From 112eb2cf276d7c0520b7855f2c5afd0c5b82c77f Mon Sep 17 00:00:00 2001 From: saymrwulf Date: Fri, 10 Jan 2025 19:07:32 +0100 Subject: [PATCH] Created using Colab --- oho_yfinance_neural_forecasting_v2.ipynb | 37858 ++++++++++++++++++++- 1 file changed, 37272 insertions(+), 586 deletions(-) diff --git a/oho_yfinance_neural_forecasting_v2.ipynb b/oho_yfinance_neural_forecasting_v2.ipynb index 6785958..47cd520 100644 --- a/oho_yfinance_neural_forecasting_v2.ipynb +++ b/oho_yfinance_neural_forecasting_v2.ipynb @@ -5,16 +5,33 @@ "colab": { "provenance": [], "collapsed_sections": [ + "gPKJPe9Mm_Fh", "xcgxn0eB5_cY", + "kkH3CM9RS2tQ", + "6GJG_GboS8LS", + "y0D1LRz4TDwR", "82eXZYrV6GP2", "GmKIHve4UuxM", "F9eHMPk8i2wf", "qb0hd8a0jEiY", - "bVW7LuMa75Da" + "bVW7LuMa75Da", + "2ny1HoF9D-wH", + "Q3i6eqEFLCvk", + "oeyuAo_aLoav", + "DmlGcOThTnrA", + "ObnwNqoqmL7t", + "d16jfKEDZp9g", + "ptFJ3NVscer6", + "0M1zd_H1L1-k", + "cgtJ7AVWvTay", + "n7g4JZhQOSxl", + "YVHZ5cbQPKaq", + "V49d8aadPNfl", + "NO1e34TSblMp" ], "toc_visible": true, "gpuType": "T4", - "authorship_tag": "ABX9TyMit+UVzLNpDkkNtEjBtKJm", + "authorship_tag": "ABX9TyOSfYIqOFOIZL1fLVlpJSEH", "include_colab_link": true }, "kernelspec": { @@ -27,7 +44,7 @@ "accelerator": "GPU", "widgets": { "application/vnd.jupyter.widget-state+json": { - "7ce2318c0683446c8de3c37466ea910c": { + "eece1386d9474d1fa53dae5ce9737bc1": { "model_module": "@jupyter-widgets/controls", "model_name": "HBoxModel", "model_module_version": "1.5.0", @@ -42,14 +59,14 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_e8ecf343ccf641c993cb0460b2c34338", - "IPY_MODEL_ebfb3e2b389c4e0d82a5421ed200ca22", - "IPY_MODEL_b8884455eb8f4f0db2b7b777ba5b53ab" + "IPY_MODEL_69d31d2cc97349dcb02a1f5082eae9af", + "IPY_MODEL_91a49bc7306742a2918ee3e28f405ae2", + "IPY_MODEL_8a38717f0b484f7cb1aec2a254f28574" ], - "layout": "IPY_MODEL_8b155df064704b6596e023afe670f022" + "layout": "IPY_MODEL_3e5b6096ad144a94a119562ff17af628" } }, - "e8ecf343ccf641c993cb0460b2c34338": { + "69d31d2cc97349dcb02a1f5082eae9af": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", @@ -64,13 +81,13 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_a8aa5635fb62486f82d01d76b4f8bb1f", + "layout": "IPY_MODEL_45ed316e69fb447c9048ee7da1966762", "placeholder": "​", - "style": "IPY_MODEL_0ebcb94fc9b744c48d15806171879027", - "value": "Predicting DataLoader 0: 100%" + "style": "IPY_MODEL_a107e4a5b7224981bc9ac95e415b2553", + "value": "Sanity Checking DataLoader 0: 100%" } }, - "ebfb3e2b389c4e0d82a5421ed200ca22": { + "91a49bc7306742a2918ee3e28f405ae2": { "model_module": "@jupyter-widgets/controls", "model_name": "FloatProgressModel", "model_module_version": "1.5.0", @@ -83,18 +100,18 @@ "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", - "bar_style": "success", + "bar_style": "", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_67bdc7dccc1f484c8ea0fc535fad06ca", - "max": 3, + "layout": "IPY_MODEL_883ec7d4ee764ace8ab37345c7f69974", + "max": 2, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_7467c894d4c641f99f9c165ca92e3d88", - "value": 3 + "style": "IPY_MODEL_305a34d1215a4d3793687c809a320f32", + "value": 2 } }, - "b8884455eb8f4f0db2b7b777ba5b53ab": { + "8a38717f0b484f7cb1aec2a254f28574": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", @@ -109,13 +126,13 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_6e0d430fc3904ac1bca1feefcf89be2b", + "layout": "IPY_MODEL_188fb67309b14104870090fa47a2a9e1", "placeholder": "​", - "style": "IPY_MODEL_563cc2c3184d47f8800623831e17dabe", - "value": " 3/3 [00:00<00:00, 45.72it/s]" + "style": "IPY_MODEL_3b3054133bb14cdd92e4f2a84e705592", + "value": " 2/2 [00:00<00:00, 437.96it/s]" } }, - "8b155df064704b6596e023afe670f022": { + "3e5b6096ad144a94a119562ff17af628": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -163,11 +180,11 @@ "padding": null, "right": null, "top": null, - "visibility": null, + "visibility": "hidden", "width": "100%" } }, - "a8aa5635fb62486f82d01d76b4f8bb1f": { + "45ed316e69fb447c9048ee7da1966762": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -219,7 +236,7 @@ "width": null } }, - "0ebcb94fc9b744c48d15806171879027": { + "a107e4a5b7224981bc9ac95e415b2553": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -234,7 +251,7 @@ "description_width": "" } }, - "67bdc7dccc1f484c8ea0fc535fad06ca": { + "883ec7d4ee764ace8ab37345c7f69974": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -286,7 +303,7 @@ "width": null } }, - "7467c894d4c641f99f9c165ca92e3d88": { + "305a34d1215a4d3793687c809a320f32": { "model_module": "@jupyter-widgets/controls", "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", @@ -302,7 +319,7 @@ "description_width": "" } }, - "6e0d430fc3904ac1bca1feefcf89be2b": { + "188fb67309b14104870090fa47a2a9e1": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -354,7 +371,7 @@ "width": null } }, - "563cc2c3184d47f8800623831e17dabe": { + "3b3054133bb14cdd92e4f2a84e705592": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -369,7 +386,7 @@ "description_width": "" } }, - "99213f5486c749a4865b467a9f686293": { + "59784e0b9585434b8ac587967dd53085": { "model_module": "@jupyter-widgets/controls", "model_name": "HBoxModel", "model_module_version": "1.5.0", @@ -384,14 +401,14 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_23e09c1d6a2a4d25a4897257682ba956", - "IPY_MODEL_3f67a78ff2f642bf9f6a1c3893345069", - "IPY_MODEL_c680c834b8884b6c994e17679f93ed19" + "IPY_MODEL_9f3c92633514473e825a206f3617e84d", + "IPY_MODEL_2469c1399d694b32932752791fb63808", + "IPY_MODEL_375931236a964892b355aabf3776638d" ], - "layout": "IPY_MODEL_57017da8ecc14854bd0a40b2f4e8f39c" + "layout": "IPY_MODEL_6f7ea5c4e1cb4fe0adee76b9e7bddc6c" } }, - "23e09c1d6a2a4d25a4897257682ba956": { + "9f3c92633514473e825a206f3617e84d": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", @@ -406,13 +423,13 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_b9b514792d834990a96a1b1869b7050c", + "layout": "IPY_MODEL_7d018e3544424c408e6eb98adf64d902", "placeholder": "​", - "style": "IPY_MODEL_0d2969c25ea442e7bd62cfa5195789ee", - "value": "Predicting DataLoader 0: 100%" + "style": "IPY_MODEL_2ee6ef851fed40e8a5b13b210aab33a7", + "value": "Epoch 199: 100%" } }, - "3f67a78ff2f642bf9f6a1c3893345069": { + "2469c1399d694b32932752791fb63808": { "model_module": "@jupyter-widgets/controls", "model_name": "FloatProgressModel", "model_module_version": "1.5.0", @@ -428,15 +445,15 @@ "bar_style": "success", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_73ac7633f7284f02a9f2cacce5199525", - "max": 1, + "layout": "IPY_MODEL_32c2693bca4842ef8ef5364719f1d3c2", + "max": 5, "min": 0, "orientation": "horizontal", - "style": "IPY_MODEL_737562fb50e74c51af6bfec7270a4d0c", - "value": 1 + "style": "IPY_MODEL_06d3600a0a55419f9dfb49311ea524de", + "value": 5 } }, - "c680c834b8884b6c994e17679f93ed19": { + "375931236a964892b355aabf3776638d": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", @@ -451,13 +468,13 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_3fdbcc1fe1c94bcfac5701d660715f03", + "layout": "IPY_MODEL_6cbd6884914f41c581a3d7e967a955bd", "placeholder": "​", - "style": "IPY_MODEL_09a2232450644024be2b7c09d138464c", - "value": " 1/1 [00:00<00:00, 82.01it/s]" + "style": "IPY_MODEL_db6ff65ff7c341c398e90442cbb2de11", + "value": " 5/5 [00:00<00:00, 28.73it/s, v_num=0, train_loss_step=1.120, train_loss_epoch=1.450]" } }, - "57017da8ecc14854bd0a40b2f4e8f39c": { + "6f7ea5c4e1cb4fe0adee76b9e7bddc6c": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -509,7 +526,7 @@ "width": "100%" } }, - "b9b514792d834990a96a1b1869b7050c": { + "7d018e3544424c408e6eb98adf64d902": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -561,7 +578,7 @@ "width": null } }, - "0d2969c25ea442e7bd62cfa5195789ee": { + "2ee6ef851fed40e8a5b13b210aab33a7": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -576,7 +593,7 @@ "description_width": "" } }, - "73ac7633f7284f02a9f2cacce5199525": { + "32c2693bca4842ef8ef5364719f1d3c2": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -628,7 +645,7 @@ "width": null } }, - "737562fb50e74c51af6bfec7270a4d0c": { + "06d3600a0a55419f9dfb49311ea524de": { "model_module": "@jupyter-widgets/controls", "model_name": "ProgressStyleModel", "model_module_version": "1.5.0", @@ -644,7 +661,7 @@ "description_width": "" } }, - "3fdbcc1fe1c94bcfac5701d660715f03": { + "6cbd6884914f41c581a3d7e967a955bd": { "model_module": "@jupyter-widgets/base", "model_name": "LayoutModel", "model_module_version": "1.2.0", @@ -696,7 +713,4111 @@ "width": null } }, - "09a2232450644024be2b7c09d138464c": { + "db6ff65ff7c341c398e90442cbb2de11": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d90c9ecbf5ac425eaf6588df006f6974": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_28c94cf1df0b455fb61c46a3833fbe53", + "IPY_MODEL_3cc60522452b4982ba9d7761a24c37da", + "IPY_MODEL_67035451f409469a8bfc9ad7e728a74e" + ], + "layout": "IPY_MODEL_fda538fe1ea54e1abe1a748962856d28" + } + }, + "28c94cf1df0b455fb61c46a3833fbe53": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bb8e6bf01056472c80b1732b6e159eca", + "placeholder": "​", + "style": "IPY_MODEL_3b097d68a29d4509b48f20274c18cc00", + "value": "Validation DataLoader 0: 100%" + } + }, + "3cc60522452b4982ba9d7761a24c37da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8235aa632a474a26a72f8be837bd5a18", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_d5429da8b05a4290a1fa4f23ef7deead", + "value": 5 + } + }, + "67035451f409469a8bfc9ad7e728a74e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2db3dff5b6764db6954746286d0e8680", + "placeholder": "​", + "style": "IPY_MODEL_2cc0e8983aeb41c689df4570f7300a30", + "value": " 5/5 [00:00<00:00, 684.90it/s]" + } + }, + "fda538fe1ea54e1abe1a748962856d28": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "bb8e6bf01056472c80b1732b6e159eca": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3b097d68a29d4509b48f20274c18cc00": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8235aa632a474a26a72f8be837bd5a18": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d5429da8b05a4290a1fa4f23ef7deead": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2db3dff5b6764db6954746286d0e8680": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2cc0e8983aeb41c689df4570f7300a30": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "23ed832bcbaa44d0b210d9072efe1795": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a23d7740cf104a018895fc94054f2399", + "IPY_MODEL_a3295bbaa42642099ddcf39f00f1763f", + "IPY_MODEL_0482ae864f504428bbe99c45953d342f" + ], + "layout": "IPY_MODEL_deb08c047d1b4d1886fc8e04fea47f14" + } + }, + "a23d7740cf104a018895fc94054f2399": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_338586b241f4450abb168f830b62480e", + "placeholder": "​", + "style": "IPY_MODEL_b56402ffd6714359ac6e8baff59ed645", + "value": "Validation DataLoader 0: 100%" + } + }, + "a3295bbaa42642099ddcf39f00f1763f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ca38914442944f2d806a8fce76ef3d80", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b90d89b8f0074ba48d204effebb9150e", + "value": 5 + } + }, + "0482ae864f504428bbe99c45953d342f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_653da141d6594a6cbb2f9527079bbee8", + "placeholder": "​", + "style": "IPY_MODEL_4f03ed4d9c9640e38165210f0c94e452", + "value": " 5/5 [00:00<00:00, 479.52it/s]" + } + }, + "deb08c047d1b4d1886fc8e04fea47f14": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "338586b241f4450abb168f830b62480e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b56402ffd6714359ac6e8baff59ed645": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ca38914442944f2d806a8fce76ef3d80": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b90d89b8f0074ba48d204effebb9150e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "653da141d6594a6cbb2f9527079bbee8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4f03ed4d9c9640e38165210f0c94e452": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "369c7032716a4e7d8c0f8ff84331bc60": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_06a23a6a007649aa835b653b4f898a7d", + "IPY_MODEL_9acbe6dca38444f8a8fc04b5bbee49b1", + "IPY_MODEL_d0951062b7594b49bcc5caf419cda7b5" + ], + "layout": "IPY_MODEL_6817fdc3b9a54af6a42a08e0f70a0e11" + } + }, + "06a23a6a007649aa835b653b4f898a7d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_76a59c512c8d420983d0bbe2dbdf436e", + "placeholder": "​", + "style": "IPY_MODEL_cc4f3210112a4fca9cdbe471b1a2550e", + "value": "Validation DataLoader 0: 100%" + } + }, + "9acbe6dca38444f8a8fc04b5bbee49b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0ab13ab4e71945f49a8ecdf89ff5577b", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e49869bb45e74296b646628183cfcc16", + "value": 5 + } + }, + "d0951062b7594b49bcc5caf419cda7b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_006aad27cabc43d88b1c9ced77d96737", + "placeholder": "​", + "style": "IPY_MODEL_813390d180f246029f28eafa9e2826b8", + "value": " 5/5 [00:00<00:00, 610.49it/s]" + } + }, + "6817fdc3b9a54af6a42a08e0f70a0e11": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "76a59c512c8d420983d0bbe2dbdf436e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "cc4f3210112a4fca9cdbe471b1a2550e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0ab13ab4e71945f49a8ecdf89ff5577b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e49869bb45e74296b646628183cfcc16": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "006aad27cabc43d88b1c9ced77d96737": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "813390d180f246029f28eafa9e2826b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a66d067be1014a258d25dd68f447d47a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f1d4f06471924aca9bbc4c81284aa7ea", + "IPY_MODEL_b3baa10524c4490f8c3cd812f803e7a1", + "IPY_MODEL_01f83c6908254adebf84772a7ab34132" + ], + "layout": "IPY_MODEL_ed1405d9e4eb4bfa90736f7e28641fac" + } + }, + "f1d4f06471924aca9bbc4c81284aa7ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d077ad963f004eb3940788f4a6caaf5f", + "placeholder": "​", + "style": "IPY_MODEL_6be9338a237d4311977dde448343f9d6", + "value": "Validation DataLoader 0: 100%" + } + }, + "b3baa10524c4490f8c3cd812f803e7a1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e744c1badb8c4400965ea5f2a71a5c44", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7dc0bf4ff46b403e92a7e237ae14fb79", + "value": 5 + } + }, + "01f83c6908254adebf84772a7ab34132": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_46941c1f97e7434288dfd5db7041b75f", + "placeholder": "​", + "style": "IPY_MODEL_035f02c67d9146869d3147d590cbc5b9", + "value": " 5/5 [00:00<00:00, 748.15it/s]" + } + }, + "ed1405d9e4eb4bfa90736f7e28641fac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "d077ad963f004eb3940788f4a6caaf5f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6be9338a237d4311977dde448343f9d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e744c1badb8c4400965ea5f2a71a5c44": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7dc0bf4ff46b403e92a7e237ae14fb79": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "46941c1f97e7434288dfd5db7041b75f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "035f02c67d9146869d3147d590cbc5b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1d27785eaf604ebb822ce19efb18846b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_0e8efe9979f246cc88ea1c87b3fb9fb3", + "IPY_MODEL_29d4c5485377491bb9b1055784b693f5", + "IPY_MODEL_87123bd1afd74380ab0f5301121391ae" + ], + "layout": "IPY_MODEL_2feb22d87abf4409b5fd6bfd0baa561d" + } + }, + "0e8efe9979f246cc88ea1c87b3fb9fb3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a49eaf2ebb1544d28b543d6f0bb2dcc0", + "placeholder": "​", + "style": "IPY_MODEL_8682e9c0088446908f4f59303c76806c", + "value": "Validation DataLoader 0: 100%" + } + }, + "29d4c5485377491bb9b1055784b693f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ea4f07d038af48a7913c1b50a8d82a8d", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_482d42e8f5ab4a418905df7c3e7b959f", + "value": 5 + } + }, + "87123bd1afd74380ab0f5301121391ae": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_007bcccd5ae744e48b73defcfcab1082", + "placeholder": "​", + "style": "IPY_MODEL_e0a20ddba8d943fba44eeb5a1801136b", + "value": " 5/5 [00:00<00:00, 709.74it/s]" + } + }, + "2feb22d87abf4409b5fd6bfd0baa561d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "a49eaf2ebb1544d28b543d6f0bb2dcc0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8682e9c0088446908f4f59303c76806c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ea4f07d038af48a7913c1b50a8d82a8d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "482d42e8f5ab4a418905df7c3e7b959f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "007bcccd5ae744e48b73defcfcab1082": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e0a20ddba8d943fba44eeb5a1801136b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "396b8fdaee444f63a672f4ff133b11e0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f38c3976eefa483c84b8a902a8a6a608", + "IPY_MODEL_5918120bc66e4cf6b1c7cb79763f94a8", + "IPY_MODEL_7a04653e468e4cdf8659f949fe36eddf" + ], + "layout": "IPY_MODEL_17430bb5d20d4fa2b8124b569c482e43" + } + }, + "f38c3976eefa483c84b8a902a8a6a608": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3069e7cf9ef8440ab8a0f9e8a6416c90", + "placeholder": "​", + "style": "IPY_MODEL_79dfa8ebca074700bf132f9cd6714128", + "value": "Validation DataLoader 0: 100%" + } + }, + "5918120bc66e4cf6b1c7cb79763f94a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a69f8a587a7046708952c7729638a849", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_bd6e03f0e13e414895c391d98866ce91", + "value": 5 + } + }, + "7a04653e468e4cdf8659f949fe36eddf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_069ce90787814709baa5ad8fdab2738d", + "placeholder": "​", + "style": "IPY_MODEL_55610428d48b45ffb7fea9c4d59f90d8", + "value": " 5/5 [00:00<00:00, 639.96it/s]" + } + }, + "17430bb5d20d4fa2b8124b569c482e43": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "3069e7cf9ef8440ab8a0f9e8a6416c90": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "79dfa8ebca074700bf132f9cd6714128": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a69f8a587a7046708952c7729638a849": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bd6e03f0e13e414895c391d98866ce91": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "069ce90787814709baa5ad8fdab2738d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "55610428d48b45ffb7fea9c4d59f90d8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3fe0686c7b3b44b19f11c9a7ee14e4f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8a7675ea22734308821ef785fe1ac4b5", + "IPY_MODEL_a60605b1fb8f4d74a3f9cb57667fb833", + "IPY_MODEL_29e381ba952e4b6d859645a63ce17ab5" + ], + "layout": "IPY_MODEL_643f81a93d7f436d910af857cc89146c" + } + }, + "8a7675ea22734308821ef785fe1ac4b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f115530360e142c6a7ccde65d1d1d497", + "placeholder": "​", + "style": "IPY_MODEL_cd8f69e3258248e19b4a34140b0f6e28", + "value": "Validation DataLoader 0: 100%" + } + }, + "a60605b1fb8f4d74a3f9cb57667fb833": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3fc32c3f1060483abea94b2a14238e4b", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_048048f53966483894945c7f367641e4", + "value": 5 + } + }, + "29e381ba952e4b6d859645a63ce17ab5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8992745c8f6b41e6aed98c7182a65b68", + "placeholder": "​", + "style": "IPY_MODEL_d2e55a76115d472c93d3d288062fe003", + "value": " 5/5 [00:00<00:00, 448.19it/s]" + } + }, + "643f81a93d7f436d910af857cc89146c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "f115530360e142c6a7ccde65d1d1d497": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "cd8f69e3258248e19b4a34140b0f6e28": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3fc32c3f1060483abea94b2a14238e4b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "048048f53966483894945c7f367641e4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "8992745c8f6b41e6aed98c7182a65b68": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d2e55a76115d472c93d3d288062fe003": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0a5647eb2da64e938696e91446228e03": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_cbc2903fa1944daaaeb641ca9648a3bd", + "IPY_MODEL_80df98cb97514d03a4ce7be49567d0a9", + "IPY_MODEL_4aaf5d22caec40a5bebdb4312ff4e057" + ], + "layout": "IPY_MODEL_e5fcf659b7a749eb80a2f1f93f313435" + } + }, + "cbc2903fa1944daaaeb641ca9648a3bd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dd091c40382f4d14971d8626451f3681", + "placeholder": "​", + "style": "IPY_MODEL_3d526b2167f24955abf2626792a9a167", + "value": "Validation DataLoader 0: 100%" + } + }, + "80df98cb97514d03a4ce7be49567d0a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8d80a36453654ea79b6ce8ed4b823300", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_369ef6ed789f4f218f8cf55b5d567dd2", + "value": 5 + } + }, + "4aaf5d22caec40a5bebdb4312ff4e057": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4b0e0a7376764fde9c294311e28f92aa", + "placeholder": "​", + "style": "IPY_MODEL_46cbe6ef36e84e92acbc3ff5debffbb8", + "value": " 5/5 [00:00<00:00, 501.05it/s]" + } + }, + "e5fcf659b7a749eb80a2f1f93f313435": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "dd091c40382f4d14971d8626451f3681": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3d526b2167f24955abf2626792a9a167": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8d80a36453654ea79b6ce8ed4b823300": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "369ef6ed789f4f218f8cf55b5d567dd2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4b0e0a7376764fde9c294311e28f92aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "46cbe6ef36e84e92acbc3ff5debffbb8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e454704355ed4bfc85042f8b25226c33": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7ed718c826d049eaa263f1d97d966442", + "IPY_MODEL_5dae38b4ba6947d8a79e87f05e1e417d", + "IPY_MODEL_37176c124b3d478a87606324e8a39171" + ], + "layout": "IPY_MODEL_37c7edaaea4e42d9b805bbb88c1ae18b" + } + }, + "7ed718c826d049eaa263f1d97d966442": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b0c1cd014bc34e7e9d399d68e974aac9", + "placeholder": "​", + "style": "IPY_MODEL_3ac9903122aa488597e1106468061f60", + "value": "Validation DataLoader 0: 100%" + } + }, + "5dae38b4ba6947d8a79e87f05e1e417d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4ee3bd752dd745dfb5dddd753cd59e83", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_875e0872fcc54ae08c17ecdbdd8510a8", + "value": 5 + } + }, + "37176c124b3d478a87606324e8a39171": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1eda27e9a37d4ecb881ff8ffd89b1690", + "placeholder": "​", + "style": "IPY_MODEL_62054e44001343ad8486680cfed23fe9", + "value": " 5/5 [00:00<00:00, 822.57it/s]" + } + }, + "37c7edaaea4e42d9b805bbb88c1ae18b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "b0c1cd014bc34e7e9d399d68e974aac9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3ac9903122aa488597e1106468061f60": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4ee3bd752dd745dfb5dddd753cd59e83": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "875e0872fcc54ae08c17ecdbdd8510a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "1eda27e9a37d4ecb881ff8ffd89b1690": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "62054e44001343ad8486680cfed23fe9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f70e39aef8f540e48873cf764b6d352a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_58e9e08ded5d496cb3c926d141578f26", + "IPY_MODEL_60e6f2de07674319bc06d6d8544d6642", + "IPY_MODEL_419a63ce82bf49cb9b6df954edf3c6d2" + ], + "layout": "IPY_MODEL_7a39db1891944157a4b44a6c9b2f31e0" + } + }, + "58e9e08ded5d496cb3c926d141578f26": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7a8da2f602554d86ab7b9505dc9840c3", + "placeholder": "​", + "style": "IPY_MODEL_702939b08a404ecc8c72a692204cf318", + "value": "Validation DataLoader 0: 100%" + } + }, + "60e6f2de07674319bc06d6d8544d6642": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6ed7e7d6e02545d99332373dbb6470ed", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_895f6226472b42ca9ecc7fb3ece321b1", + "value": 5 + } + }, + "419a63ce82bf49cb9b6df954edf3c6d2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6782038a43334a508525b57c7136ccde", + "placeholder": "​", + "style": "IPY_MODEL_e7ad95b9b898443796666b096c2aff7a", + "value": " 5/5 [00:00<00:00, 705.19it/s]" + } + }, + "7a39db1891944157a4b44a6c9b2f31e0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7a8da2f602554d86ab7b9505dc9840c3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "702939b08a404ecc8c72a692204cf318": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6ed7e7d6e02545d99332373dbb6470ed": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "895f6226472b42ca9ecc7fb3ece321b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "6782038a43334a508525b57c7136ccde": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e7ad95b9b898443796666b096c2aff7a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "373351f3eca74127b4208aaebc139b27": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_6d39e447c5e64284ac9d8c0ae9242251", + "IPY_MODEL_19437b1afdcd47518653d4afa89ce314", + "IPY_MODEL_18b5f2f5fa58489dba6ce9928aab776f" + ], + "layout": "IPY_MODEL_548f8629696d4044a60b0f92c82eff2d" + } + }, + "6d39e447c5e64284ac9d8c0ae9242251": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_547c0a8ef61b4ee4965d7bc1ea0c7877", + "placeholder": "​", + "style": "IPY_MODEL_8a929578481d4d11b958c4a3d6a2de98", + "value": "Predicting DataLoader 0: 100%" + } + }, + "19437b1afdcd47518653d4afa89ce314": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4356ee1791dd494fa65b1f9df2e67884", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_edcd3bf640b34586bc53df7344101213", + "value": 5 + } + }, + "18b5f2f5fa58489dba6ce9928aab776f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_39649b25b2ff4504ad0ead7923d158c6", + "placeholder": "​", + "style": "IPY_MODEL_9221f2631eec4639895dc8ad2136af1b", + "value": " 5/5 [00:00<00:00, 123.96it/s]" + } + }, + "548f8629696d4044a60b0f92c82eff2d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "547c0a8ef61b4ee4965d7bc1ea0c7877": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8a929578481d4d11b958c4a3d6a2de98": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4356ee1791dd494fa65b1f9df2e67884": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "edcd3bf640b34586bc53df7344101213": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "39649b25b2ff4504ad0ead7923d158c6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9221f2631eec4639895dc8ad2136af1b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8a9b2224d0124580bbab900023e541c9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5b101be64d0d4b5989f2518cb2b2355a", + "IPY_MODEL_66531e9e9eba4ef2a661d34a7325f4bd", + "IPY_MODEL_c878d9cd52804c8e847eb7b2c020af73" + ], + "layout": "IPY_MODEL_e6439f79e2f840c4804c1c52aad38288" + } + }, + "5b101be64d0d4b5989f2518cb2b2355a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c4e9987987e743b1a9ae68cc59ecbcf4", + "placeholder": "​", + "style": "IPY_MODEL_05faa851df0247a79b7af18b8a78a6bd", + "value": "Predicting DataLoader 0: 100%" + } + }, + "66531e9e9eba4ef2a661d34a7325f4bd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bed58281b5a041f59226f2cfaca25400", + "max": 5, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_adc66c2c9a81456dbb3e1bca489dfd78", + "value": 5 + } + }, + "c878d9cd52804c8e847eb7b2c020af73": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_93b8b3c7cab443a1b1de3f82ae48e176", + "placeholder": "​", + "style": "IPY_MODEL_525ef7aa587449fab75bf00acaa12751", + "value": " 5/5 [00:00<00:00, 110.88it/s]" + } + }, + "e6439f79e2f840c4804c1c52aad38288": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "c4e9987987e743b1a9ae68cc59ecbcf4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "05faa851df0247a79b7af18b8a78a6bd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bed58281b5a041f59226f2cfaca25400": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "adc66c2c9a81456dbb3e1bca489dfd78": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "93b8b3c7cab443a1b1de3f82ae48e176": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "525ef7aa587449fab75bf00acaa12751": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", @@ -2078,6 +6199,22236 @@ "_view_name": "StyleView", "description_width": "" } + }, + "9b2a15c6ec574d4083992c42a8293c63": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3710c8b2417e4e5daad73819eb946c0e", + "IPY_MODEL_fc441102de0a496ca554c6ea6f6b0a25", + "IPY_MODEL_83cf05c5fb374addac4433698c8135b6" + ], + "layout": "IPY_MODEL_3eea088d06144365bfc1903ade0fcd75" + } + }, + "3710c8b2417e4e5daad73819eb946c0e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_05ab2ed5b5a44b3ebe5b1c2390013e2e", + "placeholder": "​", + "style": "IPY_MODEL_10fb7498dfae44eeaa1504c9fd44e744", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "fc441102de0a496ca554c6ea6f6b0a25": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3131f2d52fdd43f78fdbbe3700305f9f", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ad28650c2afd42f1a54c2374ebaa2c93", + "value": 1 + } + }, + "83cf05c5fb374addac4433698c8135b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7fc68f026f5749eb83b6a374f1efe4d7", + "placeholder": "​", + "style": "IPY_MODEL_0bfd5d20f6f74ece8fa8353ceeccdb99", + "value": " 1/1 [00:00<00:00,  1.90it/s]" + } + }, + "3eea088d06144365bfc1903ade0fcd75": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "05ab2ed5b5a44b3ebe5b1c2390013e2e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "10fb7498dfae44eeaa1504c9fd44e744": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3131f2d52fdd43f78fdbbe3700305f9f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ad28650c2afd42f1a54c2374ebaa2c93": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "7fc68f026f5749eb83b6a374f1efe4d7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0bfd5d20f6f74ece8fa8353ceeccdb99": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "eb594a337c344daa9b2103ef273f7de2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_35541c64f55744d4b34df501385d902f", + "IPY_MODEL_47f11ccd26df44bd87e9b340a58a3718", + "IPY_MODEL_1ff5913b612f4aa1ac476741579703c0" + ], + "layout": "IPY_MODEL_eca550d543c7452fa76f86132b4b8f1f" + } + }, + "35541c64f55744d4b34df501385d902f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_922c62c115d5471693e63589b5af83e9", + "placeholder": "​", + "style": "IPY_MODEL_a4a09e5d8ee24d4db9438fae068f9eea", + "value": "Epoch 199: 100%" + } + }, + "47f11ccd26df44bd87e9b340a58a3718": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_42fcfc473be943619b04011410eadfa5", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_fcbe675f9b1f4e19a991ee9040036ef4", + "value": 1 + } + }, + "1ff5913b612f4aa1ac476741579703c0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4c0a1d48c59440a0912864d043ea849c", + "placeholder": "​", + "style": "IPY_MODEL_233b3deec9e64bd690a5f2a02761d6a7", + "value": " 1/1 [00:00<00:00,  8.97it/s, v_num=0, train_loss_step=9.800, train_loss_epoch=9.800, valid_loss=6.060]" + } + }, + "eca550d543c7452fa76f86132b4b8f1f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "922c62c115d5471693e63589b5af83e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a4a09e5d8ee24d4db9438fae068f9eea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "42fcfc473be943619b04011410eadfa5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fcbe675f9b1f4e19a991ee9040036ef4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4c0a1d48c59440a0912864d043ea849c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "233b3deec9e64bd690a5f2a02761d6a7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a5af26360a794880ba6891d0b6ed1005": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a108c7b7ab424344bb6c4a68f5c04cf5", + "IPY_MODEL_0d6ea95614cc45d9a6b555f6bda73e41", + "IPY_MODEL_dfa4418d37c042cab31e759f5a09b774" + ], + "layout": "IPY_MODEL_0d590d7a1bcf453a8d194ef7f3dd38bb" + } + }, + "a108c7b7ab424344bb6c4a68f5c04cf5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e445b4eea10243dd9d4f041704ebd1e4", + "placeholder": "​", + "style": "IPY_MODEL_23320e8207434059ad55fc7e0d2bdd7f", + "value": "Validation DataLoader 0: 100%" + } + }, + "0d6ea95614cc45d9a6b555f6bda73e41": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c2ca77c098ee4acea91b233a5328f82e", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b1118c573e9f4c7dab1498f2dad49ee5", + "value": 1 + } + }, + "dfa4418d37c042cab31e759f5a09b774": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e442cf3b017b4a5c9ea902fcb7411544", + "placeholder": "​", + "style": "IPY_MODEL_399b9c28ef89465b885d2903178c2f90", + "value": " 1/1 [00:00<00:00, 66.65it/s]" + } + }, + "0d590d7a1bcf453a8d194ef7f3dd38bb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "e445b4eea10243dd9d4f041704ebd1e4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "23320e8207434059ad55fc7e0d2bdd7f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c2ca77c098ee4acea91b233a5328f82e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b1118c573e9f4c7dab1498f2dad49ee5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e442cf3b017b4a5c9ea902fcb7411544": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "399b9c28ef89465b885d2903178c2f90": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bf3e0bf383464e51b6cbb0454217489c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_fd401a9a1b11493eae14e1a7b22603b5", + "IPY_MODEL_e316413275e94595aeb453f77329cede", + "IPY_MODEL_3714e7874f2541a286631c8b41ea0475" + ], + "layout": "IPY_MODEL_53b7b04d78c54b6fa6da43e1c49a76b3" + } + }, + "fd401a9a1b11493eae14e1a7b22603b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7a09921558c84eef84122427dac7aa91", + "placeholder": "​", + "style": "IPY_MODEL_311ea945f3b243839ecc999a1ad994d8", + "value": "Validation DataLoader 0: 100%" + } + }, + "e316413275e94595aeb453f77329cede": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_27d11ae175fb4292b76ad935944b5bee", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9ad1ebbf1e1a49d5a87f220262552294", + "value": 1 + } + }, + "3714e7874f2541a286631c8b41ea0475": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_11de2b270a114898a563a3c2a576f5d3", + "placeholder": "​", + "style": "IPY_MODEL_a17826b434b2446e9b741c7db3e0aab0", + "value": " 1/1 [00:00<00:00, 73.77it/s]" + } + }, + "53b7b04d78c54b6fa6da43e1c49a76b3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7a09921558c84eef84122427dac7aa91": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "311ea945f3b243839ecc999a1ad994d8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "27d11ae175fb4292b76ad935944b5bee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9ad1ebbf1e1a49d5a87f220262552294": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "11de2b270a114898a563a3c2a576f5d3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a17826b434b2446e9b741c7db3e0aab0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "730ac32049084e81a6d76a7abdfb3de6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_b13c9ce3dccf40ba9f5dfd55f6395237", + "IPY_MODEL_3756b71af42a47c699c7e8de4e851365", + "IPY_MODEL_4858a3b0a5824a519431aa1530d60d19" + ], + "layout": "IPY_MODEL_6c67e662d200437a8bc60d8e07266dd0" + } + }, + "b13c9ce3dccf40ba9f5dfd55f6395237": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6210509dfb2d44f5899d69b95fb3b6aa", + "placeholder": "​", + "style": "IPY_MODEL_ccb601ddc7fb43b0a0feda51a317214f", + "value": "Predicting DataLoader 0: 100%" + } + }, + "3756b71af42a47c699c7e8de4e851365": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9558275df6cf4617a0fed7ddb7bda4d6", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_c34cdee6e5404bfd87483142c77b41b5", + "value": 1 + } + }, + "4858a3b0a5824a519431aa1530d60d19": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_143def195d3b4dd7bedac577bf8d8b1e", + "placeholder": "​", + "style": "IPY_MODEL_e09479001bf147ab975615fe6411fcfe", + "value": " 1/1 [00:00<00:00, 54.57it/s]" + } + }, + "6c67e662d200437a8bc60d8e07266dd0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "6210509dfb2d44f5899d69b95fb3b6aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ccb601ddc7fb43b0a0feda51a317214f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9558275df6cf4617a0fed7ddb7bda4d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c34cdee6e5404bfd87483142c77b41b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "143def195d3b4dd7bedac577bf8d8b1e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e09479001bf147ab975615fe6411fcfe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "51b7090355ac4c9ca016a174bcab3304": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_64d92d0053394ea4bb2e59ce19532016", + "IPY_MODEL_cf54983d610a4771bcc35155ed3938c3", + "IPY_MODEL_ef92e6488d44406c9f0b00e6eb7bc2a5" + ], + "layout": "IPY_MODEL_9daf8f58c8cf441683aa60ff6c093a68" + } + }, + "64d92d0053394ea4bb2e59ce19532016": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7c88a42e1779462896a5beed87f89482", + "placeholder": "​", + "style": "IPY_MODEL_06d3e437a474472a8f79bf58065f60c8", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "cf54983d610a4771bcc35155ed3938c3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_db30810b05904d4b821b719227cd86f1", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b8383a63482c489db81fe98110751028", + "value": 1 + } + }, + "ef92e6488d44406c9f0b00e6eb7bc2a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fd59c7b446da4e4b859fc64d40d91c46", + "placeholder": "​", + "style": "IPY_MODEL_7863116d30d94c99b5deea5c2a3c25e8", + "value": " 1/1 [00:00<00:00, 57.62it/s]" + } + }, + "9daf8f58c8cf441683aa60ff6c093a68": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7c88a42e1779462896a5beed87f89482": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "06d3e437a474472a8f79bf58065f60c8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "db30810b05904d4b821b719227cd86f1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b8383a63482c489db81fe98110751028": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "fd59c7b446da4e4b859fc64d40d91c46": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7863116d30d94c99b5deea5c2a3c25e8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8371260333db44828ece188498f590ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_50340af53f1c4474a2651a6c058d2c7c", + "IPY_MODEL_c9957ad0047a4e7fa077c2774cec3e7f", + "IPY_MODEL_72c9f9f0f893406ab3dac7471904c816" + ], + "layout": "IPY_MODEL_7472e6f6020a44dca38803bbfb9c9509" + } + }, + "50340af53f1c4474a2651a6c058d2c7c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b8eaa9d5402142bba407dacf76eb0b1d", + "placeholder": "​", + "style": "IPY_MODEL_9e82aa1f3d9c47eabe2c43878d55cf01", + "value": "Epoch 199: 100%" + } + }, + "c9957ad0047a4e7fa077c2774cec3e7f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_759543fbee7947d2a2247561546a3ea7", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_19c78bb94ca046af96a13611eb9f4346", + "value": 1 + } + }, + "72c9f9f0f893406ab3dac7471904c816": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_51c97f08d363445b9a267e6c981863a4", + "placeholder": "​", + "style": "IPY_MODEL_104e025747ef42f89a3753b49f50e2b9", + "value": " 1/1 [00:00<00:00, 10.40it/s, v_num=2, train_loss_step=10.10, train_loss_epoch=10.10, valid_loss=14.90]" + } + }, + "7472e6f6020a44dca38803bbfb9c9509": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "b8eaa9d5402142bba407dacf76eb0b1d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9e82aa1f3d9c47eabe2c43878d55cf01": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "759543fbee7947d2a2247561546a3ea7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "19c78bb94ca046af96a13611eb9f4346": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "51c97f08d363445b9a267e6c981863a4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "104e025747ef42f89a3753b49f50e2b9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4661bfaa42b5402fb2897bd112f0d972": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_073df57fd36a47e89961e0ddb2d5e8c6", + "IPY_MODEL_86ed752bfa784aff87e02e69ceb469c1", + "IPY_MODEL_8e9a3bb9b14f4d3788c6b1384a9a26f5" + ], + "layout": "IPY_MODEL_b252128a8a8440ff82624e5959e3a6ab" + } + }, + "073df57fd36a47e89961e0ddb2d5e8c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7186fcaba4ab4de5a503e58279b1bb08", + "placeholder": "​", + "style": "IPY_MODEL_6622cf8f17ea4a9a917312007815007b", + "value": "Validation DataLoader 0: 100%" + } + }, + "86ed752bfa784aff87e02e69ceb469c1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d00c18eb0b9e4bd5acbeec5cb7ef9a8a", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_a7912822018c4b7d9433aa2cc721d991", + "value": 1 + } + }, + "8e9a3bb9b14f4d3788c6b1384a9a26f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_566999ca31144bfaa80a6366a2478433", + "placeholder": "​", + "style": "IPY_MODEL_59baf10a18c6444ba1f7e7e200bd8fde", + "value": " 1/1 [00:00<00:00, 77.80it/s]" + } + }, + "b252128a8a8440ff82624e5959e3a6ab": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7186fcaba4ab4de5a503e58279b1bb08": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6622cf8f17ea4a9a917312007815007b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d00c18eb0b9e4bd5acbeec5cb7ef9a8a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a7912822018c4b7d9433aa2cc721d991": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "566999ca31144bfaa80a6366a2478433": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "59baf10a18c6444ba1f7e7e200bd8fde": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "3d07575e0ac2450ca45890af692d13e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_78f70abe75524593bf061bb9649641f1", + "IPY_MODEL_4fe62774c02e4c59a0a02535b23610ea", + "IPY_MODEL_867f7a98c58f49698454af96a777cff7" + ], + "layout": "IPY_MODEL_dcb76db070284bab8918b42adf5b58d6" + } + }, + "78f70abe75524593bf061bb9649641f1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bf47b6240276450b865e2ad040ac12a9", + "placeholder": "​", + "style": "IPY_MODEL_dc3b6e1479604048a4b1d42c0ac9f89b", + "value": "Validation DataLoader 0: 100%" + } + }, + "4fe62774c02e4c59a0a02535b23610ea": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2bf9147ea07a4d2880cb0f6f7af41f2b", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_273ee3facaef4667be4a2cbca4d0df75", + "value": 1 + } + }, + "867f7a98c58f49698454af96a777cff7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9318063b6bbe4e7783d3237255ed2690", + "placeholder": "​", + "style": "IPY_MODEL_e900151f13da43f7bb8873e55d8ee491", + "value": " 1/1 [00:00<00:00, 88.77it/s]" + } + }, + "dcb76db070284bab8918b42adf5b58d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "bf47b6240276450b865e2ad040ac12a9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "dc3b6e1479604048a4b1d42c0ac9f89b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2bf9147ea07a4d2880cb0f6f7af41f2b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "273ee3facaef4667be4a2cbca4d0df75": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9318063b6bbe4e7783d3237255ed2690": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e900151f13da43f7bb8873e55d8ee491": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cedadc586dfa4cc49eafaa0574d3b48f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_be78823af43040cf8c4bede5e81aaaf0", + "IPY_MODEL_87f1a9a325624ca8a753bdce35dc57b4", + "IPY_MODEL_a5c527d4dd23476aaa62ee5014990514" + ], + "layout": "IPY_MODEL_41e9d6e443dd4ca19a2778e9ff00d2ac" + } + }, + "be78823af43040cf8c4bede5e81aaaf0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2ca682dd25ac4e058b3192002834a458", + "placeholder": "​", + "style": "IPY_MODEL_faad91131edc44568465fbad9bf690f9", + "value": "Predicting DataLoader 0: 100%" + } + }, + "87f1a9a325624ca8a753bdce35dc57b4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_77e16bc6deb14feab090b684089c6fbf", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_eb772d5c400f49acaf8798648423109c", + "value": 1 + } + }, + "a5c527d4dd23476aaa62ee5014990514": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1ab55c81929b4d50a5427f5c3e1caf73", + "placeholder": "​", + "style": "IPY_MODEL_8e43482f92f34531a3d513099090bb0b", + "value": " 1/1 [00:00<00:00, 79.15it/s]" + } + }, + "41e9d6e443dd4ca19a2778e9ff00d2ac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "2ca682dd25ac4e058b3192002834a458": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "faad91131edc44568465fbad9bf690f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "77e16bc6deb14feab090b684089c6fbf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "eb772d5c400f49acaf8798648423109c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "1ab55c81929b4d50a5427f5c3e1caf73": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8e43482f92f34531a3d513099090bb0b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cb26e78d55a34343b40db69bb3d297ad": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5d59d8acb04c46bf8bbf270f8763e59d", + "IPY_MODEL_c0599fb95d8342a4befb8528c38ec0a7", + "IPY_MODEL_7992a7c7cce843a59a705e8fcbff75f2" + ], + "layout": "IPY_MODEL_b455d1fb532b46c183f7498f62895d88" + } + }, + "5d59d8acb04c46bf8bbf270f8763e59d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9e3b4282e3cf44a29757756c48777ef7", + "placeholder": "​", + "style": "IPY_MODEL_7e68f9fa6f624de1ac36ed8658773bf1", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "c0599fb95d8342a4befb8528c38ec0a7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6a8eeec38532483b952563bb398467b8", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_a523509fb4474ebb82c32a146050510a", + "value": 1 + } + }, + "7992a7c7cce843a59a705e8fcbff75f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_58247aa9c1974eb9bec72c1c36ee6803", + "placeholder": "​", + "style": "IPY_MODEL_fae278a4d4464d90a32126e402a8b814", + "value": " 1/1 [00:00<00:00, 60.43it/s]" + } + }, + "b455d1fb532b46c183f7498f62895d88": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "9e3b4282e3cf44a29757756c48777ef7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7e68f9fa6f624de1ac36ed8658773bf1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6a8eeec38532483b952563bb398467b8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a523509fb4474ebb82c32a146050510a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "58247aa9c1974eb9bec72c1c36ee6803": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fae278a4d4464d90a32126e402a8b814": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "88ef98ddf09f4cbfa25516790c6e4666": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5beb476b56e24ec28948e346b5b022e5", + "IPY_MODEL_f39192a7b9c848b8acffef927c6bd12a", + "IPY_MODEL_2fc2276d54e64f4e8ac1486046a9198e" + ], + "layout": "IPY_MODEL_1668fae1c92241ff9d23161d2d0373ab" + } + }, + "5beb476b56e24ec28948e346b5b022e5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c9b4e9639f304187a1eb74780c9d1ed6", + "placeholder": "​", + "style": "IPY_MODEL_163d36945d2a4148af850de5422e7d52", + "value": "Epoch 199: 100%" + } + }, + "f39192a7b9c848b8acffef927c6bd12a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_742f9722b7e94d60a076426980347298", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_fa0365e669a347a496addc44c111b6d2", + "value": 1 + } + }, + "2fc2276d54e64f4e8ac1486046a9198e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_092c93d93fb845afa53caaafddd97bd0", + "placeholder": "​", + "style": "IPY_MODEL_2d30607334574fc2ba0e11b4d3c0e3a6", + "value": " 1/1 [00:00<00:00,  7.20it/s, v_num=4, train_loss_step=9.270, train_loss_epoch=9.270, valid_loss=7.320]" + } + }, + "1668fae1c92241ff9d23161d2d0373ab": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "c9b4e9639f304187a1eb74780c9d1ed6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "163d36945d2a4148af850de5422e7d52": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "742f9722b7e94d60a076426980347298": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fa0365e669a347a496addc44c111b6d2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "092c93d93fb845afa53caaafddd97bd0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2d30607334574fc2ba0e11b4d3c0e3a6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "823bfaa4d24f42eab9d620d22e773593": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_407115dab83941f7a16baa316ef05265", + "IPY_MODEL_40ffebba1b8f4dc69955a9d20ec5da04", + "IPY_MODEL_3bcccbf505ad424b9814fff7884ae1e0" + ], + "layout": "IPY_MODEL_b0fcf75c7d4e47cea74e92a42c2354d3" + } + }, + "407115dab83941f7a16baa316ef05265": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_af2a260a9876418db1f343a4b6e68af6", + "placeholder": "​", + "style": "IPY_MODEL_fb29f56d0f1e472982a794d1131adc34", + "value": "Validation DataLoader 0: 100%" + } + }, + "40ffebba1b8f4dc69955a9d20ec5da04": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bf83a628f53444acbd1534c9e5c6232d", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_d1c3f361bea84dc0a546b82e0e1cfa40", + "value": 1 + } + }, + "3bcccbf505ad424b9814fff7884ae1e0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6232fa9941704a2fa48cec111291f696", + "placeholder": "​", + "style": "IPY_MODEL_e9bcbd4f041e486c81fa790bf88e28ac", + "value": " 1/1 [00:00<00:00, 79.09it/s]" + } + }, + "b0fcf75c7d4e47cea74e92a42c2354d3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "af2a260a9876418db1f343a4b6e68af6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fb29f56d0f1e472982a794d1131adc34": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bf83a628f53444acbd1534c9e5c6232d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d1c3f361bea84dc0a546b82e0e1cfa40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "6232fa9941704a2fa48cec111291f696": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e9bcbd4f041e486c81fa790bf88e28ac": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "683c9744bfbd4e7dba8ff4274dcb229e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d80f3e6e37624da887a091d1fda6045a", + "IPY_MODEL_39075eb5c81f405295ae527bad25ab50", + "IPY_MODEL_e8b091b2b55d45e1ad1406421ed62c9a" + ], + "layout": "IPY_MODEL_2d963d23e88f4ee5854be719bd5402b3" + } + }, + "d80f3e6e37624da887a091d1fda6045a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_29da41d42de3456199930baa27b6c4ad", + "placeholder": "​", + "style": "IPY_MODEL_0bd9ea41abc342758cc41e02948eaaa6", + "value": "Validation DataLoader 0: 100%" + } + }, + "39075eb5c81f405295ae527bad25ab50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_be3dc2f749e2436ba2eb3cfc32a3c36f", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_6815584731764713883274aa7420599d", + "value": 1 + } + }, + "e8b091b2b55d45e1ad1406421ed62c9a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a12f36261cac478098ab30ab2cf23df7", + "placeholder": "​", + "style": "IPY_MODEL_9f73fe866d0240fdbc61fa4c8b690963", + "value": " 1/1 [00:00<00:00, 51.64it/s]" + } + }, + "2d963d23e88f4ee5854be719bd5402b3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "29da41d42de3456199930baa27b6c4ad": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0bd9ea41abc342758cc41e02948eaaa6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "be3dc2f749e2436ba2eb3cfc32a3c36f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6815584731764713883274aa7420599d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a12f36261cac478098ab30ab2cf23df7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9f73fe866d0240fdbc61fa4c8b690963": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4e03828609c14bf48dee988c033e6970": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c1314af3895646a2ab516979dfab7c12", + "IPY_MODEL_e7f9fd95aa8e44af99e1aba0ac570bc7", + "IPY_MODEL_5acdd7e85059428b80bbf74dba2ebfc0" + ], + "layout": "IPY_MODEL_b5b61dad158f41ad9ec3800d15bf41f8" + } + }, + "c1314af3895646a2ab516979dfab7c12": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fb926f84bc614b73ab36364589333b7b", + "placeholder": "​", + "style": "IPY_MODEL_ec22e31ad2884335b2706e75065842f1", + "value": "Predicting DataLoader 0: 100%" + } + }, + "e7f9fd95aa8e44af99e1aba0ac570bc7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f00619786a3c4a3685c09997d4c8def7", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_6cd7ebbcd6c94703a889044688e6fa12", + "value": 1 + } + }, + "5acdd7e85059428b80bbf74dba2ebfc0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_29b848809e934023a67b9667052a923d", + "placeholder": "​", + "style": "IPY_MODEL_7b943515e5984f93ab6d190cb51c1516", + "value": " 1/1 [00:00<00:00, 48.30it/s]" + } + }, + "b5b61dad158f41ad9ec3800d15bf41f8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "fb926f84bc614b73ab36364589333b7b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ec22e31ad2884335b2706e75065842f1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f00619786a3c4a3685c09997d4c8def7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6cd7ebbcd6c94703a889044688e6fa12": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "29b848809e934023a67b9667052a923d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7b943515e5984f93ab6d190cb51c1516": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bbd93f4dfd894dd18c127514556276ee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c8d1a66d610248a9b5ae431ccf85ad71", + "IPY_MODEL_11efb31ff86946cab147357c22755e99", + "IPY_MODEL_46e8c0a70fe942ecbe736d24ba53a4f6" + ], + "layout": "IPY_MODEL_182a543214414ae186649197786bcafa" + } + }, + "c8d1a66d610248a9b5ae431ccf85ad71": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5752e257c3224622ad85e160c6fa0b2e", + "placeholder": "​", + "style": "IPY_MODEL_638f8ba63e3c4e0e944c1c16914a8e40", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "11efb31ff86946cab147357c22755e99": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f8620f6d15c14fc5b939a5b363afa94b", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_c9dcde5e73fe481a80214785be7bfdc7", + "value": 1 + } + }, + "46e8c0a70fe942ecbe736d24ba53a4f6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_00a15fdb0aaf4f40872dd3cc13f49d78", + "placeholder": "​", + "style": "IPY_MODEL_647bbc3f3c5a471aaecd09bb04a3d2b7", + "value": " 1/1 [00:00<00:00, 98.34it/s]" + } + }, + "182a543214414ae186649197786bcafa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "5752e257c3224622ad85e160c6fa0b2e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "638f8ba63e3c4e0e944c1c16914a8e40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f8620f6d15c14fc5b939a5b363afa94b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c9dcde5e73fe481a80214785be7bfdc7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "00a15fdb0aaf4f40872dd3cc13f49d78": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "647bbc3f3c5a471aaecd09bb04a3d2b7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6c15cb5d0764458498659aae9dc680dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_e03740a8bc0a4a84ab74e1452e0faa79", + "IPY_MODEL_bf56afc48c1848119da9f35e706fb4a4", + "IPY_MODEL_99d1535da69b475d940eedd1b8a9a24b" + ], + "layout": "IPY_MODEL_6723fc4d1fbd485d94c297707e9064bf" + } + }, + "e03740a8bc0a4a84ab74e1452e0faa79": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fd244f3908cd47089d6781540be156a2", + "placeholder": "​", + "style": "IPY_MODEL_4077c4a70a5b4de4af968df98f618d10", + "value": "Epoch 199: 100%" + } + }, + "bf56afc48c1848119da9f35e706fb4a4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_add1f192cfff426787635125c417308a", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_387d718f72d54b119c4f3d241da5fd3a", + "value": 1 + } + }, + "99d1535da69b475d940eedd1b8a9a24b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6ad97accfcc04161b825b2cab2f20f57", + "placeholder": "​", + "style": "IPY_MODEL_67735b98c6364039a83bf31515275174", + "value": " 1/1 [00:00<00:00, 13.33it/s, v_num=61, train_loss_step=10.30, train_loss_epoch=10.30, valid_loss=15.30]" + } + }, + "6723fc4d1fbd485d94c297707e9064bf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "fd244f3908cd47089d6781540be156a2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4077c4a70a5b4de4af968df98f618d10": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "add1f192cfff426787635125c417308a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "387d718f72d54b119c4f3d241da5fd3a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "6ad97accfcc04161b825b2cab2f20f57": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "67735b98c6364039a83bf31515275174": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c675704dd30947a6a13488e14dd858b3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_77f4546846fa4d04b5e729c42ab4a5be", + "IPY_MODEL_0f6bf0444fb447feaa07ac4f0528dc6a", + "IPY_MODEL_1f00d50f5be245788122efe1aa058374" + ], + "layout": "IPY_MODEL_759ae9ec3278441b95bbbb349e26edbd" + } + }, + "77f4546846fa4d04b5e729c42ab4a5be": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7c689e1e8f5f4b69ae7302967d03a70d", + "placeholder": "​", + "style": "IPY_MODEL_3d692553d2484cf093dfd80b67e214c6", + "value": "Validation DataLoader 0: 100%" + } + }, + "0f6bf0444fb447feaa07ac4f0528dc6a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a8f845446cf146c4abe252d5d5c2fb0c", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0b2aca1b28934eb591efea11417fd88a", + "value": 1 + } + }, + "1f00d50f5be245788122efe1aa058374": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_cd6e3dee5ef4423f890f4e4e6d6d3015", + "placeholder": "​", + "style": "IPY_MODEL_1544907986aa4e84a60de582de6d5833", + "value": " 1/1 [00:00<00:00, 104.37it/s]" + } + }, + "759ae9ec3278441b95bbbb349e26edbd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7c689e1e8f5f4b69ae7302967d03a70d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3d692553d2484cf093dfd80b67e214c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a8f845446cf146c4abe252d5d5c2fb0c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0b2aca1b28934eb591efea11417fd88a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "cd6e3dee5ef4423f890f4e4e6d6d3015": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1544907986aa4e84a60de582de6d5833": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e634558f6c6b4826939f7e1aeeb5ad02": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_6972882f76904fcfa36aefd8732ca6f1", + "IPY_MODEL_948aa08477c7445e88107d2369d8c95b", + "IPY_MODEL_7374dd420b3b4562aef0c770afb82314" + ], + "layout": "IPY_MODEL_1c66e32461e34ac3b41e215c4a8b3aec" + } + }, + "6972882f76904fcfa36aefd8732ca6f1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a05d720655ae437c8ac92e05d2e858f4", + "placeholder": "​", + "style": "IPY_MODEL_ca37edb61e694ee0bfc76c1958f05f64", + "value": "Validation DataLoader 0: 100%" + } + }, + "948aa08477c7445e88107d2369d8c95b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4ef6ad8a1cf34672a582e5f0cc65d360", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1219330a89fa4155bdc5f10c7d5c247e", + "value": 1 + } + }, + "7374dd420b3b4562aef0c770afb82314": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_39d31dc4603344399b5e6740cbc6319f", + "placeholder": "​", + "style": "IPY_MODEL_97e38df9d3374487bed199564447a45d", + "value": " 1/1 [00:00<00:00, 95.76it/s]" + } + }, + "1c66e32461e34ac3b41e215c4a8b3aec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "a05d720655ae437c8ac92e05d2e858f4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ca37edb61e694ee0bfc76c1958f05f64": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4ef6ad8a1cf34672a582e5f0cc65d360": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1219330a89fa4155bdc5f10c7d5c247e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "39d31dc4603344399b5e6740cbc6319f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "97e38df9d3374487bed199564447a45d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "429253435bd84ddbab16d52dac9e9977": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3da5ca56029d4dfd9bb6a4ab15ff2287", + "IPY_MODEL_ebc2109343fc484d842c96e0b3156de2", + "IPY_MODEL_d61238386dc849f79106644984b512f7" + ], + "layout": "IPY_MODEL_6fe60defb37e479ba187e96495d5f4b8" + } + }, + "3da5ca56029d4dfd9bb6a4ab15ff2287": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8f99e17837df4aa5a3503e5a765d0c52", + "placeholder": "​", + "style": "IPY_MODEL_9bffd9a5823b4129927572be73b38f14", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "ebc2109343fc484d842c96e0b3156de2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f1f03ac5d82c4177b10a94e31b34d05d", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e11281be7f0e43e0933a02c610c83ed4", + "value": 1 + } + }, + "d61238386dc849f79106644984b512f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2d5858c6690142d194b59e9be30efd73", + "placeholder": "​", + "style": "IPY_MODEL_32a4702d59fa48fe8ecd01e1bd64314c", + "value": " 1/1 [00:00<00:00, 27.06it/s]" + } + }, + "6fe60defb37e479ba187e96495d5f4b8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "8f99e17837df4aa5a3503e5a765d0c52": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9bffd9a5823b4129927572be73b38f14": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f1f03ac5d82c4177b10a94e31b34d05d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e11281be7f0e43e0933a02c610c83ed4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2d5858c6690142d194b59e9be30efd73": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "32a4702d59fa48fe8ecd01e1bd64314c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cedeaab76b0e4d368db9c9293a25df7c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_916dd8aeef834923bb3367ecbf4faceb", + "IPY_MODEL_361972c3b2ae42248b944bbdc1720e5a", + "IPY_MODEL_384b2190a889432386c21558a23534f8" + ], + "layout": "IPY_MODEL_921f9b6c1b8643e2b1a2ed92c345bcd8" + } + }, + "916dd8aeef834923bb3367ecbf4faceb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7a5ac8b6fcf147ddb86bc8db48a3bd10", + "placeholder": "​", + "style": "IPY_MODEL_d00cb3165bf74ed6b766d4e193a71622", + "value": "Epoch 199: 100%" + } + }, + "361972c3b2ae42248b944bbdc1720e5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1094ee31693c426d80cc560fb8edaf15", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_17c89760c31d47f6a71ee831de8bb766", + "value": 1 + } + }, + "384b2190a889432386c21558a23534f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_44a843381b7240f7887858916567e0fd", + "placeholder": "​", + "style": "IPY_MODEL_1bfec1197a714ac8819429d0681e2f99", + "value": " 1/1 [00:00<00:00,  4.40it/s, v_num=62, train_loss_step=13.90, train_loss_epoch=13.90, valid_loss=29.80]" + } + }, + "921f9b6c1b8643e2b1a2ed92c345bcd8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "7a5ac8b6fcf147ddb86bc8db48a3bd10": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d00cb3165bf74ed6b766d4e193a71622": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1094ee31693c426d80cc560fb8edaf15": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "17c89760c31d47f6a71ee831de8bb766": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "44a843381b7240f7887858916567e0fd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1bfec1197a714ac8819429d0681e2f99": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2c171c25ca274368993f070d0b0ff549": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_cc611f7efd2e43759d74477b4dc33fe5", + "IPY_MODEL_1dbf2f283d1949f1a29809d367fb13e6", + "IPY_MODEL_990a1358a25e4bd09854c5aef36c969f" + ], + "layout": "IPY_MODEL_5b8838ce33034c289b9fa9c11931a711" + } + }, + "cc611f7efd2e43759d74477b4dc33fe5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d686940c0f394c60997f62ad6c5e146d", + "placeholder": "​", + "style": "IPY_MODEL_c510dfda6d2b43368986fe62366eade8", + "value": "Validation DataLoader 0: 100%" + } + }, + "1dbf2f283d1949f1a29809d367fb13e6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bd08f8e62d294fa0903c1ce973302e2b", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_058e3977acc54295bf7dfc3c14f8d633", + "value": 1 + } + }, + "990a1358a25e4bd09854c5aef36c969f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_06eb2c50cc614b838a4d06ef79c5696f", + "placeholder": "​", + "style": "IPY_MODEL_72fc5907b86a4945814b51aa403ca67f", + "value": " 1/1 [00:00<00:00, 32.99it/s]" + } + }, + "5b8838ce33034c289b9fa9c11931a711": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "d686940c0f394c60997f62ad6c5e146d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c510dfda6d2b43368986fe62366eade8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bd08f8e62d294fa0903c1ce973302e2b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "058e3977acc54295bf7dfc3c14f8d633": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "06eb2c50cc614b838a4d06ef79c5696f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "72fc5907b86a4945814b51aa403ca67f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e18d90d4ca794ac087a90fb6d91462dc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_70b240bd93cd4d66bebfabfe493a35e1", + "IPY_MODEL_f8d0bd05781148c5b0613c763a361a64", + "IPY_MODEL_f689302095024d4ea0a60a2a94984124" + ], + "layout": "IPY_MODEL_8510ba028e3140b99725981d4ce78ee9" + } + }, + "70b240bd93cd4d66bebfabfe493a35e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5934fc9c31134c7aa3da4abc0e81020c", + "placeholder": "​", + "style": "IPY_MODEL_b55fc653edf34fd2b8ffef75c02b7140", + "value": "Validation DataLoader 0: 100%" + } + }, + "f8d0bd05781148c5b0613c763a361a64": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0436533e07134e45baaa79e7e2b4eb4a", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ec30de1228d8445aad79c3d11066d0a5", + "value": 1 + } + }, + "f689302095024d4ea0a60a2a94984124": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_94db6de219cb46fb9e4e5404648a7eac", + "placeholder": "​", + "style": "IPY_MODEL_2e240744a5f54f19b168bc228683b065", + "value": " 1/1 [00:00<00:00, 38.28it/s]" + } + }, + "8510ba028e3140b99725981d4ce78ee9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "5934fc9c31134c7aa3da4abc0e81020c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b55fc653edf34fd2b8ffef75c02b7140": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0436533e07134e45baaa79e7e2b4eb4a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ec30de1228d8445aad79c3d11066d0a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "94db6de219cb46fb9e4e5404648a7eac": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2e240744a5f54f19b168bc228683b065": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "15c4251996e7417aa0bad4c7c44ff5fb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1a43420c95c241cca93b6c50226e31d0", + "IPY_MODEL_4b0ef2fbe6ee4db38e223c9c1707a4f9", + "IPY_MODEL_5fe64f4642ce4fbe84505dd9d8e54661" + ], + "layout": "IPY_MODEL_7faaf21b1cb743eba79fc777099b43c3" + } + }, + "1a43420c95c241cca93b6c50226e31d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_174dfc915c6e41028672b295663376b1", + "placeholder": "​", + "style": "IPY_MODEL_6e3b40e43a3548c4a0430f1b5d254ea4", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "4b0ef2fbe6ee4db38e223c9c1707a4f9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_83bf9fd5f0694f52abc2a8f809eeda98", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_fad65a3800764429bdfe59aa2f491444", + "value": 1 + } + }, + "5fe64f4642ce4fbe84505dd9d8e54661": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_27e156b0d4dc40c3816db22cfbc7dfd4", + "placeholder": "​", + "style": "IPY_MODEL_5f19b1b6ebc649ab9267c1bb01a6f5f3", + "value": " 1/1 [00:00<00:00, 46.76it/s]" + } + }, + "7faaf21b1cb743eba79fc777099b43c3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "174dfc915c6e41028672b295663376b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6e3b40e43a3548c4a0430f1b5d254ea4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "83bf9fd5f0694f52abc2a8f809eeda98": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fad65a3800764429bdfe59aa2f491444": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "27e156b0d4dc40c3816db22cfbc7dfd4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5f19b1b6ebc649ab9267c1bb01a6f5f3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cfa4b785c2bb4e66b948d49e60bf1e3b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c79ec16b18054b12b78ebf986fb92cc0", + "IPY_MODEL_43c230dc9dbc4be786a271dde03852b8", + "IPY_MODEL_c75a9b134d9e43e0a747c083dc5cca65" + ], + "layout": "IPY_MODEL_68ae5d23c87d4930a8b1328dda9248ec" + } + }, + "c79ec16b18054b12b78ebf986fb92cc0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7152f019dc68488591ac9d7289df26ce", + "placeholder": "​", + "style": "IPY_MODEL_e55abebd0954460e8ea3d084039add29", + "value": "Epoch 199: 100%" + } + }, + "43c230dc9dbc4be786a271dde03852b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_730786dda67642cf9465430326d51145", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7ade20f8cb694465969579e9950bf408", + "value": 1 + } + }, + "c75a9b134d9e43e0a747c083dc5cca65": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bb493a2251b548b0b0e5da2043e75546", + "placeholder": "​", + "style": "IPY_MODEL_5b66b10b947349a384b9e6a666e7fca3", + "value": " 1/1 [00:00<00:00,  7.13it/s, v_num=63, train_loss_step=10.30, train_loss_epoch=10.30, valid_loss=16.80]" + } + }, + "68ae5d23c87d4930a8b1328dda9248ec": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "7152f019dc68488591ac9d7289df26ce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e55abebd0954460e8ea3d084039add29": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "730786dda67642cf9465430326d51145": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7ade20f8cb694465969579e9950bf408": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "bb493a2251b548b0b0e5da2043e75546": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5b66b10b947349a384b9e6a666e7fca3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "043281b97694464b8fcc71c45e040c56": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3779f3ca3ffb4abe8d1afb2a252325da", + "IPY_MODEL_95b873edbf0641b6bc2b2e9d05e8dfeb", + "IPY_MODEL_08b786c5a09d4392ae7d65103fb8aad5" + ], + "layout": "IPY_MODEL_fcd5d4548a224f568b59d83654b048d6" + } + }, + "3779f3ca3ffb4abe8d1afb2a252325da": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dde740946a8d497d9d11111405c0d4c2", + "placeholder": "​", + "style": "IPY_MODEL_df1e80b409db419da9a77ea58325596f", + "value": "Validation DataLoader 0: 100%" + } + }, + "95b873edbf0641b6bc2b2e9d05e8dfeb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ecadca81b38c4a808ed6fa0f69a28e68", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_6bdf41dd31ce415b95d9e5b00394e9a8", + "value": 1 + } + }, + "08b786c5a09d4392ae7d65103fb8aad5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5e5d65b4f03f405b9dd2509c3183d1ae", + "placeholder": "​", + "style": "IPY_MODEL_2e7aaf4589154f1ab7b11ae32036c806", + "value": " 1/1 [00:00<00:00, 72.90it/s]" + } + }, + "fcd5d4548a224f568b59d83654b048d6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "dde740946a8d497d9d11111405c0d4c2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "df1e80b409db419da9a77ea58325596f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ecadca81b38c4a808ed6fa0f69a28e68": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6bdf41dd31ce415b95d9e5b00394e9a8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "5e5d65b4f03f405b9dd2509c3183d1ae": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2e7aaf4589154f1ab7b11ae32036c806": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ecb3c64d2c5b4be099463e8d639f6c42": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8c746c9be20343218c2c389099ba81f8", + "IPY_MODEL_9fce7481487d449cab0cf81cccdd968d", + "IPY_MODEL_b9bb4ec569d24ff49bd96cf0e63acaf2" + ], + "layout": "IPY_MODEL_f3a923e2ee474874b21aa5e7d8dd0f71" + } + }, + "8c746c9be20343218c2c389099ba81f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d852a243411d4ea5bf0a2cb73b7002ae", + "placeholder": "​", + "style": "IPY_MODEL_9bf0439152ac4514973f42ece82bed6b", + "value": "Validation DataLoader 0: 100%" + } + }, + "9fce7481487d449cab0cf81cccdd968d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2e252f97f4774c0ba9d0698eddb1b78e", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_cefd6cc28160442a9af0362e5054bff1", + "value": 1 + } + }, + "b9bb4ec569d24ff49bd96cf0e63acaf2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2056f7250df04f8d96e514f94cc1cec0", + "placeholder": "​", + "style": "IPY_MODEL_8a288bb7c4b64ff59bd563f41c4ad4c9", + "value": " 1/1 [00:00<00:00, 56.17it/s]" + } + }, + "f3a923e2ee474874b21aa5e7d8dd0f71": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "d852a243411d4ea5bf0a2cb73b7002ae": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9bf0439152ac4514973f42ece82bed6b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2e252f97f4774c0ba9d0698eddb1b78e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "cefd6cc28160442a9af0362e5054bff1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "2056f7250df04f8d96e514f94cc1cec0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8a288bb7c4b64ff59bd563f41c4ad4c9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "65672200c0804a81b63a2deacf3cbd67": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_a001e1c543b14161903683174dab9d1f", + "IPY_MODEL_bd18a47a3b1448c6b232a4e58c3f2030", + "IPY_MODEL_7dcf7edda7e94dd9a3eb9dd0b559baa4" + ], + "layout": "IPY_MODEL_71031451fe3e435293b96ade84586a10" + } + }, + "a001e1c543b14161903683174dab9d1f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5dcb8f3f056a46e694a4235a18355afb", + "placeholder": "​", + "style": "IPY_MODEL_04433a97db6d41fb97ebfdb612e71099", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "bd18a47a3b1448c6b232a4e58c3f2030": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b50524031cb94066a191d89e3e7ae86a", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1d570132a60c4cc7b72b23d7ef95e6e1", + "value": 1 + } + }, + "7dcf7edda7e94dd9a3eb9dd0b559baa4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fd7b9cafd9874670b0d59076d302b070", + "placeholder": "​", + "style": "IPY_MODEL_e9d0fa0c78f6497091c0ceaf53e9925e", + "value": " 1/1 [00:00<00:00, 22.83it/s]" + } + }, + "71031451fe3e435293b96ade84586a10": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "5dcb8f3f056a46e694a4235a18355afb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "04433a97db6d41fb97ebfdb612e71099": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b50524031cb94066a191d89e3e7ae86a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1d570132a60c4cc7b72b23d7ef95e6e1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "fd7b9cafd9874670b0d59076d302b070": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e9d0fa0c78f6497091c0ceaf53e9925e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cc9c87c4d85045329bc09feb04b8887c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_fff6d8e21ff2436bbdaf47948be785aa", + "IPY_MODEL_55812469a3294a0986d742a50cf91358", + "IPY_MODEL_edcaf588e6a449928e6cbc3ddb627545" + ], + "layout": "IPY_MODEL_66182bf36ff74643a7ff47f21961d5d9" + } + }, + "fff6d8e21ff2436bbdaf47948be785aa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1be29607ce304cd2acdec361b796174e", + "placeholder": "​", + "style": "IPY_MODEL_bb283ba07a35436dac2b32a9b50ce6d0", + "value": "Epoch 199: 100%" + } + }, + "55812469a3294a0986d742a50cf91358": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fe05a5b9d6f544d39ef4fd14351e4609", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_74b5702bded94708b51b9ddc37e44e70", + "value": 1 + } + }, + "edcaf588e6a449928e6cbc3ddb627545": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1c84ff813389416d8026656fde8fb3d5", + "placeholder": "​", + "style": "IPY_MODEL_1eda74c3473d418483c9b1d1996bcba2", + "value": " 1/1 [00:00<00:00,  3.58it/s, v_num=64, train_loss_step=10.50, train_loss_epoch=10.50, valid_loss=17.10]" + } + }, + "66182bf36ff74643a7ff47f21961d5d9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "1be29607ce304cd2acdec361b796174e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bb283ba07a35436dac2b32a9b50ce6d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "fe05a5b9d6f544d39ef4fd14351e4609": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "74b5702bded94708b51b9ddc37e44e70": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "1c84ff813389416d8026656fde8fb3d5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1eda74c3473d418483c9b1d1996bcba2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "829a2277e9d246f2843b4fdbf9c58d83": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_b96227693eaa4a35b929cdcc42347bdd", + "IPY_MODEL_3f8aed485f404236aa7c9eb72ae5fc3c", + "IPY_MODEL_06c68424321346af95b5c7f2865e8120" + ], + "layout": "IPY_MODEL_a97794d02c864985a07a9df35deb9cf2" + } + }, + "b96227693eaa4a35b929cdcc42347bdd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5346ee2eb7b14517ad465977fa4fb660", + "placeholder": "​", + "style": "IPY_MODEL_c55d94aa8145460990f907a5a1fe199e", + "value": "Validation DataLoader 0: 100%" + } + }, + "3f8aed485f404236aa7c9eb72ae5fc3c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f211d8235ff44f0ca13eddaf38d26ff9", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_24a4189defd34c6f9580dfc2507fc3f3", + "value": 1 + } + }, + "06c68424321346af95b5c7f2865e8120": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b72c060d23c24c9bba03597e8bf471d4", + "placeholder": "​", + "style": "IPY_MODEL_275796a6cff443c79ddc1822ca8c5b36", + "value": " 1/1 [00:00<00:00, 34.82it/s]" + } + }, + "a97794d02c864985a07a9df35deb9cf2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "5346ee2eb7b14517ad465977fa4fb660": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c55d94aa8145460990f907a5a1fe199e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f211d8235ff44f0ca13eddaf38d26ff9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "24a4189defd34c6f9580dfc2507fc3f3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "b72c060d23c24c9bba03597e8bf471d4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "275796a6cff443c79ddc1822ca8c5b36": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b34ae19c5a044ddfb1653a6f83430103": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7b21df0c377b4ae895b69f96833303d6", + "IPY_MODEL_a403dfc5611d466c80167c4f3b07de28", + "IPY_MODEL_8a911213995045f5a9ff30227175c1b8" + ], + "layout": "IPY_MODEL_123fffb8ce3e4fb1bd43dbee9aa4416d" + } + }, + "7b21df0c377b4ae895b69f96833303d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_58f68eea9700436da379021fa750a431", + "placeholder": "​", + "style": "IPY_MODEL_87bc34f58488433daec3b10ef6961356", + "value": "Validation DataLoader 0: 100%" + } + }, + "a403dfc5611d466c80167c4f3b07de28": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_26ac61f7cc22450a9a5c6138d6b48461", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_58797ba70a89422fbd45ff31d8e27532", + "value": 1 + } + }, + "8a911213995045f5a9ff30227175c1b8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f6903d2413184410953c951622e669f4", + "placeholder": "​", + "style": "IPY_MODEL_b595c230e60446d293fbca334df56ff1", + "value": " 1/1 [00:00<00:00, 36.39it/s]" + } + }, + "123fffb8ce3e4fb1bd43dbee9aa4416d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "58f68eea9700436da379021fa750a431": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "87bc34f58488433daec3b10ef6961356": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "26ac61f7cc22450a9a5c6138d6b48461": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "58797ba70a89422fbd45ff31d8e27532": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f6903d2413184410953c951622e669f4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b595c230e60446d293fbca334df56ff1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "541db27e3cb74fdbb51c3f9c45e343f7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_001ce1cd3ccc450db90d675d055e5ed3", + "IPY_MODEL_e80fedb994624edb8d5fbccea1487c4d", + "IPY_MODEL_456c93c982414a54af2b2497bb923c29" + ], + "layout": "IPY_MODEL_87a2c90418d5430b809f05f7c06dd032" + } + }, + "001ce1cd3ccc450db90d675d055e5ed3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_65e7f3163e8b4dd2bbe3420d43b5557b", + "placeholder": "​", + "style": "IPY_MODEL_0af6033e93224079b4f78bc2c9388335", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "e80fedb994624edb8d5fbccea1487c4d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_92de18a4509248aa9b90f0d9951ba6a2", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9aeca761e29a437db4e4d6858d69a4a9", + "value": 1 + } + }, + "456c93c982414a54af2b2497bb923c29": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0605b48c9d2b499587bd8dec0f02839b", + "placeholder": "​", + "style": "IPY_MODEL_7441d3f59cb4418d9d21ba01289f8e5b", + "value": " 1/1 [00:00<00:00, 61.21it/s]" + } + }, + "87a2c90418d5430b809f05f7c06dd032": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "65e7f3163e8b4dd2bbe3420d43b5557b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0af6033e93224079b4f78bc2c9388335": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "92de18a4509248aa9b90f0d9951ba6a2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9aeca761e29a437db4e4d6858d69a4a9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "0605b48c9d2b499587bd8dec0f02839b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7441d3f59cb4418d9d21ba01289f8e5b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "49836762d5984350bd609eed5d98c7fd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1914bc203f49433994032327610bc509", + "IPY_MODEL_fe7e9e508d7a42ef8b8e4f345dfee903", + "IPY_MODEL_8949ec01ad0e4661be2dfcf34b711d49" + ], + "layout": "IPY_MODEL_1ddedf98c23c44bfa6cbd1b0b898543b" + } + }, + "1914bc203f49433994032327610bc509": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f898f1a7ca204ae2a45cc3f3abc9b95a", + "placeholder": "​", + "style": "IPY_MODEL_3c377c6224cd4fc8963f1bc50293f618", + "value": "Epoch 199: 100%" + } + }, + "fe7e9e508d7a42ef8b8e4f345dfee903": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d14c6f527e6248249af2596ee245bf07", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_26de7626550f46d5a2f0a408403f5ecd", + "value": 1 + } + }, + "8949ec01ad0e4661be2dfcf34b711d49": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1fb61123f9744ffeaae483c870bb7b8c", + "placeholder": "​", + "style": "IPY_MODEL_a0eec5dc918448f4a0616d0e20c5c2fc", + "value": " 1/1 [00:00<00:00, 13.84it/s, v_num=65, train_loss_step=10.80, train_loss_epoch=10.80, valid_loss=20.60]" + } + }, + "1ddedf98c23c44bfa6cbd1b0b898543b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "f898f1a7ca204ae2a45cc3f3abc9b95a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3c377c6224cd4fc8963f1bc50293f618": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d14c6f527e6248249af2596ee245bf07": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "26de7626550f46d5a2f0a408403f5ecd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "1fb61123f9744ffeaae483c870bb7b8c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a0eec5dc918448f4a0616d0e20c5c2fc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1bc04f29b8314995958d6cb984c40246": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_bef420da279b4ff59cb2919073637871", + "IPY_MODEL_eaf00964eb8847b8bd0f49f8636064d2", + "IPY_MODEL_0c29a600b15f4bacb1c13c5d2a03dc73" + ], + "layout": "IPY_MODEL_ec5a259133434e718120ebd4246e0ed0" + } + }, + "bef420da279b4ff59cb2919073637871": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_759d374b14b543ea9120a2b9c63dcbb4", + "placeholder": "​", + "style": "IPY_MODEL_a13155bda3914591989f4256a9c2742a", + "value": "Validation DataLoader 0: 100%" + } + }, + "eaf00964eb8847b8bd0f49f8636064d2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a658f50de61a49fa8ece10ea5cee9e68", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7bc83a2b0c87409997d9e0a6310c6895", + "value": 1 + } + }, + "0c29a600b15f4bacb1c13c5d2a03dc73": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3d6e024c339b47faa5a56a76f465e37a", + "placeholder": "​", + "style": "IPY_MODEL_d4a0887d95da4ff6b7e9d357c7367a21", + "value": " 1/1 [00:00<00:00, 111.66it/s]" + } + }, + "ec5a259133434e718120ebd4246e0ed0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "759d374b14b543ea9120a2b9c63dcbb4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a13155bda3914591989f4256a9c2742a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a658f50de61a49fa8ece10ea5cee9e68": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7bc83a2b0c87409997d9e0a6310c6895": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "3d6e024c339b47faa5a56a76f465e37a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d4a0887d95da4ff6b7e9d357c7367a21": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "be8b6208d37349258ac6afacfed67c36": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_94f7b7be77754def8b521b05ecb6c93d", + "IPY_MODEL_d8d64a4134e54b0bb195f06bf942186c", + "IPY_MODEL_8c41b5a59fd7400aac494aafe0cf262f" + ], + "layout": "IPY_MODEL_07e586d8b148477698f1287f7bd431d3" + } + }, + "94f7b7be77754def8b521b05ecb6c93d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dafbe1a2c07444609cc42f98a3ef71e7", + "placeholder": "​", + "style": "IPY_MODEL_1e7e3ac5a4ef45489864195aceefd03d", + "value": "Validation DataLoader 0: 100%" + } + }, + "d8d64a4134e54b0bb195f06bf942186c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b259cb7b78d24f6f91bf103bfc768341", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0045daa4265f4f75bf7b31b9e8554a57", + "value": 1 + } + }, + "8c41b5a59fd7400aac494aafe0cf262f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_efacdb32516e4e0a906d40f843c9af70", + "placeholder": "​", + "style": "IPY_MODEL_924d4c78f5e148e4925eb9e3549b050a", + "value": " 1/1 [00:00<00:00, 92.58it/s]" + } + }, + "07e586d8b148477698f1287f7bd431d3": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "dafbe1a2c07444609cc42f98a3ef71e7": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1e7e3ac5a4ef45489864195aceefd03d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b259cb7b78d24f6f91bf103bfc768341": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0045daa4265f4f75bf7b31b9e8554a57": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "efacdb32516e4e0a906d40f843c9af70": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "924d4c78f5e148e4925eb9e3549b050a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2596ec9ab8f9457fb5b48a2b5d86c508": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_774ad8f8c83c46cea667244ae7bc0079", + "IPY_MODEL_df8a18ad47e94020b91839db15ccb3d6", + "IPY_MODEL_cda6e0e1e76d473b9bb75611aee7a2bb" + ], + "layout": "IPY_MODEL_f4b3d74623fd41e2b9a5afe50c4416b1" + } + }, + "774ad8f8c83c46cea667244ae7bc0079": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1a8bd4dafdc447d9ae92e1da99995c23", + "placeholder": "​", + "style": "IPY_MODEL_e52f68babd5d47c5a4de59bfbaefc9eb", + "value": "Predicting DataLoader 0: 100%" + } + }, + "df8a18ad47e94020b91839db15ccb3d6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e2b05a45b46b4c058a6fadce2c49516e", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9f312623b8174dee989a2d27f7da4b4c", + "value": 1 + } + }, + "cda6e0e1e76d473b9bb75611aee7a2bb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3916c64e695f43f185bbb6d81aa75481", + "placeholder": "​", + "style": "IPY_MODEL_9567cf6ca8804aa7af553d3402df5927", + "value": " 1/1 [00:00<00:00, 82.34it/s]" + } + }, + "f4b3d74623fd41e2b9a5afe50c4416b1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "1a8bd4dafdc447d9ae92e1da99995c23": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e52f68babd5d47c5a4de59bfbaefc9eb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e2b05a45b46b4c058a6fadce2c49516e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9f312623b8174dee989a2d27f7da4b4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "3916c64e695f43f185bbb6d81aa75481": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9567cf6ca8804aa7af553d3402df5927": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e23c3ffccfbe46a08652d1a835a85c74": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_e58636ba0903414db82993e44028b52c", + "IPY_MODEL_c4c8859ec17247738c35b618b48db3c2", + "IPY_MODEL_7468fc037a7f495789b4ae03ecbb2cb9" + ], + "layout": "IPY_MODEL_afec67309adf40b0801b6c4874ee19be" + } + }, + "e58636ba0903414db82993e44028b52c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_19f8efba68ca4547a8117783597319c5", + "placeholder": "​", + "style": "IPY_MODEL_01c49d2887da49b1895467c0beca3b6e", + "value": "Predicting DataLoader 0: 100%" + } + }, + "c4c8859ec17247738c35b618b48db3c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_cee3cdd06dd64efca90a308fc46529f4", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_689f2169c88741a58e5267d73604b7ca", + "value": 1 + } + }, + "7468fc037a7f495789b4ae03ecbb2cb9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b656b74af3574c1b8eda33142f5f81ff", + "placeholder": "​", + "style": "IPY_MODEL_afded925d08945f2ba7cbb690cb94cb4", + "value": " 1/1 [00:00<00:00, 26.72it/s]" + } + }, + "afec67309adf40b0801b6c4874ee19be": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "19f8efba68ca4547a8117783597319c5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "01c49d2887da49b1895467c0beca3b6e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "cee3cdd06dd64efca90a308fc46529f4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "689f2169c88741a58e5267d73604b7ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "b656b74af3574c1b8eda33142f5f81ff": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "afded925d08945f2ba7cbb690cb94cb4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "5a61b4218ad6408abb5e3a7c22894a03": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d9c1af870e4341f48dd1734133254521", + "IPY_MODEL_679aaad384364976bcf27cae457b9ea5", + "IPY_MODEL_6570f3fa6c804ac0a3a9aab96ff6584a" + ], + "layout": "IPY_MODEL_3c933919dcd24362ae85920f635483da" + } + }, + "d9c1af870e4341f48dd1734133254521": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9360139856524e01b35c0e5fe0d0d987", + "placeholder": "​", + "style": "IPY_MODEL_98967dcf22e14cd0869b8a72513b48d4", + "value": "Predicting DataLoader 0: 100%" + } + }, + "679aaad384364976bcf27cae457b9ea5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_bba7556b063743d5bb28b277e258fcc8", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_6483dbbe886d47b79b92db85dddbe8a5", + "value": 1 + } + }, + "6570f3fa6c804ac0a3a9aab96ff6584a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c59259012b23450ea1775524e1980be6", + "placeholder": "​", + "style": "IPY_MODEL_20dbe88670c949d2b2d669a515fe33a0", + "value": " 1/1 [00:00<00:00, 48.16it/s]" + } + }, + "3c933919dcd24362ae85920f635483da": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "9360139856524e01b35c0e5fe0d0d987": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "98967dcf22e14cd0869b8a72513b48d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bba7556b063743d5bb28b277e258fcc8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6483dbbe886d47b79b92db85dddbe8a5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "c59259012b23450ea1775524e1980be6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "20dbe88670c949d2b2d669a515fe33a0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "28e51da7dac04b398da83d83b6144cfc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8f17acbd800c4c048267bda6686a6f00", + "IPY_MODEL_083fefab97ee4c52bfa20688c9ad01e2", + "IPY_MODEL_b801086cff014ec6aa93f6f921ae994d" + ], + "layout": "IPY_MODEL_de177839d6214d2caba70eb682ee11f8" + } + }, + "8f17acbd800c4c048267bda6686a6f00": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4b23e1912d5f4cc493b31febe8fc59e9", + "placeholder": "​", + "style": "IPY_MODEL_d8c22e370d87407082185586df186822", + "value": "Predicting DataLoader 0: 100%" + } + }, + "083fefab97ee4c52bfa20688c9ad01e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e1114ab3f6fd425f8bcf44505dd1ed64", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_c71f8525cce7450da4f7cb8b1f0dc66a", + "value": 1 + } + }, + "b801086cff014ec6aa93f6f921ae994d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_105ddc8ee2024857b682615a4367af75", + "placeholder": "​", + "style": "IPY_MODEL_34ccebc1bb75464ea409741f59bfac75", + "value": " 1/1 [00:00<00:00, 27.71it/s]" + } + }, + "de177839d6214d2caba70eb682ee11f8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "4b23e1912d5f4cc493b31febe8fc59e9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d8c22e370d87407082185586df186822": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e1114ab3f6fd425f8bcf44505dd1ed64": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c71f8525cce7450da4f7cb8b1f0dc66a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "105ddc8ee2024857b682615a4367af75": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "34ccebc1bb75464ea409741f59bfac75": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e8c01bce85a1439195d702a42fdad19e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_deb51ac2366042478cda97f49fd1cc5f", + "IPY_MODEL_4092c47e418a40c7a06b2b56caf00927", + "IPY_MODEL_3693a11da7094b9eba9d88ec365ac3d4" + ], + "layout": "IPY_MODEL_7f236f38761746ef8eef0ec9d0e051e1" + } + }, + "deb51ac2366042478cda97f49fd1cc5f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a006b222d29f4aad8865cc9ab99a6bcf", + "placeholder": "​", + "style": "IPY_MODEL_7b3b2db90b1f45368bce707bed7e090f", + "value": "Predicting DataLoader 0: 100%" + } + }, + "4092c47e418a40c7a06b2b56caf00927": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_86f6d6b7a333472ea4220e354f6c92aa", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_5c72513caaa94f06b830bc12aee09b5a", + "value": 1 + } + }, + "3693a11da7094b9eba9d88ec365ac3d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fa0339773b354d38a0784ec446fc3c46", + "placeholder": "​", + "style": "IPY_MODEL_4315eb58bd154e5ba4fd22ff89155da9", + "value": " 1/1 [00:00<00:00, 62.91it/s]" + } + }, + "7f236f38761746ef8eef0ec9d0e051e1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "a006b222d29f4aad8865cc9ab99a6bcf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7b3b2db90b1f45368bce707bed7e090f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "86f6d6b7a333472ea4220e354f6c92aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5c72513caaa94f06b830bc12aee09b5a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "fa0339773b354d38a0784ec446fc3c46": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4315eb58bd154e5ba4fd22ff89155da9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4c41638b645346fdb2b45afcf3759a4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7937f69915cb4b018d37748163b81481", + "IPY_MODEL_9d7377b379fa40c488822f731bff6e3f", + "IPY_MODEL_8acd6793a8054e9cb6af76b4c48a758a" + ], + "layout": "IPY_MODEL_655f4b588fcd47e9932aba5186865d7c" + } + }, + "7937f69915cb4b018d37748163b81481": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6eea9280924e49fcb54c4a8b1a10b938", + "placeholder": "​", + "style": "IPY_MODEL_c6e06a5990e6456594cdf3827320dde7", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "9d7377b379fa40c488822f731bff6e3f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_15debd971ded46ae97f288e497343c6e", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9082ce1313f34f05bf4c454b3ec2bcfb", + "value": 1 + } + }, + "8acd6793a8054e9cb6af76b4c48a758a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a8b10bd2234c4a4a8abf5cbe71987550", + "placeholder": "​", + "style": "IPY_MODEL_be7602360e5649a1829af4e43a30cba7", + "value": " 1/1 [00:00<00:00, 87.58it/s]" + } + }, + "655f4b588fcd47e9932aba5186865d7c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "6eea9280924e49fcb54c4a8b1a10b938": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c6e06a5990e6456594cdf3827320dde7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "15debd971ded46ae97f288e497343c6e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9082ce1313f34f05bf4c454b3ec2bcfb": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a8b10bd2234c4a4a8abf5cbe71987550": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "be7602360e5649a1829af4e43a30cba7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0200a573d8324c34988dc0f8912fd831": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_59b9a4da7ef34d69b687bbae8f934c00", + "IPY_MODEL_58f528e577e5474b93e5192b02e4a9bd", + "IPY_MODEL_fda9fb022ba44bf3b2da5313a562662c" + ], + "layout": "IPY_MODEL_b35c2a2307fc496fbba311b547d38fbf" + } + }, + "59b9a4da7ef34d69b687bbae8f934c00": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4e74038abed1442f991a6d40b00aaddd", + "placeholder": "​", + "style": "IPY_MODEL_ede494effbcf41faabd074e016109a2e", + "value": "Epoch 199: 100%" + } + }, + "58f528e577e5474b93e5192b02e4a9bd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f02b1d8822214a81950e6e139f8c2f93", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_963bdf1f63924905af7fba8e2266175d", + "value": 1 + } + }, + "fda9fb022ba44bf3b2da5313a562662c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4a9874db0e7447f98988f88824dc84be", + "placeholder": "​", + "style": "IPY_MODEL_29246ec35c9547a19d9f01b04ebbd17d", + "value": " 1/1 [00:00<00:00,  7.90it/s, v_num=71, train_loss_step=9.330, train_loss_epoch=9.330, valid_loss=7.620]" + } + }, + "b35c2a2307fc496fbba311b547d38fbf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "4e74038abed1442f991a6d40b00aaddd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ede494effbcf41faabd074e016109a2e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f02b1d8822214a81950e6e139f8c2f93": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "963bdf1f63924905af7fba8e2266175d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "4a9874db0e7447f98988f88824dc84be": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "29246ec35c9547a19d9f01b04ebbd17d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6c4d0f8b65ae44188ab62f4e2df579bc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f36ebd83b86148099f02c6c0467c8bd1", + "IPY_MODEL_7763b03b74d24a769a4fc8a4babb7f77", + "IPY_MODEL_9a0122d212a241bbb122109cd8bb74a6" + ], + "layout": "IPY_MODEL_ba78f8833708414e821ffb02f22364a5" + } + }, + "f36ebd83b86148099f02c6c0467c8bd1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9d621b70812d4a7a82669b069ea85c0a", + "placeholder": "​", + "style": "IPY_MODEL_91c94fcdb3fa4708ae774595ca7297db", + "value": "Validation DataLoader 0: 100%" + } + }, + "7763b03b74d24a769a4fc8a4babb7f77": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_59754fd25ad64f97a325d90894b1951b", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_bd50ffd097ab4e44a06e1664862248cc", + "value": 1 + } + }, + "9a0122d212a241bbb122109cd8bb74a6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_aecaf298bbe946cf8190882a9e1e9931", + "placeholder": "​", + "style": "IPY_MODEL_f30c03628441438981b6f9050749df94", + "value": " 1/1 [00:00<00:00, 86.79it/s]" + } + }, + "ba78f8833708414e821ffb02f22364a5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "9d621b70812d4a7a82669b069ea85c0a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "91c94fcdb3fa4708ae774595ca7297db": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "59754fd25ad64f97a325d90894b1951b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "bd50ffd097ab4e44a06e1664862248cc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "aecaf298bbe946cf8190882a9e1e9931": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f30c03628441438981b6f9050749df94": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "14ceeb988280490884ab0fa0e2b33567": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_7b9ae0b605cb4f6090a604bb362e590d", + "IPY_MODEL_d8d52fe79824419791d6b4e786d80ee7", + "IPY_MODEL_60d6fb32acf7420e98f7c09916c65f36" + ], + "layout": "IPY_MODEL_834f3d378dd048ba979db80d964a9c3a" + } + }, + "7b9ae0b605cb4f6090a604bb362e590d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5e053e86d3f44028921ea29c46274967", + "placeholder": "​", + "style": "IPY_MODEL_00dad74bc8454f6f9402599553859b28", + "value": "Validation DataLoader 0: 100%" + } + }, + "d8d52fe79824419791d6b4e786d80ee7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6b8a9c3e595a4547bfc864af377d65dc", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_38ef486055bb4c13890e8e90a013407e", + "value": 1 + } + }, + "60d6fb32acf7420e98f7c09916c65f36": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5eaafacb31fa4fc08900c37f93c10c44", + "placeholder": "​", + "style": "IPY_MODEL_63a2939e972d49d9a270fca26b0aea40", + "value": " 1/1 [00:00<00:00, 68.99it/s]" + } + }, + "834f3d378dd048ba979db80d964a9c3a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "5e053e86d3f44028921ea29c46274967": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "00dad74bc8454f6f9402599553859b28": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6b8a9c3e595a4547bfc864af377d65dc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "38ef486055bb4c13890e8e90a013407e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "5eaafacb31fa4fc08900c37f93c10c44": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "63a2939e972d49d9a270fca26b0aea40": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c4f2c9ab9a1b471db034f725f5c29171": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1d2d82a1aaf74b229f10cdc0681e691f", + "IPY_MODEL_e2ef4b9a142f472ba34b25241ec87a50", + "IPY_MODEL_dbe29c7f594346adb9e4ef04ca558641" + ], + "layout": "IPY_MODEL_afb2b86261bc474db4854371bb3b40ee" + } + }, + "1d2d82a1aaf74b229f10cdc0681e691f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9672ebe8a050447ba86572ab8f93461e", + "placeholder": "​", + "style": "IPY_MODEL_27ec6af7d5d348ca9a0f0fc534b0d298", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "e2ef4b9a142f472ba34b25241ec87a50": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_09e956f464924d1aa6cb89502cb71646", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_509a22aedeb049628dbb906a31debf2b", + "value": 1 + } + }, + "dbe29c7f594346adb9e4ef04ca558641": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_97e42285e2924a92abb803fde57224cb", + "placeholder": "​", + "style": "IPY_MODEL_6fad306a10f74d689add259c696160ca", + "value": " 1/1 [00:00<00:00, 23.29it/s]" + } + }, + "afb2b86261bc474db4854371bb3b40ee": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "9672ebe8a050447ba86572ab8f93461e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "27ec6af7d5d348ca9a0f0fc534b0d298": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "09e956f464924d1aa6cb89502cb71646": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "509a22aedeb049628dbb906a31debf2b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "97e42285e2924a92abb803fde57224cb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6fad306a10f74d689add259c696160ca": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0db5bfdf078d4f3187d689b3ba8a1366": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_ef04f86539c24d3eb3daadfcde982ed5", + "IPY_MODEL_5c9c07081d9a4bda9b6519751fd85264", + "IPY_MODEL_d2568ec99c734c19a4d6dc233ea9ca10" + ], + "layout": "IPY_MODEL_f22b465f63044404afe1e4a6cf828f36" + } + }, + "ef04f86539c24d3eb3daadfcde982ed5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_46dbf22dc945475b8fdc7452b157860c", + "placeholder": "​", + "style": "IPY_MODEL_990f462034fc45f8a482cecfd8eb6df9", + "value": "Epoch 199: 100%" + } + }, + "5c9c07081d9a4bda9b6519751fd85264": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_81cd721d3d2d4c5f8071b0b9913b5285", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b80892f0f3d54a7581378546ac859a17", + "value": 1 + } + }, + "d2568ec99c734c19a4d6dc233ea9ca10": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a7367de4f1d14b858f01afea34b009f5", + "placeholder": "​", + "style": "IPY_MODEL_88221add6543440ca834e18949816be0", + "value": " 1/1 [00:00<00:00,  4.41it/s, v_num=72, train_loss_step=12.70, train_loss_epoch=12.70, valid_loss=18.80]" + } + }, + "f22b465f63044404afe1e4a6cf828f36": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "46dbf22dc945475b8fdc7452b157860c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "990f462034fc45f8a482cecfd8eb6df9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "81cd721d3d2d4c5f8071b0b9913b5285": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b80892f0f3d54a7581378546ac859a17": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "a7367de4f1d14b858f01afea34b009f5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "88221add6543440ca834e18949816be0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "aba5478934ec4b32b3e7f1ebeeef9b06": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_562da7e0f3094e019b8b833cf49fead4", + "IPY_MODEL_22152e80e58149558ca25704484372cf", + "IPY_MODEL_700d3c1988ef4ccda17228cd75237da1" + ], + "layout": "IPY_MODEL_0830fdad421549f0aa268facc68e09f6" + } + }, + "562da7e0f3094e019b8b833cf49fead4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7fdb861ab4fd44068b9ba8100ac801ce", + "placeholder": "​", + "style": "IPY_MODEL_f70fefad2855443ca332f095c9603356", + "value": "Validation DataLoader 0: 100%" + } + }, + "22152e80e58149558ca25704484372cf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9ea7d2b132ca42a396bec4b66407e5bd", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_fff05567b0c54990ae9ce7283851b017", + "value": 1 + } + }, + "700d3c1988ef4ccda17228cd75237da1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d7de7e08e8df4dbda8bb1a1a150c2e79", + "placeholder": "​", + "style": "IPY_MODEL_5134a889893943469b9589fcc41ef4c3", + "value": " 1/1 [00:00<00:00, 32.80it/s]" + } + }, + "0830fdad421549f0aa268facc68e09f6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7fdb861ab4fd44068b9ba8100ac801ce": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f70fefad2855443ca332f095c9603356": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9ea7d2b132ca42a396bec4b66407e5bd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "fff05567b0c54990ae9ce7283851b017": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "d7de7e08e8df4dbda8bb1a1a150c2e79": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5134a889893943469b9589fcc41ef4c3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "bc1cc7a224ea45d88618870f6dc5e3bf": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_1c59270ebca045d08a0df092a59f33ef", + "IPY_MODEL_c66a621eff1e4509b1042a2e9ff04425", + "IPY_MODEL_cca7322b64914e3bbd00c3e87319fffe" + ], + "layout": "IPY_MODEL_e334534d256140f5bdfe428500cfc57d" + } + }, + "1c59270ebca045d08a0df092a59f33ef": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7e2795ebfe524c3481f0649f4d2726b5", + "placeholder": "​", + "style": "IPY_MODEL_ad38204dec624a4f811cd3f158d0fcbc", + "value": "Validation DataLoader 0: 100%" + } + }, + "c66a621eff1e4509b1042a2e9ff04425": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6d284070dd414089a548f7c73bb0d4fd", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_057b2eb6cf3d4d85a51645ff0cca3bee", + "value": 1 + } + }, + "cca7322b64914e3bbd00c3e87319fffe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_326865a203b64330a1443ebabbeafc6a", + "placeholder": "​", + "style": "IPY_MODEL_c31cd00a4d9c443a9b5daec199a14a3a", + "value": " 1/1 [00:00<00:00, 25.91it/s]" + } + }, + "e334534d256140f5bdfe428500cfc57d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "7e2795ebfe524c3481f0649f4d2726b5": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ad38204dec624a4f811cd3f158d0fcbc": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6d284070dd414089a548f7c73bb0d4fd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "057b2eb6cf3d4d85a51645ff0cca3bee": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "326865a203b64330a1443ebabbeafc6a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c31cd00a4d9c443a9b5daec199a14a3a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "14337a9969a249efa635024e01913e4c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_e7bc25b1e77041a4acb2cecc5d4a6a90", + "IPY_MODEL_faf3e5e868c94aefb2100675b7554271", + "IPY_MODEL_59248eb3039b49be82abc2a7f4c18f8b" + ], + "layout": "IPY_MODEL_b887a0be77b44c85880807279b50339f" + } + }, + "e7bc25b1e77041a4acb2cecc5d4a6a90": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d922f9191e6342828a54fb457e0864c0", + "placeholder": "​", + "style": "IPY_MODEL_56e938af175f44f1b6749db70c04dd1f", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "faf3e5e868c94aefb2100675b7554271": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_40c7dbd61e9842e2835d0d6428773e93", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_ced557116f24474892dbd9dd1d055139", + "value": 1 + } + }, + "59248eb3039b49be82abc2a7f4c18f8b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_841ca266d3384c8eba171ca103d8551f", + "placeholder": "​", + "style": "IPY_MODEL_43ace550f5f54bb6b5e76172a030b8d4", + "value": " 1/1 [00:00<00:00, 65.16it/s]" + } + }, + "b887a0be77b44c85880807279b50339f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "d922f9191e6342828a54fb457e0864c0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "56e938af175f44f1b6749db70c04dd1f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "40c7dbd61e9842e2835d0d6428773e93": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ced557116f24474892dbd9dd1d055139": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "841ca266d3384c8eba171ca103d8551f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "43ace550f5f54bb6b5e76172a030b8d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "43786227839a4e9b9547299c5e340eb3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_95d33bcc4b0048d5b94c60062eb3b99b", + "IPY_MODEL_be737445737646d49137fe7c240530b6", + "IPY_MODEL_3b67e765ef904da5aab5f6339c475b46" + ], + "layout": "IPY_MODEL_7b160d8a22864f1d85ec0d73407300f9" + } + }, + "95d33bcc4b0048d5b94c60062eb3b99b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_254ec021987b490b8b95b014feb70633", + "placeholder": "​", + "style": "IPY_MODEL_67ed8e82a31c4f92a5cfd785d35f24e4", + "value": "Epoch 199: 100%" + } + }, + "be737445737646d49137fe7c240530b6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d633d1866e994b2eabed1669aefb912f", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_9d9e21cbdf7e46eebce7f72dc3106413", + "value": 1 + } + }, + "3b67e765ef904da5aab5f6339c475b46": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_02744199d01446348749c877e2358f2f", + "placeholder": "​", + "style": "IPY_MODEL_488f7ae2ead54c0dba89a5ca6c812522", + "value": " 1/1 [00:00<00:00, 11.38it/s, v_num=73, train_loss_step=9.400, train_loss_epoch=9.400, valid_loss=7.710]" + } + }, + "7b160d8a22864f1d85ec0d73407300f9": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "254ec021987b490b8b95b014feb70633": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "67ed8e82a31c4f92a5cfd785d35f24e4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d633d1866e994b2eabed1669aefb912f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9d9e21cbdf7e46eebce7f72dc3106413": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "02744199d01446348749c877e2358f2f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "488f7ae2ead54c0dba89a5ca6c812522": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "e81ed1045c5c46b39105a81973221216": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_66e178249db244679c1cf20d6761501f", + "IPY_MODEL_52a5c8b9e3db40a68e49220f08ac1f3b", + "IPY_MODEL_31c8a06ba9ca4772b0c79ac8554d8328" + ], + "layout": "IPY_MODEL_021893b18a8343a8adfd0d38d8304165" + } + }, + "66e178249db244679c1cf20d6761501f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_828bded5bbc44f1db140450ff4e05e4b", + "placeholder": "​", + "style": "IPY_MODEL_3851b110265f40df8dca72380bd604d4", + "value": "Validation DataLoader 0: 100%" + } + }, + "52a5c8b9e3db40a68e49220f08ac1f3b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_01715266e13a40429ddcb9f35705e431", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_7834b318229e4f718c9f43c0cc02e742", + "value": 1 + } + }, + "31c8a06ba9ca4772b0c79ac8554d8328": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f1d1bda9bb2f482ab5583a8bdfe52a5b", + "placeholder": "​", + "style": "IPY_MODEL_f662c2197abb4a898b578ab1f3df99b5", + "value": " 1/1 [00:00<00:00, 77.78it/s]" + } + }, + "021893b18a8343a8adfd0d38d8304165": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "828bded5bbc44f1db140450ff4e05e4b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3851b110265f40df8dca72380bd604d4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "01715266e13a40429ddcb9f35705e431": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7834b318229e4f718c9f43c0cc02e742": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f1d1bda9bb2f482ab5583a8bdfe52a5b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f662c2197abb4a898b578ab1f3df99b5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4452b3a6cde0435caf639ebe22db7545": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_3542edf9515c45e692789bf638b51954", + "IPY_MODEL_eef40ffc99bc4020a1ebfa820485cae0", + "IPY_MODEL_110bdd2b18074c47a29ffce68b435836" + ], + "layout": "IPY_MODEL_403550f6cfcf46a9bef31a4a8dfc9a3e" + } + }, + "3542edf9515c45e692789bf638b51954": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1b40a60dff894610b87056992b732864", + "placeholder": "​", + "style": "IPY_MODEL_9acbe16c31c3484984788c701a17178e", + "value": "Validation DataLoader 0: 100%" + } + }, + "eef40ffc99bc4020a1ebfa820485cae0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f324b124c08d45f9a3113737ba37f3aa", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_3dc9eca75b9948af8480e4a665cca054", + "value": 1 + } + }, + "110bdd2b18074c47a29ffce68b435836": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_88c16758a070485c9b433a68a49ab492", + "placeholder": "​", + "style": "IPY_MODEL_0ee070d6887e4c8d97e2dd7a08545e48", + "value": " 1/1 [00:00<00:00, 70.13it/s]" + } + }, + "403550f6cfcf46a9bef31a4a8dfc9a3e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "1b40a60dff894610b87056992b732864": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9acbe16c31c3484984788c701a17178e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "f324b124c08d45f9a3113737ba37f3aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3dc9eca75b9948af8480e4a665cca054": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "88c16758a070485c9b433a68a49ab492": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0ee070d6887e4c8d97e2dd7a08545e48": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a424a227476f47b7b040d0d4f85749c2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5760e4170ac741bb998ad06d8633ac60", + "IPY_MODEL_ff56ec4058694730b1308b3c00009f0e", + "IPY_MODEL_9cc79049859e40f8989978662cacbe81" + ], + "layout": "IPY_MODEL_fd1632bf29d141a481d7ec44edafe4fb" + } + }, + "5760e4170ac741bb998ad06d8633ac60": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6bf23c49f6b24bdd8583f0b500283a3f", + "placeholder": "​", + "style": "IPY_MODEL_4df795d99956432c83ca834c1d7e630a", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "ff56ec4058694730b1308b3c00009f0e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c2d6e80c0b1f4cad8949fdbf66390145", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f911f90932804228ae18fd6a405078d2", + "value": 1 + } + }, + "9cc79049859e40f8989978662cacbe81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e7701c9cb8dd4679ad6c0fc7a50d0553", + "placeholder": "​", + "style": "IPY_MODEL_1fe5ee6216e64bcf84f94771ed7da489", + "value": " 1/1 [00:00<00:00, 28.07it/s]" + } + }, + "fd1632bf29d141a481d7ec44edafe4fb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "6bf23c49f6b24bdd8583f0b500283a3f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4df795d99956432c83ca834c1d7e630a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c2d6e80c0b1f4cad8949fdbf66390145": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f911f90932804228ae18fd6a405078d2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e7701c9cb8dd4679ad6c0fc7a50d0553": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1fe5ee6216e64bcf84f94771ed7da489": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8362b65e597947d29dff0215d38e4c89": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_5caaf1e6156e4194a2b92a9f1ab8a15d", + "IPY_MODEL_7a0fe06b362e46b5b50a895bf6446f8d", + "IPY_MODEL_77250f15fd904431ae13a0927f83a5e2" + ], + "layout": "IPY_MODEL_ae45be2d0d15497580e304d1c743e94f" + } + }, + "5caaf1e6156e4194a2b92a9f1ab8a15d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fe58cbf4c33d46d9b0d38ca9ce67333b", + "placeholder": "​", + "style": "IPY_MODEL_09ff9ec6322d475d90d52821b8b95640", + "value": "Epoch 199: 100%" + } + }, + "7a0fe06b362e46b5b50a895bf6446f8d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fde6a202104d42a69aaf67d5e849b543", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_49ed9ef3d2aa4ec1891b743a926c322c", + "value": 1 + } + }, + "77250f15fd904431ae13a0927f83a5e2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9ae15b89e8264fe3a8c51e9b73a1d6b2", + "placeholder": "​", + "style": "IPY_MODEL_ee04e93be0574ad2bcd730f3a00281c4", + "value": " 1/1 [00:00<00:00,  3.43it/s, v_num=74, train_loss_step=9.790, train_loss_epoch=9.790, valid_loss=8.730]" + } + }, + "ae45be2d0d15497580e304d1c743e94f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "fe58cbf4c33d46d9b0d38ca9ce67333b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "09ff9ec6322d475d90d52821b8b95640": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "fde6a202104d42a69aaf67d5e849b543": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "49ed9ef3d2aa4ec1891b743a926c322c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9ae15b89e8264fe3a8c51e9b73a1d6b2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ee04e93be0574ad2bcd730f3a00281c4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b34b413882aa40dd9702e3a058f2eb59": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_cddf9205ff5a474492d9f638c8b6f190", + "IPY_MODEL_018d170cf9a948449b151ddeb4afa4f6", + "IPY_MODEL_c15c75998b2f4703b32a4237a5ae55d3" + ], + "layout": "IPY_MODEL_dbcbf29bb8fc4410a9e6772c7889f6fd" + } + }, + "cddf9205ff5a474492d9f638c8b6f190": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_956e5c1f5c2946f8a295bcd30173f5bd", + "placeholder": "​", + "style": "IPY_MODEL_3f1dbd85cbce4aea93c695f9db049a95", + "value": "Validation DataLoader 0: 100%" + } + }, + "018d170cf9a948449b151ddeb4afa4f6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7d6099c1bc98475e8b7b1b64c222e870", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_b77a7534c2d54d39853b83969e7d26f5", + "value": 1 + } + }, + "c15c75998b2f4703b32a4237a5ae55d3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f8b0f1f945cc4e79a1a86a3212ed6565", + "placeholder": "​", + "style": "IPY_MODEL_33a6a0b64fe043fe9a966de3c1c34237", + "value": " 1/1 [00:00<00:00, 30.67it/s]" + } + }, + "dbcbf29bb8fc4410a9e6772c7889f6fd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "956e5c1f5c2946f8a295bcd30173f5bd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3f1dbd85cbce4aea93c695f9db049a95": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7d6099c1bc98475e8b7b1b64c222e870": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b77a7534c2d54d39853b83969e7d26f5": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "f8b0f1f945cc4e79a1a86a3212ed6565": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "33a6a0b64fe043fe9a966de3c1c34237": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ecdb82542d22475d94a9890e94587f60": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_978ed72f9dd54a14b885f826357d9f89", + "IPY_MODEL_b75d1bc8220848018174445a66a892b4", + "IPY_MODEL_7c19c7f99d3b42bb88e321bad84597b1" + ], + "layout": "IPY_MODEL_4f05086820e5449d9eba0042a149db37" + } + }, + "978ed72f9dd54a14b885f826357d9f89": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_84cc1fd6d8a14b278fad6b1be2e8db88", + "placeholder": "​", + "style": "IPY_MODEL_5404fb3ca5b0444681723418aa665271", + "value": "Validation DataLoader 0: 100%" + } + }, + "b75d1bc8220848018174445a66a892b4": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6063f4db9f8144d0b3a63c55615955e6", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_0f6b86ac29684b0e85df6d4c8d19d5c1", + "value": 1 + } + }, + "7c19c7f99d3b42bb88e321bad84597b1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_52ff9752a3874e48aff67c91095209f1", + "placeholder": "​", + "style": "IPY_MODEL_644a944d72f54ead85eb874aef0d9f72", + "value": " 1/1 [00:00<00:00, 35.53it/s]" + } + }, + "4f05086820e5449d9eba0042a149db37": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "84cc1fd6d8a14b278fad6b1be2e8db88": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5404fb3ca5b0444681723418aa665271": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "6063f4db9f8144d0b3a63c55615955e6": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0f6b86ac29684b0e85df6d4c8d19d5c1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "52ff9752a3874e48aff67c91095209f1": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "644a944d72f54ead85eb874aef0d9f72": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4bcf883d71e94962ad7ea4c7128a4146": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_31c195acda5f41e4a0acb75720b5e0a3", + "IPY_MODEL_3b33f603a86947e6b45e296ce0ee471b", + "IPY_MODEL_310f8a8708b14b6781a8beb31a516fd9" + ], + "layout": "IPY_MODEL_c1b10fed777b47d4af6eec4ec6a83ea2" + } + }, + "31c195acda5f41e4a0acb75720b5e0a3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5829ddda8f0d4091a33fdaca4aca8f62", + "placeholder": "​", + "style": "IPY_MODEL_b7c874a221474a49bd722c78bc48fb92", + "value": "Sanity Checking DataLoader 0: 100%" + } + }, + "3b33f603a86947e6b45e296ce0ee471b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d937a9467bc943318015be6ce0c4b6ca", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_f5751dfc6e5549fb80d2fc063499565a", + "value": 1 + } + }, + "310f8a8708b14b6781a8beb31a516fd9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_cd5d18490dd145c897cd97a631d6b4eb", + "placeholder": "​", + "style": "IPY_MODEL_9d915e97ce2b43a8a84906738073edb6", + "value": " 1/1 [00:00<00:00, 64.08it/s]" + } + }, + "c1b10fed777b47d4af6eec4ec6a83ea2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "5829ddda8f0d4091a33fdaca4aca8f62": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b7c874a221474a49bd722c78bc48fb92": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "d937a9467bc943318015be6ce0c4b6ca": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f5751dfc6e5549fb80d2fc063499565a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "cd5d18490dd145c897cd97a631d6b4eb": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9d915e97ce2b43a8a84906738073edb6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "eb0c36c9ff14493ab5597941806fe048": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d8e26fa6580746c8b781ac21d1bd6690", + "IPY_MODEL_476aeae3dcfe42749e6f5a1a8169d613", + "IPY_MODEL_3d198a39ef1442c8b63c83c4069a306d" + ], + "layout": "IPY_MODEL_f6ec28519cab4696920f9c274e3fb578" + } + }, + "d8e26fa6580746c8b781ac21d1bd6690": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5951f8f738154a378268179f2ada9dc2", + "placeholder": "​", + "style": "IPY_MODEL_9f90374ddbc74ab79c72fd0e910e5b1a", + "value": "Epoch 199: 100%" + } + }, + "476aeae3dcfe42749e6f5a1a8169d613": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_ceac6abd35b74b489fd21987adc2f13f", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_264270f9533c49d8bcea11c071f4ace2", + "value": 1 + } + }, + "3d198a39ef1442c8b63c83c4069a306d": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_432d29744df643eda1eac7328be84e8b", + "placeholder": "​", + "style": "IPY_MODEL_8362b0f5f17f4ff383e7cb7ab88a23fa", + "value": " 1/1 [00:00<00:00, 13.62it/s, v_num=75, train_loss_step=10.30, train_loss_epoch=10.30, valid_loss=11.10]" + } + }, + "f6ec28519cab4696920f9c274e3fb578": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "5951f8f738154a378268179f2ada9dc2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "9f90374ddbc74ab79c72fd0e910e5b1a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "ceac6abd35b74b489fd21987adc2f13f": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "264270f9533c49d8bcea11c071f4ace2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "432d29744df643eda1eac7328be84e8b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8362b0f5f17f4ff383e7cb7ab88a23fa": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1f50c0ee913b409c8e5e5a83f3103e08": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_e8fed86cd8dd45b48b388fb7aababbf0", + "IPY_MODEL_1ea9019d943545ba8d16128fc2ed94bd", + "IPY_MODEL_221b79e64fbe40c19a76f4bffb6e1f33" + ], + "layout": "IPY_MODEL_baf181a608ca4c7ba94df5a0c094e9aa" + } + }, + "e8fed86cd8dd45b48b388fb7aababbf0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_a5cf10cc88fb461095c91641dbfaf346", + "placeholder": "​", + "style": "IPY_MODEL_46a2cbba164c4481808834365e8a2aa3", + "value": "Validation DataLoader 0: 100%" + } + }, + "1ea9019d943545ba8d16128fc2ed94bd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b5d0bf8b5f594af6b97af9c3483214a8", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e066d9b2c0244d11a87d66b04a038bbe", + "value": 1 + } + }, + "221b79e64fbe40c19a76f4bffb6e1f33": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_df9f4c83b9ce409b941649939f0d16c0", + "placeholder": "​", + "style": "IPY_MODEL_ce4b5865f6f44101a971da65733abc33", + "value": " 1/1 [00:00<00:00, 111.07it/s]" + } + }, + "baf181a608ca4c7ba94df5a0c094e9aa": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "a5cf10cc88fb461095c91641dbfaf346": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "46a2cbba164c4481808834365e8a2aa3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b5d0bf8b5f594af6b97af9c3483214a8": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e066d9b2c0244d11a87d66b04a038bbe": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "df9f4c83b9ce409b941649939f0d16c0": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ce4b5865f6f44101a971da65733abc33": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "b32b537b9b7546299c2d3ce98b274ea9": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_f03a0af689ec44849265c45654687d7b", + "IPY_MODEL_57aaf8b8f3e64865b3422439a454804b", + "IPY_MODEL_22de8784c1fb42f3a1476d1ebfa7feb7" + ], + "layout": "IPY_MODEL_096b5e1177ea459d864fb38f09971c5a" + } + }, + "f03a0af689ec44849265c45654687d7b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_307b5eae093843c4a6da8c4d0fd1b85e", + "placeholder": "​", + "style": "IPY_MODEL_b9bae24b116d468b8a8215d75d56fb65", + "value": "Validation DataLoader 0: 100%" + } + }, + "57aaf8b8f3e64865b3422439a454804b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1caec1d699bf45238493a24aa2c5d01b", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_115e5a08022c456ba7bcdd3304854397", + "value": 1 + } + }, + "22de8784c1fb42f3a1476d1ebfa7feb7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e52121a096034139ad5b110e8fac4a2c", + "placeholder": "​", + "style": "IPY_MODEL_e695dcd844a04140ad3d79a1aa8f9427", + "value": " 1/1 [00:00<00:00, 134.28it/s]" + } + }, + "096b5e1177ea459d864fb38f09971c5a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": "hidden", + "width": "100%" + } + }, + "307b5eae093843c4a6da8c4d0fd1b85e": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b9bae24b116d468b8a8215d75d56fb65": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1caec1d699bf45238493a24aa2c5d01b": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "115e5a08022c456ba7bcdd3304854397": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "e52121a096034139ad5b110e8fac4a2c": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e695dcd844a04140ad3d79a1aa8f9427": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0d6f5d6ca7d84a31be6466abaa3372fd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_02706e3d5b674436a353f365c0cb31de", + "IPY_MODEL_44c1c73871cb425c8b0897c8fdfb2415", + "IPY_MODEL_a826591d14ca48caaf1284a3d2eba427" + ], + "layout": "IPY_MODEL_8c12ddf6ed794e09ab49d574b4a53faf" + } + }, + "02706e3d5b674436a353f365c0cb31de": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c4f31b9d2f38474fa354dd06dcf653fc", + "placeholder": "​", + "style": "IPY_MODEL_df5f893ca895494fbcd571e58225817a", + "value": "Predicting DataLoader 0: 100%" + } + }, + "44c1c73871cb425c8b0897c8fdfb2415": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7acd6a13dbed45d6926ebbfe586320c2", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_aca703637ce345159d21bf37f9779be7", + "value": 1 + } + }, + "a826591d14ca48caaf1284a3d2eba427": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_9ec7ee4bfa0145918a330dea39781abe", + "placeholder": "​", + "style": "IPY_MODEL_b62dff0390864cb48e3821143eea756a", + "value": " 1/1 [00:00<00:00, 124.66it/s]" + } + }, + "8c12ddf6ed794e09ab49d574b4a53faf": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "c4f31b9d2f38474fa354dd06dcf653fc": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "df5f893ca895494fbcd571e58225817a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "7acd6a13dbed45d6926ebbfe586320c2": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "aca703637ce345159d21bf37f9779be7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "9ec7ee4bfa0145918a330dea39781abe": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "b62dff0390864cb48e3821143eea756a": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "14bd96c3182d4bb19aa4ea4927728a91": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_8877b8e6a9a940ca86b78cc74d6ca0c1", + "IPY_MODEL_f521fdfdb4da4954ba77fcbdb6ad60f2", + "IPY_MODEL_81cf047735784eca9be97c68ae31638e" + ], + "layout": "IPY_MODEL_5998a4ab965a4545b96adfa4e6655b7a" + } + }, + "8877b8e6a9a940ca86b78cc74d6ca0c1": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_21b285a8c12a469d84620c3e7985db85", + "placeholder": "​", + "style": "IPY_MODEL_2884766406d54881a77a75ab2314747c", + "value": "Predicting DataLoader 0: 100%" + } + }, + "f521fdfdb4da4954ba77fcbdb6ad60f2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0b1c2ab16e3f42bf8c881b0d251593fd", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_3bde3aaf7a494b1bbd56861a26e76544", + "value": 1 + } + }, + "81cf047735784eca9be97c68ae31638e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d70303919a3d4175afa2e20efd05f5de", + "placeholder": "​", + "style": "IPY_MODEL_7bef4d38af6240388f83853acb32a9dd", + "value": " 1/1 [00:00<00:00, 38.41it/s]" + } + }, + "5998a4ab965a4545b96adfa4e6655b7a": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "21b285a8c12a469d84620c3e7985db85": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2884766406d54881a77a75ab2314747c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "0b1c2ab16e3f42bf8c881b0d251593fd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3bde3aaf7a494b1bbd56861a26e76544": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "d70303919a3d4175afa2e20efd05f5de": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "7bef4d38af6240388f83853acb32a9dd": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "115a52e3380b4c9b88832fa70e145d4b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_27bcc9b1712e4fa78d2c73bf00c0f1c7", + "IPY_MODEL_341a369f7bd2499cb5ce821bf9c4f9ff", + "IPY_MODEL_e6dc2586d07644a69cf30624a77676d0" + ], + "layout": "IPY_MODEL_9dfc35ee8ce64ab89236329532baa1df" + } + }, + "27bcc9b1712e4fa78d2c73bf00c0f1c7": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_d14fdf4c55014c0aa19bd989ca649bb4", + "placeholder": "​", + "style": "IPY_MODEL_e347ccd2d6364001ac02759717f8fde2", + "value": "Predicting DataLoader 0: 100%" + } + }, + "341a369f7bd2499cb5ce821bf9c4f9ff": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_63ceb550ee7b40249441f8befbd05ab4", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_e3ec6d8ee54b46e586bc80912759f01e", + "value": 1 + } + }, + "e6dc2586d07644a69cf30624a77676d0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_503c96bdd2de444ca3fb420a46fc0a23", + "placeholder": "​", + "style": "IPY_MODEL_6bc9b4448d9a410c8dbb42eb5630235f", + "value": " 1/1 [00:00<00:00, 77.53it/s]" + } + }, + "9dfc35ee8ce64ab89236329532baa1df": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "d14fdf4c55014c0aa19bd989ca649bb4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e347ccd2d6364001ac02759717f8fde2": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "63ceb550ee7b40249441f8befbd05ab4": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e3ec6d8ee54b46e586bc80912759f01e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "503c96bdd2de444ca3fb420a46fc0a23": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6bc9b4448d9a410c8dbb42eb5630235f": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1ad9ba7662064b149f5b8052bc25332e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_0f4335a834824b0c8ca8a6e0f9ba24b0", + "IPY_MODEL_9e4bcebc102843f1a24d1ac06eb64959", + "IPY_MODEL_77f1b1713c164e5eaaf56b349d83ea48" + ], + "layout": "IPY_MODEL_fe187460e3ac4e37b3e5f3578943af13" + } + }, + "0f4335a834824b0c8ca8a6e0f9ba24b0": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_282ac29fd8b64b7db3d79c156ddcdd44", + "placeholder": "​", + "style": "IPY_MODEL_2df27c85135b4ffd96a1d1d745fc89c6", + "value": "Predicting DataLoader 0: 100%" + } + }, + "9e4bcebc102843f1a24d1ac06eb64959": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1e10c062fd304769af7191333d580d30", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_06fd4766c1254bbebe3c841f6fdf790b", + "value": 1 + } + }, + "77f1b1713c164e5eaaf56b349d83ea48": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_6df3e97b1e5c4c56a9a0705632e0256d", + "placeholder": "​", + "style": "IPY_MODEL_3dc3ef0e4c824b71a4938e88a219f818", + "value": " 1/1 [00:00<00:00, 31.44it/s]" + } + }, + "fe187460e3ac4e37b3e5f3578943af13": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "282ac29fd8b64b7db3d79c156ddcdd44": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2df27c85135b4ffd96a1d1d745fc89c6": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1e10c062fd304769af7191333d580d30": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "06fd4766c1254bbebe3c841f6fdf790b": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "6df3e97b1e5c4c56a9a0705632e0256d": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3dc3ef0e4c824b71a4938e88a219f818": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a03537d793c7429e83cf1c5d053ca97e": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_9d0e35952b924d82a5151be4a627c9f8", + "IPY_MODEL_3d012b0d1fe54d3ea792200eb68f7f81", + "IPY_MODEL_8d810de67f064d6186b496967dd19804" + ], + "layout": "IPY_MODEL_13e70d66dd4c4913a101eb0da5c34fbd" + } + }, + "9d0e35952b924d82a5151be4a627c9f8": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_7b13cc245a16465d8a9a242c363c8258", + "placeholder": "​", + "style": "IPY_MODEL_42819cd32b3f4fa39f842ff846f4c81c", + "value": "Predicting DataLoader 0: 100%" + } + }, + "3d012b0d1fe54d3ea792200eb68f7f81": { + "model_module": "@jupyter-widgets/controls", + "model_name": "FloatProgressModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_977b591202bf4277bfbd3a87c8c11a86", + "max": 1, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_51777d1689eb45319a15ea76ecc37460", + "value": 1 + } + }, + "8d810de67f064d6186b496967dd19804": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HTMLModel", + "model_module_version": "1.5.0", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_17483dd2c1714c99b3163d92ce004375", + "placeholder": "​", + "style": "IPY_MODEL_ef445322f3b941619758b3567f783da3", + "value": " 1/1 [00:00<00:00, 96.45it/s]" + } + }, + "13e70d66dd4c4913a101eb0da5c34fbd": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": "inline-flex", + "flex": null, + "flex_flow": "row wrap", + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": "100%" + } + }, + "7b13cc245a16465d8a9a242c363c8258": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "42819cd32b3f4fa39f842ff846f4c81c": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "977b591202bf4277bfbd3a87c8c11a86": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": "2", + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "51777d1689eb45319a15ea76ecc37460": { + "model_module": "@jupyter-widgets/controls", + "model_name": "ProgressStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "17483dd2c1714c99b3163d92ce004375": { + "model_module": "@jupyter-widgets/base", + "model_name": "LayoutModel", + "model_module_version": "1.2.0", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ef445322f3b941619758b3567f783da3": { + "model_module": "@jupyter-widgets/controls", + "model_name": "DescriptionStyleModel", + "model_module_version": "1.5.0", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } } } } @@ -2096,7 +28447,16 @@ { "cell_type": "markdown", "source": [ - "# Prepwork" + "# Neural Forecast with Raw Data" + ], + "metadata": { + "id": "gPKJPe9Mm_Fh" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Pre" ], "metadata": { "id": "xcgxn0eB5_cY" @@ -2114,16 +28474,17 @@ }, "collapsed": true, "id": "M8yygWZZ4Kut", - "outputId": "4ec229fc-9b43-4718-9032-5864237e84c7" + "outputId": "49fdee81-9a3a-44ae-c06c-c10b10f71879" }, - "execution_count": 10, + "execution_count": 1, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.50)\n", - "Requirement already satisfied: neuralforecast in /usr/local/lib/python3.10/dist-packages (2.0.0)\n", + "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.51)\n", + "Collecting neuralforecast\n", + " Downloading neuralforecast-2.0.0-py3-none-any.whl.metadata (14 kB)\n", "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.2.2)\n", "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.26.4)\n", "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.32.3)\n", @@ -2135,13 +28496,18 @@ "Requirement already satisfied: peewee>=3.16.2 in /usr/local/lib/python3.10/dist-packages (from yfinance) (3.17.8)\n", "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.12.3)\n", "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.1)\n", - "Requirement already satisfied: coreforecast>=0.0.6 in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (0.0.15)\n", + "Collecting coreforecast>=0.0.6 (from neuralforecast)\n", + " Downloading coreforecast-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)\n", "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2024.10.0)\n", "Requirement already satisfied: torch>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2.5.1+cu121)\n", - "Requirement already satisfied: pytorch-lightning>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2.5.0.post0)\n", - "Requirement already satisfied: ray>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from ray[tune]>=2.2.0->neuralforecast) (2.40.0)\n", - "Requirement already satisfied: optuna in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (4.1.0)\n", - "Requirement already satisfied: utilsforecast>=0.2.3 in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (0.2.10)\n", + "Collecting pytorch-lightning>=2.0.0 (from neuralforecast)\n", + " Downloading pytorch_lightning-2.5.0.post0-py3-none-any.whl.metadata (21 kB)\n", + "Collecting ray>=2.2.0 (from ray[tune]>=2.2.0->neuralforecast)\n", + " Downloading ray-2.40.0-cp310-cp310-manylinux2014_x86_64.whl.metadata (17 kB)\n", + "Collecting optuna (from neuralforecast)\n", + " Downloading optuna-4.1.0-py3-none-any.whl.metadata (16 kB)\n", + "Collecting utilsforecast>=0.2.3 (from neuralforecast)\n", + " Downloading utilsforecast-0.2.10-py3-none-any.whl.metadata (7.4 kB)\n", "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4>=4.11.1->yfinance) (2.6)\n", "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (1.17.0)\n", "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (0.5.1)\n", @@ -2149,32 +28515,38 @@ "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2024.2)\n", "Requirement already satisfied: tqdm>=4.57.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (4.67.1)\n", "Requirement already satisfied: PyYAML>=5.4 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (6.0.2)\n", - "Requirement already satisfied: torchmetrics>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (1.6.1)\n", + "Collecting torchmetrics>=0.7.0 (from pytorch-lightning>=2.0.0->neuralforecast)\n", + " Downloading torchmetrics-1.6.1-py3-none-any.whl.metadata (21 kB)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (24.2)\n", "Requirement already satisfied: typing-extensions>=4.4.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (4.12.2)\n", - "Requirement already satisfied: lightning-utilities>=0.10.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (0.11.9)\n", - "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (8.1.7)\n", + "Collecting lightning-utilities>=0.10.0 (from pytorch-lightning>=2.0.0->neuralforecast)\n", + " Downloading lightning_utilities-0.11.9-py3-none-any.whl.metadata (5.2 kB)\n", + "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (8.1.8)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (3.16.1)\n", "Requirement already satisfied: jsonschema in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (4.23.0)\n", "Requirement already satisfied: msgpack<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.1.0)\n", "Requirement already satisfied: protobuf!=3.19.5,>=3.15.3 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (4.25.5)\n", "Requirement already satisfied: aiosignal in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.3.2)\n", "Requirement already satisfied: frozenlist in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.5.0)\n", - "Requirement already satisfied: tensorboardX>=1.9 in /usr/local/lib/python3.10/dist-packages (from ray[tune]>=2.2.0->neuralforecast) (2.6.2.2)\n", + "Collecting tensorboardX>=1.9 (from ray[tune]>=2.2.0->neuralforecast)\n", + " Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl.metadata (5.8 kB)\n", "Requirement already satisfied: pyarrow>=9.0.0 in /usr/local/lib/python3.10/dist-packages (from ray[tune]>=2.2.0->neuralforecast) (17.0.0)\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.4.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.10)\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2.2.3)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2024.12.14)\n", "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.4.2)\n", - "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.1.4)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.1.5)\n", "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (1.13.1)\n", "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=2.0.0->neuralforecast) (1.3.0)\n", - "Requirement already satisfied: alembic>=1.5.0 in /usr/local/lib/python3.10/dist-packages (from optuna->neuralforecast) (1.14.0)\n", - "Requirement already satisfied: colorlog in /usr/local/lib/python3.10/dist-packages (from optuna->neuralforecast) (6.9.0)\n", + "Collecting alembic>=1.5.0 (from optuna->neuralforecast)\n", + " Downloading alembic-1.14.0-py3-none-any.whl.metadata (7.4 kB)\n", + "Collecting colorlog (from optuna->neuralforecast)\n", + " Downloading colorlog-6.9.0-py3-none-any.whl.metadata (10 kB)\n", "Requirement already satisfied: sqlalchemy>=1.4.2 in /usr/local/lib/python3.10/dist-packages (from optuna->neuralforecast) (2.0.36)\n", - "Requirement already satisfied: Mako in /usr/local/lib/python3.10/dist-packages (from alembic>=1.5.0->optuna->neuralforecast) (1.3.8)\n", - "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (3.11.10)\n", + "Collecting Mako (from alembic>=1.5.0->optuna->neuralforecast)\n", + " Downloading Mako-1.3.8-py3-none-any.whl.metadata (2.9 kB)\n", + "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (3.11.11)\n", "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from lightning-utilities>=0.10.0->pytorch-lightning>=2.0.0->neuralforecast) (75.1.0)\n", "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from sqlalchemy>=1.4.2->optuna->neuralforecast) (3.1.1)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.0.0->neuralforecast) (3.0.2)\n", @@ -2187,7 +28559,32 @@ "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (6.1.0)\n", "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (0.2.1)\n", "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (1.18.3)\n", - "Requirement already satisfied: statsforecast in /usr/local/lib/python3.10/dist-packages (2.0.0)\n", + "Downloading neuralforecast-2.0.0-py3-none-any.whl (256 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m256.8/256.8 kB\u001b[0m \u001b[31m11.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading coreforecast-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (275 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m275.6/275.6 kB\u001b[0m \u001b[31m21.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading pytorch_lightning-2.5.0.post0-py3-none-any.whl (819 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m819.3/819.3 kB\u001b[0m \u001b[31m41.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading ray-2.40.0-cp310-cp310-manylinux2014_x86_64.whl (66.8 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.8/66.8 MB\u001b[0m \u001b[31m10.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading utilsforecast-0.2.10-py3-none-any.whl (41 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.7/41.7 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading optuna-4.1.0-py3-none-any.whl (364 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m364.4/364.4 kB\u001b[0m \u001b[31m27.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading alembic-1.14.0-py3-none-any.whl (233 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.5/233.5 kB\u001b[0m \u001b[31m22.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading lightning_utilities-0.11.9-py3-none-any.whl (28 kB)\n", + "Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl (101 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.7/101.7 kB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading torchmetrics-1.6.1-py3-none-any.whl (927 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m927.3/927.3 kB\u001b[0m \u001b[31m49.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading colorlog-6.9.0-py3-none-any.whl (11 kB)\n", + "Downloading Mako-1.3.8-py3-none-any.whl (78 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.6/78.6 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: tensorboardX, Mako, lightning-utilities, coreforecast, colorlog, alembic, utilsforecast, torchmetrics, optuna, ray, pytorch-lightning, neuralforecast\n", + "Successfully installed Mako-1.3.8 alembic-1.14.0 colorlog-6.9.0 coreforecast-0.0.15 lightning-utilities-0.11.9 neuralforecast-2.0.0 optuna-4.1.0 pytorch-lightning-2.5.0.post0 ray-2.40.0 tensorboardX-2.6.2.2 torchmetrics-1.6.1 utilsforecast-0.2.10\n", + "Collecting statsforecast\n", + " Downloading statsforecast-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (28 kB)\n", "Requirement already satisfied: ray in /usr/local/lib/python3.10/dist-packages (2.40.0)\n", "Requirement already satisfied: cloudpickle in /usr/local/lib/python3.10/dist-packages (from statsforecast) (3.1.0)\n", "Requirement already satisfied: coreforecast>=0.0.12 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.0.15)\n", @@ -2197,10 +28594,11 @@ "Requirement already satisfied: scipy>=1.7.3 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (1.13.1)\n", "Requirement already satisfied: statsmodels>=0.13.2 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.14.4)\n", "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from statsforecast) (4.67.1)\n", - "Requirement already satisfied: fugue>=0.8.1 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.9.1)\n", + "Collecting fugue>=0.8.1 (from statsforecast)\n", + " Downloading fugue-0.9.1-py3-none-any.whl.metadata (18 kB)\n", "Requirement already satisfied: utilsforecast>=0.1.4 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.2.10)\n", "Requirement already satisfied: threadpoolctl>=3 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (3.5.0)\n", - "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray) (8.1.7)\n", + "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray) (8.1.8)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from ray) (3.16.1)\n", "Requirement already satisfied: jsonschema in /usr/local/lib/python3.10/dist-packages (from ray) (4.23.0)\n", "Requirement already satisfied: msgpack<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from ray) (1.1.0)\n", @@ -2210,8 +28608,10 @@ "Requirement already satisfied: aiosignal in /usr/local/lib/python3.10/dist-packages (from ray) (1.3.2)\n", "Requirement already satisfied: frozenlist in /usr/local/lib/python3.10/dist-packages (from ray) (1.5.0)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from ray) (2.32.3)\n", - "Requirement already satisfied: triad>=0.9.7 in /usr/local/lib/python3.10/dist-packages (from fugue>=0.8.1->statsforecast) (0.9.8)\n", - "Requirement already satisfied: adagio>=0.2.4 in /usr/local/lib/python3.10/dist-packages (from fugue>=0.8.1->statsforecast) (0.2.6)\n", + "Collecting triad>=0.9.7 (from fugue>=0.8.1->statsforecast)\n", + " Downloading triad-0.9.8-py3-none-any.whl.metadata (6.3 kB)\n", + "Collecting adagio>=0.2.4 (from fugue>=0.8.1->statsforecast)\n", + " Downloading adagio-0.2.6-py3-none-any.whl.metadata (1.8 kB)\n", "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.55.0->statsforecast) (0.43.0)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.5->statsforecast) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.5->statsforecast) (2024.2)\n", @@ -2221,28 +28621,60 @@ "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (2024.10.1)\n", "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (0.35.1)\n", "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (0.22.3)\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (3.4.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (3.10)\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (2.2.3)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (2024.12.14)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas>=1.3.5->statsforecast) (1.17.0)\n", "Requirement already satisfied: pyarrow>=6.0.1 in /usr/local/lib/python3.10/dist-packages (from triad>=0.9.7->fugue>=0.8.1->statsforecast) (17.0.0)\n", "Requirement already satisfied: fsspec>=2022.5.0 in /usr/local/lib/python3.10/dist-packages (from triad>=0.9.7->fugue>=0.8.1->statsforecast) (2024.10.0)\n", - "Requirement already satisfied: fs in /usr/local/lib/python3.10/dist-packages (from triad>=0.9.7->fugue>=0.8.1->statsforecast) (2.4.16)\n", - "Requirement already satisfied: appdirs~=1.4.3 in /usr/local/lib/python3.10/dist-packages (from fs->triad>=0.9.7->fugue>=0.8.1->statsforecast) (1.4.4)\n", - "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from fs->triad>=0.9.7->fugue>=0.8.1->statsforecast) (75.1.0)\n" + "Collecting fs (from triad>=0.9.7->fugue>=0.8.1->statsforecast)\n", + " Downloading fs-2.4.16-py2.py3-none-any.whl.metadata (6.3 kB)\n", + "Collecting appdirs~=1.4.3 (from fs->triad>=0.9.7->fugue>=0.8.1->statsforecast)\n", + " Downloading appdirs-1.4.4-py2.py3-none-any.whl.metadata (9.0 kB)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from fs->triad>=0.9.7->fugue>=0.8.1->statsforecast) (75.1.0)\n", + "Downloading statsforecast-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (319 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m319.1/319.1 kB\u001b[0m \u001b[31m19.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading fugue-0.9.1-py3-none-any.whl (278 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m278.2/278.2 kB\u001b[0m \u001b[31m24.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading adagio-0.2.6-py3-none-any.whl (19 kB)\n", + "Downloading triad-0.9.8-py3-none-any.whl (62 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.3/62.3 kB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading fs-2.4.16-py2.py3-none-any.whl (135 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.3/135.3 kB\u001b[0m \u001b[31m14.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)\n", + "Installing collected packages: appdirs, fs, triad, adagio, fugue, statsforecast\n", + "Successfully installed adagio-0.2.6 appdirs-1.4.4 fs-2.4.16 fugue-0.9.1 statsforecast-2.0.0 triad-0.9.8\n" ] } ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, "collapsed": true, - "id": "X1tM0gx63iA1" + "id": "X1tM0gx63iA1", + "outputId": "ffa3901a-fc96-4acc-ee66-4ff3023138fd" }, - "outputs": [], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/dask/dataframe/__init__.py:42: FutureWarning: \n", + "Dask dataframe query planning is disabled because dask-expr is not installed.\n", + "\n", + "You can install it with `pip install dask[dataframe]` or `conda install dask`.\n", + "This will raise in a future version.\n", + "\n", + " warnings.warn(msg, FutureWarning)\n" + ] + } + ], "source": [ "from neuralforecast import NeuralForecast\n", "from neuralforecast.auto import AutoNHITS, AutoAutoformer, AutoPatchTST, AutoiTransformer, AutoFEDformer\n", @@ -2251,6 +28683,15 @@ "import yfinance as yf" ] }, + { + "cell_type": "markdown", + "source": [ + "### Test yfinance download" + ], + "metadata": { + "id": "kkH3CM9RS2tQ" + } + }, { "cell_type": "code", "source": [ @@ -2676,13 +29117,26 @@ } ] }, + { + "cell_type": "markdown", + "source": [ + "### Yfinance full download" + ], + "metadata": { + "id": "6GJG_GboS8LS" + } + }, { "cell_type": "code", "source": [ "import pandas as pd\n", + "pd.set_option('display.max_columns', None)\n", + "pd.set_option('display.max_rows', None)\n", + "pd.set_option('display.width', None)\n", "\n", "# Fetch data for multiple tickers\n", - "tickers = [\"AAPL\", \"GOOG\", \"MSFT\"]\n", + "#tickers = [\"AAPL\", \"GOOG\", \"MSFT\"]\n", + "tickers = [\"AMZN\", \"GOOGL\", \"MSFT\", \"BABA\", \"TCEHY\", \"ORCL\", \"CCJ\", \"DNN\", \"URG\", \"KAP\", \"NVDA\", \"AMD\", \"USO\", \"UCO\", \"UNG\", \"SREN.SW\", \"MUV2.DE\", \"RGA\"]\n", "data = yf.download(tickers, start=\"2015-01-01\", end=\"2023-06-30\")\n", "\n", "# Reshape the data\n", @@ -2707,58 +29161,51 @@ }, "collapsed": true, "id": "II9yYQkz5XzJ", - "outputId": "d8ab2f40-17c8-43c4-f50f-67f2a6a5ead9" + "outputId": "f3f1364f-c700-439e-c869-48ae2b342106" }, - "execution_count": 13, + "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ - "[*********************100%***********************] 3 of 3 completed" + "[*********************100%***********************] 18 of 18 completed\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ - " Date Ticker Close\n", - "0 2015-01-02 AAPL 27.332500\n", - "1 2015-01-05 AAPL 26.562500\n", - "2 2015-01-06 AAPL 26.565001\n", - "3 2015-01-07 AAPL 26.937500\n", - "4 2015-01-08 AAPL 27.972500\n", - "... ... ... ...\n", - "6406 2023-06-23 MSFT 335.019989\n", - "6407 2023-06-26 MSFT 328.600006\n", - "6408 2023-06-27 MSFT 334.570007\n", - "6409 2023-06-28 MSFT 335.850006\n", - "6410 2023-06-29 MSFT 335.049988\n", + " Date Ticker Close\n", + "0 2015-01-02 AMD 2.670000\n", + "1 2015-01-05 AMD 2.660000\n", + "2 2015-01-06 AMD 2.630000\n", + "3 2015-01-07 AMD 2.580000\n", + "4 2015-01-08 AMD 2.610000\n", + "... ... ... ...\n", + "39469 2023-06-23 USO 62.419998\n", + "39470 2023-06-26 USO 62.730000\n", + "39471 2023-06-27 USO 61.299999\n", + "39472 2023-06-28 USO 62.520000\n", + "39473 2023-06-29 USO 62.959999\n", "\n", - "[6411 rows x 3 columns]\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "\n" + "[39474 rows x 3 columns]\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ - " ds unique_id y\n", - "0 2015-01-02 AAPL 27.332500\n", - "1 2015-01-05 AAPL 26.562500\n", - "2 2015-01-06 AAPL 26.565001\n", - "3 2015-01-07 AAPL 26.937500\n", - "4 2015-01-08 AAPL 27.972500" + " ds unique_id y\n", + "0 2015-01-02 AMD 2.67\n", + "1 2015-01-05 AMD 2.66\n", + "2 2015-01-06 AMD 2.63\n", + "3 2015-01-07 AMD 2.58\n", + "4 2015-01-08 AMD 2.61" ], "text/html": [ "\n", - "
\n", + "
\n", "
\n", "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dsunique_idydiff
02015-01-02AMD2.670000NaN
12015-01-05AMD2.660000-0.010000
22015-01-06AMD2.630000-0.030000
32015-01-07AMD2.580000-0.050000
42015-01-08AMD2.6100000.030000
21932015-01-02AMZN15.426000NaN
21942015-01-05AMZN15.109500-0.316500
21952015-01-06AMZN14.764500-0.345000
21962015-01-07AMZN14.9210000.156500
21972015-01-08AMZN15.0230000.102000
43862015-01-02BABA100.051346NaN
43872015-01-05BABA97.540413-2.510933
43882015-01-06BABA99.7809372.240524
43892015-01-07BABA98.631699-1.149239
43902015-01-08BABA101.4323652.800667
65792015-01-02CCJ14.647924NaN
65802015-01-05CCJ14.200523-0.447401
65812015-01-06CCJ14.164732-0.035791
65822015-01-07CCJ14.039457-0.125275
65832015-01-08CCJ14.3526410.313184
87722015-01-02DNN0.990000NaN
87732015-01-05DNN0.930000-0.060000
87742015-01-06DNN0.9300000.000000
87752015-01-07DNN0.9500000.020000
87762015-01-08DNN0.9700000.020000
109652015-01-02GOOGL26.381865NaN
109662015-01-05GOOGL25.879185-0.502680
109672015-01-06GOOGL25.240503-0.638681
109682015-01-07GOOGL25.166269-0.074234
109692015-01-08GOOGL25.2539560.087687
131582015-01-02KAP0.060000NaN
131592015-01-05KAP0.0600000.000000
131602015-01-06KAP0.0600000.000000
131612015-01-07KAP0.0600000.000000
131622015-01-08KAP0.0600000.000000
153512015-01-02MSFT40.152477NaN
153522015-01-05MSFT39.783249-0.369228
153532015-01-06MSFT39.199326-0.583923
153542015-01-07MSFT39.6973840.498058
153552015-01-08MSFT40.8651961.167812
175442015-01-02MUV2.DE107.743690NaN
175452015-01-05MUV2.DE105.456146-2.287544
175462015-01-06MUV2.DE105.031296-0.424850
175472015-01-07MUV2.DE104.867905-0.163391
175482015-01-08MUV2.DE107.4495622.581657
197372015-01-02NVDA0.483144NaN
197382015-01-05NVDA0.474983-0.008160
197392015-01-06NVDA0.460582-0.014401
197402015-01-07NVDA0.459382-0.001200
197412015-01-08NVDA0.4766630.017281
219302015-01-02ORCL37.956917NaN
219312015-01-05ORCL37.424603-0.532314
219322015-01-06ORCL37.038250-0.386353
219332015-01-07ORCL37.0468440.008595
219342015-01-08ORCL37.2700580.223213
241232015-01-02RGA72.185280NaN
241242015-01-05RGA70.682961-1.502319
241252015-01-06RGA69.865768-0.817192
241262015-01-07RGA70.6664510.800682
241272015-01-08RGA71.9211201.254669
263162015-01-02SREN.SW45.523659NaN
263172015-01-05SREN.SW45.5236590.000000
263182015-01-06SREN.SW45.165211-0.358448
263192015-01-07SREN.SW45.3306500.165440
263202015-01-08SREN.SW46.4335821.102932
285092015-01-02TCEHY13.142474NaN
285102015-01-05TCEHY13.3435410.201067
285112015-01-06TCEHY13.9741600.630619
285122015-01-07TCEHY14.8332660.859106
285132015-01-08TCEHY15.1714220.338156
307022015-01-02UCO619.375000NaN
307032015-01-05UCO557.500000-61.875000
307042015-01-06UCO510.000000-47.500000
307052015-01-07UCO524.37500014.375000
307062015-01-08UCO536.87500012.500000
328952015-01-02UNG239.360001NaN
328962015-01-05UNG237.919998-1.440002
328972015-01-06UNG238.8800050.960007
328982015-01-07UNG233.279999-5.600006
328992015-01-08UNG239.0399935.759995
350882015-01-02URG0.850000NaN
350892015-01-05URG0.8500000.000000
350902015-01-06URG0.8500000.000000
350912015-01-07URG0.8600000.010000
350922015-01-08URG0.8800000.020000
372812015-01-02USO159.119995NaN
372822015-01-05USO150.320007-8.799988
372832015-01-06USO144.399994-5.920013
372842015-01-07USO146.9600072.560013
372852015-01-08USO148.3999941.439987
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"explore_and_clean_data(hist)\",\n \"rows\": 90,\n \"fields\": [\n {\n \"column\": \"ds\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2015-01-02 00:00:00\",\n \"max\": \"2015-01-08 00:00:00\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"2015-01-05 00:00:00\",\n \"2015-01-08 00:00:00\",\n \"2015-01-06 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"unique_id\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 18,\n \"samples\": [\n \"AMD\",\n \"AMZN\",\n \"MUV2.DE\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"y\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 130.8025382400424,\n \"min\": 0.05999999865889549,\n \"max\": 619.375,\n \"num_unique_values\": 82,\n \"samples\": [\n 40.1524772644043,\n 2.6700000762939453,\n 0.949999988079071\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"diff\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9.615055125236765,\n \"min\": -61.875,\n \"max\": 14.375,\n \"num_unique_values\": 64,\n \"samples\": [\n -47.5,\n 5.7599945068359375,\n -0.009999990463256836\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "count 39474.000000\n", + "mean 0.012833\n", + "std 3.205695\n", + "min -79.375000\n", + "25% -0.336383\n", + "50% 0.000000\n", + "75% 0.434586\n", + "max 341.925000\n", + "Name: diff, dtype: float64\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Training & Prediction AutoNHITS & AutoAutoFormer" ], "metadata": { "id": "82eXZYrV6GP2" } }, - { - "cell_type": "code", - "source": [ - "!pip install statsforecast ray" - ], - "metadata": { - "id": "OW_gaHhW9ZhR" - }, - "execution_count": null, - "outputs": [] - }, { "cell_type": "code", "source": [ "import neuralforecast.losses.pytorch as NFL\n", - "print(dir(NFL))" + "print(dir(NFL))\n", + "from neuralforecast.auto import AutoNHITS, AutoAutoformer\n", + "from neuralforecast.losses.pytorch import MQLoss, HuberLoss\n", + "from ray import tune" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, + "collapsed": true, "id": "gH0V33VKCghX", - "outputId": "de6ccb04-2fa2-45a4-d56c-50c57afccbad" + "outputId": "5fe7c5ed-36dd-48b0-8cb7-0fd857bc51ca" }, - "execution_count": 83, + "execution_count": 5, "outputs": [ { "output_type": "stream", @@ -3081,19 +30559,6 @@ } ] }, - { - "cell_type": "code", - "source": [ - "from neuralforecast.auto import AutoNHITS, AutoAutoformer\n", - "from neuralforecast.losses.pytorch import MQLoss, HuberLoss\n", - "from ray import tune" - ], - "metadata": { - "id": "mMnR1ILI9W2L" - }, - "execution_count": 84, - "outputs": [] - }, { "cell_type": "code", "source": [ @@ -3125,116 +30590,1566 @@ "}" ], "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 280 - }, "collapsed": true, - "id": "iQUWZSQh30pk", - "outputId": "bd4e3f6d-2b34-48ca-e9a4-dc981d2b2f1c" + "id": "iQUWZSQh30pk" }, - "execution_count": 60, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "2025-01-09 11:59:21,907\tINFO worker.py:1654 -- Calling ray.init() again after it has already been called.\n" - ] - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "[INFO] Starting nf.fit(...) with Ray Tune. If you see no progress logs, check Ray's output cells.\n", - "Quick Mode = True. Time limit = 120 sec.\n", - "\n" - ] - }, - { - "output_type": "error", - "ename": "TypeError", - "evalue": "NeuralForecast.fit() got an unexpected keyword argument 'stop'", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 154\u001b[0m f\"Quick Mode = {quick_mode}. Time limit = {TOTAL_TIME_LIMIT_S} sec.\\n\")\n\u001b[1;32m 155\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 156\u001b[0;31m analysis = nf.fit(\n\u001b[0m\u001b[1;32m 157\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 158\u001b[0m \u001b[0mstop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstop_criteria\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;31m# Stop after TOTAL_TIME_LIMIT_S\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: NeuralForecast.fit() got an unexpected keyword argument 'stop'" - ] - } - ] + "execution_count": 20, + "outputs": [] }, { "cell_type": "code", "source": [ "nf = NeuralForecast(\n", " models=[\n", - " AutoAutoformer(h=48, config=config_autoformer, loss=MQLoss(), num_samples=2),\n", + " #AutoAutoformer(h=48, config=config_autoformer, loss=MQLoss(), num_samples=2),\n", " AutoNHITS(h=48, config=config_nhits, loss=MQLoss(), num_samples=5),\n", " ],\n", - " freq='D' # hourly ?!\n", + " freq='B' # H=hourly D=Day, B=BusinessDay usw.\n", ")\n", "nf.fit(df=hist)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 619 + "height": 1000, + "referenced_widgets": [ + "eece1386d9474d1fa53dae5ce9737bc1", + "69d31d2cc97349dcb02a1f5082eae9af", + "91a49bc7306742a2918ee3e28f405ae2", + "8a38717f0b484f7cb1aec2a254f28574", + "3e5b6096ad144a94a119562ff17af628", + "45ed316e69fb447c9048ee7da1966762", + "a107e4a5b7224981bc9ac95e415b2553", + "883ec7d4ee764ace8ab37345c7f69974", + "305a34d1215a4d3793687c809a320f32", + "188fb67309b14104870090fa47a2a9e1", + "3b3054133bb14cdd92e4f2a84e705592", + "59784e0b9585434b8ac587967dd53085", + "9f3c92633514473e825a206f3617e84d", + "2469c1399d694b32932752791fb63808", + "375931236a964892b355aabf3776638d", + "6f7ea5c4e1cb4fe0adee76b9e7bddc6c", + "7d018e3544424c408e6eb98adf64d902", + "2ee6ef851fed40e8a5b13b210aab33a7", + "32c2693bca4842ef8ef5364719f1d3c2", + "06d3600a0a55419f9dfb49311ea524de", + "6cbd6884914f41c581a3d7e967a955bd", + "db6ff65ff7c341c398e90442cbb2de11", + "d90c9ecbf5ac425eaf6588df006f6974", + "28c94cf1df0b455fb61c46a3833fbe53", + "3cc60522452b4982ba9d7761a24c37da", + "67035451f409469a8bfc9ad7e728a74e", + "fda538fe1ea54e1abe1a748962856d28", + "bb8e6bf01056472c80b1732b6e159eca", + "3b097d68a29d4509b48f20274c18cc00", + "8235aa632a474a26a72f8be837bd5a18", + "d5429da8b05a4290a1fa4f23ef7deead", + "2db3dff5b6764db6954746286d0e8680", + "2cc0e8983aeb41c689df4570f7300a30", + "23ed832bcbaa44d0b210d9072efe1795", + "a23d7740cf104a018895fc94054f2399", + "a3295bbaa42642099ddcf39f00f1763f", + "0482ae864f504428bbe99c45953d342f", + "deb08c047d1b4d1886fc8e04fea47f14", + "338586b241f4450abb168f830b62480e", + "b56402ffd6714359ac6e8baff59ed645", + "ca38914442944f2d806a8fce76ef3d80", + "b90d89b8f0074ba48d204effebb9150e", + "653da141d6594a6cbb2f9527079bbee8", + "4f03ed4d9c9640e38165210f0c94e452", + "369c7032716a4e7d8c0f8ff84331bc60", + "06a23a6a007649aa835b653b4f898a7d", + "9acbe6dca38444f8a8fc04b5bbee49b1", + "d0951062b7594b49bcc5caf419cda7b5", + "6817fdc3b9a54af6a42a08e0f70a0e11", + "76a59c512c8d420983d0bbe2dbdf436e", + "cc4f3210112a4fca9cdbe471b1a2550e", + "0ab13ab4e71945f49a8ecdf89ff5577b", + "e49869bb45e74296b646628183cfcc16", + "006aad27cabc43d88b1c9ced77d96737", + "813390d180f246029f28eafa9e2826b8", + "a66d067be1014a258d25dd68f447d47a", + "f1d4f06471924aca9bbc4c81284aa7ea", + "b3baa10524c4490f8c3cd812f803e7a1", + "01f83c6908254adebf84772a7ab34132", + "ed1405d9e4eb4bfa90736f7e28641fac", + "d077ad963f004eb3940788f4a6caaf5f", + "6be9338a237d4311977dde448343f9d6", + "e744c1badb8c4400965ea5f2a71a5c44", + "7dc0bf4ff46b403e92a7e237ae14fb79", + "46941c1f97e7434288dfd5db7041b75f", + "035f02c67d9146869d3147d590cbc5b9", + "1d27785eaf604ebb822ce19efb18846b", + "0e8efe9979f246cc88ea1c87b3fb9fb3", + "29d4c5485377491bb9b1055784b693f5", + "87123bd1afd74380ab0f5301121391ae", + "2feb22d87abf4409b5fd6bfd0baa561d", + "a49eaf2ebb1544d28b543d6f0bb2dcc0", + "8682e9c0088446908f4f59303c76806c", + "ea4f07d038af48a7913c1b50a8d82a8d", + "482d42e8f5ab4a418905df7c3e7b959f", + "007bcccd5ae744e48b73defcfcab1082", + "e0a20ddba8d943fba44eeb5a1801136b", + "396b8fdaee444f63a672f4ff133b11e0", + "f38c3976eefa483c84b8a902a8a6a608", + "5918120bc66e4cf6b1c7cb79763f94a8", + "7a04653e468e4cdf8659f949fe36eddf", + "17430bb5d20d4fa2b8124b569c482e43", + "3069e7cf9ef8440ab8a0f9e8a6416c90", + "79dfa8ebca074700bf132f9cd6714128", + "a69f8a587a7046708952c7729638a849", + "bd6e03f0e13e414895c391d98866ce91", + "069ce90787814709baa5ad8fdab2738d", + "55610428d48b45ffb7fea9c4d59f90d8", + "3fe0686c7b3b44b19f11c9a7ee14e4f2", + "8a7675ea22734308821ef785fe1ac4b5", + "a60605b1fb8f4d74a3f9cb57667fb833", + "29e381ba952e4b6d859645a63ce17ab5", + "643f81a93d7f436d910af857cc89146c", + "f115530360e142c6a7ccde65d1d1d497", + "cd8f69e3258248e19b4a34140b0f6e28", + "3fc32c3f1060483abea94b2a14238e4b", + "048048f53966483894945c7f367641e4", + "8992745c8f6b41e6aed98c7182a65b68", + "d2e55a76115d472c93d3d288062fe003", + "0a5647eb2da64e938696e91446228e03", + "cbc2903fa1944daaaeb641ca9648a3bd", + "80df98cb97514d03a4ce7be49567d0a9", + "4aaf5d22caec40a5bebdb4312ff4e057", + "e5fcf659b7a749eb80a2f1f93f313435", + "dd091c40382f4d14971d8626451f3681", + "3d526b2167f24955abf2626792a9a167", + "8d80a36453654ea79b6ce8ed4b823300", + "369ef6ed789f4f218f8cf55b5d567dd2", + "4b0e0a7376764fde9c294311e28f92aa", + "46cbe6ef36e84e92acbc3ff5debffbb8", + "e454704355ed4bfc85042f8b25226c33", + "7ed718c826d049eaa263f1d97d966442", + "5dae38b4ba6947d8a79e87f05e1e417d", + "37176c124b3d478a87606324e8a39171", + "37c7edaaea4e42d9b805bbb88c1ae18b", + "b0c1cd014bc34e7e9d399d68e974aac9", + "3ac9903122aa488597e1106468061f60", + "4ee3bd752dd745dfb5dddd753cd59e83", + "875e0872fcc54ae08c17ecdbdd8510a8", + "1eda27e9a37d4ecb881ff8ffd89b1690", + "62054e44001343ad8486680cfed23fe9", + "f70e39aef8f540e48873cf764b6d352a", + "58e9e08ded5d496cb3c926d141578f26", + "60e6f2de07674319bc06d6d8544d6642", + "419a63ce82bf49cb9b6df954edf3c6d2", + "7a39db1891944157a4b44a6c9b2f31e0", + "7a8da2f602554d86ab7b9505dc9840c3", + "702939b08a404ecc8c72a692204cf318", + "6ed7e7d6e02545d99332373dbb6470ed", + "895f6226472b42ca9ecc7fb3ece321b1", + "6782038a43334a508525b57c7136ccde", + "e7ad95b9b898443796666b096c2aff7a" + ] }, "collapsed": true, "id": "RoGwMBnC32su", - "outputId": "5bd3612a-aa4f-45b9-b079-a7d6e816993b" + "outputId": "0a67d661-752d-4925-b986-28deb9e17e8b" }, - "execution_count": 38, + "execution_count": 26, "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "2025-01-10 17:55:45,365\tINFO worker.py:1821 -- Started a local Ray instance.\n", + "2025-01-10 17:55:47,039\tINFO tune.py:253 -- Initializing Ray automatically. For cluster usage or custom Ray initialization, call `ray.init(...)` before `Tuner(...)`.\n" + ] + }, { "output_type": "stream", "name": "stdout", "text": [ "+--------------------------------------------------------------------+\n", - "| Configuration for experiment _train_tune_2025-01-08_17-24-15 |\n", + "| Configuration for experiment _train_tune_2025-01-10_17-55-42 |\n", "+--------------------------------------------------------------------+\n", "| Search algorithm BasicVariantGenerator |\n", "| Scheduler FIFOScheduler |\n", - "| Number of trials 2 |\n", + "| Number of trials 5 |\n", "+--------------------------------------------------------------------+\n", "\n", - "View detailed results here: /root/ray_results/_train_tune_2025-01-08_17-24-15\n", - "To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2025-01-08_12-39-14_441571_687/artifacts/2025-01-08_17-24-15/_train_tune_2025-01-08_17-24-15/driver_artifacts`\n" + "View detailed results here: /root/ray_results/_train_tune_2025-01-10_17-55-42\n", + "To visualize your results with TensorBoard, run: `tensorboard --logdir /tmp/ray/session_2025-01-10_17-55-42_262464_201/artifacts/2025-01-10_17-55-47/_train_tune_2025-01-10_17-55-42/driver_artifacts`\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ - "2025-01-08 17:24:16,973\tWARNING tune.py:219 -- Stop signal received (e.g. via SIGINT/Ctrl+C), ending Ray Tune run. This will try to checkpoint the experiment state one last time. Press CTRL+C (or send SIGINT/SIGKILL/SIGTERM) to skip. \n", - "2025-01-08 17:24:16,983\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/root/ray_results/_train_tune_2025-01-08_17-24-15' in 0.0038s.\n" + "\u001b[36m(pid=8917)\u001b[0m /usr/local/lib/python3.10/dist-packages/dask/dataframe/__init__.py:42: FutureWarning: \n", + "\u001b[36m(pid=8917)\u001b[0m Dask dataframe query planning is disabled because dask-expr is not installed.\n", + "\u001b[36m(pid=8917)\u001b[0m \n", + "\u001b[36m(pid=8917)\u001b[0m You can install it with `pip install dask[dataframe]` or `conda install dask`.\n", + "\u001b[36m(pid=8917)\u001b[0m This will raise in a future version.\n", + "\u001b[36m(pid=8917)\u001b[0m \n", + "\u001b[36m(pid=8917)\u001b[0m warnings.warn(msg, FutureWarning)\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m /usr/local/lib/python3.10/dist-packages/ray/tune/integration/pytorch_lightning.py:198: `ray.tune.integration.pytorch_lightning.TuneReportCallback` is deprecated. Use `ray.tune.integration.pytorch_lightning.TuneReportCheckpointCallback` instead.\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m Seed set to 17\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m GPU available: True (cuda), used: True\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m TPU available: False, using: 0 TPU cores\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m HPU available: False, using: 0 HPUs\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 2025-01-10 17:55:56.422218: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 2025-01-10 17:55:56.448654: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 2025-01-10 17:55:56.456639: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 2025-01-10 17:55:56.474837: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 2025-01-10 17:55:57.661116: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m \n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m | Name | Type | Params | Mode \n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m -------------------------------------------------------\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 0 | loss | MQLoss | 5 | train\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 1 | padder_train | ConstantPad1d | 0 | train\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 2 | scaler | TemporalNorm | 0 | train\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 3 | blocks | ModuleList | 112 K | train\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m -------------------------------------------------------\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 112 K Trainable params\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 5 Non-trainable params\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 112 K Total params\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 0.450 Total estimated model params size (MB)\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 40 Modules in train mode\n", + "\u001b[36m(_train_tune pid=8917)\u001b[0m 0 Modules in eval mode\n" ] }, { - "output_type": "error", - "ename": "KeyboardInterrupt", - "evalue": "", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mfreq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'H'\u001b[0m \u001b[0;31m# hourly ?!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m )\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mnf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/neuralforecast/core.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, df, static_df, val_size, use_init_models, verbose, id_col, time_col, target_col, distributed_config, prediction_intervals)\u001b[0m\n\u001b[1;32m 545\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 546\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 547\u001b[0;31m self.models[i] = model.fit(\n\u001b[0m\u001b[1;32m 548\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mval_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdistributed_config\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdistributed_config\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 549\u001b[0m )\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/neuralforecast/common/_base_auto.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, dataset, val_size, test_size, random_seed, distributed_config)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[0;34m\"distributed training is not supported for the ray backend.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 402\u001b[0m )\n\u001b[0;32m--> 403\u001b[0;31m results = self._tune_model(\n\u001b[0m\u001b[1;32m 404\u001b[0m \u001b[0mcls_model\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcls_model\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 405\u001b[0m \u001b[0mdataset\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/neuralforecast/common/_base_auto.py\u001b[0m in \u001b[0;36m_tune_model\u001b[0;34m(self, cls_model, dataset, val_size, test_size, cpus, gpus, verbose, num_samples, search_alg, config)\u001b[0m\n\u001b[1;32m 268\u001b[0m \u001b[0mparam_space\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 269\u001b[0m )\n\u001b[0;32m--> 270\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 271\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresults\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 272\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/tune/tuner.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 375\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 376\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_ray_client\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 377\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_local_tuner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 378\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 379\u001b[0m (\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/tune/impl/tuner_internal.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 474\u001b[0m \u001b[0mparam_space\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdeepcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_space\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 475\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_restored\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 476\u001b[0;31m \u001b[0manalysis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fit_internal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparam_space\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 477\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 478\u001b[0m \u001b[0manalysis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fit_resume\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparam_space\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/tune/impl/tuner_internal.py\u001b[0m in \u001b[0;36m_fit_internal\u001b[0;34m(self, trainable, param_space)\u001b[0m\n\u001b[1;32m 590\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_tuner_kwargs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 591\u001b[0m }\n\u001b[0;32m--> 592\u001b[0;31m analysis = run(\n\u001b[0m\u001b[1;32m 593\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 594\u001b[0m )\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/tune/tune.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(run_or_experiment, name, metric, mode, stop, time_budget_s, config, resources_per_trial, num_samples, storage_path, storage_filesystem, search_alg, scheduler, checkpoint_config, verbose, progress_reporter, log_to_file, trial_name_creator, trial_dirname_creator, sync_config, export_formats, max_failures, fail_fast, restore, resume, resume_config, reuse_actors, raise_on_failed_trial, callbacks, max_concurrent_trials, keep_checkpoints_num, checkpoint_score_attr, checkpoint_freq, checkpoint_at_end, chdir_to_trial_dir, local_dir, _remote, _remote_string_queue, _entrypoint)\u001b[0m\n\u001b[1;32m 1024\u001b[0m \u001b[0mall_trials\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrunner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_trials\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1025\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1026\u001b[0;31m \u001b[0mrunner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcleanup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1027\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1028\u001b[0m \u001b[0mincomplete_trials\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/tune/execution/tune_controller.py\u001b[0m in \u001b[0;36mcleanup\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1973\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcleanup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1974\u001b[0m \u001b[0;34m\"\"\"Cleanup trials and callbacks.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1975\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cleanup_trials\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1976\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend_experiment_callbacks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1977\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/tune/execution/tune_controller.py\u001b[0m in \u001b[0;36m_cleanup_trials\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 801\u001b[0m \u001b[0;34m\"Waiting for actor manager to clean up final state [dedup]\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 802\u001b[0m )\n\u001b[0;32m--> 803\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_actor_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 804\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 805\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Force cleanup of remaining actors\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/air/execution/_internal/actor_manager.py\u001b[0m in \u001b[0;36mnext\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 211\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 212\u001b[0m \u001b[0mstart_wait\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonotonic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 213\u001b[0;31m \u001b[0mready\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mall_futures\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_returns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 214\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 215\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mready\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/_private/auto_init_hook.py\u001b[0m in \u001b[0;36mauto_init_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 19\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mauto_init_wrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0mauto_init_ray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mauto_init_wrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/_private/client_mode_hook.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m\"init\"\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mis_client_mode_enabled_by_default\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 103\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/ray/_private/worker.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(ray_waitables, num_returns, timeout, fetch_local)\u001b[0m\n\u001b[1;32m 2984\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2985\u001b[0m \u001b[0mtimeout_milliseconds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2986\u001b[0;31m ready_ids, remaining_ids = worker.core_worker.wait(\n\u001b[0m\u001b[1;32m 2987\u001b[0m \u001b[0mray_waitables\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2988\u001b[0m \u001b[0mnum_returns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32mpython/ray/_raylet.pyx\u001b[0m in \u001b[0;36mray._raylet.CoreWorker.wait\u001b[0;34m()\u001b[0m\n", - "\u001b[0;32mpython/ray/includes/common.pxi\u001b[0m in \u001b[0;36mray._raylet.check_status\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[36m(_train_tune pid=8917)\u001b[0m \rSanity Checking: | | 0/? [00:00\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
unique_iddsAutoNHITSAutoNHITS-lo-90AutoNHITS-lo-80AutoNHITS-hi-80AutoNHITS-hi-90
0AMD2023-06-30111.454109103.558571105.977913116.242310118.696014
1AMD2023-07-03111.462448102.947815105.427971116.756081119.216034
2AMD2023-07-04111.484924101.604530104.226799117.828773120.420059
3AMD2023-07-05111.492851100.620773103.487946118.490913121.390228
4AMD2023-07-06111.53723999.450470102.841850119.044945122.283073
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "fcst_df", + "summary": "{\n \"name\": \"fcst_df\",\n \"rows\": 864,\n \"fields\": [\n {\n \"column\": \"unique_id\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 18,\n \"samples\": [\n \"AMD\",\n \"AMZN\",\n \"MUV2.DE\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ds\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2023-06-30 00:00:00\",\n \"max\": \"2023-09-05 00:00:00\",\n \"num_unique_values\": 48,\n \"samples\": [\n \"2023-08-08 00:00:00\",\n \"2023-08-25 00:00:00\",\n \"2023-08-07 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AutoNHITS\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 864,\n \"samples\": [\n 1.2203856706619263,\n 29.05128288269043,\n 42.237281799316406\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AutoNHITS-lo-90\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 864,\n \"samples\": [\n 1.0507763624191284,\n 25.688785552978516,\n 37.553504943847656\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AutoNHITS-lo-80\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 864,\n \"samples\": [\n 1.086025595664978,\n 26.46906280517578,\n 38.86103057861328\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AutoNHITS-hi-80\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 864,\n \"samples\": [\n 1.339962124824524,\n 30.455814361572266,\n 45.33271026611328\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AutoNHITS-hi-90\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 864,\n \"samples\": [\n 1.4759429693222046,\n 31.27794075012207,\n 46.95732498168945\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 27 + } + ] }, { "cell_type": "code", @@ -3269,10 +32548,26 @@ "print(\"Forecast DataFrame columns:\", fcst_df.columns)" ], "metadata": { - "id": "F9Ix888tQ1Ax" + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "F9Ix888tQ1Ax", + "outputId": "6f6563ee-315e-4050-c989-29b048e698a4" }, - "execution_count": null, - "outputs": [] + "execution_count": 28, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Forecast Data Unique IDs: ['AMD' 'AMZN' 'BABA' 'CCJ' 'DNN' 'GOOGL' 'KAP' 'MSFT' 'MUV2.DE' 'NVDA'\n", + " 'ORCL' 'RGA' 'SREN.SW' 'TCEHY' 'UCO' 'UNG' 'URG' 'USO']\n", + "Forecast DataFrame columns: Index(['unique_id', 'ds', 'AutoNHITS', 'AutoNHITS-lo-90', 'AutoNHITS-lo-80', 'AutoNHITS-hi-80',\n", + " 'AutoNHITS-hi-90'],\n", + " dtype='object')\n" + ] + } + ] }, { "cell_type": "code", @@ -3280,7 +32575,7 @@ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "\n", - "this_ticker = \"AAPL\"\n", + "this_ticker = \"MSFT\"\n", "\n", "# Filter historical data for just this ticker\n", "hist_one = hist[hist['unique_id'] == this_ticker].copy()\n", @@ -3298,15 +32593,15 @@ "plt.plot(df_merge['ds'], df_merge['y'], label='Actual', linewidth=2)\n", "\n", "# Plot AutoAutoformer\n", - "plt.plot(df_merge['ds'], df_merge['AutoAutoformer'],\n", - "\tlabel='AutoAutoformer (median)', linestyle='--')\n", - "plt.fill_between(\n", - "\tdf_merge['ds'],\n", - "\tdf_merge['AutoAutoformer-lo-90'],\n", - "\tdf_merge['AutoAutoformer-hi-90'],\n", - "\talpha=0.2,\n", - "\tlabel='AutoAutoformer (90% CI)'\n", - ")\n", + "#plt.plot(df_merge['ds'], df_merge['AutoAutoformer'],\n", + "#\tlabel='AutoAutoformer (median)', linestyle='--')\n", + "#plt.fill_between(\n", + "#\tdf_merge['ds'],\n", + "#\tdf_merge['AutoAutoformer-lo-90'],\n", + "#\tdf_merge['AutoAutoformer-hi-90'],\n", + "#\talpha=0.2,\n", + "#\tlabel='AutoAutoformer (90% CI)'\n", + "#)\n", "\n", "# Plot AutoNHITS\n", "plt.plot(df_merge['ds'], df_merge['AutoNHITS'],\n", @@ -3328,10 +32623,26 @@ "plt.show()" ], "metadata": { - "id": "blkvyMNgR_4C" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 408 + }, + "id": "blkvyMNgR_4C", + "outputId": "d602bf26-86f0-4627-f0cc-b3ac96977036" }, - "execution_count": null, - "outputs": [] + "execution_count": 30, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] }, { "cell_type": "code", @@ -3349,15 +32660,15 @@ "plt.plot(df_merge_100d['ds'], df_merge_100d['y'], label='Actual', linewidth=2)\n", "\n", "# Plot AutoAutoformer\n", - "plt.plot(df_merge_100d['ds'], df_merge_100d['AutoAutoformer'],\n", - "\tlabel='AutoAutoformer (median)', linestyle='--')\n", - "plt.fill_between(\n", - "\tdf_merge_100d['ds'],\n", - "\tdf_merge_100d['AutoAutoformer-lo-90'],\n", - "\tdf_merge_100d['AutoAutoformer-hi-90'],\n", - "\talpha=0.2,\n", - "\tlabel='AutoAutoformer (90% CI)'\n", - ")\n", + "#plt.plot(df_merge_100d['ds'], df_merge_100d['AutoAutoformer'],\n", + "#\tlabel='AutoAutoformer (median)', linestyle='--')\n", + "#plt.fill_between(\n", + "#\tdf_merge_100d['ds'],\n", + "#\tdf_merge_100d['AutoAutoformer-lo-90'],\n", + "#\tdf_merge_100d['AutoAutoformer-hi-90'],\n", + "#\talpha=0.2,\n", + "#\tlabel='AutoAutoformer (90% CI)'\n", + "#)\n", "\n", "# Plot AutoNHITS\n", "plt.plot(df_merge_100d['ds'], df_merge_100d['AutoNHITS'],\n", @@ -3379,10 +32690,26 @@ "plt.show()" ], "metadata": { - "id": "28gbS9v4SefS" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 408 + }, + "id": "28gbS9v4SefS", + "outputId": "7811cb88-4ce1-42d2-abc3-b7f469d66133" }, - "execution_count": null, - "outputs": [] + "execution_count": 31, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] }, { "cell_type": "code", @@ -3398,13 +32725,13 @@ "\n", "# Plot\n", "plt.figure(figsize=(10, 5), dpi=80)\n", - "plt.plot(df_fcst_only['ds'], df_fcst_only['AutoAutoformer'], label='AutoAutoformer', linestyle='--')\n", - "plt.fill_between(\n", - "\tdf_fcst_only['ds'],\n", - "\tdf_fcst_only['AutoAutoformer-lo-90'],\n", - "\tdf_fcst_only['AutoAutoformer-hi-90'],\n", - "\talpha=0.2, label='AutoAutoformer (90% CI)'\n", - ")\n", + "#plt.plot(df_fcst_only['ds'], df_fcst_only['AutoAutoformer'], label='AutoAutoformer', linestyle='--')\n", + "#plt.fill_between(\n", + "#\tdf_fcst_only['ds'],\n", + "#\tdf_fcst_only['AutoAutoformer-lo-90'],\n", + "#\tdf_fcst_only['AutoAutoformer-hi-90'],\n", + "#\talpha=0.2, label='AutoAutoformer (90% CI)'\n", + "#)\n", "\n", "plt.plot(df_fcst_only['ds'], df_fcst_only['AutoNHITS'], label='AutoNHITS', linestyle='--')\n", "plt.fill_between(\n", @@ -3423,15 +32750,38 @@ "plt.show()" ], "metadata": { - "id": "2VRbj3doTJT_" + "colab": { + "base_uri": "https://localhost:8080/", + "height": 408 + }, + "id": "2VRbj3doTJT_", + "outputId": "d55e3dec-5ff0-47fc-d889-8903972fa7ad" }, - "execution_count": null, - "outputs": [] + "execution_count": 32, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxgAAAGHCAYAAAAz0vTbAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAMTgAADE4Bf3eMIwAAZWlJREFUeJzt3Xl8VNXhNvDnzp49JCSEEJIASdghgEoEFUQ2sWVTrLiBgoraIsaNtrZi2x9qxVSqImopRXlVKHsRjaggWixEZRFFIEAIAUIgIfssdznvH5NcErIQYCYzSZ7vp+lk7jZnxmO8z5xNEkIIEBEREREReYDB1wUgIiIiIqLWgwGDiIiIiIg8hgGDiIiIiIg8hgGDiIiIiIg8hgGDiIiIiIg8hgGDiIiIiIg8hgGDiIiIiIg8hgGDiIhapK+++grBwcFQVfWyr/Hss89i+PDhnitUI+bNm4frrruuWV6LiMiXGDCIiJrZ8OHDYbFYEBwcrP/ccMMNvi7WZdm6dSskSYKiKI0eN336dJjNZgQHByMkJATJycl48cUXr+i1r7/+epSXl8NoNF7RdS4mPz8fDz30EOLi4hAQEIC4uDjMmjULp0+f9urrEhG1VAwYREQ+8PTTT6O8vFz/2bZt22Vdx+Vyebhk3vOrX/0K5eXlKC0txaJFi/D888/jX//612VdS5ZlzxauAfn5+bjmmmtw/PhxfP755ygvL8cXX3yB3NxcDB48mCGDiKgeDBhERH7E4XDgmWeeQZcuXdCuXTtcf/312LFjh77/X//6F+Li4vDGG28gMTERkZGRAIATJ07gzjvvRKdOnRAdHY2pU6fizJkz+nl2ux3PPvssUlJSEBISgq5du2LZsmUAgH379uGmm25CVFQUwsLCMHjwYHzxxRf6ucXFxbjjjjvQvn17hIaGIiUlBatWrUJubi5uvvlmAEB4eDiCg4Mxf/78i75HSZIwatQo9O7dG9999x0A4Oeff8YvfvELdOjQAZ06dcIjjzyCiooK/ZzExEQ899xzGDt2LEJCQvDKK6/UaT1RVRUvv/wyUlJSEBYWhquuugoff/xxrdd+7733kJycjJCQEEyePBnFxcWNlvWPf/wjzGYz1q1bh+7du8NoNCIlJQVr166F0WjEc889V+t9vfbaaxg6dCiCg4PRt29ffP311/Ved8mSJejWrRuEEPo2p9OJ9u3bY926dRf9DImI/BkDBhGRH3nqqaewadMmbN68GadPn8bEiRMxcuRI5OXl6cfk5+djz5492LdvH06fPg2n04mbbroJsbGxOHjwII4cOQKTyYQ777xTP+eBBx7Ap59+ivXr16O0tBRff/01+vbtq++fO3cucnNzUVBQgJtvvhmTJk1CQUEBAODll19GWVkZjh49ipKSEmzevBm9evVCfHy8fgNfXFyM8vJy/O53v7voe9Q0DZ9++in27duHa665BmfPnsX111+Pm266Cbm5udizZw8OHjyIOXPm1DrvrbfewnPPPYfS0lLMnj27znVfffVVLFy4EB9++CEKCwvx5JNPYsKECfj+++8BANu3b8f999+PjIwMnDt3Dvfddx+WLFnSaFk3btyIqVOnwmKx1NputVpxxx13YOPGjbW2/+Mf/8CyZctQXFyMm266CXfddVe91506dSoKCwvx2Wef6dtWrVoFm82GX/7yl42WiYjI7wkiImpWw4YNE1arVYSFhek/7777rlBVVQQEBIh169bVOr5fv37ihRdeEEIIsXTpUmE0GkVFRYW+f/Xq1SI2NlZomqZvy8vLEwDE8ePHxZkzZwQAkZWV1eQyhoWFiQ0bNgghhJg3b54YPHiw2Llzp1BVtdZxW7ZsEQCELMuNXm/atGnCbDaLsLAwERERIXr37i0WLFgghBDilVdeEWlpabWO//rrr4XFYhGKogghhEhISBBz585t9LVTUlLEq6++WuuY8ePHi4ceekgIIcTMmTPF5MmTa+2fPHmyGDZsWIPlNplMYtGiRfXuW7RokTCbzfpzAGLZsmX683379gkAIj8/XwghxHPPPSeGDh2q7589e7a47bbb9OfXX3+9eO655xosCxFRS2HyZbghImqrnnzySfzlL3+pta2goAB2ux3dunWrtT0pKQm5ubn68+joaAQGBurPDx06hNOnT6Ndu3a1zrNarcjNzYXZbAYAdO/evd6y5Obm4umnn8b27dtRXFwMg8GA0tJSvQXjqaeegqqqmDlzJnJzczFy5Ei88MILSEpKuqT3fPvtt2P58uV1th86dAjfffcdwsPD9W1CCEiShPz8fHTq1AkA0KVLl0avf/z48Xo/u/379wMA8vLy0Lt371r7u3TpgsLCwgavGRUVhRMnTtS7Ly8vD9HR0bW2xcbG6r8HBQUBAMrKytChQ4c65z/88MPo378/Tp8+jaKiImzfvh3vv/9+I++QiKhlYBcpIiI/0b59e9hsNhw+fLjW9sOHDyM+Pl5/bjDU/tMdExODhIQEFBcX1/pxOBwYMmQIEhMTAQAHDx6s93UfeOABaJqGrKwslJaW4ty5cwgNDdXHBwQGBuJPf/oT9uzZg8OHD8NkMmHatGn1luVyxMTE4LrrrqtV9pKSEjgcDj1cNOW1Onfu3OhnFxcXh5ycnFr7L3x+oVtuuQUrVqyoM5je5XJhxYoVuOWWWy7y7hrWo0cPDB06FEuXLsVbb72FW265BXFxcZd9PSIif8GAQUTkJwwGA+6//3788Y9/xJEjR+ByufC3v/0N2dnZDfblB4DJkydDlmX84Q9/QElJCQB3a8iKFSsAuL+Fnzp1Kh599FEcOHAAAHDq1Cl9bEJJSQmCg4PRrl07VFRU4Le//S3Ky8v162/YsAE//vgjFEVBYGAgAgICYDK5G8BjYmIAQL/u5bjvvvuwa9cuLFq0CJWVlRBC4Pjx45c82HnmzJlYsGABdu/eDUVRsHLlSmzatAkzZ84EAEybNg0bNmzARx99BFVV8dFHH2HTpk2NXvP555+H3W7HrbfeioMHD0LTNBw6dAi33norXC4Xnn/++ct92wCARx55BG+//TbeffddPPTQQ1d0LSIif8GAQUTkRxYsWIDRo0fjxhtvRHR0NFavXo3Nmzejc+fODZ4TEhKCb775Brm5uejbty9CQ0MxZMiQWlPfvvPOOxg2bBhuvvlmBAcHY+jQofjxxx8BAH//+9+xZ88etGvXDr169UKnTp1qfZN+9OhRTJw4EeHh4ejUqRNOnz6tD45OSUnBb37zG9x4440IDw+/rLUt4uPj8c0332Dz5s3o1q0bwsPDMWbMGPzwww+XdJ309HQ8+uijuO222xAREYGXXnoJa9aswVVXXQUAuO666/D222/jscceQ3h4OJYsWYL777+/0WvGxsZi586diImJwfDhwxEYGIhhw4ahY8eO+vYrMXHiRDgcDoSGhmLs2LFXdC0iIn8hCVFjjjwiIiJqVoMHD8b48ePx+9//3tdFISLyCA7yJiIi8pFNmzZh3759+Oijj3xdFCIij2HAICIi8oHOnTvDbrdj8eLFaN++va+LQ0TkMewiRUREREREHsNB3kRERERE5DEMGERERERE5DGtagyG1WpFVFSUr4vRZE6nE1ar1dfFoBaAdYX8HesoNRXrCvk71tGLO3PmDJxOZ4P7W1XAiIqKQl5enq+L0WSZmZkYM2aMr4tBLQDrCvk71lFqKtYV8nesoxdXc62k+rCLFBEREREReQwDBhEREREReUyr6iJ1MZqmwd9m5VVV1ddFoMsgSRIMBuZzIiIiogu1iYDhcrmQm5sLWZZ9XZRaoqKicPDgQV8Xgy6T2WxGfHw8LBaLr4tCRERE5DfaRMDIzc1FSEgIIiMjIUmSr4ujKy0tRWhoqK+LQZdBCIHCwkLk5uYiKSnJ18UhIiIi8hutPmBomgZZlhEZGQmTyb/ersFggNFo9HUx6DJFRkaiqKgImqaxuxQRERFRlVZ/V1Q95sKfWi6odaiuU/42roeIiIjIl1p9wCAiIiIioubDgEFERERERB7TbAFj6dKlkCQJ69atAwDcd999SElJQf/+/TF06FBkZWXpx1ZWVmLq1KlISkpCSkoKVq1a1VzFbFZlZWUIDg7GjBkzmnR8Tk4OFi9e3OTrS5KEkSNH1trWvn175OTkAACmT5+OV199tdb+efPmYc6cOQCArVu3IjU1FSdPnkRqaipSU1ORlJSEgIAA/fnjjz8OWZYxe/Zs9O7dG/3790evXr2QkZHR5HISERERUevRLKOec3Jy8M477yAtLU3fNmnSJLzzzjswmUzYuHEjpkyZot/4LliwAFarFdnZ2Th69CgGDx6MG2+8EZGRkc1R3Gazdu1aDBo0CGvWrMHChQsRHBzc6PHVAWPWrFlNfo3Dhw9f8ZL3sbGx2L17NwB36JgzZ47+HHD/8zp58iT27NkDk8kEh8OBw4cPX/brEREREVHL5fWAoWkaZs6ciddeew1PPPGEvn38+PH672lpaThx4gQURYHJZMKKFSuwZMkSAECXLl0wfPhwrF27FjNnzvRImUZlfFnv9nfuvQqJ7YOQc7YCD7z7bb3HbE4fBgD48uAZ/GXjTw3ub4r33nsP8+bNw1tvvYUVK1ZgxowZ+Ne//oV169bpLT0bN27EggULsHXrVsyaNQvHjh1Damoq4uPjsWHDBnz77beYPXs2ysvLYbPZ8Le//Q1Dhw7VX+NPf/oT5s6di9GjR3ttoHteXh6io6P1WbpsNht69+7tldciIiIiIv/m9YCRkZGBoUOHYtCgQQ0es3DhQowbN06/Qc3NzUVCQoK+PzExEbm5ufVeu2ZXnOLiYmRmZtY5LioqCqWlpfpUoqqm1VuOsrIylJgVlJXZGzympKQEAFBRUVHvMdX7L+bnn3/GiRMnkJaWhpKSErz66qu47bbbUFlZCVmWa72OoigoKSnBggUL8Nvf/hZffukOSGfOnMGkSZOwcOFC3HTTTfjmm28wefJkfP/993pryA033IA333wT//jHP3D77bdDCIHS0lKUlJTA5XLhr3/9qx7mAKCgoACTJ09GSUkJysvLoapqrfdU37Y77rgDt912Gz7//HOkpaVh2LBhmDhxYqufglfTNNjtdnz22Wdefy2Hw1Fv3SbyF6yj1FSsK+Tv/K2Oiqr/ExCQIKElTIzq1YCxb98+rF69Gtu2bWvwmOXLl2PlypWNHtOQ9PR0pKen68/j4uLqdAVSVRUHDx5EaGiofsP7xZM3NnrdvmFh+OLJmEaPGTcgDOMGJF5ymautXLkSd9xxByIiIjBlyhSkp6fj5MmTCAwMhNlsRlhYGAAgKCgIJpMJYWFhCA4OhtFo1Pf98MMPMBqNmDx5MgBg7NixiImJwdGjR3HdddcBAMLCwrBgwQLcfffdmDZtGiRJQmhoKMLCwmCxWPD000/rYy4A9xiM4uLiel8PQL3b0tLScOTIEXz99dfYvn07XnrpJaxevRofffTRZX8+LYGqqggICMDIkSO9HqautJsbkbexjlJTsa6Qv2uOOqpqArKqQVY1KGrV75qAomqQVaHvv3Am/BCbCYntg7xaNk/wasD46quvkJOTg+TkZABAfn4+HnzwQZw6dQoPP/wwVqxYgeeffx6ff/45OnTooJ8XHx+PY8eOoWPHjgDcYw9Gjx7tzaI2K1mW8d5778FkMmH16tUA3APblyxZgtTUVKiqqh/rcDgu6dr1dYMaMmQI+vXrhzfffPPKCt4Ii8WCESNGYMSIEZg5cyY6duyIoqIiREREeO01iYiIiPyJpgnIWo3QoAooVc9dNcJEa19Cy6sB4+GHH8bDDz+sPx8+fDjmzJmDiRMnYuXKlXj22Wfx2WefIT4+vtZ5U6ZMweLFi5GWloajR49i69atWLRokTeL2qw2bNiArl27IjMzU28J2L9/P4YPH44JEyZg7969sNvtMJvNeP/99/XzQkNDa3VN6t69OzRNw+bNmzFq1Chs374d+fn5SE1NrfOa8+fPx4gRI+B0Oj3+frZt24bk5GQ9EH733XeIiIhAeHi4x1+LiIiIqLkJIaBookZQ0KBoAi5Fq9quwaVqaKCHfZvTLLNI1eeuu+5CTEwMJkyYoG/7/PPPERkZiaeeegr3338/unXrBqPRiNdffx3t27f3VVE9bsmSJbjrrrtqbevZsyc6deqEM2fOYNy4cejTpw86duyIoUOHYseOHQCAfv36oXfv3ujTpw+6du2KDRs2YM2aNZg9ezaeeOIJ2Gw2rFq1qt7ZqHr16oVbbrkF//znPz3+fnJzczFnzhw4HA5YLBYEBwdj/fr1+pgXIiIiIn+maQJORYNTUaEJgRPFdr27kqxqUDXR6lsdPEkSovV8XHFxccjLy6u1rXoMRkpKit8NOi4pKak1loFaluasW+yzTP6OdZSainWFfMlVFSLcYUKDU1bhUjXIyvnb4WN7tyOh3xAflrJh/jIGo7577pp81oJBRERERHSpFFVDhUtFhVNBhVOBUznfL6l6KKoEqfZzCVBUtkI0FwYMIiIiIvJbqiZQXhUmKpwKHHLDAx3OBwgmCV9iwCAiIiIiv6FqAhWu84HC7uLI6ZaGAYOIiIiIfEbTA4WKcqcCh6yyK1MLx4BBRERERM1G0wQqZfcYinKnAruLgaK1aZMB44e8kosfdJn6xnFWKCIiImo7qteIULWqx6rF5VRNQBXutSP0fQ2sUE2tS5sMGERERERUv+pF5GqGgurAcGFYUDQuLkd1cSU0HyorK0NwcDBmzJjR5HNycnKwePHiJh8vSRJGjhxZa1v79u2Rk5MDAJg+fTpeffXVWvvnzZuHOXPmAAC2bt2K1NRUnDx5EqmpqUhNTUVSUhICAgL0548//jhkWcbs2bPRu3dv9O/fH7169UJGRkaD5Xr99dfx4osvAgA0TcOTTz6JPn36oEePHpgxYwZcLpd+7MaNG9GjRw8kJydj8uTJKC0tBQAcPXoUgwcPRu/evTF//nz9+P3792P8+PGNfi7l5eWYM2cOkpKS0L9/fwwYMABPPvkkZFnW3zMAOBwODBo0qNYK6kRERC2ZEAKlDhkniu3IOVuB7IJyHMgvw08nS/FDXgn2nyrDodPlOHKmArmFlThxzo7TJU6cLXOhuFJGmcPdrcmlMFxQ/RgwfGjt2rUYNGgQ1qxZg/Ly8iadc6kBAwAOHz6MzMzMyymiLjY2Frt378bu3bvxj3/8A927d9ef/+1vf8PChQtx8uRJ7NmzB3v27MH333/f4EJKdrsdGRkZ+M1vfgPAvbL5999/j++//x779++HwWDAwoULAbiDwIwZM7Bu3TocOnQIsbGx+POf/wwAeOONN/Doo49i7969WLZsGcrKyiCEwJw5c/Tz6yOEwC9+8QtUVFTghx9+wJ49e7Bz504kJSXB6XTWOtZms+Gee+7BK6+8ckWfHxERka/ZXSpOFtux/1QZjp2tRFG5q1ZYUDX2WyLPYMDwoffeew/PPPMMbrjhBqxYsULf/q9//QsTJ07Un2/cuBHDhw8HAMyaNQsHDhxAamqq/i39t99+iyFDhqBfv3645ppr8N///rfW6/zpT3/C3Llz4c1F2/Py8hAdHQ2Tyd3rzmazoXfv3vUeu2rVKgwdOhRBQe6VKPfs2YORI0fCYrFAkiTcfPPNeO+99wAAH3/8MQYMGIAePXoAAB555BF88MEHAACz2YzKykrIsgxN02AwGLB48WKMHj0aXbp0abCsX3zxBbKzs/HGG28gICBAv9asWbMQHBxc5/g77rgD77zzjlc/PyIiIm9wKRoKyhw4eLoM2QXlKCx3MUiQ1zFg+MhPP/2EEydOYMyYMZgxYwaWLFnSpPMWL16stx5s2LABLpcLkydPxnPPPYe9e/ciIyMDt956a60WkV/+8pcIDg7G+++/X+81X375Zb27U2pq6iW3kADAAw88gP/85z/o2bMnHnjgAXz44YdQVbXeY7du3YrBgwfrzwcNGoQNGzagtLQUsixj5cqVeheu3NxcJCQk6McmJibi1KlTUBQFs2fPxtq1a3HttdfiySefRElJCVatWqV372rId999h0GDBsFisTTpvcXExCAgIAA//vhjk44nIiLyJVUTKKpw4cgZd9en0yVOOBtZnI7I0xgwfGTJkiW44447YDQaMW7cOBw9ehT79++/5OscOHAABoNB74503XXXoUOHDti9e3et41566SX84Q9/qDW2odpTTz2ld3favXs3Zs2adcnl6N27Nw4fPow33ngDCQkJeO655xocB5GXl4cOHTroz6dPn46xY8di2LBhGDZsGFJSUvSWkMZ07NgRmZmZ2LVrFx566CE89thjeOWVV7BlyxbceuutuPPOO3Hs2LFLfi/1iYmJQV5enkeuRURE5CmaJlDhVHC23InjRZU4dLoM+0+V4sQ5Oyqc9X/RR+RtnEXKB2RZxnvvvQeTyYTVq1cDACorK7FkyRIsWLAAJpOp1rf/Dofjkq4vSVKdbdVdqN58880rK3wjLBYLRowYgREjRmDmzJno2LEjioqKEBERUeu4wMDAWu9JkiTMmzcP8+bNAwB8+OGHeveq+Ph4bN68WT82JycHHTt2rBNAVq9ejW7duiE1NRU9e/bEzp078e233+KPf/wjli1bVuvYQYMG4bXXXoPL5WpyK4bD4dC7UxERETU3TRPQhIBdVuGQNThkFXZZZcsE+aU2GTB8vVbFhg0b0LVrV2RmZiIszF2W/fv3Y/jw4XjhhReQlJSEvXv3wm63w2w21+raFBoaWmtGo+7du0PTNGzevBmjRo3C9u3bkZ+fr8+CVNP8+fMxYsSIOgOZPWHbtm1ITk5Gx44dAbi7IUVERCA8PLzOsf369cOBAwf05w6HA3a7He3atcPZs2fx4osv6gO5x44di0cffRQ///wzevTogUWLFuGOO+6odb3i4mIsXLhQH8heWVkJg8EAg8FQ7+D5ESNGoEuXLpg9ezZeffVV2Gw2KIqCf/7zn7jzzjvrHK+qKg4fPoy+ffte9udDRERUTdUEHLLq/lE0OGUVmnBPQqIJQEBA09yPQoBrRlCL0yYDhq8tWbIEd911V61tPXv2RKdOnfCf//wHkydPxrhx49CnTx907NgRQ4cOxY4dOwC4b8579+6NPn36oGvXrtiwYQPWrFmD2bNn44knnoDNZsOqVavqHazcq1cv3HLLLfjnP//p8feUm5uLOXPmwOFwwGKxIDg4GOvXr4fBULcX3m233Yb7778ff/nLXwAAJSUlGD58OAwGAzRNw2OPPYZf/vKXAICQkBD84x//wMSJE6EoCvr06VOnReKZZ57BvHnz9BaGZ599FldddRUsFku9Y1skScJHH32E3//+9+jduzcCAgKgaRpuueUW2Gy2Osd//fXXuPrqq+u0xBARETVG0wScilYVJM63PCgqEwO1bpJoRVPjxMXF1eknr6oqDh48iJSUFBiNRh+VrH4lJSV6C0Zbc8stt2DevHm4+uqrfV2Ui7rjjjswY8YMjBo1qtb25qxbmZmZDU77S+QPWEepqVpyXalesVqpsVK1rJ5fnbp6ATpF06Cogi0PLdSxvduR0G+Ir4tRrxCbCYntg3xdjHrvuWtiCwb5xN///vfLGtTe3BwOB4YNG1YnXBARUetQvWq1ogmoqoCs1QgKNVa0llUuKkfUVK0+YNQ34Jl8r1u3bujWrZuvi3FRNpsNDz/8cKPHsI4REfknl6LBobgHQle3MNRsaVA1tjIQeUObCBiSJEGWZb/rIkUtmyzLev0iIiLfcSqqPtbBKWtwVo13YHgg8o02ETDCw8Nx+vRpdOrUya9uBjVNa3AxOvJvQgicPn0a4eHhflWniIhaO4eswu5SUVn16JBVBgkiP9PqAwYAREdH49ixYzh06JCvi1KL3W7n2gotmM1mQ3R0tK+LQUTUasmqhkpXVaBwKbDLKsdBELUAbSJgGAwGdOnSBZqmwZ8mzfrss88wcuRIXxeDLoMkSfVOwUtERJdHCAGHrKHCpaDSqaLCpXA6V6IWqk0EjGr+eEPIcSFERNQWaZpwhwmXigqn+9GPvgMkoivQpgIGERERNb+aC86pmkB2QRkHYRO1YgwYRERE5BFC1Fi5usZsTi7l/MAJTQjYXRxIQdSaMWAQERHRRdVckE7/XXWvK6FUrS/hUtgqQUQMGERERG1WrYXnaqxiLasaFFVA0c4HCQYHImoqBgwiIqJWRNPcQcEdEESdlge5OjgwNBCRlzTbtEpLly6FJElYt24dAKCgoABjx45FcnIy+vTpg23btunHNraPiIiIapNVDWfLncguKMePJ0txML8cR85UILewEieLHSgodaKo3IVSuwK7S4WsMFwQkfc0SwtGTk4O3nnnHaSlpenb5s6di7S0NHzyySfIysrCpEmTcPToUZjN5kb3ERERkTtUlNplFNtlVDpVXxeHiEjn9RYMTdMwc+ZMvPbaa7Barfr2lStXYtasWQCAq6++GrGxsfjyyy8vuo+IiKitUlQNRRUuHDlTjgP5ZThZ7GC4ICK/4/UWjIyMDAwdOhSDBg3StxUWFkKWZcTExOjbEhMTkZub2+i++q6dkZGhPy8uLkZmZqaX3onnORyOFlVe8h3WFfJ3rKPeIar+T8DdpUlrBf2aVNmFY3u3+7oYRA3y5zpqkCQcMEi+LsZFeTVg7Nu3D6tXr/baGIr09HSkp6frz+Pi4jBmzBivvJY3ZGZmtqjyku+wrpC/Yx29ck5FhcOlwS6r7h+Xe1G61ubY3u1I6DfE18UgapA/19EQmwmJ7YN8XYyL8mrA+Oqrr5CTk4Pk5GQAQH5+Ph588EE8//zzMJlMyM/P11sqcnJyEB8fj8jIyAb3ERERtURCCH32Jlk5P8uTrGpwqe6F6TSuPUdErYRXA8bDDz+Mhx9+WH8+fPhwzJkzBxMnTsSOHTuwePFizJs3D1lZWThx4gSGDRsGAJgyZUqD+4iIiPyJpgm4VE1fO0JWNciagKxoUDQNLkW0ypYIIqKG+GwdjJdeegn33HMPkpOTYbFYsHz5cn2WqMb2ERERNUbTBATcrQYC7nEL1UMXqscx1NwvtPNjHKq3a1XjHqr+p19DVF2/euVqWdXY8kBEdIFmDRhbt27Vf+/QoQM+/fTTeo9rbB8REbU9sqrBqWhwyqr7UdHgUtyrTleHAwBc24GIyA9wJW8iIvIbqiZQ7lRqBAn3I1sJiIhaDgYMIiLyGSEEKlwqKpwKyhwKHLLKVggiohaOAYOIiJqV3aWi3Kmg3KmgwqkwUBARtTIMGERE5DWKWntdhwpn61zbgYiIzmPAICIij5CrwoTDpeqhQlYYJoiI2hoGDCIiajKlamE4WRFwqipkVcCluNd/+PlUma+LR0REfoABg4iojdE0AU0IqFVrO2hV6z5oQkBogCpE1TZxfrXpqqlhGxov4V5RgoiIiAGDiMjvqZqAQ1bPBwFN6L9XLwqnCuFeYE4PDOdDgyYENK32gnNERETewoBBROSHFFVDqUNBqV1GOWdaIiKiFoQBg4jIT8iqhlK7jBK7jEoX14MgIqKWiQGDiMiHXIqGEruMUoeMSqfq6+IQERFdMQYMIiIfcMgqTpc6UGpXfF0UIiIij2LAICJqRgwWRETU2jFgEBE1AwYLIiJqKxgwiIi8yCGrKCh1osQu+7ooREREzYIBg4jICxgsiIiorWLAICLyIIes4kyZE8WVDBZERNQ2MWAQEXmAUznfYsH1K4iIqC1jwCAiugIuRUNBmQPFlQwWREREAAMGEdFlkVUNBWVOnKtwMVgQERHVwIBBRHQJFFXDmXInCssZLIiIiOrDgEFE1ASyquFMmRNFbLEgIiJqFAMGEVEjnMr5WaEYLIiIiC6OAYOIqB7V081yVigiIqJLw4BBRFRDpUtBQakTZQ7F10UhIiJqkRgwiKjNU1QNlbKKs2VOVDhVXxeHiIioRWPAIKI2waVocKma+7H6R1XhVDRomq9LR0RE1HowYBBRqyCEgLPeEOF+5DgKIiKi5mHw9guMHj0a/fr1Q2pqKq6//nrs2rULALBp0yYMHDgQqamp6NOnD5YtW6afU1BQgLFjxyI5ORl9+vTBtm3bvF1MImoBVE3A7lJRUimjoMyBvHOVOHKmHD/nl2LfiVIcOl2OY2crcarYgcJyF8ocCpwywwUREVFz8noLxsqVKxEeHg4AWLt2LaZPn47du3fj7rvvxtatW9GvXz/k5OSgR48emDx5MkJCQjB37lykpaXhk08+QVZWFiZNmoSjR4/CbDZ7u7hE5GOKqsGhsCsTERFRS+X1gFEdLgCgpKQEkiQBACRJQnFxMQCgtLQUkZGRsFqtANyhJDs7GwBw9dVXIzY2Fl9++SVGjhzp7eISkY9UOBUUlrtQ6uC0sERERC1Zs4zBuPfee7FlyxYA7q5RkiRhxYoVmDx5MoKCgnDu3DmsWbMGFosFhYWFkGUZMTEx+vmJiYnIzc2tc92MjAxkZGToz4uLi5GZmen9N+QhDoejRZWXfKc11xVNCGjCPYaCWi5VduHY3u2+Lga1AKwr5O/8uY4aJAkHDJKvi3FRkmjG/6ovW7YMK1aswIYNGzBy5Ej86U9/wg033ICsrCyMHz8eP/zwAyRJQmxsLJxOp37e7bffjrFjx+L+++9v9PpxcXHIy8vz9tvwmMzMTIwZM8bXxaAWoLXVFVUTKKpwobDCCVlhsGgNju3djoR+Q3xdDGoBWFfI3/lzHQ2xmZDYPsjXxbjoPbfXB3nXNG3aNGzZsgXfffcdTp48iRtuuAGAuxtUXFwcdu3ahcjISJhMJuTn5+vn5eTkID4+vjmLSkRe4FRUnCy2Y/+pUuSXOBguiIiIWiGvBozi4mKcPHlSf75u3TpERkYiMTERp06dwv79+wEA2dnZOHz4MLp37w4AmDJlChYvXgwAyMrKwokTJzBs2DBvFpWIvKjCqeBYYQUO5pejsNzFMRZEREStmFfHYJSUlGDKlCmw2+0wGAyIiorCxo0b0aFDB7z99tu4/fbbYTAYoGkaXn/9db2V4qWXXsI999yD5ORkWCwWLF++nDNIEbUwQgiU2hWcKXfC7uLq2ERERG2FVwNGQkICdu7cWe++qVOnYurUqfXu69ChAz799FNvFo2IvETTBIoqXSgsd8GlcF5ZIiKitoYreRORR8iqhsJy98BtrldBRETUdjFgENEVccgqzpQ5UWLn+hVERETEgEFEl8khqygodQcLIiIiomoMGER0SRgsiIiIqDEMGETUJAwWRERE1BQMGETUKAYLIiIiuhQMGERUL7tLRUGZA6V2xddFISIiohaEAYOIdEIIFFfKKKxwcXE8IiIiuiwMGEQEl6KhqMKFogoXVI1zzRIREdHlY8AgasNKHTKKyl0oc7AbFBEREXkGAwZRGyKEgKwKlNhlFFW44FK45DYRERF5FgMGUSugqBoUTUBWNSiqgKxpUDXh/r3GPo15goiIiLyMAYPIT6na+XCgCeBsubNWYFA1DbIqoGoCgsMmiIiIyE8wYBD5iN2lotKluIOEJqCo7sCgaO5WiJqhQdU0nCp2+K6wRERERE3EgEHUjJyKipJKGcV2GU6Z/ZWIiIio9WHAIPIyRdVQbJdRXClzbQkiIiJq9RgwiLxA0wRKHe5QUe5UOEaCiIiI2gwGDCIPKncqOFfhQoldZqggIiKiNokBg+gKuRQNxZUunKuUua4EERERtXkMGESXQQiBUruCokoXyrkKNhEREZGOAYPoEthdKs5VulBcKUPV2AeKiIiI6EIMGEQX4VI0FNtdKKmU4eDUskRERESNYsAgqoeiaiixu9erqHRyalkiIiKipmLAIKrCqWWJiIiIrhwDBrVpQgiUORWUVMqcWpaIiIjIAxgwqE2qHqxdYpehqEwVRERERJ7CgEFthqxq7lDBwdpEREREXsOAQa2apgmU2GWcq3ShgoO1iYiIiLzO0BwvMnr0aPTr1w+pqam4/vrrsWvXLgCA0+nEr3/9ayQnJ6Nv3764++679XMOHTqEIUOGICUlBVdffTV+/PHH5igqtVCyqqHCqeBchQunSx04XlSJ7IJy/HSqFHnn7AwXRERERM2kWVowVq5cifDwcADA2rVrMX36dOzZswdz586FJEk4ePAgJElCfn6+fs5DDz2EBx98ENOnT8eqVaswffp0ZGVlNUdxyU+5FA0uVYNTVuFSNfdzRYNT0Tg4m4iIiMhPNEvAqA4XAFBSUgJJklBRUYElS5YgLy8PkiQBAGJiYgAABQUF+Pbbb/Hpp58CAG699Vb8+te/RnZ2NpKSkpqjyOQDQgg4q0JEdXhw1XjOEEFERETk/5ptDMa9996LLVu2AAA2bdqEw4cPIyIiAvPnz8dnn32GgIAAzJs3DzfddBOOHz+Ojh07wmRyF0+SJMTHxyM3N7dWwMjIyEBGRob+vLi4GJmZmc31lq6Yw+FoUeX1FAFUhQUBIdzPIQABJoiGqLILx/Zu93UxiBrEOkpNxbpC/s6f66hBknDAIPm6GBfVbAHj3XffBQAsW7YMzzzzDP7yl7/g2LFj6NWrF1588UXs2rULo0aNuqSxFunp6UhPT9efx8XFYcyYMR4vu7dkZma2qPJeDiEEiivdg6ydisYpYS/Tsb3bkdBviK+LQdQg1lFqKtYV8nf+XEdDbCYktg/ydTEuqlkGedc0bdo0bNmyBZ06dYLBYMBdd90FABgwYAC6dOmCH374AZ07d8apU6egKAoA901qbm4u4uPjm7u4dJlUTaCgzIGf88v0QdYMF0REREStn9cDRnFxMU6ePKk/X7duHSIjIxEdHY2bbrpJ7yJ09OhRHD16FD179kR0dDQGDhyI5cuXAwBWr16NuLg4jr9oAVyKhlMldvycX4rTJU6GCiIiIqI2xutdpEpKSjBlyhTY7XYYDAZERUVh48aNkCQJixcvxowZM/DMM8/AYDDgrbfeQqdOnQAAb731FqZPn4758+cjNDQUS5cu9XZR6QrYXSrOljtRYpc5GJuIiIioDfN6wEhISMDOnTvr3de1a1d94PeFunfvjm+++cabRaMrJIRAmVPB2TIn15kgIiIiIgBcyZsuQ7lTQYldRkmlDFVjcwURERERnceAQU1S4VRQbJdRapc5roKIiIiIGsSAQQ2qqG6pYKggIiIioiZiwKBaNE2gqNKFwnIXXIrm6+IQERERUQvDgEEAAEXVUFjhDhYcV0FEREREl4sBo41zyO7pZYsrOb0sEREREV05Bow2qtKl4EyZE6V2xddFISIiIqJWhAGjjSlzyCgoc6KS61YQERERkRcwYLQRLkXDqRI7WyyIiIiIyKsYMFo5IQTOlDtRUOrkGAsiIiIi8joGjFas3KngZLEdTpnTzRIRERFR82DAaIVkVUN+iQPFlbKvi0JEREREbQwDRisihEBhhQunSx3Q2GhBRERERD7AgNHCKaoGRRNwqRoKSh2wu5gsiIiIiMh3GDD8jBACsiqgagKypkFVqx41AUUVUDShhwpVExy4TURERER+hQGjGaiagKzWDAnnA8Kxwoqq0ODezq5NRERERNSSMWB4mENWcarEAVXT9JaIhloZNCG4LgURERERtSoMGB6magLlDoYGIiIiImqbDL4uABERERERtR4MGERERERE5DFNDhiyLOPw4cPeLAsREREREbVwTQoYW7duRUJCAm688UYAQFZWFu6++26vFoyIiIiIiFqeJgWMuXPn4quvvkJkZCQA4Oqrr8auXbu8WjAiIiIiImp5mhQwVFVFt27dam2zWCxeKRAREREREbVcTQoYNpsN5eXlkCQJAPDDDz8gICDAqwUjIiIiIqKWp0nrYPzhD3/A6NGjceLECdx999347LPP8P7773u7bERERERE1MI0KWCMHj0aycnJ+OSTTyCEwPPPP1+nyxQREREREVGTV/Lu0qULHn74YW+WhYiIiIiIWrgmjcHo0qULunbtWuenKUaPHo1+/fohNTUV119/fZ3Zp5YuXQpJkrBu3Tp9W0FBAcaOHYvk5GT06dMH27Zta/o7IiIiIiIin2lSC8bGjRv13x0OB9577z19ytqLWblyJcLDwwEAa9euxfTp07Fnzx4AQE5ODt555x2kpaXVOmfu3LlIS0vDJ598gqysLEyaNAlHjx6F2Wxu0msSEREREZFvNKkFo3fv3vrPoEGD8Oqrr+Ljjz9u0gtUhwsAKCkp0Wei0jQNM2fOxGuvvQar1VrrnJUrV2LWrFkA3GtuxMbG4ssvv2zS6xERERERke80eQxGTYWFhcjPz2/y8ffeey+2bNkCANi0aRMAICMjA0OHDsWgQYPqXFuWZcTExOjbEhMTkZubW+e6GRkZyMjI0J8XFxcjMzPzkt6LpwkBKJrWpGNV2YVje7d7uUTUGrCukL9jHaWmYl0hf+fPddQgSThgkHxdjItqUsAYMGCA3vKgqiqOHTuGp59+uskv8u677wIAli1bhmeeeQZ//etfsXr16iseW5Geno709HT9eVxcHMaMGXNF17xSFU4FR85UNOnYY3u3I6HfEC+XiFoD1hXyd6yj1FSsK+Tv/LmOhthMSGwf5OtiXFSTAsarr756/gSTCV27dkXHjh0v+cWmTZuGWbNmYf369cjJyUFycjIAID8/Hw8++CBOnTqFhx9+GCaTCfn5+XorRk5ODuLj4y/59YiIiIiIqHk1KWAMGzbssi5eXFyMyspKxMbGAgDWrVuHyMhI/O53v8Pvf/97/bjhw4djzpw5mDhxIgBgypQpWLx4MebNm4esrCycOHHisstARERE1BSKqsGpaHDIKpyKhoggC2xmI1yKhl3Hz8Epa3Ao6vlHRcNtA+NgMxtxrLAC7+/MhVPR4Kw636VoCLaZ8OLkfgCAnUeLsGnfKZiNEkwGg/vRaEDndgGYNCAOALAnrxi5hZWwmg2wmYywmg2wmoyIDrEiNjwAAFDuVGAySLCaDHoPEyJ/0mjAmDRpUqMVd82aNY1evKSkBFOmTIHdbofBYEBUVBQ2btx40X8ZXnrpJdxzzz1ITk6GxWLB8uXLOYMUERERNcqlaDhX6YJBkhAV4p5A5uN9p3C4oByVslorIExIjcX1yVEAgAff+xYFZU6omqh1vb9M7IP+ceFwyCr+8tH+el9zXJ+OsJmNKHcq2H64EBaTATaTAVazERajAYp6/pqFFU7sO1ECRRO1XqtfXJgeML4+dBaf/Fh3nOstfTti1jD3Isf/99FP2HeyFBIAm9mIALMRARYj7hocr7+nZdtzYDEZEBFkQWSQxf0YbEWIzQQDQwl5WaMBo7pF4XIlJCRg586dFz1u69attZ536NABn3766RW9NhEREfmWEAKKJvRv9cMC3F8WVroUHDpdDmdVK0D1jb+iCkwc0AkAkF1Qjs/2n4YmBDRNQBOAKgTaB1txT1oCAODLg2fw6Y/5OFfpQlGlCxVOFQAwsmc0HrspBYC71eDbY+cAwP2tf1WLQKVL1cvZvUMI4iMCYa1qMbCZ3Me0D3KHlECLEY+PTIHVZIDNbITVZNB/D7W5b6V6dgzF+keHNnrzfnOfjri5j7uLuaoJKJpWK4AAwK0D43BDSpT7s5E1/TPq3C5QP+aqxAhEh9hgl1U4ZFV/rH5tIQTW7T4B5YLABAAv3doPvTqGosQu47UvDsEgSZAkQAIASYIE4Kkx3WGQJBw8XYb1u0+i+i1JVf8XGWTB9CFdAAA7jhbim8OFVddwX0gC0C0qGOP6ut/rpz/lI7ug3H0NSYIQ7joxuEsEhnRrDwDI2HwAJ4sdcKnulh9Z1aAJ4OFhXXFNF/fSCM9t2AejQYLVZISl6p+B1WTE5AGd0C7IglK7jM/2n4apqoXIaJBgNkowGgy4Prk9DJKEwnInjpyt0N939WOA2YiUDiEAgHMOAXt+KSSc/2wkSUKwzYSYUBsAoKDUgQqXiurx1lLVZxcaYNbreUGZA6om9M/FUPX5hdrMsJmNEELgXKWsf641hdrMMBokKKqGModSY0/df6b+qNGAMW3atOYqBxEREXmRQ1ZR4VRq3MAJyKqGIKsJ8RHum9cfT5bgVIkDsuq+wXMp7mN6x4aiX1w4AODdb3Jwpszp3q+ev85d18Sjb1w4VE1g+tKd7uCgqKh5j7voroEAgIJSJ55dv69OGSUAE1JjIUkSThbb8dEPp+ockxARqAeMvHOVOHy2HO0CLejWPhjhgRZEBJnRIyZUP/7XNybBZDQgyGKEyVj/7PxPjO7e6GdnMhowokd0o8dcaquA0SDBaDDCesGdWEyYDTFhtkbPvXVg3EWv/6/7rkFRhQtFFS4UVjjdj+UudKy6QS6qcCIrpwhC1L1lfWqM+/M4U+bEtkNn6ly7U3iAHjCOnKnA5z8X1Dnm2q6KHjB25Rbj6+yzdY6JDLLoAeNMmROFFU6YjQZYjAYEWMyQAFhNRgDuQHYgvwxORasTnEb36oB2QRYUVbiwdHtOvZ/HDcnu1/npVCn+mnmgzv74iEC8cae7fv43X+CTnXvrHHNdUns8M7YHAOAfXx/FN0cK6xxz5zXxmHqNe9zwH9f/iBPF9jrHzB3bA0OT2kMAmLa0/i/iF905EJ0jAnGi2I5ff3B+keq0rhH48MFr6z3HnzR5mtqVK1di9+7dcDgc+raaU8QSERGRd2lCoKRSRmGFC+cqXbg6MQKA+6ZpRdZxFFU4UWqvChGqhphQm37TtHbXCby/s+6U79d2jcTvxvUEAHz0wyl8dajujeDtV3XWA0ZWThFyCisBAGajpN8Qljvd37IaDRI6RwTCbHR/01z9bb/VbESg2YhyAO2DrXhkeDf9G+iax1Qb3DUC7953DQwGCYaqb5oNkgRjjSk67xqcgLsGJzT6mUUGWxvd3xpJkoSwqm/SuzQw41CX9sFY/+h1tbYJUfvG/dpukVjz8JAa+wGBqm/kq9w2KA4TUmMvOAYw1ghcvxmRhFnDuunXlyQJFqMBFtP5wPdC1TiVhhgNkn5jrWoCLuV8605EkAWAO5y9fFs/d+uQ6m49UzTN3YpQVZ7kDiF4bEQyNAgI4f53ShNAcI2k16udhNjOCfp7qX7fcVVjYADghpQo/bPVhHCHNAH0jj0fbsf2jkGxXYao2i+qDoqtcZ1f9O3o3ofajRjV5Qm2mvCLfucnVqpuZfF3TQoYs2fPxtGjR/Hdd99h6tSp+Pe//41Ro0Z5u2xERH6j+sbOVTUItPo/bi5FQ6/YUFhNRhRXuvDfw4VwVXX10ABACBgkCVOu6gwAOHKmHNuPFAI1vjWUAEQGW/SuE3uOF2N/fmmtLguSBCREBOGaLu4byv8dKUR+qUNvupcAGCSge0wokqKDAQBfHTqDSpfq7gZQo+tCv7hwRIVYoWoCX2ef1a9ffR0AGBjfDgEWI+wuFdlnyut0DbGa3H2+6cq5FA0ldrnGjwvFlTKGpUQhMtiKogoX/vzRTyiudOFcpVyr7/6KB9MQaDHBIavYd7IEkUEWRIdaYTEaYDYZEFXj5rp7hxCM7x9bKxSYjQZ0anf+ZmdiaicMT4mGxWTQjzMbDWgXeH4c5F9v7Q+jQYLJKDX4rf38SX0bfL/lAIJtJr2+N8QdPFjHmtOFY2QNkgSDsfGWmeo60phAy2Utu9Ygo0FCgKXu3yCb2Vir9ao+MaE2xPRqvIWoa5iEhH6NtxJdl9T+ouWs7u7XEIMk4aGqcTUNiQy24qEbzh8TYvPsZ+ktTSrlli1bsGfPHgwYMACvvPIKnnrqKXafIqIrIqsa8ksdqHAqqHSqqHApKHcqcMqa/kc552wFth8+C63Gt0xCCLQLtOjH/O9IIb7PPaf30XYfJ9A9JhS3VDXPr/ouDwdOl0LTzl9HEwI39YjG8O7ubg8vfvIzThXb3eGhqguJS9Hw9JjuuCoxAi5Fw70NNGW/fc8gdAwLwNlyFxZ/ebjOfrPxfMDIKazAiqzjdY7pFhWk33DtOn4Oq78/UeeY4d2j9IDx6U/5yMo5V+eYe69N0APGsm9ycLrUWeeYP9zSE1EhViiahgWf1u0qAADv3HMVAixGnCi243drf6iz32SQsPaRoQCA/2afxZv/02DbnaXfbFiMBsRHBmL2CPd05FsPFOC7Y+dgNhqq+ke7Z89J6RCi/4f6myOFOFPmhLnqhqb6n3fPjqHoFuV+Tx/vO4VKl+r+xrBqvwBwQ3IUYsMDIKsaVnx7XA9w1d+YCgHcOigOwVYTCsoc+M+eU0DVN5iixnu6b6i728fPp0qx5eCZWucLAB1CrPo/y+2Hz2JPXgkMQI2+3BJSOgTrA2037DmBwwUVsFf1k7e73H3lJw+M07vczFiWhWK7XOcz7tI+CJHBVlhNBpTYZYQHWtAtKlgfrBsZaNFv8FM7h2PVQ9c2OonKwIR2GJjQrsH9QNO+HWWwJKKLaVLAsNlsMBjcU6FVr7J98uRJb5eNiC6Bqrn7QbsHDroHRSqagCS5uyMAwLlKdx/cCwVbTXqf34Iyhz5QsrongkGSEGIzITzQ3Qx9ttwJRRX6wL8Kp4Iyh4L4iEC0C7JA1QSW/vcoyhwKypyy+9GhoMKp4OXb+iMmzIbjRZV4bMXuOmUxSOe/9ckprMAH9dyMJ0YG6sccPF2Gj/fVnXFF1aAHjIOny7DzaJHexcJgcL+nAZ3D9ePPVbhQ6VJhMRkQZjHDanLfJAdWNVNbTAbc0rcjLCZDjcGFBliMRoTY3N/uxobb8JeJfWA1GWAyGGoNDqx2TZdIvHFniD6oT4L7xtVsOP8N4Pj+nTAsJap287wQ+usAwH1DumDKoM7Qat4AC4EONfpuPz4yBU5Z02+0qx+To903kSaDAb+9uQeqe0VUX0sT0AcpRgZb8OD1XfX+9O5HrVZXCrPRgAgbYLCa4FIFHLKKMoeMoBpdDrILyrH1YN2+3KN6dtADxif78vF9bt3QdN+QRD1g/Pu7PJwpqxuakqKDzweMeuoMANzcJwbBVhPOVchYt7tugLOZDXrAOH6uEpvq6f+f0iFYDxj7T5XWe8zIntF6wNiVW4xvj507P9uPxT3jj1bj87shxX1sdZeW8EAzwmxmxEe6x0UEWU3457Sr631P1TgrEBH5E0lc2OGuhnXr1uGXv/wlRo0ahY0bN+Kpp57C2bNnERMTg//973/YsWNHc5b1ouLi4pCXl+fTMnAl77ZL1QScivsbSovJoN8M7so9h8Kqm9dKl+J+dCoY2auD3pT7/H9+hKtq4Jpa9aNoGp4e2wOd2wXi+53/xWs/mfV9qiagCvfjigevhdlowP+OFOL/NtWdRrFjmA1v33MVAGDlt8fx3v+O1TnmmsQI/OEXvQAAr3x6oN4bwdsGxmHakEQAwGMf7sKRs3Xr+ROjUjC8ezSEEJj85nYomoDJICHUZkawzYRgqwmP3ZSM2PAAlNhlbNhzEkEWI4KsJgRZTQi0GBFoOd/EXe5UUFjuhMEgwVhjxg+z0aD3uXXI7m5KNYODJLn7/zY0oJM872J/zzRR3SfaPShYUd313WIyoF1VcM0tqkSpXXYHY5zvttUxzKaH5MNnyqFqosYMMAAgoUOoFYEWEzQhcOKcXe/MLAH6TDDRIVaYjAbIqoaiCleNkHd+ppjq/vrV/y5Xh8Pq8hgNkt7dw+5S4VRUvR+3qHqfVpNRD2gVTqVq1huuV1CN/+0jf+fPddRfVvK+2D13oy0Y8+bNw6xZszB+/Hjk5eVhwYIFyMjIwLlz57Bq1SqPF5bIEzTh/ga1+ibGUWOav5QOITAaJJwtd+L73HNVUwC6Z0tRNAGbyaB/O/l97jl8feisPkBM1QRcqobEyCDce20iAOCdr45gy4ECOGV3t5pqtw7spM+w8e7/junT89XUPSZEv5HOrrppMlbdSLtnF5GgVk1faJSAiCALjAYDjJJ7RhOD5O5mUi0qxIoRPaLdfaOrrmMwSAgPOP+td99OYbg3LeH8SLKqb8g71vjWe0hSe3RqF1DrW20BoHfH8/1ab+oZjdRyl/7tepDV/S1+9TfjkiTh7XuuQrDVBJu5/hursACzPhNMQ4KtploD7+pjMxthM7PLhr8zSBIsJgkWNBz6qmcyakx1S0Zjr9P5ItcxGw3oENp4H+ym9P+vrw/4hYIuUn+JiFqjRv/y7d69G99++y2WLl2KtLQ09OrVCzNmzMDjjz+OwMCL/4eA2h6noqLc4e5LX+ZQYDEZ9D693x4rwuGCcvesDjVmd+gTG4ahVV0klv/vGHKLKmt19VFUDZMHxiGtq3se7MdW7EKZQ9G/Aa3+VvT/JvZFz46hOFfhwvR/ZdVbvg8fSEOQ1YTcokq89kV2nf0RgRY9YOQWVWLz/tO19psvGNQYHmhGQkSgfpMbYHbPoV5zkNn0axPhVDQEWY1V39Cb9Mdq790/uNHPNdwq4ZUpqY0e0y0qGI+PTGn0mJ4dQ9GzY+MD4K7tGolrqz7rhozv3/jANQD6IldERETUtlz0q5WrrroKV111FTIyMrB69WosXboUjz/+OG6//Xa8/fbbzVHGFuXg6TL8Yd35ub2rv7m1mQ344y96A3BP8bd+9wk4yjXYjvygHxMfEYgHru8KwD2Q8X+15ld2HzMoIVy/uXv3mxwcrdFNpfq+d0zvGAyuWpRm4ecHUeZQaiyS4/5W+1dXdUaX9kFwyCoWf3m4ahpA91SA1V1R7k5LQKDFhOPnKrEy6zjUqi4O1Tf+VpNBn9ow88d8vL3tSK1v8QGgX6cw/F/VbCI7jhTVuzqpENADxr6TJdh/qhQmg3sgqNEgwWwwoNJ1fpGZIItJ7/5iqv623iAhsOqbxACLEaN6dtAX2Dk/841Rn96wW1Qw5v2y9/l+9Cb3gjyWGl1qxvXpiNG9OugtBUaDVOeb+CmDOmPKoM513lNN/Wv08yciIiJq7Zrcdmu1WnH77bfDZrPh3Llz+PDDDxkw6uGQVRw/Zz8/80jV9qAa31aX2mUcPlMBVQUM9nL9oJq3rvklDuw/VaY/r5phuVZXlqNnK7A3r6TWfsA9vWS13cdLUFRxfkBk9aDRsb1jALhn8qlvgRzAvZBPoMWEMoei98mXAL37Ts0Bp5HBFvSLC9P72YdYTVUrXp6f/nDKoDjc3CemVjAwGQ2wmc/f1M+f1PeigxUbm/4QcE+HN/um5EaPCQswY9BFZlOxmAyNducgIiIioroaHeRdbd++fViyZAnef/99JCUl4f7778evfvUrBAc33he2uXGQd9PUXOhGCAG77F5p1T3N5/mpQMMDLe5xAFXbL1zgiJqPPw84IwJYR6npWFfI3/lzHW0Vg7wXLVqEf/7zn8jLy8M999yDrVu3omfPnh4vJDWvmt18JEm66AI4RoMEIxgsiIiIiOjiGr2z/Oijj/C73/0O48ePh8nEmTCIiIiIiKhxFw0YRERERERETcURrERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DFeDxijR49Gv379kJqaiuuvvx67du2Cw+HAxIkTkZKSgv79+2PUqFHIzs7WzykoKMDYsWORnJyMPn36YNu2bd4uJhEREREReYDXA8bKlSuxd+9e7N69G+np6Zg+fToA4MEHH8SBAwewZ88eTJgwATNnztTPmTt3LtLS0nDo0CEsXboUd955J2RZ9nZRiYiIiIjoCnk9YISHh+u/l5SUQJIk2Gw2jBs3DpIkAQDS0tKQk5OjH7dy5UrMmjULAHD11VcjNjYWX375pbeLSkREREREV8jUHC9y7733YsuWLQCATZs21dm/cOFCTJgwAQBQWFgIWZYRExOj709MTERubm6d8zIyMpCRkaE/Ly4uRmZmpqeLf0mEABRNa9KxquzCsb3bvVwiag1YV8jfsY5SU7GukL/z5zpqkCQcMEi+LsZFNUvAePfddwEAy5YtwzPPPFMrZMyfPx/Z2dn4/PPPL/m66enpSE9P15/HxcVhzJgxV17gK1DhVHDkTEWTjj22dzsS+g3xcomoNWBdIX/HOkpNxbpC/s6f62iIzYTE9kG+LsZFNessUtOmTcOWLVtQWFgIAFiwYAHWrFmDjz/+GIGBgQCAyMhImEwm5Ofn6+fl5OQgPj6+OYtKRERERESXwasBo7i4GCdPntSfr1u3DpGRkYiIiEBGRgY++OADbN68udY4DQCYMmUKFi9eDADIysrCiRMnMGzYMG8WlYiIiIiIPMCrXaRKSkowZcoU2O12GAwGREVFYePGjThx4gSeeOIJdO3aFTfeeCMAwGq1YseOHQCAl156Cffccw+Sk5NhsViwfPlymM1mbxaViIiIiIg8wKsBIyEhATt37qx3nxCiwfM6dOiATz/91FvFIiIiIiIiL+FK3kRERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DHNspJ3WxJgNqJbdBBkVUBRNSiagKxqUDXh3qZpUFSBRibRIiIiIiJqsRgwPMxgkBBoufjHqqgaTvxoQJeoICiqVit8KJrQt6kakwgRERERtRwMGD5iMhogAQi2Nv6PQIjqwCEgVweQqpaRmttkVWOrCBERERH5HAOGn5MkCWajBLMRCICxweM0TeB0mQOF5S4GDSIiIiLyGQ7ybiUMBgkdwwLQLSoYARb+YyUiIiIi3+CdaCsTYDEiKToEHcNtkCRfl4aIiIiI2hoGjFaqfbAVKR1CEGJjLzgiIiIiaj4MGK2YxWRAYvsgxEcEwmRkcwYREREReR+/3m4DwgLNCLaZcKrEjnMVsq+LQ0REREStGFsw2gijQUJcu0B0iw5itykiIiIi8hreabYxgRYTEtub4JBVnC13orhS5rS2REREROQxDBhtlM1sRFy7QHQI1VBY7kJhhROa5utSEREREVFLx4DRxpmNBsSE2RAVYkVRhTtoyAqbNIiIiIjo8jBgEAD3GI2oECvaB1tQXCnjbLkTDplNGkRERER0aRgwqBZJktAuyIJ2QRaU2GWcKXPA7mLQICIiIqKmYcCgBoUFmBEWYEapQ8aZMicqnaqvi0REREREfo4Bgy4q1GZGqM2McqeCglIHKhg0iIiIiKgBDBjUZMFWE4KjglHhVFBQ5kS5Q/F1kYiIiIjIzzBg0CULsprQxWqC3aUiv9TBoEFEREREOq7kTZctwGJEl/ZB6BhugyT5ujRERERE5A8YMOiKtQ+2Iik6GFYzqxMRERFRW8c7QvIIm9mIpKhgtAsy+7ooRERERORDDBjkMQaDhLh2gYiPDITRwD5TRERERG1RswSM0aNHo1+/fkhNTcX111+PXbt2AQAOHTqEIUOGICUlBVdffTV+/PFH/ZzG9pF/CwswIyk6GEFWo6+LQkRERETNrFkCxsqVK7F3717s3r0b6enpmD59OgDgoYcewoMPPoiDBw/imWee0bdfbB/5P4vJgK5RwegQauUAcCIiIqI2pFkCRnh4uP57SUkJJElCQUEBvv32W9x9990AgFtvvRXHjx9HdnZ2o/uoZYkOtaFrVBBsHABORERE1CY02zoY9957L7Zs2QIA2LRpE44fP46OHTvCZHIXQZIkxMfHIzc3F2FhYQ3uS0pK0q+ZkZGBjIwM/XlxcTEyMzOb6y1dMYfD0aLK6wmaAIQQEHA/UtOosgvH9m73dTGIGsQ6Sk3FukL+zp/rqEGScKAFjHNttoDx7rvvAgCWLVuGZ555Bn/+85+v+Jrp6elIT0/Xn8fFxWHMmDFXfN3mkpmZ2aLK62maJlApq6h0Kqhwqah0KdA0X5fKPx3bux0J/Yb4uhhEDWIdpaZiXSF/5891NMRmQmL7IF8X46KafSXvadOmYdasWYiLi8OpU6egKApMJhOEEMjNzUV8fDxCQ0Mb3Eeth8EgIdhqQrD1fDV0yCoqnAoqXSoqXApkha0cRERERC2J1zvGFxcX4+TJk/rzdevWITIyEtHR0Rg4cCCWL18OAFi9ejXi4uKQlJTU6D5q3WxmIyKDregcEYgeMaHoHhOCzhEBiAi2cBwHERERUQvg9RaMkpISTJkyBXa7HQaDAVFRUdi4cSMkScJbb72F6dOnY/78+QgNDcXSpUv18xrbR22HxWSAxWRBeKD7uaoJVLgUVDrdLRx2lwoO5SAiIiLyH14PGAkJCdi5c2e9+7p3745vvvnmkvdR22U0SAi1mRFqc68YLoSAXVZR4XSP4ahwqlA1Jg4iIiIiX2n2MRhEniRJEgItJgRaTACsANzjOCpd7rEcZQ6FgYOIiIioGTFgUKtjMxthMxsREWSBqgmcLXfiTJmTXamIiIiImgFHzVKrZjRI6BBqQ/eYEIQHmn1dHCIiIqJWjwGD2gSz0YDOEYFI7hCMYBsb7oiIiIi8hQGD2hSb2Ygu7YOQ2D6Q094SEREReQG/yqU2KcRmRojNjKIKF06XOqCoHKBBRERE5AkMGNSmRQRZEB5gRlGlC+cqXHDImq+LRERERNSiMWBQm2cwSGgfbEX7YCsqXQqKKlwoscvQmDWIiIiILhkDBlEN1WtqxIYJlNhlFFW6UOlUfV0sIiIiohaDAYOoHgaDhHZBFrQLssAhqzhX6cK5CpmL9hERERFdBAMG0UXYzEZ0DAtATKgN5yplFJQ5ICsMGkRERET1YcAgaiJJkhARZEG7QDMKK1w4U+bk7FNEREREF2DAILpEkuQeFB4RaMHZCifOlrnYdYqIiIioCgMG0WUyGCREh9gQGWTF2XInzpQ5IZgziIiIqI1jwCC6QkaDhA6hNkQGWXCm3InCcheDBhEREbVZBl8XgKi1MBkN6BgWgO4xIWgXZIYk+bpERERERM2PAYPIw8xGA+LaBSIpOhhhAWZfF4eIiIioWbGLFJGX2MxGxEcGwu5ScarEjgou2EdERERtAFswiLwswGJE16hgJLYPRICF/8oRERFR68YWDKJmEmIzI8RmRkmljPxSB1yK5usiEREREXkcAwZRMwsLNCM0wISiChdKHQocssoF+4iIiKjVYMAg8gFJkhAZbEVksBUAoGoCTkWFQ9bgVFQ4ZQ0ORYWsMHgQERFRy8KAQeQHjAYJgRYTAi21t2uagFPRkGeQEBVihUNW4VQ0dq8iIiIiv8WAQeTHDAYJARYjDJKEmDCbvr06eDgVd+CoGTy4yB8RERH5EgMGUQtUHTwCLMZa24WoCh5VXayqHxk8iIiIqLkwYBC1IpIkwWY2wmY2IgznF/nTg4eiwSmrKHUosLu4LgcRERF5HgMGURtQM3ggwIzoUMClaCixyyixywwbRERE5DEMGERtlMVkQFSIFVEhVoYNIiIi8hivLivscDgwceJEpKSkoH///hg1ahSys7MBADt37kRaWhoGDBiAnj174q9//at+XmVlJaZOnYqkpCSkpKRg1apV3iwmUZtXHTaSooPRPSYEMWE2BFqNMHDhcSIiIrpEXm/BePDBB3HzzTdDkiS8/vrrmDlzJrZu3YoHH3wQf/rTnzB+/HgUFRWhR48e+MUvfoFevXphwYIFsFqtyM7OxtGjRzF48GDceOONiIyM9HZxidq8mi0bgHvGKpeqQdEEZEWDrGmQVQFF1SCrGlyKgKpxBDkRERG5eTVg2Gw2jBs3Tn+elpaGBQsWAHD3CS8uLgYAVFRUwGKxICIiAgCwYsUKLFmyBADQpUsXDB8+HGvXrsXMmTO9WVwiqofBIMFmqJqtylr/Maom9KlyHbKq/84VyomIiNqeZh2DsXDhQkyYMAEAsHTpUkyYMAHPPvsszpw5g7feegsxMTEAgNzcXCQkJOjnJSYmIjc3t871MjIykJGRoT8vLi5GZmaml9+F5zgcjhZVXvKdllxXhAAERNWje0Yran1U2YVje7f7uhjUArCukL/z5zpqkCQcMEi+LsZFNVvAmD9/PrKzs/H5558DAF588UW88MILuPPOO3HkyBEMGzYMV111FXr16tXka6anpyM9PV1/HhcXhzFjxni87N6SmZnZospLvtPa6opTUeFwudfosLtU2GWVrR0t3LG925HQb4ivi0EtAOsK+Tt/rqMhNhMS2wf5uhgX1SwBY8GCBVizZg0+++wzBAYG4uzZs1i7di0+/PBDAEDXrl2RlpaG//73v+jVqxfi4+Nx7NgxdOzYEQCQk5OD0aNHN0dRiagZWE1GWE211+pQVA12WYVD1qAJ97gOVRPQhIAmoP9evZ0NIURERP7J6wEjIyMDH3zwAT777DOEh4cDANq1a4egoCB88cUXGDFiBM6ePYsdO3borRFTpkzB4sWLkZaWhqNHj2Lr1q1YtGiRt4tKRD5kMhoQYjQgxNb0c2qHkKrfNUAV1SFE6L9Xb9eEgKaJGseAYYWIiMiDvBow8vLy8MQTT6Br16648cYbAQBWqxU7duzAypUr8dRTT0FRFMiyjDlz5uDaa68FADz11FO4//770a1bNxiNRrz++uto3769N4tKRC2Q0SDB6IG+qJomIGsaHC4NlbJ7lfNKl8rgQUREdBm8GjDi4uIaHNA5cuRIfPfdd/XuCwoKwooVK7xZNCIincEgwWqo223LIbvHiFTKKuwuBQ5ZY+ggIiK6CK7kTUTUAJvZCJvZiHZVz4UQsMsqyp0KKpwqKl0KNM2nRSQiIvI7DBhERE0kSRICLSYEWkxAyPnAUeFUUeFUUMHAQURExIBBRHS5agaOqBArhBBwyBrKne5xHA5FhUthtyoiImpbGDCIiDxEkiQEWIwIsBj1bdWhw6m4p+B1yO7gIStMHURE1DoxYBAReVF9oQNwz1zlUFQ4ZQ1ORYNLcYcQJ1s8iIiohWPAICLyAYOhuntV3X0uRYNL1eCUVT18yKoGhYsMEhFRC8CAQUTkZywmAywmA4Kt9f+JVjUBRdOqHgVUVejho9Z2TUBR3Y9ERETNhQGDiKiFcS8waLz4gVWEELVDx4VhRK27nbNhERHR5WLAICJq5SRJgskowdT0TAIh3IHDLqsodyiocLoXGiQiIroYBgwiIqpDkiSYjRLMRgNCbe7VzWVVQ4VTQZnDveYHZ8IiIqL6MGAQEVGTmI0GhAdaEF41Mt2pVLduqJAg+bh0RETkLxgwiIjoslhNRliDjYgMBvYbJfSKDXWv8yGrcCia/jvHcxARtS0MGERE5BFGg4QgqwlBF8x+JavVYcM9/a6iapBV92ByReW0u0RErQ0DBhEReZXZaIDZaECIrf79StUaH7LqDhyyqkHWRFUQqQojKlMIEVFLwYBBREQ+ZTIaYDICNnPD01xVz2pVHTiqw4gqBLSq6XX134VgywgRkQ8xYBARkd+rOatVUwkhoAno63qoVeuBaBeEEfe2GvurHrlqOhHR5WHAICKiVkmSJBglXNKihBeqXqTQHUhQ1TqiocLlnkHLpXAEOxHRhRgwiIiIGqAvUnjB9vBA96NLca8NUl71w7EiREQMGERERJfNYjLAYrKgXZB7bRCHrKLcqeihg1P0ElFbxIBBRETkITazETazEe2DrQDcU/Q6FQ1OWXU/KhqcispV0C+RJLmnQTYZpKpHA4xG93MA+pgZDvYn8g8MGERERF5SPUVv8AVrg2ia0MOGS3FP01t9g6xUDTRXVPdja7xBliTAUDVw32hwD96vDhCmqt+r95kM7ueXq+Y4mlpBpKFtFwz+J6JLx4BBRETUzAwGCQEWIwIsFx+AXn3Tq4nzgUMTAgKA0AAB92xZ1bNmufcAEtw35VLVvXnNW3SpaqOkP6+xD3VPuPAaUo0TLrzGha974TVO/mhAn05hF33fntLQOJqmaDScNBJa2HJCbR0DBhERkR8zVnULouZ3peGkeu0Wp6zVarFyKhoDCLVqDBhEREREHlZz7ZZAS939rqrA4VTcK9YD7m5j1d3H3D/u6xik8/sUTUBVBWRNc3epq1p4UtUEZNXdikLkawwYRERERM3MPQOZASEevq4Q7qBR7lRQ7lBQ5pQ5loSaHQMGERERUSshSRIsJgkRJgsigiwQQsAuuxeGLHUocMgqu2eR1zFgEBEREbVSkiQh0GJCoMWE6FD3pAHVLRsVThWKprGFgzyOAYOIiIiojTAaJIQFmhEWaK61XVG1RmfLqp42WdHc64xUT63M1hCqj1cDhsPhwB133IGffvoJAQEBiI6OxptvvomkpCQIIfD888/j/fffh9VqRfv27bFlyxYAQEFBAe69914cPnwYVqsVixYtwg033ODNohIRERG1WSaj4bJuCrULpuutGUDqCyTuY9hq0tp5vQXjwQcfxM033wxJkvD6669j5syZ2Lp1K/7+979j79692LdvHywWC/Lz8/Vz5s6di7S0NHzyySfIysrCpEmTcPToUZjN5kZeiYiIiIiak8EgwQAJ5osv6VKLprlnwlLUqpmwqn6XVffCk4qqcVasFsyrAcNms2HcuHH687S0NCxYsAAA8PLLL+OLL76AxeKeuy0mJkY/buXKlcjOzgYAXH311YiNjcWXX36JkSNHerO4RERERNQMDAYJVoMR1ovciVavJ6Ko7paPmtPxVk/Pq7BlxO806xiMhQsXYsKECSgtLcXp06exfv16rFq1CgCQnp6OX/3qVygsLIQsy7UCR2JiInJzc+tcLyMjAxkZGfrz4uJiZGZmev+NeIjD4WhR5SXfYV0hf8c6Sk3FukLNQej/d351e31fPY0iNTepsgu5e7+psc9/WlEMkoQDLWDhzWYLGPPnz0d2djY+//xzOBwOKIoCu92OHTt2ICcnB0OGDEGPHj0QFxfX5Gump6cjPT1dfx4XF4cxY8Z4o/hekZmZ2aLKS77DukL+jnWUmop1hfzdxeqoprkjhxDVj+4QUh1chAA0UfcY1DhOu+BcCECr2q6J88doAlWD6d2/B1qM6BwR6PXP4Eo1S8BYsGAB1qxZg88++wyBgYEIDAxEcHAw7r77bgDuFoqhQ4ciKysL/fv3h8lkQn5+vt6KkZOTg/j4+OYoKhERERFRgwx6C4L/tyT4isHbL5CRkYEPPvgAmzdvRnh4uL596tSp+OSTTwAARUVF2LlzJ/r16wcAmDJlChYvXgwAyMrKwokTJzBs2DBvF5WIiIiIiK6QV1sw8vLy8MQTT6Br16648cYbAQBWqxU7duzACy+8gPvuuw+LFi0CADzzzDO45pprAAAvvfQS7rnnHiQnJ8NisWD58uWcQYqIiIiIqAXwasCIi4uDaGAFlsjISGzYsKHefR06dMCnn37qzaIREREREZEXeL2LFBERERERtR0MGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DGSEEL4uhCeYrVaERUV5etiNFl5eTmCg4N9XQxqAVhXyN+xjlJTsa6Qv2MdvbgzZ87A6XQ2uL9VBYyWJi4uDnl5eb4uBrUArCvk71hHqalYV8jfsY5eOXaRIiIiIiIij2HAICIiIiIij2HA8KH09HRfF4FaCNYV8neso9RUrCvk71hHrxzHYBARERERkcewBYOIiIiIiDyGAYOIiIiIiDyGAYOIiIiIiDymTQcMh8OBiRMnIiUlBf3798eoUaOQnZ0NACgoKMDYsWORnJyMPn36YNu2bfp59913n37O0KFDkZWVpe/7/e9/j759+yI1NRWpqan48MMPG3z9yspKTJ06FUlJSUhJScGqVav0fZMmTdKvkZqaCoPBgA0bNtR7HU3T8Jvf/AbdunVDUlISXn/9dX3fRx99hEGDBsFqtWLOnDmX+1ERWk99aaxOzJs3D1FRUfp17rrrrsv5qMhH/LmOHjp0CDfeeCNSU1PRo0cPPPHEE9A0rd7r8G+a97WWusK/Z62Xv9fRUaNGoX///ujduzdWrFjR4HXa7N8z0YbZ7Xbx0UcfCU3ThBBCvPbaa2LYsGFCCCHuu+8+8dxzzwkhhNi5c6fo1KmTcLlcQggh1q9fL2RZFkII8Z///EckJCTo1zx37pz+e15enggJCRFnzpyp9/Wff/55MW3aNCGEEEeOHBFRUVHi7NmzdY7LysoSkZGRwul01nudZcuWiREjRghFUURhYaGIj48X+/btE0IIceDAAbF7927x+9//Xjz22GNN+VioAa2lvjRWJ5577jnWkxbMn+vohAkTxMKFC/Vy9unTR3z00Uf1Xod/07yvtdQV/j1rvfy5jg4ZMkS88847QgghCgoKRHx8vMjLy6v3Om3171mbbsGw2WwYN24cJEkCAKSlpSEnJwcAsHLlSsyaNQsAcPXVVyM2NhZffvklAGD8+PEwmUz6OSdOnICiKACA8PBw/frl5eUQQjT4zcuKFSv01+jSpQuGDx+OtWvX1jluyZIluPvuu2GxWBq8zgMPPACj0YiIiAj86le/wgcffAAAeoqvLi9dvtZSX1gnWi9/rqOSJKGkpAQAYLfbIcsyOnbs2OB1+DfNu1pLXWF9aL38uY7u2bMH48aNAwBERUWhf//+DbZitNW/Z206YFxo4cKFmDBhAgoLCyHLMmJiYvR9iYmJyM3NrfeccePG1aocf//739G9e3cMHDgQb7/9NqKjo+t9vdzcXCQkJDT6Gna7HR988AFmzJjRYLmbch3yvJZaXy7m3//+N/r3748RI0Zgy5Ytl30d8j1/qqOvvvoq/v3vfyM2NhaxsbG49957MWDAgEu+DnlHS60rF8O/Z62HP9XRQYMGYfny5QCAI0eOYPv27Xr4uZTrtGYMGFXmz5+P7OxsvPDCC00+Z/ny5Vi5ciXefvvtWttnz56NAwcOYPv27Zg/fz4KCwsvu1yrVq1CSkoK+vbte9nXIM9rrfVl1qxZyMnJwZ49e/DnP/8Zv/rVr3Ds2LHLLg/5jr/V0UWLFmHq1Kk4efIkjh07hv/3//4fNm/efMnXIc9rrXWFf89aD3+ro8uWLcOOHTuQmpqKxx9/HDfddFOrbIW4EgwYABYsWIA1a9bg448/RmBgICIjI2EymZCfn68fk5OTg/j4eP35ihUr8Pzzz2Pz5s3o0KFDvdft378/OnXqhK1bt+Knn37SBxU9+uijAID4+Phaf+wufA3A3d2l5rfRxcXF+nUmTZrU5OuQ57T0+tKYmJgYmM1mAMDQoUMxYMAAfPvtt034VMif+GMdfeONNzBt2jQAQHR0NMaNG4etW7fyb5qPtfS60hj+PWsd/LGOJiYmYvXq1di9ezfWr1+PkpIS9O7dm3/PavLpCBA/8Morr4iBAweKoqKiWtunTZtWawBRbGysPoBoxYoVIikpSeTk5NS53o8//qj/np2dLaKjo8VPP/1U72s/99xzdQYQ1RxsdOjQIREUFCRKSkoafQ9Lly6tM4Bo7969dV6rtQ0g8oXWUF9qXu/COnH8+HH994MHD4ro6Ghx4MCBJl2P/IO/1tG+ffuKJUuWCCGEKC8vF4MGDRLvv/9+vdfh37Tm0RrqSs3r8e9Z6+OvdTQ/P1+oqiqEEOKTTz4RnTt3FpWVlfVep63+PWvTAeP48eMCgOjatavo37+/6N+/v7jmmmuEEO7KM2rUKJGUlCR69eolvvjiC/08k8kk4uLi9HP69++vzyxwyy23iF69eon+/fuLQYMGiZUrVzb4+uXl5eL2228XXbt2FcnJyWLFihW19v/2t78V995770Xfh6Io4pFHHhFdunQRXbt2Fa+++qq+77PPPhOdOnUSISEhIjg4WHTq1EmsX7/+kj4ncmst9aWxOnHvvfeK3r17i/79+4uBAweKf//735f8OZHv+HMd/f7778WQIUNEv379RI8ePcTTTz+tzw5zIf5N877WUlf496z18uc6+s4774hu3bqJlJQUMXz4cPHDDz80eJ22+vdMEkIInzahEBERERFRq8ExGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERERERE5DEMGERE5FGJiYno3r07+vfvj6SkJEyYMAHbt2+/6Hnr1q3D//73v2YoIREReRMDBhERedyKFSuwZ88eZGdnY9q0aRg3bhx27NjR6DkMGERErQMDBhERedXkyZMxa9YsLFiwAJ9//jmuvfZaDBgwAL1798aSJUsAAJs2bcKGDRvw8ssvIzU1Ff/4xz8AAO+99x4GDx6MgQMH4oYbbsCePXt8+VaIiKgJTL4uABERtX6DBw/Ghg0bMHDgQHz99dcwGo0oKirCgAEDMGbMGIwbNw7jx49Hamoq5syZAwD473//iw8++ADbtm2D1WrFV199hTvvvBM//vijb98MERE1igGDiIi8TggBACgsLMSMGTNw8OBBmEwmFBYWYt++fYiLi6tzzvr167Fnzx4MHjxY31ZUVAS73Y6AgIBmKzsREV0aBgwiIvK6rKws9OnTB7NmzcK4ceOwevVqSJKEgQMHwuFw1HuOEALTpk3D/Pnzm7m0RER0JTgGg4iIvGr9+vV488038cQTT+DcuXNISEiAJEnYtm1brTEVoaGhKCkp0Z+PHz8ey5cvR25uLgBA0zR8++23zV5+IiK6NJKobrcmIiLygMTERFitVthsNlRUVKBXr16YO3cuhgwZgs2bN+ORRx5BUFAQUlNTcfDgQTz99NOYOHEisrKyMH36dFgsFjz66KOYOXMmPvzwQ7z88stQFAUulwu33HILFixY4Ou3SEREjWDAICIiIiIij2EXKSIiIiIi8hgGDCIiIiIi8hgGDCIiIiIi8hgGDCIiIiIi8hgGDCIiIiIi8hgGDCIiIiIi8hgGDCIiIiIi8hgGDCIiIiIi8pj/DzEScHZSeQ7aAAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "Mkvc20UY-tWN" + } }, { "cell_type": "markdown", "source": [ - "# Prediction Perfomance Advanced (with Buy-Sell-Hold)" + "### Prediction Perfomance Advanced (with Buy-Sell-Hold)" ], "metadata": { "id": "F9eHMPk8i2wf" @@ -3531,7 +32881,7 @@ "\n", "# For demonstration, let's build minimal “fake” data:\n", "dates = pd.date_range(start='2023-01-01', periods=30, freq='D')\n", - "tickers = ['AAPL', 'GOOG', 'MSFT']\n", + "tickers = ['AMD', 'GOOG', 'MSFT']\n", "rows = []\n", "for tkr in tickers:\n", " # Generate a simple 'y' with random walk\n", @@ -3564,9 +32914,9 @@ "height": 960 }, "id": "YE89nsobUJ48", - "outputId": "5533b758-6756-4e6b-85fe-f1b04de7091a" + "outputId": "2a033b85-f578-4985-d1ff-1de560f8f1fb" }, - "execution_count": 27, + "execution_count": 34, "outputs": [ { "output_type": "display_data", @@ -3574,7 +32924,7 @@ "text/plain": [ "
" ], - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7gAAAJ3CAYAAAC+8P2OAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAAxOAAAMTgF/d4wjAAEAAElEQVR4nOzdd3yN1x/A8c+9Nzd7L0FCJJHYYsSeRdGq3Wqp0aIUVW1/pYuqtqqL0lLaKkqHFlWjKK29V2whiCRWZO/c9fz+uBXSJGRH+L5fr7yS3Oc85/nePCT3e88536NSFEVBCCGEEEIIIYSo4NTlHYAQQgghhBBCCFESJMEVQgghhBBCCPFAkARXCCGEEEIIIcQDQRJcIYQQQgghhBAPBElwhRBCCCGEEEI8ECTBFUIIIYQQQgjxQJAEVwghhBBCCCHEA0ESXCGEEKKQ6taty5IlSwrUtkOHDrzzzjulHJEQQgghQBJcIYQQIgd7e/vsD0tLSzQaTY7Hdu7cyalTpxg6dGh5h1ogQ4cORaVSsXHjxnzbXLx4EbVaTYsWLXIdW7x4MWq1Ovv5V61alZEjR5KYmJh93Nvbu7TCF0IIIQpFElwhhBDiDqmpqdkfEydOpG3btjkea9u2bbnFpigKBoOhwO3j4uL49ddfcXNzY968efm2+/rrr3F1dWX//v0cPXo01/EqVapkP//t27ezfft2JkyYUJSnIIQQQpQqSXCFEEKIQvL19eW7777L/v7MmTP07NkTLy8vnJycaNGiBVFRUXme+/777+Pn58fJkycB+PPPP2nevDkuLi7UrFmTOXPmZLeNiIhApVKxcOFCGjZsiK2tLYcOHSpwnN9//z12dnZ8/fXXrF+/nsjIyFxtMjMzWbRoEW+88QaNGzdm7ty5d+0zICCAnj17cvjw4QLHIYQQQpQVSXCFEEKIYrhx4wZt27alXr16nDt3jvj4eL788ktsbGxytMvMzGTQoEH8+eef7Nu3j3r16rF161YGDhzI9OnTiYuL4/fff+fTTz/lxx9/zHHu999/z7p160hNTaVRo0b89NNPODs73zUuRVGYP38+gwcPpm/fvlSuXJn58+fnard8+XJSUlIYOnQoI0eO5Oeff86efpyXc+fOsWbNGpo1a1bgn5EQQghRViTBFUIIIYph6dKleHl5MX36dBwdHdFoNISEhODu7p7d5saNG3Ts2BGj0cjWrVvx9PQEYNasWbz44ot06tQJtVpNvXr1GD16NIsWLcpxjSlTpuDj44NGo8HKyoqBAwfeNQkF2LRpExcvXmTkyJFoNBqef/55Fi5ciE6ny9Hu66+/pnfv3nh4eDBo0CBUKlWuAlpXr17F2dkZFxcXunfvTufOnZk1a1YxfmpCCCFE6ZAEVwghhCiGS5cuERQUdNc269at4+TJk3z44YdYW1tnP37+/Hlmz56Ns7Nz9seMGTO4du1ajvNr1KhR6LjmzZtH69atqVOnDgDDhw8nNjaWlStXZrc5evQo+/fvZ+TIkQA4ODgwYMCAXCO9VapUITExkYSEBC5cuMC8efNwdHQsdExCCCFEabMo7wCEEEKIiszX15edO3fetc3w4cOxsrKibdu2bNq0ifr16wPg5eXFM888w5QpU+56vlpduPejIyMjWb9+PdbW1nh5eeU4Nm/ePJ555hmA7PW2t0ZuATIyMkhOTubvv/+mU6dOhbquEEIIUd5kBFcIIYQohiFDhhAdHc3kyZNJSUnBaDRy6NAhYmNjc7SbPHkyU6ZMoWPHjuzevRuAl19+mS+//JK///4bg8GAwWDg5MmT7Nixo1gxzZ8/H3d3d86ePUtoaGj2x6+//squXbs4ceIEiYmJ/Pzzz3zwwQccO3Ysu01YWBgtWrS4a9XlvGRmZub40Ov1xXoOQgghRFHICK4QQghRDJUqVWLHjh1MnDiRGjVqYDAYqF27Nr/99luutqNHj8bNzY0ePXrw448/0rt3b6ytrZkyZQpnzpwBIDAwkIkTJ971mj/++COjRo0iNTU11zGdTsfChQsZP348Pj4+OY7169eP4OBg5s2bR61atbCysuLll1/G3t4+R7tJkybx5JNPcuXKlQL9DK5cuZKrqNagQYNYtmxZgc4XQgghSopKURSlvIMQQgghhBBCCCGKS6YoCyGEEEIIIYR4IEiCK4QQQgghhBDigSAJrhBCCCGEEEKIB4IkuEIIIYQQQgghHggFSnDHjx+Pr68vKpWK0NDQez4O5s3rW7VqRWBgICEhIZw6dSrf/hcuXEjNmjXx9/dn5MiRsrWAEEIIIYQQQohCK1AV5R07duDn50ebNm1YvXo1wcHBd30c4JFHHmHIkCEMGzaMFStW8PHHH3Pw4MFcfV+6dInWrVtz5MgRKlWqRK9evejatStjx44t0BOwsrLCw8OjYM+2HGRlZWFlZVXeYYhikHtYscn9q/jkHlZscv8qNrl/FZ/cw4pN7l9uN2/eJCsrK9/jBdoHt127doV6PCYmhkOHDvHXX38B5n33xo0bR3h4OAEBATnarlixgp49e+Ll5QWY9wicPn16gRNcDw8PoqOjC9S2PGzatImuXbuWdxiiGOQeVmxy/yo+uYcVm9y/ik3uX8Un97Bik/uXm7e3912PFyjBLayoqCgqV66MhYW5e5VKRbVq1YiMjMyV4EZGRlK9evXs7319fYmMjMy375kzZzJz5szs7xMTE9m0aVMJP4OSk5mZeV/HJ+5N7mHFJvev4pN7WLHJ/avY5P5VfHIPKza5f4VXKgluaXr11Vd59dVXs7/39va+r9/VkHddKj65hxWb3L+KT+5hxSb3r2KT+1fxyT2s2OT+FV6pJLg+Pj5cu3YNg8GAhYUFiqIQGRlJtWrVcrWtVq0aFy5cyP4+IiIiz3ZFYTKZKMAS41JnNBrLO4Ryp1KpUKulaLcQQgghhBCi9JRKguvp6Unjxo1ZtmwZw4YNY+XKlXh7e+eangzm9blt2rRh6tSpVKpUifnz5/P0008X6/o6nY7IyMj7ohqzh4cH586dK+8w7gtarZZq1aphaWlZ3qEIIYQQQgghHkAFSnBHjRrF+vXruX79Ol27dsXBwYHw8PB8HwdYsGABw4YNY/r06Tg6OrJo0aLs/kaMGEHPnj3p2bMnfn5+vPfee7Ru3RqADh06MGrUqGI9qcjISBwcHHBzc0OlUhWrr+JKTk7G0dGxXGO4HyiKQlxcXJ7rsIUQQgghhBCiJBQowV2wYEGhHgcICgpi7969eR777rvvcnw/cuRIRo4cWZBQ7slkMqHX63Fzc8suclWe1Go1Go2mvMO4L7i5uREfH4/JZJLpykIIIYQQQogS98BlGbfW3Jb3yO3DQGfQcTLmJDqDrkDtb92T+2FdtBBCCCGEEOLB88AluKLsXE29SqYhk6upV8s7FCGEEEIIIYSQBFcUjc6gIy49DoC49LgCj+IKIYQQQgghRGmRBLcMpaSkYG9vz/Dhw+/Zdtu2bWzcuLHY14yIiMDZ2bnY/fzX1dSruAANUWP77/dCCCGEEEIIUZ7KvwpTKTMYTdxMzSrVa3jYW2Ghufd7BcuXL6dJkyasWrWK2bNnY29vn2/bbdu2kZiYSLdu3Uoy1BKhM+jISI8jCBVqVLijEJkeRxX7KlhayBZAQgghhBBCiPLxwCe4N1OzaPnRP6V6jb1vPkJlJ5t7tlu4cCGTJ09mwYIFLF++nOHDh5OUlMRrr73Gvn370Gg0NGnShPHjxzN//nyMRiPbtm2jb9++DBkyhODgYBITEwFITU3FwcEhu2DToEGDCAsLQ6fT4ePjw8KFC/Hy8iqV53s19SpVMReM0qHggoooFK6mXsXX2bdUrimEEEIIIYQQ9/LAJ7j3i9OnTxMVFUXXrl0xGAzMmDGD4cOHM2HCBGxsbDh+/DhqtZqbN2/i4eHB6NGjSUxM5IsvvgDMU43v5osvvsDDwwOAGTNmMHXqVObPn1/iz+PW2tsEFGwBO1RURoU1CnEyiiuEEEIIIYQoRw98guthb8XeNx8p9Wvcy8KFCxkyZAgajYbHHnuMUaNGcebMGdatW8f+/fuz94W9laQW1k8//cTSpUvJzMwkMzMTd3f3IvVzV4pCXFIkAEYgBUhD4QYKCqACGcUVQgghhBBClJsHPsG10KgLNH24NOn1epYuXYpWq+Wnn34CID09nYULFxa4DwsLC4xGY/b3mZmZ2V/v2rWLOXPmsHfvXjw9PVmzZg1TpkwpuSdwS8p1KmelkAYk/vuQ6Y7DCgopWSklf10hhBBCCCGEKIAHPsG9H6xZswY/Pz/27duX/diZM2fo0KEDPXv25LPPPuOrr77KMUXZ0dGRy5cvZ7f38vJCURROnz5NnTp1+OGHH7KPJSQk4ODggJubGzqdjgULFpT8k8hIgNTroLUhwK0mqDW3jxn1kBoDVvZg7VTy1xZCCCGEEEKIApBtgsrAwoULGTRoUI7HateuTdWqVWnfvj1ZWVnUr1+f4OBg3nrrLQD69OlDaGgowcHBTJs2DQsLC7788kt69OhBSEgIer0+u69u3boRFBREUFAQbdu2JTg4uGSfgC4NEi6DWgsufjmT21vSYiAttmSvK4QQQgghhBCFICO4ZeDPP//M8/EjR44AMGTIkFzHatSowdGjR3M89txzz/Hcc89lfz9p0iQAtFoty5cvz9H2ww8/BMDX1ze78nKRGHUQf8n8tWsNyKuAlEYLVg6QlQJGA2jkn5UQQgghhBCi7MkIrrg7XTqYDOBcDSzt8m9n4wIokJlYVpEJIYQQQgghRA4y1CbuzsYZtLXB4h6Voq2dAJV5ra5dKVRwFkIIIYQQQoh7kBFckbf0OHPxKLh3cgugtgBrR9Clmqc1CyGEEEIIIUQZkwRX5JaRAImRkBhVuPPsK4GrnznZFUIIIYQQQogyJpmIyEmXBgmR5iTVybtw595tja4QQgghhBBClDIZwRW3ZVdMVswjsXlVTL4XRYEsmaYshBBCCCGEKHuS4JahlJQU7O3tGT58eIHaR0REMH/+/AL3v2DBAmrVqkVwcDBxcXGFC85kNCe3Jv29KybfTVYKxJ03r+EVQgghhBBCiDIkCW4ZWr58OU2aNGHVqlWkpqbes31hE9wvvviCRYsWERoaipubW4HPMxqN5i/UFuZ1tLauBT43FysHcz/pCRj0+qL3I4QQQgghhBCF9PAkuHOb5/0Rd8F8PO5C/m1uCd+S/7ECWLhwIZMmTaJdu3YsX74cgMWLF9O7d+/sNuvWraNDhw4AjB49mrCwMIKDg+nZsycAhw4dolWrVjRo0IBmzZqxe/duAPr378+FCxcYNmwY/fv3B2Dp0qU0aNCABg0a8Pjjj3PlypXsa3bs2JF+/fpRv359Dhw4gEpjwYdf/0zzLn3w9fVl9erVfPTRRzRt2pSaNWuybdu27Bg3bdpEmzZtaNKkCc2aNWPr1q0AbNu2jbr16jH89Q8JfqQPv69YXqifjxBCCCGEEEIUhxSZKiOnT58mKiqKrl27YjAYmDFjxj2nKs+fP58JEyYQGhoKgE6no2/fvnz77bd07dqVXbt20a9fP8LDw1mxYgW+vr4sX76c4OBgTp48yeuvv87hw4epWrUqH374ISNGjGDDhg0A7N+/n6NHjxJUzRMMWQDYOziwf/9+/v77b3r16sVXX33FoUOH+O2333j99dc5ePAgFy9eZOrUqWzatAlHR0fCw8Np27YtERERAJw5c4Z5X3zOwo8ngZ1nqf08hRBCCCGEEOK/Hp4Ed+z+ux938793m4DO5o8iWLhwIUOGDEGj0fDYY48xatQozpw5U6g+wsLCUKvVdO3aFYA2bdpQqVIlQkNDadOmTY62W7dupVu3blStWhWAMWPGMG3atOzpyK1atSKohjfEhoPaPJA/YMAAAJo2bUpaWhpPP/00AM2aNeP8+fMAbNy4kfDwcNq1a5d9LbVaTWRkJAB+fn6079wVYk6btxtyrAIqVaGepxBCCCGEEEIUxcOT4JYjvV7P0qVL0Wq1/PTTTwCkp6ezcOFCgoODb6+BBTIzMwvVt6qAyeN/29nb2easmAxYW1sDoNFocn1vMBgAUBSFLl26ZD+PO125cgV7e3tzQmvrZq6krJhApSnUcxJCCCGEEEKIonh41uCWozVr1uDn58eVK1eIiIggIiKCffv2sXTpUqpXr87x48fJyMjAYDDkSBwdHR1JSkrK/j4oKAiTycTmzZsB2LNnD9evXyc4ODjXNTt27MjGjRu5evUqYJ7u3KlTJ3PyajKBLr1IFZO7du3Kli1bOH78ePZjBw4cyN3Qwcvct1qSWyGEEEIIIUTZKFCCO378eHx9fVGpVNnrQQHOnz9Pq1atCAwMJCQkhFOnTgEQFxdHcHBw9kdgYCAWFhbEx8fn6jsiIgKNRpOj/YULF0rm2d0nFi5cyKBBg3I8Vrt2bapWrcrNmzd57LHHqFevHh06dKBmzZrZbRo0aEDdunWpV68ePXv2xNLSklWrVvHuu+/SoEEDJkyYwIoVK8yjpv9Rr149Pv30U7p160aDBg3YuXMn3377rflgRjwoxiJVTA4ICOCnn35i1KhRNGzYkNq1a/PFF1/kf4KimD+EEEIIIYQQopQVaIpy//79mThxYq51nqNGjeKFF15g2LBhrFixgmHDhnHw4EHc3NxyJMKfffYZ27dvx9U172TKwcEhR/sHzZ9//pnn40eOHAGgb9++eR63sLBg3bp1OR5r2rQpe/bsybP9rUJPtwwePJjBgwfnajdsxCiGDXoKHCpnP6bckYTa29vn+N7b2zvHtkadO3emc+fca5E7dOiQ8z5mJkPiZfNIrrVTnjELIYQQQgghREkp0Ahuu3bt8Pb2zvFYTEwMhw4d4tlnnwWgX79+REVFER4enuv8hQsX3rNisCgDt5JWKwdz0lnaxZ8srMBkMBebEkIIIYQQQohSVuQiU1FRUVSuXBkLC3MXKpWKatWqERkZSUBAQHa7PXv2kJCQQI8ePfLtKy0tjZCQEIxGI7179+btt9/OLnT0XzNnzmTmzJnZ3ycmJrJp06YcbTw8PEhOTkatLv8lxoqi5FhHW140pixsMmPIsPbEqLYqs+vaqa3QZCSSok7EaFLIyMhgy5YtZXb9kpCZmZnr35ioOOT+VXxyDys2uX8Vm9y/ik/uYcUm96/wSr2K8q3tcW4lwv9VuXJlrly5gqenJ/Hx8QwYMIDPP/+ciRMn5tn+1Vdf5dVXX83+3tvbO3vbHACj0ci5c+dwdHTMN0kuS0lJSTg5lfP0XKMObkaBYsDezq5QRaWKTZMFyVdwtFQwWjpiY2ND586d74t7U1CbNm3K8W9MVCxy/yo+uYcVm9y/ik3uX8Un97Bik/tXeEUe4vTx8eHatWs5to+JjIykWrVq2W1SU1P59ddfef755/Ptx8rKCk9PTwBcXV15/vnn2blzZ1HDEv9lMpq3AypCxeQSYeNi/izTlIUQQgghhBClrMgJrqenJ40bN2bZsmUArFy5Em9v7xzTk5cvX07Dhg2pVatWvv3ExMSg1+sByMrKYtWqVTRq1KioYYk7KQokRoI+vUgVk0uERguWDqDPMO+JK4QQQgghhBClpEAJ7qhRo/D29iY6OpquXbtmJ7ELFixgwYIFBAYGMmPGDBYtWpTjvPyKS02ZMoX58+cDsGvXLho1akTDhg1p3LgxXl5evP3228V9XgLMo6aZieYKxndUTC5zLtXBsw6oyn9NtBBCCCGEEOLBVaA1uAsWLMjz8aCgIPbu3ZvvefltZzNt2rTsr/v27ZvvNjmimGxczFWMbd1Kv2Ly3Wi05XdtIYQQQgghxENDhtTKiK+vL7Vq1cpeswzmPW23bdvG1KlTmTBhQo72ixcvpnfv3oB5f1tnZ2cAgoODCQ4Opk6dOmg0muzvBwwYgM6gY+yksdStW8c8Nbx2bV5/71NQ3wcFnXTpkBhlXhMshBBCCCGEEKWg1Ksoi9uysrJYuHAho0aNKnIfoaGhgDnpDQ4Ozv4eYN6SeezaspN9axfh4FoZg30VTp06VcyoS4gxCzLiQW+4d1shhBBCCCGEKIKHJsHtvbp3no/PeWQO1RyrEZkcyfh/xufZZnXv1QDsvrKbTw9+muexgpg6dSpvv/02gwcPxtbWtsDnFYTOoONixAUqOztib6XFYGGNhYUFDRs2LNHrFJmVk3kNri69vCMRQgghhBBCPKBkinIZatiwIR07dmTWrFm5jv3444/Z042Dg4OZMmVKofq+mnqV53p1JTLqKtVbPsFTI0bz/fffk5GRUVLhF49aDdbO5pHchIjyjkYIIYQQQgjxAHpoRnDvNdJazbHaPdu0rtqa1lVbFyuO999/n2bNmjF69Ogcjw8aNIgvvvgi+/vFixezevXd47lFZ9ChpMdRx9ODf/75lfWHj3H80HHmzp3Ll19+yf79+7G0tCxW3CXCxtn8+fRqaPdaeUYihKgArqRe4f2979NC36K8QxFCCCFEBSEjuGXM19eXgQMH8sEHH5RYn9dSrlIFFdc0GuKsbWjSoglDXhzCT3/+xKVLlzh58mSJXatYLO1ApYFTq8179AohxF2su7CO3Vd3k2pKLe9QhBBCCFFBSIJbDt555x2WLVvG1atXi92XzqAjNiOOMBR2njhD5KVItBotarWaI8ePoNfr8fHxKYGoS4BKDbYu0CP3FG0hhPivk7EnsVBZUN2yenmH8sCISooi6KsgopKiyjsUIYQQolQ8NFOU7yfu7u6MHz++0Ots83IjJRoAk0ZDUnwSH076kJTkFKytrVGpVcz6dhYeHh7Fvk6J0dpClcDy3ZdXCHHfUxSF0Juh1HKthRYtS08vxcPGg241upV3aBXatO3TOBd3jvd3vM83T3xT3uEIIYQQJU4S3DISERGR4/vJkyczefJkADp06JCr/bBhwxg2bBhgntacmJiY47ivry+J1yIwJlwiE0gyGghpF8L3bb5HrVKjKAoKClYaq5J/MsVl0MGFHRDQxVx8Sggh/uNS8iUSsxJ5wv8J0mPTWXhiIVnGLOq618XH4T6ZlVJMRpOR1eGraV21NV52XqV+vaikKBYfWwzAotBFTG43GR+nB+NnKYQQQtwi2UVFZciCxEg0Kg01K9WnaZWmNPJqRNMqTWlcuTFNqjShaZWm+Ln6YTDdZ3vP7poJPz0F0QfKOxIhxH0qNCYUgEaejbBT2zG9zXRS9am8seMN9CZ9+QZXQq4mJzF171Se/3NsmVxv2vZpjFK0NFbUqFVq3t/xfplcVwghhChLkuBWRIoJEi6DYsToXI0r6TfJNGTmapZpyCQiKYKolChMiil3N4qC0aSgN5rI0hvJ0BlJyzKQkqknKUNHQpqOuNQsbqZkcj05k2uJGUQnpBMZn05EbBoXb6ZyKTaNlMxCvtis1cP8+cRvRXn2QoiHQC3XWjxX9zkaeTYCoFXVVjxX7zmOxx7nq6NflXN0JWP6ukvokxoSlX6OPdGHSvVaUUlRRIb+wFcmLZuxQ2fUsSh0kazFFUII8cCRKcoVUcp10KeBnSeJGEnMSsTawhoULUkZekwmBaOiYFJAiyPp+mTCYiPRmNwwKQomE+bPJVTJOCVTj5ejNR4OVqgKsra2Ul1wDzJXU+42AzTaEomjNEQlRXE99TpRSVEylU+IMlTHrQ513OrkeOylRi9x6Pohvj/5Pc0rN6dVlVblFF3xnLh5gl9P7GLDSR/Ulp2wcDzO9D1zWffUolK75rTt07j87+9nV1TYKmD4dxRX1uIKIYR4kMgIbkWjz4DUG6C1xeTgRWxGLBq1BZlZNpy/kcqN5ExupmYRn6YjMV1HZqYDiskakyqNLCURncGEwWS6a3KrVqmwUKuxtFBjrdVga2mBvZUFTjZaXGwtcbOzxMPBikqO1thZmt8juZ6cSWR8OkZTAZJmlQrq94f0WLi4vaR+MqVi2vZpGEwGmconRBnSm/QYTcZcj2vVWj5u93GFXoMbkx7D+H/GszryW1TaBGyojCGlHpczDnHsxqlSueattbdhpixexTzbpy0aGcUVQgjxQJIEt6LR2oCLL7j4kpiVhMFkwKi3Iy5VZy4qZaHJlYi6W1XGQmWF2iIZd0cD1d3sqOFuh7+HPTUrORDk5UDtyo7UreJE/apO1KvqRJ0qjtTyciSwkgMBnvb4edhT3c0OH1dbqrrYUtnJhkqO1tTwsMPd3lzIKilDT3hMKln63C9Mc6nXz/z55IrS+1kVU1RSFEtCl6MolNmLQNnCQwjYEb2D1r+0ZntU7jfAfBx8WNN7TYUcvc0yZjFh6wRiM2PJuNofW5UHy0e1hMROAEzbNadUrvvBtqkMMlmgUWAL5poMXf6dwKVCJW/gCSGEeKBIgltRKIp57S2AjQvpRjXX026Cosaot0OjVlHF2YbASrkTUS8nW/ycq6NVa7HSqnCy0eJgrcXOygIbrQYrCw1ajRqNWlWwKcZ3UKvM1/V2sUWlUpFlMBIek0pyxj3W5br5Q51e5s/3obQsA898/zv9M9/k2rlzdFa0LNnwCiREQEYimHKvaS4Jd27hIcTDKjQmlDR9GlXtq+Z53EJtTs7C4sNYc2FNWYZWZIqi8N6e9zgRewJdbEcMyQ15vWsQ9ao68XTDFmTd7ET05SbojSX/u8Xj3CYWK5aMV1lxSgWRmHDEXGjKqBjZFrGtxK8phBBClBdJcP+jtEbQfH19CQoKIjg4mNq1azNw4EDS0tIAWLx4Mb17987Rftu2bQQHB5Oenk5gYCB//bEcbp7DoM/iVMRVAvxrEHroMCajPa62VgRWcsDdPu81sIcOHeLZgc/i7+yPm41biT6vW9zsrXDT6tFq1BgVhYi4NG4kZ6LcbZ3vUz9Au9dLJZ7i2Hshjs6ztnL1Rg0eUx9ksmE+G0xa3jm7GWY3hI+rw+oXb5+w6W1Y2gd+ew7WvQJ/T4Pdc+Da8dttbp6DpGjISjW/WZGH/27hIaO44mF1NOYojpaO+Dn75dvGpJh4a9dbvLvnXU7Flc7U3pK05NQS1l5ci5WuHlk3uxDs48zglr4AjGznhyn+UW7EVGVN6NWSvbA+gw/U9mDrzsw3bmJ810i1yQmMnJqOcYoR4xQj5146V7LXFEIIIcqRJLj/UZojaMuXLyc0NJRTp06RlJTE4sWL73mOra0tS779mlHjXyMuMYnzNzOY9NorPN5nAE0bd8XX2RNvV1u0mvxvZdOmTVm+fDkatQYw7714JfVKiW8fZGtpQU1Pe+yszKMrN5IzuRyXjvFeo53G+2PLj7QsA1P+OMkz3+7jWqIOAzreMgXxkm4cb+mH855SnU2VakHjIeDb5vaJiZEQdRBOrYJD38POz2HzZIjaf7vN4sdgVl34qCq87w6f+MOXTeBW5VRdGueX9eZdkyUBsoWHeIhlGjI5FXeKYM9g1Kr8f6+pVWo+aP0BKlRM3D6RNH1aGUZZeDVdauJlWYvYS/2xUGuY0a8+GrX5Dcmqzjb0aVQVUJi1ew1RydEld+H9CyDlmvnNRCsH82MaqS8phBDiwSUJ7h3KagRNp9ORnp6Oi4vLvRsbDTQPqsSAXl15YfJsNm/8k/Czp5k2bSo1PVxxsLbKbpqRkcGAAQOoU6cODRs25NFHHwVujwbfMmfeHFo3bE1wo2CmTZuWY9RXpVIxffp0mjVrRo0aNVi06HZVz//973+EhIQQHBxMu3btCAsLyxWuhUaNn/vtdbnJmXrCY9LIzG9d7s7P4bOa5mm/5WjvhTi6zd7BD3sv4626yRva2cRajSXKcgbhTo34ydiJ77Om0fdGJlHtJ0LjwbdPHrAU3oqGybHw+gUYdxiGb7m9HRJAizHQYiw0HAg1HwX3mqDWgoX553T1+gkeuRnOO4oFc7CW4i/ioXUq7hQGkyF7e6C7qe1Wm1ebvEpkSiQf7vuwDKIrusqWDbl86jkwWTOqvR+1vBxzHB/dwR+NTRRJTl/z3s4SWoubkWDed9ypGjR97vbjJiNsmwG7ZpXMdYQQQoj7iCS4d5i2fVr2iEFpjKANGDCA4OBgvLy8UKvVPPXUU3dtryiQcfMiapOeka++w8kTx5k26WXmfDcTeztyTUfeuHEjiYmJnD59mmPHjvHLL7/k6vPkyZN88uEnrNm8huV/Lyc+PT5XGysrKw4cOMCGDRsYP348BoN5pHfSpEkcPHiQ0NBQxowZw8svv5xn3Kp/1+VWc7VFfee63Mw8Roxt3c0vws6uu+vPorSkZRl4999R26j4DFy0On6w+4AXNPtopooFFfTyTSJLFY4KLa6Zk3jrr8/y7kyjBTt3cA8AnxBwrHz7WNtXodt06PM1PPMzPL8Rxu4Dr/oATD36LdU1mWzGQGc0uCil829QiPvdydiTAAR7BBeo/aDag2jn3Y61F9ey9sLaUoys8JKyknhxy4ucTzjPm6tOoDMo1HC346VHauZq6+9hT1f/ZhjTq7P/5l9cS71W/AD2zoPMJOj4VvabaQCoNXByJRz4Nt8lE0IIIURFJQnuv26N3uqMOoBSGUG7NUU5NjYWX19fJk2aBOROVE2KQmK6DqPRgI0pjQTFHuw8mfDyeEKaNaVqzSqk6lNz9d+wYUPOnDnDmDFjWL58OVpt7v1l//nnH7p160b9GvVxtHLkiYFP5GozaNAgAGrVqoWFhQXXr18HYPPmzbRs2ZJ69eoxbdo0QkND7/p8nW0t8feww1KjxqQoRMankfzvPr3Z6vQ0j2SeKPtqyrdGbZfsvQxAs+ou7ApaiZ/hJu+qdOxUK6hVaizVKuKspmMkAQ1O7DpWl7SskpveHZUUxaLjPxBp0vEjerSo6I1WRnHFQ2lInSGs67OOBh4NgJx7UedFpVLxfuv38bTx5GLSxbIM9a4MJgOTdkxi15VdfHNgM/svmd9M/LBPPay1mjzPGdMxgKzYR0BlZPqe+cUPouUY6PI+NMjjzVS/jpB8BWLPF/86QgghxH1EEtx/3Tl6e0tpjaBZWFjQr18/Nm7cCICHhwdxcXEApGTqOX8jlQtR13By8yQWZ1TOPvh52GFtqcWAAZVKhbu1e65+/fz8OH36NN26dWP37t3Uq1ePhISEPGNQqVRUta+KjYUNYB5puMXa2jr7a41Gg8FgIDIyknHjxrFs2TJOnjzJL7/8QmZm5j2fq42lBQGe9tj/uy43OdPAmB+PkHSryrKNC9TsApe2Q8qNAvz0ii9dl3PU1lqr5t0n6vBL3X3Yha+F2j15f0pGdgGWqo5V0U29weoXH8dSo0YxVOWV5aE5E/VimLZ9GirMb3L8gR4dCk9hfnNCtvAQDxuVSkV1x+pYaiyBgu1F7Wrtyqpeq3i5cd6zSsrDrMOz2H11N4/79mbjXnOxrKeaetPKP/fv7lvqVXWiddXWGDOqsv3qWmIzYosXhI0LtB5vHrH9L78O5s8XtxbvGkIIIcR9RhJcco/e3lKaI2j//PMPQUFBADRv3pywsDD+3LaXS7FppKSl8/svy+jc5VFcvKrjbGeNSqVCZ9RhUkw4Wzmj1eQenY2OjkalUtGzZ08+++wzFEUhKipn7B07dmTTpk3ExMSgVqnZ9NsmAOy0dneNNykpCa1WS+XKlVEUha+++qrAz9VCo6bGHetyd5yPpddXuwi7nmJuUL+/eQuk06sL3GdR7bsYR7cvdt4etfV1ZePL7XjO4zzqf6aBZ13o/TXkUY26SXUXpvc1Tyn+6/QNZm0pmcqj2y9vx6gYUavUJKvVvKHS8YVKL1t4iIfO9bTrrLu4jrgM8xt+hamL4GTlBECGIYPNlzeXeqx3szp8NT+c/oHGno1Jjn6ClEwj7vaWvPVY7XueO65jTXRxHVFUej7d+03RAoi7YK7mfrfaBr5tQKWBi9uKdg0hhBDiPiWlFMk5gvZft0bQvnmiiC807jBgwABsbGwwGAxUr16d+fPnYzIpGLV2fDz3e97638tkZmRgoejp1rkj70x8FY369nsQKTpzQuhuk/cIwIkTJ3jzzTdRFAWDwcDgwYNp0KAB27Zty25Tv3593nnnHVq3bo2DgwPdunXDyckpe1/J/NSvX5+nn36aunXr4ubmlmtbo3tRqVR4OVpzw84SG62aiLh0+szbzWdPNuSxoO6gtYOoA9B8VKH6Lah0nYGPN5zNTmyttWomdq3FsFa+qNUqUKqDd1Po+y1Y2QPmbUjWX1xPnD4uu5/+TbwJu57Mtzsv8eU/4QRWcuCJhlWKFZts0SGE2a4ru3hv73t80eELOlXvlD2zRqWYsmfU3Ot38Yf7PuSPC3/wdeevaVO1zV3bloaz8WeZtncale0q09f7TV7efgGAKU/UxdnW8p7nN6vhSrBba47HXuUKDYsWxNYPzWtsAzpD9VZ5t7F2BO8QuLTTXMk+jzdNhRBCiIpIpdx1o9L7n7e3N9HRt7dUMBqNnDt3jsDAQDSavNc5/Vfgl4FcSLiQ73F/F/8iJyFJSUk4OTnleSw5Q8/VpAx0BvM2OpYaNdVtMrBJvwrWTuBSI3skUWfUEZ4YjqOlI94O3kWK5ZaUlBQcHMzbRcyePZuNGzeyYcMG4jPjicuIw9fJF6265F/s3Lo3OFVm1LKjRManA/BiB3/+19wOjbN3niOnxbXvYhwTVxzPvl4zX1c+6d8AX/f/jForSvb1FUXhk4OfsOzMMno79Ob9vubpkUaTEVAzfMlBtoXdxMpCzYrRrajvnfc9LjKTEWLOgFe9ku33IbRp0ya6du1a3mGIAnh719usubCGbU9tIz0rlTZzamJjMrLHqiZ9s8LZrVFxcfxFfJx88u3jSuoVnlzzJFqNlpU9V+b7hmBp0Zv0zDw0k0er9WDsoutcTcqkY5AH3w8LyXOf8rxsDYvhuUUHAdjwcltqV3a8xxl3uHYMFrSDml1h0K93b3t2PejSzbUQ7ixCVcLk/2DFJvev4pN7WLHJ/cvtv/nff8kUZcwjaLfWW+b1UdIjbFl6IxGxaUTEpaEzmFCpVHg6WBPoZoFN+jXQWIJztRzJnqXGkprONfG09Sz29d944w2Cg4OpW7cu69atY+7cuYB5tFpn1BGVHIVJucfetcUQWMmBtePa0D7QA4Cvt11g2KqrJGaU7H646ToDU9ec4ulv9hEZn461Vs2UHnX45YUW5uTWZIJVL8A58zTtO3/ei04tYtmZZVSyrUSwTTBgfuHceUVn5oZ+ydu9KuPvYUeWwcTIHw4Rk3zv9ciF8vto84vUPKpcC/GgOhpzlOqO1XGzceP3tWMIN1nzFBbY6+P5GRu8uHddhKr2VXm31bvEZ8bz1s63SvV32Z30Jj2KoqBVa5nUbBJrDsLVpExsLTW837tegZNbgA6BHtSp7AgqA5P//o5UXe6igvn6exqggk5T7t221uPQ4MlSTW6FEEKIsiYJbhkymhSuJ2VyLiaV5ExzMudorSWwkj1eDlrUiZcBBVx8IY8pw1qNNrvwSnHMnTuX0NBQTp06xebNm/HzMxdAcbF2wd3GnQxDBtEp0ZTm4L6TrZbvh4UwtqM/ADvPxzLji5nE/1YyRWL2/7vWdvGeCABCfF3Y8HI7nm9TwzwlGWDbdDi+HE79nuPc1eGrmXV4FjVdarKq1yrs1eYpy9dSr2GlseLbE9/y5Lon8K+3EkeXCK4nZ/DC0sP57/VbFH4dQDGW2/ZJQpS12IxYolKiCPYIJiopiuAL21GA79Gzu8qTVEbN90YLlhy9d12Err5d6VezH3uv7WXxqcWlHruiKLy9622m7p2K3qQnNCox+3fPa48G4e1iW6j+VCoVYzr6Y+F4jDDjIuYfXVqwEy/thPAt5qrJBZ39oSiQGFmo+IQQQoj7WYES3PHjx+Pr64tKpcqxNcz58+dp1aoVgYGBhISEcOrUqexjvr6+BAUFERwcTHBwMMuXL8+3/4ULF1KzZk38/f0ZOXIken3JjuSVN+XfbX/O3UghJiUTRVGwslDj62aHr7sdVhYa83YNhkxwqAKWOafOXku7RlxGXKkmnLd42nriZOVEii6FG+mlW9VYo1bxetdazH+2MXaWGuqnH8D11GK27thW5D5vjdoO+M+o7fIXWlLjzinJp/+AHZ9ClUbQY1b2w3uu7mHqnqlUsavC/M7zcbS8PTWwqVdT1vdZz9xOc2lRpQV7r29D8ZqPTeWVhEYl8taqEyV3j2o9Zt4+6T/JtxAPqtCYUAAaeTZi6Z8v0w4NP6LnikrholNjFqCjCxa8oWgLVFl8UrNJ+Dn5sfHSRgymktvWKy8LTy5kw6UNJGYmYjKpeGPlcRQFGng7MayVb5H67F6vMt7aVpj0TvwctowMQ8a9Tzq8yPx7o8ObBb/Q6jEwpxFkpRQpTiGEEOJ+U6AEt3///uzatYvq1avneHzUqFG88MILnDt3jkmTJjFs2LAcx2/t+xoaGsqAAQPy7PvSpUtMnjyZnTt3Eh4ezo0bN/jmm+IXdLpf6E1wKTaNyPh09EYT6n+LLdWs5ICjzR3rXG3dwdYN7HNOQc4yZBGfEU+qPrVQU9yKSqVSUcW+CrZaW+Iy4sg0lPDU2zx0q1eZ1WNbc9DhEQBO/7WQ6X+ewWAs3NTC/Rfj6D77HqO2ADdOwe8vgp0HDFgGWpvsQ7Vda9OqSivmd5mf53RwjVpDO+92zO88n/V91jOkzhCerP0YAKuOXmHUmk+5kJj/eu4Cs3EB/45wcbtMUxYPBSuNFSFeITSu1JjGl3YBMFNlMBeZQsWrKh3HMDJFsSDp/F/37M/GwoZ5nefxQ/cf7llErzi2R21nzpE51HSpyUdtP2LhrgjOXk9Bo1Yxo28DNOqi/d7WqFWMaR+ELq49OiWZxcfzf5M4W58FMHQtuNYo+IUqNwSTASJ2FylOIYQQ4n5ToAS3Xbt2eHvnLGwUExPDoUOHePbZZwHo168fUVFRhIeHFyqAFStW0LNnT7y8vFCpVIwePZqff/65UH3cj4wmhauJGVxLU0jNMo8eONloCazkgKejNer/JquWtrnW3QLZ+yB62HiUSdxg3v/Xx8GHao7VsLawvvcJJaBmJQfee2kk8Rp3eqr38s2OCwxddID4NN09z71z1PZynHnUdnKPOvzy31FbgKxU+PkZMOrgqaXgZP53fSuRd7F2YV7nedRwuvcLxGqO1Xg95HXe69KfZ5r5oLa6yt7EpfT+ozfDNw1n8+XNxRs5qtvHPE35zNqi9yFEBdHWuy3fd/2eGgYT3XQ6qNmVE+/qs/eiTnvXSMNxR9E0H8Pyl84WqM+q9lWzf4edjD1Z4rNgLiReYNLOSThZOTGn4xxikhRmbzkPwMi2ftSpUojiUHno3agqbqY2mAz2LDq1KNdWdrlotFC9ZeEu4t/R/Fn2wxVCCPGAKPLb2lFRUVSuXBkLC3MXKpWKatWqERkZSUBAAABDhgxBURSaNWvGjBkz8PDInaRFRkbmGBn29fUlMjL/9UAzZ85k5syZ2d8nJiayadOmHG08PDxITk5GrS6/JcYKkJiuoABaNbhaq7DWGMhISyHjjla2mTfQaZ0waGxy9WFQDCQaErFSWaFP15NEUtk9gX8lZSRhwoRRMaJVFa+ysslkIiMjgy1btuTbpqZnC/yuraOx6jy7w1V0+XQzo+tpqOaQ9yjI+USFJWeN3Pz3h+rvBENrqaiUdo4tm/MoDqYo+Lh0QnG1IPpsMpzdRKIxkbnxc+li14Vmts1ynZKZmZnr39h/tbFROGhdmUsRo7F23cshDnPg+gGc1E60sWtDR7uOdz0/LxYGa1pbunLpxFEiY70Kfb4wK8j9E/cPx9SL1Lb355xlSxL+vW857qG6I/yz3fz1HZXP72Z/+n5+S/6NAU4DCLEJKZE4FUVhdtxsMgwZDHYZzMndJ/nimIksg4K7NdRVIti06XKxr9POA36Pa4u60gam/v4R7R1a5GpTJWYbbknHCas+BJ2lc2GfCO0tXTEcX8tu9SPFjjcv8n+wYpP7V/HJPazY5P4VXqnN29qxYwfVqlVDr9fzzjvvMHToUP78889i9/vqq6/y6quvZn/v7e2do3T2ra1oHB0dC7xNUGnRWOlJTEmnqrtj7hFbgKRoMKajtXEEx9zbzFxNvQoG8HLwwt7Svgwizk1RFC4kXcBoMuLn5Ie2GHslGo1GbGxs6Ny5c/735mol+GYdX9S9wGPn6xCXaeCzUIUZ/erRp9HtWQTpOgOfbAxjSWgEimLe1/b1f/e1zXdKoMkEajXQDYC6QFJWEkM2DCHBmEDjho3p6pe7DHtBy7O3aJtFr7m7ib7ii4/OQL/20ay9tAo8oGtb8/mxGbG4WbsVfLr5Y32orVJRu2CtRR6kvP7972jMUeYcmcO4RuNoUqkrKKNpBtnJa657aMiCTW+DfSVo//o9+2+e2Zwda3ewJm0Nz3Z8Fl8n3xKJOzApkDNxZ3jc73FWHI7mbMIxAL4Y1Jw2NUtme6K2OgObPzGQFqPg0KAnXbs2ytlAnwlfvgr6NKp06WbeYq6wMrrBsZ/o2rI+OBZvX++8yP/Bik3uX8Un97Bik/tXeEUe4vTx8eHatWsYDOYpmIqiEBkZSbVq1QCyP2u1WiZMmMDOnTvz7KdatWpcvnz7Xe6IiIjsc8tMYCBoNPl/BAYWqVsHay2OlqBWqVi1ahVNmjQhODiYWrVq8UiHdphSboClPR16PkONGjWyC3IFBwezYeMGUnQpDO89nM3rN+fqe+rUqUyYMKFIcV29epW2bdsWqK1KpcLdxh2DyUBkSuS/+8Dem6+vb46CZAVWuSF0/Yhq3V/hj3Gts7fieWX5Md5bewq90cSBS/HZa20VBZpWN6+1Hd6mRv7J7bFfYEkPSIvNfijDkMHYv8dyMekiE0Mm8rjf44WP9w5u9lZ8O6QptpYaom5acDC0CWt7/8kbIW8A5j10B64fyIB1A1h1flXBisaUwbprIcrbwesHOXTjEOqMf2epqFR3/7evmCByr7kS+qW8/7bcydnamY/afkSWMYuJOybee6rvPdxaOuLn5Mfjfo8Tm5rFB+tPA9C3cdUSS24BbC0tGN6qFrq4Dvy8NyZ7yUu2g99BcjS0fa1oyS2YpylbOkBsyW6JJ4QQQpSHIie4np6eNG7cmGXLlgGwcuVKvL29CQgIIC0tjcTExOy2P//8M40aNcqzn379+rFmzRquX7+OoijMnz+fp59+uqhhFU379uZE1mTK/aHRQIcOxer+2rVrvPDCC6xatYrQ0FDOnjzGZ2+ORaW2ABfz9OxZs2ZlF+QKDQ2le7fuBDgHYKmxLPHiUlWqVMn3DYe8OFs542HrQaYhk+jU0t0+CJUKWo4BN3/8PexZPbY1j9apBMCi3RF0/WIHA77Zy+W4dKws1LzzeG2Wj8pjre2drhyBNeMhIcL8whjznpX/2/4/jt08xvP1nmdwncElEn7tyo7MGhAMwO7wOD7+8zzO1s6AOaFu592OiOQI3t3zLp1/68xnBz8jKvkuW54oCvw5EVaOKJH4hLgfHY05ilatpc4vz8EfY+99gtYGnlwMWltYORxSY+55SohXCC80eIEz8WeYdXjWPdvnZ+W5lTzx+xMcuXEk+7H3150mMV2Pq50l7zxep8h952dwS1/srSxI0Sfy2qZZt99ozEyCnZ+DY1UIGVn0C9TpBZMumbcnE0IIISq4AiW4o0aNwtvbm+joaLp27Zq9xnbBggUsWLCAwMBAZsyYwaJFiwC4ceMGHTt2pEGDBtSvX5/t27fzww8/ZPc3YsQI1qxZA4Cfnx/vvfcerVu3JiAgAA8PD0aNGlXSz/PupkwxJxJ5URSYPLlY3d+4cQONRoOrq6s5wUq4TOP6gahcfeEu+9pq1BrUqqKvIzaZTIwbN47atWvTsGFDmjRpQmZmJhERETg7O2e3++OPP7LbTJo0CXd3dyIiIgDzSOyUKVPo1akX3Zt25/OPPud6mvnNiJkzZxISEkJwcDAhISHs3bu3yLHmkpEIl/fgYK1l/rNN+N+jgahUcPFmWvao7cYJ7RjR1u/uVUpTY2C5uRAaA5ZlV6k+cuMIO6N30tO/JxMaTyi5uIGudb3436PmUf8ley/z037zmnJ7S3veafEO/zz5D282exM3GzeWnF7CoD8HoTflszWWSgWJl+HkKkiLK9E4hbgfmBQTx2KOUdfSDavMRKjapGAnuteEJ2ZD6g1YNRIKMLtkVINRNPZszIpzK7iedr3QsR65cYQP9n+Ao6Vj9jTnbWEx/BF6FYDJPWrjalf8vcr/y8lGy+CW1dG67mZPwg9suPRvFek9X0FGvHlbIG0xCgJaWJkLVAkhhBAPgAKtwV2wYEGejwcFBeWZ1Pj5+XH06NF8+/vuu+9yfD9y5EhGjizGu8/F5eMDw4bBDz+A7o6pa5aWMHSo+XgxNGjQgDZt2lC9enXat29Pqyb1Gdi/J1Wr3J5O9sorrzB16lQADCYD3/74Lc3q5i54VBjHjh3j77//5tSpU6jVapKSkrC0zPniKyYmhueff57du3dTq1YtFi1aRFxczkQqMTGRvXv3EnMzhoCAAJ4Z8gyValVi8ODB2euh9+3bx7Bhwzh7tmDVTe/px/5wMwz+dx611ppxj9SkbhUn5m+/wKN1ve6+1vYWgw6WDzbvMdxnAVRtnH2oeeXmfN/1exp6NiyV7ZfGdgzg7PUU1h2/xpQ/TuLnYUcLPzfAnOgOrD2QZ2o9w/7r+7mZfhOt2vzi8rsT39HAvQHNKt9x7+v2gXMb4ew6aDK0xGMVojyFJ4aTok+hUXKyeeuuhs8U/OT6/SFiJxxeDLtmQbv/3bW5hdqCGW1nkKJPwcuucIXbrqVe45Vtr6BVa5nzyBxcrV1J1xl4Z/VJANoFetA7uGqh+iyM51vX4Pu9bVFcdzHr4Nc8XqMrqmvHwD2ocD+z/NwMgyM/QJNh5jcPhBBCiAqq/MoM32+mTDFPSb6TyVTs0VsAtVrNypUr2bNnD926dWP3oePUbdE5x5ZKt6YoHz5ymN+2/oa7t3uxRm/B/EaDwWDg+eefZ8mSJej1+lyVpfft20eDBg2oVasWAEOHDs2VBA8cOBAATw9P/P380cfqUavUHD16lPbt21OvXj1Gjx5NWFgYGRkFWFdaEHV6QVYyhN9ef9yxlifLR7W8+1rbO+34FKL2QYux0NA87X3jpY0kZZnX+TX1apqdWJY0lUrFp/0bUr+qEwaTwovLDhMVn56rTYvKLXjC/wnAPJK16OQipu2blnOtc1B380j/qd9LJVYhylNoTCgAjZJjodmoHPtSF0i3GeY3gYIeK1DzyvaVCXQxz7CIzYgtUF2BdH0647eOJz4znultphPkGgTArM3niE7IwFqr5sPe9Up1r3IPBysGNK6NPqEZMVmX2Bq1HQYuh+c2gKYE6kUmRsHer+CcVOoUQghRsUmCe8utUdxbyZ2lJTz3XLFHb7MZ9dSqZMOoEcNZvXo1LVq0yJ6mfaf4zHhMigl3G/div1hycnLi5MmTDBw4kLNnz9KgQYNC71MMYG19e+qbRqPBZDSh0+no27cvH8z4gJMnT7Jjxw4AsrKyihVztrp9ARWc+K3ofbR4Edq9Dl2mAbDu4jpe3/E67+19r2RivAcbSw3fDGmCh4MVCel6Riw5lLtAzB3UKjUDggZwOfky26K23T5g7QT+neDSDpmmLB44j/h0ZEaWDY0NaggZXvgObq3HrVS4ta9n48/S548+fH/y+3u23RSxibPxZxnTcAydq3cG4ER0Egt3XQLg1S6B+LjaFjr0wnqhnR/GxPYoJg2f7p+LAmDnVjKdV29pfiPt4raS6U8IIYQoJ5Lg3unOUdwSGr0FuBIdze6NK81rpXSpJCQkcOnSJfz9/XO0M5qMxGXGoVVrcbIqYjXMO9y8eZO0tDQeffRRpk+fjq+vL6dPn87RpkWLFhw/fpywsDAAli1bhk537wqjyWnJZOmyULuoSden8+WXXxY73hycqkL11hC2ETKTC3duVor5s60rPPIOaCzYfWU3k3dNppJtJSaGTCzZWO+ispMNCwY3wdJCTdiNFF5ZHorJlH+RroG1B6JVa1l0alHOA3V7g2KEcxtKN2Ahypi7xprHnWvj1HiY+f9scYRthN+eK9B6XF9HX9xt3JkbOjd7FDk/fWr2YW6nuYxqaK4PYTCaeGPVcUwK1K3iyPOtaxQv7gLydrGlV706hKTYEJ0RxoGoHSXXuaUd+DSHy7vN2zAJIYQQFZQkuHe6NYoLJTp6a0i6xrRPZxPYrh/BLTvQtm1bhg4dSq9evbLbvPLKKzQMbkjvdr3p16EfP//0c/axESNG4O3tnf1xa93zwoULczw+c+bMHNeNioqiS5cuNGjQgHr16lGvXj26d++eo42npyffffcdvXv3Jjg4mBMnTmBvb5+jCFVe3F3cmTx1Mk92eZKQpiFkKCU0NflO9fuBMQvOri/4OUnR8GVT2Dc/+6ETN0/wyrZXsNXasqDLgkKvvSuuxtVcmNG3PgCbT9/g881h+bZ1t3Gnp39Pjt08lvNFd9BjMOzPkllrJ8R9Ik2fRkRmHMqTi6Hrh8XvMOxPOLUKds68Z1NrC2s+bfcpFmoLJu2YRLIu9xtpp+NOozeaC8C1826XvWzk+92XOHU1GbUKZvRtgIWm7P6Uvlwvk2lJ5xhy3Zb45ICS7dyvPejTIfpgyfYrhBBClKESWLjzgJkyBXbsKLHRW40xk+ouFmz69XtzMRB17hdC27ZtAyAiKYIsYxY1XWpmv5C6dey/WrZsmV2UKj+NGzfm8OHDuR739fXNsY1T586d6dOnDwCrV69m3bp12QnurWrKtxw6dCj76ylvTWHSxElcT79Oqi6VQS8OQmWjyvO8IqnTG44uM48sFIQ+A34ZBKnXwcGcxF5OvszYv8eiKApzO83F39n/Hp2Ujr6NvQm7nsKCHReZu/UCgZUc6JVPQZohdYew8vxKfjj9A8GeweYHrR3Bt3XZBSxEGdh1aRP/2/suH7b5kJ7+PYvfYfePIfqQeX/cai2gxt33+w5wCWBiyETe3/c+7+15j8/af5a9NORcwjme2/gcraq0YlbH29sKRcalM3Ozeb/Y4W1qUN+7+LNtCqNa6EwwGtiWOJhd2yPoVrdKya399XsE/vkALmwF3zYl06cQQghRxmQE9798fCAsrGRGb40GbLNiQKUGlxp5Jrd3qu5YHV8n32IXlyqsL7/8koYNG1KvXj0++eQTfvzxxwKfa2VhRXXH6lRzrIZWo8VaY16vqyhK8ffLtXWFkf9AnQK88FUUWPsyXAuFtv8zT+nFvIdvgEsAn7X/7HayWE4mdqvFI7XM2xRNXHGcY1GJebbzc/JjepvpvNX8rZwHjHo4vxkuFXwPYyHuZ6EH5wHQwNGvZDrU2sBTS8DCpsD74z4Z+CRdqnfhr8t/sevKLgASMhMY/894dEYdz9Z5Nrutoii8vfoEmXoT3i42vNIlsGTiLqjLe+HcRhL9nuCUUoMTMWeZun1uyfVfJRhajoOATiXXpxBCCFHGJMEtVQomlQU4eRdoj0KVSoWVxqoM4srprbfe4tixY5w8eZI9e/bQuHHje5/0Hw6WDvg7+WNlYY4/MSuRiOQIMgwlNHXZmH9xJgD2zYPjyyGwG3R8O7syqpOVEwsfXUh7n/YlE0cxaNQqZj8dTICnPVkGEy8sPcSN5Mw82z7h/wTuNu45H9Snwy8DzdWhhajoEiI4mhaFK2qqu9ctuX7da8ITX9yxP67prs1VKhXvtnyXd1u+S5uqbdCb9Ly2/TWupF7hrRZv0aTS7X15V4deYef5WAA+7FMfW8synASlKLBlKqg0OD/+Hm1rumPp/g+rLi/gdNzpe55eIGqNeap49VYl058QQghRDh64BPfWVK1ijx6WBI2WNJsqYHv3KpeJmYlEJkdmr/WqqO6cJqcz6UjXp3Mx8SJXUq+gN+mz70mhptMpinna8Q+98m+TfA22vAduNaHvN2SadIz4awQ/nfmp8NcrZQ7WWr4b0hQnGy03krN4YelhMvV5F8RJykriuxPfEZfxb+XkW9WUI3ZCWmwZRi1EyUvfM4ezllqCXUthe50GT0GzF6BWDyhA305WTvQP7I9KpeLjAx9z8PpBng56micDn8xuE5+m4/11ZwDoHVyF9oEeJRvzvRgywdUPmj4Hbv6M7RiALrYjAJ/uL8FRXDAX6cpMKtk+hRBCiDLywK3BVavVaLVa4uLicHNzK/fkxmQyYTTmX9FTURRi0mIwmAwoNgpG7l39syJwt3LHQePAjfQbJKQnkJSehJXOCgsLi1x78d6VSgUW1nB5FyRGgnO13G0cK8Og38CxCgZLOyZte41DNw5Ry7VWyT2hEuTrbsfXgxoz+PsDHItK5I2Vx5k1IDjXv9UD1w8w+8hsMg2ZjGs0zvxg3T7mSspn1ppf6ApREaXFceL0bxg9nWlUo3PpXOOxws90SNYlc/zmcRp5NmJis5zV1j9Yf5r4NB3Otlre6VG4LYlKhNYG+nxtftMPaF7DleBKtTmTUptD7CA8IZwAlxIoOpV6E75qCvX6QY97F+sSQggh7jcPXIILUK1aNSIjI4mPjy/vUMjIyMDGxib/44YMEjITsLe050LshTKMrOzoDXqSspKIyYqhQ/0Ohe+gfn84uQJOroQ2r9x+PCvVvJ2FnRv4tUdRFD7Y+x7/RP3DYzUe4/WQ10vsOZS0VgHuvPtEHab8cYrVoVcJ8nLkxQ45C2A94vMIPg4+/BL2C8/Xex5brS0EdTPvVXnqd0lwRcV18DtiMGCntiTYs1HpXivlBmx6C7rNAPu7j7raWdgxrtE4mlRqglatzX581/lYVh25AsA7j9fB3b6Ml5LEngfn6mBhmT0irVKpGNsxgJHLO2LhcIaZB79m3qOfF/9adu7monYXtxa/LyGEEKIcPJAJrqWlJQEBAZhMpnKfqrxlyxY6d857hEJRFAZvGExkciR/9PkDFyuXMo6u7OhMOsITw/F0NBdZ2nBpAzWdaxZsxMG/E1g7w4k7ElxFgdUvwtVQGLEZHLz4KvQrVp5fSesqrfmg9QdlXqyrsAa3qM7Z6yn8tD+STzadpaanPZ3rVMo+rlFrGFJnCB/u/5A/LvzBM7WeMU9TDugM5zaapynbud/lCkLcp9RqnrD347Gn/0Flob13++K4vMv8Bll6HDy76q7F/jRqDe282+V4LENn5K3fTwDQOsCNfo3zrn5eagxZsKwv2LjCC9tyTLl+pJYngc51uZwawM5rm7medr3426CpVODXAY78AAmXwaV68foTQgghytj9nQEUk1qtRqPRlOsHkO+xPdf3cDL+JD1r9sTd1r3cYy3NDxutDfU9zHvBpuhSmLpnKv3X9uej/R+RlHWPtV4WllCnF9w4wbWL2wj6KoikzZPhzBrwbgL2lbiYdJGFJxZSz60eMzvMRKsp5RfNJUClUvFez7o0r+GKosDLvxzl3I2UHG16BfTC2cqZH079kF04i0aDofmLYLpH4S0h7lftXodRO9ForUr/jah6/aDxUPOI5K7Cj3B+8fc5IuPTsbJQ82Hv+mW/7OXwYvPyjLq9c60nVqlUjOkYQFZMdzIjR6HLdCyZa/qZ1/ZycVvJ9CeEEEKUoQc6wb3fHbx+EK1ay7C6w8o7lDLlYOnAd49+R133uvx09ice//1xfj77M4a7JWz1zcVetmydRmDsRZz2fAmV6kOvuaBS4efkx9xOc5nbea55Km8FodWo+frZJvi42pCmMzJiySES0nTZx20sbHi61tNEp0bzT9Q/5gdrPQbdpmfv9StEhWEyQlYqEUkRfH5kFuEJ4WVz3e4fg2dd2DodInYV+LRTV5P4buclACZ0DsTXvYB7cpeUrBTY/gk4VIZmo/Js8lg9L3zsa6JP82XBjhJa5lKjPaCSacpCCCEqJElwy9FrTV/jz75/Usmu0r0bP2Dqe9RnWfdlfNT2I6w0VkzfP52Xt76c/wnVW3N1+GY+ubKLH7EhFoWrj39GaOL57CrDrau2xtXatYyeQclxtbPkuyEh2FlqiIxP59mF+3OM5D5T6xmmtJySa+ok+kzQl9A2TEKUhTNrYFZd9p34gcWnFnMl9UrZXPfO/XFXDDcXUroHo0nhzVUnMJoUald2ZETbGmUQ6H/s+xrSY6H9JLDM+407C42a0e39AYWVp7ew4OiS4l/Xzg0qN4CYM9lFrYQQQoiKQhLccnJrbXCx10tVYCqVih5+PVjbey2jGoyib0Df7GO5pi2r1bx79FsmKFpsgYFqPa8f/pLRW0Yz7u9x5b7WuriCvBz44ulGqFVw6moyj8/Zyewt59EZTLhau/Jk4JM590iO3AefBsCxn8svaCEKQ1Fg92wwZHJUZy4AGOwZXHbXv7U/buUG5v1e72HxngiORyehVsGMvvXRasr4z2VaHOyeA67+0OjZuzbt27gqno5WqN028fXx2cRmlMA2YoNWwph9BdpmSQghhLifSIJbDkJjQnl6/dOcuHmivEO5L9hqbRnXaBydqncCICw+jM6/dWbm4Zmk6lIBiEqKYvGxxYxS0nmEdLZrTBxJOILOqOO1pq+V+3ZQJaFLnUr8NroVAZ726I0Ks7aco+dXuzgRbU72I5Mj+eXsL+bGnnXAqDNXUxaiIojYBVePQvAgjsafxt/JHycrp7KNocFTMPBXsL37TI/ohHQ+/ysMgGGtatDQx7kMgvsPC0toOQa6vAf3qClgZaHhhbb+6OI6YkTPt8cWF//69h6S3AohhKiQHsgqyve7b098y5m4M9hZlvF6rgrCoBjwdfJl0clFrAlfw8uNX2b96fWoVWp0KtirUeFXyReNWoOfrR9NvZqWd8glpkl1F9a91Iav/gnn6+0XOHs9hd7zdvNCOz+uWM5na9TfhHiF4O/sDwGdzNWUU2/ec/sTIcrd7tmgUnM9eADX/t5Mv5r97nlKeEwKX2+7yM3rRk4QhoudJa52WlxsLXG1s8z+bGupKfibXCoVmEyw9yuo2hh82+Q4rCgK76w+SbrOSFVnG157NLAoz7b4rByg41sFbv5Ms2p8tbUhuszN/HZuOS8Gj8DZ2rl4MZz9ExIuQcuxxetHCCGEKEOS4Jaxs/Fn2RG9gy7Vu+Dn5Ffe4dyX6rrV5ZfHf+H38N/58uiXTNkzhUxdJmqNGrVJTXXP6lhqLbkSe4WwqDCiOkfh4+RT3mGXGGuthv91DaJbPS8mrjjO6WvJfL3tAj6VG4Lz3/xw+gfea/Ue1O0DYX+a1zWGDC/vsIXI341TEL4Z6vQmVJ8AQKN77H+bqTcyaulhLtxMA2DH1fwLUllaqHG1tcTFzhI3O/NnV1vtvwmxZa6E2MVwA6ttM8xJ5OhdOd4gWnv8GtvCzGt0P+hdDzurcvgzeXKVeauee4w038nOyoLnWvnz5YGOaKr+wuKTS5nQ9KXixXFgAVzeC02fN69jFkIIISoASXDL2LfHvwVgZP2R5RzJ/U2j1tA/sD9dfbvSb1U/rihXskdojCYjNxJukJCagFat5f0d7/PNE9+Uc8Qlr15VJ/4Y15pvdlxk9pbzRF3zxNayOqvPr+H5OqOpHtgNNFZwerUkuOL+lnoDnHyg9XiqW9vybO1nCfEKuespMzef48LNNCw1aoLdFWyd3YlP0xGfpiMhTUeazpjdVmcwcT05k+vJmQUO6SnL5/hE/xVHZz/JnMozcLGzxsXOkj9CzYWvejSoTMdankV7vsURcxZWDofA7vDMT4U6dWir6nyzoxGmrC38dOYXxjQahaXGsuix+HU0bxUUuQ/8Oxa9HyGEEKIMSYJbhi4mXWTz5c20rdqW2m61yzucCsHB0oGImxFEJEVk7wMbGRMJgFqlxqgY2RaxrRwjLF1ajZqxHQPoWrcSr684zom4dmhsl9Lvx0/44tG3aRPQGWLDwJAFFlb37lCI8uD/CLx8DNQaasM9f/8dvhzPtzsvAvDqo4HUyAyna9dmOdpk6o0kpuvNCW+6Lsfn7EQ4XUd8mp6Ef7/XGU3Z5/+qa0WwxSkGspU6FxYy19g7+5ijtQXvPlG3xJ5+ofzzPigmaPdaoU91trXk2RY1+O5gf2ys3FCUexfTuiv/jrDlXfN2QZLgCiGEqCAkwS1Dx28eR6PW8EKDF8o7lArl3EvnyjuEchfg6cCK0a1YtNuLL85uINNmF89+v4MhwS/x2vAmOFkUY5RGiNKkSwNLO1BrMJqMqFQq1Kr86xtm6Iz877fjKAo0qubMyLZ+bNmce3qytVaDl5MGLyfrAoWhKArpOmOORDgxOYj47U/zWuoKnILackRVlzSdgefb1MDDoRzeMIo6CGfXQe2eULVJkboY3qYGi/b4EZthYuXhKwxsXq3o8VSqD7Zu5lFcIYQQooKQKsplqHdAb7b031K2W2OIB4ZGrWJEW3+mtn4LX+MoUCz54Wg8j36xgy2nb5R3eELklpEIs+rC1o8AOHD9AG1+acPmy5vzPeXTTWFcik3DykLNZ082RKMumUq+KpUKOysLfFxtaeDtTIcgT3qHBOA67GfULtV5oa0v8wc3YXr/Koze3JaopKgSuW6BKQpsmQoqNTwyucjdeDpa81RTb8DA7IOL+f38H0WPSa2GGu3h2nHztkVCCCFEBSAJbhkxKeapcW42buUciajo+tfpwtoRw5nepwH2VhZ4pxwn8+chvLPsb+LTdOUdnhC3HV4EGQng4gvA0ZijpOhSqGRbKc/m+y/GsWjPJQBe7xqEv4d96cfoXhPGHYIa7QCYtn0a5+LO8f6O90v/2ne6tB0u74LgQeBRvMrNo9r5o9FAqs1GPj0wC52xGL8XGjwFbV4BxXjvtkIIIUrUrMOz+DLuSxIyE8o7lApFEtwyEJMew+OrHmdTxKbyDkU8QGpWv8HnQ+x5tKqOHpp9KGfW0WXmdtYeu4qiKOUd3kNJURQMJkN5h3F/MGTBvq/BsSrUM28JdDTmKFYaK2q75l6Dm64z8PoK89TkptVdeK51jbKLVWNerXP93Ca0R5cBsCh0UdmO4lZvAz2/gg5vFLsrH1dbejaoji6uLSmGOH4/v7ronQV1h87vgn05FNwSQoiHnEal4bL+MhO2Tijem5UPGUlwy8DiU4uJTo3GWlOwtWJC3EuyLpkxW8aw8PRsRg5/EaPakl7a/cSl6Xjp56O8sPQwMYWoKCuKz2gyMnHHRLqu6Eq6Pr28wyl/x5ebqye3eBEsLDGYDBy/eZx67vXQarS5mn+84SyR8elYa9V8WoJTkwtMUchYPZovFS2/KzbMMVlycPkzEPozZCZntylpUUlRBH0VRFTqNWg8GJy8S6TfFzv4o09ojmKwZd7Rb9Gb9MXr0JBVKs9fCCFE/sY3Hk8723YciTnC5N2TZQCjgAqU4I4fPx5fX19UKhWhoaHZj58/f55WrVoRGBhISEgIp06dAiAzM5PevXsTGBhIw4YN6dKlC+Hhee9hGBERgUajITg4OPvjwoULxX9m94k0Uxorzq0gyCWIdt7tyjsc8YBwsnKid0BvzsSf4WDiWTSBjxKiOsPTtc2FcTafvkHnmdv59VCU/DIsA4qi8OmhT9kYsZGYjBhi0mPKO6TyZTLB7jlg5QSNhwJwPuE86Yb0PPe/3XMhliV7LwMwqVstarjblWm4AFHJ0TyReYXTmOiBBS8qFvS9egJWj4asFHOjK0fgIx/4qhn80AtWj4G/34fDi293ZNCZn38Bfbj1XcbFRvLNX6+X6PMJrOTAo7WroYtvTbzuOn9e/LPone1fADOqQ/zFkgtQCCFEvn45+wtRyeZZRD0cetDRpyN/XvqTr499Xc6RVQwFSnD79+/Prl27qF69eo7HR40axQsvvMC5c+eYNGkSw4YNyz72wgsvEBYWxrFjx+jVqxcjRozIt38HBwdCQ0OzP/z9/Yv2bO5DO9J2kGHIYESDEdn7uApREobUHYJapWbRqUVQtw8qxcSMOhHMf7Yx7vZWJGcamLjiOEO+P0B0gowolqYfTv/Aj2d+pLFnYw4/exhfJ9/yDql8pceCjTOEPA/WjoC5ijyQK8FNyzL/OwVoVsOVoS19yzLSbNO2T+O8WkUDVRpWpFCFFFppspjn3xrs/10zrFZDlUbmbXyiD0Hoj7DzM9j28e2ODi2EDzxhVj34rgv8OgQ2vgknVtxuk5EA+kyikqKwOPYzL2EJp/8o8SnRYzoGoEtohWK04vvjhdtTNweHymDIMG8XJIQQolQdvnGYD/d/yIcHPgTM22LOaDuD2q61+ensT7IetwAKtE1Qu3a5Rx5jYmI4dOgQf/31FwD9+vVj3LhxhIeHExAQwGOPPZbdtkWLFnz22WclFHLFkaxLZnf6bnwdfelSrUt5hyMeMD4OPnSu1pm/Lv/F+fqjqWlhDadW023YCFr4ufH+ujOsPBLNzvOxPDprB290r8WzzaujLuupnw+4TRGb+OzQZ/g7+TPnkTlYamTLJuw9YfhmuGM98pNBTxLiFYKXnVeOph9tOEN0Qga2lho+69+wXP59RiVFsfjY4uz10yYVXEPhmimLgxGbeSL1Gj5OPubkduia2ydmJkPKtdsjvGCeYlyzCyRfgYQIiD4IKFCnN9Tvb26z7lU4tQpnjSWfKFquY2Ku2sSNHe/zzRPflNjzCvZxprWfN/uih2Kn1Ct6RzXamas7X9wGIfm/WS2EEKJ4Mg2ZvLvnXaw0VrzZ7M3sx221tnzV6SvS9Gm4WLuUY4QVg0opxPxFX19fVq9eTXBwMIcPH2bgwIGEhYVlH2/WrBkzZszgkUceyXHe4MGDcXV1Zfbs2bn6jIiIoGbNmgQHB2M0Gunduzdvv/02Gk3eG9TPnDmTmTNnZn+fmJjIypUrC/oUytQl3SUWJSziCccnCLEJKe9wRBFlZmZibX1/rp+O1EcyJ24OTa2bMsHgTaptNVJtb+97eTLOxLIwEwlZ5u8DnGBILQ2VbB+eJLe079+pzFOsTVnLC64v4KpxJc4Qx4rkFdS3rk8r21aldt37ldqow1TAJP9MvIkvjpmn8z4TqKZD1bwnFZX2PUzITCBdl45C7j+HKlTYWtoW+QWFymTASp8IiolMa3OhJp/rf+GcfBp1xnWsDakc9XyUi06NUaHCy94LjTrvv39FcTbBxKxQ88/4zSYafB2L9n+/+Ym3scu4yj8hC83JbiHcz79Dxb3J/av45B5WHOtS1rEtbRs9HHrQwa4DkPf9u6q/ilalxcPCoxyiLH/Dhw8nOjo63+MFGsEtjunTpxMeHs7ff/+d5/HKlStz5coVPD09iY+PZ8CAAXz++edMnDgxz/avvvoqr776avb33t7edO3atVRiLwlVNlShe9fuaNW5i6qIimHTpk339b8x1QkV7b3bU9OlZq5jXYEXMvV8vPEsy/ZFEp4EHx5WeLVLTYa3qYGF5sGvM1fa968rXXnJ9FL2//F0fTpf/PoFtla2vNf1vVK77n3r54GQlQzPrgILc6IblxHHwRsHaebVDFdrVwBSMvVM+2InkEFLPzc+HNY839Hb0r6HgV8GciEh/9oP/i7+nHvpXAlesSsj14zkh+P/mKtiXgmHK2CpsWRow6ElOor7qKKwNW4PoVeu8nv6Id5p9QRtqrYpfEcWB2DnZ3St5wHeTQt16v3+O1Tcndy/ik/uYcVw4uYJdmzYQX33+nzQ/YPsNzv/e/+SspLovqo7rtauLOu0DGdr53KK+P5V5Fe3Pj4+XLt2DYPBPKVLURQiIyOpVu326NFnn33GqlWr2LBhA7a2tnn2Y2Vlhaen+V1tV1dXnn/+eXbu3FnUsO47VmorSW5FqRpRf8Tt5DYrBS78k+O4g7WWD3rX55cXWuDrZkuWwcRHG87S9+s9nL2eXGZxmhQTnxz8hI8PfFz8iq7lLDYjltGbRxOVYl4zeef/cVutLR19OnLs5rHs4w+Nm+cgbD1YOWYntwD7ru3j9e2vs/vK7uzHpv95hiuJGdhZavikf4NynTp/7qVzGKcY8/0o2eT29pTo/275oDPqSnx7IpVKxdiOAajUBqJNm5h58KuiFZ7z72j+HH2wxGITQghx2z9R/6BWqZnWatpdZ/I4WTkxLngcl5MvM2HbBPTGiv2aqjQUOcH19PSkcePGLFtm3jNw5cqVeHt7ExAQAJinEv/8889s3rwZZ2fnfPuJiYlBrzffmKysLFatWkWjRrmrbAoh8qc36Vl7YS0pq1+EZf0g5UauNi383NjwcjtGtq2BWgXHo5N44stdfLHlHHpjwau+FoWiKMw4MIOlp5ey7MwyRm4aWWF/Iafr0xmzZQy7r+4mNCY0zzaP+z0OULzKtRXRnjnmz61fzvHw0ZijAAR7BgOw/dxNfj5gTuLeerw2Pq55vwH6oJq2fRoq8k7oVah4f8f7JXq9TrU8qelWBX1SCOeTTrH32t7Cd+LdDMaHmrd9EkIIUeJebvwyq3utJsAl4J5tB9YeyMBaAzl84zBT906VHTP+o0AJ7qhRo/D29iY6OpquXbtmJ7ELFixgwYIFBAYGMmPGDBYtWgRAdHQ0r732GomJiXTs2JHg4GCaN2+e3d+UKVOYP38+ALt27aJRo0Y0bNiQxo0b4+Xlxdtvv13Sz1OIB9qGSxt4a9dbrHLzNFd4PbMmz3Y2lhrefrwOq8a0JrCSPXqjwhdbztN77m7OXCu90dxvjn/Dz2d/xtHCkYSUBK4kXcFCXeorJEqcwWTgte2vcSb+DGMajuEJ/yfybNeySktcrFxYf2n9w/NHJ+W6ee9bn+ZQrXmOQ6ExobjbuONt701Shp5J/1ZNbhPgzsBm1fLq7YG2/fJ2jIoRtUqd68OoGNkWsa1Er6dWqxjTIQBdXDsURcPr2yay92ohk1wLS3CtUaJxCSGEgJvpN7OLHFZ3rH6P1rdNDJlIO+92rLmwhm+Ol9zSlgdBgV5hLliwIM/Hg4KC2Ls39x9Jb2/vu76omzZtWvbXffv2pW/fvgUJQwiRj26+3Zh1eBZL448x0MIa7ek/oNnIfNsH+ziz9qU2fPVPOPO2XeDU1WR6frWLlzvVZHR7/xJdm3sj7QYLTy7E38mfHSc2oDPq2JZwg+jkaLzsvUjMSsTD9v4vkqAoCh/s+4BdV3bRJ6APoxuOzretVq2lq29XloctJyI5ghpOD0FisH8+GHW5Rm9TdCmcSzhH5+qdUalUfLDuNNeTM7G3suDj/g0eyu3TSnrKc0H0aFCZzzdX5Wr0s2h9fmX0ltHM7DCTTtU6FbyTjAQ4ux686kPlhqUXrBBCPCQMJgNj/x6LVqNlSbclhXrzX6PW8Em7Txi6YSgJWQkoivJQ/k3Ny4NfYUaIh4ClxpJBtQdxIyOGjX5NIWJXntOU72RloeG1R4NYfcdo7md/naPPvD2cu5Fy13MLo5JdJb7v+j1OihMbjJaEYU8gGqZtn8bkPZN5Zv0zXEy8WGLXKy1/XPiDledX0rpKaya3nHzPPyLD6w/nr/5/PRzJLZiTH4/aENg9x8PHbx5HQaGRZyP+OXuD3w6bqx5O7lGbqs425RHpQ8lCo2Z0e3+MqbVJvDAGL4umNPEoZHX/5Gvwx1g4trx0ghRCiIfM4lOLORN/hmZezYo0s81Oa8cP3X/gjWZvSHJ7B0lwhXhAPBn4JDYWNiy2yDJvd5LPNOX/qu/txNqX2jCmgz9qFZy4kkSPObuYty0cQzHW5h66fojI5EgAnLRO/HTyJz4gk6qo2WTUsjN0CbVdahOXEceQjUM4fvN4ka9VFh6r8RgvNHiBzzt8XqDCcV52Xrn2fH2gPTEbXtgG6px/VlSoaOTZiCCnhryx8gQA7QM9eKqpTzkE+XAb0NSHHg0qo+g8CDvel/E/nyU5U8/ys8u5mFSAN5k8a4N9JfN+uEIIIYrlYtJFvg79mhpONe46K+xebLXmOhY6o47p+6c/fAUu8yAJrhAPCCcrJ/rV7Me5jBvs9a4P1k4FPtfKQsPEbrVYNaY1/h526IwmPtkYRr/5ewmPKfxo7um404z9eyxj/x6LQZfGog2voFapWacy8DTpVEbFFpM1585sZM4jc8gyZDHirxE5quzeL66lXgPMo+QvNXoJO61dgc9NykrixzM/cuLmidIKr/wZDWAymr/W5t5nsVXVVvzQ/Qd+2WUiJiULB2sLZvSrL+80lwMLjZovn2nEhM7mqus7zt2k1/y1fHTgIwauH8jfl/Pezi+bSgV+HSDm1D1niAghhMif0WRkyu4p6E16prWahpXGqth9Hrt5jF/O/sLYv8eSlJVUAlFWXJLgCvEAGVxnMKMajCJo0B/Q4KlCnx/s48z68W0Z1d4PtQqORSXy2JxdfLPjAkZTwYolXU6+zItbXsRgMvBuiylkrRrJxLN/Ue/fLcWWqww8SwaVgdGn1uFvVPPto9+iVWsZ9/e4e7/ILkNn48/SZ00fvjr6VZHOj8+MZ8aBGSwPe4CndJ74Db5qCldD823y16nrrDp6BYB3n6hLZSeZmlxeVCoVEzoH8uUzjbCyUHPpuhXKtRdQo2XCtgnMPjIb4603LPLi18H8+dL2MolXCCEeRCvPr+TYzWMMqj0oe4eBvMSmZnEltWCvv0K8Qvhf0/9xKekSr217rcJvyVgckuAK8QCpYl+FcY3G4WbjZn7AVPgpxtZaDW92r81vo1vh526HzmBi+p9neXL+Hi7eTL3ruTHpMYzaPIrErEQ+bf8pTU+tx+7sejZhIpTbsfyiMjCYDLKAOQfnEewZzJJuS6jpUrNA5fHLwrXUa4zZMgadUUfzys3vfUIeajjVoI5bHbZEbiHTkFnCEd4HFMW8NVBqDLj45jp8Nv4sz20YwRt//g6Yt6vp17hqGQcp8vJEwyr8Oqolng5WJCVU52bYi1SxDuS7E9/x4pYXScxMzPvEWwnuha1lFaoQQjxwutfozoj6I3ip0Uv5tklI0/H4nJ1MO2hkyPcHCLt+7xl1g+sMZkDQAPZf388H+z4o9E4OUUlRBH0VVKL7sZcHSXCFeAAlZSbxz889YVmfIvfRpLoLf77clhFtaqBSwZHIRLrP3sl3Oy/mOZqbokth9JbRXEm9wtSWU3nk+gXYNYujFloGqTJAnXM7lOVqE/VV6ay6dhCAAEdflvdYnl0iPyIpoty22EnWJTPm7zHczLjJh20+JMSrkMV47tDDrwdp+jS2Rz+AI17hWyDmNDQZBjbOuQ4fun6IQzH7ScrMwMlGy/S+MjX5ftLQx5k/xrWmbhVH9FlOhIUOxt+6EwdvHORyyuW8T3KsAsGDwKfo/yeEEOJh52DpwMuNX85eP5uX99ed5kZyFmBeUtJ99g7eXHWcmJT83zBXqVS80ewNWldpzarzq1h6emmh4pq2fRrn4s6V+H7sZU0SXCEeQG/tfotXdZe4dnmXeX/SIrLWaninRx1+HdUSXzdbsgwmPlh/hqe/2UtEbFrOthprApwDmNB4An2MVrBhIrj60+iVMFLfNWKckvsj412jecuU8C0wrwWqRHNRqrPxZ3lq3VO8t/e9u0+XLAU6o44JWycQnhjOa01eo3uN7vc+6S661+huXn98cV0JRXgf2T0b1BbQ4sU8D284vxdFUWHMqM57PetSyTH3Gl1Rvio72fDb6JZ0q+sFipbQo12obZyKv2NdABIyE3Kf1HseNH2+jCMVQoiKb9X5VXxx+AuyjFl3bbf1bEz20p4uPipqeTlgUuDnA1F0/HQbX/59ngxd3q+PLNQWfNb+MzpX60wHnw4Fji0qMZKdoUuwVGBR6KIKPYorCa4QD6Bnaj2DEVjqZA+nC1ZN+W5CfF358+W2DGvlC8DBiAS6zd7B4t2X0BsMKIqCVqPl47Yf83y95+HmGbB1g2dXgJ3bvS+QFgtx4bC4ByRcpppDNYI9gll5fiWvbX/tnn8ISlJ4YjgnY08ysNZAhtYdWuDzEtJ0rDwczZI9EWQZbv/Rcbdxp7lXc3Zd2fVgFX2IPgwRO6H+k+DknetwbEomx2NDMWVV4tFa1ekVXKUcghQFYWtpwbxBjRnX0bw8YM9ZC/rN28Oxq1H0X9OfD/Z9gN6Yx1quIiyBEEKIh9X1tOt8cvAT1l1cl/fv1H+lZOp56/fbuw7081ezfnxbPu5XHw8HK9J0Rj7ffI5HPt/GysPRmPKYVWdvac+sjrOo5lgNIP/1uPEXYf838NswHOaGcNZkQ3M0qFXqCj2KKwmuEA+g1lVaE+Dkx0oHe5JPryqRPm0tLZjasy6/vNCCaq62ZOpNTF17ikeWjOWdHR9gUkyoVCrzFNS2r8HYA+DqV7DOGz5tHhVKioIlPbBNi2Vup7l09+3O35F/M3rzaFJ0Jbc3793UcavDrz1+ZWLIxHtOp42KT+f7XZd4+pu9NP1wC6/9dox315zi2e/2E5d6OykfWncob4S8UaDthSqM+Atg5Qit8l4/NPGP7WCRjIXejw/7yNTk+51areJ/XYP4YkAwlhZqwm6k8NyiQ7haVmF52HKe2/QcMekx5sYmEyx6HH4dXL5BCyFEBaEoCu/tfY80fRrvtnwXe0v7fNvO2HCWa0mZ2Flqspf2aNQqBoRUY9v/OjD+kQCstWquJWXy2m/H6Dl3F3svxOXb3/ao7fT8vSdXEiMgcj8cuWPa8pm1sOF1lFOridSn8xU64lDQGXUVehRXElwhHkAqlYph9Z4nXa3mt8RTxZqm/F8t/NzY8HJbhrSsjqXHRhIt9vDHqeMs334IZd2roPt36rKta+E6Dh4Ivb6CxChY3ANtynVmtJvBM7We4dCNQzy38TnS9ekl9jz+a+2FtUQkRQDg6+SLRq3J1UZRFE5dTWLW5nM8NnsnbT/ZyrR1p9l3MR6jScHBygK1yjzC3Wvu7uyCEK2rtmZArQF3XWtT4TR4Cl4Lg0p1cx1ad/wqOyLNa6ufrNsWD4fib38gykbvRlX5eWQL3O0tiU+x5NjBAbRy78uxm8cYsG4Ah28cNu91rBjh4na4yyiEEEIIs3UX17Hryi56+vekrXfbfNvtuxjHj/vNy7Xe6F6Lqs45dx2ws7Lg1UeD2Pq/DvRv4o1KBSevJPPMt/sYseQQF+4sBmrIggv/oD/2M1dSohm3ojspi7rC2vGQmWxuU6c3PLOcCQ16EWKh4yVVJqdV5tk5FXkUVxJcIR5Qj9V4DE+tAz862qO/sK1E+7azssA/4DBW7tvR6HwxRPWj1j8vojq0kNgja4vecaNnoeeXkHgZwjagVql5s9mbjAseR6uqrUotQdwauZV3dr/DO7vfyVXYymA0sedCLFPXnKLNx1t5fM4uZv99ntPXzH8cvBytGdyiOkuHN+Pw5C4sHBqCvZUF0QkZ9J23m3/O3t4v9Grq1bzXNFY0RvOWT1jmvh83U7KYvPokxnR/AtUjGN28axkHJ4qrSXUXVo9tTS0vB3RGFZt2NqOt0wTS9GmM2DSCYzePmasp61Ig+lB5hyuEEPe12IxYZhyYgZu1GxNDJubbLkNn5I2VxwFoFnWSQW0CQKOBK1fMn299BAZS2cmGz55syNpxbWjlb14KduTMeT774nNm/raF+DSdecBhaR86H/qZV5LSCNda8L9azdA/uwq0/ybOLtWJ8qrLvFM/oTPqcsRTkUdxLco7ACFE6dBqtLzc5FX06XFQv1+J9r32wlo+O/QZ/k7+zO3wDUnfP0ed5HDmGnoy709n3lZF8kwzn6JNS208GCo3hMoNAPNo9KiGo7ITzyxjFldSr+DnVMDpz/dw/OZxJu6YiLOVMx+1+QiVSkW6zsCOczf56/QN/jkbQ2J6zlGqwEr2PFrHiy51KlG/qhNq9e3n2bGWJ6vGtGL4koNExWcwfMkh3uxei8aBCTy36TlebvwyI+qPKJHYy1pUUhRPLenIrizQdHwbmj6X47iiKLyz+gQJ6Xrc7Nz5pk9f3Gxl9LYi8naxZeWLrXj5l1C2nLnBn/u8aFP7LQICTlDPrR74ZcK2j+DiVqjesrzDFUKI+1ZcRhwu1i5MaDwBJyunfNvN2nKOiLh0rBQjH2+eh/pWkU1FuV3zQKuFDh3MXydFUy92Nz9W2kN68g7sUi4CMC30Ju1PGRnXMYDne3yJtnJdhlWqz+UD01l5fiUfxexksl8Hbr1ymbZ9Giryfr2mQsX7O97nmye+KYGfRNmRBFeIB1jPoP4l3meKLoWPD36Ml50X8zt/jdf2j6mavIsbvr348eoQ0pKzeOv3E2w4eY0Z/Rrkml5TIP8mt+gzYeMkaDcRlZN5/9Qpu6ewI3oHcx6ZU6ztewAikyN56R/zGtIPWs5kbxi8d/ogO8/HkmW4XUBHpYKm1V2yk1pfd7u79htYyYE/xrZh9NLDHIiIZ/qfZ+l33QsnSyfWX1zP8HrDK+Sa1Gnbp9E9PhoNVmDjkuv4mmNX2XTqBqj0vNq9Cq52luUQpSgpdlYWLBjchE82nWXB9ovsOqMlPrEDN+rqqFylEXPcPeh7cQs+Hd8q71CFEOK+FeQaxO89f0eryb8Ox7GoRL7baU5QX21VlRozr+Zu5K4GBxVMnmz+ftNbcPoPVICdkw+mek+y3xTE/rNVSEk38NGGsyx18eaN7pV5vIqWt1u8zZXUK/x27je61+ie/Rpq++XtGBUjalXuib1Gxci2iG3F/RGUOUlwhXjQ6dKJODSfLCtHgpoUf+TQwdKBb7t8i5WFFV6n18HB76BGOyoN+o6NBhXT15/hl4NR7DwfS9dZO5jcozZPNS3iaO7FbXB4MVzaAcPWg2MV+tXsx/bo7YzePJpP2n9Cp2qdivQ8EjMTGbFpFAmZiVTJGs2Qr6+jKLfXKltaqGlX050udSrRqXYl3O0LNxLpamfJshHNeWf1CX49FM3KI9fxqdmQcN0OziWcI8g1qEhxl5eopCh+DV3MRawJx4RVlWB87jgek5zJlD9OAdCqXiIzTk1G6zCZp4KeKp+ARYnQqFW82b02AR72vPX7CU5fS6bnV7uZ2MuShQ42/Gq8wccRm2nj26W8QxVCiPtKQmYC4YnhhHiF3DW51RlMTFxxHJMC9as6MbxHIxg2DH74ASoZCY79Hl63B1s16B3B59+/viEjoFYPqNYSnH1QAy2BnzP1zN0azqLdEUQnZDDup6N8X+0Sbz9eh887fM72qO05BgjOvXSuVH8O5UHW4ArxgEvKSqTvue/5+MT8YvUTnhDOxUTzu4u13WqbpwjX6mHeJmbAMrCwxNFay4x+DVj0XAhejtakZhmYtPIEwxYd5FpSRuEvGtQNHp9pLmO/uAckX6VZ5WYs6roIe0t7Xt32KivPrSxwd4qicDw6kc82hfHk14eJvOpJxrWenL1YDUUBJxstfRtVZf6zjTk6uQvfDQ1hQEi1Qie3t1haqPm4XwPeebw2ahVcja4DwNITvxepv/I0bfs0JqDFDTWz1Ube3zU9+5iiKLz1+wmSMvS421sRHJAIQF333AWoRMX0ZFMffhrZAlc7S2JTs3hneRojvcahWDsyZvtrLDi2AJMi2wYJIcQtHx/8mOc3Pc+Jmyfu2m7etnDCbqRgoVbxSf8GWGjUMGUK2Csw0BaPjNOQoMB+PXS7o+hTjXbmgo/OPjn6c7TW8mb32vz9anueaGjeou9IZCL9vt7DmyvCaehsHhjIMmZlF9d80EiCK8QDzsmhCl0tXDmoyuLU5e1F6uNq6lVGbRnF8L+GmysZZ/1bpc+xMvT7DqxzrinpGOTJplfa0b+JeX/U7edu8uisHaw4HJ2riNM9hQyHxz83b0uz5AlIvkZtt9os7b6UynaVmbp3Kr+G/Zrv6QaTws7zN5m8+iQtP/qHnl/t5Kut5zl/I5PMa0/iSUeGtfLlp5HNOfROZ2YOCKZbvcrYWZXMBBeVSsWItn4sHBqCjckfk86F1eHr2Hw6j+lH96mopCiOhi7hbZMFpzDyrSkjR+GJVUeusOWMeQuZD/vU40zCMWwsbAhyqVij1OLuQnxd+WNsawIr2aMzmPh8qzePunxMTZeafBX6FS9vfbnMtvMSQoj72fao7ay/uJ723u2p514v33Zh11OYuzUcgDEdA6hd2dF8wMcHRviDtYqj7s/DD3rweRbaDitwDD6utnz5TCN+H9OKJtXNy4rWH79G55nb+WDdKUZvHsvzm57nelrJ7bRxv5ApykI8BIYFPs26M1+z+PBsPq3evlDnxmfGM2rzKG6m32RG2xnYxl+CJT2h+8dQP/81vk42Wj57siHd63nx5qoTxKRk8b/fjjF3azjW2ttb8Nw5cfnOWcw5vqYWj9m9yItxX3Poy2eZ5vQeABrVS9hYL2XxFit+3LI7zz7DrhnJ2H7g3+8UrCqtxcVOy5O+4+hatwp1qziWyXpYc/Gp1gxc0Yw0LvHCTzt589GmjGzrd9+vx522fRr2KjVRKAwmgywVWP67fcC0dnOYutY8Nbl3cBUeqe3GO0dP0tCzIRZq+RPzoPFxNRefGv/zUbaG3WT7jnMMrtYQv9oBHLixjzR9Gg6WDuUdphBClJtkXTLT9k7DXmvP5BaT8/0bbzCamLjiGHqjQmAle8Z29M/ZYNgSGNae2BfqmItM3Vp7W0iNqrmwYnRLNpy8zowNZ4mMT+e7XRE4uQdi8tjPmC1jWfrYD9hp715fpCKRVx9CPASCgofS6shs/lLO83JKNN4O3gU6L12fztgtY4lIjuCNZm/wmFtDWNgFMpPAzqNAfXSqXYm/XnHhvbWn+f3oFS7FphXpOZygLeFqhT2ZdbmWknTHkcGYxw4TUVtHY8qsDOTcw1atgmY1XHGtspedcXup69WMlzr5Y6kp2yJIgZUc2DT0Q15cdoQDBnPxqfM3UvmgTz2sLHLvu3s/iEqKYvGxxRhMBoLIwvjv32mdUceio4tIvvYsKZkGPBysmNqzLmfjzpJpzKSRZ6PyDVyUGgdrLd8NDWH6n2eotW8+T97YwdCsxXw54EW87LwAuJ52PftrIYR4mMw8NJOYjBimtpxKJbtK+bZbtDuCY9FJqFXwcb8Gt18HGA2gsYDazaDBs+bHnnvu9trbIlCpVDxWvzKdanuydO9l5vx9nqTYulgqXTnPJp5bP54fn5h/17XCFYkkuEI8DCztGOpUmz26CywNnc+bbT+45yl6o54JWydwMu4koxqMYlCNHvB9d0i+An2/A7+CjwQ721oya0AwzzSrRtiNO6Yw3jFd+c6Jy3fOYlZytKnDrYk+XnH7SbTzJ8PKHQW4mXWJX658g7d1fR6vNBGt2hqAKxfDeKl/J/bH/M3EHYsIcA5gVsdZZZ7c3uJmb3VH8akofjscTURcGvOfbYJbEdf6lqalf75MiKJmL2Qnt7fYGjqz76L5fn7Upz7Otpbsi7mCjYUNjTwkwX2QadQqJveowx79Y3BsBx439zJykQPfDXHBwuYqgzcM5plaz/By45fLO1QhhCgzV1Kv8Ef4HzSv3Jy+Nfvm2y4iNo3P/goD4PnWNWhU7d+dCTKTYGFXaDnWvG3ilCnwzz9FHr39LysLDSPa+tGvsTdz/jnP0r0d0VvGcoYDdFr8GnO7vk997/y3MqooJMEV4iHRstkEnjrxNR19OhSovUqlopJdJZ4MfJKx9UbCT09CzCno9C40eLJIMTSr4UqzGq5FOjeHxEj4cjy4+MKwdWDvicHkQ/rex/k9/Hd2pX3IvE7zcLJyYlP6eS6kHOPtXW/jaePJ152/xtHSsfgxFMP5xDNcsvyApzv05tftzhyMSKDX3N0sHBpCkNd9NL0zK4XB57cxzmSFr8pA0h0JrsbkjpPOvA9uv8bedK5jfpe6m283OlXrlO+eeuLB0qpLPzj2Bo9oT7EiuT1PLtjD1N4+1HKtxeJTizkdd5rHTI+Vd5hCCFEmqtpX5afHf8LRKv/lTyaTwqSVx8kymKjuZstrj95Rr2L9/+DmGTBkmr/38QEvr2KN3ubFxc6Sd5+oy5CWvnz0pzs7U6cTa3GSJ+ZtoW9Df/7XNYgqRdnm8T4hRaaEeEio/DswufdyWvh2vms7RVFQFAULtQXTWk3j7eZvo7q4FS5th6bDoc0rZRTxXThXg87vQmyYufBU6k0s1Ba81+o9htcbzvGbxxm6YSjX065jVIxM3j0ZS40l8zrPuy+mTbrbuBOWEEam1UEWDg3B3sqC6IQM+s7bzd9nbpR3eLf99Q4+JiOO3T8j/l0jxinmD8NkAwN81qDGjkqOVkx5ok6O07Rqray/fVjYe0KlenS1OUuAuw2ZehNv/HaZppZv8VTgUxy4foCv4782F6cTQogHmM6oA8w7TVS1r5pvu58ORLL/UjwAH/Wtj43lv1OTjy2HE79CYHfzFkBloIa7Hd8Mac68znPw000CkzWrjl7hx/2Xy+T6pUUSXCEeMkryNQ5e3kqWMSvP4wuOL2DavmkYTUZUKhUatca8Xc+QNdD9k5zVn8pTy7Hw6Idw82x2kqtSqZjQZAKvN32dC0kXGLxhMDpFx5xH5jC74+z7Zu/ZSnaVaObVjB3RO2hcw4pVY1rh42pDms7IiB8O8c2OC4WvNl3Szm0y70Hs1yHXH9qfD5j3OQaY0a8BTjbmNTvX064z+8hsziU8eHvqibvw64AmI5bfn3SlbU13AL7YcombET14scFYbhhu8M7ud8r/37QQQpSSIzeO8Niqxzh0/dBd211NzGDGhrMAPNOsGq38zb8zib8E618Dey/oNbfMX2t1DKzOmjGP8sWAYBp4OzG6vf+9T7qPSYIrxMPk0g7WfNOE57eNZ+2FtbkO/xr2K3ND53Iq9hSZxkwI2wiZyeaDfu3NRQ/uJ63GwaMfmKfz/NAT9Oa9dofUHcL0NtPpV7MfNmobAl0CaV65eTkHm9Pjfo+jN+nZcnkLgZUc+GNsG5r5uqIoMP3Ps0xccZwsg7F8gkuLgz/GgZWT+Q+t+vafiqj4dD5cfxqAAU196BjkmX3swPUDfHfiO8ITwss8ZFGOArtC0OM4WKpYNCyEoS2rA7Dm2FU27alHHW1DarnWQkESXCHEgyfTkMm7e94lITMBNxu3fNspisLbv58gNcuAl6M1bz5Wy3zAZIJVI0GXAn2+Brv8+yhNarWK3o2q8sfY1jhYV+xiU5LgCvEwqdqUzjpwUFQsObUEk2LKPvRXxF98sO8DqjlUY17nedhd3Am/PAN/jCnHgAug1UvQZRrUfxK0t9eLPOH/BKMbji7HwO6uc/XOWKotWX9pPQCudpYsG9Gcp5qaK1z/djiaZ7/bT1xq3iPtperCP5B2Ex77BJxuV9y+tW4oTWekipM1b/eoneO0IzeOANC4UuMyDVeUsxrt4JmfoHJDLDRq3utVj/d71UWjVnEsKonz556ml+8Q1Cp5ySGEePDMOzaPiOQIxjYaSw2nGvm2Wx16ha1hNwGY3rcejreSSLXa/Fqmw1vg/0hZhHxX9/vWhQUhf22EeJhY2mJX81GeTEoiIjmC7VHbAdh/bT9v7HwDNxs3FnRZgHv8ZVjxHNi4QOf3yjnoAmj9MrR91fy1PgPS48s3ngJwsHSgvU97Ttw8QVKWedsjSws1H/drwDuP10atIrv4VNj1lHv0VsIaPAkv7oEGAzCZFMKup7B032VeWHqYPRfiAPi4f4Pbf5z/FRoTiped132xzlmUr8EtfVnyXDMcrCyIz1Qx9PsDXE2O562dbxGdEl3e4QkhRIk4GXuSJaeWUNetLkPqDMm33c2ULN5ba5791Cu4Co/U+s/2QXV6QYdJpRnqQ0USXCH+z959x9d8/Q8cf92RvZAhZIiIBAmJvdWsPYqWokZV6VL1K12qSkv7bY3SqlmzWqvU3nvPIHYQiZGILBmy7v38/rgVTSNk3Mjwfj4e9+Hez+d8zuf9uSeR+77nfM550VTrRt8H8WhRs/D8QtJ0aXx58EvMNebMaj0L17RU+P01w1o9ry8H+2J0H4YuHf7oDYu6QFI0YXFhhCeEExYXVtiRPdHHdT5m52s7sTN7PCW/SqXiraaehTP5VEIkaUlxnA6NYfYlM95afIJa32yn7bR9fLk2iB3/xNCnvjtNK2deBzkuJY5rcddkeaAX1fU9MLMR3NifsalJZQfm9K+DVgWXwuN5e/kaNlzfwIjdI3iY/rDwYhVCCCN49PlJrVIzvvH4p06uOG79eWKT0rD/Z/ZiAB7GwB+vQ6TMW2FsOUpwhw8fjoeHByqVisDAwIztV69epVGjRnh7e1O3bl3Onz+fo33/NX/+fCpXrkylSpUYMmQIaWlpeb8iIcTTVX4ZJ7UZHfXmnLp3igvRF/il1S/80voXfMwcYGlPeBgNPeeDW93CjjZ3NFrDcMmIc7C4C5N3fkG6Pp0J+yYUdmRPVN66fLZLFrWo4vRcJp9KSk3nYPB9pm67zNkZvbj7fV36z9zBpM2X2HHxHrFJhv+PXUpZ8EpNF37oWYMJXf2y1HMm8gwAAU4BRo1PFBOmNoZlxK7vzrS5YSV73qymRqWCoGvOuKtf4XLMZcYdGieTTgkhijWVSkXXSl15L+A9vEt7Z1tu6/lwNp69C8C4Lr6UsTI1dCKsHwGXN0Ho4ecU8YsjRwluz549OXDgABUqVMi0fejQobz99ttcuXKFTz75hIEDB+Zo37/duHGDL7/8kv379xMcHExERARz5szJ8wUJIZ7B1BJ8OjBQZccrlbpSxqwMlUtXpqZTTVD0YG5nmC25SsfCjjRvmv4ftPwSws8x4OwaTNMTWRC4oMj24oYnhjMzcCbX465n2VcQk0/FJqWy/UIEEzddpNsvB6kxbht95x0lau+v1Eg5ySFdVeKxpLKTNX3quzOtVwAHP23JwU9bMrVXAK/WcUOjznp/jpOlE719etOgXIM8xyaKsfIBYF4Kru3Osqu2k5qvOhmWkgo6X4fyJnXYdGMTSy4seb4xCiGEEWnVWgb6DeSt6tkv6ROXlMaYtUEAtKlWlk41yhl2BP4OF9ZC1S5QK/uhzSJvcjQlarNmzbJsu3fvHidOnGDbtm0A9OjRg/fff5/g4GBsbW2z3efl5ZWpnlWrVtGlSxecnQ33bA0bNoyJEyfy3nvv5evChBBP0X0OXmoN4/+73doR3twKWtPCiMp4mn3MmotreOVuEJWuT6UaGibsm8CczkXvy7Ow+DB+PfMrqbpURtQekWX/o8mnxqw9x4oTt1h58hYhUYnM6lcbe2uzZ9Z/N+4hx25Ec+xGNMdDorkSkZClTCV1OF+aLCPWtBwO3SZzqrK74RvmXKhSpgpfNPgiV8eIEkStMYyeuLjeMOzOonSm3QMbVyT8QQqz9l7jclAn3PzuMuXkFKraV6WuczEbKSKEeKGl69P5+fTP9KvWDwcLh6eW/WbjBSLjU7Ax1/JNNz/DBE73g2HTaLB1gc4/FZ3lF0uQPK/5ERYWRrly5dBqDVWoVCrc3d0JDQ3Fzs4u233/TXBDQ0Mz9Qx7eHgQGhqa7XmnTJnClClTMl7HxsaydevWvF5GgUtOTi7S8YlnK8ltqNPriEy8R7P7W0iw8uCOU4vCDskodHodMWUGc0TZg1/0IT7ynoo+2Yy9f83FPiGYCPsGpGstCztMAPSKnlLqUqy+sBqfSJ9sZ5ptaa2gr6Rm9TU9x0NiePnHHbxXXYOL9eM/jIqiEPEQrsYqBMcqXI1TiErOWpeJGiraqqhcCrxt9bxx+1dME1M54zUUXcQ1jkdcy/U1qFAV2MyLJfl3sCRxTXbCF4XANdOJsH/ck/+o/QJUCg3KqjgSYc7tS73wrLSRkFMhRGuK/qRwLzL5/Sv+pA2Na1fCLjYlbOLmjZu0s2mXbbkL0XpWnjGsVtGtgp7Aw3tR6dOpHzQG27Qkjlf+mJj9x595Pmm/3Ctii1o+28iRIxk5cmTGa1dXV9q2bVuIET3d1q1bi3R84tlKbBte3U7w2ne4lHiHipiBR1Oqt5mYac3T4mrIuiEsvryYVF0q86rO5a2LQzDVmLLe3h+/iMv43VwAPu3Bvzd4tQZN4a73dunkJX4L+g3HAEfqONfJtlw7oOOle3zwx2miktOZfAa+6lyN+JR0jt+I5sTNaO4npGY5ztZcSx2PMtSrWIa6HmWo7mKHqfafdj6xAK5chYbvU6/tR3mKP/BeIB/u/pBP631K+4rt81TH05TY38GSJroyTJ9HgE0M/Ku9/t1+rdroeXPhcfZfhZDLb+LcqG6WCctE0SK/f8WftKHx3Ii7wefrPsfD1oNJnSdhrjV/YrnElHTGT90HPKSJlwPjB9YzfAmcmgRpTcCyG/Vaj3zisf8l7Zd7eU5w3dzcuHv3Lunp6Wi1WhRFITQ0FHd3d2xtbbPd91/u7u5cu/a4tyAkJOSJ5YQQxnU/LgyvxChGYkYQekq1/x7XEpDchsWFsfDMQtL16YYN//QqpupS6RN5mittfqDMle2Ge18urAVLe3j5GwjoU2gxd/TsyG9Bv7HxxsanJrjwePKpwYuOExb9kNGrz2Yp42RjRr2KjxNan7I2qJ9w3ywAAX0NSyvVeTPP8QfeCyQ6OZrS5qWfXViUXGU8od9qcKufbRETjZpf+9Xm9TlHOHc7jmFLTjK0031idNcY22BsiVh/UQhRMl2IusAn+z4hTZ/G+Mbjs01uAX7YepnbsQ+xMNEwqXv1x/+3mVpClxmGSaZEgcnzp1knJydq1arF0qVLAVi9ejWurq54eXk9dd9/9ejRg3Xr1hEeHo6iKMyaNYvevXvnNSwhRA59dWs/cSjcRk9XTSrjj/1U2CEZxfi941Hx5A/JD1QqPo2+AIM2wohzhsmoLO3B6p8eJL0eDv0MMTefY8TgXdqbyqUrsy1kG2m6Z88i/2jyqQaeZQCo6GDFa3Vc+aFnDfaOas7Rz1vxc59a9G/oQdVytk9ObvWGYVNoTaHhu2CS/R/qZzl97zQalYYaDjXyXIcoIbxag5nNU4tYm2n5bWBdKthbkpiazvxT61l1ZRV/Xv7zOQUphBC5cyriFH039uVWwi0+qfeJYWLObJwIiWbR4RAARrX1wa2MJSRFw+5JkJ5iKCRf5hWoHPXgDh06lI0bNxIeHk7btm2xsbEhODiY2bNnM3DgQCZOnIitrS0LFizIOOZp+9566y26dOlCly5d8PT05Ouvv6Zx48YANG/enKFDhxr5MoUQ/xYWF8acc0vZg55YFO7oFUIDF/Blsy9xs3Mr7PDyZe/NvegUXca9rCpUGc91io49IXsMBUu5Q7OPDbMuPxJ6GLZ9YXi4N4QavcC3W5YJcwrCe/7vkabP+RJpZaxM+WNIA+JT0rE1z8MQ6x1fQcI96DQFTK1yf/w/FEUhMDIQ79LeWJoUjfuaRSHS6+BOoGHJrnL+2RZztDFj0aB69Pj1EFGhr2JXaSbfH/se79Le1C5b+/nFK4QQOVDDsQadKnWib9W+VClTJdtyyWk6Rq8+i6JALfdSDGjkYeitXfcBXNoAZX2hWpfnF/gLKkcJ7uzZs5+43cfHh8OHn7x209P2zZs3L9PrIUOGMGTIkJyEIoQwgvF7x6NWqbmgSs/Yplapi+xMw7lx5YPMC6Zv3boV3dinLKvz729R3epBn5Vw9k+4tNGQ8G4ebbhXt8uMAorYoFWFVrk+RqVS5S25vXkIDs0Al1qgefZMzE+t6sFNopOjC+TeW1EMJcfBvFZQrSu8tuipRT0crPhtYF16zzlC/M1+WHvO5KPdI1nReTnOVs7PKWAhhMhKr+hZfnk55++fZ0LjCWjVWiY0nvDM46bvvMr1yERMNWr+17OGYVm9E78Zklu/HlC183OIXhT/G+6EELny6B7VVF3myYhSdalFer3Y50JjAt4vQ8/f4OOr0PUXw/2E6n8lkefXQNixJ94/ExYXhs/PPnl+DxVF4WLURRLTEvN6Bc+WEg9rhoHWHF6Zbehpy4fAyEAAApwC8h+bKP4syxh6bm/sNfTmPoO/Wyl+7VcLdbozSbd7EpMSzcg9/4de0T+HYIUQIqvwxHCGbR/GxKMTORFxgpiUmBwdF3Q7jtn7DGvaD2/lhZeTDURehi2fg507dJwiQ5OfE0lwhXjBPO0eVRUqJux79jeULwRzW6jZDwZugA4/Grbp0mDjxzC/DcyoBXu+g+jrGYeM3zueK1FX8vwebr6xmdc2vMa2kG3GuIIn2/oFxN6ENuPBoXK+q+vs2ZlVnVfRuHxjIwQnSoRKLQxr4YZnnQDtSZr7OPFdjxqkx1cn5V4bNA9aZvt/lBBCFBRFUdh4fSPd13Xn8N3D9Kjcg9VdVlPGvMwzj03T6Rm96iw6vUK1crYMfamS4X7bVYNBlwLd54BFqYK/CAFIgivEC+ff96j+95HpHlXx2KPZpdVaeOMvaPAepCTAnkkwvSbMf5nbt0+x8MxCgDz3hDd2aYyJ2oSNNzYaMfh/ubIVTi0CzxZQ9y2jVKlRa/Ap44ON6dMnFhIvEM/mhn+v78nxIT1ruzKqrQ+pUa3Yf8aZyduuSC+uEOK5mntuLp/u/xRTtSk/t/yZcY3GYWWSszkq5uy7zoW7D9CoVfyvZw1MNGqIvwtpSdBsFFRoWMDRi38rduvgCiHy57/3qIpcUKkMwy/L+Rt6QG/sgTPL4c4pvj7xC2qVGjdFhTWaPN3PbGdmR1OXpuwO2829pHs4WToZN357L8Mst52nG2W94wepDzh+9zi1y9amlHmp/McnSga3BoYh8Nd2Q5Ocr638bvNK3HuQzKLDN/nlwBE2x4xmcsuvZfi7EOK56OjZkZC4ED6u+3GOem0fCb4Xz087rgIwtJknfi52hh2lPWDoPsP/h+K5kh5cIYTIC43WkCz2mEtYv9UsOLuYVF0q0zHntM6UiqeWcivycq6r7ejZEQWFzTc2Gz9m+0qGdUrtXIxS3cnwk4zYM4KtIVuNUp8oIUzMoWoXw0zluVjrUaVSMbazLx2qO6NSpxHxMIz3dnxIZFJkAQYrhHhRJaUl8fXhr1lzdQ0ALtYuTGw6MVfJrU6vMHrVWVJ1ejwdrRjeqjIkRBq+4AMws873XBci9yTBFUKIfBq//9uMpYimkMpF9HymmGA15yU4uzJXH/JfcnsJaxNrNl434jDl82vh3CqjLyx/OvI0IBNMiSfoMRe6/pzrCVU0ahVTXgugTnlfku/25EFaNG9vHZ6j9aGFECKnTt87TY91PVh1ZRV7wvbkuZ7Fh0M4FRqLSgX/61EDc60a/n4XlnSDuzmbh0AYnyS4QgiRD/+dlXq/SkdtEhnGQ/RpSfDXW7CgvWH24hww05jRpVIXKtpVzDLTdZ7E3Yb1w2HLZzmOIacC7wVibWKNVykvo9YrXmzmJhrmvlEHT4vGpEY1JfhBEJ/tlcnvhBD5l6pLZerJqQzYPIDIh5F8Wu9TpraYmqe6wqKT+N8Ww0itAQ09qONRBo7NhavboEZvKFfDmKGLXJA+cyGEyIcnzUqtV8Fs0lijgj/tq9PCojSY/TMJk6I8s1frs/qfGSc4RYG/3zOsTfr6n4aZoY0kRZdC0P0g6pWrh0atMVq9ogTZMY6ku2cIt+xGWFwYbnZuOT7UztKERW/W45WZKcQl3mFr2BrqXWjAa9U6FGDAQoiSTFEUhm4fyomIE/ja+zKx6UQ87TzzXNdnf53jYZoOl1IWjGrrAxHnYdsYw723HX4wbvAiV6QHVwgh8uFps1LfR8dQfTz0WmoorNfD0h5wdA7o0p9Zt17Ro+RnWPHxeXB9N9R8A3za572eJ7gQdYE0fRo1HWsatV5RgsSGYnltF9rU2DwtnVXOzoLFbzZEe78/qVHNmLvVlLgkGaoshMgblUrFq96v8q7/uyzpsCTPyS3AihNhHAi+D8Ck7tWxUqcZlgTSp0OP+Ub9QlnkniS4QgiRD1c+uIJurC7bx5UPrsCjHs64MIi8BJtHweymcGNftvXuu7WPdqvbcSbyTN4Cux8M2740TPTTdmLe6niKVF0q1R2qU7tsbaPXLUqG6HL+AJRPvJrnpbO8y9rwW//mKNGduBqRwpDFJ3iQ/NDYoQohjCQsLgyfn33y9PteEMIehPH2tre5+eAmAB08O/BOwDuYqE3yXGfEg2S+2XgRgFdru9LM2xFCj0DUVWjxGbjWMUrsIu8kwRVCiOeldAV4/zg0Gw1R12BRZ1gxAGKzfhBwtHDkbuJdNlzfkLdzRV0FjQl0m1Ug3yTXL1efZR2XUcdZ/pCLJ/v+7lEAqkQfpB4aJuwdn6d66nqUYXrvAFQqhTMPF9J++Rskpxvh/nQhhNGN3zueK1FX8jRqw5gURWHllZX0WN+Dw3cPc+jOIaPVO2ZtEPHJ6TjamDGmYzXDjkotYNgBaDLSKOcR+SMJrhBCPE+mVtDyC3j/GFTpBBfWwoGsE1xUKVMFTztPtoVsI02fh2GZPu3hoyDwaJz/mIXIpbC4MKZcXMl60iiXdJ2DOjO2By4y9Oro0nM9o3c7v3KM71odgAdcpvfKL/I3fF8IYXSPJl0E8jxqwxgikyJ5d+e7jD88HjszO+a/PJ/Xq7xulLo3nL3L9gsRAHzTzQ87fQwkRhl2OlV9PGJLFCpJcIUQojCU9oDev8Mba6DF54ZtaQ/h0iZQFFQqFZ08OxGTEsPhO4dzXu+9SxBjGIqFuZ3Rwwa4+eAm7+x4x2jfiIuSZ/ze8ahVarrwkL89R/AhydxRqwy9OicXwM91YPdEw89rDr3RoAKDqw4nPcmDa6lbGLFxfgFegRAix9KS4co2ri3pyiWdOWMUU9QqdaH04kYmRfLKulc4cPsAXSp14a8uf1GvXD2j1H0rJomv1p0HoGP1crSt6gRrhsKvjSDxvlHOIYxDElwhhChMlVqClYPh+ZGZ8OfrsLgr3LtIB0/DjLEbruVwmHJaMqwaBHOaQ/KDgokXOBlxkgO3D5CQmlBg5xDFV6als1Rw38Kd6apUUnWpLAhcQExSlGFm773fw8z6MLMR7Pvh8RczTzGqbTXa2I9Cn2bLzshfmL5/93O4IiHEE51bBX/2hf95wrJXaX7/GmEmJiy0MEWj1fB70O+cDj/9XENytHSks2dnpjWfxrdNvsXG1MYo9SakpPPWohNEJ6biYG3KuC6+cPRXuLYLKrd5/HdcFAmyTJAQQhQVNd+A6Otwein82hiX+kOp6VCdk/dOkq5PR6t+xn/Zu7+Bexeg5ZgCncHxVMQpQ7hOMoOyyOpJS2c9okLFJ/HXmTPyEtw8AEF/wcV1sOsbMLOD+m8bCibcA2unrMerVEzu0YQ+iz/gIt8x++I3+DpWpVUV54K8JCGEosC9i5AQYbjfFODSBri8CdwasFKXwPiEKyilHSmlUlHqn8MGbB3A2QFnAdgSsoWpJ6ZiZWqFjYkN1qbWGWupD6kxBICzkWe5+eAmNqY2WJlYYWNqg7WJNaXMSmFtav3E0A7dOcQfl/5gSvMpmKhN+KTeJ0a9dJ1eYcSfgVwKj8dEoyLO4kd04Qps/wrsvaDdd0Y9n8g/SXCFEKKosHaCrr9A7Tdh82g4MpPvrB1x6P3Hs5PbkINw6GdwqQONPyrQMAMjA3G1dsXR0rFAzyOKp38vnQWGpPbRc52iY0/IHtBowbO54dFxMlzfA+X/+cIk7hZMqw6udcG3O/h2A5vHCayJRs2ivj3pvCCCG3eseP/3QP54uwEBbqWe41UK8QJIT4XQQ3B5s+ERexNKV4Thpw3rubceBx0mE5aeRL8ZXlQsXxF9eiqJcfdpojLlqFohRa3OWAfbRG1CKfNSJKYlEvIwhITUBFL1qdQuWzsjwd1wfQN/XPojSyg9KvdgXKNxAIzeN5qLURexNrHGVGPKqXunsNRaciXmCr72vkZ/G/639RI7Lhruu/WueILdt7ahrD7/T2DzwOzJibcoPJLgCiFEUeNaGwZvh7N/Uv7Eb1DWz7Bdrwf1E+4sSYmHtcNAaw6vzDYkDwUk6mEUNx/cpLNn5wI7hyjernxwJdPrrVu3ohury/4AjYlhiN8j6SmGxPbyZgg7Cls+BY8mUP1VqD0AAEtTLSv6DqPnrMPcuJ/IoEX7+GtYKyo6WBXEJQnx4gk/Bws6QMo/t7vYuUO9oeDT7nGZ0h4AjF/3KYqiEBIeQrounVd1Kv7AknGkMFGjZ8K+CczpPIdW7q1o5d4q02lSdamk6FIyXvfy6UX9cvVJSE0gIS0h49/qDtUzylhqLdGqtdxPvk9CagINyjXgq4Zf4WrjavS3YeWJMGbvvQ5Av4aOfH92Au9jSrnkeGKb/h+lystIpqJIElwhhCiK1GoI6AP+rxMce40VV1bwdsRtHHQ6w7fmNs6ExYXReklrDtcYQpnYUGj/Azh4FWhYgZGBAAQ4BRToecQLzL4S9JwPqUlwdRsErTb8q9ZkJLhEXMDethyLBtWj2/zfSbWfR+/frzDn1e689ld7dryxAzc7t8K9DiGKgLC4MMITwjN6UZ8o6trjXtpWX4J7A7CvDM41oFJz8OkATtUMvbb/Epscyyf7P2HfrX3oFB26dMMXWatVCsGKnuGYMlWfaBi1kQ1TjSmmGtOM15VKVaJSqUpPvaZHPbkF7XhINJ+vOQfAy9XKEs5s1Co1P5FKlFqNRWIYs59LJCK3JMEVQoiiTKUiODaYPy79gbvaiX7XTsDF9dBsFBPvn+VK1BU+jb3MnH6rwbNlgYdT3aE64xqOo2H5hgV+LvGCM7U0DE/27WYYpZAY+Xjf2ncg4jzulVryW62mvHFTTaLtMvot1nA1OSyjxyi39Iqe+NR4HqQ8IDYllqr2VdGqtdyKv8X6a+uJS40jNiWWuJQ4HqQ8wFRjyoJ2C4x2yUIY2/i942mgb5D1d+LWScMydZc3G9ZNB9BaQFSwIcE1MYdBG7OtNyw+jHd3vEvIgxBGNBrBOwHvZC5wciGs/5C41lOg8YdGv66CFhadxNAlJ0nTKVQtZ8v/tXfA79eFpCvpoIIlSjLaMwsZ89JY+TKtCJIEVwghiriX3F7CUmvJRjsn+r3+p2HI5o6v+BI9Z9Cw4MxCvnxpLG5PGr5sZE6WTvTw7lHg5xEiEzMbwwMMk93UG2Lo2Q3eQcDVrSy0sGJwWXsU+9U43RzFwtPT+bLZl7jZuXEx6iLRydEZiWlcqiE5fdXnVTztPIlLiaPvpr6GpDX1AXpFn3HaXa/uwtHSkciHkcw8MzNju7nGHFszW8pZlXve74QQOfZoRvMGVRqw6vQCxvt0x9n7nyHGpxYZHtbOUHugoZe2YjMwsXhmvUH3g3hv53vEJMfwab1P6Vu1LwCHrt1n/v4beDvb8HHL3mj2fG+YG6Le2zmqt6iIT07714zJZswbUIdx+4YzChMaKCa8RTKRKiVjKaS8fJkmCpYkuEIIUcRZaC1oXaE1666t42azalR49yh/LWhNxztn+REzOpP+XP7IpunSiEqOwtlKZqwVhUilgpr9DI/E+3Dhb2qfX8Oo6DN8Zw8OldZjHdmPEet+ZfUbE/loz0fcTridpZo6znXwtPPE0sQSE7UJXqW8sDOze/wwtcsYOulT2ofVXVZjZ2rYZ641z1SX8s/a1UIUJeP3jud1RUvbkNm8obfg4YoB8Pldwy0wDd83JLblAp48t0M2dofuZvS+0SgoTG0+lVYVWnE6NIYft13mYHAUADsv3SM0OomfGn6AdttncOZPqDOoYC7SyHR6hQ//DORyRDymWjVz+tdGr7rP2sCFXNFbEItCLApAxtJnj75ME0WHJLhCCFEMdPTsyLpr69h4fSOdK3amV8RRnNBRDTXROt1z+SN7IuIEb29/O9M39kIUKisHqDuYMO+X+fAnT8woh625Iw46M06eb8ynfx1lsN8QVCqFUmalsDOzw9bUllJmpShjXgYAE7UJa7queeppLE0s8S7t/cR9C4MWsvzyctZ0XZMl8RWisITFhXE1cDF79ObokoLZho5NugeMjrmBm30lcHzyz/OzBEUFYaG1YEarGZimV+StRcfZcfFexv4qzjZcCo9n49m7pCb58kv7qZj6v26syypw322+yK5Lhuv5oWcNarmXZsi60XysmFAaFcNJJu1f32WpUEkvbhEkCa4QQhQD9Z3r42DhwIbrGzh18xRqlZo7qnTuYJjUoyCHSp2JPMPSC0vZfnM7AP6O/kY/hxD5MX7veOLVaqLij9MrrjQ/cJDeqnL8eawKgaGO/NS7Jj7ONgVybo1aw62EW+wO2037iu0L5BxC5Nb4veP5WDFBj8KaSh/z6rUvMNWYknLo+1z/ndAretL0aZhpzHg/4H0aOnRm3o4YNpzdj2LozKSWeyk+butDo0oOzNt/nW82XmR7cAJ906sw31+DrUkBXKSRLT8eytz9NwD4oKUXXQNcALhwYxfTFC1B6PhT9XgJNPjX0meiSCn4G7aEEELkm0atYXTd0bxT4x0WnV1Eqi410/5HQ6XC4sKMds6E1AT6bOxDv0392BKyhbrOdZnVehZ+Dn5GO4cQ+fXoPsNHvxMbVXGkqvR8b/oD5iRyKTyezj8f4LcDN9DrFaOfv0PFDmhVWv4O/tvodQuRF2FxYawNXEgDRcVa0okzKwvk7e9Eii6FUXtHMXrvaEJjEvh09Tl6/XqB9WfuoChQtZwtvw2sw+p3GtGokgMAbzX15H89aqBWwfGQGD76dQ1Jm78C/VOWCytkR69HMWZtEADt/Zz5qPXjHu6DXt2wQoVf7+WkfaVDNzbz479Lo4nCJwmuEEIUE+0rtmfdhXWoePK9fo+GSuVHdHI012MNa/5Zm1pjaWJJT++erOmyhrkvz6WxS+N81S+EsY3fOz7T78QVlZ7PSMFT9ZAR5h9iaRFParqe8RsuMGDBMe49SDbq+e0t7Gnq2pTDdw8TkRhh1LqFyIvxe8cTp1LhQQIfkPnnPTd/J2KTYxmybQjbbm7jcngCrSfvYvmJMHR6BU9HK37uU5ONHzShZZWyWe5Bf62uGz/3qYWJRkXNqA1YHp1G9IlVRrtGYwqNSmLYUsOMyb7lbZn8mj9q9T/XoyiQEAGudQ0TcYliwSgJ7pYtW6hTpw41atSgQYMGnDlzBoD69esTEBBAQEAAfn5+qFQqzp49+8Q6VCoV1atXzyi/f/9+Y4QmhBAlyt6bezE3M0etUmd55Geo1OXoy4w9OJY2K9vw9eGvM7bPbTOXrxp+hVfpgl1fV4i82ntzLzpFl+l34WdVOnvRMYwk6lh9Qb8G7gDsv3qfttP2sSUo3KgxdPXqil7Rs/76eqPWK0RePPqdeKhWE65WoUKV678TYfFh9N3Uj9P3TqOPacals91ITdfgUsqC//WswbYRzehUo/zjRPAJOlQvx7wBdfld1ZGHiilRmydy/V68Ea80/x4kpzF40XFiktJwtDHMmGxp+q87OFUq6LUU+v+dZR1gUXTl+x7cmJgY+vbty759+/D19WX//v307duXoKAgjh49mlFu1apVfP3119SoUSPbuvbv30+pUqXyG5IQQpRYn7b4lKknp/Jr619p4tIkX3Xp9Dr23drH0otLORZ+DDDcX/t6ldczZoWVmWFFUZft8MDoG/BrYxab2kGXarTwcWL0qrNEJaYybOlJetVxY2znaliZ5X86kmYuzShtVpqjd4/yVvW38l2fEPlxpcZb8DAGWn4JppZs3boV3dicDw8+GR7EO9uH8VD3gOSIzqTFNMbRxoz3W3jRu54bZlpNjut6yduRGYPbsGpha95QNvHhrJm8/dYwfMvb5eXSjCpdp+eDZae5ei8BM62auf3rUM7uX8sZPYwBMzvDLNOmVoUXqMi1fPfgXrt2DXt7e3x9fQFo2rQpoaGhnDp1KlO5+fPnM3jw4PyeTgghXmht3NsAsOH6hnzXFfkwko/2fMSpiFN0qNiBZR2WsbTDUtpVbCeJrSj+ylSEbjPhtcWg1tCqalm2jGhGyypOACw/EUaH6fs5HRqT71OZaExY2mEps9vMznddQuRL8gM4NAOCd0AuZ/VOTtMxb/91hvx2gcRkLQ9v9cMyuTmftq/CvlEtGNDII1fJ7SN1PMpQr89XpKHljfRV9J5zmBMh0bmux9gmbrrE3iuRAPz4qj8BbqUyF1gzDOa8BGkPn39wIl9UiqLka8aFuLg4PD09Wb9+PY0aNWLdunV07dqV1atX0717dwDCwsLw8fEhNDQUBweHJweiUlGrVi3S09Np1aoVEyZMwMoq67clU6ZMYcqUKRmvY2NjWb16dX4uoUAlJydjbi7LBhRn0obFW0lsvxlRM7ibfpevHL/CTG2W4+Pup9/nQNIBnLXONLBsAMDph6fxNPXETlP436ZnpyS24YukyLSfooBKhaIo7LujsDJYT5oe1CroWEFN+woqNE8ZbvmiKjLtJ3Kkwp31VLm5hKBKw7jt1BJ4dhvq9AoHwxU23IokLtEeADONjtZuWtq4qbHQGuf3ouLl2XhH7+SVlK8JUlXmHT81vvaFMx3Qvjt6fr+sB6CTh4rOFTMn7qUeXKL++bHctW/IWe+PCiPEDPI7mNXgwYO5detWtvvzneAC7N69m3HjxpGQkEDDhg3ZvXs3kyZNokuXLgBMmDCBc+fOsWLFimzrCA0Nxd3dncTERIYNG4aNjQ0zZ8585rldXV2feoGFbevWrbRt27awwxD5IG1YvJXE9lt2cRmTjk3iu6bf0dGz41PLKorC0fCj/H7hd/be2ouCQgu3FkxvOf05RZt/JbENXyRFov0ub4E9Ew330VmUBiD4XgIjlp8m6PYDwLDMydReAVSwz/tQxMB7gay+upoxDcZgpsn5l09FWZFoP5Ez6anwkz8oehhxFrSGn8Hs2lCnV1h/5g5TdlwiQvMXJqUPkX57KP1rvcSwlypRxsrUuPHFhBB18wKv7rDg+v0kTDQqfupdkw7Vyxn3PM9w6Np9+s8/RrpeoWP1csx4vWbme4kVBRZ0gLCj8N4xcCjcOSjkdzCrZ+V/RvnapEWLFuzdu5eTJ08yefJk7ty5Q7Vq1QDDh6sFCxY8c3iyu7thAggrKyveffddmWRKCCGy0dajLRqVho3XNz61XHBMMN3XdWfItiHsvbWX5m7Nmf/yfH5q8dNzilSIIiLpPtw9A5s/ydjk5WTNX+805t3mlVCp4FRoLB1+2s/KE2Hk9bv/c/fPsTZ4LbtDdxsrciFyLmg1xN+B+kMzktsnURSFLUHhtP9pHyNWHOee+XxM7fdhb+LJ32934/MOVY2f3AKU9sA+oAMrhjWiWjlb0nQK7y87xYrjxlve7llC7ify7u+nSNcrVHex48dX/bNOlBW8A0IPQc1+hZ7cirwxSoJ79+7djOcTJkygZcuWeHkZfiB27dpFeno6bdq0yfb4mJgYkpKSANDr9SxfvpyaNWsaIzQhhChx7C3s6ejZEQ87jywfxCMSI4h6GAVAOetyJKQl0K9qPza+spHpLadTr1w9ub9WvHgC+oJ3Ozi7HC4+vn/dVKtmdLsq/DmkAS6lLEhM1TFq1VneW3aKmMTUp1T4ZI/WxF17ba0RgxcF5V7SPT7d/ynHw48XdijGcWkDmFpDnTefuFtRFPZdiaTbLwcZtvQkV+5HYOk+DxPbczR2bsHW3r/j4+Rc4GE63D/BX34HqetRGr0Co1efZd7+6wV+3riHhhmTY5PSKGtrxtz+dbAw/c89xXo97PjacP/yS588uSJR5BklwR07dixVqlTBy8uLmzdvMn/+/Ix98+fPZ9CgQajVmU81a9Ysxo4dC8ClS5do0KAB/v7+VK9enaioKKZNm2aM0IQQokT6tsm3jK47OiNZPRt5ltH7RtNudTsWXVgEgJWJFZu7b+aTep/gZutWmOEKUbhUKuj8E5iXgg0jIDEq0+76nvZs+rAp3QLKA7DpXDjtftrHgav3c3Uaewt7mrg24fAdWRO3OPjp1E9svL6RD3d9SHxq0Vq+Jk9eWwJv7QCLUll2HQ+JptecI/T/7RhnbsWBKhUn77loLG8yoNoAZr48DfNcTkqVZ4d/wXz/JJZ0suElb0cAvtl4kSnbLud59MSzpOv0vL/sFNciEzE3McyY7Gz3hOtNT4YKDaHhe2DnUiCxiIKX/7nxgblz52a7b9myZU/cPmzYsIznDRs2zHZ9XCGEEE+mKAqbb2zm90u/czbS8H9o/XL1aeDcIKOMVm2U/+aFKP5snKHDj/DXW7BxJLy2KNNuOwsTpvWuSYsqToxZG0TEgxT6zT/K4CYVGdXWB3OTnM0e261SN/aE7WHD9Q0Mri6rRxRVwTHBrL+2Hn9Hf96u8TY2pjYApOnTMFGbFHJ0eaRWg1PVTJuCbscx44yOoN2HM7Y193Hk45d9OHj/Htam1vSt2vf5xtns/+DyRsyP/sTc/nP4aEUgG8/eZfquYB4kpzO2U7Wnrq+bF99svMj+f76wmvxqADVcSz25oKkldPjBqOcWz1/hTF0mhBAi39YGr+WT/Z9wMeoiPSr3YHWX1cx7eR6NXBoVdmhCFE3Ve0KNXuBW3zCRzBN0DXBhy4hm1K9YBoD5B27Q7ZeDXAp/kKNTNHNtRimzUvx97e8C640S+fdz4M8oKHxa71OauTYDICw+jM5rOrMzdGchR5dLt0/C8jcgMvOa0Hsu36PLzwcIijb8HNarWIZxvUyY2c8PPxc7hvoPff7JLYBLbfBsAUGrMY27wfTeNeld1zDKaOGhED5eeYZ0nd5op1t65CYLD4UA8FFrbzrWyGZSq7tnIDXRaOcVhUcSXCGEKKaauDRhXMNx7Hx1J+MajcO7tHdhhyRE0aZSQfc50PBdw/NsuJSyYNmQBnzavgomGhWXwuPp8vNB5h+4gV7/9KTVRGPC2IZj+b7p98aOXhjJ1Zir7AzdSSv3Vvg5+GVsD08MJzEtkRG7R/DtkW9J0aUUYpS5cHA6XFwH+rSMTUmp6XyxJgi9AuWtYPGb9ejW7AZTzn7Mt0e/LcRg/9H0/wyzPR/8CY1axaTu1Xm7mScAf52+zbu/nyI5TZfv0xwKvs9X684D0Nm/PMNbZTNpVGoSLOsF89tm++WXKD4kwRVCiGLK0dKRHt49KG1eurBDEaL4iQ+H/ZOz/TCrUasY9lIl1rzbmEqOVqSm65mw4QIDFhwj4kHyU6tuU6ENVe2ryoRuRZRXKS9+afULw2sNz7S9rnNdVnZeSe2ytfnz8p/02diH67EFP/lRvkRfNyS3Xm2grG/G5uk7g7kd+xBzEzXv+qk4/mAxk45Nwt3WnWE1hj2lwufEo4lhJMWZPyEpGpVKxWftqzCqrQ8A2y5E8ObC4ySmpOf5FNcjE3jn91Po9Ar+rnb80LNG9r+Tx+ZA/F2o9cZTv/wSxYMkuEIIIYR48eyeCDvHw5k/nlrMz8WODR80pX/DCgDsv3qfttP2sSXo7lOPS9GlsCVkS/HpBXyBqFQqmrk2w9POM8s+Zytn5r88n3cD3iU4NpjeG3sT+iC0EKLMocO/GHpCGz9O1i+Hx2fMSvxeSw82p/7OwvMLCXAMYEn7JUVj0kGVCtp/D0P3gmWZfzapeK+FFxO6GhL1Q9ei6DvvKLFJuZ/RPC4pjbcWnSDuYRrOtubM7V8n+/voH8bCgalg5w61B+bxgkRRIgmuEEIIIV48rceBdVnY/CnE3X5qUQtTDeO7+rFgYF0crM2ITUpj2NJTjF51hoRsephWXl7JqL2j2B0ma+IWFYqiMOnoJALvBT61nEat4R3/d5j/8nxe834NN5sikBA+SeJ9OP07lK8JHk0B0OsVxqw9R7pewbusNdjt4mzyWdpUaMPcl+cWrRE/5WtmmRQL4I2GHkzt5Y9GrSIwLJZes49w7xmjJv4tTafn3WUnuX4/EQsTDfMG1MHJ9ikzRB+aDsmx0OLzp64fLIoPSXCFEEII8eKxLANdZkBKHKx7P0f33bWo4sSWEU1pXdUJgBUnbtF5xgEi47P20rav2B6tSsvfwX8bPXSRN3vC9rDs0jI2Xt+Yo/J1nOvwcd2PUalUpOnT+HT/p5y/f75gg8yNK1sg/SE0/jBjWO3KE2GcuncCVOl8+0p1unl1oblVc3586cfntwxQbuh1EPgHHMu8IssrNV2Z1a82plo1lyPieXX2YcKik3JU5fj1FzgYbFgKbGovf/xc7LIvHB8BR34Fx6pQ47U8X4YoWiTBFUIIIcSLybstBPSDa7vg5MIcHeJgbcbc/nWY+Ep1LEw03LifyOdrzmWZMdnewp4mLk04dOcQ95LuFUDwJU9YXBg+P/sQFhdm9Lr1ip7pp6djrjFnqP/QXB9//v55toVso9/mfiw6vwi9YrxZfvOsZj8Yug+qdkFRFDYF7+Kb0+9hWWEuDWvcoK5HGdxs3ehk0wm1qgh/5N8/2XC7QHJcps1tqpVl4aC6WJlquBmVRM9Zh7ga8fT1ihcfDmHJkZsAfPyyN+38spkx+RFzW2j+Gbw8AdQ5WwpMFH1F+KddCCGEEKKAtZsItq5wfU+OD1GpVPSp786U1/wB2H4hgtWnsg5z7urVFb2iZ8P1DcaKtkQbv3c8V6KuMGHfBKPXvenGJoJjg+lbtS8OFg65Pj7AKYBlHZfhau3Kjyd+5L2d7xH1MMroceaW3rk628N20WtDLz45+CGKWRiq+AaMadmlsEPLGbUGmnwEKQ+y9OICNKrkwLIhDShlaULEgxRem32Ys7din1jV/quRfL3+AgBdA8rzXotsZkz+NxMLw/3Lldvk5ypEESMJrhBCCCFeXOZ28NZ2eHVhrg9tX70cr9R0AeDrdee5Hfsw0/6XXF8yrIkbLGviPktYXBgLzywEYEHgAqP24qbp0/jl9C/YmNgwyG9QnuupUqYKyzstp2ulrhy4fYCe63tyMeqi0eLMMV26Yd3by1v489KfjNwzkmux10mNbkxi8Gi+bDAW37JZJ9Aqsmq8BnZucGTmE9eh9XcrxYqhDXGyMSMmKY0+c49y+FrmLxeC7yXw7j8zJge4leL7Hk+ZMfmR07/Dg6dPFieKJ0lwhRBCCPFisy1vuIdRr4eI3N1jOa6LL8625sSnpDNq5ZlM6+SaaEzoX60/bT3akq7P+3InL4Lxe8ejVqmxVaCXojVqL+6J8BPcTrjNIL9B2Jk95X7MHLA0seSbJt8wqekkSpuXxsXGxUhR5kyqLpVV+8YSfXkD3A2kU6VODPYdgt39caREdKauW0V61nZ9rjHlm8bEcB9xUhScWvzEIt5lbVg1rBHuZSxJSElnwIJj7LwYAUBsUipvLTpOfHI65e3MmdO/dvYzJj8ScR7+fg82fGTsqxFFgCS4QgghhBAA6z+Aua0g6lqOD7GzMOGHV2sAhmVNFh0OybR/SI0hvBvwLiYaE2NGWqI86r1N1aUyEXOW6k1pcup3bt2/bJT6G5ZvyKouq+hbta9R6gPo5NmJlZ1WYmtqC8DfwX9zJ+GO0er/r4fpD/n94u90+KsDX4euZ1mp0lB3CLamtpgmdOB6hAqtWsW33fyK5/rLNfuBlRMcn5fthG/u9pasHNYQ77LWpKbrGbrkJKtO3uKdpacIiUrC0lTDvAF1cbLJwWRaOycACjT/xLjXIYoESXCFEEIIIQD8XzfMSrv2HcPsrjnUtLIjbzQwrJP73eZLBN9LyFLmQeoD0nRpRgu1JBm/dzzOqLFUYCwpbCSN/ooW9bzWcO+SUc7hXdobSxNLo9T1iOafSYluxd/iq0Nf0XN9T3bc3GHUcySmJTL/3HzarW7Hd8e+Iy0tiY+iYxhUsTNY2RMWncT0nVcBeLuZJ5XL2hj1/M+NiQW8tgje3JoxI/STlLU1Z/nbDfF3K0W6XuHjlWc4fD0KlQqm9gqgWnnbZ58r9Chc2QzVuhmWKhIljiS4QgghhBAAHk2g/jsQdhQO/5KrQz/rUAUPe0tS0vX838ozpOsez7K7N2wvLZa3YFfYLmNHXOw96r39WqfmFjaYAJ15yGiScUqOQz+nuWEZmTyIT42n78a+7AnbY8SIs3K1cWV6y+loVVo+2vMREw5PIDk95+u2Ps2u0F1MOzUNE7UJn9b7lK26srz5IBGrxh+iKApj/w4iOU2Pa2kLPmhZ2SjnLDQVGoHVsycAK21lyu9v1adRJfuMbaPa+tDW1/nZ51AU2Pk1qDTQckx+ohVFmCS4QgghhBCPtBoLZSrBrm9y1Xtoaapl8msBqFVwJiyWX/c8Hubs6+CLTtHJmrhPMH7veBwVFX0w4Tw6IlQKigp+UKXSWp1KnAo4MT9XPeqPLDq/iLP3zxKTHGP8wP+jmWszVnVZRT3neqy4soLXN77OtdicD3V/JOphFFNPTiU4JhgwrKc8sclENnffTF+XlpiHHICqXaCMJ1vPh7P7ciQAE7r6YWFaApa5SYmHvf+Di+ufWszaTMtvA+vyQUsvxnSsyjsvVcpZ/TcPwc2DENAHHIr5FwIiW5LgCiGEEEI8YmoJr8wCfRps+yJXh9auUJph/3zQ/mnnVYJuG9b1dLBwoKlLUw7eOUhkUqTRQy7O9t7cy5uKGnNU/KxKR61SZzz2k0Y7a2t4ddHjNUrjw3NUb9TDKBZfWExFu4p0rtS5AK/gMSdLJ+a0mcMHNT/g5oObxKXEPfugf4QnhvPdse9ot7odvwX9xt/XDF+GaNVaOlfqbLiH27YcfHgG2nxNQko649YZlsRp7+dMiypOBXJNz50uDQ5Mg13fGiZ9ewpzEw3/97IPbzX1zPl9xxUaGX6emn+a/1hFkaUt7ACEEEIIIYoUt3rwymzwbJHrQz9sXZldl+5xKTyej5YHsv6DJpibaOjq1ZU9t/aw4fqGfC1VU9Jcefc8TKsOqPhzxFn+fNpkXKd/h02joPNPUOPVp9Y779w8HqY/5P2A99Gqn9/HXY1aw9s13qabVzecLA1JZ3BMMGWtymJjmvX+2DsJd5hzdg5/X/ubdH06VctU5e0ab9PSveWTT2BbHoCpGy4Q/iAZK1MNYztXK7Dree4sy0DdN+HQDMN9slU6Grd+lQp8uxm3TlHkSA+uEEIIIcR/1XgNrB0Nz3MxPNZMq2FqrwBMNCqu3ktgyvYrgKyJm62L6yD+LtR7y7BczNOUrgBmNvDXW7BuOKQ9fGKxuwl3WX55OdXsq9GmQpsCCPrZHiW3CakJvLvzXV5d/yrnIs9lKXcn4Q6rr67Gz96Pma1msrzTclpXaI1a9Z+P6AemGpI+XRpBt+NYcPAGACNf9qGcnUWBX89z1fB90JjBvh+znVE513RpsO4DuHvGOPWJIk0SXCGEEEKI7Bz+Bea3gfTUHB9StZwtH7XxBmDu/uscvR6FicaEDhU7YKIxITYltoCCLY5U4OADtQY+u6hHExh2wNCzfmoRzGsN94OzFLsQfQGtWsvwmsMLfckcKxMr3vR7k8ikSPpv7s8vgb8wcs9IDtw+AEAd5zr82fFPFrdfTFPXpk+O92GsIdkLXIYODV+sDUKvQLVytgxoWOH5XtDzYOMMtd6AO6fg+m7j1Hl6qWGN3ctbjFOfKNIkwRVCCCGEyE7yA7h9Evb9L1eHDW1WidoVSqMo8PGqMySkpPN/df6PlZ1XUtq8dAEFWwz5dYf3joKV/bPLgqFXvd9qaPEF3LsAizpBekqmIq3cW7GtxzYalW9UAAHnjkqloneV3izruAx3W3dmnZnF9pvbORlxMqOMr4Pv0xPxE79BagI0Gs4fx8M4ExaLSgXfvuKHVlNCP8o3Gm6Y6fjkovzXlfYQ9n4Plg7Q8N381yeKPLkHVwghhBAiO80+hsubYP8U8GkPLrVzdJhGrWLyq/60/2k/YdEP+XbjBSZ1r1HAwRYzKfGGIce57WVVa+Cl0eDewPAFhNYsY1dyejLmWnNKmZcybqz55FPGhz86/sGa4DXULlubKmWq5OzA9BQ4OgtsXYj06MT30w4B0Le+OzXdS/AXJaUrQP+/DffD59exOYZh8O2+M/y8iRKvhH7tI4QQQghhBBoTw6zKKjWseQfScr6+qYeDFZ93rArAH8fC2H3pHtdjrzNs+zC239xeUBEXD/ER8KMP7J+c9zoqNoOqnQzPo65xcUEbWq1oUWTfW0sTS/pW7Zvz5Bbg7HJIiIAG7/DtlmDik9NxsDZlVNtc1FFcVWya6cuLPHkYa/hyys4N6rxplLBE0ScJrhBCCCHE05T1hRafwf3LsPvbXB3ar747TSs7ADB69Vn0OnOO3D3CmqtrCiLS4uPkAkhLBHsjrUUacoDpyTd4kJaA+72s9+UWW4HLwMyOI6U6sTbwDgBfdqqGncUzJuQqKWJD4e/34e7ZvB1/dRskx0Lzz/KfLItiQxJcIYQQQohnafQhVOlk6DXMBZVKxf961sDWXEtkfArTtobTxKUJh+4cenHXxE1PgePzDb1qPh2MUuVJVz8OWFrQPjkdn42fwsaPs9ybWyz1+4uU3sv5bNNNABp72dPFv3whB/UcPYyB00vy3tNf4zV4ew/49zZqWKJokwRXCCGEEOJZNFro/TtUzv2yM+XsLJjQzQ+ADWfvUl7bFJ2iY+P1jbmqJywuDJ+ffQiLC8t1DEXK+bWQeA/qDTG8r/mkKArTT01Ho9LwXpclUKEJHJ8L81823OdbnJlaMuuaAzfuJ2KqUTOhq1+hzwz9XJXzB682cOFvuH81d8c+WmKofE3DfdvihSGTTAkhhBBC5Mad03BjP2F+r9B6SWt2vLEDNzu3px7Sxb88W8+Hs+lcOH/uscGmsi1/X/ubAb4DcpywjN87nitRV5iwbwJzOs8xxpU8f4oCR38FrQXUfCPTrpjEVPZeiSQpVUeaTv/PQyH9n+ep2TyPSAskSH8KB+UlvtioQ5f+Gd0tF1M6OoofZ54iTa9k1JOqU0jT6f85VkGrUfFGwwp8/LIPJkVpRuJbJ+DcSkKrvs0vewxDrt9pXglPR+tCDqwQNPsYgrcb1gLuNjNnx8SEwPI3oN0kw/JS4oUiCa4QQgghRG5s+xJC9rM8ZGeOE06VSsU33apz7EYM9xNScEipQ3DaLm48uIGnneczTxkWF8bCMwsBWBC4gC+bffnMpLpISo4DtRb8e4FlGQD0eoXlJ8L4fsslYpPScl2l1joSs7L2hNxsxI30+wAcpiugQFwCWtIZoNnGYt3LpP3no2+qDmbvvc7JkBhm9KlJOTuLfF+iURyYCpc28HNIHVLTLfGwt+Sd5pUKO6rC4d7A0Ct/djk0/xRKuT/7mN2TIPws6HUFH58ocoyS4G7ZsoUxY8aQmpqKpaUls2fPxt/fn+bNm3Pz5k3s7OwAGDBgAB999NET69iwYQMff/wxOp2O6tWrs3DhQmxtbY0RnhBCCCGE8XSZjn5mI3pe3cV4cp5wlrEy5fse1Rm86AQ3rtXj47Z98LSpAKlJoEsxrPtp/s9nn+jrkBRj2J6ewppDP/KKoiVUUTitUhffXlyLUvDWjoz7Y8/dimPM30GcCYsFwMZMS/lSFmg1Kkw0akw16oznJhn/GraZZjz3wETdEVN37ROPqxa2nFrnl/K+0xnONphGuq1bRj1HrkcxfddVTtyMoeP0A0zrFUAzb8fCe3/AMBT30kbuOrdgRYglABO6+WFu8gIPs206EpZ2h3Mroen/Pb1sxAVDMuzZAjxfej7xiSIl3wluTEwMffv2Zd++ffj6+rJ//3769u1LUFAQAFOnTqVbt25PrSMhIYHBgwezd+9eqlSpwvvvv8+ECRP44Ycf8hueEEIIIYRxlfHkj3JV6Rt2ir+x5JyexwnntV1wZBakJ4Mu1ZDI6VLBsQr0nE+rqmX5zXUTDSJXYrojDXbqH9db8w3o+rPh+YaRcH13xq7hwHBM+QU4mp78XHpxk9KSuJF6A0VRjHPfp16XcS9kXKqaHzcEsfToTRTFsBRu77rujG7rQ2kr0xxVl65P527CXdxsn/Ee1B0JpR9S+sAUXtrdHbr9Ct4dAXB1SGLmmV+xTvqA6MRUBiw4xgctK/Nhq8po1IV0r+uhGYDCl5EtAcPw9qaVCznpLmyVWsKgzeDe8Nlld00AFGg1tsDDEkVTvm82uHbtGvb29vj6+gLQtGlTQkNDOXXqVI7r2Lx5MzVr1qRKFcOaXu+++y5//PFHfkMTQgghhDC6sLgwBt0+wDrSaIGWIYqGBYELDJM/xUfA9T1wJxCigiHhHqQ9BOXxUMlGdWpxRlONjUoAE0sHcLhae6g1ACo0fnySmv2g9dfQ7juWutViiDqNV0liBMmgAvU/vbgFJTk9maHbh/JL9C/8FvSbcSrdPRFlQXvWHzxNy8l7WHLEkNz6udiy5t3GTOpePcfJLcC6a+vosrYLe8L2PL2gRgutv4K+qwy95H/2gS2fQ3oq4/eOJzhxI9WrbaRexTIoCkzfeZX+vx0lMr4QZmGOj4AzfxJq6cuORE9szLWM6VT1+cdR1KhUUKGR4d+nCTsGlzdB1S7gUuv5xCaKHJWiPJpiLG/i4uLw9PRk/fr1NGrUiHXr1tG1a1dWr17N9OnTCQ8Px8TEhGrVqjFp0iQ8PbPeZzJ58mSuXLnC7NmzAUhKSsLGxoaUlBS02sydzFOmTGHKlCkZr2NjY1m9enV+LqFAJScnY25uXthhiHyQNizepP2KP2nD4q0ktl9McgxJaUkoej2W6Q/QqTSkmthgaWJJafPSOarjSozC1KAYLL2+w1Hx5tPybz2xnE6vIzwhHIXHH9c0+lRKpdwj2sINZ2tnNEaeIVav6Fkcu5igFMNovLGOY7HV5O+2MbU+lSYn3iFGZ0GT5CnoUWOpha6eapqVV6HOZQ9xmpLG95Hfk6qk8rnj55irc/YzZpYShf/VaZilxnLAbyK3kh+goKBChaNVWTaGqNgSaniv7UzhLV8N3qWeX0+ux+11+IQuZVjqCLbo6/G6t5rmLvnrjypJv4N28VfxvP0XQZXeI80k64RbrhHb8QlZzJEa35Fo4VIIERpfSWo/Yxk8eDC3bt3Kdn++hyjb2dmxatUqPvvsMxISEmjYsCHVqlVDq9WyZMkS3NzcUBSFX375hU6dOnHhwoV8nW/kyJGMHDky47Wrqytt27bN72UUmK1btxbp+MSzSRsWb9J+xZ+0YfFW0tovLC4Mz+mepOvTs+zTqrVcH349R8OG2wKxGy6wLMSbSOsr2FapTMMKWTsBhqwbwqJLi0jT/zP5kgKHsaQianzVKXSvOdCo9+IqisK3R78lKCKIDhU70DypOe3btQdgw/UNVLSriK+9b67qjE9OY9cf07DQxfNjWlf0qOlZ25VP21fBwdosT3EuubCE2IhYPq7zMV19u+buYN2rEH+XlfsmsPjyYgLSdQRqNAwIGMCcd+ew61IEHy0/Q9zDNKad0fPxyz4MbeaJ+jkMWU5Pb8XYaV5su++Fv6sd3wxsnO+h0iXqd/BsHASdpKX1VcOEU1m0heQvaWJu99xDKyglqv2eE6PMh96iRQv27t3LyZMnmTx5Mnfu3KFatWq4uRn+g1epVLz//vtcv36dqKioLMe7u7tz8+bNjNchISGUK1cuS++tEEIIIURhGr93PCqenHCoUOVq2PCotj7Y0wiVSs+ozQtJTddnKbP35l50ig61Sm14qNXMVaVTFjVj9Br2hOzJ66U80drgtSy/vJz65erzTeNvUKsMHxXjUuL45sg3DNw8kC03tuSoLkVR+DvwNq1+3IPXjSUkKmacdujEymEN+fFV/zwnt4lpicw7Nw8nSyd6+fTKfQUaE8JUKhaeWUiddB1HsWKDTsu+0wsJiwujZZWybBzeBH+3Uuj0Ct9vucSQxSeITUrNU7y5sfhIGIvve4NKzbevVC+8+4CLKt/uUNoDjvyaeY1jvR5SEgzPS1ByK/LGKAnu3bt3M55PmDCBli1b4uHhQURERMb21atXU7ZsWezt7bMc365dO06dOsWlS5cAmDlzJr179zZGaEIIIYQQRpMl4fzXQ6focpVwmptomNa5D4rOgmjVIX7acSVLmSsfXEE3VpfpMf/Lh+BShxEqC670+tuIVwftKrZjQLUBTGs+DRONScZ2OzM75raZi42pDaP2jWL6qenolawJ+SPB9+LpM/coH/4ZSIXEs/iqb3LTrRsrhrelrkeZfMW45MISopOjGeY/DHNt3oZujt87HrVKzUV0zCWVNmgJ1JtzcvnrkJ6Ka2lLVg5tyMBGHgDsvHSPjtMPEPjPbM9Gp0sjadW7bN22EYABjTzwc5FELQuNFhqPgORYOLHg8fYLa+Enf7h5qJACE0WJURLcsWPHUqVKFby8vLh58ybz588nJSWFjh07Ur16dfz9/Zk5cybr1q3LdMysWbMAsLGxYd68eXTr1g0vLy9u3brFl19+aYzQhBBCCCGM5kkJ578fVz7ImqQ+TZ0KZalm+xIa8whmH9nLqdCYZx+kVkOH/4Gih82jIX/TqQAQnhgOgIXWgo/rfoy1adb7G6s7VuePjn/ga+/L3HNz+Wj3RySlJWUqk5iSzqTNF2k3bT+HrxtG7fVxvY+i1lKt2yi0mvx/9KzpVJM2FdrQzatbno5/tKZwqi6VGBW8rUqmGYncQE+3O+dIm1kfbp/EVKtmXBdfZvathbWZltuxD3l11iEWHjTMLG1U59dgGfQ7dXRnKGtrxsg23satvyQJ6AM25eDwz5CWDLo02PWNYcZyB5/Cjk4UAUYZAzx37twnbj9x4kS2x4wfPz7T6y5dutClSxdjhCOEEEIIUWyMa/4W76y24WZqGT5ecYaNw5tiYfqMiaNcahtmWj69xDBrbJWOeT7/+fvnGbR1EENrDGVw9cFPLVvWqiwL2y3kq0NfsfnGZgLvBdLIpRGKorAlKJwJGy5wJy4ZAC8na8Z39aVRpY6Q+H9g5ZDnGP+tfrn61C9XP8/HP2mY+X6VjgAlkU9VFnwWG4qJ+vFH5A7Vy1G1nC3v/n6Ki3cfMG79BY6HxPBdj+rYmJv8t/rcUxTid01GrZixVNeaSZ19jVNvSVWtOjiEQhtT8LUFWxV0Moc9KfClE1SqBFdy90WTKFmM0oMrhBBCCCHyppqDD/Nf+QhTtTXX7yfy/ZZLOTuw9TjDWp+VWuX53GEPwnh357voFT21y9bO0THmWnO+a/odi9svppFLI27cT6T/gsO88/sp7sQlY2Gi4dP2Vdg0vCmNKv2T1BohuY1MiuREePadJzmV3TDzdLWab1QpNLErDeX8DYWv7oCzK6hob8madxvRu65hfpmN5+7SecYBLtx5kO94Ui7vwCb2Est1LajpU5H2fs75rrNEe+klOKOHmYlwIw2amUKiHg6ngEYDzZsXdoSikMksTkIIIYQQhczLyYZ3WtkzY/d5Fh6CNtXK0tjrGUmhlQM0/b88nzPqYRRDdwwlNiWWqc2nEuAUkONjVSoVVUpXZ8q2y8zafx6t66+YlGpAa9dufNmpGuVLWUBqEsztDA3egeo98xznI7POzGLFlRUsab8kV7H+V46HkSsK7BoPd89A4O+Yd5zCdz1qUNejDGPWBhESlcQrMw8yvqsvr9VxQ5XLpY4eubv5f7gqapbQkUVd/PJczwtj7FhYuBCS9NDQFGzVsCUZUgGtAnKb4wtPenCFEEIIIQpZXEoci28NpazHDgA+XmlYpiZHEqNgw0cQfT3H50tKS+K9ne8RFh/GF/W/oKV7y1zFu+NCBK2n7GX6rmDSiMfEJA3zcmtx8dqMo+0//SfnVsDtE5AUnau6nyTsQRh/Xf2LAMcA/B39811fjqhU8MZaqPkGXN8DMxvCvh/o4e/E3+83ppKjFSnpej5ZfY7/W3mGpNSsS0c9S8jlM3jEHWODvgE9WzXC3d7S6JdR4ri5wcCBYGpqeB2pgxOphteDBhn2ixeaJLhCCCGEEIXMzsyOBuUakKQ9j7VlEnfjkvl6/fmcHRx5EU78Bls+z/H5LkVfIjg2mKE1hvKaz2s5Pi4sOom3Fh3nrcUnuBXzEDOtmpHNG7H1tdXUd67P8svLGbp9KDEPo+HobDC1gYDXc1x/dn458wvpSjrDaw1/vj2clmWg688wcBOUrmCYzOi3l/F2tGTd+03oGlAegL9O3abbLwcJvhf/jAofUxSF0XuS6JgykTW2/RnSNOs6yCIbY8calgYKTodlSaDD8Fp6bwWS4AohhBBCFAldvbqiV3S0qXcHMCRNW4LCn32gRxPD+qBXNsPV7Tk6V62ytVjVeRXvBbyXo/Ip6Tpm7LxK6yl72XHxHgCtqzqxY+RLfNCqMs7W9vza5lder/I6x8OP8/q67tyOvmyYCMvMJkfnyM6VmCtsur6JxuUbU9e5br7qyjOPxjDsALQYA9VfBbUGKzMt016rwbev+GGqUXMlIoEuPx/k78DbOapy9anbHLsRzXnFg3d6vIypVj6W59ijXtw4LcQq0nsrMpHfJCGEEEKIIqCFWwtsTG0ISdlDyyqOAHyx5hz3E1KeffDL34CJJWz+xLBcSjaWXVzG7QRDAuZh55Gj3tC9VyJpO3Ufk7dfISVdj2tpC+b1r8O8AXVxK/N4SK2J2oTP63/O2IZjcU5JxjFdD/WGPDv2Z/jl9C8oKHxQ64N815UvWjN4aRQ0/OdLgYRIVDMb0NfiKH+90xD3MpYkper48M9Axqw9R3KaLtuqYhJTubHhRzqpD9OzZnkaeNo/p4soQR714oL03opMJMEVQgghhCgCzDRmdKjYgeDYYN5saUppSxOiElP57K9zz1531c4Fmn0M0dfg8C9PLLLi8gomHZvEd8e+e2pViqIQHpfMweD7zA7SMeC3Y4REJWGqUfNBSy+2f/QSrauVzfb4V91f5rfbdzD1bgv2lTh051C+1o0dXms4H9f5GF973zzXUSCirkJSFPw1BL9dA9nYz4W2vob3ZemRUHrOOkRoVNITD52x4Sjv6Zfxvul6PutQ9XlGXXI86sUF6b0VmcgsykIIIYQQRUTXSl0JeRCCnYWGia9U553fT7H9QgSrT92mZ23Xpx/c8H04vRSu74YmHxkmSfrHztCdfHv0W9xt3BnXcBwAaTo9N6OSCL6XwLXIfx73ErgWmUhCSuYJk5p5O/J1F18qOlg9+yLM7VB/FAQPY9gSsoVRe0fR3qM9Xzf+GgutRW7fEiqVqkSlUpVyfVyBq9AI3j8B27+E00ux+a0ps5qNYoF7ZyZuvUbQ7Qd0nLGfH1/1p63v46V/ToREY3V2IZYmKcT4D6OKjXkhXkQxN3Ys7NsnvbciE0lwhRBCCCGKiOqO1Zn38rx/nkO3gPKsDbzD1+vO07CSPS6lnpIgas1gwHqwKZ8puT0QdpxRe0djobalpukoPlt5g+DIc4RGJZGuz75n1USjwtlC4fOutWjn55y7yZ3MbcHclmbWjrRyb8XmkM3cjL/JTy1+wtkqZ+u8now4ya34W3Ty7IRGrcn5uZ8nyzLQ9Rfwfx02fIRq1wTe7OGB/9BWvL/sFHfjkhm65CRvNanIJ+2rAPD1XydZoN3GPbUT9TsNLuQLKObc3ODy5cKOQhQxkuAKIYQQQhRByenJfN3FjyPXowl/kMyolWdYOrg+anXWRFNRFMIfJHPtnjnXzocSfC+B8Ii7BMbe56HjVFBB7M1+LE1OBBIzHWtjrsXLyZpKjtaZ/nUrbcHOHdtpW71czoM+8yfcuwhNRoBFaSxNLJnSfAq/nvmVWWdm8frG15nWYtozl/pRFIUfj//IpZhL1HOuRznrXMRQGDyaGCahOrsC/HpQW6Vi0yAvPt8QzObgZOYduMGp0BjqeJShRtQmHEweENFgJGoT08KOXIgSRxJcIYQQQogiJE2fxsDNAyljUYYZLWfwv5416P/bMQ5di+K3gzdo7uP4z7DiRK7dSyD4n6HFiamPJjVS+NVkGh6qcDqlfY2JhTdpcbVxNvOikpshga3kZI2XozWVnKxwtDYzztI7igL7J0N8BLw0OmOzWqXmvYD38CrlxZgDY3h/5/ts7bEVS5Ps13zdFbqLoKgg+lTpU/ST20e0ZlDrDcNzRaH09hHMjDnH9juVGeY8jFOhsZwKjWGr6TYepplQtsvHkPYxVKoEV64UbuxClCCS4AohhBBCFCEmahNszWzZf2s/9x/ep5m3I280qMCSIzf5ZuNFvtl4MftjNSoqOliTrvaiasxx/qpzDU2DX6joYIWVWQF/7Lu2C+5fMdwLbJr1Xt22Hm1xt3En8mHkU5NbnV7HjNMzsNBaMKRG/mdhLjQ1eqG6e4aXPQ9x6s5pBph/whlLb0ZHDWH5js8gRQ8mJtC8eWFHKkSJIgmuEEIIIUQR09WrKwduH2DT9U309+3PZx2qcPDafa5HGoYX2/5rWPHj3ljDsGI96byzbQFXb7rx0dWfUbV7Ewo6uQU4OhtUaqj3drZFqtpXpSqGWYNDH4TyS+AvjGkwBhvTx2vlbryxkWtx1xhSfQgOFg4FHnaBUKnAvzd4tYG1IynFWtamjePoDS+cttzFPCbZUE5RZIIkIYxMElwhhBBCiCLm0Zq4a6+t5Y1qb2BpqmXNO40JjozHvYwVDtamTxxWrFf0fL5vDMfunaSiez0IXw07x0OX6QUbcNQ1uLoVqnSC0hVydMjG6xvZdGMTF6Iu8HOrn6lgWwFFUVh0fhE2pjYM9BtYsDE/D1b20HcRvNcVlWoXDdIvQsxDwz5TUxgwQJa3EcLIZB1cIYQQQogixkxjRnuP9lyNucql6EsA2FmaULtCGRxtsr9ndvKJyWwO2Uwr91Z81nYOKo+mcGox3D5VsAEHLjP8W39ojg8Z5j+MT+p+Qmh8KK9vfJ1Ddw6hUqmY9/I8pjafiq2pbQEFWwg+/RnmJcP6h4+36fXSeytEAZAEVwghhBCiCOrq1RWtWsvF6Ozvuf23RecXsfjCYmo61eS7pt+h0Wihww9QpSNY2hdssM0/gz4rwaNpjg9RqVT0q9aPX1v9CsA7O97h94u/U9q8NPXL1S+oSAuHmxu8MRD0/8yabGoKgwZJ760QBUASXCGEEEKIIqi6Q3X2vLaH7pW7P7Ns1MMoZgbOxNPOkxktZ2CuNTfscKoKvX/P8bDhPNNowfvlTOvv5lQjl0Ys67CMCrYViEiMIDk9uQACLALGjjX02oL03gpRgCTBFUIIIYQoglQqFXZmdjkqa29hz29tf2NW61lPPkavMwxVTo4zbpB6PWz9Au6czlc1HnYe/N7hd2qXrY2ppoSuDevmBgMHGp5L760QBUYSXCGEEEKIIkpRFOadm8eko5OeuP9KzBVCH4QC4Ovgm/2asZc2wLoPYM93xg0weAcc/hku/J3vqmxMbXjJ7SXUqhL88XTsWPD2lt5bIQpQCf4fRAghhBCieFOpVJyIOMGKyyuIehiVad+dhDsM2z6MN7e++exhvVU6g0sdw1I+93J2T2+OHJ0FKg3Ufct4dZZkbm5w+bL03gpRgCTBFUIIIYQowrpV6ka6ks6mG5sytsWlxPHOjneIfBjJx3U+fnzPbXbUaujwP1D0sHm0Yf3V/Iq8Atd2QtXOYOea//qEEMIIJMEVQgghhCjCWri3wMbEhr+DDcOAk9OT+WDXB1yPu87ouqNpV7FdzipyqQ01+8GNfUYZUsyx2YZ/6w/Lf11CCGEkkuAKIYQQQhRhZhoz2ldsz+WYy5yPOs8n+z7h9L3TDKg2gDeqvZG7ylp9BWZ2sH9y/npxkx9A4B/gXAPcG+S9HiGEMDJtYQcghBBCCCGerqtXV1ZcWcG64HVYmFjQoWIHRtYZmfuKrB2h91Io65enJX0ymNvCgHWQnpy/eoQQwsgkwRVCCCGEKOKqO1RnavOpNHZpjJnGDJ2iy/tswxWbPX6uKHlPUF3r5O04IYQoQEYZorxlyxbq1KlDjRo1aNCgAWfOnAFg0KBBeHt74+/vT+PGjTl+/Hi2dahUKqpXr05AQAABAQHs37/fGKEJIYQQQhR7KpWK1hVaY6G1QK1SY6I2yV+FigK7J8KqN3N/bOgRuLjBsLauEEIUMfnuwY2JiaFv377s27cPX19f9u/fT9++fQkKCuKVV15h7ty5aLVaNmzYwKuvvkpISEi2de3fv59SpUrlNyQhhBBCCPE0KhXcvwrn/4KAPlC5Tc6P3f0t3DwEI4LANpt1d4UQopDkuwf32rVr2Nvb4+vrC0DTpk0JDQ3l1KlTdOnSBa3WkEM3aNCA27dvk56ent9TCiGEEEKI/Hr5GzCxhM2fQHpKzo6JuGCYhblaN0luhRBFkkpR8rcQWlxcHJ6enqxfv55GjRqxbt06unbtyurVq+nevXtGuS+//JKzZ8/y999PnpZepVJRq1Yt0tPTadWqFRMmTMDKyipLuSlTpjBlypSM17GxsaxevTo/l1CgkpOTMTd/xtp0okiTNizepP2KP2nD4k3ar2ireHsN3qF/cMW9DzdcumXZ/9/2q3ZtDm73dnDE7xvibLyfY6Qir+R3sHiT9stq8ODB3Lp1K9v9+U5wAXbv3s24ceNISEigYcOG7N69m0mTJtGlSxcAli5dyoQJE9i3bx9ly5Z9Yh2hoaG4u7uTmJjIsGHDsLGxYebMmc88t6ur61MvsLBt3bqVtm3bFnYYIh+kDYs3ab/iT9qweJP2K+LSU2BmA4iPgA9OgG35TLsztV9SNEypBmWrwZBdhRCsyAv5HSzepP2yelb+Z5RZlFu0aEGLFi0ASElJwdnZmWrVqgGwfPlyvv76a3bu3Jltcgvg7u4OgJWVFe+++y5vv/22MUITQgghhBDZ0ZpBu+8Mw5Tjw7MkuJmcWgzpD6H+sOcXnxBC5JJREty7d+9SrpzhPowJEybQsmVLvLy8WLFiBWPGjGHHjh0ZCeyTxMTEYGZmhqWlJXq9nuXLl1OzZk1jhCaEEEIIIZ7Guy14tgCt6dPL+b4CqYmG+2+FEKKIMsoyQWPHjqVKlSp4eXlx8+ZN5s+fD0Dfvn1JTk6ma9euGcv/REVFATBr1izGjh0LwKVLl2jQoAH+/v5Ur16dqKgopk2bZozQhBBCCCHEszxKbu+eBV02E4KWrgAtv3h2IiyEEIXIKD24c+fOfeL2tLS0bI8ZNuzx8JaGDRty9uxZY4QihBBCCCHy4uJ6WP4GtP8f1P/PrWLn14JXazCzLpTQhBAip4zSgyuEEEIIIYq5Si0N9+Du/gYS7z/efvcsrBwAWz4tvNiEECKHJMEVQgghhBBgagUvT4DkONg5/vH2o7MN/9Z5s3DiEkKIXJAEVwghhBBCGHT/FELS4eRCcDXBJPQynFgCYTpwrwvesvatEKJokwRXCCGEEEIYvNQctqeDArQ1xS3hEGhVcDQFNBpo3ryQAxRCiKeTBFcIIYQQQhiMHQv39LAlGbalGBLcB3q4mA6KAl9+WdgRCiHEU0mCK4QQQgghDNzcYOBAOKOCuzpCbJrDnhTD0kCDBhn2CyFEESYJrhBCCCGEeGzsWNDrQQc3bV6C02mG19J7K4QoBiTBFUIIIYQQjz3qxTU1Nbw2ld5bIUTxIQmuEEIIIYTI7FEvLkjvrRCiWJEEVwghhBBCZPaoFxek91YIUaxIgiuEEEIIIbIaOxa0Wum9FUIUK5LgCiGEEEKIrNzcwNlZem+FEMWKJLhCCCGEEEIIIUoESXCFEEIIIYQQQpQIkuAKIYQQQgghhCgRJMEVQgghhBBCCFEiSIIrhBBCCCGEEKJEkARXCCGEEEIIIUSJoFIURSnsIPLDzMwMR0fHwg4jWwkJCVhbWxd2GCIfpA2LN2m/4k/asHiT9ivepP2KP2nD4k3aL6vIyEhSUlKy3V/sE9yiztXVlVu3bhV2GCIfpA2LN2m/4k/asHiT9ivepP2KP2nD4k3aL/dkiLIQQgghhBBCiBJBElwhhBBCCCGEECWCJLgFbOTIkYUdgsgnacPiTdqv+JM2LN6k/Yo3ab/iT9qweJP2yz25B1cIIYQQQgghRIkgPbhCCCGEEEIIIUoESXCFEEIIIYQQQpQIkuAKIYQQQgghhCgRXogENzk5mW7duuHt7Y2/vz9t2rQhODgYgHv37tGuXTsqV66Mn58f+/btyzhu0KBBGcc0btyY48ePZ+z74osvqF69OgEBAQQEBPDnn39me/6kpCRef/11vLy88Pb2ZtWqVRn7fvvtN6pXr45Wq2XatGlPvQ5j1VPcvAjtN3DgQFxcXDLiGTVqVG7fpiLtRWjDq1ev0qZNG/z9/fH19WX58uW5fZuKrJLSfk8rm5t4iqMXoQ1feeWVjFgCAgJQq9WsW7cuF+9S0VVS2u/zzz+nSpUq+Pv7U6dOHbZu3Zqxb+PGjdSuXRszMzNGjBiRy3eoaHsR2m/cuHE4OjpmxNO3b9/cvk1F2ovQhhEREXTv3p0aNWpQtWrV4p1PKC+Ahw8fKhs3blT0er2iKIoyY8YM5aWXXlIURVEGDRqkfPXVV4qiKMqxY8cUFxcXJTU1VVEURfn777+VtLQ0RVEUZf369UqFChUy6oyJicl4fuvWLcXGxkaJjIx84vm//vprZcCAAYqiKMr169cVR0dH5f79+4qiKEpgYKBy4cIF5Y033lCmTp361OswVj3FzYvQfgMGDChx7fZvL0IbNmrUSJk7d66iKIpy7949xd3dXbl169Yz35vioKS039PK5iae4uhFaMN/O378uGJvb6+kpKQ8tb7ioqS036ZNm5SkpKSM42xtbZWEhARFURTl8uXLSmBgoPLFF18oH374YU7elmLjRWi/r776qsS127+9CG3Yp08f5YsvvlAURVESEhIUf39/5dixY89+c4qgFyLB/a/jx49n/IBZWVkpd+/ezdhXt25dZfv27VmOiYyMVLRabcYP6b9dunRJsba2ViIiIp54vmrVqimHDx/OeP3qq69mfBB+JCcJjrHqKe5KYvu9CO32byWxDa2srJTbt29n7OvcubMyefLkp9ZXXBXX9stp2WfFUxKU9DYcNmxYif6wXdzbT1EURafTKTY2NsqNGzcybS/piZKilMz2exHa7d9KYhv6+voqBw8ezNj/wQcfKB988EGO6ytKXoghyv/1008/0bVrV6KiokhLS8PZ2Tljn4eHB6GhoU88pkOHDmi12oxt06dPx8fHh1q1ajFnzhycnJyeeL7Q0FAqVKjwzHM8i7HqKe5Kavv99NNP1KhRg06dOhEYGJjr+ouTktiGtWvXZunSpQBcv36dQ4cOERISkutzFAfFtf2eJafxlAQltQ0BHj58yB9//MHgwYMLpP6ioCS034IFC/D09MxU74uipLbfypUr8ff3p2XLluzevTtf9Rd1JbENa9euzbJly9Dr9URGRrJ169Zi+znmhUtwJ06cSHBwMJMmTcrxMUuXLmXFihXMmTMn0/bhw4dz+fJlDh06xMSJE4mKijJ2uOI/Smr7ffvtt1y7do2zZ88yePBg2rdvT0JCQqHFU5BKahsuWrSIo0ePEhAQwEcffUSrVq0y/RErKUpq+xXFeApKSW5DgFWrVuHt7U316tULO5QCURLab+fOnXz99dcsX74clUr1XM5ZVJTU9hs2bBghISGcOXOGCRMm0KtXL27evPlc4nneSmobTp48mYSEBGrWrEmfPn1o3rx5sf0c80IluD/++CN//fUXmzdvxtLSEnt7e7RaLeHh4RllQkJCcHd3z3i9fPlyvv76a7Zv307ZsmWfWK+/vz8uLi7s2bOHCxcuZNws/t577wHg7u6e6Zf8v+d4EmPVU5KU5PZzcXFBrTb8Or7yyivY2tpy+fLl3Lw9xUJJbkMPDw9Wr15NYGAgf//9N3Fxcfj6+ubyHSrainv75dS/4ylpXoQ2nD9/fontvS0J7bd3714GDRrE+vXr8fHxydP7UFyV5PZzdnbGxMQEgMaNG1OzZk1OnDiRi3eneCjJbejg4MDChQs5c+YM27dvR6VSFd/PMYU9Rvp5mTx5slKrVi0lOjo60/YBAwZkujG8fPnyGTeGL1++XPHy8lJCQkKy1Hf+/PmM58HBwYqTk5Ny4cKFJ577q6++ynJj+H9vIs/JuHlj1VMclfT2CwsLyyh3+PBhxd7eXomNjX1qfcVNSW/D8PBwRafTKYqiKFu2bFHc3NwyJnIoCUpC+z2tbG7iKa5KehsqiqJcvXpVsbKyUuLi4nJUT3FSEtpv7969ipubm3Lq1Klsy5TUezlLevv9+3PMlStXFCcnJ+Xy5ctPra+4KelteP/+/Yy4T506pZQtW1a5c+fOU+srql6IBDcsLEwBFE9PT8Xf31/x9/dX6tWrpyiK4UNpmzZtFC8vL6VatWrKrl27Mo7TarWKq6trxjH+/v4ZM5Z17NhRqVatmuLv76/Url1bWbFiRbbnT0hIUF577TXF09NTqVy5srJ8+fKMfQsWLFBcXFwUS0tLxc7OTnFxccn2P35j1VPcvAjt16pVK8XPz0/x9/dXGjRokOk6SoIXoQ3nzp2rVKpUSfH29laaN2+unDt3Ll/vWVFSUtrvaWVzE09x9CK0oaIoymeffab0798/X+9VUVRS2s/Ly0txcnLKFM/Zs2cVRVGUHTt2KC4uLoqNjY1ibW2tuLi4KH///Xe+37ui4EVov/79+yu+vr6Kv7+/UqtWLWXlypX5ft+KkhehDTdt2qR4eXkpVapUUerWravs3bs33+9bYVEpiqIUXv+xEEIIIYQQQghhHC/UPbhCCCGEEEIIIUouSXCFEEIIIYQQQpQIkuAKIYQQQgghhCgRJMEVQgghhBBCCFEiSIIrhBBCCCGEEKJEkARXCCGEEEIIIUSJIAmuEEIIIYQQQogSQRJcIYQQQgghhBAlgiS4QgghhBBCCCFKBElwhRBCCCGEEEKUCJLgCiGEEEIIIYQoESTBFUIIIYQQQghRIkiCK4QQQgghhBCiRJAEVwghhMglX19fFi1alKOyzZs3Z8yYMQUckRBCCCFAElwhhBAiE2tr64yHqakpGo0m07b9+/dz/vx5BgwYUNihPpVKpUKlUnHp0qVM23fv3o1KpcLV1TVj28OHDxk1ahQVK1bE2toaBwcHmjRpwu7duzPVZ2Fhkem9+OKLL/D19c14bW5ujlqtzlTm999/f27XLIQQQmgLOwAhhBCiKElISMh4PmbMGA4cOMCePXsKL6B/URQFnU6HVpuzP9/VqlVj9uzZTJ06NWPbr7/+iq+vL7GxsRnbRo4cyenTp9mxYweVKlUiPj6eAwcOYGFhkam+9evX07p160zbvv3224zn8+bN45tvviEkJCT3FyeEEEIYgfTgCiGEELnk4eHBvHnzMl5fvHiRLl264OzsjJ2dHQ0aNCAsLOyJx06YMAFPT0+CgoIA2LRpE/Xr16d06dJUrlyZ6dOnZ5QNCQlBpVIxf/58/P39sbS05MSJEzmOc+jQoSxevJjk5GQAwsPD2bx5MwMHDsxU7sCBA7z22mtUqlQJABsbG9q3b0+DBg1yfC4hhBCiKJAEVwghhMiHiIgImjZtip+fH1euXCE6OpoZM2Zk6f1MTk6mb9++bNq0iSNHjuDn58fu3bvp06cPEydOJCoqijVr1vDDDz9kGdb722+/sWHDBhISEqhZsybLli2jVKlSz4ytWrVq+Pn5sXz5csDQw9q1a1ccHBwylWvevDk//PADkydP5tChQyQlJeXvTRFCCCEKiSS4QgghRD4sWbIEZ2dnJk6ciK2tLRqNhrp162ZKIiMiImjRogU6nY7du3fj5OQEwNSpU3nnnXdo1aoVarUaPz8/hg0bxoIFCzKdY+zYsbi5uaHRaDAzM6NPnz6Zhhg/zbBhw5g1axY6nY45c+YwbNiwLGWmTJnCV199xZYtW+jQoQNlypShR48e3Lp1K1O5bt26UapUqYzHjRs3cvluCSGEEAVLElwhhBAiH27cuIGPj89Ty2zYsIGgoCC+/fZbzM3NM7ZfvXqVn376KVPS+N1333H37t1Mx1esWDHP8fXo0YNr164xceJE7OzsaNKkSZYyJiYmDBs2jO3btxMTE8P+/fsJDg6mX79+mcqtXbuW2NjYjEd+4hJCCCEKgiS4QgghRD54eHhw9erVp5YZPHgwo0ePpmnTppw7dy5ju7OzM59++mmmpDE+Pp7z589nOl6tzvufa1NTU958802++uqrJ/be/pdKpaJu3bq89dZbnDp1Ks/nFUIIIQqDJLhCCCFEPvTv359bt27x5ZdfEh8fj06n48SJE9y/fz9TuS+//JKxY8fSokULDh48CMCHH37IjBkz2LlzJ+np6aSnpxMUFMS+ffuMGuPo0aPZtm1blsmlHvnqq6/YvXs38fHxAFy+fJlFixbRrFkzo8YhhBBCFDRJcIUQQoh8KFu2LPv27ePkyZNUrFgRe3t7Pvjgg4yZi/9t2LBh/Prrr3Tq1IlNmzbRrVs3lixZwtixY3FycsLJyYm33norS3L8X7///jvW1tY5jrFMmTK0bt0aKyurJ+43Nzdn1KhRuLu7Y2NjQ9u2balfvz6LFy/O8TmEEEKIokClKIpS2EEIIYQQQgghhBD5JT24QgghhBBCCCFKBElwhRBCCCGEEEKUCJLgCiGEEEIIIYQoESTBFUIIIYQQQghRIkiCK4QQQgghhBCiRNAWdgD5ZWZmhqOjY2GHka2UlBTMzMwKOwyRD9KGxZu0X/EnbVi8SfsVb9J+xZ+0YfEm7ZdVZGQkKSkp2e4v9gmuo6Mjt27dKuwwsrV161batm1b2GGIfJA2LN6k/Yo/acPiTdqveJP2K/6kDYs3ab+sXF1dn7pfhigLIYQQQgghhCgRJMEVQgghhBBCCFEiFPshyk+j1+tRFKWww0Cn0xV2CIVOpVKhVsv3KUIIIYQQQoiCUyIT3NTUVEJDQ0lLSyvsUHB0dOTKlSuFHUaRYGJigru7O6ampoUdihBCCCGEEKIEKpEJbmhoKDY2Ntjb26NSqQo1lgcPHmBra1uoMRQFiqIQFRVFaGgoXl5ehR2OEEIIIYQQogQqcQmuXq8nLS0Ne3t7tNrCvzy1Wo1GoynsMIoEe3t7oqOj0ev1MlxZCCGEEEIIYXQlLst4dM9tYffciqwetUlRuC9aCCGEEEIIUfKUuARXCCGEEEIIIcSLSRJcIYQQQgghhBAlgiS4z1F8fDzW1tYMHjz4mWX37NnDli1b8n3OkJAQSpUqle96hBBCCCGEEM9HXEocw3cNZ8r9KcSlxBV2OMVK4c/CVMDSdXoiE1IK9ByO1mZoNc/+rmD58uXUrl2bv/76i59++glra+tsy+7Zs4fY2FjatWtnzFCFEEIIIYQQRdjl6MuM2D2CWwm3AEhMS8TOzK6Qoyo+SnyCG5mQQsNJuwr0HIc/a0k5O4tnlps/fz5ffvkls2fPZvny5QwePJi4uDj+7//+jyNHjqDRaKhduzbDhw9n1qxZ6HQ69uzZQ/fu3enfvz8BAQHExsYCkJCQgI2NTcaETX379uXy5cukpqbi5ubG/PnzcXZ2LsjLFkIIIYQQQhjRlhtbGHtoLGn6NMbUH4N1iDXlrcsXdljFSolPcIuKCxcuEBYWRtu2bUlPT+e7775j8ODBjBgxAgsLC86ePYtarSYyMhJHR0eGDRtGbGws06ZNAwxDjZ9m2rRpODo6AvDdd98xbtw4Zs2aVcBXJYQQQgghhDCG4JhgRu0bhYOFA1OaT6GmU0223twKwJaQLXjaeeJd2ruQoyz6SnyC62htxuHPWhb4OZ5l/vz59O/fH41GQ4cOHRg6dCgXL15kw4YNHD16NGNd2EdJam4tW7aMJUuWkJycTHJyMg4ODnmqRwghhBBCCPH8eZX2YlzDcTR1bYqTpVPG9lvxt/hs32e427rzR8c/sDSxLMQoi74Sn+BqNeocDR8uSGlpaSxZsgQTExOWLVsGQFJSEvPnz89xHVqtFp1Ol/E6OTk54/mBAweYPn06hw8fxsnJiXXr1jF27FjjXYAQQgghhBDC6C5FX+Ln0z/zv2b/w9LEkh7ePbKUcbVx5YNaHzD15FT+d/x/jGs07vkHWozILMrPwbp16/D09OT27duEhIQQEhLCkSNHWLJkCV26dOHHH39Er9cDEBkZCYCtrS1xcY9nTHN2dkZRFC5cuADA4sWLM/bFxMRgY2ODvb09qampzJ49+zlenRBCCCGEECK3Nl7fyBub3uDQnUOciTzz1LIDfQfSqHwjVl9dzeYbm59ThMWTJLjPwfz58+nbt2+mbVWrVsXFxYWXXnqJlJQUqlevTkBAAJ9//jkAr7zyCoGBgQQEBDB+/Hi0Wi0zZsygU6dO1K1bl7S0tIy62rVrh4+PDz4+PjRt2pSAgIDneXlCCCGEEEKIHErXp/PD8R/4dP+n2JrasrDdQhqWb/jUY9QqNd82+RZ7c3u+Pvw1YfFhzyna4qfED1EuCjZt2vTE7adOnQKgf//+WfZVrFiR06dPZ9o2aNAgBg0alPH6k08+AcDExITly5dnKvvtt98C4OHhkTHzshBCCCGEEKLwxKXEMXLPSI6FH6OWUy0mN5+Mg0XO5s5xsHBgYpOJfLTnI4JjgnGzcSvgaIsnSXCFEEIIIYQQ4jkw15qTmJZIb5/ejK47GhONSa6Ob+TSiK09tlLKvFTBBFgCSIIrhBBCCCGEEAUo6H4Qfg5+mGnMWNBuARbavE+C+yi5vZtwl/CkcGo61TRSlCWD3IMrhBBCCCGEEAUgTZ/GpKOTeH3j6xmTQ+Unuf13vYO2DmLE7hHcf3g/3/WVJJLgCiGEEEIIIYSR3X94nyHbhrDs0jLqlK1DPed6RqvbRG3CR7U/Ijo5ms/2f4Ze0Rut7uJOElwhhBBCCCGEMKJzkefotaEXJyNO0q9qP+a8PAd7C3ujnqOtR1t6evfkyN0j/Bb0m1HrLs4kwRVCCCGEEEIII0lMS2TYjmHEpcQxsclEPqn3CSbq3E0mlVOj647Gq5QXP5/+mcB7gQVyjuJGEtznKD4+HmtrawYPHpyj8iEhIcyaNSvH9c+ePZsqVaoQEBBAVFRUXsMUQgghhBBC5JGViRUTGk9gcfvFdK7UuUDPZaG14H/N/odWrWVryNYCPVdxIQnuc7R8+XJq167NX3/9RUJCwjPL5zbBnTZtGgsWLCAwMBB7+5wPgdDpdDkumxvp6ekFUq8QQgghhBBFSWRSJB/s/IDbCbcBaOnekmr21Z7LuSuXrsyKzisYXXf0czlfUffiJLi/1H/yI+qaYX/UtezLPBK8I/t9OTB//nw++eQTmjVrxvLlywFYuHAh3bp1yyizYcMGmjdvDsCwYcO4fPkyAQEBdOnSBYATJ07QqFEjatSoQb169Th48CAAPXv25Nq1awwcOJCePXsCsGTJEmrUqEGNGjXo2LEjt2/fzjhnixYt6NGjB9WrV+fYsWOoVCq+/fZb6tevj4eHB2vXrmXSpEnUqVOHypUrs2fPnowYt27dSpMmTahduzb16tVj9+7dAOzZswdfX18GDx5MQEAAa9asydX7I4QQQgghRHETeC+QXht6sefWHvaE7SmUGDztPFGpVOj0Os7fP18oMRQVsg7uc3LhwgXCwsJo27Yt6enpfPfdd88cqjxr1ixGjBhBYGAgAKmpqXTv3p25c+fStm1bDhw4QI8ePQgODmbVqlV4eHiwfPlyAgICCAoKYtSoUZw8eRIXFxe+/fZb3nrrLTZvNkxPfvToUU6fPo2Pj0/G+aytrTl69Cg7d+6ka9eu/Pzzz5w4cYKVK1cyatQojh8/zvXr1xk3bhxbt27F1taW4OBgmjZtSkhICAAXL15k5syZzJ8/v0DeRyGEEEIIIYqKlVdWMvHoRLQqLd83/Z4Onh0KNZ6xh8ayNWQrf3T8g8qlKxdqLIXlxUlw3zv69P32lZ5dxqu14ZEH8+fPp3///mg0Gjp06MDQoUO5ePFiruq4fPkyarWatm3bAtCkSRPKli1LYGAgTZo0yVR29+7dtGvXDhcXFwDeffddxo8fnzEcuVGjRpmSW4BevXoBUKdOHRITE+nduzcA9erV4+rVqwBs2bKF4OBgmjVrlnGcWq0mNDQUAE9PT1566aVcXZcQQgghhBDFSbo+nW+OfMPqq6txsXbhpxY/4VPG59kHFrDXfF5j4/WNjNo7ij86/WGUNXeLmxwNUR4+fDgeHh6oVKqM3kSAq1ev0qhRI7y9valbty7nzxu6w6OioggICMh4eHt7o9VqiY6OzlJ3SEgIGo0mU/lr164Z5+qKiLS0NJYsWcKiRYvw8PDAy8uLpKQk5s+fj1arzXQPbHJycq7qVqlUeSpnbW2dpYy5uTkAGo0my+tH99MqikKbNm0IDAzMeNy+fZvKlStnW68QQgghhBAliUalISk9iYblGvJnxz+LRHIL4O/oz/s13+da3DW+P/Z9YYdTKHKU4Pbs2ZMDBw5QoUKFTNuHDh3K22+/zZUrV/jkk08YOHAgAPb29pkSoLfffpv27dtTpkyZJ9ZvY2OTqXylSpXyd1VFzLp16/D09OT27duEhIQQEhLCkSNHWLJkCRUqVODs2bM8fPiQ9PR0li1blnGcra0tcXFxGa99fHzQ6/Vs374dgEOHDhEeHk5AQECWc7Zo0YItW7Zw584dwDDcuVWrVhnJa161bduWHTt2cPbs2Yxtx44dy1edQgghhBBCFAeXoi+Rrk9HpVIxofEEfm39K6XMSxV2WJm86fcmDco1YPXV1Wy5saWww3nucpTgNmvWDFdX10zb7t27x4kTJ+jXrx8APXr0ICwsjODg4CzHz58/P8dL45RE8+fPp2/fvpm2Va1aFRcXFyIjI+nQoQN+fn40b948oycUoEaNGvj6+uLn50eXLl0wNTXlr7/+4quvvqJGjRqMGDGCVatWPbHX1M/Pjx9++IF27dpRo0YN9u/fz9y5c/N9LV5eXixbtoyhQ4fi7+9P1apVmTZtWr7rFUIIIYQQoihbc3UNr294nZmBMwEw05ihUeev86ggqFVqJjWdRBnzMsw+OxudvmBWTCmqVIqiKDkt/Gh23YCAAE6ePEmfPn24fPlyxv569erx3Xff0bJly4xthw4donv37ty6dQutNustvyEhIVSuXJmAgAB0Oh3dunXjiy++yLanccqUKUyZMiXjdWxsLKtXr85UxtHRkYoVK6JWF/4k0Yqi5HgYcUmn1+u5ceMGkZGRhR1KriQnJ2cM1xbFj7Rf8SdtWLxJ+xVv0n7Fn7ShcdxKu8X0qOnYaex4s9SblDMp91zOm5/2C00LxV5jj5XayshRFa7Bgwdz69atbPcX+CRTjyZXelJyC1CuXDlu376Nk5MT0dHR9OrVi8mTJzN69JPXcRo5ciQjR47MeO3q6pox6RIY1nS9cuUKtra2+R6OawxxcXHY2dkVdhhFgk6nw8LCgtatWxeJtsmprVu3ZvoZE8WLtF/xJ21YvEn7FW/SfsWftGH+PUx/yGvrX0OtVjOnwxyqlKny3M5trPYLTwzH2crZCBEVfXnu4nRzc+Pu3buZJh8KDQ3F3d09o0xCQgIrVqzgzTffzLYeMzMznJycAChTpgxvvvkm+/fvz2tYQgghhBBCCGE0k09MJuRBCMNrDn+uya2xrL+2nvZ/tefQ7UNPLRcWF4bPzz6ExYU9p8gKRp4TXCcnJ2rVqsXSpUsBWL16Na6urnh5eWWUWb58Of7+/lSpkv0Pwr1790hLSwMgJSWFv/76i5o1a+Y1LCGEEEIIIYQwitjkWLbf3E5d57r0r9a/sMPJk5pONTHXmPPZgc+4//B+tuXG7x3PlagrTNg34TlGZ3w5SnCHDh2Kq6srt27dom3bthlJ7OzZs5k9ezbe3t589913LFiwINNx2U0uNXbsWGbNmgXAgQMHqFmzJv7+/tSqVQtnZ2e++OKL/F6XEEIIIYQQQuRLKfNSrO6ymklNJhXJCaVywtXGla8afUV0cjSf7f8MvaLPUiYsLoyFZxYCsCBwQbHuxc3RPbizZ89+4nYfHx8OHz6c7XGHDj25G3z8+PEZz7t370737t1zEoYQQgghhBBCFDhFUbgVfws3WzccLBwKO5x8a+fRjiN3jrD66mp+C/qNt6q/lWn/+L3jqYmGk0o6apWaCfsmMKfznEKKNn8Kf5phIYQQQgghhChCVl5ZSde/u7Lv1r7CDsVoPqn3CZXsKjEzcCYRiREZ28PiwjgTuIi9OlPmYE6qLrVY9+JKgiuEEEIIIYQQ/7gRd4Mfjv+Ag4UDAU4BhR2O0VhoLfjhpR+Y1XoWZa3KZmyfuuNzVunNUQOzSQXI6MUtjiTBfU48PDyoUqVKxqzTAHXq1GHPnj2MGzeOESNGZCq/cOFCunXrBhjWCi5VqhQAAQEBBAQEUK1aNTQaTcbrXr16AYbh335+fhmTe40aNep5XJ4QQgghhBDFXpo+jc/2f0aKLoWJTSZia2pb2CEZVeXSlalXrh4ASWlJhMaGcuL8CmyAYSRzXGW4P7c49+IW+Dq44rGUlBTmz5/P0KFD81xHYGAgYEh6AwICMl4DrFq1is2bN3P8+HEsLCxIT0/n/Pnz+YxaCCGEEEKIF8Ovgb9yPuo8g/0GU8e5TmGHU2Cux17nvZ3vYaI34YhKwZsE7quUTGVUqIrlvbgvTILbbW23J26f3nI67rbuhD4IZfiu4U8ss7bbWgAO3j7ID8d/eOK+nBg3bhxffPEFb7zxBpaWljk+Lqdu3bpFmTJlMDc3B0Cr1eLv72/08wghhBBCCFHShMWH8VvQb1QtU5X3At4r7HAKlIOlA/rUBEJSYtBqtUQrOjSKGRa6RiRp9oAKdIqOPSF7CjnS3HthEtyiwN/fnxYtWjB16tQsSyH9/vvv7NmzJ+N1dHQ0tWrVylX9vXv3Zs6cOXh6etK0aVOaN2/O66+/joWFhTHCF0IIIYQQosRys3FjesvpuNq4YqIxKexwCpTtvSt8H3qNgWXtaV2lDa3tJrH40G3uP0xlw5t/8pK3Y2GHmGcvTIL7rJ5Wd1v3Z5Zp7NKYxi6N8xXHhAkTqFevHsOGDcu0vW/fvkybNi3j9cKFC1m79unx/JezszPnzp3j6NGjHDx4kJkzZzJjxgyOHj2KqalpvuIWQgghhBCipErTpWGiMaGZa7PCDqXgxUfA8n74p+lpbN6WfQ+28svNyaQkdMfcRE1odFJhR5gvMsnUc+bh4UGfPn345ptvCqR+jUZDo0aNGDVqFAcPHuTGjRsEBQUVyLmEEEIIIYQo7raEbKHn+p5cj7te2KEUvPRUUv/oC/F3GZ36FhsDXyI9wQvT0sfo1iieg5+05I0GFQo7ynx5YXpwi5IxY8ZQtWpVTEyMO/ThxIkTlC5dmkqVKgFw6dIl0tLScHNzM+p5hBBCCCGEKAnCE8MZf3g8JmqTEjdj8n/djn3InSVDqRt1nDnpHVmZ3pDSlib0rvwZZmWO816tHpioi//QbElwC4GDgwPDhw9n7NixRq03KiqK999/n9jYWCwsLNBoNCxbtgxHx+I7hl4IIYQQQoiCoFf0jDkwhvjUeGa0nIGDhUNhh1QgbtxP5Nc9waw5FcaX6v9n777DmrreAI5/kxD2kiWyRFRQcSC4B+69t3VUtI7Wqm2t1baOOjpsf1Zrl6Nad6tWrbWtde8tKm5FVKbsvcm4vz9SqVRQhABqz+d5eCDJvee+IQnc955z3pNFjqwua4xHMatNTV5p4oaZkQHQpKLD1BuR4JaT0NDQArdnz57N7NmzAWjbtu1j2wcEBBAQEADohjWnpKQUeLyw+7p06UKXLl30FLEgCIIgCIIgvLw23NjA2ZizDPIcRFvXthUdjt7diknju8N3+fPKA7QSgIwVlhOZ6O/K4cYeGCsVFR1imRAJriAIgiAIgiAI/yl3ku+w9OJS3C3dmdZoWkWHo1eXI1L49nAI+2/EAlCZJKZaHEDZ6SN6+bmjVLzcZZhEgisIgiAIgiAIwn+Km6UbQ2sNpXu17pgqTSs6HL04ey+Rbw+HcPxOQv599SobsV6+kkrJV8BmJCg8KjDC8iESXEEQBEEQBEEQ/lOMFEZMbzy9osMoNUmSOBocz3eHQzgfmpx/v4+rNZPbVad98AJkQVeg1VSo0bECpiFMUwAAw99JREFUIy0/IsEVBEEQBEEQBOE/4VTUKQ6GH2Ra42mYGJhUdDglptVK7LsRw3eH73I1KjX//uYetkxqX4MW1W2RnV8FQRuhRidoP6sCoy1fIsEVBEEQBEEQBOGll5yTzKyTs8hSZzGm3hiczZ0rOqRnptZo+eNKNN8dDuFOXEb+/e287JnUvgZ+VW10d4SegD3vg40HDPgB5C9nQanCiARXEARBEARBEISXmiRJzD89n/jseD5t9ekLl9zmqjXsuBjF8qN3CUvMAkAmg251HZnYtgZ1na0K7mDmAI71oO8yMKlUARFXnJe7hFYJRKRG4PWtFxGpEXpt193dHS8vL3x8fKhduzbDhg0jMzMTgLVr19K3b98C2x85cgQfHx+ysrLw9PRk3759+Y+lpKRQtWpVzpw5U6xjBwYGMmTIEL09l8LIZLLHli0SBEEQBEEQhOfBzpCdHAg/QBf3LvT06FnR4RRbnkZizcn7tP3fET7YcZWwxCwUchn9Gzqz/x1/vh/u93hyC2DvCeMOg0Pt8g+6gokE91/mH51PcGIwC44t0HvbW7ZsISgoiOvXr5OamsratWufuo+pqSnr1q1jwoQJpKbqxtdPnjyZESNG0KxZs2Idt1GjRmzZsqU0oQuCIAiCIAjCCykiLYKF5xZS2bQys5vNRiaTlaydMuoIe5Rao+V2TDo7LkYy//cbfHhaw7zfbxCdmoOhQs6wpm4cfrcti4f4UMPBouDOkgR/TIXbf+lul/B5vuhEgvuIiNQI1l5eC8CaoDVl9ubNy8sjKyuLSpWKN1ygefPmDB06lHfeeYddu3Zx9epVPvroo8e2y87OZsiQIdSpU4cGDRrQuXNn4J/e4IdWrFiBp6cnvr6+LFiwoMCHXCaT8emnn9KkSROqVavGmjVr8h+bNm0ajRs3xsfHB39/f27fvl3C34AgCIIgCIIglA+VpMLVwpVPWn2ClVEhvZ3FpO+OsMxcNRfCkthwOpT3t1+h97cnqPPRXrp8dYypWy/z48n7pKvAWClnTMtqHJvejk/71cPNtohljc58D4Gr4eIGXbL7HyXm4D5i/tH5yGW6nF8uk7Pg2AJW9lqpt/aHDBmCiYkJoaGh+Pn5MXjw4GLvO2/ePBo3bswff/zBgQMHMDQ0fGybPXv2kJKSwo0bNwBISkp6bJtr164xd+5cLl26hKOjY6GJspGREefOnePWrVs0btyYkSNHYmBgwIwZM1i0aBEAmzdv5q233mLPnj3Ffg6CIAiCIAjCyyshOwEjhREWhhZP37gceVh5sKXnFhSlKLT0746w2f6zcbVyLfb+CRm5XH+Qxo0HaVx/kMqNB2ncT8wsMg+1tzDC28kSy7xE5gxvj5250ZMPcPcw7JsFdp7Qb/l/tvcWRIKb7+GbVq1VA5CnySvRm/dJtmzZgo+PD2q1mgkTJjBjxgy+/PLLIodJPHq/oaEhU6ZMYefOndSvX7/Q7Rs0aMDNmzeZOHEibdq0oXv37o9tc+jQIbp27YqjoyMA48aNY/78+QW2GT58OAC1atXCwMCAmJgYXFxc2L9/P9988w3p6elotdpCE2hBEARBEAThvyc5J5nev/ZGLamZ3ng6Az0HVnRIXI2/SkJ2Au3c2pUquYXid4RptRLhSVnciP4nkb3+II249Nwi265mZ0YdJ0u8nSypU8WSOk6WOFgYA7B3796nJ7fJobBtNBiaw9CfwNiyxM/zZSAS3L89+qZ9qCx6cQEMDAwYMGAA7733Hl9++SX29vYkJiYW2CYhIQEHB4cC9ykUChSKoj+cHh4e3Lhxg0OHDnHgwAGmT59OUFDQE2MpLLk2NjYucEy1Wk14eDiTJk3i/PnzVK9enStXruDv71+MZysIgiAIgiC87Dbc2EC6Kh0nMydcLXSdQ5IkcTXhKvXs6pV43mtJZamymHF8BrGZsfw14C8cTB2evlMRIlIj2BW0ljxJ1xHWVK0h5dJ67jZ7n+w8W248SMtPaG9Gp5ORqy60HUOFHC9HC+pUscTbWZfM1qpiiblRKVIydS5sHg7ZKTBsC9jVLHlbLwmR4PJ47+1DZdGL+9ChQ4fw8vICoGnTpty+fZugoCB8fHzIzc1l9erV+XNoiysyMpJKlSrRu3dvunbtys6dO4mIKDiPuF27dixcuJC4uDgcHBxYvXp1sdpOTU1FqVRSpUoVJEni22+/fabYBEEQBEEQhJdTWl4aP9/6GXdLd3b22ZnfaXT6wWkmHJhAXdu6vOr9Kh2rdkQpV5ZLTJ+f/5yI9AhmNJ5RquQWYN3ut7mpNWG2ZMgGbUsWyG7ThmjCv+3MBnU3ftG0IROTAvtYGhtQx8mSOlWs8HbSJbTV7c1RKvRcAklhCI3GQE4qeHbRb9svKJHgouu9lVHEMGFkeuvFfTgHV61WU7VqVZYvXw6Ara0tW7duZeLEiWRlZaHVaunatStTpkx5pvavXr3KBx98gCRJqNVqRo4cSf369Tly5Ej+NvXq1WPWrFm0bNkSCwsLunbtipXV0yfb16tXj6FDh+Lt7Y2tre1jyxoJgiAIgiAI/02bb20mQ5XBjCYzCgwFdrV0ZbDnYHbd3cX0Y9NxNHNkWK1hDPAcgKVh2Q2jPRh2kB13dtC8SnOG1R5WqrZigvfw5u39GEsyklVTsNH68S6pjDDYz0jFfuYq1/OuchsnrXpy3/M1qlV1x9vJEpdKJmXfay1Jurm2jV8r2+O8YESCCxwNO4pG0jw2RBlAI2k4Enqk1McIDQ194uNt27bl1KlTT9wmICCAgICAIh/v1q0b3bp1K7TtR4cqjxw5kokTJwKwdOlSmjdvnv+Y9K+Z7gkJCfk/L126lKVLl+bfnjVrVpH7CYIgCIIgCP8NZkoz6tjWoYdHjwL3u1q4Mrv5bCY3nMwvwb/w062fWHxhMQ8yHjCz2cwyiSU+K565p+diZWTFx60+LvT8vtgeXMJiywjkyBiteoMzWj80JBOmuMxHpPKxzIEvnL0Zk5tM18Rt0HI2WDuCVlv2RZ7uHIATS2DQGjAvXQ/1y6ZYCe6UKVPYtWsXYWFhXLp0KX/JmTt37jBq1CgSEhKwsrJi7dq1eHt7A+Du7o6RkREmJrru+g8++IAhQ4YU2v7q1atZuHAhWq2W9u3b8/3336NUls/wBYDgycHldqznwfvvv8/JkydRqVQ4OTmxYsWKig5JEARBEARBeEENrz2cYbWGFdljaW1szbj64xjlPYo9oXtoYN8AgFxNLvNPz2dAzQE0dGiolx7P64nXyVZns7D1wtINTX5wCdb3QaFRMVI1lPPa1mjJJM74Q9TyqPzNFuZUZ8ybtyD2Kli76e48vwqu74Dmk8CrG5SywNVjEu/C9jG6n/MyAJHgPqpYCe7AgQOZPn06rVq1KnD/hAkTGD9+PAEBAWzbto2AgADOnz+f//jDqsFPcv/+fWbPns3FixepXLkyffr0YeXKlbz55pvP/myEYvnuu+8qOgRBEARBEAThBZenySNDlYGNsU2xklNDhSG9q/fOv30+5jy77u5i191depun29a1Lbv77y71vFuSw0CrYWuNpZy/Zo9MBmtebUOH2uGFb1+lwT8/Z8ZBZCBsGQ6VqkGzieAzDIzMSxcTQG66rqhUbjoM/wVsPErf5kumWH32/v7+uLi4FLgvLi6OwMBARowYAcCAAQOIiIggJCTkmQLYtm0bvXv3xtHREZlMxuuvv87PP//8TG0IgiAIgiAIglC+dobspMu2LpyLPlei/Vs5t+K3vr8xyHMQd1LuMP3YdLrv6M724O3P3FZYWhhxWXEApUtuH0678+7LzrZ/MeeaPQBTO3rSoXbl4rXRfha8cw3839MVf/rrPVhSB8JOlzwu0A19/vV1iL8JHedCjY6la+8lVeI5uBEREVSpUgUDA10TMpkMNzc3wsPDqVGjBgCvvvoqkiTRpEkTFi5ciL29/WPthIeHU7Vq1fzb7u7uhIcXcWUEWLx4MYsXL86/nZKSwt69ewtsY29vT1paGnK5nquUlYAkSaSmplZ0GM8FrVZLdnY2Bw4cqOhQnklOTs5j7zHhxSFevxefeA1fbOL1e7GJ1+/FV1avoUbS8G3Ct8i1cmKCYth7peTHaEpT6trW5XTWaU5mneTs1bOY39f1dmZpszCVmz5xf7Wk5uvEr0nXpjPDbgbGcuMnbl8Ui4x71Apdx2WvqdzOsmTRJQ0ADe1l1FDdZe/ee8/YYmPk9erjlHAM57jDBF6LQXNrL4Z5KRjlJZFu/vTe10dfP7fo3dQO/YNo2xZcSfcC8dksVJkVmTp27Bhubm6oVCpmzZrFqFGj2L17d6nbnTp1KlOnTs2/7eLiQpcu/5TE1mg0BAcHY2lp+cQ1Y8tLampqsaoU/xdoNBpMTEzo2LHjc/HaFNfevXsLvMeEF4t4/V584jV8sYnX78UmXr8XX1m9hr+F/EZybDKTfCbRu0Hvp+9QDP3pT54mD7VWjanSlKScJLpu70pLp5a86v0qPvY+hQ6FXhy4mAexD3ijwRv08elTsoM/CIL140Gdg4+HHe/v1KKWNHhWNmfDxJalW6sW3e8nv791/xy4sBSqtoLmb4JnVyiiY67A65fdBI4YU6XDHKoYmpUinpdbiV8pV1dXoqOjUavVGBgYIEkS4eHhuLnpJlc//K5UKnn77bfx9PQstB03Nzfu3r2bfzs0NDR/X0EQBEEQBEEQni8arYZVV1dhrjTnldqv6LVtQ4UhhgpDADLyMmjs2JgD4Qc4EH6Aenb1GFlnZIF5uueiz7H2+lrq29VnfP3xJTvogyBY3wfUOagGbWLsIWNi05KxNDbgh1cblTK5LUS9QZARB1e3QdgJsKkOzd7QzdN9JHGNSI0gJiOGiMS7uNpWB5NK0O1z/cbyEirxGF4HBwd8fX3ZuHEjANu3b8fFxYUaNWqQmZlJSkpK/rY///wzDRs2LLSdAQMGsGvXLmJiYpAkieXLlzN06NCShiUIgiAIgiAIQhk6EH6A0LRQXqn1SpmuZ+tm6cZ3Hb7Ln6cbnBzM9GPTeevQWwCk5qby4YkPMTYw5rPWn2EgL0EiGn1Zl9yqsmHoT3x0ozIXwpKRy+CbYb5UtS2DnlLHetBvObx9FVq/C1mJsHsa3NlfYLP5R+cjU6Wj+KEtnFxaeFvCY4qV4E6YMAEXFxciIyPp0qVL/hzbFStWsGLFCjw9PVm4cCFr1qwBIDY2lnbt2lG/fn3q1avH0aNHWb9+fX57Y8eOZdeuXQB4eHgwb948WrZsSY0aNbC3t2fChAn6fp5P5ukJCkXRX0X0Pj+LHTt24Ofnh4+PD7Vq1aJ9+/ZotVpAt05ttWrV8PHxyf96ONa+bdu27Ny587H25s6dy9tvv12iWB48eEDr1q1L+lSKxd3dvcDau4IgCIIgCMLLwcTABG9bb0bUGVEux/Ow8mBO8znsH7ifST6T6F+zPwA77uwgNiuW95u8j5tlCUeAHlmoS25f+ZlNiTX46ayuFtCMrrVo4/l4/SC9sqwCHebA1BvQ+1uo1VN3/4NLZG4ZwZWgdbSN3IRTThrJeZllG8tLpFiXOYpaJ9XLy4vTpx+vBubh4cGlS5eKbG/VqlUFbo8bN45x48YVJ5Sy0aYNhIaCSvX4Y0oltG1bquajo6MZP348Fy5cyC+odfHixQJzCJYsWULfvn1LdZzicnJy4vjx4+VyLEEQBEEQBOHl4u/ij7+Lf7kft5JxJSY0+KcjLMA7gOrW1WntXIqOm/4rIfYGgdqazN11BoBeDZwY71+Oy+8YmoHvyH9u3zmA2c3fOYsJZNxgg0zD8fT7rCy/iF5oFV9m+HkwZ84/JcH/TZJg9uxSNR8bG4tCocDGxib/Pl9fX70sZv0kWq2WSZMmUbt2bRo0aICfnx85OTmEhoZibW2dv91vv/2Wv82MGTOws7MjNDQU0PXEzpkzh+bNm1OtWjU+/vjj/P0WL15M48aN8fHxoXHjxoVe7BAEQRAEQRBeDpIkEZYWVtFh5JPJZPi7+D/7OXX0ZQjUjTzFyIJoq/q8vvEiKo1EnSqWfDGgfpmfpz9JhM9QmsizWU8e9y3qMV7KZM3ltUSkRlRYTC8SkeACuLpCQAAYGha839AQRo/WPV4K9evXp1WrVlStWpV+/frxv//9j6ioqALbvPPOOwWGKD9aeKukLl++zMGDB7l+/TqXL1/m0KFDGP7rOcbFxTFmzBh+/fVXLl++TK1atUhMTCywTUpKCqdPn+b8+fMFYh85ciTnz58nKCiIb775htGjR5c6ZkEQBEEQBOH5dC7mHD1/7cnW21srOpSSezjnds/7kBpJjkrD6xsukJCRi42ZIStG+mFiWLGrfcw/Op/LchmjZDkcchtNjgzkMjkLji2o0LheFCLBfWjOHN3iyY/Sakvdewsgl8vZvn07p06domvXrpw8eRJvb29CQkLyt1myZAlBQUH5X9WrVy/1cT08PFCr1YwZM4Z169ahUqkeWxv4zJkz1K9fn1q1agEwatSox5LgYcOGAWBnZ4eHhwf3798H4NKlS7Rp04a6devy+uuvc/v2bbKzs0sdtyAIgiAIgvD8WXllJQqZghZOLSo6lJKJvqJLbvOyYMgmJEtnZv56jcuRqSjkMr4d1hBXmyevuVvWIlIjWHt5LXmavAL352nyWBO0RvTiFoNIcB/6dy+unnpvH1WrVi0mTJjAzp07adasWX6hrbJiZWXFtWvXGDZsGLdu3aJ+/foFkuriMjb+Z7FshUKBWq0mLy+P/v37s2jRIq5du8axY8cAyM3N1Vv8giAIgiAIwvMhKC6IczHn6OHRAxcLl4oO59lFX4H1vXXJ7dCfoGZH1p0KZfvFSABm9ahNi+p2FRzk35WTKXx4tAyZ6MUtBpHgPurRXlw99d4CREVFcfLkyfzbycnJ3L9/Xy+9tE8SHx9PZmYmnTt35tNPP8Xd3Z0bN24U2KZZs2ZcuXKF27dvA7Bx40by8vIKa66AnJwc8vLy8tcs/uabb/T/BARBEARBEITnwg9Xf0CGjNfqvVbRoTy7vEzYOKBAcnv6biIL/rwJwABfFwJauFdsjH87GnYUjaRBLpMjl8mRIcv/WSNpOBJ6pKJDfO7pedXiF9zDXtxVq/Tae6tWq5k/fz7379/H1NQUtVrNqFGj6NOnT/4277zzDnPnzs2//d577zF8+HBAt6zSpEmT8h/75ZdfAFi9ejXbtm3Lv3/q1KlMnTo1/3ZERATjxo1DpVKh0Who2bIl3bp1KzD/18HBgVWrVtG3b1+MjIzo1KkT5ubmBYpQFcbS0pKPP/6YJk2aYGdnJ9YuFgRBEARBeEndTLzJschjdKraCQ+rcqwurC+GZtDjS1CaQs2ORCZn8eZPF9FoJRq4WPFJv7oVWlTqUcGTgwvc3rt3L5o5mgqK5sUkEtx/mzMHjh3TW+8tQNWqVfPXtS3MkSNHnvmx5s2bF0iIC+Pr68uFCxceu9/d3Z2UlJT82x07dqRfv34A7Ny5kz/++CM/wX1YTfmhwMDA/J+nT5/O9OnT82+/9957+T//ez9BEARBEAThxSSXyWnh1IJx9SpwWc+SiL0OpnZgURnq9AYgO0/DhA0XSMrMw87ciOUj/TBWVmxRKUG/RIL7b66u8Pdw3f+Kb775hi1btqDRaLC0tGTTpk0VHZIgCIIgCILwnPCy8WJFpxUVHcazibkK63qDlTOMPwpyBZIk8f6OK1x/kIZSIWP5CF+qWJlUdKSCnokEV+DDDz/kww8/rOgwBEEQBEEQhOdMcHIwNa1rPjdDeIsl5pouuc3LgPZzQK7rof3h+D1+C3oAwNze3jRyt6nIKIUy8tIVmXr44ZMkqYIjEf7t4WvyQv2BFARBEARB+I+KTI9k8O+D+eTsJxUdSvHFXIN1vXTJ7ZBN4NkZgGPB8Sz86xYArzRxY3jTqhUZpVCGXroeXLlcjlKpJDExEVtb2wpPprRaLRqNmBguSRKJiYkolcrH1uIVBEEQBEEQnj8/XvsRjaShU9VOFR1K8cQH/70UUMHkNiwxk8k/X0IrgV/VSsztXaeCAxXK0kuX4AK4ubkRHh5OUlJSRYdCdnY2JiZibD+AUqnMX1ZIEARBEARBeH7FZsayM2Qn9e3r08SxSUWHUzxWzlClATR9Iz+5zcxVM379BVKzVVS2NGLZcF+MDERRqZfZS5ngGhoaUqNGDbRabYUPVT5w4AAdO3as0BieBzKZTPTcCoIgCIIgvCDW3ViHSqtifL3xxR4RGZeeg7FSgaWxsoyj04lIjaDjho4cGrQd58p1dcsBjdgBj0xZnPbLZW7HpmOokLN8hB8OlsblEptQcV7KBPeh5yWhUijEVSJBEARBEAThxZCUk8Qvt3/Bq5IX/i7+xdpnz7UYJv98EZlMRldvR4Y0dqW5hy1yedlNF5x/dD6GCSFY/NAeOs6DZm/kJ7cA3x+5y1/XYgD4uF9dGrpVKrNYhOfHS53gCoIgCIIgCILwbLSSlp7Ve9LKqVWxem+PBscz+eeLqDQSILHr8gN2XX6As7UJgxq5MNDPBZdKpnqNMSI1gvNB6ziEKUbqHOKNzLF/5PFDt2JZtE+39GdAC3cGN3LV6/GF59fz0cUpCIIgCIIgCMJzwc7Ejo+af0SHqh2euu350CQmbAhEpZHwdrLky0ENaFnDFoColGy+OnCH1l8cZsSqs/wWFEWOSj/FVxcensPvWmMskTFUrmJm5PH8x+7GZ/DWz0FIEjStZsPMHrX1ckzhxSB6cAVBEARB0CuNVsPZmLMExgSizdXShS4VHZIgCMV0I/EG1a2rY6Qweuq2VyNTGbPmPDkqLdXtzVg/pgm25kYM8HMhIimLXy5Esi0wggepOZwISeBESAKWxgb0bejM4EaueDtZlmjFk4jUCOwub8YVQyaTzU5JhUHQGmb7z8bKyJFx6wNJz1XjbG3C98N9USpEn95/iUhwBUEQBEEoFZVWxfWE61gaWeJh5QHAe0ffIy0vDWOZMa/mvIqNsU0FRykIwtNkqbKYsH8C1ayqsb7b+idueyc2nVd/PEt6rhpXGxM2jW2Grfk/SbGrjSlTO3nyVoeanLqbwNbASPZeiyEtR83602GsPx1G7SqWDG7kQl8fZyqZGRY7zoWH5vCJpOQWGpajAkAukzP/6AKk5HHci8/EyEDOipF+BWIS/htEgisIgiAIwjPRSlruJN/hTPQZzsWcIzAmkCx1FsNqDeODph+gkCuY33I+kemRLApcxPLLy/mw6YcVHbYgCE/xS/AvpOSm0NOj5xO3C0/MYviqsyRnqXCwMGLTa81wtCq8OrFCLqN1TXta17QnJSuP34IesDUwgusP0rgZnca832/w2e5bdPKuzOBGrrSqYYfiCYWpIlIjWHltI4fRYo0M9d+b5mny2H4+G0tVHABfDKxPXWerkv0ihBeaSHAFQRAEQXgiSZJIzEnEzsQOgG8vfcsPV38AwEBmQH37+jSt0pQ2rm3y9+ng1oHwlHB+uvgTW29v5ZVar1DNqlqFxC8IwtPlanJZd30d9ib29KnRp8jtolOzGbbqDHHpuVQyVbJpbFPcbItXQMra1JBRLdwZ1cKda1GpbLsQya+XokjNVvHnlWj+vBJNFStjBvq5MMjPtdB25x+djwwZN2XaAvebaJpjqRoKwHh/D/r4OD/DsxdeJiLBFQRBEAThMfFZ8ZyNOcvZaN1Xam4qJ145gVKuxN/FH5VWRdMqTfF18MVUWfjJ7YJjC2ilbMXW3K3sC93HhAYTyvlZCIJQXDvv7CQ+O55pjaYVOf82ISOXEavOEpmcjYWRAevHNKVmZYsSHa+usxV1na14v1stDtyMZWtgJMfvxBOdmsM3h0L45lAIzT1sGdzYha7eVTAx1C272fn6LnK0Mn6S/TOv1kDril3eOwDIjG4zvUu3EsUkvBxEgisIgiAIQr6UnBRG7RnFvdR7+fe5W7rTq3ovslRZWBlZ4ePgg4+DzxPbiUiNYO3ltSyvtZz70ffp3rd7GUcuCEJJqbQqfrz2I9ZG1gzyHFToNqnZKl5dfY678ZkYK+X8OLox9VxKPwTYWKmgZ30netZ3Iiolmx0XItl6IYKIpGxO30vk9L1E5hhdp5ePE6853mNQbg6D6o9iQ/+VuriyVPT57gShOVm42Ziya9IkDERRqf80keAKgiAIwn9QtjqbS3GXOBd9jrPRZxlZZyTdPbpjZWSFudKc3tV708SxCU2rNMXRzPGZ259/ZB6TJCVuaddQqVUsOLaAFT1XICEhl4mTT0F4nmi0GgZ6DsRMaVboiIzMXDWj15zjRnQahgo5K0c2orG7/gvHOVubMLlDTd5sV4Mz9xP5JTCS3VejSc9Vs/lsKCMNZ5IrN2SHRQCdM3KxNjVkyuZLhCZmYaJUsPJVP6xNi1+sSng5iQRXEARBEP5Dfr/7O7+G/EpQXBAqra76qKWhJal5qQDIZDI29dhUqmNEpEagCdrIEskIIn7EjDw2XttIopTImLpj6OHRo9TPQxAE/TE2MGZc/XGFPpaj0jB+QyAXw1NQyGV8/UpD/D3tyzQeuVxGi+p2tKhux9ze3vxx5QFJx1dROyOCb9V9WHQwmdmHD+LlaMH1B2kAfDm4AbUcLcs0LuHFIBJcQRAEQfgPiUyP5FrCtfze2aZVmuJVyQuFXKG3Y6zcO41vJF0vyj3LBijSTiBJEndT7rL04lI6Vu1YrDU2BUEoe7eTbmNnYoetie1jj6k0Wib/fImTIYkA/G9gfbrWffYRHaVhZaJkuI8tHN+C2sSOzFqTsbmSQlJmXn5y+2a76nSvV6Vc4xKeXyLBFQRBEIT/kJF1RjK23liUCmWZtB+RGMKgG7sxRoY/mYxyHUXCjeOgyuFB0gM0koZNNzcxpu6YMjl+eYpIjaDjho4cGHkAVyvXig5HEJ6ZJEnMPDGTuKw49g/aX+DCk1YrMe2Xy+y/EQvAgj7e9Pd1qZhAY65AXhYGneYxo3Fj3umh5dCtWH4LeoCTtQlTO3lVTFzCc6lYk2CmTJmCu7s7MpmMoKCg/Pvv3LlDixYt8PT0pHHjxly/fh2AnJwc+vbti6enJw0aNKBTp06EhIQU2nZoaCgKhQIfH5/8r7t375b+mQmCIAiCkG/Z5WWsvroaM6VZmSW3AJv2vkcNZMwjl+MyDQDGEvhJclLTUzGSG/HDlR9IzkkusxjKy/yj8wlODGbBsQUVHYoglMixyGPcTr5Nz+o9CyS3kiQx67dr/Bb0AIAZXWsxsrl7BUUJVG0BUy6B7ygADA3kdK1bhWUj/Jjds84T180V/nuKleAOHDiQEydOULVq1QL3T5gwgfHjxxMcHMyMGTMICAjIf2z8+PHcvn2by5cv06dPH8aOHVtk+xYWFgQFBeV/Va9evWTPRhAEQRCEx6i0KjZc38CBsAPIZGV7Ivhj4nV8ZFl8JlMjl8mRIeMAZuzFDGOtmoyMDDJUGSy/vLxM4yhrD6tEA6wJWkNEakTFBiQIz0iSJFZeXYlSriTAO6DA/Z/9dYufzoYDMKldDd5oW4Hn5rkZuu/m9qAQg0+FpytWguvv74+LS8EhCXFxcQQGBjJixAgABgwYQEREBCEhIRgbG9O9e/f8f6LNmjUjNDRUv5ELgiAIglAsF2Mvkq5Kp61r27I7SGokpEYSPDmY4I/UqD7SoJmjwdnSmZY9v8EWGakdvuTm6zdp6NAQjaRBkqSyi6eMzT86n/GSkrWSMXbIRS+u8MI5F3OOK/FX6FejHw6mDvn3f3MohJXHdMuEBbRw593OnhUVIkRfgcV14Nr2iotBeOGU+DJIREQEVapUwcBA14RMJsPNzY3w8HBq1KhRYNulS5fSp0+fItvKzMykcePGaDQa+vbty8yZM1EoCi92sXjxYhYvXpx/OyUlhb1795b0aZS5nJyc5zo+4enEa/hiE6/fi0+8hqX3W9pvABhGGLI3Rv+/S5lWTePrczHLieaEz1eolBb5j+Xk5LAv3p7WhrbIj3zJ8bRqDJUPRZGqYN++fXqPpTxotBo6pnsxQDLBADX95TYcTHFl91+79Vqs63kgPn8vvqJew2VJy5Ajp3pS9fzHD0Ro+SVEC0BzRxlNDSPYty+yXOPNJ0k0uvkxNrlpnA5OID3qv/k+FJ/BZ1fm/fyffvopISEhHDx4sNDHq1SpQlRUFA4ODiQlJTFkyBC+/PJLpk+fXuj2U6dOZerUqfm3XVxc6NKlS5nErg979+59ruMTnk68hi828fq9+MRrWDqSJLFkxxKczJwI6BFQNkOUD8yDjGBoPon2XQYWeGjv3r107tIFbKNh9zQ6VoqE5m8CkKvJJSE7AWdzZ/3HVIbG7RpHm5CfMZAUfEce41SJHLz/GbnWI1jZa2VFh6dX4vP34ivsNZQkCdV9FeFp4QzzGQbAlvPh/HL4KgDd6zny9dCGGCgqcM3q4L1w5ir4DKdF3wkVF0cFE5/BZ1fid62rqyvR0dGo1WpA90EJDw/Hzc0tf5tFixaxY8cO/vrrL0xNH180GsDIyAgHB92wCBsbG8aMGcPx48dLGpYgCIIgCI8ISQkhKiOKtq5tyya5vXsITiwBp4bQ4aP8ux+kZNPnu5N8d0VDVp4aGo4Ec0c4uRRU2eRp8uj/W3+mHZmGVtLqP64yEpEawZ9Ba+kvydmLmkmyHOqQwbfabNYErSEy9jpo1BUdplAMKo2K/WH7yVZnV3Qo5U4mk9HToycTfSYC8PvlB7y/Q5fctvG056shFZzcatSwbzYYmED7WRUXh/BCKvE718HBAV9fXzZu3AjA9u3bcXFxyR+evHjxYn7++Wf279+PtbV1ke3ExcWhUukWms/NzWXHjh00bNiwpGEJgiAIgvAIRzNHPm75Mf1q9tN/4xlxsGMCGJrDwB/BQLf2bWq2ioA157gckcKVRIl3t15GqzDSnag2051QGyoM8Xfx51riNfbc36P/2MrI/KPzSZDJqEUGb6JLjO7KJJCBUpKRtaEPbOwPWUkVHKnwNN8EfcPUI1OZf3p+RYdSrsLSwghODs6/fehWLO9sCUKSoEk1G5aP8MPQoAKTW4CL6yDhNrSYDJZOFRuL8MIp1rt3woQJuLi4EBkZSZcuXfKT2BUrVrBixQo8PT1ZuHAha9asASAyMpJ3332XlJQU2rVrh4+PD02bNs1vb86cOSxfrqueeOLECRo2bEiDBg3w9fXF0dGRmTNn6vt5CoIgCMJ/koWhBX1q9KGWTS39N35xPWTGQe+lYOMBQK5aw4QNgQTHZmDw99Idf12LYfH+YPAdCa3eBqUJABPqT8BCacHSi0vJ1eTqP74ycDTsKBpJQ5Rcxn25DLlMnv+llTQEqjLg/lFY2UZXIEd4LkmSRFxWHDJk/HHvjxfqIktpLb24lIG7BhKZHsmpuwm8vvEiaq1EfRcrVo9qhInhczCP3MwenP2g5VsVHYnwAirWHNwVK1YUer+XlxenT59+7H4XF5cnVkacP/+fK2X9+/enf//+xQlDEARBEIRnkJaXRnJOMlUtqz5945Jo/S64NAaPNgBotRLv/XKFM/eSkMng22EN2X70EvsjJL49HEJ1BzP6NXSB9FhIDsXarSnj64/nywtf8tPNnxhdd3TZxKkvWi3BVnWg2Qxo/FrR211YB7unwerO0OdbqDew6G2FCiGTyVjYeiFv+rzJiN0jmH9mPj4OPjiaOVZ0aGXqXso9DoQdoLVLa+KTzRi37ix5ai2elc1ZN7oJFsZlt0b2M6nTG2r3gjJe1kx4OVXw+ANBEARBEMrK/tD99Py1JwfDCi/0WGIp4aDV6E4+/05uAb7Ye5tdlx8AMKdnHbrWrUL/6nI61NLV2pix7SoX7ifAD+1h+1jQqBhWexjO5s78cOUHknOS9Runvl3dCvcOQ0rYk7fzGwUBu8HEGra/Bhc3lEt4QvFcjb+KWqubJ+1q4cq8FvNIz0tn9dXVFRxZ2Vt9bTUSEp2dhjPqx3Nk5mmoamvKxteaUsnMsKLDg7QHEHdT97NIboUSEgmuIAiCILykjkQcQSFT0Mixkf4azU6GNT3g56HwyGit9adDWX70LgDjWldjdMtqAMhlMpa+0pBajhbkabRM2HSJ1LojITUcLm/GUGHItEbTCKgbgLGBsf7i1DdVDhxcACaVoNXUp2/v2hjGH4V6g6F2z7KPTyiWiPQIxuwdw4xjM/Lva+valiVtlzC9ceEreLwsItIj+PPen9S39WPB9kzSctRUsTJm42tNcbB8Tj57B+bBshYQf7uiIxFeYCLBFQRBEISXULY6m9PRp/Gt7IuVkZV+GpUk2DVZl5x6dc/vYdl3PYa5u64D0KN+FT7oVrvAbuZGBqwa1Qg7c0MSMvIIuOaDZGwNxxeBRk3Hqh0ZX388JgYm+omzLJxbAWmR0Hqarme2OCwqw4AfdEkxwIW1EH25rCIUnkKSJOafnk+OJoehtYYWeKxj1Y4oFbrhuVmqrIoIr8ytubYGjaThzu2mJGTkYWtmyMaxTXG1KXylk3L34BJc2Qwe7cDeq6KjEV5gIsEVBEEQhJfQmQdnyNXk0talrf4aDVwNN38H737gFwDAxfBkpmy+hFaCJu42fDmoAXL540MLXSqZsmKkH4YKOZfiNOwy7g3JoXBtW/42STlJbAve9ti+FS4rCY59CdZu0GRcydrIiIO/3tfNy72yVb/xCcWy6+4uzkSfYUDNATR2bPzY45IkMe/0PEb+NZI8TV4FRFi2WlfpgnFWe+LiXbE0NmDDa02pbm9e0WHpSBLsnQUyOXT+uKKjEV5wIsEVBEEQhJfQkcgjALRzbaefBmOuwZ4PdUler6Ugk3E/IZOx6wLJUWmp4WDOylf9MFYWXYHVr6oNXwysD8DsmFbkKMzg2CLdfF7gi/NfMO/0PC7GXtRPzPqSEAwKJbSfDQZGJWvD3AEC/gQTG9gxTve7FOvllpvE7ET+F/g/bI1tecfvnUK3kclkOJg6EJwczDeXvinnCMtWSlYeC3/NJT6sM6aGBqwd04Q6TpYVHdY/bu+GsBPQcARUrlPR0QgvOJHgCoIgCMJLytvWG1dLV/00tm8mSBoYuBaMrUjIyCVgzTmSMvOwtzBi7ejGWJs+vUhN34bOTGpXgzTMWZAzhFNu4wFdj+8bDd7AQGbAosBFT1yNody5NYO3gqBuKashu/jB+CPg1hzOfAcb+kJmgh4CFJ5m+eXlpOam8mHTD584ZH9cvXHUt6/PuuvrOBd9rhwjLDuJeekMWrea27FpGBrIWfVqI3zdKlV0WP/QamD/HFCaQTuxVKhQeiLBFQRBEISX0LwW8/ipx0/6a3DAjzBoHbj4kZWn5rV1gYQlZmFmqGBNQGNcKhV/Ht/UTp50q+vIJk1HXj3rwun7uurJVS2rMqTWEK4mXGVv6F79xV4aWUm670YWINfDaZNFZXh1FzQeB2GnIP5W6dsUnuot37eY3Ww2nap2euJ2BnIDPmv1GcYGxsw8OZO0vLRyirBs5Kg0fB1+jBjT7zG0COb7Yb60qGFX0WEVJFdAr6+h+//A4uVepkkoHyLBFQRBEISXlFymh3/zOam672a2ULsnao2WKT9f4nJECgq5jO9H+FHX+dmKWMnlMr4c3IC6zpaotRJfbdxG9NUjAEyoPwELpQVfXfyq4udBPgiCxbX1v8yPgSH0WAQTT4N7K9192Sn6PYYAkD8SwNzQnMFeg5EVY+kZN0s3ZjSeQUxmDF+c+6KsQywzeWotYzceJ8PkFNpce77oMYiOdSpXdFiFc28JDYdXdBTCS0IkuIIgCILwkpl6ZCprrq0pfUOJd2FpAzivWx9UkiTm/n6dAzfjAPisfz3aeNqXqGlTQwNWvdqYauYaftTOJvPXt0nNyqOScSXG1R9HVEYUf977s/TPoaQkSTdsUp0LTg3L5hgPK8VmJsLy1roiVBpV2RzrP2pR4CKWXFiC6hl/r/1r9ue1uq8xpt6YMoqs7H198A7nEnYhU+TSx30kfX30NF1Bn879AHcPVXQUwktGJLiCILy0ItMjiVJFVXQYglCuItIj2B+2n/up90vXkDoXto3W9Sza1gBg2dG7bDwTDsDbHWsyuFHpTpgdrYxZGuDPVqkjNbT3Wf3j96g1WobVHsYX/l/Qp0af0j2H0rh7EO4fBZ9h4Fi3bI8lacHKBc4ug/V9ISO+bI/3H3E5/jIbbmzgYuxFFPKii58VRiaT8bbf23hYeZRRdGXrWlQqy08GorQ5iZG2EvM6jqjokB6XHAZ7P9RdSNJqKzoa4SUiElxBEF5KmapMuu3oxpLEJS/tmoaCUJijEUcBaOvatnQN7f9It2ar/zTwaMPOS1F8sec2AIMbufBWh5qljFSnvos1bj1nkCsp6Ri3lvm/X8dIYUS3at30M8S6JLQa3fM3MIZ2H5b98cztYdQuaDJBV0l2ZVvdmqBCiak0KuaemotCrmBui7mlei/tDd3L1CNT0UovRhKWp9Yy7ZfLKCvvQK7IZoB1D5RyZUWH9biD80CTB50/0c/8dkH4m3g3CYLwUjI1MKW+vW45kgPhByo4GkEoP0cijmCkMKJZlWYlb+TWbl1voltzaPM+p0ISeG/bZQD8Pe35pF+9Ys1lLK4OTRpwy7k/9eX3CT+3i/WnQwEITQ3lrUNvEZ4WrrdjFcuVrRB7DZq+rutZLQ8KJXT/Avp8D5nxsLoLRF4on2O/hH689iMhKSGMrzee6tbVS9XW+Zjz7A/bz4Ybep6LXUa+PxLCrZh0VLEDmVJ/Lr6mPhUd0uMiA+HadqjZBTzaVHQ0wktGJLiCILyUZDIZ33f4HgUKdt3dVdHhCEK5SM1NJTA2kGZVmmGqLH5V4wJyM2DXJDC2hgGruBWfxYQNF1BpJLydLPl+uC9Khf5PH+oPmYNapmSKwQ7m/X6dY8HxJGQncCjiEF9d/Ervx3siyypQtSW0Kny91DLVcDiM+Qu8+0GVBgUeikiNwOtbLyJSI8o/rhfIvdR7rLiyAg8rD16r91qp23u30bu4W7qz9OJSbifd1kOEZedgyFW+P/s7AK+39GWcb/8KjqgQkgR7Z4JMAZ0XVHQ0wktIJLiCILxUQlNDmbB/ApHpkVgZWVHHqA7nos8RkxlT0aEJQpk7GXUSjaQp3fBkI3MY+CP0/4FobBm95jzpuWqcrU1YE9AYcyMDvcX7KJmVC1KXz9hq+wYaLbz500Ws5V60d23P/rD9BMUFlclxC+XRFkbvBhPr8jvmo5z9oP8KUBjokoETSyAjnvlH5xOcGMyCYyIpeJJsdTauFq7MazEPQ0XRazMnZOSy4UwYCRm5T2zPxMCEha0XIkkS7x9/n1zNk7evKLcT7zD1+OsYOm2iuqPE5A41KjqkwsVeh6hA8Av4p9CaIOiRSHAFQXhpqDQqZhyfwekHp4nOjAagkUkjJKSKrcYqCOWkrWtbvmr7Fe1c25WsAY1a992jLWlu7Ri95jzRqTlYmShZN6YxDpbG+gu2EMpm43h3zEicrIxJz9GttftanUkYyAz4X+D/8pd8KTNZSRBxvmyP8axCT8CBuaiXt+Ra0HoA1gStEb24T+Bt682O3jvwcfApcpuwxEz6fX+S2TuvMfyHs2TnaZ7cpp03rzd4nZCUEJZeXKrniEvvdtJtRuwOQCPLJPfBEBYPaIWRwbMV1io3jnXhzXPlM79d+E8SCW4ZUWm0bLsQySeBapIyK3gdP0H4j/gu6DtuJN7gtXqv0dixMQC1jGrxvzb/Y3htsb6e8PIzVZrSoWoHbE1sn33n+8fg+6YQc5U8tZbXN1zgVkw6hgo5P7zaiBoOFvoPuBD25oZsaZtME8P7hCVm8fFvCQyoOZAr8VfYF7avbA9+/EtY3RFCT5btcZ5FtdbQdxlSZjyHtUaMlJTIZXLRi1uIuKw4zsfoLlA8qWryrZg0Bi4/TURSNgC3Y9OZufPqUy+gvFbvNVo4taC6Venm9OrbjcQbBOwZQ7Y6k+zI4Yzx7U0DV+uKDqtwD3/HttXBzK5iYxFeWiLBLSMqjZZPd98kPB1+PFHKpRoEQXiqc9Hn+PHaj9S1rctEn4n59ytkCrq6d8XYoGx7ngShooWnhXM94XrJejkzE2D7OEiPQTIwYcb2K5y6mwjAkiE+NKlmo+donyAlHNd941nm+AcyGZy7n0R8pD/mSnMuxJZh0aXkUDi3Eqr46IprPUciqrWmlSyTOCTWY0IttVr04hbi07OfMmbvmCfOk70Qlszg5aeJT8/FxsyQ11pVA2DHxSg2n3/y79NAbsDyjssZ4DlAr3GXRlJOEuP2jSMzL4vsyFepatKYdzp6VnRYhctOhmUt4PrOio5EeMmJBLeMmBoa5P/RXHc6lLQcsXC7IJSV1NxUPjjxAcYGxiz0X/jYcgiSJHEr6RYHwkQ1ZeHl9dOtnxj651DupNx5th21Wvj1dciIgR6LWXRBza+XdOtHz+pRmx71q5RBtE9QqSrUG4Rt3Gm+aqGb6/jbhTQGO37Nh03LcEjjoY//XrJkwXO3ZMn8o/MJksvojW7Js/kYiV7cfzkQdoCD4Qfp4t4FL5vC53UeC45nxKqzpOWoqWJlzNYJzZnVozZ9fJwA+GjXda5FpT7xOA+rh0dnRLPq6qqyHzb/FDbGNjQwH0RmxCi0WV78b2B9jJXP6dDkY4sg7obucyYIZej5+gv+khnZvComBpCeo2bD6bCKDkcQXlpymRw/Bz8+aPIBVS2rFrrNjGMzmHd6HiqNuNgkvHwkSeJIxBGczZ2paf2M69Oe+Q5C9oPPcDZmN+O7w3cBGN3SPf9CbbnznwbI6J26iUF+umV6vt4fx4EbsWglLTnqHP0e78EluPoL1OgE1fz123YpRaRGsPbyWvI0eVyWaXmHHD4glzxNnujF/VtaXhqfnv0UC0ML3m/yfqHb7L4azWvrzpOt0uBhZ8a2N1pQw8EcmUzGZ/3rUdPBnDy1ljc2XSA16+n/J74N+palF5fyx70/9P10iuV64nWyVFncjc/gwFkvNJk1GdOyGn5Vy3G0xbNIugdnV4BTQ6g7sKKjEV5yIsEtQ5bGSto56670rT5xn6w8dQVHJAgvJwtDCz73/5y+NfoW+rhMJqNX9V6k5KZwLOpY+QYnCOUgJCWEqIwo2ri0ebb1aWOuwoG5YFuTw9WmMee3awB0q+vIrB519LrW7TOxqwl1+yMLOcCnTfJoUs0GSYK3fjlKn18H8vWlr/V7vANzARl0mqffdvVg/tH5yPjndfhKlsdNmRYAGTLRiwssubCE+Ox43mv0HnYmj8/r3HwunEk/Xcxf6mrr681xtjbJf9zU0IBlI/wwNVQQkZTNu78EodU+uWd2WqNp2JnY8enZT3mQ8UDvz+lJzsecZ/Se0Uw/Np3p266Qp9bibmvKtM7PcUXiA3NBq4LOnzx3IySEl494h5WxDi5yTJQKkjLz+OlsOS9ULwgvubC0MJZfXo5aq0Ymkz3xZLynR09kyPj97u/lGKEglI8jEUcAnn15IDsvaD6JW62/ZuK2YLQS+FWtxJIhPijkFZTcPuT/HgDKU0tYPsIPNxtTMrNNCE/M4eebPxORpseey84fQ9fPoLK3/trUk6NhR9FIGuQyef6XAXJGYUgzrcSR0CMVHWKFismMYWfITpo6Ni30IueKo3d5f8dVtBI0cbfh5/HNsDM3yn/84drCRkbJfD6gPgAHbsax/NjdJx63knElFrRcQIYqgw9PfIhG++QqzPpy+sFpJh6YiEKmoLLUnQthyQB8PqA+JobP6dDk8LNw4zeo1RPcW1Z0NMJ/gEhwy5i5oYzhTd0A+OH4PXLV5fMHUBBediqtivePvc/3Qd9zI/HGU7d3NHOkaZWmHI08SkpOStkHKAjl6EjEEcyV5jSq3Kh4OzycN2hgSJjvdIb/npk/dHPVq42ejzl8DrWh11LothAbM0NWj2qEhZEhGdHdUEtqFl9Yor9jOdaDZm/orz09Cp4cjGaOpsCX6q37rJVZcMzJn+BJRRdU+i9wNHNkc4/NfNTiowIXOSVJ4vM9t/jsr1sAtK/lwLoxTbA0Llij4dG1hXs1cCKghTsAi/be5vTfhdaK0sq5FUO9hnIh9gJrr6/V6/MqzImoE0w+NBmlQsm8JkvZdFT3fANauNPUowSV08tLWiSY2kHH52+EhPByEgluORjn74GhgZzYtFy2XYis6HAE4aWwLGgZ1xKvMbruaOrb1y/WPr2r90atVbMndE8ZRycI5Uej1VDVsirdq3VHqVA+voGnJygUBb8aG0M/U5IqWREwZyuJmXnYmRuybkwTKpkZlv+TKIpfAFjrLhLXrGzBt8N9kbI9UKXX4UD4foLigkrX/s3f4dqOfxL+F4W1G/iNgqhAuP1XRUdTYdRa3dQvLxsvXC1c8+/XaCVm7rzGsiO6Xtg+Pk6sGOn3WA/nw/nN8M/awh92r42PqzVaCSb/fIm4tCfP957aaCrVrKpxK+lWmRacOv3gNFMOTcHYwJgfOv7AqoMaclRaXG1MmN71OR6aDFB3ALxzHexqVHQkwn+ESHDLQWVLYwY30hXJWHbkLiqNtoIjEoQXW2BMIKuurqKObR0m+Uwq9n4d3DrQy6MXtWxqlWF0L6+HQ/lEUZvni0Ku4NPWnzK7+ezCN2jTRpfUarW6L1ugixFadwOm9JnOfQsHTJQKfgxojKuNabnGXiyqbDizHOJu0sbTno96eZMb1w1JkjPt4MclTypU2bB7Ovz5LuSm6zfm8uD/HhiYwOFPdK/rf0xwcjA9dvTg9IPTBe7PU2uZsvlS/rSwkc2qsmSwD0rFv055JYngjX3pIhkA5FelNjSQ891wXyqZKknIyGXST5dQP+G8zcTAhPVd1/OF/xdlOme9ZqWa1LOrx+rOq7kQYsa5+0mAbmiyqaFBmR23VNS5kBat+1kpluoTyo9IcMvJBP/qKOQyIpOz2RVUvsUIBOFl8uiSQJ+3/rzwHqsimCpN+bT1p/g4+JRdgOVMpVGV2zIVjw7lE14gc+Y8MiQZGGiCpIAv4gdxwtEHhQy+H+5LfRfrioyyaHE3Yc8MOPoFAK82r8pwXz9Uyc2JiLFh15US1rc4swzSH0CbGWBsqceAy4mFIzQZB7HX4PqOio6mXGm0GuadmkdMVgyWhv+8dll5asatD+TPK7qkanL7Gszv44383/PJJYm0P96iQ3wI47UykMBJreLPS7peXGdrE74a2lC3DnNoEv/b++Rh4NbG1shkMjRaDacenNLrc43PigfAzsSOtV3XYoorC/8edj28qRstqj9eVOu5cXYFfOOrm4MrCOVIJLj69u+hYFFRoFDgam9B3yu6NTi/PxLy1Op8giAULjYrFhkyZjSegbuVe4na0EpaojOi9RtYBVl1bRVD/xzKwfCDaKWy68V5OJRPKSGWJnmOZKuz6b2zNz/d/KnojVxdISAADA2hmzE4KDgQ7sNyl/4AfNyvHu1qOZRPwCXh7Ktbvuf6rxAfjEwm46Ne3jSyCCA3tg8ztt3gSmTKs7WZmQgnlkAld2g0piyiLh+t3gFDCzj1zYs3zLoUNt/ezJWEK4ysPRJvO11hsNQsFSNXn+NosC4hnNWjNu929iq8V/X4IiwvrOMkWl4hGxNgH6Yc0xqzfP8MANp42jOlvW7JrRXH7rH3esxT41oUuIgJ+ydwKko/Se6f9/6k6/au+UXkAN7fcYWsPA3O1iZ80L22Xo5TJjITdevemtlBlQYVHY3wH1OsBHfKlCm4u7sjk8kICgrKv//OnTu0aNECT09PGjduzPXr14v12L+tXr2amjVrUr16dcaNG4dK9QKvU/nvoWCSlP/zxPM7kEkSd+Mz2VOMP5SCIDzOs5InO/vspH/N/iVuY/Se0YzaM6pME8LyopW03E25y9uH32bg7wPZc39PmVTznH90Pm9KSrKwYKnWkEWHihgOK5SrMw/OcD/1fv5cxCLNmQPN5eBrSGSCDeMddRWKJzdy4JUmbuUQaSm1mQ5IcHwRAEqFnO+H++Fhb0aOOocxP28nJvUZ1sY99j/ITYMOc8DgOZpz/KxMbWDwOhixHSpqSadyFp0RzdKLS3E2d2aiz0QA4tJzGLLyNBfCkpHL4IuB9Rnb2qPwBs6ugEMfE4SWHmSQJYNsGSwiD3dkTLn2BzHBujoNUzrUpHVNXQ/ptF8uE5aY+cTYhtcejpnSjFknZ5W6mOGuu7v48MSHVDKuRDUr3XrUP5+L4GSIrvDVZ/3rYW70nA5NBjj6OeSmQse5YniyUO6KleAOHDiQEydOULVq1QL3T5gwgfHjxxMcHMyMGTMICAgo1mOPun//PrNnz+b48eOEhIQQGxvLypUrS/yEKtyjQ8H+pXpSFN1rWgPw7aGQchtWKAgvg4i0CC7FXQJ0Q41LM9fJt7Iv0ZnRXIi9oK/wyt2pqFPEZsYytu7r7BmwhwDvACLTI3nv2Hv0/a0vYWlhejtWRGoE54LWsVBrgARMlAz44PIOEs8u/0/1Gj2PjkQeAaCda7snb+jqCrX6ERFmQxfz/yEhp39uOFMHFLPqckVzbQIebeHqL5CoKxxkZaLkx1GNsXBfTY7tCkavP0p2XjEu7uSmw+WfwKkh1OlXtnHrmVqjfbyOR40Oul6y/wBJklhwZgHZ6mzmNJuDqdKUiKQsBi0/za2YdAz/vvAxuJFr4Q1EX4G/phNtZEEPeS6pj/wbWSlTMYBsLAHrzcMh5CAKuYylQxtSxcqY9Bw1b2y8SI6q6PeYi4ULHzb9kPjseOafmV/i87wdd3Yw68QsKptWZk3XNVS1rEpUSjaf7r4JwJBGrvh72peo7XKREAKBq8G5EXiX/GK0IJRUsRJcf39/XFxcCtwXFxdHYGAgI0aMAGDAgAFEREQQEhLyxMf+bdu2bfTu3RtHR0dkMhmvv/46P//8c2mfV8V5dCgYYKhJ1/2WDQ1h9Gje7K6r9nojOo3Dt+MqLk5BeIGotCreP/4+Y/aM4UFG6eew9/LoBeiukL+IslRZTDv6Hj1/eZXas/9i6s/38FAM4ddefzKu3jgM5AZUMasC6OYsqzSlGxUz/+h80mQyDqLGnyxGk40BYLp3FmQl6eEZCSWhlbQciThCdavquFoWcUKflQR3DwNwZdxHdLBdQiYmtA4NYuFb3cu0KI7e+U8HSQtnvs+/y93OjDH1hyNTZHNP9RtTtwY9fQqQkQW8eQ76LgP58z9TKy4th62BEUzcdIGG8/dTe/Ye5v1+ndSsRz7XeVm6OcoX11dcoOVAQqJplaYM9hxMC+cWBMemM3D5KcISszA1VLBmdGO61nUsuoEq9aHHYoaYGBFDwbWF5TI5v8u1dJFlkytp4KfBEHoSGzNDvhvui4Fcxo3oND76regRiaD7/9K5amf2h+0v0f+Yrbe38tGpj3Ayd2Jt17W4WrgiSRIf7LhKRq4aR0tjZvZ8jocmAxz4CLRq6PLJf2ZkgfB8kUnPcHnJ3d2dnTt34uPjw4ULFxg2bBi3b/8z8b5JkyYsXLgQKyurIh9r3759gTYnT56Mk5MTH3zwAQA3btyga9euhIcXXjRi8eLFLF68OP92SkoK27dvL+5TKB8aDcTEYKKKp3H898QZ1+WWzQBwdASFgm+vaLiaKOFhCdN9FS/WCcZ/UE5ODsbGYnhNRdqTvocDmQdoa9aWnhY9n2nfol6/pYlLiVPHMcd+DkZyI32FWi7+Sj7OwdzfyInuiyqlWf79hnLwsZfRxEGijo0ChVzG1tStBOcG0868HU1MmqCUFb8oF+iKucRkxCBR8F+FkToT25xoJMfWKOQKKqXdINWsOlqF/n+X4jNYuLC8ML5J+ob2Zu3pbtH9sceNc+Lwu/kpJrnxHKq/mFlXbInNBmdDFe955WBiV6lc4tTn61cl/hhxNo3RKEzy79NKWj6JWUqKFEPmvam0cbCjjbMcR1OQ6+H/q1pSk65NJ02TRpo2jTRNGkZyIxqZ6Hq/s7XZKGVKDGT6GS6qlSTup8G1RC3XEiXCMwrfzkwJvavJaV1FhlLKw//SZEDieMNv0Cj093l5Xj9/99MkvrmsIVMNZgYwuYGCapaFv96WGffIMHVBKy/ecHSzrAiqPfiN6x4TkOS6v5mHIrVsuaPrPX+1lpyWVYq+OJKlzWJRwiKMZcZMs5uGXFb8CyknMk9wIusEr9u8jrXCGoCT0VrW39Ide1J9OfVsn+3CTHm/hpUTT2Odfpvb7gHldsyX2fP6GaxIr732GpGRRS+9+hwP3i/c1KlTmTp1av5tFxcXunTpUoERFWHcONiwnqSPvKmacYKqESoYsw8A+9rJ9P/+FPfSwLJmo+e7Ap7A3r17n8/32H/EhdgLHNp7iNo2tVncffEzVU2Gol+/xJuJfHbuM+Recrp4vDiv78m7sRw88ilazFBkNea97rW4/iCNvddjyFFpORcrcS4W7MwV9GrgRE2XxtyJuMOvab9yQnWCAO8ABnkNwsTA5OkHAz75eQAxwbv5VsqBf507KuVKAuwSWen/EXwbAKZ20P0L8Oqm1+csPoOF+/bSt5AEo/1HP14ZPPoybJoMOXHQ7QuORjckNjscI4WMtbsXU3PcJt2Io3Kg39ev8HZso215bd9rGNnv5UjUMI5EabA2VeLrVgm/qpVoVLUSDVysMP41AFybQYtJqLVq4rPiicuOIyErgbjsOOKz4knPS2dms5kA7AzZyeyTj883r21Tm5ldZpKWl8bYvWNxMndiUZtFGMhLdlqVnJnHsTvxHLoVx7HgeJKzCo66sDJR0sbTnna17EnOVPHVgWDSctT8HKzlQqo5s3v6YWQ3C3ZPo6PlPV3xKT15Xj5/W25tob1be+xN7TkZksDX6wPJUkNlSyM2vNYUz8oWhe8YcQ7WL9AN5R6y4RmOOBZn0E3DuL2bzp26krH5Mn9eiWZLCAzt3Jw6TkVX3/ZK9MLZ3BkrI6tiHU2lVaGUK+lCF7LV2fl/o2NSc5i25Cigpb+vM9MG+zzDc9BNMTl04BDtm7XH1UpPn3mtBtJj/v56oFsKKP0BZCZAn295+Dl118/R/vOel8/gi6TECa6rqyvR0dGo1WoMDAyQJInw8HDc3NywtLQs8rF/c3Nz4+7du/m3Q0NDC93uhTNnDqxdy2XbV2l3azbYXYaYq+BYD1+3SrSsYcvJkES+OxwiElxBKEJaXhofHP8AQ7khC/0XPnNy+yTdqnVjxZUVpOe9OOtfbj0fweyDGzCskoRhajfWjffPX9olI1fNvusx/HopipMhCSRk5LHmZCjgSjX7mTSrfp3gnN/5X+D/WH1tNZt7bKaKeZUnH1CVzSt3DuMsKdkrU3FXVrAXVyNpOBJ6BLp/Dx0+gkMfw89Dwas7dPscrF+Cv+XPsQn1J9DYsTH17OoVfODuYdgyEjR5MGgthxTN2fhrIAAfdK9NzU+OVUC0epQeC6e+hqavg7XuhL1JlSa0cWnDUY5ikdue+MTKpEkhHItK53hsGrKL6TgbhuJlcIP+CXloLQdiY53IaweHFnqI9xq/h6HCEHdLd7q4d8HexB57U/v8746mumGwZgZmuFu681foX8w5OYePW31crN46rVbSTVW6Fcfh23Fcikh5bDq7t5Ml7bwcaFfLHh/XSigeWeqmX0NnlhwIZtPZcIJjMxi5+hxdannzrYULyhNfgd9oMLEu0a/3eXTqwSk+Pvsx52PP09F2GlN+vkSeRktVW1M2vta06PWbY67BpoGABC0ml+zgV7bCr+OR1R3I532/4WZ0GvfiM5m46QK7JrfC0rjw/0t1bOvk/5yUk4SNsU2Rh1h1dRXHIo+xvONyTJWm+cmtJEnM/PUq6Tlq7C2MmNOzTpFtFGX+0fk00zZjwbEFrOxVzBo3cbcgLepfCWw0dP4YbKtD0n341q/wfbt8+mIuuyW8VEqc4Do4OODr68vGjRsJCAhg+/btuLi4UKNGDYAnPvaoAQMG0KpVK+bOnUvlypVZvnw5Q4cW/g/nhfL3XNw8hQXkdgLpGGwZAeOPgEkl3mxXg5MhiZwMSeRieDK+buUzVEwQXiRno88SmxXLzKYz8bAqoiJmCVUyrsShQYdQyBV6bbcsaLQSX+y5xYpjdzGtdhSZZMjmV97By946fxtzIwP6+7rQ39eFuLQcdl1+wM6gKK5FpXE/Xs39eC+QeVDd4wbW5mEYoTvZikiLwMrYqsBakvkOzMNDq4GO8wlu9faTg2z2OtTpA/tmwrXtuiSr66cv3BIsEakRdNzQkQMjD+ivt6OMKBVKmlZpWvDOpPuwaRAoTWHkryTYNWL6V7qE1t/Tnlebu5d/oPoWcxVOfwvqXOixKP/uqY2m4lfZj1dqvUJCupY+f7QhT/tPZeUEIENrRGCYHwkbL4A8B3vXtrhaOlLbwQU/ZzcaVKlKZTMHlH8PS/Vx8HniutkKuYJPWn9Ctjqb3+/9jomBCbOazSp06lFajooTdxI4fCuOI8HxxKfnFnjc3MiA1jXtaOflQBsveypbFj0ksZKZIfP71GVEs6os+OMGx+8ksPdWMrMMevK5wXJyjn+Ncec5xfyFPt+y1dnMPz0fEwMTvJRDmbjpAloJajlasP61JjhYFPF7SrwLG/qBKhuGbdUVKiuJOr3h5i64tg3zrARWDl5Gr5VXCE3M4r1fLrN8hN8Tp5ptD97OwnMLWdttLd623o89vuzyMr4P+h7PSp7kanIxVf6TrO8MiuLgLV29lk/61sXa9Nkqfj9c3q1ZrWasCVrDbP/ZuGanQGLIP0lrerTu5yZjwfvvomtrukJ2csHG5AbQbKIuwbV0giYTwLIKWDjp1mS2dAKLKmBk/kwxCkJZKNYc3AkTJvDnn38SExODra0tFhYWhISEcPv2bQICAkhMTMTS0pI1a9ZQr57uSvKTHhs7diy9e/emd+/eAPzwww8sXLgQgLZt27J8+XKUyuL11Li4uDxxDHaFiohg76FDdGnfHqL3wO5p0G4WtHkPSZIYuFxX0r5DLQdWBzSu6GiFIoihIRUrODmYmtY1SzxX/UV//TJz1by9JYj9N2IBLX61I+ne0JTX6o8q1v53YtPZGRTFzksPiErJzr9fqZDR1suBePOlxOSEMKzWK4ysM5JKxn9fbLt/DNb10g3nHL0bnuVCwN3Dur937WeDd9/i71eE8nwNx+0ax6pLqxjnO674vR0V4HzMebSSFr/Kfo8Piz2zDKq1QXKozbj1FzhwMxZrUyV73/Z/YtJUVvT++kkS/NAOYm/AW5d1J9mF+CX4F0wMTLA3scfyzglcDy/gmvMovuEVLoWnkFVIxWUrEyV+VR8Z1uxqjbHy6e/9XE0ubx58k7PRZxntPZp3/HRDhINjMzh8O47Dt+IIDEtG868CWJ6VzWnn5UBbLwcauVdCqXj2oleSJHH4dhwf/3GTsIQ09hlOR5IbcLbLLoY0ccegBG0+qqL/hn4Z+CVrr6/F33Ysf57QdZT4Va3Ej6MaY2VaxLliaiT82BXSHuiWUardq3RBaDXw57twYQ041uevBt/wxm9RAMzsXptx/kVfgL2VdItX/nwFF3MXtvbaWqB39tugb1l5ZSW1bWqzstNKrI2t8/eLS8+h0+JjpGar6N3Aia9fafhsMUsSSzf2ouHdo9jYtsMvdS+jGoxiZVoK3NlbcFuTStBuJjQZp7t9doUuoX2YtFo66aagvABF2V5GFf0ZfB49Lf97piJTz6PnOcGVJIl5O+cxou0IalhXh5u/Q62e+X8gDt+KY/Ta8wDsntL6iXM5hIoj/rCUv9jMWEyVplgYFjGn6hk87fX79tK3XIi9wI9dfnzuCr49SMnmtXWB3IxOA+CNttV5r7MXcvmzx6nVSgSGJfPrpSj+vPKAtBw1IGFgeQkT+8NgGI+R3JihtYYQUKM/dmt76yrwvnECbErQe67OA4VSV0Ez5pqux63TfDB3eOamyuszGJEagcfXHqi1agzkBtybcu+57cUdu3csQfFBHBtyDFOFMZxdBn4BYGiWv83P58L5YMdVAJaP8KVr3acMSS8jZfL63f5LNxy+2UTo+tmTt83Lgm/8QJMLUy6BsRVqjZZbMemcD00iMCyZC6HJxKQ9vo6uUiHD28mKRlUr0ci9En5VbbC3KLyQWpYqi7H7xpOSnUNd+fucuJ3Kg3+tzWuiVNCyhi1tvRxo62WPS6UihtaWQJ5ay/rTofx68Bh3cqzJQ0ktRwtm96xDyxolnwpVkf8DbyTe4JU/X8HGwIP7V8YActp42rNshC+mhk8YhJgSoeu9bf0u+Lyin2AkSVep+sinULkesyp/x8ZzkSjkMjaPb0Zj96KHIP947UeWXFjCUK+hzGw2E0mSWHJxCWuuraGeXT2Wd1peYBSNJEm8vvECe6/HYmduyL532mBj9gy9t2GnyN07E6MHF8lG4q5tW+ol/Y6B3ICoPhtxkCn+Tlyr6L4ri1eTQagY4jz0cU/L/164IlMvktC0UH5N+5ULRy7wc4+fMa+j67FGkiD5Pm29quHtZMn1B2l8dySE74b5VmzAgvAcUGvVvHv0XRKyE9jRe0eB4VplISU3hcDYQG4m3SwwZ6qiXY5IYez6QOLTc1EqZEzrbkvrWtoSJbcAcrmMJtVsaFLNhrm963D4Vjw7L0Vx6JaC9DQfDCyuorE7xLob69h04yf25WVi3+XjkiW3AAaPnIxd2waXf4Zbu6HDbN2w5edtaHhaNPt3jGGp1pBdksRh5M82Z60cpeamEhgbSCvnVpgih22j4cZOyEqEDrphqfcTMpn/+w0ABvm5VFhyW2Y8u4JjPQhcoyuo9KQLJ4khuuWF2swAY13BHwOFnLrOVtR1tmJ0y2pIkkRUSjYXwpIJDE0mMCyZ2zFpqDQSQREpBEWksOrEfQCq2pr+3cNrQyN33dzYI7fjOXI7jsDQ/uRpJG5oY/MPX83OjLZe9rTzcqBJNZti9QiXhKGBnLGtPejv68Li/bf56Ww4t2LSGL7qLJ3qVGZm99q425k9vaHnyM47vyFJMsJu9wTk9KhfhSWDfTA0KKInUZJ0F9WsXeGNk2Cgx6ruMhm0nQEWlcG6KrOr1uXKg3SuRKby5qaL/DmldZEXP0bVGcXxyONsvr0Zfxd/fCv7cjzyOA3sG7Cs47LHLub+cSWavdd176H5feoWP7nNiIedr0PIAQyQ8YNMzVwpm/mOfSDpd+QyObPCDj6Xf9cEQZ/EWIMyVM2qGj0tehKaFsqcU3P+WfB71yRY2Q5ZcihvttMNt9l9NZqQuCLWAhCEMpKZq0al0VZ0GAWsvLKSy/GX6eDWocyTW4De1XUXnn6/+3uZH6u4/rjygMErThOfnkslUyWbxjYjVLuTIX8M4X7q/VK3b2SgoGtdR5aP9OP8zI581r8BvnbtyLr/FtmRI8iMb02n5M/odqIG8/b9SdCDe6U7YIePYMhG3dys3dPgh/YQdaHUz6NU8rIg5Z/l6HJ/HsKYsHNMlAzYgxl/agy4fGktEakRFRhk4U5GnUQjaWhbuQlsHKBLbuv00a0TC6g0Wt7eEkS2SoOrjQkf9X583t8LTybTPV91Nlza+ORtq9SHKRd1hZeKbE6GSyVT+vg4s6BvXf56qzWXP+rM+jFNmNKhJi1r2GJqqEtMwxKz2HExig9/vUrnJcfo8OXR/HmweSojDOWm+Hva079NJB8MTuXwtLZ81Msbf0/7MktuH2VjZsjHPWpwscEuVtpuBWD/jVg6LTnKp7tvkpZTunWxy4tKoyXmfhcy7k1Em+vIK03c+Hpow6KT27wsWN8Hbv2pu63P5PZRfgFQvR1GBgpWdLOkq/EN4tJzmfLzpceGoD+kkCv4pNUnmCvNmXtqLgZyA1Z1XsWKTiseS24TM3L5aJdurd3u9RzpXq8YF6cenl+aWENyKJm1euAtz2I8WTx4pDhgniaPNUFrnsu/a4KgTyLBLWOtTVvTxb0L+8P2s/7G3wuw1+4DOamwdSRdPa2o4WCOJMGyI3ef3Jgg6FFUSjbNPjtI2/8d4WJ48tN3KAdBcUGsuLICr0pevOX7Vrkcs55dPdwt3dl9fzcqbcWe+EmSxDcH7zDpp0vkqrXUcDBn55stcbXPZc/9PTRxbEI1q2p6PaaVqZJXmrixdUJzTk1uwIIGPrjJ+5OCBTdjUtkauogR+/rhv+Z1Vpw8S3pJTo5lMt0cuDfPQcu3IPYarOqoK4hUXiRJN1T65FLdSfDn7rDrn6qqq03MGCXPowEZrCGP9ig4rTVm2f4Z5RdjMR2JOAJAm+PfQ9gJXbGXgWtAqZtf++2hEC5HpCCXwZLBPpgbvaSDtWr1hFc2695TRXlYKMfQrOCogmKwMFbi72nP1E6ebBrbjCsfdeaPya2Y26sOPetXoYrVP/OZna1NGNHMjdWjGhE0pxMrX63Prezf+O7qQnbf212SZ1c6BsZYZ96nU/afbOzvgLutKSqNxMpj92j3vyP8dDa8yGTseRCfkcL4DYHsuhyNNteZN9pW59N+dQtUki5Anacr5Hn/KISfKZ8gJYkqBybxvWwh/eTHOX0vkcX7bxe5uZO5Ex+3/JjPWn+GkcIIWxNbzJSP96jP2XWdpMw8Kpkqmd+n7pNjSImA3ybBzjd0txVKmHCMt03NuFfEr0qGjAXHFhT3WQrCC+kl/a/3/JDJZMxrMY/g5GCWXFiCt603jTw7Q9v34chnyHe/y8Q2HzL1lyvsDIri7Y41iy53Lwh6tO5UKGPVP0MGBCxP4e3uDRnd0r3C5qGm56Xz/vH3UcqVfO7/OYaKZzsZLSmZTEav6r345tI3nIo6RRvXNuVy3H/LUWl4f/sVdgY9AKB1TTu+G+6LpbGSL85/h1pSE+AdUHYBSBJOxz/glTv7GfrGSa7nOvDrxUh+vT2QbNO9JJud5Js7p1hywQd5Yn+UclMMDeQYKuQYGshRKmR/f//nPkPF37cN/vluqBiMU50meKad4fJFFUpFCNaaJNQm9hgqFY9sp2vPyEBBdKZEVp76yXPunuT+cdj+GmT8PWxUYQRVW+Sv1xuRGsFbYQfQSBqszK0Yl53OYk0eXTHgq5u/8Ebq57rKoxZOYGarn993Cak0Kk5EnaCezBj72JvQcZ4uwfv7c3sxPJlvD4cA8Ga7GjR6wrzAF55c/uQ1l5PuwbKWumHbzd4o9eEeHdYc0FJ3oSkqJZs8tRZ3W9N//e00YGWnlYzaM4oPT3yIiYEJ7dzalTqGYpPJoP1sZOt60ipqNfve+Z51p0L5+uAdEjPz+PDXq2w4E8acnnVoXr1i39P/lpqdR8+t4/6uExDA+93q8nqb6kXvoNXAjrFw9yA0HKmb618eZDLo/wPyDf1ZIi3DXpXCd4d74utWiQ61Kxe6S4eqHZ7Y5J5r0fx5JRqAub29sTMvohc6MwGOfwnnV+mWA3NvrUvyDQzB0IyjYUfRSJr8JatkyPJ/zl/eTRBeYiLBLQdmSjO+avsV4/ePJ1v9dxVT/+m6IXqXf6KPky9LbKoTkZTNimN3+bhvvSc3KAillJWnZsu5UN4hkwCDfQyWjvLp7mEEhvbj84ENsChiXb+ytPHmRqIyopjVdBbVrZ9wMlMGenr05JtL33A44nCFJLgJGbmMXx/IxfAUAF5tXpU5PetgoJCTlpfG9uDt1LCuQSvnVmUXxJUtcOsP8O6HzLYGdWUy6jpb8WGPOpy6O5gfAw9yPmUrSqtLqBWZpEYEUPJBQDKgOQTfwRAVfxm+TwJWzFKN4Y7kUugec8/txdpUiZOVCU7WJjhbG+NkbZL/5Wxtgr2JhCLyLNw9pPsasgkqVYVK7mBqC/UGQfX2uuT2kaIq84/OR4YMJzsnKplXIj0rnWtxYVwjDyVKPjk6j+Xhl3VrQrZ8S1fYyLBiLkRmqbPo7tEdT5PK4GsLdfvnP5aZq+adLUFotBL1XayY0qFmhcRY7mJvwIklurWXTR9J6A8uAFWWbq5uGXG2Lro4j4uFCz90/oHRe0bz7tF3+a7DdzR3al5msTymWmvwaAuXN2PY8m3G+dein68zi/cHs/lcODej03jlhzN08a7MzO51cLOtuIvrkiQRl55LSFwGH+7/kSzTW0iqJizs35ChTZ6wnrYkwe9T4MZvUKcv9Fqaf7GnXNh7wdj9SBsH8GHcz1SWpTB1i4I/prR55s6K5Mw8Zu28BkCnOpXp3cDp8Y00ajj2BZz+DvIyoEoD3QWc6h0KPO/gycEFdtu7dy+aOY9XDReEl5VIcMuJh7UHu/vv/qdXSi6H/ithZVsUJxbzZqudvL8rhK2BkUxuX7NClnIQ/jt2XnpAao6W/ylH079jR6wOL+Ab2becvn2IKUtfZ/qr/ahdpXyreo+tNxYXcxd6evQs1+OCbujY5h6bqWVTq9yPfTsmnTFrzxOVko1cBh/18mZUC/f8x7fe3kqWOovRdUeXXe96aiTsng7mlaHH4gInSgq5jNY17WldcyiZuQP44Nh8XEw98WvfBJVGS65ai0ojodJoyVNrH7nvn9t5ai15GqnAbZVGS55GizwvgztpDemc/Rd/GX3AVmUfVse2JE1rRJ5CSbbSiLy/h5amZKlIyVJx4++q0g+NUOyno/wiVvKbmMjyAEhXWPPnvmOoq/rjbG2CU/99OFkbF3rx5mjYUWRyGRYmFmi0GixMLahkXonUzFQ0koZDoUeh/edwcD4cWqDrNWn7AfgMB0U5/hu9+TtW6lxmNZtV6MML/rhBWGIWxko5S4b4lGjJmRdSzFW4ulVXEK3dB7r7Ii/A9R3g2Q3cy/DC0FN4WHmwotMKxuwdwztH3uGv/n/9sxRXeWg/B+61h8OfwJAN2Jkb8Wm/eoxsVpX5v9/g9L1E9l6P5fCteEa3cmdSuxpleoEzR6UhLDGLu/EZ3IvP4G585t8/Z5KRm4fCJBwT122gtuAT//cZ0PAJyS3AvSO6Odg1OkL/HyqmeJ2lE7LRu1FtGsprkX9xV+XExE0W/PJ682eacz3v9+skZORhZaLkk751C/97L1dA6Endsj3tZurm3j9n1f8F4XkgEtxy9DC5vZd6j+ORxxnlPUo3f8jIkn5mjiw5EkFsWi4/HLvHrJ7PTzVX4eUiSRJrT97DhjS6+dbFslV3aDiQe1tm0DRsG95Z79PmO0s+7NuIQY3KfomULFUWpkpTlHIlvaqXcq3CUvC2K/9CPIdvxTH550tk5KqxMDLgm2ENaetVsBps8yrNiagZQTf3JwzFLA2tFnZOhNxUGLCqYA/Yv5gZKfm60z9ztzRaDQq9nFB2gMhA5H+8w7CYHQyz3AO/JsONXCRgx4rVeM35lChLe5LsK2HSvAqxng3Yo/bjQUo2XXICaSq7QaDWi2Pa+hzX1ueG5IZ0SQ6XrhU4koWxgS7htTbB6e9e4P+1PkwVKxPkyiQqW5ry6p7hWDhZsLPPThxMH3k9avWEC2vh6Oe6XqPA1TDucPmcVJ/7AWn3e2gsnTGo1TN/vu1De6/HsPm8rnDMrB51qG5vXvYxPS/qDoAjn+mWSmo+EYwsYf8ckMmh49yKjo5aNrVY1nEZ0ZnR5ZvcArj4gVcPSI8GVU7++6Z2FUt+GteU/Tdi+WT3TcISs1hx9B7bL0TxXhdPBvq5Fj3f9SkkSSIxM497fyevd+MydElsQiYRSVkUOvVXlodZjcXIlSkAjPeax4CGxRiBUL0dDFoLNbs88xxrvTKphHLUb0T89SXbz9QjNyqVBX/c4JN+xRs9cOBGbP70lDk96+DwsJNDo4KL63Vziwet0yWzg9aAiU35XlwThBeM+HRUgC/Of8HJqJNUMatCZ/fOABgB7/nJmHFYw6az4UxsV+PZ1jwThGI6fS8RefxNzht9QKL5R0A9MLPFY8wqQq+MYtOfB0lONeS9bVcIux3EpEFdMTYsmyv6aq2a1w+8jpO5E5+2+jR/jlBFOR9znguxF3i9wetlehxJklhzMpSP/7yBVgJXGxN+HNWYmpUfX/fX286beXbzyi6Y0OO6kyffUeDZudi7JWQnMPngZEZ5j6Jrta6lj8OlEYw/AudXw4F54CyHG7ocxVV1h7rekdStHgNV5LqTPNl9JkycAkBefHXitBbIM2V4pmRjnpJN/ZQcHqRk539l5umG56XnqLkVk86tmHQAFKZ3kbRGaHN0Q6OVChmdG48hMPNbbifdLpjgGhhC0/HQYCic+kaX2D5MbrOSnnhxoMQkSddrfPxL7th58JqNCdPD9xe4GBSXnpO/3m37Wg4Mb/qUXq+XjcIA/KfBb2/CuZVQuZ6u+Jbvq+BQ/qMyCtPAvgEN7BsAkJKTQnJust4LxhWp/wowNH+sp08mk9HZ25E2XvasPRnKN4dCSMjIZcb2q6w/rZuf29Sj6Pm5Ko2W8KSsvxPYzL97ZHU/p2Y/qRidFivraCztbuBmXhP/Kl3xsDdnZ+Rx3Cs509OjO7Vtaz/5Od38Q5fcGpqBd79n+GWUIaUxrr1n8l6le3z85w0sAr9lt+PrdG/e8Im7pWap+PBX3ee3nZc9/X2ddRcer23T9bwnh4KZvW6kjbVridYSF4T/GpHgVoB5zecx+I/BzD45m5qVaur+yUWcY8D5YWSZdGZO9lDWnLzPu529KjpU4SW09mQovRWnUMgkHGo2KfCYe/3WvOXVnAfbr3D2yi3GB0/l7ufuVBr4FU61m+k9lh+u/sCluEt423pXeHILsC14G7vv76ZHtR64WpZN77VKo2XurutsOqtboqZR1UqsGOmH7b+KiWglLacenKKFU4uy/d14tIER28G16TPtptaqic2KZeaJmVQ2q0xDhyefxBWLXKFLIOv0gbD3wfAnqKGlSfz30NoIsiXIcYMhM3Qnt38ztK+GC1D47F3dBYW0bDVRKdlEp+oS3qiUHIKT7nBBtQFJa0RGyDS0WiUqjcSfZ2zo6fM/mlVpWXiDxpbQfuY/t3NS4dtGurm9HeaCXY3S/y5A13vz+1sQtAmc/TjSsDcp11djb2pf4LlN33aFpMw8bM0M+XxA/QorFFeh6g/R9ayf/k43EsG1GbT9sKKjeoxGq2H8/vEkZCewruu6Mvs7U4DRIxfOctML3ka3bNiENtXz18/dfD6C6w/SGLLyDN3rOdLIWOJCWHKBIcV34zMIT8xC/YRKzHIZuNmYUt3eHA97U4zMInigPkdQ0jHis2NJAZpVUTLh7wJSneosLt7zCfpJVzXYZzj0/f4Zfxll77VW1Ui5eZRpDzYTuecg9yptx6NWgyK3X/CnbpkhCyMDPu1fD1nwXt10iLjrYGQF7WdB0zd0y6wJglAsFX9G+R9U2awyi9osIkeTwzuH3yFLlQVVfJA51udVaRfd5GdZeyr0hVmrTnhxRCRlceBmDL3kp8kxcQS3xwuemBsZ8O0rDZnarS47ta2ppb5F5c1dCdvwhq6XSk+C4oJYcXkFnpU8edvvbb21WxoP18TddW9XmbSfmqUiYM25/OS2v68zm8Y1fSy5BTgWeYw3DrzBj9d+LJNY0KhBnav7uUbHx056n8bRzJHvOnyHQq5gyqEphKWF6S82i8owe76uF+O+hjuW3eCHDFiSDZP+At+RYFVUOvs4mUyGlamSOk6WdKhdmZHN3RnTxoYIo6+RK9Ss6raY4AW9Ofl+e8a20vWq/RGUzhsbLxCaEkVCdsKTD5CXpfss3fwdvmsCf0yFjLjS/AZ0Qo/rktuaXWDU7xyJPYeF0gK/yn75m2w8E8aR2/EALBxQH3uLMlr783mnUEKrd3TLAmWnwGt7wbIY64eWM4VcwZh6Y0jMSWTsvrHEZMaUz4G1GtjQH34a8s+aqf9ib2HEZ/3r88fkVjTz0I1G2H01hvnnNQxYdor3tl1h+dG77L8Ry734zPzk1sLIgAau1vT3dea9Ll4sH+HL/nf8uTG/C0fea8fqgMbU9rzNurD32B/1C4YKA0bXHc3mHpv5wv+LZ3seN3bpeuqt3HRzUJ9DMpmM8a+O4AvDN3EkEZstPcm6V/jSRYdvx7HtQiQAs3rWpoqVia5gVtI9aPk2vBUE/u+J5FYQnpFIcCtIY8fGvOX7FndT7zL39FwkhRIGr0Nras8iwxU45Iax4bQeTxgFAd3JcANCcJXHY9hgoK7YWSFkMhnD2tSn3riVjDZcxAXJk6p3fyJzcUPUl7eWOo6MvAzeP/4+BnIDPm/9OUaK5+OkvFmVZtib2PP73d/RSlq9th2akEm/ZSc5GZIIwHtdvPhyUAOMDAqfv7nm2hoM5Ab5SbfenfwKVraFlPASN1HbtjaL2iwiLS+NiQcmkpyjx/WUXV0hIAA0Su5ZdYIEAwgYrbu/lLJUWUw6OImYzBjmt5hPkypNMFDIcbY2YVbPOszoqhvWevBOMH129uWjk/ORikgKAF0iNXQTjNmrG2oduBqW+sDpUvYuVW8Pw7fB0J9I0GRzNeEqLZ1bopTrpgyExGXwye6bALzSxJVOdQpfmuQ/w2c4jD0I9QZWdCRP1NW9K3Obz+VB5gPG7RtHYnZi2R9UrgArZwg7qasw/gTeTlb8PK4Zy0f44mqjqxItk4FLJRPaeNozuqU7H/ety8/jmnHuww5cmduZ395syeLBPrzR1oPKDjHsCPuenju7Ep2hW/LG38WfMXXHsLnnZv7q/xdT/abibef9bKMNQg7CtjFgagev7tQ9n+eUpbGSXqPf503tuxhpc1Bs6IMUvBfQLUvm9a0XN2ND+XDHVerJ7rHBZg2DG/79+e34kS6x7TSvbKY9CMJ/gEhwK9Bo79G0d22PudIcjaQBSyfkg9digoqVysVsPn6drDx1RYcpvCSy8zRsPh9Bb8UpAOT1B/LxmY8Z9dco3j3yLnFZuh6njLwMzkaf5X7qfTyrGLL07Vf5ruo3vJ03kUwVfH/wFtGp2aWKZfGFxURlRPFuo3epUUlPwzn1QCFX0NOjJ1EZUVyKu6S3ds/cS6Tv9ye5F5+JsVLOsuG+vNmuRpEnd5fjL3Mx7iI9PXoWnAOqL9FX4MhCkLRgVrr2/V38+aDJB4Snh7P04lI9Bfi3OXN0vbig+z57dqmbVGvVTDs6jZtJN5noM7HQwmZvtK3OZ/3rIdNYk5tek2NRh/nl1h9Pb9ytmS7JHbJJV+VU8cjc9SclyI9KvAtbRkLO35Wia3YChQFHI44C0Na1LQB5ai1vb7lEjkq3BuusHqIwIQZGugsML4B+NfvxfpP3CU0LZfz+8aTmppb9Qf2ng8JQN6f7Ke9HmUxG17pVOPRuWxY0VXBjXldOzGjPujFN+KiXNyOaVaV5dVscLI2RyWQExQWx8NxCOm3rxKt/vcrGmxtRypU8yNQVTrIzseMdv3fwtn3GpPahyEDYMkI35/bVnWBbvkvJlUTtKpZ07DOK4XkfkqU1IPeXCZCbzvyj8wlODGbBhjXMyfqM341m0SrrALKwk7odLRx1X4IglJiYg1uBZDIZi9ouyr8aD4B7K7LbzaX64dn45Zzh53P1ea1VORWiEF5qO4OiSM1W4WiYisamBnEWldlyewuGckPytHnMbKYb7nU7+TZj943N38/UwBR7G3sSzG3pEPQlGXFGrPl+O2ObJtMsJRCHllOxt/XC2KD4S1uNrjsaKyMrhnoN1fvzLK1e1Xux5voafr/7e4GhoCW19XwEM3deRaWRqGxpxKpXG1PPxeqJ+6y9thaAAO+AUh//Mepc+HUCIEG/5Y9V4y2JobWGYqQwyi+apzcPe3EBRuun91Yuk1PDugY2xja8Xr/oYmKvNHHD2kTJW79koTW9x8dnPqGOtS91qzyl10gmg9o9wbMr8HcSkRwGPw+FNtN1a3V6ecHdu4/v6ySHocZgIgefYeD1T+XswNhAFDJF/lrISw8Gcy0qDYVcxpIhPpgZiX/nL5rhtYeTpcriWOSx8pk3be0KjcbA2eW6Na9rP71qvVIhx8FUholhwZEmWklLQnZC/gW4ZZeXcerBKVzMXXit7mt0du9MbZva+ntels7gUAe6LoTK5V/xvqQGNXLlQlgHBgaaYafOICAkisNB61indWJ4+lIUColwh/a4DfgEKouLVIKgL+I/YgV7mNzmafJYdnkZI2qPwNZ/MmujHdgZZMHpY3cZ0cytyGGMglAckiSx7lQoAMd8FtGtZ3WO39f1SH3a+lPau7bHQK77c+Bs7swHTT4gPjueuKw44rPiic+Ox8gsl+WvteWtzZdIUxxnecRfLAfYMwIAC0MLOrh1YEFL3TIyh8IPEZ0ZjYOpA/Ym9vnflQolrhauvOX7Vtk8WU/PgsnDDz+A4pHPT/XqEBxc5O41K9VkSsMptHBuUaowNFqJL/bcYsWxewDUdbZk1auNcbR6ckIZlhbGwfCD+Lv4U926DHopDn8KcTd0BXic9FAY6m/9av5TyfR20m28bPRUJG/OHDh0SC+9t5IkIZfJmdpoKlpJ+9ST7271qmBp0o7x2+8iOW5ixM732dLve7wcizFf+dElPOJuQEoE/BIAzo2gUx0IDQXVI3UWahjAIBOQASmtCiS3AJ+0+oRx9cZhZWTF+dAklh3Rvccnt69BQ7dyXnpG0Jtx9ccR4B2A8u/efq2kLduicq3f1S07c+gT8Or+TEtcaSUtl+IusS90HwfCDmBrYsvWXropK5MbTuYt37f0m9QCqPN01cstq8DYAy/kmq9ze3szICqVsw/SCNpyldFyK16VZXBC480K486se/0jXUUuQRD0RiS4z4nTD06z6uoqrsRfYUWnFXTr3pdPrx0mNS2NA4cP0aNTp4oOUXiBnbmXlL8sSkALdzA05XjUcRQyBc2dmuefXIGueNCw2sOKbOuPya2ZsDmL65HWeBtepYnxJdLlecSbKKiUl5O/3W8hv3Eo4vG5Xp+2+rRs17tt06Zg8iBJ/wxzVSqhbdunNjGu/rhShZCZq+btLUHsvxELQBfvyiwZ4oOp4dP/5JoamDK89nA6VS2Dz3zEeTi5VJfYtp6q//aBXXd3MfPETOY0n8Mgz0Glb9DVFRwdS917uzd0L/vD9vNxy48xNjAudhLRsoYdm16ZwKt/XkFjGsSgtZtY88oQ/Ko+Q1Lp1U03p+7oFxD4I9irYJAh7NNAghZ8lNDLGHIk2JoHx5c/1oRcJsfD2oP0HBXvbAlCK4GPqzWT2j0/Q/yFknn493fzrc0cjzrOV22/KvA3Wa/MHaDZRF0Ro9x0MLF+6i5pmjQ+O/sZB8IOEJetm8riZuFGS+eW+Wth17Wrq5fwIlIj6LihIwdGHsBVAtb10s1J9e73Qia3AMZKBcuG+9H966Nk5JqyiS+5Lo/mhLYGcQZv8Wn6a7halUM1bUH4DxFzcJ8TbVzbMMRrCOdizvHtpW+pbGnMYD9n1hl+TsuTY1AnlbwQjCCsOxWKEjU7rRbjlXgAAEO5IU0cm2BpaPlMbTlaGbNtbC/GNOzH5cQRbIr6hNpJbfghMpKpR1dCnK7ozYwmM/ixy48sbL2Qd/3eZWSdkXR171r2c83mzCl6fpkkFbsnME+Tx8XYi898+Acp2Qxcfjo/uZ3YtjrLhvsVK7kFsDe1Z0aTGfhW9n3mYz9VZW9o9gb0W1FwfqgetXJuhYu5C5+c+YQTUSfK5BjPKiguiA+Pf8iF2Auk5KY88/4+bpVY3fNTjJJHkpbiwohVZzkaHP9sjZjZQfcvYNI58O4PNRXgYKjrsW1kCGkSbFBB51GPJfM7Q3ZyMPwgkiQxd9cNIpOzMTVU8NUQHwwU4t/4y0CSJK4nXudY5DFmHJ+BWluG9Tfaz4JBa4pMblUaFSejTuYXiFLKlGwN3oqJ0oRx9cbxS69f+KPfH7zl+xaKZ+gBLo6H81O/OjgTNvSF5Pv/VHt/gbnZmlK9mq7+RRa2nNLWJUW5FkkRz4JjCyo4OkF4+Yge3OfI9MbTuZF4g9XXVlPfvj4T2jTj08DuLJMvJmn9MGwmHdQV0RCEZxCZnMW+GzG0lV/BJzcQku4D8GXbL59cGfYJlAo5H3avjV/VSkz75TIfZQ5kg7wVC+uE4mdfCxngpNHiZO9TZolUobRasFLAawNgza+Ql4exOhlMZKBRwqjHk4eizDwxk/1h+zkw6AB2JnbF2udCWDKvb7xAfHouSoWMz/rXZ6Bf8ZezuRx/mZrWNTFVmhZ7n2diaApdPyubtv9mY2zD9x2/Z8TuEbx75F3Wd1uvv+HKJRCWFsbkQ5NRyBV81+E7HM1KVrylsas7vwVMZuTqs9yLz2DsuvMsHuxDrwZOz9aQjYcuufB6FT7prJum+1OW7nJzjuKxCzBaScuSC0uwMbYhN7UO2y/qlhSZ07MO7nZmJXouwvNHJpMxt/lcslRZ7Avbx0enPmJBywVlM1z5YU+oRg3JoWBXgyxVFqcenOJg+EGORhwlXZXOJJ9JTGgwARO5Cb/3/R1nc+cynSsckRrB2strsZLg1Su/AnLovggaPH+1Gp5VRGoEuyMWYm4wHCv1IHLkV0lX/AkaiTVBa5jtP1v04gqCHolLv88RQ4Uhi9suxtrImpknZiIZJGDaoC/fq3tjk3IV6a8ZFR2i8ALaeCYcrQRDjc/p7qg7IP+x0p6sdPF25I/JrfB2siRE68jAa82YuOki6VnZ8NNQWOEP94+X6hgFaLUF1xeNOA+7JsP6PvB1Q/ikMiyuDQ1i8ocl10z9E94xh+4G8HrfYh+qY9WOaCQNu+/tfuq2sWk5TPvlMgOXnyI+PZdKpko2jW32TMltliqLNw++WaDAl96EHIDd03XrtZaDalbVWNpuKSqtiokHJ5bfWp//kpyTzMQDE0nLS2NRm0XUsS1dERdnaxO+HuGGXc1VaE2uM2XzJTacKeFybvXb6QpoGRpClgR5ykILaV1NuEpSThKNHFrx4a9XAehUpzJDGouT4ZeNQq5gYeuF+Lv4s+vuLj47+1mJL0I+lSTBup6wvjdrr/xAmy1teOfIO/xx7w/cLN2Y0nAK3ar9Mw/cxcKlzAthzT86Hyvk/IkpDZDzq1M9aFK66SLPi/lH5yNDRorBOqKN3iXOcC7IdK+tDJnoxRUEPRMJ7nPG0cyRz/0/x8HUAbVWzcR21flSM5jjmrrILqyBSxsrOkThBZKj0rD5fDjG5NJOdh5cGkOlqkw9MpV119fp5RhVbc3Y/kYLXmniBsBf12Lo/90J4l066pY8WddTt3ZhatTTG9Nq/5kvm5kIxxbBrimwvi987ft3AlsHtBrdNmlRuoIpkYFgYKxbN7TJeGgSkJ88xJnUhVgJGhjArld0a79e2gSqJy911Na1LRZKC3bd3VXkNtl5Gr4+eId2i46w7UIkkgQNXKzY+WZLmlR7tvULfw35ldTcVPpU7/NM+z1VdjL8NgmCfoKsBP22/QSNHBuxoOUCUnJSuJV0q9yO+6j5p+cTnh7OzKYz8Xfx10ub9uZmKE1isXT5DUmWxeyd1/j64J2SJSLFWAbpSMQRAC7cqEJKlgo7cyMW9q9XPlV3hXKnVCj5ss2XNHFswi/Bv+j9sxOfFc/W21uZeXIWUq2ekBaFY8xN6trV5f0m77NvwD4299zMuPrjcLN00+uxn+Rh762vRkNLDPiCXAbHnCUiNaLcYihLR8OOopE0yOVy1Io7yOQq5DI5cpkcjaThSOiRig5REF4qYojyc6iFUwu2996eX9W2az1n3royiT3K2dhfWIuswTCQi2sTwtP9FhRFSpaKvoZBKDXZUHcgURlR7A/bj7nSXG/HMVYq+Kx/PRpVrcTMnVe5k5hHq7NNWdypMz0efAPXtsPtPdDuA2gxWbfTte264dIp4f98pUbAmD3g7AeaXN16jQBKM6hUVZfAWruBOke3HmLNzjD9PphUerwAyZwOsHYtsaY+sC4Hzu+GiD/gylb4bSI41NIdpwhGCiO6VOvCtuBtj1UF1moldl1+wOd7bhGdqiusVdnSiOldatGvoTPyZ6yIqdaq2XBjA5WMKtGnhp4T3N3vQXo09PlO97srRz08euBX2a/Ew4JLa1rjafhW9mWw12C9tVnZrDLTG09nzqk5eHgd4t7NnizeH0xyVh6ze9R5ttf+4TJIq1YVuQzSkYgjmCqsuHhTV7n5fwPrY2supqq8zIwNjPm6/ddcTbhKbdvapW4vIj2CQ+GHOBB2gMvxl5GQUMqVvNlrO06nv6Nr0G90fesyGOnvf8Izib/NjwdnIZfJ2S/Lo4uUyT40GMoNWXBsASt7rayYuPQoeHLRlfsFQdA/kSU9px4mt8cij+HteZskLBmS/T7Hmq0Wya1QLJIkseZkKABjrS+BTA7e/TgRqSv883A9TX0a4OfCzjdb4mFnRq5ay5t/JTNd+T55Q7boqnemRv6z8b45ugT24jqIOAcKQ/BoB7K/i5aYO8L4I7oE9sMomHgahm2B7v/TJbegm1NqalN4dc1/r6Hq0wl6LYV3b0H/H/5Jbm/+DhsHwO2//ukZ/tvD3tTf7/6ef9+FsGT6LzvF21uCiE7NwVgp560ONTk8rS0D/FyeObkF2B+2n6iMKF6p/cozrSf8VNd/hau/gGc38Bmuv3afwcPkNjYzllVXV5XdkMtHPCyO42zuzMg6I/Xeft8afWnp3JJ4TtDOJxGANSdDefeXy6g02mdrbM4c3dJWhfTeRqRFEJISQnqSJyBnZLOqtKvloIdnIDzvzJRmNKvSDIDE7ET+vPdnsfeVJIk8TR6gK5Y3YNcAFgUu4nbybTpV7cQX/l9wbMgxnKyrQZv3dCM7zi4rk+fxRLkZsH8O0rIW9Lq1hzy1LuZ9/2/vvsOjqrYGDv+mpFdIhRQghBCSkIROQDoooICAeAUUiFj4uDa416telCLXiiJFsSDSBAVBpUiRTugohE6oIZ0SUkhPZs73x0Ag1IRMykzW+zx5SOacs/ea2UmYlX32XiodqAyxz42eazazuEKIyiMzuNVYoa6Qj/d9TEp2Cm0C32bvyTpM355Ax2BfVLFRUK99mWrYiZpl3/mbpYEsn5wO+cfAwaO4PFDbum0rpN9AT0dWvvoIby0/zB+Hk1n6VwJHEh35+h+bqF/rlpmn/l+DpT0417t7kqpWl79O691qqFo7QegtM3oXj8PZLYZ1qk6+0HIENBsG9m6EuYXRxrMN7rbuJKTl8Mm6GFYdSiq+dEAzL97s2Zg6TjYPHaKiKMw9OhdrjTXPNDbiZirXUmD1WLB1gb4zqrzExoyDM1h5diVqlZrnQ56vsH6WnFzClL+m8GW3L4sTBGO7sSHQkyueJE4zn8gOnzI3KoXfDiaSkVvIV0OaY2NZyt/NPj4QE3PXQwoaHPIe5WJ6Pfzc7Phv7/LP5gnTM3H3RLbGb6VAV1Ci3vSt9IqeI1eOsOnCJjbFbaJbvW6MbTEWS40lY1uMxdPOk7Z12t75B7RmzxlKh+2cCa1eMNwNU9EUBU6shHX/hcwE4myceTU/xbDh2m1urE81h1lcIUTlkanAauzGWhwVKi5af4dKk82BuHRObVloqA239eOqDlFUY/N2xQLQpkFtAvz8oEkf8nX57EvZR7h7eJnLA5WFvZWWLwc3Y1LfYCw0Kk4kZ9Ln679Yd/razZMadASv5mDnUnHJV2lqqHZ+C944Ap3eMtwWvel9+CIIji5HpVIxrfM3XExoTbfPtxUnty3r1eL3f7Zn6j/Cy5XcAugUHU/4PcELTV+glrUR31zmZYK9BzzxhWH2vIq93fpt/J39+eLvL1gXu65C+tgWv40P932Ih60HjWtV7M7Nnnae/Lvlv2nl2Yo3uvvzdq9AADafvMSwH/aSkVtY7j4W7cwg6XxXVHn+TPtHeOmTZmFWxrUZh5e9FxN3T7zjZ+d02mk+2PMBPX7pwbNrnmXusbnk6fJwsHAoPueZwGfo7NP57neHaCyg23hoGWm4y6ei6XWw+GlYOsxQh7f3ZzxmY8keiorXpN76IetThRAPQ2Zwq7kmLk14t+27jN81Hk//5STHPMtHZ+szr044bP/UkCA07vXAdkTNkpiey5/X67C+43sM0r3B2Ye/U/4mtyi3Qm5Pvp1KpWJ4u/qEejvxyuKDJKbnMurHAzzTyodBLX1o5uP8ULfzVggnL+jyX+jwbzi5Gv76AV3dlizbH8fX6w/SJjcKta4VXs5uvNM7kMeb1jHaJj9atZZhwcOM0lYJbgEwKqpyyzTdh4OlA7O6zWLImiGMixqHh60HzdzLOUN/i2Opx3hz+5s4WjrydfevjfvHgnsY2GggTwU8BcCoTk7UsrXgnV+PsD82jWe+28P851vh7vBwt5xHnUniu6gYwII3ujci1NvZeIELk+Jp58nsHrMZvm4472x/h4vZF3ku6DnUKjVJWUn8HPMzvg6+PB/yPN18uxHiGlK28kIhA0vsrl+h1BqoVR/ChkCPSWDvzkkz2SlZCFF9yAyuCejfqD8DGw0kS30cS9eNbD17jaMdvjTcSvTry4adaoW4xY97LqDTKwQ75hG2703DRkNAqFson3f6nJ71e1ZaLM18a7H61Ufo3NgNgJ/3xzPw6120+3gzE1ceY++5VHT6il+XWSpaSwgZwK4O8+izMI63lh+hQ+5m/F2X4BLwPquDV/FE3WyjJbfJWcnGL6GTFgun/jR8Xk2S2xvq2Nfhq25foVFreG3za8RnGmdtXVJWEq9segWdXsfMrjMrbffXG98HhfpC5h+bz+NhtZk1tAWWGjUnkjMZ9M1u4q+WvTRTRm4h/1r9I3aN3qdJgyT+r7O/sUMXJsbH0YfZj87GwdKBz/76jMOXDwPQtm5bfu37K6v7r2ZMizGEuoU+fO3cvAw4vcGIUV8XsxbmPXGzTFnPTwxLVKrBnSVCCPMkCa6JeKfNO4S6huLtZPgPYdr+PBg4B/IzYcmzUJBdxRGK6iKvUMfP++IAeKteDCpFD00Ns0z2lvY8Wv9RvB1KX5/VGGrZWfLD8FZM7hdMqLcTACmZeczbFcs/vttDmw83Me63I+w4fYWism7SY0SxV7J5acFfDJm9l+PJmahUoA4fjG1AfzI0arbELIEvW8L8voZ1u2DYIEijufdHQMA9+5t5cCa9fu1FUlbSPc8pE70efh8NiwfB5buv66xqQS5BTOk4hebuzXGxcTFKm9sStpGam8qHHT4k3D3cKG2WxZ+xf/LZX5/xxd9f0DPEk3mRrbCz1HAhNYeBX+/iZEpmmdqbsOIomepDqNSFfNynJ5rqcqeDqFINnRsyr+c8xrUZV/w73EpjRaNajYzzR7elw+HnIZBupE2d0mIN9dB/egaSoiHFkJTLRplCiIpmlN8y69ato2XLloSGhtK2bVsOHToEQJs2bQgPDyc8PJyQkBBUKhWHDx++axsqlYqmTZsWnx8VFWWM0MyGlcaKBb0W8F4Hw608G09c4rhtK4i2g8Rj0Ni5zG+uhXlaGZ1EWk4hVlo17XK2gNYGAnpyNe8qJ6+erJRdbO9GrVbxXER9Vr7yCFH/6cK7jzehua8zAFey8lm0N45n5+yl1Qcb+c+yQ2yJuURBUeUkuxm5hfxv9XF6fLGt+Nbudg1d+OPVDkwa1Ja+PT7AUm3JSv+2EDwALuyEK9fLPnTqBLaamzV8b/3QaKBz57v2mZKdwtrza2nm3oy69nWN80T2zDLE1upFcKvYNajl0cmnE9O6TMPWwhYwbJBTHoMDB7O873Ieq/+YMcIrs14NetHKsxVLTy1lb/Je2vm78tNLbaltZ8mla/k8/c1u/r5wtVRtrTyUxO/RcWjtY/CyaUxY3fusHxc1jp+zH88EPoOrjavxG2/3CugKDMufyqMwD7Z9Cl+1gVNrIeQpeGU/+FbMpm9CCHG7cie4aWlpDB06lPnz53P48GGmTJnC0KGGchR79+4lOjqa6OhoJk6cSEhICKGhofdsKyoqqvj8Dh06lDc0s6NRa+jc2I1ALxVWHiuYueU4uPWC7/MhtqhMb65NkaIo7EjcUVz+QNxJUZTizaVGBGnRJu4zrNG2smd97HoGrRrElvgtVRsk4FPblhc6+PHr6PbseacbE/sE0aZBbVQqSMspZOlfCUTO3U+L/21g7JJo/jyWQl6h7sENl1GRTs+C3bF0nrKF73ecp1Cn0MDVjtnDWrLohTYE1TVsxOVg6UBX3678nXGahJ6TYcxxCB9iaGTsi/CaNQy0Ad/bNgFSlLuWfwH48fiPFClFRAZHGufJXDph2CCrtp9hbVs1p1KpUBSFWdGzeGv7W2VOchVF4eeTP5NblAtAo1qNKiLMUlGr1ExqNwkbrQ0Tdk0gpzCHUG9nlr4cQV0nazLzihj6/V62xly6bztJ6bm8+9sRNLbnUWny6d+4RyU9AyGAht3Atx0cXFS+pU9/z4MtHxjqbg9bCU/NAcc6RgtTCCEepNwJ7tmzZ3FxcSE4OBiADh06EBcXx4EDB0qcN2fOHEaOHFne7mo8lUpFaOBpLGvvZsuV7zj76ltw9fobQ0cV1LllSO/z5toU/XLqF/5v4//x7eFvqzqUamt/bBrHkw23Qz5f66Dhweubh+xI3IFWpaW1Z+uqCu+uPJ2sGdG+AUtejmDff7vzQf8QHvF3RaNWcS2viF8PJvLSwr9pMXkDryw+wJojyeQUFJW73y0xl+g5PYrxK46RllOIo7WW954IYv0bHekR5HHHLX99GvYBYPW51eDgAVbXdymtbQ86DwixgEg7eN0ehthCZxtD/V0fH8hONewYel1mQSa/nPoFf2d/42z4pSuE314GfSH0//ZmneBqTkHhTPoZ1sWuY8aBGWW69pvD3/DB3g/4OroK6nfehY+DD683f53ErESmH5gOgL+7Pcv+rx0N3ezIK9Tzwvy/WBGdeNfr9XqFfy09RGZeEQ61DXcHdPHtUmnxC4FKBd3eA0UHWz4s27UZCYbfc2DYkbn3ZzBqJ/h1Mn6cQgjxACqlnPcrZmRk4Ofnx6pVq2jXrh0rV66kX79+LF++nAEDBgAQHx9P48aNiYuLw9X17rfVqFQqmjdvTlFREd26dWPy5MnY2d35Jm3q1KlMnTq1+Ov09HSWL19enqdQofLy8rC2frhdNO+lSK9j3IU56GxO4ZX9FGNqN0aVnckjSR+hUQo479iVi7Zh5Dl6Q61KqGlXCXL1uXx8+WOylWxsVba86/4ulirLSum7Isawonx3VMfflxUaOcEnDQ7hdXEThwLGUKCC8RfH42Phw2iX0VUdZqlkFSocuqJw4JLCiTQF3S2/qSzUEOKiormbiqYuKmy0915/dvv4JWUr/HJGz/GrhgbVKuhUV8UTDdTYW9y7HZ2iY/LlydSzqEdkrdtmXXU67OIP4XNtJy55p7DRpXLVqhEHQseDRkPQ2W/xubSJfK0judYezHW04QerdCItOxJcu6+hDUUpXbmklBTQlZzNds4/T8uLs7jg2JnTLn0NpZFMRKFSyDdXv+FC4QWecnyKtrZ33sZ4+xj+lfsXP2f8jJfWi9G1R2OltrrjmqqgV/TMujqLTH0m/3L5V3FcWQUKMw/riL0GKuCZADWdvUr+fXlDnJ5lZw1/rGwcNIdc9RX+6/pfo21oVpVM6XeogOYnPsQ1/RC7QqeQZed73/FT6Yuon7wav4TlpLi045j//1VytKI05GfQtMn43WnkyJEkJCTc83i5E1yALVu2MHHiRLKysoiIiGDLli189NFH9O1reOM2efJkjhw5wtKlS+/ZRlxcHL6+vmRnZzNq1CgcHByYNWvWA/v29va+7xOsauvXr+exx4y/LmzhvmN8fHgUKk0WX4Z8Sud2vcEfeNIGrK6/IXINgfBB0PolsLQ1egyVKacwh++PfM+RK0fYk7yH99q+x9ONn66UvitqDI0tKT2XDp9uQadXmDW0Ob2b3rwlbGfiTkZtHMWYFmN4PuT5Kozy4WTkFrL55EXWHElh26nLJdbmWmrUdAxwpWdIHXo08cDJtuTOwTfG72p2AV9sOMXifXHFuzZ3aezGuMeb4O/uQGlcyb2Ci7XL3ZOOF1+EBQugoAAsLWHEEPh2ruHYoZ/h7GbDpitXzxOlz2Spgz1Tg17AovM7hnO+6wIFWVCrgaGMRq36ULsB+LQB29ol+5k/Hwpvq7PqqoYsDTw3Ar77rlTPp7pIzU1l6JqhpGSn8GW3L++Y1b71Z3Bv8l5GbRiFq60ri3svxs3WrSpCvqeU7BQcLB2wsyj5B9qs/CJeXvgXO88YZrnGdA/gtW7+qFSGOtH9vtxJgU7PiHb1mdg3mPS8dJytnavgGRifqfwOFdclH4KEv6DZc6C1vPf4nd8Of/wbrsQYlkb0mgKNuld+vOKB5GfQtMn43elB+Z9R6uB26dKFLl0Mt1Ll5+fj6elJUFAQYFgnNXfuXL7++v63kfn6Gso62NnZMXr0aF566SVjhGa2Brdowqwdz3Ot1nTeOvERf458Fqe5i+Gza9DYGno3gmtxsGsmtHvVcNHVc4ZZIpeGVRv8Q7C1sOW15q+RU5hD92Xd2Zu8t9ISXFOxaK+hNFAdJ2sebWhT4tiOxB0AlVL/tiI42VjQv5k3/Zt5k5VfxJaTl1h3NIXNJy+RW6hj44lLbDxxCa1aRTt/V3qFePJokAcu9lYU6hVmbz/HjM2nuZZnuLU5wMOedx8PomNA2ZKj+27sMn48zJtn+Fyvh3ffv3ks7BnDx3UdCrLpkHYBrJ1unuPsAxePw7ktho1ebnjud2jYBfKz4MeB0MkdzmogFbimhzQ9pCtwRQ9atUkuS3CxcWFW91k8t+Y5xu0Yx9oBa4s3oLrVmbQzjNkyBmutNbO6zap2yS0YapbekJKdUvy1vZWWH0a04vWfoll3LIUvNp4iLaeAt3oG8sbP0RTo9DRyt+ftXoEAZpPcChNUJ8zwAcRnxJOSlUJ8Rjw+Ttc3PMvPglWvw9FloLWGLuOg3WtgITNMQojqwSgJbnJyMnXqGGaLJk+eTNeuXfH3N9Tt27x5M0VFRfToce/NMtLS0rCyssLW1ha9Xs+SJUto1qyZMUIzW1qNmlfad2XilvMojse4/MobOM35EYqAmCJY+wfUcTdsFKG+vvHNjmlwYD54hEBQP8NHNd5p9Yblp5bTvV53nKycsLWwZekTS/Gy96rqsKqVvEIdP+0zlHZ4to0v2h96GDb4eNZw+75WrSWgVgCNnKtuIx5jsbfS0iesLn3C6pJboGPbqcusPZrMphOXyMovYvupy2w/dZlxvx2hTQMXziTruJx7AoDadpaM7RHAM6180GoebguCXUm7WH5qOR92+BArzS23xvr4wIgR8P33N9fe3kav6DmVdorA2oHgEVTy4NMLrp+kg2vJxbO9eDY1PJ51EVLPQM4e6HjL7fk5evghB65pYfjwu/ZrCvyc/JjeZTpatfauyS0Yylz5OPowpsWYKt1UqjSWxizlo70fMbfn3OLSRVZaDV8Nbc64347w8/545u2KZeOJiySk5WKhUTHtmXC+PjyDIJegKtsRWohiV8+zZ/kwipxHMHn7ZL7rc/3OEAtbSI+DgJ7Q6xPD3SZCCFGNGKVM0Pjx4wkMDMTf358LFy4wZ86c4mNz5swhMjIS9W11z7755hvGjx8PwMmTJ2nbti1hYWE0bdqU1NRUpk2bZozQzNpTLbyppe9AdtwIllywMLy5hptvrrVWJd9EN30Kmj0LmYmGHQ6/am3Yxv/0xiqJvzR2Je1i4u6JTP375rprbwdvs1iXZkyrDiVxNbsAS62aZ+tnGkrY1GpQfPxfLf/Fsj7LzO51s7HU0DPEk+nPNOPv97ozZ3hLnmrhjZONBXoFdp9L5XIuWGhUvNzRj61vdubZtvUeOrkFOJ12mj8v/Mm2+G13Hhw/3lCa6x6zqFEJUQxaNYglJ5fcuwO1Bpy8of4j0Pw5sLs+a+zSEP5zFt6OhyeXwbJ8+DMPdhYYNprT601y9vZWLT1bFieDKdkpZBca6nvfWEnjaefJT4//RNs61b/cSEvPlqhVat7b+R55RXnFj2vUKj4a0JT/62y4kyYhzbAL9L8ebYy7cwE/HP2BTRc2VUnMQtwqe+MEBiUexjP7DKcOzufailcMd4Gp1fDcrzBkiSS3QohqySgzuLNnz77nscWLF9/18VGjRhV/HhERcc/6uOLerLQaXu7oz+TVx1m09wK1hjYhPL4x7e71JrdBR8PHE9MgNgqOr4ATq27uuFpUAFGfQ5MnDLO8VZwMFemLmLJ/ClYaK0aFjipx7OTVk0z7expjWoyhce3qPwtdkW4tDdQvrC5OZ69vutb0qRLnmVtyezsrrYZuTTzo1sSDQp2e3WdTWX8shcSEeCYN6UQ9F+PsLNy7QW+m/j2VVWdX8Wj9R0se9PGBmJh7Xjv32Fy0ai2dfTo/fADWjhDeAyKeK7nm14Rnb293KecSQ/4YQkDtAGZ0mcHC9IVwHno26IlaZZS/y1Y4Pyc/RoePZtqBacw6NIuxLcYWH1OpVLzVM5BathZ8si6Gjo1cebGDH7+dMfzsluv7Qwgj+Z+qkPdR6Bo/n8f11hRGLzLciuwWcHMXeSGEqIZM452CuKfBrX2obWdJrj6N7+OW8NYINy7WfsDuwhoLaNgV+kyHf50ybGIDhg0jtn0M3zwCM5vDxomQFG34i+0NAQGG+rr3+ggIMNpz++XUL5xJP8OI4BHUsS9ZQ0+n17EzaScLji8wWn+m6u8LaRxLMpQGGh7hC0d/BScf8DaUA5q8ezKf7f8MI+wnZzIsNGo6BrjxQf+mDA7QGC25BXCzdSOibgQ7EneQmpta6usOXz7M3xf/5vEGj+Nh51H+QMaPN8zaglnM3t7KzcaNR7weYWfiTp5c8SSH8w8TlRhV1WGV2fDg4YS4hDD/2HyOXD5yx/GXOjbkwHs9+GFEKzRqFVvjt6JVaWnv1b7ygxXiFvEZ8Xx2chnfUYiNLpt1FBGqyibe0ubBFwshRBWTBNfE2VpqGflIA5QiJwpTBpGen86E3RNKn8xotIbbjcCwkc2INdD6ZSjMhR1fwHedYH6fm+d36mRIZPX6Oz80Gujc2SjPKyM/g6+iv8Ldxv2uu/4GuwbT3L05a86v4XLOZaP0aarmXp+9bVW/FiH6U5ARD8H9Qa0mryiPFWdXcPLqSbOfwa1Mff36UqQUsS52XamvmXdsHgAjgkcYJ4gba37hnmt+TZVKpeK9iPdoW6ct8dfiaWjZkIkRE6s6rDLTqrW83/591Co1E3ZPQK/o7zjHycYClUpFTmEOe5L30MKjBU5WTndpTYjK8/42w/ftG+Txm9+/6EUO59QqJm+fXNWhCSHEA0mCawaei6iHg7WWa1ebEGDXhZ2JO1l++iFqA6s1UL899P4UxhyH5/+Etv8E/243z3nMBrppwVtz5/WKYrRZpF9O/UJGfgZvtHjjnhvODAseRpG+iJ9jfjZKn6YoOSOXdUdTABjRrgFcOg4ay+Lbk/en7Cdfl2+yuydXV118u2BnYcfKsytLdf6FzAtsvLCRDl4d8K/lb7xAHrDm15RZqC2Y1mUaEyImMMJ5BBYaiwdfVA01qtWId9u8y4SICfe9vXpP8h7ydflye7KocvEZ8cw7NI8CXQFFKrhq4wUqKNAVMDd6LvEZ8VUdohBC3JdR1uCKquVobcGIdvWZufkM5052p7b/UT7dP4W2ddri7eD9cI2q1eDbxvBxg6LApb+gjYXhI1MPxwthWz7ojbsGcETwCLztve9c43iLzt6d8XHwYWnMUl5o+gI22pp369SiPYaarp6O1jwa7AGaSAgZAFaOwM3yQB28O1RlmGbHRmvDh498WKZdqbvX687gwMHGDeQBa35NnZ2FHU8FPMX68+urOpRyGRgw8IHnBNYO5PXmr9PVt2slRCTEvb2/7X1U3P2OHxWqkjsqCyFENSQJrpmIbN+A76POk5YFmaf7YF33F7pOX0FtdSCuDpa42Fnham+Fq4MlrnbX/7W3MjzuYEltW8sH7yyrUsH/7YSD6+DtgRCogbZW0FALC/ONOoukVWvp2aDnfc/RqDUMbTKUj/d9zP6U/XT07mi0/k2BoTRQHADPtvXF4sb43VJbdUfiDurY1cHPya8qQjRrZUlE6jnWY2rnqQ8+UZi1Pcl7WHR8EVM7T71jRrqufV1eaPpCFUUmxE3bLmxDp+iK7zhQoSr+XKfo2Bq7tQqjE0KIB5ME10zUtrPkX48G8Om6GAqyA8g+8yYolqSQR0pm3gOvV6mglq0lrvbXk2EHK1ztDUnwjX9dbnze9FGs6w2FbxdAc8DHAp4ZYZTZ2x2JO/j19K/8p9V/8LTzfOD5/f37065uOxo4NXjgueZm9eFkUq+XBhrc2he2fmw40PFNUGu4kHmBuGtxPB3wtKy/rSCZBZlsjttMH78+aNR3uW0fOJdxjnoO9e55XNQcBy4eYGvCVmYfmc3o8NHFj1/Nu4pWrcXR0rEKoxPC4NSrp0p8vX79enTjdVUUjRBClJ0kuGbkhQ5+PN++ARm5hVzJyudyVj5HL58gO09DUX5tUrMKrj9eQGpWPley8skrNGx6oihwNbuAq9kFQNYD+7L3HIDriNZ4Zl7hucNr6b32PVR6vaH+qnvgQ8VfqC9kyv4pJGUl8Z9W/ynVNbYWtjUyuVUUhfnXN5fqE1oXF2tgzyxw9oXObwNQx64O33b/Fldb16oL1MwtOLaAbw9/i4etBxF1I+44nlOYw/C1wwl2CeabHt9UQYSiOnmx6YtsitvE7MOz6ebbrbjE2cLjC5l3dB7L+i6joXPDKo5SCCGEMG2S4JoZtVpFLTtLatlZ4mifw6u73iDIJYh5PefdMYOkKArZBbriZPfytQJSs/O5cs2QCN/6+ZWsfDLzioqvzSrUk1WrLrG16rKnXigdNiQz0302ztHfwsDvIahvmWNfGrOUcxnnGB02ulSzt7dacWYFR64c4d2275a5X1N0IC6NI4kZAIxoVx/ObIK8DAi5WfvWUmNJO692VRRhzdCnYR++Pfwtq86uumuC+/uZ30nPT6eTT6cqiE5UNxYaCya3n8yQP4bw3s73WPT4IizUFmyN34qTlVON/GOdEEIIYWyS4JoxDzsPnm78ND+e+JGFxxcyImREieMqlQp7Ky32VtpS1QnNL9KRmlVwcyY4LpmtC1ezxiucqNNXGHGuDots7bBdOgxV7ynQ+sVSx5qel86s6Fl42HrcEWdp7EzaydrzaxkUMKh4VsSczdt1AYAW9WrR1NsJli0zHAgxbGaTV5TH0StHCXMPw0JtmrvPmoJ6jvUIcwtjY9xGxhWOw87i5s9Rkb6IBccX4GzlzJP+T1ZdkKJaCXIJ4vmQ55l9ZDY/HPmB3g16cyb9DAMbDbzvLstCCCGEKB3539TMvd78deo71mfmwZmcTT9brrastBrqOtvQ1NuJLoHuPP1oGLMWjmP+862p72JLtK4ePbPeI0FVB9b8GzZNNtz7XAqzDs0isyCTMS3GPNRuyMODhgOGW/3M3cXMPNYeSQauz94WZEPMWvBpC86GddD7UvYRuT6Sn0/W3BJKlaVvw77kFuWy8cLGEo9vjNtIYlYigwMH18gdvsW9jQobRZPaTdCoNWxN2Aog5YGEEEIII5EE18xZa6353yP/o0gpYtyOcRTqC43eR6cAN9a90ZEx3QO4qKlDv9zxROv9IOozsla9/cDr9YqexKxEQt1C6d2g90PFEOwaTHP35qw5v4YruVceqg1TsWjPBYr0Ch6OVvQM8TQkt4U5xbO3AFEJUQC0r9u+qsKsMR6r/xgWagtWnV1V/JiiKMw9OhdrjTXPBD5ThdGJ6shSY8nixxfzQtMX2Bq/FWuNNW3qtHngdUIIIYR4MElwa4AwtzAigyM5lnqM3Um7K6QPawsNr3dvxIYxHWka0JAhBe/yh641kX/58t32sxTq9Pe8Vq1S82XXL/mm+zfl2u13WNAwCvWFZj1rmV+kY/GN0kBt6hlKAzXuBU/9YKh/iyG52pG4Ay97L1nTVwmcrJwYHjycLr5dUK7fsVCoL6SlR0uGNBlCbevaVRyhqI60ai1F+iLydHlE1I2QWX4hhBDCSGQNbg0xOnw0j3g9QkvPlhXaTz0XO+ZFtmL9MR8mrXImOSOP/WtOcmBfFC89/gjNm/iXOP9SziXcbNxQqVQ4WDqUq+/OPp3xtvdm5dmVjA4fbZbr2f44nMyVrAIsNWoGt/E1PGhpV2L29kLmBRKyEvhH439IeaBK8nrz10t8bamx5M1Wb1ZRNMJUaNVaFvVeVCF31gghhBA1lfllAOKuLDWWxcltXlEeBbqCCutLpVLRM6QOG8d24qWOfrios/jg2rs4/fQE//txHalZ+QAU6goZuX4kL254sXjmqzw0ag1TOk1h6RNLzTK5VRSFeddLAz0RVgdXeytI/BuSD5dY6xyVaLg9+RGvR6oizBrtSu4VruReIacwp6pDESZENoITQgghjMf8sgBxX0lZSQxaNYhvDlV8TU47Ky3/7d2ERa/14nfHoTRQpfDS6ZcZ9dl8Fu29wE8nfyI2M5aWHi2NNtMY4hqCs7WzUdqqbg7Gp3M44ZbSQAAbJ8H33SA/s/g8tUqNj4MPrT1bV0GUNdfPJ3+m2y/dGL1xND2W9TD7teBCCCGEENWRJLg1jJutG7YWtsw5OofDlw9XSp+Bno48P/Zj9rb4DGdVFnOU8fy+ej6f7/8KV2sPRgSPMGp/GfkZfB39NXuT9xq13ao2//rsbXNfZ0K9neHaRYiNAv8eYO1UfN7QJkNZM2ANtha2VRNoDdXUrSl6Rc+JqycIqBWAq41rVYckhBBCCFHjSIJbw1ioLfig/QdoVBrG7RhHXlFepfSrUqmI6PsCBc8sw1KjpqnbPPSqHBLOduXjNWfJzDPeGrTcoly+Pfwt3x/53mhtVrVLmXn8cdhQGmj4jdnb47+DooemA+95nag8QbWDaOjUEIDIkMgqjkYIIYQQomaSBLcG8q/lzyvNXiE2M5aZB2dWat/2gV2IHzyH5U52WBX5UZgZyrxdsXT9bBsrohONshbX086TR+s9yp7kPZxKO2WEqKveor1xFOkV3B2s6BVSx/Dg0eVgYQsBPYvP+yr6q0r9w4W4SaVS8WarN4kMjpT1z0IIIYQQVUQS3BpqeNBwwtzCWHh8IdGXoiu171rerXiy0QB+6PsB7/dpwmCrXVzJyuP1n6MZMnsvZy5llbuP54KeA2Dh8YXlbquqFRTpWbTXUBpoaJt6WGrVkB4H8XuhcW/DLsoYNqFadXYVf1/8GyuNVVWGXGO192rP2JZjzXKTMyGEEEIIUyDvwmoojVrD/9r/j8iQSJq4NKnUvl1tXJnUbhKhbiEMU6/jI9WXLHVfgJYidp9Lpdf07UxZf5LcAt1D99HUrSnN3Jvxx7k/TH6znzVHkrmSlY+FRsWQG6WBdIUQ8hSEDS4+73zmeRKzEung1UHKAwkhhBBCiBpJEtwarL5Tfca0GFNps32FukJ+OvlTyRJFLSIhoCetM9ezv8FsglzVFOoUvtpylu5Tt7Hx+MWH7m9Y0DAK9YX8dvq3h24jPiOelKwU4jPiH7qN8pp7ozRQaF3cHK6PlUtDeGoONOpefN6OhB0AdPDuUNkhCiGEEEIIUS1IgivILsxm0u5J7EraVaH9LD65mA/3fsgvp365+aClLfxjETQfRq3kKFY7fML4Lm5YW6hJTM/lhQV/8cL8v4i/Wva6ol18ujCl45Ry7dL8/rb3KdIXMXn75IduozwOxqVxKD4duKU0UGFeibq3N0QlRmGptqSVZ6vKC1AIIYQQQohqRBJcQXp+OmvOrWH8zvFcK7hWIX2k5qbyzaFv8LL34qmAp0oe1Gihzwzo9Bbq5IM8nzSRDW90pHsTdwA2nrhIjy+28dWWMxQU6Uvdp0atoWeDnlhoLB4q5viMeOYdmgfA3Oi5VTKLe6M0ULiPM2E+zoYHd0yFaaFw9XzxeTmFOfx98W9aebbCRmtT6XEKIYQQQghRHUiCK/Cy9+Lfrf7NxZyLfLr/0wrp48voL8kqzGJsi7F3vyVapYIu/4U+06HXJ/i42PH98FbMHtYSL2cb8gr1TFkfQ6/p29l+6nKZ+j6TdoYZB2aUeYfm97e9TwQabAozUavUlT6Le+laHn8cMZQGKp69VRQ4sgyK8sDZt/hcK40Vc3vOZVTYqEqNUQghhBBCiOpEElwBwFONnqJ93fb8fuZ3tsVvM2rbMVdj+PX0r7TwaEGPej3uf3KLEeDZ1PB53B56WB5lw9iOjO7cEAuNirOXsxn2wz6e/X4vRxMzStX/irMrmH1kNjuTdt55UK+HK2fg2O+w+X+w+BlY8GTx7G0bnULfc9PwKyqq9FncxXvjKNQpuDlY0bvp9dJAyYfg6lkI7g9qTfG5GrWGMLcwwt3DKy0+IYQQQgghqhtJcAVgqOE5sd1EHCwcmLh7Iul56UZre87ROSiKwlut3ir97r66IvhtFCx+GtuTv/KfnoGsfb0DnQLcANhx5gpPzNzBGz8ffOD63CGBQ9CoNCw48gPE7YXCXMOBxAPwkRd82QJ+GQ7bp8CZDZB7lclbJ6JWqTmLHtuiTKKwpTWaSpvFvbU00JDWvobSQABHlxn+bXrzNm9FUdiZuJOcwrKvUxZCCCGEEMKcGCXBXbduHS1btiQ0NJS2bdty6NAhADp37kyDBg0IDw8nPDycL7744p5trF69msDAQBo1asSAAQPIzMw0RmiiDDztPHmnzTu42bgZdS3uxIiJTOsyrWzliDRaGPwT2HvAry9Ce2v86zgz/8UIFi15l5CUMwD8Hp1Et4828L/Vx0nPKSjZxsk/YOvH1Fn9b3rk69h9cT+nFz4OKUcMx2vVB+9WEPEKPPkNjNoB/00m/plFzD28gAJdAb+pitjgOxJbVKzXWRJ3cH6lzOKuPZrM5WuG0kBDb5QG0uvh6K/g5GuI+7pzGecYtXEU0w9Mr/C4hBBCCCGEqM605W0gLS2NoUOHsn37doKDg4mKimLo0KEcPXoUgC+++IInn3zyvm1kZWUxcuRItm3bRmBgIK+88gqTJ09mypQp5Q1PlNETfk/Qq0EvtOpyf2sUs7Wwpatv17Jf6N4ERv4Jn0ZAj0ywB/7Mp31sNCtjx7CqSQdmdBqMvXM+Wbu3s/aveGqF9KBzv+exttDAuncg/QKo1Axza8g6y3wWNunI+w6e1wOrDcNX3tHt+9veR8XNmeYEhyZ0J4c/sGWl3orZK0fxz+f+eMhXo3TmXd9cqnfTOrg7WhseTDsP+VnQMtKwZvm6HYmG8kDtvdpXaExCCCGEEEJUd+XOYs6ePYuLiwvBwcEAdOjQgbi4OA4cOFDqNtauXUuzZs0IDAwEYPTo0Tz66KOS4FYBlUqFVmX4ttgct5lQt1BcbVwfqq35x+aTcC2BN1q8gZ2F3cMF5OQNkWvhw7YQYQXxOjhRhLqNBf1a/k3f2gdRqW8me/Oj9XQ97cfYRxvT/4npaGycwL0JTS1saLZ2GKuvHOUNa3tq36fLbRe2oVN0qFWGGxxUqNirVuis5DJfsWJF6gn++XDPplQOxadzMC4duGVzKTDUvn3z9M1brK+LSozCSmMl5YGEEEIIIUSNp1LKurXsbTIyMvDz82PVqlW0a9eOlStX0q9fP5YvX86MGTNISUnBwsKCoKAgPvroI/z8/O5o4/PPP+fUqVN8++23AOTk5ODg4EB+fj5abckcfOrUqUydOrX46/T0dJYvX16ep1Ch8vLysLa2ruowyuxCwQVmXp1JiFUIw52Hl37t7HXXdNf4+MrH2KvtedP1zeKk+WGpUy9S9/J2EuzagkpFg8yNeGXv55qND9ecG3HFqh4r03xYllybQr0hVi87GNBQTXBtFSqVivMF59EpOhpaNizT8ykxhopSPHtqk3eRXCv3ErOpxjD3uI49FxXqO8A7Le//uuXp85hwaQL+lv68WPtFo8ZhLkz1Z1DcJGNo2mT8TJuMn+mTMTRtMn53GjlyJAkJCfc8Xu4ZXCcnJ5YtW8Y777xDVlYWERERBAUFodVqWbhwIT4+PiiKwldffcUTTzzB8ePHy9Xf2LFjGTt2bPHX3t7ePPbYY+V9GhVm/fr11Tq++zm97TTrYtdR2KiQPg37lOnaibsmkn85n086fEK3et3KH0x8PPiNJLhozs3HtFrszm3B08eHRkAE8Gp6Ll9sOMWyAwkkZsPMw3ra+7vwTq8mPOb1cONw1zFMPgw/REKzodDzE1AbZ7+2y9fyeWX7JgBe7x3GY828DQdid8LxFdDulRLlgTbHbUZ3SUf/8P481sQ0v88qmin/DAoDGUPTJuNn2mT8TJ+MoWmT8Ss7o7wr79KlC9u2bePvv//m888/JykpiaCgIHx8fADDba+vvPIK586dIzU19Y7rfX19uXDhQvHXsbGx1KlT547ZW1G5xrUZh4u1Cx/t/YiL2RdLfd2J1BP8evpXWnm2eri1t3fj4wMjRoClpeFrS0uIjDQ8fou6zjZMGRTG2tc70KWxYcflnWdSeWLmDl7/+SBxqdnsTNzJzsS7lAwqi1r1was57PvOsAlWUcEDLymNn/YZSgO52lveLA0EEL0I9n17Rz86RYefkx8dvDoYpX8hhBBCCCFMmVES3OTk5OLPJ0+eTNeuXalfvz4XL95MipYvX46HhwcuLi53XN+zZ08OHDjAyZMnAZg1axbPPPOMMUIT5eBs7czEdhO5VniNCbsnUJq72RVF4ZP9n6BSqcpWFqg0xo837CQMhn/fe++epwZ6OjI3sjWLX2xDqLcTACuik+j+xZ+8umkMH+/7tFTP556sHWHoMgh8wlC656dnoCD7oZvT6RVOpmTy4x7DH3qGtKmHlfZ6ndvCPDixCuqEgat/iet61OvBiidX4Ovoe3uTQgghhBBC1DhGmSIdP348UVFRFBUVERERwZw5c8jPz+fxxx8nPz8ftVqNq6srK1euLHFN3bp1GTVqFA4ODnz//fc8+eSTFBUVERISwvz5840Rmiinzj6d6duwL3/G/snZ9LP41/K/7/kZ+RnkFOYwoNEAGtdubNxgbszifv/9XWdv76ZdQ1d+H92eP44k8+n6k8RfhewrLYlVonhn3TImdh9g2HH5YVhYw6D5sPoNOLgQ5veFEavBwuaBl16+lk90fDoH49I4GJfO4YR0sgt0AGjVt5QGAjizEfIzIeSpe7QmhBBCCCGEACMluLNnz77r43/99dc9r3n//fdLfN23b1/69u1rjHCEkb3V+i1eCn2Jeo71Hnius7UzPz3+E/m6/IoJZvx42L79vrO3t1OrVfQJq8tjwZ4s2nuB6VuvUaTsZMW5n9j2WW3G9AhgYHNvNOqHmG3WaKHvTLBzBV0haO/cBCC/SMfxpEwOxqVz8HpSm5CWe5fGoK6TNSM7+OHheEs7R5cZ/g0ZUOLcn0/+zJ7kPbzT+h087DzKHrsQQgghhBBmRha5igdytHTE0dIRgCu5V6htXbu4hM6tUrJT8LTzRKPWYKu2rZhgfHwgJuahLrXUqols34CBLbwZsmIzF1S7uXgplv8sy2NO1Hne7hVI58ZuZb+tWqWC7hNBUVCAhEtpxJw5zc5UOw7GpXM8KZMCnf6Oy6wt1IR6O9PM15lmPrVo5utcMrEFQ93bmHXg285QMukWGy5s4NDlQzhZOZUtXiGEEEIIIcyUJLii1A5dPsTojaMZHT6aoU2Gljh2Oecy/X7vR/9G/Xm79dtVFGHpOFpb8GHXVxi6ZjeNAw4Sc7QXMRevETlvPxF+LrzTO5BQb+dStZWVX8ThBEPd2oNx6UTHp/Nu/ud0UB9hWsFbHFVulsXyc7MrTmSb+TrT2MMBreYBy+AtbGDwT6AueRt1VkEWBy4dIKJOBNZ3mTUWQgghhBCiJpIEV5Sav7M/DpYOTPt7Gu3rtqe+U/3iYzMOziCnKIfWnq2rLsAyCHULZUyLMXTx6UJhd1c+WXuSTScvsftcKn2/3EmfsLq8+WhjfF1uzkTr9QpnL2ddv9XYsHb21MVr6G/bq2qVOoKemv38Yv0BfwR/jlvoo4R7O+Nka1H2QNUaaNjljof3Ju+lSF/EI16PlL1NIYQQQgghzJQkuKLU7CzsmNx+Ms+vf553d77L/J7z0ag1HEs9xoozK2hTpw1dfO5Mxqqr50OeN3ziBHNGtGLPuVQ+WnOCQwkZrDqUxLqjyQxtU49LiTp+nLOX6Lh0ruUX3dGORq0i0NPhlluNO2GV3Q3VT4N56sQbEPQ92PYre4C5aYZ6u/UfuWMGNyoxCoAO3lIeSAghhBBCiBskwRVl0sqzFc82eZYfT/zIguMLGBE8gk/3fYpKpeI/rf5j3LJAlSBfl8/a82vp1aAXbf1c+P2fhh2Xp6yP4UJqDvN2xV4/80rxNR6OVjT3rUW4jzPNfGvR1MsJG8vbdmJ2aw+Rf8DCAbB0OAyYDaGDyhbc8RWw6nXo/y2E3SybpSgKOxJ3UN+xPj4OD95JWgghhBBCiJpCElxRZq83f50diTuYeXAmekXPgUsHeDrgaQJqBVR1aGW2/NRyPtr3EXpFz4BGA1CpVDwRWpdHgzxZvPcCP+2LR5d3jS6hDWjma1g/W8fpwWWAAPBsCiPXw++jwbtl2YM7uhw0VtC41x2Hvu3xLam5qWVvUwghhBBCCDMmCa4oM2utNf975H+cTT9LM/dmnLx6kn82+2dVh/VQ+jbsy4yDM1hwbAH9/fsXz0BbatWMaN+AEe0bsH79eh57LOjhOqjtB5FrDTstA1w6Aa6NQf2AzaWupcD5KAh8HKxL7pKsUqlo6NyQhs4NHy4mIYQQQgghzNQD3mULcXdhbmEMaDSABk4NmNJpCrWta1d1SA/F3tKegY0GcjbjLLuSdlVMJzeS26Ro+K4L/D7KUDP3fo79BigQMvCOQ7uSdpGel27sKIUQQgghhDB5kuCKGm9ok6GoVWoWHl9YsR25NTbsiHx4Cfw8FApy7n3u0eVgaQ8BPUs8nFWQxT83/pNxO8dVbKxCCCGEEEKYIElwRY1X174uPer1YGfSTk6nna64jixs4OmFEDYETq+Hhf0NOyXfTq+Dus2h2XNgaVvi0J7kPRQpRXTwkt2ThRBCCCGEuJ2swRUCiAyOJLB2IO627hXbkUYL/b4C29qw+0uY+zi8sAEs7W6eo9ZA70/vevmOxB0AUv9WCCGEEEKIu5AEVwgg2DWYYNfgyulMrYbHPgA7NyjIgpBmcPbsLccB/S3nN2wIp06hKApRiVE0cGqAt4N35cQqhBBCCCGECZFblIW4xZXcK+xP2V85nT3yBnR9Fzp1AisN1AZcgLF2EKIBvR40GujcGYBTaae4lHNJZm+FEEIIIYS4B5nBFeI6RVF4fv3zZORn8OdTf2KlsaqcjsePh4zF4GcNF4rARgWZ+htBwXvvAZBTlEOoWygdvTtWTlxCCCGEEEKYGJnBFeI6lUrFoIBBXM27yh/n/qi8jn18wK07qIDGFnBNDxd0YGkJkZGG40Az92Ys6r2ItnXaVl5sQgghhBBCmBBJcIW4RX///thZ2LHw+EIURam8jt/+EhbmQaoOdheAguEW5euzt0IIIYQQQogHkwRXiFvYW9ozsNFAzqSfYXfS7srr2McHeg2H7woNCe5ts7eb4zbzwvoXiLkaU3kxCSGEEEIIYWIkwRXiNkObDEWtUrPg+ILK7Xj8eMOsLdwxe7s1fit7U/Zib2lfuTEJIYQQQghhQiTBFeI2de3rMjJkJI/7PV65tyn7+MCIEYbPb5m9VRSFHYk78HPyw8veq/LiEUIIIYQQwsTILspC3MVrzV+rmo7Hj4ft20vM3sakxXA59zK9G/SumpiEEEIIIYQwEZLgCnEfZ9LOkK3PrrwOfXwgpuQ62x2JOwB4xFvq3wohhBBCCHE/couyEPewP2U//Vf2Z0H6AhKuJVRZHFEJUdhobWju3rzKYhBCCCGEEMIUSIIrxD00d2/OoIBBnC04y4CVA1h0YhF6RV/pcXzS8RO+6PwFlhrLSu9bCCGEEEIIUyIJrhD3oFFrGB8xnpdrvUxt69p8vO9jhq8dTmxGbKXG4WnnSXuv9pXapxBCCCGEEKZIElwhHqCRVSN+7fsrzzZ5lqOpR8kpyqm0vvcl7yMpK6nS+hNCCCGEEMKUySZTQpSCrYUtb7V+i+HBw/G08wQMa3QdLB0IrB1YIX3qFT1vRb2Fs5Uzv/X7rUL6EEIIIYQQwpzIDK4QZXAjuS3SF/HezvcYvHowMw7MoEBXYPS+Yq7GcCX3Co94ye7JQgghhBBClIZREtx169bRsmVLQkNDadu2LYcOHQIgMjKSgIAAwsLCaN++Pfv3779nGyqViqZNmxIeHk54eDhRUVHGCE2ICqFVa/mi8xf41/Jn9pHZDFo1iEOXDxm1j6hEw8+AJLhCCCGEEEKUTrlvUU5LS2Po0KFs376d4OBgoqKiGDp0KEePHqV///7Mnj0brVbL6tWrGTRoELGxsfdsKyoqCmdn5/KGJESlaOLShMWPL2be0Xl8fehrnlvzHM+HPM8bLd4wSvs7Endgq7WV8kBCCCGEEEKUUrlncM+ePYuLiwvBwcEAdOjQgbi4OA4cOEDfvn3Rag05dNu2bUlMTKSoqKi8XQpRbVioLXgx9EWW9VlGqFsojlaORmk3Iz+DQ5cP0bZOWyw0FkZpUwghhBBCCHOnUhRFKU8DGRkZ+Pn5sWrVKtq1a8fKlSvp168fy5cvZ8CAAcXnvffeexw+fJgVK1bcPRCViubNm1NUVES3bt2YPHkydnZ2d5w3depUpk6dWvx1eno6y5cvL89TqFB5eXlYW1tXdRiiHEo7hjdq5KpVaq7prrE5ezOP2j+KjdqmzH1eLrrMb5m/0cy6Ga1sW5X5enGT/AyaPhlD0ybjZ9pk/EyfjKFpk/G708iRI0lISLjn8XInuABbtmxh4sSJZGVlERERwZYtW/joo4/o27cvAD/++COTJ09m+/bteHh43LWNuLg4fH19yc7OZtSoUTg4ODBr1qwH9u3t7X3fJ1jV1q9fz2OPPVbVYYhyeJgx/O7wd8w8OBN3W3fGtx1PJ59OFRSdeBD5GTR9MoamTcbPtMn4mT4ZQ9Mm43enB+V/RikT1KVLF7p06QJAfn4+np6eBAUFAbBkyRImTZrEpk2b7pncAvj6+gJgZ2fH6NGjeemll4wRmhBV4sWmL+Ji7cJnf33GK5tfoXeD3rzd+m1qWdeq6tCEEEIIIYQwW0bZRTk5Obn488mTJ9O1a1f8/f1ZunQp7777Lhs3bixOYO8mLS2NnJwcAPR6PUuWLKFZs2bGCE2IKqFSqRgYMJDf+/1OZ+/OrDm/hn6/9yM+M/6B1x5PPc4zq59hV+KuSohUCCGEEEII82GUGdzx48cTFRVFUVERERERzJkzB4ChQ4fi6elJv379is/dtGkTLi4ufPPNNyQlJfH+++9z8uRJXn75ZVQqFUVFRTRv3pzp06cbIzQhqpSHnQczus5gXew6NsVtwtvB+4HXRCVEcSz1mGwuJYQQQgghRBkZJcGdPXv2XR8vLCy85zWjRo0q/jwiIoLDhw8bIxQhqh2VSkWvBr3o1aAXAIqi8Ob2N2lXtx39/fujUqlKnB+VGIWdhR3h7uFVEK0QQgghhBCmyyi3KAshSu9izkUOXjzIhF0TeGnDSyRcu7lIPiM/gyNXjhBRJwILtczgCiGEEEIIURaS4ApRyTztPPntyd8Y2Ggge5L3MGDlABadWIRe0bMraRd6Rc8jXo9UdZhCCCGEEEKYHKPcoiyEKBtHS0cmtpvIY/UfY9LuSXy872NSc1NJyU4BoL1X+yqOUAghhBBCCNMjCa4QVSiibgS/9v2Vbw59w+DAwVhqLOnZoCeedp5VHZoQQgghhBAmRxJcIaqYrYUtY1uOLf66o3fHKoxGCCGEEEII0yVrcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAVJcIUQQgghhBBCmAWVoihKVQdRHlZWVri5uVV1GPeUlZWFvb19VYchykHG0LTJ+Jk+GUPTJuNn2mT8TJ+MoWmT8bvT5cuXyc/Pv+dxk09wqztvb28SEhKqOgxRDjKGpk3Gz/TJGJo2GT/TJuNn+mQMTZuMX9nJLcpCCCGEEEIIIcyCJLhCCCGEEEIIIcyCJLgVbOzYsVUdgignGUPTJuNn+mQMTZuMn2mT8TN9MoamTcav7GQNrhBCCCGEEEIIsyAzuEIIIYQQQgghzIIkuEIIIYQQQgghzIIkuEIIIYQQQgghzEKNSHDz8vJ48sknCQgIICwsjB49enDmzBkALl26RM+ePWnUqBEhISFs3769+LrIyMjia9q3b8/+/fuLj40bN46mTZsSHh5OeHg4P//88z37z8nJYfDgwfj7+xMQEMCyZcuKj/3www80bdoUrVbLtGnT7vs8jNWOqakJ4zdixAi8vLyK43nzzTfL+jJVazVhDE+fPk2PHj0ICwsjODiYJUuWlPVlqrbMZfzud25Z4jFFNWEM+/fvXxxLeHg4arWalStXluFVqr7MZfz++9//EhgYSFhYGC1btmT9+vXFx/744w9atGiBlZUVb7zxRhlfoeqtJozfxIkTcXNzK45n6NChZX2ZqrWaMIYXL15kwIABhIaG0qRJE9POJ5QaIDc3V/njjz8UvV6vKIqizJw5U+nUqZOiKIoSGRmpTJgwQVEURdm3b5/i5eWlFBQUKIqiKCtWrFAKCwsVRVGUVatWKfXq1StuMy0trfjzhIQExcHBQbl8+fJd+580aZIyfPhwRVEU5dy5c4qbm5ty5coVRVEUJTo6Wjl+/Ljy3HPPKV988cV9n4ex2jE1NWH8hg8fbnbjdquaMIbt2rVTZs+erSiKoly6dEnx9fVVEhISHvjamAJzGb/7nVuWeExRTRjDW+3fv19xcXFR8vPz79ueqTCX8VuzZo2Sk5NTfJ2jo6OSlZWlKIqixMTEKNHR0cq4ceOU119/vTQvi8moCeM3YcIEsxu3W9WEMRwyZIgybtw4RVEUJSsrSwkLC1P27dv34BenGqoRCe7t9u/fX/wNZmdnpyQnJxcfa9WqlbJhw4Y7rrl8+bKi1WqLv0lvdfLkScXe3l65ePHiXfsLCgpSdu/eXfz1oEGDit8I31CaBMdY7Zg6cxy/mjButzLHMbSzs1MSExOLj/Xp00f5/PPP79ueqTLV8SvtuQ+KxxyY+xiOGjXKrN9sm/r4KYqi6HQ6xcHBQTl//nyJx809UVIU8xy/mjButzLHMQwODlZ27txZfPzVV19VXn311VK3V53UiFuUbzd9+nT69etHamoqhYWFeHp6Fh+rX78+cXFxd72md+/eaLXa4sdmzJhB48aNad68Od999x3u7u537S8uLo569eo9sI8HMVY7ps5cx2/69OmEhobyxBNPEB0dXeb2TYk5jmGLFi348ccfATh37hy7du0iNja2zH2YAlMdvwcpbTzmwFzHECA3N5effvqJkSNHVkj71YE5jN/cuXPx8/Mr0W5NYa7j98svvxAWFkbXrl3ZsmVLudqv7sxxDFu0aMHixYvR6/VcvnyZ9evXm+z7mBqX4H744YecOXOGjz76qNTX/PjjjyxdupTvvvuuxOOvvfYaMTEx7Nq1iw8//JDU1FRjhytuY67j98EHH3D27FkOHz7MyJEj6dWrF1lZWVUWT0Uy1zGcP38+e/fuJTw8nDFjxtCtW7cS/4mZC3Mdv+oYT0Ux5zEEWLZsGQEBATRt2rSqQ6kQ5jB+mzZtYtKkSSxZsgSVSlUpfVYX5jp+o0aNIjY2lkOHDjF58mT+8Y9/cOHChUqJp7KZ6xh+/vnnZGVl0axZM4YMGULnzp1N9n1MjUpwP/vsM3799VfWrl2Lra0tLi4uaLVaUlJSis+JjY3F19e3+OslS5YwadIkNmzYgIeHx13bDQsLw8vLi61bt3L8+PHixeL//Oc/AfD19S3xQ357H3djrHbMiTmPn5eXF2q14cexf//+ODo6EhMTU5aXxySY8xjWr1+f5cuXEx0dzYoVK8jIyCA4OLiMr1D1ZurjV1q3xmNuasIYzpkzx2xnb81h/LZt20ZkZCSrVq2icePGD/U6mCpzHj9PT08sLCwAaN++Pc2aNeOvv/4qw6tjGsx5DF1dXZk3bx6HDh1iw4YNqFQq030fU9X3SFeWzz//XGnevLly9erVEo8PHz68xMLwunXrFi8MX7JkieLv76/Exsbe0d6xY8eKPz9z5ozi7u6uHD9+/K59T5gw4Y6F4bcvIi/NffPGascUmfv4xcfHF5+3e/duxcXFRUlPT79ve6bG3McwJSVF0el0iqIoyrp16xQfH5/ijRzMgTmM3/3OLUs8psrcx1BRFOX06dOKnZ2dkpGRUap2TIk5jN+2bdsUHx8f5cCBA/c8x1zXcpr7+N36PubUqVOKu7u7EhMTc9/2TI25j+GVK1eK4z5w4IDi4eGhJCUl3be96qpGJLjx8fEKoPj5+SlhYWFKWFiY0rp1a0VRDG9Ke/Toofj7+ytBQUHK5s2bi6/TarWKt7d38TVhYWHFO5Y9/vjjSlBQkBIWFqa0aNFCWbp06T37z8rKUp5++mnFz89PadSokbJkyZLiY3PnzlW8vLwUW1tbxcnJSfHy8rrnL35jtWNqasL4devWTQkJCVHCwsKUtm3blnge5qAmjOHs2bOVhg0bKgEBAUrnzp2VI0eOlOs1q07MZfzud25Z4jFFNWEMFUVR3nnnHWXYsGHleq2qI3MZP39/f8Xd3b1EPIcPH1YURVE2btyoeHl5KQ4ODoq9vb3i5eWlrFixotyvXXVQE8Zv2LBhSnBwsBIWFqY0b95c+eWXX8r9ulUnNWEM16xZo/j7+yuBgYFKq1atlG3btpX7dasqKkVRlKqbPxZCCCGEEEIIIYyjRq3BFUIIIYQQQghhviTBFUIIIYQQQghhFiTBFUIIIYQQQghhFiTBFUIIIYQQQghhFiTBFUIIIYQQQghhFiTBFUIIIYQQQghhFiTBFUIIIYQQQghhFiTBFUIIIYQQQghhFv4fzvA4LQGtznQAAAAASUVORK5CYII=\n" + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7gAAAJ3CAYAAAC+8P2OAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAMTgAADE4Bf3eMIwABAABJREFUeJzs3XdcVeUfwPHPXewNgsoQEMEt7r235kgt90oTs7J+WmlDKy1//spsWK4yNa0caWqWkntvBTeIyhRBUTaXu87vj6sogrIuoPi8Xy9ecu855znfw4Hr/d7neb6PTJIkCUEQBEEQBEEQBEF4xsnLOwBBEARBEARBEARBMAWR4AqCIAiCIAiCIAgVgkhwBUEQBEEQBEEQhApBJLiCIAiCIAiCIAhChSASXEEQBEEQBEEQBKFCEAmuIAiCIAiCIAiCUCGIBFcQBEEQBEEQBEGoEESCKwiCIAiFUKdOHVauXFmofTt06MBHH31UyhEJgiAIgvAokeAKgiAIzz0bG5ucLzMzMxQKRa7nDhw4wIULFxg9enR5h1ooo0ePRiaTsX379jzbvL29kclkBAcH53r+2rVryOVyZDIZOp0OgBUrViCXy7GxscHW1hYnJydatmzJ3LlzycjIKJNrEQRBEISiEAmuIAiC8NxLT0/P+Xrvvfdo27Ztrufatm1bbrFJkpSTcBZGUlIS69atw9nZmYULF+a7T+3atVm8eHGu5xYvXkzt2rXz7Fu1alXS09NJS0vjxo0bzJkzh40bN9KsWTOSk5OLdC2CIAiCUNpEgisIgiAIheDt7c1PP/2U8/jSpUv07duXypUrY29vT4sWLYiJicn32NmzZ+Pr68v58+cB+Oeff2jevDmOjo7UqFGD7777LmffyMhIZDIZy5Yto0GDBlhZWXHy5MlCx/nzzz9jbW3NokWL+Pvvv4mOjs6zz+jRo9m5cyc3btwAIDs7m+XLlxMUFPTEti0sLOjYsSNbt24lISGB+fPnFzouQRAEQSgLIsEVBEEQhCJKSEigbdu21K1bl/DwcO7cucOCBQuwtLTMtZ9arWb48OH8888/HD16lLp167Jnzx6GDRvGnDlzSEpK4s8//+TLL7/k119/zXXszz//zNatW0lPT6dhw4b89ttvODg4PDEuSZJYvHgxI0eOZMCAAVSpUiVPTy2Ak5MTAwYM4McffwRg/fr1BAQEUK9evUJdv6urK127dmXHjh2F2l8QBEEQyopIcAVBEAShiFatWkXlypWZM2cOdnZ2KBQKmjZtiouLS84+CQkJdOzYEb1ez549e3B1dQXg66+/5rXXXqNz587I5XLq1q3LxIkTWb58ea5zzJw5E09PTxQKBebm5gwbNqzAIcHBwcFcu3aNV199FYVCwSuvvMKyZcvQaDR59p04cSI//fQTer2eRYsWMXHixCL9DLy8vEhKSirSMYIgCIJQ2kSCKwiCIAhFdP36dQICAp64z9atWzl//jyff/45FhYWOc9fuXKFb7/9FgcHh5yvuXPnEh8fn+t4Hx+fIse1cOFCWrdunTOXdty4cdy+fZsNGzbk2bdly5Y4OTkxZ84cwsLCeOmll4p0rujoaJydnYscoyAIgiCUJmV5ByAIgiAIzxpvb28OHDjwxH3GjRuHubk5bdu2JTg4OGf4b+XKlRk6dCgzZ8584vFyedE+g46Ojubvv//GwsKCypUr59q2cOFChg4dmueY1157jUmTJjF16lTMzc0Lfa7ExER27NjBpEmTihSjIAiCIJQ20YMrCIIgCEU0atQoYmNjmTFjBmlpaej1ek6ePMnt27dz7TdjxgxmzpxJx44dOXToEABvvfUWCxYsYNeuXeh0OnQ6HefPn2f//v0limnx4sW4uLhw+fJlQkJCcr7WrVvHwYMHOXfuXL7X8e+//zJ9+vRCnSM7O5t9+/bRt29fKlWqxH/+858SxSwIgiAIpiZ6cAVBEAShiNzc3Ni/fz/vvfcePj4+6HQ6atWqxfr16/PsO3HiRJydnXnhhRf49ddf6d+/PxYWFsycOZNLly4B4O/vz3vvvffEc/76668EBQWRnp6eZ5tGo2HZsmVMnjwZT0/PXNsGDhxIYGAgCxcuZNGiRbm2WVlZ0aVLlyee98aNG9jY2CCXy1EqldSoUYO+ffvy1ltvYWNj88RjBUEQBKGsySRJkso7CEEQBEEQBEEQBEEoKTFEWRAEQRAEQRAEQagQRIIrCIIgCIIgCIIgVAgiwRUEQRAEQRAEQRAqBJHgCoIgCIIgCIIgCBWCSHAFQRAEQRAEQRCECuGpXCbI3NycSpUqlXcYT5SdnY25uXl5hyGUkLiPFYO4j88+cQ8rBnEfKwZxHysGcR+ffeIe5u/WrVtkZ2c/dnuhEtzJkyezZcsWoqKiOHPmDIGBgQBcuXKF0aNHc/v2bezt7VmxYgV16tQB4J9//uGjjz7CYDCg0+l49913GT16dKGCrlSpErGxsYXat7wEBwfTvXv38g5DKCFxHysGcR+ffeIeVgziPlYM4j5WDOI+PvvEPcyfh4fHE7cXaojyoEGDOHjwINWqVcv1fFBQEBMmTCA8PJxp06YxZswYACRJYsSIEaxYsYKQkBC2bt1KUFAQaWlpxbsKQRAEQRAEQRAEQShAoRLcdu3a5cmUExMTOXnyJCNGjABg4MCBxMTEEBERAYBMJiM5ORmA1NRUnJ2dRRe7IAiCIAiCIAiCUGqKPQc3JiaGKlWqoFQam5DJZHh5eREdHY2fnx9r165lwIABWFtbc/fuXTZu3IiZmVm+bc2fP5/58+fnPE5OTiY4OLi4oZWJ7Ozspz5GoWBqtVrcxwpA3Mdnn7iHFYO4jxWDuI8Vg7iPzz5xD4unVIpM6XQ6PvvsMzZu3Ei7du04ceIEffv25dy5c7i4uOTZf8qUKUyZMiXnsYeHR57x5gaDgcTERJKTk5EkqTTCLpKsrCwsLS3LO4yngkqlwsvL67EfYDzNxNyGikHcx2efuIcVg7iPFYO4jxWDuI/PPnEPi6fYCa6npyfx8fHodDqUSiWSJBEdHY2XlxchISHcuHGDdu3aAdC0aVM8PDw4c+YMXbt2Ldb5oqKikMvleHt7o1Kpihu2yaSmpmJnZ1feYZQ7SZJISkrK6bkXBEEQBEEQBEEoL8VOcF1dXWnUqBGrV69mzJgxbNiwAQ8PD/z8/EhISCA+Pp5Lly5Rq1YtIiIiuHr1KgEBAcU6l8FgQK1WU6NGjZwh0eVNLpejUCjKO4yngrOzM3fu3MFgMCCXi6WVBUEQBEEQBEEoH4XKFoOCgvj777+5efMm3bt3x9bWloiICJYsWcKYMWOYM2cOdnZ2LF++HAA3NzeWLl3Kyy+/jFwux2Aw8P333+Pl5VWsIO8PSZbJZMU6Xihd9+/L0zB0vChiUmK4mX6TmJQYPO09yzscQRAEQRAEQRBKqFAJ7pIlS/J9PiAggCNHjuS7bejQoQwdOrT4kQlCKZu1bxYtDC2YvX82S/ssLe9wBEEQBEEQBEEoITGeVHguxaTEsCJ0BQDLQ5YTkxJTvgEJgiAIgiAIglBiIsEtobS0NGxsbBg3blyB++7du5ft27eX+JyRkZE4ODiUuJ3n2Re7Z3BCb0GL+D+Ry+TM3j+7vEMSBEEQBEEQBKGEno6KTUWk0xu4lZ5dqueoZGOOUlFw/r927VoaN27Mxo0b+fbbb7GxsXnsvnv37iU5OZkePXqYMlShiGJSYmh+dj2BKNHfPYy9pGV5yHJmtJsh5uIKgiAIgiAIwjPsmUxwb6Vn0/K/u0v1HEfe70QV+4LXuV22bBkzZsxgyZIlrF27lnHjxpGSksLUqVM5evQoCoWCxo0bM3nyZBYvXoxer2fv3r0MGDCAUaNGERgYSHJyMgDp6enY2trmFGsaPnw4YWFhaDQaPD09WbZsGZUrVy7Ny34uzNo3ixiZAT9JRwsJxqFivgwxF1cQBEEQBEEQnnHPZIL7tLh48SIxMTF0794dnU7H3LlzGTduHG+//TaWlpacPXsWuVzOrVu3qFSpEhMnTiQ5OZlvvvkGMA41fpJvvvmGSpUqATB37lw++eQTFi9eXMpXVbHdn3urk3TsAlKU7kzUGfhCly56cQVBEARBEAThGfdMJriVbMw58n6nUj9HQZYtW8aoUaNQKBT06tWLoKAgLl26xNatWzl27FjOmrD3k9Si+u2331i1ahVqtRq1Wo2Li0ux2hHu0WmIX9GTxpKcY4BOBpcdWxF/ayvOyEhGJnpxBUEQBEEQBOEZ9kwmuEqFvFDDh0uTVqtl1apVqFQqfvvtNwAyMzNZtmxZodtQKpXo9fqcx2q1Ouf7gwcP8t1333HkyBFcXV3ZsmULM2fONN0FPI/2fE6zuzH0Q86Jex8+hFTqzqtJGwAZSHr2Ru4t1xBNKS45i293htPU24mXmpRNr3RMSgxdVnVh58idoidcEARBEARBKHOiinIx/fPPP/j6+hIXF0dkZCSRkZEcPXqUVatW0bdvX+bNm4fBYADg1q1bANjZ2ZGSkpLTRuXKlZEkiYsXLwLwyy+/5Gy7e/cutra2ODs7o9FoHrsWsVBI1/bCoW/BvTHvz0hFP1OPfqYed3sP4/czdOjfzyD8zfDyjtQkQmKS6ff9IdadjOXdP84yLzgsZ253aZq1bxbhSeGiKrUgCIIgCIJQLkSCW0yrV69m+PDhuZ6rVasW7u7utG/fnuzsbOrVq0dgYCAffPABAC+++CIhISEEBgYya9YslEolCxYs4IUXXqBp06Zotdqctnr06EFAQAABAQG0bduWwMDAsry8iiXjNmwMAjMbGPgTKFS5t6clwKLWsLtiJGX/nItn8JIj3E7PRimXAfD9ngg+2nQevaH0klyxtrAgCIIgCIJQ3p7JIcpPg/Xr12Nvb5/n+dOnTwMwatSoPNt8fHw4c+ZMrufGjh3L2LFjcx5PmzYNAJVKxdq1a3Pt+/nnnwPg7e2dU3lZKIAkweY3IP0mvLgUnHzz7mPjCnoNnFkNnT4CVfkOfy8uSZJYuPcqXwaHAVC9kjU/jW7KTweu8euxaH49Fk1ylpavXw7ETGn6z7bm7fqIFQZz3CUzeqMT85kFQRAEQRCEMid6cIWKzaAHlxpQfwg0GJz/PjIZNB0P6mQ4v6FMwzMVjc7AO+vP5iS3rf2c2TipNT4u1nzWvy5vdvID4O+z8YxbeYKMbJ1Jzx+TEsOW878zXFLQASUd9QbRiysIgiAIgiCUOZHgChWbQgndZkP/RU/er8EQUFnBiZ/KJi4TupuhYeSyY2w4HQvA0GZerBjbDHtL41BsmUzG1G4BzHihNgAHrtxmxLJjJGdqSn5yvRbiTjFr3yxuyGW0JwOAUaiQy+RiLq4gCIIgCIJQpkSCK1RMmkzYNRuy042P5QX8qls6QL2X4MYZiDtV6uGZyrVb6QxYdJhj1+8gk8FHvWsx58W6qBR5r3dcGx++eqkBCrmMM9HJvLzkCDdT1Pm0WkhJV2FZVwzLe3MgZCUavYb9Mj270dEXJVY6jejFFQRBEARBEMqUSHCFiunfD+HAPAj9vfDHNB0PSktIvFR6cZnQkatJvLjwMNdvZ2CpUrBkRGPGt/VFJpM99piBjT1YMqIx5ko54QnpDFxkPL5IJAlOr4LFbeFGCNudq/FwCrsKLRbIeAkVsntrCwuCIAiCIAhCWRAJrlDxXNwCJ38Gn3bQZFzhj6tSH94Jh4YjSi82E1l3MoZRPx8jJUuLm5056ye2pFudyoU6tkttN355pRm25krikrN4afFhzselFHwgQOYdWDcKtrxh7PUes5W3dXdRo0cukyOXyflTpmcWGnbLDOgr2NrCgiAIgiAIwtNNVFEWKpaUWNjyJlg6GasmFzQ0+VEWdqUTl4kYDBJf/hvGor1XAahT1Y5lo5tS2d6iSO0093VmTVALRv98nNvpGoYuPcpPo5vQ3Nf5yQdGHYJLW6B2f+jzDVg6Pnbt4JlFikgQBEEQBEEQSk704JZQWloaNjY2jBtXuJ7CyMhIFi9eXOj2lyxZQs2aNQkMDCQpKam4YT4fDHrjerfqZOi/EOyqFK+dIwvh555gMJg0vJLK0uh5/bfTOclt19purAtqWWByqzfo832+TlV71k9shbuDJWnZOkb9fJydFxPy7qjTQGq88ftafWDsNnhpBVg6PjlgdQrEhxZ0WYIgCIIgCIJgMiLBLaG1a9fSuHFjNm7cSHp6eoH7FzXB/eabb1i+fDkhISE4OxfQu/YQvT7/pKakdDrTLi9jUpl3QJMGTV+FgJ7FbycjEaIPw7XdpouthBJT1QxZeoRt528CMKGdL4tHNMbaPP9BGFGpUUiShN6gZ+q+qXx7+lsMUt6E3cfFmg2vtcLfzYZsnYGg1afYcCr2wQ63r8CyLvD7YGOiC1CtlXFppSeRJFjSHtaONH4vCIIgCIIgCGXg2U5wf2ie/1eSsYeLpKuP3+e+iJ2P31YIy5YtY9q0abRr1461a9cCsGLFCvr375+zz9atW+nQoQMAEydOJCwsjMDAQPr27QvAyZMnadWqFfXr16dZs2YcOnQIgEGDBnH16lXGjBnDoEGDAFi1ahX169enfv369O7dm7i4uJxzduzYkYEDB1KvXj2OHz+OTCbj888/p3nz5nh7e7Np0yb++9//0qRJE2rUqMHevXtzYgwODqZNmzY0btyYZs2asWfPHgD27t1LnTp1GDduHIGBgfz5559F+vmUKZtKMG4ndPusZO00HgvI4PjTsWTQpfhU+v9wiNDYFJRyGf8dUI8PetVCIc8/yfwj/A/6b+7P2rC1ZOoyuZV5i5/O/cT0A9PR6PMuDVTZ3oJ1QS1p6OWA3iAxdX0oyw5cg1MrYEk7iD8Lfl0LTmofJpMZe3uToyD6aDGvXBAEQRAEQRCKRszBLYGLFy8SExND9+7d0el0zJ07t8ChyosXL+btt98mJCQEAI1Gw4ABA/jxxx/p3r07Bw8eZODAgURERPDHH3/g7e3N2rVrCQwM5Pz587z77rucOnUKd3d3Pv/8c8aPH8+2bdsAOHbsGGfOnCEgICDnfDY2Nhw7doxdu3bRr18/vv/+e06ePMn69et59913OXHiBNeuXeOTTz4hODgYOzs7IiIiaNu2LZGRkQBcunSJhQsXsmzZslL5OZaYOgWuH4BaL4DSrOTtOVYD/+4Qvh3uRhkfl5PdlxN487czZGj02FooWTyiMa39XPLdV2vQ8r/j/2Nt2Frcbdxp6NoQWzNbfur+E+8feJ9t17dxK/MW33T8Bntz+1zHOliZ8ev45gStOsW5K9dx/3cCKE4g2Xsge3EpeLcuevANhsLh74yVrKu1LM7lC4IgCIIgCEKRPNsJ7uvHnrzduXrB+/h1MX4Vw7Jlyxg1ahQKhYJevXoRFBTEpUtFW2ImLCwMuVxO9+7dAWjTpg1ubm6EhITQpk2bXPvu2bOHHj164O7uDsCkSZOYNWtWznDkVq1a5UpuAQYPHgxAkyZNyMjIYMiQIQA0a9aMK1euALB9+3YiIiJo165dznFyuZzo6GgAfH19ad++fZGuq8xIEmz9D5zfAKP/MlZONoWmrxoT3FMroMvHpmmziFYcus6srRcxSODlZMXPY5rg52qb775JWUlM3TeVUwmnaF65OV+2/xJHC+McWUulJV+1/4p5J+ex+tJqRm4byaIui3C3cc/VhpWZkmWjm3Lw+6V0Sj7BX/oWhHh+zAdeLVEU5wLcakPl+nBhE/T8H6gsi9OKIAiCIAiCIBRaoYYoT548GW9vb2QyWU7PI8CVK1do1aoV/v7+NG3alAsXLuRsy87O5o033qBGjRrUq1ePESOe/qVXikKr1bJq1SpWrlyJt7c3fn5+ZGZmsmzZMpRKZa45sGq1ukhtP2kd0yftZ2Njk2cfCwtjASKFQpHn8f35tJIk0bVrV0JCQnK+4uLiqFGjxmPbfWqE/GZMbmu+AN5tTddu9U7g6A3hwWU+h1SnNzBz83k++cuY3Dap5sim11s/Nrk1SAYm7JjAqYRTjKg1gsVdF+ckt/cp5AqmNZvGtKbTyNRmopA9krLqskGnwUwpp33Q1/xe7VPe1L7JspN3mbzmDBpdMQtuNRgK2SkQtq14xwuCIAiCIAhCERQqwR00aBAHDx6kWrXcQzWDgoKYMGEC4eHhTJs2jTFjxuRsmz59OjKZjPDwcM6dO8e8efNMGnh5++eff/D19SUuLo7IyEgiIyM5evQoq1atolq1apw9e5asrCx0Oh2//fZbznF2dnakpDxYczQgIACDwcCOHTsAOHz4MDdv3iQwMDDPOTt27Mj27du5ceMGYBzu3Llz55zktbi6d+/Ozp07OXv2bM5zew/tJU2TVqJ2S93tCPjnXbCtCn0XFG2OaEHkchj+B0zYa9p2C5Cm1jJu5Ul+ORIFQP/Aqvz6anOcrB8/9Fouk/NWo7eY1WoW05pNQyl//MCMEbVHsKX/FipbG9fMTcpKglth8FNn2GOcu6ywtGPImLeY3Mn4AcffZ+MZt/IEGdnFKDBWb5CxF1dhgqHjgiAIgiAIglCAQg1Rfnjo6n2JiYmcPHmSf//9F4CBAwfyxhtvEBERQZUqVVi2bBmxsbE5vYyVK1c2Ydjlb/Xq1QwfPjzXc7Vq1cLd3Z1bt27Rq1cv6tatS5UqVWjdujXHjhmHStevX586depQt25dfH192bJlCxs3bmTy5MlMnToVCwsL/vjjj3x7TevWrcuXX35Jjx49APD09OTHH38s8bX4+fnx22+/ERQURGZmJhqNhjr16zB3ydx8K+8+FXQa2DAOtJkwbA1YOZn+HC41TN/mE8TcyWTcyhOEJxircU/p6s+bnfzy7dHXG/QsPruYnt498XXwpZ1H4YdmW6msADiTcJqg4HFMTbrL4NQUYy/4PTKZjCndAnCwMmPW1oscuHKbEcuOsXxMUxysipCs2rjCxAOF318QBEEQBEEQSkAmSYUff3m/Em9gYCCnTp1i2LBhhIWF5Wxv1qwZc+fOxcXFhb59+zJkyBB27tyJpaUln3zyCZ07d8633fnz5zN//vycx8nJyWzYsCHXPpUqVcLHxwe5/Oko/CxJUqGHEj+L0gxppOhTcFY6Yyl78txJg8HA9evXuXXrVhlFB/ZpV2hycRZRVXoT4TWk2O2o1eqcYdv5sVTfxCduCzGVu5Fm7V3s8xTkWorEwnN60rSglMOYmnKauuX/u55lyOLX5F+5rLlMQ4uGDHcYnu9+T6LSpuJ4/Xs+skwgWqWih7I+nZxHIJflPefRmwZWXjZgkKCqNUxuoMDRvOi/+zKDDukJvcslUdB9FJ5+4h5WDOI+VgziPlYM4j4++8Q9zN+4ceOIjY197PZSebep0+mIioqidu3azJ07lzNnztC1a1cuXLiAm5tbnv2nTJnClClTch57eHjkFF0C45qu4eHh2NnZlXg4rqmkpKRgb29f8I7PGLVOTUp2Ci7mLqQkp6BT6LC3ffJ16vV6LC0t6dKlSxnen+6Q1JPqDl5UV6iK3UpwcHCu37U8Yk/Bmcl4enpA96Bin+dJ/gq9wdcHQtHowNnajKWjmtC4mmO++15LucZbu98iUhNJv+r9mNFyBuYK86KfdHkvSAphdd3+vGmhYXvSWbDczWdtPsvTXneg9cUEXv/tNDcyDCy4aMbq8c3xcbEu/Pn+GAd3rsGEPUWPtRAKvI/CU0/cw4pB3MeKQdzHikHcx2efuIfFU+zuUE9PT+Lj43MVKoqOjsbLywsvLy/kcnnOEN6GDRvi4+PDuXPnTBO1UGoSMhO4nXUbCQlLpSVpmrSna5hy+i1IjjF+71wdSpDcFopHY6jaEM6uMy5HZEKSJLFg1xXe/N1YxKmGqw2bXm/92OR2f+x+hv89nJi0GKY3m87s1rMLTG5jUmII+D6AmJQYMDx0H7vNhgE/4jhoJT/1WE7Xal3ZHrmdCf9OQGvQ5mmnS203fnmlGbbmSuKSs3hp8WHOxxXh52FmBTdOQ8LFwh8jCIIgCIIgCEVU7ATX1dWVRo0asXr1agA2bNiAh4cHfn5+uLi40LlzZ4KDgwG4fv06169fp1atWqaJWigV6Zp00jXp2JvbY6m0xM7cDoNkIF2TXt6hGUkSbHoNFreG1Btld96m441zfUPXmKzJbJ2eqetC+WpHOABta7iwYVIrPJ2sHnvMvph9KOQKlnRdwvBawws1RH7WvlmEJ4XzU/A7sLQdXNtr3ODeGOq/DICF0oJ57ecxqvYomldpjkqe/4cGzX2dWRPUAhcbM26naxi69CjHriUV7oIbDDX+e9Z0P0NBEARBEARBeFShEtygoCA8PDyIjY2le/fu+Pn5AbBkyRKWLFmCv78/c+fOZfny5TnHLF68mC+//JJ69erRv39/lixZkrN+q/D0kSSJhMwEZDIZrlauANiZ2QGQrn1KEtxjiyFiBwT0BruqZXfeOgPAwgFO/GSSJYPuZGgY+dNxNp6JA2BECy+Wj2mKnUXexDJTm4lWb+xRnd5sOuteWEfzKs0LdZ6YlBhWhKxgkqRi+sVtSAkXIPFyvvvKZXLebfourzV4Lee8l+/k3bdOVXvWT2yFh6Mladk6Rv18nJ0XEwoOxrMFOFQz9oQb9AXvLwiCIAiCIAjFUKg5uEuWLMn3+YCAAI4cOZLvNl9fX/bsKZ35doLppWpSUevUOFs6Y3ZvSRczhRk+9j5YKp9cZKpMxJ+FHTPByRd6fVG25zazgoYj4Mj3EH0UqrUsdlNXb6XzyooTRCVlIpPBjN61GdvaO9/e2Lj0ON7a/Rb1KtXj45Yfo1KoqGpT+MT+8z0fs0Eypy8KrmNgrX9HpreY+MRj7scx8/BM9sXs44t2X9DRq2OufXxcrNnwWitGLjtGeEI6QatP8cXA+gxs7PH4huVyaDAE9v0Pru8zrjMsCIIgCIIgCCb2dJQkFsrdXfVd5DI5LpYuuZ63UlmVf7VoTYZxSSBJgoHLwNy27GNoPhHG/A1eLQrcVZIk0tRart1K5/j1O/xzLp5fjkQyLziMF384RFRSJlZmCn4a1YRX2vjk+/M9cfMEQ7cOJexuGJWtKlOEYueAsffWO3QNfSUFa9DSgHRmRPxlnItbCKNrj8ZKZcXbe9/m98u/59nuZmfBuqCWNPRyQG+QmLo+lGUHrz+50fqDjf/GnizStQiCIAiCIAhCYZXOmh3CM8fLzotsfTbKfJZxSdekozVocbTIv/hRqTu7Fm6HQ9dZ4N6oXEKQ7D1Is6jM7dsZ3E7XcCstm9vpD75upWVzK13D7XvPZ+seX5irir0Fy0Y3pXZVu7znkSR+v/w7X5z4AgulBd91/C5PD2phzNo3CzsZHJB0jCQLnQzMZHJm75/N0j5LCzy+XqV6rO61mkk7JzHn2Bzi0uKY0mRKrmWEHKzM+HV8cyauPs3+8FvM3nqRuxkapnbzz/9DEefqMOVS2Q4vN7Hwu+HoDXpqOYt6AoIgCIIgCE8jkeCWgLe3NxYWFpw/fx6l0vijbNKkCfPmzWPv3r0kJyfzzTff5Oy/YsUKNm3axKZNm4iMjCQwMJDk5GQCAwMB0Gg0hIWFUa9ePcA4BHzt2rXMmjWLdevWoVAoyM7Opk+fPnz55ZcmuYb76/nKZfLHDkVOzEwkW5+Nvbl9vuuklrrGY8GmMvj3MGmzkiSRqZW4eiv9XmKq4VaamtvpmgeJ672k9VZ6Nlqdjnbyc9iRwV+GVoU6h1wGTtbmVLI1x8XGDB8Xa17v6IebXf5rmi0KXcSi0EV42XqxoNMCfB18i3xdMSkxrAhdgU7S8TUg3cs1NXoNy0OWM6PdDDztPQtsx9PWk1U9V/HWnrdYeXElZgozJjeanGsfKzMlP41qwpR1IWw9G8/3eyK4m6lhdr+6yOX5JLnPcHKr1Wt5/8D7RKdGs7bPWrR6LQFOAeUdliAIgiAIgvAQkeCWUHZ2NsuWLSMoqPhrpIaEhADkJL33HwP88ccfbNu2jRMnTmBpaYlOp+PChQsljPqBxMxEtAYtVayroJDnv4atnbkdCRkJpGvSsTPP2+tYajLvgIU9yBVQs5fJmo1LzuK3Y1GsOxnLrTQ9HNxXqOPkwOeqZajQcULVFkdba1xszKhkcz+BNcfF1gyXhx47WpmhyC/Re4we3j2ISI7g45YfY29evHWWD68bjpskI44Hye19MmSF7sUFcLBwYGm3pXx18isGBwzOdx8zpZxvhzTEwUrF6qPR/HosGk8nKya2r55/o2d+hZvnoOfcIlxV+Vt6binhd8N5td6rjN0+FjcrN9b1WVfeYQmCIAiCIAgPeaYT3P6b+uf7/HedvsPLzovo1Ggm756c7z6b+m8C4FDcIb488WW+2wrjk08+4cMPP2TkyJFYWT1+iZfiio2NxcnJCQsLY4+fUqmkQYMGJmlbq9eSpE7CTGH2xJ5ZOzNjgpuqSS27BNeghzXDQSaHkX+C0qxkzRkkDl29zS9Hoth1KQHDI1NaFXIZTtYPJ6fGxNXlkeTV8UIQ1gc+5+iLaqhjmh7lc7fOkaZJo5V7K3wdfJnfYX7xGzu7nsFxoWShZJw8b7VivaRnb+TeIjVprjDng+Yf5DzeFb0Lfwd/PO0e9AIr5DJm96uLDBmrjkYxLziMlr7ONPB0yNvglWC4uBlaTgIHryLFUl4uJl3kx7M/EuAYwGsNXuOO+g4brmwg/G44/o7+5R2eIAiCIAiCcM8zneA+DRo0aEDHjh35+uuv+fDDD3Nt+/XXX9m7d2/O4zt37tCoUdHmkA4ZMoSlS5fi6+tL27Zt6dChA0OHDsXSsuSVjROzEpEkCTcrtycWkjJTmGGpsiRNk4ZBMpTNMOX98yD6sLG4UwmS25RMLX+cjmX10Siu387Ieb6qvQXDW1TD4k4E/bt3xNHKLP8htY+yGQuHvjAuGVSnf7Hjum/L1S18evhT7Mzt2DZgGxbK/IcuF0pyNPw9BWzcGPPaYcZYuxR8TBHdzrrN9P3TsVJZsaDTAupXqp+zTSaT8dELtTgZdZdL8alMXnOGvye3xcb8kZeZBkONCe7ZddDuHZPHaGoavYYPD36IDBmft/kclUJF3+p92XBlA1sitvBO06f/GgRBEARBEJ4Xz3SCW1BPq5edV4H7tHZvTWv31iWKY/bs2TRr1oyJE3MvwTJ8+PB85+AWReXKlTl37hzHjh3j0KFDLFy4kAULFnDs2DHMzIqf+Kl1apLVyVirrLFR2RS4v52ZHQnaMhqmHH0U9s0Ft3rQ5dNiNXE+LoXVR6PYFBKHWvug4FPbGi6MbFGNTjVdUSrkBAdfxdnGvPAN21QyJrbn1hvXlHWtWaz4dAYdX538itWXVlPZujLfdPymZMmtQQ8bgyA7FQYth1JIbgFcLF34sv2XvLf/PcYFj2Nu27l0rtY5Z7u5UsGCoYG8sOAgUUmZfLz5Al+9/MiIA78uYOUMoWug7VQo7yrdBThy4wgRyRFMCpyUM+e2oWtDPG092XptK283fjvf4myCIAiCIAhC2RPLBJmAt7c3w4YN47PPPiuV9hUKBa1ateLdd9/l0KFDXL9+nfPnz5eozYTMBIACe2/vszezx8nSKWeNXFOLSYkh4PsAYhPOw4bxoDCHQctAVfikL1un588zsby48BAvLDjImhMxqLUG7CyUjGvjw+6p7Vk1rjnd6lRGqSjBr37T8cZ/Ty4r1uHJ6mQm7pzI6kuraeTaiDW911DHuU7x4wE49K2xx7tZENToUrK2CtDBswM/d/8ZK5UV/9n7H1ZfXJ1ru5+rLTNfMF7PhtOxbA6Jy92AQgX1XoKkKxB3ulRjNYX2nu1Z1XMV4+uNz3lOJpPRp3ofktRJHL5xuByjEwRBEARBEB4muh1M5KOPPqJWrVqoVCqTtnvy5EkcHR2pXt1YsOfy5ctotVo8PQuugvs4BsmAQTJgb26PpapwQ51VChVVrKsU+5wFmbVvFuFJ4Vz5YzQeKTHwwjdQqXAVamPuZPLb8WjWnojhToYm5/k6Ve0Y1bIafRu4Y2mWt4DW0fijHMw4SIvsFtib25OmSeNo/FFUchUquQozhVnO93VcjAlbpjaTdGcfVO3fxaxmH1R6DSq5qkhrBe+J2cOx+GO87P8y05tNR6Uo4e+MJEHMMahUE7oWr8e7qOq61OXXXr/y2s7X+N+J/9HQrWGuJH1oM0/2h99i+4WbfPTneRp5OeLp9NAc9QZD4NhiCP0dPBqXScxFpdFr0Et6LJWWBLoG5tnet3pfDsQeQCkTL6OCIAiCIAhPC/HOzERcXFyYPHkyM2fONGm7SUlJvPHGGyQnJ2NpaYlCoeC3336jUqVKxW5TLpPjbeeNhFTwzo8wSAb0kh6V3HSJ/P1lbQAGJ50lrN3HODYe8+Q4DBL7r9xi9dEodl1ORLp3KWYKOb3rV2Fky2o09HR4bOJ5O+s2r+18DZ1Bxzj1OOzN7YlLj2PK3il59lXKlJwZdQYwJqfTD0w3bohem7NPLadaORV1fz7/M2svr0WlUOUkyCqFijZV2/Ba4Gv09+uPu407zao0K8JP6QlkMhjyO2TehkJ+YGEKHrYerO61mgNxB/L0QMtkMuYOrEdobDLxKWreWnOGdUEtH/ScVwmEvt+bfOknU1oYspCd0TtZ0nUJ7jbuOc8npqrR6A14OLrzW+/fyjFCQRAEQRAE4VEiwS2ByMjIXI9nzJjBjBkzAOjQoUOe/ceMGcOYMWMA47Dm5OTkXNvze6579+50797dRBGD1qBFKVMik8mQUbS5j3qDnit3r2BtZo2nbfF7kB81a9+snMJVKXI50zKiWfqYxDQ5U8Mfp4xFoyKTMnOed3ewZHgLLwY38SzUnNoN4RvQGXS8YPsCla0rA1DFugpftPsCrUGLRq9Ba9Ci1WsxSA/m8Fazq8bwWsON23VqtMlRaGzdcvVuWymtcLRwNB5v0JKlyUJr0HJHfQcwJn8mS26v7QOfdiCXg42radosAntze17wfQGADG0GX574ksmNJuNk4YSDlRlfDw5k6I9HOR2dzHe7rjCl271eeZkMGo0s83gL6+ytsyy/sJyaTjVxs3LLef7CjRQGLzmK3iDx73/a5fRKa/SaUhu+LwiCIAiCIBSeSHCfIwbJwPWU61goLPC09SzSsFoAhVyBudKcdE26yaop3++9XapXcgNzZuiyWR6ynBntZuBp/yCJPhebwqqjkWwOuUG27kHC2d6/EiNbVKNjTddCrzerM+hYH74eV0tX2lq1zSnuZG9uT0+fnk88tq5LXeq61DU+CP4QTm2FsduhWsucfYbUHMKQmkMK+yMovsv/wJqh0O5d6PRR6Z+vADujdrLhygZOJpxkRY8VuFi60MLXmTc6+rFgdwTf74mgtZ8LzX2dHxyUEgdxJ6F2v/IL/BHZ+mw+OvQRCpmCz1t/nlNAKvZuJmOXnyA9WwfAysORfNi7FpN3TyZFk8IvPX8pz7AFQRAEQRAERJGp58pd9V20ei2WSssiJ7f32ZnZYZAMpGnSTBLTrH2zCETBWMyoixxJZhxCPXv/bNRaPRtOxdLvh0P0+f4g607Gkq0zYG+p4tW2Pux9pwMrX2lGl9puhU5uAfbF7iMhM4FBAYNQyPLOzS20RqOM/574qfhtFFdaAmx5AywcoPHYsj9/Pvr59WN6s+lEpUbx+q7XydAal2Wa3LkGDb0cMEjw9toQkjMfzJNm8+vwxzjIvFNOUef1w5kfuJ5ynUmBk/Bz9AOMy02NWX6CxLTsnHEPa05EkanRY2Nmw5nEM0SmRJZbzIIgCIIgCIKRSHCfE3qDnltZt1DKlThbOhd8wGPYmRmXCErVpJY4pvu9tzP0xl/DmWQDYNA6suG4nuZzdjB1fSihMckA1HO354tB9Tn6fmc+7F0bbxfrYp33UtIlVHIVA2sMLNkFVAoA77bGNV3TE0vWVlFIEmyeBJlJ0OdbsHcv+JgyMrzWcF5r8BoXky4yZe8UtHotKoWc74Y0xNZcSXyKmukbziHdnzTdYAgYtHB+Q/kGfs/52+dZeXEl9VzqMabOGADUWj2vrjpJRGI65ko5gbUOYyCT9GwDG0/H0rd6X8C4prEgCIIgCIJQvkSC+5y4nXUbvUGPq5VriYYWqxQqrFRWpGnS0Bv0JYpp1r5ZNJPk9EXFerSEGxpSKXsmVbN/xFY7gJQsPWZKOQMaubPp9dZseaM1LzfxzLciclG80fANdr20C1crE8xZbTremKCdLsPhqcd/hIid0GCYcU3ep8xrDV5jYI2BHL5xmB9CfgDA08mKz140Du3efuEma07EGHeu+QKorI1r4j4F/B39GVd3HJ+1/gylXInBIDF1fSjHr99BJoOZ/TzZGv0F6YpdAPx0MIImrk1xs3Jj67WtueZrC4IgCIIgCGVPJLjPAa1eS5I6CXOlOQ7mDiVuz87MDqVMidagLVE7+6L28bFBiQGJb7Qv46b5FCtDM2TI0ckSUNj9xdH3OzP/5UACn1ARuTgcLRxN01DN3mBbBU4uhxIm/IWiy4bD34FDNej5v9I/XzHIZDI+avERr9Z7NacXFKBfoDsDGhl7mz/96wIRielgbgO1+xrn4d6+Uk4RP2CmMGNyo8n4OvgC8N9tl/j7bDwAn/atw974b6mDAn/lZgCikrI5fO0ufar3IT4jnhM3T5Rb7IIgCIIgCIJIcJ8bdmZ2uFm5mSRJdLRwpIZjjZziTMUVPv4Y3RxrcMW1F3H6lwBj0aifxzQh6vOxXP1gMU7WpqtMm6XLYvS20QRHBpusTRQqaDsVmr4Cek3B+5eU0hzG74Ihv4GFXemfr5iUciWTG03GwcIBgNi0WABm9atLNWcr1FoDk38/Q7ZObxymDOXai3s64TSfHP4k19zy5Yeu8+OB6wAEtfelY20F20NWEKI356gsE7XcmMwu2nuJvtX7IpfJuZB0oVziFwRBEARBEIyeiwQ3JiWGgO8DiEmJMWm73t7eBAQEEBgYSK1atRg2bBgZGcbCOitWrKB///659t+7dy+BgYFkZmbi7+/Pv//+m7MtOTmZatWqcfTo0UKd++TJkwwePLhQ+6oUKjxsPbA1sy3chd0jk8nyLFsExiJQJulNtXQkuOMWXo5+EYDhzb1YMbYpnWoWrWhUYW2/vp3Tiae5nXXbtA03e9WY5Jb2GrQZ9+K2dYPKdUv3XCa07fo2+vzZh23Xt2FjruS7IQ1RymVcjE/lf9vCjPOY67wIVQPLJb4sXRYzDs1g67WtOb8b28/HM2vrRQD6NKjKtO41mbVvFncfGt7vpfwDgKPX0pA0ldj10i5eqftK2V+AIAiCIAiCkOO5SHBn7ZtFeFI4s/fPNnnba9euJSQkhAsXLpCSksKKFSsKPMbKyoqVK1cSFBRESkoKAG+++SYjRoygRYsWhTpvkyZNWLt2bYH7pWnSSmVeoEavITYtltTsYhab0mk4H5fC2+svkoINrao780nfOiYdhvyotWFrsVRa5hQFMrn0W6VXbOraPvi6LpzfWDrtl6IGlRrgZOHEBwc/4Fj8MRp4OjD13nq4Px+6zp4rSfDSCqjVp1zi++70d0SnRfNmwzfxsffhZOQd3loTgiRBcx8n5r1Un7i0WFaEriDDoKEnxvWXW8mvoJUZPzT7fu95XCxdyiV+QRAEQRAE4YEKn+Der9QLsDxkucl7ce/TaDRkZmbi6Fi4uZ0tW7ZkyJAh/Oc//2HLli2cO3eOjz/+OM9+WVlZDB48mNq1a9OgQQO6desGPOgNvm/JkiX4+/vTqFEjZs+ejUwmI0ObQXRqNAq5gjlz5tCsWTN8fHxYvnx5znHvvPMOTZs2JTAwkHbt2hEWFlao+GUyGSnZKaRkpxRq/1wkCc3PvYlcNposrQ4fF2sWDm+ESlF6v47nb5/nQtIFevv2LnJPdqHcCoOva8PBb0zfduYd+HMiyORQpYHp2y9lVW2qsqjrIiwVlry15y3C7oQR1M6XVtWN1bzfXR/KrTRjBe2cXuoycvLmSVZfWk1D14aMqDWCq7fSGf/LSbJ1BvzdbFg6qgnmSgVLgt9hkcEMWwkOokOHRAcUpCr/AmDzmQRS1VrWha3j86Ofl+k1CIIgCIIgCA9U+AR31r5ZOVWD76+vakqDBw8mMDCQypUrI5fLefnllwt97KeffsqpU6cYP348v/zyC2Zmeeebbt++neTkZC5evEhoaChr1uSdp3j+/Hk++eQT9u/fz+nTp9HpdAAkZCQgu7dqp7m5OcePH2fbtm1Mnjw5Z59p06Zx4sQJQkJCmDRpEm+99VahYlfJ71VT1ha9mrLmcjBmN46TrJFjZ6Fi2egmOFiZbq5tftZcNv7cBgcUblh3kbn4g6MPhKwGTabp2pUk2PofSLthLCrlXN10bZchf0d/vu30LRq9htd2vkZ85g2+HhyIo5WK2+ka3lkfirTpdfg20LQ/vyfI1GYy49AMLBQWzGo1i6QMLaN/Pk5yphY3O3OWj22GvaUK9FpeDtvJK5KCBjIlmXI5JzHQHiXZir0YSEdvULL+ZCxH44+yNmwt8enxZXINgiAIgiAIQm6FSnAnT56Mt7c3MpmMkJCQnOevXLlCq1at8Pf3p2nTply4kLfAyvLly5HJZGzatMlUMRfa/d5bzb3iPxq9xuS9uPeHKN++fRtvb2+mTZsG8Nihtg8/b2ZmxuTJk2nevDn169fPd/8GDRpw6dIlJk2axNq1a1GpVHn22b17Nz169KBy5coAvPrqq4BxbuH9asHDhw8HoGbNmiiVSm7evAnAjh07aNmyJXXr1mXWrFm57m9B7M3skSSJDF1GoY+RDAZubvqIbEnFIsOLLBrRGN9KNoU+vjiy9dnsjd1LYKVAajrVLJ2TyGTGJYPUKaZd0zV0DVzcZBy+23CE6dotB00rN2Vu27ncVd8lNDEUNzsLvhhk7JHeF36LI5lVQZMGYf+USTwp2SnYmdvxVqO3qGThwbgVJ4m9m4WNuZLlY5rh7nBvTvX+edTX65C3/g8HPtain6mnxav7cZwciubjdCa0qQfAysORvODTBwmJv679VSbXUFGkZKdwKuuUWGZJEARBEIQSK1SCO2jQIA4ePEi1atVyPR8UFMSECRMIDw9n2rRpjBkzJtf2yMhIfvzxx0LPKzW1h3tv7yuNXlwApVLJwIED2b59OwCVKlUiKSkp1z63b9/G1TX32qsKhQKF4vHruvr6+nLx4kV69OjBoUOHqFu3Lnfv3n1iLBISYLzWSlaVALCweFDxWKFQoNPpiI6O5o033mD16tWcP3+eNWvWoFarC33NtubGob5FmYe7dd2PeGVf4Vd9Z17r247WfqU/b9FcYc7fL/7Np60+Ld0TNRhsXNP1xI/GnteSyrwD/7wLNpWhz3fGJPoZ1827G1sHbKWXby8AutZ2Y2QL4+vKfy5UR5IpIfT3Momlik0Vfu31Ky/7D+H1305zLi4FpVzG4hGNqV31XoXq2FOw/0twqwcdP3hwsHsjcPIBmYxRLb2RySD6TibaNH+cLJzYcnULkil+B54TMw/N5PeU39kcsbm8QxEEQRAE4RlXqAS3Xbt2eHh45HouMTGRkydPMmKEsVdp4MCBxMTEEBERAYDBYGD8+PEsWLAAc3NzE4ddsEd7b+8rjV7c+3bv3k1AgLF4TvPmzQkLC8vpEc3OzmbZsmU5c2gLKzY2FplMRt++fZk3bx6SJBETkzv2jh07EhwcTGKiscDRwqULAXCxdEEpVz627ZSUFFQqFVWqVEGSJL7//vsixaaSq7BWWZOuTS9Uz8tfIbHUuLiALMmMOw1fZ0SLagUeYyr25vY5a5uWGgt7qP8yxIdC3KmSt2flBIOWwYClxu8rCHcb41q4yepkvj39LdN61sDfzYYEvS2HFY2Qru6GtJuldv5MbSZ7ovcAoJApmLn5InvDbgHwxaD6tKlx70MXTQZsfBXkCuM9UD7yOpYcA9f24eVsRZdabgCsOhpLL59eRKVGEXortNSuoaJpWrkpAMsvLC/ylAdBEARBEISHPT77KUBMTAxVqlRBqTQ2IZPJ8PLyIjo6Gj8/P+bPn0/r1q1p3LhxgW3Nnz+f+fPn5zxOTk4mODj3WqWVKlUiNTUVubxw04Y/2vlRzvzTR8mQMWPnDL7t8m2h2sqPJEkYDAZeeuklLCws0Ov1eHp6Mn/+fFJSUlAqlfz8888EBQWRmZmJwWCgS5cujB49OqdyMkBmZiZarTbXcw87evQon376KZIkodfrefnll6lWrRrR0dHo9XpSUlLw8vJi6tSptGzZEhsbGzp36YydnR0qrSqn3ZSUlJzh0ZIkkZqaSrVq1XjxxRepVasWTk5O9O7dG0mScsXy8HH5sZassVJYEauOZefOnY/dLzJV4uczd/lOac1WVXdqW2Xmucel4armKhHZEbS2bo2NPO9QaLVabdI4bLS1qWtdnctHDpJsl1TwAY8jGYxFpQBQw5XS/1mVtW1p29iVsYuzEWcZ7DmI/96CVZmtaG12nMt/fEZU1cJXVS7KfdyQsoEjWUcY5ziOa/EBbLlu/HCmn48c61sXCA42TrUwz06iYTbEewwmKiQGyP3BUvNzH2KddYPdTZdR1wx2AAcjblPP3pggL9y7kIH2Awt9Dc+zSlSivXl79qXsY96WeQRaBpZ3SEIxmfo1VSgf4j5WDOI+PvvEPSwemVSEcXTe3t5s2rSJwMBATp06xbBhw3JV3W3WrBlz587F1dWVV199lf3796NSqejQoQNvv/12nnVhH8fDw4PY2Nicx3q9nvDwcPz9/Z84nPdh/gv8uXr36mO3V3esTvib4YVqKz8pKSnY29sX+3hTS0tLw9bWOGT422+/Zfv27Wzbtq1Mzl3Q/YlPyaLf94dITMvGr5I1Gyc2w87aqkxie3P3m+yL2ce2gdtyeg4fFhwcTPfu3csklkKLPQl/vW3sNXSrXd7RlBqtQcubu97k0I1DBNUPwk79Ap9tDuGQ+WTS/AfiO/zrQrdV2Pt4NP4or/77Kk0rN6WH08e8t+E8AEObeTHnxbp5P8zRa0GmgPw+WNvxMRz6BoL2I1WuT49vDhCWkMaw5l60bhBNG/c22Js/Pa8RTyNJkriRcQN3G3c2btvI3DtzcbdxZ0PfDXmmlwjPhqfyNVUoMnEfKwZxH5994h7m79Fc8VHF7sH19PQkPj4enU6HUqlEkiSio6Px8vJix44dREZGUqNGDQBu3rzJhAkTiI+P57XXXivuKYukJMnrs2j69OkcPHQQdbYaT3dPli5dWmbn1hv0ZOmyyNBmYKewy7UtU6Pj1V9OYkhLxMHSmWVjmpZZcnsj/Qb7Y/fTzqNdvsltqctOA/MiLkmUnW4cFpsSB1TsOZwquYr5HebzSvArLDm7hI+aV6JdLV9aX/oOiyuWbEvOelDoyQTSNenMPDQTS6UlL1R5m/fWGHtqO9V0ZXa/h9ZgzrwD1/dDnf6gyFvULYdPW2OCG3kQWZUGjGntzfsbz7HxdCzvde+KvXnpVgavCEJuhTBq2yg+aP4BTnInhtQcwtlbZ7mrvouzpXN5hycIgiAIwjOo2B+Ru7q60qhRI1avXg3Ahg0b8PDwwM/Pj9dee434+HgiIyOJjIykRYsWLF26tMyS2+fRDz/8wLaD29h4YCN//vMnvr6lPN/0IanaVO6q73Ig7kCu5w0GiSlrQ7kcd4eN5h+zx30x1ZytyyyuP8L/wCAZeDmg8Es3mcz6sbC4LRiKWBV2+3S4cw26fAJudUoltKeJlcqKHzr/gJetF3OOz2FgmwwcbG1IVev4z5oQ9AbTJflfnfqK+Ix4hvpNYsYfN9AZJOp72PP9sIYo76/BLEmw9W1YPxoiDz25Qc8Wxt7dyIMA9A90x8FKhVprYO2JGGLTYtl6bavJ4q+I1oatBaBZ5WYAvNnwTVb0WCGSW0EQBEEQiq1QCW5QUFBOV3D37t3x8/MDYMmSJSxZsgR/f3/mzp3L8uXLSzVY4fGyddncVd/FSmWFjap0l915lK3K2Eu5Myr3HNz5O8LZfuEmAxUH8JIl4ujfqsxi0ug1bLiyAXcbd1pXbV1m583h5AN3r8PVXYU/5tJfcGYV+HaE5hNLL7anjLOlM4u7LqazV2daezbi68GBDFHsYeqNt1m4+7JJzpGYmcjf1/6mgUsTfttZlQyNHi8nK5aNboqV2UMDWc6ug4uboVZfqFbA76u5jbGactQhMOixNFMwpKkXAL8cieK/x/7Lhwc/5FbmLZNcQ0VzR32HfyP/pYlbE6o7GNd3VsmNPeaSJJGSnX9dAkEQBEEQhCcpVIK7ZMkSYmNj0el0JCQk5FRKDggI4MiRI4SHh3Py5Enq1auX7/F79+4t9PxboXgSMhMAcLNye2JRqNKglCsxV5hz5MYR0jRpAGw6E8f3eyIwQ8sH1lvA0qlMk7bd0bu5o77DywEvo5AXbt62STUeYywSdeKnwu2fGg9b3jT+nPovyn/OZwXmaevJ/A7zsTOzo7WfC5199DSXX+bMnj85FXWnxO27Wrmyousa4q705VaaFkcrFSvGNqWS7UOVkZNj4J93wMYNXvimcMsy+XWFKg2Mw5qBkS2roZDLiEvOopp5OwySgX+ul826vs+azRGb0Rq0eUZYSJLEhB0TmLBjglhqSRAEQRCEInu+3kVXUBnaDNI0adiZ22GlKpv5rY+yUFqgNWjZG7OXU1F3eW/DWQBmVj2JvSYB2vyn6PNRS6CzV2e+aPcFL/q9WGbnzMXBC/x7QHgw3I0qeH9LB6j3MvT5FuyqlHp4T7NfL/3KF7ah3FQo6C/fz1trQkhVa4vdXpomjWydnk/+TOD6TTPMlXJ+Gt0U30oPjXQwGGDTa5CdCv1+AOtCDpHtMA1G/wU2xvWm3R0s6V7HuGTQ8YtVsDOzY/PVzSJRe4RBMrA+fD1OFk508eqSa5tMJqO6Q3UuJl3MM+1BEARBEAShICLBrQDuqu8iQ4arlWu5xWCptEQhU7D5yjaCVp1EozNQz9WMYZp1xh6xpuPLNB6VQkVPn544WjiW6XlzaToOkODkzwXvq7KEXl9A7b6lHtbTzs7MjpvqWwR5VKOF8hQpd5P48M/zxUoSD8YdpPuG7oxd8yvHr99BJoPvhjakcbVHfi9uXYK409DkFajRtUTxj23tA8DJ62k0d+3ElbtXuHzHNEOtK4qU7BS87LwYWGMgqnwKeY2tMxaVXMWS0CXiwwFBEARBEIpEJLgVgLuNO9723pgrzAveuZTIZXJ6+/blUqQjt9M1OFubsXhwTeTVO0O7d8Gs7HqW/7n2z9ORUPh2AucakHH78fskXIBt00CTWXZxPeX6VO/D1MZTuSbX8W5lB7opD/NX6A02nI4rUjupmlQ+PvwxWVodRy4bh6l/2rcO3etUzruzWx147SB0+6zoAZ/+BVYNAIMegCbVHKlT1VhNPO1WIABbrm4persVmKOFI4u7LObNhm/mu93N2o0BNQZw9vZZjtw4UsbRCYIgCILwLKu4Ca6/PygUj//y9y/xKTZu3Ejjxo0JDAykZs2adOrUCcO9qrkdOnTAx8eHwMDAnK/7CzV36NCBTZs25Wnvk08+4e233y70+e/3bMhkMpJvJdO2bdsSX9OTeHt7ExIS8phYIP5qD+IiW2GmkLNkZGPc3T3hxUXQ7NVSjethGdoMPj3yKTMPzSz/nh+5HCYehP4/5L9dq4YNr8LxH+HWU5CQP0VG1xnNSP/BnLawINnzAGBg5ubzXL+dUeg2vjzxJYmZiaTf6ImkcyCovS+jWnrn3kmngZR766g5+YJZMap837lXTCzBuKauTCbL6cXdd96S3t79c6oEC6DVa3O9dj3OuLrjUMqVLApdVP5/y4IgCIIgPDMqboLbvr0xkTUY8n4pFNChQ4mav7+278aNGwkJCeHy5cvMmzcv1xu2r7/+mpCQkJwvUy/UfDf7LjFpMWgNWqpWrcqBA+U3Xy1VrWVPWCIAs/oH0MQ81pg8lLGtV7eSqctkcMDgMi+2lS+VhfHf/N6g75oFiRegw3RjNV4hh0wm450WH9DTtSmnLHVUdk0kU6PnrTVn0OgKXnppf+x+NkVsQpfujza5KX0aVGVa95p5d9w7Bxa2hPizxQ/Wu43x33vLBQG8UL8KztZmaHQSHvpRdPTqWPz2K5il55by0l8vEZ8e/8T9qthUYYDfALzsvMjWZ5dRdIIgCIIgPOsqboI7c2b+SQUYn58xo0TNJyYmolAocHJyynmuUaNGpZ5UGQwG3njjDWrVqkWrJq3o0bYHGrWGyMhIHBwccvbbvHkztWrVokGDBkybNg0XFxciIyMBY0/szJkzadmyJT4+Pnz22YNhmfPnz6dp06YEBgbStGlTjhwpeHjg3UwtaWodAK2bnOab8KGk/tIHVg8w6bUXRJIk1oStwVZlS0+fnmV67ie6tg8WtoD40AfPXd0NR38Az+bQZkr5xfYUk8vkfNZtMct7LOeHgQNQyGWcjU3hqx1hTzwuXZPOhwc+RtJboI4fSHMfZ+a9VB+5/JG/zagjcPAbcPYD11rFD9SzOciVcP3BB0wWKgXDmxuXDFp1NAqt3sCN9BvFP0cFoTVo2RC+gRRNSqFqBnzU4iM+b/M5FkqLMohOEARBEISKoOImuJ6eMGYMmJnlft7MDMaONW4vgbp169KmTRuqVavGiy++yJdffklcXO45gv/5z39yDVG+evVqic4JEBoayq5du9hzYg8b9m7g7+C/sbSwzLVPYmIir7zyCn/++SehoaHUrFmTpKSkXPskJydz5MgRTpw4kSv2kSNHcuLECUJCQliwYAFjx459YjwZ2TpuJGcB0LmmKy/Wq02GLpM9Ci00GFLi6y2K04mniUiOoJ9fv3KrJp0vCzu4dZn0Q98S8H0AcTfPwaZJYGYLA5aCQllwG88pM4UZDWVWNI5axqvtXVDaXGDJvmscvPL4ec03kyVSbnRGfbM/NZzdWTqqCebKR5aKUqfCnxNAaXHvHuQtdFRo5jZQtRFEHc6ZhwswvEU1lHIZCanZBG17n95/9iZZnVz881QA+2L2cSvrFoNqDCrU8l33PzDUGrRiPWFBEARBEAql4ia4YOzFNTwynNFgKHHvLYBcLmfDhg0cPnyYHj16cOjQIerUqZOzRjDkHaJcvXr1Ep/X19cXnU7Ha6++xtZ1W7GWWyN/ZM3Uo0ePUr9+fWrWNA7JHD16NGaPJPrDhg0DwMXFBV9fX65fvw7AmTNnaN++PXXr1mXixImEhYWRlZWVbyzZOj1RSZlISJgpZPxvUD26uDZCKUkEO7hA/bJNcNdeXguQZ13Ncle1Ibg3RnVhEwm3w1l0YA5YOkKvL8HRu7yje/qdWgm7ZxOhnoelx68obC4zZV0ISel5h60mpqkZs/wEqbca4kxzlo9thr1lPslr8PuQHA3dZoNLjZLH6N0GslPg5rmcp9zsLOhd37jkU/QNV3QG3XO/Ju7asLUoZUoG+g8s9DHZ+mz6b+rP+wffL8XIBEEQBEGoKCp2gvtoL66Jem8fVrNmTYKCgti0aRMtWrRgy5bSrZZqb2/Pv0f/peeAniRcT6BBgwa5kurCsrB4MORPoVCg0+nQaDQMGDCAefPmcf78efbv3w9AdnbeREJvMBB1OxOdwYBSJsfZxhwrMyUOp36heZaaI2YyUnSFLwhkCi8HvMzrga/jY+9TpuctjKQ6AzCX9IzGjP9d/oOYIb+WeQ/3M+vez+lDHLAzt8XK/Vdua68wbcPZXMWHbqQm0WdtEHHpsdiYK1k+phnuDpZ524s5AWdWQ/XOplu+qt5LMHBZng8s7hebirjui4XC8rmuphyVGsXR+KN08uqEi6VLoY8zV5gT6BrIsfhjnEk8U4oRCoIgCIJQEVTsBBdy9+KaqPcW4MaNGxw6dCjn8d27d7l+/bpJemmfJDExkdS0VLp268q8/83D29ubixcv5tqnRYsWnD17lrAw41zF1atXo9EUXPBJrVaj0Wjw8jLOHVywYEG++0mSRPSdLNQ6PTKZjGrOlijkMuNyOMcW011uj04ysCdmTwmvtmiaVG7CxAYTy/SchTUj8RQA32KBHDmzD82Fp6EI1rOgcj1wrYPPpWAWdfwWlVKOpecKdl29wKqjUQDoDRJDN04nU3UaM+soFo9oTO17S/Xk4dEEXlwC/X4w3T1wqw31BoGlQ66nAz0dCPR0AMkMR5pwIekCV5NLPlXhWXQx6SLmCnMGBwwu8rHj641HLpOzJHRJKUQmCIIgCEJFUvET3Pu9uGDS3ludTsesWbPw9/cnMDCQtm3bMnr0aPr165ezz6NzcH/99decbePHj8fDwyPn634xp2XLluV6fv78+bnOGxsbyysDX6Ff237Uq1ePunXr0rNn7oJKrq6u/PTTT/Tv35/AwEDOnTuHjY1NriJU+bGzs+Ozzz6jWbNmNG7cOM+w5vviU9SkqbUAeDpaYml2bw6p0hxavUmnNh+glCm5cPtCoX6WJaUz6Dh84zAGqeDquuUhJiWGH8+t5nOyMSDhrdexPGQ5MSkx5R3as0EmM/biqpOpfyeObzrOR6FUY+X5M59tP8blm6ksun6WO7Kj6NJqMafrGNrUyKeHUJKMc2Tvt2dXxbRxShLcCs81DxdgbGtvACIjawOw+epm0573GdHTpye7XtpF08pNi3ysj70PPbx7cOjGIc7eKkHFa0EQBEEQKjyZ9BQuMOjh4UFsbGzOY71eT3h4OP7+/igUBRcmySMmBrp0gZ07TZbgpqSkYG9vb5K2Cktn0KGQKQpVqTktLQ1bW1sANm3axPvvv8+lS5dKHENSRjZxd41zcl1tLahsb5Hv/UnMTCxUlVRT2B29m7f2vMU7Td5hdJ3RRTo2ODjY5Ms3PerVLa/yy9lf0Os0VEZGnEzCTGHG6AajWdpnaameu8JIjYeva4N/Txj6G2svb+B/B9Zw5/pQbC3A4P4lMpmeUV7f816Xx6w5e2olhPwGg34Ge3fTx7jvC9jzOUzYa5x3fY9GZ6DN/3aTmJaFZ72FvFCjA9OaTTP9+Z9xBf0tXk2+youbX6StR1t+6PyYtaWFclcWr6lC6RP3sWIQ9/HZJ+5h/h7NFR9V8XtwwZjUhoWZdO5tWZMkiei0aCJTIynMZxILFiygQYMG1K1bly+++CJX73Fxpau13LirBsDeUoWbnfmDjdosyLqb87CsklswFq5RyBRP19JA98SkxLAidAUavQa9DOJkxnun0WtEL25R2FWBjh9A4zEADK45kJW9lmIms0TrsAG5Mp2G1mN5t/NjegfvXIPt70NKDJhZl06MHk2M/z60Hi6AmVLOyBbVADmZ19/m7UbvlM75n2JT9k5h2bllJWqjukN1BtQYQG3n2k/taA1BEARBEMrf85HgVgBpmjSytFmYK8wL1YP7wQcfEBoayvnz5zl8+DCNGjUq0fmztXqi7hgrJluqFHg6Wj2IQ6c1zr/9M/f817+u/sX3Z74v0XkLEpUaxeEbh+nk1alMk+rCmrVvFjLyv18yZMzeP7uMI3qGtXsX/LvlPKzn7siMF2qC3h7r7Nr8PHBC/n8bBr3xd1ObAf0X5ZknazL318N9JMEFGNrcCzOFnKR0HVtD40vn/E+psDth7IjawfWU6yVu65NWn/B64OvIZeK/LkEQBEEQ8vdMvEu4/6b1KRxNXeoMkoEsXRYJmQnIZXIqWVUq8xh0BgORSZnoDRIqhRxvZ2vk8geJhJR+E5CQtZyU67ht17ex7NyyUl37c33YegCGBDydFYn3Re1DL+mRy+R5vvSSnr2Re8s7xGeLJEF8aM7D4S2q8VWfAbzvOQzVo2vd3nfoG4g5Bi1eB9/2pRebmTW4N86zHi6Ai405fQOrArDgxO/039SfdE166cXyFFkbZly+qzjFpR4nJTuFmxk3TdaeIAiCIAgVh7K8AygMuVyOhYUFcXFxuLm5oVLls65lGTMYDOj1+oJ3LCRJktAb9KgNapQyJRZK4zI+V5OvotEbKyC7WLkgl+QmPW9h4opKykSt1SFHhqejOXKZlBODpMsm6fYtVLoM5NVfzHVsd+/uHIg7wO6Y3QyoMcDksal1av6M+BMfe59iFa4pC+Fvhpd3CBXLjhlweAFMOgauNZHL5PT260Lw1eD8948PhT1zoFJN6Dyz9OPzbmNMpm+ezTUPF2BMK2/+OBVLXHI6SZZX+Tfq31L5u3iaZGgz+Pva39RyqkVdl7omafOO+g69N/amZdWWzO8wv+ADBEEQBEF4rjwTCS5AtWrVSExMJDKycHNQS1tWVhaWlvmssVkE2fps1Do1OoMOrUGbM6/MSmWFg7kDAOmadCQkVHIVd5R3uMvdJ7RoesmZGtKzjcmss7UZMemP9JJlJqG6ewUvH/88S6509OqI8oiS4MjgUnkjn63Ppk/1Pvg7+hdq2LZQAdTobkxwz66BLp8UvL+9J9QdCC1fB5VFwfuXlHcbOP4jJMfkSXDrutvTzNuJ49H1saryF5sjNlf4BHfr1a1k6jIZHDDYZH+jThZONHFrwo6oHVy5e4UajjVM0q4gCIIgCBXDM5PgyuVyKleujJubG5IklXuSu3PnTrp06fLEfSRJIiEzgYjkCK7cvcKV5CvoDXr+1+5/AKw4v4KFZxdipbTCz8GPGo41qOFYA3cX91xv2s7fSGHuP5eBLGzMldhYGL9szZX3HquM31vce2yuxM5ChbWFEltzBUpF8Uai/348mtlbjfPmJnfyY2LzR9b4TbqK7I+ByKu1gC55lz6xM7OjddXWHIw7SLI6GQcLh2LF8Tj25vZMbzbdpG0KT7lqrY1J69l10GkmyAv43bZyggFlWKnaux1MiwR5/sOlx7T25njkHTSptTnNaWLSYvC0fXaL3xXk36h/sVHZFFgAbl/4LZZd1FOrSSZezlYFthvUIIi9sXtZenYpX7b/0lThCoIgCIJQATwzCe59Mpnsqemte3jJokxtJleTrxLgFICZwozzt88zYccE0jRpOfvIkFHdoToyuQy5TE4//3508+2Gu437Y4umZOv0/GftWa7dzih2nBYqObb3kmBbCyW2FipsHv7eQomdRe5tt9Oz+fivS+gNEn0bVGVSpxp5f+7OvvDCfHCt9dhzd/fuzr7YfeyK3sVA/4HFvoZHJWUlYa2yzhnKLTwn5HKo/zIc+AoiDzx+Tu21vRB9DNpOBUUZvswVcK5utd2oam9BQnIjlHah/HX1LyYFTnriMc+yRV0WcSX5Claqxyetialq3vjtNGlqiXErT/Dn662xMX/yz7GuS13auLchODKY1xq8hq+Dr6lDFwRBEAThGfXMJbhPA0mSOK8+z/XQ64TfDefK3StEpUYhIbHmhTXUca5DZevK1HCogb+jP/5O/gQ4BuDn4JfrjZ6LpUuB51q45yrXbmdgppDzZic/1Do96WodaWodqWod6dla0u49TlMbv9cZcvduq7UG1NpsbqVlF/laAz0d+GJQ/fw/VFAooeHwJx7fwbMDUxtPpbV76yKf+0m+Of0Nu6N3s7n/5kL9HIUKpP4QY4Ibuib/BDfrLmyaBOoUaDAEHKuVbXyJl+HMKmg4Is+HP0qFnJEtvfnf9kzQ2bEnem+FTnDNFGbUca7zxH0+3nKBNLUOgCuJ6UxdF8Ki4Y1zFbLLT1D9IA7GHWTpuaXMbTvXZDELgiAIgvBsEwluMchkMv5M/ZOUkBRkyKhmV42u1bri7+iPo7kjYExeV/ZcWaLzRCSms2jvVQBe61CdNzsXPNdMkiSydQZS7yW76Q8nv9m5E+F0tY60fBLkNLWOLK0eXxdrlo5qjIUqn+GWR36AGt3A5ckx2ZrZMqbumOJc/mOlZKew7fo2ajnVEsnt86iSP/h2AAu7/Lf/8y6kxkHfBWWf3AKk3YAj34Nt5XxHNwxt5sm3u8LJiH6F/nVLsapzObqrvssPIT8wrNYwfO0f37v674WbbDtvrIbc3E3GsQSJ4AsJ/LAnosDXu0DXQAbWGEiga6ApQxcEQRAE4RknEtxiesn+JTq36kx1h+pYKktWbCo/kiTx4Z/n0OgN+LpYM6lj9YIPwph8W6gUWKgUuNoW//w6vQGF/DHDwW+cgeAPIPoIDF5dqPaSspJIyU4xyVDCTRGbyNZnM7im6ZYdEZ4xIzflKWoGwPkNcG49BPSChiPLPCzg3nq4Krh+AFq9mWezg5UZLzZ05/fjBlYducGwZtWfmmkXprIpYhNrw9bSyLXRYxPcNLWWmZsvANCllhuD3G5Tq7onKw5HMn9nOHXc7ehU0+2J5/mk1SemDl0QBEEQhGdcoaoPTZ48GW9vb2QyGSEhITnPX7lyhVatWuHv70/Tpk25cMH4ZkWtVtO/f3/8/f1p0KABXbt2JSIiolQuoLzUNK9JXZe6pZLcAqw/Fcux63cA+PzFepg/bo3PUqJUyB//pnv354AMOrxfqLbUOjU9N/bkv8f/W+K4DJKBdWHrcDR3pFu1biVuT3hG3f/dNBgePJd6A7ZOASsX6PNd/glwWbi/Hm70EdDr8t1lTCsfAMLvRDBl52yydFllGWGpMkgG1oevx8nCiS7VHl+I74vtYdxMVWNjrmR2/zrIZDI+7F2L5j5OSBK8tSaE64WsPXA95bpYF1cQBEEQBKCQCe6gQYM4ePAg1arlHu4XFBTEhAkTCA8PZ9q0aYwZMyZn24QJEwgLCyM0NJR+/foxfvx4kwZekSWlZzPnn0sAvNTYg5bVncs5oodEH4OIHVB3ALg9eW7dfRZKC5pXac7xm8e5o75TotMfvXGU6LRoBtQYgJnCrERtCc+4kN/g69rciDvJzfSb3Lx5DsztjEOTbSqVb2zebSA71bgebj4CKtvSqrozCusIdt5Yz67oXWUcYOk5euMoMWkx9Pfr/9i/0VNRd1h9LAqA93oEUMXe+EGhSiHnh+GNqGpvQZpax4RfTpKenf+HBPddS75G/839WRy62LQXIgiCIAjCM6lQCW67du3w8PDI9VxiYiInT55kxIgRAAwcOJCYmBgiIiKwsLCgV69eOT2ALVq0IDIy0rSRV2Cf/32J5EwtTtZmfNDr8RWKy8Wez0AmL3Tv7X3dvbtjkAzsjNpZotNn6jJxt3HnpYCXStSOUAGY20JaPIf//g86g46ZYRvgjRNQs1d5R2ZMcAEiDz52l7GtfdClBiJJCtZd+rOMAit9a8PWIkPGS/75/41m6/RM33AOSYJGXg6MaJ77g1MXG3MWj2yMmVKeU3TKYHj8snA+9j4EVgpkc8RmbqTfMOm1CIIgFJu/PygUj//y9y/vCAWhwpJJRVhQ1tvbm02bNhEYGMipU6cYNmwYYWFhOdubNWvG3Llz6dSpU67jRo4ciZOTE99++22+7c6fP5/58+fnPE5OTmbDhg1FvZYypVarsbAw/RI1l+4Y+CbUOOxybC05LSoXbw3b0mCXfo2W56YTV6k95/1eL9KxaoOaTxI/wdvMm4lOE0sUhyRJJpuzWFr3USh9MoOWDqeCUOoy2V/jfa6ZuVDZpjKKx6xBW5bk+mxqxKzhpnNLUmzzfxNjkCRmHNWT7vILKptLfOT6IQ4Kh7IN1MRS9Cl8futz/M38Ge+U/6idrdcN/BVpQCGDj5oqqGpt/Ft+9G/xyE0DKy4ZXwv7+cjp5f3418Lw7HCW3l1KS8uWDLQ33XJkQtGJ19SKQdxHE7h7FzIzIb+32TIZWFmBo2OphiDu47NP3MP8jRs3jtjY2MduL/UiU3PmzCEiIoJdux4/BG/KlClMmTIl57GHhwfdu3cv7dBKJDg42OQxqrV65nyzH8iktZ8zM0c1f/qKzzSqg7tDNdyLUZ121+5d7IvdR+N2jYtV/Vir16JSqIp83JOUxn0Uys6eq250vH2VDlc+5xWFmi6Bo1naZ2l5h3VPX7wL2CPO+hpz9zVGZXuRO1VSGNzw2S6cJkkS1W5Ww0ppRb1K9fJsj0hMI3i/sVf79Y5+jO0WkLPt0b/F7gBbLrDicCRbIg30a9/osUWnukndOLrtKCeSTjCrzSwqW1c26XUJhSdeUysGcR9NICYGfH1Bl880C6USrl0DT89SDUHcx2efuIfFU+zuQU9PT+Lj49Hd+8OVJIno6Gi8vLxy9pk3bx4bN25k27ZtWFlZPa4p4Z7vd0cQlZSJmVLOZ/3rPX3JLYBPu2IvvdLDuwcNKjUo1jxcrV5Lrz97Mf/U/IJ3Fp4LMSkxTLtzHj0SoS6duG7QsDxkOTEpMeUd2gMGPWgfX0DqpSaemGlqY9BZsebynxRhQM1TSSaT0bxK83yTW4NB4v2N9yrDV7JmUke/AtsrbNEpmUzGxPoT0Rl0/Hz+5xJfhyAIQol5esKY0WB2rxbB/U44MzMYO7bUk1tBeJ4VO8F1dXWlUaNGrF5tXCZmw4YNeHh44OdnfNMyf/58fv/9d3bs2IGDg4NJgq3IwhPSWLzPuObt5E5++LhYl3NED5Ek+OttuLavRM308u3FLz1/wd+x6PNOdkbv5GbGTRzMHUoUg1BxzNo3i1C5DHfSOenaGwC5TM7s/bPLObJ7bp6D//nA8cf3KNtbqhjU2JvshD4YbvV7phPckMQQDsUdwiAZ8t3++4loTkTeBWDugPr5r6/9iKIUnWrj3obBAYPp7NW5+BchCIJQEpoMiNgJO2bC0o7Qy9FY7b+6At6yhQCl8fGMGeUdqSBUaIVKcIOCgvDw8CA2Npbu3bvnJLFLlixhyZIl+Pv7M3fuXJYvXw5AbGwsU6dOJTk5mY4dOxIYGEjz5s1L7yqecQaDxAcbz6EzSNRwtWFCu7xr3sakxBDwfUD59E6Fb4dTy+Hy3yZrsqhv5NeGrcVMbsaLfi+aLAbh2RWTEsOK0BVo9BoSZFLOkkAa/VPUi+tUHbSZTyw0BTC6lTe61IbE3PDkYERSGQVnegtDFvLGrjdIysp7DQmpaub+cxmAoc28aObjVOh2C1t0SiaT8VGLj2heRfxfIwhCGQvbDsu6w1wvWD0QDn0Ld66BrQ2MGQN3FMZ33F0tYOxo0XsrCKWsUHNwlyxZku/zAQEBHDlyJM/zHh4ez3RPRFlbcyKGk1HGno05A+phpsz7ucOsfbMITwpn9v7ZZTvH0GCAPZ+D0gLaTil4/wJEpUYx89BMevv25uWAlwt1zJW7VziVcIo+vn1wtCjdggzCs2HWvlnIyH8IvwxZ2f+d5MfMCjyaQNS99XAV+b/cVq9kQ3v/SuwLT+C7w9toUX3IM7cEVlRqFEfij9C1WlcqWeVdounjzRdIy9bhamvO9J41i9x+fQ8H/vtiPaauDyX4QgIL90bwRqca+e4rSRLHbh7Dz8GvWHP9BUEQHkungbiTcP0AxIfC4NUgl4MuCxIvgl8X8G5rnM7lVte4LSAGVqyAQ9nQ0QJaFDw9QxCEknl6SvQ+pxLT1MzdZlzzdmgzT5p65+3ZuN9bBZR979SlLcahlk3Hg23JC7e4WLpwIekC265vK/Qxa8PWAhQ6IRYqvn1R+9BLeuQyOXKZHBmynO/1kp69kXvLO0Qj7zagSYOboU/cbWxrb1SORwiTfcn6i8FlFJzprA9bD8DggLxFsoIv3GT7hZsAfNq3DvaWxSsUN7CxB2NaeQPw1Y5wdl9OyHe/YzeP8eq/r/LLhV+KdR5BECqo4i7bo82CA/Phl/7wv2qwvCfsnQPX9sD992M1X4D3rsOwtdDqDahS35jcwr25uGPgsAb0lhC6BLKSy+CCBeH5JRLccjZ76yVS1TpcbMyZ3iP/NW/n7/qQ2QYzPpHMGS2pHswxLO1ecoMe9v4XVNbQ5j8madJaZU1b97acSjjFrcxbBe4vSRKRKZHUdKpJg0oNTBKD8OwLfzMc/Ux9zpe7nXuux+Fvhpd3iEaFWA8XoF2NSlRVNUeSZKw893QvkfaobH02m65uwtvOm2aVm+XalqrWMnPzeQC61najR92SfUhWmKJTzSo3o4ZjDdaErSlWQTtBECqo9u2NiazBkPdLoYAOHYzve26EwOEFEHPceJzC3DjkOOowuDeGjh/CK8EwLepB0U2F6rGjdACYORN8/aHjR5B1Bw58VdpXKwjPNZHglqO9YYn8FXoDgJl9amNvlbdnIy7uFOPP/sl0ScnHmDPDoHjQi3t0EXxRHZa0hzXDYdt0OPKDceiMKcSdgtvh0GIiWJtuqF937+5ISOyM3lngvjKZjJ+6/8RP3X56OqtKC8KTeDQDucr4hukJ5HIZ41o2QJ9RgxuaM0Ql5987+TT6N/JfUrJTeMn/pTx/o19sv0xCajY25kpm96tb4r/hwhSdksvkBNUPIkuXxaqLq0p0PkEQKpCZM/PvGHCSQ2MFtLwFX/jC0vbw70dw7g/jdrkcxm6D6dEwZiu0fw+8WoCyCFNJPD0hLAw6TAL/HlA5b6V5QRBMRyS45SRLo+ejTcaejXb+lehTv0rene5GolrZhzrIeQc19UhnKFkPKsVaOYGzH2TchrB/4NgiCP4ATj60TMafE+G7hrCyD2yaBHvmwOlVcDui4CA9m8HrJ6DVmya6aqN2Hu2wUFgQHFn4oZj25vYmjUEQyoSZFbx5CgYVvHTNgEYeKDOaIpMZmHfo9zIIzjTqudRjeK3h9PPrl+v5k5F3WH00GoBpPQKobG+aheofLTr1zrrQPDUfulbrSnX76vx26TdSslNMcl5BEJ5x94cKm5mB90NV3JtaQHcziN4LztWh9dswYiN0+fjBPm61QVW81zBJkvj54HU+2XKBTJ3BOIy5vphyJQilqVBFpgTT+2ZXOLF3s7BQyfm8f/49GylHF+GiSedV1Pwk0z7YoNezPGQ5M9rNwLPBkHvP6SAtHlJijW+q77NyNhaIijsD1/c/eL7H/8DlXqGDxW1BrgB7D7D3NP7rXANqdH2wjwlZqaxo69GWPdF7SMlOeWzyeirhFAtDFvJOk3eo5Zz/8G1BeOoVct1oG3MlA2r1YMOtPzgQvx2D4S3k8qd/1IK3vTfTm03P9Vy2Ts/0jecAaFzNkeHNi7d29uM8XHRq+4Wb/LAnd9EpuUzOhPoTmHZgGqsuruKNhm+Y9PzFkhwDCechoGd5RyIIz68P3oWU36C6OXyRBgYgVAszFkPjvmBh2g/TdXoDH/x5jnUnYwHQ6g18/uK93tvbV0CvNSbPgiCYlEhwy8Gl+FR+OnAdgLc6++PpZJXvfu9qkrgk13BQ0ubZlqdSrEIJDp7Gr4d1//zB9+oUYwKcHAOVAozPSRKY28LdSGNFwPtrWFq7Qo//Qr1BJbnUx3q70dt80PyDJ/bMrr28luM3j2OuNC+VGAShTGjVEPY3WDiA35PXaB3Xyp81K5ujlWnZeTmObrU9yibGYgq9FUqAYwAWytw9G4v2XiUiMR2VQsbcAfVKJVEf2NiDc3EprDgcyVc7wqld1Y5ONd1ytnf37s6lO5fo7dvb5OcusozbsLwXpETDsPXg3628IxKE509qPOyYALWVcFkPMoy9uX1GQ+uRJj+dWqvnrTVnCL7wYMrJr8ei6VLbjY6eSljcBirXh3H/5ix1JwiCaYghymVMb5B4f+M59AaJmpVtGd/WJ/cOMSdg6xQw6NkbvZ/DaHOqwz78VaxKsRb24FYHAnqA073zymQw9h+YchE+SoS3zxnnmnT7DFweU1HQBLzsvJ64hMftrNvsiN5B88rN8bX3LbU4BKHUSQbYGGScM18AL2cr2jqPJTuhH6uOxJVBcMWXoc1gwr8TeGNX7t7RiMQ0Fu65CsBrHfyo4WZbajE8qeiUQq5gapOp+Nj7PKGFMqDXwvoxxuRWroLt00CXXb4xCcLz5kYI/NgJbpyBwCDYkA16jAWmZsww+enSs3W8suJETnL7dpcatK1hfM8z7Y+zJGMDDUdC7HG4uMnk5xeE551IcMvYb8eiCIlJRiYzrnmrUjx0C67tg1/6QejvcDs8T6XYR79MXilWoQIHL6jWChoMNpa5L0WJmYmsvLCSxMzEPNs2XtmIzqBjcM28y44IwjPl/nq40ffWwy3A2NbeAByIuMnlm8mlG1sJ/H3tbzJ1mfTw6ZHznMEgMX3DOTR6A9UrWfN6x+qlGkNhik5pDVr+vPIn6Zr0Uo3lsWQKYzXt5hOh04dw5xocW1w+sQjC8+h2hHFpn8wkGPAT9P/COBcXYOxY49xcE7qboWH4j0c5fDUJMC6P9nYXf74YVB9bCyWJadnM2HwBOkwHczvY8bH40EsQTEwkuGUoIVXNF9vDABjRvBqNvBwfbAwPhl9fArkSRm4C14o/5/RM4hnmnZzHjqgduZ7XGXSsD1+Pq6UrHTw7lE9wgmBK3m1Bk26cBlCAVtWd8fKIxsZvDvP2bymD4IpOkiTWhq3FWmVNL59eOc//djyak1F3AZg7sD7mSsXjmjCZgopObb++nZmHZ/L75XIq3CWXG9/I9pgLLV6H9tOh0ajyiUUQnkfO1aHpOGMF5PovGZ+bOdO47q2Je2/jU7J4ackRQmNTUMplfDM4kNH31u+uYm/J7H51Afgr9AZ/RWig7VRIjoJjS0wahyA870SCW4Y+/esCadk6XG3NebdHwIMN5zfAmmFgbgNj/gKv5uUXZBlq694WS6VlnmrKF5IukJiZyCD/QajkeZdOEoRnTs56uAUv4SWTyRjSoAkyZSZHEoNJycw7B7+8hd4KJfxuOH18+2ClMtYQuJmi5n/bLgMwrLkXTb2dyiye+0WngJyiU/f18OlBVeuqrLy4kgxt3nVzS03MCePQZHWq8bFMZlxWpOP7YOn4xEMFQSghrdq4dq1ea/zb6/aZcWWI++4v22PC3tvrtzMYtOgIEYnpmCvlLB3VmP4N3XPt0y+wKr3qGdcDn7H5PAm1x4C9F+yf9+C1QhCEEhMJbhnZdSmBf87dBOCTvnWws7iXuGkyYPsHxqJOY7dDlQblGGXZslJZ0c6jHWcSz3Az42bO8w0qNWDbgG0MqTmkHKMTBBPyaAoKM4g8WKjdxzZvBFnVkVlfYOWxi6UcXNGtDVsLwOCAB1MIPt5yPucDvOk9az65gZRYuLAJDsyHza/D8l40Pf8x3AordkwDG3sw5l5PyVc7wtlz2Tj1QSVXMb7+eFKyU3LiLnWp8bB2BIRtN/bOPEqTCbs/M05LEQTBtNITjUsj7pgJZ8pmLewLN1J4afFh4pKzsDVXsmpc81xF7+6TyWR81r8eLjbmJGdqmbY5HOmFr2HwKrCwK5NYBeF5IBLcMpCRrWPm5gsAdK7pSs+6lR9sNLOGkRvhlW1QqfSKOj2tunt3B2Bn1M5cz1e1qYqjhejlECoIMytoNBqqtSzU7pZmClq4dkcm17Pq3GZ0ekMpB5hbTEoMAd8HEJMSk+/2AMcAevr0xM/RuIzY9vM3c4qpzOpXBzspA+JOw7k/YN+X8OdrsGb4gwYu/w3rR8OuT+HMakg4j0NaGBz8ukRxP1x0avKaMzlFp/pV70dl68qsvLCSTG1mic5RIF02rBsJ6Teh3/dQuV7efTJuweEF8M+7xh4mQRBMI+GCsZhU7HFoNdn4ulvKjl+/w5AlR7mdrsHFxozfJ7Sgmc/jR7A4WZvxv4HG14W9Ybf4/Y4/+LYv9TgF4XkiEtwy8PWOcOKSs7BUKfi0Xx1kYOy5iDlh3MGtDjh6l2OE5aeNe5tcw5RXXVzFb5d+Q2sQb/qECqb3PON8q0J6r+1LSAYVGapj7LyUtxBbaZq1bxbhSeHM3j873+1j6o7hiybTIfYUmad+J2rjTBxJpVttN3o43YT/VYMfO8KGcbDnMwj9DWKOPUjm/LoYi72M3w3vXYfp0ZysMxP6fFuiuB9XdMpMYca4uuO4o77DH+F/lOgcTyRJ8PdUiD0Brd96/DJrjtWgzRS4HSbm3gmCqYRth2XdIO0m9PsBus0GeenWAdh9OYGRy46Rlq3D3cGS9RNbUde94LV0O9dyY0hT4/Doz/6+SFRSBlw/ADs/KdV4BeFJ9AY9aZq08g7DJMQ6uKXsfFwKPx8yrnk7tZs/Hg6WxmEzh78Dn3Ywastzvf6ZpdKSoPpBOFk4odapWRy6GGdLZ4bWHFreoQlC6ZCkQv3N16jkgquiKQmqi/x06AI9Hh75UYpiUmJYEboCJPjrzHIS/PrgViUQHDwxGPSkLO+O460roE4GwAoIAg6b12JWvxfBTA0NhoGTr3E5Midf45elw4OTOFc3fj3krl1tuL/m9YmfoOYLYFv0a75fdGrQ4iM5RacWjWjEizVeJF2bTj+/fsX4qRTS6ZXGIZF+XaDzx0/et/VkCPkV9s41JsLFuFZBEO7RaWD7dONUkGHrwLt1qZ9yc0gcU9eFojNI+LnasGpcM6rYW+a7782Mm9zOuk1dl7o5z330Qm0ORtwm9m4WU9eFst7pR2SXNhtfP+7XbRCEMnQ0/ihv7XmLz9t8njPC8lklenBL0f01bw0S1Klqx5iWXvD3FGNy69EMXl71XCe3942rN44Xa7zI9sjtpGpSGRwwGJn4uQgVjSQZK6WvG1noQ2a2/ICMiPc4eV3NhRsppRjcA7P2fspCgxnJ2BJvsMJt7QhjITzg6M1jdFYksM3NBxqOILbRu0zSTKZX9hy6de1FZXsLYyL74iJo/64xcXNvlDu5LUjsKWMv6C/9ION2sa6hvocDcx4qOrVw71XMFeaMrzcee/OCe1eKrUY3qDsQBv5UcM+RytJYWVmTZlwmRBCEortfMV1pBkPXwKu7yiS5/eVIJG+vDUFnkGjgYc+6oJaPTW6Pxh9lwJYBDP17KL9d+i3neRtzJV+91ACZDE5G3eV3+1eMa2UHf2hcn1cQytiWq1vI1mdT26l2eYdSYiLBLUUrD0dyLi4FuQz+278Wyi2T4OTP4NMeRv5ZtDd9z4HvTn+HpdKSvtX7lncogmB6MpmxqNzVPYVaDxegvZ8Xtas4ADDsx2OsOHQdbSnOx41JiSEhdBWvSkpiMbAUDdNlGm7eW7ZsXdg6dDIZdQetIrv3d4y+0oZ/DC2w9GrI0FYmqiHg0Ri6z4Fbl+GX/pB1t1jNDHqo6NS8f8Nyik6lZKfw49kfydabcN3J+29G7arCoJ8LXyU5oCf4dTUOac6uGMPCBKHMZN6BVf2Nr6kArjWNo0VKkSRJfLfrCjM3X0CSjMu6/fpqC5yszR57jFKmRCVX4WnryX+P/5eFIQtzljJr7uvM+DY+AHxyIIukumMgPgTOrS/V6xCER6Vr0tkdvZuGrg3xtDPt2tDlQSS4peRGchZf/WusCDqqpTf17+yAs2shoJdx+Iy5TTlH+HR5Z9873Mq6RauqrbA1sy3vcAShdHi3ubcebkihdpfJZLzW1Q47r7VkO/7Cp9sP0PPbA+wLv1Uq4c3a+ymfGszIQqIbmQTJ1HytMDAzbAMJGQnsjdlLK/dWeNp6snDPVa7eykClkDF3QD3kchOOumj5OnT6CBLOweqBxV4+I7+iU5sjNvPdme/YdGWTaWLVZMLP3eDMr0U/ViaD/otg0hEwF697glBot8KNxaSu7S3U8mumYDBIzNp6kfk7wgHoXseNn8c0xcY872w/jV5DdGo0AE0qN2HbgG2s7rWa2s61WRS6iLnH5+bsO7VbADVcbdDoDQRFdkKydIRds0CbVSbXJQgAO6J2oNar6VO9T3mHYhIiwS0lH2+5QIZGTxV7C97pHgANhkC/hfDyL6CyKO/wnjrDaw3H09aTyY0ml3coglB6irAe7n2tfT1p4C1HZR+KdfWviFUsZ8yqf3hlxQmu3ko3WWgxKTGsOLuSUWQShJobMmMPg0avYXnIcn4+9zN6Sc9g/8FcSUhj4V7jWrOvdfCjhlspJGft3jUW5Yo7ZRzWfX8oYhHcLzpV5aGiUz29X8TJwomfzv+EtqQVjCUJtrxh7IFNiS1eGzaVHsw9zrxTsngE4XkQsQt+6gLJ0dD7K+g8s9RPqdMbeOePUJYfigTgpcYe/DCsERaqvFMRbmfd5pXgV3gl+BXuqo0jUKxUVjhZOLGs2zKaVW6Gl51Xzv4WKgVfDw5EKZdxMlFit+sYSIuHqEOlfl2CcN9f1/7CTG72zM+9vU8kuKVg+/mb7LiYgC2ZrPLbg40S4yf1DYeDQlXe4T2VGro25J8B/+BrX7rDiwShXBVxPVwAJwsnVvVawc/df6aecyAqh1NYV5/PoeTFdP96H7O3XiQlq+RVx2ftm4UMGedlBlbJcrcnQ8b68PW4WbnRumobpm88h1YvUb2SNa93rP6YFk2g0wxo8x9jReJizst3sTFnycjGmCnlXElMZ8bGcEbVHsXNjJv8dvm3ght4kkPfGucn13zBmJDfI0kSdzI0nItNYfv5eH46cI1P/7rA/H/DSMl8zL3aNQsWNCr2vGNBeC4c/9FYy0AGjNgATceX+inVWj0TV59m4+k4AF5t68MXg+qjVOR9C33h9gWGbB1C6K1Qevn2ws4s99q2NmY2LO26lOG1jMumpWpSydRmUtfdnrc61wBgUnhDzr8YbCw2JQhl5KPmHzGr9aw8v7PPKlFF2cTS1Fo+2XIBB9LYZPcV3hfCoVZDY+ERQRCebypLY5IbdcQ4D1dR+JfgppWb8nuflZy8eZL/HllAjNqSRAMsO3idjSFXmdqlPkObeaEo5lBhy/BgXjbIWIMc6ZEmZHIZ2bpsBvkPYu3JG5yKMvZKzB1YH3NlKS7DIZNBl08ePE67CZZOxoIyRXC/6NQ760PZfuEmNas2o7J1ZeadnEdiZiJTGk9BUYTlRAwGieRz23Dc+Qlptn6sdXmPyM0XiL2bRVxyFjeSs8jU6PM9NvhCAr+Ma4ab3SMjeSrXM8433vUp9F1QpOsThOeGTm1cVnHYWnCpUeqnS1NrGb/yJMeuG0dXvNs9gEkdqudbCPPva3/z8eGPkSSJOW3mPHao5/3XGo1ew5u73kQn6VjYeSGvdajOzsuJhMYk83pwOv8E6LBWUqT/JwShuHwdfPF1qDidTOKvxsS++jccfWo8683/i7cmFjq8D3UGlHdYgiA8LXrMBQv7Yr9paVK5CRteXEmmNpvfj93gm13n0FSZy2fHfVl+vA+ze3WmlZ9L0RrVZvGdzAosPVj9VuhjawTE3U2n+zfGYXPDmnvR1NupWNdQLKnxxjUu3RvCwJ+L/PMb1NiD83EprDgcybc7o/l66HdsjPsv8RnxyGW5e2K0egPxyWpikzOJu5e03v839m4WGSm32KV8m1Qs6Xt7ElE7Hz882dFKhYejFZXtLdgXfouwhDQGLDzML+OaUb3SQz/n2v2NS8edXgWNxhiLbQmCAFnJgGQs3tbyDWg8tkzqmCSlZzN6+XHOx6Uik8Fn/esyvHm1fPc9EHuA6Qem42rpyredvs21HNDjqOQqGro2ZNn5ZYzZPobFXRYz/+UG9P7uAFFJmaxfu4IxSd/C8HVwr9CfIJiaJEkERwXT1r0t1irr8g7HZAr1DmHy5Mls2bKFqKgozpw5Q2BgIABXrlxh9OjR3L59G3t7e1asWEGdOnUK3FZRhcYks/PICdabzcFblgDdPodWb5R3WIIgPE2q1DdJM1Yqc8a18aF1gILX//UhURlKgnSWV7ZtoYn9S8zp3Q0vZ6vCNXb8R+Ocrx5z87xxNEiGnATw078uk56tw9XWnOk9a5rkOgrNupIx6bvwJygnQf/FIC/aLJsPe9fiUnwqx67fYcbGaD7r/xl3srL4MjiM2LsZXE+5zq07jiSkqQuY8mvN+9J4MrBEbVuNRg6WeDha4e5oibuDJe6Olnjc+9fK7MF/s0evJfHqypPEJWcxaNFhfh7TlIZe9youy2TQ80tY3Br+mQrjdxf5+gShwkm6Cr8PAdsqMGKj8YOtMkhu45KzGLnsGNfuFdKb/3IgfRpUfez+raq2YmzdsYysNZJKVpUKdQ6ZTMbbjd/G0cKReSfnMWrbKJZ2W8r7PWvx8ZYLbLyUyRjzaPh3Boz4w1SXJgi5nLt9jnf3vcvI2iN5r+l75R2OyRQqwR00aBDvvfcebdrkXng6KCiICRMmMGbMGP744w/GjBnDiRMnCtxWEen0Bt7fcJbvVAvwkidi6P0N8qZjyzssQRCeRncj4XYE1Cj5HKualbzYNfxX/rp8hP8eWUCa3VlCpbP0WP0Po/yn8EYnv3yrfOZQp8DB+WDnAU1eybP5m1PfcPHORXq6vsu/FxMAmNWvDnYWZVxPQKGEAT+CLttYkV5pAX2+LdLc3PtFp/osOEh8ipq31pzL2WbmsgMz571ky/shSc0AUMplVHGwMCatDlZ4OJjjZSejiosz7o4dqGJviZmy8EloC19n1k1syaifj3MrLZthPx5j0YhGdAhwNe7gWhOaT4Qj38OZVdB4dKHbFoQKJ/IgrB1hfI1qPLbgtaVNJCIxnZHLjhGfosZSpWDxyMa098+btEalRrEpYhOTG05GIVcwpfGUYp1vdJ3ROJg78PHhj41JbpeltPFz4WAEbJe3pUfEDri6G6p3KumlCUIeW65uAeAF3xfKORLTKtT/zO3atcPDwyPXc4mJiZw8eZIRI0YAMHDgQGJiYoiIiHjitopq+aFILt5MY7puIrGdFojkVhCEx9v0OqwbBSWt4vuQPjVbcmjMr0yu9T2q7Dpos51YvO8qHb7cy7LDoRgMj+mSPPy9ce5nh+kPqvnek63P5s+IP7mRfpO5fxuXvOhW240edauYLO4iUahg0HLjG73TK2H79CJXV75fdMrBSoWFSk71Sta0869El2qdsVM5Y1FlI707HmDfe20I+6wnB97rxJoJLfnq5Qb8R7WRgafH0spVQzVn6yIlt/fVqmLHxtda4eNiTZZWz/iVJ9l4+qEhzu2nQUBvqNKgyG0LQoVx+hf4pZ+xVsHQNdByUrELzRXFudgUXl5yhPgUNXYWSlaPb5Zvcns47jBD/x7Kz+d/5kLShRKft59fP77u8DVuVm64WbvxxaD62FoomZ05CK1MBcEfgSH/ef2CUFwavYbtkdvxc/CjllPFGgYvk6TCvzvw9vZm06ZNBAYGcurUKYYNG0ZYWFjO9mbNmjF37lzs7e0fu61Tp7yfQM2fP5/58+fnPE5OTmbDhg3FvaYyoVarsbAwFgmRbofzy0UNh/U16eopY5Bf2XzKKJTcw/dReHY9a/exesw6/GL/4Gjdz0ix9Td5+1qDxK4YA9uiJLJlKVhX/xKz7Br0te9GS6cHC7jLDFran56EVmnD4QbzkGS5X7tOZZ3i95Tfcc/qzeXItlgo4JPmChzNTf9Gsyj3UK7PpvGlOeiUloT4v4MkL/p8ZoMkIYNcxWIyDBn8mvwr4ZpwPFWejHYYjYPCAQDXpGM0DP+KFGsfjteZjUFRtEJXj0rTSHx/Vk9kmvHxoOpyunqZbkiy2qDmtPo0dc3rYqcou6qYz9rfopC/8ryPHjf/pc71n8g0r8SZmtNIt/Iq+CATCLtrYOE5A2o92JnBWw0UeNjkfq2TJIkDmQf4K+0vLGQWjHAYQYB5gMlieHhKyO6bd1h7yY73lGuYpNzCed+JxLkVrRdX/D0++0rzHp5Tn2Nl8kp62/Smo03HUjlHaRk3bhyxsY+vf/FUFJmaMmUKU6Y8GNrh4eFB9+5P9zpMwcHBdO/eHenaPrKPfkYjpQWDbRbzzfiuWD9pOKDwVLl/H4Vn2zN3H69bwco/aOGmhbalE/cLwPtpamZvO8jOxAC0thfYoLnEnoRAPmn7Nh197hUxatsM89QbdKsamKeN1f+sRiU343K0cd8P+9RlSIv8i6yUVJHvYedOoDCjWxErKhekn6EfP4T8wI/nfmSDfgNre65FlngJfhoLVi7Yv/oXXR08C26oEHp20zFx9SkOXLnNH1cNOLl7M71HTeRymbFnOuwfcKgGlQsuWPOw/bH7mXNoDnfUd4irEsePXX/Mt+praXjm/haFfJXrfcxoDNtTsOr+X1rbFG4+a0ntuJjA9wdOo9GDp5Mlq8c1p5pz7oI7Gr2GWUdmsSVhCz72PizotIBqdqXzerjr/+zddXiV5RvA8e+JdQFjY7BgbCPHghjdIaF0KSAhqNiKIqIwsPiphE0IiIQoSEhKd3d3jDFqwbp3zvv748BwAgt2Vmf357p2jXPe533e+5xnG+d+nwrdwsbwb6hbazDTznblOe1BPLy8qd0sb20iv48lX0G24bqt61DFqHiv43tUsKlQINcoKk99u9jd3Z3bt2+TkZEBGO5qhYaG4uHhke0xk3JxA/qFfUjTq3gt7R3G9agrya0QImduQaCxyNN+uE/D2c6SH/u2468eM/FMGUd6nB/3lOO8vXMIzy8dQ1JaBtg6w2OS2wv3LnA84jiapEDQW1O/clkGNChGf8MtbA3bBSkKbP0S9vxglGo1ag1v132b71p9xyeNPkGVHA1/vgC6VOi3AIyU3ALYWGiZMziI7oGGxWt+2XmVD/46QbpOD/euGuYfrn0/z8OwHa0c0ag01HWuy4HbB9gSusVoMQtRIGJC4dT9hZRsykOv2VBIye2yI2GMWHiEtAw91SvYsXREk0eSW4Co5Ch2hO2ghVsLfu/8e4EltwBVy1SlgnUFLilz0FY8SquUybxzKZA8DLoUIkd1K9SlT7U+JpfcQj4SXGdnZ+rWrcvChQsBWLZsGW5ubvj4+GR7zFRUiNqH8md/4vXmvJA2FpfarWhTw/R+QIQQBcDM0pDkhu436jzcJ6nt6sCqV/owueVkbCJGkx7rj+elE/z29dusOHqdy9FXHjnnaPhRQEXU7fqYaVT8r6efoWexuElLhHOrYdM4w2rQRtK2clsCnAJg5ySOJ93iI//WJD3mRkB+mWvVTO0byLBmVQBYfuwmL88/TJJdZag/DG7sh5NLsq3jRvwN3tv2XmYi6+voy4ZeG5jSagq2ZrZMPjyZlIwUo8cuhFHcPgmz2sCKERBzo1Av/evua7z/1wl0eoU6HmVY/GqjR/aoTkxPBKCibUUWdl7ID61/wM7crkDj8rD3YH6n+fiU8UFXZg1mzuvZdiGcv3cfg4SIAr22KD0G+w5mXONxRR1GgchVgvvqq6/i5uZGWFgYHTp0yExUZ86cycyZM6lWrRpfffUVc+fOzTwnu2Ml3q3jBFz8jni1A71TxxFqXpXgLrWKOiohRElStR24N4CkqEK5nEql4jn/Smx/5wXGVhnClyl7qZN2jPdXraPHqu68sGooR+8ezSxfr+xzpFz9CH2KO6+38qFqhYL9QPfULGxh0Eoo5w3rPoBjC41bf9tg1vh1Ym3sBQasG8D1uOvGrR9Qq1WMfbYmY+5vvbT9QgQvzDpAdMNRYO1oSN5T4h45LzE9kW+PfEu3v7uxOXQzh+8czjxmpjGjvFV5RgSMwExtxp3EO0aPWwij2Dweku5Bn7lGHSGRHUVRmLrxAp+tOQtA86rl+X14Q8pYZ53ysPbqWjos68C5qHMAVLavjKaQVnN2tnbmt46/EegUiLnjThwr/k6HzR1JWDu2UK4vTFtsamxRh1CgcpXgzpw5k7CwMDIyMrh7927masjVq1dn3759XLx4kcOHD+Pn55d5TnbHSryKARxw6sdziWO5rLjxYacaj9zxE0KIbDV7Dwb9DXYuhXpZSzMNA5MXoFEpHPR+E0VnQ3psIKfuHWHw+sG8uHYoB28fYszyU6SnOuDjbMfrrb0LNcY8s6sAg1dBGQ9Y+ebDoY75EWNYNRozKz55dh7v1n2Xq7FXeWHNC+y4sSP/9f+HSqXi1ZbeTO4TgEat4sSNGHrNO8e9xmMg4S7s+DqzrE6vY8WlFTy7/Fl+Pf0rXg5ezHlmDqMbjH6k3v41+7O863I8HTyNHrMQ+RYdYtgCp3onqNmlUC4Zl5JO8Moz/LDV8Fn2Wb+KzB5cP8ue1Tq9jqlHpvLRro+wUFugR18osf2Xg4UDM9vPpHHFpqjx5ajeB+tzi9HdOlEk8QjTcDX2Kq0Wt2LB2QVFHUqBkV3kn0K6XmHkva6EKhWo41GmeM1LE0KI7Nw6BmdXQvXOvDNkAMtf7kINzQgSr44kPaYuxyKOMGzjS5yMWwfA/3r6YaEtASvDO7jB4NVgVxFWv2voEXpat47BT0GwczJgSD6H+Q1jervpqNVq3tz6JtOPTzdO3P/Ru54bswbVw9JMzdWIRDrvrEyyUwAcmQfJMQBEJkcy8cBEFBTGNx7P4ucW06Big8fWZ6Y2w0xj2LM4JDakQGIW4qkdnW/4Xr9gt1ZMSstg1YlbvDL/MPW/2MyC/YaRGC80cOeHF+pk+RsXnxbPW1vfYu7pufg7+fPnc3/i6+hboPFlx9rMmhntp/Fjl9eYqBtAjErN5b9G5nluvhAPrLmyhgwlg2pljb+LQ3EhKyI9hVm7rnIrEbTqYjwvTQhR/B2db5hf+eIKwx6vhWHLZ4AK2hiGudXxKMvy15qw8kRlvv7HnbuRbTAvtwdFb8aAhh4EeZYrnLiMoaynIclNuAvWTxl3QgT8OdDw4dEr67YJTSo1YfFzi3lv23v5jzUbbWpUYNHLjXjpt0PciU/n+fTBvPFcZazvnaaZazMq2FTg+9bf4+fkl+u5gL+f+52vDn7F3A5zqe9Sv0DjFyJXFMUw2sLBA7zytv1NbqSk69h+IZzVJ2+z9Vw4yekP95G1MdfwSgtv3m7rk2WF8aT0JAasG8C12Gt08+5GcONgzPO5JZgxqFVqGnk50rBxU164VQUHVRjj9i7Er+mLRR2aKGH0ip41V9fgYuNCkEtQUYdTYCTBzaPQqCS+33wJgOHNvajhUnj7CwohTEzsTQjZBbeOg3sh/EeTGAkRF8CvD1R42COhVqvoUceNDr4uzNh+hZk7nfEoY8Xo+3NCS5TyPoYvgHvXIO4WeDbN3bm6dPhrMMSFQffp4FbvkSKutq4s6LwAM7XhhkRCWgK3E29TtWxVY70CAOp6lGXpiMa8+OtOzpkdZ+Spn7A5b8W2PhuxtrCliWuTPNXXwrUFU9RT+OrgVyx+bnGhzSMU4olUKnhlO0RfA7VxBhSmZejZdSmCNSdvs+nsXRJSMzKPWWjVtK3pTBf/SrSu4Yyl2aO/A9Zm1rRyb0Wfan0YWHNgoW2vlVsfdqjNs7Obcs5mGx+c+5pfarWgctmCW81ZmJ4jd49wO/E2w/2GZ+65bIokwc0jR1tzXmxUmVVHrvFOW+N+oBFClDKezWAHELKzcBJcm/Lw1lHDysOPYW2uZeQz1Xm9tSFBfNwHwBJDr4c/XjDMpX1xBXg0zPmc9R/B9T3Q8DUI7P/EYhYai8x/T9g3gZ1hO5nQeAKdvTobI3LAcJf9VOxmzD2/xyI1Cl2KC743PUj9qTXWb24zLK6VB+727gz2HczsU7NZdmkZfav3NVqsQjw163JPP9rivgydnr1Xolhz8hYbztwlNvnhyvTmGjUtqjnRJaAibWtWwPYxWzkqisLqq6t5pvIzWGotGVlvZL7iKUhW5lq+7/o5k/54iWNOF+m7ZhC/PzcHn7Kms0uJKFirrqwCoItX4cx5Lyqmm7oXEBsLLWOfq0VwkAYr8xL84U8IUfQKaT9c4OF2RGaWYOOYbVFLM03JTm7B0CPU9f7euL/3NsyrzU50CBz7HTybwzOf5/oyA2sOxNbMltG7RvPNoW9I1xtn26c3t7xJ8N5gUCmMqvcJNfXjqZRsR9n4ixxeOPap9sN82e9lnK2c+eHYDya/gqYo5qKvw/avIO72U52u0yvsuxLFJytO0XDiFgb9epAlh8OITU5Hq1bRspoTk/sEcGhsO2YPrk+3QNfHJrepulTG7hnLJ7s/YcaJGfl9VYXCz82B+nW/IvnmCyTqYhm4bhDn750v6rBECaAoCuFJ4fg6+uJVxquowylQ0oP7lMw0xWvYihCiBDKzNGwV9GA/3IKah6vXGfaZ9GwOHScWzDWKI/cG0H+xIcFd0AOGrM0yNDuLsp4wfBPYVcpTOwQ6B7L4ucV8sOMDFpxdwLmoc0xqOYnyVuXzHG5ieiI2ZjYAtK/cHu8y3rzi/wp25nb0qabj7UVazlzdin/ofH5Y8gxv9umEJg9rQFibWfNe/fcYs2sMPx37iU8afZLnGIUwiqPzYddkcK0P9hVzdYqiKBwNjWH1iVusO3Wb8PjUzGNqFTTycqRLQCU6+rpQ1ibnebPhSeG8t+09TkaepIVbC4b7DX/ql1PYXm/lzZbzLYkJS0DtvIey5hWKNJ7kjGSstFZFGoPImUqlYmb7mSSlJxV1KAVOElwhhChKns3uz8M9ZkjICsKppXDnJPi0LZj6i7MqzeH53w3Dled3g+GbDcnsA3G3DDcXylYGl6fbzs7J2onZz8xm8uHJLDq/iC/2f8F3rb/L9flJ6UnMPjWbP8//yeLnFuNu706Pqj2ylLEy1zD9xQbMXPghvtfeIPD0/3g7vQJTnw/M0yrXz1Z5ljORZ+jm0y3X5whhVLp0w37VDh7g3TrbooqicOpmLGtO3mbtydvcjEnOcjzIs6whqa3tgrNd7rdrPBVxine3vUt4cjjDag/jrTpvlah56VqNmql9/En5+XW8b97kp3VH+KBvO0LjQvGwL7idPWJTY9l3ax/X464TGh9KaFwoofGh6BU9u57fVWDXFcZlbWZd1CEUOElwhRCiKNXuBU7VoXwBLdefkQbbJ4KlAzR9p2CuUdz5tIM+v8HXQ8HZm8wtLTXAYCsoo4bpiVDJGy5efKpLmGnMGNNwDAFOAdStUDdX5+gVPauvrOb7o98TkRyBTxkf4tLjnlheq1Hz+qABnPl5DS0j/2Hh2TUMnZvOzBfrYWeZu15nlUr12P1yhSg0FzdAwh1oPRYek1QqisL5O/GsOXmLNSdvcz0qa29TgHsZuvhX5Fn/ilR0yH2v4b9HSMw+NZvYtFi+bv61UefOFyZvZzs21BuN79HX8D41lW/dopl3+Us+avARz9d4/qnqTExPJDQulOvx1w3J6/0EdmKzibjZuRGRFMGonaMyy5e1KIu7vTuV7SobpmcosOzSMvpU61OibhiUBuFJ4Xy06yNe9nuZxpUaF3U4BU4SXCGEKErlqxq+Csqx+Yb5pW2DwapswV2nuKvxLGi7gWoe6NPBAuhoCa4a2JUKaRpo1Srfl/n3h+UVl1ZwPOI4Hzf8OMvCVABnIs/wxf4vOB11mjIWZRjbcCy9qvVCq87+v2WVSoXv4O+Jm3Yas3Qde69E8fwv+5k7NChPPViKorA5dDMWGgtauLXI24sUIj+O/AYqDdQZmOXpy+EJmUnt5fCELMdqVbSnS0AlnvOviHu53PU+KYrCxeiLbAndwpbQLaTr01nV3bDAzsBaA3k14FVqOdYyyksqKu2fe4HjZ36lR+oe+u9oRcVqrnx54EuiU6MZ4T/isef8N4lt4NKAQOdAFEWh7V9tSUzPughhWYuyRCZH4mbnhoe9B183/xoPew887D2wN8+6k8icU3P47uh3xKbG8mrAqwX1ssVTWHd1HYfuHKJ/jScvoGhKJMEVQoiiptdDxHlDomvMebhpSbBjEtg4Q8PHf9gpVYKD4bffoK0F1DMHKxVcTIdtqaDRwrhxRruUoihsv7GdrTe2cuHeBb5t9S0VbR/ONYxOjeb8vfO8WOtFRgSMeOSDYrbsKmA/6gSdTt1l05LjnLkVR+/p+5j/UgM8y9vkqoq4tDjG7xmPrbktK7uvlPlzonBEX4fLmw03nO7Pvd12IZxv1l/g3O2soxeqOttmJrVeTrlfNTwmJYZZp2axNXQrYQlhADhYONDKrRWpulQsNBYms/+nWq2iYt9J6Oa35p3kZcxL/Rq7ctOYdnwaUclRVEqvlFn2m0PfsO7qOqJSorLUMSJgBIHOgahUKvrX6I+ZxozKdpUfm8Saa8yz7fEeWGsg666tY9qJadSrUE/23C4mFEVh5ZWV2Jvbl5obmpLgCiFEUdvzHWz5FF7amLvtbHIr4Q7YuUDgADDPXeJj0tzdYcgQOPW7IbmN1MHyZDAzh8GDDceNRKVSMbXVVKadmMYvJ3+h35p+dKrSiU5VOhHoHEgz12b80+sfXGxcnu4Cag1dAipRUXeL0X+f58o96D1jL78NbUBtV4ccT3ewcOD1wNf5+tDX/Hb6N14LfO3p4hAiL+xcoNdsKGPYu/VyeAKvLTxCSrph3oCno/X9pLYS1V3sclVlmi6NA7cPUNnekJRZaC1YcmEJZSzL0L9Gf9p6tKVuhbo5jo4oqSp41+GqZx8aXl/CV6eOM7DvRNaaT2TxhcVUM6/GS7wEgLnaHFdbVxpVavQwgbXzwNPBM7Out+u+na9YLDQWTGo5iefXPM/oXaNZ2mUpZS1L8cihYuJC9AUux1ymX/V+mGtyXoDNFJjmb7sQQpQk7veT2pBdxk1wy3nBK9tB0edYtNQIDgav3+BmGtzTQyqg1Ru19/YBjVrDW3XewtfRl493f8yi84uIS4sj0DkQ4OmT2wdiQqm/tjMrqrSizc2XiUxIo9/MffwyqD5NfXJexblfjX4svbiUOafn0M2nG5VsK+V4jhD5orUAv94ApOv0jFxynJR0PZ6O1vzUvy6+lexRqXJeGTwxPZFdN3ex9fpWdt7cSWJ6IsP9hvNO3Xew0lqxvOty3OzcclWXKajS+wu++aMJx646E7L6Kqvf+paDkVsIORuSWebdeu8WSixeDl6MazSOj3d/zNg9Y/mpzU+lph2Kq8y9b71Ne+/bf5N9cIUQoqi51gOtpXH3w401DM1DpXrsQi6l1oNe3HANJClgbg5Dhxq19/a/2ni04a/n/mJSy0l83jT3e+zmqIwH1OiM/fUNrO2Uikc5axLTdAyZe5A1J2/leLqZ2owPG3xIqi6VKYenGC8uIR7n9km4cyrz4U9bL3MyLBa1Cqb2C6S2q0OuEqF5Z+bR4s8WjNoxin9C/sG7jDfv1n2Xnj49M8u427uXqqRKZVeBYf37U97WnOikdIJXXqSHTw98LZ+wLVoB6+Ldha7eXQmJDXlkSLQoXHpFz4ZrG6hsXxn/8v5FHU6hkR5cIYQoamaW4BYENw4YVj3W5nMIUfxd+CnIsIhL50nGidGUPJiLC4b5zwXQe/tf7vbuuNsXQBL9zBdwcQMV9gSz9OVtDJl/krO343jrj2NExqcypGmVbE9vUqkJbdzbsOvmLu4k3sl/r7IQT7L1c7i8Bd6/wLF7Wn7adhmAN1r7UNfj8cNYbybcZMv1LRwLP8bUVlNRqVRUtq9MvQr1aOvRltYerXG2di7MV1FsOdpaML1ZMrqtE3nl/HssPlSBohwc/EnDT1BQMleuFkVDrVLz53N/civxVqm66SMJrhBCFAeezR/uh5vfYcq7JkN6ElRpaZzYTM2DXtzZswu897bAObhBiw9gy2c4n57D4lff4pX5R9h3NYoJq8+SptPzSgvvbKsY03AMYIQh00I8ScwNuLQJqncmybwsI5fsRqdX8HN14O22D1eRf7Dy8dYbW9kaupXz984DYKmxJCw+DHd7d1q5t6KVe6sieiHFW9DEN6BJHG9p/+bzP9WMqZYEmn+N4PF++q3Q8urfe60euH2Amo4187aYnjAaJ2snnKydijqMQiVDlIUQojjwbAaWZSDuZv7qiQ6Bw3PBtb5hpVLxeMHBUK1aofTeFrjGb0I5b9g5CTtdHL+9FERnP0OyOmXjRe7EpmR7uouNS2Zym6HPKPBwRSl0bAGgQL0h/G/dea5FJmKhVfNtvwC0alXm1jQZSgYvbXiJacencTvxNl29u/J96+/Z+fzOghkBYWoqd0B3B4ZoNuBoEc9vd+zRKRhGqmiMsxVaXp2KOMXLG19mwt4JKIpS6NcvzeLT4pl3Zh6RyZHZF6xWzfDz8aSvatUKJ2AjkgRXCCGKA49G8OE1qN0z57LZ2f61YZ/XtsGG+bfi8dzd4cKFkt17+4DWArp8D33ng40jFloNU/sG4mJvSWqGnh+2XspVNSsvr6TLii7EpMQUbLyidNFlwNH54ODOdp0fC/ZfB+CjTjXwcbbju6Pf8f3R7wHDvPCPGnzE7Gdms63vNr5s9iVtPNrINla5FTwezcYUzFQ6Rmv/4HKKObOCehiOKUqR3NCrXb427Su3Z9P1TSy5sKTQr1+abQzZyOTDk9kVtiv7gi1bGhJZvf7RryK6MZJfkuAKIURxoNaAOp9/ksPPw8k/wasVeMnw5FKlSnOo2j7zoaWZhnfaGYZ+Ljl0g5DIxByrMFObEZYQxk/HfyqwMEUpdGkjxN8mufYAPlx+BoBmPuUZ3NiTC/cuMO/MPC5FP7wJ08W7Cw0rNsRMbcQ9wUsLd3doOwgu6HhWc5B6qgtMbT6Qc5WqFtl0DJVKxYQmE3C1deWbQ99kDjsXBW/VlVVYaCxoX7l99gWDg0FRiLR2oOugqcwO6k6y1sJwrIhujOSXJLhCCFFcRFyAf0bD7RNPd77WAmo8Z+i9FaVT2GFYNhx06fSu50aV8jZk6BW+3ZzzvLtOVTpR17kuf138iwv3LhRCsKJUcHBF8e3J5zfrEB6fir2llkl9/EGl8OWBL1FQ+DDow6KO0nQEB8OWNJQ0hcZmV0nTmvFex3dI/fiTIgvJztyOyS0no0fPqB2jSEpPKrJYSosb8Tc4Gn6UNh5tsDW3zb7w/XUp1tRuxemKPvzcqA8ava5QdhkoKJLgCiFEcZEUBQdmGHo8nka5KtBvgWHbIVE6vdMVTv0Fze0wMzfjvbkTAFh1LIxzLt7ZzqVSqVSZC0797+D/ZL7cA0U8Py1dl16g9Re4igH87fM5i87rAPi8e20qOlix6soqjoUfo1/1ftR0rFnEQZoQd3foNhjVz6k4VAjCTJfOeSdPpp4r2qSydvnavFv3XcLiwzhy90iRxlIarLm6BoCu3l1zd0JwMCf8q3LEYgSfRM7HXJ9RaLsMFARJcIUQorjIz364lzaBXmf8mETJUq4DxOihpTlYKTx3die17l5BUamZ3PzFHOdS1ShXg15Ve3Hk7hE2hGwonJiLuyKan6YoCpMPTabpn005cPtAgVyjwEWHcDM6keCVhqHJXQIq0S3QldjUWL498i3lLMvxZp03izhIExQcDEl6PCwzGHXgd8zI4JedVzl47V6RhjWo1iCWdl1Kc7fmRRqHqVMUhdVXVlPeqjyNKjbK1TlXLMtysbwnB/Q18T9/oUT33oIkuEIIUXxoLcC9AYTe3w83t65sg997G/aZFKVb8GewKR0sVNDOAjUKo3YuAGCLdxCHh4/MsYq36ryFl4MXGrUmx7Klwv35aQBYANb/WrytgOan6fQ6Pt33KfPOziM5I7lkbvGhy0D5tROx0zsSn5JBBXsLPu/mC0BUchTlLMvxfv33ZeuYgnB/yKldWhgvt9zJR+V3oyjw/l/HSUgtupXSVSoV3mUM25bdS7nHjbgbRRaLKdMpOob7Dee1gNfQqnO3I+yKozc5o3jy9d2+VD0WUqJ7b8FICe769eupX78+/v7+NGrUiBMnDPPHDh48SKNGjahTpw41a9bkm2++McblhBDCdHk2h4xkuHU0d+UVBbZ8BmozqDe0YGMTxZ+7OzQZCFd0EGgO7hpaXT1M/ZvnAPjmWHSOQ4/LWpZlRbcVOS9MUlo82DfZ3BwGWMMHtjDUGppawfC+Ru/hSNel89Guj1h2aRlNXZtycMBBvBy8jHqNQnFpI6r4W2xINCx2NrlPAGWszQHwKuPFki5L6OLVpSgjNG3BwSRaVkJl58CQ9L+oYJ7CjXvJfL76bFFHRnJGMs+veZ53tr9DSkb225iJvNOqtfSs2pO+1fvmqrxer7DimGGLwh6WcaigRPfeghES3OjoaAYMGMC8efM4efIkkyZNYsCAAQC88sorfPzxxxw7dow9e/YwefJkzp4t+l8sIYQotjybGb6H5LCs/wPn1xiS4fovQdnKBReXKDmCx8PGNEhXwF2DCvhwl6EX9+C1e+y8lMOeiIBaZfh4EBIbwp3EOwUZbfGXnmzoxdXrYX0KXNaBiwbamUGFNfBLKwjZY7TLjdk9hvUh62lfuT0/tv4RK60ViqKw7uq6EjV3MWHfbHSKisW6VgxuXJnmVZ3QK3pORBg6QczUZqhkK7OC4+6OvpIHtB+PJjWaX70N/6csPnyDTWfvFmloVlorelXtxaXoS0w6NKlIYzE1qbpUQuNC83TO4evReMftZ4P5h/Tr7mYSe8TnO8G9cuUKjo6O+Poahp00b96c0NBQjh49ikqlIiYmBoDExETMzc0pV65cfi8phBCmy7UeNHkbqrTKuaxeB1u/ADMbaPFBQUcmSgp3d+g6GKalwt40MDenwTMNaVXdMMx10obz6PU5LyAVFh9Gj1U9+Prg1wUdcfF1eQv8UAeSzxl6cSO1sCgJvk+Fe03Bvx9EXQFzG0P5tETYMcmwIvpT6lm1J72r9eabFt9gpjFslRORHMH4veMZt2ccyRnJRnhhBSst6jpW17exVV8HaycPPupkWERq+aXlDFw3kNVXVhdxhKVIwPNQwY9aoYvo7a0HYMzyk0QlpBZpWMP9htPQpSFLLi6R+f5GtOPGDp5d8WyefsdWHAujufoU1dVhVKhV2yT2iFcp+VwmMTY2Fi8vL1avXk2TJk1YtWoV3bp1Y9myZXh5edGtWzcURSEiIoKZM2cyaNCgR+qYOnUqU6dOzXwcExPDsmXL8hNWgUtJScHS0rKowxD5JO1oGkprO1aK2IHf5Z+54tqTyx7PF3U4+VJa27DA6HRw5w4oCmoyUCpU5HqKOV8eNixE9oqvmnrOOd/jnhc9j1Opp3i17KtUtaiaY3lTaUe1Lo1qob9T+c4/ZGisOO31KnfLNsx8T1GpwMUFNBpU+nQUlRZUKipE7SfwouHzTIKVK3fLNeKuY0PirSsbznmCRH0iKfoUHLWOTyyzM3Enq+JX0dy6Od3suxn9Nf9bftsx/eRinktcxvD0DwgKDMLTXkWiPpGvI75Gq9LyYfkPsVSX/J+T4u5BOzrGnKT+uS8IKdecZyNeIzEdAsurGFFbXaS96HG6OKZETUGn6HjP8b1sf/5Lq7z+Lv4a/SvnUs8xzmkc9pqc57en6xRG7dWxXD0aN20cexv8ku3fquJi2LBhhIWFPbmAYgRbt25VWrRoodStW1d54403lFq1aikrV65U+vXrp/z++++KoijKlStXFDc3N+XMmTM51ufq6mqMsArU+vXrizoEYQTSjqbBJNsxI11RUhOyL5MQqSibxitKUnRhRFSgTLINi9rw4YpSXq0on7goyt6fFEVRlNd/P6JUHr1GaT15m5KeocuxirD4MKXegnpK97+7K2m6tBzLm0Q73jqhKD81UJTx9ooy+xlFuXft4bHhwxUFFOXllx9/bkaaolzeoiir3laUr70MdYy3V5SFfZ54ufDEcKX7392VDks7KPGp8U8sl6HLUAasHaD4/eanHL179ClfXO7kpx0Ph0Qpkz8Zppwd56t8v/Fc5vPj94xXav9WW1l3dZ0xQhS5kKUdlw5TlH3TlLUnbiqVR69RKo9eoyw5FFp0wd23J2yPUvu32spXB74q6lCKpbz8LkYmRSqB8wKVVze9mutz1p68pdQfvUBRxtsrqYuHPU2IRSKnXNEoi0y1bt2aHTt2cOTIEaZMmcKtW7eoVKkSK1asoH///gB4eXnRqFEj9uwx3jwVIYQwSeHn4OvKsH9a9uVsHKHdBLAqUxhRiZImOBjKe4ODA+z4BpKjeb99NTRqFVcjEll+9GaOVbjaujK09lAux1xmyYUlhRB0EUuOgbmdIeoytA2GoeugrOfD48HB2c9P05iBdxvo8j18cBGGrIUGr4B364dl1r4PGz6B0APcigtjyPohXI65TN/qfbE1t31iaBq1hs+afoaZ2ozgPcHFcnGexNQM3lt8gh8zevCR8wxeb2PYI/hkxEmWX1pOA5cGdPTsWMRRllK9ZkOj1+jsX4kedVwB+HT1WW7cK9r9cZu4NmHOM3P4oL5Ms8mv9SHryVAy6OqVy71vgeVHb9JMfRoA82ptCyq0QmeUBPf27duZ//78889p06YNderUwcbGhq1btwIQGRnJgQMHqF27tjEuKYQQpqucl2F+7ZP2w01NgN3fQmp84cYlShZ3dzh3EZ75FFJiYOdkvJxs6VPPDYDvNl8kJT3nvZNfqv0SLjYu/HzsZxLSEgo46CKiu791ilUZ6DwJhm+G5u/Df7dKcnfP/fw0tcawaFznSdDoNcNzeh1c2wn7fuLags4MWtqRG/GhjPN5npdqDTaUqVbNsL/uY768ylXljU1JhCeFc/7eeaO9fGP5Yu1Zbt6Lx9JMzbf9AtFq1CiKwteHvkaj0vBJw09kYamiFnuTzxrqqOhgSUJqBh/8dSJXc/ILUoOKDdCoNSiKQlh8NsNORbZWXVmFjZkNrT1a51wYuJeYxvYL4TTTGBLcLDfiSjijJLjBwcHUqFEDHx8frl+/zpw5c9BoNCxZsoRRo0YREBBAixYtePfdd2ncuLExLimEEKYry364j1kI5MB02DwBThfvtQpEMeHXByoGwMFfIDqEt9tWxVyr5lZsCr8fyHm1TSutFeMbj2dyq8nZ9jCWWCf/gp8bQEK44XHgC1CpziPFwuNSGPTrQYbPO/T0C/SoNfDGQUIHLmaIRxUi1Sr+Fx5J303fwL1rhjItm4GZxrBq83+/NBoGWTZjZfeVBDoHPl0MBWTz2btsP3icAxZv8GvABbycDD8rKpWKz5p8xrjG4/AqUwK3OzIl6ckwszl2a99gci/D4rAHrt1jzu5rRRyYwfi943lh7QuycvtTSMlIwdnKmU5VOmGltcrVOWtP3iJDrzBJ8zJpA1eCnUsBR1l4crf7bw5mzZr12OfbtWvHkSMlZ0l7IYQoNjybw7UdcPMoVP7XjcGke7DnRyhbBQIHFF18ouRQq6H95zC/K2z5jEq9f+XFRpWZs/sa07Zdpl+QO7YW2X8caObarJCCLUTJ0bD2Azi9FGycIfo62Do/tmhoVBID5xwg9P5wzj4z9jHvpQa4l7PO+3VVKipWaUvdGxvo4tWFNpYV4NouKO9jOP58IJRbCuc1cC4DrmbAg452RUE7LhgXG8MH0dsJt3G0csRcY573OIwoKiGVj5afZIBmO+VVcTj6Vc9y3LuMN95lvIsmOPGQmZVhS7mdk2gav4GhTeszd08IkzZcoEU1J6q72BVpeC3dW7Li8gpG7xzNnA5z0KqNkqaUCpZaS35s+2OO+5z/2/L7e9+2DfDC3MevoEIrEkbpwRVCCGFkmfvh/meY8p7vITUWWn9imO8nRG54tQTfnuBUExSF11t5Y2OuISoxjV/z0Htz9O5RPtv3WZ4+RBVL13bC9KaG5Lb6s/D6PnAPemzRc7fj6DVjL6H3krAx12BlpuFqZCK9pu/l3O24PF02JDYERVEw05jxbetvaVO5DVTwhUYjHhaq4AaaslDHHPpbw0hbqKgGc3MYOjRzePTZqLN0X9mdGSdmPPXbYAyKojBm+SnuJaTwgtl2dLaVUPm0B2Dq4amsubqm5P+8mJKm74CNE2ybyOg27vg425Km0/Pu4uOkZeiLNLS2Hm0ZUHMAR8OPFvnPdUmiKErm71hupwBci0zkWGgMdVSXeNEt3DB9woRIgiuEEMWRa13QWsHdUw+fi78DB2ZChdpQu1fRxSZKpj5zoeUoUKlwtLVgeHPDcNFZO68SnZiWqyrWXVvHXxf/4p9r/xRkpAXr+j6Y19WwoFSXH+D538Gm/GOLHg65R7+Z+4iIT6WcjTl/vNKI319uSBlrM8LjU+k7cx8Hrkbl6rJbQ7fSc1VP5pyek33B2j3htd3wczJsTgFzFfSxBjN9lsWtqpatSmX7yvx6+lfORJ3J7as3uqVHwth49i4t1SdwIQpNvUGg0XL07lHmnpkre94WNxZ20OojSLiD5aHpfNs3EK1axbnbcXy3+WJRR8fIeiOpWa4mv5z8hf239xd1OCXC/tv76bmqJ0fu5n7U7Ir7vbcfWf1N9fXPP346VAkmCa4QQhRHWgt4+yj0mffwuQMzICMZ2owzDDsV4mkkRsGdUwxvXoWy1mbEp2YwfceVXJ36ZuCbOFg4MOXIFJLSi3b11Tx70Ivo3hCavAkjdkG9wU/c83Hb+XAGzjlAXEoGlRwsWfJqY/zdylDXoyxLRzShkoMl8SkZvPjrQTacyX7O4Jqraxi5fSR25nY0d22ec6zu7tB9MBwCNqRAjAIDX8iyuJWZ2ozPm36OChXj9owjXZee23fCaG7cS+LT1WcBGFluL6jUUGcgGfoMvjjwBWZqMz5u+LEsLFXc1B0MjlVhz/f4lU3n7baGPa5n7LjCkev3ijQ0c405k1tOxtrMmq8Pfo1eKdpe5ZJg9ZXVXI65jKNl7vYRVhSFv4/dxII06nEWlUcjMH+K6RbFmHxCEkKI4sq+UtYP363GQK85UK1D0cUkSraMNJjRFJa+hJ2ZitdbGeZ9ztsbwp3YnLedKWNZhjcD3yQ8KZzZp2YXdLTGodfDvp9h8UBDkqtWwzNfgOOT54SuPH6Tl+cfJiVdj7eTDUtfa4KP88MFtnycbVn2ehOqVbAlLUPPawuPsOgJC3YtubCEj3d9THmr8vzW8Teql6v+2HKPCA42xH44HRalwidfPlKkernqvOL/CpeiL/HLqV9yV6+R6PQK7y85QUJqBp72amppb4JPeyjjzh/n/+BS9CWG+A6hsn3lQo1L5ILGzLC6d4/pYO3I6628CXQvg16B9xafIDE1o0jD87D3YGqrqUxvNx21SlKV7CSlJ7E5dDP+Tv54Onjm6pyjodGE3kuinvoiWn0qeJnO6skPyE+NEEIUVxmpcHIJXFhveKy1AL/eT+xxEiJHWnND703kRTg6jxcbV8bF3pLUDD0/bL2Uqyp6V+tNtbLV+O3Mb9yIu1HAAedT7E1Y0B02fAzhZyHhbo6nzNsbwruLj5OhV/B3c+CvEU2oVObRVUkrOljx16tNqF+5LHoFPl5xih+2XMoy33TB2QV8vv9z3O3cmd9pPlUcquQ+dnd3GDLE8O+hQ8HNDfZPhxuHshQb7jecamWrMfvkbELjcl4V21hm77rKwRBDb9/EfkFo3j4K3acRnhTOz8d/ppJNJV72f7nQ4hF55N0aanUDlQqtRs3UvgFYmqkJvZfEF2vPFXV0NKnUJHMxtdjU2CKOpvjaHLqZ5IzkPO99C9C7zP0h6d5tCiK0IiUJrhBCFFsqWPU2rP8I/n7D8GFdiPxq8hbYVoDt/8NSn8Q77QzDE5ccukFIZGKOp2vVWj5q8BF6Rc/BOwcLOtqnd3o5TG9iWI287mB4dVe222AoisJ3my8yftUZFAWaeDuy6OVGlLN58grFDtZmLBzekHY1KwAwddNFgleeQXd/X9Ea5WrgV96PeZ3mUcm2Ut5fQ3CwYV/cceMg5rphe7ClQw2rqd9npjHji6Zf8EWzL3C3y8X+vEZw7nYcUzYaPhwPa1aFJt7lDVsg2ZTnYrTh+Y8afJTr7UpEEbp9Arb9Dy8nWz7pXBOAPw6GsvV8zjeDCsPGkI08s/QZjoUfK+pQiqVVV1ahVWvpWKVjrsqnZuhYc/I2AC01p8HaEVz8CzLEIiEJrhBCFFdac/BoCNHX4PhCSIwo6oiEKbCwhdYfG36e9nxP73puVClvQ4ZeYeqm3C0yE+QSxD89/6FXtWK62Nn+6YZEUK2B5/+Arj8YXvcT6PUKE1ad4bvNhl7sjr4uzB0alOP2SQCWZhpmDKxLv/qG5HLB/mu8smgLqRk6glyC+L3z75S3evwiVjlyd4cLFwzfy3pC58kQewNWjDAMX76vpmNNnvV6tlDmuqZm6Hhv8XHSdHqqOtsyuupNWDYc7l0FDFtKre+5nlburQo8FmEEe76HHV/BtV0MbFSZFtWcAPhw6Snu5XLxuYLk5eCFXtHz4c4PpSf3P+LT4jkVcYpWbq1wsHDI1TnbzkcQm5yOhUbB1iMAavc2yTU9TO8VCSGEKXmwXVCt7lApsCgjEaYkcCA41YC9P2GWeJf32lcDYNWJW5y9lbutbyraVgQgOSOZdH3hL3CULd+e4NcXXtsHNTpnWzRdp+e9JceZt+86AP3qu/PzgLpYaDW5vpxWo+arXn683qoKlhWXsT9lPP1/3UBcSrpxk846AyGgP1zaAHt/eOTw9bjrDNswLLMXtSBM3XiR83fiMdOo+LZfIOZH58KppaQD4UnhgGGutiwsVUK0GQdqM9g4FpWiMKm3Pw5WZkQmpPLJilNFvsWTT1kfxjQcw53EO4zdM7bI4ylO7Mzt2Np3Kx8GfZjrc1YcCwOgRXUXLPr8Ap2/KajwipQkuEIIUZz5Pw81noP2nxV1JMKUaLTQ6Wt4birYOvOcX0VqVbQHYMrGC7mu5lL0Jbr+3ZU/zv1RUJE+qlo10GiyfplpoJ0VNLI0HLerAL1mGb5nIzlNx8vzD7Py+C0ARrT05qtefmjUeU/O0vXp3LGcjVmZI+hTK3HkWhrPz9xPeHzOi3flmkoFz0423JzY8hlc35vlcHxaPIfvHmbcnnFk6I2/UND+q1H8ssvQU/tuu2rUtkuEi+uhansW3tpBlxVdOB5+3OjXFQWoXBVo8ArcPg6nl1HB3pIvutcG4J/TdzK3kylKPXx60LlKZ7bf2M6i84uKOpxixcbMJvNmY05iktLYdt4wEqxHHdeCDKvISYIrhBDFWRl3wz6dZWUlUmFkXq0gsD+oNajVKkZ1MKzuu+V8OIdDcrdViLudO2rUTD8xnajk3O0Hm28tWxqSWr3e8FUOGGoFzczBVwutWuaqmtjkdF6cc4DtFwwf+MZ0qsFHnWo8Vc9jckYyb299m03XN9HRsyNfNZuCmdqcs7fj6D19X67mNueauQ30nQ/2ro/sXVm7fG2G+A7hbNRZfjvzm/GuCcSnpPP+khMoCtSrXJYRLb3h2EJQdNyp3YPpJ6bjaOVITceaRr2uKAQtPgBLB8NNk/QUugRUomuAYc74+JVnuBmTXKThqVQqghsH42HnwZTDU7iTmP22XKXBhXsX+OHoD3l6L9aeuk2aTo+dpYaOBwbB9q8KMMKiJQmuEEIIUZpFXIQd39CquhNBnmUB+GbDhVwNBbTUWvJB0AckpCfww7FHh8wWiODgh3vaBpnBKzbgooadqbAwFcYF51hFeFwK/Wbu4/D1aNQq+KaXP6+2fPK2QdlJTE9kxKYR7Lm1h15Ve/FV86/oFuDBb0MbYGuhJfReEr1n7OX0TSPOH3Sqbtgn2/vR7T1eD3ydKg5VmHZ8Gldjrhrtkp+uPsvNmGSszTVM7RuABj0cnQ92Ffnm3iGSM5L5uOHHWGgsjHZNUUisy0HzDyA2FK5sBeDzbrVxsbckPjWDD5acQK8v2qHBNmY2TGo5iW9afJO5unJBS8lI4UKz6uzxt2dV83LMfdaZQzXtso4eqVatUGL5rxWXVzDr1CwikyNzf8791ZOHVktHHXYQkgrppmQRyHn1BCGEEEKYrt1T4cQfqNzqM6pDIH1n7uPgtXvsvBRJy/sLzmSnnUc7Gro0ZMWlFbg7FsIqvg+2z7m2CJppIVoPK5LhrgYGDzUcz0ZoVBID5xwg9F4S5ho1P7xQh461n/4Ds4XGgjIWZRhUaxAf1P8gswe4qU95/nylEUPmHiQyIY1+M/cx88X6NKv6lAtO/ZfGzPD97hm4cQDqv5QZz2dNPmPQP4MYt3cc8zvOR6PO/Xzix1l/+g5Ljxjm7gU/V4vKjjYQshtib7C3wYtsCt1MW4+2NHNtlq/riCLU4BXwbAqu9QDDCuGT+vjz4pyD7Lsaxdy9IQxrlodtrgpALcda1HKsBUC6Lh2tWpunEReKoqCgoFapSdens+X6FiKTIx9+pUQSlRzFtLbTcLJ24kL0BQa+bA5kHUHVbVc0n/16E7XWDFq1MuIrzJ10fTrrrq6jikMVfB19c3VOaFQSh69HA9DLhLcHekB6cIUQQojSrPXHoLGAjcE0qOxAq+qGpHbShvO56rVRqVSMbjAatUrN0til6BV9jufkW3AwhGXAtQyYkQA3dIbhyuPGZXvaudtx9Jqxl9B7SdiYa/jtpaCnTm5jU2NRFAWtWsuUVlOyJLcP1HZ1YNlrTfAoZ01imo6hvx1k9YlbT3W9x1IUWP0urBkJV7dnPh3oHMiLtV6ksl1lUnWpTzw9N8LjU/h4xSkA2tV0pl/Q/RsIns1IH76Z/yVfwVJjyeig0fm6jihiZpaZye2DERLNqzoxuLEhuft6/Xku3Y0vquiyCIsP4/m1z7P80nLA0NMaFh+WucgZwO/nfuezfZ/x9ta3GbB2AB2WdqD+wvpsvr4ZADVqRu8azdeHvmbO6TmsvLKSw3cOE58WT3y64XW627nzepWBBM+/zQ/fXefX6SE0PROPeYaCWsHwPuXwN6cg7Lm5h+jUaLp6d811gv9gLrVbWSs8og+AWvtwEUsTJD24QgghRGlWxgMavQZ7voOTi/ngmWfZfiGC0zfj+Of0HZ71z3kBk6plqzIiYASXLl9CrSrge+d6vaGXtvkgmD8f0gBzcxg8ONve28Mh93jpt0PEpWRQzsac34YG4e9W5qlCuBF/g5c3vkxHz468W+9dtOonf5yq7GjDsteaMGTuQc7ciuPtP48RlZDKkKZG6A1TqaD7dPillWGrnhG7M/f6fb/++/luC0VR+GiZYbuYcjbm/K+nf5YP1FrX+rxe923iUuNyvdCNKOZCdsM/H0G/BVCuCh91qsmuy5FcjUjkvSXHWf5aU8y1Rds/ZmduR0xKHJ/t+5xJhyeTmJ4AwKBagxgVNAqAf679w4mIE2hUGhwtHXG0csS7jDf2FobF9DRqDVNbTcXB3IHyVuUpb1UeGzObLD/f5SzL8VqL0VBzJyTtBA819UMiSP89GczNSR3yIt+E/cbwssML9ed/1ZVVqFDxbJVnc1VeURT+Pm5IcHv6O6M6tgfcGoCFXUGGWaSkB1cIIYQo7ZqPBKtysOVzajuZ8dz9pHbKpgtk6HLXIzsiYATtbdoDht7N0TtHcyvBiL2VADePwMwWEHXF0Iv7YC/YHHpvt50PZ+CcA8SlZFDJwZK/RjR+6uT2SswVhvwzhFsJt/Cw98jVOU52Fvz5SiOaeDuiKDBh9VkmbThvnC1PyvsY9vlNjIClw0BnWD35QXKbrktn2cVlT9Wz/uehG2w9b+gV+19PP5zs7s+vPbUUzqxApdfRqUon+tXol//XIYqPu6cMC04BVuYavu0biEat4vTNOH7ceqnIwkrX6Vl/+g7vLLpAyLnepCV6kJHkSmvXjgyuNZiGFRtmlp3UYhI7+u3g6ItH2dJ3C0u6LGFau2k0qtgos0xbj7bUd6mPp4Mntua2T+4NDbIBVxXE6lF5ajG3BfR6tr3cmiUXl9B9ZXd+P/c7Or2ugN8Bw9/W7Te208ClQa6T6uM3Yrh2f6G7fpXuQFrCY+fvmxJJcIUQQojSztIBWo6G+FtwYR0j21dDo1ZxNSKR5Udzv03Igw+I225sY921dfRc1ZOlF5caJ5G7dxV+7wtRlwyLozyYiwsw9Mlzb1cev8nL8w+Tkq7H28mGpa81wdvJ9qlCOBN1hqHrh3Iv5R7ftPiGnlV75vpcO0sz5g4N4lk/w4fSn7dd4aNlp3J9AyFbtXtC0MtwfTds/1+WQ/POzmPCvgn8cT5vWzmFRCby+ZqzAPSp50YH3/tDufU62Pwp03d8zOWYK/mPXRQvns2gWic4sxzCDgMQ4F6GN1v7APDztsscDY0u1JCuRSbyv3/O0fh/Wxix8AjbL0SgS3YjOfRVIi8PZc++Z2jl9BIt3FpknlPRtiLlLMvlfRRD0j3YMQnmPGP4WQfo+g2Ed4H197feCrSEoUPpWH8AM9rNoIxFGb46+BWD1g/icvRlI73qx7PWWjOpxSRe9n851+c8GJ4c4OaAq28LGPoPBDxfUCEWC5LgCiGEEMKwSNGQdeDXGy8nW/rUcwPgu80XSUnPW89Ed5/uzGg3A1szWz7d9ymvbX4tf1t7JEbBwt6QfA96/wruDQzPBwcbVjF9Qu/t/H0hvLv4OBl6hQA3B/4a0YRKZayeKoRF5xYxYO0AkjKS+L7N93Ss0jHPdVhoNfzwQh0G3Z/XuPjwDUYsPEpymhF6fjp8CZXqQFriw1Wmgf41+uNq68r3R7/nRtyNXFWl0yuMXHKcpDQdbmWtCO5S6+HBK9vYmRbONBstv5yZk/+4RfHT/lNQaWDj2MyfpTfb+ODv5oBegZGLj5OUZvx9lv8tJV3H38du0m/mPlpP3s7MHVeJTEhDq1bRwbcCc4cE8deIxpS3NScqMY0XZu3nr8O5+/l+rHvXYN0o+NYXtn0Bcbcg5rrhWFlPGPsVXMmAKB2oHs69beralBXdVvBirRc5HXmaPmv6sO/Wvvy/AU9gpjGjbeW2WXqrs5OWoc+c99+jjitozaFyE8PUFBMmCa4QQgghDB98PJtmPny7bVXMtWpuxabw+4HQPFf34INfD58e7Lm1hx4re3Ax+mLe40pLgj/6wb0r0OkbqPGveWfu7nDhwiO9t4qi8N3miwSvPIOiQFMfR35/uRHlbMzzdOmk9KTM3md/J3/8nfyZ13Felp6ivNKoVXza1ZcPnjFsL7L53F1enHOA2KT0p64TAK2FoWem01eGubn3WZtZ81mTz0jOSGb8vvG5Gqq8IVThaGgMKhVM7RuInaVZ5rGUw3OY6FgOa40V79d7P38xi+LJqTrUHQSh++D8WgDMNGqm9g3EQqsmJCqJievOFcilz92OY/zK0zT4cjPvLj7OgWuGPbk9Ha0Z3bEGe8e0YeaL9Wldw5kgz3KsfLMZNSvak65TGLX0JF+uPYsur1sarXwTfqwLB38BRx/oNQfePgblvB6WcXeHwUPgp0TweTHL3xxrM2s+DPqQhZ0W0tKtJXWc6wAYZ+TKv9xNvMupiFN5qnfHxQiik9LRqFV0rWFr2AYqvWj3NS4MkuAKIYQQ4qGwIzCrLZUywnixkaGncdq2yySk5r3Hxs7cjs+afsa0ttNoUqkJ3g5Psdfs3h8h7BA0fRca5DwsT69XmLDqDN9tNswV7Ojrwq9DgrC1yP26mun6dBafX0yn5Z3YdmMbALXL12Zex3n4ls/dthzZUalUvNmmKl/19EOtgsPXo+kzcy+3Y/P5wdPsfu90ejLs/g50hqS5QcUG9K3Wl0N3DvHXhb+yreL0zVhWhxiS4FdaeNGgSrmHB+Nu82v4Xm6aaXm9zhtUsKmQv3hF8dVqjGFefuzDXlEfZ1vGdKoBwML9oWy/EP6ks/MkITWDPw6G0u2n3XT6fhfz9l0nLiUDc62a7oGV+OPlRmz7oBWvtfLG2c4yy7muZaxYOqIxHXwNP4uzdl3j5fmHiU/J5oaRXm/Y//sBq7Lg3RYGr4ZXd4Jf74fbcP1bDiNG/Jz8+K71d1hqDTF+eeBLvtj/BQlpCXl7Q57gr4t/0X9dfw7fPZzrc/6+Pzy5ZTUnyt3ZAwt6wIm8TVcoiSTBFUIIIcRD+gy4eRg2T+D1Vt7YmGuISkzj193XnrrK5m7NmdJqChq1BkVRGLt7LCsurchdT0Sz9+C5b6Ht+ByLpuv0vLfkOPP2GYYWPh/kzs8D6mKhzd0+sIqisPn6Znqu7MkXB75ArVKToX+Y2Odlz83ceL6BBzMG1sNCq+bi3QR6TdvL5XAjbMVycBZsHg9bPs18amT9kVS0qcjii4uzLIaTlqHn4t14/jl1mx+3XOKNRUfRK1DDxY6R7atlqfbGoenMsbfDx8qZ/jX75z9OUXzZVYD3zhhWWP+XQY09aeZj2Mv5w6UniU5Me6rqFUXhaGg0o5eepMGXmxmz/BQnwmIBw8/ehC61OPRxO757vg6NvR2z/d2zsdAyfUC9zHnCW8+H03PaXkKjkrIWTE+BI7/Bzw1gdjtIvf+71u5TGLgUqrTIMvrhEQ9GjIQuhxnNMhd0e5x0fTpXY6+y+MJiuq3sxtbQrbl6X55Er+hZc3UNzlbO1HWum6tzYpPT2XTuLnB/ePJVw806vEx7gSmQbYKEEEII8W8eDaFmVzi3CsfGRxje3Ivvt1xi1s6rvNioMmXzOMz3vyKTI9l7ay8rr6xk0/VNjG88/vE9gWFHwLWuYeh0/ZdyrDc5Tcfrvx9h24UIAEa09GZ0x+q5TkovR19mwr4JnIg4gbXWmjcC32BQrUFYm1nn6fXl1TO+LiwY1pDh8w5xKzaF3jP28euQIOp6lH36Shu9BudWG3q/PZpAjc7odea85fsV8fF2TN54icvhCVwJT+D6vaRHhnRqVfBtv8BHbgxsK+NIWpiKj5t9iZn6MT1cwrSY3//ZT4k1zMm1sEWtVjGpjz8dvt1JeHwqY1ee5qcX6uT69yw6MY0Vx26y+NANLvxrX10bcw1dAyvRL8iDADeHPN9MUqtVfNChOlUr2DJq6UkuhSfQ7efdTB9Yj0YVgMNzDEOQEyMMi+oFDXu4iJQ6j/19aUlw5xRc2wE+bR9bxExtxuxnZrP80nKmHp7KO9veoX3l9nzc8GPKW5XP2/WAo3ePcjPhJkNrD0Wjzt0Nu39O3SYtQ4+dhZb2NZ1h21YoWwXKGWGLsmLOKD2469evp379+vj7+9OoUSNOnDgBGO7OTJgwgWrVquHn50fr1qZ/x0AIIYQo8dpNALUWNo5jeDNPylqbEZ+awfQd+V8118naiRXdVtDVuyu7bu6ix6oerLy8Mmtv7sklMLuNIUHLhdjkdF6ccyAzuR3TqQYfdaqRpw/JNmY2XIq+xAs1XmBdz3WMCBhR4MntAw2qlGPJiMZUsLcgJimd/rP2s+183od/KopCeHwKe0NiWeb1OYkaBxIXv0yPL//Ab8JG3pp3m4+XX2T69itsOn+Nq5GJmcltGWsz6lcuy/NB7rwXqKFmRftH6h9U7x1WdltJUKVGjxwTJiriAvxQB3Z/m/lURQcrPu9eG4C1J2+z6kT224Hp9Qp7L0fy1h/HaDhxC5+tOZuZ3NbxKMPXvfw4+Ek7/tfTn0D3MvkaKdEt0JUlrzbGyc6C6KR0Bs7eT8z0Z2Dbl6C1go5fGXqm240HqzJPdxH/vobvp7If7q9WqeldrTcru6+kfeX2bLq+iY92ffRUl1x9dTUAXby65Pqc5feHJ3fyc8Ey/jrEhJr89kAP5LsHNzo6mgEDBrBz5058fX3ZtWsXAwYM4PTp0/zwww+cPHmS06dPY25uzp07+VhBUQghhBCFw9Eb6g+DgzOxu7KG11sF8uW6c8zbG8JLTavg4mCZcx3ZcLBw4MtmX9K+cns+3fcpY/eM5VbCLV4LfA2u7oC/Xwd7V6jdK8e6wuNSGPTrQc7fiUetgq96+tM36PFbBmU5LymcacenUaNcDZ6v8TwVbSuyqc8m7M0fTewKQw0Xe5a91oRBvx7kakQiw+cf5pte/vS6v5r1v+n0CmHRSVwOT8j8uhJh+B6X8nDY5Gr1q/xm/g3jU7+hDxNIR0slB0tsK+wkUruBl71+pk4lT3ycbXG0Mc9MLDZsuJ3leqm6VNSXtmLm2QSvMl6IUsTRB2ycYd/PhpEUDq4AdA2oxMazd1l78jbj/j5NgyrlqOiQdYXy8LgU/joSxpLDN7j+r+HCZazN6FHHlX5B7tRwMf7vWyCX2Nz0HANOBXL6Zhxj7j1L2+rl6N7/dbRm+RuBAhj+PrrWM4ySeHbqw57uJ3CydmJqq6lsCd2Cq61r5vMRSRE4WTvleLmUjBQ2hGygZrmaVC1bNVch3riXxMH7C3T1qOMGV1cYDni3ydX5JV2+E9wrV67g6OiIr69h0YXmzZsTGhrK0aNHmTRpElu3bsXc3PDD5OLikt/LCSGEEKIwtBxt6KG4d4UXG3djzu5r3IlL4Yetl5jYw88ol2jl3oo6znX49si3dPPpBnfPoCweCGbWqAYszfww/SShUUkMnHOA0HtJmGvU/PBCHTrWzv6zRkJaAr+e/pUFZxeQokuhnUc7nq9h2BOyqJLbB9zKWrN0RBOG/naIEzdieP+vE9yMSaZKeRtDIhthGFZ8NTKRtIwnr4asVauo7GiNhXMH9qfcpVbcHlY9Vx0PTx9sLLTsDDPjjS3LOZkymxFVpuXYYzbj4GS2nV7A9CO1qDhgubFftijO1Bpo/xks6mPoBe0+DTDMR/+ye20OXbtHeHwqo/46yfyXGqBXFHZcjODPQzfYej48y/D3Jt6O9Atyp4OvC5ZmuRtmm2t6HVz4xzDq48Z+HNRm/PXWGT5Yd5O1pxryzzlYteA4P75QBwcrIwyv9+8H/3wIFwxbq+VGW4+Hw5m3hm7lw50f8lrAawzyHZTtkP+E9ATaerQl0Dkw1+GtPG7ova3kYEnDKuUgxgzKVwPP5rmuoyRTKflcwzo2NhYvLy9Wr15NkyZNWLVqFd26dWPevHkMGzaMiRMnsnTpUgBGjhxJv379Hqlj6tSpTJ06NfNxTEwMy5Yty09YBS4lJQVLy/zdwRZFT9rRNEg7lnzShsWTRpeMTmPoldl1S8/CC3rUKvi0gQZn60eTovy0o2VqJA1Pj2WVRQarnf3o6jgUe83jE069onAyUuH3i3ri0sBSA6/7qale9skzrzKUDPYn7WdTwiYSlUQqaCvQ2bYztSxqGX3xqPxK1SnMPK3nzL3sP6JZaKCCNVS0VuFiraKijeHfTlaG7YgAVIoOlT4DvcYiy7l/xvzJ4ZTD9LPvR5B1UJZj/27H8IxwpkZMwjstlY9sXiCqfGMjvlJRkIz2d1VRqH/uC8rFnmaf/9fE23hmHjodpefHk4abLYHlVYTEK8SkPjzV3hyauKhoWlH92L8Z+Y9Nj9vdzXjeXotNym30Ki23yjcnpFIXEq3dUBSFNSEKa+6vDF7BGt7w01Ahn7GYp8fS8vCr3CnfhFNV387z+SFpISyOXUyELoJK2kr0deiLm9mjozWepg0VRWHCQR13kqCjh4oe3ka+mVAMDBs2jLCwsCcez3eCC7Bt2zYmTJhAQkICjRs3Ztu2bYwePZrBgwfz6aefEhwcTEhICE2aNOGff/4hICAg2/rc3NyyDbo42LBhAx06dCjqMEQ+STuaBmnHkk/asJhLSyI9I51nph3jWmQiXQMq8cMLdR4plq92DNkDfzzPZ/5t+SvyCPbm9oxpOIZnqzybmYAmp+lYdjSMObuvcS0yEYByNubMG9oAPzeHbKtPTE+k8/LOaFVa3qjzBl29u6JVF9+1NtN1esb9fZqlR8JwsDLD29kWH2dbfJzuf3e2xcXeErU6Dx/Uz68Fpxrg6E1saiw9VvYgRZfC393+xtnaObPYg3ZUFIVXNr7C/jv7WRCdRuBbpx+/fYooloz6d/X2CZjZ0jCH88UVWQ6N/fsUC/c/3CtbrYLW1Z3pF+RO6xrOmGkKYNMWvf7h4lBzOkDEOQgaDg1eAbtHR3GsPXmb9/86Tkq6HgcrM6YNqEtTn7wv9pTFzaPg4g+ap/s7kqpL5ZeTv/DrqV/Ro2dQrUG8Hvg6VtqHQ73XrF9Dp2c65XphKYCTYTF0/WkPAJvea0HVCnZPFV9xllOuaJS/7K1bt85cQCo1NRUXFxeaNGmCra0tAwcOBMDT05OmTZty6NChHBNcIYQQQhQT0SHwayfM/HrxXvvXefuPY6w6cYsRLb2pVcmIQ3o9m8I7Jwi2LkfT61v4bP9njNk1ho0hG3nDbzRrjyWwYP91opMM+1uqVNC+ZgXGdK5JlfI2j63y4O2DXI29yvM1nsfGzIZp7abh5eCV5QNkcWWmUfNVL38+717bOAlC1BVYPBAq+MKwzThYODCu0Tje3vY2X+z/gh/a/PDIKRuvb2T/nf10j08g0G+oJLelWcUAaPS6YQXefyeXwMeda3LpbgIR8an0qONK7/puj8zHNZpbx+DALxB3EwavMjzXfRrYVgAL2yee9qx/RTzKWfPy/MPcuT9vf0KXWrzY2PPpY3HN3XY9T2KhseCtOm/RwbMDE/ZO4I/zf9C3Wl/c7R+uIbA3aS/fLv2Wae2mUb1c9VzVu/yoYXhybVd7Q3K7bxqEHYROk8A25zm/psAot1Ru3364GMHnn39OmzZt8PHx4YUXXmD9+vUA3Lt3j4MHD+Lv72+MSwohhBCiMDh4GD4UHZjJc+5p1Lq/uu6UjRfyX7deDxs+gYiLhsfW5QBoW7ktf3f7m2YV27HtxjZ6/j2QH7ZeJDopHUszNS82qszW91vxy6D6j01uL0Zf5PXNrzNs4zC+O/odCWkJAPg6+paI5PbfjNb75ehtmFd95xSsN6zk2tqjNa/4v8Jwv+GPFE9MT+SbQ99gh4b37sVC3UHGiUOUXB0nQoOXH9lWx9pcy+JXG7P1g1a81baq8ZNbXTqcXm7oqf2lFZxYBLo0SDX8XuPonW1y+4CfmwOr3mxKgJsDOr3CuJVnGPf3adJ1T57PnqPr+2DnpKc/H6hWthoLOi1gXqd5mcnt4TuHiUmJ4UjyEZIzkvF08MxVXek6Pavvr2rdo879Ic9nV8KlTU+/anQJZJQe3ODgYHbt2kVGRgaNGzdmzpw5APzvf/9j6NChTJtmmJA+evRoGjRoYIxLCiGEEKIwqNXQ/nOY3xX11s8Z1eF/DP3tEFvOh3M45B71Pcs9fd1bJsC+nyA5Brr/DBjmj+27GsXsXdfYer4dWrsKgIrytpYMbuxJvwaVcLZ7fI/tncQ7/Hz8Z8O2Qyh0qtKJt+q8ha15zh9+S4UWoyB0HxyZC5Wbgn8f3qrz1mOLqlDRybMTntFhlCuvhbKehRurKL6ir0PsDfBsVvDXSk+Bn4MMW9xoLCBwIDR8xdCj/BSc7S1Z/GpjPlx6klUnbrFg/3WuRibwc/+6lLF+ihWWj8yFk4sNK76Xe/oVxjVqDb6OhgV7Y1JieGfbOwDEZcTRu1pvLP4zh/5Jdl2KICoxDY1aRdeASpASB2GHoOozpWoEhlES3FmzZj32eUdHR1atWmWMSwghhBCiqHi1NHxAOr2UVo3fIMizLIdCovlmwwUWv9Lo6RZpOvAL7Pke3BrAs5NJ1+lZd+o2s3Zd5fTNuMxiVawaM7x5FboFunI7KZQBG7rzfr336eDZ4ZHrvrvtXc5EnaGhS0Peq/9e5gdGcZ9aAz1nw4xmsPodQ5LgVA2Avbf2suPGDj5qYOjdtTaz5oOgD4oyWlEc6TLg146Gf791JMctcp7K7ZOQGAE+bcHMEqo/Czblod4Qw/d8sjTT8P3zgVR3sWPShgvsuRxF95/3MHtwED7OebwZ5tfXkOCeWgotP8x3bGDYRu3jhh/z9cGvAejm3S3X5644Zui9beZTHic7Czi/GRRdqdke6IECmPUthBBCCJPT/jNQqVFtHMeoZwxzwQ5eu8fOS5F5r+vcasMWG44+xPdcwC/7btHim2288+fxzOS2ibcjc4cGseHdFvQL8sDSTMOdxDukZqQyauco3t/xPncS77D9xvbMat+v/z7T201n1jOzJLl9Elsn6P2r4d/hZzOfXn5pOYvOL2J9yHp2J+4mMTUeYm8WUZCi2NJooek7EH8L9k8zXr26DDjzN/zaCWY2h7UjDVMYADp9BS0+MEpy+4BKpeKN1j7MGFgPKzMNIVFJ9Ji2h50XI/JWkVcrsHEyJLn5X7c3M7ZnvZ5lVfdVvFHujVxvDxSfks7GM3cA6Fn3/hZrV7YZvnu3NkpsJUXxXT5QCCGEEMWHc03DIjM25WngWYZW1Z3YfiGCSRvO09ynfO5X871zGpYNR2ftyPRKXzHj+xMkpGYAhv1buwRUYlizKtR2fXRV5MaVGrOi2wq+PPAlm65vYtP1TQD83vl3/J38CXIJeuQc8RieTeG905lzngHGNBjDwdsHGbt7LGn6NMrsiuP9PfOh609QZ0ARBiuKnfovwcGZsPs7qDs4fwsXpSbAwV/g0ByICwONOQS8YFgNWV3w/XAda7vgXq4xL887zK3YFIbMPci452oxpIln7kamaLSG4ckHZsCto+Baz2ixlbEsQxXzKrku/8/pO6Rm6LEx1/BMrfsrSV/dBvZu4OhjtLhKAunBFUIIIUTudPgSmr0Hag0f3O/FPX0zjn9O38l1FafSXNhl25Fese8y+VAaCakZ2FloebWFF7tGt+bbfoGPTW4fcLRyZGqrqUxqOQlfR19G1htJtbLV8v3SSp0HyW3cLbi4EUcrRz5u+DFp+jSsVdYMiwwHRQ+VmxRtnKL40ZpD2/GQFg87vn66OvS6h//e/S3oM6D1J/DeGegxI98rFOeFbyUHVr7ZjLoeZdAr8Onqs3y84hRpGblcfMq/r+H7yb8KLshcWHF/9eSOtStiZX5/W6Hev0KX7wzLzpci0oMrhBBCiLyJv0vt9Es851+RNSdvM2XTBTr4Vnhicb1eYcepa8zYd4cDIdGA4QOhaxkrXmpWhX5B7tha5O0jSUfPjnT07JifVyEUBf7sD+Hn4eUtdPDsQFxaHPFnQilz+n/g1dqwLYwQ/1Wrm2H+/JG50PRtKOOR8zl6HVxYB/tngGsdeOYLw+rHQ9aAU01D4lxEnOws+OOVRoxZforlR2/yx8EbXI1IZMbAepS1ySGuSnUNC7hV71Q4wT7GrZhk9l+LAv41PBmeejGukk56cIUQQgiRe3o9zO0Ifw3h/ZaV0KhVXI1IzNx78d9S0nUsOhDKc1PX47isJ13DJgMK/m4O/PhCHXaMasWwZlXynNwKI1GpoNM3kJYMnzdCZa2lb60XaH79qKFH7et1oNFANekhF/+hUkGnr6HfQnBwz75s0j3DgnLfBxr2Yr5xwLA68gMVA4o0uX3AQqthSp8APupUA5UKDly7R7ef93Dxbnz2J6pU0GasUYcn59XK47dQFKhgb0EjL0fDk2GHDSvUl0KS4AohhBAi99RqaPI2JEZQ5cIc+tQz7LX43eaLpOsMi6xEJaTy3eaLNP1qK+NWHOeD2K/wV1/DrnwlFr/SmJVvNKVLQCW0xtrjVTw99wYQHwDl1dDZAvR63BL2Q4IezqcbEtxWrYo6SlEctX4eaj0HWq3h5+S/X9WqGfZdnloLNgVDRgq0GmMYhvzs5KKO/rFUKhUjWnoz68X62JhrCL2XRM9pe9l6/m7OJ2ekwe0TBR/kfyiKwopjYQB0D3RFo1YZest/7w0LehR6PMWB/M8ihBBCiLyp8yKUrw77fuK9RnaYa9Xcik1h1TU9Y5afoslXW/lu8yWiElOZaD6XNprjxNXoR9d3fqShl+PTbSskCs57C+FCBviZQXNzkrVl4Vg66DEMYx43rqgjFMVRy5aGRLaiCjqaG0Z3KHqoqgYXreHGiHMtqNoOes4yJLatPgK7J09nKC7a1arAsteb4FbWioTUDIbNO8ysnVdRslsp+c8XDKtApyUWXqDAmVtxXLybAECPB8OTbx+H5GjDKs+lkCS4QgghhMgbjdawbVB6EhUOT2FQo8oAbLyh8MfBUFIz9DjamPNHtV30U28F77bY9/m51C10UmJ4eIBdb4jWQwUNh51eg62pYG4OQ4eCew5DUEXpFBxsuAHip4Ugc+hqCW/ZwvPW0FhruDGi1hiGMfv3LRbDkPOihos9K99oSgPPcigKfLnuHB8tO4VO/4Qkt2oHSE+E8+sKNc4VxwzTQ2pWtKeGi73hyVK6PdADkuAKIYQQIu+qdQDP5nD8d97w0+NgZQaAl5MN/+vpx563/Ggc/odhfl3feaAxK+KARbbGfQHzU2Bp8sMbEXq99N6KJ3N3hyFDYJ8CKQrUMQczYHcGlO9pEjdGHG0tWDi8IX3rG6ZiLD58g3cXHydd95gVlmv3BJXGsCduIcnQ6Vl5/BYAPev8a3Gpq9vBzBrcGxZaLMWJrOoghBBCiLxTqaDDRIi8SFn3Wqx+04vVm3fyWp+WD/fEfWkDWJUDC7uijVXkzN0deg+B+fMNj83NYfBgk0hSRAEKDobffoNFSWCvgvMZoNLC3IlFHZnRmGvVfN3LH9cy1ny7+SKrT9wiLUPHjy/UxVz7r75Cm/Lg0xYub4GEiPztD5xLe65EEZmQiloFXQMrGZ5MTYDQ/YbhyVqLAo+hOJIeXCGEEEI8nZa9IbAfmJnh4WyHT+It1O7m4GJmmJvXrFuJmG8n7gsONvTagvTeitx50It7VwNnMkBjmsPaVSoV77SryuiONQDYcOYuIxYeISVdl7Wgfz9QdHBmRaHEteKoYXGppj7lqWBvaXgy/g5UqGVItkspSXCFEEII8XQeLDJTHuhgjlV6JLxgCQMtwUJW3y1xHiQrYJJJiiggpejGyGutvAl+rhYAW8+H8/L8wySn/SvJrd4JylczzD0uYImpGWw4Y1jduce/hyeX94FXd0LDEQUeQ3ElCa4QQgghns6DRWb8zaCBOY3vTAUbFaxLgXRZfbdECg42bPsibSdyq5TdGHmpWRW+6F4bgF2XIhky9yCJqRmGg+Y28MZBCBpW4HGsP32H5HQdVmYaOvi6PFqgFC/qJwmuEEIIIZ7Ogw+2BxRI0mOmJMOGVLiiLhUfdE2Suzu4uEjbibwJDjbse1tKbowMbFSZb3r7o1LBgWv3GPTrQeJS0g0HHySW2W0pZAQPVk/uWNsFG4v7yyrF3YaFveHy5gK9dnEnCa4QQgghnl5wMCTr4c9kTpbrDwfSTH6YohDiP9zd4cKFUnVjpG99d77rF4hGreLI9WgGzj5ATFKa4eCGT2BmiwJLcu/GpbDnSiTwn+HJV7fB5U2QGFUg1y0pJMEVQgghxNP71yIzt23qy96pQohSo1ugKz++UAetWsXJsFj6zzpAVEIq6HVw5yTcPFog1115/CaKAk52FjTxdnx44MH+t16tCuS6JYUkuEIIIYTIn1K0yIwQQvxbZ7+KzBhYD3ONmrO343hh1n7u+XQ3HCygPXGXHzUMT+4WUAmt5n46p9cbenAr1C71q9dLgiuEEEKI/Clli8wIIcS/tatVgV8G1cNCq+bi3QR6/51MRlkfOLMcdBlGvda523GcvxMPQI+6/xqeHH4GEiNKfe8tSIIrhBBCCGOQ1XeFEKVYq+rOzB0ShJWZhqtRSfyWEGRIOK9uN+p1HiwuVb2CHbUq2j88cGWr4bt3G6NerySSBFcIIYQQ+Ser7wohSrkmPuWZP6wBthZa5iU0ACDuzAaj1a/TK6w8bkhwe9R1RfXvrYB8e8KzU6ByE6Ndr6SSBFcIIYQQQgghjCDIsxwLhjUgxsKVdqnf0P7MM1yJSDBK3fuuRHE3LhWVCroFVsp6sIw7BA0HMyujXKskkwRXCCGEEEIIIYykjkdZ/ni5EZFWVbgbn0a/mfu5cH/ebH4sPxYGQGMvRyo6/CuRjbtl2ANXAEZKcNevX0/9+vXx9/enUaNGnDhxIsvxrVu3otFo+O6774xxOSGEEEIIIYQotmq7OvDnK43oZX2c55P/5Plf9nH6ZuxT15eUlsH603eA/+x9C7B/GkytAeHn8xOyych3ghsdHc2AAQOYN28eJ0+eZNKkSQwYMCDzeGxsLB999BGdO3fO76WEEEIIIYQQokSo4WLPZ+5HeddsGZqkSPrP2s+JGzFPVdfGM3dJStNhaaamk1/FrAevbAfr8lC+Wr5jNgX5TnCvXLmCo6Mjvr6+ADRv3pzQ0FCOHjVsbPzmm28yduxYHB0ds6tGCCGEEEIIIUyKTVB/tOgZYHOYuJQMBsw+wOGQe3muZ/n91ZOfqeWCrYX24YGEcLh7Crxbg1pmnwJocy6SvapVqxIVFcXevXtp0qQJq1atIj4+npCQEK5evYparaZr164sX778iXVMnTqVqVOnZj6OiYlhwwbjrThWEFJSUop9jCJn0o6mQdqx5JM2NA3SjqZB2tE0SDsWD2qdGa3VlrxosYPfdW2JTMlgwKx9vOGnpnrZ7BPSB20Ym6qw66IOAA/lTpZ2rRixC3/gVJITt6S9ASMkuA4ODixdupQxY8aQkJBA48aNqVWrFgkJCUydOpXt27fnWMfIkSMZOXJk5mM3Nzc6dOiQ39AK1IYNG4p9jCJn0o6mQdqx5JM2NA3SjqZB2tE0SDsWI6n/UP7EItYOrszzyyK5FpnIz6dh1qC6tKjm9MTTHrTh7F1XUThHeVtz3u3XFq3mX4nxir8B8Ov2Fn72lR5fUSmT7wQXoHXr1rRu3RqA1NRUXFxciI6O5vbt2wQGBgIQGRnJqlWriIiI4MsvvzTGZYUQQgghhBCiePPvAycWUSFkFYtfGUn/2Qe4HJ7A8HmHmT6wLm1rVsj29BX3hyd3CaiUNbkF0KWCix9IcpvJKAO1b99+uCz1559/Tps2bXjnnXe4e/cuISEhhISE0Lt3b4KDgyW5FUIIIYQQQpQeVVpCm7Hg1xdne0v+fKURNVzsSNPpGbHwCOtPP3mLn4t34zlzKw6AnnXcHi3Q+1d4ZUdBRV4iGSXBDQ4OpkaNGvj4+HD9+nXmzJljjGqFEEIIIYQQomRTa6DFKCjvA0B5Wwv+eLkRfq4OpOsU3lh0jFUnbj321OVHDb23Ps621Ha1f3L9IpNRhijPmjUrxzK//fabMS4lhBBCCCGEECVPShxEXgS3+pS1MWfh8IYMmXuQY6ExvPvnMdIy9PSu97CXVq8orDxuSHB71HFFpVJlrW/TeLB0gOYjEQ/JWtJCCCGEEEIIUdB+exYW9QVdOgAOVmYsGNaQBp7l0CswaukJFh0IzSx+KUbhdmwKAN0C/zPHNiMVDv4CV7YWWvglhSS4QgghhBBCCFHQanWFpCi4si3zKVsLLb+9FERTH0cUBT5ecYrf9lwDYP8dBYCGVcrhVtY6a103DkJ6Eni1KqzoSwxJcIUQQgghhBCioPn1MXw/uTjL09bmWuYMDqJVdcOWQRNWn+XHLZc4GmFIcHvWdX20rqv3k2Tv1gUWbkklCa4QQgghhBBCFLSynuDeEM6vhdT4LIcszTTMfLEe7WsZtgyasukiKTqw0Krp5Ffx0bqubAXLMlAxsMDDLmkkwRVCCCGEEEKIwuDfFzKSDUnuf1hoNUwbUJdn/5XQtqtVAXtLs6wFk+7BrePg1VJWUH4Mo6yiLIQQQgghhBAiB7494eh80Fo+9rCZRs33zwfiYG3GyiOhvNzc69FCWgvo+QvYPaZnV0iCK4QQQgghhBCFwrocvLoz2yJajZqJPfxoYXWTQPcyjxYwtzH0BIvHkiHKQgghhBBCCFHYdBnZHn5k31sARYGoK4bv4rEkwRVCCCGEEEKIwrT0JZjbKe/nRV2BH+vClk+NH5OJkARXCCGEEEIIIQqT1hLCDkLkpbydd2Wr4btbkPFjMhGS4AohhBBCCCFEYcrcE3dJ3s67ug1UGvBsZvyYTIQkuEIIIYQQQghRmKq0AFsXOLUk9/NpdelwbRe41QdLh4KNrwSTBFcIIYQQQgghCpNaA369IToEwg7l7pyww5AWD95tCjS0kk4SXCGEEEIIIYQobA+2+gndl7vysTfA3Ba8WhdcTCZA9sEVQgghhBBCiMLm4g/vnoIyHrkr798XanU39P6KJ5IEVwghhBBCCCEKm0qV++T2Aa15wcRiQmSIshBCCCGEEEIUBUWBw3Nhx6Tsy13bBRvHQsyNwomrBJMEVwghhBBCCCGKgkpl2Cpo1xRIjX9yuTMrYO+PoEsrvNhKKElwhRBCCCGEEKKo+PeBjGQ4t+bJZa5ugzKVoZxX4cVVQkmCK4QQQgghhBBFpVZ3UJvBycWPPx4dAveugndrQ4+vyJYkuEIIIYQQQghRVKzLQdVn4NoOiL/z6PEr2wzfZXugXDFKgrt+/Xrq16+Pv78/jRo14sSJEwAMHTqUatWqERAQQNOmTTl0KJebGAshhBBCCCFEaeHfBxQ9nF726LGr20ClhiotCj+uEijf2wRFR0czYMAAdu7cia+vL7t27WLAgAGcPn2aHj16MGvWLLRaLWvWrKFPnz6EhIQYIWwhhBBCCCGEMBHVOkLHr8C356PH6g6CSnUNPb0iR/lOcK9cuYKjoyO+vr4ANG/enNDQUI4ePUrXrl0zyzVq1IibN2+SkZGBVivb7wohhBBCCCEEAGZW0Oi1xx/zaWf4ErmiUhRFyU8FsbGxeHl5sXr1apo0acKqVavo1q0by5Yto2fPh3cgxo0bx8mTJ1m5cuUjdUydOpWpU6dmPo6JiWHZssd0zxcjKSkpWFpaFnUYIp+kHU2DtGPJJ21oGqQdTYO0o2mQdiyZLNLuYZUSTox9DVJSUrBXp5BmZm8YoiwAGDZsGGFhYU88nu+uVAcHB5YuXcqYMWNISEigcePG1KpVK0sv7cKFC1myZAk7d+58bB0jR45k5MiRmY/d3Nzo0KFDfkMrUBs2bCj2MYqcSTuaBmnHkk/a0DRIO5oGaUfTIO1YAikKfFsb1GrofZINGzfS+uYMiA2Dd04Ynhc5MspY4datW9O6tWFVr9TUVFxcXKhVqxYAixcv5tNPP2XLli1UqFDBGJcTQgghhBBCCNOiUkHtHrD3R7hxAI0uGcIOgndbSW7zwCjv1O3btzP//fnnn9OmTRt8fHxYsmQJY8eOZfPmzXh4eBjjUkIIIYQQQghhmvz6Gr6fXEK5uLOgzzDsfytyzSgJbnBwMDVq1MDHx4fr168zZ84cAAYMGEBKSgrdunUjMDCQwMBAoqKijHFJIYQQQgghhDAd1aqBWx0I18HO2ZQP22V4vttboNEYjoscGWWI8qxZsx77fHp6ujGqF0IIIYQQQgjT1rIlhITAqXRoa4lHwl6I0xsSXjMzaNWqqCMsEWQwtxBCCCGEEEIUteBgw0JTp9Lhts7w3JUMw3dFgXHjii62EkQSXCGEEEIIIYQoau7uMGQIJJvBL4lscJsM61PA3ByGDjUcFzmSBFcIIYQQQgghioPgYNDrDf9WqSENw2Ppvc01SXCFEEIIIYQQojh40Itrbm54LL23eSYJrhBCCCGEEEIUF//uxZXe2zyTBFcIIYQQQgghiosHvbggvbdPQRJcIYQQQgghhChOgoNBq5Xe26cgCa4QQgghhBBCFCfu7uDiIr23T0ESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkGlKIpS1EH8l4WFBU5OTkUdRrYSEhKwtbUt6jBEPkk7mgZpx5JP2tA0SDuaBmlH0yDtWPJJGz5eREQEqampTzxeLBPcksDNzY2wsLCiDkPkk7SjaZB2LPmkDU2DtKNpkHY0DdKOJZ+04dORIcpCCCGEEEIIIUyCJLhCCCGEEEIIIUyCJLhPaeTIkUUdgjACaUfTIO1Y8kkbmgZpR9Mg7WgapB1LPmnDpyNzcIUQQgghhBBCmATpwRVCCCGEEEIIYRIkwRVCCCGEEEIIYRIkwRVCCCGEEEIIYRJKdIKbkpJC9+7dqVatGgEBAbRv357Lly8DEB4eTseOHalatSq1a9dm586dmecNHTo085ymTZty6NChzGOffPIJfn5+BAYGEhgYyJ9//vnE6yclJfHCCy/g4+NDtWrVWLp0aeaxX3/9FT8/P7RaLd999122r8NY9ZRUpaEdhwwZgqura2Y8o0aNyuvbVKyVhja8dOkS7du3JyAgAF9fXxYvXpzXt6nYM5V2zK5sXuIpqUpDO/bo0SMzlsDAQNRqNatWrcrDu1T8mUo7fvzxx9SoUYOAgADq16/Phg0bMo+tXbuWevXqYWFhwbvvvpvHd6j4Kw1tOGHCBJycnDLjGTBgQF7fpmKvNLTj3bt36dmzJ/7+/tSsWbPk5xxKCZacnKysXbtW0ev1iqIoyo8//qi0bNlSURRFGTp0qDJ+/HhFURTl4MGDiqurq5KWlqYoiqKsXLlSSU9PVxRFUVavXq1Urlw5s87o6OjMf4eFhSl2dnZKRETEY6//6aefKoMHD1YURVGuXr2qODk5KZGRkYqiKMrx48eVs2fPKi+++KLy7bffZvs6jFVPSVUa2nHw4MEm236KUjrasEmTJsqsWbMURVGU8PBwxcPDQwkLC8vxvSlJTKUdsyubl3hKqtLQjv926NAhxdHRUUlNTc22vpLGVNpx3bp1SlJSUuZ59vb2SkJCgqIoinLhwgXl+PHjyieffKK88847uXlbSpTS0Ibjx483ybb7t9LQjv3791c++eQTRVEUJSEhQQkICFAOHjyY85tTTJXoBPe/Dh06lPnDY2Njo9y+fTvzWFBQkLJp06ZHzomIiFC0Wm3mD+C/nT9/XrG1tVXu3r372OvVqlVL2bdvX+bjPn36ZH4AfiA3iY2x6jEVptiOpan9FMU029DGxka5efNm5rEuXbooU6ZMyba+kq6ktmNuy+YUj6kw9XYcMWKEyX/AVpSS346Koig6nU6xs7NTrl27luX50pAkKYpptmFpabt/M8V29PX1Vfbs2ZN5/K233lLeeuutXNdX3JToIcr/9f3339OtWzeioqJIT0/HxcUl85inpyehoaGPPadz585otdrM53744QeqV69O3bp1+eWXX3B2dn7s9UJDQ6lcuXKO18iJseoxFabajt9//z3+/v4899xzHD9+PM/1lySm2Ib16tVj4cKFAFy9epW9e/cSEhKS52uUJCW1HXOS23hMham2I0BycjJ//PEHw4YNK5D6ixNTaMe5c+fi5eWVpd7SxFTb8K+//iIgIIA2bdqwbdu2fNVfEphiO9arV49Fixah1+uJiIhgw4YNJfozjskkuBMnTuTy5cv873//y/U5CxcuZMmSJfzyyy9Znn/77be5cOECe/fuZeLEiURFRRk7XPEEptqOX375JVeuXOHkyZMMGzaMTp06kZCQUGTxFCRTbcN58+Zx4MABAgMDee+992jbtm2W/6hMjam2Y3GMpyCZcjsCLF26lGrVquHn51fUoRQoU2jHLVu28Omnn7J48WJUKlWhXLM4MdU2HDFiBCEhIZw4cYLPP/+cfv36cf369UKJpyiYajtOmTKFhIQE6tSpQ//+/WnVqlWJ/oxjEgnu5MmTWb58Of/88w/W1tY4Ojqi1Wq5c+dOZpmQkBA8PDwyHy9evJhPP/2UTZs2UaFChcfWGxAQgKurK9u3b+fs2bOZE8HfeOMNADw8PLL8Ev/3Go9jrHpMkSm3o6urK2q14detR48e2Nvbc+HChby8PSWCKbehp6cny5Yt4/jx46xcuZLY2Fh8fX3z+A6VDCW9HXPr3/GYotLQjnPmzDH53ltTaMcdO3YwdOhQVq9eTfXq1Z/qfSjJTLkNXVxcMDMzA6Bp06bUqVOHw4cP5+HdKTlMuR3Lly/Pb7/9xokTJ9i0aRMqlapkf8Yp6jHS+TVlyhSlbt26yr1797I8P3jw4CyTvitVqpQ56Xvx4sWKj4+PEhIS8kh9Z86cyfz35cuXFWdnZ+Xs2bOPvfb48eMfmfT93wniuRkTb6x6SjJTb8cbN25kltu3b5/i6OioxMTEZFtfSWPqbXjnzh1Fp9MpiqIo69evV9zd3TMXazAlptCO2ZXNSzwlmam3o6IoyqVLlxQbGxslNjY2V/WURKbQjjt27FDc3d2Vo0ePPrGMKc/jNPU2/Pfnm4sXLyrOzs7KhQsXsq2vJDL1doyMjMyM++jRo0qFChWUW7duZVtfcVaiE9wbN24ogOLl5aUEBAQoAQEBSoMGDRRFMXwYbd++veLj46PUqlVL2bp1a+Z5Wq1WcXNzyzwnICAgczWyZ599VqlVq5YSEBCg1KtXT1myZMkTr5+QkKD07dtX8fLyUqpWraosXrw489jcuXMVV1dXxdraWnFwcFBcXV2f+MfdWPWUVKWhHdu2bavUrl1bCQgIUBo1apTldZiC0tCGs2bNUry9vZVq1aoprVq1Uk6dOpWv96w4MpV2zK5sXuIpqUpDOyqKoowZM0YZNGhQvt6r4sxU2tHHx0dxdnbOEs/JkycVRVGUzZs3K66uroqdnZ1ia2uruLq6KitXrsz3e1dclIY2HDRokOLr66sEBAQodevWVf766698v2/FTWlox3Xr1ik+Pj5KjRo1lKCgIGXHjh35ft+KkkpRFKXo+o+FEEIIIYQQQgjjMIk5uEIIIYQQQgghhCS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghhBBCCCFMgiS4QgghxBP4+voyb968XJVt1aoVY8eOLeCIhBBCCJEdSXCFEEKUSra2tplf5ubmaDSaLM/t2rWLM2fOMHjw4KIONVsqlQqVSsX58+ezPL9t2zZUKhVubm6ZzyUnJzNq1CiqVKmCra0t5cuXp1mzZmzbti1LfVZWVlnei08++QRfX9/Mx5aWlqjV6ixlfv/990J7zUIIIcSTaIs6ACGEEKIoJCQkZP577Nix7N69m+3btxddQP+iKAo6nQ6tNnf/TdeqVYuZM2fy7bffZj43ffp0fH19iYmJyXxu5MiRHDt2jM2bN+Pt7U18fDy7d+/GysoqS32rV6+mXbt2WZ778ssvM/89e/ZsvvjiC0JCQvL+4oQQQogCJD24QgghxBN4enoye/bszMfnzp2ja9euuLi44ODgQKNGjbhx48Zjz/3888/x8vLi9OnTAKxbt46GDRtStmxZqlatyg8//JBZNiQkBJVKxZw5cwgICMDa2prDhw/nOs5XX32V+fPnk5KSAsCdO3f4559/GDJkSJZyu3fvpm/fvnh7ewNgZ2dHp06daNSoUa6vJYQQQhRnkuAKIYQQuXD37l2aN29O7dq1uXjxIvfu3ePHH398pPczJSWFAQMGsG7dOvbv30/t2rXZtm0b/fv3Z+LEiURFRbFixQomTZr0yLDeX3/9lTVr1pCQkECdOnVYtGgRZcqUyTG2WrVqUbt2bRYvXgwYeli7detG+fLls5Rr1aoVkyZNYsqUKezdu5ekpKT8vSlCCCFEMSMJrhBCCJELCxYswMXFhYkTJ2Jvb49GoyEoKChLEnn37l1at26NTqdj27ZtODs7A/Dtt9/y2muv0bZtW9RqNbVr12bEiBHMnTs3yzWCg4Nxd3dHo9FgYWFB//79swwxzs6IESOYMWMGOp2OX375hREjRjxSZurUqYwfP57169fTuXNnypUrR69evQgLC8tSrnv37pQpUybz69q1a3l8t4QQQoiiIQmuEEIIkQvXrl2jevXq2ZZZs2YNp0+f5ssvv8TS0jLz+UuXLvH9999nSRq/+uorbt++neX8KlWqPHV8vXr14sqVK0ycOBEHBweaNWv2SBkzMzNGjBjBpk2biI6OZteuXVy+fJmBAwdmKff3338TExOT+ZWfuIQQQojCJAmuEEIIkQuenp5cunQp2zLDhg3jww8/pHnz5pw6dSrzeRcXFz766KMsSWN8fDxnzpzJcr5a/fT/LZubm/PSSy8xfvz4x/be/pdKpSIoKIjhw4dz9OjRp76uEEIIUZxIgiuEEELkwqBBgwgLC2PcuHHEx8ej0+k4fPgwkZGRWcqNGzeO4OBgWrduzZ49ewB45513+PHHH9myZQsZGRlkZGRw+vRpdu7cadQYP/zwQzZu3PjI4lIPjB8/nm3bthEfHw/AhQsXmDdvHi1atDBqHEIIIURRkQRXCCGEyIUKFSqwc+dOjhw5QpUqVXB0dOStt97KXLn430aMGMH06dN57rnnWLduHd27d2fBggUEBwfj7OyMs7Mzw4cPfyQ5/q/ff/8dW1vbXMdYrlw52rVrh42NzWOPW1paMmrUKDw8PLCzs6NDhw40bNiQ+fPn5/oaQgghRHGmUhRFKeoghBBCCCGEEEKI/JIeXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkESXCGEEEIIIYQQJkFb1AE8joWFBU5OTkUdRrZSU1OxsLAo6jBEPkk7mgZpx5JP2tA0SDuaBmlH0yDtWPJJGz5eREQEqampTzxeLBNcJycnwsLCijqMbG3YsIEOHToUdRgin6QdTYO0Y8knbWgapB1Ng7SjaZB2LPmkDR/Pzc0t2+MyRFkIIYQQQgghhEmQBFcIIYQQQgghhEkolkOUs6MoSuZXUdPpdEUdQpFTqVSo1XKfRAghhBBCCFH0SkyCq9frCQ8PJyYmplgkt05OTly8eLGowygWzMzM8PDwwNzcvKhDEUIIIYQQQpRiJSbBvX79Omq1Gk9PT8zMzIo6HOLi4rC3ty/qMIqcoihERUURGhqKj49PUYcjhBBCCCGEKMVKRIKr1+tJSUmhatWqaLXFI2S1Wo1GoynqMIoFR0dH7t27h16vl+HKQgghhBBCiCJTIrKRB0OSVSpVEUciHudBuxSHoeNCCCGEEEKI0qtEJLhCCCGEEEIIIUROJMEVQgghhBBCCGESJMHNp/j4eGxtbRk2bFiOZbdv38769evzfc2QkBDKlCmT73qEEEIIIUThSNelF3UIQpQKxWPFpjzK0OmJSEgt0Gs42Vqg1eSc/y9evJh69eqxfPlyvv/+e2xtbZ9Ydvv27cTExNCxY0djhiqEEEIIIYqpdF06E/ZNIDkjmSktp8iaMkIUsBKZ4EYkpNL4f1sL9Br7xrShooNVjuXmzJnDuHHjmDlzJosXL2bYsGHExsby/vvvs3//fjQaDfXq1ePtt99mxowZ6HQ6tm/fTs+ePRk0aBCBgYHExMQAkJCQgJ2dXeZiTQMGDODChQukpaXh7u7OnDlzcHFxKciXLYQQQgghjGTh2YXUKFeDlIwUNl3fxLJLy+hdrXdRhyWESSuRCW5xcfbsWW7cuEGHDh3IyMjgq6++YtiwYbz77rtYWVlx8uRJ1Go1ERERODk5MWLECGJiYvjuu+8Aw1Dj7Hz33Xc4OTkB8NVXXzFhwgRmzJhRwK9KCCGEEKJwpOvTMVObFXUYBeJmwk2mHJ5CgHMAP7T5gdORp/n64NfUca6Ddxnvog5PCJNVIhNcJ1sL9o1pU+DXyMmcOXMYNGgQGo2Gzp078+qrr3Lu3DnWrFnDgQMHMveEfZCk5tWiRYtYsGABKSkppKSkUL58+aeqRwghhBCiuIlMjqTfmn68GfgmPar2KOpwjG7WyVlkKBm8FvAa9ub2fNXiK4asH8KonaP449k/sNDk/FlTCJF3JTLB1WrUuRo+XJDS09NZsGABZmZmLFq0CICkpCTmzJmT6zq0Wi06nS7zcUpKSua/d+/ezQ8//MC+fftwdnZm1apVBAcHG+8FCCGEEEIUoRknZhCeFI6tuS0rL6+kvkt9XG1dizoso7iZcJOVl1dS17kuDVwaAFDHuQ6vBbzGz8d/5oejPzAqaFQRRymEaZJVlJ/SunXr8PLy4ubNm4SEhBASEsL+/ftZsGABXbt2ZfLkyej1egAiIiIAsLe3JzY2NrMOFxcXFEXh7NmzAMyfPz/zWHR0NHZ2djg6OpKWlsbMmTML8dUJIYQQQhScq7FXWXpxKXWc61DWoixj94xl+vHpRR2W0cw+NZsMJYMRASOyLCr1st/LvFDjBfpV71eE0Qlh2iTBfUoLFy5kwIABWZ6rWbMmrq6utGzZktTUVPz8/AgMDOTjjz8GoEePHhw/fpzAwEA+++wztFotP/74I8899xxBQUGkpz9cPr5jx45Ur16d6tWr07x5cwIDAwvz5QkhhBBCFJjvjnyHTtHxfv33qe9Sn4YuDVl9dTVXY64WdWj5Fpsay6rLqwh0CqRRxUZZjmnUGj5u+DEe9h5FFJ0Qpq9EDlEuDv766y8cHBweef7o0aMADBo06JFjVapU4dixY1meGzp0KEOHDs18PHr0aADMzMxYvHhxlrJffvklAJ6enpkrLwshhBBClCRH7h5h241tPFP5GQKcAgB4u+7bDFg3gJ+O/8TUVlOLOML8cbBwYPFzi0nXp2e7JdA/1/5hQ8gGprScgkatKcQIhTBt0oMrhBBCCCEKTWJ6Im62brxb993M5/yd/Gnt3ppN1zdxJvJM0QVnJD5lfajpWDPbMkfuHmFL6BbmnplbSFEJUTpIgiuEEEIIIQpNC7cWrOmxBnd79yzPv1nnTVSomHVqVhFFln+zT81m1ZVV6BV9jmU/qP8BPmV8+OnYT5yIOFEI0QlROkiCK4QQQgghClyaLo1rsdcAHjskt1rZavyv+f+Y0HhCIUdmHHcS7zDt+DT+PP8nKp48NPkBS60l37T4Bq1ay+ido4lPiy+EKIUwfZLgCiGEEEKIArf4wmJ6rOzBnpt7nljmWa9nKWNZpvCCMqI5p+aQrk9/ZOXk7FQtW5VR9UdxM+Emn+37DEVRCjhKIUxfrhLct99+G09PT1QqFcePHwcMe7Z2796datWqERAQQPv27bl8+XLmOeHh4XTs2JGqVatSu3Ztdu7cWSAvQAghhBBCFG9xaXHMPDkTJ2sn6lWol23ZxPREph+fzt6bewspuvy7m3iXZZeW4evoS3PX5nk6t2/1vjzn9RxNXZsWUHRClC65SnB79+7N7t27qVy5cpbnX3nlFS5cuMCJEyfo1q0bw4cPzzz20Ucf0ahRIy5dusTcuXPp379/lm1whBBCCCFE6TD75GxiU2N5u87bWGotsy2bkJbAnNNzmHpkaq7mshYHv57+lXR9Oq8Hvp7r3tsHVCoV/2v+P7r7dM/zuUKIR+UqwW3RogVubm5ZnrO0tKRz586Zv4iNGjUiJCQk8/iSJUsYMWIEAEFBQVSqVIkdO3YYKeziIz4+HltbW4YNG5ar8iEhIcyYMSPX9c+cOZMaNWoQGBhIVFTU04YphBBCCFEkbiXc4vdzv1OzXE2e9Xo2x/IVbCrwQo0XuBB9gY0hGwshwvxJyUhh3bV1T9V7+1+3Em7x6b5PSdOlGSk6IUoflZKHwf6enp78/fffBAYGPnLsxRdfpFy5cnz//fdERUVRqVIlUlNTM4/37duXjh078tJLLz1y7tSpU5k69eGeZzExMSxbtixLGScnJ6pUqYJaXTymDSuKgkqlYv78+fz555+cOXOGM2fOYGtrm+15u3btYsyYMezevTtX12nQoAE//fQTDRo0yFN8Op0Ojcb4e6plZGSg1WbdPlmv13Pt2jUiIiKMfr2ClpKSgqVl9neSRfEn7VjySRuaBmlH02DsdlwUs4ijKUd5teyrVLWomqtzEvWJTIyYiJ3ajlHlR6FRFe99YhP0CSToEnAxc8lXPZsSNrEhYQMtrFvQ1b5rvuqS38eST9rw8YYNG0ZYWNiTCyh5ULlyZeXYsWOPPP/ll18qjRo1UhITExVFUZTIyEjF3Nw8S5k+ffooc+bMydV1XF1dszzOyMhQzp49q2RkZGQt+FODx39FXjYcj7z85DIPXNr05GPZiImJURRFURo1aqSsXbtW6dq1qzJ79mxFURRl7ty5Srdu3TLLrl69WmnZsqWiKIpSvXp1xdLSUgkICFC6dOmiKIqiHDp0SGncuLHi5+enBAUFKbt371YURVF69eqlmJmZKdWqVVN69eqlKIqizJ8/X/Hz81P8/PyUzp07K2FhYZnXbNWqldKzZ0+ldu3ayt69exVA+eKLL5QGDRoolStXVlasWKFMnDhRqVevnuLj46Ns27YtM8b169crTZs2VerWrasEBQUpW7duVRRFUbZt26bUqlVLeemll5SAgABlyZIlj7wXT2yfEmD9+vVFHYIwAmnHkk/a0DRIO5oGY7fjgVsHlG8OfpPn86Ydm6bU/q22suziMqPGU5yl69KVgWsHKrV/q63svLEzX3XJ72PJJwCEXmYAAL/QSURBVG34eP/NFf8r392hkydPZvny5fzzzz9YW1sD4OjoiFar5c6dO5nlQkJC8PDwyO/lipWzZ89y48YNOnTowLBhw5gzZ06O58yYMYPq1atz/PhxVq1aRVpaGj179mT8+PGcPHmSqVOn0qtXLxISEli6dCmVKlVi8eLFLF26lNOnTzNq1Cj++ecfTp48SZMmTbLMez5w4AATJ07k1KlTNG7cGABbW1sOHDjAnDlzGDhwIBUrVuTw4cNMnDiRUaNGAXD16lUmTJjAunXrOHLkCIsWLaJ///6ZPfDnzp1j0KBBHD9+nD59+hTAOymEEEIIU9WgYgNGBY3K83mDfAdR1qIsq66sKoCojGP68elMPzGddJ1x1pnRqrV83eJr7MzsGLtnLJHJkUapV4jSRJtzkSebOnUqf/zxB5s3b+b/7N11XFXnH8Dxz7lFl4BFiBhgAXZ3O2t26zad023OpW5Tt7GeC386c3bOrtndgYEtWCioCCidN87vj6s4JkhdQPR5v173Jfec5zzP93BQ+d6n7O3tM5zr3bs3s2bN4uuvvyYgIIC7d+/SvHnz/DT3rHdPPP+8Y4Xsy1RsY3zlwbx58xgyZAhKpZJOnToxcuRIrly5kqs6goKCUCgUtG/fHoAmTZpQqlQpAgMDadKkSYay+/bto0OHDri4uAAwevRo/P390ev1ADRq1AgvL68M1/Tt2xeAOnXqkJiYSL9+/QDj0Odr164BsH37dq5fv06zZs3Sr1MoFNy5cwcAT09P0z87QRAEQRBeaqfCT6GX9dQvUz9P11uprZjTbg4V7CqYODLTiEqOYv7F+XjYefCOzzsmq7esdVm+avQVnxz4hC8OfcGstrNQSC/GFD1BKA5ylOCOHDmSLVu2EB4eTvv27bGxsWH//v18/PHHeHp60rJlSwDMzMw4ccKYUP78888MHjyYSpUqodFoWLp0KWq1uuDupJBptVqWLFmCWq1m+fLlACQlJTFv3jz8/PzSk04wjp/PjZyuoPffcpnN/30ybv/JfNx/v9fpdIBxPnHbtm3T7+Pf7t69m+28YkEQBEEQhH/TGXR8d/w77ibcZVevXXne29a7hLdpAzOhBRcXkKJP4R2fnO97m1PtPdpz7N4xErQJpOpTsVBZmLR+QXiZ5SjBnT17dqbH5eesT1WqVCl27nzxV77Lq61bt+Lp6cnx48fTj125coUWLVrQrVs3zp8/T3JycoYEGMDW1pbY2Nj0915eXhgMBnbt2kXbtm05evQo4eHhmS7k1bJlS77//nvu3btH2bJlmTVrFq1bt873YlLt27fnm2++4fz58/j4+ABw8uTJXC9sJQiCIAiCALDh+gZuxN7gbZ+385zcPhGXFscvJ3/Bw86D4TWGZ39BIYhKjmJV0Cq8HLxo6d6yQNr4ssGXqCSV2DroBREaG0qbJW3YPXg3bnZuRR2O8BxivEMeLV26lIEDB2Y4VqVKFVxcXIiMjKRTp05Ur16dFi1aUKnS0xUDfXx8qFatGtWrV6dr165oNBrWrVvHV199hY+PD2PHjmXNmjWZ9ppWr16dyZMn06FDB3x8fDh06BB//fVXvu+lYsWKLF++nJEjR+Lr60uVKlWYMmVKvusVBEEQBOHVk6RNYnrgdEqYl+DN6s/unpFbFioLzkScYf6F+cSmxmZ/QSFYdGmRsffW950CGz6sVqiRJAmdQceiS4tI1Cbm+NrQ2FDCE8IJjQ0tkNheRf4H/Al+GMy3B78t6lCEbORqm6DC4urqmmHpZ71eT3BwMJUrVy6QrW/yIjY2Fjs7u6IO44XwIj6fnNqxY0f6/Geh+BLPsfgTz/DlIJ7jyyG/z3Fm4ExmnJvBhPoT6Ovd1yQxbbm5hfGHxvNm9Tf5sPaHJqkzr/QGPa9veh2VQsWaLmsKfH7s9lvb+fTgp3Tx7MIPTX/I0TUjNo2gQWoDTpifYE6XOQUa36sgNDYUz6me6Aw6VAoVN8fcLJReXPFvaub+myv+l+jBFQRBEARBEEwiSZvEkstL8LD1oEflHiart2P5jlRyqMTyK8uJTIo0Wb15oVQoWdNlDf9r8b9CWfypvUd7mrs2Z/PNzWy+sTnb8qGxoSw8txCABYELRC+uCXy/7ytmGzSMlTUoJIXoxX3BiQRXEARBEARBMAlLtSXLXlvGt42/Ra0w3eKiCknB+37vk6JPYc75ou+R1Cg1uNkWzjxMSZLwb+yPs4Uz3x3/jtC45yes/gf80xNvkYzlX2jMHeqfW8mbsooHGEjTp4kPDl5wIsEVBEEQBEEQTKa8XXn8SvqZvN4Wbi3wcfbhRuwN9AZ99hcUgD/P/smkI5NyNR/WFEqYl+CHpj+QrEvms4OfZdx3V6+DO8dhz7ekzWhIVOAS0vRpAOh0IhnLr+OrB/KGrGIrWlZh3IFEgfjg4EUmElxBEARBEAQh3/yP+bPx+sYCq1+SJGa0nsG8dvNQKvK+5kdobChef3rlOumLTolmyeUlnI88XyTb9jQo04A3q79JVEoU9xPvQ9A2WD0MJnvC/PZw6FfSHl6n5ONf76s9PMhOLLESyVieRZ1eSM+757iAnn4ko5egpaxkm17FqrPig4MXlUhwBUEQBEEQhHwJCA9gdfBqDt09VKDt2JnZIUkSsiyTrEvOUx15XQ138eXFJOmSGOk7slDm3mbwuJf2XWVJ1nRZg7utO9w+Cpc2QIkK0HwcD/otw1GOYY6cDDLYpkXSGhWr9SpWiGQs9yKDsdnyEZFAZ5KIf7xbUx2UtELFLFnDtwf8izREIXMiwRUEQRAEQRDyzCAb+O3Ub6gUKj6o9UGBt5eqT2X4zuF8ceiLXF+b1wWYYlJiWH5lOZ52nrQr1y7X7eZJfDicXZahl1a95RPslOYABFZuycP3A+DtfdDyCyYEb0R+smeuBMdK92AmabRFxVqDGT/u/7pw4n5ZlPBkucaM16VkwhQSCkmBQlLwm6RjAzr6ySpcgrYVdZRCJlRFHYAgCIIgCIJQfG2/tZ1LDy8xqMog3GwKfuElM6UZ1mprdt/ZzcWoi1R3qp7ja3/eO5FJBg1KWck9WcH6zaMZ0+l/UMLzudel9976jMzX8Ojn0utA1oPKDKJD4H++j09IULYmVGoLFduCQs2NmBsMO/gRDcs2ZHrr6SgkBQduH0Av69N7lyVJwftSGipZYgRqzC5ugtdSjfULWdOlglIDShVvjL/PG5mVSYmFOS34KiYUQgPArW5hRyk8h+jBzQcPDw+8vb3R6XTpx+rUqcP+/fv5+uuvGTt2bIbyCxcupHv37gCEhIRgb28PgJ+fH35+flStWhWlUpn+vm9f495x/v7+VK9eHV9fX7y9vfn0008L4/YEQRAEQRCeK02fxtSzU7FR2zDSZ2Se6ohN0pKizd2iUe/VfA8JiWlnp+X4mvu3DvLuubVMlFV8gRl/GtSMuX6QpK2fPS2051tY3g+2fAKHp8CFNci3j3Mx4izl7crT3iP3e5I+d85vfDicXQqrhsIvnnBpvfG4fTmoNxJenwOfXk/vpcWtLigUVLCvQGfPzhy+e5hlV5YBEPx+MPpJ+vSXi60Luq/0jJiUADUH01xvgLuncx3/K8Wgh9VvwIZR8O+FvP7L3A76LAGFClYPheTowotRyJbowc2n1NRU5s2bx8iReftHHSAwMBAwJr1+fn7p7wHWrFnDtm3bCAgIwMLCAp1Ox6VLl/IZtSAIgiAIQv4FRwcTmxrLCJ8R2Jvb5+raiPgUxqw4y/GbjwDQqBTYmquwNVdjY67C1uLxn+Zq49dm/z5mS/2SbTh6bxdbrx2iiVsDrDUqFAopy/b+DJjBR0h8Qgr/oMMdiQoKDVVIZcyTQo9uwPVdYHjaeSEBs9t+y8PmA4y9t2veAqUa7Fz/9XIDB49Me0f/Ped3TpfHWxydXgQBf0H4haetuNQCteXjtxJ0+uW5378v6n9BYGQgf5z+gzql6lDFsUrmBRUK6DIV6rxpbEPI2u6vIGgL1OhjTF6fp3R16PwHJEZALn/2hYJVrBPc7hu6Z3p8aqupuNu6cyfuDmP2jsm0zIbuGwA4cvcIkwMmZ3ouJ77++mu+/PJLBg8ejKWlZY6vy6mwsDBKlCiBublxvoVKpcLX1zebqwRBEARBEApedafqbO2xFUt17n4HOnsnmneWnuZBXGr6sTSdgaiENKIS0nJUh6T2w6rCHj7Z/RNJt0chSRLWZhkTZAczqCSFcc/SjYUXzFgiNydaSkMnRXJdCmOXIQrVre28HhuKm50b9F5o7MVLiIDYMPQxt1HG3UUq3wwnCyeQZQg5BAkPng3ozR3g3gASH8Km98HejRgza+IDlzBMVuNyZgmhzSYa20mIgNi7UKM3VGoHFVqBlVOuvoeWakt+bvYzg7YO4rODn7Gy88qsn4NC8TS5jQ+HI1Oh7TfGRF0wOr0Ijk4Dt/rQdZrxQ4bs+PV/+rUs5+waocAV6wT3ReDr60vLli35448/+PLLLzOcW7ZsGfv3709//+jRI2rVyt0nZ/369WPOnDl4enrStGlTWrRoQf/+/bGwKPzl6QVBEARBEJ5I0aVgrjLHwdwhV9etDLjDxA2XSNMbsLNQ83NPH1wdLIhL1hKXoiMuRUt8io645Md/pmgzfP30Tye00fWRlEkgaZFlDfEpOuJTjL2vzsTwsWYqVaXbvJb2A7ZyHwAc/xWLgRT0ivv0mrONPr7N8XS2wtPJGk9nJ2zcyjD7YQBnEi7wk8NAnMCYwHwSDKnxxgQ1NvTxKwwcKxorjb8HwdtB1mMP/I2xVzdFlvlk/1f82W0+NHwXmn4E+ZzPW82xGmNrjeX3079z/P5xWrm3yv6i4zPh+HRj3L3miyQX4OZ+2PKRcWh4v+WgNs/d9UmPYP07UPctqJz7YeyCaRXrBDe7nlZ3W/dsyzR2aUxjl8b5iuPbb7+lXr16vPPOOxmODxw4kClTpqS/X7hwIRs2PD+e/ypdujQXLlzgxIkTHDlyhBkzZjBt2jROnDiBRqPJV9yCIAiCIAh5cTfhLv3+6cdHtT/i9Uqv5+iaNJ0B/38usfT4HQC8S9swZ3Ad3B3zNgJOlmUSUtuQmGp4Jgk2u3+SpmcnYpX2kCNOvQmPukNyWhgKrFDI1qjkUkioUWCOwlCeBw9h2t7rGep3sjWgLbsQc4Ut6wKiqVTSgKezFa4OlijNbKCkt/H1X6VrwMRI7t07Q//5TShrMCADe9ATc34J41p8Y+zFNZHBVQdTr3S9rIco/1eriRBzBy6tg7XDoec8UBbrlCB/9DrYPNY4PHzAqlz3pAPGDzxCTxhfIw+CQzmThynk3Cv802w6Hh4eDBgwgO+++65A6lcqlTRq1IhGjRoxZswYSpUqxcWLF3PdGywIgiAIgmAKU89MJSY1hrLWZXNUPiI+hdFLz3DqtnExntd8yjC5lw+Wmrz/KipJEjbmGmzMwclGxf3EGOpYuxp7KAMmGlfC7TmPxjV6Efyfa/UGmbvRydyISuBmZCI3Ix//GZWQPmw6TrMXMymZh3c788PlpzVolArKOVoae3udrfF0Mv5ZwdkKe8vHnQ8KJV+dmcNxBaTJT+fzaiRFxrm4JqCQFOnJbXxaPEnaJEpZlcr6AqUKevxlXLH58gZjL/Lrc17dJFepgkFrIe5e5h9Y5IRDOeP3dHlvWDXEOFw9t73Agsm8oj/JpjdhwgSqVKmCWm3aYR6nTp3CwcGBChUqAHD16lW0Wi1ubgW/DL8gCIIgCMJ/XYq6xNZbW2nq0pT6ZepnW/7f820VEnzWwZuRzTyRTDRfUZZlBm8dTFxaHBtqfIh6x+fG4cJ9l0LJzHs1lQoJd0dL3B0taemV8VxCqo5L9x/w3uHvUFOaZu4duRWVws2oBFK0BtL0Bq5FJHAtIgHIOBe3hJUGTycrStnBmiuxKKWaqKS76KRwkHSk6dNYELiAiU/m4ppQkjaJPpv7UMKiBAs7LHx+YaXK2HNr0MPFtVCqunHI9KtElwbRt8DZCxwrGF/5UbkdNPsMDv4C28dBl/+ZJk4h10SCayJOTk6MGTOGSZMmmbTehw8f8t577xETE4OFhQVKpZLly5fj7Oxs0nYEQRAEQRCyI8syv53+DYWk4MPaH2Zb/r/zbaf1r0mzyqb9HUaSJJq7NWd64HQ2yjH06vwHVO8F5rZ5qs/aTMXZ2M2k6BP4svE4ulc07nFqMMjcj0t52tsbmcDNqERuRiZyNyYZgEeJaTxKNC6SZcfQDPXqiUYvRWNQRNNv3mZ6Vm+Ns605pWzMKGVrTilbc5ysNaiUedvF01JtSZtybVh4aSEzA2fihdfzL1CqodcCOPw71M/7biDFkizD5g/g8kZ4a6dxRWRTaDEewgLg9EIo1xh8+pimXiFXRIKbDyEhIRneT5w4kYkTJwLQokWLZ8oPGzaMYcOGAcZhzTExMRnOZ3asffv2tG8vJqsLgiAIglD0DoYdJCA8gB6VelDJoVKW5Uw93/a5Lm9k8LltLDezZ+a5mXTpsRUz5bPb9eRGRFIE7jbudPbsnH5MoZBwsbfAxd6CppUyJunJaXpuRRmHON+MTGTK4eWkpNqhMrigwHjPShxQyg6gh7sRMPU/c37BuIaVo5UZpWyNSW9JGzNK2pob39sYk+CStmY4WmWeCI+pOYaT4SeZe2Eunaw70VzXHHPVc4bKqjTGpOyJ63vAs6Vx1eWX2eE/4Nxy4wrWWfTy54lCaewZ3z4Oyjc3Xb1CrogEVxAEQRAEQcgRhaSgon1F3vV7N8syBTHfNlN6Hez5Go5Ow8rKmeHN32HylUWsvLqSIdWG5KvqSQ0nkaRNQpXdXqiPWWiUVC1rS9Wyxl7jMa2/Aow93pHxqYRGJxERl8qDuBQi4lN5EJdKRHxK+vuYJO3j8hCVkEpUQiqX7sVl2Z5CAifrTJJgW3Ned/mMiMTxbEnYwsl1J1nXdV3O9ii+vNE4f7TmYOO+uS9rknt5I+z5BkpWM64inc+VrJ9h5Qg95z59L7YPKnQiwRUEQRAEQRBypKlrU5q4NMly/mxBz7dNF/8A1rwJtw+Daz3os4i+Vo4svr2duRfm0rNyT6zUVrmuNlWfilJSolKocr23b2YkSaKkrTklbZ+/4FCKVk9k/L8T4BRjEpzhfQpxj7dAMsgQEZ9KRHxq5hVK72LmcJJUx0fM3HufWuVScHdOpZKTS9ZJe6X2ULENnF1iTPpe++PlS3LvnoF1I8GqJAxYCWY2BdeWLEPAXAg5bBwK/rJ9L19gIsEVBEEQBEEQnitJm8TdhLtUcqiUZbJaGPNtAXhwCZb0gIRwqDcS2n0HKg1mwJhaY7gVeyvPVS++tJiNNzYyo/UM3G3dTRdzNszVStxKWOJW4vlJdYpWb+wJftz7+6Qn+Env8JMEOT4FUh815u4jmH3tJmDAsvw0NCo91Sx709mzA3U8HKngbI1C8fh5qs2NC3Ot6G+cQyop4bXfXq7ex2u7ABn6/w32hbBga+gJ40rVR/2gSfZz1gXTEAmuIAiCIAiC8FyLLi1i1vlZ/NX2L+qVqZfhXKHOtwWwcwVrZ2Ni69M7w6muFbrmudpEbSKLLi/CWm1NGesy+Y2yQJirlemrPz9PbLKWuet3g5Mnp0KiCQyNQhdfDUWJQ5xPm87ZwLWk7WqLlcGX2u4lqF3OgTrlHPB1s8e833JY0RdOzQOVOXT4oZDurhC0GGf8mSnhWfBtSZJxJeXwi7DHH1xqQ/lmBd+uIBJcQRAEQRAEIWtRyVEsuLQAdxt3apaqmeFcoc23TU2Am/ugShcwt4O3Dzx37mRcWhznI8/TxKVJjptYcXUFsamxjK01FrXCtNs+FjY7CzXVHRW0b2dcSVmrN3D1flMO3Qxh8+3lhGl2YeG2hLSkQ+y9+jZ7r0YAoFJIVHOxo4HrNwwvNRF1qXrYF+F9mIRBDyfnQJ03QWVWOMntExor6LsE5rQwDqkfeRBsc7Z3tJB3IsEVBEEQBEEQsjQ9cDrJumQ+rP1hhsSv0ObbRl2DlYMgMghG7AWXWtkuDDR231jOR55na4+tlLQsmW0TSdokFl1aRBmrMnSr0M1Ukb8w1EoFNVztqOHqy2h8iUz6hCmnZvEwQUfJsuU5FRLN1ch76HTWnAuN4VxoDLMZBbcl3HbtpYmrhmrlXalTvgSVS9o8HdZcHOyaBMf+hLREaPZJ4bfvVAm6TYfVQ41J7hvbXthh36GxobRZ0obdg3ebfJ/mwvRKzHYOjQ3F608vQmNDTVqvh4cHXl5e+Pn5UaVKFQYMGEBiYiIACxcupHv37hnK79+/Hz8/P5KSkqhcuTI7d+5MPxcTE0O5cuU4fvx4jto+deoUffv2Ndm9ZEaSpGe2LRIEQRAE4dVxI+YG666to1bJWrR0a5l+fGXAHfrOPs6DuFTsLNQsfKMe7zSvYPrk9vImmNMSooKhzddQtma2lwAMrTqUVH0qc87PyVH5v4P+JiY1huE1hqNWFu/e25xwtnTm+2YTmdXpG/y7VWftu3VwrzGL+g3XMrCZRNNKTlibGb8PqY/uMeLqWyRsmUCHKQfx9d/J0PknmbrnGkevR5GUpiviu3mOUwuMya17Q2j0fr6qung3lnOhMegNcu4vrtYdmo83zsN9QZNbAP8D/gQ/DObbg98WdSj58kr04P77Yc3pkrN/6HJq5cqV+Pn5YTAY6NKlCwsXLuTdd7NeOh/A0tKSRYsWMWDAAAIDA7Gzs+P9999n0KBBNGjQIEft1qlTh5UrV5riFgRBEARBEDI15fQUDLKBT+p8giRJmc63nT24NuUcc79i8XPpdcatXI5OBUsn6LcMPHO+r2gz12b4OvuyNngtQ6sOxc32+b1RBtmAp50nr1d8Pb+RF0vJumQalK3P1ptbuUwArcq3Yk330ehTS3PuRhjSUUfeSd6MHonJKX05EBzJgeBIAJQKiaplbGlfrRSjWlRE+aL07t7YB1s+BgcP6LvMODw5jxYeucXXmy8DYGuuomEFR5pUdKJxRSfKO1nl7IOdlp8//foF3DooNDaUhYELAVgQuICJzSYW217cl74HNzQ2lIXnFgLGh2XqXtwn0tLSSEpKwsHBIUflGzZsSL9+/fjwww/ZtGkTFy5c4KuvvnqmXHJyMn379qVq1ar4+vrSrl074Glv8BOzZ8+mcuXK1KpVi2+//TbDXzRJkvjhhx+oV68e5cuXZ8GCBennPvnkE+rWrYufnx/NmjUjKCgoj98BQRAEQRBeNm9Uf4PRfqOp4VyDiPgUBvx1PD25fc2nDOtGNzJ9cgsQcQmOzwDXusZ5i7lIbsH4u88HtT5AJ+uYcW5GtuWH1xjOuq7rXone28yUMC/BT01/Ym3XtbRxb8Pe0L30+ac3G0OnM6BpNcp/sB1c6vCuahM7/Q4zrJEHNVzsUCok9AaZC3dj+XVnMO8tP0OqTl/Ut2Mczr5qKGisYcBq4960eTRz/4305BYgLkXHjksPmLjxEq1+O0Djn/by6epzbAy8S0R8SvYVRlyFv1oZh96/KKKuc3NJV+bJxg8BFJKiWPfivvQJrv8BfxSS8TYL4mH17dsXPz8/SpcujUKhoE+fPjm+9ptvvuH06dMMHz6cxYsXo9Fonimzfft2YmJiuHz5MufOnePvv/9+pszFixf5+uuvOXjwIGfOnEGne3aoiJmZGSdPnmTbtm2MGTMmvcy4ceMICAggMDCQ0aNH88EHH+Ti7gVBEARBeJnVKlWLUb6jOHsnmi7TDnPqdjQKCcZ39ObP/jXzvZjUM9PItI8ThDK+MHg9DNsKdi55qrtu6bo0KtuILTe3cD36eqZlUnQpJKQlAKDMZl7vq6CSQyX+aPkHf3f+m8YujSlj9Xg1aXNbEvsthbK1qHx1Jl/bbmbz+0248HU7lo+oz5CG5QDYdjGc4YtOFf2wZaXauNp2n0XgXDlPVciyzO87g/h5+1UA2lUtxeFxLZnS149etV0pY2fc2/hebAqrT4fxwd+B1Pt+D+3/OIj/5svsvfqAhNRMvg+JkXA/0DivPDUhr3doGqnxsHIQ8p91aB51E09ZRiVDmj6tQDsGC9pLneA+6b1N06cBBfOwVq5cSWBgIFFRUXh4eDBu3DiALIcq/Pu4RqNhzJgx1K9fHx8fn0zL+/r6cuXKFUaPHs3KlStRq5/9ZHHv3r106NCB0qVLAzBixIhnygwcOBAAb29vVCoV4eHhAOzatYuGDRtSvXp1/P39CQwMzPnNC4IgCILwUjp89zCH7x5GluUCnW+bPo3sgD+cmA3T60FilPFk+WagevbD/9z4oNYHTGgwgXJ25TI9vzJoJe3WtuNS1KV8tfOyqeZYjZltZjKs2jAAIpIiaLu5J99VbUpEGR+4fRT0Wiw1KhpVcMK/W3Umda4KwKFrUQyed5LYJG3R3UAJT3jnEFRomX3ZTMiyzPdbrjB1r/GDka6+ZZk+sBauDpZ0r+nCr719OTq+FXs+bo5/t2q0q1oKG3Pjhz1BD+KZf+QWby48hd83O+k96yhTdgdzKuQRWr0ByjeF1l9B5FXY/IFxuHJhMhgg6ZHxa401xNzhvG1pWilTaUoSusd/rYtzL+5LneD+u/f2iYJ6WCqVip49e7J9+3YAnJ2defjwYYYyUVFRlCyZcSU/pVKJUpn1J4aenp5cvnyZDh06cOTIEapXr050dPRzY8nsPxxzc/MMbep0Ou7cucN7773H0qVLuXjxIn///TcpKTkYWiEIgiAIwktLJ+v47vh3fHrgM8ZvOMm4tRdI0xvwLm3Dpvca06yys0naedIRYSlDy7PLYdtnxtWRk5//e05uVHWsSh+vPplu+5OsS2b+xflYqCyo5FDJZG2+TJ78ThmXGkd5u/KsvLGeTlZJ/OrdkEe1q4FSmf56s3lFft06BYVBz+nb0fT9aEHOhuyaiizDPx/C1S3G93nskTcYZCZsuMjcw7cA6FvHjT/6+qFWZswpJEmigrM1Qxp6MGdIHc5ObMuGdxvzaXsvGno6olEq0BlkAkKimbL7Gr1mHcPvm528tTCA+XJX4j3aw8U1EDA3X7edY7pUOLsUZjSAtcOf3ARhveZRJ/EG+wyp8K8Uojj34r60Ce5/e2+fKMiHtXfvXry8jPuN1a9fn6CgoPQe0dTUVObNm5c+hzanwsLCkCSJrl278uuvvyLLMqGhGWNv2bIlO3bsICLCuIfZvHnzclR3bGwsarWaMmXKIMsyf/75Z65iEwRBEATh5XM46TB3E+5ikdiWlSeMvakFMd/W/4A/3ig5jhX9ZRWBdi7w9n7jtiomFhoXytwLGROJ1UGreZTyiLeqv4VGmb+e4pddRYeKLO20lGmtpuFhW55FV5fT8X0LVr7lDA1Uxl5Bg4FeF3YzY8NPaHRartq70GfWMUIfJRVOkId+hVPz4eyyPPeK6vQGPllzjmUnjPPMhzXy4MceNXK0cJZKqcDPzZ53W1ZkxdsNOPdVOxa/WY+RzTypVtYWgMQ0PXuuRuC/5QqNr/YilNLoto5n154d3I9NzlPM2UqJhcNTYIoPbHwX4u9D6erG/YGBb478gkQWI0+RimUv7ku7irL/Af9sH5YpVlTu27cvFhYW6HQ6ypUrx6xZswBwdHRk1apVjB49mqSkJAwGAx06dGDMmDG5qv/ChQt8/vnnyLKMTqdj8ODB+Pj4sH///vQyNWrUYMKECTRu3BgbGxs6dOiAnZ1dtnXXqFGDfv36Ua1aNRwdHZ/Z1kgQBEEQhFdLbGosu+L3IOkcuHmzZoHtbxsaG8rpwEUcM5hjAYwnhd/jr3EjNQ438+x/h8mt2edns/HGRqo7VadBmQbpvbclLUrSs3JPk7f3MpIkiRZuLWjm2oydt3cy/eQU7J3Doa05GODBVQMGhUS1mFP8dMCfCZ3HcCdepvcsA0uH18PWOpmw+DD0sh6dQYdBNqCX9dhqbPEr6QfAuchz3Im7k+G8zqDDq4QXtUvVBmDD9Q3cT7yPRqGha4WuOFs6w8V1sPc7KFUDeszJ0wrFaToDH64MZMuF+wCMalGBz9p75fnn3kKjpFll5/QRDw8TUjl28yFHrkdx+HoUoY/g7dQP6KPcz4+7kknbtRdPZ6v01ZkbeOZ9Yax0ydEwxRdSY8GmDLT9FmoPhX/9HTtw+wB6Wf/MqFcAvaxnf8j+/MdRyCRZLuyB39lzdXUlLCws/b1eryc4OJjKlSs/dzjvv1WeVpkb0TeyPF/BoQLB7wfnOcbY2NgcJZGFJT4+HhsbGwD+97//sX37drZt21Yobefl+bwoduzYQfv27Ys6DCGfxHMs/sQzfDmI51j8jdg8ieOP1pN8ty9W2npM61/TZEOSM7SzaQRLzy1mjl7BPLQckPRolBqG+g41+ZaOAGHxYXTZ0IWqJaqytNNSll5Zyi8BvzC+3ngGVhlo8vZeBAX991Fn0KEYNQyFaiNXXMzo41Imk0K2xF/7AgdLNf3a3GLptWdHCzYo04C/2v0FwNdHv2bttbXPlBlUZRDj6hnXuRm8dTCBkYEAWKgsGO7ekSEHZ2FuZg8j9hgXl8qlFK2ed5edYc9V42jIj9tW5r1WFU2/r/O/3HmYxJEbxmT36PUoopO0gMyTccIKCTxsYOxrNXmtRpmcb78UccWY2JZrZHy/40soWRVq9M73nPYXxX9zxf96aXtw85O8Fkfjx4/nyJEjaLVaypYty+zZs4s6JEEQBEEQipG/TwVzLGoLhlQXKlg2Yc7guqbfAuj+eeID/mJh4EJ0so4hmcz5K4j9N11tXOlVqRd/B/3N/tD9OJg74OPkQ89Kovc2r1QKFUz4EWqsJHakGQOt41Eho7itR9XlHRR29pgHLKaZ+Rfc0TpwYZ8Nb1eqiZNTaZROXijN7VEqlJS0fLo+TT/vfjR3bY5SoUQlqVAqlCgkBaUtS6eX+a7Jd9yJvcOILSMo61iaaTfXsbq0I8taTqNkHpLbpDQdby8+zeHrxuH4E16rwvCmnvn/BmXD3dESd0d3+tdzx5CWQvT6jwlJsmCKoTcnbz0iVWfgZhyMWXGWKbuDebdFRbr5lUWlzGSGqSwbF/468j+4tgOcvODdE8ae7PbfF/i9vGhe2gT3VTN9+vSiDkEQBEEQhGIq+EE832y8SQpjqeSQyvr3muR7C6AMZBlO/gU7v8TCoMNXUnA6k2KmnEb2X2/7vM2G6xuYenYqa7uupbNnZ5O38cpxc4Pew2gwdTENbKLBUQMtukOLCcbzl/ahtb1G+bgLtNHq4Ml2ssO2gkdj42q+s5oae13tXPF+/MLOFSq0zrTHsZxtOb7b/x1BD4JoUrYJg2y9OZXyAOfyrQDjByU5nVMdn6LlzYUBBIQYFzb7rnt1BjXIfMXtgqSQwDHmAo73z7FkQFtShrTjzO1opmw+yakImZuRiXy8+hxT9gQzukVFetZyRaNSGOfRXv3HmNjePQ1IUKUrNP4gT8O0XxYiwRUEQRAEQXiFJaTqeGfpaZK1eso5ujLaK9W0yW3SI9j0vvEXcYfy9DHEcjY+rtDn/DlbOjOgygAOhh0k6FEQVRyrFEg7r5xJk2DhQog0QLQOdv7y9NygtaiBB7FJjPlrB6kP7+CqeEjHBw685gGkxoGVEzy8DqHHM9Y7wThcmOt7YMcXYOsCdq7Emtsin12Ciyyx6Nwivhpzk8GPe/xlWWbkrpE4WTgxtvZYXKyz3kM5JimNIfNPcj4sFoUEk3v50rN27nuATUJtDn0Ww+zmsO5tzEcepFHFcsRXVfLz4CbM2Hed9WfvEvoomc/XXWDanmu806ICfapaYb7+HWOiW/sNaPQ+OFYomnt4gYgEVxAEQRAE4RUlyzLj1p4nzPAPFo6WTB/wIXcvnjRdA/cCYeUgiA2F6j2h8xTWmduarv5cerP6mwRGBBZZ+y8lNzcYNgzmzoU33jC+/49SdpbMGvUawxYG8E9oDFs23OKRwZLBDT1g5AFjIW0yxN6FuDBIiASVmfG4LgUMOuMQXF0ydsBczDiGkh7oMvT4J+uSsVZbsz1kO3vv7GVw1cEMrzEca411hngi41MZPO8EV8PjUSkk/tevJq/5ZDKHuDA5eECPv2B5b1g1hNBe8whPCKeq+hGTe/sypnUlFu45i/X5hcQmmDNpYwem7TXju6o/0rR5OyxLlC3a+F8gL+02QYIgCIIgCMLzLTwawtbLQWic9uDmfoFqZe1N24CVs3F4ctc/oec8KMLkFsDOzI5FHReJ3ltTmzQJKleGiROzLOJgpWHZ8Po0quCILMPEjZeYvu866evdqi3AqSJ4tgCf3k8v9H4N3j8NX97n7juHqKdIpjtJ/EYaD/+z/ael2pJpracxp+0cPOw8mHdxHq+tf421wU8Xrrofm0zfOce4Gh6PRqVg9uDaRZ/cPlG5HTT7DO4Hcu3vvugMxgSe6Nu4nfiGicG9+FC5ihF2JzFTSUTGpzLyhDNNpl9ixv7rxKdoi/oOXggiwRUEQRAEQXgFnb4dzfdbrqApcQBJoePzhmNMs2psfDgE7zR+becCY85ArcGv9JzAl56bGwQFZdp7+2/WZirmD6tL26qlAJi8I4gft10lR5u6SBJfn5zGOYXERknHWkmHVgKFpHhmr9aGZRuyqvMqvm74NRISAQ8CAAh9lESf2ce4GZmIhVrJ/KF1aV2lVN7uuaC0GE+CT1/GPryAmS6BlmeWIU+tCSdmGYcf95iLy8eHOTSuFW8388RSo+RRYhq/bA+iyc/7mLI7mNikVzvRFQmuIAiCIAjCK+ZhQirvLT+DXorDrMRJvBy8aeHWIv8VX9sNMxvDqiHGRBeeDjUVBMBcrWTmwFr0qGWcHzvn4E3Gr72A3vD8JDc0NpSF5xaSpk/LcDztP724TygVSnpW7smWHlv4rO5n3IhMoPfsQ0RolmNt/YjFb9WjSSUn096cKSiUfKiSCVJIaBXmNJWVXLF2gsHrYeQhY++2Uk1JG3O+6FSFw+Na8V7LitiYqYhN1jJl9zWa/LyXyTuu8igxLfv2XkIvb4JbuTIolVm/KlfOdxPr1q2jdu3a+Pn54e3tTatWrTAYDAC0aNGC8uXL4+fnl/7asWNH+rkNGzY8U9/XX3/N2LFj8xTLvXv3aNq0aV5vJUc8PDwIDAws0DYEQRAEQShYeoPM2JWB3I9NwbrUIWRJyyi/d/LXe6vXwq5JsKyn8evXZ4JN6eyvE15JKqWCX3v5MqyRBwArT4Xy/oozpOr0WV7jf8Aficx/Rp+svp0ZK7UVETEq+s4+RqTuEhqHEyjdf2PXg1nEpMTk91ZM7t+JvEGhwod4fJNuEepUKdNRECWsNHzS3ovD41vxYZvK2FmoiU/VMX3fDRr/tJfvt1wmIj6lCO6k6Ly8i0w1bw4hIaDNpIterYYWLfJVfXh4OG+//TanT5+mXDnjcuJnzpzJ8J/DH3/8Qffu3fPVTk6VLVuWQ4cOFUpbgiAIgiAUX1P3XOPQtShAh53TZUpbe9HKrVXeK4wOgTVvwd1T4FIHes0zLpgjCM+hUEh81aUqthZqpu65xtYL4cSnnGL24NqZruJ94PYB9LI+16tvnw+LYcj8k8QkaXGyrsHEerNZdWs6K66u4J+b//COzzv09+6PWqk29S3mif8B/wz3GC2B5vEw7Odtn2VnoeaDNpV4s4kHS4/fYe6hmzxMTOOvQ7dYfOw2/eu5M7K5J2XsLArjNopUjnpwx4wZg4eHB5IkZejBy+o4GHv7vLy80nsvV65cacq4szdpknFRg8zI8nMnwedEREQESqWSEiVKpB+rVauWaeauPIfBYOC9996jSpUq+Pr6Urt2bVJSUggJCcHe3j693MaNG9PLjBs3DicnJ0JCQgDjs5k0aRINGzakfPnyfPfdd+nX/f7779StWxc/Pz/q1q3LsWPHCvR+BEEQBEEoPPuDIpi69xoAI5tVZnuvzfzS7Jf8/f5y/7xxD87GY+HN7SK5FXJMkiQ+aluZiZ2rAnDoWhSD550kNvnZDqrg94PRT9Jn+Qp+P/iZa06FPGLgXyeISdJSytaMv99uSLcqjVjacSm/NPsFa7U1k09NZvHlxQV+rzmR22HYmbExVzOqRQUOjWvJhNeqUNLGjFSdgYVHQ2j2yz4+X3eB0EdJBXULL4QcJbi9evXi8OHD6T2V2R1/YuXKlQQGBhIYGEjfvn3zH21uPFmyXPOfjZ41miyXMM+N6tWr06RJE8qVK8frr7/O5MmTuXv3boYyH374YYYhyjdu3MhXmwDnzp1jz549XLp0iXPnzrF37140/7nHiIgI3nzzTdavX8+5c+fw9vbm4cOHGcrExMRw7NgxAgICMsQ+ePBgAgICCAwMZNq0abzxxhv5jlkQBEEQhKJ3NyaZsSsDkWWoV74En7b3wlpjjae9Z+4r0yZDbJjx66pdYfRxaPsNvCC9YELx8laT8kzu5YNCMi5+1m/OcSLjU/NV55HrxmQ5PlWHq4MFq0c2omJJ43ZBkiTRsXxHNnXfxMe1P6afdz8A4tLiuPLwSr7vJ6/yOgw7M5YaFcObenLws5Z8260aZe3M0eplVpy8Q4tf9/PJ6nPcjEwwVegvlBwNUW7WrFmujr8wnmw8/W8GQ757bwEUCgVr167l6tWrHDhwgG3btvH9999z6tQpKlasCBTMEGVPT090Oh1vvvkmLVu25LXXXkOhyPg5xfHjx/Hx8cHb2xuAoUOH8s4772QoM2DAAACcnJzw9PTk1q1buLi4cPbsWb7//nsePnyISqUiKCiI5ORkLCxe/uEMgiAIgvCyStMZGL3szONhmmbUq3mKqYHHGO07GnOVee4qi7gKa94ASQHD94DaHEp6F0zgwiujdx03bMxVjFkRyJX7cfSedZSlw+vj6mCZ67r2Xn3AO0vPkKYz4OlkxbIR9TMdmmuuMmdY9WHp7/86/xeLLi2ia4WujKk1hpKWJfNzS7miM+jSh2Gbq82xtrDmSNoRSjuUTh9hceje0+mIe+/sZe+dvcjI6GU9BoMBvazHx9mHodWGAjD3wlxOPTiFwWDAu6Yeh/hk7sUkkhBVkzWn67LuTBgeVdZiaR2NWgneJbz5semPhXbPBaVA5+AOGTIEWZapV68eP/30E87OzpmW+/333/n999/T38fExKQvyPSEs7MzcXFxzyRzz2Vri/mAAWj+/hspLQ1ZoyGtf39SbG0hNjZP9/SELMvExsZSpkwZ+vXrR79+/ejZsycrV67kvffeQ6fTkZiYSGwm7WR1LiUlhdTU1Eyv+bcjR45w5MgRDh06xPjx49m6dStKpTI9psTERHQ6XXo9Txa+iouLIzY2FoPBgFarzdBOTEwMkZGR9OjRg82bN1OrVi3i4uJwd3cnIiICe3t7DAYD8fHxz8RnMBhITk5m9+7defpeFqWUlJRnftaE4kc8x+JPPMOXg3iOL64VwXrO3ZWRgD4VYlhxdSEOSgeqRFZ5Zk5jls9RlnGJ3EeVW/ORDDpuuPXh5p59xkRXeOEUx7+PEjC6Osy8CCEPk+g8ZR9jfZWUscr5EPozEQbmXjagl6GsFYzySuH88YOcz8G1JbQlqKipyMYbG9l2cxstrVrS3Ko5GkmT/cXPkSanoUSJUlKSZEjieNJxYg2xxOpjidHHEGuIJcmQxJRKU1BKSi6kXGBRzCICdAE42T1d6bmksmT6M92ZsJOdCTufaete+D1KhxkXeDscc5gLqRdQoEBCQoECczOJKmWTuaGFB0lwPz4WRWo0ZgoFivgwdiQVr5+ZzBRYgnvw4EHc3d3RarVMmDCBoUOHsnXr1kzLfvTRR3z00Ufp711dXWnfvn36e71eT3BwMLa2tiiVytwF8t13sHw5AJLBgNm332JmZ5f7G/qPK1eu8OjRIxo3bgxAdHQ0oaGhVK9eHTs7O1QqFVZWVthl0lZW58zNzUlJScn0miciIyNRqVS8/vrrdO/enePHjxMaGoqPjw+SJGFnZ0fr1q157733CA8Px8vLi8WLF5OWloatrS12dnYoFApsbGzS21EqlVhbW2NmZkZaWhpVq1bFzs6OP//8EwA7O7tMr3tCr9djYWFBmzZtcv98itiOHTsy/KwJxZN4jsWfeIYvB/EcX0ybzt1j/76zAHzWwZtUm82kXUzjk8af0MGjwzPlM32OKXHwz4dwYw3YukLPuVQq15BKhXEDQp4U17+P7YFmd6IZNv8kMSk6pl5SsuiNetRwzf7393Vnwvhr/zkMMtRwsWPxm/VwsMpdcjpMHsbBsIP8eupXdsTtINAQyNx2c/Gw83imrCzLJGgTkJCw1hiHP8+9MJew+DAeJD0wvhIfEJcWx5KOS/Ar6UdUchSTVk0CQCkpcbZ0prxleUpZlqJZo2ZYa6ypn1KfVrGtuHzqMi2atUApKVFIClQKFY4WjgC00LfA32BckOrJ60m5p9/LrJ+/3iCz9cJ9/tz7AUGh8SQCj4BV3iX4tbdvrr9vL5ICS3Dd3d0BUKvVjB07lsom2JYnT57MxZ071yRzb5/Q6XT4+/tz69YtLC0t0el0DB06lG7duqWX+fDDD/n666/T33/66acMHDgQgOHDh/Pee++ln1u9ejUA8+bNY82aNenH/5v8h4aGMmLECLRaLXq9nsaNG9OxY8cM839LlizJ3Llz6d69O2ZmZrRt2xZra+sMi1BlxtbWlu+++4569erh5OREv3798vS9EQRBEAThxXA9Ip7xa419V22qlKJv/RJ0XLeCCnYVaFeuXc4rOvwHXFwD3p2h6zSwLJH9NYKQR7XcHVj1TkMGzztJZHwq/f86zryhdajv6ZjlNctP3OHLDReQZahdzoEFb9TF1jz3c8IlSaK5W3MauTRiVdAqdt3ehauNKwDrrq3j9IPT6Ynrg6QHJOuS+aTOJ+nDgtcEr+Fuwl00Cg2lrEpRyaESpSxLYaEyDpEuYV6C5Z2WU8qqFI7mjigVz3YO2ZvbU8u8FpGqyPS2/8tMaYaZMu97TCsVEl18y/JajTLsuvKAaXuvcfFuHLceJmJrUbzn0hdIgpuYmIhWq01PqFasWEHNmjULoqmcmTQJDh40ydzbJ9zd3Z877GP//v25PtewYcMMCXFmatWqxenTp5857uHhQUxMTPr7Nm3a8PrrrwOwYcMG/vnnn/Tn8WQ15SdOnTqV/vVnn33GZ599lv7+008/Tf/6v9cJgiAIgvDiSkzV8c7SMySl6XErYcFvvX1ZdGUmSbokRvqOzHS7ldDYUMITwgmNDcXN1hUMOuPCUc0+AceK4Dcg0704BcHUvEvbsuadhgyad4LQR8kMmX+SmYNq0cq71DNl5x2+xbf/XAagUQVH5g6tk+lWQ7mhVqgZWGUgA7wHpM+BPX7/ONtubcNabU0py1L4OftRyqoUnnZPF2qb3XY2thpb7M3sM12dXCEpqOFcI1+xmZJCIdG+WmnaVS3F/uBIFJKEUlG8/47n6MmPHDmSLVu2EB4eTvv27bGxseH69etZHn/w4AE9e/ZEr9cjyzKenp4sXlyEy2+7uUFQUNG1XwSmTZvGypUr0ev12NrasmzZsqIOSRAEQRCEQiLLMp+vu8D1iAQ0KgUzB9bG1kLF0XtHKW9XPsveW/8D/jQwNOCPvRP4PSkJHCtBhx9AYwU1BxbyXQivunKOVqwe2YjB805wLSKBtxef5rc+vnTzc0kv8+fea/y607hFUEsvZ2YOqo252nRT5v6dpI6vN55JDSalD0fONGbbzHeXedFJkkRLr8JbVKsg5SjBnT17dq6Oe3p6cvbs2bxHJeTbF198wRdffFHUYQiCIAiCUASWHr/NpnP3APDvWo3qLsb5i0s7LeVB0oNMh0U+2YOzu5sTHULWAQqwdDLuQJGbRT4FwYRK25mzamRDhi04ybmwWMauDCQuRceg+u5M3hHEjP3GbTg7Vi/N//rVRKMquJ/VEuZiaH5xUCz+tXryyYksy0UciZCZJ88lX5vEC4IgCIJgEoGhMfg/Hq7Zs5Yrfeu6pf9frVKocLF2yfQ6//3f8LmspmPITOyQmO9RD16fKZJbocg5WGlYNqIBDT0dkWWYuOEifWcfT09ue9R0YVr/gk1uheKjQLcJMhWFQoG5uTl3796lVKlSqNVFP/HZYDCg1+uLOowiJ8syDx8+RK1W524LJ0EQBOGlpDPoMMgGNMriuwJncRadmMa7y86g1ct4l7bhu+7VkSSJmedmciPmBhMbTMTO7NnVaENjQ7EJXIa/rOGheRkapQRzM3Q/bWNDcbMzzQKdgpAf1mYqFrxRl/eWn2X3lQecDHkEQP967nzfvTqKYj5vVDCdYpHgApQrV46IiAhCQkJeiJ7c5ORkLCye3TD6VaRWq9NXzRYEQRBePZceXmLa2WnU09Zj/sX57AzZyY9Nf6SSg9hEpjAZDDIfrgrkbkwy1mYqZg6qjYVGadyi5NISSliUwEptlem1/gf8OaeQ2aXXEe7xLsFB76ORVHx78FvmdJlTyHciCJkzVyuZOagWX6y7wNozYQxv6snnHb3FKEIhg2KT4CoUCkqXLk2pUqWQZbnIk9zdu3fTpk2bIo3hRSBJkui5FQRBeMWtvLqSI3ePUM+xHgDXY67T95++fFDrAwZXHZzpar2C6f257zr7gyIB+LW3D+WdjMnsssvLiNfGM77+eFSKZ3/1C40OYeG5hegMOtpJMFdp/AA/TZ/GgsAFTGw2UfTiCi8MtVLB5N6+fNOtWr5XShZeTsXup0KSpBfmUxql0nQrtAmCIAhCcRSbGsu2W9vwcfbBRelCe5/2NCzTkC8Of8Gvp35lf+h+vm/yPWWtyxZ1qC+1w9ei+GO3cSXZ4U3K06F6GQDi0+JZcmUJ7jbudCrf6dkLH91EOac5jWQlB9E9c1pCEr24wgtJJLdCVsRHqoIgCIIg5NmmG5tI0afQz6tf+rEazjVY1WUV/bz6cerBKd7d8y4G2VCEUb7c7scmM+bvs8gy1CnnwLiO3unnll1ZRnxaPCN8Rjzbe5v0CJb1plRKHA6yAYWkQCEpkJDSv9bLevaH7C/cGxIEQcgH8dGHIAiCIAh5Issyq4JWYW9mTzuPduy/vj/9nIXKgi8bfEkLtxZolJr0Ycpp+jSxAJUJpekMvLvsDI8S03Cy1vDngFqolU/7L4Kjg3G1dqWzZ+eMF2pT4O8B8PA6yo6T2VD/7fRTO3bsQD9JLKQpCELxJHpwBUEQBEHIkyuPrhASF0L3it0xU5plWqaxS2Pqlq4LwLnIc3Rc15GDYQcLM8yX2k/brnLmTgwKCab2q0lpO/MM539v8TsrXluRsffWYICNo+HOMWjwLvwruRUEQSjuRA+uIAiCIAh5UtWxKv+8/g+WKssclX+U/IhkbTLv7nmXXpV78WmdT7FU5+xa4Vlbzt9n/pFbAHzczotGFZ3Sz+kMOpSSEkmSsDe3z3jhlU1wcS14d4Z23xZixIIgCAVP9OAKgiAIgpBn5WzL4WzpnKOyLd1bsq7bOuqXrs+a4DX02tyLwIjAgg3wJXUjMoHP1pwDoJV3SUY1r5Dh/MJLCxm0dRD3E+4/e3HVbtB5CvT4CxRiwUxBEF4uIsEVBEEQBCHX1l9bz5rgNWj12lxdV9qqNHPazWFc3XFEJEXwxo43CE8ML6AoX05JaTpGLT1NYpoeVwcLfu/ji0LxdIeJJG0Siy4tIio5CieLp726RFwBgx4kCeq8ARrRey4IwstHDFEWBEEQBCFXtAYtf579E0mS6F6xe66vV0gKBlUdRKOyjQgID6C0VWnAOKw2s31ahadkWWbC+osEP0hAo1QwY2At7C0zLtq14uoKYlJjGFNrDGql2ngw/CLM7wDer0GP2UUQuSAIQuEQPbiCIAiCIOTKgdADRCRH0Ktyr3wlpJ72nvT17gtAojaRnpt6svjSYrGl0HMsP3mHdWfvAjCpS1V8XO0znH/Se1vGqgzdK3Q3Hoy7B8v7gC4Fag0u3IAFQRAKmUhwBUEQBEHIlZVBK1FJKnpW6mmyOiOSItAZdEw+NZkRO0dkPnf0FXchLJZvNl0G4PWaLgys7/5MmZVBK4lOjWZ4jeHG3tvUeGNyG3cXus8AjyaFHbYgCEKhEgmuIAiCIAg5FhIbwvH7x2nl3irHi0vlRHm78qzuspo+lftwMvwkPTb1YPONzciybLI2irOYpDRGLTtNmt5A5VLWfP96dSRJeqZcdEo0LtYuxqHjeh2sHgbhF6DVBPDpU+hxC4IgFDaR4AqCIAiCkGOrg1cD0M+7n8nrtlRbMrHhRKa3no65ypwvDn/B9pDtJm+nuDEYZD5edY6w6GSsNEpmDqqNpSbzoeEf1fmIjd03olFqIP6ecWGpmoOg6SeFHLUgCELRECs5CIIgCIKQYyNqjKCcbTnqlKpTYG00c23Guq7rWHRpEW3KtQFAb9CjfEW3tJl54AZ7rkYA8EsvXyo4Wz9TJk2fhoSEWqnGTGlmPGjvDiP2gWUJ48rJgiAIrwDRgysIgiAIQo7Zm9vTx6tPpsNjTcnB3IGxtceiVhhXAZ5wZALfHvuWJG1Sgbb7ojl6I4rfdgYB8EZjD17zKZNpuZVBK+m0vhPXoq/B5U0Qcth4wqYUPFlJWRAE4RUgElxBEARBEHJkdfBqIpMiC73dFF0KD5IesCp4FX3+6cP5yPOFHkNReBCXwpgVZzHIUMvdns87Vsm0XIouhfkX56M36HGPCYe1w2HDKNClFXLEgiAIRU8kuIIgCIIgZOvSw0v4H/NneuD0Qm/bXGXO3HZz+bTOp9xPuM+QbUP48+yfaA3afNUryzJa/dM6knXJ3Eu4x+2421yLvsblh5c5F3mOyw8v5/cWci0iLoUh804SlZBGCSsN0wfWQqPK/Ne2NcFriEqO4s3yXTFbNQQUKuizBFSaTMsLgiC8zMQcXEEQBEEQsrUqaBUAfbyKZiVehaRgSLUhNCrbiM8Pf87s87N5mPKQrxp+hd6g5+MDH6M1aEnTp6E1aI0vvZY/Wv6Bi7ULN2JuMHzn8PTjT8ooJSWBQwIB2HtnL+MPjX+m7UoOlVjXdR0Am25sIiYlhkFVB6GQCqafIPRREgPnnuDOoyQ0KgXT+tekjJ1FpmVT9anMvzgfJ/MS9Dq2EFJioP/fUNavQGITBEF40YkEVxAEQRCE54pLi2Prza34OPlQ1bFqkcZS0aEiyzst54ej07BMqk9YdBIu9hbsD92PWqE2vpRqVAoVaoU6vYfWTGmGq7UrGqUmQzm1Qo0sy0iSRAX7CgytOjT9+JOyJcxLAGCQDSy7sozLDy+zN3Qv3zb+FjcbN5Pe37UH8Qyad4IHcalYaZT8NbQOjSo4ZVl+TfAaIpMj+VRvg/mjW/Dab1C5vUljEgRBKE5EgisIgiAIwnNtur6JFH1KkfXePqE3yOy+8oBFR0M4esMLiGHF0SPMGlQ7vRc2K642rizptOS5ZbxLeONdwjvL8wpJwYL2C/jfmf+x/Opyem7qySd1PqF35d4mWXTrXGgMwxacJDpJi72lmoVv1MPPzf651ygkBeXtytPbviG4tYG6w/MdhyAIQnEmElxBEARBELIkyzIrg1Ziq7GlvUfR9AzGJmlZeeoOi4/dJiw6Of24UgGPEtMY8NdxfuxRg951TNubmhlLtSWf1/+cVu6tmHhkIt8e/5aA8AAmN5+cr3qP3XjI8EUBJKbpKWljxtLh9alcyibb6/pX7ktfr77G4dKynK8YBEEQXgYiwRUEQRAEIUsG2cBI35EkpiVirjIv1LaDwuNZeDSE9WfDSNEaAFBI0KZKKYY19mDGGX/2nqkEBk8+XXOe6xEJfNbBG6Wi4Pd8rV+mPuu6rmPyqcnULV03X3XtvvyA0cvPkKYz4F7CkqVv1cfd0fK516Tp00gM+AuH63tR9F4IZjZir1tBEAREgisIgiAIwnMoFUo6e3YutPaeDENeeCSEYzcfph+3s1DTr64bgxqUw62EJaGxoay7MpMUMxXO2k+w0Ddg9sGb3IhMYEq/mlibFfyvONYaa75p9E36+9txt/nz7J+MqzcOJ4us583+24azd/l49Tn0BpnKpaxZ+lZ9Stpm/0HChqM/8uv1VUxPVFFXl2pMcAVBEASR4AqCIAiCkLlHKY94mPyQSg6VCrytmKQ0VgaEsuR4xmHIXqVsGNbYg+5+LlholMaD2mSuLutBrMGCbiSzx3wyVR1+5FZYZXZfiaDXzKPMHVoHV4fn94Ka2vZb29kesp3j948zscFE2nm0e275JcdCmLTpErIMvm72LBxWFwer7Lf20d49zdzglZgrJKr1WgZWOUumBUEQXgViH1xBEARBEDK1MmglPTb14OT9kwXWRlB4PJ+vu0CDH/fw47arhEUno5CgfbVSrBjRgO1jm9K/nvvT5PZeINqZjWkbEcxtZLajI82QyuHoz/iysxsapYKr4fF0n36E07cfFVjcmRnpO5Jfm/8KwMcHPuazg58Rmxr7TDlZlpm+7zoTNxqT20YVHFk2vH6Okltiw9iwfhD3VUqGVuyFZenqpr4NQRCEYk0kuIIgCEKRStGlsDluM3MvzC3qUIR/0Rl0rAleQ0nLktQqVcukdesNMjsuhdN/znHaTznIipN3SNEasLNQM7KZJwc+bcnswXVoWMHx6erEeh0cmAxzWyNF32KCQos3CcgSSDI4oiAg+k9WvF0fRysNUQlp9J9zgnVnwkwae3bae7Rnfbf1tHBrwbZb2+i+sTsPk58OtZZlmZ+2XWXyjiAA2lYtxfxhdXM8pFr7z0fMNQd7pQX9G4wrkHsQBEEozsQQZUEQBKHIxKTEsOjyIg4kHeDC5QsMrTYUtUJd1GEJwIGwA0QkRTDabzQqhWl+XXgyDHnxsdvcjclmGPJ/Xd8F+75D61iRhtEXOC1r4XFyuxoLyusVtDi7gInNJrLxvcYMX3SKq+HxfLTqHNcjEviknReKQlh8CsDJwompLaey+eZmLkRewNHCETAm9hM2XGDFyVAAetR04ZdePqiUOe9v2FSjI/fOXuED37exVBfuEGxBEITiQPTgCoIgCEXmQNgB5l6Yi5PSiUcpjzgcdrioQxIeW3l1JUpJSc9KPfNd19XwOD5fdz59GPLdmGyGIT8hy5AcY/y6cgfoPpMxbr6c/1eeKktwHj21UDJH1vDtAX9cHSxZM6oRrb1LAjBj/w1GLTtNUpou3/eSU5Ik0bVCV75s8CUAiWmptF46jFUX9wEwtGE5fu3t+9zkNjQ2FK8/vQiNuQMRVwFwsC+Hj7MP/b37F/xNCIIgFEMiwRUEQRCKzL7QfSgkBYPtByMhseH6hqIOScC4GvCx+8do5d6KkpYl81SH3iCz/aJxGHKHKYdYcTL06TDk5p4c/CyTYcj/FncflvWC5X3AoDdugeM3gD2hh9HLehSSIv31vaRjAzr6ySoqXN0KgLWZijlD6jCymScAOy49oNfMY9z7V89xYUlO0zNs2Uai9BexLDeXurX381nH8tn2KPsf8Cf4YTABqwbArMZwfTet3FuxrNMyrNRWhRO8IAhCMSOGKAuCIAhFIkWXwtF7R6lZsiYukguNyjbiYNhBHiY/TB/SKRQNvaynjXubPPUSxiSl8XdAKEv+MwzZu7QNQxtlMwz5iYvrYMtHkBwNfgNBlwoa43Dc4PeDM78mNR7mtmFcVDBc3w0V26BUSHzeqQoVnK35csMFLt+Po9v0I/w1pA5+bva5vre8iEvR8tbCAAJCrJDUH+BVfStXk7bT+59LfN/ke2qWrJnpdaGxoSw8t5D+sooe9y6Q6FyZB7al8CyUqAVBEIov0YMrCIIgFInj94+TrEumpVtLALpX7I5O1rE9ZHsRRyZ42nnyR8s/qFu6bo6vuRmZwJKrehr8uIefMhmGvO2DLIYh/1tyNKx5C9a8AZIC+i6F7jPSk9vnMrOBfsuNf27/3Njr+1ifum4sfas+DpZqIuNT6Tv7GJvO3cvxveVVVEIq/eccJyAkGoUEP3dtydY+y/ms7mdEJEUwdNtQdt/enem1/gf8aS2rWIAFYciMcHSm+7aB7AzZWeBxC4IgFGeiB1cQBEEoEnvv7AWglVsrLoddpqV7S/5s9SeNXRoXcWSml6JL4X7ifcrblS/qULIVlRxFCfMSKKScfwZ+8W4sfWcfIzFNBmTsLNT0q+fG4AblcrcX7b4f4OIaqNwRuk4F61wOj3asAP1Xgr07KDIm0vU9Hdn4bhPeWhTAtYgExqw4y/WIBMa2rlQgi0/di0lm0NwT3IxKRK2U+F+/mnSqUQaAwVUH09ilMdPPTqdh2YbPXBsaG0pY4GLWG8xIBjqRSGrCDUpYlqBB2QYmj1UQBOFlIhJcQRAEoUi082iHg7kDbrZuXOYyZkozmrs1L+qwCsSkI5PYFrKNaa2m0cKtRVGH81xj9o5Ba9CysvPKHCW5dx4mMWxBAIlpehzMYNxrNeiWk2HIT6QlgVJtfLX8Alxqg09f45zbvCj3r4QxMggcK4HCeB/ujpasHd2IMSvOsj8okql7rnEjIoFfe/vmPN4cuBmZwOB5J7kbk4y5WsHswXVoXtk5QxlPO09+a/Fb+vupZ6aiUqgY4TMC/wP+VEBJEjLtSSLU2hZXtQZ7lT22GluTxSkIgvAyEkOUBUEQhCLRxKUJH9b+MMMxWZY5G3GWf27+U0RRmV54Yjg7bxuHlY4/NJ6bMTeLOKKsXX54mQtRF6jqWDVHye3DhFSGzD9BVEIqJaw0fOinpF92w5D/7e5pmN0MDj1O9CwcwLdf3pPbfws5DLOawoGfMxy2NVczb2hd3mxs7E3fcuE+fWYfIzw2Jf9tApfuxdJn9jHuxiRjY65i6Vv1n0lu/0ur13L47mFmnptJn029WX55OdPlZCqTyGnJgLO9M3qDnr3BewmNDTVJnIIgCC8rkeAKgiAIhS4yKRJZljM99+3xb/nhxA+k6lMLOaqCYaux5dO6nzLabzQpuhTG7BtDXFpcUYeVqVVBqwDo49Un27KJqTreXBhAyMMkLNRKFgyrSynLHCamei3s+xHmtoWY28Z5s6ZWthY4e8GBn+DK5gynlAqJSV2q8sPrNVApJC7cjaXb9MNcCIvNV5OnQh7Rb85xohLScLLW8PfbDajjUSLb69RKNcs6LWNE2RbcjLlO+dIeONk68UiSsbOyw0xtxsO4h8iyzLcHv81XjIIgCC87keAKgiAIhUqWZd7Y8QaDtg565pwkSXSv0J34tPj0ObrFnaXakoFVBjLKdxSf1v2UZF0yDxIfFHVYz4hLi2Prra3UcKpBNcdqzy2r1Rt4d/kZzoXFolRIzBhUC9+crkocGQzz2hoTz5JV4e390PDdfMf/DI2lcdEpSydY/w5EXHmmyID67ix+qx52FmoexKXSe/ZRtl64n6fmDgRHMmjeCeJTdJS1M2fVyIZUK2uX4+vVVzYz5ugypt2PBJ2W0iVK4+rkik6nIz4pnkfxj9DLevaH7M9TfIIgCK8KkeAKgiAIhepW7C1ux92mimOVTM93rtAZlaR6KfbEvfzwMvcTniZMA7wHsL7beio5VCrCqDK3+cZmknXJ2fbeyrLM5+susD8oEoCfe/rQ0iuHi0EZDLByENw/B00+hBF7oNTzk+l8sXeDPotBlwIr+kPSo2eKNKrgxIZ3G+PpbEWK1sDoZWeYtudaliMMMrP1wn2GLwogRWvA09mKNaMa4elsnfM4z6+GtW+BdUmajTjMqWHnGVJ1CFv6bCFhfAIho0LQTtCin6TPepskQRAEARAJriAIglDI9oYae2afbA/0XyXMS9DMtRnH7h0jPDG8MEMzue+Of8frm14nWWfcD1aSpPRFgs48OMOu27uKMrwMknXJlLUqSwePDs8t9+vOINacDgPgsw5e9Krtmn3laYnGPxUK6DoN3tgGbb4GlVk+o84Bj8bQ4SeIvgXBOzItUt7JivWjG9O0khMAv+0K5oO/A0nR6jMt/28rA+7w3vIzaPUy1crasmpkQ8raW+Q8vsDlsP5tsCkDw7aAUyXMVeZ8WvdTfJx9cl6PIAiCAOQwwR0zZgweHh5IkkRgYGC2xwGuXbtGo0aNqFy5MnXr1uXSpUumjFsQBEEopvbd2YeV2uq5e6x2r9gdGZmN1zcWYmSmdSHyAheiLtCxfEcsVBkTHq1eyxeHv+CLQ19w5eGzQ2eLwvAaw9naYyvmKvMsyyw+FsL0fTcAGNqwHKOaV3h+pbIM51fBH9XhzgnjMff64F7IW93UHQ4j9oJf/yyL2FmoWTCsLkMalgNg07l79JtznIj4rBefmnvoJuPWXsAgQ10PB1a83QAn61wk7XotHJ8Bti7G5NYxm++nIAiCkK0cJbi9evXi8OHDlCtXLkfHAUaOHMnbb79NcHAw48aNY9iwYSYJWBAEQSi+IpMiOR91niYuTdAoNVmWa+LahIFVBtLEtUkhRmday68uB6C/97NJlVqp5pdmv6CX9Xyw7wMeJj8s7PAy0BuMPZVKRdarH2+7cJ+vNhk/rO5UozSTulRD+tdqx6GxoYQnhD9d5TfpEaweButGgEIF2qQCiz9bkmTcfgggNcG4wnImVEoF/t2q49+tGkqFRGBoDN3/PMKlexkXn5Jlmd92BvHdFuOHEy28nFn8Zn1szdW5i0uphsEb4I2tUOLF3yNZEAShOMhRgtusWTNcXZ8dgpTV8YiICE6dOsWgQcYFRHr27EloaCjXr1/PZ7iCIAhCcXYz9iY2GhtaubV6bjm1Qs34euOzXezoRRWVHMWOkB3UKVWHyg6VMy3j4+zDpIaTuJ94n48PfIzWoC3kKI0ikyJpu6Yt66+tz7LMiZsP+WBlILIM9cuX4Pc+figVGVdM9j/gj86gM67ye20XzGgIlzdAlS4w+hhUyHxIeqFbPQyW9oR7gVkWGdLQg4Vv1MXWXMW92BR6zTzGjkvG4fIGg8zXmy4xba/xd5rXfMowZ3Cd3O2je2IOXFhj/NrKCezd83gzgiAIwn9Jci5WUfDw8GDDhg34+fk99/jp06cZMGAAQUFB6WXq1avHTz/9RKtWz/5S8/vvv/P777+nv4+JiWHt2rW5vJXClZKSgrl51sO4hOJBPMeXg3iOxYte1iMjo5JU6ceyeoZ6WU+4LhwXtUthhphvuxN2sz1hO4PtB+Nr7vvcshvjNnIo6RCNLBvRw7ZHIUX41K6EXexI2MFQ+6HUMK/xzPm7CTKTz+pJ1kFZK/i0phJLdcbkVm/QE54Qjr3aHl3iTXpd+x690oyr5d/knlMz0+xrayJ28depe+kr0tS2HPf5iTR11isdhyfJTD+vJ8I4hZrungrCE2WOPzD+6tSkjMRALwWKXNxfuXv/4H17MfEWbhzz+RlZocr+okIm/k19OYjnWPyJZ5i5t956i7CwsCzPvxD/qn700Ud89NFH6e9dXV1p3759EUaUvR07drzwMQrZE8/x5SCeY/GX1TN8d8+7BDwMYF8f47zd4sLqrhWGawY+avYRqmwSmNaG1ozaPQq/Un6082mXYdhvQdMZdExeO5mSliUZ22XsM7Hei0nmqxlHSdbpKWtnzrrRjSlt9+wvWyM2jWBx0GJmeM1g9K0vSfRoxhvd51PD3o1nU+ai1h4qOmCxYRQtIxfCkI3GocJZ6NY+jVFLz3Ds5kM23DSkHx/ZzJPxHb1z97wO/wG3F4OzNzZDNtHOplQ+7qPgiH9TXw7iORZ/4hnmTYGsouzm5sb9+/fR6XSAca7KnTt3cHcXQ3AEQRBeVYfvHuaHEz9k2DYnO81dm5OsS2ZnyM4CjMz0mrg04bcWv2Wb3AKoFCpmtZnFKN9RhZrcAhwMO8iDpAf0qtTrmVhjktIYMv8k4XEp2FmoWfxWvUyT29DYUHYFLmKDToV12iPS9Gm8Hbqf0Ben0/ZZfgOg/ii4fQS2j39uUXtLDYvfqkf/ek9/h/m0vVfuk9sDk2H311CyGgz9B17Q5FYQBKG4K5AEt2TJktSqVYulS5cCsHbtWlxdXalYsWJBNCcIgiAUA//c/IcVV1fkKinoWL4jZkqzYrUn7s2Ym7m+5sniTglpCUw8MrHQtkdaGbQSpaSkZ+WeGY6naPUMX3SK6xEJmKkUzBtah4olbTKt4/v9X7PcYEZHVJRIuQeAQlIY5+K+yNp9B+WbQejJp9sYZUGtVPDD69WZN7QOi9+sx7stK+Yuub0XCPu+g9I1YOhmsHbOX+yCIAhClnKU4I4cORJXV1fCwsJo3759eqKa1XGA2bNnM3v2bCpXrsxPP/3EggULCuYOBEEQhBee1qDlYNhBqjpWpbRV6RxfZ6OxobV7a85EnCEkNqTgAjSRoEdBdNvYjRmBM/J0/ekHp9lwfQNj940lRZf19jSmkKRN4lbsLVq5t6KkZcn043qDzJgVZzl1OxqFBNP616SOR4lM6wiNDaVy4AoaoeBXUrljWx2ANH0aCwIXPF1R+UWkVEGfxfDmDtBkP/xdkiRaVylFs8p5SE7L+kGvBTBkE1g55v56QRAEIcdylODOnj2bsLAwdDodDx48SF8NOavjAF5eXhw7dozg4GBOnTpFjRov3iwcQRAEoXCceXCG+LR4WrrlfiXd7hW7A7Dxxou/J+6KqysAaOrSNE/XN3drzogaI7j08BL+x/zJxTqQuWaptmRrj61MbDAx/Zgsy0zaeJGdlx8A8G336rSrlvUHEps2juQjWc0RdHxOaoZzEtKL34tr4QAaS+PXF9dC3D3T1S3LxtWSUx5vMVS9B1hm/kGBIAiCYDoFMkRZEARBEP5t7529AHlKcOuXqY+Pkw+2GltTh2VSsamxbLm5hRpONajhnPcPdd+r+R4tXFuw+eZmllxeYsIIn6VSqHAwd0h//+fe6yw7cQeAMa0rMbD+s/vcp3t0i8G3jhKJTH8pFYNCgYSEQlKgkBToZT37Q/YXaPwmE34R1rwJfw8ErQl6zmUZtn8O2z6Fvd/lvz5BEAQhx16IVZQFQRCEl5csy+wL3YeLtUuWe8I+j0JSsOy1ZQUQmWltuL6BFH0K/b3756sehaTgx6Y/MmDrAH47/RuVS1SmQZkGJorSaOvNrRy5d4QxNcdQysq42NHKgDv8tisYgH513fiwTaXnV2LlhG31XuDbnzsVWwPGFT/1k/QmjbVQlK4OTT+GQ7/BPx9C9xl539rIYDAmtgFzoVxjaP2VaWMVBEEQnkv04AqCIAgFSkbmm0bf8EmdT/K9SrDWoDVRVKalN+hZcXUFJcxL0N4j/1s6WGusmdpyKg3LNsTTztMEEWa07MoydobsxFxlXBV5z5UHfLH+IgBtqpTku+7Vs39WZjbQcy48Tm6LvZZfQqV2cG45nJiVtzoMBvhnrDG5Ld8MBq4GM2uThikIgiA8n0hwBUEQhAKlkBQ0LNuQNuXaZHp+7qGbTDiu4+yd6OfWs/jSYlqtakVsamxBhJkvCdoEfJ196efdD41SY5I6Pew8mNVmVvoCUKaaj3vl4RXOR52nY/mO2JnZceZONO8uP4PeIFPL3Z5p/WuhUj7n14MLa2CPP+h1JonnhaFQGhN2x4qw40u4uT/3dRz6Dc4sggqtYMCqHC1eJQiCIJiWSHAFQRCEAnU+8jw6Q+bJ0Nk70fyw9QqRyfDF+ovoDVkncQ7mDsSkxrDl5paCCjXP7Mzs+LnZz4zyHVUg9a+/tp5xB8dhkA35rmtl0EoA+nr15UZkAm8tDCBFa8DT2Yp5Q+tioVFmfXFkEGwaA2eXQUpMvmN54ZjbQb8VYOkIyc//wCVTdd+CBqONdagtTB+fIAiCkC2R4AqCIAgF5l7CPQZuHcj3J75/5lyKVs+na87zJKe9cj+O9WfvZllXm3JtsFJbvXB74iZqE9EbCm7eqSzLHLt/jG0h25h9bna+6opPi2frra1Ud6yOk6YCQ+adJDpJS0kbMxa/WQ8Hq+f0PqclwqqhoEuGXvPByilfsbywnCvDB+eg2us5K6/XQchh49eWJaDDj6A2L7j4BEEQhOcSCa4gCIJQYPaF7gOgSdkmz5ybsvsa1yMSkCQ95W2MW8z8tjOIFG3myaKFyoIOHh248ugKQY+CCi7oXJp6ZiqvrX+NyKTIAqlfkiS+afQNVUpUYca5Gey5syfPde0P3U+yLpmunj0ZtiCAuzHJ2JipWPhGPVwdLLO+UJZhy8cQeQVaTQSPxnmOoVh4snVQzB3jcOyshofrtbDmDVjU5WmSKwiCIBQpkeAKgiAIBWbfnX2YKc1oWLZhhuOBoTHMOXgDgBjVCrp6xGIglfuxKcw7fCvL+p7sifui9OImahPZeGMjVmornCwKrkfTQmXBlJZTcDBz4ItDX3A9+nr2F2Wis2dnFrZfwsYjzly5H4dGqWD2kNpULZvNFkxnl8C5FVCpPTQem6e2i6WDvxrn1R767dlzulRjj/aVTVC1G7jVL/z4BEEQhGeIBFcQBEEoELGpsZx6cIoGZRpgqX7aO5ii1fPp6nMYZLCxiiZJswFbjYEk9SYAZu6/wcOE1Ezr9HX2xcPWg0sPLxXKPWRn041NJGoT6e/dP98rRGenrHVZfmvxG2n6ND7Y9wFp+rRc1yHLsGCvgeM3EpAk+L2vL40q5CAxL1nVuOXN67NA8Qr96tD+B4hWGXtxvTSgVBpfGiUMKQFBWyDEHHrMBaW6qKMVBEEQEPvgCoIgCAXkYNhB9LKelm4tMxyfuuca1yISUCkkWurHUQ0dFto4NijXMltflkOpjfnfnmv4d6v+TJ2SJLGgwwIczR0L6zayJMsyK66uwEZjw2uerxVKm3VL1+XLBl9ib2af69Wa556fS8A1NTvOGxPaSZ2r0tmnbM4udq0Db2zNbbjFn5k1pLaD5C3wujnMTYSHBuhrAZVVcF4HTl1AKX6dEgRBeFG8Qh/DCoIgCIVJa9BS2qo0zd2apx87FxrDrAPGockdS23nN+L5GjPM9ElURWK6ehaVpDCWn7jDzciETOt1snAq8N7SnDh+/zi3Ym/Ro2IPLFSFt2Jur8q90rdc0upzti9wVHIU087+ycEHGwAY2dyTNxqXf/5FsgxbPoGQI/kJt/j78hdYnwoaoJ8FmAFXdHA6DTanwcSvijpCQRAE4V9EgisIgiAUiB6VerCz5870uampOj2fPB6aXK9kKuOiF5IG9CKZGPPS9CQJC0nHXM1P2Bpi+Xn71SzrPhd5jg/3fVhgCzvlRERSBPZm9vT17lsk7YfFh9Hnnz78c/OfbMt+d2ABBvRoo+vTo6YL49p7Z9/AyTkQ8BcEzDVBtMWYmxu0GAJ7dRBuAAMQqIWdBnjjDeN5QRAE4YUhElxBEAShwPy7p/XJ0GQzpcwE3Ze4IvEOKVySjHu77pf0jCaFctIjZmn+YN+lME7eepRpvRFJEey+s5vNNzcXyn1kplvFbuztvRc3m6JJcMxV5sSlxfH10a+fOyf5QHA4u8I2YtDa0qB0U37u5YNCkU0PeNgp2PEllPCELlNMG3hxNGkSnNDC2mR40mluMMDEiUUaliAIgvAskeAKgiAIJvfH6T/48vCXpOqNi0WdD4th1oGbACzx3IdP0j1mo2W5Qo9CUiAhoZAUzFfo+YM06imCeFe1gR+2XkHOZIuWFq4tsDezZ8P1DZmeL2gG2ZiUq4twYSEnCyf+1/J/yLLMB3s/ICo56pkyF+/GMnrdMhTqWBwMTZk1qD5qZTb/9Sc9gtXDQFJAn8VgblcwN1CcuLnBsGGgeTzvWaMRvbeCIAgvKJHgCoIgCCZlkA1surGJC1EXMFOapQ9N1htkqpW1pVat2uDeiJFfPkI/SY9+kh4XW5f0rz+clMD9Wh8xV/cagaExbLlw/5k21Eo1r3m+xq3YW5yPOl+o95esS6bTuk4svLiwUNvNTHWn6nzd6GseJD3go/0fZZiTe+dhEsMWnMRgcxRkBXO6v4u1WTaLIRkMsP4diA2FTpOhdI0CvoNiZNIk4/cHRO+tIAjCC0wkuIIgCIJJXYi6QFRyVPrqydP2XCf4QQJqpcSvvX1R1RxgXJFXbZ55BQolZbp+RXOfCgDM2XaCVJ3+mWJFtSfu9lvbuZtwt0h7b/+tS4UuDK46mLMRZ1l4aRHXI+JZFRDKkPkniEpIwyK2Nx/WnEDVkjnsbXSrC36DoNaQgg28uHnSiwui91YQBOEFJta1FwRBEExq3519ALR0a8mFsFhmHriBBi1r3TZQxaI6YAs5WAX5s/belLqykA+TVrJlpzk9OnXMcN67hDfeJbzZfms74+uNx0xpVhC3k4Esyyy/uhxLlSXdKnQr8Payk5Cq41xoDGaxXXExpDBtQxm+TzqYft5So2ThkA74uNrnrEKFApp9alxB+QVYqfqFM2kSHDwoem8FQRBeYCLBFQRBEExqX+g+HM0d8XKoRvc/j6E3yPxht5oa4f/AWS9o+XmO6nF3tMStakPUV5fR8OS7xNU5iG1J1wxlvqj/BXYau0JJbgECIwO5+ugqfb36Yq2xLpQ2n5BlmTuPkjh9O5ozd6I5fTuGoPA4DOlTkGunly1pr6WmSym8Kl2jQqkc9DQnRMDeb6GtP1g4iOQ2K25uEBRU1FEIgiAIzyESXEEQBMFkbsfd5mbsTXpW6smMfTcJehBPN9Uxuqb+Ax5Njb2DudC9W0/8gy7wPdO5u6gPtmP3gPrpnrM1S9Y09S081/IrywEY4D2gwNtK0eo5HxabntCeuR3Nw8S0Z8opFZJxbrO7A7XKOXA+cQW7QjdRp8ogpp6dirOtxOCqg7NuyKCHtW/BrYNQoTVU615wNyUIgiAIBUwkuIIgCILJuNm4sbzTcu5FGxj9zw0qSHeZrJkLlqWg5zxQ5u6/HXtLDR6thjNjZyijEzeRuHoUVv0XZOhhTNImsev2LuqXqU9pq9KmvqV0Wr2WoOgg6pepj6e9p8nrvxeTzOnb0Zy+Hc3ZO9FcuheHzvDsCtElrDSPk1l7ars74ONqj4VGmX7e8rYvK68tZOrZqZgpzehaoevzG97/kzG5rfOmSG4FQRCEYk8kuIIgFFuyLHMi/ARaWZt9YaFQKCQFXg7V+HTZYcwMycy3nIZaToNeC8CmVJ7qHNKoHG2ODsUz8T5tgzdB+Hko45t+/vSD00w4MoHRvqMZ5TfKVLfyDLVSzYZuG4hOic53XWk6A5fuxT5OZmM4fTua8LiUZ8pJEniVsqF2OQdquTtQu5wD5RwtM+wv/F9tyrXhHd93mHVuFh08OmBn9pxtfq7vhoOTjd/P9j/m+74EQRAEoaiJBFcQhGJrR8gOPj34Ka2tWtOZzkUdzisvJiWGMxFnOHXFiavh8dgqJOw9fJAqDAePxnmu10yl5NOOVflwxSiq6O7wtb4cPv8636hsI0palGTjjY2M9B2JQiq4DQIUkgJHC8dcX5ecpudAcGT6UOPzd2NJ0xmeKWdjrjL2zj5OZn3d7LAxz/1qzaN8R+Fp50n9MvWzLhR7F9a9DWa20HtR1qtaC4IgCEIxIhJcQRCKJZ1Bx/TA6QCcTj6NQTYUaGIjZG9v6F6+OvoVqff7AjV5o2V17Nq8bpK6u/iUYd6hUpwJM+f7LVf4u78HUlIUlK6BUqGkS4UuzLs4j4DwgOcndXm0/dZ2dt3excd1PqasddlcXRubpKXXrKNci0h45lwFZ6v0ZLZ2OQcqOFujUOR/gSeFpKBj+Y7PLyQpwMkLGr4LJcrnu01BEARBeBGIBFcQClGSNglLtWVRh/FS+OfmP4TEheBk4URUchSnwk9Rr0y9og7rlbbn9l6QFVSK1zDQfiO9mk832Wq8kiTxRacq9J1znNO3Ikj6axRWcjKM2At2LnSv2J15F+ex4fqGAklwl1xZQtCjICY2yN32MKk6PW8vOcW1COM+wHU9SqQntDXd7bG31Jg81hyzLQPDthi3BhIEQRCEl4T4X00QCsmfZ/+kxaoWnI04W9ShvBRau7fmPb/3mNVmFm85vEWtUrWKOqRXWpI2iSN3j0GSG7NVs+mn3YAm9qZJ26jv6UjbqqXQoeJ3bU9ICIcV/SAtEQ87D/yc/dh9ezfxafEmbfdS1CXOR56nU/lO2Jvb5/g6WZYZt+Y8J249QpLgzwG1WD6iAZ+096Kld8miS26vboVTC4x73YrkVhAEQXjJiP/ZBKEQ3I67zbyL80jWJfPZwc+ITY0t6pCKPRuNDSN9R+JVwosqZlVQKcSAlKK08uJu9KTRIykSVykKRafJ4Oxl8nbGd/RGqZCYF1OLcxVHGRecWj8SDAaGVRvGO77vmLzN5VeNWwP19+6fq+v+2BXMhsB7AEx8rSrtqxXcCs859ugWrH/HuOdtcv4XyxIEQRCEF41IcAWhEPwa8Cs6g46+Xn0pZ1sOnUFX1CEVW8m6ZGYEziAmJSb9mEE2cCr8FIERgUUWV0EJjQ3F608vQmNDizqULKXpDMw6tRmAkSnX0Pv0h1pDCqStCs7W9K/nBsBbt1qhrdIDrmyGvd/Sulxr3qrxFjYaG5O19yjlEdtvbadmyZpUcayS4+tWnwpl6t7rAAxr5MGbTV6AOa7aFFg9FFLjoMdfYFmiqCMSBEEQBJMTCa4gFLDwxHACHgTQwaMDX9b/kjlt5+RpFVbBaMXVFcw8N5NtIdvSjyXLyYzYNYKZ52YWYWQFw/+AP8EPg/n24LdFHUqWpu+7jk1sKm0SkihhWwll599NNvc2Mx+0royVRklUopaZtmPBpQ48uAR64wdHD5Mf8jD5oUnaOhh2kDRDGgO8B+T4miPXo/h83QUA2lQpycTOVU0SS77t+ALun4Nmn0LF1kUdjSAIgiAUCJHgCkIBK21Vmn9e/4fP6n6GJEkoJAWyLLPsyjIuRV0q6vCKlfi0eOZfnE8ZqzL0rNQz/biVwopmLs04fv84DxIfFGGEphUaG8rCcwsBWBC44IXsxb10L5bp+65j9bA2XybYYj5gGWgKdiE1ZxszRrWoAMCMo/d40HUZ9F8BShXXo6/TZnUbFl1eZJK2ulfszqrOq2hdLmcJYVB4PO8sOY3OIFPDxY6p/WuiNMGqyPl2YQ2cmgflm0GL8UUdjSAIgiAUGJHgCkIB0hq0ADhZOOFs6Zx+PCw+jN9P/c4nBz4x+YI4L7Mll5cQmxrLKN9RaJQZF+jpWqErBtnAlltbiig60/M/4J++9ZEvSlb9814RR5SRVm/gk9Xn0RkMpJaqie1HAeBUsVDafquJJ6VtzUnRGvjt0ANQKEGWqXBpC6UtnNh8Y7PJpgJUcayCWpH9XrQRcSm8uTCA+FQdLvYWzBtWB0vNCzI3XG1p3BKo5zzj90oQBEEQXlIiwRWEAhKbGkvndZ1ZHbz6mXNutm58WvdTwhLC+ObYN8iyXAQRFi8xKTEsvrwYD1sPulTo8sz5pq5NsTOzY9P1TS/F9zM0NpSNgQvx0+kB+FGv5ONr+0le3B2irhdtcI/N2HeDFhGLcfL8hWo19qBRF14yZ6FR8lG7ygCsPh3G1fA4uHcGafdXdIt5RFRyFEfuHslXG78E/MKu27tyVDYxVcebiwK4G5OMjbmKBW/UpaSNeb7az68M87e9O8HoY2BdskhjEgRBEISCJhJcQSggMwJncC/xHhYqi0zP9/XqS9tybdkRsiPTJFjIaM21NSRqExntNzrTFZM1Sg0dPDpwI/YGVx5dKYIITcv/gD+TZA0nsKKxrORtklkl6bG4uQ9m1Idt4yDpUZHFd/leHFf3LaeH5XpSzaJxsi78ZK5nLVe8S9sgy/Dj1qvgUhvafEW38FtIwIbr6/Nc97Xoayy5vCRHCa7eIDNmxVku3o1DpZCYPag2lUuZbqGrvPLf/w39okKYs/NT4wHRcysIgiC8AkSCKwgF4EbMDVYGrcTH2YfXyr+WaRlJkvi60de4WLvw88mfCXoUVMhRFi/Dqg1jcvPJtPdon2WZ1yu9Tq/KvbBSWxViZKYXGhvK0cBFjJSVnEDPUfSESDJ9SaSZIoXUklXgxCyYVqtIklyt3sBvf2/jZ9VMtlrZA9DSvWWhx6FUSHzRybiy8YHgSA5di4TGYylTvS/1k5PZf2cvj1Ly9v35++rfANkuLiXLMt9svsSeqxEA/NTTh0YVnfLUpimFxoYiBS7lG8ypcXnzCzl/WxAEQRAKgkhwBcHEZFlmcsBk9LKe8XXHIz1nNVlbjS2/NPsFWzNbolPFnpTPo1Ko6ODRIX1OamaqOVbjq4ZfUc62XCFGZnr+B/z5xaBBjcRYUpD/9SN0XJIZU7YK9JgLtYY+3eolIQIKaWj2nD2X+Djme6xJYX+ZithobKhdqnahtP1fzSo707SSMaH8YetV9DLQZQrdzcpSLSWFqNPzcl1nXFocm29upqpjVXydfZ9bdt7hWyw+dhuAD1pXoldt11y3Z1JXt8COL9HObsYMWcNtDHyg0L3Qq3ALgiAIgimJBFcQTOzQ3UMcuXeErhW6UsO5RrblfZx92N5zOw3KNCiE6Iqfewn3GHdwHHfi7uT4Gq1Ba7JtYoqC9tpOXkPJ32g5qZBRSIr0l17Ws+/2AfDpDW2/MV6gS4P57WFRF+M2MAXoyv04Sh6eQFXFbba6DeZ6yl2auTbL0SJMBeWLTlWQJGNs68/eBZUZnXqvZanClcqujXNd38brG0nWJdPfu/9zP6DafjGc77cah8P3qOnC2DaV8nwPuWYwwIPLcGo+BO98enz/T3DsT+yTHrINHV1IItyQ9sKuwi0IgiAIpiYSXEEwMVmWKW9Xng9qfZDja8yUZoBx3t+eO3sKKrRiada5WWy9tZV7ifdyVD5Jm0Tb1W35/sT3BRxZAZFlFlq5gcqcfmOvop+kf+YV/H5wxmt0yeDRBEIOw+zmsGE0xN03eWhavYFPVgVyR+/ECVUdUpsahyW3dCv84cn/VqWMLb1qGXtOf9sZRHKaHsnaGYbvgXKN0Bv0Oa5LlmXWBK/B3syejuU7Zlnu7J1oxq48iyxDQ09Hfurp89xk2CQirsDBybC0F/ziATMbwj8fwukFT8t0+pVJVdpTVplKVymZC5IBAIWkEL24giAIwitBJLiCYGLN3ZqzodsGSlrmbrVSvUHPh/s/5PNDn3Mz9mYBRVe83Iq9xcYbG6lXul6Oe7gt1ZZUtK/I/tD9xKbGFmyABUGSoNt0eO13sHfP2TXmdtB1GrxzyLjPaeAy4/zcw1NMGtqs/Te4dD+eGXJPLIaupqdXDzZ230hTl6YmbScvPm7nhblawf3YFOYfuQVAnDaeYduH8cuBz2BRV0jOfhqAJEnMbjubn5v9nP7B03/deZjE8EWnSNEaqFjSmlmDaqNRPf+/0wwrGudE3H24tB72//z02O0jsPc7uHXAuOVPo/eh7zLoMvVpO3Zl+TF4PamGtAzVpelFL64gCILwahAJriCYyKOUR1yPNm7f8rx5ollRKpR80+gbUvWpfHLgE1J0KaYOsdiZETgDg2zg/Zrv5+q6LhW6oDVo2RGyo4AiK2BlfKHmwNxfV7oGDNkI/VeCrQukmm6P5eDbYdjt/wJbEnmnuSc+bsa5v552nliqLU3WTl6VtjNneBNPAGbuv0FUQio2ahtiUmLYEnaAtFsHYPUw0Guzr8uqNI3KNsr0XExSGsMWnuRhYhpO1hoWDKuLnWX2w7P9D/gT/DA4617U1AQImAtrR8CUGvC7tzHe/T8Y51cDeHeGN7bD+FAYvgvafQdVOoO1c4Z2JDLvSZaQRC+uIAiC8NITCa4gmMi0s9PotbkXVx9dzXMdtUvV5l2/d7kWfY1fAn4xYXTFT9CjILaHbKeZazP8Svrl6to25dpgobJg843NBRNcQTk2Ay5vzN9iUZIEXh2Me542+8R4LDkalrwOt4/mqUqtTk/UsuEMUe5kqP05xrSuxNmIs2y+sZkkbVLeYzWxkc09cbTSkJCqY+qea0iSRPeK3Yk1pLKvRie4uR+2jwcy71ENjQtl8aXFxKXFZVp/qk7PyCWnuRmZiLlawdyhdXErkX1yHxobysJzCwFYELiAsMggYyz7f4b7542FJIVx66cLq0BpBjUHQdc/4b1TYPU4gbUpDeUagjrrLZkO3D6AXtZnmLf97/nb+0P2ZxuvIAiCIBRnz24mKQhCrl19dJW1wWupVaoWXg5e+arrrepvERAewOrg1dQrXY8O5TuYKMriZfed3QC57r0FsFJb0dq9Nf/c/Ic7cXdwt83hUN+iFB0Cu78yDj317gxSPvcsVaqNL4Dbx+DWIbixF6p0NS5OVcIzx1WdWO5Pk7Rj/KNvSJsBn2CmUrLiygq2hWxjT+89L0QPLoCNuZqxbSszccNFlp+4w9BGHnSu0JkpZ6aw3taW9uWbGXtJnbzwfxCQ3qM6p8scAJZfXc7SK0vxLuFNvTL1MtQtyzLj1pznxK1HSBL8r19N/Nzsnw3CYIDUWOP2TZICSpTH/4A/XWQVLWQlTfRqykyvDzz+EEOhgDI+oLE09r47VwErxzx/D56Zny0IgiAIrxjRgysI+STLMj+fNM6TG1/v+dsC5YRSoeTHpj/iaO6Yr97g4u5dv3dZ13Ud3iW883R9lwpdKGlRkrD4MBNHVkB2fQX6NOjwAyjymdz+l3cnePeEMXG+sgmm14edEyA5JttL75zdQ4MbU7lhKMP1Bt/j6+6AVq/l0N1D1HCqkeu55gWtX103PJ2t0Blkft52FScLJ5q6NuXY/eOEvzYZSlRA3j6OS4GLAdLnpSZpk9hwfQMV7StSt3TdpxWmJcL986xZvZS08+sYqNzNmqpHaP9o2dMygcthWm34uTx86wg/exjnQG/7LL33tosBxmCGK7AZLTFNP4a3dkGjMU/r8WiSr+RWEARBEATRgyu8wkJjQwlPCCc0NhQ3O7c817P7zm5OPThFz0o985yM/ZeThRMbum3A3tzeJPUVN7IsI0kSlRzyvu1KgzIN2NlrJ0pTJ4sF4fYxuLwBvF4zLhJVEBwrQL9lxpWWd3wBR6eBYyWoPTTLS7Sx4VhtGk4aan60+ZLp7f0ACAgPIEGbQCv3VgUTaz6olQrGd/Dm7SWn2Xn5ASdvPaJ7xe4cDDvI2fhbdBywiq1rBnE28izWBpho0HBrSVeOOZQmQZdA/wehSL9XMQ7xtnCAsABY3I3eQG/N40ZuAPccoOnHxveSEpQaKFnFeI1lCeOfJavhf8AfhaTAn1S+I5WbyGhUGoYmhTHHrV4WdyEIgiAIQl7lqAd3zJgxeHh4IEkSgYGB6cevXbtGo0aNqFy5MnXr1uXSpUvp5zw8PPDy8sLPzw8/Pz9Wrlxp8uAFIT/8D/ijM+jyteiK1qDlt1O/Ya22znYobW5XUX2S3KbqU9kZsvP5hV8iJ++fZNDWQQQ9CspXPQpJUTySW4MBdnwOCjW0K4QFgDyawIj90Hsh+D1eyCo6xLiX6uO5v09+VmfsP8ctvRNf6t7ivX5dMFMZv597Q/cCRb89UFbaVi1FPQ/jIlg/bL1CU5em7Oq1i47lOxKqNqN75GlSDGnIwGeyiqZRN1medAsbg0znFJ1xgS5dKgAn4x35Q9ebCdo3mO08Af2gDfD2ARh56GmDvn2NCfEbW40fInSdBm39CfVoxMJzC0nTpxEiydyUZJDEisaCIAiCUJBylOD26tWLw4cPU65cuQzHR44cydtvv01wcDDjxo1j2LBhGc6vXLmSwMBAAgMD6du3r8mCFoT8Co0NZVfgIhxS7rHq7ONfNGU514v7qBVqvmv8HRMaTMDRIuuhhWk6A59u/R8hkeB/IHdJzI8nfuTjAx+z786+XF1XHMmyzNSzU7n88LJJ5nWm6dP48vCX/HTyJxNEV0AiLkPEVaj3trGX9T9kWSY8NoWohFS0eoNp2lQooNrroHw8iGfv97C8t3EhqgeX8D/gz63IVKYcT6NP2iRKNx2aPt9UlmX2he7D3cYdT7ucz+MtTJIk8cVrVQAIDI1h56Wo9KHUT3pUARKByiRQzlLihkZNt2qDsRwTCCP2gE1pgsLjeWvdPf6ne53zZXoxeMSHKCu2hLJ+YJ/9qA+xorEgCIIgFL4cDVFu1uzZIXMRERGcOnWKnTuNPUs9e/bkvffe4/r161SsWNG0UQqCKcgyRAbBlc0Yjv9JiMECbvzKQoXKuNBMu9/h53KgsQKN9eM/H3/daz5Yl4To23ByToYydTTWxn1IH4uJjuJ66D2uROk5H6njYngK1x7EozO0pAwt2Xz8HKf8blDH/dlkJjPv+L7Dnjt7mHBkAmtKrKGMdZmC+g4VuUN3D3Eu8hx9KvfBzSbvw8af0Cg1XIu+xp34O3xQ6wMsVBYmiNLESleH908bf6b+43pEApM2XuTojYfpx6w0Suws1NhZarCzUGFvocHeUv34mPFPewuN8c9/HbcxU2U9P7ztN6BQwbnlyLOa0FHWYqvrzlpZwt3RnA9aPx0qnmZIo59XP6w11vmeb16Q/Nzs6eJbls3n7vHz9qu0ruLMnPMz2HxrM2n6x3vESnANA4qUeJIfhdPS9WmPdERcCm8uDCA+VYeLvQVzh9bBUpO7WT3/XtH4v8SKxoIgCIJQMCRZznmXlYeHBxs2bMDPz4/Tp08zYMAAgoKeDiOsV68eP/30E61atcLDwwNbW1tkWU4/7uzsnGm9v//+O7///nv6+5iYGNauXZuP2yp4KSkpmJtnvVWD8OKpdeVHnGPOApCqtOSOdVW0Fi5ctKlOgsYJV3NbfG/ORGVIRalPRqVPQalPQaVP5lDN/6FV2+IQe4l6l78BYKa9LTVTUmmQkkqCZE1/y78IS5DppNvN9+r56e2myiqSMOe4oQqjtB8CYKaU6VtJSaPSUo6ShMspl5kfMx8PtQejSoxCmd8Vdl9ABtnAlIdTiNBF8Lnz59gp7bK/6LHn/X08lHiIjfEbGWg3kJoWNU0VrklIBh2y4tmkKU0vsyXEwK5QGX0+dgz6N4UEFiqwUoGlCqzU0uM/Hx9TS1TU36T9o4V4pAYTI1vROvVX+lZX4euc82eRVwXxb2pUssxXJ/ToZOhdUcE58z+I0kcxwmIEGkmToayEhKXGEgdzB1J0Mr+d1XMnwfg9+6yWkrJWL24y/yIR/ze+HMRzfDmI51j8iWeYubfeeouwsKwXES2wRaYOHjyIu7s7Wq2WCRMmMHToULZu3Zpp2Y8++oiPPvoo/b2rqyvt27cvqNBMYseOHS98jK8svQ7uHIUr/wAydJpsPG59FWJq83v0NSbe2kFS3F7mus5l+OXhaJQahvoOpd0HezKtspFWT1B4PFfDKnAQHy5HniPAeiHWiWWoEdcICZkLycZM5Krkxjx9J8pY6CltrsNWmczd6LNcVwbwQJqIY9oHoHdi8VUD96SS/NCjBiVtnv+PV3vaow/Qs+jyIq6VvMYHtT4w5XfshbAjZAf3DtxjSNUh9KnbJ3fXPufvY53kOmxZvYXb1rcZ32a8KUI1jdi7MLcNtPUHn97ph3ddfsBPmy5xNyYZgArOVkzqUg33EpbEJmuJSUojNllrfCVpiUnWEpP0+H1y2uMyxuNpuqdDmg0yJGqNL6P/Zs4y4MGPfEVTxQUiZHtuqnbx5a2l/L+9+46rqv4fOP66kw0KMhQQBQRliOLIrTkyc5ZpZZaYOVq2t6P17duy+a1fZubINGelWZq5yL0nCioqiLJEQDbce35/3MRMVMaFC5f38/HwIfeecz7nfc/7ovd9P5/z+cQPji+diC2nKAdHvaPZL0d1/Zt6RhfDrL9O80eShkKPZHT2Cq8nvk5WbhYAjraOFJYUUlxSTEDDAI49EcuE+XtIyElFp1ExO6ojXQIbmT0uayX/N1oHyaN1kDzWfZLDyql0gevr68uFCxcoKSlBq9WiKAoJCQk0bWpab/LK3zqdjmeeeYagoCDzRCxEWUoK4dRGOL4Kjv8G+Rmm5z3DTJP4qNXQ9WkSsxJ5+XN/Sowl1xx+ZdKXqT2mYqv2IOZCNjHnszl2IZuYC9nEp+VgLK0HFOz9NqJW1KQk30+O3puQxs5ENXYmpIkzIY270cLz6dIJecavHM/8yxtMwyI1+wmzfYJBxrZ8VPQKfx5LZe8n0bwzLJyBrW8+9PjpyKfZl7qPTYmbmBQxCRuNjXmvoYXFZ8XjpHdiXPi4W+8cFASnTl19PGsWaP7Rqx0QAHGm9UDd7Nzo5t2N6KRo0vPTaWRXS4qV9W/B5fOlw9sTM/J4c9VR/jyWCoCtTs3kPi14tJs/em3lVnQrKDaUFrxXiuPM/GKy//lcabFcRFx6ErkFCtHGMArVsWRqf0CvUpeuFZt4OZEhPw1hcuRkxoaNNdulqE5P3t6CJXvOkZVfTJTvbFZdmsSQ0CHMvXMuhYZC+i3th4uNCyuHrQRg+sqjrD9uysF797SW4lYIIYSoYypd4Hp4eBAZGcmCBQuIiopi+fLl+Pj4EBgYSG5uLsXFxTRo0ACARYsW0bZt7RoaKKxA4WXTfYM6O8g4DYv+nsjMMwxumwitBoNHCPxjCPA1k74oatLyNdiX9ECvNMdGCaDPR7soKr5xb6qvqx3uXjGcUM7S1WMorw+5H5+GdjccZnxlDczSglqBp1EYoD5EnM0LRGs+4VJeMU8s3Meao014e2goDez1Zbal0+j49PZPcdI7WV1xC/BYxGOMbjUaJ73TrXfu2RPOnIHiv7sjFcX0RQaATge9el2z++CAwWw6t4mNiRsZETQCi0vaC4d+hIDeFDbvzbcbT/LFhhMUFJteQ78QT6YNCsHXtWoTbdnqNNjqNHg633p4U2JWIv6f306JXYmpM/fvt3SRgdIvfzae20iJUkIz52ZViqsmudjreKp3IO+sPsbC7enc0asnm8+vIyE7gf2p+7lUeIlHwx9FpVLx7V/xzN9+FoCn+7RgeDsfC0cvhBBCiIoqV4E7ceJEVq9eTXJyMv3798fJyYmTJ08yc+ZMoqKiePfdd3F2dmbOnDkApKSkMHz4cAwGA4qi4O/vz/z586v1hYh6IvcixP4Gx1ZB/EYY+iW0HgnuwTDoE/DvBa43ntn1yqQvNkozGhVO4+sYd9x5qXR7kcH0t16rJtjTiVaNnQhp7ExIExdaNnZCpy1h8E/v4lzizHu3v0AD25sXINfNoqqCB5U8duPIDFUSHzT/jkReZs3RZFYdPM+O+Iu8Pzyc3i09y2zvykywAHuS99DWo23dWArnJoqNxSiKgl6jL19xCzBtGsydW/Y2RYGpU695qqdvT3646wfCG4VXLVhzUBRY8xqo1Oxr+QIvfLaF+PRcAHwa2vHG4FD6hpSd/+p0zXv1X9/XXJnxt0hXhK3Glk5NOtV4fFXxUGc/5m0/Q2JGPpmpbYB1/HLqF7YkbcFOa8ewFsNYc+QC//ntGAD3tPXmmb6VX4NZCCGEEJZTrgJ35syZZT4fHBzM9u3br3ve39+f/fv3Vy0yIf7p6E+wezac3QqKEVQaaN4d7E1rXaJSQftHbtlM3FNxJFzM496vt5FaYFrn0tVBT2gTZ1o1diakselvf3cHdJrrh4VuTdrFxfyLvNDhhdJ1am+mrFlUs1Rwj1LAVsWOifHrcHvmY34J82LaL0dIu1zII3P3cF97X6YMaoWTra7Mdv88+yfPbnqWx9s8zmMRj90yjtpsRdwKZh+ZzRe9vyDYNbh8B/n6QlQU/DAf8ouuPq/Xw5gxpu3/YKOxobV7a/MFXRUxP0PiDv5qMJSHlmcCoNOomNgjgCduD8ROb5kvLG454+/ZTdg529HTp2ftnI36Jmy0Gl7q35KnFu1ny+GGPH/Pq0R6+PHNoW8YGTSSU8kGnv7xAIoCnf3deG9461o9Q7QQQgghbqzaJpkSokrST8CFgxB+r+nxxZNwbjcEDTANPQ7qf7W4rYCU7AIenL2D1MuFNLTX8USIkXHD+5b7w2xX7678NPQnvJ28y7V/3FNxN94Y8wuOSx6GxaMZ9sgfdPLvyUvLDxEdl8biPYlsOZnOhyNa0yXg+nsAu/t0J7hhMF8f/Jr2nu3p4NWhXPHUNgUlBXxz6BtKlJKKLws0bRpcWggOWtTGItBhGqb8r97bK4yKkY0JG8kpzmFo4NCqB18JJQYj0cfTaKY04enkAQB0DXTjraFhBLibf+KmirjpexX45eQvTNk6hdt9b7/pfrXVoNaN+XbLaQ4mZrJlf3POFfwMQE+vYTw6bw+FJUYCPRz5enS7St/zLIQQQgjLkwJX1B4XDsGxlabhx2nHTffXBvYFuwbQYTx0erzMtULLKzOviIdm7yQxIx9HGy3zHunIhaM7y13cFhmK0Gv0NHNpVukYrhEyFHq9appkSKPDy0XFvLEdWLQrkXdWx5CUmc+oWTsZ27UZL/VveU3Pno3Gho96fsTIX0fycvTLLBuyDFfbihf8lrY4djGp+am83OFl7HUVvN/UrhBCdXC6BJ0xDyY5gqbtdb23V6hQ8fHej8ktzmWg/0C0ZSzPU532nr3ElJ+PcOyCNyo+wN3Jji8GhTCodeM60Vt44tIJNCoNPX17WjqUSlGpVLx+VytGztzOztMZdA7vwgPBjXhjxUUu5hbRyFHPnKgOuNiXPWpCCCGEEHWDfE0taoed38DM7hD9IeRdhMgx8MDiqwWtXYMqFbe5hSVEzdlNXEoOeq2aWQ+3p7VPg3Ifvz91PwOWD2DHhR2VjqFMvV6BTo+ZhlgrCiqVilG3NWXN0z3o2MxUsM7ZeoaBn//FvoRL1xzazKUZ0zpPIy0/jde2vIZRMZZ1hlorpyiHbw9/i6e9JyOCKzHx018zQKVQsA0MaKEEcDkI278qc3eVSsXggMFcLLjItvPbqhZ8BWTkFvHyskOM/7815CXHoVGrGNs1gPXP92RwRJM6UdwCvNDhBTaM3FAnv0i5omNzV/r9fX/zqu0uHDzYjfi0XGx1amaP6VDlSb2EEEIIYXlS4ArLUxSIXQ0Nm8PY3+H5WBjyObToC5qq96YUFBuY8P0eDiRmolGr+GpUJJ0D3Mp9vFEx8t6u98gozMDL3qvK8ZQp9yJ8P8y01BHQ1M2eHyd0YsrAVui1auLTc7n3/7bx4drjFJYYSg8b5D+IuwPvZteFXcRmxFZPbNXk+2Pfk1mYyWMRj1V8VuhLZ1AOLeaEXRta3ruYp87685zdW2Q6+MPaVzHu/KbMwwb5DwJg1alVVQ3/loxGhR93JdB7xiYW70nkee1S/rR5iT9GuTFtcMgN76+uzepycXvFKwNaolGrOJWWy87TGahU8Pn9bYnwbWDp0IQQQghhBlLgCstTqWD0ChizCvy6gBlnBS4xGJm8aD9bT15EpYIZIyIqPEPtylMribkYw6iWo8w3PPnf8jMgaR8sGwuXzgCgVqt4tLs/v03uRmsfF4wKfLnxFEP/t5WY89mlh77S8RUWDVxEK7dW1RNbNXHQOhDqFsqQwCEVOq7EYOT4srdQKQamZQ0EIM+oZoUuiH4XX+CUsTHq319k0VdvsGDHWeLTclAU0yLGPk4+tPNsx4aEDWQXZd/sNFVy9HwWw7/exisrDpOZV0wHu/M8oN2I1u82AkI7Vtt5q8v3Md+z6PiiOjdKoCwB7o6M6ti09PG0QSHcEVpNX1wJIYQQosZJgSss6/wBUw+uWgMNKjjJ0C0YjQovLz/MHzEpALw1JJRhbcs3OdQVucW5fLbvM1xtXZkYMdGs8V2jUQsY/i3kZ8KPD0JRbummQA8nlj/Whef6BaFVqziefJmhX27hy40nKTEYsdfZl84+nJaXRlZhVvXFaUYPhz7MooGL0KnL35O550wGgz7/i6MJKewyBnPSvi0fjYhgXIia+9r7YufahAeKpnDa6In3hT+Z+vMhes/YTKf/rufZxQdYsieRbl53UmQsYt2ZdWZ/TdkFxbyx8iiDv9jC/oRMAB7o4MPCpqtQo6Dq/+416zLXBQajgW8Pf8uS2CVlzrBcFz1/RxB3hnrx8p0tGdu1uaXDEUIIIYQZySRTwnLObIW5A6HHi9D7dbM2rSgKb6+OYfm+cwC8cEcQD3VuVuF2Zh2aRXp+OtM6T8NZ72zWGK8T1B96T4ENb8PPj8OIuaXFkE6jZnKfFvRu6cHzSw4Sm3KZD9fGsi4mhRkjIwhwdyQlN4WRv46kjXsbPr3901p7b2dmQSZGjLjaupY7xvScQt77/TjL9pry+aLqccZ28mZ9/1CcbXWsTT9K//6mZYASM/LYHxPC1sRiPE/nkJxdQEp2IT/tT+Kn/Umg1tHIux8bDzijyU2ic4Abns62VXpNiqKw8uB53ll9jLTLpuWnQho7887dYUTm74RFm6HNg9CkTZXOYwmH0g+RUZDB8BbDLR2K2TSw1/P1Q+0sHYYQQgghqoEUuMIyCrLgp0mgs4PW95m9+c/Xn2TO1jMAPNqtOU/cHlipdjzsPWjv2Z57Au8xY3Q30f15SD5kWit11zdw27W9xmHeLqx8qiufrDvBN9GnOJCYyV2f/cXLd7ZkTGc/bmt8G7+f/p2FxxfyYKsHaybmCvr60Nf8dOInfhz0I81dbt57ZjAqLNyVwIdrjpNdUIIdBYQ19eDNYRGENCn7CwdfV3t8u0UyBFPheemPDziW68jCgs7sOHWRi7mQntiHXxOL+HXfAQAC3B3oHOBGl4BGdPJ3w9VBX+7XczI1h2m/HGHbqYsAONloef6OIEZ38kOLEb6aAjoH6F328kW13cYE033hvZv2tnAkQgghhBC3JgWusIzfX4asBBj4MTSqXPF5I3O2nuaTP01reo5s78PrA1tVujdzVKtRPNDygZrrDVWpYOhXYN8IwsueWdhGq+GVAS3pF2LqzT1zMY+3fo3hj5hk3hz6AkfTjzJjzwzaeLQh1C20ZuIupws5F1gSu4TghsE0c252030PJmYy9ZcjHDpnGnLt6qBnkd9agjL/QuXwK3DrHnVVQRauR+fT9fJ5ut4zC+WB4cSl5LDtVDpbTp5jV9JJLmd7cCotl1NpuSzYkQBASy8nugQ0onOAGx2bu+Jid/0w6vwiA//beIJvouMpNpju8R3apgmv39UKj9IeYTUMeA+yz4Nz43Jfp9pCURQ2JG7Aw96DELcQS4cjhBBCCHFLUuCKmnf0Zzi4CFr0h/aPmLXp5XvP8eaqGAAGhHnx33taV6o4jbsURwObBnjYe9T8UF8bRxj08dXHJUWgvb5HsZ2fK7893Z33fz/OvO1n2RGfwfCvsnm0z/PMz32BFze/yJJBS3DUO9Zg8Dc389BMio3FPNX2qRte18y8Ij5YG8uiXQkoiqnmH9WxKS91d8Nl5sPg6g9O5SwW7RrAmJUwdxCsmIBKrSE49G6CPB1ZmvIEPsEK73dcxI7TF9l26iK7T2eQW2TgePJljidf5rutp1GrINzbhU5/9/B2aNaQrScv8sbKoyRl5gPg7+7AO0PD6BLY6PoYAvtW8mpZ3ums05zNPst9wfdZzf23QgghhLBuUuCKmmUogXXTwN4Nhnxh1gl3/jiazEvLDwHQvUUjPr2/DRp1xds3GA28+terpOalsnb4Wux1Flwbc8f/wb758MhasL2+x9Jer+XNoWH0C/HipWUHOZ9VwKe/lRAaPIKEywtZfmI5Y0LHWCDw653NPsvPJ3+mnWc7OjfpfN12o1Fh2b5zvPf7cTJyiwBo7ePC20PDTEu4rH8LivNMw7jVFSi23AJMM3TPHQjLHwW1FlWrwfT27c28mHkYbE4zoUdbJvQIoNhg5NC5LLafSmd7/EX2nLlEYYmRg+eyOHgui5mb49GoVRiMph5bW52ap3q3YHx3f/Taf8W0cyZ4tQa/619rXeFq68qrHV+ltXtrS4cihBBCCFEuUuCKmqXRQtRqyDwLThVbrudmtp1M58mF+zEYFSKbNmDmQ+2w0VZuuaHlJ5YTdymOR8MftWxxC6AYITUGVkyA+xfesLDr1qIRa57twdurYli69xxHY8NxdouiQXFfFEWhRCmp0GzF1eGrA19hUAxMbjv5ut7bmPPZTP3lCHvPXgLAxU7Hi/2DeaBjU9OXFPmXYOc30CgIQoZW/OSNAq8WuT9NAr+uDA4YzLyYeaw8tZK2Hm0B02Re7fwa0s6vIU/2bkFBsYH9CZlsj7/I9lPp7E/IpOTv4rZfiCfTBoXg61rGeyT9BKx9DRq3gUf/rHMzJ1/RwLYBo1qNsnQYQgghhBDlJgWuqDlFeaC3Ny0HZMYlgQ4kZvLo/D0UGYy09HJiTlRH7PWVe2tnF2Xzv/3/w93OnUfDHzVbjJXW6XG4cBAOLYZN/73pbNPOtjo+HBHBHaFevLriMOkXW/L0jweYvTWeSw3eJbxROM92mEALV/Pe81xe3X2646BzINIzsvS57IJiPlkXx7xtZ/i7bmREOx9eGdASN0ebqwfvnAlFl6H7jMqvk+weZCpys5PA3pVge1eCGwaz9vRaXun4CjYam+sOsdVp6BzgRucAN+gXRF5RCfvOZuJkqzX1Kt/IH1PBWAJ1cFmgKy4XXSavOA9PB/N9ESWEEEIIUd3kpipRM9Ji4dNwOLLCrM3GpVwmas4u8ooM+LnZM39cR1zsK99TOfPgTC4VXuLpyKdx0DmYMdJKUqlg8GemnsDoDyBm5S0P6RfiyR/P9uCucC8ADp9PIj1Lx1/Jv3PPqru5/fuH+fSvtaXL2dSUQf6DmNZ5GmCavOiXA0n0mbGZOVtNxW1LLyeWTerMhyMiri1uAdRa8AqHsCouVePREgL7mH7OTGRww1AuF19mU+Kmch1ur9fSrUWjmxe3pzZC3O8Qeg80va1q8VrQmjNr6LusL3+d+8vSoQghhBBClJv04IrqV1IEK8ZDfgY4e5ut2cSMPB6avZPMvGI8nW1YMO42PJwqv55pUk4SC48tJMwtjMEBg80WZ5Xp7OD+H2BmT/jlSWjewzR50k24Ouj5clQke85eYv2xVDbHeRN7+gh6t82kOR1gdvx+Zh4KJsD4NL2CPOgZ7E5b3wZoNeb/zis+Mx4FhYAGAQCcSLnMtF+Osj3etKyOo42W5/oF8XBnvxufv8cL0O25it17ezOKAotHM/BiHCuDWqNRVbJX+N+MBlj7OmhsoN+b5mnTQjYkbECr1tLGo42lQxFCCCGEKDcpcEX12/yeaZht9xfM1qOVml3Ag9/uJCW7kIb2OhaMu63seyEroIlDE97r8R5NHJrUvhljXXzgvu+hpOCWxe0VKpWKDs1c6dDMlVcGtCQluwOb4wbx+/FD7Mn8CUOhA0fSsjmSlM1X2zfjgDfdW3jRM8idnkEeeLlU/suCf3pv13vsTt7Nz0N+Y+H2TGb/dbr0Ptbrl9X5l6I8MBaDrYv5ilv4u2f8UxrNG8ry4weh3fXDkyslcSekHYOuz0CDpuZp0wJyi3PZeWEnHTw74KR3snQ4QgghhBDlJgWuqF4JO2DLJ9A4Anq+bJYmM/OKeGj2LhIy8nDQa5g7tiMtPKv+IVylUtG/WX8zRFhN/Lpc/Tn/EuidTJN2lZOnsy0j2/sysr0vJYYBHDyXyabYNDbGJXLGfhZGo551Sd347WhHMNrS0svp72LXnfbNXK+fJbgcdifvZvuF7US69uH+/4vhQlYBAIEejrw1NJQuAWUsq/NPe74zDc1+6Cfwblfh899Uk7amdr8fBgvvo2TUYrTNu1etTb8uMGlLnS5uAbYmbaXYWMztTW+3dChCCCGEEBUiBa6oPsX5ptl/NXq4Z1aZa7lWVG5hCVFzdhObchm9Vs23Yzrc/H7I8oRpLOadHe8wquUogl2DqxxjtctMgHmDodVguOOdSjWh1ahp5+dKOz9XHrvdl+8OTWDh8QVc9vwNW/cNFGZ0Ija9C8eTLzMzOh57vYYuAY3oGexOryD3cvWWK4rCh7s+BUVD9K5IlOIC7HQaJvdpwbhuzW9dMBfnw7bPQWsHHqGVep235NMORi/n1V9Hc+bPCSwavMR0r29lGI2mXmbPaoq1Bv2Z8CcAt/tKgSuEEEKIukUKXFF9dHbQdzoU5YJ71QvHwhIDE77fw4HETDRqFV+NijTNbltFS2KXsOLECrzsvepGgevoCQ4esO0L8IqA1iOq1Jy9zp4n241nQpsxrI5fzXdHvuOMehMeXidwz5rCwcQs8ooM/HkshT+PpQDg7+5AzyB3egV7cFtzV2x1197DWlBs4LXfl3Ds0iGKMjuiFLsxIMyLKYNC8G5gV77A9i+AnBTo/1/QmWe4dJl8O2IT0IcjF7YQp1ERVJk2Lp2BBcNhwPsQ2NfMAda8Jg5NCHMLw8vBy9KhCCGEEEJUiBS4onpVddbbv5UYjDy96ABbT5omJvpoRGv6hlR9+ZJcYy5fHvgSLwcvosKiqtxejdDamO7H/aYXrHwSGrWAJm2q3Kxeo+fuFnczNHAomxI3oSgKffy6kZlXxAfbZ5Oa5sHBUy6kXS4kPi2X+LRc5mw9g41WTSd/N3oFm4Yzn07PZfqqI2Q4z0Nto8XDMJC3x3agV7BH+YMpKYItn4KDO7SLqvJru5XBEY+y/MIWfj37B8+5h8HllIqt07xuOlw8aRqtUEel5KbgoHPAUe/Ik22f5N6gey0dkhBCCCFEhUmBK8zvcrJptt8734NGVV9z1WhUeHXFYdYcTQbgzSGh3N3Wp8rtAqzNWcvlostMuW0Kdtpy9izWBk5ecN8CmDMAFo+G8RvB0d0sTatVano37V362KjO4fekbyhRSmjfrj19Gt9HVkYA0XHp7D17icISI5vj0tgcl3ZNO7ZFg+kRbuTT0UOv6+G9pYOLIPsc9H3TtHZyNWvr0RZvR29+jf+Vp3NL0Gz/EsasNN07fitnt0PMzxA80DTDdR0UfS6a17e8TpcmXXi/x/to1Vp8nMzzOyaEEEIIUZNq2VSxos5TFFNxe3IdpBwxQ3MK//ntGEv3ngPguX5BjOnSrMrtApy4dILtedtp69GWAc0HmKXNGuXTHgZ9AlmJsO2zajuNq60rSwcvZUjAEA6kHuD9Ay/yZ/ZLjO6bzt6pffl6dDse6NiUJv+Ydbl3Sw/+eGwsXw99quLFLYDewVRcdhhnxldyY2qVmsEBg0nLT2Ong6Pp/t/5QyH5Fu9hoxHWvgpqHdzxdo3Eak5FhiI+2P0BT6x/AoNi4A6/OywdkhBCCCFElUgPrjCvPbNNxW3EAxA6rMrNfbHhJLO3nAZgXLfmPNW78j3CBSUFnMk+Q0Obhng6eLIlaQsAL3d4GZVKVeVYLaLtaLBxguC7qvU0gQ0D+U+3//BU26f4PuZ7lsUtY0nsEgYHDObOMC/uDPNCURROpuawJ3U7vg0L8XWtQo94+L2m4e01mJfB/oP5+uDXHNBCl/t/gB9HwfwhELUaPFqVfdDhJXB+P3R6AtwCaixWc0jITuDF6BeJuRhDG/c2vN/jfZo4NrF0WEIIIYQQVSIFrjCf9BOwdoppiZQBH1S5ublbT/PxujgARrTzYcrAVhUqRDclbmJP8h7is+KJz4rnfM55FBSebfcsj4Q9wtiwsejP6gltVMdnvQ0ZavpbUSA9ziwTet2Il4MXL3Z4kQmtJ5BRkFH6/OQNk2nRsAUjg0Yyf8snZBVm8ce9f+Cod6zYCYwGyDoHDf1qtLgFaOrclHX3rrs6sdLI703Dv+cNNhW5ZV3XolzT+73nizUaqzm8teMtjl08xvjw8Tze5nG0avnvQAghhBB1n3yiEeZhKIYV46GkAO6eCbbOVWpuxb5zvLEqBoA7Q7347z3h1xS3iqKQkpdCfGY8p7NPE59pKmL9nP14o8sbAKw7u46Vp1aiU+to5tKMfn798G/gT3vP9qXtNNLeYh3WumTD26aZlaN+A98O1XoqFxsXXGxcAMgqzOJU5ik2Jm7k28PfYlSMTG47ueLFLcDRn0xLS42Yc7Vwr0HXzBocfCeMmAs/TYLs82UXuB3GQeTDoNHVWIxVUWQoQv/3RFjTO08nKSeJTo07WTgqIYQQQgjzkQJXmIehCDxCwL8X+HWpUlPrYlJ4cdkhALq1aMCzAxuwOWkjF3IuMDpkNABL45by9o5r73l01Dnibn91oqVJrScxsfVEvB290agrcR9oXRMyDLZ/Zep1nLAJnBvXyGldbFxYOWwlGxI3MPfIXC4XX+bBVg9WvCGjEf6aAVpbaNbd/IGW08pTKzl28Rgvd3wZWg0Cv0Ng72raqCimnuWcvyfUcnSvM8VtbEYsL2x+gYkRExnkPwhfJ198nXwtHZYQQgghhFlJgSvMQ+8Aw74yFSmVoCgKKpWKbafSeWLxZnSNV+DieJGj2nTuXVVSut+wwGE46h0JbxTOfcH34e/ij38Df/xd/HG3c7+ml9fXuZ59eG/cGob+D5aPg+dawPx8MJSxX0AAxMWZ9dQatYZ+fv3o59ev8o3ErobUGOgy+WpBaQGbEzfzx9k/eCjkIdM9qVdiuXQGfnoM7v4/2PQeHF8Nj201DVGuxRRFYdHxRczYMwOjYiS7MNvSIQkhhBBCVBspcMV1jEaFFfuTiDmfjZ1eja1Wg61Og61OjY1Og53u6mN7CvCOW0BO5ARsbOyw1Wmw02uw1arRam49SXdecR6rTq3ih+M/ENXiFaYuzqaoWIeT0zE8nbwJbNCN5g2amwpZF39stDYAtHJrxRS3KdV9Keqe8Hth7gfgEwt36mFVwbXbdTro1csiod2UosDmD0BrB12esmgoQwKG8MfZP/g1/lcmtJ5wdcP5A5CwHWb3h5xkCOgNLrX7S5Sswiymbp3KxsSN+Dj68GHPDwlrFGbpsIQQQgghqo0UuOIauYUlvLD0IL8fSS7X/u9qZ9FOu5Fnt2bxk/HaYaVatervQthUDF/5206nQa3L5JJ2I2lEU0IeOhx48/docovC8XNrwA9D/8KnYdXu4623Ji+BKWEQooPoQshSrm5TFJg61XKx3ciJPyD5ENz2GDh6WDSULt5dcLV1ZdWpVYwPH391VEDoMCj+Cn5+HFRquOM/NT4RVkUYjAbG/D6GU1mnGNB8ANM6TavcfdFCCCGEEHWIFLiiVGJGHuPn7+F48mUAugU2Qq9Vk19koKDEQEGxkcJiA/nFBgqKDXQu3sUozUaiDeH8bOx6XXslRoWcwhJyCkuueV7XcAs2nqtRoWAodKc44w4uZ0WCosfT2YYF427Dp6F9jbxmq+TXDOyGw7zF1xa3ej2MGQO+tbDX0dYF/LpB18mWjgSdWsddze9iwbEFHE4/TGv31lc3thkF9o2gOA88QywXZDlo1BomtJ5AoaGQYYHD6u5SWEIIIYQQFSAFrgBg28l0Hl+4j8y8YvQaNe/cHcbI9jcphHJS4avHUIwN6Dh+EQfsvCgoMVxTDBf8XQznFOazL/0vAh26UlQCZ3PU7LyURKDtABoSSqErFJQYsNNpmNgzAF9XKW6rbOo7MGeh6efGatCrIMlYO3tvAZp2grGrLR1FqSEBQ1hwbAErT628tsAFCLrDMkGVQ2peKu/seIcXO7yIr5Mvd/lX7/rIQgghhBC1jRS49ZyiKMzbdoa3Vx/DYFRwd7Jh5kPtiGza8GYHwcqnIC8d1b1zsHXzxRZw4drZZNPy0lgcu4SlcUvJKMjg016f0sevD9AcGFCdL0v4+kJUFCyYDyP04KiCrF61s/f2wiHTBFm1SEvXlrzZ5U16+PSwdCjlFn0umilbpnCp8BLtPdvzcOjDlg5JCCGEEKLGSYFbhxxIPcDBtIO092pPy4Ytq7z0TWGJgSk/HWHp3nMARPg2YObodni52N78wNw0SIuF1vdB2D3XbT568Sjfx3zP2jNrKTGW4O3ozQvtX6BD4+pdm1X8y7RpMHcuLMuD0Q7guQNO/gmBfS0d2VVntsLcu6DvG9DtWUtHU0qlUnFPi+vf27VRsaGYT/d9yvyY+Tjpnfik1yf09atFORZCCCGEqEFS4NZiGQUZfH3wa56JfAZ7nT1rzqzhh2M/AOCkc6KtZ1s6eHagm3c3AhsGVqjt1OwCJi7Yy/6ETACGR/rwn7vDsNWVo2h29IBJW0C5uiTQlWV+ANacXsPq+NV08OrAg60epJdPr/qxDm1tc6UX99tvIecOaLgbFj0A9/1Qe4bZRn9gmrCp1RBLR1KmtLw0DqUd+nvkQe2TU5TDo388ytGLR2nj3ob3e7xvWtpICCGEEKKekgK3llp/dj1v7XiLjIIMghoGcW/QvUxuO5ke3j3Yk7KH3cm72Za0jehz0WQUZPBc++cAWHNmDU0cmtDKrRU6ta7MtvcnXGLSgr2kZBeiUat47a5WPNK12a0noTGUwIUD4NMebEyzsWYWZLLsxDJWx69mwV0LcNA58FDIQwzyH0Swa7A5L4mojGnTIDoaXvkEdJkwbwj8OAombASvcMvGlrgb4jdB+EhwC7BsLDcwddtUdp7fyYaRG2hoe5Nh+xbioHOguUtzujTpwuNtHkerln/ShRBCCFG/yaehWiarMIv3dr3Hr/G/4mLjwgc9PuDOZncCYK+zp4t3F7p4dwFMa8geTDuIp4MnACXGEqZvnU5eSR52WjsiPSJp79We9p7tCW0Uik6tY9nec7y24jBFBiMudjq+HBVJtxaNyhfcXzNg039h1GJOuPvzw7Ef+DX+VwoNhXjYeXAm6wyhjULxsPfAw96yS72Iv/n6QmzslQcQ9SscWgweoRYNC4DoDwEVdH/e0pHc0GD/wWxN2srvp39nVKtRlg4HMP3eLzy+kKjQKLRqLe92e1dmSBZCCCGE+JsUuLVIfFY849eOJzU/lZ4+PZneeTru9u433N9eZ0/nJp1LH6tQ8UXvL9idsps9yXvYlbyLree3AvDzkJX8sCWf77YfRW2TRgvnYL59uBN+bg7lC+7cXtj8PniGMi01mp+2vwBA60atebDVg/Rr1u+GPcaiFvEMhX5vmX42GiBpH/ha4N7o8wfgxFoIGQoeLWv+/OXUu2lv7LX2rDq1qlYUuLEZsbwY/SKns07jZuvG3S3uluJWCCGEEOIfpMCtRXwdffF19uXJtk9Wat1KjVpDx8Yd6di4IwCFhkIOpR1iZ9J+pi5PZtvJDLTOsdh5L+aSxpZ39rahvWd72nu1J7xROHqNvsx2L+eksH/lOHqoNXDPN7S6dIgCYzGjW42+fgkVUXf8OR22fwX3fAPh99bsuW2cIGx4rZpYqix2WjvuaHYHP5/8mfjMePwb+FskDkVRWBy7mA93f4hRMfJ8u+cZGjjUIrEIIYQQQtRmUuBa2K4Lu9h+YTtPRz6NTqNjTv85ZuuRsdHY4ExLlqzPISEjA4CH2nbFo3Ej9qbsYX/qfnZc2AFAp8admHXHLAAu5FzA1c6V5NxkFh5byM/HF1NoX8Ka0Ofx8gzlAc9QHmj5gFliFBbUbiwcXg4rxpt6cyPuq7lzuwXAvd/V3PmqYEjAEH4++TMrT63kmXbP1Pj580vyeTn6ZTYmbsTH0YcPenxAuLuF758WQgghhKilpMC1kPySfD7d+ykLjy/ETmvHyKCRNHZsbNbhhmuOXOC5JQfJKzLgoNfw8X1t6B/qBdwOQJGhiCPpR9idvNs082pQEJw6xasv+3HY345ijQpFrSKosIjR8Vk0fH82HHvFbPEJC3MLgLGrTRNP/TQRjMXQdnT1n/fsNvDpCJq68c9PO8923OF3B63cWtXI+XKKcth2fhveTt6EuoVio7HhUNohBjQbwNTOU3HSO9VIHEIIIYQQdVHd+IRpZQ6kHmDK1imczT5LpEck73R9h8aOjc3WvtGo8Nn6E3y2/gQATV3tmfVwe4K9rv1grNfoifSMJNIz0vREz5Vw5gy378/GttCIQ4GR+zdk0D47H1WBFobXzqVcRBW4+kPUapg3CH55wrRkT5tqvNc0/QTMuQvaPghDv6y+85iRWqVmRq8Z1XqOs9lniT4XzeZzm9mbspcSYwnDWwwntEsoapWaBXctwNvRW+63FUIIIYS4hXIVuJMnT2blypWcPXuW/fv306ZNGwBOnDjBmDFjSE9Px8XFhblz5xIaGnrLbXXdxZxCFEWp1LFL45byzo530Kq0vND+BUa3Gm3WNWJzCkt4bvEB/ohJAaB7i0Z88UBbGtiXfX/tNaZNg7lzGbPmImPWXAQ9UPT3Nq0Rpk41W5yiFmnoB1G/wbKx0LhN9Z7rr48BBdo+VL3nqSaXCi6ZZbkgo2JErVIDMPvwbD7d9ykAerWezo0709OnJz18epTu7+PkU+VzCiGEEELUB+UqcO+9915eeuklunXrds3zEydOZMKECURFRbFs2TKioqLYvXv3LbfVdaNm7SQt08DWgiP0buVBZ383bHXlK1I7eHYg0iOSqZ2mmn3CmrMXcxk/fw9xKTkAPNqtOa8MaIlWoy5fA76+EBUF8+dDqAK9bGBRHmRoYcwY03ZhnRr4wrh1cKWHMCcNHG88g3elZJw2LVHUrDs07WTetmvAW9vf4tf4X9k0chP2OvsKH59RkMGWpC1En4tmf8p+fhv+GzYaG25rfBsjgkbQw6cHHb06VqptIYQQQghhUq4Ct0ePHtc9l5qayp49e/jjjz8AGD58OE8++SQnT57E2dn5htsCAwPNGH7NO5+ZT2zKZQC+33GW73ecxU6noWtgI/q08qB3Sw88nW1L9y82FjPr0Cz8Xfy5s/mdNHNpxpw755g9rr9OpPHkwv1k5Rej16r5793hDG9XiV6fadNg3/cw0AYuK5BpBKP03tYLV4rb8wdM9+X2ehk6P2G+9rd8AooBerxovjZrUHDDYJaWLGV9wnoGBwwu1zElxhLmHJnD5nObOZR2CAUFFSrCG4WTmpeKr5MvYY3CCGsUVs3RCyGEEELUD5W+BzcxMZHGjRuj1ZqaUKlUNG3alISEBFxcXG64rawC9+OPP+bjjz8ufZyZmcnatWsrG1q1e+s2DftTijiWpSUuUyG/2MCfx1L485hpWHBTRwhvpMK7YSrRJT+SVJJEgD4AYjH7PXSKorD+nMKyk0YUoIEeJoWrcEw/ytq1RyvaGP5JK2gx2IZ8TUP2Bk8g90svsLeHmBjTHytTUFBQq99rlqAvyqSD2gnHta8Re+woZ7yrvhyNbWE63fcvIMspmF1x+aY1cM2oJvKoN+rRoGHOrjnoT5Y95L9YKeZE4Qkc1A746f1QFIWF6Qu5bLxMmE0YITYhtLRpiZPGiZhtMcRgfb9TlSW/i9ZB8mgdJI/WQfJY90kOK6dWTDL13HPP8dxzz5U+9vHxoX///haM6NY8167lk/79yS4oZsuJdNYfS2VjbCoZuUUk5BhJtolGb7MOlcpIgH4o48Mm0D2oCQ425rvkBcUGXvvpMCtOJgEQ2bQBX49uh8c/epDLzWiA316ExMXgGozd9AN0y3wdtFqIj7fa4clr166t9e81i7i9N8wfSnDCDwQHNq96r2teBthPpmHznvQPuN08Mf5DTeUxemM06xPWE9EtAi8HLwCSc5OJPhdN9Llodl7YSYGhgDv87mBCrwkAtMpuRROHJug0umqPry6T30XrIHm0DpJH6yB5rPskh5VT6WrL19eXCxcuUFJSglarRVEUEhISaNq0Kc7OzjfcZm2cbXXcFd6Yu8IbYzAq7E+4xGvbJ3Oh6CCGQncKzo/gQEFTnjh0GL3mKJ0C3OjT0jSU2de18vfaJWcVMPH7PRw8lwXAfe19eWtYKDbaSk5YpVJDcT407wn3LYDDz8O338LYsVZb3IqbcHSHMavg+6Gw4R3TFyC9qrBElL0r9H3DbOFZyuCAwfyZ8Cer41czLnwcS+OW8tb2twDQqrREekbSw6cHPX16lh7j5+xnqXCFEEIIIeqdShe4Hh4eREZGsmDBAqKioli+fDk+Pj6lQ5Bvts1aadQq2jdzZWLR3ZzKas29/uPZeiKbDcdS2HrqIkUlRqLj0oiOS2P6yqMEeTrSu6UnfVp50Na3Qbkng9p79hKTFuwl7XIhGrWKaYNCeLizX+WGP+dngo0TqDUw5HNQjKC1Md2LGx0t997WZw5u8PBK+H4Y5KaBoly9T7ciTm0E70iwdTF7iDWtu3d33GzdSu+ZbevelsH+g+nh24MuTbrgrHe2cIRCCCGEEPVbuQrciRMnsnr1apKTk+nfvz9OTk6cPHmSmTNnEhUVxbvvvouzszNz5lydPOlm26xNUk4S7+16j1c7vkoTxyYMDxpeus3frSEPdfIjr6iEbScvsv54KhuOp5CSXUhcSg5xKTl8vfkUDex19Apyp3crT3q2cMfFvuzhjEt2JzLl5yMUGYw0tNfx5YORdAloVLnAMxNgwXBo1g0Gfgz/HELp6wuxsZVrV1gPe1fTEkI6e1NxazSYevvLW+jmpsOPo6BJWxj7W/XGWgN0Gh1vdHkDdzvTDNOBDQN5t/u7Fo5KCCGEEEJcUa4Cd+bMmWU+HxwczPbt2yu8zVooisLyE8v5cPeH5JXk0aVJFx5o+UCZ+9rrtfQN8aRviCeKEsbR89lsOJ7K+uOpHEzMJDOvmJ8PnOfnA+dNPcF+Df+eldmTAHcHSowK7/waw7ztZwFo6eXErIfbV36Yc/IR+OFeuHwB2kVVrmdO1A82jqa/jQb4aRI4esAd75TvPbP9SyjOg47jqzfGGtTLt5elQxBCCCGEEDdQKyaZqouyDFk8tv4xtiZtxdPek096fUIX7y7lOlalUhHm7UKYtwuT+7Qg9XIBm2LT2HAslb9OpJFbZGDn6Qx2ns7g3d+O4+dmj5OtliNJ2QAMDG/MhyNaY6+vZPpO/2XqVSspgHu/g7Dhtz5GiJICyEqEw0vAWAJ3vnfzIjcvA3bNgkZB0GpIzcUphBBCCCHqLSlwK+F8znk+Sv+IfCWfoQFDeanjS1W6987DyZaR7X0Z2d6XwhIDu05nsP5YKuuPp5CYkc/Zi3mAqZZ44Y5gHu8VUPnlho79CsvGgtYWRi+H5tevcSxEmfQO8OAyWHgf7PzaVOQO+BDUN7h3fNc3UHQZus8w3eMthBBCCCFENZMCtxIaOzSmjW0bRnUeZfbhijZaDd1buNO9hTvTB4dwKi2H9cdS2Z+QyX0dfLm9pUfVTuDaHFz9Yfi34BVunqBF/WHjCA8ugUX3w+5vTUXuwE+uL3ILsmHHV9CwuYwQEEIIIYQQNUYK3EpQqVQMdxle7ffiqVQqAj2cCPRwqlpDRiNcOg1uAeAZCo9tkx41UXl6B3hgsWmY+/HV0OMlcPG+dh+tDfSZDg6NQCP/zAghhBBCiJpRvnVpRN1VUgQ/TYRZt0P6CdNzUtyKqtLbwwM/wiNrryluE7MSCf5fMIm5qdBhHIQMtWCQQgghhBCivpEC15oVZMPCEaZJgZp1BxcfS0ckrInO1jQqACBxN6x6mnc2vUHT9FP837qXLRubEEIIIYSol2TsoLW6nAI/DIfkw9D+EbjrI+m5FdVnz3dwcCF9VSV0w47CI6tI7HMG34bNLB2ZEEIIIYSoR6QH1xrlXoTZfU3F7e1TYODHUtyK6jXkc/Y08GGEoqUxar5QG3h7y7uWjkoIIYQQQtQzUuBaI3tXaNEfhvwPer5487VKhTCDxJxkumXH8S1F7MXA/xnzmXNgDolZiZYOTQghhBBC1CNS4FqThJ1gKDYVtAM/gsiHLB2RqCfe2vwWilrNeFUB7VW55KtArVLzdvTblg5NCCGEEELUI1LgWou982DOnbBumqUjEfVMYlYicw/OpchQdM3zRYYi6cUVQgghhBA1Sgrcuk5RYNN7sGoyuPhCh0ctHZGoZ97a/BYqyh4Gr0IlvbhCCCGEEKLGyCzKdZmhBFY/B/vmQeMIeHAZOHpYOipRz2w+uxmDYkCtuv77MoNiYNOZTTUflBBCCCGEqJekwK3Lfn/JVNwG9IaR88HGydIRiXoo7qk4S4cghBBCCCEEIAVu3XbbJFCpof+7oNVbOhohhBBCCCGEsCgpcGuzoCA4dera51xUpj8JRggIgDjpPRNCCCGEEEIIkEmmyi8oCDSaq3+Skq59HBRk/nP27Glq22g0/XEHxtrBfXbgoIFevcx/TiGEEEIIIYSoo6TALa9/F5uKcvVnTTUVm9Ommc4D0FwDYx3ATgUr8yFfgalTzX9OIYQQQgghhKijZIhyeU2bBnPnlr1N+bvYNBpMj9Ua0wzHacegKNf0pzgPivKgOBda3w96e8iIh+1f/b3tH/uoNTBmJfj6wuM9wGk3aFVQoMD3eZCsgbFjTNuFEEIIIYQQQgBS4Jafry9ERcH8+VBURGTaLHjcAfRqcLKBue3AUAgPLocWfaEkH77uVnZbgX1B3xTyLsHuWVef19qC3gHsXK8+d/94+N9OyDXAtiJIM5qKXem9FUIIIYQQQohrSIFbEf/oxdUoRabnco0Q3Bqc3Ey9svZ/F6c6e7h9iuk5nb2pcNU7mH62b2Taxyscno+7uo9ac/05O98P362HZfOhyAh6PYyR3lshhBBCCCGE+DcpcCviH724uz2eoP8bj5uKzUnfXL+vWgM9X7x5e1o9OHne+rz/HB5tNErvrRBCCCGEEEKUQSaZqqhp00xFJtRcsXmlsAYYO1Z6b4UQQgghhBCiDFLgVpSlis1p00xLEUnvrRBCCCGEEEKUSQrcypg2DbTami02fX0hNlZ6b4UQQgghhBDiBqTArQxfX/DykmJTCCGEEEIIIWoRKXCFEEIIIYQQQlgFKXCFEEIIIYQQQlgFKXCFEEIIIYQQQlgFKXCFEEIIIYQQQlgFKXCFEEIIIYQQQlgFKXCFEEIIIYQQQlgFlaIoiqWD+DcbGxvc3d0tHcZN5eTk4OjoaOkwRBVJHq2D5LHukxxaB8mjdZA8WgfJY90nOSxbWloahYWFN9xeKwvcusDHx4dz585ZOgxRRZJH6yB5rPskh9ZB8mgdJI/WQfJY90kOK0eGKAshhBBCCCGEsApS4AohhBBCCCGEsApS4FbSc889Z+kQhBlIHq2D5LHukxxaB8mjdZA8WgfJY90nOawcuQdXCCGEEEIIIYRVkB5cIYQQQgghhBBWQQpcIYQQQgghhBBWQQpcIYQQQgghhBBWoU4XuAUFBQwbNoygoCAiIiLo168fJ0+eBCA1NZU777yTFi1aEBYWRnR0dOlxY8eOLT2ma9eu7N69u3Tb66+/Tnh4OG3atKFNmzb8+OOPNzx/Xl4eDzzwAIGBgQQFBbFs2bLSbd999x3h4eFotVo+/fTTm74Oc7VTV9WHPEZFReHt7V0az4svvljRy1Sr1Yccnjhxgn79+hEREUFoaCiLFy+u6GWq9awljzfbtyLx1FX1IY933313aSxt2rRBrVazcuXKClyl2s9a8vjaa6/RsmVLIiIiaN++PWvXri3dtnr1atq1a4eNjQ3PPPNMBa9Q7VcfcvjGG2/g7u5eGs+DDz5Y0ctU69WHPKakpHDPPffQunVrWrVqVfdrDqUOy8/PV1avXq0YjUZFURTliy++UHr27KkoiqKMHTtWmT59uqIoirJr1y7F29tbKSoqUhRFUX755ReluLhYURRFWbVqleLn51fa5qVLl0p/PnfunOLk5KSkpaWVef4333xTGTNmjKIoihIfH6+4u7sr6enpiqIoyoEDB5SYmBjloYceUj755JObvg5ztVNX1Yc8jhkzxmrzpyj1I4ddunRRZs2apSiKoqSmpipNmzZVzp07d8trU5dYSx5vtm9F4qmr6kMe/2n37t2Km5ubUlhYeNP26hpryeNvv/2m5OXllR7n7Oys5OTkKIqiKLGxscqBAweU119/XXn66afLc1nqlPqQw+nTp1tl7v6pPuRx1KhRyuuvv64oiqLk5OQoERERyq5du259cWqpOl3g/tvu3btL3zwODg7KhQsXSrd16NBBWbdu3XXHpKWlKVqttvQN+E/Hjx9XHB0dlZSUlDLPFxISomzfvr308YgRI0o/AF9RnsLGXO1YC2vMY33Kn6JYZw4dHByUpKSk0m2DBw9WZsyYcdP26rq6msfy7nureKyFtedx0qRJVv8BW1Hqfh4VRVEMBoPi5OSknD59+prn60ORpCjWmcP6krt/ssY8hoaGKlu3bi3d/tRTTylPPfVUudurber0EOV/++yzzxg6dCgXL16kuLgYLy+v0m3NmjUjISGhzGPuuusutFpt6XOff/45wcHBREZG8s033+Dh4VHm+RISEvDz87vlOW7FXO1YC2vN42effUbr1q0ZNGgQBw4cqHD7dYk15rBdu3YsWLAAgPj4eLZt28aZM2cqfI66pK7m8VbKG4+1sNY8AuTn57No0SLGjRtXLe3XJtaQxzlz5uDv739Nu/WJteZw6dKlRERE0Lt3bzZu3Fil9usCa8xju3btWLhwIUajkbS0NNauXVunP+NYTYH77rvvcvLkSf773/+W+5gFCxawZMkSvvnmm2uenzx5MrGxsWzbto13332XixcvmjtccQPWmsf//Oc/nDp1ikOHDjFu3DgGDBhATk6OxeKpTtaaw3nz5rFz507atGnDs88+S58+fa75j8raWGsea2M81cma8wiwbNkygoKCCA8Pt3Qo1coa8rh+/XrefPNNFi9ejEqlqpFz1ibWmsNJkyZx5swZDh48yNtvv819993H2bNnayQeS7DWPM6YMYOcnBzatm3LqFGj6NWrV53+jGMVBe5HH33EihUr+P3337G3t8fNzQ2tVktycnLpPmfOnKFp06aljxcvXsybb77JunXr8PT0LLPdiIgIvL292bRpEzExMaU3gj/xxBMANG3a9Jpf4n+foyzmascaWXMevb29UatNv2533303zs7OxMbGVuTy1AnWnMNmzZqxfPlyDhw4wC+//EJWVhahoaEVvEJ1Q13PY3n9Mx5rVB/yOHv2bKvvvbWGPG7evJmxY8eyatUqgoODK3Ud6jJrzqGXlxc6nQ6Arl270rZtW/bs2VOBq1N3WHMeGzVqxNy5czl48CDr1q1DpVLV7c84lh4jXVUzZsxQIiMjlYyMjGueHzNmzDU3fTdp0qT0pu/FixcrgYGBypkzZ65r7+jRo6U/nzx5UvHw8FBiYmLKPPf06dOvu+n73zeIl2dMvLnaqcusPY+JiYml+23fvl1xc3NTMjMzb9peXWPtOUxOTlYMBoOiKIqyZs0axdfXt3SyBmtiDXm82b4Viacus/Y8KoqinDhxQnFwcFCysrLK1U5dZA153Lx5s+Lr66vs27fvhvtY832c1p7Df36+iYuLUzw8PJTY2NibtlcXWXse09PTS+Pet2+f4unpqZw/f/6m7dVmdbrATUxMVADF399fiYiIUCIiIpSOHTsqimL6MNqvXz8lMDBQCQkJUTZs2FB6nFarVXx8fEqPiYiIKJ2NbODAgUpISIgSERGhtGvXTlmyZMkNz5+Tk6OMHDlS8ff3V1q0aKEsXry4dNucOXMUb29vxd7eXnFxcVG8vb1v+I+7udqpq+pDHvv06aOEhYUpERERSqdOna55HdagPuRw1qxZSkBAgBIUFKT06tVLOXz4cJWuWW1kLXm82b4Viaeuqg95VBRFefXVV5WHH364SteqNrOWPAYGBioeHh7XxHPo0CFFURTlzz//VLy9vRUnJyfF0dFR8fb2Vn755ZcqX7vaoj7k8OGHH1ZCQ0OViIgIJTIyUlm6dGmVr1ttUx/y+NtvvymBgYFKy5YtlQ4dOiibN2+u8nWzJJWiKIrl+o+FEEIIIYQQQgjzsIp7cIUQQgghhBBCCClwhRBCCCGEEEJYBSlwhRBCCCGEEEJYBSlwhRBCCCGEEEJYBSlwhRBCCCGEEEJYBSlwhRBCCCGEEEJYBSlwhRBCCCGEEEJYBSlwhRBCCCGEEEJYhf8HYfDKVqq3ntoAAAAASUVORK5CYII=\n" }, "metadata": {} }, @@ -3584,7 +32934,7 @@ "text/plain": [ "
" ], - "image/png": "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\n" + "image/png": "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\n" }, "metadata": {} } @@ -3593,7 +32943,7 @@ { "cell_type": "markdown", "source": [ - "# M6 Metrics" + "### M6 Metrics" ], "metadata": { "id": "qb0hd8a0jEiY" @@ -3775,44 +33125,29 @@ "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ - "7ce2318c0683446c8de3c37466ea910c", - "e8ecf343ccf641c993cb0460b2c34338", - "ebfb3e2b389c4e0d82a5421ed200ca22", - "b8884455eb8f4f0db2b7b777ba5b53ab", - "8b155df064704b6596e023afe670f022", - "a8aa5635fb62486f82d01d76b4f8bb1f", - "0ebcb94fc9b744c48d15806171879027", - "67bdc7dccc1f484c8ea0fc535fad06ca", - "7467c894d4c641f99f9c165ca92e3d88", - "6e0d430fc3904ac1bca1feefcf89be2b", - "563cc2c3184d47f8800623831e17dabe", - "99213f5486c749a4865b467a9f686293", - "23e09c1d6a2a4d25a4897257682ba956", - "3f67a78ff2f642bf9f6a1c3893345069", - "c680c834b8884b6c994e17679f93ed19", - "57017da8ecc14854bd0a40b2f4e8f39c", - "b9b514792d834990a96a1b1869b7050c", - "0d2969c25ea442e7bd62cfa5195789ee", - "73ac7633f7284f02a9f2cacce5199525", - "737562fb50e74c51af6bfec7270a4d0c", - "3fdbcc1fe1c94bcfac5701d660715f03", - "09a2232450644024be2b7c09d138464c" + "8a9b2224d0124580bbab900023e541c9", + "5b101be64d0d4b5989f2518cb2b2355a", + "66531e9e9eba4ef2a661d34a7325f4bd", + "c878d9cd52804c8e847eb7b2c020af73", + "e6439f79e2f840c4804c1c52aad38288", + "c4e9987987e743b1a9ae68cc59ecbcf4", + "05faa851df0247a79b7af18b8a78a6bd", + "bed58281b5a041f59226f2cfaca25400", + "adc66c2c9a81456dbb3e1bca489dfd78", + "93b8b3c7cab443a1b1de3f82ae48e176", + "525ef7aa587449fab75bf00acaa12751" ] }, "collapsed": true, "id": "MmgECEUKdc98", - "outputId": "1c1c8648-0005-4735-d7a9-420ca942e1a6" + "outputId": "c127d86f-6234-409d-e360-8e846551350a" }, - "execution_count": 30, + "execution_count": 35, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ - "/usr/local/lib/python3.10/dist-packages/utilsforecast/processing.py:384: FutureWarning:\n", - "\n", - "'H' is deprecated and will be removed in a future version, please use 'h' instead.\n", - "\n", "INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True\n", "INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n", "INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n", @@ -3828,194 +33163,101 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "7ce2318c0683446c8de3c37466ea910c" + "model_id": "8a9b2224d0124580bbab900023e541c9" } }, "metadata": {} }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - "INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True\n", - "INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n", - "INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n", - "INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Predicting: | | 0/? [00:00:109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n" - ] - }, { "output_type": "stream", "name": "stdout", "text": [ "IN-SAMPLE predictions from NF:\n", - " unique_id ds cutoff AutoAutoformer-median \\\n", - "0 AAPL 2015-02-09 2015-02-08 23:00:00 0.725111 \n", - "1 AAPL 2015-02-10 2015-02-08 23:00:00 0.720327 \n", - "2 AAPL 2015-02-11 2015-02-08 23:00:00 0.719755 \n", - "3 AAPL 2015-02-12 2015-02-08 23:00:00 0.723274 \n", - "4 AAPL 2015-02-13 2015-02-08 23:00:00 0.733378 \n", - "5 AAPL 2015-02-17 2015-02-08 23:00:00 0.756905 \n", - "6 AAPL 2015-02-18 2015-02-08 23:00:00 0.804936 \n", - "7 AAPL 2015-02-19 2015-02-08 23:00:00 0.869861 \n", - "8 AAPL 2015-02-20 2015-02-08 23:00:00 0.913256 \n", - "9 AAPL 2015-02-23 2015-02-08 23:00:00 0.928619 \n", + " unique_id ds cutoff AutoNHITS-median AutoNHITS-lo-90 AutoNHITS-lo-80 \\\n", + "0 AMD 2015-02-18 2015-02-17 0.001595 -0.015110 -0.027794 \n", + "1 AMD 2015-02-19 2015-02-17 0.003760 -0.027323 -0.028392 \n", + "2 AMD 2015-02-20 2015-02-17 0.004620 -0.049644 -0.033781 \n", + "3 AMD 2015-02-23 2015-02-17 -0.005302 -0.042194 -0.034433 \n", + "4 AMD 2015-02-24 2015-02-17 -0.011553 -0.031579 -0.027099 \n", + "5 AMD 2015-02-25 2015-02-17 -0.011222 -0.041203 -0.031481 \n", + "6 AMD 2015-02-26 2015-02-17 -0.009347 -0.041097 -0.042789 \n", + "7 AMD 2015-02-27 2015-02-17 -0.014566 -0.027943 -0.042286 \n", + "8 AMD 2015-03-02 2015-02-17 -0.032829 -0.007215 -0.033823 \n", + "9 AMD 2015-03-03 2015-02-17 -0.035822 -0.015774 -0.031911 \n", "\n", - " AutoAutoformer-lo-90 AutoAutoformer-lo-80 AutoAutoformer-hi-80 \\\n", - "0 -0.885759 -0.253195 1.508279 \n", - "1 -0.892432 -0.239096 1.503273 \n", - "2 -0.892864 -0.238462 1.502654 \n", - "3 -0.887178 -0.250950 1.506268 \n", - "4 -0.872837 -0.283191 1.517183 \n", - "5 -0.842904 -0.353397 1.543832 \n", - "6 -0.786134 -0.491141 1.599888 \n", - "7 -0.710289 -0.676355 1.676048 \n", - "8 -0.654386 -0.806701 1.724963 \n", - "9 -0.624994 -0.864649 1.738544 \n", - "\n", - " AutoAutoformer-hi-90 AutoNHITS-median AutoNHITS-lo-90 AutoNHITS-lo-80 \\\n", - "0 1.633457 -0.064737 0.093173 0.175501 \n", - "1 1.619503 0.027870 0.138883 0.010731 \n", - "2 1.618299 -0.041291 0.035657 0.181769 \n", - "3 1.629493 0.049484 0.008867 0.071392 \n", - "4 1.660204 0.032433 -0.070069 0.246849 \n", - "5 1.729959 0.140108 -0.046169 0.224669 \n", - "6 1.870420 0.066188 -0.087239 0.227122 \n", - "7 2.059924 0.072220 -0.113372 0.275646 \n", - "8 2.188745 0.089897 -0.080224 0.341245 \n", - "9 2.238248 0.128217 -0.119345 0.175760 \n", - "\n", - " AutoNHITS-hi-80 AutoNHITS-hi-90 y \n", - "0 -0.032562 0.144844 29.930000 \n", - "1 0.069716 -0.062980 30.504999 \n", - "2 0.072875 0.001224 31.219999 \n", - "3 -0.080116 0.029735 31.615000 \n", - "4 -0.179989 -0.016024 31.770000 \n", - "5 -0.087838 0.063990 31.957500 \n", - "6 0.056117 0.139734 32.180000 \n", - "7 0.163894 0.502640 32.112499 \n", - "8 0.136196 0.369055 32.375000 \n", - "9 0.326082 0.252112 33.250000 \n", + " AutoNHITS-hi-80 AutoNHITS-hi-90 y \n", + "0 0.015490 0.014680 3.08 \n", + "1 0.019753 0.024091 3.06 \n", + "2 0.033060 0.048935 3.06 \n", + "3 0.037047 0.065776 3.06 \n", + "4 0.041498 0.074922 3.11 \n", + "5 0.048913 0.094666 3.10 \n", + "6 0.030416 0.103621 3.08 \n", + "7 0.022850 0.090168 3.11 \n", + "8 0.040531 0.069368 3.21 \n", + "9 0.043024 0.064019 3.14 \n", "\n", "Merged in-sample DataFrame (with naive baseline):\n", - " unique_id ds cutoff AutoAutoformer-median \\\n", - "0 AAPL 2015-02-09 2015-02-08 23:00:00 0.725111 \n", - "1 AAPL 2015-02-10 2015-02-08 23:00:00 0.720327 \n", - "2 AAPL 2015-02-11 2015-02-08 23:00:00 0.719755 \n", - "3 AAPL 2015-02-12 2015-02-08 23:00:00 0.723274 \n", - "4 AAPL 2015-02-13 2015-02-08 23:00:00 0.733378 \n", + " unique_id ds cutoff AutoNHITS-median AutoNHITS-lo-90 AutoNHITS-lo-80 \\\n", + "0 AMD 2015-02-18 2015-02-17 0.001595 -0.015110 -0.027794 \n", + "1 AMD 2015-02-19 2015-02-17 0.003760 -0.027323 -0.028392 \n", + "2 AMD 2015-02-20 2015-02-17 0.004620 -0.049644 -0.033781 \n", + "3 AMD 2015-02-23 2015-02-17 -0.005302 -0.042194 -0.034433 \n", + "4 AMD 2015-02-24 2015-02-17 -0.011553 -0.031579 -0.027099 \n", "\n", - " AutoAutoformer-lo-90 AutoAutoformer-lo-80 AutoAutoformer-hi-80 \\\n", - "0 -0.885759 -0.253195 1.508279 \n", - "1 -0.892432 -0.239096 1.503273 \n", - "2 -0.892864 -0.238462 1.502654 \n", - "3 -0.887178 -0.250950 1.506268 \n", - "4 -0.872837 -0.283191 1.517183 \n", + " AutoNHITS-hi-80 AutoNHITS-hi-90 y Naive \n", + "0 0.015490 0.014680 3.08 NaN \n", + "1 0.019753 0.024091 3.06 NaN \n", + "2 0.033060 0.048935 3.06 NaN \n", + "3 0.037047 0.065776 3.06 NaN \n", + "4 0.041498 0.074922 3.11 NaN \n", "\n", - " AutoAutoformer-hi-90 AutoNHITS-median AutoNHITS-lo-90 AutoNHITS-lo-80 \\\n", - "0 1.633457 -0.064737 0.093173 0.175501 \n", - "1 1.619503 0.027870 0.138883 0.010731 \n", - "2 1.618299 -0.041291 0.035657 0.181769 \n", - "3 1.629493 0.049484 0.008867 0.071392 \n", - "4 1.660204 0.032433 -0.070069 0.246849 \n", - "\n", - " AutoNHITS-hi-80 AutoNHITS-hi-90 y Naive \n", - "0 -0.032562 0.144844 29.930000 NaN \n", - "1 0.069716 -0.062980 30.504999 NaN \n", - "2 0.072875 0.001224 31.219999 NaN \n", - "3 -0.080116 0.029735 31.615000 NaN \n", - "4 -0.179989 -0.016024 31.770000 NaN \n", - "\n", - "Found these forecast columns: ['AutoAutoformer-median', 'AutoAutoformer-lo-90', 'AutoAutoformer-lo-80', 'AutoAutoformer-hi-80', 'AutoAutoformer-hi-90', 'AutoNHITS-median', 'AutoNHITS-lo-90', 'AutoNHITS-lo-80', 'AutoNHITS-hi-80', 'AutoNHITS-hi-90', 'Naive']\n", + "Found these forecast columns: ['AutoNHITS-median', 'AutoNHITS-lo-90', 'AutoNHITS-lo-80', 'AutoNHITS-hi-80', 'AutoNHITS-hi-90', 'Naive']\n", "\n", "--- In-sample Metrics Summary ---\n", "Model | MSE MAE sMAPE(%) Spearman_R\n", - "AutoAutoformer-median| 165.716 7.773 10.915 -0.015\n", - "AutoAutoformer-lo-90| 511.541 15.955 20.241 -0.024\n", - "AutoAutoformer-lo-80| 335.555 12.660 16.521 -0.003\n", - "AutoAutoformer-hi-80| 541.703 14.726 16.391 -0.014\n", - "AutoAutoformer-hi-90| 821.137 18.930 19.591 -0.014\n", - "AutoNHITS-median | 106.365 6.236 9.717 -0.003\n", - "AutoNHITS-lo-90 | 375.037 13.277 16.920 -0.038\n", - "AutoNHITS-lo-80 | 263.976 10.632 14.011 -0.010\n" + "AutoNHITS-median | 630.604 6.989 13.065 0.003\n", + "AutoNHITS-lo-90 | 930.231 14.802 27.836 0.003\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":109: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n" + ":109: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " sub = sub.groupby('unique_id', group_keys=False).apply(add_ret)\n", + ":109: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " sub = sub.groupby('unique_id', group_keys=False).apply(add_ret)\n", + ":109: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " sub = sub.groupby('unique_id', group_keys=False).apply(add_ret)\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ - "AutoNHITS-hi-80 | 224.353 9.791 13.089 -0.043\n", - "AutoNHITS-hi-90 | 295.158 11.637 14.736 -0.018\n", - "Naive | 189.622 9.253 9.014 -0.020\n" + "AutoNHITS-lo-80 | 790.123 11.959 21.460 -0.005\n", + "AutoNHITS-hi-80 | 819.791 11.089 20.104 0.006\n", + "AutoNHITS-hi-90 | 951.054 13.662 23.989 0.010\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":109: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " sub = sub.groupby('unique_id', group_keys=False).apply(add_ret)\n", + ":109: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " sub = sub.groupby('unique_id', group_keys=False).apply(add_ret)\n", + ":109: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " sub = sub.groupby('unique_id', group_keys=False).apply(add_ret)\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Naive | 462.581 8.575 12.826 0.011\n" ] }, { @@ -4024,7 +33266,7 @@ "text/plain": [ "
" ], - "image/png": "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\n" + "image/png": "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\n" }, "metadata": {} } @@ -4205,133 +33447,32 @@ "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 1000 + "height": 332 }, "collapsed": true, "id": "IAsh_xiB4HM1", - "outputId": "1db86229-3da3-4817-c280-d50a571c7cc1" + "outputId": "d6c31175-3a94-4308-fae1-b3d5244bac44" }, - "execution_count": 35, + "execution_count": 36, "outputs": [ { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "--- Overall Metrics Summary ---\n", - "Model | MSE MAE sMAPE(%) Spearman_R\n", - "AutoNHITS | 24.595 3.938 2.741 0.987\n", - "AutoAutoformer| 64.987 6.434 4.477 0.968\n", - "Naive | 67.700 5.813 4.036 0.963\n", - "M6Champion | 4.123 1.608 1.118 0.998\n", - "rollingMSE_AutoNHITS| 16619.440 125.242 143.061 0.044\n", - "rollingMSE_AutoAutoformer| 8646.669 85.736 80.558 0.009\n", - "rollingMSE_Naive| 298261.104 160.543 105.723 -0.106\n", - "rollingMSE_M6Champion| 22102.676 145.733 189.007 0.066\n" + "output_type": "error", + "ename": "UFuncTypeError", + "evalue": "ufunc 'subtract' cannot use operands with types dtype('float32') and dtype('\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 63\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"[WARN] Model '{mcol}' has no valid rows (all NaN?), skipping.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 64\u001b[0m \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 65\u001b[0;31m \u001b[0mmse_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmae_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msmape_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspear_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute_metrics\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msub\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmcol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 66\u001b[0m \u001b[0mmetrics_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmcol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmse_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmae_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msmape_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mspear_\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m\u001b[0m in \u001b[0;36mcompute_metrics\u001b[0;34m(sub_df, model_col)\u001b[0m\n\u001b[1;32m 31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 32\u001b[0m \u001b[0;31m# 1) MSE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 33\u001b[0;31m \u001b[0mmse_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_true\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0my_pred\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m**\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[0;31m# 2) MAE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mUFuncTypeError\u001b[0m: ufunc 'subtract' cannot use operands with types dtype('float32') and dtype(':93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n", - ":93: DeprecationWarning:\n", - "\n", - "DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", - "\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "Winners per metric: {'Best_MSE': 'M6Champion', 'Best_MAE': 'M6Champion', 'Best_sMAPE': 'M6Champion', 'Best_Spearman': 'M6Champion'}\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": "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\n" - }, - "metadata": {} } ] }, { "cell_type": "markdown", "source": [ - "# AutoNHITS, AutoAutoFormer, AutoFEDformer, AutoPatchTST, AutoiTransformer Traing && Prediction" + "# AutoModels Training" ], "metadata": { "id": "bVW7LuMa75Da" @@ -5053,6 +34194,7551 @@ "execution_count": 87 } ] + }, + { + "cell_type": "markdown", + "source": [ + "# Parquet Prep" + ], + "metadata": { + "id": "Q3i6eqEFLCvk" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Import" + ], + "metadata": { + "id": "oeyuAo_aLoav" + } + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "import pandas as pd\n", + "pd.set_option('display.max_columns', None)\n", + "pd.set_option('display.width', None)\n", + "\n", + "# -------------------------------------------\n", + "# OPTION A: MOUNT GOOGLE DRIVE\n", + "# (uncomment if you prefer the Drive approach)\n", + "# -------------------------------------------\n", + "# from google.colab import drive\n", + "# drive.mount('/content/drive')\n", + "# # Then read from a path like '/content/drive/MyDrive/YourFolder/engineered_data.parquet'\n", + "\n", + "# -------------------------------------------\n", + "# OPTION B: COLAB FILE UPLOAD (interactive)\n", + "# -------------------------------------------\n", + "from google.colab import files\n", + "uploaded_files = files.upload()\n", + "# # After uploading, you get a dictionary: { 'filename.parquet': content }\n", + "# # Save it or read directly:\n", + "filename = list(uploaded_files.keys())[0]\n", + "print(\"Uploaded file:\", filename)\n", + "\n", + "# -------------------------------------------\n", + "# ACTUAL READ (adjust path to your scenario):\n", + "# -------------------------------------------\n", + "# For demonstration, we'll assume your file is named 'engineered_data.parquet'\n", + "# in the current working directory. Adjust the path as needed:\n", + "FILE_PATH = 'all_features.parquet'\n", + "if not os.path.exists(FILE_PATH):\n", + " print(f\"[WARNING] {FILE_PATH} not found. Please check your path or upload it.\")\n", + "else:\n", + " print(f\"[INFO] Found {FILE_PATH}, reading parquet...\")\n", + "\n", + "# Read the parquet\n", + "df_eng = pd.read_parquet(FILE_PATH)\n", + "\n", + "# Summaries about the DataFrame\n", + "print(\"=== Parquet File Loaded! ===\")\n", + "print(f\"- Shape: {df_eng.shape}\")\n", + "print(f\"- Columns: {list(df_eng.columns)}\\n\")\n", + "\n", + "print(\"=== df.info() ===\")\n", + "df_eng.info()\n", + "\n", + "print(\"\\n=== Sample Rows (head) ===\")\n", + "display(df_eng.head(5))\n", + "\n", + "print(\"\\n=== Summary Statistics (describe) ===\")\n", + "# If you have many non-numeric columns, consider include='all':\n", + "display(df_eng.describe(include='all'))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "collapsed": true, + "id": "kC_-L800LL31", + "outputId": "fb186e71-ca54-4140-90b0-61b4c8621d07" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "\n", + " \n", + " \n", + " Upload widget is only available when the cell has been executed in the\n", + " current browser session. Please rerun this cell to enable.\n", + " \n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Saving all_features.parquet to all_features (1).parquet\n", + "Uploaded file: all_features (1).parquet\n", + "[INFO] Found all_features.parquet, reading parquet...\n", + "=== Parquet File Loaded! ===\n", + "- Shape: (3024, 35)\n", + "- Columns: ['Date', 'Close', 'High', 'Low', 'Open', 'Volume', 'Ticker', 'daily_return', 'range_pct', 'volume_spike', 'rollmean_ret_7', 'rollstd_ret_7', 'rollmean_ret_14', 'rollstd_ret_14', 'rollmean_ret_21', 'rollstd_ret_21', 'rsi_14', 'macd_line', 'macd_signal', 'wave_a2', 'wave_d22', 'wave_d11', 'changepoint_flag', 'days_since_changepoint', 'corr_with_SPY_14', 'pca_1', 'pca_2', 'pca_3', 'pca_4', 'pca_5', 'pca_6', 'pca_7', 'pca_8', 'pca_9', 'pca_10']\n", + "\n", + "=== df.info() ===\n", + "\n", + "RangeIndex: 3024 entries, 0 to 3023\n", + "Data columns (total 35 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Date 3024 non-null object \n", + " 1 Close 3024 non-null float64\n", + " 2 High 3024 non-null float64\n", + " 3 Low 3024 non-null float64\n", + " 4 Open 3024 non-null float64\n", + " 5 Volume 3024 non-null int64 \n", + " 6 Ticker 3024 non-null object \n", + " 7 daily_return 3020 non-null float64\n", + " 8 range_pct 3024 non-null float64\n", + " 9 volume_spike 2972 non-null float64\n", + " 10 rollmean_ret_7 2996 non-null float64\n", + " 11 rollstd_ret_7 2996 non-null float64\n", + " 12 rollmean_ret_14 2968 non-null float64\n", + " 13 rollstd_ret_14 2968 non-null float64\n", + " 14 rollmean_ret_21 2940 non-null float64\n", + " 15 rollstd_ret_21 2940 non-null float64\n", + " 16 rsi_14 3020 non-null float64\n", + " 17 macd_line 3024 non-null float64\n", + " 18 macd_signal 3024 non-null float64\n", + " 19 wave_a2 776 non-null float64\n", + " 20 wave_d22 776 non-null float64\n", + " 21 wave_d11 1524 non-null float64\n", + " 22 changepoint_flag 3024 non-null int64 \n", + " 23 days_since_changepoint 3024 non-null int64 \n", + " 24 corr_with_SPY_14 2968 non-null float64\n", + " 25 pca_1 3024 non-null float64\n", + " 26 pca_2 3024 non-null float64\n", + " 27 pca_3 3024 non-null float64\n", + " 28 pca_4 3024 non-null float64\n", + " 29 pca_5 3024 non-null float64\n", + " 30 pca_6 3024 non-null float64\n", + " 31 pca_7 3024 non-null float64\n", + " 32 pca_8 3024 non-null float64\n", + " 33 pca_9 3024 non-null float64\n", + " 34 pca_10 3024 non-null float64\n", + "dtypes: float64(30), int64(3), object(2)\n", + "memory usage: 827.0+ KB\n", + "\n", + "=== Sample Rows (head) ===\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Date Close High Low Open Volume Ticker daily_return \\\n", + "0 2020-01-02 72.796005 72.856598 71.545372 71.799858 135480400 AAPL NaN \n", + "1 2020-01-03 72.088295 72.851761 71.862892 72.020432 146322800 AAPL -0.009769 \n", + "2 2020-01-06 72.662697 72.701477 70.953987 71.206055 118387200 AAPL 0.007936 \n", + "3 2020-01-07 72.320984 72.929329 72.100426 72.672417 108872000 AAPL -0.004714 \n", + "4 2020-01-08 73.484344 73.787308 72.022850 72.022850 132079200 AAPL 0.015958 \n", + "\n", + " range_pct volume_spike rollmean_ret_7 rollstd_ret_7 rollmean_ret_14 rollstd_ret_14 \\\n", + "0 0.018012 NaN NaN NaN NaN NaN \n", + "1 0.013717 NaN NaN NaN NaN NaN \n", + "2 0.024049 NaN NaN NaN NaN NaN \n", + "3 0.011461 NaN NaN NaN NaN NaN \n", + "4 0.024011 NaN NaN NaN NaN NaN \n", + "\n", + " rollmean_ret_21 rollstd_ret_21 rsi_14 macd_line macd_signal wave_a2 wave_d22 \\\n", + "0 NaN NaN NaN 0.000000 0.000000 0.016924 -0.002639 \n", + "1 NaN NaN 0.000000 -0.056456 -0.011291 -0.007978 -0.006406 \n", + "2 NaN NaN 5.876453 -0.054222 -0.019877 0.035255 0.011887 \n", + "3 NaN NaN 5.663242 -0.079114 -0.031725 0.001415 -0.026251 \n", + "4 NaN NaN 16.739025 -0.004911 -0.026362 0.009307 -0.003886 \n", + "\n", + " wave_d11 changepoint_flag days_since_changepoint corr_with_SPY_14 pca_1 pca_2 \\\n", + "0 -0.003975 0 0 NaN -48.171083 22.515543 \n", + "1 -0.013376 0 1 NaN -48.193905 22.474401 \n", + "2 0.005989 0 2 NaN -42.941880 19.865257 \n", + "3 0.018912 0 3 NaN -43.144498 19.937019 \n", + "4 0.002643 0 4 NaN -33.215201 15.075458 \n", + "\n", + " pca_3 pca_4 pca_5 pca_6 pca_7 pca_8 pca_9 pca_10 \n", + "0 3.510418 -1.067293 -0.563925 -0.059356 0.001160 0.015263 0.008877 0.013363 \n", + "1 3.477277 -1.068749 -0.564001 -0.060474 -0.007777 -0.006951 -0.003283 0.014268 \n", + "2 3.101304 -1.076064 -0.558101 -0.057768 0.009834 0.027444 0.028358 0.010467 \n", + "3 3.105323 -1.076242 -0.558349 -0.057982 0.024812 0.007953 -0.018045 0.012183 \n", + "4 2.432631 -1.088092 -0.546862 -0.057783 0.006719 0.007647 0.003640 0.007708 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseHighLowOpenVolumeTickerdaily_returnrange_pctvolume_spikerollmean_ret_7rollstd_ret_7rollmean_ret_14rollstd_ret_14rollmean_ret_21rollstd_ret_21rsi_14macd_linemacd_signalwave_a2wave_d22wave_d11changepoint_flagdays_since_changepointcorr_with_SPY_14pca_1pca_2pca_3pca_4pca_5pca_6pca_7pca_8pca_9pca_10
02020-01-0272.79600572.85659871.54537271.799858135480400AAPLNaN0.018012NaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.016924-0.002639-0.00397500NaN-48.17108322.5155433.510418-1.067293-0.563925-0.0593560.0011600.0152630.0088770.013363
12020-01-0372.08829572.85176171.86289272.020432146322800AAPL-0.0097690.013717NaNNaNNaNNaNNaNNaNNaN0.000000-0.056456-0.011291-0.007978-0.006406-0.01337601NaN-48.19390522.4744013.477277-1.068749-0.564001-0.060474-0.007777-0.006951-0.0032830.014268
22020-01-0672.66269772.70147770.95398771.206055118387200AAPL0.0079360.024049NaNNaNNaNNaNNaNNaNNaN5.876453-0.054222-0.0198770.0352550.0118870.00598902NaN-42.94188019.8652573.101304-1.076064-0.558101-0.0577680.0098340.0274440.0283580.010467
32020-01-0772.32098472.92932972.10042672.672417108872000AAPL-0.0047140.011461NaNNaNNaNNaNNaNNaNNaN5.663242-0.079114-0.0317250.001415-0.0262510.01891203NaN-43.14449819.9370193.105323-1.076242-0.558349-0.0579820.0248120.007953-0.0180450.012183
42020-01-0873.48434473.78730872.02285072.022850132079200AAPL0.0159580.024011NaNNaNNaNNaNNaNNaNNaN16.739025-0.004911-0.0263620.009307-0.0038860.00264304NaN-33.21520115.0754582.432631-1.088092-0.546862-0.0577830.0067190.0076470.0036400.007708
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "=== Summary Statistics (describe) ===\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Date Close High Low Open Volume Ticker \\\n", + "count 3024 3024.000000 3024.000000 3024.000000 3024.000000 3.024000e+03 3024 \n", + "unique 756 NaN NaN NaN NaN NaN 4 \n", + "top 2022-12-30 NaN NaN NaN NaN NaN AAPL \n", + "freq 4 NaN NaN NaN NaN NaN 756 \n", + "mean NaN 234.960790 237.910477 231.833226 234.976591 9.130971e+07 NaN \n", + "std NaN 105.954290 106.557507 105.310929 106.011052 7.296004e+07 NaN \n", + "min NaN 24.081333 26.990667 23.367332 24.980000 9.200800e+06 NaN \n", + "25% NaN 146.353035 148.163194 144.250130 146.185390 4.642245e+07 NaN \n", + "50% NaN 232.567833 236.529067 228.283333 232.729557 7.570875e+07 NaN \n", + "75% NaN 308.790840 312.758406 305.101015 308.232423 1.088304e+08 NaN \n", + "max NaN 457.181580 459.354041 455.602496 458.626691 9.140820e+08 NaN \n", + "\n", + " daily_return range_pct volume_spike rollmean_ret_7 rollstd_ret_7 rollmean_ret_14 \\\n", + "count 3020.000000 3024.000000 2972.000000 2996.000000 2996.000000 2968.000000 \n", + "unique NaN NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN NaN \n", + "mean 0.000883 0.029248 1.005851 0.000861 0.023166 0.000890 \n", + "std 0.028893 0.022954 0.316108 0.010651 0.017473 0.007740 \n", + "min -0.236518 0.001951 0.336722 -0.074384 0.001241 -0.045081 \n", + "25% -0.010328 0.014145 0.794660 -0.004117 0.011716 -0.002706 \n", + "50% 0.001068 0.022613 0.940399 0.001061 0.017950 0.001068 \n", + "75% 0.013137 0.036959 1.143248 0.005610 0.029356 0.004057 \n", + "max 0.181445 0.218735 3.522375 0.064487 0.144067 0.042494 \n", + "\n", + " rollstd_ret_14 rollmean_ret_21 rollstd_ret_21 rsi_14 macd_line macd_signal \\\n", + "count 2968.000000 2940.000000 2940.000000 3020.000000 3024.000000 3024.000000 \n", + "unique NaN NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN NaN \n", + "mean 0.023773 0.000919 0.024096 53.344704 0.854765 0.884285 \n", + "std 0.016409 0.006385 0.015968 12.955529 6.190530 5.768864 \n", + "min 0.003132 -0.041218 0.004142 0.000000 -25.271333 -22.213158 \n", + "25% 0.012794 -0.002163 0.013460 44.421904 -1.848424 -1.548590 \n", + "50% 0.019038 0.001061 0.019125 53.300774 1.520359 1.528838 \n", + "75% 0.030290 0.003576 0.030202 62.444256 3.977385 3.730316 \n", + "max 0.112792 0.035036 0.099168 100.000000 38.067930 31.285426 \n", + "\n", + " wave_a2 wave_d22 wave_d11 changepoint_flag days_since_changepoint \\\n", + "count 776.000000 776.000000 1524.000000 3024.0 3024.000000 \n", + "unique NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN \n", + "mean 0.002302 0.001514 0.001155 0.0 377.500000 \n", + "std 0.028544 0.026124 0.030383 0.0 218.274304 \n", + "min -0.210347 -0.120772 -0.220487 0.0 0.000000 \n", + "25% -0.010864 -0.010691 -0.012138 0.0 188.750000 \n", + "50% 0.002912 -0.000383 0.000330 0.0 377.500000 \n", + "75% 0.014615 0.012416 0.013317 0.0 566.250000 \n", + "max 0.148515 0.116808 0.207337 0.0 755.000000 \n", + "\n", + " corr_with_SPY_14 pca_1 pca_2 pca_3 pca_4 pca_5 \\\n", + "count 2968.000000 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 \n", + "unique NaN NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN NaN \n", + "mean 0.763245 -6.616694e-15 4.652363e-15 2.443665e-16 1.207147e-16 1.198336e-16 \n", + "std 0.260383 1.433625e+01 6.013807e+00 1.140080e+00 3.391828e-01 2.651134e-01 \n", + "min -0.545653 -4.824463e+01 -2.529133e+01 -4.641212e+00 -1.193603e+00 -1.204411e+00 \n", + "25% 0.656788 -1.011552e+01 -3.093560e+00 -5.727765e-01 -1.872533e-01 -1.182569e-01 \n", + "50% 0.835922 4.658288e-01 -1.794104e-01 -6.104054e-02 -3.965275e-02 6.118213e-02 \n", + "75% 0.989129 1.020765e+01 2.693806e+00 5.012733e-01 1.532970e-01 1.859744e-01 \n", + "max 1.000000 5.251819e+01 3.905369e+01 6.314615e+00 2.364020e+00 4.289378e-01 \n", + "\n", + " pca_6 pca_7 pca_8 pca_9 pca_10 \n", + "count 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 \n", + "unique NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN \n", + "mean 1.762259e-18 -3.854941e-19 2.248716e-19 8.260588e-20 9.453784e-19 \n", + "std 2.658778e-02 2.154209e-02 1.459117e-02 1.304733e-02 7.371065e-03 \n", + "min -6.064130e-02 -2.287185e-01 -2.235071e-01 -1.377386e-01 -7.478576e-02 \n", + "25% -1.601453e-02 -2.737111e-03 -1.115777e-03 -1.378910e-03 -2.958028e-03 \n", + "50% -6.857444e-03 -9.163366e-05 -3.873140e-04 -3.981548e-04 -2.015027e-04 \n", + "75% 8.515275e-03 2.300062e-03 6.337193e-04 4.385300e-04 2.871875e-03 \n", + "max 1.584878e-01 2.043644e-01 1.347591e-01 1.332127e-01 6.399966e-02 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateCloseHighLowOpenVolumeTickerdaily_returnrange_pctvolume_spikerollmean_ret_7rollstd_ret_7rollmean_ret_14rollstd_ret_14rollmean_ret_21rollstd_ret_21rsi_14macd_linemacd_signalwave_a2wave_d22wave_d11changepoint_flagdays_since_changepointcorr_with_SPY_14pca_1pca_2pca_3pca_4pca_5pca_6pca_7pca_8pca_9pca_10
count30243024.0000003024.0000003024.0000003024.0000003.024000e+0330243020.0000003024.0000002972.0000002996.0000002996.0000002968.0000002968.0000002940.0000002940.0000003020.0000003024.0000003024.000000776.000000776.0000001524.0000003024.03024.0000002968.0000003.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+03
unique756NaNNaNNaNNaNNaN4NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
top2022-12-30NaNNaNNaNNaNNaNAAPLNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
freq4NaNNaNNaNNaNNaN756NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
meanNaN234.960790237.910477231.833226234.9765919.130971e+07NaN0.0008830.0292481.0058510.0008610.0231660.0008900.0237730.0009190.02409653.3447040.8547650.8842850.0023020.0015140.0011550.0377.5000000.763245-6.616694e-154.652363e-152.443665e-161.207147e-161.198336e-161.762259e-18-3.854941e-192.248716e-198.260588e-209.453784e-19
stdNaN105.954290106.557507105.310929106.0110527.296004e+07NaN0.0288930.0229540.3161080.0106510.0174730.0077400.0164090.0063850.01596812.9555296.1905305.7688640.0285440.0261240.0303830.0218.2743040.2603831.433625e+016.013807e+001.140080e+003.391828e-012.651134e-012.658778e-022.154209e-021.459117e-021.304733e-027.371065e-03
minNaN24.08133326.99066723.36733224.9800009.200800e+06NaN-0.2365180.0019510.336722-0.0743840.001241-0.0450810.003132-0.0412180.0041420.000000-25.271333-22.213158-0.210347-0.120772-0.2204870.00.000000-0.545653-4.824463e+01-2.529133e+01-4.641212e+00-1.193603e+00-1.204411e+00-6.064130e-02-2.287185e-01-2.235071e-01-1.377386e-01-7.478576e-02
25%NaN146.353035148.163194144.250130146.1853904.642245e+07NaN-0.0103280.0141450.794660-0.0041170.011716-0.0027060.012794-0.0021630.01346044.421904-1.848424-1.548590-0.010864-0.010691-0.0121380.0188.7500000.656788-1.011552e+01-3.093560e+00-5.727765e-01-1.872533e-01-1.182569e-01-1.601453e-02-2.737111e-03-1.115777e-03-1.378910e-03-2.958028e-03
50%NaN232.567833236.529067228.283333232.7295577.570875e+07NaN0.0010680.0226130.9403990.0010610.0179500.0010680.0190380.0010610.01912553.3007741.5203591.5288380.002912-0.0003830.0003300.0377.5000000.8359224.658288e-01-1.794104e-01-6.104054e-02-3.965275e-026.118213e-02-6.857444e-03-9.163366e-05-3.873140e-04-3.981548e-04-2.015027e-04
75%NaN308.790840312.758406305.101015308.2324231.088304e+08NaN0.0131370.0369591.1432480.0056100.0293560.0040570.0302900.0035760.03020262.4442563.9773853.7303160.0146150.0124160.0133170.0566.2500000.9891291.020765e+012.693806e+005.012733e-011.532970e-011.859744e-018.515275e-032.300062e-036.337193e-044.385300e-042.871875e-03
maxNaN457.181580459.354041455.602496458.6266919.140820e+08NaN0.1814450.2187353.5223750.0644870.1440670.0424940.1127920.0350360.099168100.00000038.06793031.2854260.1485150.1168080.2073370.0755.0000001.0000005.251819e+013.905369e+016.314615e+002.364020e+004.289378e-011.584878e-012.043644e-011.347591e-011.332127e-016.399966e-02
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Parquet Cleaning - major reduction" + ], + "metadata": { + "id": "DmlGcOThTnrA" + } + }, + { + "cell_type": "code", + "source": [ + "# ===== CELL: Filter/clean all_features.parquet, rename columns, remove wavelets, fill NaNs, and save to filtered_features.parquet =====\n", + "\n", + "import os\n", + "import pandas as pd\n", + "pd.set_option('display.max_columns', None)\n", + "pd.set_option('display.width', None)\n", + "\n", + "\n", + "def process_parquet_for_m6(input_file='all_features.parquet',\n", + " output_file='filtered_features.parquet'):\n", + " \"\"\"\n", + " 1) Reads the specified parquet file.\n", + " 2) Renames columns for Nixtla forecasting ('Date'->'ds', 'Ticker'->'unique_id', 'Close'->'y').\n", + " 3) Drops sparse wavelet columns (wave_a2, wave_d22, wave_d11).\n", + " 4) Selects a short list of features expected to be competitive for M6-level forecasting.\n", + " 5) Fills remaining NaNs via forward-then-backward fill.\n", + " 6) Saves the cleaned DataFrame to another parquet file.\n", + " 7) (Optional) Download snippet if running in Colab.\n", + " \"\"\"\n", + "\n", + " if not os.path.exists(input_file):\n", + " print(f\"[ERROR] The file '{input_file}' does not exist in the current directory.\")\n", + " return\n", + "\n", + " print(f\"[INFO] Reading '{input_file}'...\")\n", + " df = pd.read_parquet(input_file)\n", + " print(f\"[INFO] Shape before processing: {df.shape}\")\n", + "\n", + " # Rename columns to Nixtla standard, if they exist\n", + " rename_dict = {\n", + " 'Date': 'ds',\n", + " 'Ticker': 'unique_id',\n", + " 'Close': 'y'\n", + " }\n", + " # Only rename if the columns exist\n", + " rename_dict = {old:new for old,new in rename_dict.items() if old in df.columns}\n", + " df.rename(columns=rename_dict, inplace=True)\n", + "\n", + " # Drop wavelet columns if they exist\n", + " wave_cols = ['wave_a2', 'wave_d22', 'wave_d11']\n", + " wave_cols_to_drop = [c for c in wave_cols if c in df.columns]\n", + " if wave_cols_to_drop:\n", + " df.drop(columns=wave_cols_to_drop, inplace=True, errors='ignore')\n", + " print(f\"[INFO] Dropped wavelet columns: {wave_cols_to_drop}\")\n", + "\n", + " # Short list of columns to keep for M6-level forecasting\n", + " # (Including ds, unique_id, y, plus some exogenous features)\n", + " # Feel free to adjust if you want more/less\n", + " columns_to_keep = [\n", + " 'ds', 'unique_id', 'y',\n", + " 'High', 'Low', 'Open', 'Volume',\n", + " 'daily_return', 'range_pct', 'volume_spike',\n", + " 'rollmean_ret_7', 'rollstd_ret_7',\n", + " 'rollmean_ret_14', 'rollstd_ret_14',\n", + " 'rollmean_ret_21', 'rollstd_ret_21',\n", + " 'rsi_14', 'macd_line', 'macd_signal',\n", + " 'changepoint_flag', 'days_since_changepoint',\n", + " 'corr_with_SPY_14'\n", + " ]\n", + " # Add pca_1..pca_10 if they exist in the DataFrame\n", + " for i in range(1,11):\n", + " pca_col = f'pca_{i}'\n", + " if pca_col in df.columns:\n", + " columns_to_keep.append(pca_col)\n", + "\n", + " # Intersect with what's actually present\n", + " columns_to_keep = [col for col in columns_to_keep if col in df.columns]\n", + "\n", + " # Filter DataFrame to keep only these columns\n", + " df = df[columns_to_keep]\n", + " print(f\"[INFO] Columns after restricting to short list: {df.columns.tolist()}\")\n", + "\n", + " # Fill NaNs: forward fill then backward fill\n", + " df.ffill(inplace=True)\n", + " df.bfill(inplace=True)\n", + "\n", + " # Show final shape and any leftover NaNs\n", + " n_nans = df.isna().sum().sum()\n", + " print(f\"[INFO] Shape after processing: {df.shape}. NaN count after fill: {n_nans}\")\n", + "\n", + " # Save to new parquet\n", + " df.to_parquet(output_file, index=False)\n", + " print(f\"[INFO] Saved filtered DataFrame to '{output_file}'.\")\n", + "\n", + " # OPTIONAL: If running in Colab and want to download\n", + " from google.colab import files\n", + " files.download(output_file)\n", + "\n", + "# ----- Usage Example (as a standalone cell) -----\n", + "if __name__ == \"__main__\":\n", + " # You can call this in a Colab cell or script\n", + " process_parquet_for_m6(\n", + " input_file='all_features.parquet',\n", + " output_file='filtered_features.parquet'\n", + " )" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 141 + }, + "collapsed": true, + "id": "SPeAkUnFTrzX", + "outputId": "59462324-2a02-40f5-850c-8265a6ca27e5" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] Reading 'all_features.parquet'...\n", + "[INFO] Shape before processing: (3024, 35)\n", + "[INFO] Dropped wavelet columns: ['wave_a2', 'wave_d22', 'wave_d11']\n", + "[INFO] Columns after restricting to short list: ['ds', 'unique_id', 'y', 'High', 'Low', 'Open', 'Volume', 'daily_return', 'range_pct', 'volume_spike', 'rollmean_ret_7', 'rollstd_ret_7', 'rollmean_ret_14', 'rollstd_ret_14', 'rollmean_ret_21', 'rollstd_ret_21', 'rsi_14', 'macd_line', 'macd_signal', 'changepoint_flag', 'days_since_changepoint', 'corr_with_SPY_14', 'pca_1', 'pca_2', 'pca_3', 'pca_4', 'pca_5', 'pca_6', 'pca_7', 'pca_8', 'pca_9', 'pca_10']\n", + "[INFO] Shape after processing: (3024, 32). NaN count after fill: 0\n", + "[INFO] Saved filtered DataFrame to 'filtered_features.parquet'.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "application/javascript": [ + "\n", + " async function download(id, filename, size) {\n", + " if (!google.colab.kernel.accessAllowed) {\n", + " return;\n", + " }\n", + " const div = document.createElement('div');\n", + " const label = document.createElement('label');\n", + " label.textContent = `Downloading \"${filename}\": `;\n", + " div.appendChild(label);\n", + " const progress = document.createElement('progress');\n", + " progress.max = size;\n", + " div.appendChild(progress);\n", + " document.body.appendChild(div);\n", + "\n", + " const buffers = [];\n", + " let downloaded = 0;\n", + "\n", + " const channel = await google.colab.kernel.comms.open(id);\n", + " // Send a message to notify the kernel that we're ready.\n", + " channel.send({})\n", + "\n", + " for await (const message of channel.messages) {\n", + " // Send a message to notify the kernel that we're ready.\n", + " channel.send({})\n", + " if (message.buffers) {\n", + " for (const buffer of message.buffers) {\n", + " buffers.push(buffer);\n", + " downloaded += buffer.byteLength;\n", + " progress.value = downloaded;\n", + " }\n", + " }\n", + " }\n", + " const blob = new Blob(buffers, {type: 'application/binary'});\n", + " const a = document.createElement('a');\n", + " a.href = window.URL.createObjectURL(blob);\n", + " a.download = filename;\n", + " div.appendChild(a);\n", + " a.click();\n", + " div.remove();\n", + " }\n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "application/javascript": [ + "download(\"download_d93a4c13-5f3f-43cd-8b05-dd07d39e763d\", \"filtered_features.parquet\", 812007)" + ] + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Parquet cleaning - gentle reduction" + ], + "metadata": { + "id": "ObnwNqoqmL7t" + } + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "import pandas as pd\n", + "\n", + "def domain_fill_inplace(df: pd.DataFrame, col: str) -> pd.DataFrame:\n", + " \"\"\"\n", + " Per-column domain-based logic to fill NaNs within a group.\n", + " You can customize the approach for each column below.\n", + "\n", + " Returns the df with the indicated column's NaNs replaced.\n", + " \"\"\"\n", + " # We'll do a simple if-elif for each recognized column name\n", + " # and fallback for the rest.\n", + "\n", + " # For demonstration, we'll illustrate a few patterns:\n", + " # - price-like columns -> forward fill, then backward fill\n", + " # - volume -> forward fill, then median\n", + " # - daily_return -> fill with 0\n", + " # - rolling stats -> fill with the global or group median\n", + " # - any unknown numeric col -> forward fill, then backward fill\n", + " # - etc.\n", + "\n", + " # Extract the series\n", + " s = df[col]\n", + "\n", + " # Decide fill approach\n", + " if col in ['y', 'Open', 'High', 'Low']:\n", + " # Typical price columns\n", + " s = s.ffill().bfill()\n", + "\n", + " elif col == 'Volume':\n", + " # Possibly we forward fill, but if still NaNs remain, fill with group median\n", + " s = s.ffill().bfill()\n", + " if s.isna().any():\n", + " s = s.fillna(s.median())\n", + "\n", + " elif col == 'daily_return':\n", + " # If missing, assume 0.0\n", + " s = s.fillna(0.0)\n", + "\n", + " elif col.startswith('roll') or col.startswith('rsi') or col in ['macd_line','macd_signal','corr_with_SPY_14']:\n", + " # Some rolling stats or technical indicators\n", + " # We'll do forward fill, fallback to group *mean*.\n", + " s = s.ffill().bfill()\n", + " if s.isna().any():\n", + " s = s.fillna(s.mean())\n", + "\n", + " elif col.startswith('pca_'):\n", + " # PCA components => fill with group mean\n", + " s = s.fillna(s.mean())\n", + "\n", + " elif col == 'changepoint_flag':\n", + " # This might be an integer 0/1. If NaN, interpret as \"no change\"\n", + " s = s.fillna(0)\n", + "\n", + " elif col == 'days_since_changepoint':\n", + " # If missing, guess the group median\n", + " s = s.fillna(s.median())\n", + "\n", + " else:\n", + " # Fallback approach for unknown numeric columns\n", + " # 1) If column is numeric => forward fill, then bfill\n", + " # 2) If that fails => fill with group mean\n", + " # 3) If column is non-numeric => keep as is, or string fill\n", + " if pd.api.types.is_numeric_dtype(s):\n", + " s = s.ffill().bfill()\n", + " if s.isna().any():\n", + " s = s.fillna(s.mean())\n", + " else:\n", + " # For strings or object, fill with a placeholder\n", + " s = s.fillna(\"Unknown\")\n", + "\n", + " df[col] = s\n", + " return df\n", + "\n", + "def fill_all_nans_domain_aware(\n", + " input_file: str = \"all_features.parquet\",\n", + " output_file: str = \"filtered_features.parquet\",\n", + " rename_for_nixtla: bool = True\n", + "):\n", + " \"\"\"\n", + " 1. Reads the Parquet file.\n", + " 2. Optionally renames 'Date'->'ds', 'Ticker'->'unique_id', 'Close'->'y'.\n", + " 3. Groups by 'unique_id' so each ticker's data is filled in isolation.\n", + " 4. Replaces ALL NaNs in each column via domain-based logic.\n", + " 5. Saves to `output_file`.\n", + " \"\"\"\n", + "\n", + " if not os.path.exists(input_file):\n", + " raise FileNotFoundError(f\"File '{input_file}' not found!\")\n", + "\n", + " print(f\"[INFO] Reading '{input_file}' ...\")\n", + " df = pd.read_parquet(input_file)\n", + " print(f\"[INFO] Starting shape: {df.shape}\")\n", + "\n", + " # (A) Rename columns if requested\n", + " if rename_for_nixtla:\n", + " rename_dict = {}\n", + " if 'Date' in df.columns:\n", + " rename_dict['Date'] = 'ds'\n", + " if 'Ticker' in df.columns:\n", + " rename_dict['Ticker'] = 'unique_id'\n", + " if 'Close' in df.columns:\n", + " rename_dict['Close'] = 'y'\n", + " df.rename(columns=rename_dict, inplace=True)\n", + "\n", + " # (B) Confirm 'unique_id' in df\n", + " if 'unique_id' not in df.columns:\n", + " raise ValueError(\"Data must have a 'unique_id' column (ticker).\")\n", + "\n", + " # (C) Group by 'unique_id' to fill data for each ticker separately\n", + " # This ensures forward/backward fill doesn't spill over from a different ticker\n", + " def _fill_group(group_df: pd.DataFrame) -> pd.DataFrame:\n", + " # Ideally, we want to ensure it's time-sorted by ds first\n", + " if 'ds' in group_df.columns:\n", + " group_df = group_df.sort_values('ds')\n", + " # Apply domain_fill_inplace for every column in group_df\n", + " for c in group_df.columns:\n", + " if c in ['unique_id','ds']:\n", + " continue # skip ID/time columns\n", + " group_df = domain_fill_inplace(group_df, c)\n", + " return group_df\n", + "\n", + " df_filled = df.groupby('unique_id', group_keys=False).apply(_fill_group)\n", + " df_filled.reset_index(drop=True, inplace=True)\n", + "\n", + " # (D) Check for leftover NaNs\n", + " leftover_nans = df_filled.isna().sum().sum()\n", + " print(f\"[INFO] After domain-based fill, leftover NaNs = {leftover_nans} (should be 0).\")\n", + "\n", + " # (E) Save\n", + " df_filled.to_parquet(output_file, index=False)\n", + " print(f\"[INFO] Saved domain-filled data to '{output_file}'. Final shape: {df_filled.shape}\")\n", + "\n", + " # OPTIONAL: If in Colab, let user download\n", + " try:\n", + " from google.colab import files\n", + " files.download(output_file)\n", + " print(\"[INFO] Downloaded file to local machine (Colab).\")\n", + " except ImportError:\n", + " pass\n", + "\n", + "# ---------------------------------------------------------------------------\n", + "# Example usage (within the same notebook/script):\n", + "if __name__ == \"__main__\":\n", + " fill_all_nans_domain_aware(\n", + " input_file=\"all_features.parquet\",\n", + " output_file=\"filtered_features.parquet\",\n", + " rename_for_nixtla=True\n", + " )" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 158 + }, + "collapsed": true, + "id": "gPTHOmj5ku3E", + "outputId": "132881ab-4926-4078-9921-97e4f0deb9d2" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] Reading 'all_features.parquet' ...\n", + "[INFO] Starting shape: (3024, 35)\n", + "[INFO] After domain-based fill, leftover NaNs = 0 (should be 0).\n", + "[INFO] Saved domain-filled data to 'filtered_features.parquet'. Final shape: (3024, 35)\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":123: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " df_filled = df.groupby('unique_id', group_keys=False).apply(_fill_group)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "application/javascript": [ + "\n", + " async function download(id, filename, size) {\n", + " if (!google.colab.kernel.accessAllowed) {\n", + " return;\n", + " }\n", + " const div = document.createElement('div');\n", + " const label = document.createElement('label');\n", + " label.textContent = `Downloading \"${filename}\": `;\n", + " div.appendChild(label);\n", + " const progress = document.createElement('progress');\n", + " progress.max = size;\n", + " div.appendChild(progress);\n", + " document.body.appendChild(div);\n", + "\n", + " const buffers = [];\n", + " let downloaded = 0;\n", + "\n", + " const channel = await google.colab.kernel.comms.open(id);\n", + " // Send a message to notify the kernel that we're ready.\n", + " channel.send({})\n", + "\n", + " for await (const message of channel.messages) {\n", + " // Send a message to notify the kernel that we're ready.\n", + " channel.send({})\n", + " if (message.buffers) {\n", + " for (const buffer of message.buffers) {\n", + " buffers.push(buffer);\n", + " downloaded += buffer.byteLength;\n", + " progress.value = downloaded;\n", + " }\n", + " }\n", + " }\n", + " const blob = new Blob(buffers, {type: 'application/binary'});\n", + " const a = document.createElement('a');\n", + " a.href = window.URL.createObjectURL(blob);\n", + " a.download = filename;\n", + " div.appendChild(a);\n", + " a.click();\n", + " div.remove();\n", + " }\n", + " " + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "application/javascript": [ + "download(\"download_fd0a37fc-c401-426e-9edd-a05e56503ab8\", \"filtered_features.parquet\", 842779)" + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] Downloaded file to local machine (Colab).\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ===== CELL: Inspect the newly filtered_features.parquet in a similar style =====\n", + "\n", + "import os\n", + "import pandas as pd\n", + "pd.set_option('display.max_columns', None)\n", + "pd.set_option('display.width', None)\n", + "\n", + "\n", + "def inspect_filtered_parquet(filtered_file='filtered_features.parquet'):\n", + " \"\"\"\n", + " 1) Confirms the file exists.\n", + " 2) Loads it.\n", + " 3) Shows shape, columns, info, and some samples.\n", + " 4) Summarizes with describe().\n", + " \"\"\"\n", + " if not os.path.exists(filtered_file):\n", + " print(f\"[ERROR] The file '{filtered_file}' does not exist in the current directory.\")\n", + " return\n", + "\n", + " print(f\"[INFO] Found '{filtered_file}', reading parquet...\")\n", + " df = pd.read_parquet(filtered_file)\n", + "\n", + " print(\"\\n=== Parquet File Loaded! ===\")\n", + " print(f\"- Shape: {df.shape}\")\n", + " print(f\"- Columns: {df.columns.tolist()}\")\n", + "\n", + " print(\"\\n=== df.info() ===\")\n", + " print(df.info())\n", + "\n", + " print(\"\\n=== Sample Rows (head) ===\")\n", + " display(df.head())\n", + "\n", + " print(\"\\n=== Summary Statistics (describe) ===\")\n", + " display(df.describe(include='all'))\n", + "\n", + "if __name__ == \"__main__\":\n", + " inspect_filtered_parquet('filtered_features.parquet')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "collapsed": true, + "id": "C3_BcAjWVxGL", + "outputId": "13f98a4a-6d5b-4f8f-d323-5c1e5d96e6d9" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] Found 'filtered_features.parquet', reading parquet...\n", + "\n", + "=== Parquet File Loaded! ===\n", + "- Shape: (3024, 35)\n", + "- Columns: ['ds', 'y', 'High', 'Low', 'Open', 'Volume', 'unique_id', 'daily_return', 'range_pct', 'volume_spike', 'rollmean_ret_7', 'rollstd_ret_7', 'rollmean_ret_14', 'rollstd_ret_14', 'rollmean_ret_21', 'rollstd_ret_21', 'rsi_14', 'macd_line', 'macd_signal', 'wave_a2', 'wave_d22', 'wave_d11', 'changepoint_flag', 'days_since_changepoint', 'corr_with_SPY_14', 'pca_1', 'pca_2', 'pca_3', 'pca_4', 'pca_5', 'pca_6', 'pca_7', 'pca_8', 'pca_9', 'pca_10']\n", + "\n", + "=== df.info() ===\n", + "\n", + "RangeIndex: 3024 entries, 0 to 3023\n", + "Data columns (total 35 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 ds 3024 non-null object \n", + " 1 y 3024 non-null float64\n", + " 2 High 3024 non-null float64\n", + " 3 Low 3024 non-null float64\n", + " 4 Open 3024 non-null float64\n", + " 5 Volume 3024 non-null int64 \n", + " 6 unique_id 3024 non-null object \n", + " 7 daily_return 3024 non-null float64\n", + " 8 range_pct 3024 non-null float64\n", + " 9 volume_spike 3024 non-null float64\n", + " 10 rollmean_ret_7 3024 non-null float64\n", + " 11 rollstd_ret_7 3024 non-null float64\n", + " 12 rollmean_ret_14 3024 non-null float64\n", + " 13 rollstd_ret_14 3024 non-null float64\n", + " 14 rollmean_ret_21 3024 non-null float64\n", + " 15 rollstd_ret_21 3024 non-null float64\n", + " 16 rsi_14 3024 non-null float64\n", + " 17 macd_line 3024 non-null float64\n", + " 18 macd_signal 3024 non-null float64\n", + " 19 wave_a2 3024 non-null float64\n", + " 20 wave_d22 3024 non-null float64\n", + " 21 wave_d11 3024 non-null float64\n", + " 22 changepoint_flag 3024 non-null int64 \n", + " 23 days_since_changepoint 3024 non-null int64 \n", + " 24 corr_with_SPY_14 3024 non-null float64\n", + " 25 pca_1 3024 non-null float64\n", + " 26 pca_2 3024 non-null float64\n", + " 27 pca_3 3024 non-null float64\n", + " 28 pca_4 3024 non-null float64\n", + " 29 pca_5 3024 non-null float64\n", + " 30 pca_6 3024 non-null float64\n", + " 31 pca_7 3024 non-null float64\n", + " 32 pca_8 3024 non-null float64\n", + " 33 pca_9 3024 non-null float64\n", + " 34 pca_10 3024 non-null float64\n", + "dtypes: float64(30), int64(3), object(2)\n", + "memory usage: 827.0+ KB\n", + "None\n", + "\n", + "=== Sample Rows (head) ===\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " ds y High Low Open Volume unique_id daily_return \\\n", + "0 2020-01-02 72.796005 72.856598 71.545372 71.799858 135480400 AAPL 0.000000 \n", + "1 2020-01-03 72.088295 72.851761 71.862892 72.020432 146322800 AAPL -0.009769 \n", + "2 2020-01-06 72.662697 72.701477 70.953987 71.206055 118387200 AAPL 0.007936 \n", + "3 2020-01-07 72.320984 72.929329 72.100426 72.672417 108872000 AAPL -0.004714 \n", + "4 2020-01-08 73.484344 73.787308 72.022850 72.022850 132079200 AAPL 0.015958 \n", + "\n", + " range_pct volume_spike rollmean_ret_7 rollstd_ret_7 rollmean_ret_14 rollstd_ret_14 \\\n", + "0 0.018012 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "1 0.013717 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "2 0.024049 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "3 0.011461 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "4 0.024011 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "\n", + " rollmean_ret_21 rollstd_ret_21 rsi_14 macd_line macd_signal wave_a2 wave_d22 \\\n", + "0 0.0013 0.017361 0.000000 0.000000 0.000000 0.016924 -0.002639 \n", + "1 0.0013 0.017361 0.000000 -0.056456 -0.011291 -0.007978 -0.006406 \n", + "2 0.0013 0.017361 5.876453 -0.054222 -0.019877 0.035255 0.011887 \n", + "3 0.0013 0.017361 5.663242 -0.079114 -0.031725 0.001415 -0.026251 \n", + "4 0.0013 0.017361 16.739025 -0.004911 -0.026362 0.009307 -0.003886 \n", + "\n", + " wave_d11 changepoint_flag days_since_changepoint corr_with_SPY_14 pca_1 pca_2 \\\n", + "0 -0.003975 0 0 0.84636 -48.171083 22.515543 \n", + "1 -0.013376 0 1 0.84636 -48.193905 22.474401 \n", + "2 0.005989 0 2 0.84636 -42.941880 19.865257 \n", + "3 0.018912 0 3 0.84636 -43.144498 19.937019 \n", + "4 0.002643 0 4 0.84636 -33.215201 15.075458 \n", + "\n", + " pca_3 pca_4 pca_5 pca_6 pca_7 pca_8 pca_9 pca_10 \n", + "0 3.510418 -1.067293 -0.563925 -0.059356 0.001160 0.015263 0.008877 0.013363 \n", + "1 3.477277 -1.068749 -0.564001 -0.060474 -0.007777 -0.006951 -0.003283 0.014268 \n", + "2 3.101304 -1.076064 -0.558101 -0.057768 0.009834 0.027444 0.028358 0.010467 \n", + "3 3.105323 -1.076242 -0.558349 -0.057982 0.024812 0.007953 -0.018045 0.012183 \n", + "4 2.432631 -1.088092 -0.546862 -0.057783 0.006719 0.007647 0.003640 0.007708 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dsyHighLowOpenVolumeunique_iddaily_returnrange_pctvolume_spikerollmean_ret_7rollstd_ret_7rollmean_ret_14rollstd_ret_14rollmean_ret_21rollstd_ret_21rsi_14macd_linemacd_signalwave_a2wave_d22wave_d11changepoint_flagdays_since_changepointcorr_with_SPY_14pca_1pca_2pca_3pca_4pca_5pca_6pca_7pca_8pca_9pca_10
02020-01-0272.79600572.85659871.54537271.799858135480400AAPL0.0000000.0180120.7847810.007690.012350.0043550.0111810.00130.0173610.0000000.0000000.0000000.016924-0.002639-0.003975000.84636-48.17108322.5155433.510418-1.067293-0.563925-0.0593560.0011600.0152630.0088770.013363
12020-01-0372.08829572.85176171.86289272.020432146322800AAPL-0.0097690.0137170.7847810.007690.012350.0043550.0111810.00130.0173610.000000-0.056456-0.011291-0.007978-0.006406-0.013376010.84636-48.19390522.4744013.477277-1.068749-0.564001-0.060474-0.007777-0.006951-0.0032830.014268
22020-01-0672.66269772.70147770.95398771.206055118387200AAPL0.0079360.0240490.7847810.007690.012350.0043550.0111810.00130.0173615.876453-0.054222-0.0198770.0352550.0118870.005989020.84636-42.94188019.8652573.101304-1.076064-0.558101-0.0577680.0098340.0274440.0283580.010467
32020-01-0772.32098472.92932972.10042672.672417108872000AAPL-0.0047140.0114610.7847810.007690.012350.0043550.0111810.00130.0173615.663242-0.079114-0.0317250.001415-0.0262510.018912030.84636-43.14449819.9370193.105323-1.076242-0.558349-0.0579820.0248120.007953-0.0180450.012183
42020-01-0873.48434473.78730872.02285072.022850132079200AAPL0.0159580.0240110.7847810.007690.012350.0043550.0111810.00130.01736116.739025-0.004911-0.0263620.009307-0.0038860.002643040.84636-33.21520115.0754582.432631-1.088092-0.546862-0.0577830.0067190.0076470.0036400.007708
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "=== Summary Statistics (describe) ===\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " ds y High Low Open Volume unique_id \\\n", + "count 3024 3024.000000 3024.000000 3024.000000 3024.000000 3.024000e+03 3024 \n", + "unique 756 NaN NaN NaN NaN NaN 4 \n", + "top 2022-12-30 NaN NaN NaN NaN NaN AAPL \n", + "freq 4 NaN NaN NaN NaN NaN 756 \n", + "mean NaN 234.960790 237.910477 231.833226 234.976591 9.130971e+07 NaN \n", + "std NaN 105.954290 106.557507 105.310929 106.011052 7.296004e+07 NaN \n", + "min NaN 24.081333 26.990667 23.367332 24.980000 9.200800e+06 NaN \n", + "25% NaN 146.353035 148.163194 144.250130 146.185390 4.642245e+07 NaN \n", + "50% NaN 232.567833 236.529067 228.283333 232.729557 7.570875e+07 NaN \n", + "75% NaN 308.790840 312.758406 305.101015 308.232423 1.088304e+08 NaN \n", + "max NaN 457.181580 459.354041 455.602496 458.626691 9.140820e+08 NaN \n", + "\n", + " daily_return range_pct volume_spike rollmean_ret_7 rollstd_ret_7 rollmean_ret_14 \\\n", + "count 3024.000000 3024.000000 3024.000000 3024.000000 3024.000000 3024.000000 \n", + "unique NaN NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN NaN \n", + "mean 0.000882 0.029248 1.006307 0.000945 0.023107 0.001008 \n", + "std 0.028874 0.022954 0.315960 0.010689 0.017443 0.007786 \n", + "min -0.236518 0.001951 0.336722 -0.074384 0.001241 -0.045081 \n", + "25% -0.010315 0.014145 0.794660 -0.004071 0.011691 -0.002608 \n", + "50% 0.001003 0.022613 0.940399 0.001115 0.017896 0.001154 \n", + "75% 0.013118 0.036959 1.143248 0.005667 0.029356 0.004198 \n", + "max 0.181445 0.218735 3.522375 0.064487 0.144067 0.042494 \n", + "\n", + " rollstd_ret_14 rollmean_ret_21 rollstd_ret_21 rsi_14 macd_line macd_signal \\\n", + "count 3024.000000 3024.000000 3024.000000 3024.000000 3024.000000 3024.000000 \n", + "unique NaN NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN NaN \n", + "mean 0.023618 0.001126 0.024039 53.307211 0.854765 0.884285 \n", + "std 0.016380 0.006699 0.015985 13.083054 6.190530 5.768864 \n", + "min 0.003132 -0.041218 0.004142 0.000000 -25.271333 -22.213158 \n", + "25% 0.012632 -0.002068 0.013413 44.410047 -1.848424 -1.548590 \n", + "50% 0.018890 0.001143 0.018843 53.289773 1.520359 1.528838 \n", + "75% 0.030290 0.003718 0.030202 62.444256 3.977385 3.730316 \n", + "max 0.112792 0.035036 0.099168 100.000000 38.067930 31.285426 \n", + "\n", + " wave_a2 wave_d22 wave_d11 changepoint_flag days_since_changepoint \\\n", + "count 3024.000000 3024.000000 3024.000000 3024.0 3024.000000 \n", + "unique NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN \n", + "mean 0.033863 -0.012906 -0.013186 0.0 377.500000 \n", + "std 0.044675 0.019913 0.026798 0.0 218.274304 \n", + "min -0.210347 -0.120772 -0.220487 0.0 0.000000 \n", + "25% 0.011580 -0.027488 -0.025536 0.0 188.750000 \n", + "50% 0.019570 -0.018809 -0.018873 0.0 377.500000 \n", + "75% 0.027447 0.005505 0.000659 0.0 566.250000 \n", + "max 0.148515 0.116808 0.207337 0.0 755.000000 \n", + "\n", + " corr_with_SPY_14 pca_1 pca_2 pca_3 pca_4 pca_5 \\\n", + "count 3024.000000 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 \n", + "unique NaN NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN NaN \n", + "mean 0.761451 -6.616694e-15 4.652363e-15 2.443665e-16 1.207147e-16 1.198336e-16 \n", + "std 0.265744 1.433625e+01 6.013807e+00 1.140080e+00 3.391828e-01 2.651134e-01 \n", + "min -0.545653 -4.824463e+01 -2.529133e+01 -4.641212e+00 -1.193603e+00 -1.204411e+00 \n", + "25% 0.656788 -1.011552e+01 -3.093560e+00 -5.727765e-01 -1.872533e-01 -1.182569e-01 \n", + "50% 0.838601 4.658288e-01 -1.794104e-01 -6.104054e-02 -3.965275e-02 6.118213e-02 \n", + "75% 0.989129 1.020765e+01 2.693806e+00 5.012733e-01 1.532970e-01 1.859744e-01 \n", + "max 1.000000 5.251819e+01 3.905369e+01 6.314615e+00 2.364020e+00 4.289378e-01 \n", + "\n", + " pca_6 pca_7 pca_8 pca_9 pca_10 \n", + "count 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 3.024000e+03 \n", + "unique NaN NaN NaN NaN NaN \n", + "top NaN NaN NaN NaN NaN \n", + "freq NaN NaN NaN NaN NaN \n", + "mean 1.762259e-18 -3.854941e-19 2.248716e-19 8.260588e-20 9.453784e-19 \n", + "std 2.658778e-02 2.154209e-02 1.459117e-02 1.304733e-02 7.371065e-03 \n", + "min -6.064130e-02 -2.287185e-01 -2.235071e-01 -1.377386e-01 -7.478576e-02 \n", + "25% -1.601453e-02 -2.737111e-03 -1.115777e-03 -1.378910e-03 -2.958028e-03 \n", + "50% -6.857444e-03 -9.163366e-05 -3.873140e-04 -3.981548e-04 -2.015027e-04 \n", + "75% 8.515275e-03 2.300062e-03 6.337193e-04 4.385300e-04 2.871875e-03 \n", + "max 1.584878e-01 2.043644e-01 1.347591e-01 1.332127e-01 6.399966e-02 " + ], + "text/html": [ + "\n", + "
\n", + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dsyHighLowOpenVolumeunique_iddaily_returnrange_pctvolume_spikerollmean_ret_7rollstd_ret_7rollmean_ret_14rollstd_ret_14rollmean_ret_21rollstd_ret_21rsi_14macd_linemacd_signalwave_a2wave_d22wave_d11changepoint_flagdays_since_changepointcorr_with_SPY_14pca_1pca_2pca_3pca_4pca_5pca_6pca_7pca_8pca_9pca_10
count30243024.0000003024.0000003024.0000003024.0000003.024000e+0330243024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.0000003024.03024.0000003024.0000003.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+033.024000e+03
unique756NaNNaNNaNNaNNaN4NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
top2022-12-30NaNNaNNaNNaNNaNAAPLNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
freq4NaNNaNNaNNaNNaN756NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
meanNaN234.960790237.910477231.833226234.9765919.130971e+07NaN0.0008820.0292481.0063070.0009450.0231070.0010080.0236180.0011260.02403953.3072110.8547650.8842850.033863-0.012906-0.0131860.0377.5000000.761451-6.616694e-154.652363e-152.443665e-161.207147e-161.198336e-161.762259e-18-3.854941e-192.248716e-198.260588e-209.453784e-19
stdNaN105.954290106.557507105.310929106.0110527.296004e+07NaN0.0288740.0229540.3159600.0106890.0174430.0077860.0163800.0066990.01598513.0830546.1905305.7688640.0446750.0199130.0267980.0218.2743040.2657441.433625e+016.013807e+001.140080e+003.391828e-012.651134e-012.658778e-022.154209e-021.459117e-021.304733e-027.371065e-03
minNaN24.08133326.99066723.36733224.9800009.200800e+06NaN-0.2365180.0019510.336722-0.0743840.001241-0.0450810.003132-0.0412180.0041420.000000-25.271333-22.213158-0.210347-0.120772-0.2204870.00.000000-0.545653-4.824463e+01-2.529133e+01-4.641212e+00-1.193603e+00-1.204411e+00-6.064130e-02-2.287185e-01-2.235071e-01-1.377386e-01-7.478576e-02
25%NaN146.353035148.163194144.250130146.1853904.642245e+07NaN-0.0103150.0141450.794660-0.0040710.011691-0.0026080.012632-0.0020680.01341344.410047-1.848424-1.5485900.011580-0.027488-0.0255360.0188.7500000.656788-1.011552e+01-3.093560e+00-5.727765e-01-1.872533e-01-1.182569e-01-1.601453e-02-2.737111e-03-1.115777e-03-1.378910e-03-2.958028e-03
50%NaN232.567833236.529067228.283333232.7295577.570875e+07NaN0.0010030.0226130.9403990.0011150.0178960.0011540.0188900.0011430.01884353.2897731.5203591.5288380.019570-0.018809-0.0188730.0377.5000000.8386014.658288e-01-1.794104e-01-6.104054e-02-3.965275e-026.118213e-02-6.857444e-03-9.163366e-05-3.873140e-04-3.981548e-04-2.015027e-04
75%NaN308.790840312.758406305.101015308.2324231.088304e+08NaN0.0131180.0369591.1432480.0056670.0293560.0041980.0302900.0037180.03020262.4442563.9773853.7303160.0274470.0055050.0006590.0566.2500000.9891291.020765e+012.693806e+005.012733e-011.532970e-011.859744e-018.515275e-032.300062e-036.337193e-044.385300e-042.871875e-03
maxNaN457.181580459.354041455.602496458.6266919.140820e+08NaN0.1814450.2187353.5223750.0644870.1440670.0424940.1127920.0350360.099168100.00000038.06793031.2854260.1485150.1168080.2073370.0755.0000001.0000005.251819e+013.905369e+016.314615e+002.364020e+004.289378e-011.584878e-012.043644e-011.347591e-011.332127e-016.399966e-02
\n", + "
\n", + "
\n", + "\n", + "
\n", + " \n", + "\n", + " \n", + "\n", + " \n", + "
\n", + "\n", + "\n", + "
\n", + " \n", + "\n", + "\n", + "\n", + " \n", + "
\n", + "\n", + "
\n", + "
\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### show diff" + ], + "metadata": { + "id": "d16jfKEDZp9g" + } + }, + { + "cell_type": "code", + "source": [ + "# ===== CELL: Compare 'all_features.parquet' vs 'filtered_features.parquet'\n", + "# to display what changed during cleaning, wave-drop, and NaN fixes.\n", + "\n", + "import os\n", + "import pandas as pd\n", + "\n", + "def show_cleaning_stats(original_file='all_features.parquet', cleaned_file='filtered_features.parquet'):\n", + " \"\"\"\n", + " Compare the original all_features.parquet vs the new filtered_features.parquet\n", + " to show how many columns were dropped, how many NaNs got filled, etc.\n", + "\n", + " Steps:\n", + " 1) Verify both files exist.\n", + " 2) Load both DataFrames.\n", + " 3) Show shape difference, columns difference.\n", + " 4) Summarize how many columns had wave_* (removed).\n", + " 5) Summarize the count of NaNs before and after.\n", + " 6) Summarize which columns remain vs. which were dropped.\n", + " \"\"\"\n", + "\n", + " if not os.path.exists(original_file):\n", + " print(f\"[ERROR] The file '{original_file}' does NOT exist.\")\n", + " return\n", + " if not os.path.exists(cleaned_file):\n", + " print(f\"[ERROR] The file '{cleaned_file}' does NOT exist.\")\n", + " return\n", + "\n", + " print(f\"[INFO] Loading original file: {original_file}\")\n", + " df_orig = pd.read_parquet(original_file)\n", + "\n", + " print(f\"[INFO] Loading cleaned file: {cleaned_file}\")\n", + " df_clean = pd.read_parquet(cleaned_file)\n", + "\n", + " # 1) Basic shape comparison\n", + " print(\"\\n=== SHAPE COMPARISON ===\")\n", + " print(f\"Original: {df_orig.shape}, Cleaned: {df_clean.shape}\")\n", + "\n", + " # 2) Columns difference\n", + " orig_cols = set(df_orig.columns)\n", + " clean_cols = set(df_clean.columns)\n", + " dropped_cols = orig_cols - clean_cols\n", + " new_cols = clean_cols - orig_cols\n", + " kept_cols = orig_cols & clean_cols\n", + "\n", + " print(\"\\n=== COLUMN COMPARISON ===\")\n", + " print(f\"- Dropped columns: {sorted(list(dropped_cols)) if dropped_cols else 'None'}\")\n", + " print(f\"- New columns : {sorted(list(new_cols)) if new_cols else 'None'}\")\n", + " print(f\"- Kept columns : {sorted(list(kept_cols))}\")\n", + "\n", + " # 3) Identify wave columns that were removed\n", + " wave_cols_in_orig = [c for c in df_orig.columns if c.startswith('wave_')]\n", + " wave_cols_dropped = [c for c in wave_cols_in_orig if c in dropped_cols]\n", + " if wave_cols_dropped:\n", + " print(f\"\\n[INFO] Wave-based columns removed: {wave_cols_dropped}\")\n", + " else:\n", + " print(\"\\n[INFO] No wave-based columns found or removed (maybe already missing).\")\n", + "\n", + " # 4) Count NaNs before/after\n", + " orig_nans_count = df_orig.isna().sum().sum() # total NaNs in original\n", + " clean_nans_count = df_clean.isna().sum().sum() # total NaNs in cleaned\n", + "\n", + " print(\"\\n=== NaN / Missing Values COMPARISON ===\")\n", + " print(f\"Total NaNs in original: {orig_nans_count}\")\n", + " print(f\"Total NaNs in cleaned : {clean_nans_count}\")\n", + " if clean_nans_count > 0:\n", + " print(\"WARNING: There are still NaN in the cleaned DataFrame, which is unexpected.\")\n", + " else:\n", + " print(\"No NaNs remain in the cleaned DataFrame, as intended.\")\n", + "\n", + " # 5) Optionally show columns with leftover NaNs in the cleaned DF\n", + " # (Should ideally be none, but let's highlight if there's a problem.)\n", + " columns_with_nans = df_clean.columns[df_clean.isna().any()].tolist()\n", + " if columns_with_nans:\n", + " print(\"\\n[ALERT] The following columns in the cleaned DataFrame still contain NaN:\")\n", + " for c in columns_with_nans:\n", + " nan_count = df_clean[c].isna().sum()\n", + " print(f\" - Column '{c}' has {nan_count} NaNs\")\n", + " else:\n", + " print(\"\\n[CHECK] Verified that no columns in the cleaned DF contain NaN.\")\n", + "\n", + " # 6) Quick summary of each file's memory usage\n", + " print(\"\\n=== MEMORY USAGE ===\")\n", + " print(f\"Original file memory usage: {df_orig.memory_usage(deep=True).sum()/(1024*1024):.2f} MB\")\n", + " print(f\"Cleaned file memory usage: {df_clean.memory_usage(deep=True).sum()/(1024*1024):.2f} MB\")\n", + "\n", + " print(\"\\n=== DONE with cleaning stats ===\")\n", + "\n", + "\n", + "# USAGE EXAMPLE (in colab or local):\n", + "# show_cleaning_stats('all_features.parquet', 'filtered_features.parquet')\n", + "#\n", + "# If you get a FileNotFoundError, ensure these files are either in the same directory,\n", + "# or specify the correct path to them.\n", + "if __name__ == \"__main__\":\n", + " show_cleaning_stats()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "lDvh8cBTZtAi", + "outputId": "94fc6043-777a-4a30-f9a5-8c0d79356b93" + }, + "execution_count": 11, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] Loading original file: all_features.parquet\n", + "[INFO] Loading cleaned file: filtered_features.parquet\n", + "\n", + "=== SHAPE COMPARISON ===\n", + "Original: (3024, 35), Cleaned: (3024, 35)\n", + "\n", + "=== COLUMN COMPARISON ===\n", + "- Dropped columns: ['Close', 'Date', 'Ticker']\n", + "- New columns : ['ds', 'unique_id', 'y']\n", + "- Kept columns : ['High', 'Low', 'Open', 'Volume', 'changepoint_flag', 'corr_with_SPY_14', 'daily_return', 'days_since_changepoint', 'macd_line', 'macd_signal', 'pca_1', 'pca_10', 'pca_2', 'pca_3', 'pca_4', 'pca_5', 'pca_6', 'pca_7', 'pca_8', 'pca_9', 'range_pct', 'rollmean_ret_14', 'rollmean_ret_21', 'rollmean_ret_7', 'rollstd_ret_14', 'rollstd_ret_21', 'rollstd_ret_7', 'rsi_14', 'volume_spike', 'wave_a2', 'wave_d11', 'wave_d22']\n", + "\n", + "[INFO] No wave-based columns found or removed (maybe already missing).\n", + "\n", + "=== NaN / Missing Values COMPARISON ===\n", + "Total NaNs in original: 6448\n", + "Total NaNs in cleaned : 0\n", + "No NaNs remain in the cleaned DataFrame, as intended.\n", + "\n", + "[CHECK] Verified that no columns in the cleaned DF contain NaN.\n", + "\n", + "=== MEMORY USAGE ===\n", + "Original file memory usage: 1.13 MB\n", + "Cleaned file memory usage: 1.13 MB\n", + "\n", + "=== DONE with cleaning stats ===\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# NHITS Training with Parquet & Backtesting (Crossvalidation)" + ], + "metadata": { + "id": "ptFJ3NVscer6" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Prep" + ], + "metadata": { + "id": "0M1zd_H1L1-k" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install yfinance neuralforecast\n", + "!pip install statsforecast ray" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "-oYjpKdjeIx5", + "outputId": "571abb3f-c74a-4166-ce32-3bd92a03564b" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.51)\n", + "Collecting neuralforecast\n", + " Downloading neuralforecast-2.0.0-py3-none-any.whl.metadata (14 kB)\n", + "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.2.2)\n", + "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.26.4)\n", + "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.32.3)\n", + "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.10/dist-packages (from yfinance) (0.0.11)\n", + "Requirement already satisfied: lxml>=4.9.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (5.3.0)\n", + "Requirement already satisfied: platformdirs>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.3.6)\n", + "Requirement already satisfied: pytz>=2022.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2024.2)\n", + "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.4.6)\n", + "Requirement already satisfied: peewee>=3.16.2 in /usr/local/lib/python3.10/dist-packages (from yfinance) (3.17.8)\n", + "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.12.3)\n", + "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.1)\n", + "Collecting coreforecast>=0.0.6 (from neuralforecast)\n", + " Downloading coreforecast-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2024.10.0)\n", + "Requirement already satisfied: torch>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2.5.1+cu121)\n", + "Collecting pytorch-lightning>=2.0.0 (from neuralforecast)\n", + " Downloading pytorch_lightning-2.5.0.post0-py3-none-any.whl.metadata (21 kB)\n", + "Collecting ray>=2.2.0 (from ray[tune]>=2.2.0->neuralforecast)\n", + " Downloading ray-2.40.0-cp310-cp310-manylinux2014_x86_64.whl.metadata (17 kB)\n", + "Collecting optuna (from neuralforecast)\n", + " Downloading optuna-4.1.0-py3-none-any.whl.metadata (16 kB)\n", + "Collecting utilsforecast>=0.2.3 (from neuralforecast)\n", + " Downloading utilsforecast-0.2.10-py3-none-any.whl.metadata (7.4 kB)\n", + "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4>=4.11.1->yfinance) (2.6)\n", + "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (1.17.0)\n", + "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (0.5.1)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2024.2)\n", + "Requirement already satisfied: tqdm>=4.57.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (4.67.1)\n", + "Requirement already satisfied: PyYAML>=5.4 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (6.0.2)\n", + "Collecting torchmetrics>=0.7.0 (from pytorch-lightning>=2.0.0->neuralforecast)\n", + " Downloading torchmetrics-1.6.1-py3-none-any.whl.metadata (21 kB)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (24.2)\n", + "Requirement already satisfied: typing-extensions>=4.4.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (4.12.2)\n", + "Collecting lightning-utilities>=0.10.0 (from pytorch-lightning>=2.0.0->neuralforecast)\n", + " Downloading lightning_utilities-0.11.9-py3-none-any.whl.metadata (5.2 kB)\n", + "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (8.1.8)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (3.16.1)\n", + "Requirement already satisfied: jsonschema in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (4.23.0)\n", + "Requirement already satisfied: msgpack<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.1.0)\n", + "Requirement already satisfied: protobuf!=3.19.5,>=3.15.3 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (4.25.5)\n", + "Requirement already satisfied: aiosignal in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.3.2)\n", + "Requirement already satisfied: frozenlist in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.5.0)\n", + "Collecting tensorboardX>=1.9 (from ray[tune]>=2.2.0->neuralforecast)\n", + " Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl.metadata (5.8 kB)\n", + "Requirement already satisfied: pyarrow>=9.0.0 in /usr/local/lib/python3.10/dist-packages (from ray[tune]>=2.2.0->neuralforecast) (17.0.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.4.1)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2.3.0)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2024.12.14)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.4.2)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.1.5)\n", + "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (1.13.1)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=2.0.0->neuralforecast) (1.3.0)\n", + "Collecting alembic>=1.5.0 (from optuna->neuralforecast)\n", + " Downloading alembic-1.14.0-py3-none-any.whl.metadata (7.4 kB)\n", + "Collecting colorlog (from optuna->neuralforecast)\n", + " Downloading colorlog-6.9.0-py3-none-any.whl.metadata (10 kB)\n", + "Requirement already satisfied: sqlalchemy>=1.4.2 in /usr/local/lib/python3.10/dist-packages (from optuna->neuralforecast) (2.0.36)\n", + "Collecting Mako (from alembic>=1.5.0->optuna->neuralforecast)\n", + " Downloading Mako-1.3.8-py3-none-any.whl.metadata (2.9 kB)\n", + "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (3.11.11)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from lightning-utilities>=0.10.0->pytorch-lightning>=2.0.0->neuralforecast) (75.1.0)\n", + "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from sqlalchemy>=1.4.2->optuna->neuralforecast) (3.1.1)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.0.0->neuralforecast) (3.0.2)\n", + "Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (24.3.0)\n", + "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (2024.10.1)\n", + "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (0.35.1)\n", + "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (0.22.3)\n", + "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (2.4.4)\n", + "Requirement already satisfied: async-timeout<6.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (4.0.3)\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (6.1.0)\n", + "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (0.2.1)\n", + "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (1.18.3)\n", + "Downloading neuralforecast-2.0.0-py3-none-any.whl (256 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m256.8/256.8 kB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading coreforecast-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (275 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m275.6/275.6 kB\u001b[0m \u001b[31m20.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading pytorch_lightning-2.5.0.post0-py3-none-any.whl (819 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m819.3/819.3 kB\u001b[0m \u001b[31m26.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading ray-2.40.0-cp310-cp310-manylinux2014_x86_64.whl (66.8 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.8/66.8 MB\u001b[0m \u001b[31m10.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading utilsforecast-0.2.10-py3-none-any.whl (41 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.7/41.7 kB\u001b[0m \u001b[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading optuna-4.1.0-py3-none-any.whl (364 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m364.4/364.4 kB\u001b[0m \u001b[31m29.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading alembic-1.14.0-py3-none-any.whl (233 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.5/233.5 kB\u001b[0m \u001b[31m19.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading lightning_utilities-0.11.9-py3-none-any.whl (28 kB)\n", + "Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl (101 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.7/101.7 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading torchmetrics-1.6.1-py3-none-any.whl (927 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m927.3/927.3 kB\u001b[0m \u001b[31m51.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading colorlog-6.9.0-py3-none-any.whl (11 kB)\n", + "Downloading Mako-1.3.8-py3-none-any.whl (78 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.6/78.6 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: tensorboardX, Mako, lightning-utilities, coreforecast, colorlog, alembic, utilsforecast, torchmetrics, optuna, ray, pytorch-lightning, neuralforecast\n", + "Successfully installed Mako-1.3.8 alembic-1.14.0 colorlog-6.9.0 coreforecast-0.0.15 lightning-utilities-0.11.9 neuralforecast-2.0.0 optuna-4.1.0 pytorch-lightning-2.5.0.post0 ray-2.40.0 tensorboardX-2.6.2.2 torchmetrics-1.6.1 utilsforecast-0.2.10\n", + "Collecting statsforecast\n", + " Downloading statsforecast-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (28 kB)\n", + "Requirement already satisfied: ray in /usr/local/lib/python3.10/dist-packages (2.40.0)\n", + "Requirement already satisfied: cloudpickle in /usr/local/lib/python3.10/dist-packages (from statsforecast) (3.1.0)\n", + "Requirement already satisfied: coreforecast>=0.0.12 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.0.15)\n", + "Requirement already satisfied: numba>=0.55.0 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.60.0)\n", + "Requirement already satisfied: numpy>=1.21.6 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (1.26.4)\n", + "Requirement already satisfied: pandas>=1.3.5 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (2.2.2)\n", + "Requirement already satisfied: scipy>=1.7.3 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (1.13.1)\n", + "Requirement already satisfied: statsmodels>=0.13.2 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.14.4)\n", + "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from statsforecast) (4.67.1)\n", + "Collecting fugue>=0.8.1 (from statsforecast)\n", + " Downloading fugue-0.9.1-py3-none-any.whl.metadata (18 kB)\n", + "Requirement already satisfied: utilsforecast>=0.1.4 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (0.2.10)\n", + "Requirement already satisfied: threadpoolctl>=3 in /usr/local/lib/python3.10/dist-packages (from statsforecast) (3.5.0)\n", + "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray) (8.1.8)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from ray) (3.16.1)\n", + "Requirement already satisfied: jsonschema in /usr/local/lib/python3.10/dist-packages (from ray) (4.23.0)\n", + "Requirement already satisfied: msgpack<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from ray) (1.1.0)\n", + "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from ray) (24.2)\n", + "Requirement already satisfied: protobuf!=3.19.5,>=3.15.3 in /usr/local/lib/python3.10/dist-packages (from ray) (4.25.5)\n", + "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from ray) (6.0.2)\n", + "Requirement already satisfied: aiosignal in /usr/local/lib/python3.10/dist-packages (from ray) (1.3.2)\n", + "Requirement already satisfied: frozenlist in /usr/local/lib/python3.10/dist-packages (from ray) (1.5.0)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from ray) (2.32.3)\n", + "Collecting triad>=0.9.7 (from fugue>=0.8.1->statsforecast)\n", + " Downloading triad-0.9.8-py3-none-any.whl.metadata (6.3 kB)\n", + "Collecting adagio>=0.2.4 (from fugue>=0.8.1->statsforecast)\n", + " Downloading adagio-0.2.6-py3-none-any.whl.metadata (1.8 kB)\n", + "Requirement already satisfied: llvmlite<0.44,>=0.43.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.55.0->statsforecast) (0.43.0)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.5->statsforecast) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.5->statsforecast) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.5->statsforecast) (2024.2)\n", + "Requirement already satisfied: patsy>=0.5.6 in /usr/local/lib/python3.10/dist-packages (from statsmodels>=0.13.2->statsforecast) (1.0.1)\n", + "Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (24.3.0)\n", + "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (2024.10.1)\n", + "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (0.35.1)\n", + "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray) (0.22.3)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (3.4.1)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (2.3.0)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->ray) (2024.12.14)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas>=1.3.5->statsforecast) (1.17.0)\n", + "Requirement already satisfied: pyarrow>=6.0.1 in /usr/local/lib/python3.10/dist-packages (from triad>=0.9.7->fugue>=0.8.1->statsforecast) (17.0.0)\n", + "Requirement already satisfied: fsspec>=2022.5.0 in /usr/local/lib/python3.10/dist-packages (from triad>=0.9.7->fugue>=0.8.1->statsforecast) (2024.10.0)\n", + "Collecting fs (from triad>=0.9.7->fugue>=0.8.1->statsforecast)\n", + " Downloading fs-2.4.16-py2.py3-none-any.whl.metadata (6.3 kB)\n", + "Collecting appdirs~=1.4.3 (from fs->triad>=0.9.7->fugue>=0.8.1->statsforecast)\n", + " Downloading appdirs-1.4.4-py2.py3-none-any.whl.metadata (9.0 kB)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from fs->triad>=0.9.7->fugue>=0.8.1->statsforecast) (75.1.0)\n", + "Downloading statsforecast-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (319 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m319.1/319.1 kB\u001b[0m \u001b[31m15.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading fugue-0.9.1-py3-none-any.whl (278 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m278.2/278.2 kB\u001b[0m \u001b[31m19.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading adagio-0.2.6-py3-none-any.whl (19 kB)\n", + "Downloading triad-0.9.8-py3-none-any.whl (62 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.3/62.3 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading fs-2.4.16-py2.py3-none-any.whl (135 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.3/135.3 kB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)\n", + "Installing collected packages: appdirs, fs, triad, adagio, fugue, statsforecast\n", + "Successfully installed adagio-0.2.6 appdirs-1.4.4 fs-2.4.16 fugue-0.9.1 statsforecast-2.0.0 triad-0.9.8\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Training & Prediction" + ], + "metadata": { + "id": "cgtJ7AVWvTay" + } + }, + { + "cell_type": "code", + "source": [ + "# ====================== SINGLE CODE CELL START ======================\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Nixtla imports\n", + "from neuralforecast import NeuralForecast\n", + "from neuralforecast.models import NHITS\n", + "# (Optional) If you want quantiles, from neuralforecast.losses.pytorch import MQLoss\n", + "\n", + "# 1) Load your already-cleaned DataFrame from parquet\n", + "filtered_path = \"filtered_features.parquet\"\n", + "df_filtered = pd.read_parquet(filtered_path)\n", + "\n", + "# Basic checks\n", + "if not all(x in df_filtered.columns for x in ['ds', 'unique_id', 'y']):\n", + " raise ValueError(\"Parquet must have columns [ds, unique_id, y].\")\n", + "\n", + "# Convert ds to datetime if not already\n", + "df_filtered['ds'] = pd.to_datetime(df_filtered['ds'], errors='coerce')\n", + "if df_filtered['ds'].isna().any():\n", + " raise ValueError(\"[Error] Some ds rows are NaT. Check for invalid date strings.\")\n", + "\n", + "print(\"[INFO] df_filtered sample:\")\n", + "print(df_filtered.head(5), \"\\n\")\n", + "\n", + "# 2) Choose a forecasting frequency.\n", + "# If your data has daily rows Mon-Fri only (i.e. stock data), freq='B' is common.\n", + "FREQ = 'B'\n", + "\n", + "# 3) Initialize a model or multiple models\n", + "# Adjust your horizon, input_size, training steps as needed\n", + "HORIZON = 14\n", + "model_nhits = NHITS(\n", + " h=HORIZON,\n", + " input_size=2*HORIZON,\n", + " max_steps=200, # Low for demonstration\n", + " # If you want quantile forecasts, add: loss=MQLoss(), etc.\n", + ")\n", + "\n", + "# 4) Create a NeuralForecast container & call cross_validation\n", + "nf = NeuralForecast(\n", + " models=[model_nhits],\n", + " freq=FREQ\n", + ")\n", + "\n", + "print(\"[INFO] Running cross_validation(...) to get in-sample predictions.\\n\"\n", + " \"This approach ensures predicted timestamps overlap actual ds in historical data.\\n\")\n", + "\n", + "# cross_validation arguments:\n", + "# - df: your dataset\n", + "# - n_windows: how many rolling windows?\n", + "# - h: forecast horizon for each window\n", + "# - step_size: how many steps to move the window each time?\n", + "# - refit: whether to refit the model each window. If refit=False,\n", + "# the model trains once on the earliest portion and continues forward.\n", + "\n", + "cv_df = nf.cross_validation(\n", + " df=df_filtered,\n", + " n_windows=3,\n", + " # Instead of `h=14`, do val_size:\n", + " val_size=14,\n", + " step_size=14,\n", + " refit=True,\n", + ")\n", + "\n", + "print(\"\\n=== cross_validation() returned DataFrame (head) ===\")\n", + "print(cv_df.shape)\n", + "print(cv_df.head(10))\n", + "\n", + "# Typically, cv_df contains columns:\n", + "# [unique_id, ds, y, cutoff, NHITS-median, NHITS-lo-80, NHITS-lo-90, NHITS-hi-80, ...]\n", + "# The exact naming depends on your model & config.\n", + "\n", + "# 5) Visualize the in-sample predictions for one stock\n", + "# We do not need to 'merge' because cross_validation() already includes 'y'.\n", + "stock_ids = cv_df['unique_id'].unique()\n", + "if len(stock_ids) == 0:\n", + " print(\"[ERROR] No unique_id in cv_df; unexpected.\")\n", + "else:\n", + " first_stock = stock_ids[0]\n", + " sub = cv_df[cv_df['unique_id'] == first_stock].copy()\n", + " sub.sort_values('ds', inplace=True)\n", + "\n", + " # Nixtla typically names the median forecast f\"{ModelName}-median\"\n", + " # For NHITS, it might be \"NHITS\" if no quantiles, or \"NHITS-median\" if quantiles.\n", + " # Inspect cv_df.columns to confirm:\n", + " col_candidates = [c for c in sub.columns if \"NHITS\" in c]\n", + " print(\"\\n[DEBUG] Forecast columns found:\", col_candidates)\n", + "\n", + " # Let's assume 'NHITS-median' is the main forecast column (if MQLoss).\n", + " # If you used a plain MSE or MAE, you might see just 'NHITS'.\n", + " if 'NHITS-median' in sub.columns:\n", + " forecast_col = 'NHITS-median'\n", + " elif 'NHITS' in sub.columns:\n", + " forecast_col = 'NHITS'\n", + " else:\n", + " print(\"[WARNING] Could not find 'NHITS' or 'NHITS-median' in columns!\")\n", + " forecast_col = None\n", + "\n", + " if forecast_col:\n", + " # Plot last 60 historical rows (in-sample)\n", + " zoom_sub = sub.iloc[-60:].copy()\n", + "\n", + " plt.figure(figsize=(10,5))\n", + " plt.plot(zoom_sub['ds'], zoom_sub['y'], label=\"Actual (y)\", color='black')\n", + " plt.plot(zoom_sub['ds'], zoom_sub[forecast_col], label=forecast_col, linestyle='--', color='blue')\n", + " plt.title(f\"In-Sample Prediction using cross_validation - {first_stock} (last 60 rows)\")\n", + " plt.xlabel(\"Date\")\n", + " plt.ylabel(\"Value\")\n", + " plt.legend()\n", + " plt.grid(True)\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "# ====================== SINGLE CODE CELL END ======================" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "9b2a15c6ec574d4083992c42a8293c63", + "3710c8b2417e4e5daad73819eb946c0e", + "fc441102de0a496ca554c6ea6f6b0a25", + "83cf05c5fb374addac4433698c8135b6", + "3eea088d06144365bfc1903ade0fcd75", + "05ab2ed5b5a44b3ebe5b1c2390013e2e", + "10fb7498dfae44eeaa1504c9fd44e744", + "3131f2d52fdd43f78fdbbe3700305f9f", + "ad28650c2afd42f1a54c2374ebaa2c93", + "7fc68f026f5749eb83b6a374f1efe4d7", + "0bfd5d20f6f74ece8fa8353ceeccdb99", + "eb594a337c344daa9b2103ef273f7de2", + "35541c64f55744d4b34df501385d902f", + "47f11ccd26df44bd87e9b340a58a3718", + "1ff5913b612f4aa1ac476741579703c0", + "eca550d543c7452fa76f86132b4b8f1f", + "922c62c115d5471693e63589b5af83e9", + "a4a09e5d8ee24d4db9438fae068f9eea", + "42fcfc473be943619b04011410eadfa5", + "fcbe675f9b1f4e19a991ee9040036ef4", + "4c0a1d48c59440a0912864d043ea849c", + "233b3deec9e64bd690a5f2a02761d6a7", + "a5af26360a794880ba6891d0b6ed1005", + "a108c7b7ab424344bb6c4a68f5c04cf5", + "0d6ea95614cc45d9a6b555f6bda73e41", + "dfa4418d37c042cab31e759f5a09b774", + "0d590d7a1bcf453a8d194ef7f3dd38bb", + "e445b4eea10243dd9d4f041704ebd1e4", + "23320e8207434059ad55fc7e0d2bdd7f", + "c2ca77c098ee4acea91b233a5328f82e", + "b1118c573e9f4c7dab1498f2dad49ee5", + "e442cf3b017b4a5c9ea902fcb7411544", + "399b9c28ef89465b885d2903178c2f90", + "bf3e0bf383464e51b6cbb0454217489c", + "fd401a9a1b11493eae14e1a7b22603b5", + "e316413275e94595aeb453f77329cede", + "3714e7874f2541a286631c8b41ea0475", + "53b7b04d78c54b6fa6da43e1c49a76b3", + "7a09921558c84eef84122427dac7aa91", + "311ea945f3b243839ecc999a1ad994d8", + "27d11ae175fb4292b76ad935944b5bee", + "9ad1ebbf1e1a49d5a87f220262552294", + "11de2b270a114898a563a3c2a576f5d3", + "a17826b434b2446e9b741c7db3e0aab0", + "730ac32049084e81a6d76a7abdfb3de6", + "b13c9ce3dccf40ba9f5dfd55f6395237", + "3756b71af42a47c699c7e8de4e851365", + "4858a3b0a5824a519431aa1530d60d19", + "6c67e662d200437a8bc60d8e07266dd0", + "6210509dfb2d44f5899d69b95fb3b6aa", + "ccb601ddc7fb43b0a0feda51a317214f", + "9558275df6cf4617a0fed7ddb7bda4d6", + "c34cdee6e5404bfd87483142c77b41b5", + "143def195d3b4dd7bedac577bf8d8b1e", + "e09479001bf147ab975615fe6411fcfe", + "51b7090355ac4c9ca016a174bcab3304", + "64d92d0053394ea4bb2e59ce19532016", + "cf54983d610a4771bcc35155ed3938c3", + "ef92e6488d44406c9f0b00e6eb7bc2a5", + "9daf8f58c8cf441683aa60ff6c093a68", + "7c88a42e1779462896a5beed87f89482", + "06d3e437a474472a8f79bf58065f60c8", + "db30810b05904d4b821b719227cd86f1", + "b8383a63482c489db81fe98110751028", + "fd59c7b446da4e4b859fc64d40d91c46", + "7863116d30d94c99b5deea5c2a3c25e8", + "8371260333db44828ece188498f590ef", + "50340af53f1c4474a2651a6c058d2c7c", + "c9957ad0047a4e7fa077c2774cec3e7f", + "72c9f9f0f893406ab3dac7471904c816", + "7472e6f6020a44dca38803bbfb9c9509", + "b8eaa9d5402142bba407dacf76eb0b1d", + "9e82aa1f3d9c47eabe2c43878d55cf01", + "759543fbee7947d2a2247561546a3ea7", + "19c78bb94ca046af96a13611eb9f4346", + "51c97f08d363445b9a267e6c981863a4", + "104e025747ef42f89a3753b49f50e2b9", + "4661bfaa42b5402fb2897bd112f0d972", + "073df57fd36a47e89961e0ddb2d5e8c6", + "86ed752bfa784aff87e02e69ceb469c1", + "8e9a3bb9b14f4d3788c6b1384a9a26f5", + "b252128a8a8440ff82624e5959e3a6ab", + "7186fcaba4ab4de5a503e58279b1bb08", + "6622cf8f17ea4a9a917312007815007b", + "d00c18eb0b9e4bd5acbeec5cb7ef9a8a", + "a7912822018c4b7d9433aa2cc721d991", + "566999ca31144bfaa80a6366a2478433", + "59baf10a18c6444ba1f7e7e200bd8fde", + "3d07575e0ac2450ca45890af692d13e2", + "78f70abe75524593bf061bb9649641f1", + "4fe62774c02e4c59a0a02535b23610ea", + "867f7a98c58f49698454af96a777cff7", + "dcb76db070284bab8918b42adf5b58d6", + "bf47b6240276450b865e2ad040ac12a9", + "dc3b6e1479604048a4b1d42c0ac9f89b", + "2bf9147ea07a4d2880cb0f6f7af41f2b", + "273ee3facaef4667be4a2cbca4d0df75", + "9318063b6bbe4e7783d3237255ed2690", + "e900151f13da43f7bb8873e55d8ee491", + "cedadc586dfa4cc49eafaa0574d3b48f", + "be78823af43040cf8c4bede5e81aaaf0", + "87f1a9a325624ca8a753bdce35dc57b4", + "a5c527d4dd23476aaa62ee5014990514", + "41e9d6e443dd4ca19a2778e9ff00d2ac", + "2ca682dd25ac4e058b3192002834a458", + "faad91131edc44568465fbad9bf690f9", + "77e16bc6deb14feab090b684089c6fbf", + "eb772d5c400f49acaf8798648423109c", + "1ab55c81929b4d50a5427f5c3e1caf73", + "8e43482f92f34531a3d513099090bb0b", + "cb26e78d55a34343b40db69bb3d297ad", + "5d59d8acb04c46bf8bbf270f8763e59d", + "c0599fb95d8342a4befb8528c38ec0a7", + "7992a7c7cce843a59a705e8fcbff75f2", + "b455d1fb532b46c183f7498f62895d88", + "9e3b4282e3cf44a29757756c48777ef7", + "7e68f9fa6f624de1ac36ed8658773bf1", + "6a8eeec38532483b952563bb398467b8", + "a523509fb4474ebb82c32a146050510a", + "58247aa9c1974eb9bec72c1c36ee6803", + "fae278a4d4464d90a32126e402a8b814", + "88ef98ddf09f4cbfa25516790c6e4666", + "5beb476b56e24ec28948e346b5b022e5", + "f39192a7b9c848b8acffef927c6bd12a", + "2fc2276d54e64f4e8ac1486046a9198e", + "1668fae1c92241ff9d23161d2d0373ab", + "c9b4e9639f304187a1eb74780c9d1ed6", + "163d36945d2a4148af850de5422e7d52", + "742f9722b7e94d60a076426980347298", + "fa0365e669a347a496addc44c111b6d2", + "092c93d93fb845afa53caaafddd97bd0", + "2d30607334574fc2ba0e11b4d3c0e3a6", + "823bfaa4d24f42eab9d620d22e773593", + "407115dab83941f7a16baa316ef05265", + "40ffebba1b8f4dc69955a9d20ec5da04", + "3bcccbf505ad424b9814fff7884ae1e0", + "b0fcf75c7d4e47cea74e92a42c2354d3", + "af2a260a9876418db1f343a4b6e68af6", + "fb29f56d0f1e472982a794d1131adc34", + "bf83a628f53444acbd1534c9e5c6232d", + "d1c3f361bea84dc0a546b82e0e1cfa40", + "6232fa9941704a2fa48cec111291f696", + "e9bcbd4f041e486c81fa790bf88e28ac", + "683c9744bfbd4e7dba8ff4274dcb229e", + "d80f3e6e37624da887a091d1fda6045a", + "39075eb5c81f405295ae527bad25ab50", + "e8b091b2b55d45e1ad1406421ed62c9a", + "2d963d23e88f4ee5854be719bd5402b3", + "29da41d42de3456199930baa27b6c4ad", + "0bd9ea41abc342758cc41e02948eaaa6", + "be3dc2f749e2436ba2eb3cfc32a3c36f", + "6815584731764713883274aa7420599d", + "a12f36261cac478098ab30ab2cf23df7", + "9f73fe866d0240fdbc61fa4c8b690963", + "4e03828609c14bf48dee988c033e6970", + "c1314af3895646a2ab516979dfab7c12", + "e7f9fd95aa8e44af99e1aba0ac570bc7", + "5acdd7e85059428b80bbf74dba2ebfc0", + "b5b61dad158f41ad9ec3800d15bf41f8", + "fb926f84bc614b73ab36364589333b7b", + "ec22e31ad2884335b2706e75065842f1", + "f00619786a3c4a3685c09997d4c8def7", + "6cd7ebbcd6c94703a889044688e6fa12", + "29b848809e934023a67b9667052a923d", + "7b943515e5984f93ab6d190cb51c1516" + ] + }, + "collapsed": true, + "id": "Ml1qUlukckWA", + "outputId": "520cc369-dd0f-44f9-d71a-83b11def5b1d" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:lightning_fabric.utilities.seed:Seed set to 1\n", + "INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True\n", + "INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n", + "INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] df_filtered sample:\n", + " ds y High Low Open Volume unique_id daily_return \\\n", + "0 2020-01-02 72.796005 72.856598 71.545372 71.799858 135480400 AAPL 0.000000 \n", + "1 2020-01-03 72.088295 72.851761 71.862892 72.020432 146322800 AAPL -0.009769 \n", + "2 2020-01-06 72.662697 72.701477 70.953987 71.206055 118387200 AAPL 0.007936 \n", + "3 2020-01-07 72.320984 72.929329 72.100426 72.672417 108872000 AAPL -0.004714 \n", + "4 2020-01-08 73.484344 73.787308 72.022850 72.022850 132079200 AAPL 0.015958 \n", + "\n", + " range_pct volume_spike rollmean_ret_7 rollstd_ret_7 rollmean_ret_14 rollstd_ret_14 \\\n", + "0 0.018012 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "1 0.013717 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "2 0.024049 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "3 0.011461 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "4 0.024011 0.784781 0.00769 0.01235 0.004355 0.011181 \n", + "\n", + " rollmean_ret_21 rollstd_ret_21 rsi_14 macd_line macd_signal wave_a2 wave_d22 \\\n", + "0 0.0013 0.017361 0.000000 0.000000 0.000000 0.016924 -0.002639 \n", + "1 0.0013 0.017361 0.000000 -0.056456 -0.011291 -0.007978 -0.006406 \n", + "2 0.0013 0.017361 5.876453 -0.054222 -0.019877 0.035255 0.011887 \n", + "3 0.0013 0.017361 5.663242 -0.079114 -0.031725 0.001415 -0.026251 \n", + "4 0.0013 0.017361 16.739025 -0.004911 -0.026362 0.009307 -0.003886 \n", + "\n", + " wave_d11 changepoint_flag days_since_changepoint corr_with_SPY_14 pca_1 pca_2 \\\n", + "0 -0.003975 0 0 0.84636 -48.171083 22.515543 \n", + "1 -0.013376 0 1 0.84636 -48.193905 22.474401 \n", + "2 0.005989 0 2 0.84636 -42.941880 19.865257 \n", + "3 0.018912 0 3 0.84636 -43.144498 19.937019 \n", + "4 0.002643 0 4 0.84636 -33.215201 15.075458 \n", + "\n", + " pca_3 pca_4 pca_5 pca_6 pca_7 pca_8 pca_9 pca_10 \n", + "0 3.510418 -1.067293 -0.563925 -0.059356 0.001160 0.015263 0.008877 0.013363 \n", + "1 3.477277 -1.068749 -0.564001 -0.060474 -0.007777 -0.006951 -0.003283 0.014268 \n", + "2 3.101304 -1.076064 -0.558101 -0.057768 0.009834 0.027444 0.028358 0.010467 \n", + "3 3.105323 -1.076242 -0.558349 -0.057982 0.024812 0.007953 -0.018045 0.012183 \n", + "4 2.432631 -1.088092 -0.546862 -0.057783 0.006719 0.007647 0.003640 0.007708 \n", + "\n", + "[INFO] Running cross_validation(...) to get in-sample predictions.\n", + "This approach ensures predicted timestamps overlap actual ds in historical data.\n", + "\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", + "INFO:pytorch_lightning.callbacks.model_summary:\n", + " | Name | Type | Params | Mode \n", + "-------------------------------------------------------\n", + "0 | loss | MAE | 0 | train\n", + "1 | padder_train | ConstantPad1d | 0 | train\n", + "2 | scaler | TemporalNorm | 0 | train\n", + "3 | blocks | ModuleList | 2.4 M | train\n", + "-------------------------------------------------------\n", + "2.4 M Trainable params\n", + "0 Non-trainable params\n", + "2.4 M Total params\n", + "9.798 Total estimated model params size (MB)\n", + "34 Modules in train mode\n", + "0 Modules in eval mode\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Sanity Checking: | | 0/? [00:00" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate Cross Validation Metrics" + ], + "metadata": { + "id": "9lTr3ERAqMmQ" + } + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "###############################################################################\n", + "# 1) Define a helper function to compute MSE, MAE, sMAPE given a sub-DataFrame\n", + "###############################################################################\n", + "def compute_metrics(subdf, forecast_col=\"NHITS\"):\n", + " \"\"\"\n", + " subdf must contain columns ['y', forecast_col].\n", + " Returns a dict with keys: ['MSE','MAE','sMAPE'].\n", + " \"\"\"\n", + " y_true = subdf['y'].values\n", + " y_pred = subdf[forecast_col].values\n", + "\n", + " # MSE\n", + " mse_ = np.mean((y_true - y_pred) ** 2)\n", + "\n", + " # MAE\n", + " mae_ = np.mean(np.abs(y_true - y_pred))\n", + "\n", + " # sMAPE (symmetric MAPE)\n", + " # sMAPE = 2 * |y - y_pred| / (|y| + |y_pred|) * 100\n", + " denom = np.abs(y_true) + np.abs(y_pred)\n", + " smape_ = np.mean(\n", + " np.where(denom != 0, 2.0 * np.abs(y_true - y_pred) / denom, 0)\n", + " ) * 100.0\n", + "\n", + " return {\"MSE\": mse_, \"MAE\": mae_, \"sMAPE\": smape_}\n", + "\n", + "###############################################################################\n", + "# 2) Group your cross-validation DataFrame by (cutoff, unique_id), compute metrics\n", + "###############################################################################\n", + "# Suppose cv_df is your cross-validation DataFrame from nf.cross_validation(...)\n", + "# with columns [unique_id, ds, cutoff, y, NHITS].\n", + "# If your forecast column is \"Autoformer\", rename `forecast_col` below as needed.\n", + "\n", + "forecast_col = \"NHITS\" # or \"AutoNHITS\", \"Autoformer\", etc.\n", + "\n", + "# We'll group by (cutoff, unique_id) so each window & series gets measured individually.\n", + "grouped_metrics = (\n", + " cv_df\n", + " .groupby([\"cutoff\", \"unique_id\"], group_keys=False)\n", + " .apply(lambda sub: pd.Series(compute_metrics(sub, forecast_col=forecast_col)))\n", + " .reset_index()\n", + ")\n", + "\n", + "print(\"=== Cross-validation metrics by (cutoff, unique_id) ===\")\n", + "print(grouped_metrics.head(15)) # show a sample\n", + "\n", + "###############################################################################\n", + "# 3) Optionally, compute summary stats (average) across all windows & series\n", + "###############################################################################\n", + "avg_metrics_all = grouped_metrics[[\"MSE\",\"MAE\",\"sMAPE\"]].mean()\n", + "print(\"\\n=== Overall Average Metrics (all windows, all series) ===\")\n", + "print(avg_metrics_all)\n", + "\n", + "###############################################################################\n", + "# 4) You could also average by cutoff or by unique_id separately\n", + "###############################################################################\n", + "# Example: average errors per cutoff window:\n", + "avg_by_cutoff = grouped_metrics.groupby(\"cutoff\")[[\"MSE\",\"MAE\",\"sMAPE\"]].mean()\n", + "print(\"\\n=== Average Metrics by cutoff (window) ===\")\n", + "print(avg_by_cutoff)\n", + "\n", + "# Example: average errors per series:\n", + "avg_by_uid = grouped_metrics.groupby(\"unique_id\")[[\"MSE\",\"MAE\",\"sMAPE\"]].mean()\n", + "print(\"\\n=== Average Metrics by unique_id (series) ===\")\n", + "print(avg_by_uid)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "j3oztJgj0XnF", + "outputId": "568d263b-734d-4c60-cd9a-604aa0d90860" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "=== Cross-validation metrics by (cutoff, unique_id) ===\n", + " cutoff unique_id MSE MAE sMAPE\n", + "0 2022-11-02 AAPL 25.472292 4.435405 3.107656\n", + "1 2022-11-02 MSFT 278.702688 14.860226 6.527068\n", + "2 2022-11-02 SPY 208.406199 12.520837 3.348175\n", + "3 2022-11-02 TSLA 1004.444775 28.433259 14.177600\n", + "4 2022-11-22 AAPL 56.439599 6.713902 4.585342\n", + "5 2022-11-22 MSFT 22.463797 4.142158 1.692334\n", + "6 2022-11-22 SPY 46.683242 6.124880 1.579422\n", + "7 2022-11-22 TSLA 195.596912 11.824577 6.605739\n", + "8 2022-12-12 AAPL 176.913555 12.055431 8.777120\n", + "9 2022-12-12 MSFT 63.012933 7.367791 3.050028\n", + "10 2022-12-12 SPY 175.360017 12.232722 3.229237\n", + "11 2022-12-12 TSLA 1450.718196 33.427182 22.603184\n", + "\n", + "=== Overall Average Metrics (all windows, all series) ===\n", + "MSE 308.684517\n", + "MAE 12.844864\n", + "sMAPE 6.606909\n", + "dtype: float64\n", + "\n", + "=== Average Metrics by cutoff (window) ===\n", + " MSE MAE sMAPE\n", + "cutoff \n", + "2022-11-02 379.256488 15.062432 6.790125\n", + "2022-11-22 80.295887 7.201379 3.615709\n", + "2022-12-12 466.501175 16.270781 9.414892\n", + "\n", + "=== Average Metrics by unique_id (series) ===\n", + " MSE MAE sMAPE\n", + "unique_id \n", + "AAPL 86.275148 7.734913 5.490039\n", + "MSFT 121.393139 8.790058 3.756477\n", + "SPY 143.483153 10.292813 2.718945\n", + "TSLA 883.586627 24.561672 14.462174\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":43: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " .apply(lambda sub: pd.Series(compute_metrics(sub, forecast_col=forecast_col)))\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# ================== CROSS-VALIDATION VISUALIZATION CELL ==================\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "###############################################################################\n", + "# 1) Helper: compute MSE, MAE, sMAPE for each (cutoff, unique_id)\n", + "###############################################################################\n", + "def compute_metrics(subdf, forecast_col=\"NHITS\"):\n", + " \"\"\"\n", + " subdf must contain ['y', forecast_col].\n", + " Returns a dict with keys ['MSE','MAE','sMAPE'].\n", + " \"\"\"\n", + " y_true = subdf['y'].values\n", + " y_pred = subdf[forecast_col].values\n", + "\n", + " # -- MSE --\n", + " mse_ = np.mean((y_true - y_pred) ** 2)\n", + " # -- MAE --\n", + " mae_ = np.mean(np.abs(y_true - y_pred))\n", + " # -- sMAPE --\n", + " denom = np.abs(y_true) + np.abs(y_pred)\n", + " smape_ = np.mean(\n", + " np.where(denom != 0, 2.0 * np.abs(y_true - y_pred) / denom, 0)\n", + " ) * 100.0\n", + "\n", + " return {\"MSE\": mse_, \"MAE\": mae_, \"sMAPE\": smape_}\n", + "\n", + "###############################################################################\n", + "# 2) Example: compute per-(cutoff, unique_id) metrics from cross-validation df\n", + "###############################################################################\n", + "# - Suppose your cross-validation DataFrame is in `cv_df` with columns:\n", + "# [unique_id, ds, cutoff, y, NHITS, ...]\n", + "# - We'll choose a forecast_col to examine:\n", + "forecast_col = \"NHITS\" # e.g. \"Autoformer\", \"AutoNHITS-median\", etc.\n", + "\n", + "grouped_metrics = (\n", + " cv_df\n", + " .groupby([\"cutoff\", \"unique_id\"], group_keys=False)\n", + " .apply(lambda sub: pd.Series(compute_metrics(sub, forecast_col=forecast_col)))\n", + " .reset_index()\n", + ")\n", + "print(\"=== Cross-validation metrics by (cutoff, unique_id) ===\")\n", + "print(grouped_metrics.head(12))\n", + "\n", + "###############################################################################\n", + "# 3) Simple “buy / sell / hold” logic\n", + "# (just an example, you can adapt thresholds or logic)\n", + "###############################################################################\n", + "def get_signal(row, threshold_up=0.02, threshold_down=-0.02):\n", + " \"\"\"\n", + " Example logic:\n", + " - If forecasted return >= +2% => \"buy\"\n", + " - If forecasted return <= -2% => \"sell\"\n", + " - otherwise => \"hold\"\n", + "\n", + " We'll say 'forecasted return' = (forecast - y) / y\n", + " \"\"\"\n", + " # actual price:\n", + " actual = row[\"y\"]\n", + " # forecast:\n", + " pred = row[forecast_col]\n", + " if actual == 0:\n", + " return \"hold\" # fallback if price = 0\n", + " pct_diff = (pred - actual) / (actual + 1e-9) # avoid div0\n", + " if pct_diff >= threshold_up:\n", + " return \"buy\"\n", + " elif pct_diff <= threshold_down:\n", + " return \"sell\"\n", + " else:\n", + " return \"hold\"\n", + "\n", + "cv_df_copy = cv_df.copy()\n", + "cv_df_copy[\"signal\"] = cv_df_copy.apply(get_signal, axis=1)\n", + "\n", + "###############################################################################\n", + "# 4) Visualization with standard matplotlib markers for buy/sell/hold\n", + "###############################################################################\n", + "# We'll define a small helper to pick marker & color based on the signal:\n", + "def get_marker_and_color(sig):\n", + " \"\"\"\n", + " Returns (marker, color) for buy/sell/hold signals, using only native matplotlib shapes.\n", + " - '^' = triangle_up\n", + " - 'v' = triangle_down\n", + " - 'o' = circle\n", + " \"\"\"\n", + " if sig == \"buy\":\n", + " return \"^\", \"green\"\n", + " elif sig == \"sell\":\n", + " return \"v\", \"red\"\n", + " else:\n", + " return \"o\", \"blue\" # default hold\n", + "\n", + "# Build a grid: rows = unique_ids, columns = cutoffs\n", + "unique_cutoffs = sorted(cv_df_copy['cutoff'].unique())\n", + "unique_ids = sorted(cv_df_copy['unique_id'].unique())\n", + "\n", + "fig, axes = plt.subplots(\n", + " nrows=len(unique_ids),\n", + " ncols=len(unique_cutoffs),\n", + " figsize=(4.5 * len(unique_cutoffs), 3.5 * len(unique_ids)),\n", + " sharex=False,\n", + " sharey=False\n", + ")\n", + "\n", + "# If we have just 1 row or 1 column, fix the shape so indexing is consistent\n", + "if len(unique_ids) == 1 and len(unique_cutoffs) == 1:\n", + " axes = np.array([[axes]])\n", + "elif len(unique_ids) == 1:\n", + " axes = np.array([axes]) # shape => (1, n_cutoffs)\n", + "elif len(unique_cutoffs) == 1:\n", + " axes = np.array([[ax] for ax in axes])# shape => (n_ids, 1)\n", + "\n", + "for i, uid in enumerate(unique_ids):\n", + " for j, cut in enumerate(unique_cutoffs):\n", + " ax = axes[i, j]\n", + " # Filter data for this (uid, cutoff)\n", + " sub = cv_df_copy.loc[\n", + " (cv_df_copy[\"unique_id\"] == uid) & (cv_df_copy[\"cutoff\"] == cut)\n", + " ].copy()\n", + " if sub.empty:\n", + " ax.set_title(f\"{uid} | cutoff={cut}\\n(No data)\")\n", + " ax.axis(\"off\")\n", + " continue\n", + "\n", + " # Sort by ds for neat plotting\n", + " sub.sort_values(\"ds\", inplace=True)\n", + "\n", + " # Plot lines: actual y in black, forecast in dashed red\n", + " ax.plot(sub[\"ds\"], sub[\"y\"], label=\"Actual (y)\", color=\"black\")\n", + " ax.plot(sub[\"ds\"], sub[forecast_col],\n", + " label=f\"Forecast ({forecast_col})\",\n", + " color=\"red\", linestyle=\"--\")\n", + "\n", + " # Overlay signals as scatter points on the forecast line\n", + " for idx, row in sub.iterrows():\n", + " mark, col = get_marker_and_color(row[\"signal\"])\n", + " ax.scatter(x=row[\"ds\"], y=row[forecast_col],\n", + " marker=mark, c=col, s=80, alpha=0.8)\n", + "\n", + " ax.set_title(f\"{uid}\\ncutoff={cut}\")\n", + " ax.legend(fontsize=8, loc='upper left')\n", + " ax.grid(True)\n", + " # Optionally rotate x-ticks\n", + " for label in ax.get_xticklabels():\n", + " label.set_rotation(25)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "# ================== END CELL ==================" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "collapsed": true, + "id": "t-wh3UCz37u4", + "outputId": "c21afc01-2554-4555-9bd7-3dbb3e35caf0" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":40: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + " .apply(lambda sub: pd.Series(compute_metrics(sub, forecast_col=forecast_col)))\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "=== Cross-validation metrics by (cutoff, unique_id) ===\n", + " cutoff unique_id MSE MAE sMAPE\n", + "0 2022-11-02 AAPL 25.472292 4.435405 3.107656\n", + "1 2022-11-02 MSFT 278.702688 14.860226 6.527068\n", + "2 2022-11-02 SPY 208.406199 12.520837 3.348175\n", + "3 2022-11-02 TSLA 1004.444775 28.433259 14.177600\n", + "4 2022-11-22 AAPL 56.439599 6.713902 4.585342\n", + "5 2022-11-22 MSFT 22.463797 4.142158 1.692334\n", + "6 2022-11-22 SPY 46.683242 6.124880 1.579422\n", + "7 2022-11-22 TSLA 195.596912 11.824577 6.605739\n", + "8 2022-12-12 AAPL 176.913555 12.055431 8.777120\n", + "9 2022-12-12 MSFT 63.012933 7.367791 3.050028\n", + "10 2022-12-12 SPY 175.360017 12.232722 3.229237\n", + "11 2022-12-12 TSLA 1450.718196 33.427182 22.603184\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAABTUAAAVtCAYAAAAiVKoPAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3Xd8E/UbwPFP0nTTUgqlpewle8gG8ceQvWQvRRAEURBBQMUFiCCKAspGERTLEBRFqCyRobKH7L07oFA66Egz7vfH0bShaZsuGuB5v155tbl87+65S5sn973v0CiKoiCEEEIIIYQQQgghhBCPCG1+ByCEEEIIIYQQQgghhBBZIZWaQgghhBBCCCGEEEKIR4pUagohhBBCCCGEEEIIIR4pUqkphBBCCCGEEEIIIYR4pEilphBCCCGEEEIIIYQQ4pEilZpCCCGEEEIIIYQQQohHilRqCiGEEEIIIYQQQgghHilSqSmEEEIIIYQQQgghhHikSKWmEEIIIYQQQgghhBDikSKVmkIIIYQQQgghhBBCiEeKVGoK4SDmz5+PRqOhYcOGmZZ9++230Wg09OnTx+brV65cQaPRWB5OTk6UKlWKbt26cfToUauyGo2GkSNH5sYhCCGEEHaTvCeEEOJJInlPiNyny+8AhBCqoKAgypQpw/79+7lw4QIVKlSwWU5RFFauXEmZMmX4/fffiY2NxcvLy2bZfv360aFDB0wmE6dPn2bBggX88ccf7N27l9q1a+fh0QghhBAZk7wnhBDiSSJ5T4jcJy01hXAAly9f5t9//2XmzJn4+fkRFBSUbtkdO3Zw48YNvvvuO4xGI7/88ku6ZevUqcOLL77IwIEDmT59Oj/++CN6vZ4FCxbkxWEIIYQQdpG8J4QQ4kkieU+IvCGVmkI4gKCgIAoVKkTHjh3p2bNnhkkuKCiIqlWr0qJFC1q1apVh2Qe1bNkSUJOqEEIIkV8k7wkhhHiSSN4TIm9IpaYQDiAoKIju3bvj4uJCv379OH/+PAcOHEhTTq/X8/PPP9OvXz9A7W6wfft2wsPD7drPxYsXAShcuHDuBS+EEEJkkeQ9IYQQTxLJe0LkDanUFCKfHTp0iDNnztC3b18AmjZtSokSJWzekduwYQNRUVGWsl27dsXZ2ZlVq1bZ3HZ8fDy3b9/m5s2b7Ny5k0GDBgHQq1evvDkYIYQQIhOS94QQQjxJJO8JkXekUlOIfBYUFIS/vz8tWrQAsMxyt2rVKkwmU5qy9erVswwq7eXlRceOHdPtkjBx4kT8/PwICAigefPmXLx4kc8++4zu3bvn7UEJIYQQ6ZC8J4QQ4kkieU+IvCOznwuRj0wmE6tWraJFixZW4540bNiQL7/8kj///JM2bdoAEBUVRXBwMCNHjuTChQuWss888ww///wz586d46mnnrLa/rBhw+jVqxdarRYfHx+qVauGq6vrwzk4IYQQ4gGS94QQQjxJJO8JkbekUlOIfLR9+3bCwsJYtWqVzS4FQUFBliS3Zs0a9Ho9X375JV9++aXNspMnT7ZaVrFiRVq1apU3wQshhBBZJHlPCCHEk0TynhB5Syo1hchHQUFBFC1alHnz5qV57ZdffmHdunUsXLgQd3d3goKCqF69OhMnTkxTdtGiRaxYsSJNkhNCCCEcieQ9IYQQTxLJe0LkLanUFCKfJCQk8Msvv9CrVy969uyZ5vXAwEBWrlzJ+vXradKkCbt27WLy5Mk2yyYlJfHCCy+wb98+GjZs+DDCF0IIIbJE8p4QQognieQ9IfKeVGoKkU/Wr19PbGwsXbp0sfl6o0aN8PPzIygoiCtXrqAoSrplO3TogE6nIygoKFtJ7uDBg3zyySdpljdv3pymTZtmeXtCCCHEgyTvCSGEeJJI3hMi70mlphD5JCgoCDc3N1q3bm3zda1Wa5np7vLly5QqVYpatWrZLOvj40PTpk1ZvXo1M2fOzHIs+/btY9++fWmWT5kyRZKcEEKIXCF5TwghxJNE8p4QeU+jKIqS30EIIYQQQgghhBBCCCGEvbT5HYAQQgghhBBCCCGEEEJkhVRqCiGEEEIIIYQQQgghHilSqSmEEEIIIYQQQgghhHikSKWmEEIIIYQQQgghhBDikSKVmkIIIYQQQgghhBBCiEeKVGoKIYQQQgghhBBCCCEeKVKpKRzKzZs36dmzJ4ULF0aj0TB79mwAzp8/T5s2bShYsCAajYZff/01X+MUQgghckpynhBCiCeJ5D0hRG6TSk2Ra+bPn8+yZctytI0xY8awefNmJkyYwPLly2nXrh0AAwcO5Pjx40ydOpXly5dTr169bO/jzz//ZPDgwTz11FN4eHhQrlw5XnnlFcLCwmyW//fff2natCkeHh4EBAQwatQo7t27Z1XmwIEDjBw5kmrVquHp6UmpUqXo3bs3586dsypnNptZtmwZXbp0oWTJknh6elK9enU++eQTEhMT7T6GqVOn0qVLF/z9/dFoNEyaNMlmubNnzzJmzBiaNGmCm5sbGo2GK1eu2L2fZEuWLKFKlSq4ublRsWJF5syZk6bML7/8Qp8+fShXrhweHh5UqlSJsWPHEhUVZfd+Tp8+Tbt27ShQoAC+vr4MGDCAiIiINOXMZjOff/45ZcuWxc3NjZo1a7Jy5cosHdP69eupU6cObm5ulCpViokTJ2I0GtOUi4qKYtiwYfj5+eHp6UmLFi04fPiw3fvJSqz2Hr8QIv9Jznv8ct7169eZPHkyDRo0oFChQhQpUoTmzZuzbdu2NGWzel5tCQkJoXfv3vj4+ODt7c3zzz/PpUuXbJa1Jw9nxJ73FUCv1/POO+8QGBiIu7s7DRs2ZOvWrVnal72xZuX4hRD5T/Ke4+W93Lj+WrBgAb169aJUqVJoNBoGDRpks5zkvfRJ3stnihC5pFq1akqzZs1ytA1/f3/lhRdesFoWHx+vAMr777+fo20nq1u3rlK2bFnl7bffVr755htlwoQJipeXl+Lv76+EhYVZlT1y5Iji5uamPP3008qCBQuU999/X3F1dVXatWtnVa5Hjx5KQECA8sYbbyjffPONMmXKFMXf31/x9PRUjh8/bikXGxurAEqjRo2UTz75RFm8eLHy8ssvK1qtVmnevLliNpvtOgZACQgIUNq2basAysSJE22WW7p0qaLVapXq1asrtWvXVgDl8uXLWTpfCxcuVAClR48eyuLFi5UBAwYogDJ9+nSrcoULF1Zq1KihfPjhh8o333yjjBo1SnFxcVEqV66sxMfHZ7qf69evK0WKFFHKly+vfPXVV8rUqVOVQoUKKbVq1VL0er1V2XfffVcBlKFDhyqLFy9WOnbsqADKypUr7Tqm4OBgRaPRKC1atFAWL16svPHGG4pWq1WGDx9uVc5kMilNmjRRPD09lUmTJilz585Vqlatqnh5eSnnzp2za1/2xpqV4xdC5D/JeY9fzpszZ47i7u6u9OvXT5k7d64ye/ZspU6dOgqgfPfdd1Zls3JebYmNjVUqVqyoFC1aVPnss8+UmTNnKiVLllRKlCih3L5926qsvXk4Pfa+r4qiKH379lV0Op0ybtw4ZdGiRUrjxo0VnU6n7N6926592RtrVo5fCOEYJO85Xt7L6fWXoihK6dKlFV9fX6Vdu3aKTqdTBg4caLOc5D3bJO/lP6nUFLkmNxKdRqNRRowYYbXs6tWrCqDMmDEjR9tOtnPnTsVkMqVZZiuZtm/fXilWrJgSHR1tWfbNN98ogLJ582bLsn/++SdNxdO5c+cUV1dXq8St1+uVf/75J01MkydPVgBl69atdh1D8kVaREREhonuzp07SkxMjKIoijJjxowsX+DFx8crhQsXVjp27Gi1/IUXXlA8PT2VyMhIy7K//vorzfrff/+9AijffPNNpvt67bXXFHd3d+Xq1auWZVu3blUAZdGiRZZlN27cUJydna3+Tsxms/Lss88qJUqUUIxGY6b7qlq1qlKrVi3FYDBYlr3//vuKRqNRTp8+bVm2evVqBVDWrFljWXbr1i3Fx8dH6devX6b7yUqs9h6/EMIxSM57/HLeiRMnlIiICKtliYmJSuXKlZUSJUpYLc/KebXls88+UwBl//79lmWnT59WnJyclAkTJliWZSUPp8fe93Xfvn1p/vYSEhKU8uXLK40bN850P1mJ1d7jF0I4Dsl7jpf3cnr9pSiKcuXKFUtlq6enZ7qVmpL30pK85xikUvMJd+PGDWXw4MFKsWLFFBcXF6VMmTLK8OHDLR/aEydOVGw16F26dKnVxULp0qUVwOqROuldvHhR6dmzp1KoUCHF3d1dadiwobJhw4Y023vwkbz/1I/SpUvnybnw9fVVunfvbnkeHR2t6HQ6Zfz48Vbl9Hq9UqBAAWXIkCGZbrNOnTpKnTp1Mi137NgxBVC+/vrrLMWcWaJLLTsXeBs3blQAZePGjVbL//33XwVQli9fnuH6MTExCqC89dZbme6raNGiSq9evdIsf+qpp5TnnnvO8nzevHkKoJw8edKq3IoVKxTA6q5aVFSUcvr0aSUqKsqy7OTJkwqgzJs3z2r9kJAQBVCmTJliWdarVy/F398/TQIfNmyY4uHhoSQmJlqWhYaGKqdPn1aSkpKyFau9xy+EyD7JeSkk59nvrbfeUgBLhWlGHjyv6alfv75Sv379NMvbtGmjlC9f3vI8K3k4Li5OOX36tFXFbFbe1/HjxytOTk5WF4GKoijTpk1TAOXatWuWZREREcrp06eVuLi4bMVq7/ELIXJG8l6Kxz3vJcvK9deDMqrUTI/kPcl7+U3G1HyChYaG0qBBA1atWkWfPn34+uuvGTBgADt37iQ+Pj5L25o9ezYlSpSgcuXKLF++nOXLl/P+++8D6oDQTZo0YfPmzbz++utMnTqVxMREunTpwrp16wD43//+x/LlywFo3bq1ZRvdu3dn1qxZAPTr14/ly5dbBpQ2GAzcvn3brofZbM4w/nv37nHv3j2KFCliWXb8+HGMRmOaMV1cXFyoXbs2R44cyXCbiqJw8+ZNq22mJzw8HMCusg9T8jE+eA7q1q2LVqvN9BzYe1whISHcunXL5vg5DRo0sNrPkSNH8PT0pEqVKmnKpY4ZYN26dVSpUsXyd5bRMQUGBlKiRIk0+6pTpw5arfVHZYMGDYiPj7caR2fChAlUqVKFkJCQLMealeMXQmSP5LwUkvOyJjw8HA8PDzw8PDIsZ+u82mI2mzl27Fi6n/kXL14kNjYWyFoe3r9/P1WqVGHu3LmWZVl5X48cOcJTTz2Ft7d3mpgAjh49alk2d+5cqlSpwv79+63WtyfWrBy/ECL7JO+leJLy3sPcl+Q9yXuOQJffAYj8M2HCBMLDw9m3b5/VP9jHH3+MoihZ2lbXrl354IMPKFKkCC+++KLVa9OnT+fmzZvs3r2bpk2bAjB06FBq1qzJW2+9xfPPP0+5cuUoV64cAwYM4KmnnrLahre3N2PGjKFOnTpWy//55x9atGhhV3yXL1+mTJky6b4+e/ZskpKS6NOnj2VZ8qDHxYoVS1O+WLFi7N69O8N9BgUFERISwscff5xpfJ9//jne3t60b98+07IPU1hYGE5OThQtWtRquYuLC4ULFyY0NDTD9T/77DOcnJzo2bNnpvuB9M91ZGQker0eV1dXwsLCLINmP1gOyDSmzPaVev2wsDD+97//2SyXvK8aNWpkuC97Ys3K8QshskdyXgrJefa7cOECv/zyC7169cLJySnDsrbOqy3Jn+npnWtQ80OlSpVynIez8r6GhYVlGlNm+7In1qwcvxAi+yTvpXiS8p6911+5QfKe5D1HIJWaTyiz2cyvv/5K586dbd4xeLASJieCg4Np0KCBJckBFChQgGHDhjFhwgROnTpF9erVs7zdWrVq2T0zWUBAQLqv7dq1i8mTJ9O7d29atmxpWZ6QkABgsyLJzc3N8rotZ86cYcSIETRu3JiBAwdmGNu0adPYtm0b8+fPx8fHJ5MjebgSEhJwcXGx+Vpm52DFihUsWbKEt99+m4oVK2a6H0j/XCeXcXV1tfzMqFyyQYMGpZnBL7N9xcTEWJW1d1/Lli1LMyOkvetn5fiFEFknOS+F5Dz7xcfH06tXL9zd3Zk+fXqGZdM7r7bY+5mf/NPePNy8efM0FRVZeV+zkvMmTZqUZjZee2PNyvELIbJH8l6KJynvZeX6K6ck70necxRSqfmEioiIICYmJlsJJquuXr1Kw4YN0yxP7pJ79erVbMVRqFAhWrVqlaPYzpw5Q7du3ahevTrffvut1Wvu7u4A6PX6NOslJiZaXn9QeHg4HTt2pGDBgqxduzbDlh2rV6/mgw8+YMiQIbz22mtptpNawYIF091nTkVERGAymSzPCxQoQIECBXB3dycpKcnmOhmdg927dzNkyBDatm3L1KlTM91/Zuc6dRl3d3e7ymV3X6nXz4192XtMGcVkz76EEOmTnKeSnKdKL+elZjKZ6Nu3L6dOneKPP/4gMDAw3e1ldF5tyWrOy04etndfuZ3z7IlVcp4QeU/ynupJynsZXX/Zk/eyQvJeyvqS9/KfVGqKDKV3Fy/1h2J+SUpKIjIy0q6yfn5+aRLO9evXadOmDQULFiQ4OBgvLy+r15Obgic3YU8tLCzM5gVOdHQ07du3Jyoqit27d2d4EbR161ZeeuklOnbsyMKFC9O8/mDz9KVLl6ZpdZhb6tevz9WrVy3PJ06cyKRJkyhWrBgmk4lbt25ZNatPSkrizp07No/vv//+o0uXLlSvXp21a9ei02X+MZPZufb19bXc2SpWrBh//fUXiqJY/X0mr5vROX9wXyVLlkyzr+QxVJLLpheTvfuyJ9asHL8QIu9Iznuyc15qQ4cOZcOGDQQFBWXYAiWz82pL8me6PfklO3k4tay8r8WKFbMaFzq9mDLalz2xZuX4hRB5S/Le45H3Mrv+sifv2UvynvW+JO/lP6nUfEL5+fnh7e3NiRMnMixXqFAhAKKioqyay6f+UEyWXlIsXbo0Z8+eTbP8zJkzltez499//832OCt37tyhTZs26PV6/vzzT5vjW1SvXh2dTsfBgwfp3bu3ZXlSUhJHjx61WgbqXZbOnTtz7tw5tm3bRtWqVdONZ9++fXTr1o169erx008/2az4e7C7RbVq1ew61uwICgqyavJerlw5AGrXrg3AwYMH6dChg+X1gwcPYjabLa8nu3jxIu3ataNo0aIEBwfbfQewePHi+Pn5cfDgwTSv7d+/32o/tWvX5ttvv+X06dNW53jfvn1WMacn9TGlrsAMDQ3lxo0bDBs2zKrs7t27MZvNVpMF7du3Dw8PD5566qlM92VPrFk5fiFE1knOk5yXWno5L9n48eNZunQps2fPpl+/fulux57zaotWq6VGjRo2P/P37dtHuXLlLBeJWc3DD8rK+1q7dm3++usvYmJirCZNyE5+zSjWrBy/ECJ7JO89OXnPnuuvzPKevSTvWZO85yDya9p1kf9eeuklRavVKgcOHEjzmtlsVhRFUTZs2KAAym+//WZ57d69e0qpUqUUQLl8+bJlecOGDZVatWql2dbo0aMVQPn333+ttlGuXDmlTJkyislksiwHlBEjRlitf/nyZQVQZsyYYbU8MjJS2bp1q12PhIQEq303aNBA8fLyUg4ePJjhOWrXrp1SrFgxJSYmxrLs22+/VQDljz/+sCwzGo1Kly5dFJ1Op2zcuDHDbZ46dUopXLiwUq1aNSUyMjLDspmJiIhQAGXixImZlp0xY0aa9ywz8fHxiq+vr9KpUyer5S+++KLi4eGh3Llzx7IsLCxMKVeunBIYGJilfSQbPny44u7urly7ds2ybNu2bQqgLFiwwLLs+vXrirOzs9XfidlsVp599lmlePHiitFotCyPiopSTp8+rURFRVntq3LlykqtWrWsyn7wwQeKRqNRTp06ZVm2atUqBVDWrFljWRYREaH4+Pgoffr0sdpmaGiocvr0aSUpKSlbsdp7/EKI7JGcJznPHp9//rkCKO+9916G5bJyXm2ZPn26Alj9PZ45c0ZxcnJS3nnnHcuyrOThuLg45fTp00pERIRVWXvf171796b520tMTFQqVKigNGzY0GqbERERyunTp5W4uLhsxWrv8Qshsk/y3uOf93J6/fUgT09PZeDAgTZfk7wnec9RaRQli1OficdGSEgI9erVIyYmhmHDhlGlShXCwsJYs2YNf//9Nz4+PhgMBipUqEB8fDzjx4/HycmJ7777Dnd3dw4dOmR1V2zEiBEsWLCAjz/+mAoVKlC0aFFatmzJzZs3qVWrFomJiYwaNQpfX1++//57/vvvP37++We6detmiUmj0TBixAjmzp1rWXblyhXKli3LjBkzGDduXI6Pu2vXrvz2228MHjw4zd2/AgUK0LVrV8vzw4cP06RJE6pWrcqwYcO4ceMGX375Jf/73//YvHmzpdzo0aP56quv6Ny5c5q7eoBlJr/Y2FiqVatGSEgI06ZNo3jx4lblypcvT+PGjTM9huXLl3P16lXi4+P59NNPadGihaV73IABAyx3RKOjo5kzZw6gziC4adMmxo4di4+PDz4+PowcOTLTfc2fP58RI0bQs2dP2rZty+7du/nhhx+YOnUq7733nqVc7dq1+e+//3j77bfTzAju7+9P69atM9zP9evXefrpp/Hx8eHNN9/k3r17zJgxgxIlSnDgwAGr7tdvv/02M2bMYNiwYdSvX59ff/2VjRs3EhQURP/+/S3lli1bxssvv5ymO8eGDRvo0qULLVq0oG/fvpw4cYK5c+cyZMgQFi9ebClnMplo2rQpJ06cYPz48RQpUoT58+dz7do1Dhw4YDVD3aBBg/j+++/T3Cm2N9asHL8QIusk50nOyyznrVu3ju7du1OxYkU++uijNK+3bt0af39/IGvn1ZbY2FiefvppYmNjGTduHM7OzsycOROTycTRo0fx8/OzlLU3D+/YsYMWLVqk6VZo7/sK0Lt3b9atW8eYMWOoUKEC33//Pfv37+fPP//kf//7n6XcpEmTmDx5Mn/99RfNmzfPcqxZOX4hRPZI3nv8815Or78Afv/9d/777z8ApkyZQrVq1ejevTsAXbp0oWbNmoDkPcl7Diy/a1VF/rp69ary0ksvKX5+foqrq6tSrlw5ZcSIEYper7eUOXTokNKwYUPFxcVFKVWqlDJz5kxl6dKlae7ehYeHKx07dlS8vLwUQGnWrJnltYsXLyo9e/ZUfHx8FDc3N6VBgwbKhg0b0sRDFu7eZVfp0qUVwOajdOnSacrv3r1badKkieLm5qb4+fkpI0aMsLrroyiK0qxZs3S3mfrfLPlY0nukd2fsQRnt76+//rJrf7aONT2LFy9WKlWqpLi4uCjly5dXZs2aZbnDmyyj40r9t5CREydOKG3atFE8PDwUHx8f5YUXXlDCw8PTlDOZTMq0adOU0qVLKy4uLkq1atWUH3/8MU255L/TpUuXpnlt3bp1Su3atRVXV1elRIkSygcffGDVyjJZZGSkMmTIEKVw4cKKh4eH0qxZM5t3vAcOHGizVZC9sWbl+IUQ2SM5T3JeRiZOnJhhvKn3ldXzasv169eVnj17Kt7e3kqBAgWUTp06KefPn7dZ1p48/Ndff6Xbosee91VRFCUhIUEZN26cEhAQoLi6uir169dXNm3alO65Sn1OshJrVo9fCJE9kvce77yXG9dfydcwth6pr6Ek70nec1TSUlMIIYQQQgghhBBCCPFI0WZeRAghhBBCCCGEEEIIIRyHVGoKIYQQQgghhBBCCCEeKVKpKYQQQgghhBBCCCGEeKRIpaYQQgiRi3bt2kXnzp0JDAxEo9Hw66+/Wr0+aNAgNBqN1aNdu3aW169cucKQIUMoW7Ys7u7ulC9fnokTJ5KUlPSQj0QIIYQQQgghHJcuvwMQQgghHidxcXHUqlWLwYMH0717d5tl2rVrx9KlSy3PXV1dLb+fOXMGs9nMokWLqFChAidOnGDo0KHExcXxxRdf5Hn8QgghhBBCCPEoeGJmPzebzYSGhuLl5YVGo8nvcIQQQmSDoijExsYSGBiIVuv4nQ00Gg3r1q2ja9eulmWDBg0iKioqTQvOjMyYMYMFCxZw6dIlu9eRvCeEEI++Ry3v5RfJeUII8ejLTs57YlpqhoaGUrJkyfwOQwghRC64fv06JUqUyO8wsm3Hjh0ULVqUQoUK0bJlSz755BMKFy6cbvno6Gh8fX0z3KZer0ev11ueh4SEULVq1VyLWQghRP551PNeXpNrPSGEeHxkJec9MZWaXl5egHpyvL29s7UNg8HAli1baNOmDc7OzrkZ3iMfjyPF4mjxOFIsjhaPI8XiaPE4UiyOFE9MTAwlS5a0fKY/itq1a0f37t0pW7YsFy9e5L333qN9+/bs2bMHJyenNOUvXLjAnDlzMu16/umnnzJ58uQ0y7/99ls8PDxyLX4hhBAPT3x8PK+88sojnfcehsfxWu9BEl/2OXJsIPHlhCPHBhJfVmXnWu+JqdRM7obg7e2do0Tn4eGBt7e3Q7zhjhSPI8XiaPE4UiyOFo8jxeJo8ThSLI4Yz6Pctaxv376W32vUqEHNmjUpX748O3bs4LnnnrMqGxISQrt27ejVqxdDhw7NcLsTJkzgrbfesjxP/lLQtWvXHOW9rVu30rp163x/3x0pFkeLx5FicbR4HCkWR4vHkWJxtHgcKZaYmBheeeWVRzrvPQyP47XegyS+7HPk2EDiywlHjg0kvuzKSs7LcqXmrl27mDFjBocOHSIsLMzmWGHff/+91Tpt27Zl06ZNlueRkZG88cYb/P7772i1Wnr06MFXX31FgQIF0t1vYmIiY8eOZdWqVej1etq2bcv8+fPx9/fP6iEIIYQQDqNcuXIUKVKECxcuWFVqhoaG0qJFC5o0acLixYsz3Y6rq6vVhEPJnJ2dc/wlJTe2kVscKRZwrHgcKRZwrHgcKRZwrHgcKRZwrHgcIZb83r8QQgjhyLI82nTyrK7z5s1Lt0y7du0ICwuzPFauXGn1+gsvvMDJkyfZunUrGzZsYNeuXQwbNizD/Y4ZM4bff/+dNWvWsHPnTkJDQ9OdVVYIIYR4VNy4cYM7d+5QrFgxy7KQkBCaN29O3bp1Wbp0qUwOIYQQjyCzYuZg6EHMijm/QxFCCCHyVH7lvCy31Gzfvj3t27fPsIyrqysBAQE2Xzt9+jSbNm3iwIED1KtXD4A5c+bQoUMHvvjiCwIDA9OsEx0dzZIlS1ixYgUtW7YEYOnSpVSpUoW9e/fSqFGjrB5GGiaTCYPBkGEZg8GATqcjMTERk8mU433mlCPF40ix5DQeZ2dnm+PaCSGEPe7du8eFCxcszy9fvszRo0fx9fXF19eXyZMn06NHDwICArh48SJvv/02FSpUoG3btkBKhWbp0qX54osviIiIsGwrvdyaVYqiYDQaM/18dKTPdkeKxdHiyUksTk5O6HQ66doq8l3yRdDjVAG44dwG3t32LtNbTadLpS75Hc4T7VG81nuQxJd9ybHp9Xq0Wq1c6wlxX27m3vzKeXkypmZGs7ru2bMHHx8fS4UmQKtWrdBqtezbt49u3bql2d6hQ4cwGAy0atXKsqxy5cqUKlWKPXv22KzUfHAW2JiYGED9QHswocXFxREWFoaiKBkel6IoBAQEcO3aNYf48u9I8ThSLDmNR6PRUKxYMTw9PXMlluS/t8y+SD0sjhSPI8UCjhWPI8UCjhNPfu/fHgcPHqRFixaW58njXA4cOJAFCxZw7Ngxvv/+e6KioggMDKRNmzZMmTLF0nV869atXLhwgQsXLqSZ9S+zPGWPpKQkwsLCiI+Pz7Rs8mfp9evX8/2z3ZFicbR4chqLh4cHxYoVw8XFJQ+iE8I+my5ssvx8vurz+RxNzhnNRubun8v1mOvMOzCPDhU7oNM+MdMZOJR79+5x48YNu6/1HOFz3RaJL/tSXxtqtVpKlCiR4dB3Qjwpciv35mfOy/W9ZDara3h4OEWLFrUOQqfD19eX8PBwm9sMDw/HxcUFHx8fq+X+/v7prpPeLLBbtmyxmgVWo9Hg7++Pr68v3t7eDvcBLB4uRVGIiYnh7Nmz3Lx5M1cqEJJt3bo117aVGxwpHkeKBRwrHkeKBfI/Hnsq4vJb8+bNM/zs2Lx5c4brDxo0iEGDBuVyVCqz2czly5dxcnIiMDAQFxeXDPOe2Wzm3r17FChQIN+7wDtSLI4WT3ZjURSFpKQkIiIiuHz5MhUrVsz3YxFPJqPZyOJDixnmPYxvDn9Dx8odH/kKwODzwZyMOEmAZwAnbp0g+HywtNbMByaTiRs3buDh4YGfn98jk/NskfiyLzk2T09P7ty5w40bN6hYsaK02BSPHLNi5nDYYeoUq4NWk7P/s9zMvfmZ83L920JWZnXNS+nNAtumTRurGfH0ej3Xrl0jMDAQd3f3DLepKAqxsbF4eXk5ROWnI8XjSLHkNJ4CBQpgMBioVq2azUk3ssqRZtB0tHgcKRZHi8eRYnGkeJJb3YvsSUpKwmw2U7JkSasbfOkxm80kJSXh5uaW7xcojhSLo8WTk1jc3d1xdnbm6tWrlm0I8bAFnw/mzO0z4A2nI04/8hWAyS1WFEWhoFtB4mLjpLVmPjEYDCiKgp+fX6bXeo70uW6LxJd9ybG5u7vj5+fHlStXMBgMUqkpHjm52cU7t3Jvfue8PN/Dg7O6BgQEcOvWLasyRqORyMjIdMcKCwgIICkpiaioKKvWmjdv3kx3HXtngTWZTGg0GpycnDL98DWb1XEGNBqNQ3xQO1I8jhQL5CweJycnNBoNOp0uVytvHGEGzdQcKR5HigVyFk9yt+E2bdrkyv/C43Rucmv/Iucc4XNaOA75exA5kdNWI6kvhkC9Me3QFYB6PSQkQGKi+ntiovXj2WctLVbqRXkQ6gW+7r7SWjOfOUKjC+EY5G9BPKpys4t3jnKvXg+xsZbH3pN/4Lf7EH3NHpwrryex4MPNeXn+TeHBWV0bN25MVFQUhw4dom7dugBs374ds9lMw4YNbW6jbt26ODs78+eff9KjRw8Azp49y7Vr12jcuHFeH4IQQmTIaDTy+++/s2DBAkv37C5duvDDDz9QsGDBfI5OCCGEyDs5bTVi6bLmrjZUKOReKP2LoaQktULRVmWi2Qypx9nfvBmuX09bTq8HRYEvvkgpO2kS/PuvpYwuMZHn7txBp9Op+wwNheSKkP794Zdf0j0eY2y05UKx+Vk9K0qCm87N8StrhRBC5LrcnIgn17p46/VsPrHOknt1cXG8uVuPcu9frm3pRjmdn1WlJZ07w7vvquvevAkPNCxsev8BkXz0so7wRoUfas7L8tZzOqtrlSpVaNeuHUOHDmXhwoUYDAZGjhxJ3759LTOfh4SE8Nxzz/HDDz/QoEEDChYsyJAhQ3jrrbcsY1++8cYbNG7cOFdmPndEsbGxFCtWjD59+rBkyZJMy+/YsYPExETatWuXo/1euXKF2rVrExUVZfP1//77j/fee4+NGzdmuJ0NGzawfv16Fi9enKN4hHBkYWFhfPPNNyxevJiQkBAASyvf9evX06BBA9atW0fVqlXzOVIhHJ/kPSEePTltNWI0Gzky70M+/C+aurfiqGAaz6qEEDR6PQU+7YNSqgqaQ4dTVnj2Wdi/3/bGChWCyMiU559/Dtu32y7r7GxdqXnkCKQaM1oDWE0hYjBA8kRayUM0aDTq725u4Opq+X3LmY2cjDiJr7svoYUTLJuQ1poitezkvPj4eJo0aZKj/UrOE+Lhyu2JeOzu4n3vHmzapN7cu3bN+md4OPHtS6M8p+Cqc8VJr+fNX0Pvr7gh7bYqVkz5PfUEW+7u6D1cCOUeie7OJLjpiPFQh3R4mDkvy5WaOZ3VFSAoKIiRI0fy3HPPodVq6dGjB19//bXldYPBwNmzZ60mhJg1a5alrF6vp23btsyfPz9bB50eRVEynITCbDYTFxdnV1f19Hh4eNjV5H316tXUrVuXX375ha+++irT2dl27NhBVFRUji/uMjNhwgQmTJiQablOnToxceJEzp8/T8XU/wRCPOIURWHHjh3Mnz+fX3/9FaPRCICfnx9Dhgzh1VdfJSIigh49enDu3DkaNGjAsmXL6NmzZz5HLkRakvcyJ3lPiPRlqdVIdDQcOKBeVA0ebFm/19pTVA0zJheikGUFE3rzJawGk0o95usDlYk8MKEoTZqoF1+py6SuhFSUlNaXb74JvXpZXjfqdOw5coTGzZujK1AAdKkumZYsgaVL1YrRBz7bjGYjs4M6oCgKbjo3djydEq+01sx/DyPngX15Lzs57+7duzmu1MyM5Dwhck9eTMRTioKUDkmgQYQz3nv2cWl3P56Kd1Nza/v2KS0qY2LUvJYOXfgtfN3LAWDw9GRjYz+iXExE6pJ4rmY3qpZrAF5e6qN8+ZQVPTzg7l0oUACjFjoHdeDErRMEegVabf9h5rwsbzmns7oC+Pr6smLFinRfL1OmTJp9uLm5MW/ePObNm2d/sFkUHx+faULJqeRZ1zKzZMkSPvzwQxYtWsTq1asZMmQIANHR0YwdO5a9e/fi5OREjRo1eOutt1i4cCEmk4kdO3bQvXt3XnrpJau7cPfu3cPLy8tyXl944QXOnj1LUlISJUuWZMmSJemOT5rs2rVrnDx5kmeffRaAkSNHEhgYyHvvvQfA+fPn6d69O5cvX0an09G7d2++/fZbPvvss+yeLiEcRlRUFD/88AMLFizgzJkzluVNmzbltddeo0ePHpabN2XKlOHQoUP06dOHv/76i169evH2228zdepUtSubEA7iUct7APXr1+fNN9+UvCdEPsuw1YhJgePHYd++lEdy7nRxgRdfxKjTMnf/XJo/7c6Jp9w4X8ab54r3YWX8OuKdTIQY7lAi4Cnmm40pF0PBwWoFo4tLmgrFNKZMsf9gWra0eqoYDETq9Sj16qmVl6llMJlW8kWnr7uvzdeltWb+ehg5D+zLe/Ze69WtW5dRo0ZZct727dvp2bMnAwcOfOg57+zZs7Rq1UpynhB2yvZEPNHRcOECnD8P/v4Ymz3L3P1zKXbXyN5PzjxQeG3Kr/7+Kb8HBEDTplC8OJQsCaVKQcmSGEsE0nf/2/wbf5ZAnZrPzK6ufPpyBZKUJEJjQ9ngf5ON/YfbrojUaCw3EYPPrneInCdX1w7o1KlTXL9+nbZt22I0Gpk+fbol0Y0ePRp3d3eOHTsGwKVLlyhXrhzDhw8nKiqK2bNnA2rXgozMnj0bPz8/AKZPn86kSZNYuHBhhuvs3LmT+vXrW56/8cYbtG3blnfeeQeNRsOSJUsYOnSopdKmcePGVjPQC/EoOnz4MPPnz2flypWWu/sFChRgwIABvPbaa9SoUcPmen5+fmzZsoUJEybwxRdf8Pnnn3P48GFWrlxJkSJFHuYhCOHw7Ml7R48e5d69e+j1evz9/SXviSdWTifmSb2d1D+zylKB51aIYrf1JBZMNRbmhz/CmjVpVypbFho0gOhogiP3cDLiJKEdS+Gmc8NF40L1og04cOsvkpQkEo3O/Jd41fpiyI4bJPkldSWvm852xefj2lpz165dzJgxg0OHDhEWFsa6devo2rWrzbLDhw9n0aJFzJo1i9GjR1uWlylThqtXr1qV/fTTT3k3udXRY8Teaz2tVktERAR+fn4MHz6cu3fvMnnyZLy9vbl27VqG+8jtnOfk5MT8+fMZNmyY5LwnUG6OC/mksHsinoQEmDlTrcBMfkREpLzeqxfBgbFqvvUvQqJzBIkuWm76uhDio+Oqt4mGjXtRtW47SD3kmVYLu3eniSv47Hr2JJ7H16OwzbjtrYh0pJz3eGTSXOLh4cG9e/fSfd1sNhMTE4O3t3eOuuFlZsmSJbz00ks4OTnRoUMHXn31VU6fPk2VKlXYsGED+/btQ6vVYjabs105smLFCpYvX05iYiKJiYl2befGjRv4p6r9r1SpElWrVuW3336jdevW/Pzzz5bKVlBnrb9x40a24hMiPyUkJLBixQrmz5/P/lRjd9WoUYPXXnuNF198ES8vr0y3o9PpmDFjBvXq1WPw4MFs27aNevXq8csvv1CnTp28PAQh7PKo5T3AcpGWVZL3xOMipxPzJMv2OF+KgvHMKS5//g7zj0byzKVbFIkx0mVqdQ66qhcvHes0x2nLFrUCs2FD9dGgARQtCty/GNrkGBdDuSWzVprJHsfWmnFxcdSqVYvBgwfTvXv3dMutW7eOvXv3WuZReNDHH3/M0KFDLc/t+a6VFQ8j5yXvJyOPYs5r27YtK1eu5Pjx45bXJec9OXJrXMgnyfbdP5B0/CjP4ktg2N+8dU6PX9huomfVpHCjFpDcA9nFBT7+WJ2ULjV/f6hYEVPVKpbKQ1cXd56bWRu9S8rnU2hsKDX8w9jYu2emeTI3KyIdKec59reDh0yj0WTYVcBsNmMymfD09MxRosuIwWBg+fLlODs7W7rox8fHs2TJEr5IPaB5JnQ6HSaTyfI8MTHR8vvff//N119/zZ49eyhatCjr16/no48+ynSbHh4eVtsBePPNN/nss8+4efMmzZs3t0qEiYmJuLu72x2zEPntwoULLF26lMGDBxN5f7IBZ2dnevXqxWuvvcYzzzxj19iAD+rTpw/VqlWjW7duXLhwgWeeeYaFCxcycODA3D4EIbJE8l7GJO+J3JbT1i45nZgn9XayPM7XP/+oF2E7dqALC+PN1NvTQunwRC5VVi9e/ugwlE5vR6otRWxwpIuh3GDPhWKyR62y1h7t27enffv2GZYJCQnhjTfeYPPmzXTs2NFmGS8vr0y7SOeE5LyMZZTzIiIiaN26teS8R0RuteiH3B0X0iEpCiQmWs/2HRurjknp4wPPPJNS9u23ISoqbdnYWKhXD1auBNRz9kz7V9mRYAQigLOktIE+jaL1wHJF6eQEY8aoY0BXrKg+KlQAb28ANp5dz8mN31ryZeoKTchansyt3OtoOe8x+mt8PKxfv55y5cpZxg4DOH36NM2bN+fTTz+lS5cufPHFF8ydOxeA27dv4+3tjbe3t1WXjYCAABRF4dSpU1StWpUffvjB8trdu3fx8vKicOHCJCUlsWjRIrtiq1mzJmse6ErUpk0bxowZw7Rp09LM3Hf69Glq1aqV5XMgRH5YtmwZgwcPtnQRKF26NK+++ipDhgyh6P2WJTlRvXp1Dhw4wIABA9iwYQODBg3iwIEDzJw5E5fkGVWFeALZm/eSJxSMiIjA399f8p54JOW0tUuWJubJZDvpjvOlKHDxIuzYoV7MVamiLg8Ls1ywJTlrOVBKx4kqhTlYyYtTZTzRu2hxQ+1iN+fYN7Sr3hUdaS+mHe1iKDfsD9nPpbuXMCkmrsdct2udi5EX2R+ynyYl83biF0dgNpsZMGAA48ePp1q1aumWmz59OlOmTKFUqVL079+fMWPGpDsWuV6vR6/XW57HxMQAaqWhwWCwLDcYDCiKgtlsxmzO+GZC6m6imZXNrl9//ZVy5crx77//WpadPn2ali1bMnXqVDp37syMGTOYM2eOVfdzLy8vyzAriqJQtGhRFEXhxIkTVK1ale+//x5Qz/WdO3fw8vKiUKFCJCYmWrqdpz4Hto6vevXqrFmzxuq1Vq1aMWbMGD755BNWrVpl9drJkyepWbOmZdnDOH/Z9WBsiqJgMBhwcnLK58hUyX+zqf92cyL4fDCTdkxiUvNJdKjYIcfbunznMnjDpduX2HhmY463mWMmkzq7d2wsxrt3cb95M+XcGQxov/3WqsJRk/z7vXso9etjnjxZLWs2o/PyQpPOeTe3aYNpQ8ps4LqFC9Vt2SpbpAim+9sJPh9MbQ8waJ1IcHPGtUhp9vtGcamIlrM+Jrp2fZGmqfdpawxogwGj2cii/YtwxRVvZ2+b+3VxdiE+MZ7FBxbTukzrdPNketty0bhY/bRnm/tC9hESFYKzxpmIexFkxlnjzI27N9h7bS8NizfMsGx2/gcc85vBE2zJkiW88MILVsuqVKlC8eLF+f3335k1axZjxoyhRo0aODs7U6tWLZYuXUq3bt1Yvnw5tWvXpnv37nz00UfMmTOHTp06UbhwYauZl9u1a8ePP/5IpUqVKFy4MK1atSIkJCTT2Jo2bcqNGzeIjIzE11et3ddoNAwZMoQVK1bQoEEDq/KbNm2SGZ/FI+HUqVO8/vrrKIpCrVq1mDRpEp07d871Lzo+Pj789ttvfPzxx0yePJl58+Zx9OhR1qxZQ7FixXJ1X0I8KuzNe7Vq1UKr1dKwYUO+/fZbyXvikZPT1i4ZTsyTze0AKGYzv2yYQcdd4Tjt2g1//QXJ/x8ffwwffqj+3rw5TJzIP+WcGRA2Dw8vX5uVkpm18EivAtBN6wZFISQ2hESzdWsxR68ArB1Qm5ltZ2Iw2X8x5uzkTO2A2nkXlAP57LPP0Ol0jBo1Kt0yo0aNok6dOvj6+vLvv/8yYcIEwsLCmDlzps3yn376KZOTKyZS2bJli1X3b51OR0BAAPfu3SPpwe6d6YhNp9IiNyxevJju3btbKmEBihcvTkBAAD/99BOTJk3i/fffp0aNGuh0OurUqcNXX31Fq1at+P7773n22Wfp3Lkzb7/9Np999hmdOnXC19eXLl3U/7WYmBiaNGlCuXLlqFSpEr6+vjRr1ozr168TExPDvXv3UBTFav/JatasybVr17h69SqFChWyLO/fvz9r166lWrVqVutt2LCBDh06pNlWXp6/nIqNjSUpKYmEhAR27dqF0WjM75CsbN26Nde2Nan4JDivVrDl1KdlP035mZ1tKgpagwGNomC6P7Gq1mCgyH//oUtMRJeQYPVwjo/nbsWKXGvdGgCnhASav/VWSplUNzScgapNm7I1uRWxycTzb775YAQWNyMj2dswpWKto5MTuvsVaUY3N4zu7pZHpE7H8eCUY32qUye1XKoyRg8PjO7u6L29iUtV9uiSVBP43Ff8/iMGCA627xwO8x4GtuszU9xvf7Nl05Zsb2uM35gsbXNaqWmZBJXWnf/uEPxfxsedPIdFVmiUjKYyf4zExMRQsGBBoqOj8fZOeScTExO5fPkyZcuWxS2D2Qwh98ZZyS35Ec+MGTMAGD9+vGVZp06d6NWrF88//7wlltu3b9OyZUsOHjyYL63QcnJusvI3YQ+DwUBwcDAdOnTA+cEZNPOBI8XjCLHo9XoaNmzIf//9R5s2bRg+fDidOnXK83g2bNjAiy++SHR0NAEBAaxdu5ZnUnVvcIRzk5qjxJPeZ7lIy9a5yurnmyPlvfyK5VHIezk9N49z3nOkWNafXc+Y4DHMLDeTty69xawOs7LUynL92fW8tvE1Crn6UFBxRUlMIP7eXWY0m0rrqp1SZj01mdTJAZKSQK9XH6l+36sNpce9JQS4BzDd6VVqvDuSgLsPVMa5uECjRjBkCLz0kmWx0WykQ1AHTtw6QaCX7XERIXmMrxps7L8xTYVrvCGebZe2pa0ANIHukg5jOSM8cE/R2cmZVuVa4eGc+Ri9ucGR/m4etbyn0WisJgo6dOgQHTt25PDhw5axNMuUKcPo0aOtJgp60Hfffcerr77KvXv3cL1fCZKarZaaJUuWtPRiS5aYmMj169cpU6ZMpp9viqIQGxuLl5dXtoYbymsPI77kLvDjxo2zLOvcuTO9e/dmwIABlmW3b9+mVatW7N+/35LzHPn8pY5Nr9dz5coVSpYsmSs5LzcEnwmGS0A56FA55y0r39r8Fu46dxKMCcxsOzPbLSuDzwfzdvAYat/z5nXPF1gbshRDTCRDn+pLbc/yEBuLUqsWSps26goRETgNGmTdOjK5taTRiOmVVzDPn6+WvXsX59SzdT/A3Ls3ph9/VJ8YjTjbGKtW0enAy4vrtWtTZMMGy+e100svgYsLipcXpHooBQpAmTIoTZumbCQsTJ2EztNT7QqeQ8nn38fNB1edKy4aF8b4jWFWxCySlCT0Rj1RiVGZvi9Gs5GeP/XkdMRpArwyH5YjPDacqkWrsqbXGps3OhMMCfx15S+Mpgcq8s2gu6LDWMbIg50rdE46WpRpgbvzwxtmIiYmhiJFimQp50lLTZElb775pqW73cGDB+nbty9Vq1alf//+xMXFWcpdvHiRhQsXSrda4fAmTJjAf//9h5+fH99++y2HDx9+KPvt1KkTBw4coFu3bpw8eZLmzZsze/ZsXn/9dYf7IijEk0zyXv7IzfHAHIHds6AaDBAerraU9PKC+111jRE3KdVtELtux1AsJhwPfequna9g7tcX7Qq1azgmE7RokW4s5qf9UF7Q4apzJaFwEbziTSQ5wbnyPlTtPQJti5ZqhaaNC8jcGI/Lw9nDZmWuwWAg+FIwXSp3yfeKRJF7du/eza1btyhVqpRlmclkYuzYscyePdvSpfpBDRs2xGg0cuXKFSpVqpTmdVdXV5uVnc7OzlZ/PyaTCY1Gg1arzfSmT3KX6eTyjuZhxDd69GiWLFmCVqu1ynkvvvii1T4vX77MwoULrSoFHfn8PRibRqNJ87eSX4xmI4uP3m/F/983dKyW/TErjWYj8w7NI8GcQCHXQkQmRTL/8Py0PQMUBaKjITRUfYSFWf9s3x7jwAHMOzQPv9v3WP3ZZeA/mlk28FXKtoYPh+Rxcl1dIYPWpk5xcTgln3NfX6hTx6rSMfVDW6sW2uSyzs7qzboCBdTXvb3BywuNqysGo5EjwcF0SP1+3h8qxS6pPptyyur8OxUiSUlpHZ6kJJGkJKFx0pBgTrD9vqRy4PoBzt49S5w5jovRF+3a/5nIMxy5dcRmrwZnZ2ebw94YDAaCrwTTpapj5N7sxCCVmiJLXFxceO211wCoV68eFy5cANKOy9KwYcZjJQjhCDZt2sSsWbMAtUVAXg5Ob0vFihXZu3cvQ4YM4aeffmLkyJEcOHCABQsWpDuGlBDi4ZK8lz9ya4ZvR/HH6d+5dfEY5d3V/lyF3Atx5doxbvTvRJl4F7USMyQEbt1SLzZBbSF5f5y8TeF/0+n0XZvbTtRBRFw4JZMXODur42C6uKgXmKl+hhki2elyCl939SJOcXJixPjqnChsIMwczYKODehSqaXN/TyOY2GKvDdgwABatWpltaxt27YMGDCAl19+Od31jh49ilarzZVxzYX90st5D3rSc15u3njLcIzjrG7r7AbCLx2jYVIBAq/HUDBSS4E7e7i2uSvlOg2APn3UgufPg42bBRY+PgQ3KczJiJMUL1qYe26RaL18CXe+R4wrRDubqVi6DoGBT6k3wZIVLKjmrQcrKe9XQlKgQEpZnQ4OHbL/4FK3rnRQuTkJngxrYj/5hiGEeCLdunWLQYMGATBy5Eg6deqUa4NzZ0WBAgVYtWoV9evX55133uH777/n+PHjrF69+qHHIoQQjiC3ZvjOUwYD3L4NERHg7q7OVgoQFwdvvaUuv/9QIiLoHBlJZ+CPRiaS3gVXnSu3naDM6s1pt+3sDMWKqReHqOfj66OL+P1FHyhalFs+zkR6O5PoosWkhdB7YdTwd2Gj2aieJ40GTp1Ks1mj2cjAoA6cuFWAwFSVkudKeYKShBIbleH5lslwRHru3btnVfl1+fJljh49iq+vL6VKlaJw4cJW5Z2dnQkICLC0wNyzZw/79u2jRYsWeHl5sWfPHsaMGcOLL75oNbajEI4it2682dWK32hU88nNm2kfjRrB/bG8jZcu0LF6d7qYFeDmA3vaiNnVH21ypWbyWP6FCqm/BwZa/TQ+XYu5+6epEyt5edLm6wa8U/QdPrv1GUlK0v0hRrzY2P9b63yh01kNWfIkye0bf+n1ahBpOdg3RCGEyHuKovDyyy9z8+ZNqlevzueff56v8Wg0GsaNG0edOnXo06cPhw8fplGjRowaNYoOHfJ5dsFcdO3aNe7cucPTTz+d36EIIRxYbs3wnSVJSVYVkfj6Qt266muxsepFWurX76ZqNdm/PwQFqb+7uMDixVabTh5QxKwBd72Z5M5oXl6FmdYhjo4NB1CrTnsoXlx9FCkCqbpuJp+P0MbFszUxz4PbSa8FSWbbkVYjIj0HDx6kRaohD9566y0ABg4cyLJlyzJd39XVlVWrVjFp0iT0ej1ly5ZlzJgxlu0IkVMx+hjLTzdNzsbRzM0bb5uPrYMjR+l/15OKR39mSkgcfwceILj+/c/hK1egXLmUFvwPGjLEUqm5OeoQHc1quShPJ24XdOZ2QWfCvZ247mmkQd1iWNrXenlBQgKkM6Zo8Nn1nDyY/XzxJHocJ8F7VEilphDiiTNv3jyCg4NxdXVlxYoVuLs/vMGPM9KyZUsOHTpEjx49OHjwIJMnT8bZ2Zl33333kR9nU1EUhg8fzpYtW1i4cCGvvPJKfockhMgjZsVs9TMrcmuGb/R6tfIxNBS/I0fQ3L0LpUunjDUZHQ3t26dUUkZHW6/frx+sWKH+7uYGv/6adh9arVoBmXrsSWdnmDZN7WpXtCimwr4M3/che5Iu4uFfAp2TK+/cL+qmc2NuywLs9L/Axg7tbB6fPS0/7GnxkRvbkVYjIj3NmzcnK3PPPjiOZp06ddi7d28uRyUyoygK8YZ4PJw9HvnvmRlRFIWI+Aj8nPyIiI+ghEeJHG0vWzfeFEVtRQ/quMnDhqGcPEn7y5foqABEAFeoCmgbuKd8Dhcpoq6bnG/8/a0fTdTKMKPZyFcnvuWDD4viUqwEJifr9zM0NpQaXgdSWvRDuhWauZV3njTp3vgzAZdgZuuZNifBkxt/OSd/fUKIfHPt2jXCwsIe6j6PHz9umdFxxowZ1KhR46HuPzOlSpVi9+7dDB8+nO+//5733nuPQ4cOsXTpUry8vPI7vGxbtWoVf/zxBy4uLjR9BMbEEUJk36YLmyw/bQ1Kn5EHWxMmtwbZdHwdnQo1VMecTN1ismJF6HL/YjIqSm1dGRGhtq4EnAFL+4e+fVMqNT09Yc8e6507OakXjUWLQolUF73OzvDtt2p38KJFwc9Pffj6WrWotJgwwfLrxrPrCXa9SqGCfpi1aSsNMmvtklvjc+XmOF9CiMdDtD6aGzE3KOFdAh83n/wOJ89E66NJNCaCEyQaE4lNis32tjK98XbvHpw+DSdPqsOAJP9s2xYWLlQ3UrAgbNiARlHQAHc9nbga6IFviXrscj7L/jJO1p/D4eFqbspgZu7g88GcvH2KQgF+ODllPdek2ZbkiyyTSfDyj1RqCiHyxYkTJ2jUqBEJCQnodLqH0nIvISGB/v37o9fr6dChAyNHjszzfWaHm5sbixcvxsPDg2+//Zaff/6ZU6dOsW7dOpszgDq6O3fu8OabbwLwwQcfULly5XyOSAiRV4xmI4sP3Z/F9fA3Gc7smWbdqEh2/jCFGnF6bldVW4cU1evYNyEMz6Tetlfq2zelUtPLCy5fTummp9Oh+PkR4+qKV7lyaKtXT1lPp4PfflMrJpMrKX18bFdSgtrFL4ty2tolt8bnkgl+hLCf0WjM7xAeCkVRuBV3iyRTErfiblHQteBj2Voz+ThJbkiswJ34O1lqWZxa8PlgzoWdoKLZmwKRSSR637/xdvI3OnUeC1ev2l7x+PGU393dMX23hHfOzWOzy3Vci5XARevKO0XfZP79MSuV2NCUz2F//wxjys2WlZIvxKMoZ1N1iTxRpkwZKlWqRO3ataldu7bDdtO8cuUKC5PvOKUjLCyMRo0aWWaJLVOmDJUrV7b6wlCvXj127NgBwKRJkxg9erTVNpYtW0bXrl0t+/Tx8QGwnJ+qVavi5ORked7n/gDIn3/+OTVr1qRWrVpUrlyZ8ePHA5CYmEjdunWJfrCrmXhooqOj6d69O3FxcZjNZoYOHcqnn36a7S8Y9nrnnXc4ceIE/v7+LF261KG/vGk0Gtq2bcuff/5JYGAgp0+fpkGDBqxfvz6/Q8uycePGERERQbVq1XjnnXcyX0E8cSTvjbbaRlbzXt++fQGYMmUK1atXz9e8Z5nFlZRZXG26eRM2bYJPP4XevaFCBXSFCvPltIO8+XdK16177k64G9TcYHbWqZMY1KoFrVurY1n+738p23Rygn//hbNnITISkpIwXr3KjtmzMW3aBO+/bx1Dly7qbKqVKqXf6jKH5yKrrV1Se3B8rsweJsVkGZ/Lnu2ExIYA6jhf9mxHiMeZ2Wzm2rVr3LhxI88njnSEnBetjybBkICz1pkEQwLR+rT5ITs5r2bNmlStWvWhXOt9/PHHmea85ON00qqtHJ20TuiNehIN8WrL/5Mn4e+/4fffYflyePB7dr9+8OyzUKMGSokStKnZjSvvhLFzwlkmLbtiqdib899ilPvnAH9/tVfAyJEwfz7s3KneREtlY+PCrCwShlLUL6Vbeirp5QVbcpprUpN8IR5FUp1uS1yc7eVmMyQmquMkZVYW1C/H2Ryrb/Xq1dSuXTtb6xqNRnS6vH9rkxPd8OHD0y0zZcoURowYgTbVhYJer2fJkiW8+uqrOdr/0aNHLXHUrl3b8hzgp59+Ytu2bezbtw9PT0+MRiMnT54E1FZwAwYM4Msvv+Tjjz/OUQwi68xmMy+99BLnz5+nVKlS1KxZkw0bNvDee+8RHh7OrFmzrP5ecsvGjRuZM2cOoH55Klq0aK7vIy80atSIQ4cO0bt3b3bv3s3zzz/Phx9+yMSJE3HKoBuKo9i2bRvLli1Do9HwzTff4OLikt8hCVsk79nFUfOe2Wxm+fLlbNq0iQMHDuDu7p4vec/mLK7759JBVwVdzD1IniQsKQlKllRnEH9AiI+WWC9Xy3OzVkO3KdU5o0RQpnRNNr4QnHFrkEaNcvWYsis3Wrvk1sQ8Ms6XEA+wkcfMRiNxt25hMhi4cOEClStXVr9nZSXnxcWpQ1vYIac5LyffpyytF1Er+cwms83WmlnNeckVm1nKeYqiftdQFHWW71TLj/79NygKVy5fpvazz3J0+3ZL2bXff88ff/yRkvOuXOHkmTNw5QpuZjMD2rfni/ff593XXiHQycztwur50mg0VLhl5HrEbXi+Z9qWlY0bp7T+B7XC88YNdV0g+dPcrAHvODXe5MrCHfPepUWT/lC4cIaH7MgtKyVfiEeRVGraUqCAzcVawLN1a7VlQbKiRSE+3vZ2mjWD+3elcsPmzZuZMGECRqORQoUKMW/ePEqUKMGOHTt44403LJUf77//PrVr12b06NHcunULvV7PsGHDLF1t9+zZw/jx44mNjUVRFKZMmcLzzz/PuHHj2LlzJwaDAW9vb7755hsqVapEQkICgwYN4vjx4zg7O+Pv78+WLVsYPnw4V69epXbt2pQsWZLly5dbxZuYmMjq1av54osvrJZPmjSJ999/nwEDBuCRenD9XBQSEoKPjw9u9wdA1ul01KpVy/J63759efrpp5k8ebJDt9Z7HE2bNo3169fj6urK6tWruXnzJs2bN2fcuHF8/fXX3Lx5k++//x5XV9fMN2an8PBwXn75ZQBGjx5Nu3btcm3bD0NAQAB//vmn5RxNmTKFgwcPEhQURKFChfI7vHTFx8dbvtCOGDGCxo0b53NEIl2PSN777LPPaNCgATt27GDEiBGS91IJDQ2lUKFC+Zr3gs8Hc+PqcfpdcqPazu/46XQEFW5cQZfwlDrW5cGDakEXF6hRQ60AePppePpp/vVLZNj1+VCkSJoLsxA/V5yNRTgRcfKRGbsrN2ZBza2JeWScLyEeYCPn6YBqQHTTppyfNYuLFy9SoUIFtFnJeWXKqGP6ZtODOW/BggVUrVrVkvPq1KvD0cNHGfvuWJ5p8Ey2c15iUiIu7i5MnjmJ8hXKY04wMGrY21w5fxVXF1f8ixZly6+/MnzYMK5ev07tGjUoVaIE63/8Ua1UdHMDL6+UnDdmDFy7hsZsRmsyMfGNN/hg4kQGNGqER+pGBGaz2ko/JgaOHEmpzLx6VZ2s7epV63Ejz6it/gkNVcteumR56cbZs/j6+qbkvMhIahUpArdvA9C3aVOefvFFPh44ENysa+GU+zlQ0WrVCkgfHyhUSH08ONb+zJkAmAp6M2rvRA4lXsLdL5A4dyfLOMnJlYXTozfwbKHXMq1gyc0xK9PLNRnJaMZtyRfiUSSVmg6qT58+lhmZJ06cyDPPPEP//v3ZsWMHNWrUICgoiN69e/PPP/8AcPr0aebPn8+SJUswmUw0bNiQH3/8kcqVKxMfH0+jRo1o2LAh5cuXp2vXrqxdu5Znn30Ws9lMVFQUoHbNTb4QW7VqFW+++SabNm1i06ZNREVFcerUKQAiIyMBWLhwIaNHj+bo0aOYzWZiYmKsjuHAgQOULVs2zQVcrVq1aNGiBbNmzeL9B7uCAUFBQZYuCsn7q1OnTpbP36JFi6hQoQLPPvsszZs3p1+/fpZzGhAQgLu7OydPnqR66jG2cpnZbKZnz54cPHiQ/v37079/f2rXrv3EVqRu2rSJjz76CFBnIK9bty7BwcGMGjWKwMBABg4cyOrVq7l9+za//PIL3qlbh2WT2Wxm0KBBREREULNmTT799NMcbzM/ODs789VXX1G/fn2GDRvGH3/8Qb169Vi3bh01a9bM7/Bsmjx5MpcuXaJEiRJMmzYtv8MRDi6zvLd8+XIGDRpkaX0oec9a9+7dWb58OeXKlct23jMrZg6GHqROsTpoNVlrMW80Gynw8qsc3R+OiwngiuU1g5MGnYszmtSzv+7bp45reX/dSUEdiPTUEviYzLQqrV2EeDS5urqi1WqJiYnh6tWrlEFtoZdVRqN638ZsVht0enpaPvIA+671evbsaZXz3vv0PeZ8NYfwpHD6deiXtZxnNvPOiBHMGD+emLvh/PrbRuaMm8bmr+ew7q+/0EfGsP7v9VT0rcjdmzfh9GkWjh3L6C+/5OjSpWrQly+rP4sUAS8vNeeVKYPH/aFNNACKQu3AQFrUqcOsRYt4f+zYlIPWaMBkIig4mB0HDlgWR8bEUKdyZfVkJVdqajQps3O7uanPvbzUn1otfXv3ZvGvv6bkvNq16delC+6enqDR4F+qJC4ebmy9fYVK1a3Hcr/h50JIkpapnzZmWa/vM84nvXoB6qRvv564TqEiRTHa6Bli76Q5D61lZQYk14jHjWN/I8wv9+7ZXGw2m4mLi8OqmuXWrfS3k4MutA92Sfj999+pUaOGZabmF154gREjRhAaGgpAuXLlaNasGQBnz57l5MmTljG2AGJjYzl16hS3bt2iUqVKPPvss/dD1OLrq94l2rp1K3PmzCE2Nhaz2Wy5iKtVqxanT5/m9ddfp1mzZnTo0MGuY7hx4wb+6QxsPGXKFBo0aGCzO8MLL7zA7NmzLc+XLVvGr7/+atc+kwUEBPDPP/9w+vRp9uzZw/z585kzZw779u2zdNcICAjgxo0beVqp+dtvv1nGQPziiy/44osveOqpp+jbty99+vShatWqebZvR3P58mX69++PoigMGzaMIUOGWI1Z1K9fP4oUKUL37t35888/ad68OX/88Ue6f0P2+vrrr9m8eTNubm6sXLnSckf3UfXiiy9SvXp1unXrxqVLl2jUqBFLliyhX79++R2alSNHjvDll18CMH/+/Ed65vYnwiOS90aOHElIiDquk+Q9a/7+/vz3338cOHCAf/75J1t5b8eVHYzbPo7praZn3kIwIQH++gvatweNhuDzwRj00biY4EJxD7S1W7CyyBkOF1M4VCiBr5+fQJfUN/RSXRQ+jjOtSmsXIRxYBjkvMS6Ocm5uXLhwgTt37uB69CiBgYG2t/NgzrtyhcREtbFgVBSYTGpDRI1Gravz8VHrA8H+a73knFembBlqNlRvYp85cyb9nHfzJpUqVuTZ6tUhNhatl5ea8/R6tgYFMeenn4iNi8OsKETer4ysVbEi5y9d4YOxH9DuuXb06tRNbVHv4pJSI3u/MhGNxtLl3pLz/P1Bq0XRaFC0WpSAADXntWvH8NRjqWs0UKQIL/Tvz+wvv7Rsc9ny5fz6229QoYJ1d/DkXFWggLrvVJNlBgDHjx9n3759as5bsYI5y5dbcl50YhQ+/oW5HB1JCTcnq4ppk5MGjdaJc5Hn7conudldPDda8aeWWy36hXiUSaWmLemNhWI2q9nJnrIPWYFU3SgURcHX19dqjMlkGzdutLn+tWvXGDlyJAcOHKB8+fIcO3aM/90ffL9cuXKcOnWK7du3s23bNt5++22b236Qh4cHiYmJNl8rU6YM/fv355NPPsn84LLJycmJJk2a0LRpU0aNGoW/vz8nTpywtH5JTEy03CHNC8ndPQCaNGlCQEAAwcHBnDt3jo8//piPP/6YGjVq0KdPH/r06UOFChXyLJb8lpCQQPfu3bl79y4NGjTg66+/tlmudevW7Nixg/bt23PkyBGaNGnC5s2bs31ujh49apmYZubMmY9NJXLt2rU5dOgQ/fr1Y8uWLfTv358DBw7w2WefOcRFstFoZOjQoZhMJnr16kXnzp3zOySRGcl7j1Xea9KkSZbznqIoBB0P4nrM9fQvygwG2LoVVq2CX3+F2Fj47z+M1asyd/9cEp/zZFXnsoQUL8g7RYey8f4srkmxCeluU2ZaFUI8dDbymNqy0gxuJjQab0qWLM3161cJjY7G2ccHPz+/TDd7T/Hk6kV1W1qteu9Go0kZNvLOHbWXdVbnxVQUBVcPV8sM3oqi4O3jzZHDh9HEx6s3me7/3Lh5s/r7xYtqd+r7N5WvhYczcsYMdqz+Ef9yxTl26TI9+rzM2ZLumEs9xbp/1vPvrn/ZsXsHkz+YrOa8yEi1lWSVKjbj8vDwIFGvV8dIBhSzWa3ULFSIMnXq0P+FF/gk1Q07QK0odXZOaYUJKZWlWezJll7Oe/rpp9WZ3ROTcHO3nVc096s57cknuXnjTVrxC5H7ZPbzR0SjRo04fvw4J06cANRucsWLF7d557BSpUp4e3uzNLmrAHDhwgUiIyNp0qQJ58+fZ/fu3QCWlinR0dE4OztTrFgxFEVh7ty5lnVv3LiBRqOhS5cufPHFFyiKwvXr1/H29s5wJtWaNWty9uzZdF//4IMP+PHHHy2tTXPTwYMHuZzcRQL1jqbBYKDk/aRrMpm4ePGi5W5oXti4cSNHjhzB09OT4cOHs2rVKm7dukVQUBCdO3fG2dmZ48eP88EHH1CxYkXq16/PF198wbVr1/IspvygKAqvvfYaR48exc/Pj7Vr12Y4XmbdunX5559/KFu2LJcuXeKZZ57h8OHDWd5vfHw8/fv3JykpiS5dumQ4yPmjyNfXl+DgYN577z0AZs2aRevWrbl582Y+R6a2jj106BA+Pj7pVmA/znbt2kXnzp0JDAxEo9GkaXE3aNAgNBqN1ePBcV4jIyN54YUX8Pb2xsfHhyFDhnAvnZYljytbeS8wMJDixYunKSt5T20dffHiRcvzrOa9BGMC5yPPE+AZYD07qskE27fDsGEQEAAdO6ozxMbGqheyISGWC77IMv5cDkxbaZrRjKu5NcO3EEJkR2KiOg/MmTOQ/BX82jWIiPCjQIFiAFy9etUybElG27l6Va3QdHZWW2Ym19Elt9R0dlZfNxpBr7deP71rveKBgcQlxIDZjI8edHFxlK9YHs8Cnsz/Zj6cPQtXr3Lh8GEiQ0JoUqMG569dY/fp0+DmlpLzYmLQubkS/5QfEQVdWLxiFQAmrYawsHA0Gg2t2rdi1AejMJlNDp/zDh48mG7Oi9ZHcy/xHjeu3qBilYrpbqOga8FMZwPP7o03o9los0xyy8oeVXtYPbpUVitBu1S28VqlLng458143EI8DuQW9yPCz8+PoKAgXnrpJcvg0atXr7Y5NqNOp2PDhg2MHj2aWbNmYTKZKFKkCCtWrKB48eKsW7eOsWPHEhsbi1arZcqUKXTu3Jm+fftSrVo1ChcuTNeuXS3bO378OBMmTEBRFIxGIwMGDKBmzZoYjUaqVatG9erVKVu2bJoJE8qWLYu/vz8nT56kWrVqaeIsUqQIo0aNsoyxmJvu3LnDRx99RGxsLO7u7jg5ObFixQrLXda///6b+vXrW7og5rbUrTRfffVVy9iQXl5elrE17969y6+//sqqVav4888/OXjwIAcPHmT8+PE888wz9OnTh169ehEQEJAnMT4sCxcu5Pvvv0er1bJq1SrLBXZGKlasyL///kv79u05evQozZo1Y926dbRq1cru/Y4dO5bTp08TEBDAt99++1iOY+rk5MTUqVOpV68eAwcOZOfOndStW5eff/6Zhg0b5ktMly9f5sMPPwRgxowZj/zfb3bExcVRq1YtBg8eTPfu3W2WadeunVUF3IMV/S+88AJhYWFs3boVg8HAyy+/zLBhw1ixYkWexu5IbOW9pUuXSt5LR2RkJBMmTCAqKirLeU9RFGL1sQAUdCtIXGxcSuuVbX9C6kp3f3/o3Rv69oVGjTBiZm5Qh2x3y5PxwIQQ+eXevZSKyOSWlaD+NBohMTEQJ6ckTKY7XLp0iUqVKuGZTm+F27dTKjQz4uysttSMjkZtvmkwgNlsnfPi4ynk5cWaTz6BI0cocD0cV4NCyQg9RtdInAOc+Xr518ycOJNFM+dgMpspUrgwK779luLly7Pu998ZO24csTNmWHJep06daNe1HT2a96CQbyFatm9pien86fPM+mSWJed17tWZGjVqYDKZLDmvXLlyliG1kuX3td7IkSPT5LwiRYpwPvI8R/YdoXrt6vgU8kl3Gy5OLpm2/s/tiXiEELlPoyhZbQD/aIqJiaFgwYJER0dbTT6SmJjI5cuXKVu2bKZj7SVPCuDt7Y02B+OG5RZHiie9WNasWcOOHTuYN2+eQ8STrG/fvgwZMoTWrVuneS0rfxPp2bJlC23btsXd3Z1z585x6NAhOnTokG7X4IiICH7++WdWrVrFrl27SP631Gq1NGvWjL59+9K9e3eKJA/EkwMGg4Hg4OAM48kte/bsoVmzZhgMBj7//HPGjx+fpVhiYmLo1q0b27dvx9nZmR9++MFq/KD0/Pbbb5YKii1btth8n215mOcmt2M5c+YM3bp148yZM7i4uDB37lyGDh36UONRFIV27dqxZcsWmjdvzvbt23O9Mjm9z3JHpdFoWLdunVWF2aBBg4iKikp3zMTTp09TtWpVDhw4QL169QB1kq0OHTpw48aNdMf20uv16FM1/YiJiaFkyZLcvn3bcq4SExO5fv06ZcqUsevzTVEUYmNj8fLyyvcbA44US0bxrFmzhp07d1q1/MxrMYkxkAS4gLeb7f+Lfv36MXjwYJufh7djbnPs7DHWb51Kg7/PEeGpYW5TV2a2nUmHMq3R1aqF0qwZ5t69Uf73P6vZaYPPB/PW5rfwcfPBVadWzrtoXBjjN4ZZEbNIUpIA0Bv1RCVGqdusaN8YpbnBYDCwdetWWrdune+f644WjyPF4mjxOFIsMTExFClS5JHJe/klq9d6iYlqD+3UFZEajZlixWIIC/NGUdTrB4PBjMl0AbM5Bp1OR5UqVdLciDQa1ZaeipL88aigxYw5VT9iX+NNXMx6dEoSOnMSzooBHQa1E7S7O6SuFDxxQg3wPgUwOmkwOmnQunpyydeMWTFjNBsp7VMaHzefTM9PVGIUV6OuotPqMsyhiqJkabupr/Uc4dr0XtI9Lt+9zLhXx9GtXzcaNWsEgBYtpdxKcS3xGiaDiYjQCCYcmsCN+Bt4uXjxQ7cfbFZCxhvi2XZpW5ZvvLUq1ypLrSsd6RrEFkeOz5FjA4kvq7JzrZfllpq7du1ixowZHDp0iLCwsDQXa6kNHz6cRYsWMWvWLEaPHg3Ajh07aNGihc3y+/fvp379+jZfa968OTt37rRa9uqrr7Jw4cKsHoJ4iHr16sXNmzcxm835XvGaLDExkWbNmtld0ZVVD7bStGeiGz8/P4YPH87w4cMJDQ1lzZo1rFq1ir179/LXX3/x119/MWLECFq1akXfvn3p2rUrBQsWzJP4c0t4eDg9e/bEYDDQs2dPxo0bl+VteHt7ExwczEsvvcRPP/1Ev379uHXrFqNGjUp3ndDQUIYMGQKorTXz6n12NJUrV2bfvn0MGjSIdevWMWzYMA4cOMCcOXMy7O6fm4KCgtiyZQuurq4sXrzYISqeHNWOHTsoWrQohQoVomXLlnzyyScULlwYUG8G+Pj4WCo0AVq1aoVWq2Xfvn1069bN5jY//fRTJk+enGb5li1bLLNx63Q6AgICuHfvHklJSXbHGxsbm5XDy1OOFAukjadt27aWrooPPe8lQUxSTJrFiYmJNGjQgIYNG6bM2K4oOOn16BIScI+LIzDKxOffXsbtaijxfn6UGzAXzkPw+a0wY4bafzIhATZvTrP9meVm2gxnjN+YtAvPk2FXv7yydevWh77PjDhSPI4UCzhWPI4QS3x8fH6H8Fiyv2WlFkUpj5P2DGZjAufOnaNy5crqxX9EBOj1mOONlNIbcNYY0CUZcVIMJGncuOSeUlHpY4jATbEx5rKtsSSLFwdFQXFx5nJcCPcUPTonZzRoKObsD4Ywy3esW3G3KOhaMNOKyltxt+7vLuPvZlnZLlhf6zkCd507fq5+tGnRhj5d+qS8oABJUNK7JElJSZjdzUz830QMWkOGrf9lIh4hHF+WKzXt6VYHsG7dOvbu3ZumRUmTJk0ICwuzWvbhhx/y559/Wl3A2TJ06FA+/vhjy/PkizTh2EaOHJnfIVhxc3Pjtddey7Pt79y5k7///htXV9c0LRPtERgYyJtvvsmbb77JlStX+Omnn1i9ejWHDx9m06ZNbNq0CRcXF9q3b0+fPn3o3Lmz1YQZjsBgMNCnTx9CQ0OpUqUK3333XbYruFxdXVm5ciVFixZl7ty5vPnmm4SFhTFt2rQ02zSbzbz00kvcuXOHp59+mqlTp+bG4TwyvL29+fnnn5k+fTrvv/8+33zzDf/99x8///wzJUqUyNN93759mzFj1AqMjz76iIoV0x/D6EnXrl07unfvTtmyZbl48SLvvfce7du3Z8+ePTg5OREeHk7RokWt1tHpdPj6+hIeHp7udidMmMBbb71leZ7cUrNNmzZpWmoWKFBAWmrmYTzZuYmTXTH6GG7E3KCEawlu6G9QwrsE3q7Wd7a9vb0t/5/JNGfOqBNMAImARlGIc3Xi3zq+bKtfiK0hHxOZFH2/ZWVHm/veF7KPV39/lXsG6/Fe3TRufF7uc96+9DaJD1zEF3AuwKLOi2hY/OEMkeFILe4cLR5HisXR4nGkWCw3IkSuMRrV2clt3XdyiY7GPykGJ8WIk9mATlErKXUY0Ws0nNDruXDhApUqVUJ76xYkJOACuIBlIh8AHdYt+6J1RbiHEYPGBaPGhQSjM/4lXShYWJe2UrNQIXWdxChiFX26k9jotDoSDAlE66MzbFUZZ4hDb9SjoJBksu+Gpt6oJ84QRwGXzK8xkq/1HKFi00nrRIBPAGPfHGu13Gw2E5MUQ0G3giRpk4h0jqRN2TbZ7pUnhHAcWa7UbN++Pe3bt8+wTEhICG+88QabN2+mY0frL8IuLi5WY6wZDAZ+++033njjjUwvUjw8POwen81WN7zk/RkMKUnGaDSiKAomkynTD+LkLsGKojjEh7YjxeNIsSTHkfwzq/GYTCbLmDKp/1bslVzx/vLLL+Pn52fZRna2Vbx4ccaMGcOYMWM4d+4ca9as4aeffuL06dP89ttv/Pbbb7i7u9OxY0d69epFu3btMp3RPSfx2Gv8+PHs2rULLy8vVq9ejZubm839ZSWWL7/8kqJFi/LRRx8xffp0QkNDWbBggdXFxsyZM/nzzz9xd3e3jOOZleN8GOfGXjmJZdy4cdSsWZMBAwawf/9+6tSpw4oVK2jWrFmexTN69Ghu375N9erVGT16dJ6dQ0d4b3Iq9RAKNWrUoGbNmpQvX54dO3bw3HPPZXu7rq6uNlvlOjs7W/5PTCaTJdfa04ow+fNTo9Hke2t7R4oFciceRVGIN8Tj4eyRrYpaRVG4FX/LKufdir9FQbeCaBQF4uLUCX1iY9VWljVrplzFe3qi6PXEuWq47WQiIknHuHcrctNw27L9hMQE5h+eT8fKHW1eVNcpXodP23ya7iyu01pNszmLa53idR56RVHq/wNH4EjxOFIs4FjxOEIs+b3/x0XqEdfi4tQ50HQ2roRdo6PxMNiu+HPROOGkVYiLi+PSpUuUL1QIjZcXiSZnIqJ0KDpnTBpnjBodJo31+3bHOeUaVlHAqAWNC5DOR789rSvtbVXprnOnZMGSZGXUOY1Gg7su42uKR9UTMvqeEE+MXJ8oyGw2M2DAAMaPH29zwOAHrV+/njt37vDyyy9nWjYoKIgff/yRgIAAOnfuzIcffphua017uuGB+oHt7+9PaGgo3t7edl1U3LlzJ9MyD5MjxeNIsUDW41EUhZiYGGJjY9m+fXuWk96ZM2f466+/0Ol01K1bl+DglC52udGF6emnn+bpp5/m6tWr/P333/z999+EhYWxdu1a1q5di7u7Ow0aNODZZ5+lVq1aGX4RzqsuVbt37+arr74C4PXXX+fSpUtcunQpw3XsjaVmzZqMHDmS+fPn88MPP3Dq1CnGjx+Pq6srFy9e5IMPPgDUMQvt2W9O43kYchLL9OnTmT59OpcvX6Zt27YMGjSIzp0756iVm614jhw5QlBQEBqNhpdeeilPz9/j2A2vXLlyFClShAsXLvDcc88REBDArVu3rMoYjUYiIyNzPPGSi4sLWq2W0NBQ/Pz8cHFxyfDvwWw2k5SURGJiYr5XJDpSLLkVT4w+hvB74QQUCEjTutLe9ePj49FpdSQlJeGWqOB+N5Z7YSdw1iepV86p3b0LyZNcFClCjLcbIdGh6GMM3DbFcNt416p46lnLbXW/S69bnsFgIPhSMF0qd5EKGSFEvnJ2dkaj0RAREYGfnx8ajYbERHWOHkWx/pjUaMzEeniQYPbCpNFhQodR44wJJ/QmHf6BOkrp4rly5QpRUVFc1mopVqwYJpOGu7GAAloN9zecfotIk0ltnKnVWg2daSX5891J65RyEw0NSUoSZqMZ5X6zUK2iJd4QT4QuIsM84oZbuhWo6TEkGTBg/81kR8vTqSXHlpCQwJ07d9BoNJKfhHhM5Hql5meffYZOp8twzLvUlixZQtu2bTPtGtm/f39Kly5NYGAgx44d45133uHs2bP88ssvNsvb0w0vWVxcHGFhYZlWgCmKQmJiIm5ubg7T9c1R4nGkWHIaj0ajoVKlStSpUyfL+12wYAEAL730EgMHDgTyrgvTa6+9hqIoHDlyhJ9++ok1a9Zw/fp1du7cyc6dOylUqBBdu3ald+/eNGvWDN3929F52aXqxIkTlnMwbtw4y9ii6clOLB06dKBly5b079+fgwcPMnPmTIKCghg/fjxGo5Hnn3+e2bNnZ+vv0JG6m+VWLH369OH1119nxYoVfPfdd8THx7NgwYJ0Z+/MajxxcXGWbq0jRoywjJ+cVx7Hbng3btzgzp07FCtWDIDGjRsTFRXFoUOHqFu3LgDbt2/HbDbneFZ7rVZL2bJlCQsLIzQ0NNPyiqKQkJCAu7t7vn+2O1IsuRFPciscvUlPpFMkRT2L2r8dRUExGomJiSDOyYTWyRm9kx7TvUiMCSYso3w6OYGrK7i5qY9UleXJ+08wJnA+5jzrQ9djUkxWu8lo1nIhhHgUODk5UaJECW7cuMGVK1cAteH6nTtWc54BoNEoJHonEBPjjqJYfx6bTGBQ1Dl9FEXh9u3b3L59m4iICLy9vbl3T51N3VbrzwcZjeDlBdfTmUw7+fPZYDbgpEkJUoOGRKdEYkwxlkpNAJNiIio8Kmt5JA84Wp5OLXVsWq2WEiVK4PTgH4AQ4pGUq99ODx06xFdffcXhw4ft+iC7ceMGmzdv5qeffsq07LBhwyy/16hRg2LFivHcc89x8eJFypcvn6a8Pd3wkvn4+ODl5ZVpt0aDwcCuXbv43//+l+8VHo4WjyPFktN4nJ2ds5XkDhw4wObNm3FycuL9999Ps9+86sLUsGFDGjZsyIwZM9i7dy+rV6/mp59+Ijw8nKVLl7J06VKKFi1Kz5496du3Lw0aNMiTeKKjo+nTpw/x8fG0atWKTz/91FKRmpmsxtKtWzf+/PNPOnXqxL59+6hWrRp6vZ7ixYuzZMkSXFxcsnsY2YonL+U0loIFC/Ljjz/SqFEj3nrrLVatWsWpU6f45ZdfbH52ZjWeqVOncvnyZUqWLMm0adPy/Lw5yvuSkXv37nHhwgXL88uXL3P06FF8fX3x9fVl8uTJ9OjRg4CAAC5evMjbb79NhQoVaNu2LQBVqlShXbt2DB06lIULF2IwGBg5ciR9+/ZNd+bzrHBxcaFUqVIYjUZMJlOGZR3lsz0qCk6cMKDX78LV9X9Ur+6Mj0++hQPk/Nxsv7ydSQcn4a5zJ8GYwKTmk2hZtqXtwjdvwrFjcPy4+jhxQu1SDnzePYAjtYvxSuFX2Hb8K9r8E8aB4vBsj7do3LRv2rHaUu1/4sGJ6Jx0GDFaXSCnlllrTSGEcHQFChSgYsWKlmu9qCgYPx70ekg976aLi4FXXtnFt9/+j6SklM/1qCj1vlBQEJbcs2zZMqZPnw6oQyRVr96Rjz9WK0v9/Gx/9CqKOrdQ4cLw1VdQurTteI+EHeGjfz4izhBntdxV48r7pd5n6rWp6BW91Wuezp581uozni72dFZOTa5ylO8MtiTH1qxZM9zd3aVCU4jHSK5Wau7evZtbt25RqlQpyzKTycTYsWOZPXu25e5YsqVLl1K4cGG6dMn6l+Tk1ioXLlzI1oX5g5ycnDL9cHNycsJoNOLm5uYQH9SOFI8jxZJf8XzyyScAvPDCC5QrV+6h7DM1rVZLkyZNaNKkCTNnzmTXrl2sXr2atWvXcuvWLebPn8/8+fMpXrw4devWxc/Pj8aNG+fKndTkCXrOnz9PqVKlWLlypd0VmtnVpEkT/v77b9q2bcuNGzfQaDT88MMPlhmkRQqNRsMbb7xB7dq16dWrF8eOHaNevXqsWLEi0zGSM3Lo0CFmzlRnPV6wYAFeXl65FfIj7eDBg7Ro0cLyPLnXwMCBA1mwYAHHjh3j+++/JyoqisDAQNq0acOUKVOsbsQFBQUxcuRInnvuObRaLT169ODrr7/OtRiTu11l9vmY35/tFy7Ad9/Br79CYqITs2YZeeMNN9zcnOnaFQYPhgoVHnpYQM7OjdFsZPbB2dyIv0GgVyCh8aF8degr2lRqgy46Vr3y9fVVC//2G3TtmmYbemctx4o7EZ2o46Zei9FoZF/he+zu7EpobCj/3FzFRtcBNltXJu8/JD6EQK+MK8qltaYQ4nGQ+lovIAAaNlTzS2BgylDDLi7q5/rNm26WSk2zGUJDYcgQdb1kw4cP5+zZs8yePZv+/fuzZcsWJk5sxmuvweHDaovOggXV1qAmE0RHqy1EAwJg4kSoVCn9WGuVqMW4/42zOV6x8ZKRsU3H2hyvuFaJWrg559/EN/n9nSEjybG5urpKhaYQj5lc/WY6YMAAWrVqZbWsbdu2DBgwIM2YmYqisHTpUl566aVsfegdPXoUwNJdT4j8dPToUdavX49Go+G9997L73BwcnKiRYsWtGjRgjlz5vDnn3+yevVqfvnlF0JCQggJCWH9+vWULVuWPn360KdPH2rVqpXtCs5p06axfv16XF1d+fnnnylSpEguH5FtVatW5d9//+Xtt9/mueeeo2XLdFo5CQCeffZZDh06RM+ePdm7dy8dO3Zk8uTJvP/++1ke+8hoNDJ06FDMZjN9+/ZNMynck6x58+YZjse7efPmTLfh6+vLihUrcjOsbDl27BhJSfbNlJrb9uyB116D8HDw8FBbvoD6MyJCvRgNDoYFC6Bx43wJMduCz23k2rXjVDN7UfLWPXpeUqh4aTeJH5SmwNVQ+OQTeP99tXCdOupVcfXqUL8+NGjADr84Bp7/HC9PX9x0bjzYNj2z1pX7Q/Zz6e4lTIqJ6zHp9H98wMXIi+wP2U+Tkk1yePRCCJH/Bg9Wc0hYGBQrZnsmdLNZfT0gAGxN//Dll19y48YN1q5dS9euXfn7779Zu7YaS5fCunXqiB8mk/oR7uMD/fur28nsZpyMVyyEEPbLcqVmRt3qSpUqlaaVlLOzMwEBAVR64HbU9u3buXz5Mq+88kqafYSEhPDcc8/xww8/0KBBAy5evMiKFSvo0KEDhQsX5tixY4wZM4b//e9/1KxZM6uHIESuS26l2adPnzR/6/nN2dmZdu3a0a5dOxYuXMjGjRuZPXs2hw8f5vLly5bJZCpVqkTfvn3p06cPVapUsXv7mzZt4qOPPgJg3rx51KtXL68OxaaSJUuycuXKh7rPR1nx4sXZsWMHo0ePZuHChXz00UccPHiQH374gYKp+2BlYtasWRw5coRChQoxe/bsvAtY5Jt58+YxevRoOnToQFcbLQXz0oULaoXmzZsprWiSG1Y4OamNGH181IvN116DtWsfcovNxESIiMAl9Riv9+7BypVqc5yoqJSfyb+3bw8TJmA0G/nxz1mc+SAcCH9gwwnqj6tXUxaVKAExMWrNLmory2lBHTBo1VaUtmTWurJ2QG1mtp2ZthVQBpydnKkdUNvu8kII4cgqVFBvir32mtoS090dihZVXzOZ1G7kyS0rFyywnWO0Wi3Lly8nPDycv//+m/bt27N3716mTg1k7Fg4dEidad3TE+rWTWmAL4QQIvdkuVIzo251y5Yts3s7S5YsoUmTJlSuXDnNawaDgbNnz1pmuXVxcWHbtm3Mnj2buLg4SpYsSY8ePSwzHQuRn06ePMnPP/8MwPvJLWsclKurK507d8bJyYnmzZuzZcsWVq1axcaNGzl79iyTJ09m8uTJ1KxZ09KCM6PhHS5fvkz//v1RFIWhQ4cyZMiQh3g0IrtcXV1ZsGAB9evX5/XXX2f9+vU0aNCAdevWUbVq1UzXv3TpEhMnTgTUVgr+/v55HbLIB2XKlMFoNPL777+zc+fOND0x8tJ336ktNFN3C3yQVqu2rgkNhaVLYepUOzeuKGolYeqKx9Q/q1eH5s3VsmFhMHBg2jJ6Pc5ApQ4doG9ftWx8PKQa/zuN+0PzBJ8P5kDcOQD0Og1RBXScLenBf6Vd2FPMxIDBX9G+0Ysp62k0lgrN5PVPRpzE1z3jq+OMWmum1wpICCGeJI0bqzfFkltWRkSoyyMi1EpOe1pWurm58dtvv/HMM89w5swZOnTowK5du/D19aZ164dzHEII8STLcqVmZt3qHvTgOJrJMupWV6ZMGat9lCxZkp07d9q9TyEepqn3r6R79OhB9erV8zka+3l4eNCrVy969epFTEwM69evZ9WqVWzZsoVjx45x7Ngx3n//ferXr0+fPn3o3bs3JUuWtKyfkJBA9+7duXv3LvXr12fOnDn5eDQiOwYPHkzNmjXp3r07586do0GDBixbtoyePXumu46iKLz66qskJCTQsmVLBg0a9PACFg9Vx44dGTJkCEuWLOGVV17h2LFjeHt75/l+IyPVMTQ9PGxXaDqb9RQwRJKkceWezgd3d9i+NpI4v5/xNKaqeExdCdm7N4wYoW7g/PmMBzMbOTKlUlOrha1bbRZTNBq0qScY9PGBzp3VnwULqo/k3318oEIFjGYjc/fPRe8ETeY+TZKz9QGGxoZy58JyWjfom+5YmHP3z0VRlHRbaSaTsTCFECJzFSqoN8XGjoWDB9XWmQsXQr169res9PX15Y8//qBx48b8999/9OjRg40bN+Z44kohhBCZk2+4QuTAuXPnWL16NcAj3XLY29ubF198kRdffJHIyEjWrVvHqlWr2L59OwcOHODAgQOMGzeOpk2b0qdPH3r27Mm7777L0aNHKVKkCD///LPVJCfi0VGvXj0OHTpE37592b59O7169eLtt99m6tSpNid7+vHHH9m2bRtubm4sWrQoVyaaEo7r888/Z8OGDVy9epXRo0fz3Xff5fk+Dx5U6yKTuwEW01+h1d01tIpeQ+Xe//H8/TE+vw34gIXFp1CwIOhCI/Ack0ErydRD1SRPXevqal3pmPyzdu2Usr6+8MMPNssZ3dz4b9MmiieXdXGB9eszPLbgs+strSyTdGlrbLM7Fqab1g2KQkhsCInmRKt1ZCxMIYTInK8vtGihjrPZogVkdcjKMmXKsHHjRv73v/+xbds2hg4dyrJly+R7khBC5DGp1BQiB6ZNm4bZbKZz587UTn0h/Ajz9fVlyJAhDBkyhJs3b/Lzzz+zatUqdu/ezd9//83ff//NqFGjUBQFrVbL6tWrrVpwikePn58fmzdvZsKECXzxxRd8/vnnHD58mJUrV1pN+hQVFcX48eMBmDRpEhXya9pp8dB4eXkxatQoPvjgA5YuXcrzzz/P888/n6f7jI9XxzMLNF1nxvkeVIs/YLOcq6KOP+nkBBFKEcLqd6ZYZR/rysfk31MPdePnpzbFcbNjhlhnZxgwwPZrBvvHowT7WllmeyxME3AJZraeaXNGXBkLUwgh8l6dOnVYu3YtnTp14ocffqBUqVJMmTIlv8MSQojHmlRqCpFNly5d4scffwTgww8/zOdo8oa/vz+vv/46r7/+Ojdu3GDNmjWsWrWK/fv3A/Dpp5/KjOOPCZ1Ox4wZM6hfvz6DBw9m27Zt1KtXj19++YU6deoA8N133xEZGUmtWrUs4ymLx1+1atV46623+PLLLxk6dCiNGzemaHIzytx05QpcvoyHRwucnOCmthiBSZcxoeWwVzN2FOlO7bd1fP5dT6JMvigataWjyQQxzoU5MXU9xewZv0yjsa9CM5fl5ViYMiOuEEI4hnbt2rF48WKGDBnCJ598QsmSJRmW0XjLQgghciSd4feFEJmZPn06JpOJtm3bUr9+/fwOJ8+VKFGCMWPGsG/fPi5evMju3bstrfbE46N3797s3buXChUqcPXqVZ555hm+//57Nm3axK5du9BqtXz77bdScfKEmTRpEtWrVyciIoJXX301S2NrZ+jqVfjiC2jQAMqWhYEDqVfHjI8P3I3V8W65NbSvGcprT21nXcCrxBcrRpyuoKVCE9QhM3181JllHVV2x8I0mo0PKUIhhBC5ZfDgwUyaNAmAN954g9u3b+dvQEII8RiTSk0hsuHatWssW7YMeHxbaWakXLlyNG3aVMYJekxVr16dAwcO0KlTJxITExk0aBD9+vUD1C/n9erVy+cIxcPm6urKjz/+iLOzM7/++is//PBD9jd27Rp8+SU0bAhlysD48XDggDopT/ny+BJJ165qN/QDns2JdPZPd1Nms9qTvFs3+yd0yA8PjoWZ2cOkmCxjYQohhHj0fPTRR9SsWZOkpCT++OOP/A5HCCEeW9L9XIhs+PzzzzEYDLRo0YJnnnkmv8MRItf5+Pjw22+/MWXKFCZNmkRcXBx+fn5MnDgxv0MT+aRWrVp8/PHHTJgwgVGjRtG8eXNKly6d9Q198QXMmaP+rtFAs2bq7OTdu4O/WoE5eLA6WUNYGBQrZnsWdLNZfT0gAF5+OQcH9hCkOxZmBmQsTCGEeHRpNBq6dOnCsWPH2LBhAwPSG59ZCCFEjkilphBZFBoayrfffgs8ma00xZNDq9UyceJE6tevz/z582nWrBkFChTI77DEQxIZqTagBNi+HerXh/Hjx/P777/z77//8vLLL7Nt2za0tmocQe1avnYtrFkDn32mVl4C9OkDx46lVGQGBKRZtUIFWLAAXnsNQkPB3T1lNnSTCe7cUVtoBgSo5Rx9zqr0xsIUQgjx+OrUqROffPIJmzZtwmAwyNA9QgiRB6T7uRBZNGPGDPR6Pc888wzNmzfP73CEyHMdOnRg3bp1PPXUU/kdingILlyA996Dpk3VSkVQfzZtCh9+6MTHH3+Pp6cnf/31F19//bX1yteuwcyZ0KiR2rV83DjYtw9++imlzDPPwI4d8PrrNis0kzVurNaJDhmiVmpGRKjLIyLU50OGqK83bpyrhy+EEELkivr16+Pn50dMTAx///13focjhBCPJanUFCILbt26xaJFiwC1laaMKSmEeJzs2QM9e8J330FiIvj5qcv9/NTn330HY8dWYMSILwF49913OXXqlFrT2LgxlC4NY8eqFZnJXcvnzoVstmqvUAGmToW//4aFC9VlCxeqz6dOdfwWmkIIIZ5cWq2Wjh07ArBhw4Z8jkYIIR5PUqkpRBZ8+eWXJCQk0KBBA9q0aZPf4QghRK65cEFtkXnzJgQGqhPvODmprzk5qc8DA9XXj65vx1vV66HX63nppZcwFCyoDnCZuiIzJERtkTliRIYtMu3h6wstWqi/t2jh2JMCCSGEEMk6deoESKWmEELkFRlTUwg73blzh3nz5gHSSlMI8fj57jsID1crLm0Nk+mfdI1Wd9fyXMwaaobvJc7Nh+U+Phw6dIhPpk5lclAQlCunzuwjhBBCCFq3bo2zszPnzp3j3LlzMpSPEELkMmmpKYSdZs+eTVxcHE8//bSlK4kQQjwOIiPh11/Bw8O6QtNPf4Ny69ez+PizbDxemjE3xlIzfi9mNJzS1uSr96YCMHXqVPY7O0uFphBCCJGKt7c3ze5PlLdx48Z8jkYIIR4/0lJTCDtERUVZJsT44IMPpJWmEBmJj4etW8FotH8dnQ5at1Zr1cRDd/AgREWlzDCerPvNRdT47jsAzGg4UuBZ/izUiy1ePTh1txjf14Z+/f5m5cqVvPTSSxw+fBgPeQ+FEEIIi06dOrFt2zY2bNjAmDFj8jscIYR4rEilphB2mDNnDjExMVSvXp2uXbvmdzhCOLajR9XJYmJj7V/Hywt++AGaNMmzsET64uPBZEoZQzPZn4V70rHg73wfP4ytXr247RIIgKKo5ePiYO7cuezcuZOzZ8/y7rvvpp0RXQghhHiCderUidGjR7Nr1y6io6MpWLBgfockhBCPDel+LkQmYmNjmT17NgDvv/8+WluDzQnxGIuMhO3b1d+3b1efZ6hBA3VsRScnKFky84eTE5Qvr64n8oWHh/o2mEzWyy941uKfadP4udjrlgpNSKkA9fQEX19fvrvfmnPOnDls27btYYYuhBBCOLTy5ctTpUoVjEYjmzdvzu9whBDisSItNYXIxPz584mMjKRSpUr06tUrv8MRjuIJ6GJ94YI6ecyvv0JiIsyapc6O7eYGXbvC4MFQoYKNFXU6GDlSLZyYqK6QnsREdcbsESPU9US+qFcPfHwgJsa+mcWjo9Xydeuqz9u2bcvrr7/O/Pnzefnllzl+/Dg+Pj55GLEQQgjx6OjUqROnT59mw4YN9O7dO7/DEUKIx4ZcQQqRgbi4OL788ksA3nvvPZwe7JspnlyPeRfrPXvUOsnwcLUO1s9PXe7nBxERamVncDAsWACNG9vYQIcOUK0anDihTqednshIqFFDLS/yja+vWlH93XdqZWVGDdLNZkhIgP79rStAP//8c7Zs2cKFCxd44403WL58eV6HLYQQQjwSOnXqxIwZMwgODsZkMsk1hRBC5BLpRytEBhYtWkRERATlypWjf//++R2OyC3x8fDbb/Dzz9aP9evV19evT/vab7+p6yV7jLtYX7igVmjevKnWR/r6poy16OSkPg8MVF9/7TW1fBrJrTU1GrU1pqJAUpJaI5ZMWmk6lMGDISAAwsKs36bUzGb19YAAePll69c8PT354Ycf0Gq1/Pjjj6xduzbvgxZCCJHvdu3aRefOnQkMDESj0fDrr7+mW3b48OFoNBrL0E7JIiMjeeGFF/D29sbHx4chQ4Zw7969vA38IWrSpAk+Pj7cuXOHffv25Xc4Qgjx2JCrSCHSkZCQwIwZMwCYMGECOql0eXyk18rSzQ2+/hreekutcEvtwVaWj3EX6+++U1toBgam32JPq4VixSA0FJYuhalT778QFaVWAF+5Apcvq8d+5oxaG6YoUKkSFCiglpVWmg6lQgW15e1rr6nvq7t7ymzoJhPcuaO20AwIUMvZGnqgcePGvPvuu0ybNo3hw4fTtGlTAgICHu6BCCGEeKji4uKoVasWgwcPpnv37umWW7duHXv37iXQRg+OF154gbCwMLZu3YrBYODll19m2LBhrFixIi9Df2h0Oh3t27dn5cqVbNiwgSaPQK8dIYR4FDj+1bUQ+WTJkiWEh4dTqlQpXnrppfwOR+Sm5FaWD3aNdnFRfxYvrrYqTBYaaruV5WPYxToyUh1D08MjVYWmouBuukeB69dpeHczfvEhBCRdpVjSVYrEXeWvb7sROXas2hU5MhIGDUp/B8ljkD5iFb1PisaNYe1ataJ63Tp1qAFQf7q7q13OX345nbFU75s4cSLBwcEcPXqUV155hd9//x2NRvNwDkAIIcRD1759e9q3b59hmZCQEN544w02b95Mx44drV47ffo0mzZt4sCBA9SrVw9QJ57r0KEDX3zxhc1K0EdRp06dLJWa06ZNy+9whBDisSBXkkKkI7nr5NixY3FJruwSDicyEg4eVHuGe3ioE55kOtFJbrWytGc7Wa28UxT1kSwpCa5fB73e9qN8eahSJeVkLF+eftmWLaFPH7XszZvw4otpyrhF6fnzlp4thfszx1dtqVzQdIc/D/vBfnjORshXY8ty6JA6BxIlSqi/lC6tPkqUgHnz4OpVtRt+cuXWI1TR+6SpUEFteTt2rPq/lZAACxfa+b8FuLi4sHz5curWrcvGjRtZsmQJr7zySt4HLoQQwiGZzWYGDBjA+PHjqVatWprX9+zZg4+Pj6VCE6BVq1ZotVr27dtHt27d0qyj1+vR6/WW5zExMQAYDAYMBkO24kxeL7vrZ+a5555Dq9Vy/PhxLly4QOnSpbO0fl7Hl1OOHJ8jxwYSX044cmwg8WVVduLIcqXmrl27mDFjBocOHSIsLIx169bRtWtXm2WHDx/OokWLmDVrFqNHj7YsL1OmDFevXrUq++mnn/Luu++mu9/ExETGjh3LqlWr0Ov1tG3blvnz5+Pv75/VQxDCLsl/o6m/YAnHkXpm7qgotXusk5M6yUmGM3Mny2krS5NJ7VKdvJ2jR9VKTYMh5TVFUWtbCxRQlyc7csRmhaLlMXUqjB+vlj15Eho2TD++CRMg+W7/nTuQ6rM2DTe3lEpNkwm2bUtTxOP+o6A50rLMqFEr9Q0eHlylHKHOZQh3KU3Y/cc/0dUZG3e/sIsLbNlivVFfX7XiV69XY3jMW2nmRp48d+4c48eP559//iEpKYmaNWsyZcoUWrRo8XAOAvVta9FCnRCqRQtwdrZ/3erVqzN16lTGjx/PmDFjaNmyJeXKlcu7YIUQQjiszz77DJ1Ox6hRo2y+Hh4eTtHk8U7u0+l0+Pr6Eh4ebnOdTz/9lMmTJ6dZvmXLFjw8PHIU79atW3O0fkYqV67MqVOnmDFjBh2yeWM3L+PLDY4cnyPHBhJfTjhybCDx2Ss+9RwWdsry1WRujJkC8PHHHzN06FDLcy8vrwz3O2bMGDZu3MiaNWsoWLAgI0eOpHv37vzzzz9ZPQQhMmUymQgJCQGgVKlS+RzNYyA+HrZuTel6nJpOlzJBz4PLW7dWm18+4MGZuYsWVSs0TSaIibFjZu7k7T/YytJkQpvqrj8xMXDvHri6wsCBauvGW7fUR0SE2nxt6FB1O4MHqy0qbUlMhIsXU54bjXDqVPrnK3UMbm7g6anGYOuR+jPWx0ettEyvbOrKUV9f+PHHNGX2HXXlw09cU6Y7B+K0XjzXIJJR7+3is886kJSUUrtlNMKtRDXEdD1YgfyYt9LMjTzZqVMnKlasyPbt23F3d2f27Nl06tSJixcvPjJjVI4ZM4bff/+dXbt2MWjQIP766y+Z7VUIIZ4whw4d4quvvuLw4cO5OhTJhAkTeOuttyzPY2JiKFmyJG3atMHb2ztb2zQYDGzdupXWrVvjnJU7eVlw6tQp3nvvPa5du5blSs2HEV9OOHJ8jhwbSHw54cixgcSXVcmt7rMiy5WaOR0zJZmXl5fdF2bR0dEsWbKEFStW0LJlSwCWLl1KlSpV2Lt3L40aNcraQQiRiZs3b2IwGHBycqJYsWL5Hc6jLzcm5rnvwZm5U09ko9OpdXU+PuoMza+9po4PmKbFZnw8nD6ttmx0cVE3qig4JyVRcseOlHJ37qgx//677eO6dUv92aEDVK4Mhw6pcet0akvE2Fh1fM7Ro61rVytXhu3b0698TH2Tp0oVtWLVHn5+sGqVfWXd3OCFF9IsrlgDbixS3w7f5PpkjYYEpwI2NxMdrZ7vunUz2FfqCuTo6Me6lSbkPE/evn2b8+fPs2TJEmrWrAnA9OnTmT9/PidOnEg3dzpiV7xvvvmGunXrsnv3bmbMmMHYsWOztZ3ciCW3OVI8jhQLOFY8jhQLOFY8jhQLOFY8jhjLo2r37t3cunXLqpGAyWRi7NixzJ49mytXrhAQEMCt5O9U9xmNRiIjI9PNea6urri6uqZZ7uzsnOML89zYRnqef/553nvvPf766y+SkpLwzPCusG15GV9ucOT4HDk2kPhywpFjA4kvK3FkVa5fUWY2Zkqy6dOnM2XKFEqVKkX//v0ZM2ZMurNLHzp0CIPBQKtWrSzLKleuTKlSpdizZ4/NSk1HvLjLbY4UjyPFAjmP5/LlywAUL14cs9mM2WzOt1hyW07juXtX7T2dkKBOHPL001CoUCYrPf20Ouv16dPq1MnJsdwfq9RQtqz1xDzh4WrF39NPW3fbBr7/Xu1uXrp0+jNzg/r63bBENn9+ltJv+6gLAM2OHTi1bYsm9biVqbjGxKhx6fXg6YlT7dooTz8NRYuiFC2q/vTzU5uH+vmlxDd+vFo56+OjVkwmd7WePj2lRWJyWTc3aNo0w1OWX383Xl7Qo4c6NKdOl3KOXVwMVj8hpYd9jx7qehmG2ro11K4NBw6oEy61bp3JCrY5yv9RTmSWJwsXLkylSpX44YcfqFOnDq6urixatIiiRYtSN4PaY0ftijdw4EDmzZvHhx9+iLu7O2XKlMm3WPKCI8XjSLGAY8XjSLGAY8XjSLGAY8XjCLFkpyueIxkwYIDVNRxA27ZtGTBgAC+//DIAjRs3JioqikOHDlny3Pbt2zGbzTTMaAieR1CVKlUoW7Ysly9fZtu2bTz//PP5HZIQQjzScr1SM7MxUwBGjRpFnTp18PX15d9//2XChAmEhYUxc+ZMm+XDw8NxcXHBx8fHarm/v/9jN85KdjhSPI4UC2Q/nuRhDTw9PQkODs7XWPJKTuPRaNTWfHv22LnCsGHpxzJmjO0XHhybEXWykgeHOdWYTBS4cQOv69fxvnYNr2vX8L5+Dc/wcDTfmDkb3Zsz/fsD4B4RQRtFQe/tTUypUsSWKkVsyZLq7yVLYvDy4lxG3aMMBnU29NDQtK+l8xlGDv6G8uPvxtY5TjZmjO147DrEYcNS/g5svLf2eNQv7iDzPKnRaNi2bRtdu3bFy8sLrVZL0aJF2bRpE4UyuIPgqF3x2rdvz5UrV9i4cSPfffcd//77b7YmX3O07jGOFI8jxeJo8ThSLI4WjyPF4mjxOFIs2emK97Ddu3ePCxcuWJ5fvnyZo0eP4uvrS6lSpShcuLBVeWdnZwICAqhUqRKgVvS1a9eOoUOHsnDhQgwGAyNHjqRv376PzcznyTQaDZ07d+brr79mw4YNUqkphBA5lKuVmvaOmZL6oqtmzZq4uLjw6quv8umnn9rsRpAdjnpxl5scKR5HiiU34jl37hyg/n1mdxDv3Iolt2Unnv371UaIN2+qrTO9vdUWfGazOuxkQgL4+6t1eg0apLMRoxF69rRqrWlwcWHrmDG0njUL5+SWmuHhULUq/PQTxMVBWBiamzchPJwLf99k5+owSupucqxgU9b7DwGgRMJ5fjraw+Zuo7SFcNaWTXkfFQVD+/ZoixbFB/ABtUburbcwFC3K1nffpfX06TjfuqUeUFbe//vbwd1dPSlZXT+V/P67Sf2eu7mBn5+BceO28sUXrYmIcCYx0Y73/EFmM/z3H9SqlXEz2ww8Chd3GbEnTyqKwogRIyhatCi7d+/G3d2db7/9ls6dO3PgwIF0h8Rw5K54S5YsoXr16hw7doypU6cyLXlyq3yIJbc5UjyOFAs4VjyOFAs4VjyOFAs4VjyOEEt+798eBw8etJrILvkabODAgSxbtsyubQQFBTFy5EjLDOE9evTg66+/zotw812nTp34+uuv2bhxI2azGW02vxMJIYTI5UpNe8ZMsaVhw4YYjUauXLliuWOXWkBAAElJSURFRVm11rx58+ZjN85KdjhSPI4UC2Q/nuRJgkqXLm3/+plMhuP8xx+k2VIGk+HkNXvPzYUL6vCHN29CsWJqXZTJpD5AnSDG3R2uXVPL2RzDUt0hvPpqyriKWi0ao5HSmzfjevEiTomJ6viWoLbmi4pSx6NMpfL9BwAKrC00HIAr2krc0RUlxLUcF92rc8mtGpfcq3HBtRpHbxZjUR8N5VIf6gPbpWNHmDdPPVjA+eZNnP/P3n1GNZW1bQC+QwcRFSyIgFjR14LYwS5FQXAc+1hn7DNW7A27YsEu1rF3nbEiClhGLKCCIhZEUUClKwoCAoHs70e+RCKglCTnAM+1FktJTrlzAuzkyS4NGohvL8q8j5Lj+PuL5wIt6v754Op3qkMH4OhRYP9+4OxZ4P9/JRAdrQ4tLXUMHQr88cdPVpjPT6EroPnj09+X4ihMO3n9+nV4enri06dP0g/htm/fDl9fXxw8eBBz587lKn6x1ahRAzt37kT//v2xZs0aODk5wfq7+XIJIYSUTl27dgUrYFqf/OT3nlBfXx/Hjh2TYyr+6ty5M3R1dREbG4tHjx79cGoZQgghPybXomZh5kzJT3BwsHR4XX5atWoFdXV1XLt2Df36iXtjhYWF4e3bt7AqcGljQorv3f+vYl2klc/luBgOn+zbJ+48+f2iPLmpqIgLnjEx4iLYypX/f0dSkvgxS4YOtWolLmj+/9BtNQAtXrz4diAtLaBzZ3HvRsbEY9wrVRL37DQ0RCwMceFBTXzVM8QrXUvpbiKBKno0jxNvn0t2NqCq9pOVuYFvC9lIhsEXdyEbyXHevy8TC+HUry9+LmfMAAIDxZ1Pd+4UD03X1+c6XelUmHZSMsT++54bKioqJZrfl2v9+vXD8OHDcfjwYYwYMQLBwcHQ1c1/ASpCCCGkrNLU1IS9vT3OnDkDT09PKmoSQkgJFPkdd0nnTPH398e9e/fQrVs3VKxYEf7+/nBxccGwYcOkc4VFR0fDxsYGhw4dQtu2bVGpUiWMHj0a06dPh76+PvT09DB58mRYWVnRyudEId6+fQsAMDExKfxObdsCdesCT59+K+IB33of1qoluxhOTAxQr16Je64pUlIScO6cuCNpQQVNARPBLOMFTDNfolpWGBp6hEF4NQzqb14CHz6IV9g+ckS8cY0a4gV0AEAgANPSQlzTpqgeFQVVxsTdP3MXA9PTxYXO/6eZBGzu+P8rc38/i0Q+Q3kLtTK3hKMjsGuX+P+NGxd72DicnMTPf8uWxdufh/T1gW7dxKPru3UTd7olBStpO2llZYUqVapg5MiRWLRoEbS1tbFnzx5ERETkWSm9tNmyZQv+++8/vH79GrNmzcKOHTu4jkQIIYQonZOTk7SouXjxYq7jEEJIqVXkomZJ50zR1NTEiRMnsGTJEmRmZqJOnTpwcXGRmf9SKBQiLCxMZkGIjRs3SudXyczMRI8ePbB9+/aixiekUIrVU1PSS+/PP8VVt1zFuDwyMorfG1ARhEJxwTV3l8arV/HWLwV2MV9gqPsFFWO/QEf0BRVyviBWozaOGM4EAKiybBx/3hxqyPm27/1cx/706dv/1dTEC8QsWgSEhyO7Th3cnzMHjmvWQDUyUrzaee5i4nfXUF8f6NNH3Hu0cuUfT8soEol7Fg4ZUshehWpq3xaxGTu2+M+LikrBq+yQcqGk7WTVqlVx5coVLFiwAN27d4dQKESTJk1w/vx5WFhYKCq2UlSuXBn79++Hra0tdu7cid69e8PBwYHrWIQQQohSSeZ6DwwMRGxsbIHzZRNCCPmxIr9rL+mcKS1btkRAQMAP9zEzM8tzDi0tLXh4eMDDw6PQ5yakODIzMxEfHw8ACAkxQUJCEYbbOjoCTZrk7a35vaQkoFmz4vcGlBCJgLAw8ZD3/L7MzIBBg8TbMgY4OkI1JQVdY2Kg5uLybbvMTKBnT+Dy5W/H/vVXtEhNxWYASJY97eMKVtKiZraKBl7qtACDAG81GyIkyxzdJ5ijzdCGQMOGecd+d+sGzJolLv5Kem1mZha6yDtqlLjHYGzstzk+87sssbHiUes/mPkir549gStXxP8SUkzymFusdevW8Pb2lmMq/rCxscGUKVOwZcsWjB49Gk+fPoU+zWdACCGkHKlRowbatm2L+/fvw8vLC6NHj+Y6EiGElEo86CJGyDciJsLD2IdoWbMlVATFXwlQxEQy/xZWeDiwfv17AIBAoIOZM/WhpibuFdinj7ig9sOFUQrqrSkZWi0UiodUC4XiuSMvXxYXFY2Nxd8D4v2mTCm4UOngIJ64EhBX7/73v4LzODh8K2oKBICfH1TS01Epv22/nwu0XTt8isvAo/CKyNaqiAw1XaSpVkS6SkVEa9aV2XRE40AA4jksExKAlj0AWKJgkuKvZIjup09A06aFKvLWrw/s2CG+xDEx4kWKKlUCVFXFlzg5WdxD09BQvF2RFrKRVEhpFUpCFMrNzQ3e3t4ICwvDX3/9hRMnTnAdiRBCCFEqJycn3L9/H56enlTUJISQYqKiJpGL4hYRv+f50hNzr87FatvV6G3eu9jHuRJ+RfrvL//7pVD7+PuLC2WS+TQ1NExgYiJATg6QkiIe8uzlJS6U/XB9qg4dxF0IIyPFPSUBqKemQv3+fdntFi789v/ffvtW1FRTA/bsKfj4CQnf/q+mJp6rU1VVvOjQ918tWsjuu3cvsgUC3A8NRVsbG6hVqSK7fW5Xr4IlAZMkc1gWoiNVoeewLOHCPFZW4lXWJStzJySIC5qqquLzDxlSzJW5CSFKoaOjg8OHD8PKygonT55Enz59MHjwYK5jEUIIIUrj5OSERYsWwdfXFxkZGdD60dRVhBBC8kVFTSIXxSkifi9blI1t97fhXco7eDzwgGMDR6ipFP1HNFuUjd1BuzFObxz2PNyDXo16/fQ44eHigmZ8PFCx4lt8+gRoaJhCIBDX2fT1xcWy2Fjxdv/88/8Fs69fxaueP3jw7SssTHxQLS1xNVBDA9na2t9OJhCID1it2rdiYu7elmpq4iWndXTyL1RWrSob/v37wl+cwYPBhEIkenmBtW//0xVfFDqHZQkX5sm9MndQEJCWJh7p3qoVrcxNSGnQpk0bLFy4EEuXLsVff/2FTp06oVatWlzHIoQQQpSiRYsWMDIyQkxMDP777z/0pOmPCCGkyKioSUqsOEXE/Hi98sKzxGcwrGCIpwlP4fXKq1i9Nb1eeeHFhxeAHhCaGFqo4+zbB8TFiafBjI8XLxKkoSG78rm6QIhmVRMREmeE/fuBlUuE4gJjrgWtpMzMxF0Hk5IAPT0wNTUI27aF+tu3QPPmwKVLP+6VOH9+UR+2wihsDks5Lcyjrw/Y2RVrV0IIxxYsWIBLly4hMDAQo0ePxuXLlyEQCLiORQghhCicQCCAk5MTdu/eDU9PTypqEkJIMdDEcRwQMRECYwJLPFSbL6RFRHwrIhaVpJcmYwyVtCqBMQaPBx7IFmUX+zgACnWcpCTg3Dlxx0gVFUAl8w3MAFhBAIePRzDj3VTsfWGNm4/0sPmNM7S1xUOek76oi3sY1qgBODkBS5eKq38JCUBEBLBtm7hXpmQxnOxs8Qn4suJ5IUnmsKxRQzyH5ceP4ofCmPjfjx/Ft9eoUYw5LCUv3uhFHCHlkrq6Og4dOgQtLS14e3tj586dXEcihBBClMbJyQkA4OnpWaRFBgkhhIiVnspKGSKveSP5oKAiYlGHjkt6aTbIqogKn7KgDT1EvA3B5Wfn4dy0r7g4WITjGGobAgCqaFcR9/p8cRG9DazF3TG/+/oSkYPPn7egenXxMc5+OoPWAPBxr/grF8Ost9DXy0ZsohqCggC769fFQ8Lzy1eCxXD4RmFzWNLCPISUe40bN8bq1asxbdo0zJw5E7a2tmjQoAHXsQghhBCFs7GxgZaWFqKiovDs2TM0bdqU60iEEFKqUFGzCOSxGI685o3ki/yKiM/jnsgO+fbxEc/7+PGj+Csp6du/lSoh+8w/0sLo3x7v0CD667cTLOgv/ldLC6heHYiK+nbf+PHAw4eApiagpQWRhgb0E4KwTZSCTH0GTAY01TTBGEP9X/4AwpPzfQy1NLSRU2kzVFXFhclY5CADQKKaIT5o1ccLnZZ4rtMGzyu0wVvNBgBUkJMjnsMRenoFX5wSLobDNzSHJSFEUSZPnozz58/jxo0bGDlyJPz8/KBWSv9WEkIIIYWlo6MDGxsbXLp0CZ6enlTUJISQIqJ3DEUgj8Vw5DVvpEIwJl7pJSUl75eamniItcSiRRCFv0L10Kv4JyUFBsLPMM4YC9uUj4ipJMAkw1wF21mzgJCQ/M9Zvbr0muhr6yNJLxXCOAHUc74bfpGRIf7KLTQUCAyUfqsCoOP//z9TPQ5XJomPoa+tj7ean9BYIICgWjXxxI+GhuIJIg0NEf7ZEOrnRcjJUYWqKsMgxvAVQBPz/6ClZZ4nck62uIdihQqFuKYlXAyHj2gOS0KIvKmoqODAgQNo1qwZ/P39sXbtWszn0dzChBBCiKI4OTlJi5pz587lOg4hhJQqVNQsJHkshvP9vJFpX9Lk01uTMSA1VVx8zMkBTHItcHP8uHis8PdFyuRkoFYtYM+eb9vWrw+8eZP/ORo2lC1qnj8PlZAQtJfekAVAvGCOfrqqbMG2Y0fA2BgwMBBXxHL9m2Ogj2333cEYg5aaFiZOawgAEIgY1HMYkj7FwKJKIxx13As19t0Qb3d3IDERyMhAztd0bLy5Gh+S3qOaqh40RSowFYl71GqpaWHKb5VQz7gZLg6/nOdaV08C9PzEl0VPLxlfWRqAvAsFSSQni4dct2pVwPORm5wWwyGEkLLO1NQUW7duxciRI7F48WI4ODjA0tKS61iEEEKIQvXq1QsA4O/vjw8fPqBq1aocJyKEkNKDKiyFVJwVtfM7hqRHIiDuQSgt/rGG4mpZcnLeAqSh4bfCGCBeVCU6GmopKXD4+BFqX7+Kl58GgLZtgXv3vm07dy7w9m3+gcy/64Uo6XooEIiHVef+qlNHZtOcyZOw54Y7XgnjoVbFAJnamuhr9Du2ZR3HhwoMTJTwrWDr4VHgNbkUdgHPnny7JhJMRYAsFQHU9KvidsYreGU9y3u927aVOc7GhM+oomUCLTUtaAg0MEdVVXq/RpWqCPn4PN/nTV8f6NNHvAK6pqZ45XNVVQOoqOjkySsSiTuzDhlShCHXPXsCV67QYjiEEPITw4cPx7lz53D27FmMGDECDx48gJaWFtexCCGEEIUxMTGBhYUFHj9+jCtXrmDYsGFcRyKEkFKDipqFUKzFcBgDTp8G4uOB+HiI4mJRPegCPD8mwzDtA0Jr62D2hHrSYzlPDIAgJSX/Y7VrJ1vUfP4cePcOAgAaubdTURGfNzdHR/ECNbkLlJUqif+VrIwjcf26eO5KyTLgP3CpUw0sT0lFFS1jaRGxW3VzvE/QRhbLgn62/k+H1+e+rlpq+b9p1VLT+un1lsdxRo0SL1weFSUuAGtomOY5hkgExMaKa8x//PHDyyOLFsMhhJBCEQgE2LVrF+7cuYOnT5/C1dUV69at4zoWIYQQolBOTk54/PgxPD09qahJCCFFQEXNQpDOg6lVA0a3b2NClBCan+4i+oIjan/VlBYu0bo18O+/4p0EAmD0aPGwcIjne2yf65iJldQBfOutmVJTH5UMDPL2kNTTA75fBXbfPkAgQLaODm4+eoTOTk5QNzAQFyO/X4V7x47CP9BCDnWQVzHy+56rBZHp0ZpPgVQex6lfX3ypBgx4h8+fAcAE2f8/d2ZOjrgD7dev4oLmjh3FWOWbEEJIoVSrVg179uzBL7/8gvXr18PZ2RmdO3fmOhYhhBCiME5OTli5ciWuXLkCoVAIdXV1riMRQkipQEXNn8hdwNNU10ILDw+0+SpZndtXduNq1WS/79ULyM6GqHo1HI73xVOVDxBVq4qPemr4qCduqCTFv4ELG+LSkEuFm1vT1hYAwIRCpCYkiBe8UWLDJ48iYmEKoxI/KpDK6zgAYGUFODu/xc6dgJaWKRISxAVNVVXxHJpDhoh7aFJBkxBCFKt3794YNWoU9u3bh5EjRyIkJISGoRNCCCmz2rRpg2rVqiExMRF37txB165duY5ECCGlAhU1f+L7Al5869Z4mfYMcbpAtI4Q9lbDYdGiB1CjBmBkJLvziRMAAM+wC5h/6YJ0qPb3ftYTkU/kVUS8H30fbz69QQ7LwbuUd4U69+uk17gffR/WJtY/PY6WihZQHYj+Eo0MUcZPjyORmio+xpQpJujQAUhLE0812qpVEebQJIQQUmIbN27EtWvXEBkZCRcXF+woysgDolSMMTx//hw+Pj7w8fHBo0ePUL9+fZiYmKBly5ZcxyOEEN5TVVWFo6MjDh48iIsXL1JRkxBCComKmj+QXwEvaMYMrElYgyyWhZgvMbhaIxyXnDYX2MNSXkO1+UJeRcQWhi2woccGCHOEhT63uqo6Whi2kLmtwOPkAHgDbLDbAKjK3pXfcSTe/v+iSo0amcLOrtDRCCGEyJmenh4OHjyIbt26Ye/evejVqxdUaG5i3vjw4QOuXr0qLWRGR0fL3B8fH49WrVrh119/haurK61kTwghP+Hk5ISDBw/C09MT69ev5zoOIYSUCvytnvHAz4ZZF6aHpbzmjeQLeRURddR15PI4CzqOUCiE1xsv9G7Uu0hz0rx7Jy7UmpiYlDgbIYSQkunSpQumT5+O9evXY8KECbRoEIeysrIQEBAAb29v+Pj4ICgoSLqAIgBoaWmhc+fO6NGjBxo3boyVK1fi7t27OHv2LM6ePQsnJye4urqibdu2HD4KQgjhL3t7e6ipqeHly5d4+fIlGjZsyHUkQgjhPSpqFkAePSzlOd8jX8i7iMgnIpEI79+/BwCYmuZd/ZwQQojyrVixApcvX8bz58+xY8cODB48mOtI5QJjDOHh4fDx8YG3tzdu3LiB1P9f/FCiWbNm6NGjB+zt7dGxY0doa2sDEL8myMrKQp06dbB27VocP34cnp6e8PT0RI8ePbBo0SJYW+edAoYQQsozPT09dOnSBdeuXcOlS5eoqEkIIYVA47gKUJwelt/7fqj2z75yWI50qDZRvvj4eAiFQqioqKBmzZpcxyGEEAJxD8AjR45ATU0NAQEB2LlzJ9eRyqzk5GScOXMGEyZMQN26ddGwYUNMmjQJFy9eRGpqKqpVq4YhQ4bg4MGDiI6ORkhICNatWwc7OztpQTO3xo0b48iRI3jx4gV+//13qKqqwtvbGx06dICNjQ1u3rzJwaMkhBD+cnZ2BgB4enpynIQQQkoHfnYH5Ji8eljKa95IohyS+TRr1aoFNTX61SCEEL6wtLTEypUrMWfOHMyYMQOtWrVChw4duI5Vpnz8+BENGzZEUlKS9DZ1dXV07NgR9vb26NGjBywsLIo1r2mDBg2wf/9+uLq6YvXq1Thw4ACuX7+O69evo3PnznB1dYWNjQ0EAoE8HxIhhJQ6Tk5OmDZtGvz8/JCcnIxKlSpxHYkQQniNKjf5kNdiOPKaN5IoB82nSQgh/DVt2jRcuHABd+7cwYABA/Dw4UMYGhpyHavMCAwMRFJSEvT09PD777/D3t4eXbt2RYUKFeR2jrp162L37t1YuHAh1qxZg7///ht+fn6ws7ODlZUVXF1d0bNnTypuEkLKrXr16qFRo0Z48eIFfHx8MGDAAK4jEUIIr1FRMx/yXlGblA6Snpo0nyYhhPCPQCDApEmTkJSUhNDQUAwcOBDXrl0rtfM4883Lly8BADY2Nti8ebNCz2VqagoPDw/Mnz8fa9euxe7du+Hv7w9HR0e0bt0arq6ucHZ2puImIaRccnJywosXL+Dp6UlFTUII+QkqauajLC+GQwpGPTUJIYTftLW1cerUKVhbW+PWrVuYNWsWNm3axHWsMkFS1FTmwhS1atXC5s2bMW/ePLi7u2PHjh0IDAzEL7/8ghYtWmDBggXo06cPTQlDCClXnJyc4O7uDi8vL+Tk5EBVVfXnOxFCSDlV5ImR/Pz84OzsDCMjIwgEApw7d67AbSdMmACBQCDzhiMyMhKjR49GnTp1oK2tjXr16mHx4sXIysr64Xm7du0KgUAg8zVhwoSixiekQNRTkxBC+M/c3ByHDh0CAGzevBnHjh3jOFHZwEVRU8LQ0BDu7u6IjIzE3Llzoauri+DgYAwYMAC1a9fG/PnzER4ervRchBDCBWtra1SuXBkfPnzA/fu0gCwhhPxIkYuaaWlpsLCwgIeHxw+3O3v2LAICAmBkZCRz+4sXLyASibBr1y48e/YMGzduxM6dOzF//vyfnnvs2LGIjY2Vfq1du7ao8QkpEPXUJISQ0qFPnz7S1w1jxoxBSEgIx4lKPy6LmhLVqlWDm5sbIiMj4erqiqpVqyImJgZubm5o0KABunbtikOHDiE9PZ2zjIQQomjq6uro2bMnAODixYscpyGEEH4r8ngeBwcHODg4/HCb6OhoTJ48Gd7e3ujVq5fMfT179pT+kQbEk8aHhYVhx44dcHd3/+FxdXR0Cr0oQGZmJjIzM6Xfp6SkABAPIRcKC78aeW6S/Yq7v7zxKQ+fsgDFyyPpqVmzZk25Po6ycG0UhU9ZAH7l4VMWgD95uD5/Yfj5+WHdunUICgpCbGwszp49iz59+uS77YQJE7Br1y5s3LgR06ZNk7nv0qVLWLZsGUJCQqClpYUuXbr8cHREebNs2TIEBgbCx8cHffv2RWBgICpXrsx1rFIpIyMDUVFRALgtakoYGBhg2bJlWLhwIS5cuIB9+/bB29sbN2/exM2bNzF58mT89ttvGD16NFq3bk1zbxJCyhwnJyecOHECnp6eWLVqFddxCCGEt+Q+SZFIJMLw4cMxa9YsNGnSpFD7JCcnQ19f/6fbHT16FEeOHIGhoSGcnZ3h6uoKHR2dfLd1c3PD0qVL89zu4+NT4D6F5evrW6L95Y1PefiUBSh8HqFQiPj4eABAWFgYYmNjOcuiLHzKw6csAL/y8CkLwH2e0tBDSzKiYdSoUejbt2+B2xU0ogEA/v33X4wdOxarVq1C9+7dkZ2djadPnyoydqmjqqqKY8eOoVWrVnj9+jWGDx+O8+fPQ0WlyINQyr3Xr1+DMYZKlSqhWrVqXMeR0tDQQP/+/dG/f3+8f/8eBw4cwL59+xAREYFdu3Zh165daNasGUaNGoVhw4ahatWqXEcmhBC56NmzJ1RUVPDkyRNERUWhdu3aXEcihBBekntRc82aNVBTU8OUKVMKtX14eDi2bt36016aQ4YMQe3atWFkZISQkBDMmTMHYWFhOHPmTL7bz5s3D9OnT5d+n5KSAhMTE9jb20NPT6/wDygXoVAIX19f2NnZ8WKhID7l4VOW4uR5/fo1APEiFIMGDZJrr4/Sfm3KSxa+5eFTFj7lkfS657OSjmjIzs7G1KlTsW7dOowePVp6+//+9z+F5C3NDAwMcObMGXTo0AGenp5YsWIFFi1axHWsUif30HO+9no0NjbGwoULMX/+fPz333/Yt28f/v33Xzx58gQuLi6YM2cOfvnlF4wePRq2tra0sAYhpFQzMDCAtbU1bt++jUuXLuGvv/7iOhIhhPCSXIuaQUFB2Lx5Mx4+fFioF8XR0dHo2bMnBgwYgLFjx/5w23Hjxkn/36xZM9SsWRM2NjZ4/fo16tWrl2d7TU1NaGpq5rldXV29xG/I5XEMeeJTHj5lAQqfJy4uDoB4Pk0NDQ1OsygLn/LwKQvArzx8ygJwn4dP16K4fjai4eHDh4iOjoaKigosLS0RFxeHFi1aYN26dWjatGmBxy3r064UlKVZs2bYtm0bxowZgyVLlqBFixY/LSorMg8XSpolNDQUAFC/fn25PB5FX5tOnTqhU6dO2LBhA06ePIn9+/fj0aNHOH36NE6fPg0TExMMHz4cI0eOhLGxsUKzFFVZ+rmRNz7l4WMWUv44OTnh9u3b8PT0pKImIYQUQK5FzVu3biEhIUFm9eicnBzMmDEDmzZtQmRkpPT2mJgYdOvWDdbW1ti9e3eRz9WuXTsA4p6e+RU1CSkKWvmcEKIsPxvR8ObNGwDAkiVLsGHDBpiZmWH9+vXo2rUrXr58WeB0LeVl2pX8slStWhU9e/bElStXMGTIELi7u6NmzZqc5eFKcbNcv35d+n8vLy95xVHKtTE1NcXixYvx5s0bXLt2DTdv3sS7d++watUqrFq1Cs2bN4etrS2ysrIU9qFlcZSFnxtF4VMePmQpDdOuEMVwdnbG3Llzcf36daSlpfHqbxghhPCFXIuaw4cPh62trcxtPXr0wPDhw/HHH39Ib4uOjka3bt3QqlUr7N+/v1jzXwUHBwOA0t60kLKNVj4nhChDYUY0iEQiAMCCBQvQr18/AMD+/fthbGyM06dPY/z48fnuV9anXflZFhsbG9jY2OD+/fvYsWMH/Pz8SlzMLUkeZSpplnXr1gEAHB0d4ejoyHme4po0aRIyMjJw/vx5HDhwANeuXUNISAhCQkJQuXJl/Pbbb/j9999haWmptEzfK0s/N2U5D5+ylIZpV4hiNG7cGHXq1EFERASuXbumlFEIhBBS2hS5qJmamorw8HDp9xEREQgODoa+vj5MTU1hYGAgs726ujoMDQ1hbm4OQFzQ7Nq1K2rXrg13d3ckJiZKt5WsbB4dHQ0bGxscOnQIbdu2xevXr3Hs2DE4OjrCwMAAISEhcHFxQefOndG8efNiPXBCcqOemoQQZSjMiAbJh3W559DU1NRE3bp1pX+r8lNepl0pKIu6ujr+/fdftGrVCiEhIZg4cSIOHz6s8DkiS8O1+ZlXr14BEP/MyfOxcHFt1NXVMWzYMAwbNgyRkZH4+++/sWvXLnz48AE7duzAjh07YGlpidGjR2PIkCGoUqWKUvPlzlnaf24UhU95+JCF6/MT7ggEAjg5OWHr1q3w9PSkoiYhhOSjyF0kAwMDYWlpKf2Ue/r06bC0tCz0xPy+vr4IDw/HtWvXYGxsjJo1a0q/JIRCIcLCwqTDLTQ0NHD16lXY29ujUaNGmDFjBvr164eLFy8WNT4h+aKemoQQZRg+fDhCQkIQHBws/TIyMsKsWbPg7e0NAGjVqhU0NTURFhYm3U8oFCIyMpJWP/0JY2NjnDp1Cqqqqjh69Ci2bdvGdSTe+/z5MxISEgAADRo04DiNfJmZmWHx4sXYtWsXLl26hIEDB0JDQwOPHj3CpEmTULNmTQwdOhTXrl2T9pAmhBA+cXJyAgB4enqCMcZxGkII4Z8i99Ts2rVrkf6g5p5HEwB+//13/P777z/cx8zMTOYcJiYmuHnzZlFiElIk1FOTECIvJR3RoKenhwkTJmDx4sUwMTFB7dq1pcODBwwYoLwHUkp16dIFa9euxYwZM6QfvHbs2JHrWLwl6aVZs2ZNVKxYkeM0iqGqqgo7Ozs4Ojri48ePOHr0KPbu3YuQkBAcO3YMx44dQ506dfDHH3/g999/pw84CSG80aVLF1SoUAGxsbHS6dcIIYR8U/TJLAkpg6inJiFEXko6ogEQz3E4ePBgDB8+HG3atEFUVBSuX7/O2VDZ0sbFxQWDBg1CdnY2BgwYgNjYWK4j8dbLly8BAA0bNuQ4iXIYGBhgypQpCA4OxoMHDzBhwgTo6ekhIiICixYtQu3atdGzZ0+cPn0amZmZXMclhJRzmpqasLe3BwBcunSJ4zSEEMI/VNQk5V5ycrJ0EnYqahJCSkoyouH7rwMHDuS7fWRkJKZNmyZzm7q6Otzd3REfH4+UlBT4+vqiSZMmig9fRggEAvz9999o0qQJ4uLiMHDgQAiFQq5j8VJ5K2pKCAQCtG7dGjt27EBsbCwOHTok/d319vbGwIEDUatWLbi4uODp06dcxyWElGOSIehU1CSEkLyoqEnKPUkvTX19fVSoUIHjNIQQQuRBV1cXZ86cgZ6eHm7fvo2ZM2dyHYmXymtRMzcdHR0MHz4cN27cwKtXrzB//nwYGRnh48eP2LRpE5o1a4a2bdti165dSE5O5jouIaSccXR0BAAEBQUhKSmJ4zSEEMIvVNQk5R7Np0kIIWVTw4YNcfjwYQDAli1bcOTIEY4T8Q8VNWXVr18fK1euRFRUFC5duoS+fftCTU1NOlS9Zs2aGDlyJPz8/GjRDkL+n5+fH5ydnWFkZASBQIBz587J3L9kyRI0atQIFSpUQJUqVWBra4t79+7JbGNmZgaBQCDztXr1aiU+Cv4yNDREmzZtAIgLm4QQQr6hoiYp92g+TUIIKbt69+6NBQsWAADGjRuHx48fc5yIPxhjVNQsgJqaGhwdHfHvv/8iOjoa7u7uaNy4Mb5+/YpDhw6hS5cuaNiwIdzc3BATE8N1XEI4lZaWBgsLC3h4eOR7f8OGDbFt2zY8efIEt2/fhpmZGezt7ZGYmCiz3bJlyxAbGyv9mjx5sjLilwqSIej379/nOAkhhPBLkVc/J6SsoZ6ahBBSti1duhSBgYHw9vZG3759ERgYSIsuAYiLi0NqaipUVFRQt25druPwVvXq1TFjxgxMnz4dAQEB2Lt3L06ePInw8HDMnz8frq6ucHBwwOjRo9GrVy+oq6tzHZkQpXJwcICDg0OB9w8ZMkTm+w0bNmDv3r0ICQmBjY2N9PaKFSvC0NCwUOfMzMyUWcxLMj++UCgs9hzKkv34OAdzr169sHjxYjx48ABr1qzBnDlzuI6UB5+vH5+zAZSvJPicDaB8RVWcHFTUJOUe9dQkhJCyTVVVFUePHkXr1q3x5s0bDBs2DBcvXoSKSvkesBIWFgYAqFOnDjQ0NDhOw38CgQBWVlawsrLCpk2bcPr0aezduxd37tyBp6cnPD09Ub16dYwYMQKjR49Go0aNuI5MCO9kZWVh9+7dqFSpEiwsLGTuW716NZYvXw5TU1MMGTIELi4uUFPL/+2qm5sbli5dmud2Hx8f6OjolCijr69vifZXlN9++w3Hjx+Hq6srXr16hb59+3IdKV98vX4Av7MBlK8k+JwNoHyFlZ6eXuR9qKhJyj3qqUkIIWWfgYEBzpw5A2tra3h5eWH58uVYvHgx17E4RUPPi09XVxd//PEH/vjjD7x48QL79+/HwYMHER8fD3d3d7i7u8Pa2hqjR4/GwIEDoaury3VkQjjl6emJwYMHIz09HTVr1oSvry+qVq0qvX/KlClo2bIl9PX1cffuXcybNw+xsbHYsGFDvsebN28epk+fLv0+JSUFJiYmsLe3h56eXrEyCoVC+Pr6ws7Ojpc9ru3s7AAAx48fx6FDh2Bubo5Zs2ZxnOobPl8/PmcDKF9J8DkbQPmKStLrviioqEnKPeqpSQgh5YOlpSV27tyJ33//HUuWLEHr1q3Rq1cvrmNxhoqa8tGoUSOsWbMGK1asgJeXF/bu3QsvLy/cvXsXd+/exZQpUzBo0CCMHj0arVu35jouIZzo1q0bgoOD8eHDB+zZswcDBw7EvXv3UL16dQCQKVA2b94cGhoaGD9+PNzc3KCpqZnneJqamvnerq6uXuI35vI4hqIMGjQIDRs2xNKlS7FgwQKoqKhg7ty5XMeSwefrx+dsAOUrCT5nAyhfUXIUVfked0XKPZFIJC1qUk9NQggp+0aOHIk///wTADBs2DC8fv2a40TcoaKmfKmrq+OXX37BhQsX8O7dO7i5uaFBgwZIS0vDvn370KFDB1hYWCA0NJTrqIQoXYUKFVC/fn20b98ee/fuhZqaGvbu3Vvg9u3atUN2djYiIyOVF7KUWLBgAZYvXw5A3GPVzc2N40SEEMIdKmqSci0hIQFCoRAqKiowMjLiOg4hhBAl2LRpE9q3b4/Pnz+jb9++xZq/pyygoqbi1KxZE3PnzkVYWBj8/PwwcuRI6Ojo4MWLFzhx4gTX8QjhnEgkklno53vBwcFQUVGR9uQkshYuXCgtbM6fP58Km4SQcouKmqRck8ynaWRkVOBE5IQQQsoWDQ0N/PPPP6hevTpCQkIwduxYMMa4jqVU2dnZ0l6qVNRUHIFAgE6dOuHAgQMICAgAAISGhuLr168cJyNEflJTUxEcHIzg4GAAQEREBIKDg/H27VukpaVh/vz5CAgIQFRUFIKCgjBq1ChER0djwIABAAB/f39s2rQJjx8/xps3b3D06FG4uLhg2LBhqFKlCoePjN8WLlyIFStWABAXNletWsVxIkIIUT4qapJyjebTJISQ8qlWrVo4deoUVFVVcezYMWzdupXrSEoVGRmJ7OxsaGtrw9jYmOs45ULTpk1Rq1YtZGVl4c6dO1zHIURuAgMDYWlpCUtLSwDi+TEtLS2xaNEiqKqq4sWLF+jXrx8aNmwIZ2dnfPz4Ebdu3UKTJk0AiOfHPHHiBLp06YImTZpg5cqVcHFxwe7du7l8WKXCggULpIXNBQsWYOXKlRwnIoQQ5aKuaaRco5XPCSGk/OrSpQvWrVuH6dOnY8aMGWjZsiU6duzIdSylkAw9b9CgAVRU6DNuZRAIBLC1tcXBgwdx9epVODg4cB2JELno2rXrD3u7nzlz5of7t2zZUtqTmRTdggULIBAIsGDBAixcuFB6GyGElAf0KpaUa9RTkxBCyrdp06Zh0KBByM7OxoABAxAbG8t1JKWg+TS5YWtrCwDw9fXlOAkhpCyZP3++tJdm7mHppHSIiYkpt/N7E1JSVNQk5Rr11CSEkPJNIBBg7969aNq0KeLi4jBgwABkZWVxHUvhqKjJDRsbGwgEAjx58qTcFNAJIcqRe15NV1dXKmyWEsHBwWjUqBFmz55N8y0TUgxU1CTlGvXUJIQQUqFCBZw5cwZ6enq4c+cOZs6cyXUkhaOiJjeqVq2KunXrAqDemoQQ+Zs3b550JXRXV1fpCumEn3JycjBmzBhkZGTg/fv3WL16NdeRCCl1qKhJyjXqqUkIIQQQzy155MgRAMDWrVul/y+rqKjJHcliKj4+PhwnIYSURXPnzpUWNhctWoRly5ZxnIgUZOvWrQgKCoKmpiYAwN3dHaGhoRynIqR0oaImKbcyMzMRFxcHgHpqEkIIAZydnaWLLIwbNw6PHz/mOJFipKenS0cqUFFT+Vq0aAFA3FNTJBJxG4YQUibNnTtX2utv8eLFVNjkoaioKOlrjo0bN6J169YQCoX4888/f7jwFiFEFhU1SbkVHR0NANDS0kLVqlU5TkMIIYQPlixZgp49e+Lr16/o27cvPn36xHUkuQsPDwcA6Ovrw8DAgOM05Y+5uTkqVKiAhIQEhISEcB2HEFJGzZkzR6awuXTpUo4TEQnGGCZOnIi0tDR06tQJo0aNwtixY6GtrY2bN2/i0KFDXEckpNSgoiYpt3LPpykQCDhOQwghhA9UVVVx9OhR1KlTB2/evMHQoUPLXG86GnrOLXV1dXTp0gUADUEnhCjWnDlzsGbNGgDiD+2osMkPp0+fxqVLl6ChoYFdu3ZBRUUFNWrUgKurKwBg5syZ+PjxI8cpCSkdilzU9PPzg7OzM4yMjCAQCHDu3LkCt50wYQIEAgE2bdokc3tSUhKGDh0KPT09VK5cGaNHj0ZqauoPz5uRkYGJEyfCwMAAurq66NevH+Lj44sanxApmk+TEEJIfvT19fHvv/9CS0sLly9fLnNvAqmoyT07OzsAVNQkhCje7NmzZQqbS5Ys4TZQOffp0ydMmTIFgHjF+saNG0vvmzp1Kpo2bYoPHz5gzpw5XEUkpFQpclEzLS0NFhYW8PDw+OF2Z8+eRUBAAIyMjPLcN3ToUDx79gy+vr7w9PSEn58fxo0b98Pjubi44OLFizh9+jRu3ryJmJgY9O3bt6jxCZGilc8JIYQUxNLSErt27QIALFu2DJ6enhwnkh8qanLP1tYWAHDr1i2kpaVxnIYQUtbNnj0ba9euBQAsXbqUCpscmj17NuLj49GoUSPMnTtX5j51dXXpa4+9e/fi1q1bXEQkpFQpclHTwcEBK1aswK+//lrgNtHR0Zg8eTKOHj0KdXV1mftCQ0Nx5coV/P3332jXrh06duyIrVu34sSJE4iJicn3eMnJydi7dy82bNiA7t27o1WrVti/fz/u3r2LgICAoj4EQgBQT01CCCE/NmLECEycOBEAMGzYMOlclKUdFTW517BhQ5iamiIrKwt+fn5cxyGElAOzZs2iwibHbt68ib///hsAsHv3bumq57lZW1tj7NixAIA///wTWVlZSs1ISGmjJu8DikQiDB8+HLNmzUKTJk3y3O/v74/KlSujdevW0ttsbW2hoqKCe/fu5VssDQoKglAolH6qDQCNGjWCqakp/P390b59+zz7ZGZmIjMzU/p9SkoKAEAoFEIoFBbrsUn2K+7+8sanPHzKAhQuj6SoaWRkpNDcpfHaKAufsgD8ysOnLAB/8nB9flL+bNiwAY8ePcLdu3fRt29f+Pv7o0KFClzHKhEqanJPIBCgR48e2LNnD3x8fODg4MB1JEJIOTBr1iwIBALMmjULS5cuRUhICP744w/06NEDGhoaXMcr0zIyMjB+/HgAwLhx49CpU6cCt129ejXOnTuHZ8+eYcOGDXl6dBJCvpF7UXPNmjVQU1OTzhPxvbi4OFSvXl02hJoa9PX1ERcXV+A+GhoaqFy5ssztNWrUKHAfNze3fOfA8vHxgY6OTiEeScF8fX1LtL+88SkPn7IAP87z7NkzAEBsbCy8vLw4zcIFPuXhUxaAX3n4lAXgPk96ejqn5yflj4aGBk6fPo2WLVviyZMnGDduHI4cOcJ1rGL7+PGjdPGB+vXrc5ymfLO3t5cWNQkhRFlmzpwJgUCAmTNn4uzZszh79iwMDAwwaNAgDB06FFZWVrSIqgK4ubkhLCwMhoaG0jlOC6Kvr4/169djxIgRWLZsGQYNGoQ6deooKSkhpYtci5pBQUHYvHkzHj58yPkfwnnz5mH69OnS71NSUmBiYgJ7e3vo6ekV65hCoRC+vr6ws7PLM6yeC3zKw6cshc0zcuRIAEDfvn1lJmjmIosy8SkPn7LwLQ+fsvApj6TXPZ/5+flh3bp1CAoKQmxsLM6ePYs+ffrku+2ECROwa9cubNy4EdOmTctzf2ZmJtq1a4fHjx/j0aNHaNGihUKzk/wZGRnh1KlT6N69O44dO4a2bdvir7/+4jpWsbx69QoAYGxsXOp7nJZ23bt3h4qKCp4/f47379/D2NiY60iEkHJixowZ6N69Ow4dOoTjx48jPj4e27dvx/bt21G3bl0MGTIEQ4cORaNGjbiOWiY8f/4cbm5uAIAtW7bk6ayVn2HDhmH//v24ceMGJk2aBE9PT85rLITwkVyLmrdu3UJCQoLMHIU5OTmYMWMGNm3ahMjISBgaGiIhIUFmv+zsbCQlJcHQ0DDf4xoaGiIrKwufP3+W+QMQHx9f4D6ampr5zlGhrq5e4jfk8jiGPPEpD5+yAAXnSUlJQXJyMgCgbt26SslcWq4NF/iUBeBXHj5lAbjPw6drURDJgnqjRo364YJ2P1pQT2L27NkwMjLC48ePFRGVFEHnzp3h7u4OFxcXzJw5E82bN+c6UrHQ0HP+0NfXR5s2bXDv3j34+vrijz/+4DoSIaQcsbS0hKWlJdatW4fr16/j6NGjOHPmDN68eYMVK1ZgxYoVaN26NYYOHYrBgwcX+L6b/JhIJMK4ceMgFArh7OyM/v37F2o/gUCAHTt2oHnz5vDy8sK///5b6H0JKU+KvFDQjwwfPhwhISEIDg6WfhkZGWHWrFnw9vYGAFhZWeHz588ICgqS7nf9+nWIRCK0a9cu3+O2atUK6urquHbtmvS2sLAwvH37FlZWVvJ8CKSckKx8XqVKFejq6nKchhBSlpR0QT2Jy5cvw8fHB+7u7oqKSopo6tSp+O2335CdnY3ffvsNSUlJXEcqMipq8ou9vT0A0BB0Qghn1NTUYG9vj4MHDyI+Ph7Hjx9Hr169oKqqisDAQLi4uKBWrVro0aMHDh8+jC9fvnAduVTZs2cP7ty5A11dXXh4eBSpt6W5uTnmzJkDQPwapDSMWCJE2YrcUzM1NVVm9c+IiAgEBwdDX18fpqamMDAwkNleXV0dhoaGMDc3BwA0btwYPXv2xNixY7Fz504IhUJMmjQJgwcPlvZWiY6Oho2NDQ4dOoS2bduiUqVKGD16NKZPnw59fX3o6elh8uTJsLKyyneRIEJ+hlY+J4Rw5WcL6gHikQhjx47FuXPnCj0PdFlfII8vWbZv344nT57g6dOnWLt2LX799VfOh3EX5dq8ePECAFCvXj2FXUu+PFe5M/AhC5A3T/fu3bF8+XL4+voiIyMDqqqqnGXhGp/y8DELIcqgo6ODwYMHY/DgwUhMTMSpU6dw5MgRBAQEwMfHBz4+PtDW1kafPn0wdOhQ2Nvbl4pRNFyJiYnB7NmzAQArV66EiYlJkY8xf/58HD9+HOHh4XB1dcXmzZvlHZOQUq3IRc3AwEB069ZN+r1k3sqRI0fiwIEDhTrG0aNHMWnSJNjY2EBFRQX9+vXDli1bpPcLhUKEhYXJLAixceNG6baZmZno0aMHtm/fXtT4hAD41lOzOA0LIYSUxM8W1GOM4ffff8eECRPQunVrREZGFuq45WWBPD5kmThxImbMmIEXL15g6NChGDduHNeRABTu2khGyiQnJyt8kTw+PFcSfMoCfMuTnZ0NbW1tfPz4ER4eHpws3sTXa8MHfMhCC+QRrlSrVg0TJ07ExIkTER4ejmPHjuHo0aN4+fIljh8/juPHj6Nq1aoYPHgwhg4dipYtW3IdmXckvSvbtGmDiRMnFusYWlpa2L59O+zt7bFt2zaMGDECrVq1knNSQkqvIhc1u3btCsZYobfP782Yvr4+jh07VuA+ZmZmec6hpaUFDw8PeHh4FPrchBSEemoSQrhQmAX1tm7dii9fvmDevHlFOnZZXyCPT1kA8Zu9/v37w8vLC/3798ewYcM4y1LYayMSiRAfHw8A+O2339CgQQNO8ygDn7IUlMfOzg4XLlxAeno6HB0dOc3CJT7l4VMWGm5K+KB+/fpYtGgRXF1dERgYiCNHjuDEiRNISEjAtm3bsG3bNtSrVw+tW7dG/fr1CxyJUp5cuHAB//zzD1RVVbFnz54S9cS3s7PDb7/9huPHj2PChAkICAhQas9+QvhMrgsFEVJaUE9NQggXCrOg3vXr1+Hv759nsTvJZP0HDx7M99jlZYE8vmTp3bs3Bg0ahJMnT+Kvv/6CpaUl56vT/+zavHv3Dl+/foWamhoaNGig8OvIl+cK4FcWQDZPz549ceHCBVy7dg2urq6cZuEDPuXhQxauz09IbgKBAG3atEGbNm2wfv16XL16VbrA0OvXr/H69WucPHkSbdq0wbBhwzBo0CDUqFGD69hKl5KSIu2ZOXPmTFhYWJT4mBs2bICXlxcCAwOxfft2TJ48ucTHJKQskOtCQYSUFtRTkxDChcIsqLdlyxY8fvxYer9kiPDJkyexcuVKLuOT7wwaNAg9e/ZERkYG+vbty/uFgySLBNWtW5cKJTwiWSzo7t27tAAHIaTUUFNTQ8+ePXH48GHEx8fjwIEDaNmyJVRVVfHgwQNMnToVtWrVgoODA44cOYLU1FSuIyvNwoUL8f79e9StWxeLFi2SyzENDQ3h5uYGAFiwYAFiYmLkclxCSjsqapJyiXpqEkIUJTU1VVqQBL4tqPf27VsYGBigadOmMl/fL6hnamoqc79klep69erB2NiYq4dF8qGiooIDBw6gTp06iIiIwNChQ5GTk8N1rALRyuf8VK9ePdStWxdCoRA3b97kOg4hhBSZrq4uhgwZgkWLFiEqKgpbtmxB27ZtkZOTgytXrmD48OGoUaMGhg0bhsuXLyM7O5vryApz7949bNu2DQCwc+fOEs9rntv48ePRrl07fPnyBdOmTZPbcQkpzaioScodkUgkLWpST01CiLwFBgbC0tISlpaWAMQL6llaWsrtk3rCL/r6+jhz5gy0tLRw5cqVfBdr4gsqavKXpLemj48Px0kIIaRkqlevjsmTJ+PevXt4+fIlFi9ejPr16yM9PR1Hjx6Fo6MjatWqhSlTpuD+/ftFWq+D74RCIcaOHQvGGIYPHw47Ozu5Hl9FRQU7d+6EqqoqTp8+jcuXL8v1+ISURlTUJOVOYmIisrKyIBAIYGRkxHUcQkgZI1lQ7/uvAwcO5Lt9ZGTkDz9tlyyex/V8jaRgLVq0wJ49ewAAy5cvx8WLFzlOlD8qavKXpKgpmYaCEELKggYNGmDJkiV4+fIlAgICMHnyZFSrVg0JCQnYunUr2rVrB3NzcyxduhTh4eFcxy2x9evX48mTJzAwMMCGDRsUco4WLVpg6tSpAICJEyciPT1dIechpLSgoiYpdyTzaRoZGdGcYoQQQuRi2LBhmDRpEgDx3Kl8fHMmKWpKpjog/NG9e3eoqqri5cuXiIyM5DoOIYTIlUAgQLt27bBlyxZER0fj0qVLGDJkCLS1tfHq1SssWbIEDRo0QPv27bFt2zYkJiZyHbnIwsPDpaM1Nm7ciKpVqyrsXEuXLoWxsTEiIiKwYsUKhZ2HkNKAipqk3KH5NAkhhCjC+vXrYW1tjeTkZPz6669IS0vjOpJUVlYWIiIiAFBPTT6qVKkS2rdvDwDw9fXlOA0hhCiOuro6HB0dcfToUSQkJODw4cPo0aMHVFRUcO/ePUyePBk1a9ZEr169cPz4cV61pQVhjGHChAnIyMiAra0thg0bptDz6erqYuvWrQCAdevW4dmzZwo9HyF8RkVNUu7QyueEEEIUQUNDA6dPn4ahoSGePn2KMWPG8GausIiICOTk5KBChQqoWbMm13FIPmheTUJIeaOrq4thw4bhypUriI6OxqZNm9CmTRvk5OTAy8sLQ4YMQY0aNTBixAh4e3vzdoGhw4cP49q1a9DS0sLOnTshEAgUfs4+ffqgd+/eyM7Oxp9//gmRSKTwcxLCR1TUJOUO9dQkhBCiKEZGRjh16hTU1NRw4sQJbN68metIAGTn01TGmy1SdJKi5tWrV5GTk8NxGkIIUS5DQ0NMnToV9+/fx4sXL+Dq6oq6desiLS0Nhw8fRs+ePWFsbIxp06YhMDCQNx8aJiYmYvr06QCAJUuWoF69eko795YtW6Cjo4Nbt24VOHc7IWUdFTVJuUM9NQkhhChSp06dsH79egDAzJkz4efnx3EiWiSoNGjdujUqV66Mz58/IzAwkOs4hBDCGXNzcyxbtgzh4eG4e/cuJk6cCAMDA8THx2Pz5s1o06YNGjVqhOXLl+PNmzecZp0xYwY+fvyI5s2bS4ubylK7dm3pPJ6zZs3Chw8flHp+QviAipqk3KGemoQQQhRt8uTJGDJkCHJycjBw4EDExMRwmoeKmvynpqYGGxsbADQEnRBCAPECQ1ZWVti2bRtiY2Nx8eJFDB48GNra2nj58iUWLVqEevXqwdraGtu3b1d6Uc/HxweHDx+GQCDAnj17OFmEdurUqWjWrBmSkpIwa9YspZ+fEK5RUZOUO9RTkxBCiKIJBALs3r0bzZo1Q3x8PPr374+srCzO8lBRs3SQDEH39vbmOAkhhPCLuro6nJyccPz4ccTHx+PgwYOws7ODiooK/P39MXHiRNSsWRPOzs44ceIE0tPTFZonPT0dEyZMACD+ILNt27YKPV9B1NXVsWvXLggEAhw4cAA3b97kJAchXKGiJilXsrKyEBcXB4B6ahJCCFGsChUq4MyZM6hUqRL8/f3h4uLCWRYqapYOkqJmQEAAkpOTOU5DCCH8VLFiRYwYMQI+Pj54//49NmzYgFatWiE7Oxuenp747bffUKNGDYwcORK+vr4Kmad46dKliIiIgImJCVasWCH34xeFlZUVxo0bBwD4888/Of0QlRBlU+M6ACHKFB0dDcYYNDU1Ua1aNa7jEEIIKePq16+Po0ePwsnJCdu3b0e7du0wYsQIpWZITU2VDn9v0KCBUs9NisbMzAwNGzbEy5cvcePGDfTp04frSIQQwms1a9aEi4sLXFxcEBoaiqNHj+Lo0aOIjIzEoUOHcOjQIRgaGqJJkya4ceMGKlSoAG1t7UJ/aWlpSf+vqakJgUCA4OBg6dzZHh4eqFixIsdXAXBzc8PZs2cRGhqKdevWYcGCBVxHIkQpqKhJypXc82nS6q+EEEKUoVevXli8eDGWLl2K8ePHo1mzZrC0tFTa+V+9egUAqFatGqpUqaK085Lisbe3x8uXL+Hj40NFzVIsJycHK1euRPPmzel5JERJGjdujBUrVmD58uW4e/cujh49ipMnTyIuLg5xcXG4du1aiY4vEAigpaUFkUiEnJwcDBgwAM7OznJKXzJVqlTBhg0bMGzYMKxYsQK//vor/ve//3EdixCFo6ImKVdoPk1CCCFcWLRoER48eAAvLy/07dsXQUFB0NfXV8q5aeh56WJvb49t27bRYkGlWGJiIoYNGwYfHx9UqlQJr169ohFChCiRQCBAhw4d0KFDB2zatAmXLl3CqVOnYGxsjKysLHz9+rVIXyKRCADAGMPXr18BAFWrVsXmzZu5fJh5DBkyBPv378e1a9fQpEkTGBkZoUWLFrCwsJD+W79+faiqqnIdlRC5oaImKVdo5XNCCCFcUFFRwZEjR9C6dWu8efMGQ4YMwaVLl5TyxoKKmqVL165doaamhtevX+P169eoV68e15FIEdy5cweDBg1CdHQ0dHR0sHXrVipoEsIhDQ0NODk5QUVFBY6OjkVeoZwxBqFQmKfQWbNmTd6NfpAsUjho0CAEBgYiJiYGMTEx8PLykm6jo6ODZs2ayRQ7mzVrBl1dXQ6TE1J8VNQkvPDo0SN4eHjgxIkT6NevHw4ePKiQ81BPTUIIIVypUqUKzpw5AysrK3h7e2PJkiVYvny5ws9LRc3SpWLFirC2toafnx98fX2pqFlKMMawceNGzJkzB9nZ2WjUqBH++ecfNGnShOtohJASEAgE0NDQgIaGBipVqsR1nJ+qW7cuHjx4gC9fvuDJkycIDg7G48ePERwcjCdPniA9PR337t3DvXv3pPsIBALUr18/T6/OWrVq0ZRthPeoqEk4k5WVhX/++Qfbtm2Dv7+/9PYjR45gw4YNMDAwkPs5qacmIYQQLllYWGDPnj3SOa/atGmD3r17K/ScVNQsfezt7eHn5wdvb29MmDCB6zjkJz5//oxRo0bh7NmzAIDBgwdjz5491POJEMIZyQdk1tbW0ttycnLw6tUraaFTUuyMjY3Fq1ev8OrVK5w+fVq6vYGBASwsLNC8eXOoqanBwsICZmZmHDwaQgpGRU2idO/evcOuXbuwZ88eJCQkAADU1dXRv39/PHjwAOHh4bhy5QqGDh0q93NTT01CCCFcGzp0KO7du4etW7di+PDhCA4ORp06dRRyLsYYFTVLoR49emDhwoW4fv06hEJhkYdLEuV59OgR+vfvjzdv3kBDQwMbN27En3/+Sb2bCCG8o6qqikaNGqFRo0YYPHiw9PaEhASZIufjx48RGhqKjx8/4vr167h+/ToAwN3dHbVr10aHDh1gbW2NDh06oFmzZjRHJ+EUFTWJUjDGcOPGDXh4eOD8+fPIyckBANSqVQvjx4/H2LFjYWhoiAULFmDVqlW4ePGiQoqa1FOTEEIIH7i7uyMwMBD+/v7YsWMH1q5dq5DzfPjwAZ8/f4ZAIKBhzKWIpaUlDAwM8PHjR9y/fx8dOnTgOhL5DmMMe/bswZQpU5CZmQkzMzOcPn0arVu35joaIYQUSfXq1WFnZwc7OzvpbRkZGXj+/DmCg4MRGBgIb29vREZGIioqClFRUTh27BgAcY/Q9u3bS4uc7du3R8WKFbl6KKQcUuE6ACnbvnz5Ag8PDzRp0gQ2NjY4c+YMcnJy0LVrV5w+fRoRERFwdXWFoaEhAMDJyQkAcOXKFQiFQrln+fz5MwAqahJCCOGWhoYGZsyYAQA4deoUGGMKOY+kl6apqSm0tbUVcg4if6qqqrC1tQUAWgWdh9LS0jBixAiMHz8emZmZcHZ2xsOHD8ttQdPPzw/Ozs4wMjKCQCDAuXPnZO5fsmQJGjVqhAoVKqBKlSqwtbWVmc8PAJKSkjB06FDo6emhcuXKGD16NFJTU5X4KAghuWlpaaFly5YYNWoUNm/ejA0bNiAxMRG+vr5YunQp7O3tUbFiRXz58kXmtsqVK6NFixaYOHEijh07hsjISIW9xiEEKEZRs6SN1n///QeBQJDv14MHDwo8b9euXfNsT3MM8dfz588xadIkGBkZYdKkSQgNDUWFChXw559/4smTJ7hx4wb69++fZzhV27ZtUa1aNSQnJ+P27dtyzSTppVm5cmX69IgQQgjnHBwcUKFCBURFRSEwMFAh56Ch56WXvb09ACpq8k1oaCjatm2LI0eOQFVVFWvWrMG5c+d4twqyMqWlpcHCwgIeHh753t+wYUNs27YNT548we3bt2FmZgZ7e3skJiZKtxk6dCiePXsGX19feHp6ws/PD+PGjVPWQyCEFELFihVha2uLRYsWwdvbG58+fcLjx4+xfft2DB06FGZmZhCJRDK31alTB8bGxhg4cCA2b96MBw8eyL3zEinfijz8XNJojRo1Cn379s1zv6TRqlu3Lr5+/YqNGzfC3t4e4eHhqFatGqytrREbGyuzj6urK65du/bTTzfHjh2LZcuWSb/X0dEpanyiQDk5OTh79ix27tyJGzduSG83NzfHpEmTMGLECOjp6f3wGKqqqnB0dMTBgwfh6emJbt26yS0fzadJCCGET3R0dODk5ISTJ0/i1KlTaNOmjdzPERYWBoCKmqWRZBjg/fv38enTp3JdNOOLY8eOYdy4cUhLS0PNmjVx4sQJdO7cmetYnHNwcICDg0OB9w8ZMkTm+w0bNmDv3r0ICQmBjY0NQkNDceXKFTx48ED6fnDr1q1wdHSEu7s7jIyM8hwzMzMTmZmZ0u9TUlIAAEKhsNgFE8l+fC24UL7i43M2oHTna9y4MRo3bowxY8YAAGJiYuDv7y/9evToEWJiYnD69GnpIkQ6Ojpo06aNdNh6+/bti93GleZrxwd8y1ecHEUuapa00dLQ0JAONQbEoc+fP4/Jkyf/dEJtHR0dmX1/pDw0dFzmSU1NRUREBCIiIhAZGYnw8HCcPn0aHz9+BACoqKjAyckJf/31F7p16yZ9bguT1cHBAQcPHsSFCxewevXqYuXL79pERkYCAIyNjZV6zejnpmB8ygLwKw+fsgD8ycP1+QmRt4EDB+LkyZM4ffo01q5dK/fFRainZullYmKCxo0bIzQ0FNevX0e/fv24jlRuZWRkwMXFBTt37gQAdO/eHceOHUONGjU4Tlb6ZGVlYffu3ahUqRIsLCwAAP7+/qhcubJMBxdbW1uoqKjg3r17+PXXX/Mcx83NDUuXLs1zu4+PT4k7vvj6+pZof0WjfMXH52xA2cmnra2N7t27o3v37sjMzMSrV68QGhqKsLAwvHjxAqmpqbh58yZu3rwp3cfU1BTm5ubSIqmhoWGRXhOVlWvHFb7kS09PL/I+Cl0oKL9G63sXLlzAx48f8ccff/z0eEePHsWRI0dgaGgIZ2dnuLq6FtholaeGThF5srOzkZiYiISEBMTHx+f5khSJv1epUiXY2tqiZ8+eqFatGjIyMnD58uUinVskEkFNTQ3h4eHYs2cPatWqVezHkfvaSFZtE4lE8PLyKvYx5ZGFD/iUh09ZAH7l4VMWgPs8xWnoCOGz3EPQHzx4gLZt28r1+FTULN3s7e0RGhoKb29vKmpy5M2bNxgwYAAePnwIgUCAhQsXYvHixbTabxF5enpi8ODBSE9PR82aNeHr64uqVasCAOLi4lC9enWZ7dXU1KCvr4+4uLh8jzdv3jxMnz5d+n1KSgpMTExgb2//05FhBREKhfD19YWdnV2eKbL4gPIVH5+zAeUrn0gkwosXL6Q9Oe/evYvw8HC8ffsWb9++lb7XqF69urQnp5WVFVq2bAlNTU2FZlMEylc0BdWZfkQhRc0fNVrf27t3L3r06AFjY+MfHnPIkCGoXbs2jIyMEBISgjlz5iAsLAxnzpzJd/vy0NCVJA9jDPHx8YiMjMSbN28QGRmJyMhIac/Ld+/eQSQS/fAYVapUgZmZGczMzFC7dm2oqqpiwYIF0NXVLcnDAgDs27cPV69eRWpqKhwdHYu8f37X5t9//wUAdOjQoVjHLK6y9HNTlrPwLQ+fsvApT3EaOkL4TFtbG87Ozjhx4gROnz4t16JmTk4OwsPDAVBRs7Tq0aMHNm/eDB8fHzDG5N6Tl/zYxYsXMWrUKCQnJ8PAwABHjhxBz549uY5VKnXr1g3BwcH48OED9uzZg4EDB+LevXt5ipmFpampmW+BQ11dvcSvU+RxDEWifMXH52xA+clnYWEBCwsL6RopCQkJ8Pf3x507d3Dnzh0EBgYiISEBFy5cwIULFwCIf+dbt26NDh06wNraGtbW1qhWrZrcsykK5St8jqJSSFGzsI3W+/fv4e3tjVOnTv30mLknim7WrBlq1qwJGxsbvH79GvXq1cuzvSIauvv37yMpKQlqamq8eMIlCnpMKSkp0iHiERERePPmjcz3X79+/eFxNTU1UadOHelX3bp1Zb6vXLmydFuhUAgvLy/o6urK5do4Ozvj6tWruHz5MmbPnl3s4+S+Nu/fvwcA1KlTh5Pnjy9/KCT4lIdPWQB+5eFTFoD7PHy6FoTIy4ABA3DixAmcOnVKrkPQ3717h8zMTKirq6N27dpyOSZRrs6dO0NDQwNRUVF49eoVFaeVRCgU4sCBA9IFUa2srHDy5EmYmJhwG6wUq1ChAurXr4/69eujffv2aNCgAfbu3Yt58+bB0NAQCQkJMttnZ2cjKSmp0FOPEUJKr+rVq+OXX37BL7/8AkA8lWBQUJC0yHn37l0kJiZKv5do2LAhrKysoKurizp16qBp06ZQUSnyWtiklFNIUfNHjVZu+/fvh4GBAXr37l3kc7Rr1w4AEB4enm9RU94YY+jbty8SEhIwb948tGzZUuardu3aSv/0PCsrC7Gxsbh69Srevn2bp3gpmd+yIAKBAMbGxnkKlpL/GxoacvZHwcnJCVOnTsWtW7fkNjm+ZPVzekFKCCGETyRD0N++fYv79+9LX+OUlGToef369WmobClVoUIFdOzYEdevX4ePjw8VNZUgOjoagwYNkr5xdnFxwerVq6GhocFxsrJFJBJJ1z+wsrLC58+fERQUhFatWgEQTxslEonk9veQEFJ6aGpqSntjzpo1C4wxhIeHSwucd+7cwfPnz/Hy5Uvpax0PDw/o6+vDysoKHTp0QIcOHdC6dWtaXLocUOicmhK5Gy0Jxhj279+PESNGFKvnTXBwMACgZs2a8oj4U1++fEHVqlXx4cMHxMfH4/LlyzJzRVapUiVPobN+/folKgoyxhAXFyfTwzL3/9+/f//TIeIGBgYF9rQ0NTXNtzcrH9StWxf/+9//8Pz5c3h7e2Pw4MElOh5jTFrUpNXPCSGK5Ofnh3Xr1iEoKAixsbE4e/Ys+vTpk++2EyZMwK5du7Bx40ZMmzYNgHhRs+XLl+P69euIi4uDkZERhg0bhgULFtCb6jLq+yHo8i5qUiGsdLO3t5cWNSdNmsR1nDLt6tWrGDJkCBITE6Gjo4N9+/Zh0KBBXMfivdTUVOlUFwAQERGB4OBg6Ovrw8DAACtXrkTv3r1Rs2ZNfPjwAR4eHoiOjsaAAQMAiFdP7tmzJ8aOHYudO3dCKBRi0qRJGDx4cL4rnxNCyheBQIAGDRqgQYMG+P333wEASUlJ8Pf3x61bt+Dp6Yk3b94gKSkJly5dwqVLlwCI5+Zt2bKltMhpbW2ttPoRUZ4iFzVL2mhJXL9+HRERERgzZkyec0RHR8PGxgaHDh1C27Zt8fr1axw7dgyOjo4wMDBASEgIXFxc0LlzZzRv3rwYD7vo9PT0EBwcjLNnz0rn9Xz48CEePnyIp0+f4tOnT7h27RquXbsm3UdXVxeWlpYyhc5GjRpBTe3bZU9OTs53aLhknsuMjIwf5tLQ0EDdunVRr169fIuXxZ0/lA+cnZ3x/Plz6RytJZGYmIjMzEwIBIISLTxECCE/k5aWBgsLC4waNQp9+/YtcLuzZ88iICAgzxu2Fy9eQCQSYdeuXahfvz6ePn2KsWPHIi0tDe7u7oqOTzgycOBAaVFz3bp1chn9QUXNssHe3h5z587FjRs3kJWVRR9uKIBIJMKKFSuwZMkSMMbQvHlz/Pnnnz/8G06+CQwMRLdu3aTfS9Y1GDlyJHbu3IkXL17g4MGD+PDhAwwMDNCmTRvcunULTZo0ke5z9OhRTJo0CTY2NlBRUUG/fv2wZcsWpT8WQkjpoK+vj169esHe3h5WVlaws7PD06dPpT0579y5g9jYWNy/fx/379/Hxo0bAYinopMUODt06IAmTZrQaJZSrshFTXk0WoB4gSBra2s0atQozzmEQiHCwsKkq9xqaGjg6tWr2LRpE9LS0mBiYoJ+/fph4cKFRY1fYpqammjXrh06duwovS0rKwvPnj2TFjkfPnyIx48fIzU1Fbdu3cKtW7ek22ppaaF58+bIycnBmzdv8OnTpx+eT0VFBSYmJvkWLE1MTBAUFIRevXqVyXnmnJycsGbNGnh5eSE7O1umGFxUb9++BSDu2VsWrxUhhD8cHBzg4ODww22io6MxefJkeHt7o1evXjL39ezZU2Yhirp16yIsLAw7duygomYZ1rNnT+jq6sp1CLqkqGlubl7iYxHuWFhYoFq1akhMTERAQAA6d+7MdaQyJTExEcOGDYOPjw8AYMyYMVi/fj1u3LjBcbLSo2vXrmCMFXh/QQu75qavr49jx47JMxYhpBxRV1dH27Zt0bZtW0ybNg2MMURFRUkLnHfu3MGTJ0+knciOHDkCQNx5zcrKSlrkbNeunVwWPibKU+QqkTwaLQA/bLTMzMxkzmFiYoKbN28WPqSSaWhowNLSEpaWlhg9ejQA8eTWYWFhMoXOR48e4cuXL7h//77M/lWrVi1wXktTU9MCi3BCobBMr4LZvn176OvrS7uWd+rUqdjHovk0CSF8IRKJMHz4cMyaNSvPB34FSU5Ohr6+/g+3yczMlJnqRbJSvFAohFAoLFZWyX7F3V+e+JQFkH8eNTU19OrVCydPnsSJEyfQsmXLEmeRFDXr1q2r1OvGp+eKT1mA4uexsbHBiRMn4OXlBSsrK06zKAoXefz9/TFkyBBER0dDW1sb27Ztw/Dhw3l1bfiQgRBCShuBQAAzMzOYmZlh6NChAMSvjQMCAqRzcwYEBCAlJQXe3t7w9vYGAKiqqsLCwkJa5OzQoQPVEHhOKXNqlkdqampo0qQJmjRpguHDhwMQv5F9/fo1goODoaGhIS1gVqxYkeO0/KSmpgZHR0ccOXIEFy9eLFFRU9JTk+bTJIRwbc2aNVBTU8OUKVMKtX14eDi2bt36016abm5uWLp0aZ7bfXx8SjxJuq+vb4n2lyc+ZQHkm6dOnToAgCNHjqBLly5F/uAydxahUIjIyEgA4jbQy8tLbjmLk4drfMoCFD1PjRo1AAD//vuv3Iqaxc2iaMrIwxjDhQsXcOjQIeTk5KBWrVqYPXs2DAwMZH5X+HBtJCPXCCGElIyenh7s7e1hb28PQNwR7cmTJzJD1t++fSvtlLZt2zYAgLGxscy8nBYWFiUaRUrki54JJVJRUZFOcEsKx8nJCUeOHIGnpyfWrl1b7ONIipr0KQshhEtBQUHYvHkzHj58WKiCVXR0NHr27IkBAwZg7NixP9x23rx50ilhAPGn0SYmJrC3ty/2/MpCoRC+vr6ws7PjfOoOPmVRVJ5u3bph27Zt+PDhA6pWrVroIej5ZXn+/DkYY9DT08Nvv/2m1JEdfHqu+JSlJHksLS2xefNmvH79Gm3btkXVqlU5y6Ioysrz+fNnjB07FufPnwcgns92x44dMp0M+HRtJL3uCSGEyJeampp0xO3EiRMBAO/fv5cpcgYHB+P9+/c4efIkTp48CQCoUKEC2rVrJy1yWllZoVKlSlw+lHKNipqE13r06AE1NTWEhobi9evXqFevXrGOQyufE0L44NatW0hISJD5W5STk4MZM2Zg06ZN0p51ABATE4Nu3brB2toau3fv/umxNTU1oampmed2dXX1Er8pl8cx5IVPWQD55lFXV0fv3r1x7NgxnD17Vmb+7qJmiYiIACBeJIirhWX49FzxKQtQ9DympqZo1qwZnjx5Aj8/P7muyF3ar01RPHr0CP3798ebN2+goaGBjRs34s8//yyw6M+Ha8P1+QkhpDwxNjbGwIEDMXDgQADihbIfPHggLXL6+/sjOTkZ169fx/Xr1wGIh7o3bdpUZsh6nTp1yvRUgXyiwnUAQn6kcuXK0mHnnp6exT4O9dQkhPDB8OHDERISguDgYOmXkZERZs2aJZ3LBxD30OzatStatWqF/fv3Q0WFmuvyYsCAAQCA06dPQyQSFfs4tPJ52SMZLidZ0IYUHmMMu3fvhpWVFd68eQMzMzPcuXMHf/31F73pJIQQUiBdXV1069YNCxcuxOXLl5GUlIQnT55g586dGD58OOrVqwfGGJ48eYJdu3ZhxIgRqFevHoyMjNCvXz9s2rTpp4tDk5KhnpqE95ydnXHjxg1cvHgRU6dOLdYxqKcmIURZUlNTER4eLv0+IiICwcHB0NfXh6mpKQwMDGS2V1dXh6GhoXSFaklBs3bt2nB3d0diYqJ0W0NDQ+U8CMIZySro7969w/3799G+fftiHYeKmmWPvb091q9fDx8fHzDGqBhXSGlpafjzzz9x+PBhAOLXlQcPHkSVKlU4TkYIIaS0UVFRQdOmTdG0aVOMHz8eABAXF4e7d+9Kh60HBQUhLi4OZ86cwZkzZ1CtWjX069evTPe8T0lJQWhoKEJDQ9G5c2fUrVtXaeemoibhPScnJ0yfPh03b95ESkpKkeeGy8rKQmxsLADqqUkIUbzAwEB069ZN+r1knsuRI0fiwIEDP93f19cX4eHhCA8Ph7Gxscx9jDG5ZiX8o6WlJR2CfurUKSpqEqlOnTpBU1MT79+/x4sXL9C4cWOuI/FeaGgoBgwYgGfPnkFVVRWrVq3CzJkzqfc7IYQQuTE0NETfvn3Rt29fAMDXr18RFBSEO3fuYNOmTYiLi8PevXsxbdo0boOWEGMMCQkJ0uKl5Ov58+eIiYmRbrd7924qahKSW4MGDWBubo6wsDD4+Pigf//+Rdo/JiYGjDFoamqiWrVqCkpJCCFiXbt2LVLxMfc8mgDw+++/4/fff5dvKFKqDBw4EMeOHcPp06fh7u5erAIMFTXLHm1tbXTu3Bm+vr7w9vamouZPHD9+HGPHjkVaWhpq1qyJEydOoHPnzlzHIoQQUsZpa2ujY8eO6NixIypWrIiJEydi7dq1mDBhArS0tLiO91MikQhRUVF5ipehoaE/HEpvaGiIxo0bQ19fX4lpqahJSgknJyeEhYXh4sWLRS5qSubTNDY2pk/mCSGE8F6PHj1QsWJFvH//Hvfu3YOVlVWR9k9OTkZ8fDwA8QeDpOzo0aMHfH194ePjU+p7fChKZmYmXFxcsGPHDgBA9+7dcezYMdSoUYPjZIQQQsqbkSNHYvHixYiNjcWePXswefJkriPJeP36Ne7evYvg4GC8fPkSoaGhePHiBb5+/Zrv9gKBAHXq1EHjxo3zfFWuXFm54f8fFTVJqeDs7Iz169fDy8sLOTk5UFVVLfS+NJ8mIYSQ0kQyBP3o0aM4depUkYuar169AiD+xLyoU7YQfpMsFvTff/8hMzMTmpqaHCfil4iICAwYMABBQUEAgIULF2LJkiVFet1ICCGEyIuGhgYGDBiAHTt2wM3NDWPHjuVNb82///4b48aNy3eEmYaGBho2bJincNmwYUNoa2tzkLZgVNQkpYK1tTUqV66MDx8+4N69e7C2ti70vrTyOSGEkNJmwIABOHr0KP755x+sX7++SCMNaOh52dW0aVMYGhoiLi4Ofn5+sLOz4zoSb1y4cAEjR47E58+fYWBggCNHjqBnz55cxyKEEFLOde/eHZ6ennj37h1vemsmJSVh9uzZYIzBzMwMHTt2RJMmTaTFy7p160JNrXSUC2ksLikV1NXVpS9MPT09i7Qv9dQkhBBS2uQegh4QEFCkfamoWXYJBAL88ssvAIB169ZxnIYfhEIhZs+ejV9++QWfP39G+/bt8ejRIypoEkII4QV1dXXMnTsXAODm5oaMjAyOEwHLly/Hp0+f0LRpU6xfvx779u3D3Llz8csvv6Bhw4alpqAJUFGTlCLOzs4AgIsXLxZpP+qpSQghpLSRDEEHgNOnTxdpXypqlm1z5syBmpoafH19cfPmTa7jcCo6Ohrdu3eXFninTZuGmzdv0ms+QgghvDJy5EiYmJhI59bkUnh4ODw8PAAAa9asKfVTtFBRk5QaPXv2hKqqKp4+fZpnteAfoZ6ahBBCSqOBAwcCEBc1RSJRofejombZVqdOHYwZMwaAeM7I/ObCKg+uXr0KS0tL3L59G3p6evjnn3+wceNGaGhocB2NEEIIkaGhoYEFCxYA4L635pw5cyAUCtGzZ88yMY0NFTVJqaGvr48OHToAKNoQdOqpSQghpDSyt7dHxYoVER0dXegh6IwxKmqWAwsXLoSmpiZu374NHx8fTrNcvXoVDx48UNr5RCIRli1bBnt7eyQmJsLCwgJBQUHo16+f0jIQQgghRfXHH39w3lvz1q1bOHPmDFRUVODu7s5JBnmjoiYpVZycnAAUvqj55csXfP78GQAVNQkhhJQuWlpa0vkTT506Vah94uPj8eXLF6ioqKBu3bqKjEc4VKtWLfz1118AuO2tee7cOdjZ2aFt27bo3r07rl27ptAsHz58gKOjIxYvXgzGGMaMGQN/f3/Ur19fYeckhBBC5IHr3poikQjTp08HAIwZMwZNmjRR6vkVhYqapFSRzKt548YNfPny5afbS4aeV6pUCXp6egrNRgghhMibZAj6P//8U6gh6GFhYQAAMzMzaGpqKjQb4dbcuXNRoUIFBAYG4vz580o/f3p6OqZNmyb9/saNG7C1tYWVlRUuXrwo9+Kmv78/LC0t4e3tDW1tbRw4cAB79uyBtra2XM9DCCGEKAqXvTWPHz+OwMBA6OrqYtmyZUo9tyJRUZOUKubm5qhXrx6ysrJw9erVn27//v17ADSfJiGEkNLJ3t4eenp6iI6Ohr+//0+3p6Hn5Uf16tUxdepUAICrq2uR5l2Vh9WrVyMqKgqmpqYIDQ3F5MmToaWlhXv37qF3795o0aIFTp48iZycnBKdhzGGjRs3onPnznj//j3Mzc1x7949jBw5Uk6PhBBCCFEOrnprfv36FfPmzQMg/lC0Ro0aSjmvMlBRk5QqAoFA2luzMEPQJT01aeg5IYSQ0khTU7NIQ9CpqFm+zJw5E5UqVcLTp09x8uRJpZ339evXWLt2LQBgw4YNaNSoEbZs2YLIyEjMnj0burq6CAkJweDBg/G///0P+/fvh1AoLPJ5kpOT0b9/f0yfPh3Z2dkYNGgQHjx4gGbNmsn7IRFCCCFKwUVvzU2bNuHdu3cwNjaGi4uLUs6pLFTUJKWOZF7NS5cu/bRXAq18TgghpLQbMGAAgMINQaeiZvlSpUoVzJw5EwCwePFiZGdnK+W806ZNQ2ZmJuzs7NC3b1/p7TVq1MCaNWsQFRWFJUuWoEqVKnj58iVGjRqF+vXrw8PDA1+/fi3UOYKDg9GqVSucOXMG6urq2LZtG44fP46KFSsq6mERQgghCqfs3poJCQlwc3MDAKxatQo6OjoKPZ+yUVGTlDqdOnWCnp4e4uPjERgY+MNtqacmIYSQ0k4yBD0mJgZ379794bZU1Cx/pk6diqpVq+LVq1c4dOiQws/n6ekJT09PqKurY+vWrRAIBHm20dfXx+LFixEVFYW1a9eiRo0aePv2LSZNmoQ6depg3bp1Bc6NzhjDnj170L59e7x+/Rq1a9fGnTt3MHHixHzPRQghhJQ2yuytuXjxYnz58gWtWrXC0KFDFXouLlBRk5Q6Ghoa6NGjBwDg4sWLP9yW5tQkhBBS2uUegn769OkCt8vOzsbr168BUFGzPKlYsSLmzp0LAFi6dCkyMzMVdq6MjAzpPJ4uLi4wNzf/abZZs2YhIiIC27Ztg6mpKeLj4zF79mzUrl0by5Ytw6dPn2SOP2rUKIwbNw6ZmZlwcnLCw4cP0aZNG4U9JkIIIUTZlNVb8/nz59i9ezcAYP369VBRKXslwCI/Ij8/Pzg7O8PIyAgCgQDnzp2TuX/JkiVo1KgRKlSogCpVqsDW1hb37t2T2cbMzAwCgUDma/Xq1T88b0ZGBiZOnAgDAwPo6uqiX79+iI+PL2p8UkZIhqD/bF5N6qlJCCGkLCjMKuhRUVEQCoXQ1NSkdq+c+euvv1CzZk28ffsWf//9t8LOs27dOrx58wZGRkZwdXUt9H7a2tqYOHEiXr16hX379qFBgwb49OkTFi9ejNq1a2Pu3Lm4ffs2Zs+ejaNHj0JVVRWrV6/G+fPnoa+vr7DHQwghhHBFGb01Z82aBZFIhD59+qBLly4KOQfXilzUTEtLg4WFBTw8PPK9v2HDhti2bRuePHmC27dvw8zMDPb29khMTJTZbtmyZYiNjZV+TZ48+YfndXFxwcWLF3H69GncvHkTMTExMnP4kPLF0dERAoEAwcHB0sLl9xhjNKcmIYSQMsHOzu6nQ9BfvXoFAGjQoEGZ/CSeFExbWxsLFy4EAKxYsQLp6elyP0dkZCRWrVoFQNzbQ1dXt8jH0NDQwB9//IHQ0FCcOHECzZo1w5cvX7BmzRp0794db9++Rc2aNXH9+nXMmTOHfo4JIYSUWYrurXn16lV4eXlBTU0Na9askeux+aTIrxQcHBywYsUK/Prrr/neP2TIENja2qJu3bpo0qQJNmzYgJSUFISEhMhsV7FiRRgaGkq/KlSoUOA5k5OTsXfvXmzYsAHdu3dHq1atsH//fty9excBAQFFfQikDKhatSqsrKwAiBcMyk9ycjIyMzMhEAhQq1YtZcYjhBBC5EpTUxN9+vQBUPAq6JKiJg09L5/GjBmD2rVrIy4uDtu3b5f78adPn46MjAx07doVgwYNKtGxVFVVMWjQIAQHB+P8+fNo27YtAKBZs2a4f/8+OnfuLI/IhBBCCK8pqrdmTk4OZsyYAUA8mqMsvzZUU+TBs7KysHv3blSqVAkWFhYy961evRrLly+HqakphgwZAhcXF6ip5R8nKCgIQqEQtra20tsaNWoEU1NT+Pv7o3379nn2yczMlJlTKCUlBQAgFAohFAqL9Xgk+xV3f3njUx4usjg6OuLu3bu4cOECRo8enSfPhw8fAACGhoYQCAScXSc+PU8Av/LwKQvArzx8ygLwJw/X5yeESwMGDMChQ4fwzz//YNOmTXl6sUmKmj+b55CUTRoaGli8eDFGjRqF1atXY/z48XJbKdzb2xtnz56FqqpqgYsDFYeKigp69+4NZ2dnvH79Gk+fPkWNGjXkcmxCCCGE7yS9NSdMmIDVq1dj7Nix0NLSKvFxDx48iJCQEFSuXBmLFi2SQ1L+UkhR09PTE4MHD0Z6ejpq1qwJX19fVK1aVXr/lClT0LJlS+jr6+Pu3buYN28eYmNjsWHDhnyPFxcXBw0NDVSuXFnm9ho1aiAuLi7ffdzc3LB06dI8t/v4+JR4CXtfX98S7S9vfMqjzCySF+pXr17FmTNn8vzyS4qaurq68PLyUlqugvDpeQL4lYdPWQB+5eFTFoD7PIoYUklIaWFnZ4dKlSohNjYWd+7cQadOnWTup56aZPjw4Vi9ejVevnyJTZs2FWney4JkZmZiypQpAMSv4Zs2bVriY35PIBCgdu3aePbsmdyPTQghhPDZH3/8gZUrV+Ldu3f4+++/MWnSpBIdLzU1VTolzcKFC2FgYCCPmLylkKJmt27dEBwcjA8fPmDPnj0YOHAg7t27h+rVqwMQD1+RaN68OTQ0NDB+/Hi4ublBU1NTLhnmzZsnc56UlBSYmJjA3t4eenp6xTqmUCiEr68v7OzsoK6uLpecJcGnPFxkYYxh48aNiIyMhIaGBhwdHWXySBYRatasmcx9ysan54lvefiUhW95+JSFT3kkve4JKY8kq6AfOnQIp0+fpqImyUNNTQ1Lly7Fb7/9Bnd3d0ycOLHEC+1s2rQJL1++RI0aNbBkyRL5BCWEEEIIANnemm5ubhgzZkyJemu6u7sjNjYWdevWLXGBtDRQSFGzQoUKqF+/PurXr4/27dujQYMG2Lt3L+bNm5fv9u3atUN2djYiIyPzHTJlaGiIrKwsfP78Waa3Znx8PAwNDfM9pqamZr4FUnV19RK/IZfHMeSJT3mUncXJyQnbtm3D5cuX88zzKlmcqnbt2ry4Pnx6ngB+5eFTFoBfefiUBeA+D5+uBSFcGDhwYL5D0DMzM/H27VsAVNQs7wYOHIhVq1bhyZMncHd3ly7uUxzv37/H8uXLAYhXPi9uxwBCCCGEFExevTVjYmKwbt06AOIpH+XVaZDPlLKkoEgkkpnf8nvBwcFQUVGR9uT8XqtWraCuro5r165JbwsLC8Pbt2+li8WQ8snZ2RmAeMoDxpjMfZLh57TyOSGEkLLi+yHoErGxsQCAKlWqlPlhRuTHVFRUpIXIzZs3IyEhodjHmjFjBtLS0tCxY0cMGzZMXhEJIYQQkou8VkJfuHAh0tPTYW1tjf79+8szIm8VuaiZmpqK4OBgBAcHAwAiIiIQHByMt2/fIi0tDfPnz0dAQACioqIQFBSEUaNGITo6GgMGDAAA+Pv7Y9OmTXj8+DHevHmDo0ePwsXFBcOGDUOVKlUAANHR0WjUqBHu378PAKhUqRJGjx6N6dOn48aNGwgKCsIff/wBKyurfBcJIuVHly5doKuri9jYWDx8+FDmPklR08TEhItohBBCiNxpaGjkuwp6TEwMAHEvTXkt4kJKr969e6N169ZIT0/H6tWri3WM69ev49SpU1BRUcG2bdvo54oQQghRIMlK6DExMfj777+LvH9wcDAOHDgAAFi/fn25abeLXNQMDAyEpaUlLC0tAYjnx7S0tMSiRYugqqqKFy9eoF+/fmjYsCGcnZ3x8eNH3Lp1C02aNAEgHhZ+4sQJdOnSBU2aNMHKlSvh4uKC3bt3S88hFAoRFhYmsyDExo0b4eTkhH79+qFz584wNDTEmTNnSvr4SSmnqakJe3t7AJDOoSlBPTUJIYSURQMHDgQA/PPPP8jJyQEgW9QkRCAQYMWKFQCA7du34/3790XaXygUYvLkyQCAv/76CxYWFnLPSAghhJBvStJbkzGGmTNngjGGQYMGlavOf0Uuanbt2hWMsTxfBw4cgJaWFs6cOYPo6GhkZmYiJiYG58+fR5s2baT7t2zZEgEBAfj8+TO+fv2K58+fY968eTJj/c3MzMAYQ9euXaW3aWlpwcPDA0lJSUhLS8OZM2cKnE+TlC9OTk4AgIsXL0pvEwqFSEpKAkA9NQkhhJQttra2qFy5MuLi4qRD0KmoSb5nb2+PTp06ITMzEytXrizSvlu3bsXz589RrVo1LFu2TEEJCSGEEJJbcXtrenl54dq1a9DQ0ICbm5sCE/KPUubUJESRHB0dIRAIEBQUJH1TFxMTA8YYNDQ0CpyrlRBCFMHPzw/Ozs4wMjKCQCDAuXPnCtx2woQJEAgE2LRpk8ztSUlJGDp0KPT09FC5cmWMHj0aqampig1OSo38hqBTUZN8L3dvzb///htv3rwp1H6xsbHSVc5Xr14tnR6KEEIIIYqloaGB+fPnAyh8b83s7GzMmjULADB16lTUqVNHoRn5hoqapNSrUaMG2rZtCwC4dOkSAODdu3cAAGNjY+nKsIQQogxpaWmwsLCAh4fHD7c7e/YsAgICYGRklOe+oUOH4tmzZ/D19YWnpyf8/Pwwbtw4RUUmpZBkrvJ///0XOTk5VNQk+ercuTPs7e2RnZ1d6B6Xs2fPxpcvX9CuXTv8/vvvig1ICCGEEBlF7a25Z88ehIaGwsDAQFoQLU/UuA5AiDw4OTnh3r178PT0xNixY6VFTRp6TghRNgcHBzg4OPxwm+joaEyePBne3t7o1auXzH2hoaG4cuUKHjx4gNatWwMQDwV1dHSEu7t7vkVQAMjMzERmZqb0+5SUFADi6TiEQmGxHotkv+LuL098ygJwn6dLly7SIejnz5+XPt+1a9fm/BpxfW1y41MWgJs8ixcvho+PDw4fPozp06ejcePGBWa5ffs2jhw5Iu1BnpOTI523VdH49FzxMQshhJDyQVNTE/Pnz8eff/4JNzc3jBkzBlpaWvlum5KSgsWLFwMAlixZgsqVKysxKT9QUZOUCc7OznB1dYWvry++fv1KRU1CCG+JRCIMHz4cs2bNki6il5u/vz8qV64sLWgC4jkUVVRUcO/ePfz666/5HtfNzQ1Lly7Nc7uPjw90dHRKlNnX17dE+8sTn7IA3OZp2bIlrl+/joULFwIADAwM4Ofnx1me7/HpueJTFkD5edq2bYv79+/jr7/+kg5R+z5LTk4Opk+fDkA8H2d8fDy8vLyUmjN3Hj7gQ5bcC6cSQggpH/744w+sWrUK7969w99//41Jkyblu52bmxsSExNhbm6O8ePHKzklP1BRk5QJzZs3h4mJCd69e4cbN25IV/k0NjbmOBkhhMhas2YN1NTUMGXKlHzvj4uLyzMXsJqaGvT19REXF1fgcefNmyctSADiT25NTExgb28PPT29YmUVCoXw9fWFnZ0d1NXVi3UMeeFTFr7kUVFRwfXr1xEeHg4AaNKkCRwdHTnJkhsfrg0fs3CZx9jYGG3atMGdO3ewceNGtGjRIk8WDw8PREVFQV9fHwcOHICBgYHS8gH8eq74lEXSC5sQQkj5UZjemlFRUdi4cSMAYO3atZy3V1yhoiYpEwQCAZycnLBjxw54enri7du3AABTU1OOkxFCyDdBQUHYvHkzHj58CIFAINdja2pqQlNTM8/t6urqJX6RI49jyAufsgDc5unRowcqV66Mz58/AwDMzc3p2hSAT1kA5edp1aoVBg0ahBMnTmD58uW4cOGCTJakpCTp4kCrVq2CoaGh0rJ9j0/PFR+ycH1+Qggh3PhZb8358+cjMzMTXbt2hbOzM0cpuUcrqJAyw8nJCQDg6ekps1AQIYTwxa1bt5CQkABTU1OoqalBTU0NUVFRmDFjBszMzAAAhoaGSEhIkNkvOzsbSUlJnBYaCP9oaGjITEfQoEEDDtMQvluyZAlUVFRw8eJFBAQEyNw3b948JCcno2XLlhgzZgxHCUlp5efnB2dnZxgZGUEgEODcuXPS+4RCIebMmYNmzZqhQoUKMDIywogRI6SLm0mYmZlBIBDIfK1evVrJj4QQQvhD0lsTyLsS+v3793Hs2DEIBAKsX79e7p0lShMqapIyo3v37tDR0cG7d+/w9OlTADSnJiGEX4YPH46QkBAEBwdLv4yMjDBr1ix4e3sDAKysrPD583W1ssAAAQAASURBVGcEBQVJ97t+/TpEIhHatWvHVXTCU5JV0AEqapIfMzc3x4gRIwAArq6u0tsDAgKwf/9+AICHhwdUVVU5yUdKr7S0NFhYWMDDwyPPfenp6Xj48CFcXV3x8OFDnDlzBmFhYejdu3eebZctW4bY2Fjp1+TJk5URnxBCeCu/ldAZY5gxYwYA8XuLli1bchmRczT8nJQZWlpasLW1xYULF8AYA0BFTUKI8qWmpkrnOASAiIgIBAcHQ19fH6ampnnmqVNXV4ehoSHMzc0BAI0bN0bPnj0xduxY7Ny5E0KhEJMmTcLgwYMLXPmclF82NjYwNDREYmIimjVrxnUcwnOLFy/G0aNHcfXqVdy8eRM5OTmYOnUqAGDUqFFo3749xwlJaeTg4AAHB4d876tUqVKeBZe2bduGtm3b4u3btzJTRVWsWJFGJBBCSC75za156dIl3L59G9ra2li5ciXXETlHRU1Spjg7O0vnidLR0Sn24hiEEFJcgYGB6Natm/R7yeI9I0eOxIEDBwp1jKNHj2LSpEmwsbGBiooK+vXrhy1btigiLinlNDQ04Ovri0uXLtE80uSnzMzMMGbMGOzYsQOLFy9G8+bN8ejRI1SuXBlubm5cxyPlRHJyMgQCASpXrixz++rVq7F8+XKYmppiyJAhcHFxgZpa/m9XMzMzkZmZKf1esqCSUCiEUCgsVi7JfsXdX9EoX/HxORtA+UqCz9kA+eQbNmyYdG7NrVu3YteuXQCAadOmoUaNGiU6Nt+uX3FyUFGTlCm5V32tWrUqh0kIIeVV165dpb3FCyMyMjLPbfr6+jh27JgcU5GyzNzcHK9fv+Y6BiklFi5ciP379+Pu3bt48OABAGD58uWoXr06x8lIeZCRkYE5c+bgt99+k+l8MGXKFLRs2RL6+vq4e/cu5s2bh9jYWGzYsCHf47i5uWHp0qV5bvfx8YGOjk6JMn7fs5RvKF/x8TkbQPlKgs/ZgJLn69WrF3bu3Im5c+dCJBKhcuXKaN68Oby8vHiRT17S09OLvA8VNUmZYmRkhFatWiEoKAjVqlXjOg4hhBBCCK8YGRnhr7/+woYNGyAUCtGsWTNMmDCB61ikHBAKhRg4cCAYY9ixY4fMfZJRDQDQvHlzaGhoYPz48XBzc4OmpmaeY82bN09mn5SUFJiYmMDe3r7YI7WEQiF8fX1hZ2fHy1XnKV/x8TkbQPlKgs/ZAPnls7GxwaVLl6QLIq9evRr9+vXjTT55kfS6LwoqapIyZ8CAAQgKCkLt2rW5jkIIIYQQwjtz587Fnj178OXLF2zZsqXAIb6EyIukoBkVFYXr16//tPDYrl07ZGdnIzIyUjrndG6ampr5FjvV1dVL/MZcHsdQJMpXfHzOBlC+kuBzNqDk+dTV1bFgwQJMmDABzZo1w5gxY+S6sB9frl9xMtArGFLmzJgxA/Xq1ePNvBCEEEIIIXxSrVo13LhxA97e3ujQoQPXcUgZJylovnr1Cjdu3MizYF5+goODoaKiQtMiEELI/xs3bhyqV6+Odu3aybWgWdpRUZOUOWpqavjll1/kNr8EIYQQQkhZ07x5c7x//57rGKQMSE1NRXh4uPT7iIgIBAcHQ19fHzVr1kT//v3x8OFDeHp6IicnB3FxcQDE80draGjA398f9+7dQ7du3VCxYkX4+/vDxcUFw4YNQ5UqVbh6WIQQwisCgQC//vor1zF4h4qahBBCCCGEEEKKJTAwEN26dZN+L5nrcuTIkViyZAkuXLgAAGjRooXMfjdu3EDXrl2hqamJEydOYMmSJcjMzESdOnXg4uIiM2cmIYQQkh8qahJCCCGEEEIIKZauXbuCMVbg/T+6DwBatmyJgIAAeccihBBSDqhwHYAQQgghhBBCCCGEEEKKgoqahBBCCCGEEEIIIYSQUoWKmoQQQgghhBBCCCGEkFKFipqEEEIIIYQQQgghhJBShYqahBBCCCGEEEIIIYSQUqXcrH4uWXUvJSWl2McQCoVIT09HSkoK1NXV5RWtTOThUxa+5eFTFr7l4VMWvuXhUxY+5ZH8Df/ZSqqk7LV7fMrCtzx8ysK3PHzKwrc8fMrCtzx8ykLtXuGUtTYvP5Sv+PicDaB8JcHnbADlK6ritHnlpqj55csXAICJiQnHSQghhJTUly9fUKlSJa5j8Bq1e4QQUnZQu/dj1OYRQkjZUZQ2T8DKycd+IpEIMTExqFixIgQCQbGOkZKSAhMTE7x79w56enpyTli68/ApC9/y8CkL3/LwKQvf8vApC5/yMMbw5csXGBkZQUWFZlD5kbLW7vEpC9/y8CkL3/LwKQvf8vApC9/y8CkLtXuFU9bavPxQvuLjczaA8pUEn7MBlK+oitPmlZuemioqKjA2NpbLsfT09HjxhEvwKQ+fsgD8ysOnLAC/8vApC8CvPHzKAvAjD/VUKZyy2u7xKQvArzx8ygLwKw+fsgD8ysOnLAC/8vAlC7V7P1dW27z8UL7i43M2gPKVBJ+zAZSvKIra5tHHfYQQQgghhBBCCCGEkFKFipqEEEIIIYQQQgghhJBShYqaRaCpqYnFixdDU1OT6ygA+JWHT1kAfuXhUxaAX3n4lAXgVx4+ZQH4l4coB5+edz5lAfiVh09ZAH7l4VMWgF95+JQF4FcePmUhysP3553yFR+fswGUryT4nA2gfMpQbhYKIoQQQgghhBBCCCGElA3UU5MQQgghhBBCCCGEEFKqUFGTEEIIIYQQQgghhBBSqlBRkxBCCCGEEEIIIYQQUqpQUZMQQgghhBBCCCGEEFKqUFGzlKF1nUhpRz/DhJDCor8XhMgX/U4Rwm/0O0pI6UO/t9yiomYpkpSUBIFAwHUMAMC1a9fw9OlTrmNI3b9/H4MHD8bjx4+5joLU1FSuI/BWfHw8b36Gr1+/jqtXr3IdQ+revXuwsbFBQEAAAO4bR67PTwif2jyAX+0etXmlB5+uz40bNxAXF8d1DKkHDx5g8uTJePXqFddRkJWVxXUEQnjX7uXGpzYwP3xqF/PDp7agtOH7teNb25obn9rZ/Mir7aWiZilw7tw5dOrUCQMHDsS4cePw4MEDzrL8+++/aN68Oezs7PDw4UPOckicOXMG5ubmaN++PU6dOoV3795xluX8+fOwsrLCkCFDMGvWLERERADgR3GI6wznzp2DlZUVfvnlFwwePBjnzp3jLNeZM2fQrFkz2Nra4vXr10o/f355zM3N0bFjR9y4cQOPHj0CAE5f1H78+JEXL6ovX76MsWPH4r///gPA/c8xUQ4+tXkAv9o9avMK5uXlhblz5+LZs2ec5pA4d+4cunfvjhEjRmDOnDmIjo7mLIvkZ9jGxga3b9/mLEfuPI0aNUK7du3g4eGBtLQ0zrJI/t6MGTMGq1atQnp6OmdZqM0rv/jW7uXGpzYwP3xqF/PDt7YyN761m9/jUzuaH761rbnxqZ3Nj9zbXkZ468mTJ6xz587MxMSELVq0iB04cIA1adKE9enTh8XHxys1S2BgIKtZsyarUaMGc3V1ZampqUo9//eOHTvGqlWrxqpWrcpWr17N3rx5wypVqsRu377NSZ5169axOnXqsMWLF7MjR46wFi1asI4dO7IXL14wxhgTiURKzXP58mXWt29fdvr0acYYYzk5OUo9v8TLly9Z9+7dmZmZGVuyZAk7d+4cs7OzY61bt2aRkZFKzfLkyRNWvXp1ZmBgwBYvXsz5z/DZs2dZlSpVWLVq1ZibmxuLiYlhZmZm7OjRo4wx5f/MMMbYhQsXWOvWrVnnzp3Z+PHjpb9Pys4SHR3NRowYwapVq8Z0dXWZq6urUs9PuMGnNo8xfrV71OYVLCIigg0ePJhVrFiRqampsX379int3PkJDAxk1tbWzNjYmC1YsIC5u7szAwMDNmnSJJaSkqLULHfu3GG1atVihoaGbOHChZy3e3v37mWGhobMwMCArV69mgUFBTEtLS326tUrpWcRCoVs/vz5zMzMjC1cuJBt2bKF1apViw0ePFj6+kRZP8fU5pVffGv3cuNTG5gfvrWL+eFTW5kb39rN7/GpHc0P39pWxr79LPGpnc2PotpeKmrymK+vL5s9ezZ78+aN9LatW7eypk2bsvfv3ys1y6VLl5hAIGBBQUHS2yIjI5lQKFRqDsYYS0tLY1OnTmU7duyQnj8mJobVq1ePbdy4kTGmnEZCco6EhATWsGFDtnfvXul9z549Y82aNWO//vqrwnPkFh8fz8aMGcNMTExYtWrV2LBhw5R6/u+ve0hICJsxYwYLCwuT3nb27FnWqFEj9vjxY6VmefHiBRMIBOzMmTPS20JDQ9mXL18UmiO/PBkZGWzdunVs586d0p9hkUjELCws2Jw5cxhjyi9E7927l9WtW5ctXbqUXbhwgTk6OrLatWuze/fuKTUHY4y9efOGDRgwgF26dImNHz+e2drasvv37zPGuCvQE8XjU5vHGH/aPWrzfiwgIIANHDiQ3bhxgzk4OLA+ffqwiIgImczKkp2dzY4cOcLmzZvH3r59K7199uzZrHXr1iw9PV2pWbZs2cIEAoH0ejDGWGxsrPT/yrw+ycnJrF+/fmz79u3Sn+PAwEBmamrKTpw4obQcksf85s0b1qBBA5nXBL6+vqxhw4ZswoQJjDHxNVQGavPKJ5FIxLt2Lze+tIH54Uu7+CN8aytz41O7+T0+taP54Vvbmhtf2tkfUVTbS0VNnkhNTWX+/v4sMzNTeltcXFyeT+lcXV3ZnDlzFPoiJ78snz9/Zt27d2dOTk5s586drHHjxqxdu3asVatW7PLlyywjI0MpeSR/JL7/Y/Hu3TvWoEED5uHhobAc32eRuHHjBmvSpAnz8fGR3vb582dWp04dJhAIWEBAgMLyfH8dvnz5wvr3789OnTrFVqxYwdq3b8+8vLwYY4p/Yfz169c8udLS0lhCQoLMdqtWrWKjRo2SuYbKyMIYY7/99htr3749W7t2LWvQoAFr3bo1Mzc3Z7t27VJocTN3noKehw8fPrAOHTqw6dOnK7wx/P74KSkprEmTJmzt2rXS2z5+/Mi6du3KunTpwj5//qywLOnp6dJPrCUyMjKkhfAHDx4wS0tLtnLlSoVlIMqX3/MeHx/PSZtXUB6u2r38snxPWW1eflm4bPPS0tLY06dPZf6GJSQksGfPnjHGGLt69SozNjZmx48fV1iGn+WJiIjI83M8bdo0tm7dOoX+bc8vy4sXL1j79u3ZqFGj2L59+1jz5s1Zhw4dmK2tLQsODlbo71V+eSQkt7169Yrp6+uzK1euKCxHQVmOHDnCzM3NpT87jIl7TFaqVIkJBAL27t07mazykvu1j+TYWVlZ1OaVA/k994mJiZy1ez/LlpKSwtl7vx/lK+i6KKtdzE9+1+/mzZuctZW5paen5ymQJyYmctZufi+/fJGRkZy0o/nJLx+XbevPskkou53NT375jh49qpC2l4qaHPvy5QubNGkS09HRYebm5sza2lr6iU7uJ/Pff/9lderUYaqqqqxp06bMwcFBpsKtqCx///03Y0zcgPzzzz9MIBCwDh06sAMHDrDTp08zR0dH1rRpU7Zlyxa5Zikoj+Ta5P5jIblOdevWZStWrGCMyf/T9fyy7NmzhzHG2OvXr1nDhg3Z8uXLpd3PfX19WZ8+fVjTpk3ZoEGD8mSWh+8Ld5Lr8Pr1a8aYeOi3vb09GzNmjFzP+70PHz6wadOmsUqVKrEDBw4wxvK//t7e3szc3Jypqamx//3vf8za2ppt27aNMSa/a/OzLEFBQdKf4YMHD7Jr166xUaNGsf/9739s7ty5cslQlDwSkueudevWbMqUKQVuJw/5FXzDw8OZpaWlNGNOTg7LzMxkbdu2ZQKBQCGf7sXFxbFRo0YxQ0ND1rp1a2Zvb88uX74sPX9uw4cPZ46Ojuzp06f53k9Kjx8978pu8wrKk/uDIGW2e/llkbwIVXabl1+WS5cuMca4afOSk5PZ+PHjWcWKFVmzZs2Yg4MD8/b2zvc8HTt2ZEOHDmXR0dGMMcX0mMgvT37P1fHjx5mpqSlTVVVlLVu2ZIMHD2Z3795VWpb09HTm7u4u/Rnet28f27FjB2vbti2ztLRk//zzj1yzFJQnv+dKJBKx9PR0ZmhoyHbv3p3nfkVlkfy9ef78OdPR0WGHDx+W/oycO3eOOTo6soYNG7JJkybJNVNiYiKbPHkyMzc3ZxcvXmSMFfx7S21e2VLY515Z7V5Rsin7vV9h8uX3+6CMdrGw+SQ95KKiojh5fyghaceNjY2ZtbU1GzRoEHvy5AljLG+7qIx2s7j5lNGOFjZfSEgIY0z8XkrZbevPsuV37ZTRzhY2n2SEZmhoqELaXipqcuzw4cPM3Nyc3blzh92/f5+NGzeOaWhoMD8/P5nt9u/fz1atWsWioqLYnTt32OTJk1m1atVYcnKy0rIkJCSwHTt2yAwbTktLY2PHjmUdOnSQe3fwwl4bxsQvXHv06MFGjRol1wzfZ7l9+7ZMlhs3bjDGGFu+fDkzMTFhXbt2ZU2bNmXa2tps06ZNbOXKlaxu3bpyvTaFLZQxJv6018rKit26deuH2xVXaGgoc3BwYG3btmXt27dnPXr0yLON5A/W2bNn2caNG1l0dDQLCQlha9asYQKBQG5zBhUmC2PiYdb+/v7S77Ozs9nSpUtZrVq15Npbs7B5GPt2jUaMGMHs7OzkliG3/H5uJC+84uLiWLdu3dioUaOkPWtv3brFBg4cyNq1a8dsbGwYY/JrCG/dusXatGnDnJ2d2c2bN9mlS5dYz549mZWVlfT8IpFI+vN65coVZmlpKR1SREqnwjzvkudcGW3ej/JI/i7FxMSwnTt3KrzdK+zvhIQi27zcWf777z+ZLJLhVUuWLGG1a9dWSpvHGGObN29mTZs2Zbdv32Y+Pj6sV69ezMjIiL18+VK6TVZWFmNM/AbIzMyMnTt3Tq4ZipJH8rdyw4YNbMmSJezVq1fMy8uL9e3bl7Vp00au828VlEXSwzY4OJht2bJFZhqYjx8/MgcHBzZ06FC5j5oozHMlERUVxdq0acOWLVsm1wzfZ7l165ZMlufPnzPGGBs1ahSrVasW6927N7OwsGB6enps27Zt7M8//2Q2NjZyuzaPHj1inTt3Zi1atGDNmzdn48ePz3c7avPKnsI895K/7cpo94qaLS4uTiltYHHz5abo94I/ytesWTOZfJI2YNmyZUptKxkT/zx5e3szCwsL1rt3b3bt2jV28OBB1rx5czZo0CCZ0VeS9wHKaDeLmk+Z7WhR8iUlJTHGxG3r1q1blda2Fibbp0+f8uyj6Hb2R/muXr0qk+/Dhw+MMSYteMqz7aWiJsfat2/PJk6cKP1eJBKxAQMGsFatWsnMzfC9O3fusDp16kg/FVJ0FskbvPz++G7YsIG1aNFC7gu/FPXatG/fnrm4uMg1w8+ytGjRgn3+/JllZWWx+/fvs9mzZ7O1a9eymJgYxpj42nTu3FluxbLCFsokDcH9+/dZt27dpL3/5C09PZ1NmDCB+fv7s3379rFGjRqx8+fPM8Z+XkB99+4dMzIykvYGVlYWyRvf3P755x9Wv3599uDBA7lkKUqe3AYNGsQGDBgg94b6Rz83kp+VAwcOsPr167NWrVqxxo0bMzU1NbZ+/Xp26NAhpqurK7cX1Tk5OWzfvn1s/Pjx0t8TxsSLW7Vr167ACd779evHfv31V2lP5PyeR8JfhX3eC+odIO8272d5JB8E5eTkyPRulpBnu1fc3wlFtHk/y3Lz5k3GmPhN7YMHDxTe5jEmHtaXu/cNY+Jic+fOnQtsA1u2bMnGjRvHEhMTGWNMrnPAFSeP5Of62LFjrGnTptL5EhWZxd7enjEm/luZu02RZJk2bRrr3LmzXBddKM61qV27NnN3d2eMybcHyY+y2NraMsYY+/TpE7t8+TIbM2YMW7lypfTneOrUqczJyUlumeLj49moUaPYo0eP2KJFi5iVlZX0A/qCjk9tXtlQmOdeWe1eUbJJXqcqow0sTr6Cfm8U+V6wKPkkv6/p6elKayslsrKy2KpVq9jMmTOlbSBjjO3evZtZW1tL/6Z8T5HtpjzyKaodLWo+yYI7ymxbC5utoGunqHa2qPkkH7YmJSWxK1euyLXtpaImRyRPVLt27aR/fCV/PCIjI5mKigo7fPhwgftt2bKFGRsbs/DwcM6ySBq80aNHsyZNmrC0tLQSZylOHsl9Q4YMkfZyk1e3+cJmye8XLzs7m/Xu3Vv6xkIeilMomzlzJuvYsSN79OgRY+zbvC8lvUaS/SV/0CMiIljfvn2Zs7NzofY7cuQIMzExYYGBgSXKUZIskudt3rx5zMzMTOYPsDLzSJ67GTNmMAsLC5ls8vCjnxvJC6/s7Gz26tUrtnbtWrZx40YWFxfHGBMPh2rRooV0jhN5CAsLk36aKHmcQUFBTFNTU2bSbUkuxhg7ffo0a9OmDdu6dSs7deoU69+/P+eTmZOiKcrzLqGINq8keRTV7hXnd0IRbV5hs+R3PkW0eSKRiGVkZLCmTZtK5/yVnPu///5jqqqq0gK0JANjjO3YsYM1btyYnTt3jp08eZJNnjxZLteoKHly/w2X/H/RokWsdu3achmhUJgs+Y1skVwjZ2dn1qFDB7m1NUV9riTntbW1ZcOHD5fZXh5ZMjMzi3xtGBMX7Dt16sSGDh0qlywSkje4Dx8+/OGHzdTmlT2Ffe4lFNnulTSbotrAkuZTdLtY3HzKaiu/FxgYKG3HJdfG29ub6erq5pknX9HtZknzSSiiHZVnPkW1rSXJpsh2tiT58stQ0rZXBYQTKioqyMjIQPv27REUFITs7GyoqakhOzsbtWvXhrOzMw4fPiyzz9evX5GRkYHDhw/j8OHDmDhxIurVq8dZFqFQiP379+PBgwdYvnw5dHR0SpylqHkYY1BTUwNjDNWrV4dIJMLXr18hEAiUmkVFRQWMMQBAQkIC0tLSsGvXLkRGRmLZsmVyycIYg7a2Ntzd3dG+fXt069YN//vf//D3338DAFRVVWW2F4lEAAAnJyeoq6vj2LFjOH36NLp16waRSFTiayTZv0KFCgAAMzMz2NjY4OXLl7h58yYAICcnR2af5ORkpKam4siRI9i8eTOGDh2Kli1blihHSbKkp6fj4MGDuHz5MhYsWICqVauWOEtx8kieO1NTU6SlpSE5ORkqKvL58/yznxt19f9j777Dojj6OIB/7+hVQJGiWBBFxYIaC6iIGrHFii12YzQxoLHE3sWeRE3sGpVYMFaMGhv23isC9oICiqL0fvP+ce+tHBxwBxw3B7/P89yj7O3tfreww87NzugBkJ7rTk5OmDhxIsaOHQsbGxsAwH///QcdHR3Y2dkVSR4AqFGjBiwsLMAYE/bV5cuX8dVXX8Ha2lpuXtm+8fDwwIcPHzBmzBgMGzYMFSpUEM5xoh1UOe6A+sq8wuRRV7mn6u+Euso8ZbNkXZ+6yjzZehITE+Hs7IyQkBBkZGQI6/bw8EDTpk2xfv16ANJrqux60aNHD4SHh6Nnz54YPHgwLCwsiuR6oUoe2TU8PT0d6enpQlkzbdo0lC9fvliybNiwQe4zGRkZyMzMxF9//YWXL1/Cz8+vyMoaVY+VWCxGZmYmjI2NYWhoKDd/UWRJSEhQat/IyuJPnz4hJSUFf/31F+Lj4zF9+vQiySJjZmYGAGjQoAEaNWqE27dv486dOwAgd25SmVfy5HXss/9tqu5yT5Vs2c83dZaBhc2n7nKxoPmKq6zMrlGjRkI5LrvGnzp1Cm3btoW5ubncvOouNwubD1BfOVpU+dRZthYmmzrL2cLky5qhyMreAlWFknzJmibn1oJPVnO9Zs0a1qhRI6EjaFkruoMHDzJ9fX3hce99+/axcePGMScnJ2ZnZ8f++OMPjWXZtWsX++mnn1iVKlWYvb09W7t2rdJZ1JFHNn/Pnj1Z165dVeqfpKizREVFMT8/P1axYkVmY2MjdMqrLqtXr2bOzs7s7NmzQubs3r9/Lwz4UqZMGTZs2DCWnp6e7zc1+e0bRQNXBAcHs44dO7L+/fvn+MzJkyfZL7/8IpzDy5YtU3o7izrL8ePH2ejRo4VzeOXKlUpnUUce2TyjR49m7dq1E/ocUZf8zpvw8HAWFxfH1q9fz+rVq6fSiHl57ZvMzMwcj1vJfu7RowebMWOGws9u3bqVGRgYsIoVKwqDSxG+FPVx379/f4HLPHXk2bNnT4HLvaLOIpuvqMu8gmR59+5docq8//77j92/f194BC/rsrOWwZMnT2YtW7bM0Qpy5cqVzMbGRu5zf/31FzMxMWEODg4qj4Jb1Hm2bt3KRo8ezZycnJi9vb1K16+izrJ582b2448/sqpVq7IKFSqo3PVLUeeRze/m5sYGDx6s0SyPHj1ic+bMYQ4ODszW1lbod1qZFi15Zcn6O5X1vTNnzrCWLVuyqVOnKlwmlXnaoaiPfWHLPXVmK0wZWBz5ClMuFke+wpaVBcmWfcCY1q1bs3Xr1uV4j7HClZvqzrdt27YCl6PFkW/Lli2FKlvVmU02f0HK2eLI9/jx4wKXvdlRpWYRSk1NZcuWLWM6OjrMzs4ux/sSiSTHH15RUVGsQ4cOzNvbW27eI0eOsMqVKwuP5j59+pQtXbqU7dq1S+NZHj16xObNm8cCAgKUyqKuPLdv32aMffmFUvbRYXVkuXXrlpAlKCiI7d69W6ksWRV1RRlj0sF5ypYty2xsbJQqBFTdN7Jm5LIbCIlEwn777Tfm7OzM7t69yxhjwmPMb9++ZX/99ZfSI8KpM8vr16/ZypUrVRrVWx15ZI9OyOYpSP8rRX3epKamsgULFrCKFSuy8uXLK/XHTWH3TVRUFCtXrhy7du2aME/WvnyuX79eqD/uiXqo47jLvjAKCwtTqcxTd56HDx+qVO6p83dClkldZZ4yWWTdVqSmpqpc5iUnJ7MZM2YwCwsL5urqyqpWrcq8vLyEftvS09NzXM/CwsJYw4YN2S+//CI3fe3atTn6dfv3339VGpVXHXmeP3/OGGPswYMHbMqUKUqfN+rMcvv2bTZmzBi2fft2JfeM+o8VY9JBDDSVRdadQnx8PNu9ezfbuXOnWrLIyvas/RT6+PgwT09PoQz/+PGjMD+VefxSx7GXXctDQ0NVLveKK1twcLDK937FkU/2e6NquVhc+WSNFFJSUgp8f1iYbLJpISEhzMrKSm5Qm6wNGlQtN4sjn+zvjDt37qhUjhZ3vhs3bqhctqo7m+zYyv5Vtpwtrnyyv2c/f/6sUtmbF6rULCJpaWnszz//ZC1btmTjxo1jJiYmbM+ePYyxnJUNd+7cYV26dGHOzs4sPT2dbd68mVWpUoWtWbNGmGf27NnMzc2tQB2D85SFtzw8ZWFMvRVljDF2//59pb8xKui+kX1bI6swu337NmvXrh3z9vZmw4YNY/b29sLovcpSZ5aC/MGjrjwVKlRQed8wpv7z5ubNm2zfvn1KZSnsvmFMOpJyy5YtGWOMvXnzho0ePZq1atVKqfUTzVDXcffw8ND6PDz9TvCUhTHp6LQjR45krVq1YgcPHmRxcXFsz549zNHRkU2bNi1Hnq5duwr9o82aNYvVqVNH7trk6+srvK/teXjKwluekpBF1veg7Pfu6NGjzMPDg/n6+rLBgwezypUrFygPKT7qOvaVKlUq0dnUma+ofm943n8FzZa1teoPP/zAunfvzhiTluPjxo0T+ljkNd/AgQNLfL7SemyLKl9WVKlZhPbv3892797NPnz4wIYMGSIM+JHVggULWNmyZdmwYcOEyoS4uDi2ZMkSpqenxzp27Mh69erFLCwsCtX8m6csvOXhJQtvFWWMqb5v7t+/n+P9U6dOsYoVKzKRSMRat27NTpw4ofVZeMpT0s6bxMRE1r59e/bDDz+wUaNGMV1dXebm5sbOnDlToCyk+PB23HnKQ1kUi4uLYyNHjszRYn/ChAlyo2OPGTOGmZqasqFDhwp5wsPD2bhx45hIJGJDhw5lvXv3ZuXKlSvUN/w85eEpC295tD1LSEhIjuUEBQWxMmXKMJFIxDw9Pdnx48cLlIcUH3Uf+8IM4MFztuLIV1g85ytstg8fPrDmzZuz+fPnsxEjRjA9PT3WpEkTdvny5UJno3wlN5s25MuKKjUL4OLFi3J9zGXvH4gxxi5dusR0dHTYyZMnGWNfmtk+fvw411GEjx49yqZNm8ZGjBjBHjx4oHVZeMvDU5bcaKqiTF375o8//mAGBgase/fucs3MtSULj3kUKUnnzdOnT5lIJGIikYh16dKF3bt3L98cpHjxdtx5ykNZlM/DmPTGODY2Nse8HTt2ZD///LPw8/3793M8piyzdetW5uPjwwYPHsyCg4O1Mg9PWXjLUxqyTJ8+nYlEIta7d+9C/z1A1IPnY89zNsrH37G9fPmyUI537ty5UH9nU76C5+M5mzbkyw9VaqogNDSU9ezZk4lEIlahQgW5/m9kZN9kJSYmsq5duwqPaCkawCX7Z7Q1C295eMoiw0tFmbr2jWx7Xrx4IfcYs7Zk4TEPYyX/vJEte926dSrvG6J+vB13nvJQlsLlkWXKzMxksbGxrGbNmkIH8bnJ3vG8NubhKQtveUpDFlkZHhoayiIiIpTKQooXz8ee52yUj79jK7veXblyhS1durTAT2NRvsLl4zmbNuRTlnrGmi+BUlJScPToUYhEIvzzzz+Ij4/HgQMHcswnG6Le2NgYvr6+OH/+PG7dugUdHR0wxhQuO+uw9tqWhbc8PGUBgLCwMHh7e6Nly5YYPnw4YmJiAABisfRXL+v6XF1d0blzZ/j5+cmtr3r16qhYsaLcciUSCQCga9eueP36NQIDA1GjRo08s6hz38i2p0qVKihfvny++4WnLDzmKS3nDQDUrFkTP/zwg9L7hhQP3o47T3koS+HzyIjFYty6dQspKSno2bNnnsvOWgYrWx7zlIenLLzlKS1ZZGV4zZo1YWdnl28WUrx4PvY8Z6N8fB5b2fWuWbNmmDhxIqytrVXORvkKl4/nbNqQTyVqrzYtQS5cuCCMAD5q1ChWp04dlpCQkOv8cXFxzNPTk3Xr1o0xJu3XRzYaWknKwlseXrIkJyezZcuWMW9vb7Zr1y5mbm7ONm3alOdnTpw4wUQikZC/sH3YZMfLvuEtC0956LwhvODtuPOUh7IUPo+sdcvgwYPlOo1PT08XWpyXtDw8ZeEtD2UhPOD52POcjfKV3GyUr+Rm04Z8yqJKzQJ69OgR09XVzXeE4P379zMdHR02ePBgpqOjw+bMmcNSUlJKbBbe8mg6C283m1lpet/wmoWHPHTeEN7wdtx5ykNZCp7n/fv3rGrVquzChQssPj6ezZ07l4nFYhYYGFjkWXjLw1MW3vJQFsIDno89z9koX8nNRvlKbjZtyJcXqtT8v7S0NKXmk0gkQiuoPn36sObNm+d6IxAcHMy6d+/ORCIRa968Odu9e7fWZeEtD09ZVKXum02e9g1PWXjMo4rSdN6Q4sPbcecpD2Upvjx///03K1++PBs8eDAzNTVl9erVU2lUap7y8JSFtzyUhfCA52PPczbKR8eW8mlfNm3IV5RKfaXm3bt32bfffsv69evHpk+fLtcZvkQiybM57Y0bN5hYLBYG6Mjq5cuXrHPnzqxx48bsypUrWpeFtzw8ZZHh5WaTp33DUxYe8zBG5w3RLN6OO095KEvx5ZE9xuTr68tEIhHr1KkTO3PmjFbm4SkLb3koC+EBz8ee52yUj44t5dO+bNqQTx1KbaXmhw8fmK+vL7O2tmZDhw5l8+bNYxYWFqxv374KRwMODAxUOAy9l5cX69KlC4uPj2cnTpxgR44ckVuHtmXhLQ9PWWR4udnkad/wlIXHPIzReUM0i7fjzlMeylL8eY4ePcoYY+zBgwfs6dOnWpmHpyy85aEshAc8H3ues1E+OraUT/uyaUM+dSq1lZqBgYGse/fu7NixY8K08+fPM0dHRxYUFCRMW79+PatcuTIrU6YMO336dI7lHD58mIlEIla5cmUmEonYhg0bWGZmpkoDdfCUhbc8PGXh7WaTp33DUxbe8tB5Q3jA23HnKQ9l0UyeglwreMrDUxbe8lAWwgOejz3P2SgfHVvKp33ZtCGfOpWaSs2wsDC5RzcvXbrEDhw4IDSnZYyx1NRUZmpqyk6cOMEYY+zJkyfsxx9/ZH/++SeLjY2VW15qaipbt24ds7e3Z+XKlWPz5s3LcyAPXrPwloenLNlp+maTp33DUxYe82RF5w3RBN6OO095KAvloWNVcvcNT1lI8eL52POcjfLRsaV82pdNG/IVpxJdqZmZmckWLlzIHBwcWOPGjVmzZs3Ytm3bcswnqxS4dOkSc3JyYs+fPxem51ZhEB4ezkaMGMHmzp2rdVl4y8NTlqx4uFDwtG94ysJjHhk6b4im8HbcecpDWShPQfLwlIW3PJSF8IDnY89zNspHx5byaV82bcinKSW2UvPZs2esa9eurEmTJiwgIIBdu3aNeXt7swYNGrDz588zxhjLyMiQ+8yqVatYq1atlB7IQxuz8JaHpyyM8XWh4Gnf8JSFxzx03hBN4+2485SHslAebc/CWx7KQnjA87HnORvlK7nZKF/JzaYN+TSpxFVqyioGgoKC2KBBg9iNGzeE98LCwlirVq3Ypk2bFH7OxcWFLVu2rERm4S0PT1lkeLlQ8LRveMrCYx7G6LwhmsXbcecpD2WhPNqehbc8lIXwgOdjz3M2yldys1G+kptNG/LxoERUat65c4ctWrSIXbp0SRgw4/nz5+zly5dy8yUnJzMzMzN28OBBYZrsJDlz5gwrX748i4uLY4wxFhoayn777Te5EYq1LQtveXjKkhUPFwqe9g1PWXjMk33ZdN6Q4sbbcecpD2WhPHSsSu6+4SkLKV48H3ues1E+OraUT/uyaUM+3mhtpaZEImGfP39mw4YNY8bGxqx58+asYsWKzM3NjX38+DHHvIxJH/msVq0ae/z4cY7lzZs3j40cOZJdvnyZdezYkYlEIjZs2DD2+fNnrcrCWx6esmTFw4WCp33DUxYe88jQeUM0hbfjzlMeykJ56FiV3H3DUxZSvHg+9jxno3x0bCmf9mXThnw809pKTca+jCB8+/ZtlpGRwR48eMDs7e3ZiBEjWHh4OGNMesBlB33x4sWsc+fOOZYTExMjjCisp6fHBg8ezCIjI7U2C295eMnC44WCl33DWxae8tB5Q3jB23HnKQ9loTx0rIo2D2UhPOD52POcjfLRsaV82pdNG/LxSqsrNSdNmsTc3NzkKgN27drFatasydatW5dj/lq1arE1a9bkmB4ZGck8PT3Zb7/9xpKTk7U+C295eMrC24WCp33DUxbe8tB5Q3jA23HnKQ9loTzanoW3PJSF8IDnY89zNspXcrNRvpKbTRvy8Yr7Ss2MjAy2ZMkS1r9/f7Zs2TIWEhIivDdz5kxWs2ZNxhhj6enpwvROnTqxPn36CJUNjDF2/PhxZm9vz+Lj41laWhr7448/WP369VlERIRWZuEtD09Z8qKJCwVP+4anLDzmyU1pP29I8eHtuPOUh7JQHjpWJXff8JSFFC+ejz3P2SgfHVvKp33ZtCGfNuK2UjMjI4Nt2rSJVahQgTVr1oz5+vqy6tWrs+rVqwv91509e5bp6OiwsLAwxhhjqampjDHGtmzZwpydndnly5cZY9IWVBMmTGBdunRh8+bNY1ZWVqxKlSpsw4YNjDHGMjMztSYLb3l4ypI1Ew8XCp72DU9ZeMwjy0TnDdEU3o47T3koC+WhY1Vy9w1PWUjx4vnY85yN8tGxpXzal00b8mkzbis1P3z4wJo3b87Wrl0rHJT09HRmamoqjCj8/Plz9tVXX7GBAwcyxr4c9LS0NGZkZMQOHTrEGGMsPj6eOTk5MZFIxBo1asQCAwO1NgtveXjKwtuFgqd9w1MW3vLQeUN4wNtx5ykPZaE8dKxK7r7hKQspXjwfe56zUb7C5eM5G+UrXD6es2lDPm3GbaUmY4wtWrRIGGFYdkA9PT3ZmDFjhGlr165lenp6cgNyREVFMXt7e7Z+/XrGmPQEWrlyJbtz506JyMJbHl6y8Hih4GXf8JaFpzx03hBe8HbcecpDWSiPtmfhLQ9lITzg+djznI3yldxslK/kZtOGfNqK60rN7JKTk1mVKlXY0aNHhWkfP35krVq1Yu7u7uz48eOMMcbWrVvH6tWrp9YRnnjKwlseTWbh/UJBx4nPPHTeEB7xdtx5ykNZKI+2Z+EtD2UhPOD52POcjfKV3GyUr+Rm04Z82oL7Ss2sj2sGBQUxJycn9ubNG7npr169Yl9//TWzt7dn9erVY4aGhuz3338v8r4EeMrCWx6esmTFw4WCp33DUxYe88jQeUM0hbfjzlMeykJ5tD0Lb3koC+EBz8ee52yUr+Rmo3wlN5s25NNG3FdqMibt844xxkaMGMG++eYbufckEgljTPrY58WLF9m2bdtYSkpKqcjCWx5esvB4oeBl3/CWhac8dN4QXvB23HnKQ1koj7Zn4S0PZSE84PnY85yN8pXcbJSv5GbThnzaRisqNRlj7NOnT6xixYosKCiIMcZYUlIS27dvH3v06FGpzsJbHl6y8Hih4GXf8JaFpzx03hBe8HbcecpDWSiPtmfhLQ9lITzg+djznI0xylcYPGdjjPIVBs/ZGOM/nzYRQ0ucPHkS1apVQ+3atTFjxgxYW1tj8uTJpT4Lb3l4yaKjo4PPnz/j6NGj+PnnnwEAycnJ2L9/P548eQIAMDU1RfPmzTFw4EAYGBioPRMv+4a3LDzlofOG8IK3485THspCebQ9C295KAvhAc/HnudsAOUrDJ6zAZSvMHjOBvCfT6toulZVGRKJhPXs2ZOJRCJmaGjI6tSpI4w2XJqz8JaHpyyMMbZnzx7WqlUr9vbtWzZ9+nRmYmLCnJycNPLtB0/7hqcsPOah84ZoGm/Hnac8lIXyaHsW3vJQFsIDno89z9kYo3yFwXM2xihfYfCcjTH+82kbXU1XqipDJBLBxcUFCQkJWLRoERo2bEhZOMzDUxbGGHbu3Inz58+jWrVqcHJywj///INvvvlGI3l42jc8ZeEtD503hAe8HXee8lAWyqPtWXjLQ1kID3g+9jxnAyhfYfCcDaB8hcFzNoD/fNpGxBhjmg6hDIlEArGYj6flecoC8JWHpyyzZs3CtWvXuLlQ8LRveMoC8JWHzhvCA96OO095KEvuKE/ueMoC8JWHshAe8Hzsec4GUL7C4DkbQPkKg+dsAP/5tInWVGoSoiq6UJCCoPOGEEIIIYQQQgjhH1VqEkIIIYQQQgghhBBCtAo1RyKEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CSEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CSEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CSEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CSEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CSEEEIIIYQQQgghhGgVqtQkRIP8/f0hEokgEolw8eLFHO8zxuDg4ACRSIRvvvlGmJ6QkIDZs2ejTp06MDExQdmyZeHq6oqff/4ZERERwnxz5swRlp/9tW7dOlSpUiXX97O+/P39i2N3EEIIKeGo3COEEFJaUJlHiPrpajoAIQQwNDREQEAAWrRoITf93LlzePPmDQwMDIRp6enp8PDwQFhYGIYMGYLRo0cjISEBDx8+REBAAHr06AF7e3u55axduxampqZy05o2bQpbW1skJCQI044cOYKdO3di+fLlKFeunDDd3d29KDeXEEJIKUflHiGEkNKCyjxC1IcqNQnhQKdOnbBnzx78+eef0NX98msZEBCARo0a4cOHD8K0AwcO4M6dO9ixYwf69+8vt5yUlBSkpaXlWH6vXr3kCi6Z6tWry/0cFRWFnTt3onv37qhSpUoht4oQQghRjMo9QgghpQWVeYSoDz1+TggHvv32W3z8+BFBQUHCtLS0NOzduzdHYfbs2TMAQPPmzXMsx9DQEObm5uoNSwghhBQSlXuEEEJKCyrzCFEfqtQkhANVqlSBm5sbdu7cKUw7evQoYmNj0a9fP7l5K1euDADYunUrGGNKLT8mJgYfPnwQXp8+fSq68IQQQoiKqNwjhBBSWlCZR4j6UKUmIZzo378/Dhw4gOTkZADAjh070KpVqxx9pnTv3h3Ozs6YNWsWqlatimHDhmHz5s14//59rst2dnaGtbW18GrQoIFat4UQQgjJD5V7hBBCSgsq8whRD6rUJIQTffr0QXJyMg4fPoz4+HgcPnw4x+MIAGBkZIRr165h4sSJAKSj6g0fPhx2dnYYPXo0UlNTc3xm3759CAoKEl47duxQ+/YQQggheaFyjxBCSGlBZR4h6kEDBRHCCWtra3z99dcICAhAUlISMjMz0atXL4XzlilTBkuXLsXSpUvx6tUrnDp1Cr/99htWrVqFMmXKYP78+XLze3h4KOw8mhBCCNEUKvcIIYSUFlTmEaIe1FKTEI70798fR48exbp169CxY0dYWFjk+5nKlSvju+++w6VLl2BhYUHfzBFCCNEaVO4RQggpLajMI6ToUaUmIRzp0aMHxGIxrl69qvBxhLxYWlqiWrVqiIyMVFM6QgghpGhRuUcIIaS0oDKPkKJHj58TwhFTU1OsXbsWL1++RJcuXRTOc+/ePVSoUCHHIwavXr1CSEgInJ2diyMqIYQQUmhU7hFCCCktqMwjpOhRpSYhnBkyZEie7wcFBWH27Nno2rUrmjVrBlNTUzx//hybN29Gamoq5syZUzxBCSGEkCJA5R4hhJDSgso8QooWVWoSomW8vb0RHx+PEydO4PTp04iJiYGlpSWaNGmCCRMmoHXr1pqOSAghhBQZKvcIIYSUFlTmEaIaEWOMaToEIYQQQgghhBBCCCGEKIsGCiKEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CSEEEIIIYQQQgghhGgVqtQkhBBCCCGEEEIIIYRoFarUJIQQQgghhBBCCCGEaBWq1CRceffuHXr16oWyZctCJBJhxYoVAIAnT57Ay8sLZcqUgUgkwoEDBzSakxBCCCksKvMIIYSUJlTuEUKKGlVqkiKzZs0a+Pv7F2oZ48aNw/HjxzF16lRs27YNHTp0AAAMGTIEDx48wIIFC7Bt2zZ89dVXBV7HqVOn8N1336FGjRowNjaGo6Mjvv/+e0RGRiqc//Lly2jRogWMjY1ha2uLMWPGICEhQW6eGzduwNfXFy4uLjAxMUGlSpXQp08fPH78WG4+iUQCf39/dO3aFQ4ODjAxMUGdOnUwf/58pKSkKL0NCxYsQNeuXWFjYwORSIQ5c+YonO/Ro0cYN24c3N3dYWhoCJFIhJcvXyq9HplNmzahVq1aMDQ0RPXq1bFy5coc8+zfvx99+/aFo6MjjI2N4ezsjAkTJuDz589Kryc0NBQdOnSAqakprKysMGjQIERHR+eYTyKRYOnSpahatSoMDQ1Rr1497Ny5U6VtOnjwIBo2bAhDQ0NUqlQJs2fPRkZGRo75Pn/+jJEjR8La2homJiZo3bo1bt++rfR6VMmq7PYTQjSPyrySV+aFh4dj7ty5aNKkCSwtLVGuXDl4enri5MmTOeZVdb8q8vbtW/Tp0wcWFhYwNzdHt27d8Pz5c4XzKlMO50WZ4woAqampmDx5Muzt7WFkZISmTZsiKChIpXUpm1WV7SeEaB6Ve/yVe0Vx/7V27Vr07t0blSpVgkgkwtChQxXOR+Ve7qjc0zBGSBFxcXFhrVq1KtQybGxs2IABA+SmJSUlMQBs+vTphVq2TKNGjVjVqlXZpEmT2MaNG9nUqVOZmZkZs7GxYZGRkXLz3rlzhxkaGrIGDRqwtWvXsunTpzMDAwPWoUMHufm8vb2Zra0tGz16NNu4cSPz8/NjNjY2zMTEhD148ECYLz4+ngFgzZo1Y/Pnz2cbNmxgw4YNY2KxmHl6ejKJRKLUNgBgtra2rH379gwAmz17tsL5tmzZwsRiMatTpw5zdXVlANiLFy9U2l/r1q1jAJi3tzfbsGEDGzRoEAPAFi9eLDdf2bJlWd26ddnMmTPZxo0b2ZgxY5i+vj6rWbMmS0pKync94eHhrFy5cqxatWrsjz/+YAsWLGCWlpasfv36LDU1VW7eKVOmMABsxIgRbMOGDaxz584MANu5c6dS23TkyBEmEolY69at2YYNG9jo0aOZWCxmP/74o9x8mZmZzN3dnZmYmLA5c+awVatWsdq1azMzMzP2+PFjpdalbFZVtp8QonlU5pW8Mm/lypXMyMiIffvtt2zVqlVsxYoVrGHDhgwA27x5s9y8quxXReLj41n16tVZ+fLl2ZIlS9iyZcuYg4MDq1ixIvvw4YPcvMqWw7lR9rgyxli/fv2Yrq4u++WXX9j69euZm5sb09XVZRcuXFBqXcpmVWX7CSF8oHKPv3KvsPdfjDFWuXJlZmVlxTp06MB0dXXZkCFDFM5H5Z5iVO5pHlVqkiJTFAWdSCRiPj4+ctNevXrFALBff/21UMuWOXfuHMvMzMwxTVFh2rFjR2ZnZ8diY2OFaRs3bmQA2PHjx4Vply5dylHx9PjxY2ZgYCBXcKemprJLly7lyDR37lwGgAUFBSm1DbKbtOjo6DwLuo8fP7K4uDjGGGO//vqryjd4SUlJrGzZsqxz585y0wcMGMBMTExYTEyMMO3MmTM5Pv/3338zAGzjxo35rmvUqFHMyMiIvXr1SpgWFBTEALD169cL0968ecP09PTkzhOJRMJatmzJKlasyDIyMvJdV+3atVn9+vVZenq6MG369OlMJBKx0NBQYdquXbsYALZnzx5h2vv375mFhQX79ttv812PKlmV3X5CCB+ozCt5ZV5wcDCLjo6Wm5aSksJq1qzJKlasKDddlf2qyJIlSxgAdv36dWFaaGgo09HRYVOnThWmqVIO50bZ43rt2rUc515ycjKrVq0ac3Nzy3c9qmRVdvsJIfygco+/cq+w91+MMfby5UuhstXExCTXSk0q93Kico8PVKlZyr1584Z99913zM7Ojunr67MqVaqwH3/8Ubhoz549mylq0Ltlyxa5m4XKlSszAHKvrIXes2fPWK9evZilpSUzMjJiTZs2ZYcPH86xvOwv2fqzvipXrqyWfWFlZcV69uwp/BwbG8t0dXXZxIkT5eZLTU1lpqambPjw4fkus2HDhqxhw4b5znf//n0GgP35558qZc6voMuqIDd4//33HwPA/vvvP7nply9fZgDYtm3b8vx8XFwcA8DGjx+f77rKly/PevfunWN6jRo1WNu2bYWfV69ezQCwhw8fys0XEBDAAMh9q/b582cWGhrKPn/+LEx7+PAhA8BWr14t9/m3b98yAMzPz0+Y1rt3b2ZjY5OjAB85ciQzNjZmKSkpwrSIiAgWGhrK0tLSCpRV2e0nhBQclXlfUJmnvPHjxzMAQoVpXrLv19w0btyYNW7cOMd0Ly8vVq1aNeFnVcrhxMREFhoaKlcxq8pxnThxItPR0ZG7CWSMsYULFzIA7PXr18K06OhoFhoayhITEwuUVdntJ4QUDpV7X5T0ck9Glfuv7PKq1MwNlXtU7mka9alZikVERKBJkyb4559/0LdvX/z5558YNGgQzp07h6SkJJWWtWLFClSsWBE1a9bEtm3bsG3bNkyfPh2AtENod3d3HD9+HD/99BMWLFiAlJQUdO3aFYGBgQAADw8PbNu2DQDQrl07YRk9e/bE8uXLAQDffvsttm3bJnQonZ6ejg8fPij1kkgkeeZPSEhAQkICypUrJ0x78OABMjIycvTpoq+vD1dXV9y5cyfPZTLG8O7dO7ll5iYqKgoAlJq3OMm2Mfs+aNSoEcRicb77QNntevv2Ld6/f6+w/5wmTZrIrefOnTswMTFBrVq1csyXNTMABAYGolatWsJ5ltc22dvbo2LFijnW1bBhQ4jF8pfKJk2aICkpSa4fnalTp6JWrVp4+/atyllV2X5CSMFQmfcFlXmqiYqKgrGxMYyNjfOcT9F+VUQikeD+/fu5XvOfPXuG+Ph4AKqVw9evX0etWrWwatUqYZoqx/XOnTuoUaMGzM3Nc2QCgLt37wrTVq1ahVq1auH69etyn1cmqyrbTwgpOCr3vihN5V5xrovKPSr3eKCr6QBEc6ZOnYqoqChcu3ZN7hds3rx5YIyptKzu3btjxowZKFeuHAYOHCj33uLFi/Hu3TtcuHABLVq0AACMGDEC9erVw/jx49GtWzc4OjrC0dERgwYNQo0aNeSWYW5ujnHjxqFhw4Zy0y9duoTWrVsrle/FixeoUqVKru+vWLECaWlp6Nu3rzBN1umxnZ1djvnt7Oxw4cKFPNe5Y8cOvH37FvPmzcs339KlS2Fubo6OHTvmO29xioyMhI6ODsqXLy83XV9fH2XLlkVERESen1+yZAl0dHTQq1evfNcD5L6vY2JikJqaCgMDA0RGRgqdZmefD0C+mfJbV9bPR0ZGwsPDQ+F8snXVrVs3z3Upk1WV7SeEFAyVeV9Qmae8p0+fYv/+/ejduzd0dHTynFfRflVEdk3PbV8D0vLB2dm50OWwKsc1MjIy30z5rUuZrKpsPyGk4Kjc+6I0lXvK3n8VBSr3qNzjAVVqllISiQQHDhxAly5dFH5jkL0SpjCOHDmCJk2aCIUcAJiammLkyJGYOnUqQkJCUKdOHZWXW79+faVHJrO1tc31vfPnz2Pu3Lno06cP2rRpI0xPTk4GAIUVSYaGhsL7ioSFhcHHxwdubm4YMmRIntkWLlyIkydPYs2aNbCwsMhnS4pXcnIy9PX1Fb6X3z4ICAjApk2bMGnSJFSvXj3f9QC572vZPAYGBsK/ec0nM3To0Bwj+OW3rri4OLl5lV2Xv79/jhEhlf28KttPCFEdlXlfUJmnvKSkJPTu3RtGRkZYvHhxnvPmtl8VUfaaL/tX2XLY09MzR0WFKsdVlTJvzpw5OUbjVTarKttPCCkYKve+KE3lnir3X4VF5R6Ve7ygSs1SKjo6GnFxcQUqYFT16tUrNG3aNMd02SO5r169KlAOS0tLfP3114XKFhYWhh49eqBOnTr466+/5N4zMjICAKSmpub4XEpKivB+dlFRUejcuTPKlCmDvXv35tmyY9euXZgxYwaGDx+OUaNG5VhOVmXKlMl1nYUVHR2NzMxM4WdTU1OYmprCyMgIaWlpCj+T1z64cOEChg8fjvbt22PBggX5rj+/fZ11HiMjI6XmK+i6sn6+KNal7DbllUmZdRFCckdlnhSVeVK5lXlZZWZmol+/fggJCcHRo0dhb2+f6/Ly2q+KqFrmFaQcVnZdRV3mKZOVyjxC1I/KPanSVO7ldf+lTLmnCir3vnyeyj3No0pNkqfcvsXLelHUlLS0NMTExCg1r7W1dY4CJzw8HF5eXihTpgyOHDkCMzMzufdlTcFlTdizioyMVHiDExsbi44dO+Lz58+4cOFCnjdBQUFBGDx4MDp37ox169bleD978/QtW7bkaHVYVBo3boxXr14JP8+ePRtz5syBnZ0dMjMz8f79e7lm9Wlpafj48aPC7bt37x66du2KOnXqYO/evdDVzf8yk9++trKyEr7ZsrOzw5kzZ8AYkzs/ZZ/Na59nX5eDg0OOdcn6UJHNm1smZdelTFZVtp8Qoj5U5pXuMi+rESNG4PDhw9ixY0eeLVDy26+KyK7pypQvBSmHs1LluNrZ2cn1C51bprzWpUxWVbafEKJeVO6VjHIvv/svZco9ZVG5J78uKvc0jyo1Sylra2uYm5sjODg4z/ksLS0BAJ8/f5ZrLp/1oiiTW6FYuXJlPHr0KMf0sLAw4f2CuHz5coH7Wfn48SO8vLyQmpqKU6dOKezfok6dOtDV1cXNmzfRp08fYXpaWhru3r0rNw2QfsvSpUsXPH78GCdPnkTt2rVzzXPt2jX06NEDX331FXbv3q2w4i/74xYuLi5KbWtB7NixQ67Ju6OjIwDA1dUVAHDz5k106tRJeP/mzZuQSCTC+zLPnj1Dhw4dUL58eRw5ckTpbwArVKgAa2tr3Lx5M8d7169fl1uPq6sr/vrrL4SGhsrt42vXrsllzk3WbcpagRkREYE3b95g5MiRcvNeuHABEolEbrCga9euwdjYGDVq1Mh3XcpkVWX7CSGqozKPyryscivzZCZOnIgtW7ZgxYoV+Pbbb3NdjjL7VRGxWIy6desqvOZfu3YNjo6Owk2iquVwdqocV1dXV5w5cwZxcXFygyYUpHzNK6sq208IKRgq90pPuafM/Vd+5Z6yqNyTR+UeJzQ17DrRvMGDBzOxWMxu3LiR4z2JRMIYY+zw4cMMAPv333+F9xISElilSpUYAPbixQthetOmTVn9+vVzLGvs2LEMALt8+bLcMhwdHVmVKlVYZmamMB0A8/Hxkfv8ixcvGAD266+/yk2PiYlhQUFBSr2Sk5Pl1t2kSRNmZmbGbt68mec+6tChA7Ozs2NxcXHCtL/++osBYEePHhWmZWRksK5duzJdXV3233//5bnMkJAQVrZsWebi4sJiYmLynDc/0dHRDACbPXt2vvP++uuvOY5ZfpKSkpiVlRX75ptv5KYPHDiQGRsbs48fPwrTIiMjmaOjI7O3t1dpHTI//vgjMzIyYq9fvxamnTx5kgFga9euFaaFh4czPT09ufNEIpGwli1bsgoVKrCMjAxh+ufPn1loaCj7/Pmz3Lpq1qzJ6tevLzfvjBkzmEgkYiEhIcK0f/75hwFge/bsEaZFR0czCwsL1rdvX7llRkREsNDQUJaWllagrMpuPyGkYKjMozJPGUuXLmUA2LRp0/KcT5X9qsjixYsZALnzMSwsjOno6LDJkycL01QphxMTE1loaCiLjo6Wm1fZ43r16tUc515KSgpzcnJiTZs2lVtmdHQ0Cw0NZYmJiQXKquz2E0IKjsq9kl/uFfb+KzsTExM2ZMgQhe9RuUflHq9EjKk49BkpMd6+fYuvvvoKcXFxGDlyJGrVqoXIyEjs2bMHFy9ehIWFBdLT0+Hk5ISkpCRMnDgROjo62Lx5M4yMjHDr1i25b8V8fHywdu1azJs3D05OTihfvjzatGmDd+/eoX79+khJScGYMWNgZWWFv//+G/fu3cO+ffvQo0cPIZNIJIKPjw9WrVolTHv58iWqVq2KX3/9Fb/88kuht7t79+74999/8d133+X49s/U1BTdu3cXfr59+zbc3d1Ru3ZtjBw5Em/evMHvv/8ODw8PHD9+XJhv7Nix+OOPP9ClS5cc3+oBEEbyi4+Ph4uLC96+fYuFCxeiQoUKcvNVq1YNbm5u+W7Dtm3b8OrVKyQlJWHRokVo3bq18HjcoEGDhG9EY2NjsXLlSgDSEQSPHTuGCRMmwMLCAhYWFvD19c13XWvWrIGPjw969eqF9u3b48KFC9i6dSsWLFiAadOmCfO5urri3r17mDRpUo4RwW1sbNCuXbs81xMeHo4GDRrAwsICP//8MxISEvDrr7+iYsWKuHHjhtzj15MmTcKvv/6KkSNHonHjxjhw4AD+++8/7NixA/379xfm8/f3x7Bhw3I8znH48GF07doVrVu3Rr9+/RAcHIxVq1Zh+PDh2LBhgzBfZmYmWrRogeDgYEycOBHlypXDmjVr8Pr1a9y4cUNuhLqhQ4fi77//zvFNsbJZVdl+QojqqMyjMi+/Mi8wMBA9e/ZE9erVMWvWrBzvt2vXDjY2NgBU26+KxMfHo0GDBoiPj8cvv/wCPT09LFu2DJmZmbh79y6sra2FeZUth8+ePYvWrVvneKxQ2eMKAH369EFgYCDGjRsHJycn/P3337h+/TpOnToFDw8PYb45c+Zg7ty5OHPmDDw9PVXOqsr2E0IKhsq9kl/uFfb+CwAOHTqEe/fuAQD8/Pzg4uKCnj17AgC6du2KevXqAaByj8o9jmm6VpVo1qtXr9jgwYOZtbU1MzAwYI6OjszHx4elpqYK89y6dYs1bdqU6evrs0qVKrFly5axLVu25Pj2LioqinXu3JmZmZkxAKxVq1bCe8+ePWO9evViFhYWzNDQkDVp0oQdPnw4Rx6o8O1dQVWuXJkBUPiqXLlyjvkvXLjA3N3dmaGhIbO2tmY+Pj5y3/owxlirVq1yXWbWXzPZtuT2yu2bsezyWt+ZM2eUWp+ibc3Nhg0bmLOzM9PX12fVqlVjy5cvF77hlclru7KeC3kJDg5mXl5ezNjYmFlYWLABAwawqKioHPNlZmayhQsXssqVKzN9fX3m4uLCtm/fnmM+2Xm6ZcuWHO8FBgYyV1dXZmBgwCpWrMhmzJgh18pSJiYmhg0fPpyVLVuWGRsbs1atWin8xnvIkCEKWwUpm1WV7SeEFAyVeVTm5WX27Nl55s26LlX3qyLh4eGsV69ezNzcnJmamrJvvvmGPXnyROG8ypTDZ86cybVFjzLHlTHGkpOT2S+//MJsbW2ZgYEBa9y4MTt27Fiu+yrrPlElq6rbTwgpGCr3Sna5VxT3X7J7GEWvrPdQVO5RuccraqlJCCGEEEIIIYQQQgjRKuL8ZyGEEEIIIYQQQgghhBB+UKUmIYQQQgghhBBCCCFEq1ClJiGEEEIIIYQQQgghRKtQpSYhhBBCCCGEEEIIIUSrUKUmIYQQQgghhBBCCCFEq+hqOkBxkUgkiIiIgJmZGUQikabjEEIIKQDGGOLj42Fvbw+xmL6XywuVe4QQov2o3FMOlXmEEKL9ClLmlZpKzYiICDg4OGg6BiGEkCIQHh6OihUrajoG16jcI4SQkoPKvbxRmUcIISWHKmVeqanUNDMzAyDdOebm5gVaRnp6Ok6cOAEvLy/o6ekVZTytz8NTFt7y8JSFtzw8ZeEtD09ZeMoTFxcHBwcH4ZpOclfSyj2esvCWh6csvOXhKQtveXjKwlsenrJQuaecklbmKUL5Co7nbADlKwyeswGUT1UFKfNKTaWm7DEEc3PzQhV0xsbGMDc35+KA85SHpyy85eEpC295eMrCWx6esvCYhx4ty19JK/d4ysJbHp6y8JaHpyy85eEpC295eMoiQ+Ve3kpamacI5Ss4nrMBlK8weM4GUL6CUqXMo45ZCCGEEEIIIYQQQgghWoUqNQkhhBBCCCGEEEIIIVql1Dx+np/MzEykp6fnOU96ejp0dXWRkpKCzMzMYkqmHXl4ylLYPHp6etDR0VFTMkII0TzGGDIyMvK9PvJ0becpC295CpNFR0cHurq69GgrIaRE08Z7vewoX8HJsqWmpkIsFtO9HiElCFVqAkhISMCbN2/AGMtzPsYYbG1tER4ezsUf/zzl4SlLYfOIRCJUrFgRpqamakpHCCGak5aWhsjISCQlJeU7L0/Xdp6y8JansFmMjY1hZ2cHfX19NaQjhBDN0tZ7vewoX8HJsr1+/RpisZju9QgpQUp9pWZmZibevHkDY2NjWFtb53kBlkgkSEhIgKmpKcRizT+5z1MenrIUJg9jDNHR0Xjz5g2qV69O3+IRQkoUiUSCFy9eQEdHB/b29tDX19eaco+nLLzlKUyZl5aWhujoaLx48QLVq1fX+LYQQkhR0uZ7vewoX8HJspmYmODjx490r0dICVLqKzXT09PBGIO1tTWMjIzynFcikSAtLQ2GhoZcXKh5ysNTlsLmsba2xsuXL5Genk4FHSGkRElLS4NEIoGDgwOMjY3znZ+naztPWXjLU5gsRkZG0NPTw6tXr4RlEEJISaHN93rZUb6Ck2UzMjKiez1CShi+rjYaxFsTeaI5RX0upKWlcdevDCGkdOPtZoNolux8kEgk+fY5Rwgh2kgT93oZGRn5PvJOih/d9xNSspT6lpqEqFN8fDzc3Nzw6tUr/PHHHxg2bBgVpIQQQrgjkUjg4eGBZ8+eoXfv3hg0aBCaN29OFeCEEJIL2aB7qampwislJUX4f0ZGBgwMDODi4kLXUkIIURO6unIqPj4epqamGD58uFLznz17FseOHSv0el++fAkLC4tc37937x46d+6c73IOHz6MkSNHFjqPtps4cSIePnyIhIQEDB8+HN26dUNkZKSmYxFCCHeo3NOstLQ0fPjwAZ8/f8bGjRvh4eEBR0dHTJ8+HWFhYcWaJT09HZcvX8aePXuQkZFRrOsmhJCsGGNIT09HfHw8Pnz4gLdv3+LZs2cICQnB3bt3ce/ePYSFheHFixeIiIhATEwMEhMThWtXamoqEhMTcyyXyjxCCCkaVKmZBWMMiYmJan0p+wjCrl270KhRI+zfvx8JCQn5zl9UBV1+pk6diilTpuQ73zfffINbt27hyZMnas/Eq6CgIKxfvx4A4OXlBX19fRw6dAguLi7YsWMHPY5CCNE4KvfyV1rKPYlEAgBwcnLCsGHDYGZmhlevXmHhwoWoVasWvvrqK6xYsQLv3r0r8nUzxvDw4UP88ccf6NKlC8qWLYvmzZujT58+GDduXJGvjxBSOuVX5r179w5RUVF48uQJHjx4gBs3buDy5cu4evUq7t69i9DQUDx//hwRERH4+PEjEhISkJycjIyMDOjo6MDY2BhWVlZwdHRE7dq1YWlpCQCIi4vLkaUgZd7x48eLfJ9kV1rKPEJIyUGPn2eRlJQEU1NTta5DNupafjZt2oSZM2di/fr12LVrl/AtXmxsLCZMmICrV69CR0cHdevWxfjx47Fu3TpkZmbi7Nmz6NmzJwYPHgxXV1d8/vxZWK+ZmZlwczlgwAA8evQIaWlpcHBwwKZNm2Bra5tnptevX+Phw4do2bIlAMDX1xf29vaYNm0aAODJkyfo2bMnXrx4AV1dXfTp0wd//fUXlixZUtDdpbXi4uKEYzZq1Ci0b98eixcvxogRI3Dr1i0MHDgQe/bswbp16/Ld74QQoi7aVu4BQOPGjfHzzz9TuVfEZH0/u7i4YPPmzVi9ejUOHjyI7du349ixY7h16xZu3bqFX375Be3atcOgQYPQrVs3pY6tIuHh4Th16hROnjyJU6dOISoqSu59KysrxMTEYNWqVXBzc0P//v0LvY2EkNKtOMo8QFr+GBsbo0yZMvj06RPi4+NzzKPsvV6jRo0wZswYocw7ffo0evXqhSFDhhR7mffo0SN8/fXXJaLMI4SUHNRSk0MhISEIDw9H+/btMXz4cGzatEl4b+zYsdDX18f9+/dx584dzJkzB66urvjxxx8xYMAA3L17F7Nmzcp3HStWrMDNmzdx//59tGzZEnPmzMn3M+fOnUPjxo2Fn0ePHo0NGzYIN0KbNm3CiBEjoKsrrSt3c3PDqVOnVNz6kuGXX35BeHg4HB0dsWDBAgBAnTp1cOXKFcyfPx96enr4999/4eLigp07d1KrTUJIqaZMuXf37l1cvHgRixcvpnJPDWTbZG1tDUA6Knrfvn1x6NAhREREYOXKlWjatCkyMzNx7NgxDBgwADY2Nhg8eDCCgoLyHRDv06dPCAwMhI+PD5ydnVGpUiUMGzYMO3bsQFRUFIyMjNC+fXssXboUt2/fRnR0NGbMmAEAGDFiBIKDg9W7AwghpIiZmZkBABITE+Wukcre6927dw9LliwRyrz+/fvjwoULmDlzZr7rVkeZt2bNGowcObJElHmEkJKDWmpmYWxsnGfzf4lEgri4OJibmxe4s2djY+N859m0aRMGDx4MHR0ddOrUCT/88ANCQ0NRq1YtHD58GNeuXYNYLIZEIkG5cuUKlCMgIADbtm1DSkoKUlJSlFrOmzdvYGNjI/zs7OyM2rVr499//0W7du2wb98+3L9/X3jf1tYWb968KVA+bXb8+HFs3LgRALB582a5b4T19PQwffp0dOnSBUOHDsWdO3fQv39/7NmzB2vXrpXbv4QQom7aVu4BXyrdVEXlXt5kj5+XL18+x3vW1tbw9fWFr68vnjx5gu3bt2P79u14/vw5tm3bhm3btsHOzg7ffvstBg0ahNq1ayMtLQ1nzpzB2bNncfLkSdy6dUtYByAdcb1JkyZo27Ytvv76a7i5ucHAwEBuvXPmzMG1a9cQFBQEb29v3LhxA+bm5urdEYSQEqs4yjzZegDAwMAABgYGSE1NRUJCAsqUKQNAO8u89u3bY+fOnXjw4IHwvjaXeYSQkoMqNbMQiUR5PkYlkUiQmZkJExMTtY1gl56ejm3btkFPTw8BAQEApI9KbNq0Cb/99pvSy9HV1ZX7RjAlJUX4/8WLF/Hnn3/iypUrKF++PA4ePKhUKxdjY2O55QDAzz//jCVLluDdu3fw9PSUKwhTUlJgZGSkdOaSIDY2Ft9//z0AYMyYMWjVqhXS09NzzFevXj1cu3YNixcvxrx58xAYGIjz589jzZo16NOnT3HHJoSUUlTu5a00lXuyfaeoUjOr6tWrY+7cuZgzZw6uXr2Kbdu2YdeuXYiMjMSyZcuwbNkyODo64s2bN0hLS5P7bK1atYRKzFatWuU5WAUA6OjoICAgAA0bNsTjx48xbNgw7N27FyKRqFDbSggpnTRR5pmZmSE1NRVxcXEoU6aM1pZ50dHRaNeuXYkp8wghJQc9fs6ZgwcPwtHREW/fvsXLly/x8uVL4aYhPT0dXbt2xW+//Sa0dvjw4QMAwNzcHLGxscJybG1twRhDSEgIAGDr1q3Ce58+fYKZmRnKli2LtLQ0YTCb/NSrVw+PHj2Sm+bl5YWoqCgsXLgQI0aMkHsvNDQU9evXV30naLHx48fjzZs3cHJywsKFC/OcV09PDzNnzsTNmzfh6uqKjx8/om/fvujduzfev39fTIkJIUSzVC33oqOjAVC5V9Rk+1fZVkEikQhubm5Ys2YNIiMjceDAAfTq1QsGBgZ4/vw50tLSYG9vj0GDBuHvv//GmzdvEBISgpUrV6Jbt275VmjKlCtXDnv37oWenh7279+P33//vaCbSAghxU7Wulw2WJC2lnnz58+Hr6+v3HvaXOYRQkoOqtTkzKZNmzBgwAC5abVq1UKFChVw6NAhLF++HKmpqahbty4aNmwIPz8/AECPHj1w9+5duLq6Yt68edDV1cXKlSvxzTffoHHjxnKtBTt06ABnZ2c4OzujZcuWcHV1VSpbixYt8ObNG8TExAjTRCIRhg8fjvLly6NJkyZy8x87dgy9evUq4J7QPkePHsXmzZshEomwZcsWpQdPqF+/Pq5du4bZs2dDV1cXe/fuhYuLC/bs2aPmxIQUr+joaDqvSQ7Klnv169dHy5YtMX36dABU7hU1ZVtqKqKvr49u3bphz549iIqKwv79+7Fy5Uq8ePECW7duxeDBg1GhQoUCZ2vSpAn++OMPAMCUKVNw7ty5Ai+LEEKKk6xfzeTkZKSnp6t0r+fq6ioM0tOjRw/cu3cPLVu2hJ+fn0bKPDc3N7n5tbnMI4SUIKyUiI2NZQBYbGys3PTk5GQWEhLCkpOT811GZmYm+/TpE8vMzFRXTJVoIs/SpUvZ0qVL5aZ17tyZ+fv7y2WJjo5mdevWZampqcWWLavC7BtVzgmZmJgYZm9vzwCwcePGyb2XlpbGDhw4wNLS0vJdzu3bt1m9evUYAAaA9enTh0VHR6u8DXlRJY+68ZSFMb7y8JSFscLniY2NZQ0bNmQA2IYNGwqcI7drOclJ0b5S9frGU7mnqSzaUO4Vdt8kJyez48ePs8qVK7O7d+8WOo86rl8SiYQNGjSIAWA2Njbs7du3GstSGDzl4SkLY3zl4SkLlXvK4fleLzg4mN24cYN9/PixUMspjnIwtzJv69atctMUlXk8/c2QXdZsBbnXUzeerjmK8JyP52yMUT5VFaTMo5aaRCU///yzMPDNzZs34eTkBLFYjP79+8vN9+zZM6xbtw76+vqaiFnsxo0bh4iICFSvXh3z588v8HIaNGiAGzduYObMmdDR0cHu3bvh4uKC/fv3F2FaQopXcnIyunbtitu3b8Pa2hqtWrXSdCRClFYayj3GWJ4DBfFAJBJh3bp1qFevHt69e4c+ffoo7LOaEEJ4I2utGR8fr+Ek+SsNZR4hpGShgYKISvT19TFq1CgAwFdffYWnT58CgNyIpgDQtGnTYs+mKYcPH8bff/8NkUgEf39/pUb6zYu+vj7mzZuHbt26YejQoQgODoa3tzf69euHVatWoWzZskWUnBD1y8jIQL9+/XDu3DmYmZnh2LFjqFGjhqZjEaK00lDuZWRkCP9XZoRcTTE2Nsa+ffvQqFEjXLp0CZMmTcLy5cs1HYsQQvJkbm6O9+/fC/1q8iy3Mi87bS7zCCElC7XUJKQQPn36hJEjRwKQDhLk7u5eZMtu1KgRbt68ienTp0NHRwf//PMPXFxccODAgSJbByHqJJFIMHz4cBw8eBCGhoY4dOgQGjZsqOlYhJBsZP1plilTBnp6ehpOkzcnJydhQIwVK1Zg9+7dGk5ECCF5k7V8TE1NRVpamobTEEJIyUKVmoQUws8//4zIyEg4OzsLgzYVJQMDA8yfPx9Xr15F7dq18e7dO/To0QMDBw6U68SbEN4wxjBhwgRs3bpV6EqBHjsnhE+ySk0rKysNJ1FOt27dMGXKFADAd999J4z+SwghPNLV1RUGENWG1pqEEKJNqFKTkAI6ePAgtm3bBrFYDH9/fxgZGaltXV999RVu376NqVOnQiwWY8eOHXBxccHBgwfVtk5CCmPBggVYsWIFAMDf3x9dunTRbCBCSK5kfVNqS6UmAPj5+aFNmzZITEyEt7e3VvRVRwgpvbSpX01CCNEmVKlJSAF8/PgRP/zwAwDgl19+QbNmzdS+TgMDAyxcuBBXrlxBzZo1ERUVhW7dumHw4MH49OmT2tdPiLLWrl2LmTNnAgD++OMPDBw4UMOJCCF5kbXU1KY+m3V1dbFz505UqFABYWFhGD58OBhjmo5FCCEKmZubA5C21KRrFSGEFB21V2ouWrQIjRs3hpmZGcqXL4/u3bvj0aNHCudljKFjx44QiUQ5+g18/fo1OnfuDGNjY5QvXx4TJ06U69iekOI0ZswYREVFoVatWpg7d26xrrtJkya4c+cOJk2aBLFYjG3btsHFxQWHDx8u1hyEKLJz5074+PgAAGbNmoUxY8ZoOBEhJD+ySk1LS0sNJ1FN+fLlsWfPHujp6WHPnj1C63BCCOGNqakpRCIR0tPTkZqaquk4hBBSYqi9UvPcuXPw8fHB1atXERQUhPT0dHh5eSExMTHHvCtWrIBIJMoxPTMzE507d0ZaWhouX76Mv//+G/7+/pg1a5a642tElSpV4OzsDFdXV7i6uuL777/XdCSFXr58iXXr1uU5T2RkJJo1ayaMElulShXUrFlTrkL6q6++wtmzZwEAc+bMwdixY+WW4e/vj+7duwvrtLCwAABh/9SuXRs6OjrCz3379gUALF26FPXq1UP9+vVRs2ZNTJw4EQCQkpKCRo0aITY2tkDbHRgYiICAAOGxc0NDwwItpzAMDQ2xZMkSXLp0Cc7OzoiMjESXLl0wdOhQfP78udjzEAIAR48exeDBg8EYg6+vL+bMmaPpSERLULk3Vm4ZqpZ7/fr1AyB9JLtOnToql3uyx8+1qaWmjJubG5YtWwYAmDhxIi5cuKDhRIQQkpNYLBYGDKpRo0aJLfPq1auH2rVrF8u93rx58wpU5hFCShZdda/g2LFjcj/7+/ujfPnyuHXrFjw8PITpd+/exe+//46bN2/Czs5O7jMnTpxASEgITp48CRsbG7i6usLPzw+TJ0/GnDlzoK+vX7ShFVS4AgAkEiAlBfj/4wN5zgsAYjFQwH4Wd+3aBVdX1wJ9NiMjA7q6aj+0QkH3448/5jqPn58ffHx8IBZ/qT9PTU3Fpk2bhMe3C+ru3btCDldXV+FnANi9ezdOnjyJa9euwcTEBBkZGXj48CEAaYXgoEGD8Pvvv2PevHkqrfPDhw/C9k6ePBlNmjQp1DYUVrNmzXDnzh3MmjULv//+O/7++2+cPHkSGzduRMeOHTWajZQuly5dgre3NzIyMtC/f3/88ccfCr+kIpyick8pvJZ7EokE27Ztw7Fjx3Djxg0YGRmpVO5p20BB2fn4+ODKlSsICAhAnz59cPv27Rx/SxJCiEBdZV5iIvD/AYEUMTc3R3x8PCQSSaHLvCK//1VA1TJPVrFZHPd6e/fuxdGjRwtU5hFCSpZi71NT9o1J1j+ck5KS0L9/f6xevRq2trY5PnPlyhXUrVsXNjY2wrT27dsjLi5OuHhll5qairi4OLkXIG2NkP3FGINEIhFeMDVV+BKbm8Pk/62QZPOy8uVznZ917Ci3XGVfABROP3r0KBo2bIh69eqhVatWwrafOXMGLi4u+O677+Dq6op9+/bh0aNH6NSpExo3box69eph5cqVwnIuXbqEFi1aoH79+qhXrx4CAwMhkUgwYcIENG7cGK6urvDw8EBoaCgkEgkSExPRp08f1K5dG/Xr10e7du0gkUjw448/4tGjR3B1dUW3bt0AQG7fJCUlYdeuXejRo4fcts2aNQt+fn5ISEjIsb2MsRzHQzY9r/2TfdqbN29gYWEBAwMDSCQSiMVi1K1bV3i/T58+2LhxIzIzMxXua8aYwnPFx8cH79+/R+3atTFt2jSF8yh65XbuFcVLV1cXCxcuxNmzZ+Hk5IS3b9+iU6dOGDZsGD58+FDseVR98ZSFtzw8Zckrz82bN9G5c2ckJyejY8eOwu+WOnMUF2W6UPH09IRIJJJ7Zb8BKEgXKjExMRgwYADMzc1hYWGB4cOHIyEhoci3EUC+5Z6cPMo9FPGXKcePHxfKvdatWyMsLAwAcPbsWbi4uGD48OFwdXVFYGAgnjx5gs6dOwvl3qpVq4TlXLlyRa7c+/fffwFI+0TOWu7Jjm1ycjL69u0rlHteXl4AoLDcyyolJQW7du2Ct7e33PQ5c+bAz88PSUlJRbp/soqIiIClpaXw9ICuri7q168vvN+vXz9s3LhRYV9u2l6pKRKJsGHDBri4uCAqKgp9+/Yt9msFIUSLqKvMq1Ilz9XKBguS3Wtkl7XMa9WqFUJCQgB8KfO+//57tGzZUiNlXteuXXPkza3Mk93rqbPMe/PmDaysrApU5hFCShb1N2vIQiKRYOzYsWjevDnq1KkjTB83bhzc3d0V3iAAQFRUlFyFJgDh56ioKIWfWbRokcK+Dk+cOAFjY2PhZ11dXdja2iIhIQFpaWkAAIt8tiPrqHVl8pgvMyMDCf+vTFWFRCJB3759hYv05MmT0bRpUwwYMACHDh2Ci4sLdu/ejd69e+PKlStITk5GaGgoli5dimXLliEzMxNff/011q9fjxo1aiApKQnt2rWDi4sLqlatih49esDf3x/u7u6QSCSIjY1FXFwcRo0aJQzusW/fPowePRp79+7F4cOH8fHjR1y+fBkA8OnTJ8TFxeG3337D1KlThccJsu+by5cvo1KlSsjIyBAqlSUSCZycnNC8eXMsXrwYv/zyCzIzM5GUlIS4uDikpqZix44dOH36tLCcT58+oX79+oiLi0NCQgIYY8LyACic1rlzZ2zYsAHVqlWDm5sbWrRoAW9vb2GEcmNjYxgYGODatWuoXbu23P5PS0tDcnIyzp8/L1fpcPnyZezevRtisRjfffcdTp06pdJxDQoKUmn+gliwYAF27NiBQ4cOwd/fH4cOHYKvry8aNGigkTzK4ikLwFcenrIAOfNERkZi6tSpiI2NRa1atTB06FC1ZlbnH8iKyLpQady4MTIyMjBt2jR4eXkhJCQEJllaY4wYMUKuNUDWckbWhYqtrS0uX76MyMhIDB48GHp6eli4cGGu6x4wYAAiIyOFrluGDRuGkSNHIiAgQD0bq2F9+/YVrtGzZ89G8+bN0b9/f5w9exZ169bFtm3bMHToUOELvdDQUKxZswabNm1CZmYmmjZtiu3bt6NmzZpISkpCs2bN0LRpU1SrVg3du3fH3r170bJlS0gkEqGbjsmTJ+O3334DAPzzzz/4+eefcezYMRw7dgyfP38WbihjYmIAAOvWrcPYsWNx9+5dSCQSuXIHAG7cuIGqVavKHX8AqF+/Plq3bo3ly5dj+vTpObZ9x44dcmVpTEwMGjZsqNL+69mzJ7Zt2wZHR0e0bNkSnp6e+Pbbb4V9amtrCyMjIzx8+FDubzBAO0c/z87ExAT79+/HV199hQsXLmDq1KnCsSWEEB6YmJgIrfj79u0rlBWKyrwdO3agV69ecmXeqlWrsGzZMpiYmMDNza1YyzxFNFnm9evXDxs2bChQmUcIKVmKtVLTx8cHwcHBuHjxojDt4MGDOH36NO7cuVOk65o6dSrGjx8v/BwXFwcHBwd4eXkJo88B0m+YwsPDYWpqKlQiSnKpiGSMITEpCWZmZsJjlSwqCrl9/yMWi2FegMfwxGJxjkcSDh06hHr16sHNzQ0A8P3332PSpEmIiIiAkZERHB0dhceNQ0JCEBYWhpEjRwqfT0pKwqtXr5CYmIiaNWuiQ4cOwnuyfksOHz6M1atXC49FxMTEwNzcHM2aNcO0adMwdepUeHh4oFOnTjAzM4OxsTF0dHRgbm4Oxhji4+Pl9s2nT59gZ2cnt7/FYjFMTEywaNEiNGvWDD///DN0dHRgbGwMc3NzGBgYYMCAAVi+fLnwGX9/f/z7778wNzcXOtnOukxF08zMzHDp0iWEhITgypUr8Pf3x6ZNm3DlyhXhcQ17e3t8/vxZ7nOA9JwwMjKCh4eHcE5ER0djxIgRAIBJkyapNPhJeno6goKC0K5dO+jp6Sn9uYLq0aMHLl26hBEjRuDp06eYO3cuvvvuOyxduhTm5ubFnicvPGXhLQ9PWXLLExERgbFjx+Lz58+oV68eTp48KVxP1CV7JZK6KduFirGxscInDYCCdaESGhoqPEr81VdfAQBWrlyJTp064bfffoO9vX0RbiWAXFqAylrry10l37/PfTnigj8Aoqjcq1u3LurWrQtAWsnr6+uLt2/fAgAcHR3RqlUrAMCjR4/w8OFDoW9JQPolW0hICN6/fw9nZ2e0bNny/xHFQuVdUFAQVq5cKVfuAdIbstDQUPz0009o1aoVOnXqpNQ2vHnzJseXsDJ+fn5o0qSJwsf4BgwYIDfIjb+/f44BE/NjY2ODe/fu4caNG7h06RLWrFmDlStX4tq1a8I5Zmtrizdv3uS4wdP2lpoyNWrUgL+/P7y9vfH777+jWbNmuX5hTggpxdRV5r18medqRSKR0FpzzZo1+Prrr4X3FJV5Pj4+Ocq8uLg4KvMgLc8ePHiAa9euqVzmEUJKlmKr1PT19cXhw4dx/vx5VKxYUZh++vRpPHv2LMeNsLe3N1q2bImzZ8/C1tYW169fl3v/3bt3AJDrTaSBgQEMDAxyTNfT05OrIMjMzIRIJIJYLP7S/9X/C5vsJBIJIJEI8+c1b2HJ5fn/z1n/zUokEsHU1FR4TyQSwcrKSuG3av/995/C5bx+/RpjxozBjRs3UK1aNdy/fx8eHh4Qi8VwcnJCSEgITp8+jZMnT2LKlCm4e/euXCbZI+BZ942pqSlSU1NzrEssFsPR0RH9+/cXWinJtlf26Gb2bc9+jPLbNxKJBDo6OmjevDlatmyJn3/+GTY2NggJCRG+CUxJSZH7xjT7+rKeK2PHjkV0dDTq1q2LOXPmFKiSKfu5p06enp64d+8epk2bhj///BObN29GUFAQNm3aBE9Pz2LPkx+esgB85eEpC/AlT0xMDDp37oyXL1+iWrVqOH78OKytrYtl/ZqkqAsVQNrqYPv27bC1tUWXLl0wc+ZMoeVCbl2ojBo1Cg8fPlTYkvrKlSuwsLAQKjQB4Ouvv4ZYLMa1a9fQo0ePHJ9JTU2VG1E1e7crsv9n784DQK79YDLGgMxM4TN5zSvIulwVZM+UtWsRIQu+dHNiamoqvJeZmQkrKyvcvn07x3Jl5Z4kW67Xr1/D19cX165dE8o9T09PSCQSVKlSBcHBwTh9+jROnTqFSZMm4fbt23KZsucBpP14paSk5FiXRCJBpUqV8O2338LPz09ue7N2u5J1fkXdruS3b8RiMZo1a4ZmzZrB19cXdnZ2uH//vly5J+uWJStZpWaZMmWK5LHtrOdbcevSpQvGjx+PZcuWYdiwYTh//rzGsiiiyX2THU9ZAL7y8JiFFKHc+r2USID/Xw/znVeV5WYha0yhaNDcvMgGGQKk1/z87vWyk5V52e/1AGmFadZ7vUmTJuXaOjMrY2NjpKSkKHyvSpUq6N+/P+bPn5//xhWQjo4O3N3d4e7ujjFjxsDGxgbBwcFyZZ5RAfv5JoRoD7VXajLGMHr0aAQGBuLs2bOoWrWq3PtTpkzJMeJb3bp1sXz5cnTp0gWAdGTLBQsW4P379yhfvjwA6TdN5ubmOR4dLqmaNWuGBw8eIDg4GHXq1ME///yDChUqwN7eXqjglXF2doa5uTm2bNmCYcOGAQCePn0KKysruLu748mTJ7hw4YLcIwmxsbHQ09ODnZ0dGGNy/bK8efMGlpaW6Nq1Kzp06IADBw4gPDwc5ubmeY4qV69evRx9z2U1Y8YM1KpVSy2VFDdv3oSenp7Qt0pYWBjS09Ph4OAAQHoD9+zZM+Hb0Lzs3r0be/bsgY6ODvz9/RVWlvPI2NgYK1asQM+ePTFs2DA8f/4cXl5e+P7779G2bVtNxyNaLDExEZ07d8bDhw9hb2+PoKCgXL9gKkly60Klf//+qFy5Muzt7XH//n1MnjwZjx49wv79+wEUrAuVqKgoobyT0dXVhZWVVaG6XVHU5YoysnYtog6y1jFZW+K6uLjg/v37uHr1KmrXro19+/bB3t4e5ubmSEpKQmZmpjC/nZ0dTE1NsXbtWgwYMAAA8Pz5c1haWqJu3bp4/Pgxjh07JtftSkREBHR1dWFiYoLY2FisWLFC6Mrk7du3sLCwgKenJ9zd3REYGIjQ0FDo6OgIXbAo2jeOjo4ICwuTez/rto0ZMwZNmzaFnp6eXLcraWlpcp9JSUkRum5RttuVO3fuwMLCQvg768GDB0hPT4eFhQXi4uKQmZmJp0+fokqVKnKfy9rNyr1795S6kVWWprrPaN68OY4fP46HDx+iW7duWLp0KfddeWgST1kAvvLwkKW4u10h6iVrqZmUlCT0+w/kfq9XoUIFPH36VG4ZdK8nvdeztLREtWrVABTuXo8Qot3UXqnp4+ODgIAA/PvvvzAzMxNuxsqUKQMjIyPY2toqvBmuVKmS8Ie5l5cXateujUGDBmHp0qWIiorCjBkz4OPjozUVTIVlbW2NHTt2YPDgwcjIyIClpSV27dqlcHRhXV1dHD58GGPHjsXy5cuRmZmJcuXKISAgABUqVEBgYCAmTJiA+Ph4iMVi+Pn5oUuXLujXrx9cXFxQtmxZdO/eXVjegwcPMHXqVDDGkJGRgUGDBqFevXrIyMiAi4sL6tSpg6pVq2Lbtm1yOapWrQobGxs8fPgQLi4uOXKWK1cOY8aMwaxZs4p8f338+BGzZs1CfHw8jIyMoKOjg4CAAKEl2cWLF9G4ceN8H7V79+4dfvrpJwDA9OnTVe7vhQceHh64f/8+pk6dipUrV+Kvv/7Cv//+C0tLS7Rv317T8YiWSU1Nhbe3N65evQpLS0scP348x5dVJZWiLlQAyHX1UbduXdjZ2aFt27Z49uyZ8Md2cVCm2xVFXa7kRVHXIuog65oka3cg5ubm2L59O3x9fZGRkQELCwts2bIF5ubmct2fyBw+fBjjxo3D+vXrhXJv+/btqFChAvbv34+JEycK5d7cuXOFcq958+YoW7YsunXrJnRlcunSJUyfPl0o9wYPHgx3d3dkZGSgTp06aNGihVDuZd03devWha2tLcLDw4VyL+u2mZubY8yYMZg9e7Zctyv6+vpy22JoaAhdXV2lu11hjCEmJgZTpkxBbGysUO5t374djo6OAKT9wzZp0gSVK1eW2/eyVjZisRitW7dW6rzIDw/dZzRu3BhNmzZFeHg41qxZg6NHjxbLaMH54WHf8JiFtzw8ZSnubleIeslaDsq+8JJVciq619uzZw8393qOjo44ePCgXA5N3+v5+vri8+fPhbrXI4SUAEzNACh8bdmyJc/PBAYGyk17+fIl69ixIzMyMmLlypVjEyZMYOnp6UrniI2NZQBYbGys3PTk5GQWEhLCkpOT811GZmYm+/TpE8vMzFR6verEU57csuzevZv99NNP3OSR6du3Lztx4oTC92TnRFJSEuvZsycDwOrXr89SU1MLlCUtLY0dOHCApaWlFejzRenMmTOsatWqwu/hqFGjWHx8vMby8LRvGOMrD09ZGJPm2bdvH/P29mYAmImJCbty5Uqx58jtWq5uPj4+rGLFiuz58+f5zpuQkMAAsGPHjjHGGJs5cyarX7++3DzPnz9nANjt27cVLmPTpk3MwsJCblp6ejrT0dFh+/fvVyqzon2lSpnHmHaUM5rCU7mnzL7JrdyLjY1lN27cYCdPnlT6vMgPL9evixcvMl1dXQaALVu2TKNZZHjZN7xlYYyvPDxl0VS5p2206V7v6dOn7MaNG+zt27cqfY63cpAx+TKPp3zZy7ys2VT9W6g48HTNUYTnfDxnY4zyqaogZV7Be/RXvtJU4Wvo0KF5fibrt0cAULlyZRw5cgRJSUmIjo7Gb7/9Bl3dYh3niBRA7969UatWrRz9d2lSSkoKWrVqhXbt2uU539GjR7F//37o6urC39+fixYeheXp6Ylbt24JHYCvXbsWdevWxZkzZzScjPCOMYb169dj37590NPTQ2BgIJo1a6bpWGrHGIOvry8CAwNx+vRppVqlyh7ftbOzAyDtQuXBgwd4n2Wwgfy6UHFzc8Pnz59x69YtYdrp06chkUjQtGnTQmwRUTdtK/dkj58r6rNb2zVv3hyLFy8GIB3k79KlSxpORAghX/rVLAmtcLWtzCOElDwl7y9Ywh1fX1+ubpYMDQ0xatSofOfbuXMnAOkjnVlH5NV2pqamGDlyJI4fP47KlSvj5cuXaNOmDXx9fZGQy2iQpHRjjGHmzJk4ceIExGIxAgICSs0fij4+Pti+fTsCAgKELlSioqKQnJwMAHj27Bn8/Pxw69YtvHz5EgcPHsTgwYPh4eGBevXqAZDvQuXevXs4fvx4ji5Url+/jpo1awqjnNaqVQsdOnTAiBEjcP36dVy6dAm+vr7o169f0Y98ToqcNpV7skFIdHR0ijNSsRk9ejRatGiBjIwM9OnTJ0c/5IQQUtxkj5wnJiYKA7VpM20q8wghJQ81dfw/9v+RQwmRnQuyTrkVjTJcErRu3RoPHjzApEmTsG7dOqxevRpHjhzBli1b0KpVK03HI8UkPj4eERERiIiIQGRkZK7/l43SuXr1avTq1UvDqYvP2rVrAUhbOWe1ZcsWDB06FPr6+jh58iRWrFiBxMREODg4wNvbGzNmzBDm1dHRweHDhzFq1Ci4ubnBxMQEQ4YMwbx584R5kpKS8OjRI7lRbnfs2AFfX1+0bdsWYrEY3t7e+PPPP4tku3hqUUE0qyS31AQAkUgEHx8ffPjwAWFhYejXrx+CgoLoaR9CShme7vVkfSmnpaUhISEBZcqU0XSkUoWnc4EQUnil/i86PT09iEQiREdHw9raOs+BECQSCdLS0pCSksLFH/885eEpS2HyMMYQHR0NiUQijOZXvXp1dcXUODMzM6xduxbe3t4YPnw4Xrx4AU9PT4wZMwYLFy6EiYmJpiOSAoqPj8+zklL2f1llZX709PQwcOBADB8+XM3J+ZLfH74ODg44d+5cvsuRdaGSG09PzxzrsrKyQkBAgHJBlaSvrw+xWIyIiAhYW1tDX19fa8o9nrLwlqcwZV5SUhJSUlKQlpZWIrpZUcTIyAi7d++Gu7s7zp49i+nTp2PJkiWajkUIKQa83usZGxsjLS0Nnz59UnrgW57KHUV4zifLlpycjI8fP0IkEml8EDBCSNEo9ZWaOjo6qFixIt68eYOXL1/mOS9jDMnJyTAyMlLrKLDK4ikPT1kKm0ckEiExMRHJycmwt7eHqampmlLy4+uvv8aDBw8wceJEbNiwAX/++Sf+++8/bNmyBS1bttR0PEFaWhqePn2K0NBQhIaGIiwsDKGhoXj06BFSUlKgp6cHPT096OrqKvx/Xu/p6upCX18fjDF8+vQJ9evXR82aNYVRKnmRkJCQb6vKiIgIlboSMDMzg729Pezt7WFnZ6fw/9bW1jh79qz6NowUC7FYjKpVqwrnSX54urbzlIW3PIXJEhUVhTNnzsDBwQFt2rRRU0LNq1mzJjZv3ow+ffpg6dKlaNasWYl9EoMQ8gWv93oJCQn4+PEj4uLihC5t8sNTuaMIz/myZhOLxahYsWKJ7XaFkNKm1FdqAtI+BqtXry732J8i6enpOH/+PDw8PLj4ZoenPDxlKWwePT09oXWUs7OzOuJxydzcHOvXr4e3tze+//57PHv2DK1atcLPP/+MBQsWwNjYuNiyxMfHCxWWWSswnz59mmffQ5mZmUhJSSn0+vft2wdAWsHt6OgIFxcX1K5dGy4uLnBxcVFLZWdiYqJcxWR4eDguXbqEf/75B1FRUcL0+Ph4pZdpZmaWayWl7P92dnZKVdznd30k2kNfXx+VKlVCRkZGvn158XRt5ykLb3kKk2XcuHE4ceIEdu/eraZ0/OjduzfGjRuH5cuXY8iQIXBxcUGNGjU0HYsQrbZo0SLs378fYWFhMDIygru7O5YsWSL3N7Snp2eOpxp++OEHrFu3Tvj59evXGDVqFM6cOQNTU1MMGTIEixYtKpKuIni813v//j169+4NkUiEq1evKvUIOk/ljiI855Nla9WqFYyMjKhCk5AShCo1/09HRyffi5uOjg4yMjJgaGjIxYWapzw8ZSmKPI8fPwaAUnmz4+XlhQcPHmDChAnYtGkTVqxYIbTabN68eZGthzGGqKgoPHjwAOHh4Xj8+LFQgSkbLEURMzMz1KxZE7Vq1RJezs7OMDMzQ0ZGBtLT05Genl6g/8fGxuLUqVNISEhASEgIYmJi8OzZMzx79gwHDx4UMmSt7Mxa4amosjMxMVGpx8BVqaw0NTXNs1WlnZ0d7OzshI7oCclO9thVftdHnq7tPGXhLU9hsrx48QKMMVhbW6spHV+WLFmCGzdu4OLFi/D29sbVq1epqxVCCuHcuXPw8fFB48aNkZGRgWnTpsHLywshISFyv1sjRoyQ60s665flmZmZ6Ny5M2xtbXH58mVERkZi8ODB0NPTw8KFC4skJ2/3epUqVYKRkRHCwsJw+fJlpVqO81TuKMJzPlk2AwMDqtAkpIShSk1CFCjNlZoAUKZMGfz111/w9vbGiBEj8OTJE7Rs2RLjxo3D/PnzVWqlmJSUhCdPnuDRo0dyr8ePHyMuLi7Xz9nY2MhVXNaqVQs1a9ZEhQoV1PZIS3p6OqpXr45OnTpBV1cX79+/x8OHD/Hw4UOEhIQI/8+tslMsFsPR0RH29vZ4//49IiIi8tzG7ExMTISKSVtbWyQnJ6N58+ZwcHCQa1lJlZWEkKISHR0NAChfvryGkxQPPT097N69Gw0aNEBwcDB++OEHbNu2jbtHJQnRFseOHZP72d/fH+XLl8etW7fg4eEhTDc2Noatra3CZZw4cQIhISE4efIkbGxs4OrqCj8/P0yePBlz5swpsf39tm3bFmFhYTh9+jR1h0EIIQVElZqEKCAbJKg0PX6uSMeOHREcHIzx48djy5YtWLZsGQ4fPgx/f3+4ubkJ80kkEoSHhyusuHz9+nWuyxeLxbC2tkajRo1Qu3ZtucpLS0vL4tjEXIlEItjY2MDGxkaunznGWJ6VnU+fPsXTp0/llmVsbIwKFSrk+yh41srK9PR0HDlyBJ06deLu225CSMmQnp6OT58+AUCpaakJAHZ2dti9ezfatGmDHTt2wM3NDT4+PpqORUiJEBsbC0A62F1WO3bswPbt22Fra4suXbpg5syZQmvNK1euoG7durCxsRHmb9++PUaNGoWHDx+iQYMGOdaTmpqK1NRU4WfZl8iyJ3AKQva54upyx8PDA6tXr8bJkyeVWmdx51MVz/l4zgZQvsLgORtA+VRVkBxUqUlINhKJBE+ePAFQeltqZmVhYYHNmzejV69eGDFiBB4/fowWLVpgwIABSElJwaNHj/DkyZM8Ozm3srKCs7Oz8KpRowacnZ1RuXJlnDp1Sqsq7pSp7Hz37h1sbW3lWlZSKyBCCG8+fPgAQPoFU/YKiJLOw8MDS5YswS+//IJx48ahUaNGaNasmaZjEaLVJBIJxo4di+bNm6NOnTrC9P79+6Ny5cqwt7fH/fv3MXnyZDx69Aj79+8HIB2wLGuFJgDh56ioKIXrWrRoEebOnZtj+okTJwrdD3xQUFChPq+stLQ0iEQihIWFYfv27Upfh4srX0HxnI/nbADlKwyeswGUT1lJSUkqf4YqNQnJJiIiAklJSdDV1UWVKlU0HYcbnTp1QnBwMMaOHYutW7di27Ztcu/r6enByclJrvJSVoFZrlw5hcvk5RuhopC1spMQQrTB+/fvAQDlypWDWCzWcJriN378eFy5cgX79u1D7969cfv27VLVYpWon0QiKVW/Wz4+PggODsbFixflpo8cOVL4f926dWFnZ4e2bdvi2bNnqFatWoHWNXXqVIwfP174OS4uDg4ODvDy8oK5uXmBlpmeno6goCC0a9eu2L5sX758OW7fvg2xWIxOnTpxl08VPOfjORtA+QqD52wA5VOVKl23yVClJiHZyB49r1atGhe/2DyxtLTE33//jW+//RbHjx9HpUqVhMrLypUrF8kIlYQQQopHaetPMzuRSITNmzcjODgYjx49Eso2GkSCFIXk5GQ0adIE/fr1w/jx41Xqj1wb+fr64vDhwzh//jwqVqyY57xNmzYFADx9+hTVqlWDra0trl+/LjfPu3fvACDXfjgNDAxgYGCQY7oyg+DlpyiWoay2bdvi9u3bOHfuHIYMGaLUZ4ozX0HwnI/nbADlKwyeswGUT5Ucqio9Xx0SoqTSPkiQMjp06IDly5dj3Lhx6NSpE6pVq0YVmoQQomVkLTVLc+tEc3Nz7Nu3D8bGxjh16hRmzpyp6UikhFizZg2Cg4Oxfv36Et0FDWMMvr6+CAwMxOnTp1G1atV8P3P37l0A0v5tAcDNzQ0PHjwQrkmA9FFIc3Nz1K5dWy25edG2bVsAwKlTp8AY03AaQgjRPlSpSUg2spaaVKlJCCGkJJNVIJTWlpoyLi4u2LRpEwBpP30HDx7UcCKi7eLi4rBo0SIAwOzZs2FoaKjhROrj4+OD7du3IyAgAGZmZoiKikJUVJTQ1/qzZ8/g5+eHW7du4eXLlzh48CAGDx4MDw8P1KtXDwDg5eWF2rVrY9CgQbh37x6OHz+OGTNmwMfHR2FrzJKkRYsW0NPTw+vXr/H8+XNNxyGEEK1DlZqEZCNrqVnaRz4nhBBSspX2x8+z6tevH8aMGQMAGDx4MJ4+farhRESb/f777/j48SOcnZ2VfqRYW61duxaxsbHw9PSEnZ2d8Nq1axcAQF9fHydPnoSXlxdq1qyJCRMmwNvbG4cOHRKWoaOjg8OHD0NHRwdubm4YOHAgBg8ejHnz5mlqs4qNiYmJMEjZ6dOnNZyGEEK0Dz0vSkg29Pg5IYSQ0oAeP5f366+/4saNG7hy5Qq8vb1x5cqVQo+iTEqf6OhoLFu2DAAwf/78Et89T36PTDs4OODcuXP5Lqdy5co4cuRIUcXSKm3btsWFCxdw6tQpjBgxQtNxCCFEq1BLTUKySE1NxYsXLwBQS01CCCElG7XUlKevr489e/agfPnyuH//PkaNGkV93BGVLVy4EAkJCWjUqBG8vb01HYdogTZt2gCQttSUSCQaTkMIIdqFKjUJyeL58+eQSCQwMzODjY2NpuMQQgghakMtNXOqUKEC/vnnH4jFYmzduhUbNmzQdCSiRV6/fo01a9YAkFZuluQBgkjRadq0KYyNjREdHY2HDx9qOg4hhGgVqtQkJIusj57TH6KEEEJKMmqpqVjr1q2xcOFCAMCYMWNw48YNDSci2mLu3LlIS0uDp6cn2rVrp+k4REvo6+ujZcuWAKSjoBNCCFFeye7khRAVyUY+p0fPCSGElHTUUjN3kyZNwtWrV3HgwAF4e3vj9u3bKFeunKZjEY6FhYXB398fALBo0SL6cpxnSUlAUBCQkZHzPV1d4OBBxdPbtQPU1M9u27Ztcfz4cZw+fRpjx45VyzoIIaQkokpNQrKgQYIIIYSUBqmpqYiLiwNALTUVEYlE8Pf3R+PGjfHkyRP0798fR48ehY6OjqajEU7NnDkTEokEXbt2FUazJpy6exeYMAGIj5efbmgI/PknMH48kJIi/56ZGbB1K+DurpZIbdu2BQCcO3cOGRkZJX6AKUIIKSr0+DkhWVClJiGEkNJA9ui5rq4uLCwsNBuGU2XKlMG+fftgZGSEoKAgzJ07V9ORCKdu3ryJvXv3QiQSYcGCBZqOQ/LTpAng6Ajo6AAODl9eFSpI369QQX66jg5QrZr0c2pSv359WFpaIi4uDjdv3lTbegghpKShr4AIyYIePyeEEFIaZH30nB6TzV3dunWxYcMGDBo0CH5+fmjatCk6d+6s6ViEM9OmTQMADBgwAHXq1NFwGpIvXV3A1xcYNUraItPQMPd5U1IAkQjw8ZF+TpG8HmfPK0OWx9l1dHTQunVr7N+/H6dPn6bWvoQQoiS1V2ouWrQI+/fvR1hYGIyMjODu7o4lS5bIVRr98MMPOHnyJCIiImBqairMU7NmTWEeRX9w79y5E/369VP3JpBS4vPnz8JNXvXq1TWchhBCCFEfGiRIeQMHDsSVK1ewZs0aDBw4ELdu3YKjo6OmYxFOnDlzBkFBQdDT06PWvNqkUyfAxQUIDgbs7XOfLyYGqFtXOn9ucnucPS8KHmdv06YN9u/fj1OnTgkV5YQQQvKm9sfPz507Bx8fH1y9ehVBQUFIT0+Hl5cXEhMThXkaNWqELVu2IDQ0FMePHwdjDF5eXsjMzJRb1pYtWxAZGSm8unfvru74pBR58uQJAMDOzg5mZmYaTkMIIYSoDw0SpJply5ahadOm+Pz5M7y9vZGcnKzpSIQDjDFMnToVADBy5Eiq7NYmstaaIpFc/5lWISFAQgIgkSjXShPI/XH23F65PM4u61fz0qVLSMnepychhBCF1F6peezYMQwdOhQuLi6oX78+/P398fr1a9y6dUuYZ+TIkfDw8ECVKlXQsGFDzJ8/H+Hh4Xj58qXcsiwsLGBrayu8DPN6VIAQFdGj54QQQkoLaqmpGgMDA+zZswflypXD3bt34evrq+lIhAMHDx7EtWvXYGxsjBkzZmg6DlGVrLVmTIwwqc7mzdB78AC4cwd49AhgTPrv6dNy88nJpYJUoTwqSp2dnWFvb4/U1FRcvny5sFtHCCGlQrH3qRkbGwsAsLKyUvh+YmIitmzZgqpVq8LBwUHuPR8fH3z//fdwdHTEjz/+iGHDhuXaD1RqaipSU1OFn2UjfKanpyM9Pb1A2WWfK+jnixpPeXjKAhQsT2hoKADAycmpSLejJOwbdeEpC8BXHp6yAPzk0fT6CSkpqKWm6hwcHLBz5060b98emzdvhpubG77//ntNxyIakpmZienTpwMAfv75Z9ja2mo4EVFZ9r419fSQamEBpqsLUUaGtI/MyEhg0iTp/FWrAs+ff/n8hQtAxYpAlSpF8ji7SCRCmzZtsH37dpw6dQpt2rSR+9iNG9L/nz4NNG4M5HI7TQghpUqxVmpKJBKMHTsWzZs3z9GJ9po1azBp0iQkJibC2dkZQUFB0NfXF96fN28e2rRpA2NjY5w4cQI//fQTEhISMGbMGIXrWrRokcJ+bU6cOAHj/3fIXFBBQUGF+nxR4ykPT1kA1fKcO3cOAJCRkYEjR45oNEtx4CkPT1kAvvLwlAXQfJ6kpCSNrp+QkoJaahbM119/DT8/P0yfPh2+vr5o0KABGjVqpOlYRAMCAgLw8OFDWFhYYOLEiZqOQwoqa2WkuTmuzZiBTosXQ+/5c2nlZPfuwP370n4zXV2/fI4xoFs34NMnoEwZoH596b/JyV+mibM9FKnE4+xt27bF9u3bcfr0aQDA06fA5s3AgQPSjy9fLq2DNTSURvvuO8DJSQ37hRBCtESxVmr6+PggODgYFy9ezPHegAED0K5dO0RGRuK3335Dnz59cOnSJeER85kzZwrzNmjQAImJifj1119zrdScOnUqxo8fL/wcFxcHBwcHeHl5wdzcvED509PTERQUhHbt2kFPT69AyyhKPOXhKUtB88yePRsA0K1bN3TKqzPwYsiiTjzl4SkLb3l4ysJTHlmre0JI4VBLzYKbMmUKrl69ikOHDsHb2xu3bt1C2bJlNR2LFKO0tDTh78bJkyfD0tJSw4lIgWVtrSl7yi8tTTp97lyga9cv82Yd3Tw2VtpCMyFB+v/z57+89/kzYG4OZB14NClJWtlZr16egw7JWmfeuHEDJ0/G4ZdfzBEVJR0kXXa5trYGoqOllZ1HjgBr1wJuboXbDYQQoq2KrVLT19cXhw8fxvnz51GxYsUc75cpUwZlypRB9erV0axZM1haWiIwMBDffvutwuU1bdoUfn5+SE1NhYGBQY73DQwMFE7X09Mr9A15USyjKPGUh6csgPJ5GGPCQEG1a9dWyzZo674pDjxlAfjKw1MWQPN5invdixYtwv79+xEWFgYjIyO4u7tjyZIlCvveZYyhU6dOOHbsGAIDA4XB7Pz9/TFs2DCFy3/37l2uLeWqVKmCV69e5cgzZcqUwm0UIfhSqUktNVUnFouxdetWNGrUCM+fP8fAgQPx33//QZy9VRYpsTZu3IgXL17A1tY21wYWRIvIWms+fSr9+dMnoE6dnJWPWVtXWlgAt29LK0DDwqQtOe/eBU6elLb6zPr3SkYG8P9urmBsDPz0E/DVV9JXnTpAlqcTK1WqBCcnJzx9+hQjR55HcvI3sLeXNvrU0ZHOo6MjffTcwkL6dPyoUcDevdRikxBSOqn9ry/GGHx9fREYGIjTp0+jatWqSn2GMSbXJ2Z2d+/ehaWlpcKKS0JU9fbtWyQlJUFXV1epc5QQUjqcO3cOPj4+uHr1KoKCgpCeng4vLy8kJibmmHfFihUK+3nu27cvIiMj5V7t27dHq1at8q1QmjdvntznRo8eXWTbRko3evy8cCwsLLBv3z4YGhri2LFj8PPz03QkUkwSExOF4z1z5sxCd2tFOJB1oB9AuRHPZfT1pa0vBw8Gli2TVnS2bStfqZmW9uVR9OfPgY0bgR9+ABo1krboXLjwy7yZmWjXujUA4N27U7Czy/kUu4xYDNjZAVFRwJYtBdhuQggpAdTeUtPHxwcBAQH4999/YWZmhqioKADSlplGRkZ4/vw5du3aBS8vL1hbW+PNmzdYvHgxjIyMhEeADx06hHfv3qFZs2YwNDREUFAQFi5ciF9++UXd8Ukp8fjxYwCAo6MjV63iCCGadezYMbmf/f39Ub58edy6dQseHh7C9Lt37+L333/HzZs3YWdnJ/cZIyMjGBkZCT9HR0fj9OnT2LRpU77rNzMzo8EniFrQ4+eF5+rqinXr1mHo0KGYO3cumjZtig4dOmg6FlGzP/74A+/evUPVqlVpoKiSpFMnYP166f9r1crzEfE86eoCo0d/GXzI0FBa+2hjA8ybB1haAjdvfnl9/gxk/XLp9m38+fffGADgVso2RH9qhBCTr/DaoIbC1YnFgJEREBgITJig2uBBEibB7cjbaGjXEGIRtTQnhGgntVdqrl27FgDg6ekpN33Lli0YOnQoDA0NceHCBaxYsQKfPn2CjY0NPDw8cPnyZaH1gJ6eHlavXo1x48aBMQYnJycsW7YMI0aMUHd8UkrIKjVr1FD8BwMhhABAbGwsAMAqy11DUlIS+vfvj9WrVytVAbl161YYGxujV69e+c67ePFi+Pn5oVKlSujfvz/GjRsH3VxajqSmpso94SDrfzQ9Pb3Ao8bzMup91gw8ZAH4yqNqlqSkJKG1saWlZZFvgzbvG1X1798fly5dwsaNG9G/f39cu3YNVapU0VgeVfCUBeArT25ZYmJisHTpUgDSvthFIpHa8/KwP0oFXV1g5Ejp/0eMUK6VZm6yj4QuG/F86FDpcr29pfMxJm25mbVP1lu3oJuWhuYAmks+Ai8HAQASxGZ4bNoAyQ/aAZCvcC1TBnj/Hrh1C2jXTvmYhx8fxpSTU7D468Xo6tw1/w8QQgiH1F6pyRjL8317e/t8R5ru0KEDffNN1OrRo0cAoLCfPEIIAQCJRIKxY8eiefPmqFOnjjB93LhxcHd3R7du3ZRazqZNm9C/f3+51puKjBkzBg0bNoSVlRUuX76MqVOnIjIyEsuWLVM4/6JFizB37twc00+cOFHoxyM1Pep9VjxlAfjKo2wWWStNXV1dXLhwQWG3CcWZpzioM0u7du1w5swZPH36FB07dsSiRYugn6WPvOLOoyqesgB85cmeZevWrYiNjUXlypVhbm6e7z1MUUhKSlL7Osj/degAHDsm/bcwsg4+FBub++PsIhFQrZr8tJEjcTLDE9t+9kIDSThaGDijTtprmEri0TDuPC7hS61l89j/0P3DXwg2boozyU2R+uErAGZKRcyQZGDV9VUIjwvH6hur0al6J+iKi3UMYUIIKRJ05SIE1FKTEJI/Hx8fBAcH4+LFi8K0gwcP4vTp07hz545Sy7hy5QpCQ0Oxbdu2fOcdP3688P969epBX18fP/zwAxYtWqSwP+mpU6fKfSYuLg4ODg7w8vKCubm5Uvmy42XUe96y8JZH1Sy3bt0CANja2qJz584az6NOxZWlQYMGaNq0KZ49e4bjx48LTyppKo8yeMrCWx5FWSIjI4UBTJcvX45vvvmmWLLIWt2TYiDrvLIoBv2Stda8cgVwd1f+cXaxGJIaNbHPqBe2Ji5HObNWcKy0GlVSQlEv9SrqO32ptGwSdwqtPx9A688HMBoAGyACFroATZtKX716ybcCzeLIkyN4GP0Qtia2CH4fjCNPjlBrTUKIVqJKTUJAlZqEkLz5+vri8OHDOH/+PCpWrChMP336NJ49ewYLCwu5+b29vdGyZUucPXtWbvpff/0FV1dXNGrUSOUMTZs2RUZGBl6+fKmwVbmBgYHCys6iGLFe06PeZ8VTFoCvPMpmiYmJASDtT1Od2bVx3xSUk5MTAgIC0LFjR2zatAnNmzfHsGHDNJZHFTxlAfjKkzXL4sWLkZycDDc3N3Tv3l1tLZwVZSBaSNZa880b5Qcd+r+vvgIsLdsiMXE54uNPIVOki2dGdRFepibqGH1pHXy47BC816+AGjHX0CDtGuwzXksfeQ8OBjZtAtq3/1Kpefq0tP/Opk2RYWeDVddXgTGGMoZlkBifSK01CSFai65apNRLS0vDixcvANDj54QQeYwxjB49GoGBgTh79iyqVq0q9/6UKVNyDBRRt25dLF++HF26dJGbnpCQgN27d2PRokUFynL37l2IxWIarZoUGo18rh7t27fHnDlzMHv2bPz0009wdXVFgwYNNB2LFIFnz55h48aNAKRdfRRXhSbRct98I+1Ts2FDlT5mZQX06dMSy5bpIDX1GVJTX8HAoHKO+Z4Y18cjw/qISAeGDwcW+EYC168D164Bjx4BDg5fZv7jD+DgQQBAuk1Z/Fw+EWHVyuClQywelzNF8LsH1FqTEKKVqFKTlHrPnz9HZmYmTE1NaZRhQogcHx8fBAQE4N9//4WZmRmioqIAAGXKlIGRkRFsbW0VXjcqVaqUowJ0165dyMjIwMCBA3PMf/36dQwePBinTp1ChQoVcOXKFVy7dg2tW7eGmZkZrly5gnHjxmHgwIGwzOVRMkKURSOfq8+MGTNw7do1HDlyBN7e3rh16xb9zpYAs2fPRkZGBtq3b49WrVppOg7RFmKxtNllAYwaZY5165ogKekK4uJOw9o6Z8tviQSIjARsbYFhwwDY2QHduklf2bm4AK9egT14AKN3H9H5HdD5QQqAd0g0EKP6/PJfWmvu2iMdxKhmTaBGDcDUtEDbQAghxaEIOgwhRLtlffScvnknhGS1du1axMbGwtPTE3Z2dsJr165dKi9r06ZN6NmzZ45H1QHpQBCPHj0SRrk1MDDAP//8g1atWsHFxQULFizAuHHjsGHDhsJuEiFCpSa11Cx6YrEY27ZtQ5UqVfDixQsMGjQIEolE07FIITx48AABAQEAgIULF2o4DSktnJyA3r3bAADevz+Fjx+BzEzpe5mZwMePQEQEYGMDrF0rnT9PCxcCd+/iyM2d6PlTWfze3QZBjSzx1N4QTyoawcq4rNC3Jvz8gAEDgEaNADMzoFIlwMsLGDNG+lg7IYRwhFpqklKPRj4nhOSGMVZkn7l8+XKun/H09JT7XMOGDXH16lWV102IMujxc/WysrLCvn374O7ujv/++w8LFy7EjBkzNB2LFND06dPBGEPv3r3RUMXHiAkpjCFD2uLvvxdAV/c0DA0Z/n/pRnQ0YGQE9O8vbaGZb4Xm/2VIMvBH8F8IdtTH6/r22Cl7gzEYikRgjGH1jdX4prUnxOXKAWFh0pWFh0tfQUFA/frSZ91lBgyQtkh1dobIyQlm798DKSkA9QVLCCkmVKlJSj0aJIgQQkhpQo+fq1/Dhg2xevVqfP/995g1axaaNGkCLy8vTcciKrp8+TIOHToEHR0d+Pn5aToOKWXc3NxgaGiIhIRIbN4chvh4JyQnA+vWSZ9qt7JSbXmyEc+tjLJ98P9PqlkZWSH4fTAOj/FBV+c10vc+fpT2zxkWJn1lLTckEmD/fmklJqQVC20AsHHjgKpVpQMVrV79Zf5PnwALC2F9xUnCJHL/EkJKDnr8nJR6spaaVKlJCCGkNKCWmsVj+PDhGD58OBhj6N+/P16/fq3pSEQFjDHMnDkTADBs2DB6oocUO0NDQzRv3hwAcOvWKbRuLZ3eurXqFZoZkgxhxHNDXUPF69M1FFprZkgypBPLlgXc3YHvvgOWLgUmTvzyAYkECAiQPto+ZAgkTZog3dgYIokEePYM+H8/5ACkfXQ6OORc3r//SitN/9/9jroce3pM7l9CSMlBlZqk1JO11KQ/VgkhhJQG1FKz+KxatQoNGzbEx48f0atXL6Smpmo6ElHSnTt3cOHCBRgYGGD27NmajkNKqbZt2wIATp8+Xajl5NpKMxtZa80jT47kv1BdXaBHD2DqVMDfH5kXL+LIjh1If/0aOHsWmDz5y7xRUUBSkrS15pUrwJYt0ve7d5cOSNSr15d5GQO2b5eO4v75c0E2V06GJAMbbkn7JN94e+OXCltCSIlAj5+TUi02Nhbv3r0DAFSvXl3DaQghhBD1YoxRS81iZGhoiL1796JRo0a4ceMGJkyYgE6dOmk6FsmHRCLB9u3bAQA+Pj6oWLGihhOR0qpNG+lgQWfOnEGmbKQgFSnTSlMma2vNTtU7QVesYnWBSCQdjt3BQX66nR2QmAg8efLlUfawsC+PtmdtXPL+PTBo0JefbWykFZ+yV4sWKo0qf+TJEYR9CAPMgdDoUBx5cgRdnbuqtl2EEG5RpSYp1WStNO3s7GBubq7hNIQQQoh6JSYmIjk5GQC11CwuVatWxfbt2/HNN99gw4YNMDc3p4pNzu3btw/Pnz+HmZkZpk6dquk4pBRr1KgRzM3N8fnzZ9y7d69Ay7j+9jqef3qOTJaJ8LhwpT7zLOYZrr+9DncH9wKtUyEjI6BePekrK4kEyNqKPT4eaNNGWtkZEQG8eyd9nTsnfX/s2C+VmjExwKhR0kpRWaVnjRqAqSkA+QpdAIWrsCWEcIl+k0mpRoMEEUIIKU1kj54bGRnBxMREw2lKj06dOmHSpElYsmQJjh8/joULF2o6EslFRkYG5syZAwAYO3YsypUrp9lApFTT1dWFp6cnDh48iNOnT6N27doqL8PV1hXL2i9Deqby/Vbq6ejB1dZV5XUViFgsrfCUcXICTp2S/j8uDnj8WL515//7GQUg/Xn37pzLrFgRqFkTd75piIeZD2FrZAsAsDSyFB6vp9aahJQMVKlJSjWq1CSEEFKaZH30XKSBEWhLs0GDBmHJkiV49OgR0tLSoKenp+lIRAF/f388efIE5ubmGDt2rKbjEII2bdrg4MGDOHPmTIEqNY31jLW3As/cXNoqM7fHzR0cgN9/l6/0jI4G3rwB3rzBVfs3YPUYDHQNYPzuHbYtfYSDNUU4nLoYnSZ1hK5Owa7DEibB7cjbaGjXEGIRDVNCiCbRbyAp1WQjn9MgQYQQQkoDGiRIc2rXro1y5cohLS0NN2/e1HQcokBKSgrmzp0LAOjVqxfMzMw0nIiQL4MFXbx4EelqHiVc6zg4AOPHAxs2AOfPS/vj/PgRuHwZdxaMxm77GGFwJNtr11D7ZSKmHEvAhmlXkFq1kvSz584BGaoNHnT48WEMDhyMw48Pq2OrCCEqoEpNUqpRS01CCCGlCQ0SpDkikQgtWrQAAJw/f17DaYgia9aswZs3b+Dg4IAOHTpoOg4hAAAXFxeUL18eycnJwr0LyYOVFTKaNsZkhzA8K6cjDI701sMDiwc54kLdMkjRBUzCo4DlywFPT+ngRkp+2STrpzM8Lhyrb6ym0dQJ0TCq1CSlFmOMKjUJIYSUKtRSU7M8PDwASFtcEb7ExcUJfZ3OmDED+vr6Gk5EiJRIJBJGQb9//76G02iHI0+O4GH0Q6GVJgCkWljgYEsbjPN1QsslNfH9EEuEd2sNWFkBCQnSQYZk/vkH+Osv6QBFuSzb1sRW6J+TEKI5VKlJSq2IiAgkJiZCR0cHjo6Omo5DCCGEqB211NSsli1bAgAuX76MDBUfdyTq9fvvv+Pjx49wdnbGoEGDNB2HEDmyR9ALOgJ6aZJ1xHNZK83smKkJjtQ1xPe99JAR+Ra4fl0YMR0AsGQJMGIEYGcHuLtLfw4Lk1t2GcMywmjq1FqTEM2hSk1SaslaaTo6OlJn/YQQQkoFaqmpWXXq1IGJiQkSEhJw+/ZtTcch/xcdHY1ly5YBAObPnw9dXRpLlfDFy8sLYrEYYWFhuHPnjqbjcE1RK01FrIyspC0tX5wA6tX78oZEAvTqJR2ciDHgyhVgyhSgVi2kVKuMrwOuCssWlsFZa00Jk+BmxE1ImETTUQhRO6rUJKUWPXpOCCGktJFValJLTc3Q0dERRi8+d+6chtMQmYULFyIhIQGNGjWCt7e3puNolUWLFqFx48YwMzND+fLl0b17d2EgzuwYY+jYsSNEIhEOHDgg955IJMrx+ueff4phC7RDpUqV0KdPHwAQukkgOSnTSlPGUNdQcUtLsRiYPh24cUM6ivqaNUD79mB6ejB9GQGnd+nCsg11DND0aQrWXVlZ4NaaMTHA6dPS/58+Lf25sGggo5KLKqxzokpNUmrRyOeEEEJKG9nj59RSU3NcXFwAUKUmL16/fo01a9YAkFYWiUQiDSfSLufOnYOPjw+uXr2KoKAgpKenw8vLC4mJiTnmXbFiRZ77d8uWLYiMjBRe3bt3V2Ny7TN16lSIRCL8+++/1LdmLq6/vY7nn54jk2UiPC5ceL2NfwsAeBv/Vm56JsvEs5hnuP72uuIFVqgAjBoFHDuGo1e24sdBltjXxk54u1pECvavjcEOn1OI6N0B+O8/IDVVqaxPnwLTpgEtWkhXAUj/bdFCOv3p04LtAxrIqGQr6gprWeWoNleS0rMVpNSilpqEEEJKG2qpqXl16tQBAFy4cAGZmZnQ0dHRcKLSbe7cuUhLS4OnpyfatWun6Tha59ixY3I/+/v7o3z58rh165YwMBYA3L17F7///jtu3rwJOzu77IsBAFhYWMDW1latebVZrVq10Lx5c1y8eBF+fn7Ys2ePpiNxx9XWFcvaL0N6Zrr8G5kAngPL2i0Dsl1y9XT04GrrmudyMyQZWBGyGcH1DWFv9uWxdvsPqYgx04VVfAYs958C9p8CzM2BLl0Ab2+gQwfAyCjH8q5ckVZgRkUBxsaA7HtGa2sgOhrYvBk4cgRYuxZwc1NtHygayKirc1fVFkK4lL3CulP1TtAVF65K79jTY8K/3Wp3K9SyJEyC25G30dCuIcSi4ms/SZWapNSiSk1CCCGlCWOMBgriQNWqVWFmZoa4uDjcu3cPDRs21HSkUissLAz+/v4ApI9RUyvNwouNjQUAWFl9qfhJSkpC//79sXr16jwrLX18fPD999/D0dERP/74I4YNG5brMUlNTUVqlhZxcXFxAID09HSkp6cr/Ex+ZJ8r6OfVLT09HX369MHFixexd+9e3LlzR/iShAc87D896KGjY8cc09PT0xH0PAgdq3XMdSyFvHIfeXIEzz48g52xHfRF+sL0a67l0bWeNWqHfUSLm+/Q55EODKM/ATt2ADt2IOPQIbD27eWW9fw5MHYsEBsLVKkifdpdX1+6biOjdNjaSrv1fPdOOt/WrYCyY9pmSDKw/vp6GMAA1kbWiIqPwoYbG9CuSrtCVX6lpaXJ/csTHs67vBRlPtl5WNm0Mp5GP8V/Yf+hU/VOBV5ehiQDW25twTDzYfC/7Q+val6FOk+OPDmCOWfnYI7nnALnKsh+Unul5qJFi7B//36EhYXByMgI7u7uWLJkidwjvz/88ANOnjyJiIgImJqaCvPUrFlTmOf169cYNWoUzpw5A1NTUwwZMgSLFi2ijrxJgaSlpeH58+cA6PFzQgghpUNcXJxwQ0KPn2uOjo4OmjdvjmPHjuHcuXNUqalBM2fOhEQiQdeuXdGsWTNNx9F6EokEY8eORfPmzeUq28aNGwd3d3d065Z7K6B58+ahTZs2MDY2xokTJ/DTTz8hISEBY8aMUTj/okWLMHfu3BzTT5w4AWNj40JtR1BQUKE+r06VKlWCu7s7Ll++jNGjR2PixImajpQDz/uvMNmWOS7L/U1bAJ7AcYkElo8fw/7yZVjfv49zKSlgR6SDCNUMCID5y5dIcHPDrDGNkZF1tPX/GzcuZ76wMOkrP6KMDOjHxeGX2HbQT2yGZMOySKxqB4jFOHHshJJbmbeTJ08WyXLUgefzDii6fHLn4RMUepCqYebDAABDzYYWyXkyp8KcQuVKSkpS+TNqrxGU9bPSuHFjZGRkYNq0afDy8kJISAhMTEwAAI0aNcKAAQNQqVIlxMTEYM6cOfDy8sKLFy+go6ODzMxMdO7cGba2trh8+TIiIyMxePBg6OnpUUfJpEBevHiBzMxMmJiY5PoIDCGEEFKSyFppmpqawkjB43Ck+LRs2RLHjh3D+fPnMW7cOE3HKZVu3bqFvXv3QiQSYcGCBZqOUyL4+PggODgYFy9eFKYdPHgQp0+fznfE7pkzZwr/b9CgARITE/Hrr7/mWqk5depUjB8/Xvg5Li4ODg4O8PLygrm5eYHyp6enIygoCO3atcu1NZ8myfItW7YMzZo1w+XLl1GlShVh8DFN43n/FSbbkSdHMP74eFgYWsBA1yDX+VIzUvE55TOWdVkGt/+fm0KbUcagO24cRC9ewO76daRBDzct2uKsVQ9csOqCZJMyGDcuCMuXt0Namp7wmdQP8aig9x7+v0bDPOkdRNHRYNWrg3l6SueJjIRu+/ZAdDREHz/myHS2gRW+G1gGtcvXxp7ee6D76AlQvTqgQsOwDEkGvt39rbQ1X7w/AnoHFPqR56LE83kHFF0+2XloKzaHkVgf8aJ0fEj7jGUdlheoVWSGJAO9dvfC8w/PsdhxMaY8n4Jq1tWk50kBjq8sn5GuEZIzkrGs/bIC5ZK1uleF2s9GZfpZGTlypPB+lSpVMH/+fNSvXx8vX75EtWrVcOLECYSEhODkyZOwsbGBq6sr/Pz8MHnyZMyZMwf6+vrIrjQ8ksBTHp6yAPnnefjwIQCgevXqyMhQb+fJ2rZvihNPWQC+8vCUBeAnj6bXT4g2k/WnSa00Na9ly5YAgPPnz0MikUAsprE7i9u0adMAAAMGDFDLI7wxMcDNm0BSkrTPvK++ArI8kV3i+Pr64vDhwzh//jwqVqwoTD99+jSePXsGCwsLufm9vb3RsmVLnD17VuHymjZtCj8/P6SmpsLAIGdFkoGBgcLpenp6ha7YKIplqFPDhg3Ro0cPBAYGYsmSJQgICNB0JDk87z9Vs2VIMrD61mokS5JhqWOJNJb749ciHRGSJclYc3sNOtfsLF8xxBhw4ACeLd2HjF174ZwRAvfPx+D++Rgynv+EU+V6IwX9kJamB/OEaGx55AbL9PcwZCnSz3+TZUXDhwOy/n+trOSacWaKgE+muog30YXdx1Q8sTeAsaEx7ry/g/PXd6G9xzBpH5/16wMNG355ubgACupUAODoo6N48OEBYA7cj76PoJdBXPbRyet5JxuAR0dXp2D5GEPGg3uIXvALAm6E46uX6dBh0rfuVtTD5PJZzrc2bYD376XH2NBQ/uXoCCxZIiw2dJYvWt68gDbG5qj0LAjdUlLxRnQFt3T+RIv6XQAVviyR+z0xsERMWozi3wMlFGQfFXsVu6J+VrJKTEzEli1bULVqVTg4OAAArly5grp168LGxkaYr3379hg1ahQePnyIBg0a5FhOaXokgac8PGUBcs9z6NAhAICZmRmOHClck+3CZtEUnvLwlAXgKw9PWQDN5ynIIwmEECnqT5MfjRo1grGxMWJiYvDw4UPUrVtX05FKlTNnzuDEiRPQ09NTeL9QGE+fSgf5OHAA+PwZyMwEdHQACwuge3fgu+8AJ6ciXaVGMcYwevRoBAYG4uzZs6hatarc+1OmTMH3338vN61u3bpYvnw5unTpkuty7969C0tLS4UVlwSYNWsWAgMD8c8//2DWrFly3baRopN9NHVlyEZTd3dw/x979x3W5NkFcPiXsEGmijhwb3FLFbXOilSts27rqhu1jtZV98JVtbbuilr33nxWrKvubcVV9wJcICgzkHx/vCYQ2RBIgOe+rlyQ5B3nDdSSk/OcE/egTAZVqnDz2yoM9J1G/bx3+CpkF02Cd1Eu4jphRjaa+UUfjWwpGP1Ms+tHWR5kjo5YlXCEAgUgfu7Dygr+/puYfA50/WcE58Lv4WRbGACjWBWmCiXmxkaoVCoO+y7H3coKWVgYnD8v3dRMTWHGDBgzRrofEwMKBTFmJvx+8XdUKimLplKpdDagJrfI0CAelQqqVcP433/pl9jTpsbaw6Du3oWAgMSPVbWqJqkZo4zBYdVGxr0KBz4AS9H8Vv0xDlWJlcg+teoDoEED+O8/aQiWtbX0VX0rVAifvvW49eYWDhYOWIfF4GDhkKVDqrL0NzGpPisAy5YtY8yYMYSFhVGuXDl8fX01FZiBgYFaCU1Acz8wMDDRc+WGJQmGFI8hxZKaeNRJzQYNGtCiRfqb6+oilqxmSPEYUiyGFo8hxWJI8aRnSYIgCBJRqWk4TExMqFu3LkePHuXkyZMiqZmFVCoV48ePB6TVYiVTO4EjFT6faOzoKCU0Y2MhNDRjE40NlaenJ5s3b2bfvn1YW1tr3pvZ2tpiYWGBk5NTosOBihYtqkmAHjhwgFevXlGnTh3Mzc3x9fVl9uzZ/Pjjj1l6LdlJtWrVaN26Nfv372fWrFls2LBB3yHlSElOU09GctPULS2lfxMemlbgacGJrCk4kcJRDzE2iaUndwCINLKiV/kLBBk78kbmyLO3lqxfH1ecqUUmgyZN8Lm3n7NR97G3yqt5KtZIRoSRlCp1sHBgu+wFjS9uoLVRRbh6Vfv2/r2UMFU7fx4aNSK8VBH62bzmWfG8FHl2nA7h4H/3Mn8X30Tz+r2kbSMiICxMujhzc2nykQBIycNVV1YxwGYAq6+uTr5y8eVL6X8Qly/DypXSYzIZytKlUdzx459SJlyqUYAzLjYEW5tgqlAiA1TK13GJ5r174eNHiIyUfi6RkXG3eNXyPvd9eFhFTtEwO6xjjKisKklAyD3MI6KxCFeQxzEPWn8pvnoVd/uMqlgxfne5hkqlwtzYnPyvI/hQyCJLE+BZmtRMrM+KWvfu3WnWrBkBAQEsWLCATp06cebMGczNzdN1rty0JMGQ4jGkWCDpeO7fvw9AxYoVsyze7PLa6IMhxQKGFY8hxQL6j8eQXgtByG7USU1RqWkYGjZsqElqDh06VN/h6FVQEFy6JH1/7Bi4umbeUu39+/dz4cIFLC0tmThxos6O++CBlNB89QoKFdJ+X29sLF2PnZ1URDN4MOzcmTMqNpcvXw5AI3WPv0/Wrl1L7969U3UMExMTli5dysiRI1GpVJQuXZqFCxfSv39/HUebs0yePJn9+/ezefNmJk+eTJkyZfQdUo5jaWKp00qzWrWkfwdCQ+P+jXtpVurT9PM7mu1uWX0BwLt30vY1ayZ9zBhljKaa0tw48dyJubG5lGS6uoIW3Q5hXK4cdO0qPalSwePH2v/o3rwJsbHY/PeUTgCXXwC/og5jptlCmtbtLiWrDh6ETp3i9rWwkCpILS2lm5eXVKYOcO0aLFyo/bylZdz9L78EddVxaCg8fJhwGzMzKZmbDfjc9+Hu27tgA3fe3NGuXFQqpQTmwYPSLX7f4dGjoWxZAI4Ob8lg17NY2OTV+vlGmUr/k3GIiVcV+UXKv6vq3xe/5tYUsi6EqcyUsY5jmft6LtGqaPw/+FO5QEEOKWPikpFHj0JwMHz4IP1c1LcPH7gZ8h+33hzAwUL6/Qk3+xRXFlZrZllSM6k+K2q2trbY2tpSpkwZ6tSpg729PXv27KFr1644OTlx8eJFre1ffcoSJ/bJnyCk5L///gOg7Kd/LARBEAQhp1MvPxeVmoahYcOGgNRXU6VSIcsmb9J0Kf5S7chIWLRISviZm2fOUu3Y2Fh+/vlnAH744Qedvo/w9pYqND9PaMYnl0PBguDvD2vXQk6YT6RelpqRfTw8PPDw8NBVSLlGzZo1admyJYcOHWLWrFmsW7dO3yEJKXBwkP5t8/aWkpXJFTUqlVKxXbduyX/I43PfR7P0N9lzJ5VkksmkfovxDRrEkYpmbF7/E1+8MqJCYCyVlEXx//gQ0ygF12Nfxh0nMlJ734gI6aYW//nHj2HjxqSDXLUqLql54QK4uyfcRi6Xkpvz5kn/wwCsnz7FqFkz7WRp/O/d3aF+fWn/9+/h5MnEt7Wykm46KKKIn2yGz5bub9wMP/0k9b9Uk8mgdm1o1Upa4v3pGAuebSXCRIZ9SgnrVFZFpvT7kujvibOzdEvkGn/c1ALV67iEemBes3TFlRGZntRMqc9KUvuoVCrNoB83NzdmzZrF69evNdUFvr6+2NjYGMy0NyH7CA0N1SyNEUlNQRAEIbcQlZqG5YsvvsDc3JzXr19z9+5dKlSooO+QstTnS7XVufb8+eHNm8xZqr1582Zu3bqFnZ0dP/30k24OilRpunevdB1yOVjFhuCgeI2cWJ6aa/c6lMulQqY9e6RinJw8PEjIfJMnT+bQoUNs3LiRSZMmUapUKX2HJKSgb1/p37aAAOlDjsQSm0ql9LyTE/Tpk/SxUlOlqZaWJFOMKpYFz7biV8kMvzqJV/N9UB/nu++kzGtEhDQZLSxM+qq+xe/36uICCxYk3EZ9//PkaqFCcc+rh4UqldIS63gfBJqFhCA/eTLpi7e2jktq/vdfXOVoYiZPBnWv5fv3wcMjYeJTnQxt1Qo6dJC2DQ2FDRs021wJuondjas0tMpLyTsHcS1gzmk+JQsdHKSEprU1NG8uHefrr6WeJfFkOGH9mTRV9abi9yRdCdJMkOlJzZT6rDx69Iht27bh7u5O/vz5efHiBXPmzMHCwkLT69Dd3Z2KFSvy3XffMW/ePAIDA5k4cSKenp6iebSQZuoqTScnp3T3VxUEQRCE7EYMCjIsZmZm1KlThxMnTnDq1KlcldRMbKn2p9ZvGBllzlLt6OhopkyZAsDYsWOxt7dPemOVCqPISGlZptqFC+DnJ2Uwg4O1vho9DUYRehwbJ6m6ZuTz0bR9t4bbljXpWeFygsPb2krvZ69cSaJPniCk0hdffIGHhweHDx9m9uzZrFmzRt8hCSkoXVr6sGbwYKlq28IiLpcVGystOY+IkBKay5cn/2+fzgYZfSbNySojI8iTR7olp2xZ6dOc1GjWTOozqaZQaCdO88b1D/1QtCgxmzZhHB2tnTBVfx9//b6pqVQR+fk2YWHSDyD+UOnQUIg/MOdzhQvHJTUDAyFeK5nawHYA3gH/0eLrwvzT9FOysO0OjI8elZbbJzF1PjMS1rpMkuo6QZoRmZ7UTKnPirm5Of/88w+LFy8mODiYAgUK0KBBA86ePav5o9vIyIiDBw8yePBg3NzcsLKyolevXkyfPj2zwxdyILH0XBAEQciNxKAgw9OwYUNOnDjByZMnGThwoL7DSbOgIKklWHi49D6wVq3UVR5m2VLt2FhpqWFwMPtWrqTs48dEFCjA8OHDpefXrYMTJ6QLUd+CgzEOCqJVdDSKt2/j3jj/8Yd0S4QtYJM3CIykpGaosQMf5dZEyS0S3V49PCgsLB3XJAifmTJlCocPH+bPP/9k4sSJqVoZKeiXm5v0Yc3atVLV9qfPHHnzRkpydusmVWim9GGOrgcZgWElq7SYmEi3RIqSouzsULVokbpl49WqaU9+V1OppMRp/A+zypWDs2cTT5SGhWkvIzA3h2+/hfBw3r59xvOAe+SJkWOpANOCZXlcKAIHCzMpWfjyBK2bJl+5qOuEta6TpLquIs2ILFl+npxChQrh4+OT4nGKFSuWqu0EISUiqSkIQmp5eXmxe/du7t69i4WFBXXr1mXu3LmUK1cuwbYqlYoWLVpw+PBh9uzZQ9t4S1sS65W3ZcsWunTpkuS5g4KCGDZsGAcOHEAul9OhQwd+/fVX8qT0KbggJEFUahqeBg0aAHDy5Mls1Vczfi/M9++lBJ2RkVRdmVIvzM+XaidHvVTbZ1cEP3YNwl4Vr0oyfsXkzJlxSxHHjJGyBcHBUnCfdPx0W/3TT1iqK3HOnIH16xOcV/NTCAqKS2pWrw4tWkhZWwcHsLfXfH/1sT3vl+bDOlYaCrSk8FyWFJmX5HWpXy8rq+SvXxBSo06dOri7u3PkyBG8vLxYtWqVvkMSUqF0aenDmtGjpQ+HIiJgxYrUfzgEuh9kBIaVrMpSMlnCqsk8eVLf/6RoUdixgxhlDN02tcDv9TutQTxHXs/FXBWd6mSwrhPWSSVJzeXm4AgvP7wkUqndHzWpJGlmtT1Iryydfi4IhuDevXsAiSYlBEEQ4jt58iSenp64uroSExPDhAkTcHd35/bt21h99m508eLFySYk1q5dqzUIwc7OLtlzd+/enYCAAHx9fVEoFPTp04cBAwawefPmDF2TkDsplUoxKMgA1alTBxMTE/z9/Xn48CGls8E47M97YTo6xlUehoam3Avz8mUp1+joCFaxoZSIuE2pyFuUjL5N9SXXmXv3DywVHxhU9hgqmRxbW5hx7zvsK+9KOqixY+Oqd4KDpWEU8USZmREYFcVHU1N6dewY90T79lCmjFaCEnt7FNbW/HXpEs2LFYvbdsgQ6ZaI4kFgtiXeROMUktMhISlPNBaEtJg8eTJHjhxh7dq1/PzzzxSL/7srGDQHB2jcWPp3s3FjncyoSTdDS1ZlR7rqM6nrhHWSSdJY4BEsbLYQjLSfSipJmlltD9JL/OYJuY6o1BQEIbUOHz6sdX/dunU4Ojpy5coVTYUVwPXr1/nll1+4fPkyBQsWTPRYdnZ2qZ60e+fOHQ4fPsylS5eoVasWAL/99hstWrRgwYIFFCpUKME+UVFRmgF7IA1FA1AoFCgUqf+UNz71fundX5cMKRYwrHhSE0tQUBAxMTGA9LuYmXFnt9cmK30ej4mJCa6urpw9e5Zjx45laSIiPa/No0cwYoSUlCtePGGlpaWlNMPh1Stpuz///DT3ISxMGs5QvTrh4dKbdq+Xvfn67Wcf0gRA0U/f2hkFEWZsi4kJfDCyRSk3QpZXarapipeAVNnbo4yOjhsiMXw4sp49Udnbg709wUA5FxfeR0WxbtUqyhYsGHfNX30l3RJ5bWItLFDExKSYoARp1kOHDtKMCGPjlCcaq1TS9tbWcWEnxVB+dwXDVq9ePZo2bcrff//NnDlzNC3gBCEtdFnNlxsZ7NJ9kk6SKhQKfB750Lp8a0xSmVHPjLYHGSGSmkKuolKpRFJTEIR0CwkJAcAh3rqg8PBwunXrxtKlS5NNWnp6etKvXz9KlizJoEGD6NOnT5KVnefOncPOzk6T0AT46quvkMvlXLhwgXbt2iXYx8vLi2nqaY3xHDlyJG6pZTr5+vpmaH9dMqRYwLDiSS6Wl5+a7VtaWvL333/rPZ6sZkixgHY86g8ptmzZQoECBfQaS2pMmJD0c3KFgjwvX2L99Ck2z59j3fMZUc+eYfXqFTKVCp8//0RmY8OSJVDG+yPshwgHBz44O/PB2Zkoe3ui8+Qh2tqa4bWOo/y0FFCm+JoDxt8knWA8cybhY0FBAPz555+8f/+eYsWKYWNjk6Z2Vml5bWrVkm5pkZpQwsPD03ZQIdeaPHkyf//9N2vWrGHChAk4OzvrOyQhm9FlNV9ulFuW7mdG24OMEElNIVcJCAjg48ePGBkZUbJkSX2HIwhCNqJUKhkxYgT16tXDxcVF8/jIkSOpW7cubdq0SXLf6dOn06RJEywtLTly5AhDhgzh48ePccMqPhMYGJig76GxsTEODg4EBgYmus/48eMZNWqU5n5oaCjOzs64u7tjk0hT9dRQKBT4+vrSrFmzVH96m1kMKRZDiyc1sZw+fRqQEmgtWrTQezxZxZBiCQ6Gq1cVREX5YmbWjBo1TLC3l6o1d+7cyaNHj1L82QQHw7VrUu81CwupzWNyQ7w/9+gRbNwIBw9CZKSCOXN8GTeuGebmJrRqBT16fKqsTOLczZtDZKR0TsvYD1T8cJFrNg2IlUuv7ehHw2n8akWi+6vy56dZhQoEF61K8+Zg+bEWeVxX88FYugDTDwpG9vNl0aJmREebwD/SfkFB0rX+9VfarhWkv/u6du0KwKJFi2jVqlWq9kvv783FizBqlFSpam4uTTmXy6XqzJAQ6bUrUAAWLoQvvkjdMdVV94KQkgYNGtCoUSNOnDjBnDlzWLp0qb5DErIZXVbz5TZi6b7+iFdPyFXUVZolSpTA9PNGwIIgCMnw9PTEz89PkxwC2L9/P8eOHePatWvJ7jtp0iTN99WrVycsLIz58+cnmdRMDzMzM8zMzBI8bmJikuE/QHVxDF0xpFjAsOJJLpbg4GBAGhKUVfFml9cms8UfqhMZCYsWwZAhJpibm9C2LXTu3AAjIyOePXuGv79/okvQMzKYR+3zXpjq1qo2Nia8eWPC6tVw4EASvTBVKu7+9Yy6T87wpdFZqj89Q+mIfzFCyXflL3HHSipRvG9amVAjOx6ZV+K+uQs3FJVoO9GFWr0qIXN0xARwBL7+Gry9C1PIGuRK7VNFR5tISU2kZOD799JS7fTMt5ozZw4RERG4ubnRtm3bNA9iSuvvTb16sGlT3ETj58+1f1bdu6duovHnMQhCak2ePJkTJ07wxx9/MGHCBAoXLqzvkAQhVxBL9/VHJDWFXEU9JEgsPRcEIS2GDh3KwYMHOXXqFEWKFNE8fuzYMR4+fJhg6E+HDh348ssvOXHiRKLHq127NjNmzCAqKirRRKSTkxOvX7/WeiwmJoagoKBU9+UUhPjUv09iSFDWSiqRmD8/vHmjHqqTh/Lla3Hr1gVOnjxJz549kz1GWgfzgJQUHTxYqiAsVEiqHjT6tITQyEhqT2lnBwEB0nY7d8ZLvO3eDcOH0+DlSxp8dlx/02LYxbzV3N+TfwA78w8GmQyVCl68gFploNZnCcm+faWYAwKgYMHEe1AqldLzTk5SIjCtHj58yOrVqwGpPUdWTZaPP9H4yhWpnaiVlTQUKLUTjQUhvRo1asSXX37JP//8w9y5c1myZIm+QxKEXEEs3dcfkdQUchV1paaYfC4IQmqoVCqGDRvGnj17OHHiBCVKlNB6fty4cfTr10/rscqVK7No0SK++eabJI97/fp17O3tE01oAri5ufH+/XuuXLlCzU/jcY8dO4ZSqaR27doZvCohN1JPPv+8rYGQedKSSIyNbQAkTGomdgw1Y+MUkpHxeHtLSdHPj6FmHRNMlbBzVFGdocLtM5wfP5LSOz611HBwgJcvURoZc0Nendu2dfnXph7/WtXljal2FVisLO6thbpC0coq4flKl5aSsIMHg7+/tLxc/asZGwvv3klL7J2cpO3SMxR+ypQpxMTE0Lx5cxo2bJj2A2SQgwM0a5blpxVyOZlMxuTJk2nWrBmrVq1i/PjxSQ4wFARBd8TSff0RSU0hVxFDggRBSAtPT082b97Mvn37sLa21vSztLW1xcLCAicnp0QrJ4sWLapJgB44cIBXr15Rp04dzM3N8fX1Zfbs2fz444+a7S9evEjPnj35+++/KVy4MBUqVMDDw4P+/fuzYsUKFAoFQ4cOpUuXLolOPheElIhKzayXUiIRpMcLFoTHjxsC8zl58mS6j+HvLy17njXr0xNKJXz8SPDTUPy2hVDa1JpIuTRb3DL2A9/6r6DqUl82Xh9PyYg7Wsd88Hc1goLaSJWFtWvD8eO8L/0F3d0tiYwEh1T0tgwJkRKunz6XScDNTUrCqpdqf8q78+aNlOTs1i3tS7XVbt68yebN0mT12bNnp/0AgpCNNW3alLp163L27FnmzZvHokWL9B2SIAhCphFJTSFXUS8/F5WagiCkxvLlywFpOVd8a9eupXfv3qk6homJCUuXLmXkyJGoVCpKly7NwoUL6d+/v2ab8PBw7t27h0IRt2Rl06ZNDB06lKZNmyKXy+nQoYNYRiakm6jUzFpBQVL/S0vLpJORAKhUmBNFkTwuWLyXoXr4kIB//6VglSoEBcGR3R9pozpKvvcRmCmlm7kyHHNlOFaxodzIU4/j9u2Ry6G4yUt6/9Kc2HUhGH0MhQ8fQKXCHtgPbMs7hPlIg0NMlZEMfzoGnsaF8tSsLDfy1OWaRT3+impEwSufKg0tLKBRIxyQ+nd6e0vJyuSuS6mUKi27dUt+yXX8pdqXL0v7rFghTRHPyFLtn3/+GZVKRceOHalRo0b6DyQI2ZC6WtPDw4MVK1YwduxY0bpGEIQcSyQ1hVxDoVDw6NEjQFRqCoKQOiqVKsP7eHh44OHhkew+jRo1SrCfg4ODptJIEDJKVGpmrcsXYrF5+5SGee5T4vV97ljW5GYeqeGl9fPn/O+SE2axEZiqIpGj/d/+rYkTKbh/P5cvg0nQK1a+aZfkeUxVkRy3bw+Aha0pZV7cAn/tbZTGJgTF2qIwimt38dHIlr/ydaXkl5H8cbs7V8wa8N5E+t1Q98IMC0t4vszqhengAI0bS8du3BgyskLv7NmzHDhwACMjI2bMmJH+AwlCNubu7k7t2rW5cOECCxYsYMGCBfoOSRAEIVOIpKaQazx+/JjY2FisrKzE8k1BEAQhV1EnNUWlZibx94cFC+D+fbh/n68ePsI9RgGfllSvLzBGk9RUyuXYxgQlOEQsMiJQ8ez5cyoB4eEQorLhX6s6RMotiZJbECWzIEpuQaTckjAjG27kqafZP8zUng52fzPsZxsatbEFGxuwteXoSTN695Hh6Bj3h3+M3JRpZdYztpcP/8xtoZk2DmnvhWlrGze4KCQk470wM0KlUjF+/HgA+vTpI1bmCLmWTCZjypQptGjRgmXLljFmzBjx778gCDmSSGoKuUb8yedZNQFTEARBEAyBevm5wVVqhoeDry/ExKR+H2NjaV20pWXmxaWmUkllh5+Sldy/D//9J33t3BkmTZK2i42FeH3r5EAkZrw0K8Vz8zI8sqikeS7c0ZGuVW/wMdZGSlTKzQmLteDRcx+C37ejfGQkXyNd3nuT/PQsfA7jVPzFHq005pxFEwZVBcrEPV7LVVouHhqauiXdae2F+fp1XCLUzi5jvTAz6q+//uLUqVOYmZkxZcqUrA9AEAyIh4cHtWrV4vLly/zyyy/MnTtX3yEJgiDonEhqCrmGGBIkCIIg5EZKpZK3b98CBlipef261FDxw4fU72NtDX/+CXXr6iYGlUrKzN2/L5UnVq8uPe7vD2XLJr4OG+DmzbjvCxeWrqNUKShThvf5y1C/SxHCo4wSJBJVJiY8taygVR357j3kd2xA8Hu4e/cur169olatAjpJRjo4ZG4vzCtXpJfIyko6d0Z6YWaEUqlkwoQJgDTkrUiRIvoJRBAMhLpa85tvvmHp0qX89NNP5MuXT99hCYIg6JRIagq5hkhqCoIgCLlRUFAQSqUSwPDe0H7xBZQsCX5+0ojvlPj7S4nDL75I3/mio2HbNu2qywcPpMwhQJcusGWL9H2BAqBQSFnA4sWhTJm4W9myULFi3HHlcmn5+Sd2QOt2aU0kOnDgQGVu3rzJqVOn6Nixo86SkZnZC7NZs9Rtm9l27tzJtWvXsLa21ixBF4TcrmXLltSoUYOrV6+ycOFCZs+ere+QBEEQdEokNYVcQ0w+FwRBSL2zZ8+yZcsW/P39uXr1Knny5MHCwkJzs7S0TPa+hYUFpqamot2HAVD307S3t8ckIxNYPpfc0nFjY9i/P/HH4y8dNzaGoUOlJo2RkWBunvT5IiNBJgNPT5Jcjx0SorVU3OjePcopldCihfS8XC5l+D6PWSaDokUhb964x4yM4O5dqQrT1DTpuJKQnkRiaGhDbt68ycmTJ+nYsaPOkpGJ9cJUF+3GxsK7d/rthZlRMTExTPrUCmD06NGGl7wXBD1RT0Jv27Ytv/32G6NHjyZv/H/nBEEQsjmR1BRyDVGpKQiCkHo3btzg999/B2D37t3pOoZcLk8x8ZlSclR938TEBH9//5RPKiSg7qep86XnSS0dNzeHJUtg1CgpERlfYkvHW7SASpVSrtYMCoLKlaFBA3j+HJydpcdVKmjUCO7cgU/XqiYHCpSJ12DS2FiqxrSwkKot1ZWXJUsmnlAtUSKlVyFJ6UkkNmzYkN9//52TJ08meYz0Dub5vBem+qV680Y6rj57YWbUunXr+O+//8iXLx+jRo3SdziCYFBat25N1apVuXHjBosXL2bGjBn6DkkQBEFnRFJTyBU+fPhAQEAAIJKagiAIqVG9enXGjBnDnTt3cHJyIioqioiICMLDw4mIiNDcEruvUqkAqcddWFgYYUn1JEwjIyMjatSoQV1d9VLMJdSVmjofEpTU0nF1VWPhwtJyb7Wklo4nVa0ZESHdj4qSmjaGh8OlS2BvL2Xozp6VtpPJ4OXLuCxdgQKaZGVsyZLci4xEq83khg26fBWSldZEYoMGDQDw8/Pj7du35MuXT6eDeeL3wrx8WXqJV6yAWrX01wszoyIjI5k2bRoAEyZMwNraWs8RCYJhUVdrdujQgSVLljBq1Cjs7e31HZYgCIJOiKSmkCuoqzQLFCiAra2tnqMRBEEwfHXq1KFmzZr4+PjQokWLVC9bVqlUREdHp5j4jH8/Nds8e/aMR48e0b9/f65evYqZmVkmvwI5hzqpqfNKTV0tHQ8Kkpaj58snZfvUCdL796WelvGpk6RBQdqPr1kjVYGWLg02NpqHlQoFr3x80nmBupGWRKKjoyMVKlTgzp07/PPPP7Rr1y7BMXQxmMfBARo3lpa2N24M6e1K8ObNGxo2bEitWrVYv369XtpNLFu2jBcvXuDs7MzgwYOz/PyCkB20bdsWFxcX/Pz8+PXXX5k6daq+QxIEQdAJkdQUcgWx9FwQBCFryGQyzMzMMDMzw87OTmfHDQwMpHz58ty+fZvZs2drKrOElKmXn+u8UhPSvnS8YkXYvVtauq6+PX8ubWNrK2Xq1AnSPHmkKk0TE6k0sX9/ael4mTJStWZ8DRvq/tp0LLWJxIYNG3Lnzh1OnTqlSWrGP4ahDOYBWLlyJXfu3OHOnTt4eHjQrVu3LD1/aGioZvDJlClTME8usS4IuZhcLmfy5Ml06tSJxYsXM2LECJ3+P1oQBEFfkpmjKAg5h3pIkEhqCoIgZE958+ZlwIABAMyePZt///1XzxFlH5lWqQlx1ZoymVb/THlUFLKPH6VkZvwqzf79oUMHmDEDDhyIS2iWLCll+sqXj6vCLFkSKlSQqjjr1oV586Sl6zl82WTDTwladV9NQxUbG8uqVas090eMGEHQ5xW0mWzhwoW8e/eOcuXK0atXryw9tyBkNx06dKBixYqEhISwZMkSfYcjCIKgE6JSU8gV1JWaYvK5IAhC9lW3bl3atGnDvn376Nu3L+fPn8c4qSnYgkaCSs3kppYn5fOp5fGpqzWvXQMTE4xDQmjZtStypVJ6vkABqFpV2u7sWWmwUNWqUK2adKtSRarSBGlievzl7KmZeJ7DqPtqXr9+nffv3xtsNdWhQ4d4/vw5efPmxdHRkTt37vDTTz+xZs2aLDn/mzdv+OWXXwCYOXOm+LdAEFIgl8uZNGkSXbt2ZdGiRYwYMQKbeO06BEEQsqNMr9T08vLC1dUVa2trHB0dadu2raZqDiAoKIhhw4ZRrlw5LCwsKFq0KMOHDyckJETrODKZLMFt69atmR2+kEOI5eeCIAjZn0wmY8mSJdjZ2XHlyhVNQkNIXoJKTfXU8iFDUn8bPVraLzF79sCDB/D2LQQEIAsPR65UojI2lpaTq1RxSck5c6TGkmvWwLBh8OWXcQlNiEuQqiv+goLAxUV6PJcoVKgQpUuXRqVScfr0aX2Hk6Rly5YB8P3332sqNr29vbOswnT27Nl8/PiRmjVr0qFDhyw5pyBkdx07dqR8+fK8f/+e3377Td/hCIIgZFimJzVPnjyJp6cn58+fx9fXF4VCgbu7u2YSqr+/P/7+/ixYsAA/Pz/WrVvH4cOH+f777xMca+3atQQEBGhubdu2zezwhRxApVKJ5eeCIAg5RMGCBVm0aBEg9dCL/0GpkDh1paYmqameWm5kBM7OKd+MjLSnlr96BfE/fA4JgcePpYpKMzNiSpfmrzVriKlVSxraU61a6pOS8Zezh4TkuipNNUNfgv7w4UP++usvZDIZAwcOpH79+gwcOBCAgQMHEhUVlannf/bsmSapOnv2bL0MKBKE7MjIyIiJEycCUvuGDx8+6DkiQRCEjMn0pObhw4fp3bs3lSpVomrVqqxbt45nz55x5coVAFxcXNi1axfffPMNpUqVokmTJsyaNYsDBw4Q89myKDs7O5ycnDQ30Qw85wkODiZaPdlURwIDA/n48SNyuZxSpUrp9NiCIAhC1uvVqxfNmzcnKiqKfv36oVQvcxYSpa7U1Cw/T6IPZqLUy79794aNG8HdXRoItG5d3DYdOsCqVbBhA+TNi8rGhsi8eaVJ5elJSqqrNQMDc12VppqhJzVXrlwJQPPmzSlZsiQAc+bMwcnJiXv37uHl5ZWp5582bRrR0dE0atSIZoY0OUkQsoEuXbpQtmxZgoKCmDJlivh/qCAI2VqWf+ytXlbu4OCQ7DY2NjYJeuN4enrSr18/SpYsyaBBg+jTp0+Sn8xGRUVpfUocGhoKgEKhQKFQpCt29X7p3V/XDCmejMTy/v179uzZw6ZNmzh16hT169fH19cXIyMjncRz+/ZtAEqUKIFMJsvy18uQfk5gWPEYUixgWPEYUixgOPHo+/yCYZDJZKxcuRIXFxdOnz7NsmXLGDp0qL7DMkgxMTGa4S1ag4JSM7VcqYSXL8HUFPr0kSaRq928Gfe9vb00ACgmBtavl5aiAwQHpy8pqU66vniRK6s0IS6pefXqVT58+IC1tbWeI4oTGRmJt7c3AEOGDNE8bmdnx6+//krnzp3x8vKic+fOVKhQQefnv3v3Lus+JdW9vLxElaYgpJGRkRGTJ0+mR48eLFq0iIsXL+Lt7S1WtAmCkC1l6V+JSqWSESNGUK9ePVxcXBLd5u3bt8yYMUMz4VRt+vTpNGnSBEtLS44cOcKQIUP4+PEjw4cPT/Q4Xl5eTJs2LcHjR44cwTKxJvdp4Ovrm6H9dc2Q4kltLAqFgmvXrnHixAkuXbqklag4ffo0Q4cO5ZtvvtFJPH/99Rcg/bHt4+OT4WNmJBZDYkjxGFIsYFjxGFIsoP94wsPD9Xp+wXAUK1aMuXPn4unpybhx42jVqhXFixfXd1h6oVQptb7G9+7dO1QqFTKZjLx588Y9oU4cxh/Ko3VQJfz7L8TGxj1WoQJ06wZdukDp0gkDUR9z5EjpfkaWjrdqJSVba9RI+745QNGiRSlevDhPnjzh7NmzNG/eXN8haezYsYN3795RtGhRWnyWsO7YsSPr16/Hx8eHgQMHcuLECeRy3S4MmzRpEkqlktatW1OnTh2dHlsQcotu3brx8eNHfvzxR86cOUPVqlWZOXMmI0aMyFBhiZA+169f5+3bt/oOQxCypSxNanp6euLn55dk0/PQ0FBatmxJxYoVmTp1qtZzkyZN0nxfvXp1wsLCmD9/fpJJzfHjxzNq1CitYzs7O+Pu7p7uKW8KhQJfX1+aNWuGiYlJuo6hS4YUT2piUalUXLx4kU2bNmn+IFarWLEi3bt3R6lUMmnSJLZu3cq4ceMoVqxYhuNRL92qV69egj++s4Ih/ZwMLR5DisXQ4jGkWAwpHnXVvSAADBo0iG3btnHq1Cn69+/PkSNHcmXV1uEHhzVf21Rso/Wceul53rx5E75RVVdr/vuvNNAnMhIKFpSek8ulZKSJiTTQp3t3aUp5Sq9vixbwaWkyFSqkf+m4XA61aqVv3xyiYcOGPHnyhJMnTxpUUlPdy3LgwIEJfqdkMhnLli2jYsWK/PPPP3h7e9OvXz+dnfvKlSvs3LkTmUzGrFmzdHZcQcht1P1wPTw86NevH0ePHuXHH39k586drF27lvLly+s7xFxj165dfPvttxQoUIAePXroOxxByHayLKk5dOhQDh48yKlTpyhSpEiC5z98+ICHhwfW1tbs2bMnxTfNtWvXZsaMGURFRWFmZpbgeTMzs0QfNzExyfAbcl0cQ5cMKZ7EYnnw4AGbNm1i48aNPFAvSQOcnJzo1q0b3333HVWrVkUmk6FUKjly5Aj//PMPI0aM4MCBAxl6g2piYqI5Z/ny5fX6OhnSzwkMKx5DigUMKx5DigX0H48hvRaC/snlcv744w+qVKnC0aNHWbt2LX379tV3WFkqRhnDqiurGGAzgNVXV9OyfEuM5XF/3qmHBGn6aYJUfXn5Mvz1l7TE+9WruOccHMDMTEpw2tvD8uWQlsGMxsagXm3Tv3+uXDquKw0bNmT9+vUG1Vfz+vXrnD9/HhMTk0SHeoJURT1jxgxGjx7NTz/9xDfffEOBAgV0cv4JEyYA0L179yRXfQmCkHrFihXjyJEjrFmzhlGjRnH+/HmqVavGtGnTGD16dIJ2cIJu/fvvv/Tq1QuAV69ecebMGZo0aaLnqAQhe8n0QUEqlYqhQ4eyZ88ejh07RokSJRJsExoairu7O6ampuzfvz9VA4CuX7+Ovb19oolLQf/evXvHsmXLqFu3LmXKlGHq1Kk8ePAAKysrvvvuO/766y9evHjBL7/8QrVq1TSJS7lczqpVqzA1NeXQoUNs3749w7GoJ+OWK1cuw8cSBEEQDEuZMmWYPn06AKNGjcLf31/PEWUtn/s+3H17F4A7b+7gc1+7zYq6UlPTT3PVKnB0hDp1YMoUuHNHetzICPLnB5VKuh8UJFVmtmqV9qA8PLS/CunSoEEDAC5dumQwrTeWL18OQPv27ZNNVA4fPpwaNWrw/v17RqrbEWTQiRMnOHLkCCYmJom2mBIEIX1kMhn9+vXj1q1beHh4EBUVxbhx46hbty63bt3Sd3g51tu3b2nTpg1hYWGa5PGOHTv0HJUgZD+ZntT09PRk48aNbN68GWtrawIDAwkMDCQiIgKIS2iGhYWxZs0aQkNDNdvEfurjdODAAf744w/8/Px48OABy5cvZ/bs2QwbNiyzwxfSIDo6ml27dtGmTRsKFiyIp6cn586dQy6X07x5czZs2EBgYCB//vkn7u7uSfZrKV++PD///DMg/VEcHByc7pgUCgWPHj0CEM2vBUEQcqiRI0dSq1YtQkJCGDJkCCp1Yi6Hi1HG8PvF3zXXq1KpWHppKTHKGAgPh8OHKbdyJVWJl9R0cJASlra20L69tFR81SooUEBKdpqbx008T28/THUPRR33UsxtSpYsSeHChVEoFJw7d07f4RASEsLGjRsB7QFBiTE2NmbVqlXI5XK2bNnC4cOHM3RulUrF+PHjARgwYIBm4rogCLrj7OyMj48Pa9euxdbWlkuXLlGjRg1mzZolBjXqmEKhoFOnTjx58oSSJUuyZs0aQFqKHhMTo+foBCF7yfS/NpcvX05ISAiNGjWiYMGCmtu2bdsAaarjhQsXuHnzJqVLl9ba5vnz54C03HDp0qW4ublRrVo1Vq5cycKFC5kyZUpmhy+kgvrTvN69e9O1a1f279+PQqGgevXqLFy4kBcvXnD48GF69OhBnjx5UnXMsWPHUqFCBV6/fs1PP/2U7tiePHlCTEwMlpaWFEpquqsgCIKQrRkbG+Pt7Y2JiQn79u3TSZV/duBz34dbb25hb2EPKhWuQebU23aeoC9dpeTl119T/cQJWhNv+Xnz5nDmDLx9C7t2SUvF+/SRemt+mpJOUFD6ppYLOiWTyTRT0A1hCfqGDRsIDw+nUqVKfPnllyluX7NmTX744QcABg8eTFhYWLrPvX//fs6fP4+lpSUTJ05M93EEQUieTCajd+/e3Lp1i1atWhEdHc3EiROpU6cO//77r77DyzF+/PFHjh8/jpWVFfv27ePbb7/F2tqaN2/ecOLECX2HJwjZSpYsP0/s1rt3bwAaNWqU5DbqKaYeHh5cu3aNDx8+8PHjR65fv87AgQN1Pk1RSLsXL17QsGFDFi5cSHh4OM7OzowbNw4/Pz+uXr3KyJEjKageOpAGZmZmrF69GoA1a9ak+x/3//77D5CqNMXviyAIQvYUFATHjknfHzsWl3uLr3Llypoq/2HDhml6SRqqoCA4cgT27pW+JnZNyYlfpVn2jZLmffuybdYdJh8MxfHsdYiKAmdnTpcvzz/Eq9S0toa6dbUrMNVTy2UyCAnJWJWmoFOGktRUqVSapeeDBg1Kdb/z6dOnU7RoUZ48eZLuJeOxsbGa/7Z/+OEHnJyc0nUcQRBSr3Dhwuzfv58NGzZgb2/P1atXqVWrFtOmTSM6Olrf4WVr3t7eLFmyBJA+LHJxccHExAQ3NzcAtm7dqs/wBCHbEVkeId2OHTtGjRo1uHDhAnZ2dowdO5b79+/j5eVFpUqVMnz8evXqMWjQIECasBkZGZnmY9y/fx8QS88FQRCyowcPYMIEqF8fBg+WHhs8WLo/YYL0fHzjx4+ncuXKvHnzRlMhZmjiX1Pv3jBwoPQ1qWtKICwMdu/mxsIx3HpzCwcLB17kN0OuUBBpIudUxTxMbmPDsUO/w9OnLKxQgRN8NigoMepJ6IGBokrTgKiTmhcuXEjX30G6curUKW7fvq3pjZ5aefLkYenSpQAsXLiQ69evp/ncmzdv5tatW9jZ2WVo9Y6QOby8vHB1dcXa2hpHR0fatm2r6Wf/OZVKxddff41MJmPv3r1azz179oyWLVtiaWmJo6MjP/30k1iGq2cymYwePXpw69Yt2rZti0KhYOrUqXzxxRdcu3ZN3+FlS+fOnWPwpz9opk6dSrt27TTPqSvgd+3aJRLHgpAGIqkppJlKpWLevHk0a9aMN2/eULVqVc6fP4+bm5vOqyHnzJlDwYIF+e+//5g1a1aa949fqSkIgiBkH+fOwbffgre31OJRnZPLn1+67+0tPR+/1aCpqSlr1qzR9PE7cOCAfoJPwufX5OgIRYpIX5O6JkCqnty0CTp0kF6ADh0oPHc5KqUSc2NzYo3lnJ49G4/Froz6oRx/fGnF3KD9xKhiEw4KSoq6WtPZWVRpGpCyZctSoEABoqKiuHjxot7iUFdpdu/eHVtb2zTt26pVKzp27EhsbCz9+/fX9MxPjejoaE27qbFjx2Jvb5+mcwuZ7+TJk3h6enL+/Hl8fX1RKBSaeQmfW7x4caJVvrGxsbRs2ZLo6GjOnj3L+vXrWbduHZMnT86KSxBSULBgQXbv3s2WLVvImzcvN27c4IsvvmDy5Mki+ZYGL1++pH379kRHR9OuXTsmTZqk9XzFihVxcnLi/fv3+Pr66ilKQch+RFJTSJPQ0FA6dOjA2LFjUSqV9OrVi7Nnz2Zaw3ZbW1t+//13QEpw+vn5pWl/daWmmHwuCIKQfTx4IFVkvnoFhQpJ7SHVs+WMjKT7hQpJzw8erF3d6OrqyujRowFpmez79++z/gISkdg1GRtLK72NjZO4pp07oWVLKevZowfs3g0REYQVdmRvJSMKGccleD4ULUq0ifRnnYOFA36v/fC576NZhp9ipSZIk87//DN9E8+FTGEIfTUDAwPZtWsXgKbCKK1+/fVXbG1tuXz5sqZyMzVWr17N48ePcXJyYvjw4ek6t5C5Dh8+TO/evalUqRJVq1Zl3bp1PHv2jCtXrmhtd/36dX755Re8vb0THOPIkSPcvn2bjRs3Uq1aNb7++mtmzJjB0qVLRdLMQMhkMrp06cKtW7fo0KEDMTExzJgxg1q1aiX4WQsJRUZG0q5dOwIDA3FxcWH9+vUJioGMjIzo0KEDIJagC0JaiKSmkGq3bt3C1dWVPXv2YGJiwooVK1i7di2WlpaZet727dvTtm1bYmJi0vwJv1h+LghCRuhiWd2NGzfo2rUrzs7OWFhYUKFCBX799dcUz128eHFkMpnWbc6cObq6NIPm7S2tgi5YMOkB2nK59HxgIKxdq/3ctGnTKFOmDP7+/gazXDU11+QY409hp9i4azpxAnx8IDoaKlSAiROJuXyRdrOrMP0bG0ji/7/mxuaaSeiprtQEKbBatcTUcgPToEEDQH9JzTVr1hATE6MZ2JkeBQsW1Pz79fPPP2uGgSYnLCyMGTNmADBp0qRM/3tT0I2QkBAAHBwcNI+Fh4fTrVs3li5dmmhP1HPnzlG5cmUKFCigeax58+aEhoZy69atRM8TFRVFaGio1g2kqdIZueniGJl503d8Dg4ObNmyhc2bN5MvXz5u3rxJ7dq1GTt2LB8/ftR7fIb42kVHR9OvXz8uXbqEg4MDO3fuxNzcPNH42rdvD8DevXsJDQ3V+2tmCK9fdo9NxJe+eNJCrC0SUmXr1q18//33hIeHU6RIEXbu3Ent2rWz7Py///47f//9N+fPn2fFihV4enqmuE9ERAT+/v6ASGoKgpA+6mV1rq6uxMTEMGHCBNzd3TW95eJLalndlStXcHR0ZOPGjTg7O3P27FkGDBiAkZERQ4cOTfb806dPp3///pr71tbWurkwAxYUJA3PsbRMObcml4OFBezZA6NHS9WOABYWFqxZs4YGDRrwxx9/0KVLF5o2bZrpsSdF65pkKoxUMchUKuQoya94SePgPTR+v5uqYefoX/Yk7ywasGcPjFnSC9uCBaF9eympCfjc28+tt7dxsHBI9pwOFg7c9L+pqVRNVaWmYJDUlZpnz54lOjoaU1PTLDt3bGwsK1euBNJfpak2YMAANmzYwNmzZxk6dCh79+5NduDQkiVLePXqFSVKlKBfv34ZOreQNZRKJSNGjKBevXq4uLhoHh85ciR169alTZs2ie4XGBioldAENPcDAwMT3cfLyyvR4VNHjhzJcALc0Jf+GkJ8lpaW/PLLL6xevZrTp08zb948tmzZwrBhw/QdWrL08drt37+fTZs2IZfL+eGHH7h79y53795NdNuQkBDy58/PmzdvmD17tmZ4kKEwhN+9pBhybCDiS63w8PA07yOSmkKyFAoFY8aMYfHixQA0bdqULVu2ZPmbo8KFCzNnzhw8PT0ZP348bdq0oUiRIsnuo05oOjo6YmdnlwVRCoKQ0xw+fFjr/rp163B0dOTKlSua6imIW1Z3+fJlChYsqLVP3759te6XLFmSc+fOsXv37hSTmtbW1qme9BsVFUVUVJTm/udVK+kR/9PbrHLpUlwPTfWS88KRD/n2+TLqTj7J788WsqrwNP61qQfAN2a+9Hw0E3l9FUprJahUoFRST6Xiab58DHz7lv79+3PlyhWsL17EaORIzTaoVHE3pZLY6dNRde4MgOzUKYx69tTeNt4+qilToFgxFAoFsvPnMfLwSHLbtz2nERk5lvz5oULkNdb9m/SHgpWjLvBvATfevIELymo0HlNNekKhIEYZw8qLKzHDDBsTG80+pjJTra8ApiamhIZJvwNyuRxra+ss+znq4/cmKYYUC6QvnjJlypA3b17evXun6WGeVbEcOHCA58+fkzdvXs2gkIxYunQpX3zxBfv372fHjh1aQzLixxMcHMy8efMAmDJlCjKZLEt/hob0e2MIMaSWp6cnfn5+nD59WvPY/v37OXbsmM4Hy4wfP55Ro0Zp7oeGhuLs7Iy7uzs2NjbJ7Jk0hUKBr68vzZo1w8TERFeh6owhxte1a1f27NnDsGHDeP78OePGjWP48OFMmzYNCwsLfYenoa/X7ujRo6xbtw6A+fPnJ5n0VcfXvHlzvvvuOxYuXMiDBw801er6Zoi/e2qGHBuI+NJK/f4lLURSU0hSQEAAnTp10vxhMn78eGbMmIGR+l1mFhs0aBAbN27k3LlzeHp6pvgJv6jSFARB19KzrC6p48Q/RlLmzJnDjBkzKFq0KN26dWPkyJEYJzHAJSdVrSxaBKhU5P/3X0ocPIjT9cvIVCp4AfmBvoP+IqCO9LMocvIkNRedgzsJj1MUKG5tzeHHj+nZsycTXVyofSeRDT/xO3uWp5+qYfNfu0bdT/8fScy9GzegWDF8fX1xuHOHL5P5ZDlWcZdFi3wAsHn0COLeh6OUy3lXqRL+bm4E1qlDMQcHJiBtGxEhrT6Pb4DNAEji/frI/CO17j8Oe8xIRmJjY5MgQZ8VDOVTfzCsWCDt8ZQpU4Z3796xevVqgoODsywW9ZDGL7/8kmPHjunkfG3btmXHjh0MHjyYmJiYBFXvvr6+bNiwgffv31OsWDFsbGzw+fw/hCxiCL836ala0YehQ4dy8OBBTp06pVV4cOzYMR4+fJigwKBDhw58+eWXnDhxAicnpwSDsF69egWQ5P9XzczMMDMzS/C4iYlJht+Y6+IYmcnQ4uvUqRNNmzZl2LBhbNmyhcWLF/O///0Pb29v6tatq+/wtGTla/fw4UO6d++umUMxcuTIZN+7quPr1q0bCxcuxMfHh6ioKPLkyZMl8aaGof3uxWfIsYGILy1xpJVIagqJ+ueff+jUqROBgYHY2Njw559/JrlkJKvI5XJWr15N9erV2b9/P7t379Y0U07My5cvATEkSBAE3UjvsrrPnT17lm3btnHo0KFktxs+fDg1atTAwcGBs2fPMn78eAICAli4cGGi2+eUqpVjx2Bev/9Y/a4jJSPiEpAX7Jth2qM8B47W5MqRBrw5Kb1pzhtemcKObgwcLKdyFZm0Jl0W9/Xb4GBW9OzJoUOHGN+vHzFHjiTYRv19peLFqaReAlm/PooWLZLctpS9PY+uXJFemyZNULRvn+S2L6/kYeTIPOTPD6byGCxdu6NEjgoZCrkZCrkZ3ES6AbGx8OYNrFgBjRvHvTYRigiOPzlOTGyM9oumBOMnxsQUj9Hqlh70KgiAQoUK0aJFC13/qJJkSJ/6G1IsGYnn4cOHnD9/njdv3ujsZ5lSLA8fPtRU13l5eVGqVCmdnLdx48Zcu3aNBw8ecPr0aU2PYXU8Li4umiTmokWLaKWHwVWG9HuTnqqVrKRSqRg2bBh79uzhxIkTlChRQuv5cePGJWgfULlyZRYtWsQ333wDgJubG7NmzeL169ea/r++vr7Y2NhQsWLFrLkQIUPy5s3L+vXrKVGiBGvXruXevXvUr1+fESNGMHPmzFzXE/fDhw+0adOG4OBgvvjiC1asWJFiQlOtRo0alC5dmgcPHnDgwAG6du2aydEKQvYmkpqCFpVKxa+//sqPP/5IbGwsLi4u7N69mzJlyug7NAAqVarE2LFjmTlzJsOGDaNp06ZJLi0XlZqCIOiSLpbV+fn50aZNG6ZMmYK7u3uy28ZPUFapUgVTU1MGDhyIl5dXotUp2b5qJSoKzMxwdYV3VqWw8X9LuNyKA3n7sN1xKAE2JRnb1IfDl1sQHW0Cnwbi+oWU5GHeksweDsaJFL82BXofO8a6devoO3Ys169fx9zcPOV48uaVbkn5tCTUxMQEE0tLSKbfaQ0rMDeXEpUODiZEEG9JnjLh9u/eSb1Ca9WC+C+7iYkJbSomTJ4rFAp8nvjQumJrrZ9T1E2pHYGTk5NeEjOG8qk/GFYskPZ4mjRpAsCZM2eQyWRJVmzrMhZvb29UKhUeHh6UL19ep+dbsWIFX331FStWrKBnz57UqVNH8/z8+fOJiIjAzc2Ntm3bpjoRkBkM4fdG3+dPiaenJ5s3b2bfvn1YW1tremDa2tpiYWGBk5NTotWWRYsW1SRA3d3dqVixIt999x3z5s0jMDCQiRMn4unpmej/1wTD9cUXX/DDDz8wZswY1q9fz6JFizhw4ADe3t58+eWX+g4vSyiVSnr27MmtW7coWLAge/bsSd3fHZ/IZDI6d+7MrFmz2Lp1q0hqCkIKxHhLQePjx4907dqVkSNHEhsbS7du3Th//rzBJDTVfv75Z8qWLUtAQADjxo1LcjuR1BQEQVfUy+qOHz+e5LI6Y2NjTaKhQ4cONGrUSOsYt2/fpmnTpgwYMICJEyemOYbatWsTExPDkydPMnIphkWlgpMnoUMHqF4dlEocHKBFe3N62+7Fw+Ul84v+xlPzxCvulUppiXa7dnFDghKzcOFCnJycuHfvHtOnT8+ki0magwO0bQvh4VLMyUntNaWGevK5GBKU/VWuXBk7Ozs+fvyo896EiYmMjMTb2xvI+ICgxDRt2pRevXqhUqno37+/pm9kQEAAa9asAaTqUH0mNIXUWb58OSEhITRq1IiCBQtqbtu2bUv1MYyMjDh48CBGRka4ubnRo0cPevbsqZd/r4WMs7e3Z926dRw8eJDChQvz4MEDGjZsyA8//EBYWJi+w8t006dPZ+/evZiamrJ7924KFSqU5mN06dIFkHq7qwf+CYKQOJHUFAC4d+8etWvXZtu2bRgbG7NkyRI2btyYoM+RITA3N2fVqlUArFy5UqtqSk2lUonl54IgZJhKpWLo0KHs2bOHY8eOJbqs7t9//+X69euaG0hLJteuXavZ7tatWzRu3JhevXppetSl1fXr15HL5ZqledlaRAR4e0uJzEaNYPduuHMHPvVU69sXXhSty/3XtkkmAZVKCAgAJyfo0yf509nb27N8+XIA5s2bx9WrV3V4ManTt68Ua0BA0onNtFxTaqiTmjnidyaXMzIyon79+gCcPHky08+3Y8cO3r17h7OzMy1btsyUcyxYsIC8efPi5+fHL7/8AsDWrVuJiYmhefPmmqnvgmFTqVSJ3nr37p3sPm3bttV6rFixYvj4+BAeHs6bN29YsGCBTiuShazXsmVL/Pz86Nu3LyqViiVLllClShVOnDih79Ayze7duzX9zVesWKFVhZ4WLi4uVKxYkejoaPbu3avDCAUh5xFJTYHdu3fj6urK7du3KViwICdOnGDYsGEG/el4w4YN+f777wHo37+/1sRfkJqLR0REIJfLKVmypD5CFAQhB/D09GTjxo1s3rxZs6wuMDCQiIgIQFrW6+LionUD7WV1fn5+NG7cGHd3d0aNGqU5xps3bzTnuXjxIuXLl9d8GHPu3DkWL17MjRs3ePToEZs2bWLkyJH06NEDe3v7LH4VdCggACZMAGdn+P57uHEDLC1h0CC4dQs+/fFfujQsXw4FCoC/v7QcOzZWOkRsrHTf3196fvlyafuUtG3blk6dOhEbG0vfvn2zfKJwYtcUEyMVq8bEpO+aUqL+HROVmjmDOsmXFUlN9YcAAwcOzLQBkfny5dP0CJ42bRr79u3j1KlTAMyePTtTzikIQtays7NjzZo1HD58GGdnZx49ekTjxo3x9PTk48eP+g5Pp27evEnPnj0B+OGHH+iTwU8n1dWaW7duzXBsgpCTiaRmLhYTE8PYsWPp0KEDHz58oEGDBly9epV69erpO7RUmT9/PgUKFODu3bvMmTNH67n79+8DULx4cdGLRxCEdNPFsrqdO3fy5s0bNm7cqHUMV1dXzTbh4eHcu3dPk2gzMzNj69atNGzYkEqVKjFr1ixGjhypqVLPtv77D7y8pAxesWIwfz68eCFl8T4bBuHmBjt3SrlPCwupHyVIXy0spMd37pS2S63ffvuNvHnzcuPGDebOnavDC0udz6/p9Wvp8l+/Tv81JUdUauYs6qTmP//8Q6w6y58Jrl+/zrlz5zA2NtZ8gJxZvvvuO5o2bUpkZCSdOnVCpVLRoUMHatSokannFQQhazVv3hw/Pz8GDBgAwLJly3BxceHvv//Wc2S68e7dO9q0aUNYWBhNmjRhwYIFGT5m586dATh69Chv377N8PEEIacSSc1c6vXr17i7uzNv3jwARo8ezdGjRxNt5G2o7O3tNRMzZ8+ezZ07cVNy//vvP0D00xQEIWN0saxu6tSpiR4jfm/MRo0aoVKpKF68OCBNvjx//jzv378nIiKC27dvM378+Oz1IU1kJKxfD0uWxD3WoAEMGAB79sDDh/Djj5BM5Wnp0jBrFpw+LU0CB+nr6dPS42mtZnR0dNT8f2PGjBncvn07rVeVYfGvaf16WLlS+prea0qOulJTJDVzhurVq2NtbU1ISAj//vtvpp1HXaXZoUOHTP+7UCaTsWLFCszNzVGpVMjlcqZOnZqp5xQEQT9sbGxYuXIlR48epVixYjx9+pSvvvqKgQMHEhoaqu/w0i0mJoZOnTrx+PFjSpQowfbt23XSOqFs2bJUr16d2NhYdu3apYNIBSFnEknNXOj8+fPUqFGD48ePY2Vlxfbt21mwYIHBT1dMTKdOnWjZsiXR0dEMGDAA5adGZepKTUMbciQIgpDj+fvD5MlQtCj07g2TJsGHD9JzMpmUxWvbFtKwpNXBARo3lr5v3DhjA3S6deum+f9G3759M7XiLTkODtCsmfRSNGuW8aFAiRGDgnIWY2NjzWoa9TJtXQsNDWXTpk1A5gwISkzp0qU1A2GaN28ueqELQg7XtGlTbt68yZAhQwBYtWoVLi4u/PXXX3qOLH1+/PFHjh07hpWVFfv27SNv3rw6O7Z6CXpaVggJQm4jkpq5iEqlYtmyZTRo0ICXL19Svnx5Ll26RMeOHfUdWrrJZDKWLVuGlZUVp0+fZvXq1UBcpaZIagqCIKRPUBAcOyZ9f+yYdD9ZFy5At27SsvIZM6R14kWKwPjxmR5rWqgrw2xsbLhw4QJL4leS5jCiUjPnyey+mhs2bCAsLIyKFSvSoEGDTDlHYn788UeuXr1Kv379suycgiDoj7W1NUuXLuX48eOULFmS58+f4+Hhwffff5+tpn2vXbtWswLkzz//pHLlyjo9fqdOnQA4ceIEAQEBOj22IOQUIqmZS4SHh9OrVy88PT1RKBR8++23XLx4kQoVKug7tAwrWrSoZprwmDFj8Pf3F8vPBUEQ0unBA2mWT/36oC7UGjxYuj9hgvR8AosXS0N+tmyRpt7Urw/bt8PjxzBuHFhbZ+UlpKhIkSKaflc///wzDx8+1HNEuhcZGalZzicqNXMOdVLz1KlTmtUpuqL+8BukKs2sHBgpk8lwcXHJtKFEgiAYpkaNGvHvv/8yfPhwALy9vXFxccHHx0fPkaXs/PnzDBo0CIDJkyfTvn17nZ+jePHi1KlTB5VKxY4dO3R+fEHICURSMxd4+PAhbm5ubNiwASMjIxYsWMD27duxNrA3mRkxdOhQXF1dCQ0NxdPTk0ePHgGiUlMQBCEtzp2Db78Fb2+pJaY6F5Y/v3Tf21t6/vKhV1JPTLW2baVJN716wZUr8M8/0LEj6KCnVGbp168fTZo0ISIigv79++s8QaRv6ipNY2Nj7Ozs9BuMoDM1a9bEwsKCd+/ecf36dZ0e+59//uH27dtYWlry3Xff6fTYgiAISbGysuLXX3/l1KlTlC5dmpcvX9KyZUt69+5NcHCwvsNLlL+/P+3btyc6Opo2bdowZcqUTDuXWIIuCMkTSc0c7sCBA9SsWZN///0XR0dHjh49yujRo7P00/esYGRkxOrVqzEyMmLv3r3ExMRgampK4cKF9R2aIAhCtvDggVSR+eoVFCok9XhUF00ZGUn3m9pdYcK9XlT5pigfB46K27l4cWnHdesgm0wtlslkrF69GktLS44fP65pX5JTqJOa+fPnz3H/z8/NTE1NNdWajRs35tdffyUmJkYnx1ZXaXbv3h1bW1udHFMQBCG1vvzyS27cuMGoUaOQyWSsX7+eSpUqsX//fn2HpsXPz48WLVoQEBBApUqV2LBhA3J55qVVOnbsiEwm4+zZszx79izTziMI2ZVIauZQsbGxTJo0idatWxMSEoKbmxtXr16lUaNG+g4t01StWpUff/xRc79QoUKZ+j8YQRCSEB4O+/bBrl2pv+3bJ+0n6I23NwQGQsGCEP+fTllMDE3e7uCPu/XZdK8WnSL/xFQVzbu7byA6Om7DbFj9X7JkSU37kp9++onnz5/rOSLdUQ8JEv00c57ffvuNWrVqERoayogRI6hZsyanT5/O0DFfvXrF7t27ATTDOwRBELKapaUlv/zyC6dPn6ZcuXIEBATQpk0bevTowbt37/QaW2RkJBMnTqR69ercuHGDvHnzsnfv3kxf/VioUCFNj+Pt27dn6rkEITsSGZ8c6N27d7Ro0YKZM2cCMGzYME6cOJErqhanTJlCqVKlAOl/AIIg6MH16zB6NAwZkvrb6NHSfoJeBAXB3r1gaamd0Gz5ej3NBg5k5v3uVAs7g0Jmgo9Dd9oVPM/XNmcJ+miqt5h1ZdiwYbi5ufHhwwcGDRqESqXSd0g6Eb9SU8hZSpcuzfnz51m5ciUODg78+++/fPnll/Tq1YtXr16l65hr1qxBoVBQp04dqlWrptuABUEQ0qhu3bpcu3aNMWPGIJfL2bRpE5UqVdJ8+JLVjh8/TpUqVZg1axYxMTG0bt2aa9euUbp06Sw5v3oJ+tatW7PkfIKQnYikZg5z+fJlatasyZEjR7CwsGDjxo0sWbIEU9Ps/8YzNdTX/MUXX9C8eXN9hyMI2U9SVZbqpT/796dcZfnFF1CypLRm2dk55ZuREZQqJe0n6MXly/D+PdjYaD9upozA4t07gkwcWVVwMq0qP2VyiY08dqzN+/dS+8zszsjIiDVr1mBqaoqPjw+bNm3Sd0g6ISo1czYjIyMGDBjAvXv36N+/PzKZjD///JOyZcvy22+/pWlJemxsLCtXrgSkAUGCIAiGwMLCgrlz53L27FkqVqzIq1ev6NChA126dNF8cJfZ3r17R58+fWjSpAn379+nYMGC7Nq1i7179+Ls7JwlMQB06NABIyMjrly5woNEJzYKQu6V6UlNLy8vXF1dsba2xtHRkbZt23Lv3j3N80FBQQwbNoxy5cphYWFB0aJFGT58OCEhIVrHefbsGS1btsTS0hJHR0d++uknnfUQyin++OMP6tWrx9OnTzWf4nfv3l3fYWW5OnXqcPr0aapWrarvUIScLKcusU6qynLUp/6Jo0alXGVpbAxDh4JMJk2XSU5kpLSdp6dBD5XJ6cLDITY2roem2v/y9+DKDz/QrsZDVhWaxjuTgoC0XWwshIXpIdhMUKFCBU2T/x9++CHd1W6GRP2GTyQ1c7Z8+fKxatUqzp07R82aNQkNDWX48OHUqlWLM2fOpOoY//vf/3j27BkODg506tQpkyMWBEFIm9q1a3P16lUmTJiAkZER27Zto1KlSpk6DVylUrFp0ybKly/PunXrkMlkDBkyhDt37tC+ffss71WdP39+mjZtCoiBQYLwuUx/B3ny5Ek8PT1xdXUlJiaGCRMm4O7uzu3bt7GyssLf3x9/f38WLFhAxYoVefr0KYMGDcLf35+dO3cC0ifILVu2xMnJibNnzxIQEEDPnj0xMTFh9uzZmX0JBi8yMpLBgwezZs0aAFq3bs369evFtFNByEzq5N+HD6nfx9oa/vwT6tbNtLAyTF1l6ecnTYtRU1d7Fy6s3UfR3z/xKssWLaBSpYTH+VxQEFSuLG0v6I2lZVyiMn5uOcIoDy8aN0Zx0Uxre3UC1MoqiwPNRD/99BM7duzg+vXrDBs2LNv3rVJXaorl57lD7dq1uXDhAqtXr2bChAncuHGD+vXr07t3b+bOnZtscnvVqlUA9O3bF3Nz86wKWRAEIdXMzMyYNWsW7du3p3fv3vj5+dGpUyc6dOjA0qVLKVCggM7O9ejRIwYPHsyRI0cAqFSpEqtWraKunv9+79KlC0eOHGHr1q38/PPPeo1FEAxJpic1Dx8+rHV/3bp1ODo6cuXKFRo0aICLiwu7du3SPF+qVClmzZpFjx49iImJwdjYmCNHjnD79m2OHj1KgQIFqFatGjNmzGDs2LFMnTo10aXVUVFRREVFae6HhoYCoFAoUCgU6boW9X7p3V/XFAoFr169omHDhly7dg25XM60adP46aefkMvlWRqnIb428b/qkyHFAoYVj95iiYiA48fhs2pvBYCxMYrEpiwaG0PjxmBhId2vXh3KlYM7d8DJKeVzBgZC+fLSfqm4Xr3+nDw9pYpMlQrMpGSW4tO/s4r4/95GRUmvx5Ah0rafx5rIcbSktH8iDOH3NieqVQvs7CA0VJpynpKQEGn7mjUzO7KsY2Jigre3N66uruzYsYPdu3fTvn17fYeVbmL5ee5jZGTEoEGD+Pbbbxk3bhxr1qxh3bp17Nmzh1mzZjFo0CCMPivHDgwM5K+//gJg0KBB+ghbEAQh1WrWrMmVK1eYOXMmXl5e7Nq1ixMnTvDbb7/RpUuXDFVQKhQKFi1axNSpU4mIiMDMzIxJkybx008/GUQrt7Zt2zJw4ED8/Py4desWlSpV0ndIgmAQsnytn3pZuUMy75pCQkKwsbHB+FO5yLlz56hcubLWJzDNmzdn8ODB3Lp1i+rVqyc4hpeXF9OmTUvw+JEjR7C0tMzQNfj6+mZof125du0aCxcu5MOHD1hbWzN69GgqV66cIJGclQzltVEzpHgMKRYwrHj0FksSy519k1oGffy49v0BA9J+zk+f+qaW3l6bhQsTfdh35MjEt/fx0borj4rC7P17zAcNwiw4WPo+OJinX31FZL58Ke6flHBDX76fTTk4QNu20gR0OzvtYUGfUyqlzwW6dUtdAjQ7qV69OmPHjmX27NkMGTKERo0aJfv3iiETg4If2huQAAEAAElEQVRyr3z58vHHH3/Qr18/hgwZwrVr1xg6dChr1qxh6dKluLm5abb966+/UKlUNG/eXDNoURAEwZCZmpoyffp02rVrR58+fbhx4wbdunVj+/btLF++HKfUFBt85tKlS/Tv358bN24A0LhxY1asWEHZsmV1HX662dvb4+HhwYEDB9i2bRvTp0/Xd0hCNhcSEsKSJUsynB/TtyxNaiqVSkaMGEG9evVwcXFJdJu3b98yY8YMBsRLFgQGBiYoKVffDwwMTPQ448ePZ5S6BxxSpaazszPu7u7YfD4JIZUUCgW+vr40a9YMExOTdB1DF5RKJV5eXkyfPh2VSkWNGjXYvn07RYsW1VtMhvLaGGI8hhSLocWT5liSqLBM1ucVliDt/+23CaosFaam+I4cSbNFizCJv8Q6MBAqVoQdO7QToUkcJ4Gk9k+G3n9OPj5SlaWdHZiZoTA15eiwYTRbsADjsDBk4eEQEoKseXMoVgzl1KmaXY08PJAfO5boYUvfuIHKzk6q0nz/XkqepmHpubrqXtC9vn2lH3tAABQsmHhiU6mUnndygj59sj7GrDBp0iR2797N3bt3GTVqFOvWrdN3SOkiKjWFOnXqcOnSJVatWsWECRO4du0adevWpW/fvsyZMwdzc3OOHj0KiAFBgiBkP9WrV+fixYvMmTOHGTNmsHfvXk6ePMmvv/5Kjx49UlW1+eHDByZNmsRvv/2GUqnEwcGBX375hV69emV538zU6Ny5MwcOHGDr1q1MmzbNIGMUso/JkyezZMkSAK5cucKcOXP0mlNKryxNanp6euLn58fp06cTfT40NJSWLVtSsWJFpsZ7g5weZmZmmCWy3NHExCTDCQJdHCO9goOD+e677zh06BAA7u7u7Ny5E2tra73E8zl9vjaJMaR4DCkWMKx4Uh3LpUu66WNpYgIDB8LgwdJ62896iJlER8clNSMjpQTcgAHaidFUHCfF/VPBxMQEk9BQKaEbFSX1s4yOjvve2Bjq1Inb4eBBePUq7vn4X83NYeLEuG2nTYNbtxJuGx0t9dAsVUrTE9Po3j1af/ttwgA3bQIzM4xmzpQG/kDcCG0zMyn7FRwsHdvaWvqfTnS0lBmrXBlatkzTgCBD+Z3NiUqXhuXLpV9nf3/p11WdD4uNhXfvpF9DJydpu9Kl9RtvZjE3N8fb25t69eqxfv16unTpgoeHh77DSjNRqSmAtCR98ODBmiXp3t7eeHt7s3v3bpo3b86HDx9wdnamZcuW+g5VEAQhzUxNTZk8eTJt27alT58+XL16lZ49e7J9+3ZWrFhB4cKFk9z34MGDDBkyhOfPnwPQvXt3Fi5caNAfBrZu3Rpzc3Pu37/P9evXE12xKgipoVQqtYZtbdmyhd27dzNy5EjGjx+f7kJAfciypObQoUM5ePAgp06dokiRIgme//DhAx4eHlhbW7Nnzx6tN65OTk5cvHhRa3v1ZNL0lJdnVzdu3KB9+/Y8evQIMzMzfv/9d/Lnzy+auguGLzwcfH0Tr7A0Noakelg2ayZNMFFLaohNUpIaYgPpH2QTGys1FAwOTngcIyPpGmNjpR6RSqV07TY2UoVp69Zxx/36a3j2LGHiMToaypaF+P/m1asH9+4lHl+JEvDoUdz9qVPhypXEt82fXzupeewYnDqV+LYWFrB1q5ThioyUrgVQATJjYymBWaWKdHNykq5b/e/2ihWwdi3Y2krb7d8vHcfeXkqsionnBsvNDXbulH58e/bAp7wYb95IvxLdukkVmjk1oanm5ubGDz/8wOLFizX9qwzlw8PUCA8PJ+zTaHpDfnMmZJ38+fOzZs0azZL069evaybofv/995qWT4IgCNlRlSpVOH/+PPPnz2fatGkcPHiQSpUqsWjRInr37q21bUBAAD/88IMmoVOiRAmWL19O8+bN9RB52lhbW9OqVSt27tzJ1q1bRVJTSLdz584REBCAra0t48eP53//+x8nT55kzpw5rFmzhqlTpzJgwIBs8fdBpkeoUqkYNmwYe/bs4cSJE5QoUSLBNqGhoTRv3hwzMzP279+fIEnn5ubGrFmzeP36teaPc19fX2xsbKhYsWJmX4JB2LBhAwMHDiQiIoLixYuza9cuKleujE8q+9AJgl4lNSnc3ByWLJGWOUdGaj+XWIWlsTEMHRqXaEsuoZ9S4kx9rEGDpCQlII+NpVD8SvLISCmpef++lMUJDpYqMtUaNoQTJ+JiCgiQEpqJxXLypPZj//2nnYyM71MyQsPMTEoYmppK38f/6uysvW39+tLa4c+3MzOTkozxDRsGHTsmvq2ZGTRqpEnYxpYsyV8//MBXy5dj8vSplOg9dCjx1/bzCZSfJ5DFxHODVro0zJol/Sd7+bJUnblihTRMKJu2l0yXmTNnsn//fh49esS4ceNYunSpvkNKNXWVpqmpabZKxgqZz83NjcuXL7NixQrN9Ny+ffvqOSpBEISMMzExYcKECbRp04Y+ffpw6dIl+vbty/bt21m6dClKpZI//viD8ePHExISgpGREaNHj2bKlCnZqqdg586d2blzJ9u2bWPOnDliCbqQLuqkfqtWrShfvjwjR47k8OHDjBkzhnv37uHp6clvv/3G/PnzadmypUH/nmV6UtPT05PNmzezb98+rK2tNT0wbW1tsbCwIDQ0FHd3d8LDw9m4cSOhoaGanmn58+fHyMgId3d3KlasyHfffce8efMIDAxk4sSJeHp6JrrEPCeJjo5m5MiRLFu2DAAPDw82bdqEg4ODmAIsZL7kKiyTkpYKS/UkwcKFpQpFNV1WWH79tZQktLKSHlep4Pvv4eFD6RYQoNnFCCjxv//FLZ8OCpIqFB8/Tnh8K6u4+NUxhYRIj8vl0u3DBynGYcOkRGN869dL074TS1R+/ofV9etxS7tTsnhx6rYDqR9oStQJWyDa1lb6OaW1yjJ+MjokRFRpZhMODlI7Wh8f6WtuW/lvZWXF6tWradq0KcuWLaNTp040bNhQ32GlSvx+mob8R6igH0ZGRnh6etKjRw8OHjyYq1Y9CYKQ81WqVImzZ8+ycOFCJk+ezOHDh6lWrRpOTk7cv38fgFq1arF69WqqVaum32DToUWLFuTJk4enT59y4cIF6sRvQyUIqaBUKtm1axcAHTp0AEAmk9G6dWu+/vprVq1axdSpU7l79y7ffPMNTZo0YcGCBQZbGZzp7yiXL18OQKNGjbQeX7t2Lb179+bq1atcuHABgNKfrWd7/PgxxYsXx8jIiIMHDzJ48GDc3NywsrKiV69eOX7i14sXL+jYsSPnz59HJpMxefJkJk+ejDy5sbSCoEtJVVgmJ6sqLD8/lrp3ZVSUlIwNC5OWbNvbg6tr3ORymQz++ktKnKrJZGBmhtLCgjdVqmD75ElcHOPGScu/7eykY9nbSxWP6oRm/Jhu3dJeYg0wb572snO1+vWTfx3jf2ihz6SEOmH74IF0PzgYXFzSXmWpPs65c9LvhqjSFLKBJk2a0L9/f1avXk2/fv24ceNGtqjmUFdqiqXnQnIsLS3JkyePvsMQBEHQOWNjY8aMGUPr1q3p06cP58+f58OHD1hZWTFr1iyGDh2KkZGRvsNMF0tLS9q0acOmTZvYunWrSGoKaXbhwgVevHiBtbU1X331FcfiDXg1MTHRfPDp5eXF4sWLOXbsGDVr1qRnz57MnDkz0XaS+pQly8+T06hRoxS3AShWrFiuWmp9/PhxOnfuzJs3b7Czs2PTpk20EEkAw6arvpGGRN89LENCpErKgABpgrj668uXUv/KoKC4Y927l/C1f/pU+vp5peXs2XGDcIoWhe++g1u3iC1enP86d6b03LlxcUyenLqKwpy6xFqdsB05Urqf3ipL9XFevBBVmkK2Mn/+fHx8fHjw4AFTpkxh/vz5+g4pRepKTTEkSBAEQcjNypcvz+nTp/ntt984fPgwS5cupVSpUvoOK8M6d+7Mpk2b2L59O7/88ku2TdAK+rFz504AvvnmmyTns9ja2jJnzhwGDRrEhAkT2LJlC+vXr2f79u2MHj2aMWPGGEyLI/Gu0sCoVCrmz5/P+PHjUSqVVKtWjV27dlGyZEl9hyakRFd9Iw1JZlVYhoeDXI4sPJyiR48if/FC2l+lkpKN6mNUqSIN00lMgQJSYlMdl6WlVN1obCwtGe/eHdq1k5KyxYpp79url/b9YcOkuKKipPtRUWKJdXwtWsDKldL3FSqkP1HbqpWU8K1RQ3exCUIms7W1ZeXKlbRq1YqFCxfSqVMnXF1d9R1WsuIvPxcEQRCE3EzdcqNEiRIULVpU3+HohLu7O3Z2dgQEBHD69Ols0x5H0D+VSqVJanbs2DHF7YsXL87mzZsZMWIEo0eP5vTp08ycOZPVq1czffp0+vbtq/dhQmIdswEJDQ3l22+/ZezYsSiVSnr16sXZs2dFQjO7UFc1GhlJw1vUt8KFpecLF9Z+3Mgo6apGQ6KuQAwKSn67oCBpWfLXX0vfX7sGe/dKo5TjHys0FO7cgVu3ML5zh+q//47R8+fSeOXPlzY7OUn9LcuVk4bWdO0qJYfnzYOFC7XjKlMGKlaEPHmk5eJLl4KHhzRJPKXeu+prVE80z+gS68DA9O1vqIyNYcAA6fv+/dOfqJXLpWkzooWGkM20bNmS7t27o1Qq6du3L9HxewAbIPXyc1GpKQiCIAg5j5mZGe3btwdg69ateo5GyE4uXbrEs2fPsLKyonnz5qne74svvuDUqVPs2rWL0qVL8+rVKwYOHEi1atU4fPhwJkacshxQQpQz3Lp1i/bt2/Pff/9hamrKkiVLGDBggGjwnxV0NQxHl1WNhsTYWIpz0CD4+FGaFqJSaV/f06dSheqdO9J0kY8f454rVixuII2xsZTcvXcP5HJUZma8rlCB/M+fI1eppErL+K/J6dPJTyfJk0f79U7v6yqWWKfMwwMOH5a+CkIutHjxYo4cOYKfnx+zZ8/WTI42RKJSUxAEQRByts6dO+Pt7c3OnTv57bff9F4tJ2QP6irNVq1aYWFhkabh0zKZjPbt29OqVSuWL1/O9OnTuXXrFl9//TXu7u7Mnz+fKlWqZFboSRK/+QZg27ZtfP/994SFheHs7MzOnTv5wtCr93ISXQ3DgfT1jdQFlUqaSq0ekKO+yeUQf6rfli3Inz+n7PXryE+flpKAYWHSfra2cUuMAVq2hMuX455XqaQKRJCSdVWrxm0bEiIlJJ8/j3usQAEpoVmqlLSvOkHv4yNNH797l5gSJTg/diwt5s5F/uSJtCw5/muS0rhlXfaxFEusk6eurhRVlkIulS9fPn7//Xc6d+7MrFmz+Oabb/QdUpJEpaYgCIIg5GxNmjQhX758vH37lmPHjuHu7q7vkAQDl9al50kxNTXlhx9+oGfPnsyaNYvffvuNI0eO4OvrS9++fZk+fTqFUjOPQ0dEUlOPFAoFY8aMYfHixQA0bdqULVu25I43IbqqjtQFXQ7DSa5aU6WC2Fjp2mNjpaTZpUtS0tDSUjtBunixtBw7foJSnbAsVgz++CNu28qVpQrJ2NiE8ZQvLz2nNns2Rn5+VEjsuj6/9uBg+FTto0Um005sRUZKFZPdukGbNlJ8zs5gYZHYWaTXeuTIjPewBN32sdT1EmtBEHKcjh07smXLFvbu3cuAAQMMtlpTVGoKgiAIQs5mbGzMt99+y4oVK9i6datIagopunr1Ko8fP8bS0pKvv/46w8ezt7dnwYIFDBkyhPHjx7N9+3bWrFmDtbU1ixYt0kHEqSOSmnoSEBBAp06dOH36NADjx49nxowZhj+5TFcTvnVZHfmZoCApVwhw7Bi4ukoropOky2XjSqWUSMyfXxpwE68fqvGlS9qJxxEj4r6vXRvOn4+7/8sv0hLmxFSsqH0/Nlb7uMbGYGUl3T5/Q9uiBcrKlXn27h3OFSpgZG0tbWdpmfBFWrNG+jmrj2VmBh07wq1b2gnQoCDpRV68OPWJQHWF5YMH0v309rCMf6xz56TfjYxUv4ol1oIgJEMmk7Fs2TJOnDjB1atX2bdvn0FWbKorNUVSUxAEQRByri5durBixQr27NnD8uXLMUtpjoCQq6mrNFu0aIGlDgvFSpYsybZt2xgxYgTTpk3L8g/9RVJTD06fPk3Hjh0JDAzExsaGP//8kzZt2ug7rNTR1YRvXVZHfvLgAXh7S7NpIiNh0SIpT2luDm3bQt++ULp0Ejund9n4xYvSa3LjhnT799+418bERArE1FS6L5fHJR/NzaXl3uqEYqlS2ufp1Us6jqVlXFJRve3nlbyHD0tDh9TbJLdke+5cYhUKbvj4ULhFC4yS27ZCIvWc6inhhtLDMv6xdNHHUiyxFj7j5eXF7t27uXv3LhYWFtStW5e5c+dSrly5BNuqVCpatGjB4cOH2bNnD23bttU89+zZMwYPHszx48fJkycPvXr1wsvLK9n+R0FBQQwbNowDBw4gl8vp0KEDv/76K3ny5MmMSxVSqWDBgixatIg+ffqwdetWxowZQ6VKlfQdloZKpdJUauaKlR+CIAiCkEvVr1+fQoUK4e/vz5EjRwzyg1bBMKhUKnbs2AFkbOl5ctzc3PQyNEgkNbPYpUv3adKkKQpFNMWLu7B9+25cXcvoO6zUSyoZqU7cFS4s9XZUSyoZqeOhOufOSYcKDNTO++XPL63i9vaWWjkuXw5ubokcIKVl49HR0vLmiAjtOLp0gcePtY9laipVU759KyVBbWwAiKlWDZPnz6WkqI9P8sm3mTOTfu5zRYumftuMMsQelpBz+1gKenfy5Ek8PT1xdXUlJiaGCRMm4O7uzu3bt7GystLadvHixYkOd4uNjaVly5Y4OTlx9uxZAgIC6NmzJyYmJsyePTvJc3fv3p2AgAB8fX1RKBT06dOHAQMGsHnzZp1fp5A2vXr1YsuWLRw5coSBAwdy6tQp5AbyYcjHjx+J/PThoqjUFARBEIScy8jIiI4dO/Lrr7+ybds2kdQUknTjxg0ePnyIubk5LXQ118NAiKRmGihVSq2vaaGuIly5chUKRTQmJvWJiDhMr15WKVcRGhJdJiN1NFTnwQMpnFevpMPI5VLhIkhfHRzAzg4CAqTtdu5M4rVWx3P5stQPMjpauoaIiLgKS2NjiN9/4quvpGXmVatClSrS13LlpGrJ/fu1+0bGxkrBDR2afadiG2IPSxB9LIVM8/mnjevWrcPR0ZErV67QoEEDzePXr1/nl19+4fLlyxQsWFBrnyNHjnD79m2OHj1KgQIFqFatGjNmzGDs2LFMnToVU/WHQvHcuXOHw4cPc+nSJWp9+t3+7bffaNGiBQsWLEi0+XZUVBRR6n9vgNDQUEDq35yWyYbxqfdL7/66ZEixAPz6669Ur16dM2fO8PvvvzN48GC9xRL/tfH39wfAwsICU1NTvbxehvSzMqRYwLDiMaRYwLDiMcRYBEEQEtOlSxd+/fVX9u3bR3h4uE6XFQs5R/yl5zlt1Vc2zazox+EHhzVf21RM/XJxdRVhQEA079+vB8DZ+Sesra0IDU1FFaGh0dWE79QkSFNRpentLVVoqhOaiZHLoYRjGKYvHnNu/CNK138sVVg+eiRVVJ49GxdPp05Sj8fE4q1fX5ryrV62vWpV0tevy76RhkT0sBRysZCQEAAc4vWgDQ8Pp1u3bixduhQnJ6cE+5w7d47KlStToEABzWPNmzdn8ODB3Lp1i+rVqye6j52dnSahCfDVV18hl8u5cOEC7dq1S7CPl5cX06ZNS/D4kSNHMvwHrq+vb4b21yVDiqVnz56sWrWKsWPHYm5urvUz1gdfX1/u3bsHQJ48efDx8dF7PIbCkGIBw4rHkGIBw4rHEGIJDw/XdwiCIBiw2rVrU6xYMZ4+fYqPjw/ffvutvkMSDEz8pec58fdDJDVTKUYZw6orqxhgM4DVV1fTsnxLjOUpv3zxqwitrA7y+vUbjI2dsLNrgUyWhipCQ5JUMlKplAbLREdL36uTkadPS8nD0FCpui80NO4WEaGdIFVvJ5dL+yuVUtXknDnw66+wb580aRtg/XoiT12k7F5zJsWaI39lTrTMnGi5OUoTYyAu4TrrUVeaB2+V7uz8dIsvOBjs7aUEXfHiUvWlnZ00HMfCQnq+ShU4dCj1FYW67BtpSEQPSyGXUiqVjBgxgnr16uHi4qJ5fOTIkdStWzfJ3siBgYEJkl3q+4GBgUnu8/nSYWNjYxwcHJLcZ/z48YwaNUpzPzQ0FGdnZ9zd3bH51AYjrRQKBb6+vjRr1gyT5HrwZgFDikUdj1Kp5NatW5w5c4YdO3Zw6NChRFsQZEUs6tdGqZRWkxQtWlRvy4sM6WdlSLEYWjyGFIuhxWNIsair7gVBEBIjk8no3Lkz8+bNY9u2bTkyaSVkjJ+fH//99x9mZma0atVK3+HoXDbPrmQdn/s+3H17F2zgzps7+Nz3oXW51inuF7+K8OHDNQDkzdsLmSzupZfLoWBBqf3k2rUwa5YOA4+OliaWR0TEfVXfAOItn2THDnjyRHsb9T7GxlJwavv2wfv30sXJZBirVLRp3z7uggoUiKvSbNtWSgYmZdcuaQCNuirz82neHz5IVYEQt64c4O+/Md+wgd7q+yHahz30caPm+xBjqaoqxMiep7ISFKhTggJuJaFECelmYSFtaGwM8+ZJCVt7+7hhOHJ5+hJ4uuwbaUhED0shF/L09MTPz4/Tp09rHtu/fz/Hjh3j2rVreoxMYmZmlujUSxMTkwy/KdfFMXTFkGKRy+WsXLmSWrVqcfToUTZt2kSfPn30Fo+JiQlBQUGAlDjX9+tkSD8rQ4oFDCseQ4oFDCseQ4hF3+cXBMHwdenShXnz5nHw4EE+fPiAtbW1vkMSDIi6StPDwyNH/m6IpGYqxChj+P3i76hUKkAq3116aSktyrRItlozKEiaxG1pCTExLwkNPYwRUNy+I1Yx7wgxzqvZtnLEBSrzntA/I/hYPII8RvESira2cb0HAcaMgcePMQoLo+6LFxh5eUmJt/BwcHKCU6fitq1dW5rOnZgCBaSkpNqSJVJVZWIsLbWTmgEB0vk+0apL+fQ6aZKA6iFBNjbaN1tb6evXX8dVaxYpImV4lUp4/VpKOE6dKi35joyUKifV2rXjblQJfA9Gks8qEjNVJKbKSExVkZgRiXG8KeyrCk5lWaFZfDCy48ULWDlayrUmSpfDcHTZN9KQiB6WQi4zdOhQDh48yKlTpyhSpIjm8WPHjvHw4UPs7Oy0tu/QoQNffvklJ06cwMnJiYsXL2o9/+rVK4BEl6urH1dPsFaLiYkhKCgoyX0E/ShbtizTp09nzJgxjBo1Cg8PjwR9VbPSmzdvADH5XBAEQRByi2rVqlGmTBnu37/P/v376d69u75DEgyIup9mTq3izSEZlszlc9+HW29u4WThRP4bN2j/AhSXL3L7/lCq5CkFHz9KtyJF4pYaA0r35uy+/xIb2UfMYt9giRILgLu1uGVZi14VLmm2nf2oC4Wjn0h3BqCtXDntpOb//gd+fsiBBG9ZwsK076srEOVy6XsLCylBaWERNyJcrXlzKYmofj7+7bMpv3h5ScnVsWPh0SMUzs78/cMPNF2+HJOnT7WTgJMnJ/v6AnHL2WNj46ojzcxg0iRo2TLxfdq145lVO7z+AUdH7XyhqamCsfnieom9N5GuNTZGKvb8/HK06HIYDoi+kYKQjalUKoYNG8aePXs4ceIEJUqU0Hp+3Lhx9OvXT+uxypUrs2jRIs0ESjc3N2bNmsXr1681S8p9fX2xsbGhYsWKiZ7Xzc2N9+/fc+XKFWrWrAlICVSlUknt2rV1fZlCBo0cOZLt27dz+fJlhgwZwu7du/WyDB3QJMPF5HNBEARByB1kMhldunRhxowZbNu2TWdJTaVSyc2bN7ly5QqvXr2iYcOGCT7IFwzb7du3uXPnDqamppr3JjmNSGqmIH6VppmxGbXmzaOuJnG4Unvj2rW1kpqWz+5SPuZZosc1U0Zq3X9sXpGPRrZ8UFhQrIIl+YvGSyjGqwoCpERiSAgxpqZcv3uXanXrYmxtLW37eTmxr6801MbERErOJWfixOSfj69qVenrzz9LyT+ZjCg7O6miMj1LtdNZHVmrltT6MjRU6k+akpAQaftPOYKU49HFMBzRN1IQsi1PT082b97Mvn37sLa21vSztLW1xcLCAicnp0QrJ4sWLapJgLq7u1OxYkW+++475s2bR2BgIBMnTsTT01OzXPzixYv07NmTv//+m8KFC1OhQgU8PDzo378/K1asQKFQMHToULp06ZLo5HNBv4yNjfH29qZmzZrs3buXHTt20KlTJ73Eoq7UFElNQRCygpeXF7t37+bu3btYWFhQt25d5s6dS7ly5TTbDBw4kKNHj+Lv70+ePHk025QvX16zTWIfBG3ZsoUuXbpkyXUIQnanTmoePnyY4OBg7O3t03wMlUrFrVu3OH78OCdOnODkyZO8e/dO8/zEiROpVKkSrq6umlvlypUxNTXV5aUIOqReeu7u7o6tra2eo8kcIqmZAnWVpoOFlDF7X6YMAR8e8tFUyXvjWKqUdMO5cAVpeM1nFTy3f1zLvLkqYszvcs9/KOGyPBR3uU2UcX6iZdp9z0aUOURMjLTiev0v0KxZMkH16AGASqHgpY8PVVu0iJvG/blkSxJ1QFcTvtNZHengIC0j9/aWkpXJ5Q2VSmk1f7duqUiA6nIYjiAI2dby5csBaNSokdbja9eupXfv3qk6hpGREQcPHmTw4MG4ublhZWVFr169mD59umab8PBw7t27h0Kh0Dy2adMmhg4dStOmTZHL5XTo0IElS5Zk+JqEzFG5cmUmTJjAtGnTGDp0KE2aNCFfvnxZHoe6UlMsPxcEISucPHkST09PXF1diYmJYcKECbi7u3P79m2sPr0PqVmzJt27d6do0aIEBQUxdepU3N3defz4MUbx+uWvXbsWj3grm0RFmCCkXsWKFXFxccHPz4+9e/emqse3SqXi7t27miTmiRMnNB+OqllZWVGtWjVu375NcHAwN2/e5ObNm3h7ewNST/eqVatqJTrLly+PXBT0GIScvvQcRFIzWfGrNM2NpQnf56ZOZe7ruUSrovH/4E/lAiYc6vZror01S/Zrgt86ePbMmzAgX97ufDB1TvJ8qa4iNCS6nPCdzurIvn3Bx0dq81mwYOKJTaVSet7JCVI9w0EMwxGEXE/dSzmj+xQrVgwfH59EtpY0atQowX4ODg5s3rw5zecX9GfChAns2rULPz8/fvjhBzZt2pTlMYjl54IgZKXDhw9r3V+3bh2Ojo5cuXKFBp8Gkg6I10arePHizJw5k6pVq/LkyRNKlSqlec7Ozk70jRaEDOjSpQsTJ05k69atiSY1VSoV9+/f5/jx45pEprrPu5qFhQX169encePGNGrUiFqf5ij4+PhQtWpVrl+/zqVLlzS39+/fc/HiRa3+8Xny5KFWrVpaic5ixYrprTVPbnX37l38/PwwMTGhdeuUh1xnVyKpmYzPqzQ/52DhgN9rvyQnoTs4QPPmwSxevAuAfPn6JdhGLU1VhIZGVxO+01kdWbo0LF8uFXn6+0ur8NXv5WJj4d076bV1cpK2K106lfGIYTiCIAhCGpiamuLt7U2dOnXYvHkzXbt2pVWrVlkagxgUJAiCPoWEhADSB3OJCQsLY+3atZQoUQJnZ+1iD09PT/r160fJkiUZNGgQffr0STIJEhUVRVRUlOZ+aGgoAAqFQmvVQ1qo90vv/plNxJd+hhwb6C6+9u3bM3HiRP7++2/8/f3Jly8fjx494uTJk5w4cYJTp07h7++vtY+5uTlubm40bNhQk8T8fDm5Oi5HR0datmxJy08zL1QqFQ8fPuTy5ctcuXKFS5cuce3aNT5+/Kip/FTLly8ftWrVombNmtSqVYtatWpRoECBDF1v/Nhy+s82PbZt2wZA06ZNyZMnT6IxGNrrl544RFIzCYlVaX7O3Ng8xUnoNjabgCiMjatgbp54CWa6qggNiS4nfKezOtLNDXbulAa079kD6qr5N2+kJGe3btJrm+qEpiAIgiCkg6urK6NHj2b+/PkMGjSIW7duZVkPI5VKJSo1BUHQG6VSyYgRI6hXrx4uLi5azy1btowxY8YQFhZGuXLl8PX11UqcTJ8+nSZNmmBpacmRI0cYMmQIHz9+ZPjw4Ymey8vLi2nTpiV4/MiRI1haWmboOnx9fTO0f2YT8aWfIccGuomvVKlSPHz4kCZNmvD27VutnpgAJiYmlCtXDhcXFypXrkzZsmUx+dTK7v379xw9ejTN8dnY2NC4cWMaN25MbGwsz58/5/79+zx48ID79+/z9OlT3r59y+HDh7Wqu/Ply0fp0qUpU6YMpUuXpnTp0pq2FWmVG362abVu3ToASpcuneyKMTCc1y88PDzN+4ikZhJSqtJUS6lac//+NQA4On5PQIAMCwuwtZUmcMfGSkvO01VFaGh0NeE7A9WRpUvDrFkwejRcviy9ritWSIfLdtWvgiAIQrY1bdo09u7dy/379/npp59YtWpVlpw3NDRU8wm3qNQUBCGreXp64ufnx+nTpxM81717d5o1a0ZAQAALFiygU6dOnDlzBnNzqXhk0qRJmm2rV69OWFgY8+fPTzKpOX78eEaNGqW5HxoairOzM+7u7tjY2KQrfoVCga+vL82aNdMkeQyJiC/9DDk20G18d+/eZdy4cdy7dw+Qkpi1a9emYcOGNGzYkNq1a2NhYZGl8UVGRvLvv/9y+fJlze3evXu8ffuWt2/fcv78ec22ZcqU0VRy1qpVi2rVqiUbb2762abF/fv3efLkCcbGxkycODHJ6nlDe/3UVfdpIZKaiUhNlaZactWaV69e5fr165iamrJ3b3f27pWqCF+/lhKaRkZSD80cUUVoQBO+HRygcWOpz2bjxknPUBIEQRCEzGBhYcEff/xBw4YNWb16NZ07d6Zp06aZfl51lWaePHnS/IZFEAQhI4YOHcrBgwc5deoURYoUSfC8ra0ttra2lClThjp16mBvb8+ePXvo2rVroserXbs2M2bMICoqCjMzswTPm5mZJfq4iYlJht+Y6+IYmUnEl36GHBvoJj5PT0+eP3+OnZ0djRo1om7duhmuXs5ofCYmJtSrV4969eppHgsNDeXq1ata/TmfPHnC/fv3uX//Plu2bAGkgZsuLi6a3pxffPEFlSpVShBHbvjZpsW+ffsAaNKkSaqW+RvK65eeGERSMxEXX17kUfAjYlWxPA99rnncXG4OjvDyw0silZFa+zwMesjFlxep61xX89iaNVKVZrt27XB1zYurq1RFeOUKhIVJg8lr1hRVhIIgCIKQ0zRo0IAhQ4awbNky+vfvz82bN9O9pCq13r59C4gqTUEQso5KpWLYsGHs2bOHEydOUKJEiVTto1KptHpifu769evY29snmrgUBCFpefLk4ffff9d3GCmysbGhUaNGNGrUSPPYmzdvuHz5slai89WrV9y4cYMbN27wxx9/AFIf0OrVq+Pq6kr16tUJDw9HqVTq6UoMU26Yeq6W6UlNLy8vdu/ezd27d7GwsKBu3brMnTuXcuXKabZZtWoVmzdv5urVq3z48IHg4GDs7Oy0jlO8eHGePn2a4Njjxo3TeczVnKqxsPlCFLGfNSmNBR7BwmYLwUj7KRMjE6o5VdPcj4iI0Ew97dcvbkCQgwM0a6bzkAVBEARBMDBz5szh4MGDPH78mJ9//pnFixdn6vlEP01BELKap6cnmzdvZt++fVhbWxMYGAhIlZkWFhY8evSIbdu24e7uTv78+Xnx4gVz5szBwsKCFp+Gix44cIBXr15Rp04dzM3N8fX1Zfbs2fz444/6vDRBELJY/vz5+frrr/n6668B6QOQFy9eaCU5L1++TEhICOfOnePcuXOafcePH59g4rqzs3OunLj+6NEjrl69ipGREe3atdN3OJku05OaJ0+exNPTE1dXV2JiYpgwYQLu7u7cvn1bU7EQHh6Oh4cHHh4ejB8/PsljTZ8+nf79+2vuW1tbZ0rMliaWifbHVCgU+DzyoXX51imWxe7atYuQkBCKFy9OkyZNMiVOQRAEQRAMl7W1NatWrcLDw4MlS5bQqVMn6tatm/KO6aSefC6SmoIgZJXly5cDaFVbAaxdu5bevXtjbm7OP//8w+LFiwkODqZAgQI0aNCAs2fPav6tMjExYenSpYwcORKVSkXp0qVZuHCh1vs+QRByH5lMhrOzM87OzrRv3x6QBpI9ePBAk+S8cOECV69eJTQ0lGPHjnHs2DHN/o6OjlpJTldX11yxmkVdpdmoUSPy5cun52gyX6YnNeNPtwJpApOjoyNXrlyhQYMGAIwYMQKAEydOJHssa2trnJycUnXeqKgorSUN6oajCoUi3ePq0zLuXl0a3bNnT2JjY4mNjU3XOXUVT2YzpFjAsOIxpFjAsOIxpFjAsOIxpFjAcOLR9/kFIa2aN29O7969WbduHd9//z3Xrl3TDMbQNXVSMzf8wS4IgmFQqVTJPl+oUKEUp+6qi1sEQRBSIpfLKVu2LGXLlqV79+4oFAr2799P0aJFuX79uibZefPmTV6/fs2hQ4c4dOiQZv9ixYppJTlr1qyZ7uFihio3LT0HPfTUDAkJAUhy+lJy5syZw4wZMyhatCjdunVj5MiRGBsnfgleXl5MmzYtweNHjhzJcKPclMbdBwQEcPLkSc0nCyn9jzyjUoonKxlSLGBY8RhSLGBY8RhSLGBY8RhSLKD/eMLDw/V6fkFIj4ULF3L48GHu3r3LjBkzmDVrVqacR1RqCoIgCIKQ2xgbG1OtWjVcXV01Fd4RERFaSc5Lly5x7949nj59ytOnTzWJP5lMRrly5bQGEVWtWjXTPoDObE+ePOHSpUvI5fJcsfQcsjipqVQqGTFiBPXq1cPFxSVN+w4fPpwaNWrg4ODA2bNnGT9+PAEBASxcuDDR7cePH8+oUaM090NDQ3F2dsbd3T3dmfjUjrufNGkSAO7u7vTq1Std59JlPFnBkGIxtHgMKRZDi8eQYjG0eAwpFkOKR111LwjZib29PcuWLaN9+/bMnTuXb7/9lurVq+v8PKJSUxAEQRAEASwsLHBzc8PNzU3zWEhICFeuXNFKdD579oy7d+9y9+5dNmzYAEhJ0ipVqmhVdFasWDHJgjpDsmvXLkAaWJmaqec5QZb+VDw9PfHz8+P06dNp3jd+grJKlSqYmpoycOBAvLy8Ep2KZ2ZmlujjuhhVn9wxYmJiNP8x9OvXL0ve/OvimnTFkGIBw4rHkGIBw4rHkGIBw4rHkGIB/cdjSK+FIKRFu3bt6NixIzt27KBv375cvHhR57/PolJTEARBEAQhcba2tjRp0kRr5snr16+1kpyXLl3izZs3XL16latXr7Jy5UpASpLWqFFDK9FZunRpgxtEtGPHDgA6duyo50iyTpYlNYcOHcrBgwc5deoURYoUyfDxateuTUxMDE+ePNGapK5vhw8fxt/fn3z58tG6dcJhQ4IgCIIg5E6//fYbf//9N9evX2fevHn8/PPPOj2+qNQUBEEQBEFIPUdHR1q2bEnLli0BqU/ws2fPEkxc//DhA2fOnOHMmTOafe3s7BJMXC9cuLDeEp3Pnj3jwoULyGSyXLP0HLIgqalSqRg2bBh79uzhxIkTlChRQifHvX79OnK53OCqEdasWQPAd999h6mpqZ6jEQRBEATBUBQoUIAlS5bQo0cPpk+fTrt27ahYsaLOji8qNQVBEARBENJPJpNRrFgxihUrphm0o1Qq+e+//7QSndeuXeP9+/ccPXqUo0ePavZ3cnLSSnJWq1Yty2LfvXs3APXr16dgwYJZdl59y/SkpqenJ5s3b2bfvn1YW1sTGBgISKW/FhYWAAQGBhIYGMiDBw8AuHnzJtbW1hQtWhQHBwfOnTvHhQsXaNy4MdbW1pw7d46RI0fSo0cP7O3tM/sSUu3Vq1ccPHgQgO+//17P0QiCIAiCYGi6devGli1bOHToEN9//z2nT5/GyMgow8dVKpW8ffsWEElNQRAEQRAEXZHL5ZQvX57y5cvz3XffAdK8AT8/Py5evKhJdN66dYvAwEAOHDjAgQMHNPu7ubnx1VdfZXobrdy49BxAntknWL58OSEhITRq1IiCBQtqbtu2bdNss2LFCqpXr66ZVNWgQQOqV6/O/v37Aak/5tatW2nYsCGVKlVi1qxZjBw5klWrVmV2+Gny559/EhMTQ506dahUqZK+wxEEQRAEwcDIZDJWrFiBjY0N58+f57ffftPJccPCwoiJiQEgX758OjmmIAiCIAiCkJCJiQnVq1dn4MCB/PHHH9y4cYPQ0FBOnz7NokWL6NatG2XKlAHg3LlzDBo0CJVKlWnxvHz5krNnzwLQvn37TDuPIcqS5ecpmTp1KlOnTk3y+Ro1anD+/HkdRqV7KpWKP/74AxBVmoIgCIIgJK1IkSLMnz+fgQMHMmHCBFq0aEHZsmUzdMyQkBBAWgmT2KBEQRAEQRAEIfNYWlpSr1496tWrp3ns4MGDtGnTho0bN1K8eHFmzJiRKedWTz2vW7cuhQsXzpRzGKpMr9TMLc6cOcN///2HlZUVnTt31nc4giAIgiAYsP79+9OkSRMiIiJo2bKlZul4eqmTmmJIkCAIgiAIgmFo3rw5gwcPBmDmzJmsXr06U86zc+dOIPctPQeR1NQZ9YCgTp06YW1tredoBEEQBEEwZDKZjE2bNlGsWDEePHhAmzZtiIiISPfx1ElN0U9TEARBEATBcDRr1owJEyYAMHjwYP73v//p9PgBAQGcPn0ayH1Lz0EkNXUiNDSU7du3A9CvXz89RyMIgiAIQnbg5OTE//73P+zs7Dh79iy9evVCqVSm61ihoaGAqNQUBEEQBEEwNFOmTKFXr17ExsbSsWNHrly5orNj7969G5VKRe3atSlatKjOjptdiKSmDmzbto3w8HDKly+Pm5ubvsMRBEEQBCGbqFChAnv37sXU1JQdO3YwduzYdB1HVGoKgiAIgiAYJplMxqpVq/jqq68ICwujZcuWPHnyRCfHzs1Lz0EkNXUi/oAgmUym52gEQRAEQchOGjZsyNq1awFYsGABS5cuTfMxRE9NQRAEQRAEw2VqasquXbuoUqUKr1694uuvvyYoKChDx3z16hWnTp0CoEOHDroIM9sRSc0M8vPz4+LFixgbG9OzZ099hyMIgiAIQjbUrVs3Zs2aBcDw4cM5cOBAmvYXlZqCIAiCIAiGzcbGBh8fH4oUKcLdu3dp27YtkZGR6T7enj17UCqVuLq6Urx4cd0Fmo2IpGYGqQcEtW7dWryREARBEAQh3caPH0+/fv1QKpV06dKFS5cupXpfkdQUBEEQBEEwfIULF8bHxwcbGxv++eefDPVUVy89//bbb3UZYrYikpoZEBUVxYYNGwBp6bkgCIIgCEJ6yWQyli1bhoeHB+Hh4bRq1YrHjx+nal8xKEgQBEEQBCF7qFy5Mnv27MHExITt27enq6f6mzdvOH78OCCSmkI67d+/n3fv3lG4cGGaN2+u73AEQRAEQcjm1H/cVqtWjdevX9OiRQuCg4NT3E9UagqCIAiCIGQfTZo0wdvbG5B6qv/+++9p2n/v3r0olUpq1KhByZIlMyPEbEEkNTNAPSCod+/eGBkZ6TkaQRAEQde8vLxwdXXF2toaR0dH2rZty71797S2GThwIKVKlcLCwoL8+fPTpk0b7t69q3l+3bp1yGSyRG+vX79O8tzFixdPsP2cOXMy7VoFw2Ftbc2hQ4c0/ZbatWtHVFRUktvHxsby4cMHQFRqCoIgCIIgZBc9evTQ6qm+d+/eVO8rlp5LRFIznZ4+fYqvry8Affv21XM0giAIQmY4efIknp6enD9/Hl9fXxQKBe7u7oSFhWm2qVmzJmvXruXOnTv89ddfqFQq3N3diY2NBaBz584EBARo3Zo3b07Dhg1TrKqbPn261n7Dhg3L1OsVDEehQoU0/ZZOnjxJnz59kuy3FBQUpHkuX758WRmmIAiCIAiCkAHjx49nwIABqFQqunbtyvnz51Pc5927d/z999+ASGoa6zuA7GrdunWoVCqaNGmSq0t9BUEQcrLDhw9r3V+3bh2Ojo5cuXKFBg0aADBgwADN88WLF2fmzJlUrVqVJ0+eaCo4LSwsNNu8efOGY8eOaQbNJcfa2honJ6dUxRoVFaVVzafusahQKFAoFKk6xufU+6V3f10ypFgga+IpX74827Zt45tvvmHLli04Ozszc+bMBNsFBAQAYG9vn+kxpYYh/awMKRYwrHgMKRYwrHgMMRZBEAQhZ5LJZCxdupSXL19y6NAhvvnmG86dO0fp0qWT3Gffvn3ExsZStWpVypQpk4XRGh6R1EyH2NhYTe8DMSBIEAQh91D3LXRwcEj0+bCwMNauXUuJEiVwdnZOdJs///wTS0vLVH2qOmfOHGbMmEHRokXp1q0bI0eOxNg48f91e3l5MW3atASPHzlyBEtLyxTPlRz1ygRDYEixQNbEM2TIEJYsWcK8efP48OFDgj7eN2/eBMDS0hIfH59Mjye1DOlnZUixgGHFY0ixgGHFYwixhIeH6zsEQRAEIZMZGxuzdetWGjVqxJUrV/Dw8ODcuXNJthUSS8/jiKRmOhw7doxnz55hZ2dHu3bt9B2OIAiCkAWUSiUjRoygXr16uLi4aD23bNkyxowZQ1hYGOXKlcPX1xdTU9NEj7NmzRq6deumVb2ZmOHDh1OjRg0cHBw4e/Ys48ePJyAggIULFya6/fjx4xk1apTmfmhoKM7Ozri7u2NjY5PGq5UoFAp8fX1p1qwZJiYm6TqGrhhSLFkdT4sWLbCxsWHmzJmsWrWKr7/+Gg8PD83z6n6axYoVo0WLFpkaS2oY0s/KkGIxtHgMKRZDi8eQYlFX3QuCIAg5W548eTh48CBubm48fPiQb775hmPHjiUoTggODubo0aMAdOzYUR+hGhSR1EyHtWvXAtC9e/cU35QKgiAIOYOnpyd+fn6cPn06wXPdu3enWbNmBAQEsGDBAjp16sSZM2cwNzfX2u7cuXPcuXOHDRs2pHi++AnKKlWqYGpqysCBA/Hy8sLMzCzB9mZmZok+bmJikuE35bo4hq4YUiyQdfFMnz6d58+fs379erp27co///xD9erVAamnJkiTz3Pja5MahhQLGFY8hhQLGFY8hhCLvs8vCIIgZB0nJyf+97//UbduXS5cuEC3bt3YtWuX1mDq/fv3o1AocHFxoVy5cnqM1jCIQUFpFBoayv79+wHo16+fnqMRBEEQssLQoUM5ePAgx48fp0iRIgmet7W1pUyZMjRo0ICdO3dy9+5d9uzZk2C7P/74g2rVqlGzZs00x1C7dm1iYmJ48uRJei5ByOZkMhmrVq2iadOmhIWF0bJlS549ewbA69evAVIcPCUIgiAIgiAYtvLly7N//37MzMzYt28fP/zwAyqVSvP8jh07ALH0XE0kNdPo5MmTREdHU6NGDapVq6bvcARBEIRMpFKpGDp0KHv27OHYsWOUKFEiVfuoVCqtoT0AHz9+ZPv27enuxXz9+nXkcrlIXOVipqam7Nq1CxcXFwICAmjRogXv37/n7du3gJh8LgiCIAiCkBPUr1+fDRs2aIYILViwAJD6+x85cgQQS8/VxPLzNFCpVJqG4WJAkCAIQs7n6enJ5s2b2bdvH9bW1gQGBgJSZaaFhQWPHj1i27ZtuLu7kz9/fl68eMGcOXOwsLBI0Ntw27ZtxMTE0KNHjwTnuXjxIj179uTvv/+mcOHCnDt3jgsXLtC4cWOsra05d+4cI0eOpEePHpoJ10LuZGtri4+PD7Vr1+bWrVt06NBB02tJJLwFQRAEQRByho4dO/L8+XNGjx7NmDFjcHZ2JiYmBoVCQYUKFahYsaK+QzQIIqmZBpcvX+bZs2eYm5vTrVs3fYcjCIIgZLLly5cD0KhRI63H165dS+/evTE3N+eff/5h8eLFBAcHU6BAARo0aMDZs2cTJJjWrFlD+/btsbOzS3Ce8PBw7t27h0KhAKT+mFu3bmXq1KlERUVRokQJRo4cqdVnU8i9nJ2dOXToEA0aNODYsWOax0WlpiAIgiAIQs4xcuRInj17xq+//kqvXr0oU6YMIJaexyeSmmmgHhCU1JtSQRAEIWeJ378mMYUKFcLHxydVxzp79mySzzVq1EjrXDVq1OD8+fOpC1LIlapXr86OHTto1aoVsbGxgKjUFARBEARByElkMhm//J+9+45r4vzjAP4JQzYiCiIuxIETEbfWVbdW666jWkcdravWVeve81d33as4qrbVWsWBde+9caEoCiiK7E2+vz/SnAQCJBCSJ/h9v168lMvl7pO7kG/uuefu+d//EBQUhL/++gv3798HwJeep8X31NRQbGwsdu/eDQAYMGCAgdMwxhhj7FPXpk0bqTcxoBgxkzHGGGOM5R+mpqbYvn07GjRoAACoUKECqlatauBU4sjzRs358+ejdu3asLOzg7OzMzp16oRHjx6pzLN+/Xo0bdoU9vb2kMlkiIiIyLCc8PBw9OnTB/b29nBwcMCgQYMQExOT1/ElSUlJGDp0KCpVqoTGjRvrbb2MMcYYY5kZPHgwNmzYgF69esHDw8PQcRhjjDHGmI5ZWVnhwIEDGDVqFNatWweZTGboSMLI80bN06dPY/jw4bh06RL8/PyQnJyMVq1aITY2VponLi4Obdq0wc8//5zpcvr06YP79+/Dz88PBw8exJkzZzBkyJC8ji8pVKgQ5s2bh/nz5/MbiDHGGGPC+Oabb/DVV1/x9xPGGGOMsXyqcOHCWL58eYZ7/X/q8vyemkeOHFH5fevWrXB2dsb169elHo8//PADAODUqVNql+Hv748jR47g6tWrqFWrFgBg5cqVaNeuHZYsWQJXV9c8y88YY4wxxhhjjDHGGBOL3gcKioyMBAA4Ojpq/JyLFy/CwcFBatAEgBYtWsDExASXL19G586dMzwnMTERiYmJ0u9RUVEAgOTkZGl0WW0pn5fT5+uaSHlEygKIlUekLIBYeUTKAoiVR6QsgDh5DL1+xhhjjDHGGGNi0Gujplwuxw8//ICGDRtqdWPT0NDQDCN6mpmZwdHREaGhoWqfM3/+fMycOTPD9GPHjsHa2lq74On4+fnl6vm6JlIekbIAYuURKQsgVh6RsgBi5REpC2D4PHFxcQZdP2OMMcYYY4wxMei1UXP48OG4d+8ezp07l+frmjRpEn788Ufp96ioKJQsWRKtWrWCvb19jpaZnJwMPz8/tGzZEubm5rqKmmMi5REpi2h5RMoiWh6RsoiWR6QsIuVR9rpnjDHGGGOMMfZp01uj5ogRI6QBfkqUKKHVc11cXPD27VuVaSkpKQgPD4eLi4va51hYWMDCwiLDdHNz81wfkOtiGbokUh6RsgBi5REpCyBWHpGyAGLlESkLYPg8Im0LxhhjjDHGGGOGk+ejnxMRRowYgX379uHEiRMoU6aM1suoX78+IiIicP36dWnaiRMnIJfLUbduXV3GZYwxxhhjjDHGGGOMCS7Pe2oOHz4cO3fuxN9//w07OzvpHpgFCxaElZUVAMU9M0NDQ/H06VMAwN27d2FnZ4dSpUrB0dERlSpVQps2bTB48GCsXbsWycnJGDFiBHr27MkjnzPGGGOMMcYYY4wx9onJ80bNNWvWAACaNm2qMn3Lli3o378/AGDt2rUqg/o0btw4wzw7duzAiBEj0Lx5c5iYmKBr165YsWKFxjmICEDu7seWnJyMuLg4REVFCXEJpEh5RMoiWh6RsoiWR6QsouURKYtIeZSf4crPdJa5/Fb3RMoiWh6RsoiWR6QsouURKYtoeUTKwnVPM/mt5qnD+XJO5GwA58sNkbMBnE9bOal5MvpEKuSrV69QsmRJQ8dgjDGmA0FBQVrfn/lTw3WPMcbyD657WeOaxxhj+Yc2Ne+TadSUy+UIDg6GnZ0dZDJZjpahHEE9KCgoxyOo65JIeUTKIloekbKIlkekLKLlESmLSHmICNHR0XB1dYWJSZ7fFtqo5be6J1IW0fKIlEW0PCJlES2PSFlEyyNSFq57mslvNU8dzpdzImcDOF9uiJwN4HzayknN09vo54ZmYmKis7Ob9vb2QuxwJZHyiJQFECuPSFkAsfKIlAUQK49IWQAx8hQsWNCg6zcW+bXuiZQFECuPSFkAsfKIlAUQK49IWQCx8oiShete9vJrzVOH8+WcyNkAzpcbImcDOJ82tK15fLqPMcYYY4wxxhhjjDFmVLhRkzHGGGOMMcYYY4wxZlS4UVMLFhYWmD59OiwsLAwdBYBYeUTKAoiVR6QsgFh5RMoCiJVHpCyAeHmYfoi030XKAoiVR6QsgFh5RMoCiJVHpCyAWHlEysL0R/T9zvlyTuRsAOfLDZGzAZxPHz6ZgYIYY4wxxhhjjDHGGGP5A/fUZIwxxhhjjDHGGGOMGRVu1GSMMcYYY4wxxhhjjBkVbtRkjDHGGGOMMcYYY4wZFW7UZIwxxhhjjDHGGGOMGRVu1GSMMcYYY4wxxhhjjBkVbtQ0MjxYPTN2/B42DryfmAj4fciYbvHfFGNi479RxowP/90aFjdqGpHw8HDIZDJDxwAA/Pvvv7h3756hY0iuXLmCnj174vbt24aOgpiYGENHyECUD9o3b94I8x4+ceIEjh8/bugYksuXL6N58+a4dOkSAMPus/fv3wuzn9inS6SaB4hV97jmGQ+Rts/JkycRGhpq6BiSq1evYuTIkXjy5ImhoyApKcnQERgTru6lJVINVEekuqiOSLXA2Ii+7USrrWmJVGfV0VXt5UZNI7B//340atQIPXr0wJAhQ3D16lWDZfnzzz/h6emJli1b4saNGwbLofTXX3/Bw8MD9erVw549exAUFGSwLH///Tfq16+P3r17Y/z48Xj+/DkAwzROHTlyBF27dsUff/xhsAxp7d+/H/Xr18eXX36Jnj17Yv/+/QbL9ddff6FatWpo0aIFAgIC9L5+dXk8PDzw2Wef4eTJk7h58yYAGORL7T///IPatWujS5cuGDZsGM6fPw/AcO+fw4cPY/DgwTh16pRBczD9EqnmAWLVPa55mfP19cVPP/2E+/fvGzSH0v79+/H555+jX79+mDhxIl6/fm2wLMr3cPPmzXHu3DmD5Uibp2LFiqhbty5Wr16N2NhYg2VRft58++23mDdvHuLi4gyWhWvep0u0upeWSDVQHZHqojqi1cq0RKub6YlUR9URrbamJVKdVUfntZeYsO7evUuNGzemkiVL0rRp02jr1q1UpUoV6tSpE71580avWa5du0bFihWjokWL0tSpUykmJkav609v586d5OTkREWKFKEFCxbQs2fPqGDBgnTu3DmD5Fm8eDGVKVOGpk+fTtu3bycvLy/67LPP6OHDh0REJJfL9ZLjzZs39O2331LJkiXJycmJvv76a72sNzOPHz+mzz//nNzc3GjGjBm0f/9+atmyJdWqVYsCAwP1muXu3bvk7OxMhQsXpunTpxv8Pbxv3z4qVKgQOTk50fz58yk4OJjc3Nxox44dRKS/94zSpk2byN3dnWbOnEkHDhygdu3aUenSpeny5ct6zUFE9Pr1a+rXrx85OTmRra0tTZ06Ve8ZmP6JVPOIxKp7XPMy9/z5c+rZsyfZ2dmRmZkZbd68WW/rVufatWvUoEEDKlGiBE2ePJmWLFlChQsXphEjRlBUVJRes5w/f56KFy9OLi4uNGXKFIPXvU2bNpGLiwsVLlyYFixYQNevXydLS0t68uSJ3rMkJyfTzz//TG5ubjRlyhRasWIFFS9enHr27Cl9P9HX+5hr3qdLtLqXlkg1UB3R6qI6ItXKtESrm+mJVEfVEa22En18L4lUZ9XJq9rLjZoC8/PzowkTJtCzZ8+kaStXrqSqVavSq1ev9Jrl0KFDJJPJ6Pr169K0wMBASk5O1msOIqLY2FgaPXo0rVmzRlp/cHAwlS1blpYuXUpE+ikSynW8ffuWKlSoQJs2bZIeu3//PlWrVo06d+6slwxK0dHR1K1bN9qzZw/NmTOH6tWrR76+vkRElJqamqdZ1OW5c+cOjR07lh49eiRN27dvH1WsWJFu376t1ywPHz4kmUxGf/31lzTN39+foqOj8zSHujwJCQm0ePFiWrt2rfQelsvlVL16dZo4cSIR5e3+Sr9toqKiqEqVKrRo0SJp2vv376lp06bUpEkTioiIyLMs6jx79oy6d+9Ohw4doqFDh1KLFi3oypUrRKSf9zEzDJFqHpE4dY9rXtYuXbpEPXr0oJMnT1Lbtm2pU6dO9Pz5c5XM+pKSkkLbt2+nSZMm0cuXL6XpEyZMoFq1alFcXJxes6xYsYJkMpm0PYiIQkJCpP/rc/tERkZS165d6ddff5Xex9euXaNSpUrR77//rrccytf87NkzKl++vMp3Aj8/P6pQoQINGzaMiBTbUB+45n2a5HK5cHUvLVFqoDqi1MWsiFYr0xKpbqYnUh1VR7TampYodTYreVV7uVFTEDExMXTx4kVKTEyUpoWGhmY4Szd16lSaOHFinn7JUZclIiKCPv/8c/riiy9o7dq1VKlSJapbty7VrFmTDh8+TAkJCXrJo/yQSP9hERQUROXLl6fVq1fnWY70WZROnjxJVapUoWPHjknTIiIiqEyZMiSTyejSpUt5kiU+Pl76v1wul7ZJQEAAESl6SbZq1Yq+/fbbPFl/dnmIFF863r59qzLfvHnzaODAgSrbUB9ZiIh69epF9erVo0WLFlH58uWpVq1a5OHhQevWrcvTxs20eTL723337h01bNiQfvzxxzwthuq2zdOnT6lGjRq0detWKWNiYiLVqVOHZDJZnhbCuLg46Yy1UkJCgtQQfvXqVapRowbNnTs3zzIw/VO339+8eWOQmpdZHkPVPXVZ0tNXzVOXxVA1j0hRU+7du6fyGfn27Vu6f/8+EREdP36cSpQoQbt27cqzDNnlef78eYb38Q8//ECLFy/O0892dVkePnxI9erVo4EDB9LmzZvJ09OTGjZsSC1atKBbt27l6d+VujxKymlPnjwhR0dHOnLkSJ7lyCzL9u3bycPDQ3rvECl6TBYsWJBkMhkFBQWpZNWVtN99lMtOSkrimvcJULfvw8LCDFb3sssWFRVlsGO/rPJltl30VRfVUbf9Tp8+bbBamVZcXFyGBvKwsDCD1c301OULDAw0SB1VR10+Q9bW7LIp6bvOqqMu344dO/Kk9nKjpoFFR0fTiBEjyNramjw8PKhBgwbSGZ20O/PPP/+kMmXKkKmpKVWtWpXatm2r0sKdV1k2btxIRIoC8scff5BMJqOGDRvS1q1bae/evdSuXTuqWrUqrVixQqdZMsuj3DZpPyyU28nd3Z3mzJlDRLo/u64uy4YNG4hI0YhYoUIFmj17ttT93M/Pjzp16kRVq1alr776KkPm3Hj37h398MMPVLBgQakRKrPXO3XqVKpfvz6dPXs2y/n0kefo0aPk4eFBZmZmVLlyZWrQoAGtWrWKiPS3ba5fvy69h7dt20b//vsvDRw4kCpXrkw//fSTTjJok0dJ+R6uVasWjRo1KtP5dJ1FeRYvNDSUmjVrRgMHDpQaoc+ePUs9evSgunXrUvPmzYlItz1GQkNDaeDAgeTi4kK1atWiVq1a0eHDh9Wup2/fvtSuXTu6d++eznMw/cpqv+u75mWWJ23vdn3WPXVZlF9C9V3z1GU5dOgQEem/5hEpeh8MHTqU7OzsqFq1atS2bVs6evSo2vV89tln1KdPH3r9+jUR5U2PCXV51O2rXbt2UalSpcjU1JS8vb2pZ8+edOHCBb1liYuLoyVLlkjv4c2bN9OaNWuoTp06VKNGDfrjjz90miWzPOr2lVwup7i4OHJxcaH169dneDyvsig/bx48eEDW1tbk4+MjvUf2799P7dq1owoVKtCIESN0miksLIxGjhxJHh4e9M8//xBR5n+3XPPyF033vb7qnjbZ9H3sp0k+dX8P+qiLmuZTfrd+8eKF3mtlWso6XqJECWrQoAF99dVXdPfuXSLKWBf1UTdzmk8fdVTTfHfu3CEiRQcRfdfW7LKp23b6qLOa5lNeoenv758ntZcbNQ3Mx8eHPDw86Pz583TlyhUaMmQIFShQgM6cOaMy35YtW2jevHn04sULOn/+PI0cOZKcnJwoMjJSb1nevn1La9asUblsODY2lgYPHkwNGzbUeXdwTbcNkeKLa+vWrWngwIE6zZA+y7lz51SynDx5koiIZs+eTSVLlqSmTZtS1apVycrKipYtW0Zz584ld3d3nW0bf39/atu2LdWpU4fq1atHrVu3Vjuf8oPgypUr1KxZM6mhTNc0yaP8wNq3bx8tXbqUXr9+TXfu3KGFCxeSTCbT2T2DNN02mzZtoosXL0q/p6Sk0MyZM6l48eI67a2paR6ij9uoX79+1LJlS51l0CSL8r2ydetWKleuHNWsWZMqVapEZmZm9L///Y9+++03srW11elnzdmzZ6l27drUoUMHOn36NB06dIjatGlD9evXlxpV5XK59IX0yJEjVKNGDemSImacNNnvyn2uj5qXVR7l51JwcDCtXbs2z+uepn8TSnlZ89JmOXXqlEoW5eVVM2bMoNKlS+d5zVNavnw5Va1alc6dO0fHjh2j9u3bk6urKz1+/FiaJykpiYgUB0Bubm60f/9+nWbQJo/yc/WXX36hGTNm0JMnT8jX15e6dOlCtWvX1un9tzLLouxhe+vWLVqxYoXKbWDev39Pbdu2pT59+uj8qglN9pXSixcvqHbt2jRr1iydZkif5ezZsypZHjx4QEREAwcOpOLFi1PHjh2pevXqZG9vT6tWraLvvvuOmjdvrrNtc/PmTWrcuDF5eXmRp6cnDR06VO18XPPyH032vfKzXR91T9tsoaGheqmBOc2XVl4fC2aVr1q1air5lDVg1qxZeq2VRIr309GjR6l69erUsWNH+vfff2nbtm3k6elJX331lcotpZQNsPqom9rm02cd1SZfeHg4ESlq68qVK/VWWzXJ9uHDhwzPyes6m1W+48ePq+R79+4dEZHU4KnL2suNmgZWr149Gj58uPS7XC6n7t27U82aNVXuzZDe+fPnqUyZMtJZobzOojzAU/fh+8svv5CXl5fOB37RdtvUq1ePxowZo9MM2WXx8vKiiIgISkpKoitXrtCECRNo0aJFFBwcTESKbdO4cWOdNZbFxcXRsGHD6OLFi7R582aqWLEi/f3330SU+RnJcePG0WeffUY3b94koo+XSOjiLFxO8igFBQWRq6ur1BtYX1mUB75p/fHHH1SuXDm6evWqTrJokyetr776irp3767zQp1VFuX2SElJoSdPntCiRYto6dKlFBoaSkSKngNeXl7S5QC5lZqaSps3b6ahQ4dKfydERIcPH6a6detmeoP3rl27UufOnaXbK6jbj0xcmu73zD6XdF3zssuj7N2empqqcssGJV3WvZz+TeRFzcsuy+nTp4lIcVB79erVPK95RIqalbb3DZGisblx48aZnizy9vamIUOGUFhYGBGRTu8Bl5M8yvf1zp07qWrVqtL9EvMyS6tWrYhI8VmZtqYos/zwww/UuHFjnQ66kJNtU7p0aVqyZAkR6bYHSVZZWrRoQUREHz58oMOHD9O3335Lc+fOld7Ho0ePpi+++EJnmd68eUMDBw6kmzdv0rRp06h+/frSCfrMls81L3/QZN/rq+5pk035PVUfNTAn+TL7u8nLY0Ft8in/XuPi4vRWK5WSkpJo3rx5NG7cOKkGEhGtX7+eGjRoIH2mpJeXdVMX+fKqjmqbTzngjj5rq6bZMtt2eVVntc2nPNkaHh5OR44c0Wnt5UZNA1HuqLp160ofvsoPj8DAQDIxMSEfH59Mn7dixQoqUaIEPX361GBZlAVv0KBBVKVKFYqNjc11lpzkUT7Wu3dvqZebrrrNa5pF3R9eSkoKdezYUTqwyC3la1J+gD5//py6dOlCHTp0yDL7qVOnqFmzZjR+/Hjas2cPNWjQQCcfaNrmSf+87du3U8mSJenatWsGy6LcDpMmTSI3NzeVD2B95lH+LY0dO5aqV6+ukk1fWTL7mxk4cCDVrFlTp5fxPHr0SDqbqHyd169fJwsLC5WbbhN93DZ79+6l2rVr08qVK2nPnj3UrVs3g9/MnGlHm/2ulBc1Lzd58qru5eRvIi9qnqZZ1K1P1zVPuZ6EhASqWrWqNJCZct2nTp0iU1NTqQFamYGIaM2aNVSpUiXav38/7d69m0aOHKmTbaRNnrSf4cr/T5s2jUqXLq2TKxQ0yaLuyhblNurQoQM1bNhQp7VGm32lXG+LFi2ob9++KvPrIktiYqLW24ZI0WDfqFEj6tOnj06yKCkPcG/cuJHlFTRc8/IfTfe9Ul7Wvdxmy6samNt8eV0Xc5pPX7UyvWvXrkl1XLltjh49Sra2thkG/8zrupnbfEp5UUd1mS+vamtusuVlnc1NPnUZclt7TcAMwsTEBAkJCahXrx6uX7+OlJQUmJmZISUlBaVLl0aHDh3g4+Oj8pz4+HgkJCTAx8cHPj4+GD58OMqWLWuwLMnJydiyZQuuXr2K2bNnw9raOtdZtM1DRDAzMwMRwdnZGXK5HPHx8ZDJZHrNYmJiAiICALx9+xaxsbFYt24dAgMDMWvWLJ1kUb4mGxsbAICbmxuaN2+Ox48f4/Tp0wCA1NRUlewAULlyZcTGxmLJkiUYPHgwPDw8IJfLpbz6ygMAkZGRiImJwfbt27F8+XL06dMH3t7eucqRmyxxcXHYtm0bDh8+jMmTJ6NIkSK5zpKTPKampgCAUqVKITY2FpGRkdL+01eWtH8zr169QnR0NNavX49r165h7ty5UkZdqFChAhwcHEBE0novXLiAWrVqwcnJSWVe5XobN26Md+/eYdSoURgwYACKFy8OuVyus0ws72mz34G8q3m5yZNXdU/bv4m8qnmaZkm7vryqecr1xMbGwsPDAw8ePEBKSoq07saNG6Nu3bpYt24dAMXnmPLzonPnzggKCkKXLl3Qr18/ODg46OTzQps8ys/w5ORkJCcnS7Xm559/hrOzs16yrF+/XuU5KSkpSE1NxcaNGxEYGIjZs2frtNZos69MTEyQmpoKa2trWFpaqsyviywxMTEabRtlLf7w4QMSEhKwceNGREdHY/LkyTrJomRnZwcAqFGjBmrWrIkbN27g5s2bAKDy3uSal/9kte/TfzfN67qnTbb077e8rIG5zZfXdTGn+fRVK9OrWbOmVMeVn/H//vsvmjdvDnt7e5V587pu5jYfkHd1VFf58rK25iZbXtbZ3ORLm0FntTdHTaEsW8quyZn14FO2XP/6669Us2ZN6UbQykuDDxw4QAUKFJAu9/7zzz9pzJgxVK5cOSpWrBgtX77cYFl2795N33//Pbm5uZGrqyutWbNG4yx5kUc5f5cuXahjx45a3Z9E11lCQ0Np9uzZVKJECSpatKh0U15dZFE3UMS9e/eobdu21Lt3b7XL3LdvHxUuXJiKFi0qDcpjqDzHjx+ncePGSe/hX375xWBZjh49SiNHjpTewytXrtQ4S17kUc4zcuRIatmypXTPEUNkSUxMpLlz51KJEiXI2dlZ61Eks8qTmpqa4XIr5e+dO3emKVOmqH3ub7/9RhYWFlSiRAmt38dMP3S93//6668c17y8yLN3794c1z1dZ1HOp+ual5Msb968yXHNIyI6dOgQ3blzR7oEL+2y09bgiRMnUqNGjTL0gly5ciUVLVpU5XkbN24kGxsbKlmypNafX7rO89tvv9HIkSOpXLly5OrqqtXnl66zbN68mYYNG0ZlypSh4sWLa33rF13nUc5fv3596tevn0GzPHr0iGbMmEElS5YkFxcXaTA9TXq0ZJUl7d9U2sdOnjxJjRo1okmTJqldJtc846DrfZ/bupeX2XJTA/WRLzd1UR/5clsrc5It/YAxzZo1o7Vr12Z4jCh3dTOv8/n4+OS4juoj35YtW3JVW/Mym3L+nNRZfeR7/PhxjmtvetyoqUOJiYn0yy+/kKmpKRUrVizD43K5PMMXr9DQUGrTpg117dpVZV5fX18qXbq0dGnu06dPadGiRbR7926DZ3n06BHNmjWLdu7cqVGWvMpz48YNIvr4B6XppcN5keX69etSFj8/P9qzZ0+eZFF221Z+YZfL5bRkyRLy8PCgW7duERGpdMe/c+eOVh+ueZFHeW/G169f08aNGzUeES4vs7x8+ZJWrlxJv//+u0ZZ8iqPcl8p59H0/it5/b65du0a/fnnnxpl0UWe0NBQKlKkCF2+fFmaJ+29fK5cuZKrL/csb+TFfleeMHr48KFWNS+v89y/f1+rupeXfxPKTHlV8zTJorxfWGJiolY1j0gxauiUKVPIwcGBvLy8qEyZMtSqVSvpvm3JyckZGl0fPnxI3t7eNG7cOJXpa9asyXBft7///lurUXnzIs+zZ8+IiOju3bv0008/afy+ycssN27coFGjRtH27ds13DJ5v6+IFIMYGCqL8nYK0dHRtGfPHtq1a1eeZFHW9rT3KRw+fDg1bdpUOtHw/v17aX6ueeLKi32v/Cz39/fXuu7pK9u9e/e0PvbTRz7l3422dVFf+ZSdFBISErSulbrIppz24MEDcnR0VBnUJu1tpbStm/rIp/yecfPmTa3qqL7zXb16VevamtfZlPtW+a+mdVZf+ZTfZyMiIrSqvVnhRk0dSUpKohUrVlCjRo1ozJgxZGNjQ3v37iWijD0ibt68SR06dCAPDw9KTk6mzZs3k5ubG/3666/SPNOnT6f69evn6MbgImURLU9+yKI8O6I8i3Hjxg1q2bIlde3alQYMGEDFixeXRssVIY+rq6vWefIyS06+8Ii0r0TKoos8RIqRlBs1akRERK9evaKRI0dSkyZNtM7C9Cev9nvjxo2NPo9IfxMiZSFSjE47ZMgQatKkCR04cICioqJo79695O7uTj///HOGPB07dpTujzZt2jSqWrWqygmXESNGSI8bex6RsoiWJz9kUd57UPl3d/jwYWrcuDGNGDGC+vXrR6VLl85RHqY/ebXvS5Uqla+z5WU+Xf3diLz9cpotbW/VoUOHUqdOnYhIUcfHjBkj3WNR1Hxff/11vs/3qe5bXeVLixs1deivv/6iPXv20Lt37+ibb76RBvxIa+7cuVS4cGEaMGCA1EMqKiqKFi5cSObm5tS2bVvq1q0bOTg45Kr7t0hZRMtjzFnu3LmT4fF///2XSpQoQTKZjJo1a0bHjh3LF3lEyiJaHpGy5DZPbGwstW7dmoYOHUrfffcdmZmZUf369enkyZM5zsP0Q7T9LlIezqJeVFQUDRkyJEOP/bFjx6qMjj1q1CiytbWl/v37S3mCgoJozJgxJJPJqH///tS9e3cqUqRIrs7wi5RHpCyi5TH2LA8ePMiwHD8/PypYsCDJZDJq2rQpHT16NEd5mP7k9b7PzQAeImfTR77cEjlfbrO9e/eOGjZsSHPmzKHBgweTubk51alThy5cuJDrbJwv/2YzhnxpcaNmDpw7d46OHDki/Z7+/kBEROfPnydTU1M6fvw4EX3sZvv48WMKCgpSu9zDhw/Tzz//TIMHD6a7d+8aXRbR8nwKWZYvX04WFhbUqVMnlW7dxpRHpCyi5REpS17lefr0KclkMpLJZNShQwe6ffu2xnmYfoi230XKw1k0z0OkODCOjIzMMG/btm1p9OjR0u937tzJcJmy0m+//UbDhw+nfv360b1794wyj0hZRMvzKWSZPHkyyWQy6t69u1Y1mOmPyPte5GycT7x9e+HCBamOt2/fPlffszlfzvOJnM0Y8mWHGzW14O/vT126dCGZTEbFixdXuf+NkvJMVmxsLHXs2FG6RCvtQUVmzzHWLKLl+RSyKA9Wnz9/rnIvRGPKI1IW0fKIlCUv8yiXvXbtWq3yMP0Qbb+LlIez5C6PMlNqaipFRkZSxYoVpRvEZyb9jeeNMY9IWUTL8ylkUdZgf39/Cg4O1igL0y+R973I2TifePtW+Xl38eJFWrRoUY5uMcX5cp9P5GzGkE9TeTPWfD6UkJCAw4cPQyaT4ffff0d0dDT279+fYT7lEPXW1tYYMWIEzpw5g+vXr8PU1BREpHbZaYe1N7YsouX5VLKYmCj+dN3c3ODs7Gx0eUTKIloekbLkdR4AqFixIoYOHapxHqYfou13kfJwltznUTIxMcH169eRkJCALl26ZLnstDVY03osUh6RsoiW51PJoqzBFStWRLFixbLNwvRL5H0vcjbOJ+a+VX7e1atXD+PHj4eTk5PW2Thf7vKJnM0Y8mklz5tN85GzZ89KI4B/9913VLVqVYqJicl0/qioKGratCl9+eWXRKS4r49yNLT8lEW0PJzFOPKIlEW0PCJlETEP0w/R9rtIeThL7vMoe7f069dP5abxycnJ0mXx+S2PSFlEy8NZmAhE3vciZ+N8+Tcb58u/2Ywhn6a4UTOHHj16RGZmZiqjKarz119/kampKfXr149MTU1pxowZlJCQkG+ziJaHsxhHHpGyiJZHpCwi5mH6Idp+FykPZ8l5nrdv31KZMmXo7NmzFB0dTTNnziQTExPat2+fzrOIlkekLKLl4SxMBCLve5Gzcb78m43z5d9sxpAvK9yo+Z+kpCSN5pPL5dJ9Anr06EENGzbM9EDg3r171KlTJ5LJZNSwYUPas2eP0WURLQ9nMY48ImURLY9IWUTMw/RDtP0uUh7Oor8827ZtI2dnZ+rXrx/Z2tqSp6enVqNSi5RHpCyi5eEsTAQi73uRs3E+3recz/iyGUM+XfrkGzVv3bpFvXr1op49e9LkyZNVboYvl8uz7E579epVMjExkUYRTSswMJDat29PtWvXposXLxpdFtHycBbjyCNSFtHyiJRFxDxMP0Tb7yLl4Sz6y6O8jGnEiBEkk8moXbt2dPLkSaPMI1IW0fJwFiYCkfe9yNk4H+9bzmd82YwhX174ZBs13717RyNGjCAnJyfq378/zZo1ixwcHOirr76iR48eZZh/3759aoehb9WqFXXo0IGio6Pp2LFj5Ovrq7IOY8siWh7OYhx5RMoiWh6RsoiYh+mHaPtdpDycRf95Dh8+TEREd+/epadPnxplHpGyiJaHszARiLzvRc7G+Xjfcj7jy2YM+fLSJ9uouW/fPurUqRMdOXJEmnbmzBlyd3cnPz8/adq6deuodOnSVLBgQTpx4kSG5Rw8eJBkMhmVLl2aZDIZrV+/nlJTU6UuvMaWRbQ8nMU48oiURbQ8ImURMQ/TD9H2u0h5OIth8uTks0KkPCJlES0PZ2EiEHnfi5yN8/G+5XzGl80Y8uWlT6ZR8+HDhyr3Bjh//jzt379f6k5LRJSYmEi2trZ07NgxIiJ68uQJDRs2jFasWEGRkZEqy0tMTKS1a9eSq6srFSlShGbNmpXlaKOiZhEtD2cxjjwiZREtj0hZRMzD9EO0/S5SHs7CeXhf5d9tI1IWpl8i73uRs3E+3recz/iyGUM+fcrXjZqpqak0b948KlmyJNWuXZvq1atHPj4+GeZTtjyfP3+eypUrR8+ePZOmZ9YqHRQURIMHD6aZM2caXRbR8nAW48gjUhbR8oiURcQ8TD9E2+8i5eEsnCcneUTKIloezsJEIPK+Fzkb5+N9y/mML5sx5DOUfNuoGRAQQB07dqQ6derQzp076fLly9S1a1eqUaMGnTlzhoiIUlJSVJ6zatUqatKkicYjRRljFtHycBbjyCNSFtHyiJRFxDxMP0Tb7yLl4Sycx9iziJaHszARiLzvRc7G+fJvNs6Xf7MZQz5DyneNmsqWZz8/P+rbty9dvXpVeuzhw4fUpEkT2rRpk9rnValShX755Zd8mUW0PJzFOPKIlEW0PCJlETEP0w/R9rtIeTgL5zH2LKLl4SxMBCLve5Gzcb78m43z5d9sxpBPBPmiUfPmzZs0f/58On/+vDSq57NnzygwMFBlvvj4eLKzs6MDBw5I05RvkpMnT5KzszNFRUUREZG/vz8tWbKE3rx5Y7RZRMvDWYwjj0hZRMsjUhYR8zD9EG2/i5SHs3Ae3lf5d9uIlIXpl8j7XuRsnI/3LeczvmzGkE80RtuoKZfLKSIiggYMGEDW1tbUsGFDKlGiBNWvX5/ev3+fYV4ixT0FypYtS48fP86wvFmzZtGQIUPowoUL1LZtW5LJZDRgwACKiIgwqiyi5eEsxpFHpCyi5REpi4h5mH6Itt9FysNZOA/vq/y7bUTKwvRL5H0vcjbOx/uW8xlfNmPIJzKjbdQk+jhE/Y0bNyglJYXu3r1Lrq6uNHjwYAoKCiIixQ5X7vQFCxZQ+/btMywnPDxcGrLe3Nyc+vXrRyEhIUabRbQ8nMU48oiURbQ8ImURMQ/TD9H2u0h5OAvn4X2l2zychYlA5H0vcjbOx/uW8xlfNmPIJyqjbtScMGEC1a9fX6W1effu3VSxYkVau3ZthvkrVapEv/76a4bpISEh1LRpU1qyZAnFx8cbfRbR8nAW48gjUhbR8oiURcQ8TD9E2+8i5eEsnMfYs4iWh7MwEYi870XOxvnybzbOl3+zGUM+UQnfqJmSkkILFy6k3r170y+//EIPHjyQHps6dSpVrFiRiIiSk5Ol6e3ataMePXpIrdlEREePHiVXV1eKjo6mpKQkWr58OVWvXp2Cg4ONMotoeTiLceQRKYtoeUTKImIeph+i7XeR8nAWzsP7Kv9uG5GyMP0Sed+LnI3z8b7lfMaXzRjyGSNhGzVTUlJo06ZNVLx4capXrx6NGDGCypcvT+XLl5dukHrq1CkyNTWlhw8fEhFRYmIiERFt2bKFPDw86MKFC0Sk6KI7duxY6tChA82aNYscHR3Jzc2N1q9fT0REqampRpNFtDycxTjyiJRFtDwiZRExD9MP0fa7SHk4C+fhfZV/t41IWZh+ibzvRc7G+Xjfcj7jy2YM+YyZsI2a7969o4YNG9KaNWuknZKcnEy2trbSkPXPnj2jWrVq0ddff01EH3d6UlISWVlZ0T///ENERNHR0VSuXDmSyWRUs2ZN2rdvn9FmES0PZzGOPCJlES2PSFlEzMP0Q7T9LlIezsJ5eF/l320jUhamXyLve5Gzcb7c5RM5G+fLXT6RsxlDPmMmbKMmEdH8+fOlIeyVO7Rp06Y0atQoadqaNWvI3NxcZcSn0NBQcnV1pXXr1hGR4g20cuVKunnzZr7IIloezmIceUTKIloekbKImIfph2j7XaQ8nIXzGHsW0fJwFiYCkfe9yNk4X/7NxvnybzZjyGeshG7UTC8+Pp7c3Nzo8OHD0rT3799TkyZNqEGDBnT06FEiIlq7di15enrm6QhPImURLQ9nMY48ImURLY9IWUTMw/RDtP0uUh7OwnmMPYtoeTgLE4HI+17kbJwv/2bjfPk3mzHkMxbCN2qmvR+An58flStXjl69eqUy/cWLF9SiRQtydXUlT09PsrS0pP/97386v5eASFlEy8NZjCOPSFlEyyNSFhHzMP0Qbb+LlIezcB5jzyJaHs7CRCDyvhc5G+fLv9k4X/7NZgz5jJGMiAiCS01NhampKYYMGYKQkBD8888/0mNEBJlMhpiYGNy+fRvPnz9H9+7dYWFhke+ziJaHsxhHHpGyiJZHpCwi5mH6Idp+FykPZ+E8xp5FtDychYlA5H0vcjbOl3+zcb78m80Y8hkdPTSc6sSHDx+oRIkS5OfnR0REcXFx9Oeff9KjR48+6Syi5eEsxpFHpCyi5REpi4h5mH6Itt9FysNZOI+xZxEtD2dhIhB534ucjYjz5YbI2Yg4X26InI1I/HzGxMTQjaqaOn78OMqWLYvKlStjypQpcHJywsSJEz/5LKLl4SzGkUekLKLlESmLiHmYfoi230XKw1k4j7FnES0PZ2EiEHnfi5wN4Hy5IXI2gPPlhsjZAPHzGRVDt6pqQi6XU5cuXUgmk5GlpSVVrVpVGs7+U84iWh7OYhx5RMoiWh6RsoiYh+mHaPtdpDychfMYexbR8nAWJgKR973I2Yg4X26InI2I8+WGyNmIxM9nbMwM3aiqCZlMhipVqiAmJgbz58+Ht7c3ZxEwD2cxjjwiZREtj0hZRMzD9EO0/S5SHs7CeYw9i2h5OAsTgcj7XuRsAOfLDZGzAZwvN0TOBoifz9gYxUBBACCXy2FiIsbV8iJlAcTKw1kyJ1IekbIAYuURKQsgXh6mH6Ltd5HycJbMcZ7MiZQFECsPZ2EiEHnfi5wN4Hy5IXI2gPPlhsjZAPHzGROjadRkjDHGGGOMMcYYY4wxAOCmYcYYY4wxxhhjjDHGmFHhRk3GGGOMMcYYY4wxxphR4UZNxhhjjDHGGGOMMcaYUeFGTcYYY4wxxhhjjDHGmFHhRk3GGGOMMcYYY4wxxphR4UZNxhhjjDHGGGOMMcaYUeFGTcYYY4wxxhhjjDHGmFHhRk3GGGOMMcYYY4wxxphR4UZNxhhjjDHGGGOMMcaYUeFGTcYYY4wxxhhjjDHGmFHhRk3GGGOMMcYYY4wxxphR4UZNxhhjjDHGGGOMMcaYUeFGTcYYY4wxxhhjjDHGmFHhRk3GGGOMMcYYY4wxxphR4UZNxhhjjDHGGGOMMcaYUeFGTcYYY4wxxhhjjDHGmFHhRk3GBHb37l1069YNpUuXhqWlJYoXL46WLVti5cqV0jxubm6QyWTSj7OzMxo1aoR9+/YBABYsWACZTIajR4+qXUe7du1QsGBBBAcH6+U1McYYY+pwzWOMMfYp4brHWO7JiIgMHYIxltGFCxfQrFkzlCpVCt988w1cXFwQFBSES5cuISAgAE+fPgWgKHSFChXC2LFjAQDBwcFYt24dnj17hjVr1mDQoEGoWbMmYmNjce/ePVhZWUnr2Lt3L3r06IHVq1fj+++/N8jrZIwxxrjmMcYY+5Rw3WNMN7hRkzFBtW/fHlevXsXjx4/h4OCg8tjbt2/h7OwMQFHoqlatioMHD0qPh4aGoly5cihevDgePXqES5cuoWHDhpg4cSLmzZsHAIiOjkbFihVRqlQpnD9/HiYm3HGbMcaYYXDNY4wx9inhuseYbvA7mzFBBQQEoEqVKhmKHACpyGXGxcUFlSpVwvPnzwEA9erVw7Bhw7BkyRI8ePAAADBlyhS8ffsW69ev5yLHGGPMoLjmMcYY+5Rw3WNMN/jdzZigSpcujevXr+PevXtaPzc5ORlBQUEoXLiwNG3+/PlwcnLC0KFDcf36daxevRrjxo1DtWrVdBmbMcYY0xrXPMYYY58SrnuM6QY3ajImqHHjxiEuLg5eXl5o0KABJk6ciGPHjiE5OTnDvMnJyXj37h3evXuHO3fuoF+/fnjz5g26d+8uzWNvb48VK1bg3LlzaNWqFUqXLo1p06bp8yUxxhhjanHNY4wx9inhuseYbvA9NRkT2NWrVzF//nwcPXoUcXFxAAAnJyds3LgRHTt2BKC4z8qLFy9UnmdqaorevXtj3bp1KjeLBhT3b/H19cXhw4fRpk0b/bwQxhhjLBtc8xhjjH1KuO4xlnvcqMmYEUhKSsLt27exb98+LF26FKmpqbh16xYqV64MNzc3uLi4YM6cOZDJZLC2tkalSpXU3p8FAGbMmIGZM2ciLCwMRYoU0e8LYYwxxrLBNY8xxtinhOseYzlnZugAjLHsFShQALVr10bt2rVRoUIFDBgwAHv37sX06dMBAEWKFEGLFi0MnJIxxhjLPa55jDHGPiVc9xjLOb6nJmNGplatWgCAkJAQAydhjDHG8hbXPMYYY58SrnuMaYcbNRkT1MmTJ6Hu7hC+vr4AAA8PD31HYowxxvIE1zzGGGOfEq57jOkGX37OmKBGjhyJuLg4dO7cGRUrVkRSUhIuXLiA3bt3w83NDQMGDDB0RMYYY0wnuOYxxhj7lHDdY0w3uFGTMUEtWbIEe/fuha+vL9avX4+kpCSUKlUK33//PaZMmZLpzaEZY4wxY8M1jzHG2KeE6x5jusGjnzPGGGOMMcYYY4wxxowK31OTMcYYY4wxxhhjjDFmVLhRkzHGGGOMMcYYY4wxZlS4UZMxxhhjjDHGGGOMMWZUuFGTMcYYY4wxxhhjjDFmVLhRkzHGGGOMMcYYY4wxZlS4UZMxxhhjjDHGGGOMMWZUuFGTCeXNmzfo1q0bChcuDJlMhmXLlgEAnjx5glatWqFgwYKQyWTYv3+/QXMyxhhjucU1jzHG2KeE6x5jTNe4UZPpzK+//oqtW7fmahljxozB0aNHMWnSJPj4+KBNmzYAgG+++QZ3797F3Llz4ePjg1q1auV4Hf/++y8GDhyIChUqwNraGu7u7vj2228REhKidv4LFy7gs88+g7W1NVxcXDBq1CjExMSozHP16lWMGDECVapUgY2NDUqVKoUePXrg8ePHKvPJ5XJs3boVHTt2RMmSJWFjY4OqVatizpw5SEhI0Pg1zJ07Fx07dkTRokUhk8kwY8YMtfM9evQIY8aMQYMGDWBpaQmZTIbAwECN16O0adMmVKpUCZaWlihfvjxWrlyZYZ6//voLX331Fdzd3WFtbQ0PDw+MHTsWERERGq/H398fbdq0ga2tLRwdHdG3b1+EhYVlmE8ul2PRokUoU6YMLC0t4enpiV27dmn1mg4cOABvb29YWlqiVKlSmD59OlJSUjLMFxERgSFDhsDJyQk2NjZo1qwZbty4ofF6tMmq6etnjBke17z8V/OCgoIwc+ZM1KlTB4UKFUKRIkXQtGlTHD9+PMO82m5XdV6/fo0ePXrAwcEB9vb2+PLLL/Hs2TO182pSh7OiyX4FgMTEREycOBGurq6wsrJC3bp14efnp9W6NM2qzetnjBke1z3x6p4ujr/WrFmD7t27o1SpUpDJZOjfv7/a+bjuZY7rnoERYzpSpUoVatKkSa6WUbRoUerTp4/KtLi4OAJAkydPztWylWrWrEllypShCRMm0IYNG2jSpElkZ2dHRYsWpZCQEJV5b968SZaWllSjRg1as2YNTZ48mSwsLKhNmzYq83Xt2pVcXFxo5MiRtGHDBpo9ezYVLVqUbGxs6O7du9J80dHRBIDq1atHc+bMofXr19OAAQPIxMSEmjZtSnK5XKPXAIBcXFyodevWBICmT5+udr4tW7aQiYkJVa1alby8vAgAPX/+XKvttXbtWgJAXbt2pfXr11Pfvn0JAC1YsEBlvsKFC1O1atVo6tSptGHDBho1ahQVKFCAKlasSHFxcdmuJygoiIoUKUJly5al5cuX09y5c6lQoUJUvXp1SkxMVJn3p59+IgA0ePBgWr9+PbVv354A0K5duzR6Tb6+viSTyahZs2a0fv16GjlyJJmYmNCwYcNU5ktNTaUGDRqQjY0NzZgxg1atWkWVK1cmOzs7evz4sUbr0jSrNq+fMWZ4XPPyX81buXIlWVlZUa9evWjVqlW0bNky8vb2JgC0efNmlXm12a7qREdHU/ny5cnZ2ZkWLlxIv/zyC5UsWZJKlChB7969U5lX0zqcGU33KxFRz549yczMjMaNG0fr1q2j+vXrk5mZGZ09e1ajdWmaVZvXzxgTA9c98epebo+/iIhKly5Njo6O1KZNGzIzM6NvvvlG7Xxc99Tjumd43KjJdEYXhU4mk9Hw4cNVpr148YIA0OLFi3O1bKXTp09Tampqhmnqimnbtm2pWLFiFBkZKU3bsGEDAaCjR49K086fP5+h4enx48dkYWGhUrgTExPp/PnzGTLNnDmTAJCfn59Gr0F5kBYWFpZloXv//j1FRUUREdHixYu1PsCLi4ujwoULU/v27VWm9+nTh2xsbCg8PFyadvLkyQzP37ZtGwGgDRs2ZLuu7777jqysrOjFixfSND8/PwJA69atk6a9evWKzM3NVd4ncrmcGjVqRCVKlKCUlJRs11W5cmWqXr06JScnS9MmT55MMpmM/P39pWm7d+8mALR3715p2tu3b8nBwYF69eqV7Xq0yarp62eMiYFrXv6reffu3aOwsDCVaQkJCVSxYkUqUaKEynRttqs6CxcuJAB05coVaZq/vz+ZmprSpEmTpGna1OHMaLpfL1++nOG9Fx8fT2XLlqX69etnux5tsmr6+hlj4uC6J17dy+3xFxFRYGCg1NhqY2OTaaMm172MuO6JgRs1P3GvXr2igQMHUrFixahAgQLk5uZGw4YNkz60p0+fTuo69G7ZskXlYKF06dIEQOUnbdELCAigbt26UaFChcjKyorq1q1LBw8ezLC89D/K9af9KV26dJ5sC0dHR+rSpYv0e2RkJJmZmdH48eNV5ktMTCRbW1saNGhQtsv09vYmb2/vbOe7c+cOAaAVK1ZolTm7QpdWTg7wDh06RADo0KFDKtMvXLhAAMjHxyfL50dFRREA+vHHH7Ndl7OzM3Xv3j3D9AoVKlDz5s2l31evXk0A6P79+yrz7dy5kwConFWLiIggf39/ioiIkKbdv3+fANDq1atVnv/69WsCQLNnz5amde/enYoWLZqhgA8ZMoSsra0pISFBmhYcHEz+/v6UlJSUo6yavn7GWM5xzfuIa57mfvzxRwIgNZhmJf12zUzt2rWpdu3aGaa3atWKypYtK/2uTR2OjY0lf39/lYZZbfbr+PHjydTUVOUgkIho3rx5BIBevnwpTQsLCyN/f3+KjY3NUVZNXz9jLHe47n2U3+uekjbHX+ll1aiZGa57XPcMje+p+QkLDg5GnTp18Pvvv+Orr77CihUr0LdvX5w+fRpxcXFaLWvZsmUoUaIEKlasCB8fH/j4+GDy5MkAFDeEbtCgAY4ePYrvv/8ec+fORUJCAjp27Ih9+/YBABo3bgwfHx8AQMuWLaVldOnSBUuXLgUA9OrVCz4+PtINpZOTk/Hu3TuNfuRyeZb5Y2JiEBMTgyJFikjT7t69i5SUlAz3dClQoAC8vLxw8+bNLJdJRHjz5o3KMjMTGhoKABrNq0/K15h+G9SsWRMmJibZbgNNX9fr16/x9u1btffPqVOnjsp6bt68CRsbG1SqVCnDfGkzA8C+fftQqVIl6X2W1WtydXVFiRIlMqzL29sbJiaqH5V16tRBXFycyn10Jk2ahEqVKuH169daZ9Xm9TPGcoZr3kdc87QTGhoKa2trWFtbZzmfuu2qjlwux507dzL9zA8ICEB0dDQA7erwlStXUKlSJaxatUqaps1+vXnzJipUqAB7e/sMmQDg1q1b0rRVq1ahUqVKuHLlisrzNcmqzetnjOUc172PPqW6p891cd3juicCM0MHYIYzadIkhIaG4vLlyyp/YLNmzQIRabWsTp06YcqUKShSpAi+/vprlccWLFiAN2/e4OzZs/jss88AAIMHD4anpyd+/PFHfPnll3B3d4e7uzv69u2LChUqqCzD3t4eY8aMgbe3t8r08+fPo1mzZhrle/78Odzc3DJ9fNmyZUhKSsJXX30lTVPe9LhYsWIZ5i9WrBjOnj2b5Tp37NiB169fY9asWdnmW7RoEezt7dG2bdts59WnkJAQmJqawtnZWWV6gQIFULhwYQQHB2f5/IULF8LU1BTdunXLdj1A5ts6PDwciYmJsLCwQEhIiHTT7PTzAcg2U3brSvv8kJAQNG7cWO18ynVVq1Yty3VpklWb188YyxmueR9xzdPc06dP8ddff6F79+4wNTXNcl5121Ud5Wd6ZtsaUNQHDw+PXNdhbfZrSEhItpmyW5cmWbV5/YyxnOO699GnVPc0Pf7SBa57XPdEwI2anyi5XI79+/ejQ4cOas8YpG+EyQ1fX1/UqVNHKnIAYGtriyFDhmDSpEl48OABqlatqvVyq1evrvHIZC4uLpk+dubMGcycORM9evTA559/Lk2Pj48HALUNSZaWltLj6jx8+BDDhw9H/fr18c0332SZbd68eTh+/Dh+/fVXODg4ZPNK9Cs+Ph4FChRQ+1h222Dnzp3YtGkTJkyYgPLly2e7HiDzba2cx8LCQvo3q/mU+vfvn2EEv+zWFRUVpTKvpuvaunVrhhEhNX2+Nq+fMaY9rnkfcc3TXFxcHLp37w4rKyssWLAgy3kz267qaPqZr/xX0zrctGnTDA0V2uxXbWrejBkzMozGq2lWbV4/YyxnuO599CnVPW2Ov3KL6x7XPVFwo+YnKiwsDFFRUTkqMNp68eIF6tatm2G68pLcFy9e5ChHoUKF0KJFi1xle/jwITp37oyqVati48aNKo9ZWVkBABITEzM8LyEhQXo8vdDQULRv3x4FCxbEH3/8kWXPjt27d2PKlCkYNGgQvvvuuwzLSatgwYKZrjO3wsLCkJqaKv1ua2sLW1tbWFlZISkpSe1zstoGZ8+exaBBg9C6dWvMnTs32/Vnt63TzmNlZaXRfDldV9rn62Jdmr6mrDJpsi7GWOa45ilwzVPIrOallZqaip49e+LBgwc4fPgwXF1dM11eVttVHW1rXk7qsKbr0nXN0yQr1zzG8h7XPYVPqe5ldfylSd3TBte9j8/numd43KjJspTZWby0H4qGkpSUhPDwcI3mdXJyylBwgoKC0KpVKxQsWBC+vr6ws7NTeVzZFVzZhT2tkJAQtQc4kZGRaNu2LSIiInD27NksD4L8/PzQr18/tG/fHmvXrs3wePru6Vu2bMnQ61BXateujRcvXki/T58+HTNmzECxYsWQmpqKt2/fqnSrT0pKwvv379W+vtu3b6Njx46oWrUq/vjjD5iZZf8xk922dnR0lM5sFStWDCdPngQRqbw/lc/NapunX1fJkiUzrEt5DxXlvJll0nRdmmTV5vUzxvIO17xPu+alNXjwYBw8eBA7duzIsgdKdttVHeVnuib1JSd1OC1t9muxYsVU7gudWaas1qVJVm1eP2Msb3Hdyx91L7vjL03qnqa47qmui+ue4XGj5ifKyckJ9vb2uHfvXpbzFSpUCAAQERGh0l0+7YeiUmZFsXTp0nj06FGG6Q8fPpQez4kLFy7k+D4r79+/R6tWrZCYmIh///1X7f0tqlatCjMzM1y7dg09evSQpiclJeHWrVsq0wDFWZYOHTrg8ePHOH78OCpXrpxpnsuXL6Nz586oVasW9uzZo7bhL/3lFlWqVNHotebEjh07VLq8u7u7AwC8vLwAANeuXUO7du2kx69duwa5XC49rhQQEIA2bdrA2dkZvr6+Gp8BLF68OJycnHDt2rUMj125ckVlPV5eXti4cSP8/f1VtvHly5dVMmcm7WtK24AZHByMV69eYciQISrznj17FnK5XGWwoMuXL8Pa2hoVKlTIdl2aZNXm9TPGtMc1j2teWpnVPKXx48djy5YtWLZsGXr16pXpcjTZruqYmJigWrVqaj/zL1++DHd3d+kgUds6nJ42+9XLywsnT55EVFSUyqAJOamvWWXV5vUzxnKG696nU/c0Of7Kru5piuueKq57gjDUsOvM8Pr160cmJiZ09erVDI/J5XIiIjp48CABoL///lt6LCYmhkqVKkUA6Pnz59L0unXrUvXq1TMs64cffiAAdOHCBZVluLu7k5ubG6WmpkrTAdDw4cNVnv/8+XMCQIsXL1aZHh4eTn5+fhr9xMfHq6y7Tp06ZGdnR9euXctyG7Vp04aKFStGUVFR0rSNGzcSADp8+LA0LSUlhTp27EhmZmZ06NChLJf54MEDKly4MFWpUoXCw8OznDc7YWFhBICmT5+e7byLFy/OsM+yExcXR46OjvTFF1+oTP/666/J2tqa3r9/L00LCQkhd3d3cnV11WodSsOGDSMrKyt6+fKlNO348eMEgNasWSNNCwoKInNzc5X3iVwup0aNGlHx4sUpJSVFmh4REUH+/v4UERGhsq6KFStS9erVVeadMmUKyWQyevDggTTt999/JwC0d+9eaVpYWBg5ODjQV199pbLM4OBg8vf3p6SkpBxl1fT1M8Zyhmse1zxNLFq0iADQzz//nOV82mxXdRYsWEAAVN6PDx8+JFNTU5o4caI0TZs6HBsbS/7+/hQWFqYyr6b79dKlSxneewkJCVSuXDmqW7euyjLDwsLI39+fYmNjc5RV09fPGMs5rnv5v+7l9vgrPRsbG/rmm2/UPsZ1j+ueqGREWg59xvKN169fo1atWoiKisKQIUNQqVIlhISEYO/evTh37hwcHByQnJyMcuXKIS4uDuPHj4epqSk2b94MKysrXL9+XeWs2PDhw7FmzRrMmjUL5cqVg7OzMz7//HO8efMG1atXR0JCAkaNGgVHR0ds27YNt2/fxp9//onOnTtLmWQyGYYPH45Vq1ZJ0wIDA1GmTBksXrwY48aNy/Xr7tSpE/7++28MHDgww9k/W1tbdOrUSfr9xo0baNCgASpXrowhQ4bg1atX+N///ofGjRvj6NGj0nw//PADli9fjg4dOmQ4qwdAGskvOjoaVapUwevXrzFv3jwUL15cZb6yZcuifv362b4GHx8fvHjxAnFxcZg/fz6aNWsmXR7Xt29f6YxoZGQkVq5cCUAxguCRI0cwduxYODg4wMHBASNGjMh2Xb/++iuGDx+Obt26oXXr1jh79ix+++03zJ07Fz///LM0n5eXF27fvo0JEyZkGBG8aNGiaNmyZZbrCQoKQo0aNeDg4IDRo0cjJiYGixcvRokSJXD16lWVy68nTJiAxYsXY8iQIahduzb279+PQ4cOYceOHejdu7c039atWzFgwIAMl3McPHgQHTt2RLNmzdCzZ0/cu3cPq1atwqBBg7B+/XppvtTUVHz22We4d+8exo8fjyJFiuDXX3/Fy5cvcfXqVZUR6vr3749t27ZlOFOsaVZtXj9jTHtc87jmZVfz9u3bhy5duqB8+fKYNm1ahsdbtmyJokWLAtBuu6oTHR2NGjVqIDo6GuPGjYO5uTl++eUXpKam4tatW3BycpLm1bQOnzp1Cs2aNctwWaGm+xUAevTogX379mHMmDEoV64ctm3bhitXruDff/9F48aNpflmzJiBmTNn4uTJk2jatKnWWbV5/YyxnOG6l//rXm6PvwDgn3/+we3btwEAs2fPRpUqVdClSxcAQMeOHeHp6QmA6x7XPYEZulWVGdaLFy+oX79+5OTkRBYWFuTu7k7Dhw+nxMREaZ7r169T3bp1qUCBAlSqVCn65ZdfaMuWLRnO3oWGhlL79u3Jzs6OAFCTJk2kxwICAqhbt27k4OBAlpaWVKdOHTp48GCGPNDi7F1OlS5dmgCo/SldunSG+c+ePUsNGjQgS0tLcnJyouHDh6uc9SEiatKkSabLTPtnpnwtmf1kdmYsvazWd/LkSY3Wp+61Zmb9+vXk4eFBBQoUoLJly9LSpUulM7xKWb2utO+FrNy7d49atWpF1tbW5ODgQH369KHQ0NAM86WmptK8efOodOnSVKBAAapSpQpt3749w3zK9+mWLVsyPLZv3z7y8vIiCwsLKlGiBE2ZMkWll6VSeHg4DRo0iAoXLkzW1tbUpEkTtWe8v/nmG7W9gjTNqs3rZ4zlDNc8rnlZmT59epZ5065L2+2qTlBQEHXr1o3s7e3J1taWvvjiC3ry5InaeTWpwydPnsy0R48m+5WIKD4+nsaNG0cuLi5kYWFBtWvXpiNHjmS6rdJuE22yavv6GWM5w3Uvf9c9XRx/KY9h1P2kPYbiusd1T1TcU5MxxhhjjDHGGGOMMWZUTLKfhTHGGGOMMcYYY4wxxsTBjZqMMcYYY4wxxhhjjDGjwo2ajDHGGGOMMcYYY4wxo8KNmowxxhhjjDHGGGOMMaPCjZqMMcYYY4wxxhhjjDGjwo2ajDHGGGOMMcYYY4wxo2Jm6AD6IpfLERwcDDs7O8hkMkPHYYwxlgNEhOjoaLi6usLEhM/LZYXrHmOMGT/R696aNWuwZs0aBAYGAgCqVKmCadOmoW3btgCAgIAAjBs3DufOnUNiYiLatGmDlStXomjRotIywsPDMXLkSPzzzz8wMTFB165dsXz5ctja2mqcg2seY4wZv5zUPBkRUR7nEsKrV69QsmRJQ8dgjDGmA0FBQShRooShYwiN6x5jjOUfota9f/75B6ampihfvjyICNu2bcPixYtx8+ZNuLm5wdPTE9WrV8fMmTMBAFOnTkVwcDAuXbokHbC2bdsWISEhWLduHZKTkzFgwADUrl0bO3fu1DgH1zzGGMs/tKl5n0yjZmRkJBwcHBAUFAR7e/scLSM5ORnHjh1Dq1atYG5uruOExp1HpCyi5REpi2h5RMoiWh6RsoiUJyoqCiVLlkRERAQKFixosBzGIL/VPZGyiJZHpCyi5REpi2h5RMoiWh6Rshhj3XN0dMTixYtRsmRJtG3bFh8+fJDqUGRkJAoVKoRjx46hRYsW8Pf3R+XKlXH16lXUqlULAHDkyBG0a9cOr169gqurq9p1JCYmIjExUfo9MjISpUqVwvPnz2FnZ5ej3MnJyTh58iSaNWtm8P2uDufLOZGzAZwvN0TOBnA+bUVHR6NMmTJa1bxP5vJz5WUI9vb2uTq4s7a2hr29vRA7XKQ8ImURLY9IWUTLI1IW0fKIlEXEPHxpWfbyW90TKYtoeUTKIloekbKIlkekLKLlESmLkjHUvdTUVOzduxexsbGoX78+AgICIJPJYGFhIc1jaWkJExMTnDt3Di1atMDFixfh4OAgNWgCQIsWLWBiYoLLly+jc+fOatc1f/58qfdnWhcvXoS1tXWOX4O1tTUuX76c4+fnNc6XcyJnAzhfboicDeB82oiLiwOgXc37ZBo1GWOMMcYYY4zp1t27d1G/fn0kJCTA1tYW+/btQ+XKleHk5AQbGxtMnDgR8+bNAxHhp59+QmpqKkJCQgAAoaGhcHZ2VlmemZkZHB0dERoamuk6J02ahB9//FH6XdmjtVWrVrk6kefn54eWLVsK05idFufLOZGzAZwvN0TOBnA+bUVFRWn9HG7U/E9qaiqSk5OznCc5ORlmZmZISEhAamqqnpIZRx6RsuQ2j7m5OUxNTfMoGWOMGR4RISUlJdvPR5E+20XKIlqe3GQxNTWFmZmZUfQCY4yJycPDA7du3UJkZCT++OMPfPPNNzh9+jQqV66MvXv34rvvvsOKFStgYmKCXr16wdvbO9eDHllYWKj0AFUyNzdXe2CuybFeamoqzMzMkJqaKuSgTJwv55TZ5HI5TExMhD3Wy+z9KwqR84mcDeB82uTQFjdqAoiJicGrV6+Q3e1FiQguLi4ICgoS4su/SHlEypLbPDKZDCVKlNBqxEXGGDMWSUlJCAkJkS7vyIpIn+0iZREtT26zWFtbo1ixYihQoEAepGOM5XcFChRAuXLlAAA1a9bE1atXsXz5cqxbtw6tWrVCQEAA3r17BzMzMzg4OMDFxQXu7u4AABcXF7x9+1ZleSkpKQgPD4eLi4tO8hnrsV56nC/nlNlevnwJExMTPtZjLB/55Bs1U1NT8erVK1hbW8PJySnLD2C5XI6YmBjY2toKcfZJpDwiZclNHiJCWFgYXr16hfLlywt7Fo8xxnJCLpfj+fPnMDU1haurKwoUKGA0dU+kLKLlyU3NS0pKQlhYGJ4/f47y5csb/LUwxoyfXC5XGcQHAIoUKQIAOHHiBN6+fYuOHTsCAOrXr4+IiAhcv34dNWvWlOaRy+WoW7durrMY87Feepwv55TZbGxs8P79ez7WYywf+eQbNZOTk0FEcHJygpWVVZbzyuVyJCUlSTe4NjSR8oiUJbd5nJycEBgYiOTkZC50jLF8JSkpCXK5HCVLltRoIAWRPttFyiJantxksbKygrm5OV68eCEtgzHGNDVp0iS0bdsWpUqVQnR0NHbu3IlTp07h6NGjAIAtW7agUqVKcHJywsWLFzF69GiMGTMGHh4eAIBKlSqhTZs2GDx4MNauXYvk5GSMGDECPXv2zHTkc20Y87Feepwv55TZrKys+FiPsXzmk2/UVBKtizwzHH4vMJY3oqOjYW1tzV8gBSDawQYzLH4/MMZy6u3bt+jXrx9CQkJQsGBBeHp64ujRo2jZsiUA4NGjR5g0aRLCw8Ph5uaGyZMnY8yYMSrL2LFjB0aMGIHmzZvDxMQEXbt2xYoVK3SaU9Pv9ykpKTpdLxMPH+sxlr9woyZjjDG9mDRpEo4cOYLly5ejffv2ho7DGEuDiDBy5Eg8efIEjRs3RpMmTVC/fn2NevQyxj5dmzZtyvLxBQsWYMGCBVnO4+joiJ07d+oyltbkcjlevHiByMhI2NnZqR2EiDHGmHi4UZMxxliee/fuHTZv3oz4+PhsL/9ijOlfUlIS/Pz88OLFC5w+fRqzZ8+Gubk5ateujSZNmqBJkyZo0KAB7OzsDB2VMcZ0Ti6XIzY2FikpKQgICICHhwdfWcIYY0aArzcSVHR0NGxtbTFo0CCN5j916hSOHDmS6/UGBgbCwcEh08dv376tUQ+rgwcPYsiQIbnOwxjLH1avXo34+Hh4e3ujWbNmho7DBMR1z7BSU1MBAKVLl0bv3r1RvHhxJCcn48KFC5g/fz7atGmDQoUKoU6dOhg/fjwOHjyIiIgIw4ZmjDEdMTMzQ7ly5WBqaoq4uDg8e/Ys29HSc4NrHmOM6Qb31EyDiBAXF5fp48ozeKampjm+/5S1tbVG9/HYvXs3atasib/++gvLly+Hra1tlvOfOnUKERERaNOmTY5yaWrSpEmYNGlStvN98cUXmD59Op48eYLy5cvnaSbGmNji4uKwatUqAMCECRP4XkYC4bqXvU+l7ikbNb29vbFjxw4QEZ49e4YzZ87g9OnTOH36NAIDA3H16lVcvXoVS5YsgUwmg5eXl3S5euPGjVG4cGEDvxLGGFNPk5pXsGBBBAcHIz4+HqmpqShRooTW31s0qXs5qXkfPnxAgwYNtMqirU+l5jHG8g9u1EwjLi4u24KSWzExMbCxscl2vk2bNmHq1KlYt24ddu/eLZ3Fi4yMxNixY3Hp0iWYmpqiWrVq+PHHH7F27Vqkpqbi1KlT6NKlC/r16wcvLy+pF0VMTAzs7OykM459+vTBo0ePkJSUhJIlS2LTpk1wcXHJMtPLly9x//59NGrUCAAwYsQIuLq64ueffwYAPHnyBF26dMHz589hZmaGHj16YOPGjVi4cGFONxdjLB/Ytm0b3r17Bzc3N3Tt2tXQcVgaxlb3AKB27doYPXo01z0dUzZqFitWDIBiIIWyZcuibNmyGDBgAADF9lA2cJ45cwZPnjzBzZs3cfPmTSxfvhwAULVqVTRq1Aiurq553uDMGGPa0EfNAzSre5oe69WsWROjRo2Sat6JEyfQrVs3fPPNN3qveY8ePUKLFi3yRc1jjOUf3KgpoAcPHiAoKAitW7dGSkoKFixYIBW6H374AVZWVrhz5w4A4NmzZ3B3d8ewYcMQERGBZcuWAVBcWpCVZcuWwcnJCYDiBt4zZszA2rVrs3zO6dOnUbt2ben3kSNHonXr1pg4cSJkMhk2bdqEwYMHw8xM8baqX78+fvzxx5xsAsZYPpGamor//e9/AIAff/xR+nxgLC1N6t6tW7cQExODxMREFC1alOuejqVv1FSnVKlS6Nu3L/r27QsACA4OlnpynjlzBg8ePMC9e/dw7949AMCWLVswYMAA9O/fHyVKlMj7F8EYY0ZA02M9ExMThIWFwcnJCcOGDcOHDx8wc+ZM2Nvb4+XLl1muQ9c1z9TUFL/++iuGDBmSL2oeYyz/4KPLNKytrRETE5Pp43K5HFFRUbC3t8/VZXjZ2bRpE/r16wdTU1O0a9cOQ4cOhb+/PypVqoSDBw/i8uXLMDExgVwuR5EiRXKUY+fOnfDx8UFCQgISEhI0Ws6rV69QtGhR6XcPDw9UrlwZf//9N1q2bIk///xTamwFABcXF7x69SpH+Rhj+cO+ffsQEBAAR0dHDBw40NBxWDrGVvcASAdp2uK6lzVNGjXTc3V1Rc+ePdGzZ08AwNu3b3H27Fn4+vpi165dePbsGaZOnYrp06ejVatWGDRoEDp06MCjCjPGDEKbmieTyRAUFIR3797BxMQE5cuX1+iqA+V6smKMNa9169bYtWsX7t69Kz1uzDWPMZZ/cKNmGjKZLMtiJZfLkZqaChsbmxwf3GUnOTkZPj4+MDc3x86dOwEoLpXYtGkTlixZovFyzMzMpAMUAEhISJD+f+7cOaxYsQIXL16Es7MzDhw4gGnTpmW7TGtra5XlAMDo0aOxcOFCvHnzBk2bNlUphAkJCTzKMWOfMCLCokWLAADDhw/X+GCA6Q/Xvax9SnVPue1cXV1zvAxnZ2d07doVHTt2ROvWrREbG4tt27bh9OnTOHLkCI4cOYLChQvj66+/xqBBg1CtWjVdxWeMsWxpW/MqVqyIp0+fIjIyEsHBwahUqVKuT8oYa80LCwtDy5Yt803NY4zlHzz6uWAOHDgAd3d3vH79GoGBgQgMDMSlS5fg4+OD5ORkdOzYEUuWLIFcLgcAvHv3DgBgb2+PyMhIaTkuLi4gIjx48AAA8Ntvv0mPffjwAXZ2dihcuDCSkpKwbt06jbJ5enri0aNHKtNatWqF0NBQzJs3D4MHD1Z5zN/fH9WrV9d+IzDG8oUzZ87g6tWrsLS0xIgRIwwdR2/WrFkDT09P2Nvbw97eHvXr18fhw4elxwMCAtC5c2c4OTnB3t4ePXr0wJs3b9QuKzExEV5eXpDJZLh165aeXoF+aVv3wsLCAHDd07WUlBQA2vXUzIqFhQW+/vprnDp1Ck+ePMHPP/8MV1dXvH//HsuXL4enpydq166NtWvX8ijqjDEhyWQyuLu7w9raGikpKXjy5In0WZlTxlrz5syZk+G7nDHXPMZY/sGNmoLZtGkT+vTpozKtUqVKKF68OP755x8sXboUiYmJqFatGry9vTF79mwAQOfOnXHr1i14eXlh1qxZMDMzw8qVK/HFF1+gdu3aSE5OlpbXpk0beHh4wMPDA40aNYKXl5dG2T777DO8evUK4eHh0jSZTIZBgwbB2dkZderUUZn/yJEj6NatWw63BGPM2C1evBgA0L9/fzg7Oxs4jf6UKFECCxYswPXr13Ht2jV8/vnn+PLLL3H//n3ExsaiVatWkMlkOHHiBM6fP4+kpCR06NBBOoBJa8KECbnqOWcMNK171atXR6NGjTB58mQAXPd0iYik95+uGjXTKleuHObOnYuXL1/i0KFD6Nq1K8zNzXHt2jV89913KFasGL7++mucPHlS7d8BY4wZiqmpKcqVKwdzc3MkJCQgICAgV59T2hzreXl5SYP0dO7cGbdv30ajRo0we/Zsg9S8+vXrq8xvrDWPMZa/8OXngvH19VU7/caNG9L/N23aBODjfV8AoEyZMrh586bKcwYMGCCNWAoAEydOBACYm5tj9+7dKvPOnTsXAODm5pZpjwlzc3MMHz4cmzZtwvjx46XpJ0+exKhRo1TmfffuHa5fv67xmcH8bMmSJThz5gxKliwJb29vQ8cRyoEDB3D+/Hm0bdvW0FGYjj148ACHDh2CTCb75G4i36FDB5Xf586dizVr1uDSpUtSz4ybN2/C3t4egGJ0+EKFCuHEiRNo0aKF9LzDhw/j2LFj+PPPP1V6emYmMTERiYmJ0u/K+pCcnCwd7CQnJ0sNWJoclClHUU3b6KVrBw8eBIAMy7927Zr0/w0bNoCIEB0dDTs7O8jlcpQuXRrXr1+X5pHL5fjmm2/wzTffSNPGjx8PuVwOU1NT7Nq1S2X5s2fPhlwuR6lSpRAeHq729ZmamuL777/Hxo0bMW7cOGn6iRMnpLqn3DbKurdmzRq9N8zldj8p3x+mpqZwcHBQOTjOibTvt/RatmyJli1bIiwsDDt37sSWLVvw4MED7NixAzt27IC7uzv69euHvn37omTJkrnKkV0WQxApj0hZALHyiJiFGU6BAgVQvnx5PHz4ENHR0Xjx4gXc3Nwgk8m0XpY2x3pplSlTBtevX5fu+Qno91jvhx9+UJmXj/UYY6LgRk2mldGjR0uF9tq1a+jZsycqV66M3r17IzY2VpovICAAa9euRYECBQwVVQgHDhyQzrAeOXIE7dq1w8SJE9GoUaMcfRHKTw4fPiyd3XV3d/+kLk/+FCjvC9W5c2eUL1/ewGkMJzU1FXv37kVsbCzq16+PgIAAyGQylXtyWVpawsTEBOfOnZMaNd+8eYPBgwdj//79Gg20AwDz58/HzJkzM0w/duyYtAwzMzO4uLggJiYGSUlJGr+O6OhojefNa/rO0r9/f/j4+CAqKgo3b97EoEGD4OHhgS+++EIlz507d7B48WJpUAZDyOm2UT7Pzs4OR44c0VkePz+/LB8vX7485s6diydPnuDff//F2bNn8ezZM8yYMQMzZ85EzZo1MWrUKOkAPi+z6JtIeUTKAoiVR4QscXFxho7AoLjfZNmyZfHkyRO8f/8eFhYW+fJKiqyO9dLiYz3GmCi4UZNppUCBAvjuu+8AALVq1cLTp08BZOxhU7duXb1nE01UVBS+//57AECpUqXw6tUr+Pr6wtfXF/Xq1cPEiRPRsWPHPBt8Q2ShoaEqvanGjBkDLy8vfPbZZwZMxXTl9evX2L59OwConOn/lNy9exf169dHQkICbG1tsW/fPlSuXBlOTk6wsbHBxIkTMW/ePBARfvrpJ6SmpiIkJASAordd//79MWzYMNSqVQuBgYEarXPSpEkqvWKjoqJQsmRJtGrVSmoUSkhIQFBQEGxtbWFpaZntMtP2jjT0iRhDZhkzZgwAoEmTJlLdS5/n888/12umtHK7bZQ9fIsXL4527drlOk9ycjL8/PzQsmVLmJuba/ScH374AXFxcfjrr7+kwYWuXbuGM2fO4Ndff9VrlrwkUh6RsoiWR6Qsyl73zPAKFiyIUqVK4eXLlwgODoaFhQUKFy5s6Fg6ldmxXnp8rMcYEwU3ajKWR37++We8fv1aupdYtWrVsHz5cmzduhWXLl1C586d4eHhgfHjx+Prr7/O9WiKxkJ5iWhYWBiqVasGOzs7XLhwAd26dcO1a9dQokQJQ0dkubRixQokJyejUaNGqFevnqHjGISHhwdu3bqFyMhI/PHHH/jmm29w+vRpVK5cGXv37sV3332HFStWwMTEBL169YK3t7d0gmPlypWIjo7GpEmTtFqnhYWF2s8Rc3Nz6aA8NTUVMpkMJiYmGp1QUZ6wUj7HkETKAoiVJ7dZlCPoOjs767QBJ+17TxMFCxaULqc8fvw4WrZsia1bt2LKlCkoXbq0XrPkNZHyiJQFECuPCFkMvX6mytnZGUlJSQgNDUVgYCAKFCgAOzs7Q8dijDGDk5McN0JuwLuYN0xk+vtunOdrym4U2NDQUPTt2xcuLi6wsbGBt7c3/vzzT5VlKO9ZkvZnwYIFeR2dsRy7cOGC1LNk9erVsLCwQLly5bB27VoEBgZi0qRJKFiwIB49eoRvv/0W7u7uWLx48SdxNn7p0qU4duwYrKys4OPjg1GjRqFq1ap48+YNunbtarDLNpluREVFYe3atQA+3V6agKKnQ7ly5VCzZk3Mnz8f1atXx/LlywEoRhINCAjA27dv8e7dO/j4+OD169dwd3cHoLhf48WLF2FhYQEzMzOUK1cOgKLHRNoezozpinI0XycnJwMn+ahFixZo0aIFUlJSMG/ePEPHYYwxSfHixVGoUCEQEZ4+fcrfXRljDMDBxwfRb18/HHx8UK/rzfNGzaxGgQWAfv364dGjRzhw4ADu3r2LLl26oEePHhkGvZk1axZCQkKkn5EjR+Z1dMZyJDExEYMHDwYRYcCAAWjWrJnK4y4uLpg3bx5evnyJxYsXw9XVFcHBwZgwYQJKlSqFSZMmITQ01EDp89b169el3mdLly5F5cqVYWlpiT/++AOFChXClStXMHz4cGnQC2Z81q9fj6ioKFSsWBHt27c3dBxhyOVylUF8AKBIkSJwcHDAiRMn8PbtW3Ts2BGAoqfr7du3cevWLdy6dUsaVGD37t3Sjf4Z0yXlQCTOzs4GTqJq+vTpAIDNmzdrfBsGxhjLazKZDGXKlIGNjQ1SU1Px5MkTHtCJMWaU5CRX+TenUuQpWHVlFYKigrD66mqkyFN0EU8jeX75eVajwFapUgUXLlzAmjVrUKdOHQDAlClTsHTpUly/fh01atSQnmdnZwcXFxeN16vJKLDK3zUdCVYfo8BqQ6Q8ImVR5lD+q20euVwOIkJycjJMTU21Xve8efPw4MEDODs7Y/78+ZmOoGllZYXRo0dj2LBh2LVrF/73v//h0aNHWLBgAZYuXYq+fftizJgxOh9kxVAjesbExKBnz55ITk7Gl19+iQEDBkgZSpYsie3bt6NDhw7YvHkzatSogaFDh+o1HyDmaKciZAE0y5OUlIRly5YBAH788UekpqZKl7XqOofIJk2ahLZt26JUqVKIjo7Gzp07cerUKRw9ehQAsGXLFlSqVAlOTk64ePEiRo8ejTFjxsDDwwOA4h68adna2gIAypYty7dnYHlC+XclUk9NAPjss8/QokULHD9+HPPmzcP69esNHYkxxgAAJiYmKFeuHB4+fIjExEQ8ffoUHh4eBr8dCWOMaePI0yPSv19W/jLHy/F94ov7YffhYuOCe2/vwfeJLzp6dNRVzCzp9Z6a6UeBBYAGDRpg9+7daN++PRwcHLBnzx4kJCSgadOmKs9dsGABZs+ejVKlSqF3794YM2YMzMwyj6/JKLBAzkaCFWkUWECsPCJlAXKWJykpCfHx8Thz5ox0SZ6mgoKCpMvk+vbti0uXLkmPZTWCprIB9OrVq/jrr7/w6NEjbNy4EZs2bUL9+vXzZARpfY/ouXLlSjx9+hSFCxdG165dVW5Doczy9ddf47fffsMPP/yA6OhoVK5cWa8Z0+cRgUhZgKzznDx5Eq9fv0ahQoVQqFAhqYehLhnDKLBv375Fv379EBISgoIFC8LT0xNHjx5Fy5YtAQCPHj3CpEmTEB4eDjc3N0yePFkaiIYxQxDx8nOlGTNm4Pjx49iyZQt+/vlnuLm5GToSY4wBUNzvVNmwGRsbi+fPn8Pd3d3gA+sxxvIvXd63MkWegvXX12OI/RBsuLEB7Su2h5mJ9k2Eyl6aRISClgURGx2L1VdXo135djlanrb00qiZ2SiwALBnzx589dVXKFy4MMzMzGBtbY19+/ZJ9xADgFGjRsHb2xuOjo64cOECJk2ahJCQEPzyyy+ZrlOTUWCBTEaCjY1Vu0wiQnRcHOycnD4Wq0zmBQCYmABWVtltngzc3d1hYWEBq/+eW7NmTWzYsEF9HgOOShsYGIgjR45g2LBhmWYJCQlB165dce7cOZiYmMDd3R2Wlpa4c+eO1Chdp04dLFq0CE2bNsXMmTMRERGBpUuXSsvYunUr/v77b+zbtw+BgYHw9vZGeHg4vL29ASgaIR89eoRq1aoBACpUqIBdu3Zh6tSpOHDgAExNTZGYmIgvvvgCixYtQkJCAho1aoTjx4+jYMGCGV5XQkICrKys0LhxY41GB1aSy+Vo3rw5UlJS0LZtW8ybNw8ymUyrETS/+OILzJgxA+fPn8eSJUvg6+uLCxcu4MKFC2jatCnGjRuHli1b5mp/G2JEz7179+Lff/+FTCbD77//jiZNmqjN0rZtW8THx2Pv3r1Yvnw5Ll68qNeeaSKNdipSFk3yEBEmT54MABg7diy+/DLnZ/qyYgz3nd20aVOWjy9YsECr+0K7ubnl/S0ZMqtlcjmQkACkqZt5Uffc3NxU6l6tWrWwceNGrZeT19LWvcyEhISgc+fOuHDhAkxMTODm5gZLS0vcu3dPqnu1atXCkiVL0LRpU8yYMQMRERFSL2dAUff279+P/fv3IzAwEF5eXoiIiICXlxcA9XVv/fr1mD17Nvbu3SvVvQ4dOmDx4sVISEhAw4YNceLECbV1T+RGzYYNG6Jly5bw8/PD3Llz1X4fYowxreiw5llZWaFcuXJ4/PgxIoOD8drCItvvrvm15gGAp6cnrK2t87TmeXh4YPfu3Zg1axb27Nmjdc1jzJgdfHwQPx3/CQtaLMh1T0jfJ754+O4hYA/4h/nnuHel7xNf+L+5h2JmDgAARytHvfbW1EujZlajwE6dOhURERE4fvw4ihQpgv3796NHjx44e/as9MGVtnHS09MTBQoUwNChQzF//vxMR4zWZBRYIJORYNMWsnRsWraE7MiRj/O6uACZ9Rxq0gQ4dSqLLZO53bt3Sx/kmclstNOUlJQse7HqysuXL7F+/Xp8//33mWaZO3cuhg8frpInMTERW7ZsUbm8WLn9lQNBpV2GcnrafWRiYoJbt24BgFT8lL8Disby48eP4/Lly7CxsUFKSgru378PExMTWFtbo2/fvli6dClmzZqV4XUp16ftiJfr1q3D+fPnYWNjg7Vr16JAgQIqj2uzvGbNmqFZs2a4d+8eFi1ahF27duHUqVM4deoUvLy8MGHCBHTv3j1X+1lfI3oGBgbi+++/B6AYEb5FixZZZtmyZQsePXqEO3fuoGfPnjh9+rRWjcu6IMJop0oiZQEyz3P48GHcv38ftra2GD58eJ5lFmlb5Cv/XeKengkUdQ9Hjnyc6OxssLqXGX3VvcDAQKxduzbLA7zZs2dj+PDhKnUsMTERmzZtyvVtNTKre3K5HD4+Pjhy5AiuXr0KKysrqe4BgKWlJfr27Yv//e9/GeoeEQndqAkoemv6+flh69at+Pnnn1GmTBlDR2KMGTMd1zw7Ozu4ubnBvlw53Pbzg4WFRbafp7mteemPM/KCtjVPeTyY1zUPAP744w8cPnxY65rHmDFLf9/K3PSETNu7ElB8H1S7zNRUQHlLvogI4LffgNBQICQECA0FhYag4XN/BEYlYVfzVCzrbg1LM8vMl5cH9HLTj8xGgQ0ICMCqVauwefNmNG/eHNWrV8f06dNRq1YtrF69OtPl1a1bFykpKZ/cTeOPHj0Kb29veHp6okmTJnjw4AEA4NSpU6hSpQoGDRoELy8v7Nu3D0+ePEH79u1Ru3ZteHp6YtWqVdJyLl68iM8++wzVq1eHp6cn/v77bwDAuHHjULt2bXh5eaFx48Z49OgRACA+Ph5fffUVKleujOrVq6NVq1YAgGHDhuHRo0fw8vJS2ysrISEBu3fvRteuXVWmz5gxA7Nnz87Ty0hfv34NBwcHqTHMzMwM1atXlx7v2bMnNmzYoLPeT8qBfgBFQ276e+LlVNWqVfHbb78hICAAo0ePhrW1NW7duoXevXujQoUKWL16tdCX46akpKBPnz6IjIxEvXr1pEEfsmJjY4N9+/bxwEFGZvHixQCAIUOGwMHBwbBhWL6Rtu41a9YMDx8+BMB1T53g4GAUKlRI67qX9jYrhQsXzrN8udGgQQO0atWKR0JnjAmrcOHC0smsFy9eIDIyUutlZHes9+2336JRo0YGqXnKwQzTyqzmTZs2Lc9r3qtXr+Do6Ki3Yz3GRKDuvpW5XVYJ2KOUnx/GnkrAV2vP423bxsBnnwHlyilOAI0f//FJcXHA6NHA/PnA1q3AkSOQ3bqNwpFJMCWgcNTH75Rpe2vmNb3eU1NJOQqs8oMu/Q2VTU1Nsxzc5datWzAxMcm7UTpjYtROlsvliI2NhUo/zrdvM19OLm4U/dVXX0mXJEyfPh0NGzZE7969cerUKVSrVg07duxAjx49cP78eQCAv78/fv31V2zatAmpqamoW7cutm/fjooVKyIuLg716tVD3bp1UbZsWXTq1Al//PEHGjVqBLlcjoiICADAxIkTsWTJEgDA77//jtGjR+PIkSM4cuQIIiIipMIaHh4OAFi7di1++OEH3Lp1C3K5PMNloVevXkWZMmVU7mEKANWrV0ezZs2wdOlS6XLVtHbs2IFTaXr6pL3UXJvtt27dOpQrVw6NGjVC06ZN0atXL2mburi4wMrKCvfv30fVqlW1WrY6I0eORFRUFOrUqYMRI0bkennplSpVCsuWLcPUqVPx66+/YsWKFXj+/DlGjBiBGTNmYNSoURg+fDgcHR11vu7cmD17Ni5cuAB7e3vs3LlT41527u7u2L17N9q0aYPNmzejZs2aUm9PJp5r167h5MmTMDMzww8//GDoOCwnjKDu+fj4oH///lJPDK57qrp06QIfHx+4u7trVfeUgwSZmJgI3RN6+vTpOHbsGPfWZIzlXh7VPJMXL1A4LAzv379HQEAAKlasmKEeKGlyrNetWzeVmrdq1Sr88ssvsLGxQf369fVa89QxZM3r2bMn1q9fr3XNY8xYaX3fytRUIDgYePZM8fP8ufT/1PbtsKrUGcWy5GaosXo1Pg7RfVF1OaGhH//v7Ax07664WrlYMaQ6O2Ga/6+4Kg+CrJgrImw/5tBnb808b9TMahTYihUroly5chg6dCiWLFmCwoULY//+/fDz88PBgwcBKM40Xb58Gc2aNYOdnR0uXryIMWPG4Ouvv0ahQoXyJrSNjfrpcrnizaHJvLmU/pKEf/75B9WqVZMuye/Tpw+GDx+O4OBgAIpGIOV9Ch89eoT79++jZ8+e0vOjo6Px4MEDvH37Fh4eHmjUqBEAxUGMsiHMz88PK1euRHR0NORyuVTQqlevDn9/f3z//fdo0qQJ2rVrp9FrePXqFYoWLar2sdmzZ6NOnTpqL2fo06eP2vusaMPFxQXnz5+Hv78/Ll68iF9//RUrV67E5cuXpcs1XFxc8OrVq1wXuv379+Ovv/6CmZkZNmzYkKMR0zVVuHBhTJ06FWPHjsWWLVuwZMkSBAYGYtq0aVi4cCG+/fZb/PjjjzrrKZobZ8+exZw5cwAovhRpewDasmVLLFiwABMmTMDo0aNRrVo16X3LxKLspdmzZ0+ULFnSwGlYjhhJ3RsxYgRev34NgOteekWLFsXt27dx9epVnD9/XuO6p2zU1Mfl+7mh7K157NgxzJ07V8j7zzHGjEQe1TyZrS1KW1sjKSkJ0dHRePr0KSpWrKj2UnFNj/XS17yoqCiueVDUs7t37+Ly5cta1TzGjJWyZ6WjleLv2dHKES9f3MH5/SvRRF5S0eDYuLFi5tBQoFQp4L/veOm9sZfhfqtAOFo5IsLEHKE1a+Kq5UuE2BJeWCejU5OhqF2zg9R4KTEzA/bskX499OgAtka+QSHLorA0y3hiXF/31szzb7DZjQLr6+uLn376CR06dEBMTAzKlSuHbdu2SR+mFhYW+P333zFjxgwkJiaiTJkyGDNmjMp9Nhlgm+beMEQER0dHtWfVDh06pPb5L1++xIgRI3D16lWULVsWd+7cQeP//ijc3d3x4MEDnDhxAsePH8eECRMyPWOXlrW1NRISEtQ+5ubmht69e0uNXnnB1NQUDRo0wGeffYZRo0ahaNGiuHfvnnQmUDkgUG5ERkZi+PDhAIDx48fD09Mz17k1YW1tjeHDh2Po0KHYu3cvFi5ciNu3b2P58uVYvXo1evXqhQkTJhisiH/48AF9+vSBXC5Hv3790KtXrxwtZ9y4cbhx4wZ+//13dOvWDdevX9frwEEse8+ePcMff/wBQPE3wJi+cN3LSFn3GjRooHHdUzZq5uUJOV2ZMWMGjh07hm3btuHnn3+Gu7u7oSMxxpgKExMTlC1bFg8fPkRCQgKePn2KSpUq5XpQV655GeWk5jFmjFLkKfj14gp8fj8eve4loExoAoq/S4R9XCqA/9rFevT42Kjp7AzIZIpGSDc3oEwZwN0dKFMGqW6lMe35ChARLM0skSqT4fLUqVj4diGSKAnB0cG4VvgWDjWYm2XvyrQ9Ry3N1I9/oa/emnl+T81NmzYhMDAQiYmJePv2LY4fPy41aAJA+fLl8eeff+LNmzeIjY3F7du30bdvX+lxb29vXLp0CREREYiPj8eDBw8wadKkTAcIyq/q1auHu3fv4t69ewAUlwwUL14crq6uGeb18PCAvb09tmzZIk17+vQpwsPD0aBBAzx58gRnz54FAOksXWRkJMzNzVGsWDEQkcp9WV69egWZTIaOHTtiyZIlICIEBQXB3t4+y/vFeHp6SvdqUWfKlCnYvn271NtUl65du4bnz59Lvz98+BDJyclSL7LU1FQEBARIZ0NzatKkSQgODka5cuUwderUXC0rJ8zMzNCrVy/cvHkTR44cQbNmzZCSkgIfHx9Uq1YNX3zxBc6ePavX+8kQEYYMGYKgoCCUK1dO5b2kLZlMho0bN8LT0xNv375F165dM/3yxAxj6dKlkMvlaN26td4a9dmnQV3dc3V1RfHixTPMy3UPuHnzJgICAqTfNa17xtSoWb9+fbRu3ZrvrckYE5qZmRnKly8PExMTxMXFafTdNbNjPa556l27di1HNY8xY+T7xBevXt7D5m0RaHclHJVexv3XoAm8tTNBeHUPwMPj4xNMTBSXmickAE+eAMeOAWvXAhMn4pCXNQ4XeCH1+ExP03thpu85mhl93FtTLwMFsdxzcnLCjh070K9fP3h6emLNmjXYvXu32rN+ZmZmOHjwIP766y94enpKgynEx8ejUKFC2LdvH3766Sd4enrC29sb58+fR7Vq1dCzZ09UqVIFtWvXVrl8+e7du2jYsCGqV6+OGjVqoG/fvvD09JSWXbVqVbUDJpQpUwZFixaV7gWTXpEiRTBq1CiEhITobkP95/379xgyZAgqV66MGjVqYNCgQdi5c6c0EuG5c+dQu3btXN2D8vz581izZg0AYP369QY9EyiTydC6dWucOHECV65cQbdu3SCTyXDo0CE0btwYDRs2xN9//53lvWp1ZdOmTfjjjz9gZmaGnTt3ws7OLlfL44GDxPXu3Tts2rQJAPfSZLqXvu6tW7cOW7Zs4bqXifDwcPTt2xcVK1bUqu4ZU6MmAGnAua1bt+LZs2cGTsNY5sLDFceR+/cr/v3vSl/2ibCwsIDNf5eux2RyD8+01B3r7d27V5iap26gIEMf6/Xp00frmseYvslJrvKvRhITgd27gbFjpR6R4TYm+LthYexo7owx35dFj+mV8dkKL3hNL4pe40ojZcY01WUUL/5x1PL/aNu7MkWeonYeTZajzfJyS0afSOtAVFQUChYsiMjISNjbf7z9c0JCAp4/f44yZcpIo6dlRjkogL29fYbBjQxBpDyZZdm7dy9OnTqV5Wj2+syj1LNnTwwaNEil17CSJu+JxMRE1KhRA/7+/hg4cKDUsKNOcnIyfH190a5dO70OwvDkyRMsWbIEW7duRVJSEgCgUqVK+PHHH+Hg4IAvv/xS53kePnyImjVrIi4uDgsXLpRGhM+MNtvGz88Pbdq0gVwux+rVq/Nk4CBD7SvRs2SWZ9asWZg+fTq8vb1x7dq1XF9apYnMPstZRuq2lTY1DzCOOiNaHkPUPU22TWZ17+nTp4iIiIBcLoenp6dG74vs5PXnV5s2bXD06NFs668+smhLpDwiZREtT26yPH0KbN6saMyMiFDcotHUFHBwADp1AgYOVAwqqymue5oR8Vjv9evXCAkJQeHChXUyuJmu8xER4pLjYG1unePvcGlrnkh1On3NS5stKSlJq+9C+iDS5586IucTORsA/P3gb+AJgPLAl5UznhBXcf8+sHEj4OMDvH8PAPjXdzX6+c9FIctCahsQE1IS8CHhA9a0X5PtfSsPPDqA7w59p7KsArICmOg8Ubr8XJNlXgi6gH77+iE6KVqDLaBgV8AOv3X+DQ1KNshyvpzUPLHvCs+MXvfu3fHmzRvI5XKDFzelhIQENGnSRG2DpqYWLFgAf39/ODs7S4OkiKZ8+fJYt24dZs6cieXLl2PNmjXw9/fH4MGD4ejoiICAAHz33Xc6+4KcmJiIXr16IS4uDi1atMC4ceN0slwlHjhILPHx8dKlS+PHj9dLgyZjxsDY6p6x9dQEFPfWPHr0KLZt24bJkyfzvTWZMC5eBL77TjFGg7W14rZmpqaKhs2oKEVjp68vsGYNUL++odOytFJSgNhYxf+joxXjA+V2/DTlfTA16alpCJGJkXgV9Qol7EvAwdIhR8tIW/NEoYtjPcZ0IUWegvXX12OI/RBsuLEB7Su2z3hfyZgYRa/MjRuBS5c+Ti9eHPIB/bH+6W6d3Lcyp70r1S3Ty8ULv7T+Bcmp6gciUsfc1BxeLl4az68NbtT8zyfSYdUgRowYYegIKiwtLfHdd99l+nh274UHDx5g7ty5AIAVK1YIf1mDi4sL5s+fj0mTJmHdunVYunQpQkJC8NNPP2H+/Pn4/vvvMXr06ExHL9TUTz/9hFu3bqFIkSL47bff8uRg3hgGDjp48CCOHj2KChUqwNvbG15eXtLlR/nJtm3bEBYWBjc3N3Tr1s3QcZiWuOblLWOqe8bYqFmvXj20adMGR44cwZw5c7B582ZDR2I6kKNL9ATy9KmiQfPNG8DVVXFLMyUzM8DRUdFbMyREMd8ff2jXY5PlTmZ1LyEBePdO0auWCChZEnj5UjHGhoMDUKQIkJPOfCkpgFyu+P6XmJiIhIRkWFqK04uMiPA29i2SUpPwNvYtCloUzPEJamXNE6VhM7fHevmBnOS4EXID3sW8YSIT4wTrp8j3iS8evnsI2AP+Yf7qRwH/5x/g228V/zczAzp0UPzeujUOPj2Ec4e2aHXfysx6a155fQXPPjxDKqUiKCpImm5pYgk4A6+jXyNBrnr/34DwAFx5fSVD70prc+s8Hc1cW598o6byS3xSUhKPjsYAQLpUW90Bnlwux+DBg5GcnIz27dujR48e+o6XY/b29hg/fjy+++47TJo0CceOHcPjx48xf/58/PLLL+jfvz/GjRuHcjn4hn348GEsW7YMALB582YUK1ZMx+kVlAMHPXjwAHfu3EGXLl1w5swZIS4diY+Px48//oi1a9eqTJfJZKhYsSJq1qwJb29v1KxZE15eXkZ9CVlqaiqWLFkCAPjxxx9hltuuDExvlJflxMXFcc1jICKpUdPExETIy7YyM336dBw5cgS//fYbJk+ejLJlyxo6EsulI0+PSP9me4megDZvVvTQTN+gmZaJCVCsGBAcDGzZAvx3jpzloayO9WJigBcvFA2QJiYfe2aamSmmvX8PREYCpUsDaQYfz1LaRtLUVDMAVgDi8fhxLBwdHXLcSAoAUYlR0r8OVg45W8h/IhMjEZ8cD3MTc8QnxyMyMTLHvTWNQdptJ0tSNN4a08k8bR18fBA/Hf8JC1os0Enjk7GfdDKEtD0jAcV3rt9OLEX7w09h6lgE6NdPMWPnzkDdukCXLoppLi4Znp/bnpVAFr0rUwE8A35p+QuQ7k8iL3tX6tInfyRqZmYGa2trhIWFwdzcPMveZXK5HElJSUhISBDikjKR8oiUJTd55HI5wsLCYG1trbahZt26dbhw4QJsbW3x66+/GuUltxYWFmjRogWWLFmCw4cPY+HChbh06RLWrVuHDRs2oGvXrpg4cSJq1qyp0fJCQ0PxzTffAFCcqe3QoUNexoeNjQ3279+PWrVq4erVq/j++++xadMmg+6LBw8e4KuvvsK9e/cgk8nw9ddf48OHD7h+/TpCQkLg7+8Pf39/bN++XXqOsiensrHT29sbDg4OBnsN2ti/fz8CAgLg6OiIgQMHGjoO04KpqSkcHBzw9u1bAIC1ddb30RLps12kLKLlyWmW5ORkEBEiIiLg4eFhVAd4aXtrzp07l3trGjmNLtETWHg4cGBfKqytTaUGzaoxlyAD4a6t6nXmJiaAlRWwbx8wdqyiByfLO5kd6yUmKnpkpqZ+bMxUfpbK5QmQyUxgagokJwPPnwOlSgEWFlmvKzZW0WCdmqrYzyYmgKmpJVJT45GSEoF37yzx4YOi4Vvbi3iICKERoXA0dUR4fDgsYJHj775EhJCIEFAKQWYqA6USQj6EwMIh58sExKqLaalsu7hwmMaaZnqslx8oG8OCooKyvSRZU8Z+0skQlKODF7MoiiK3b+PXfyLQ7OZzmKaeUnTT79tX0SXc0lL1svP/ZNazMiuZ9awEMu9dmZycDN9nvuhYsaNRndxOK3/+JWtBJpOhWLFieP78OV68eJHlvESE+Ph4WFlZCdGYJVIekbLkNo+JiQlKlSqV4XmvX7/GxIkTAQDz5s1TGTXQGJmYmKBTp0748ssvcfbsWSxcuBC+vr7Yu3cv9u7di+bNm2PixIlo0aJFpttQLpfjm2++QVhYGKpVq6a3+4uWKVMGu3fvRuvWrbFlyxbUqlUrTwYOyg4RYcuWLRgxYgTi4+Ph7OyM7du3q9zDJyQkBDdv3sT169dx48YNXL9+HUFBQXj8+DEeP36M33//XZrX3d1dauSsXr06oqKi9P6askNE0n7+/vvv8+Wl9fmdy39ngJUNm1kR6bNdpCyi5clplqSkJLx+/Rp+fn5YuXJlHibMGzNmzODemvmERpfo5ZX4eMUNL9P8yMLDUeLsWciSk4G0t1gZPhwICsowf8GIKOykKuhX5bo065znfRBjWhBfV76RYZUFCwJv3wLXrwN827+8ldmx3ocPip6aadu1ZDJCQkI8oqKsQPTxszQlRTFvVueek5MVPTSVA0MpyeUxSEl5D5ksGubm8UhNBcLCFJe1a9N+EJcchw/xHxBrFosPKR8QGxYLa3NrzRfwMRASEmIQGxcJczmQKJNBDiBGRogrGPdxmSn/jVIskylaZzWoLSLVxbTSbrvw5HDYWdnBu7R37hpwdXx5ty57Qiob01xsXLK9JFkTxn7SKUdSUxVnKWJiFGchlK5eBQICFDfejYlR/KT9/8aNQIECSJGnIG7saFy68AYOCW9gF39TWsTT0nYo88MomKakZPkhINp9K0WWz9+NmilQoADKly8vXXacmeTkZJw5cwaNGzcWohVbpDwiZcltngIFCqg9uzhixAhER0ejbt26BmlAyysymQyNGzdG48aNcffuXSxatAi7du3Cv//+i3///Rc1atTAhAkT0K1btwxnNJctW4Zjx47B0tISv//+u14vA2/RogUWLlyI8ePHY/To0fDw8EDz5s31tv6oqCgMGzYMu3btAqAYyOi3336TGoyUihUrhmLFiqFdu3bStLCwMNy4cUNq5Lxx4waeP3+OZ8+e4dmzZ9i7d68079SpU1V6dNasWRPOzs76eZFqnD9/HpcvX4aFhYVw9w1kmlEe4Dk7O0uXHmdGpM92kbKIlienWS5cuIDevXvDzc1NqANQTdWtWxdt27bF4cOHMWfOHGzZssXQkVgOqLtEL9veRXK54oBT2bBoZgaUL//x8VWrFK1W6RofERUFVKwIbNjwcd6SJaVRZpXMANQEID93TrVR8/BhRbe9dEwB2JpGqTRmPbH2zPQ1KwcPUg5Mw/JW+mO9iAhgxAhFb82CBdPOl4xvvz2DjRsbIynp42dpRISiM9WOHZk3bC5dCvz5p2JwqLQfp0lJgXjypDtksgKoVOkagAJ4+xbo2hUYM0az/CnyFAz9ZyhehL/ApFKTMP/lfLgVdsPaL9aq/xuJilJ0Q42KAhqk6bHVrRtw757adby1NcHP0xp8XGavXsDNjw0xMDdXjH5lbQ0ULqy4KazShg1AUBBSLS3xMiwMpSpWhKmdnWJeW1ugRYuP84aHKzaQtTVQoIBGjaW5kX7bzX0xFw72DjhQ7UCulqvry7t11RMy7edpQcuCiI2OzXVvTYOedNIEEUwTE1Wn3bkDvH6dsdExOlpxj4ilSz/OO2ECcPSo6jzx8R8fT0r62Pi4dCnw37GfWsuWAY6O8H3ii+Twtyj5IRUAkGxtjX9q22FXPRtccE7Amhal0TGb72ui3bdSZNyo+R8TE5NsG2RMTU2RkpICS0tLgx/AiJZHpCx5keevv/7C/v37YWZmhg0bNhjVJXraqFatGnx8fDBnzhwsXboUGzZswM2bN9GrVy9MnjwZY8eOxYABA2BlZYUbN27gp59+AgAsXboUlStX1nvesWPH4saNG9i1axdatGiBTp06Ydq0aahRo0aervfatWvo2bMnAgICYGpqijlz5mDChAkaX2rj5OSE1q1bo3Xr1tK08PBwqUensqHz6dOnePHiBV68eIF9+/ZJ8xYvXlylkdPb2xuuac8i5iHlvTT79++f68GlmGGZmppm+1km0me7SFlEy5PTLK9fv0ZcXFye3QdZH2bMmIHDhw/Dx8cHkydPztF9oZlh+T7xxasXd/H1EwuUvbsfP72NhyzmPB48Hg7PWes+zli9uqJBJCpKcdCZdrCP5s2B48c//j5tmqJRU50E1YEQYG+vWK6dneL/9vaQ29nhXWIiCqcfonz6dMUB7n/zKX/O3LLHkPEFYZnmUubxZfchM8refHyxg/6kPda7cwfw91c0QKZ9OxQoYIrSf/6JLldOIQYFEWdiizhTW0STHUKibfHydwe4/NDw4xPi44ECBRAeaQofn4xvLQAg8sDr17FISXkBC4sHsLWth/fvAR8fYOhQzW4/cODRAZx6fQouVi5ISUlBPOJx8tVJnAg6gY4PCbh1SzFS1dOnwJMnHxvpXVwUI1MpJSQAL17gvY0JgpwtEOJkBZIBVolyRFrg4zI9OiqWERqqaPlNz8VF9cage/YA584BACqln9fGRtFQpPTtt4qTA4Dij8DWVvXnypWPN6Vdvx548ODjY3Z2qvO2aPGxW2x0tOJ51tYqDaXpt12iLBG3397OVcOcri/v1mVPSGUvTeXAMpoMIJNdNq1POmnjyRNF12V1vR4B4L+rJAEoGh8vX87QSGkWG4s2Fhagzp0/zvvTTx/fZ+osWfLxvRMUpPhQUMfUVHH2SXk2o1o1xd+FuveknZ3US3PVlVWIbWyD401KIcXSAj0r/YwlkcuQREmg6GDdbkPGjZqMZSciIkLqkTZx4kRUq1bNwInyXunSpbFs2TJMnToVq1evxooVK/Ds2TMMHz4cM2bMwMiRI7F9+3YkJyejU6dOGDp0qEFyKgcOMjMzw/bt27F//37s378fHTt2xPTp0+Ht7a3T9RERli1bhokTJyI5ORmlS5fGrl27UD/9QU8OODo6onnz5lJv0+TkZOzZswdFixbF7du3pV6djx8/xuvXr/H69WscOPDxLLOLi0uGHp0lSpTQae+roKAg+Pr6QiaTYezYsTpbLmPMMIKDgwHAqBs169Spg3bt2sHX1xdz587l3ppGJuXpY8hHjsDV029gk0QAtqLqf4/deP8HUmas/njQFxSUsaHS1FTR1S5962CfPmobH2FvLw3CILl7V3GTyzQnJlOTk3HR1xft2rVTHTfhv3uIp1e1OGAyX9HeqkkjVWSk4hhZw9uXMx2Li8t4mbhSyZMnUTU4UO3zEmYWBX4I/TihdWvg7FkUtLDG6WRbJJjZIj7UFvEmtvhg5oRx5fZDJpPBxqYBRkYeQO2X38HS0gMkJySGEpI6A3Amxc0609x3HXPmKO5NAMWtnoq8uojNiVGwNo1HBbNZsBhmITUufbE5CSYnT2UM6+KiuG9fcrLUyyxl0wZ0PzwQl2MfwdUu48lwlcaWM2cUE5OTP16Gq/xRXpquNGwY0Lo1UiMj8eLBA7g5OsIkLk4xb/oTbWmvEElNVfwxREYqfk/3d4gDB4BDh9TuiwzLGjpU0YNOJlN8HtjagmxtUTnpDf4yTcDkMSUAABZmFqj0Ogmnts9Bu2E1YOZaQuveorq+vFtXPSFTUpMRM+EHbAp4j/Lh4ZABSDQ3QZRpMsy2DIS8YVeYrE1zomj5csVnqrIHrpXVx/87OABNmkivtWqiI+xevkSj0AJIeHwdNyKnoU7Byh/38aBBH5f700+Kxmh1vSQLFlSMzqXUvz9w4YL6F2Rrq9qoefcuoHxfpiEDYJaQgGR5mkv3K1RQND6mb3RU/j/tB8D48cCAAeobKS0sVN8fkyYpfrLg++gA7ofdR6FSzrhvZokCsgKQp7khb24bmllG3KjJWDZ++uknhISEoEKFCpgyZYqh4+hV4cKFMW3aNIwbNw6bN2/G//73PwQGBmLatGkAFD0GN27caNDLFq2trfHbb79h0qRJmDNnDn7//XccOHAABw4cQIcOHTB9+nSNBz3Kyrt379C/f38c+u/LVZcuXbBx40YUKlQo18vOjK2tLZo0aYIWaS7biY6Oxu3bt1Xu0env74/Q0FD4+vrC19dXmtfJyUkahEjZ2Jmby0z3798PAOjUqRPKp73MjzFmlEL+68Gjr57eeWX69Onw9fXl3prGJjUVyQ3ro9PbcADAM1crmJevgyuyh/hQIBX3HFPwedqDvoMHFQeYaRsoLS3VN0hoc49YHXSXdHQEOnVSjIDu4JD56OeA4sr5+Higd28eJMhQrK0/3gIg/VgxLz//HPcP26FAchxsUqNhJY+BVUoMzJNiUKKsI1Su6/uvN5lpYhycEAckfbxX9Xuzj7cKsrVtgOaRB9A0/hYQf+vj85XtM9bp7o154YLUy8wEwMcLyBMBfIBFYh2pYeRBnTaoWracogFT+VO2rNrh2n0T7uJK3GOpF196ahtbzM0Vb+qsbijapw8AQJ6cjLu+vijZrh1MMrtqwM9PseGVjZ5pf9J3de3VC/D0VJ1H2UiWmKi685Q9+4ikeWUAyv33k2T28XNi9NlkdLh6FZhTStGQ5+6u2GbKn4EDFdPV0PXl3Vr1hIyMVHQxfvDg44+dHbB7NwDA9+lh1D//EmXep6pZ03tEJR2FfdpJa9YAjx6pD+bmhpSAJ1K2Zeueo9KLUfhcmmH+x3lLlFBt1Dx9Wu3ANwAUH4BplSoFvHmTec/HtMaPV+ybdPMmW1jg6IULaJ22Fixbpn796uiwE4wmI5ZrMlI50w5vQcaycPbsWaxbpzijtX79er3eM1Ik1tbWGDFiBIYNG4Y9e/Zg0aJFCAgIwI4dO1C4cGFDxwMAVKpUCTt27MC0adMwZ84c7Ny5E//88w/++ecffPHFF5g+fTpq1aqVo2WfPn0avXv3RnBwMCwsLLB06VIMGzbMII25dnZ2+Oyzz/DZZ59J0+Li4jI0dN6/fx9hYWE4evQojh49Ks1bqFChDD063d3ds710Pjg4GKdPnwYATJgwIW9eHGNMr5SNmsbcUxNQ7a05Z84cbN261dCRPikaD5iRmqroddW+PWBqihQZYXejQih9LxZ/tCmFm5ULY2LRMfjf24VIoiQERwfDP+1BX9p7Awpo4EDA11dxtW+xYuobNuVyxeMuLoqOQfnBmjVrsGbNGgQGBgIAqlSpgmnTpqFt27YAgNDQUIwfPx5+fn6Ijo6Gh4cHJk+ejK5du0rLcHNzyzBg6/z586XbHOlarVqKNjp1PWufdeyIFf7tVO6p+f69oo3r3LF0C7pwAYiJwRnfGEwfG4MSDjGwl0XDKjUGMny8PYKNTQOsBPC3iR2Kuc6BXC5DdIwMX/eToVJFZOzNOHIk8OWXSCU5Vl5ZiVfRwXCwLAhTmRk+L94DZHJSahgZW/UVDvU+lG3DiFCNLaamigap9I1W6f3XWKqR/fsVZwv+a9BMiYrA+D+H4c2bAJQ0KYQUs49/kNF2FnjhaIoSH1JhGh8P3L+v+AEUf7iDB39c7sSJwI0bUoPnTctw0ItbKO5aGITc97qTen1aKXqQF7IqhOcv76gur29f4MQJ4L+rK1QUKgQQIYVSserKKtRsbAPHAgUR6GKJFFMZLJLlsEySIy7qPZycHTBZnvJxv/btq7jvZFyc4ic+/uP/ixVLdyl7FBLt7fHePBExFkCUuRylileBs4s7kP52VOPHf7ylh7rGyrSyuj9lep9/rn56cjJSMzvBpWfpL//PDPfW1C1u1GQsE4mJiRgyZAgA4Ntvv0WTJk0MnMjwzMzM0Lt3b/Tu3RspKSkZBg4SgYeHB3x8fDB16lTMmTMHO3bswMGDB3Hw4EG0a9cO06dPR506dTRaVmpqKmbPno3Zs2dDLpejYsWK2L17Nzw9M7/5vyFYW1ujfv36KpfBJyQk4M6dOyqDEd29excfPnyQBoFSKliwIGrUqKHS2FmhQgWVhs5Vq1YhJSUFDRs2RL169fT6+hhjeSO/NGoCH3trbt++HVOmTOHemnqU7YAZ0dGKLozLlysG2dm/H/jyS/g+8cXk+nEo9Hk5WJpZokC6A1JjO+grV07R8em77xRtD1ZWiistlT0CIyMVbQYuLor58stbtESJEliwYAHKly8PIsK2bdvw5Zdf4ubNm6hSpQr69euHiIgIHDhwAEWKFMHOnTvRo0cPXLt2TeUe6LNmzcLgNI1Jdtk1eOWCznrWWloClpao+kURvFkAvEhQ3/vWxqYW9snMQfJoVHXoiJgYN1gVB8bOBKCu7eO/BuFDjw5gcVwkClmW+O9vpAAqO9dD0tvTAGn3N5LvG1tMTBS9rm1sgKJF4fvoAPY4BqOQqysem1miQJpZf/mqJOZ1dUJMTDg2VZ+G5uSmGNE6IEDR0l0gzdznzyt+/rtnb20AfgCAMLx1MEe7hZ4fbwUwcxdMLl5S9CBV/pibK/61tFS9dHrOHMivXEGh0Mv4NTkKlgWSUDN2Mo6/fIQkyNGvVJqG5bdvPzZouroClSsrfipVUvyLj/s3uEVJtY3WCSlW+JAQhhpp9+vkyZluzhR5ClbtaCc1gg+a7ImJzhOxMM1Jp2pFnXGo9+6Mjd9dumiyx/IdTU4cKHFvTd3ircdYJpYsWYKHDx+iaNGiWLRokaHjCEfEBs20KlSogN9++w1TpkzB3LlzsX37duny7LZt22L69OmoW7dups9/9eoV+vTpgzP/fQEZMGAAVq5cCRsjuau/paUl6tSpo9KAm5iYiPv376v06Lxz5w4iIyNx6tQpnDp1SprX1tYWXl5eqFmzJry8vLDhv5Fif/zxR32/FKOTXa+VgIAAjBs3DufOnUNiYiLatGmDlStXSgMvBQYGYvbs2Thx4gRCQ0Ph6uqKr7/+GpMnT0aBtF+0Gcul/NSoWadOHbRv3x6HDh3C7NmzsW3b/9m787Co6u+B4+9h30REQMQ1xVxQcPcLLT/3TEUyyxZLMzO1XcoKzT3U0jRNAy01K1c0XFHBTE3RQBO33A1TUUERUJB15vfHdUaQRYSBGeC8nmcemJk79547oMycOZ9zlhk6pCqhyIEZly/DvHnKsA9tz7yaNeHWrftv/sDwVWN65O2tDIVeuhRCQ5VchLZ1m4ODkhgbOrTyJDQBfH1981wPDAwkKCiIAwcO4OHhQWRkJEFBQbrXI1988QVz5szh0KFDeZKa1apVw/XBfqdFyMjIICPXEJuUlBRA6UmelbvXYiGGDIHff1d+RrVqKTkxCwvlcdqvarWyMrZBAxg8OG8Lx9yqVVOmmf/yi5K/yp8kNcPWtg137kRx9+4eNJo6DBigPK6wfWars1kYtRBLLLE3VxYNW6gs8n41tyAtPY1F0Yvo0bBHof9GCtpXYYq7z4Jon/fiPP9lqdjPnVkacxI24/NiCGb3etoDeX4oqq+/hpMnUZ0/z9Uje7lxPIqGN7NxSM3BPFuDhcqC2ja1OZdwjpvnbHC+99rvQRorK7Jz7dd0/35MwsJ4SndLOnBDd+3af2fYcmoLvZv0RjVhAowfj6ZZM+WTkgfPNzP9oT/fR/25hp0N4/yN89S2qY2FyiLf86c9Z22MhmQsv3d/XfmLK0lXMFeZk3AnQXe7lcoKXODmnZuka+63WDBXmXP51mUO/HeATnUKf09a1ozl+dMqSRzG/+pACAPZtGkTAF9++WWZ9k0UZevxxx9n2bJljB8/nsDAQH755Re2bt3K1q1b6dWrFxMnTsxXebhlyxbeeustbt68iZ2dHcHBwQx6lCUwRsrS0lLXY1MrKyuLf/75J09FZ0xMDHfu3GHv3r3svTfNEpRqjD59+hgi9AqlqKqVhg0b0rNnT7y8vNi5cycA48ePx9fXlwMHDmBiYsKpU6dQq9UsXLgQd3d3jh8/zvDhw0lNTdVNnxdCHypTUhOUas0tW7boqjWl92/ZK3BgRr3uyvLNNWvuDxRp2hRGj1YyQ9bWukEKlbFqzN0dAgPh44+VWS+pqUrxWLt2lb+HZk5ODiEhIaSmpupWj/j4+LB69Wr69OmDg4MDa9asIT09nc6dO+d57IwZM5g6dSr169fn1VdfZfTo0UV+gD59+nQmT56c7/bw8HBsHuxRWYixYwu+ffToiHy3nTqlXArTvr1yKcySJa5s3AiPP76KESOUxFSuNugFetv+bSggRzXaefT9K/dad4Zve3BtfPH2VaBi7rMwERH5n7/yps/nDicn5XKvGOIiYHbnDuZpaXzmcr936tE3rmD2YioqtRqT7GxUOTnK9zk5oNFwPXff+w4dsGnYUNkmJweTnBwy7O25Xa8ed+rWZYqVFZxV/o/V2bfvkc83j0f8uc5uNDvfbXmeP8gfowEZw+/dtPrTCr3v60YFF0ndPHKTsCOGfw6N4fkDpa3ao5KkphCF0Pb20fcEbWEY7u7uLF26VFe5+fPPP7Nt2za2bdtGz549mThxIp6enixevFiX0G7bti2rVq2q1G+Mzc3N8fLywsvLi6H3GnxlZ2dz+vTpPBWdFy9eZMiQIQ/tvSmKrlq5cuUKsbGxHD58GHt75dXnsmXLqFGjBjt37qR79+706tWLXr166R7fqFEjTp8+TVBQUJFJzdJWrRTEmD69NaZYwLjiKUkst2/fJjU1FQAnJye9noehnpvWrVvremtOmTKFJUuWGNXPCSr+701uuauhnK2duXb7mlIF1KA7lqdPY5KdjbpzZ9Qffojm2Wd15WvZGXcLrCp6sBIISlc1Vhr6+DlVqwYP5O0KrcorTizG7NixY3h7e5Oeno6dnR2hoaG0uLcsds2aNbz00kvUrFkTMzMzbGxsCA0NzdMi4oMPPqBt27Y4OjoSGRlJQEAAV69eZfbs/EkVrYCAgDyrR1JSUqhXrx49e/bU/X0tjgsXlMHjmzdDenoWM2ZE8PnnPbCyMqdvX3jtNWWOTHFERYG/v1LdaWWlFNWZmCgVn5cv3wU2snt3HOPG9aaoTkjZ6mxeWPMCJxNO4lrtfvWqhcqC0c6jmZMwh0xNpu72a7ev0cKlBSEvhhT4b+Ru1l3+iP2D7JzsfPcVxszUjC4Nu2BtXvDAnIJkZWURERFBjx49MC9sUFAZ0/dzpxV2Ngz/7f44WDlgaXZ/kjX3ZkNlZGeQlJHE7D6zi1W5GNaEPPvLE19KJhmJGSSlJzH7maL3V9j5FqY451vQuRb0/GVkFy/GsmYMv3dFkfgejfb9y6OQpKYQBcjIyODatWsA1K9f38DRCH1q3LgxS5YsYdy4cUybNo1ly5YRHh5OeHg4tWrV4vr16wB89NFHzJgxA0tLy4fssfIxMzPDw8ND1wsLlD94YQ8rKRD5PFi1cv78eVQqVZ7fKysrK0xMTNi7d2+eSfe5JScn4/iQEh99VK0Uxlg+vQXjigWMK55HieXKlSsAWFtb69psGDIefenatSthYWGsWLECHx8f3WR3Y/o5gXHFU5pY3rYdRv2/dtJw+3YiJ39Jtq0t4dsjqPHii6hffZXkxo2VDbdty/u4IqqK8lUClbJqrDSM4edUkqqV8ta0aVNiYmJITk5m7dq1DBkyhN27d9OiRQvGjx9PUlISO3bswMnJifXr1zNw4ED+/PNPWrVqBeRtbePp6YmFhQUjRoxg+vTphb4Os7S0LPA+c3PzR3pj3rQpTJ2qFBIfPKj0z5w715z27c0fubL2iSdg+fL77QcuXbrffsDW9mkA0tOP4emZjrl54T1Doy9Fc/rWaVLVqZxPPq+73crECpzh35R/SVfnnRR+KvEUh+MP41Mv/0Atc3Nz/Fr4PdrJlMKj/gz0Sd/PHSiJwwWHFnBXfZcapjXyJEW1VKYq7qrv8v3f39OnWZ8iE6RF7S9Tk0mmJrPY+yvsfItS1Pk+7Fy18T3qOZcHQ/7eFYfEV/w4HpUkNYUowOXLlwHlzZ6xTPcW+tW4cWMWL16cJ7l5/fp1qlWrxrJly+jfv7+hQxQVWGFVK87Oztja2vLZZ58xbdo0NBoNn3/+OTk5ObqlwA86d+4c33333UOXnuuraiU3Y/r01phiMbZ4ShLL7t27AaVdQu/e+q2wMPRzs3PnTsLCwti3bx+LFi0ymp8TGP650Vcs2eps3pvfmxHf76fNBaVC/Pz6sXz7PxOlCuijwquACq0aU4NZrBnZDbPhgUUBJakaKw1j+jmVpGqlvFlYWOgqL9u1a0d0dDRz587l008/Zf78+Rw/fhwPDw8AvLy8+PPPP1mwYAHBwcEF7q9Tp05kZ2cTGxtL06ZNy+UcHB2hSxdlSXiXLvkHkhdX4e0H3GjbtgEXL14kKiqKbrl7OD6gtWtrZj8zm6ycB6p0c4ALMLvHbDDNe5e5qTmtXVuXLOhKpCyeO30PWdLn/go93yIUdb5RV6K4cOsCOZocLqVc0t1uZaL0hbxy+0q+pPD5xPNEXYkqNCksRFmTpKYQBdAuPW/QoAGqB6ZxisqlUaNG/Pjjj4wbN47169dTvXp1+vbta+iwRAVXVNVKSEgIo0aNYt68eZiYmPDKK6/Qtm3bApf2X7lyhV69evHiiy/mmQpbEH1VrRTEWD69BeOKBYwrnkeJJSFBaWLv5uZWZvEb6rmZPHkyYWFhrFy5koCAAIPGUhhjiueRY9Fo+GfKh8ybthvbTA2pliYs8nUj9Mka2JhlcTj+MBGxEYW+CS+saiwrK4uw2DD6tehXcZ+bMoqholGr1WRkZOiqTB/8+2ZqaoparS708TExMZiYmOCSq19hRePoCD165L3Nx8eHixcvEhkZWWRS08bcpsB/P1lZWYRdCKNfM+P5N2Js9P3c6Xuitb73V9j5lpQk1EVFJElNIQrw33//AbL0vCp57LHHeO+992SJtdCLwqpWFi5cSM+ePTl//jw3btzAzMwMBwcHXF1dafRA0664uDi6dOmCj48PixYtMsRpiEqssg0Jyq19+/b4+vqyadMmpk+fzosvvmjokCqPy5dRv/kmXveWZR963I7JQxoS56R8oGKFaYWbWC5KJyAggGeffZb69etz+/ZtVqxYwa5du9i+fTvNmjXD3d2dESNGMGvWLGrWrMn69euJiIhg8+bNAOzfv5+//vqLLl26UK1aNfbv38/o0aN57bXXKt2gzieeeIKVK1cSGRlp6FBEMRVWuViUoioXjb0SUhLqoiKSVxpCFECSmkIIfdJWreTm5OQEKEtl4+Pj6dfv/ovIK1eu0KVLF9q1a8fSpUtlQJPQu8qc1ARlEvqmTZtYuXIlPj6yJE5vxo7FJCKCu2Yw18+Vdd3d0JjkXdFSESeWi5KLj49n8ODBXL16lerVq+Pp6cn27dvpca9MMSwsjM8//xxfX1/u3LmDu7s7y5Yt07W9sLS0ZNWqVUyaNImMjAwee+wxRo8enaedSmWh/b9o//79qNVq+dteAeh7ebdUQgqhf5LUFKIAktQUQpRUUVUrAEuXLqV58+Y4Ozuzf/9+PvzwQ0aPHq3rG3blyhU6d+5MgwYNmDVrlm6ZMICr68MnWwpRHJU9qdmuXTtdteaaNWse2r5BFE/21zM4dHQrY55Rkda4ToHbFGfJpKg8Fi9eXOT9TZo0Yd26dYXe37ZtWw4cOKDvsIxSq1atsLW1JTk5mX/++YeWLVsaOiTxEPpe3i2VkELon3w8JEQBcvfUFEKIR6GtWmnatCndunUjOjo6T9XK6dOnee6552jevDlTpkxh3LhxeYYARUREcO7cOX7//Xfq1q1L7dq1dRch9KWyJzVBqdYE+PPPPzl9+rSBo6mgfvsN3n9fdzUs+SDPD7YgsUHRvQ5zV2sKIRRmZmZ06tQJQJagCyGEnkhSU4gCSKWmEKKkFi9eTGxsLBkZGcTHx7Njxw5dQhNgxowZXLt2jczMTM6cOYO/v3+egWRvvPEGGo2mwIsQ+hIXFwcog4Iqq3bt2tG3b1/UajXTpk0zdDh6o9aoORh3ELWm8EErxd1P7q953LoFr70GAwbA/PmwZUuJB1xkq7OL3FaIqkS7BF2SmkIIoR+S1BTiARqNRpKaQgghKrWqUKkJMH78eABWr17NqVOnDByNfmw+s5nBoYPZfGZzqfaz7dy2PF/v37ENWraE5cvBxATGjoXu3fMNuHjYJUeToxtwIYRQSFJTCCH0S5rcCPGAhIQE0tPTUalU1K1b19DhCCGEEHp19+5dkpOTgcqf1GzTpg0dO3YkKiqKL7/8kl9//dXQIZWKtlryUsqlUvWszFZns+jQIt62f5sf/v6BPs36YJZ6F8aMgYULlY0efxx+/hnuLZfV98AMIaoib29vAM6ePUtCQgLOzs4GjkgIISo2SWoK8QBtlWbt2rWxsLAwcDRCCCGEfmmrNK2srKhevbqBoyl7L7/8MlFRUaxcuZIvvviCZs2aGTqkEgs7G8aJhBO42rqWasJ42NkwTt04BfZwMuGksp/hs+DPP5UNPvwQpk0DGxvdY/Q9MEOIqsjBwQEPDw9OnDjB/v376ddP/k0JIURplPny86CgIDw9PbG3t8fe3h5vb2+2bt2qu//atWu8/vrruLq6YmtrS9u2bfNNyEtMTGTQoEHY29vj4ODAsGHDuHPnTlmHLqooWXouhBCiMsu99Dx3P9fKqlGjRvj6+qJWq5k6daqhwymx3D0tq1tVL3HPytz7AXT7yQn4HBo2hD/+gG+/zZPQFELoj3YJ+r59+wwciRBCVHxlntSsW7cuM2bM4NChQxw8eJCuXbvi5+fHiRMnABg8eDCnT59m48aNHDt2jOeff56BAwdy+PBh3T4GDRrEiRMniIiIYPPmzezZs4e33367rEMXVZRMPhdCCFGZVZV+mrl98cUXAKxcubLC9tbUVmk6WjtinqWmHtW58u9Rfo9cDpcuwYULcPo0PHh+R47Ajh2wdSts3Mjh+V/QOPwgb0VnU/vAAWpY1+B4/HG2NMpWHtu5s0HOT4iqQvpqCiGE/pT58nNfX9881wMDAwkKCuLAgQN4eHgQGRlJUFAQHTt2BJQXnXPmzOHQoUO0adOGkydPsm3bNqKjo2nfvj0A3333Hb1792bWrFmFTu3MyMggIyNDdz0lJQWArKwssrKK3wsoN+3jSvp4fTOmeIwpFihdPLGxsQDUqVNHL+dTmZ4bfTOmWMC44jGmWMB44jH08YWoDKpiUrNNmzb4+fmxYcMGpk6dyvLlyw0d0iPJXV1ZTWPB9k+PYp+Wc+/eN/JuXL06JCXdv/7JJ0pS854O9y5wiyybedQf34yr5pr7PTrL8kSEELqkZnR0NJmZmdLuSgghSqFcX7fk5OQQEhJCamqqrkmyj48Pq1evpk+fPjg4OLBmzRrS09PpfO9T4v379+Pg4KBLaAJ0794dExMT/vrrL/r371/gsaZPn87kyZPz3R4eHo5NKZfTRERElOrx+mZM8RhTLFCyeKKilCmdt2/fJiwszKCxlCVjiseYYgHjiseYYgHDx5OWlmbQ4wtRGcTFxQEU+sFwZTVx4kQ2bNig663ZvHnzcj1+YiJERyvf79wJHTqAo+NDHqTRQFQUF5bM4sTjx3G0diTLzIRtHRwZuDtBt5na3AwTcwswN1eSmrk1bgzXr4O5OYk5dzibEqtsZ2aGU6OnSLO6hqOFY6l6dAohiq9JkyY4OTlx48YNDh8+TKd7w7iEEEI8unJJah47dgxvb2/S09Oxs7MjNDSUFi1aALBmzRpeeuklatasiZmZGTY2NoSGhuLu7g4oPTddXFzyBm1mhqOjI9euXSv0mAEBAfj7++uup6SkUK9ePXr27Im9vX2JziMrK4uIiAh69OiBubl5ifahT8YUjzHFUtp4tP22evXqRe/evQ0aS1kwpniMKRZji8eYYjGmeLRV90KIkquKlZqgVGs+99xzrF+/nqlTp7JixYpyOe65c7BkCaxfD+npMGcOjBoFVlbw3HPw5ptw72XvfTdvwq+/wo8/wvHjPA60f7cmVzytAJg9sC7fvliXHBMVl1LjaOXqyZZXtxQ8CT04GFCqPV9e3pvj8bdxq+aGhcqCz1ze4nb8V1hpNLremiWdqC6EKB6VSoWPjw8bN24kMjJSkppCCFEK5fKKpWnTpsTExJCcnMzatWsZMmQIu3fvpkWLFowfP56kpCR27NiBk5MT69evZ+DAgfz555+0atWqxMe0tLTE0tIy3+3m5ualfkOuj33okzHFY0yxQMni0Q4Katy4sV7PpTI8N2XFmGIB44rHmGIBw8djTM+FEBVVVU1qglKtuX79elatWsX48ePLvFpz/34lgXntmjJ3x9lZud3ZGRISlGRnWBgEBYF3J7UypOfHH+G33yAzE4AcSwtCW5qiqeGg22+22f22+I42NYtVZZm7J2dBHK2lWlOI8pI7qTl69GhDhyOEEBVWmQ8KArCwsMDd3Z127doxffp0vLy8mDt3LufPn2f+/PksWbKEbt264eXlxcSJE2nfvj0LFiwAwNXVlfj4+Dz7y87OJjExEVdX1/IIX1Qhd+/eJSFBWc4l08+FEEJURlU5qdm6dWv69++PRqMp80no584pCc3r18HNTVlqbmqq3Gdqqlx3c1PuHzUKrqzcA927w6pVSkKzdWty5s/jhW99+OAVB+LqORR4HCszq4dOQs/dk9PKzKrE+xFC6EfuCegajcbA0QghRMVVLknNB6nVajIyMnS90UxM8oZhamqKWq0GwNvbm6SkJA4dOqS7f+fOnajVainVF3p36dIlAOzs7HBwcDBsMEIIIUQZMPakZmIihIcry7XDw5Xr+jRhwgQAVq1axT///KPfneeyZIlSoVm7NjzwUhdTTTZPJ23EL3EptWsr2wWdeBpat4aRI+HQITh8mC3dGxCVdqbQ6kqt3FWWBXlYlWZx9yOE0I/27dtjZmbG1atXuXjxoqHDEUKICqvMk5oBAQHs2bOH2NhYjh07RkBAALt27WLQoEE0a9YMd3d3RowYQVRUFOfPn+ebb74hIiKC5557DoDmzZvTq1cvhg8fTlRUFPv27eO9997j5ZdfrnIN7kXZ076oaNCgASqVysDRCCGEEPqVmZnJjRs3AONLap47B2PHwpNPwhtvwIgRytcnn1RuP3dOP8cpj2rNxEQlKWtjcz+haarJov7d0zT/5Rd+O9SY2ef9+ODKp1iSgbU1/LbehMQdfytr0du2LVZ1pVZRVZb62o8QQn+sra1p27YtAJGRkQaORgghKq4y76kZHx/P4MGDuXr1KtWrV8fT05Pt27fTo0cPAMLCwvj888/x9fXlzp07uLu7s2zZsjwDWpYvX857771Ht27dMDExYcCAAcybN6+sQxdVkLafpiw9F0IIURldv34dUIYu1qxZ08DR3Pdg70kXF2WJdk4OpKQ80HvSu/THmzhxIqGhoaxevZrx48frBlgWW2oqxMcrA320l8RE3fcxXaaSlFQdFxcYETeBV67PxU59b9BZjPIl0cyZzTXfwEKTTvXqlsTHw6G/Vdx7iUzUlSgu3LpAjiaHSymXihXW+cTzRF2Jwqeej+62wvZjZWIFLnDl9hXS1ekP3Y8QQr98fHyIiooiMjKSV1991dDhCCFEhVTmSc3FixcXeX+TJk1Yt25dkds4OjqW24RKUbVJUlMIIURlFhcXByhVmg+2/zGUB3tP5g7LzEzpPengAFevKtutXVvAtPBH5OXlxfPPP89vv/3GlClTWLVqFZw6pVxyJypzX9avV4IB+OwzuNf/vSDqpu+Sk1Nd10NTm9DMxpSbbb2Ye+dTdtr2J9vEAgBTjZLATU29v4/Wrq2Z/cxssnKyin1e5qbmtHZtnee2QveTA1yA2T1mg+nD9yOE0K8nnniCb7/9Vio1hRCiFMpl+rkQFUXu5edCCCFEZWOM/TS1vScfTGjmZmKi9KaMi4OlSyEw8IENNBq4fVtJPjZooNuRKiKCpitXYhIeDrdu5UlSrklIwBVYs2YN48ePxyMoqMhEJfHx95OaNWuClZXy9cGLoyPmjtV0laZrnUexzXEQSWY1ybC2Y8zn29n1VW+yM811u87JUSpTbW3vH87G3EYvU8gL209WVhZhF8Lo16wf5ubmBTxSCFGWtMOCjhw5wp07d7CzszNwREIIUfFIUlOIXKRSUwghRGVmbEnNgnpPgjJIp376GRyyb1A9+yZ/OviCiRnW1mC65AcyD2/B4nauJd+JiZB1rxLx+nVl/Tqg2rKFZqtXF3hsU+CVHj34LiKCqVOnsuqJJ6BTp4ITlTVrgqvr/QdPmACTJxd6Xq0SwWGqsnTezLE2N82V59tCVXDVZXKyUo3arl1xnzkhREXn5uZGgwYNuHjxIlFRUXTt2tXQIQkhRIUjSU0hcpGkphBCiMqsrJOaiYkQHa18v3MndOhwv7ixIAcPQlKSkoM0V2fQ8fbvdLn1G/+XvIEa2Td02/XwvM4tcxeqV4eG8Uex2Lqh4B1aWysZwntJTc2TT/LvhQvU9/LC1MUlX6Jy+O3bfBcRcb9a8/33i3eipqZF3u3oCM89p1ShOjgUXoEKoFbD3bvw6qtFP1dCiMrHx8eHixcvsm/fPklqCiFECUhSU4h71Go1ly4pDfQlqSmEEKIyKquk5rlzSgJv/XpIT4c5c5T+l1ZWSnLvzTcL7oOZlqYsvX7l5nzejRuLnfq27r5UEztumNcm2awmFpoMQMklrrcYSNvXPWjdrYBqSmvrPPvXvPACR21sqNu7N6YFLLFuBQwYMIB169YxZcoUVhdS1VkSb76pDDe6elVZOl9QYlOtVu53dYWhQ/V2aCFEBeHj48PKlSulr6YQQpSQJDWFuOf69etkZmZiYmJCnTp1DB2OEEIIoXdlkdR8cHK5s7Nyu7MzJCQUMLk8KQm2bAFvb2xsGmFqCjdMa2Gnvk2CeW3+cHienQ7Pc7ja0+So8r5UzcmBg9ZPkTDgKeihn/gnTJjAunXrCAkJYfz48bRs2VIv+3V3V8551CilF6i1ta6AlJwcZdX83btKQjMoqPTDj4QQFY+2r+b+/ftRq9VGM8BNCCEqCvlfU4h7tEvP69Spg5mZ5PuFECUTFBSEp6cn9vb22Nvb4+3tzdatW3X3nz9/nv79++Ps7Iy9vT0DBw7k+vXrefaRmJjIoEGDsLe3x8HBgWHDhnHnzp3yPhVRCek7qfng5HJHx/srs01NletubpAdF0/EwB9I/b9nlczea6/B8uW0b68szw6jN0ObRtK71WW+rj+fg/Zd8yU0oWx6T3p6evLCCy+g0WiYOnWq/naMksRduxaGDVOSmgkJyu0JCcr1YcOU+7299XpYIUQF4enpia2tLcnJyZw8edLQ4QghRIUjSU0h7pF+mkIIfahbty4zZszg0KFDHDx4kK5du+Ln58eJEydITU2lZ8+eqFQqdu7cyb59+8jMzMTX1xe1Wq3bx6BBgzhx4gQRERFs3ryZPXv28PbbbxvwrERlERcXBygDKvRBO7m8oOXVljlpvBQ/jx/OduZIQm0mXH4b2z3blIE+Hh5Qq5au9+TNdFuO2HijURX+0lTbe7J/f/33npwwYQIAISEhHD9+XK/7dndXprXv3QvBwcptwcHK9cBAqdAUoiozMzOjU6dOALIEXQghSkDK0YS45+LFiwA0aNDAwJEIISoyX1/fPNcDAwMJCgriwIEDXLlyhdjYWA4fPoy9vT0Ay5Yto0aNGuzcuZPu3btz8uRJtm3bRnR0NO3btwfgu+++o3fv3syaNavQZFRGRgYZGRm66ykpKQBkZWWRlVXwxOWH0T6upI/XJ2OKBYwrnuLGkpOTQ3x8PABOTk6ljv3WLdi6FWrUUHpngjK13NRCA4CZpZpRceOxy1F+F49ZtWNXjed4de1z2Hdoqg2eIUPg998hPh5q1Sq89+T169CgAQwefH/Q+cMU97lp1qwZzz//PL/99huTJk1i5cqVxTvAI6hWDZ58MouICOWruXnxz6MsGNPvMBhXPMYYi6i8fHx82LlzJ5GRkQwfPtzQ4QghRIUiSU0h7pFKTSGEvuXk5BASEkJqaire3t6cP38elUqFpaWlbhsrKytMTEzYu3cv3bt3Z//+/Tg4OOgSmgDdu3fHxMSEv/76i/79+xd4rOnTpzN58uR8t4eHh2NjY1Oq84iIiCjV4/XJmGIB44rnYbEkJibqerYdPHgQ04dM8C6OSZMAjQbHkyd5bOtW7OLi2D1rFqDivY/3cKm+L9mWllz93/+46+JCfWBvwnkIO59nP2PHFv+Yp04pl0dRnJ/T008/zW+//ca6desICgoq0w85K9LvTXkzpniMIZa0tDRDhyDKmLav5r59+wwciRBCVDyS1BTiHklqCiH05dixY3h7e5Oeno6dnR2hoaG0aNECZ2dnbG1t+eyzz5g2bRoajYbPP/+cnJwcXa/Da9eu4aKdJnKPmZkZjo6OXLt2rdBjBgQE4O/vr7uekpJCvXr16Nmzp64q9FFlZWURERFBjx49MC9gcnR5MqZYjC2e4sZy+PBhAFxcXPJVFN+6BYcPK8u7ra2hTRulArMo29alsu/dlQxLD6JJ2jHd7ZunOtN3wg3mzOlBZmZv5caToNEoA3PmzoU+ffLv78IF+PVX2LxZ6Z2Zk6P05axeHfr2VdpwNmpUvOdE61F/Tn/++Sfr1q1j9+7drFq16tEOVgbxlCVjisXY4jGmWLRV96Ly+t///gfA2bNnSUhIwFk7bU0IIcRDSVJTiHu0y88lqSmEKK2mTZsSExNDcnIya9euZciQIezevZsWLVoQEhLCqFGjmDdvHiYmJrzyyiu0bdu21BNPLS0t81SAapmbm5f6Tbk+9qEvxhQLGFc8D4sl4d6Umtq1a+u2O3dO6Yu5fr0ylFybSHRwUHpdvvlmAT0fY2Nh7lx6/bAU39RkANJV1mxzfJUQl3f517IlfQkjM9OczMz78WRnK8utbW2hoDCbNoWpU2H0aDh0CFJTlW3btSt9D83i/pwmTZrEunXr+O233zh16hStWrUq3YFLGU95MKZYwLjiMYZYDH18UfZq1KhBixYt+Oeff9i/fz/9+vUzdEhCCFFhSFJTiHu0lZrSU1MIUVoWFha438sEtWvXjujoaObOncvChQvp2bMn58+f58aNG5iZmeHg4ICrqyuN7pWgubq66voeamVnZ5OYmIirq2u5n4uoPB6cfL5/vzK5/No1sLFRhpKbmiqJzZQUJdkZFgZBQQ9M5z51Cr79FnPgP/PG/FLtHXbUG8ptM6W004KCewAWd3K5oyP06FHKky2hli1b8uKLLxISEsKUKVMICQkxTCBCiCrFx8eHf/75h8jISElqCiHEI5Dp50IAd+7cITExEZBKTSGE/qnV6jxDfEAZ1OLg4MDOnTuJj4/XvYnx9vYmKSmJQ4cO6bbduXMnarVaNyFViJLIndQ8d05JaF6/Dm5uSiLRzAxUKuWro6Nye9bVG/w14CsSxn17f0c9e8Jbb8HWrSz8+AzfmfuTbFL0WvWynFyubxMmTEClUrF27VqOHj1q6HCEEFXAE088AcgEdCGEeFRSqSkEcOnSJQCqV69e4t5zQggBSm/LZ599lvr163P79m1WrFjBrl272L59OwBLly6lefPmODs7s3//fj788ENGjx5N06bKNOjmzZvTq1cvhg8fTnBwMFlZWbz33nu8/PLLhU4+LwsHDhxgzZo1XLlyhWPHjlGtWjWsra2xtrbGxsamwK+5v7e0tESlUpVbvOLh4uLiAHBzc2PJEqVC082t4GnjLVKjGRg/nx63VmOpySB1jhOMH6mMOTcxgR9+AGCoO2zZClevQu3ahU8uv3oVXF1h6NCyPEP90FZrrlmzhilTprB27VpDhySEqOS0w4Kio6PJzMzEwsLCwBEJIUTFIElNIbjfT1OWngshSis+Pp7Bgwdz9epVqlevjqenJ9u3b6fHvfW0p0+fJiAggMTERBo2bMi4ceMYPXp0nn0sX76c9957j27dumFiYsKAAQOYN29euZ7H4cOHmTNnDgBr1qx55MerVKpHSoIWdZuNjQ3m5ub5luWLR6Ot1LS3r82SJcqS89xJSAt1Oj1urWZg/AI80qJ1tx+1aMdqh3f5OMkExwc6ILi7K8vTR41ShgBZWyvL2EFZxn7zplKh6eqqbJevP6eRmjBhAiEhIaxbt46jR4/i6elp6JCEEJVYkyZNqFmzJjdv3uTw4cOyMkMIIYpJkppCIJPPhRD6s3jx4iLvnzFjBjNmzChyG0dHR1asWKHPsB6Zl5cX/v7+nDp1ChcXF9LT07l79y5paWncvXs3z/e5v+bk5ACg0WhIS0sjLS2Nmzdv6iUmc3NzOnToQOvWrfWyv8ogMRGi7+Ufd+6EDh0KX96tTWreuVObpKT7yUetN67N4O2rkwHIVFkQUeMl1ri8yxGLjsQnqOh8DHoU0NbV2xvWroWlSyE0FO7NIyIhQUlyvvqqUqFZURKaAB4eHgwcOJDVq1dLtaYQosypVCp8fHzYtGkTkZGRktQUQohikqSmEEhSUwghHuTj40OHDh0ICwujd+/exZ7Am5WV9dDkZ0luu3TpEteuXWPMmDGEh4dX+aXtuaeWp6fDnDlKtaSVVeFTy7VJTUdsGHBnGQPSQgl1fpt91XsDsKe6L743l7LOaSQbnIZxy1zJeppqlKrL1NTC43F3h8BA+PhjOHhQqc4MDob27Y2/h2Zhxo8fz5o1a1i3bh1HjhzBy8vL0CEJISqx3EnNB1dwCCGEKJgkNYVAlp8LIYS+mJubY25urvf+xKdOnaJVq1bs2LGDsLAw+vTpo9f9VyQPTi13dlZud3ZWqiMLmlqu+e8/nr9yBV+gy9TemKiVitrbZg66pOYpm7b4tbyAWmWa53g5OcpUdFvbh8fm6AhduijH79IFipkLN0oPVmuuW7fO0CEJISoxbV/NyMhINBpNlf/wTgghikOmnwuBVGoKIYSxa9y4Mb6+vgD4+/uTmZlp4IgMo6Cp5ab3cpCmpvenll+/rmx3PuY2dOiAqkEDvlWr6QaYqHM4ZenJXIeJ/Frrk/s7V6nyJTQBkpPBwQHatSuXUzQq2knov/32G0eOHDF0OEKISqxDhw6YmZkRFxene28ihBCiaJLUFAJJagohREXw4osv4uLiwpkzZ/j+++8NHY5BaKeWFzRpXKVR45H6F31v/ULt2sp2S0KqQVoaGpWKvcAEGxs4f56f/Y8w3XISZy1bFnk8tVpZSt6/f8VdRl4aLVq04KWXXgJg8uTJBo5GCOMTFBSEp6cn9vb22Nvb4+3tzdatW3X3X7t2jddffx1XV1dsbW1p27ZtvqrnxMREBg0ahL29PQ4ODgwbNow7d+6U96kYnLW1NW3btgWUak0hhBAPJ0lNUeXl5ORw+fJlQJKaQghhzGxsbJgyZQqgJJhu3Lhh4IjKV2Ki0kMzz9RyjYZWKZF4Bgez/lAjlp36HwH/jcSau1hbK4N7kuf+xK4VK3gKWN+4MTRqxJtvKhPJr15VEpcFUauV+11dlUE/VdX48eNRqVSEhoYSExNj6HCEMCp169ZlxowZHDp0iIMHD9K1a1f8/Pw4ceIEAIMHD+b06dNs3LiRY8eO8fzzzzNw4EAOHz6s28egQYM4ceIEERERbN68mT179vD2228b6pQMSrsEfd++fQaORAghKgZJaooq7+rVq2RnZ2NmZkbt2rUNHY4QQogiDBkyBC8vL5KSkpg4caKhwylXBw9CUhLY24OpJpseiatZdqoTC0905rFt23DOiiPVxI4/q/elWvYtqldXto/SdOBiejqA7u+cu7vSc7NWLYiLg5s3ITsbNBrl682byu21ainbVaTJ5fqWu1pTm1QXQih8fX3p3bs3TZo04fHHHycwMBA7OzsOHDgAKBWH77//Ph07dqRRo0Z88cUXODg4cOjQIQBOnjzJtm3b+PHHH+nUqRNPPvkk3333HatWrSIuLs6Qp2YQuftqCiGEeDgZFCSqPO3S87p162Jqmr+XmBBCCONhamrKnDlz6Nq1K8HBwYwaNYqWLYteQl1ZpKXdH9oz+NrXvBs3DoAMlSXXuzzB3LgPibR+hiwTSyDv1HLt5PPcH955e8PatbB0qVLRGR9/f/8ODvDqq0qFZlVOaGpNmDCB1atX66o1W7dubeiQhDA6OTk5hISEkJqaive9KWU+Pj6sXr2aPn364ODgwJo1a0hPT6dz584A7N+/HwcHB9q3b6/bT/fu3TExMeGvv/6if//+BR4rIyODjIwM3fWUlBQAsrKyyMrKKlH82seV9PH6oH0ejhw5wq1bt7Czs9PdZwzxFcWY4zPm2EDiKw1jjg0kvkdVkjgkqSmqPOmnKYQQFUuXLl3o378/oaGh+Pv7s3379go3JTYxUam8TEtTlpO3b/+QnpWxsTjHp2Jq6kFODmyq+QYDEoLY4PQWG+u8xdsfHGT/V8+SlXl/3HjuqeUFJTVBSVgGBsLHH8OhQ0oC1NZWGQpUFXtoFqZ58+a8/PLLrFy5ksmTJxMaGmrokIQwGseOHcPb25v09HTs7OwIDQ2lRYsWAKxZs4aXXnqJmjVrYmZmho2NDaGhobjf+7Tk2rVruLi45NmfmZkZjo6OXLt2rdBjTp8+vcA+t+Hh4djY2JTqfCIiIkr1+NJydnYmISGB+fPn4+npme9+Q8f3MMYcnzHHBhJfaRhzbCDxFVdaWtojP0aSmqLKu3jxIgANGjQwcCRCCCGKa+bMmWzZsoWIiAjCwsLo06ePoUMqlnPnlGE/69crS8NzV0Y+9xy8+eYDlZF//QXffAPr1tHx/7rj4LCdlBQwc3SjX6tY1CpTLMwL/lQ799TyRYsKTmpqOTpCjx56PNFKaPz48axatYr169dz+PBh2rRpY+iQhDAKTZs2JSYmhuTkZNauXcuQIUPYvXs3LVq0YPz48SQlJbFjxw6cnJxYv349AwcO5M8//6RVq1YlPmZAQAD+/v666ykpKdSrV4+ePXtib29fon1mZWURERFBjx49MDc3f/gDykjXrl1ZvXo1arWa3r17G118hTHm+Iw5NpD4SsOYYwOJ71Fpq+4fhSQ1RZUnlZpCCFHxNG7cmI8++oivv/4af39/evTogYWFhaHDKtL+/TBqlDKV3MYGXFyUhGZODqSkKMnOsDAImp+D9/X1MHs25OqrZm6m4YW+6Sz62QoHB8Ck8JYp2qnlr76qJCwLq9QUxZe7WnPKlClSrSnEPRYWFrrKy3bt2hEdHc3cuXP59NNPmT9/PsePH8fDwwMALy8v/vzzTxYsWEBwcDCurq7Ex8fn2V92djaJiYm4uroWekxLS0ssLS3z3W5ubl7qN+b62EdpPPnkk6xevZq//vqrwDgMHd/DGHN8xhwbSHylYcyxgcT3KHE8qjIfFBQUFISnpyf29vbY29vj7e3N1q1bAYiNjUWlUhV4CQkJ0e2joPtXrVpV1qGLKkKSmkIIUTGNGzcOFxcXzpw5w/fff2/ocIp07pyS0Lx+HdzclESjmRmoVMpXR0fl9k6xq6nXrQm88IKS0LSwUBpbHj0K4eEMftuqRFPLJampHxMmTEClUumqNYUQ+anVajIyMnTLCE1M8r7lNDU1RX3vPzBvb2+SkpJ0g4MAdu7ciVqtplOnTuUXtBHRDgvav3+/7nkSQghRsDJPatatW5cZM2Zw6NAhDh48SNeuXfHz8+PEiRPUq1ePq1ev5rlMnjwZOzs7nn322Tz7Wbp0aZ7tnnvuubIOXVQRnuJ1SAABAABJREFUsvxcCCEqJnt7ewIDAwGYPHkyN27cMHBEhVuyRKnQrF0bTAp59WViArWrp1E3819SrWvCF1/AxYvKg+8t0yxoanlOjvL4nJyCp5ZrNBrdFGE3N7fyON1Kq1mzZrzyyisABfbzE6KqCQgIYM+ePcTGxnLs2DECAgLYtWsXgwYNolmzZri7uzNixAiioqI4f/4833zzDREREbr3cs2bN6dXr14MHz6cqKgo9u3bx3vvvcfLL79cZf+/8vT0xMbGhqSkJE6ePGnocIQQwqiVeVLT19eX3r1706RJEx5//HECAwOxs7PjwIEDmJqa4urqmucSGhrKwIED80x6A3BwcMiznZWVVVmHLqoIqdQUQoiKa+jQoXh5eZGUlMTEiRMNHU6BEhOVHpo2NmDNXRqkn6ZTSjjPJfzAlxde5fmEhbptt9d8lc9r/sBT9f8jcfRUpdzyAdqp5cOGgbU1JCQotyckKNeHDVPuvzd8mOTkZNLT0wGp1NSH8ePHY2JiwoYNG6RaU1R58fHxDB48mKZNm9KtWzeio6PZvn27rj9bWFgYzs7O+Pr64unpyc8//8yyZcvy9Ipcvnw5zZo1o1u3bvTu3Zsnn3ySRYsWGfCsDMvMzExXpRqZqwWJEEKI/Mq1p2ZOTg4hISGkpqbirX2lncuhQ4eIiYlhwYIF+e579913eeutt2jUqBEjR45k6NChRU46zcjIICMjQ3dd23A0KyurxOPqjXXcvTHEY0yxQPHjSU5OJjk5GQBXV9cyib+iPjflwZhiAeOKx5hiAeOJx9DHF4aRmAjR0cr3O3dChw73J3ObmpoyZ84cunbtSnBwMKNGjaJly5aGCzYpSamuVKvh3iCZg1Fqfj73BI9pLlDz3/h8D2mRFk2o03A0KhOyTCzZVvct4uOVaeSFDe/JPbX84EGlf2ZwcMFT1LVLz6tXr461tbU+z7ZK0lZrLl++nEmTJrFhwwZDhySEwSxevLjI+5s0acK6deuK3MbR0ZEVK1boM6wKz8fHhz/++IPIyEiGDx9u6HCEEMJolUtS89ixY3h7e5Oeno6dnR2hoaG0aNEi33aLFy+mefPmuj4iWlOmTKFr167Y2NgQHh7OO++8w507d/jggw8KPeb06dMLXBYUHh6OjY1Nqc7HWMbdaxlTPMYUCzw8ntjYWACqVavGnj17DBpLeTOmeIwpFjCueIwpFjB8PNr+XKJqyD0pPD0d5sxR+lJaWeWdFN6lSxf69+9PaGgo/v7+bN++vcgPPvWl8YYNmGzfDpcuKYnMixeViT8ATz0F9/6upKWb4JFzmZpqJaGZamLHNYsGXLVowH9WTdhScwga1f3FM9rhQampD4/B0RG6dFEGDHXpAgX1V5d+mvr3xRdfsHLlSjZu3Mjff/9N27ZtDR2SEKISeeKJJwCp1BRCiIcpl6Rm06ZNiYmJITk5mbVr1zJkyBB2796dJ7F59+5dVqxYwfjx4/M9Pvdtbdq0ITU1lZkzZxaZ1AwICMDf3193PSUlhXr16tGzZ0/s7e1LdB7GNu7emOIxplgeJZ6wsDBAmaKbexmMIWIpL8YUjzHFYmzxGFMsxhSPtupeVH4PTgp3dlZud3ZWllnrJoUHKcusZ86cyZYtW4iIiCAsLIw+ffqU7MCxscpFm6TMfXnsMQgP123aeONGTG/ezL8PJyeU8eQKGxt4z2E5FjWrkWDTgBTTGsqEoELk5CiJTVvbkp3CgySpqX+5qzUnT54s1ZpCCL363//+B8CZM2e4ceMGTk5OBo5ICCGMU7kkNS0sLHB3dwegXbt2REdHM3fuXBYuvN9Dau3ataSlpTF48OCH7q9Tp05MnTqVjIwMLC0tC9zG0tKywPv0MareWMbdaxlTPMYUCzw8Hu3ghAYNGpR53BXtuSlPxhQLGFc8xhQLGD4eY3ouRNl5cFK4iYmS5APlq6OjkjO8elXZbu1acHdvzEcffcTXX3+Nv78/PXr0wMLCIu+OU1PzJyqtrWHChPvbPPUUXL5ccGCZmXmuXuzRgyb162PaqBE0aKBc6tfPl41s3x5O13qa9HRwLMYrr+Rk5fzatXv4tsUhSc2yMX78eKnWFEKUiRo1atCiRQv++ecf9u/fj6+vr6FDEkIIo1Tmg4IKolar8/S7BGXpeb9+/XDWlmIUISYmhho1ahSa0BSiuGRIkBBCGJ9iTwqvrWy3dCmg0fDFqFF0q1EDlzNn+P777+9v3LevUj1pZwceHtC7t5INnTEDHuwH17QpNGkC3bsrE3emTIFly+CPP2D37jybnn75ZdRffgkjRkCvXtC8eYHllY6OynL5tDSl1WZR1GqlP2b//vl7Y5aUJDXLRtOmTXn11VcBmDRpkmGDEUJUOtqWbPv27TNwJEIIYbzKvFIzICCAZ599lvr163P79m1WrFjBrl272L59u26bc+fOsWfPHt1S4Nw2bdrE9evX+d///oeVlRURERFMmzaNTz75pKxDF1XAxYsXAaVSUwghhOHlnhReWEITYEBCME3SjlAz9SL1Zl1EM/c/qqXeYQcQC7SZPJnXXntNWbKXlATaZeL29verKhs0gEaN8u54x44yOa8331SWy1+9WniyVq1W7nd1haFD9Xds7aoENzc3/e1UAEpvzRUrVrBp0yYOHTpEO32V1wohqjwfHx9+/PFH6asphBBFKPNKzfj4eAYPHkzTpk3p1q0b0dHRbN++nR65xnkuWbKEunXr0rNnz3yPNzc3Z8GCBXh7e9O6dWsWLlzI7NmzmThxYlmHLqoAqdQUQuhbUFAQnp6e2NvbY29vj7e3N1u3btXdf+3aNV5//XVcXV2xtbWlbdu2+SbDnjlzBj8/P5ycnLC3t+fJJ5/kjz/+KO9TMYiDB5UcZO72151SInjz0tQ82/W++TMv3Aimy92tuGf+gyr1DgCaWrW4ZWNDUlLS/dcK8+ZBTAzcuqWs7T56FDZtgvnzIVf/7bLk7q70/6xVC+LilBxrdjZoNMrXmzeV22vVUra717VHL6RSs+zkrtYsaEClEEKUlLZSMzo6mswH2p8IIYRQlHlSc/HixcTGxpKRkUF8fDw7duzIk9AEmDZtGv/99x8mBZQt9OrVi8OHD3P79m3u3LlDTEwMI0aMKHBbIR6VJDWFEPpWt25dZsyYwaFDhzh48CBdu3bFz8+PEydOADB48GBOnz7Nxo0bOXbsGM8//zwDBw7k8OHDun307duX7Oxsdu7cyaFDh/Dy8qJv375cu3bNUKdVbtLS7g/KqZt+jm/O+bHgbE/eujwVhzNndNuF1XydH12/YGr9H3jRIZyI+achLQ3VtWskbd4MQHBwMMePH4e2bcHLK8/wHkPw9lb6fw4bprTyjI9X2nfGxyvXhw1T7vf21u9xJalZtsaPH4+JiQmbNm3i4MGDhg5HCFFJPP7449SsWZP09HRiYmIMHY4QQhilchkUJIQxysrK4sqVK4AkNYUQ+vNgM//AwECCgoI4cOAAHh4eREZGEhQURMeOHQFl+eqcOXM4dOgQbdq04caNG5w9e5bFixfj6ekJwIwZM/j+++85fvw4rq6uBR43IyMjT79q7aT4rKwssrKySnQu2seV9PElYW0NLta3+eDqdF65Ng8LTSbZKjNC3UZg4+aGhYUSy6Y6bwFKAjTBFDRNIMsMyMriySefxM/Pjw0bNjB69Gi2bNmCqohp4yVR0uemQQOYNAk+/FApHk1LU5bat24NNWpo963fWLRJTScnp3L5WRri96Yw5RHLY489ppuEPnHiRNavX2/QeIrLmGIB44rHGGMRVY9KpcLHx4dNmzYRGRlJmzZtDB2SEEIYHUlqiiorLi4OtVqNhYUFtWrVMnQ4QohKKCcnh5CQEFJTU/G+V37n4+PD6tWr6dOnDw4ODqxZs4b09HQ6d+4MQM2aNWnatCk///wzbdu2xdLSkoULF+Li4lJkv77p06cXuPw1PDwcGxubUp1HREREqR5fbGo19XbtIjrlF6xu3QLgeps2HH/zTSzq1SMbGD264Fju3lV6Vmr16tWLLVu2sGPHDqZOnUr79u3LJOTSPjcqlRL7/v1lE0t6ejq3b98G4NixY5w/f770BypFPIZS1rH4+PiwcuVKwsLCmDdvHu4P6R9QlZ6bR2VM8RhDLGlpaYYOQRhQ7qTmu+++a+hwhBDC6EhSU1RZ2qXn9erVk3YGQgi9OnbsGN7e3qSnp2NnZ0doaCgtWrQAYM2aNbz00kvUrFkTMzMzbGxsCA0N1SVBVCoVO3bs4LnnnqNatWqYmJjg4uLCtm3bqKEt5StAQEAA/rn6Q6akpFCvXj169uyJfe4GlY8gKyuLiIgIevTogbm5eYn28UiSkzEbMQLVrVv8a+bO/EYz2W/ZG1aosLDIYvToCObM6UFmphKLWq1MP3/9dZgwIf/uzp07xzfffMPq1av5/PPPsbCw0Fuo5f7clDCWc+fOAWBjY8OAAQP0XrH6qPGUt/KMZf/+/fz666/s3LmTDz74wODxPIwxxWJs8RhTLNqqe1E15Z6ArtFoDByNEEIYH0lqiipLO/lclp4LIfStadOmxMTEkJyczNq1axkyZAi7d++mRYsWjB8/nqSkJHbs2IGTkxPr169n4MCB/Pnnn7Rq1QqNRsO7776Li4sLf/75J9bW1vz444/4+voSHR1daF9ES0tLLC0t891ubm5e6jfl+thHoeLjwdlZKVl0coJvvuHG8WsM3PoBlxMsqW2bd1J4ZqY5mZnmuknhtWrBkCFQUHgTJkzgl19+4ezZs/zwww989NFHeg+/TJ+bR1RQLDdu3ACUfpr6TOqWNB5DKY9YJkyYwIoVKwgLCyMmJoYOHToYNJ7iMqZYwLjiMYZYDH18YVjt27fHzMyMuLg4XUGGEEKI+6Q8TVRZ2hcGDRo0MHAkQojKxsLCAnd3d9q1a8f06dPx8vJi7ty5nD9/nvnz57NkyRK6deuGl5cXEydOpH379ixYsACAnTt3snnzZlatWsUTTzxB27Zt+f7777G2tmbZsmUGPjM9Sk+H6dOhUSMICbl/++uv4/TVGOYttMwzKTwnR7k7J6f4k8Lt7e0JDAwElMnU2gRfVRIXFweAm5ubgSOp/Jo0acJrr70GyCR0IYR+2NjY6Hpp7tdHnxIhhKhkJKkpqiyZfC6EKC9qtZqMjAxdb7QHW16YmpqiVqsBCt3GxMREt02FptFAaCi0aAFjx0JqKqxbl2+zByeFJyQotyckPNqk8KFDh+Ll5UVSUhKTJk3S//kYOZl8Xr6++OILTE1N2bJlC9HR0YYORwhRCWiXoB84cMDAkQghhPGRpKaosiSpKYQoCwEBAezZs4fY2FiOHTtGQEAAu3btYtCgQTRr1gx3d3dGjBhBVFQU58+f55tvviEiIoLnnnsOAG9vb2rUqMGQIUM4cuQIZ86cYcyYMfz777/06dPHsCdXWsePQ48e8Pzz8O+/4OYGv/4Kq1YVuLm7OwQGwt69EBys3BYcrFwPDCy8QjM3U1NT5syZc++xwZw4cUJfZ1MhSFKzfOWu1qyKSXQhhP498cQTgFRqCiFEQSSpKaosbU9NWX4uhNCn+Ph4Bg8eTNOmTenWrRvR0dFs375dN3AiLCwMZ2dnfH198fT05Oeff2bZsmX07t0bACcnJ7Zt28adO3fo2rUr7du3Z+/evWzYsAEvLy8Dn10pzJoFXl7w++9gaQnjxsHp0zBokNJPswiOjtCli/J9ly7K9UfRpUsX+vfvT05ODqNHj65SwxYkqVn+tNWaYWFhREVFGTocIUQF531vScLRo0e5e/eugaMRQgjjIoOCRJWk0WikUlMIUSYWL15c5P1NmjRhXQHLrXNr374927dv12dYhtemjTKu/PnnlQTnY4+V6+FnzpzJli1biIiIICwsrOJXvRaTJDXLn7u7O6+99hrLli1j8uTJbNmyxdAhCSEqsLp161K/fn3+++8/zp49a+hwhBDCqEilpqiSkpKSuHPnDgD16tUzcDRCCFEJ7dwJP/10/3q3bnDkiNI/s5wTmgCNGzfWTT/39/cnMzOz3GMwBElqGkbuas2//vrL0OEIISo4bV/NU6dOGTgSIYQwLpLUFFWSdum5s7Mz1tbWBo5GCCEqkX//hQEDlCTme+8pY8q1PD0NFxcwbtw4XFxcOHPmDN9//71BYykvktQ0DHd3d15//XVAJqELIUpPkppCCFEwSWqKKkm79Fz6aQohhJ7cuaP0yWzeHH77DUxNYehQZVS5kbC3tycwMBBQEk03btwwcERlKz09ncTERADc3NwMHE3VM27cOExNTdm6datUawohSuXJJ58E4Pjx48THxxs4GiGEMB6S1BRVkvTTFEIIPdFolAnmTZvCtGmQkaFUacbEwHffQY0aho4wj6FDh+Ll5UVSUlKln0597do1ACwtLalhZD+HqkCqNYUQ+tK6dWvat29PZmYm8+bNM3Q4QghhNCSpKaok7fJzSWoKIUTBEhOVtpigfL1X8JffxYvw5pvKMvNGjSA0FCIioGXLcov1UZiamjJnzhwAgoODOXHihIEjKjvapeeurq6oHjJhXpQNbW/NrVu3cuDAAUOHI4SooFQqFQEBAQAEBQVx69YtA0ckhBDGQZKaokqS5edCCFGwc+dg7Fh48kkYNUq5bdQo5frYscr93Bu0BkDDhsqy82nT4MQJeO45MPIEWpcuXejfvz85OTmMHj0ajUZj6JDKhPTTNLzGjRszePBgQKo1hRCl06dPHxo0aMDt27eZP3++ocMRQgijIElNUSXJ8nMhhMhv/3544QVYsgTS08HZWbnd2Vm5/uviDDY//TXZtevCoUP3HzhxIgQEgJWVYQIvgZkzZ2JhYUFERARhYWGGDqdMSFLTOGh7a27btk16awohSszExIQXX3wRgG+//ZY7uT9gFEKIKkqSmqJKkqSmEELkde6cUpF5/Tq4uYGjozLrB8DURIOfySb2Jrfko6ufYXYnmeTZiw0bcCk1btyYjz76CAB/f38yMzMNG1AZkKSmcWjcuDFDhgwBYOrUqQaORghRkXl7e9OkSRMSExMJDg42dDhCCGFwktQUVU5mZqbujZ4kNYUQQrFkCVy7BrVrg0muVwd2ly4x+6Qvc873o37GORLMXPnA/idmNqj4S9/GjRuHi4sLZ86c4fvvvzd0OHqn/Vsnk88NT1utGR4ezqlTpwwdjhCigjI1NeWzzz4DYNasWdy9e9fAEQkhhGFJUlNUOZcvX0aj0WBlZYWzdm2lEEJUYYmJsH492NjkTWi+eWkqXT78kP8lh5OpsuCnWp8xoOUZNjkO4bf1JoUPD6og7O3tCQwMBJR+hzdu3DBwRPoVFxcHSKWmMWjUqJGuWnPbtm0GjkYIUZG98sorNGjQgOvXr7NkyRJDhyOEEAYlSU1R5eReei7TYIUQAg4ehKQksLfPe3uieS1M1Gr21PBlYIsTzK87gzTTalSvrmyfu61mRTV06FC8vLxISkpi0qRJhg5Hr2T5uXEZOHAgAKdPnzZwJEKIiszc3FxXrfnVV19VyvYpQghRXJLUFFXOxYsXAVl6LoQQWmlpkJNzv4em1sZaw9gbGMjnzdZx2cpdd7upqbJ9amo5B1oGTE1NmTNnDgDBwcGcOHHCwBHpjyQ1jUuHDh0A5eeSWNHLnIUQBjV06FBq167NpUuX+PXXXw0djhBCGIwkNUWVo63UbNCggYEjEUII42Bjcz9RmZtaZcpND49822sToLa25RRgGevSpQv9+/cnJyeH0aNHo9FoDB1SqWVnZ5OQkABIUtNYODo64u6ufDhw8OBBA0cjhKjIrKys+OSTTwCYPn062dnZBo5ICCEMQ5KaosqRyedCCJFX+/bg4AApKcXbPjlZ2b5du7KMqnzNnDkTCwsLIiIiCAsLM3Q4pXb9+nU0Gg2mpqbSP9qIaKs1o6KiDByJEKKiGzFiBDVr1uTcuXOEhIQYOhwhhDAISWqKKkeWnwshRF6OjvDcc8oydLW66G3Varh7F/r3Vx5XWTRu3JiPPvoIAH9//wrfo0y79LxWrVqYmMjLPWOhTWpKpaYQorRsbW0ZPXo0AIGBgagf9gdcCCEqIXmVK6ocWX4uhBD5vfkmuLrC1auFJzbVauV+V1cYOrR84ysP48aNw8XFhTNnzvD9998bOpxS0SY13dzcDByJyE2b1IyOjq4UbQ6EEIb17rvvYm9vz4kTJ9i4caOhwxFCiHInSU1RpWg0Gll+LoQQBXB3h6AgqFUL4uLg5s37PTZzcpTrcXHK/UFByvaVjb29PYGBgQBMnjyZGzduGDiikouLiwOkn6ax8fLywszMjISEBGJjYw0djhCignNwcOD9998H4Msvv5QPSyqghIQEmjRpwrRp0wwdihAVkiQ1RZVy8+ZN7t69C0DdunUNHI0QQhgXb29YuxaGDQNra7g3Z4aEBOX6sGHK/d7eho2zLA0dOhQvLy+SkpKYNGmSocMpMZl8bpysrKxo2LAhIH01q4LQ0FBSitusWIgS+uijj7CxseHQoUNs377d0OGIR/TTTz9x8eJFoqKi+Pvvvw0djhAVTpknNYOCgvD09MTe3h57e3u8vb3ZunUrALGxsahUqgIvuZsd//fff/Tp0wcbGxtcXFwYM2aMTHgTJaLtp+nq6oqlpaWBoxFCCOPj7g6BgbB3LwQHK7cFByvXAwMrZ4VmbqampsyZMweA4OBgTpw4YeCISkaSmsbr8ccfBySpWdkdPHiQF154AQ8PD27evGnocEQl5uTkxMiRIwGp1qxoNBoNP/74o+567u+FEMVT5knNunXrMmPGDA4dOsTBgwfp2rUrfn5+nDhxgnr16nH16tU8l8mTJ2NnZ8ezzz4LQE5ODn369CEzM5PIyEiWLVvGTz/9xIQJE8o6dFEJST9NIURZK+rDPIBr167x+uuv4+rqiq2tLW3btmXdunX59rNlyxY6deqEtbU1NWrU4LnnnivHs1CGAHXponzfpUvlGgr0MF26dKF///7k5OQwevToCvkGUZKaxqtJkyYA/PXXXwaORJSVzMxM3nzzTdRqNU8//TQ1a9Y0dEhlRh8FLAXdv2rVKkOdUoX08ccfY2Fhwb59+9izZ4+hwxHFtG/fPs6cOaMb6Ldq1Spu375t4KiEqFjMyvoAvr6+ea4HBgYSFBTEgQMH8PDwwNXVNc/9oaGhDBw4EDs7OwDCw8P5559/2LFjB7Vq1aJ169ZMnTqVzz77jEmTJmFhYVHgcTMyMsjIyNBd1y79yMrKIisrq0Tnon1cSR+vb8YUjzHFAoXH8++//wJKsr28Yq0oz40hGFMsYFzxGFMsYDzxGPr4xaH9MK9JkyZoNBqWLVuGn58fhw8fxsPDg8GDB5OUlMTGjRtxcnJixYoVDBw4kIMHD9KmTRsA1q1bx/Dhw5k2bRpdu3YlOzub48ePG/jMqpaZM2eyZcsWIiIiCAsLo0+fPoYO6ZFIUtN4aZOaf//9N1lZWZibmxs4IqFvX3/9NceOHcPJyYlvv/3W0OGUqaL+5jVr1kz3f5HWokWLmDlzpq6ARWvp0qX06tVLd93BwaE8wq803NzcGDZsGEFBQQQGBvJ///d/hg5JFMPixYsBGDx4MOHh4cTFxbFy5UrefvttA0cmRMVR5knN3HJycggJCSE1NRXvAhpyHTp0iJiYGBYsWKC7bf/+/bRq1YpatWrpbnvmmWcYNWoUJ06c0L0BfND06dOZPHlyvtvDw8OxsbEp1XlERESU6vH6ZkzxlDaWCxcuULNmTapXr14m8ezevRuA7OxswsLC9HKMksZiaMYUjzHFAsYVjzHFAoaPJy0tzaDHL46HfZgXGRlJUFAQHTt2BOCLL75gzpw5HDp0iDZt2pCdnc2HH37IzJkzGTZsmG4/LVq0KPK4lf3DvPKOpX79+rz//vt88803jB49mi5duuRJPhn7c6NNJDg7O5d7jMb+3BhSVlYWbm5uVK9eneTkZGJiYmjdurXBYsn91dCMKZ7SxHLy5EmmTp0KwDfffIODg0OpzskYno+ilLaARcvBwSHftuLRfPrppyxatIiIiAiioqJ0rzOEcUpJSWHNmjUAvPnmm4DSX3PhwoWS1BTiEZRLUvPYsWN4e3uTnp6OnZ0doaGhBb45W7x4Mc2bN8fHx0d327Vr1/IkNAHd9WvXrhV6zICAAPz9/XXXU1JSqFevHj179sTe3r5E55GVlUVERAQ9evQwik/VjSme0saiVqv54osvmDVrFm3btuXAgQNlEs+yZcsA6Ny5M7179y7VMUobi6EYUzzGFIuxxWNMsRhTPBVt4EJBH+b5+PiwevVq+vTpg4ODA2vWrCE9PZ3OnTsDSvXWlStXMDExoU2bNly7do3WrVszc+ZMWrZsWeixqsqHeeUZS7t27ahevTpnz57l/fffp1+/fgaN52G0sajVal1S8+TJk8THxxs0HmNgTLGYmJjQsGFDjhw5wtKlS3nmmWcMGo8xPTdgXPE8aixqtZqxY8eSmZlJ+/btsbe3L/WH6BXhwzytkhSwaL377ru89dZbNGrUiJEjRzJ06FBUKlWhx6rsH+QV5GHx1alTh0GDBvHzzz8zdepUfvvtt/IMz6ifP2OMbfny5aSlpdGsWTPatm1LbGwsK1as4O+//+bAgQO0a9fO0CHqGOPzp2XMsYHE96hKEke5JDWbNm1KTEwMycnJrF27liFDhrB79+48ic27d++yYsUKxo8fr5djWlpaFjgIxtzcvNRvyPWxD30ypnhKEktqaiqvv/46oaGhgPKG/uLFi7jrYRrFg/FcvnwZgMcee6zcnzNj+jmBccVjTLGAccVjTLGA4eMxpueiKEV9mLdmzRpeeuklatasiZmZGTY2NoSGhur+z7tw4QIAkyZNYvbs2TRs2JBvvvmGzp07c+bMGRwLaW5Z2T/MM1QsKSkpjBw5kt9++40vv/wSJycng8ZTkAdjuX79Omq1GpVKxSuvvIKZWbkuzDHq58bQtPH07NmTI0eOcPfu3XL7kLWwWIztuTGGeEoay/fff8+pU6eoVq0aq1evpl69eqWOpSJ8mFeaAhaAKVOm0LVrV2xsbAgPD+edd97hzp07fPDBB4Ues6p8kFeQouLr1KkTv/zyC5s3b+b777+nYcOG5RfYPcb8/BlTbNqhhN7e3uzYsQN7e3v+97//sWfPHiZMmMC7775r4AjzM6bn70HGHBtIfMVVkg/yyuVVroWFhe7NWrt27YiOjmbu3LksXLhQt83atWtJS0tj8ODBeR7r6uqabzrk9evXdfeJiu3KlSv4+vpy+PBhLCwscHNzIzY2lg0bNvDxxx/r/Xja6ef169fX+76FEEKrqA/zxo8fT1JSEjt27MDJyYn169czcOBA/vzzT1q1aoVarQZg3LhxDBgwAFB6jdWtW5eQkBBGjBhR4DGryod55R3LW2+9RVBQEEeOHCEwMJD58+cbNJ6iaGO5ceMGoCw9t7a2Nng8xsCYYgH43//+BygTsg0dl7E9N8YUz6PEcvHiRcaNGwfAV199RaNGjfQWg7ErbQFL7tvatGlDamoqM2fOLDKpWdk/yCtIcePbtWsXISEh7Nu3j3feecfo4jMEY4vt2LFjnD17FnNzc7788kscHByIiIhg7Nix7Nmzh8jISFauXFni32V9M7bnLzdjjg0kvkdVkg/yyvej+3vUanWe5QKgfHLXr18/nJ2d89zu7e1NYGAg8fHxuLi4AEoW2d7e/qH9xYRxO3jwIP369ePq1as4Ozuzfv16Dh06xAcffMD69ev1ntS8e/eubgmeTD8XQpSlwj7M+/TTT5k/fz7Hjx/Hw8MDAC8vL/78808WLFhAcHCwbrBL7r9xlpaWNGrUiP/++6/8T6aKMzU1Zc6cOXTt2pXg4GBGjRql+9kZKxkSZPzat28PwIkTJ7h9+zbVqlUzcESiNDQaDSNGjCA1NZWnnnqq0A+fKqvSFLAUpFOnTkydOpWMjIwCP6yDqvNBXkEeFt8XX3xBSEgIa9euZerUqTRt2rQcozPu589YYvv5558B8PPzw83NTbfktkuXLjRr1oxTp04REhLCyJEjDRlmPsby/BXEmGMDie9R4nhUJmUQRx4BAQHs2bOH2NhYjh07RkBAALt27WLQoEG6bc6dO8eePXt466238j2+Z8+etGjRgtdff50jR46wfft2vvjiC959991C/8gJ47du3Tqefvpprl69ioeHB1FRUfj4+Oj6lUVGRpKQkKDXY2qXntva2lKjRg297lsIIYqi/TBPu6TCxCTvn19TU1NdhWa7du2wtLTk9OnTuvuzsrKIjY2VD2QMpEuXLvTv35+cnBxGjx6NRqMxdEhFkqSm8atduzb16tVDo9Fw6NAhQ4cjSunXX39l+/btWFpa8uOPP+b7P76qeZQCloLExMRQo0YNea9XQp6envTr1w+NRsOMGTMMHY54QEZGBr/88gtAnoGQACqVSjckaOHChUb/ekMIY1Dmf3Hj4+MZPHgwTZs2pVu3bkRHR7N9+3Z69Oih22bJkiXUrVuXnj175nu8qakpmzdvxtTUFG9vb1577TUGDx7MlClTyjp0UQY0Gg3Tpk3jhRde4O7duzz77LNERkbq+r00aNCA1q1bo1ar2bx5s16Pra1wql+/fpGNx4UQojSK+jCvWbNmuLu7M2LECKKiojh//jzffPMNERERPPfccwDY29szcuRIJk6cSHh4OKdPn2bUqFEAvPjiiwY8s6pt5syZWFhYEBERUerBH2VNkpoVQ6dOnQDytVkSFcv169f56KOPAKUX8uOPP27YgMpZaQtYNm3axI8//sjx48c5d+4cQUFBTJs2jffff788T6PS0bZC+OWXX4iNjTVsMCKP9evXk5iYSL169fLkRLQGDx6MpaUlMTExHDx40AARClGxlHlSc/HixcTGxpKRkUF8fDw7duzI94932rRp/Pfff4V+qtmgQQPCwsJIS0sjISGBWbNmlXvTe1F6GRkZDBkyRPdH9oMPPmDjxo35eoVo39hv2LBBr8eXfppCiPJQ1Id55ubmhIWF4ezsjK+vL56envz8888sW7Ysz7CQmTNn8vLLL/P666/ToUMHLl68yM6dO6XK3IAaN26sS1z4+/sbzZTIgkhSs2Lo2LEjAH/99ZeBIxGl8cEHH5CYmEibNm3KpB+8sSttAYu5uTkLFizA29ub1q1bs3DhQmbPns3EiRPL8zQqnY4dO9KjRw9ycnL4+uuvDR2OyOXHH38EYOjQoZiamua7v2bNmrzwwgsAeVo4CCEKJplBUS4SEhJ4/vnn2bt3L6ampnz33Xe6yqMH+fn5MWnSJMLDw0lLSyv1BEMtbaWmLN8UQpSlxYsXF3l/kyZNWLduXZHbmJubM2vWLGbNmqXP0EQpjRs3jp9++okzZ84QFBSk6yFnbLRJTTc3NwNHIoqiTWpKpWbFtWHDBtasWYOpqSmLFy82in5k5e1hf/NAKWCZNm1agff16tWLXr166TssgfI3KyIigsWLF/PFF1/I3wQjEBsby44dO1CpVAwdOrTQ7UaMGMHy5ctZuXIls2fPNpqBQUIYo6rd8EWUi3/++YdOnTqxd+9eqlevztatWwtNaIIyNKNBgwbcvXuXHTt26C2O3MvPhRBCiEdlb29PYGAgAF9++WWJJjSWh7i4OEAqNY1du3btMDEx4fLly7qfmag4kpKSdJOlx4wZQ5s2bQwckRB5Pf300zz55JNkZmbyzTffGDocASxduhSA7t2769qvFeTJJ5+kefPmpKWlsXz58nKKToiKSZKaokxt374db29v/v33Xxo3bsyBAwcK7B2Sm0ql0g0M0ucSdFl+LoQQorSGDh2Kl5cXSUlJrFq1ytDhFEiWn1cMdnZ2eHh4AFKtWRF9+umnxMXF8fjjjzNhwgRDhyNEPiqVStf2Kzg4WO9DWMWjycnJYcmSJUD+AUEPkoFBQhSfJDVFmZk/fz69e/cmJSWFp556igMHDtCsWbNiPdbPzw9Qmofn5OToJR5Zfi6EEKK0TE1NmTNnDgDbtm3jxIkTBo4oL41GI0nNCkSWoFdMf/zxBz/88AMAP/zwA9bW1gaOSIiCPfPMM7Rr1460tDS+/fZbQ4dTpUVERHD58mUcHR11MySKoh0YdOTIEaKjo8s+QCEqKElqCr3Lzs7mvffe4/3330etVvPGG28QERGBk5NTsffx9NNP4+DgQEJCAvv37y91TGq1mkuXLgFSqSmEEKJ0unTpgp+fH2q1mjFjxhhVBcWtW7fIzMwEwNXV1cDRiIfRTkCXYUEVR1paGsOHDwdg1KhRPP300waOSIjC5a7WnD9/PklJSYYNqArTDgh6/fXXsbS0fOj2jo6OvPjii4AMDBKiKJLUFHqVnJxM3759WbBgASqViq+++oolS5YU6z/u3MzNzenTpw+gnyXo8fHxZGRkoFKpqFOnTqn3J4QoQloabNgA69YV/7Jhg/I4ISqIGTNmYGZmxo4dOwgLCzN0ODraKs0aNWpgZWVl4GjEw2grNaOjo1Gr1QaORhTHpEmTOH/+PHXr1mXGjBmGDkeIh/Lz88PDw4OUlBTmz59v6HCqpPj4eDZu3Ag8fOl5biNGjABg1apVJCcnl0lsQlR0Mv1c6M21a9d4+umnOXnyJDY2Nvz666/079+/xPvz8/Nj+fLlbNiwga+//hqVSlXifWmXnru5uVXJyZRClKuYGPj4Y7h9u/iPqVYNfv4ZfHzKLCwh9Klx48b4+voSGhqKv78/PXv2NIq/L7L0vGLx8PDAxsaG27dvc/r0aZo3b27okEQRDh48qBu4EhwcLBOJRYVgYmLC2LFjGTRoEN9++y0fffQRdnZ2hg6rSvnll1/IysqiY8eOtGrVqtiPe+KJJ2jevDknT55k+fLluuFkQoj7pFJT6MXu3bv59NNPOXnyJHXq1GHv3r2lSmgC9OrVCwsLC86ePcupU6dKtS/ppylEOerYERo1AlNTqFfv4RdTU2jcWHmcEBXIiy++iIuLC2fOnGHBggWGDge4n9R0c3MzcCSiOMzMzGjXrh0gS9CNXVZWFsOGDUOtVvPqq6/qVhQJUREMHDgQd3d3bt68KUuZy5lGo2Hx4sXAo1VpgtI+QFutKQODhCiYJDVFqRw4cIDevXvTo0cPUlJSaNu2LVFRUbRp06bU+65WrRpdu3YFSr8EXZvUlH6aQjxEYUvH7y2ZYePGhy8dNzOD994DlQrS04s+Xnq6st277yqPE6ICsbGxYcqUKQBMnjyZGzduGDgiiIuLA6RSsyKRYUEVw9dff83Ro0epWbOmDFwRFY6ZmRmff/45ALNmzSL9Ya/PhN4cOHBAt5Lx5ZdffuTHv/7661hZWXH06FH5OyFEAeQdpCiRffv2MWXKFMLDwwFlGmzXrl0JCQmhevXqejuOn58f27ZtY8OGDbo/xCVx8eJFQJKaQo/S0iAiArKzi/8YMzPo0QNsbMourtIqbOm4lRXMmwf+/vkTlQUtHe/dGzw84PhxKKpiLDERWrVStheiAhoyZAhBQUEcOXKESZMmGbxfmSw/r3i0w4LkzarxOnnypO4DjHnz5uHs7GzgiIR4dK+//jqTJ0/m0qVLLFmyRJYylxPtgKCBAweWqGWFdmDQL7/8wsKFC3V/M4QQCklqikeyZ88eJk+ezM6dOwElmTlkyBA++eQTzpw5g42ekzX9+vVj1KhR/PXXX1y9erXEb9Jk+bnQu8raN1K7dPzBZKSFhfK1Th24N1kZgLi4gpeOa6s1R41SkqAFDSyRKk1RCZiamjJnzhy6du1KcHAwo0aNwsPDw2DxSFKz4tFWah45coS7d+9ibW1t4IhEbmq1mrfeeovMzEz69OnDK6+8YuiQhCgRCwsLPv30U95//32++uorhg8fbhS9oCuz27dvs3r1auDRl57nNmLECH755RdWrVrF7NmzcXBw0FOEQlR8svxcPJRGo2Hnzp107tyZ//u//2Pnzp2YmZkxfPhwzp49y+LFi3F3dy+TY7u5udGxY0c0Gg2bNm0q8X5k+bnQu8raN1KfS8effhrq1oXLl+HKFbh0Ke/9iYnQsqVUaYoKr0uXLvTv35+cnBz8/f0N2vNKkpoVT/369XFxcSE7O5uYmBhDhyMe8P333xMZGUm1atUICgoq1eBKIQxt2LBh1KpVi//++49ff/3V0OFUeqtXryY1NZWmTZvyxBNPlHg/Pj4+eHh4cPfuXZYvX67HCIWo+CSpKQql0WiIiIjg6aefplu3buzevRtzc3NGjhzJuXPnWLRoEY899liZx+Hn5weUrq+mLD8XeUjfyKJpl44nJha9XUFJya+/hp49lURujRoQFQXJyXDtGiQkgDbZU9GeEyEeYubMmVhYWBAeHk5YWJjB4pCkZsWjUqlkCbqRunjxoq790VdffUW9evUMHJEQpWNtbc3HH38MwPTp08nJyTFwRJVb7gFBpflARKVS8fbbbwMyMEjoz44dO6hduzbTpk0jMjLS0OGUmCQ1RT4ajYatW7fi4+NDz5492bt3L5aWlrz33nucP3+eoKCgcl3GrU1q/v7779y5c+eRH5+amsrNmzcBWX4u7tEuHX/nnbwXf3/lfn///Pd9/LHyuNxKk/wzZgUlbDUabOPiUCUmKgnK8+fhxg2IjgaTXH9KDh5Ueo1evqxcd3EBBwelj2idOveTmhXtORHiIRo3bsxHH30EgL+/P1lZWQaJQ5KaFZN2CbpMQDceGo2Gd999l9TUVJ566indBGIhKrqRI0fi6OjI2bNn+emnnwwdTqV14sQJDhw4gJmZGYMHDy71/rQDg44dO8aBAwf0EKGo6mbNmsXNmzeJioqic+fO+Pj4EBoaWuE+7JDyGKGj0WjYsmULU6ZMITo6GgArKytGjBjBp59+iltRwz7KUIsWLWjcuDHnz59n+/btDBgw4JEef+nekld7e3u9DjESFZgx943UaJTttW7eVPaRmQkZGcpF+31mJjzzzP1tf/8dzpzJe3/ux8ycCdreSfPmKdsXtM+MDNi37/6gn+xszBIS6F7QC6hbt5Rl5doPDN56C3r1gmbNlIujo1L5OmoUVK+uJEClSlNUUuPGjeOnn37izJkzLFiwQJfkLC+3b98mNTUVkKRmRSMT0I3Prl27CA8Px9LSkh9//BETE6kFEZVDtWrV+Oijj5gwYQJvvfUWq1evZvz48Tz11FOGDq1S0VZp+vr6UqtWrVLvr0aNGrz00kssW7aMRYsW4e3tXep9iqrr1q1b/P777wA88cQTREdHs3//fp5//nmaNGnCxx9/zODBgytEn295NylQq9Vs3LiRKVOmcPjwYQBsbGwYNWoUn3zyCa6urgaNT6VS4efnx+zZs9mwYcMjJzVl6Xkloq+J48VJRmo9LAGnrdb8+29lEFBGBmRlgVqtJCjT0pRl2LkrEocNg8jIghOPpqZwLykBYPrmm7B1a+Hx5eTcr5RctAjWrCl826lT7yc1Y2LuL7cvSFbW/ecoJwcVkG1hgam5OSozM+X8Ro2C11/Pmxju2bPw50ibRJaJ56KSsre3JzAwkOHDhzN58mRee+01nJycyu34cXFxgPKG1c7OrtyOK0qvQ4cOAJw/f56bN29Ss2ZNA0dUtcXHx7NkyRIAJk2axOOPP27giITQrzFjxnDp0iWWLl1KREQEERERdO7cmQkTJtC5c2fpHVtKGRkZ/PLLL0DpBgQ96O2332bZsmWsXr2aOXPmyMAgUWKbNm0iOzubFi1aMGbMGNq0aUNwcDBBQUGcPXuWkSNHMn78eN5//33eeecdo35dIknNKkytVvPbb78xdepUjh49CoCtrS3vvfce/v7+uLi4GDjC+7RJzS1btpCdnY3ZI1R3yZCgSkSfE8cfTLQVJjERWrRQKhE3bYILF5Sl1+npShJRmyB94QWlqrIgKSl5E6KXLsGpUwVv+2AliLW1crG0VCpJc3+1tFQSvNoK006d7l9/cDsLCyVhqjV4MHh7570/91dHx/vP0dGjZLVrR9i4cfSeORPz2FglKRkYWLxKy9xJ5ORkqdIUldrQoUOZP38+R44cYdKkScyfP7/cjn3t2jVAqjQroho1avD4449z5swZoqKiePbZZw0dUpU2evRobt++TevWrXX9B4WoTKysrFi0aBFjx45lxowZLFmyhF27drFr1y6eeOIJJkyYQI8ePSS5WUIbN27kxo0b1KlTh2dyr6oqJW9vb1q2bMnx48f55ZdfeP/99/W278Ko1Wqio6NJSEiQXp6VyNq1awF4/vnnAXS9NQMCAli8eDFz5szhv//+Y8KECcyYMYM333wTf3//cpmp8qjkHWUVlJOTw9q1a5k6dSonTpwAlKqO999/n9GjR5drVUlx+fj44OTkxI0bN9i7dy+dO3cu9mO1SU3pp2lARVVYmpkVXDFYUIVlYcvGC1PYsnHt/nNXa5qbw4M9W8+fVxKSV69C69Z577OwgKAgJVHYuzfUrq30mrS3V+5TqZTka506MGZM3sfOmAFjx+ZPKGovuV4w5KxahYm2uvJh/P3v9wV9mM6dlcvDaJ8jjUZJuGZklCwpqU2Q7t+vJJilSlNUUqampsyZM4euXbsSHBzMqFGj8PDwKJdjSz/Niq1jx46S1DQCGzZsICQkBBMTExYuXIh5cf8GC1EBNWzYkODgYMaNG8fXX3/NDz/8wL59+3jmmWfo2LEjEyZMoHfv3pLcfETapedvvPHGIxXjPIxKpWLEiBG8//77LFq0iPfee69MfzbZ2dkMHjyYlStXAvDxxx/TsmVLPDw8aNmype5iTMVQ4uFSUlIIDw8HoH///rp2fXC/PcW7775LSEgIM2fOJCYmhvnz5/P999/zwgsvMGbMGNq3b2+o8PORpGYVkpOTw+rVq/nyyy85efIkANWrV+fDDz/kww8/xNHR0cARFs7MzIy+ffvy008/sX79+hIlNaVS04AKq7C0slJ6O/r7558gXlCFpb6Wjd+5o8R09qySrDt1CnJyMFOplGXVufehvV69upIgbdTo/iUnR0lqmpnBd98pcdWoocSVnq7se8YM6Ncv7/Hbti3Os2YctMnIc+eU67dulWzAj/Znd/myVGmKSq9Lly7079+f0NBQ/P392bZtW7m8IZRKzYqtU6dO/Prrr9JX04CSk5N55513AOWNXps2bQwckRDlo169enz33XcEBAQwa9YsgoODiYqKom/fvrRt25bx48fTr18/6S1bDBcvXtQljN5880297/+1117j008/5fjx4+zfvx+fB1ej6Ul2djaDBg1izZo1mN5b7ZWSkkJkZGS+SdlOTk66BKc24enh4UGNGjXKJDZROlu2bCEjI4MmTZrQsmXLPElNLXNzc1599VVeeeUVfv/9d2bOnEl4eDhr1qxhzZo1dO7cmTFjxvDss88a/EMP+V+pCsjOzubnn3+mRYsWDBo0iJMnT+Lg4MDkyZOJjY1l8uTJRp3Q1NJOQd+wYcMjlb5LT00joK2wNDWFevXuX+rUUe6vUyfv7aamhVdYPurE8QcT4KNGKdWUTz0Fn3yiVGFqJ7yZm2OhrdZMT1cSq7NmKcvKk5Lg0CEICYGvvoIRI+4v+y4orsoy3Tv3JHQo3dLxvn2VRHXfvvqNUQgjNHPmTCwsLAgPDycsLKxcjilJzYot9wR0WeJnGJ9++ilxcXG4u7szcOBAQ4cjRLlzc3Nj9uzZ/Pvvv4wZMwZbW1v+/vtv+vfvT+vWrVmzZk2Fm4xc3n766Sc0Gg1du3alUaNGet+/g4MDL730EgALFy7U+/4BsrKyePXVV1mzZg3m5uasWbOGVatW8ffff7Ny5UrGjRvHc889h7u7OyqVihs3brBr1y7mz5/PqFGjeOqpp3B0dKRu3bo888wzfPzxxyxdupTo6GjdQENhOOvWrQPghRdeeGhCUqVS0b17d7Zv305MTAyvvfYaZmZm7Nq1iz59+tCqVSt++uknMnMP2S1nktSsxLKysli6dCnNmjVjyJAhnDlzBkdHRwIDA7l48SITJkyoUM2Fe/TogZWVFbGxsRw7dqzYj5Pl56WQlgYbNsC6dcW/bNigPC633ImxBysyH/SwwTxF7UutVqowr1xRkpCnTimVk/eGZwDg4qJUUNapo1RQTpoEbdqAiwvZ7dqRaW+vbJeYqNz+4YdKf8mHyR1XZesb2bu3MskcoHnzkidqTUygffv8fUMrmaCgIDw9PbG3t8fe3h5vb2+25hr2dO3aNV5//XVcXV2xtbWlbdu2uhcXD8rIyKB169aoVCpiYmLK6QyEPjRu3Fg3/dzf35+srKwyP6YsP6/YvLy8sLCw4ObNm/z777+GDqfK+eOPP1i0aBGgJAosLS0NHJEQhlOrVi2+/vprYmNjGTt2LNWqVePYsWO89NJLtGrVihUrVkhyswA5OTm6IWP6HBD0oBEjRgCwZs0abt26pdd9Z2Vl8corrxASEoKFhQW//fYbvr6+mJub07JlS15++WW+/PJLQkNDOXv2LHfu3OHgwYMsW7ZMV7lXr149AK5cuUJ4eDizZ8/mzTffpGPHjtjZ2dGoUSP69evH2LFjWb58OUeOHCEjI0Ov5yEKlpqaqvuw/VEHMHt5efHLL79w4cIF/P39sbOz48SJEwwdOpTHHnuMr7/+muTk5LIIu0iV4N22eFBmZibLli1j2rRpxMbGAkpJ+CeffMI777xDtWrVDBtgCdna2tKjRw82bdrEhg0b8PT0fOhjcnJyuHz5MiCVmiViqME8hU3G1miUZGXdutC0qZK0dHNTbouLg7t3825/L6HNkSP3j/nOOzBypNIDU6tNG6WCU/vHVPpG5mVmBm+/rXw/fHjlSNSWobp16zJjxgyaNGmCRqNh2bJl+Pn5cfjwYTw8PBg8eDBJSUls3LgRJycnVqxYwcCBAzl48GC+pY6ffvopbm5uHDlyxEBnI0pj3Lhx/PTTT5w5c4YFCxbokpxlRVup6VacnsPC6FhaWtK6dWuioqKIiooqkwofUbC0tDSGDx8OoKsyKq8KayGMmZOTE4GBgXzyySfMnTuXuXPncvLkSQYNGsSkSZMYN24cr776qvSevef333/nv//+o0aNGroBLGWhU6dOtGrVimPHjvHLL7/wwQcf6GW/mZmZvPzyy4SGhmJhYUFoaCi9e/cu8oNZGxsb2rVrR7t27fLcnpyczD///MPx48c5fvw4J06c4Pjx41y/fp1///2Xf//9l02bNum2NzU1pUmTJnn6dXp4eNCkSRO99iWt6rZt28bdu3dp2LAhbdu2JbugmRcPUa9ePb755hvGjx/PwoULmTt3LnFxcXz22Wd8+eWXzJgxQ9fKpTzIb0clkpGRwdKlS5k+fbquOtHFxYUxY8YwatQobG1tDRxh6fn5+emSmuPHj3/o9teuXSMrKwtTU1OpXCmJshzM82A/TI0mb5XmsWPw229KD8ZLl+5/1VaBTpwIp08rj8nJuZ/QNDNTlq8/9xwMGgTt2uWNvVat/LFJ38iH69ULtm1Tvooi+fr65rkeGBhIUFAQBw4cwMPDg8jISIKCgnRLTb/44gvmzJnDoUOH8iQ1t27dSnh4OOvWrctT6VmYjIyMPJ9yp6SkAMon7iWtEtQ+rjyqDB/GmGKB4sVjbW3NlClTGDlyJJMnT+all14qk2F82hji7lWlOzs7G/R5MqaflTHFAg+Pp3379kRFRbF///5HrqDQdyzlzZDxjB8/nvPnz1O3bl2mTp1qVM+NMcQgRI0aNZg0aRKjR49m/vz5zJ49m7Nnz/LGG28wefJkxo4dyyuvvGLoMA1OOyBo0KBBWBXV+7+UtAOD3nvvPRYuXMj7779f6r6GmZmZDBw4kA0bNmBpacn69evpVYrX/dWrV8fb2xtvb+88tyckJHDixAldklN7SUpK4tSpU5w6dSrPCiYLCwuaNWuWb0BRw4YNpcdrCWif2wEDBpT6d8bBwYHPPvuMjz76iBUrVjBr1iz++eefch8cVYnecVdd6enpLFy4kBkzZnDlyhUAXF1d+eyzz3j77bexyT09uoLz9fVFpVJx6NAhLl++TN26dYvcXtv0tm7duvIJT0noazCPVu/e0KSJkrC0tcUkMxPviRMxO3NGqY50cFCWJ/fuDcuXw5dfFrwfJyclCamt/KxZU0mm2thAQgJ4esKvvxY/qag9z9Gjleul7Rvp5laxhgEVh/ZFg7x4eCQ5OTmEhISQmpqqe1Hn4+PD6tWr6dOnDw4ODqxZs4b09PQ8A9CuX7/O8OHDWb9+fbH/D58+fTqTJ0/Od3t4eHip/w5ERESU6vH6ZEyxwMPjcXZ2pmHDhsTGxvLWW2/xtrbquQxo/+adOXOGuw9WrhuAMf2sjCkWKDwebbVTefZirSjPTVk5d+4c3377LaBMKt67d6/BYilI2oMtfYQwoOrVqzNu3Dg++OADgoKCmDVrFv/++y/Dhw9n6tSpPPvss3Tr1q1KVm7euHGD0NBQoGyXnmsNGjSIMWPG8M8//xAZGckTTzxR4n1lZGTw4osvsmnTJiwtLdmwYQPPPPOMHqO9z9nZmc6dO+d53avRaLh69Wq+qs4TJ06QmprK0aNHOXr0aJ792NjY0KJFC1q0aIGJiQlmZmZ4eXlRp04dgw+uMVbp6em66tgXXnhBb/u1tLRk6NChDBkyhIiICLp37663fReHZHkqsLS0NDZt2sSoUaN0fbTc3Nz4/PPPeeutt7C2tjZwhPrn4uKCj48P+/btY+PGjQ8tay7XyedpaRARAQWVcJuZwcaNBd/eo4eSjDNWJV02npQEJ04olZ7aKtlff4Xdu3XbmwIu16/f30dOzv1kYuvWyjLxevWU5ea5hwtpf7ctLZWEq0ajJETT05WkW0kSkr17g7bZtj76Rooq7dixY3h7e5Oeno6dnR2hoaG0aNECUPofvfTSS9SsWRMzMzNsbGwIDQ3F3d0dUF7YvfHGG4wcOZL27dvr2og8TEBAAP7+/rrrKSkp1KtXj549e2Kv7RX7iLKysoiIiKBHjx4Gf4NiTLE8ajzVqlWjZ8+ebN++ncDAQDw8PPQey+bNm3XJj5deesmgPbON6WdlTLEUJx53d3fmzp1LbGxsmcdc0Z6bsjrm+PHjUavVvPzyy0yYMMFgsRRGW3UvhDGpVq0an376qa5S8Ouvv+a///5j4cKFbNq0ic8++4zhw4dXyvejhfn111/JysqiXbt2tG7dusyP5+DgwMsvv8zSpUtZuHBhiZOaGRkZDBgwgC1btmBlZcWGDRvo2bOnnqMtmkqlws3NDTc3tzzHVqvVXLx4MU9V54kTJzh58iRpaWkcPHiQgwcPAsqAJlAS7w9OYm/ZsiXOzs7lek7GKCIigjt37lCnTh3dijF9MjExKbNkeFEkqVkBpaamEhwczMyZM7l+LyFUr149AgICGDp0aJmWuhsDPz8/9u3bx4YNG4wrqVlY/0krK5g3D/z98w+2Kaz/pDF5WLWmWq0Mxrl7V0nO9u2rJEDvVQ2zaJHShxHg8ceVr9bWoFaT4+TEkQED8NyxAzNthaU2mejlBUFBRcf2YMK1qH6cxTlP6Rsp9KRp06bExMSQnJzM2rVrGTJkCLt376ZFixaMHz+epKQkduzYgZOTE+vXr2fgwIH8+eeftGrViu+++47bt28TEBDwSMe0tLQscLCFubl5qd+U62Mf+mJMsUDx4unRowf9+/cnNDSUzz77jG3btum9ikA7KMDKygonJyejqFIwpp+VMcUChcfTvHlzHBwcdMvw2pZD1X9FeW7Kwtdff82xY8eoWbMm8+bNy3dcY3huDH18IYpiY2PD6NGjGTlyJIsWLWLq1KnExcXx4YcfMm3aNMaMGcPIkSMrRRu0omg0Gt3S8/Ko0tQaMWIES5cuZc2aNXz77bc4Fme4aS7p6ekMGDCAsLAwrK2t2bhxY7lX2RXFxMSExx57jMcee4y+ffvqbs/Ozub8+fMcP36co0ePsmPHDhITEzl79izJycns27ePffv25dmXs7OzLsGpTXh6eHhUqMHJpbV27VoAnn/++Uq1dF/etVcgd+7cYcGCBcyaNYsbN24Ayj/OyZMnM2zYMCwsLAwcYfnw8/Pj008/5Y8//iA5OZnq1asXuq12KV65JDUL6z+p/bnUqQOZmfdvL6r/pKHdvQsnTyrJyuRkJVlYrRpcvAi2tsr32uf9zh24cEH5fv36vPupW1epvtTq0EHZ/vffYdQo1LVqcalrV1rt3Qvm5vDBB4+WTMydcNXHxHHpGyn0xMLCQld52a5dO6Kjo5k7dy6ffvop8+fP5/jx47pqPS8vL/78808WLFhAcHAwO3fuZP/+/fkSlO3bt2fQoEEsW7as3M9HlN7MmTPZsmWLbllxnz599Lp/bVKzdu3aRpHQFCVjYmJChw4diIiIICoqqlySmlXVyZMnmTJlCgDz5s2TKh4hSsHa2pp33nmHOnXqEB8fz9dff83Fixf55JNPmDFjBh9//DHvvvtuhR1Y+zBRUVEcP34ca2vrcu0t2rFjRzw9PTl69Ci//PILH374YbEfm56eTv/+/dm2bRvW1tZs3ryZrl27lmG0+mNmZkbTpk1p2rQp/fr1o23btvTu3Ru1Ws2ZM2fy9Oo8ceIEFy5cICEhgT/++IM//vgjz77q1q2br6qzefPmlS4Rn5mZycZ7K0f1ufTcGJR5ejYoKAhPT0/s7e2xt7fH29s738CD/fv307VrV2xtbbG3t+fpp5/O0wuqYcOGqFSqPJcZM2aUdehGIyUlhWnTptGwYUM+//xzbty4QaNGjVi0aBFBQUG89dZbVSahCfD444/TrFkzsrKyHjo8Q1up2aBBg7IPTJtgU6nyV2Q+qDj9Jx9VRgbEx8PZs3DwoJI41CYbQUlIfvwxpiNG0P7rrzHt3Rs6dYJmzZTl4bNn39/21CllwE7XrtC/PwwbpgzluXMHrl/PW41qYqJcPD2VpOTChbBvn7L8/NIlZQm5lrm5khTVVljeexNe4sE8cH9f166VfB+5zyX3VyH0RK1Wk5GRoVse/OCno6ampqjVakB5c33kyBFiYmKIiYnR9dVbvXo1gYGB5Ru40JvGjRvrpp/7+/vrffhH7qSmqNg6deoEKG+SRdlQq9W89dZbZGZm0qdPHxlwIoSemJubM3z4cM6ePcvixYtp3LgxN27cICAggIYNGzJ16lSSkpIMHabeaas0X3jhhXKt/NMODAJYuHAhGo2mWI+7e/cufn5+bNu2DRsbG8LCwipMQrMolpaWtGrVildeeYXAwEA2bNjAuXPnuH37NtHR0fz000988skn9OrVSzeb4/Lly2zbto1vvvmGoUOH0qFDB6pVq0bjxo3x8/Nj3LhxrFy5kqNHj+YZyFnR/PHHHyQlJeHi4lKq/qvGqMwrNevWrcuMGTNo0qQJGo2GZcuW4efnx+HDh/Hw8GD//v306tWLgIAAvvvuO8zMzDhy5Ei+N3xTpkxhuHYJK1TaT3lyS0pK4rvvvmPOnDm6Nyvu7u588cUXvPrqqwDl1kS+PCQmKrm4tDRlFXP79lBYBb2fnx+nTp1iw4YNvPzyy4Xus1iVmkX1wixMYb0wS9J/UqNRLtrfee0TkZwMKSn3qyW1l5dfBm2vigMHoF8/5fbcVaBa06fD558r39+8CbNnYwLUKSim+Pj739eooSQ6q1e/f7G3h/37lWRl7n9/KSnQvTts2WKYwTyVeeK4qJACAgJ49tlnqV+/Prdv32bFihXs2rWL7du306xZM9zd3RkxYgSzZs2iZs2arF+/noiICDZv3gzk///Kzs4OUJJiDxuOJozbuHHj+Omnnzhz5gwLFizQJTn1ITExEVB6a4uKTdvn6q+//jJwJA93584dBg8eTKdOnfjss88MHU6xff/990RGRlKtWjWCgoKkulkIPTM3N+fNN99k8ODBrFy5ksDAQE6fPs2ECRP45ptv+OCDD/joo48eebm0Mbpz5w4rV64EynfpuZZ2YNDJkyfZu3cvTz31VJHbp6Wl4efnx44dO7C1tWXLli383//9XzlFaxi2tra0b9+e9g/MPUhKSuKff/7JN6AoPj6eCxcucOHCBV11IyhFCI8//nieqs6WLVvSuHFjox9KnHvpuampqYGj0a8yf+Z9fX3zXA8MDCQoKIgDBw7g4eHB6NGj+eCDD/hcm3hB6UX2oGrVquHq6lrs42ZkZOTJpGubbGdlZZW4OkL7OH1XVzwoMTGR7777jvnz55OcnAwo1Yljx45l4MCBun8w5RXPw9y6BX//rcTw++9ZtG2r5MSK68IFZX7M5s1Kbi4nB0xNlTxa377w2mvKqu7c+vTpw1dffUVYWBipqal5KlVzx3PhglKpWbt27cKfp7//hrFjlSrE4rKzUyZu36umyOPdd5X+mRoNWFqSZWGBfWwsqgsXUGdmQlYWqsxMOHIEXF0hORn1nDmo733Kpjp4ELMiGuzmNGmCWvtJmkqFeUJCnvs12qXh9vao7exQa8+7Vi1M/P3JqVaNU3FxNO3YEVNHR6heHY29vbI8XrttnTpKZeeDwsKUc7O3V5bVZ2Qo/THfeUc530f5XezRg6xWrQDI8vRUksQl/V1+5hnlufTyKvk+MJ5/U7ljMIZYwHjiMfTxiyM+Pp7Bgwdz9epVqlevjqenJ9u3b6dHjx6A8mHU559/jq+vL3fu3MHd3Z1ly5bRuzRVxqJCsLe3JzAwkOHDhzN58mRee+01nJyc9LJvqdSsPLRJzZMnT5KSklLiQV/l4eeffyY0NJSNGzfy2muvUadOgR+bGpWLFy/q3nd89dVX1KtXz8ARCVF5mZmZ8frrr/Pqq68SEhLC1KlT+eeff5g6dSpz5szhvffew9/fv0K3fwgJCdG9nnv66afL/fjVq1fn5ZdfZsmSJSxatKjIpGZaWhq+vr7s3LkTW1tbtm7d+tAkaGXm4OCAj48PPg/Mt4iPj+fEiRN5BhQdP36c5ORkTp48ycmTJ3VJQlDaTjVv3jzfgKJyWS1aDNnZ2ay/1yZuwIABhg2mDJRrOjknJ4eQkBBSU1Px9vYmPj6ev/76i0GDBuHj48P58+dp1qwZgYGBPPnkk3keO2PGDKZOnUr9+vV59dVXGT16dJHZ8OnTpzN58uR8t4eHh2NTyknTERERpXp8YVJSUti0aRObN2/WLb+vV68eAwcOxMfHB1NTU8LDw8stnpLIyIhg//5Hf1z79oUPjD51SrnkplardY30Z82aVeCEubS0NO7cSbq3j1NcLChJpzVt2qMHffOmkuS7xyQzkxpnz1Lzn39wrF6d2F69uHbvjYnT0aOY5Z7yDcoy7ntOR0Vx9t6L6moXL9KuQQOybWzIsrUly8ZG9322jQ03zM25de+4JhkZ2H77Ldm2tmRZW5Ntba1khHPLXc2r/UPbpg3/am+7c0e5xMUV77xzL1Mv7DjFNXQoABFvvAEF/G4/sqtXS78PjOvflDHFAoaPR7t825hplyAVpkmTJqxbt67Y+2vYsGGxlxMJ4zd06FDmz5/PkSNHmDRpEvPnz9fLfrWVmpLUrPhq1apFgwYNuHjxIocOHaJLly6GDqlAGo2GhQsXAspr/B9++IFJkyYZNqiH0Gg0jBw5ktTUVJ566indsk0hRNkyNTXl5ZdfZuDAgYSGhjJ16lSOHDnCjBkzmDdvHqNGjeKTTz55pCImY5F7QJChqr5HjBjBkiVLCAkJ4dtvv6VmzZr5tklNTcXX15c//vgDOzs7tm7dmi/nIhQuLi64uLjk+fur0WiIi4vLV9V54sQJ0tLSOHLkCEeOHMmzH1tbW5o3b06HDh0MWrywZ88ebty4Qc2aNStlVW65JDWPHTuGt7c36enp2NnZERoaSosWLThw4AAAkyZN0iWmfv75Z7p168bx48dp0qQJAB988AFt27bF0dGRyMhIAgICuHr1KrMLS66gLP/z9/fXXU9JSaFevXr07NmzxJ94Z2VlERERQY8ePfQ6iTAhIYE5c+YQHBzMnXvVgi1btmTcuHH079+/0MlUZRVPcURFKQV7168rhXpOTll88kkEs2b14MYNc+7ehVq1lPxXYXNwLlyAwYOVVc+1ahXcxlCtVo7h4qIMCc9dsTlgwAAWL17M9evXcXLqnS+egQOVPzAmJjX4/PMBRcejrUB0cIACpgfrZGQoy69nz4YuXVDt2YNq717lEh2tVGDe43T+PGp3d7KqVePPwYPJfOwxTLOz0WRkwIgR0L27UiFZvTpNatakibX1/eOMGlVoCE0Kj65YSv17o32urK2VgUKzZ5e4j2VWZiYRO3bQo3t3zI2gL6wh/00ZcyzGFI+26l6IisrU1JQ5c+bQtWtXgoODGTVqlG5oVGlIpWbl0rFjRy5evMhff/1ltEnN6Ohojh49qru+aNEixo0bZxR/swrz66+/sm3bNiwtLfnxxx8r1fRXISoCExMTBgwYwPPPP8+mTZuYMmUKhw4d4ptvvmHBggW8/fbbfPrppxWi6huUivp9+/ZhamrKkCFDDBZHhw4daN26NTExMfz888+M1rb4uic1NZU+ffqwe/duqlWrxrZt2/JVJ4qiqVQq6tSpQ506dXgm16pKtVpNbGxsvqrOU6dOkZqaysGDBzl8+DAff/wxjRs3Nkjs2mIKPz8/o/4bXVLlktRs2rQpMTExJCcns3btWoYMGcLu3bt1QxFGjBjB0HsVW23atOH3339nyZIlTJ8+HSBPctLT0xMLCwtGjBjB9OnT802H1bK0tCzwPnNz81L/IPWxD4Dr168za9Ysvv/+e131UevWrZkwYQJ+fn7FfqGlr3iK69w5ZYX19etK20UTk/sDrnNyzLG1NcfaGv77T9lu7Vq4NwQ4j2XLlBXObm5Ft7OsUUPZ7uefIfeMjP79+7N48WJCQzexb98C4uNVeeKJv9cj0tKyPo6O5kXH06cPLFhQdC/MrCylErBNG2X7q1fhgfYKuLrCU0/BE09gumYNpv/+C5aWpNesicrVFdPYWGjdGiZMMHjvxxL/3mifq/37wcdHuV7KczG3sDCq/2DL+99UUYwpFjB8PMb0XAhRUl26dKF///6Ehobi7+/Ptm3bSl3dIUnNyqVTp06EhIQY9bCgH374AYCBAweya9curl69yoYNG4x2qmp8fLyuj+2kSZN4/PHHDRuQEFWYSqWiX79++Pr6sm3bNqZMmcKBAweYN28ewcHBDBs2jM8//7zouQhGYMmSJYDSGs2Qf39VKhVvv/0277zzDosWLeKjjz7Sva64c+cOffr0Yc+ePVSrVo3t27fj7e1tsFgrGxMTExo1akSjRo3ytF7Mzs7m3LlzvPXWW+zbt4+5c+cyb968co9PrVbz22+/AZVz6TmUw/RzUHoMuLu7065dO6ZPn46Xlxdz587V/cNv0aJFnu2bN2+um1pdkE6dOpGdnU1sbGxZhl0mEhNh5cqr9Os3mgYNHmPWrFmkpaXRrl07NmzYwN9//11kdaYxWLJEGTStTSAWxMREuf/aNVi6NP/9iYmwfr0yZ0e7D5VGTb8bS+h3YwndboXgnbwNrzv7aJp+hMfNLrBzbSL3VtcB0K1bN2xtbbl27TKXL/+dL54bN24AYGFRv+h4NJq8k8uTkyE1VZnwffOmklE9cQKOHlWG4miH0dSrB//3fzBkCCxeDGfOKEu416yBDz+Ezz5T9qft7ZqRof+J54agfa7q1av45yKEEAYyc+ZMLCwsCA8PZ9SoUboP4kpKkpqVi7avprEmNW/fvq0bjPHuu+/qhnkGBQUZMqwiffDBByQmJtK6dWs+/vhjQ4cjhEBJxj377LNERkYSERHBU089RWZmJkFBQbi7uzN8+HAuXLhg6DALlJmZybJlywDDDAh60KBBg7C1teXUqVP8+eefgPJ/9bPPPsuePXuwt7cnIiJCEprlxMzMjGbNmjF27FhAaVNw8+bNco8jMjKSa9euUb16dbp161buxy8PBslGqNVqMjIyaNiwIW5ubpw+fTrP/WfOnOHZZ58t9PExMTGYmJjg4uJS1qHqzblzSjJwzZpYLlxoi0ajvPmwsuqIr+9EAgOfpUkT45+8WFAysjAmJmBtpeHi8n3caRyHXfIVuKJcVMevEHbmCmft2hDgqDTZ1ahM8L/0EXbq2wXu76hZWw4dOsS9WRtYde/OPyoTrgJ3U16EC56kmVYj1bQa/9k2Zb+bMkDHwqIBk/4dQq2sS5hnpGL7TSo5v6ZiejdVSV4+/jgcPnx/cvnOnfdLTx9kY5N3qfWuXYU/Adr9nTunXL91C1q2LPFSbaPSt69S0dq2raEjEUKICqlx48ZMnDiRcePGsXDhQlasWEFAQAAfffQR1rnbkRRDZmamrjWDJDUrh7Zt22JqasqVK1e4cuWK0S3FXLlyJampqTRt2pSnnnqKhg0bMn36dHbu3MnJkydp3ry5oUPMY+PGjaxevRpTU1MWL14sVf9CGBmVSkX37t3p3r07u3fvZsqUKezcuZMff/yRpUuX8tprrzF27FijqrDevHkzCQkJ1K5d2yiGPdrb2/PKK6/w448/snDhQlq3bq1LGFevXp3w8HDdB2ai/HTv3p1GjRpx4cIF5s+fz8SJE8v1+Nql576+voWucq7oyrwcMCAggD179hAbG8uxY8cICAhg165dDBo0CJVKxZgxY5g3bx5r167l3LlzjB8/nlOnTuk+7di/fz/ffvstR44c4cKFCyxfvpzRo0fz2muvUeNRRmyXUmKikusC5WvuisGH2b8fXnhBSWrGx89Co7mFlVVzHntsG66uB9izpzcvvqgq0YCdcnNvSMXBg0pLyS4mu+ly6zf8bizmtWuzGPHfeLwWLGDWST/G/Pe+7mHVHVR8/18f7Ia9pPRh/OYbWLWKGsf/pGHOBepnnstzmHDHl9lr35u/7Z7ilHUb/rN054ZZLdJMbLmtsic1NdfGZ85Q/85tOgGds/+lc/IGeif+yosJQfRN+ImEBG1Ssz6t7+ylw+0/aJ0ZRZOME5j+FwsJCZCWplRkwv0KRFNTMDcHKyuwtVUaftarpywt/+mn4lcm5q7+hMpRpallYqJMdjLiimIhhDB2Y8eO5Y8//qBdu3bcvn2bsWPH0rRpU3799Vddi57iuH5v8Jy5uXmBwwFExWNra0vLli0B46zWXLRoEQBvv/02KpWK+vXr07dvXwCCg4MNGVo+ycnJjLrXq3zMmDG0lQ9khTBq//d//8fvv//O3r17eeaZZ8jJyWHZsmU0b96cQYMG8c8//xg6RAB+/PFHAIYMGVLkAOPy9PbbbwOwdu1aevToQWRkJA4ODuzYsUMSmgaiUql4/vnnAfjuu+9IzZPQKFua/2fvvsOiuLowgL/L0kFEFEQEuyL2rmg0GrvGHltUTOx+lkRjwxJbbNForKixxhZL1NgVE7tG7KJi7wKiIl3a7vn+2OzISltgy104v+fxQWZnZ96ZWfbs3L1zh0hq1BR1aBhd0PtfX1hYGHx8fBASEoL8+fOjSpUqOHr0KJr/193u+++/R3x8PEaNGoXw8HBUrVoV/v7+0iCqVlZW+OOPPzBt2jQkJCSgZMmSGDVqlMY4m/qk7mG5dy8QHw8sWqS6h4u1NdCxI9CvX9rjRaZ8/tCh6pvdvMOtW6pxNzw8lsLBQdX9V6lUDc84dGj640/qRHKyqkXy/XvVP0tL1fiOapMmqRr63r/XnO/9e1UD1rFjiItTdWL85WkXOCo+6T79CigB4L5NFWmSXA5ctvBGlTJxKFTZDShaFChaFDfeFsXU1W5IcNEcJ2V28dXpRg97Tdhol2LikSM4uvM5ls/tAnsoUd7tJ+Qzs4adIhoJljZ480Z1OYClZTEsdp8PS0pAnMwOL8LtMGKCHT5vY6dqtMyX7+My27RRXVL+6diawcFAlSpZ72XZpg3w351B4eWVO3ppMsYY05nGjRsjICAA27Ztg6+vL168eIE+ffpg0aJF+OWXX9C4ceNMlxESEgIAcHV1FXr4GpY1derUwY0bNxAQEIBOnToZO47k6tWruHLlCiwtLeHj4yNN/9///od9+/Zhw4YNmD17Nuzs7DJYiuGMGzcOwcHBKFu2LH788Udjx8l1/Pz84OfnJw0LVrFiRfz4449o3bo1nj59ipIlS6b5vB07dqBr164AgOfPn2Po0KHSXZn79u2LOXPmCNNQxIyjQYMGOHLkCAICAjBz5kwcOHAAW7duxbZt2/DVV19h8uTJqFKlSuYL0oOXL1/i6NGjAIB+/foZJUNaatWqherVq+PatWsICAhAgQIFcPz4cf4yx8i8vb2l3prr1q3DiBEjMn+SDly6dAkvXryAnZ0dWrRoYZB1GoPeK8XatWsznWfChAmYMGFCmo/VqFFDuku6oV24oGpoDA1VXXXs7Kya7uysavtbt051I2g/PyC9oSnU40+6uQGvX68A0QfY2FRHvnxfSPOox3sMDlaN95jyZjipEKkWGBEB2Zs3KHz5MmTv3wMxMarGRw8P4JtvPs5bq9bHhsr/7qwu+eIL4O+/P/6+apVqDMm0/Dc+pa2tqqHylm1t5FNGIcq8AKLlBRBr6YDKjcOxJ6Axnsk/3p9boQB6FzyCjb9CumwcADzCgft7VQ3FTrYZbO9/IiMBxwIy1KyZYmKNGpC9rYGjCxshMfEk3M3sUbjwdwAAS8skvH34y3//L44T9vUA/Nc4+gEYXANA5TRWpO5dOXSoKpy1tepndntZmpsD/31jhoEDc0cvTcYYYzplZmaGXr16oXPnzli8eDFmz56Nq1evokmTJmjfvj3mzZuH8uXLp/v8lI2aLPeoU6cOfvvtN1y8eNHYUTSobxDUuXNnFCpUSJrevHlzlC5dGo8ePcK2bdswYMAAY0WUnDx5UupVumbNmiwP7cAy5+7ujrlz56Js2bIgImzcuBEdOnTAtWvXUL58een9SW316tWYP3++NNSYQqFA27Zt4erqivPnzyMkJAQ+Pj6wsLDA7NmzjbFJTDB16tTB/v37cfXqVfz000/Ys2cPdu7ciZ07d6Jjx46YMmWKwRvtNmzYAKVSic8//xxly5bN/AkGIpPJMGTIEAwePBhOTk44fvw4qlevbuxYeZ5cLseoUaMwYsQI/PLLLxgyZIhBhkHZtUs1zN+XX36Zq+sft7CkI2UPSzc3VcOjXK56TC4HnJwAR8eMe1imHH8SiEdY2FIAQAmXEXBQRCDaXHX5vBkp0C78d8gT38NpdQTiw97D+kOKXpJ16gC//vpxwR4egEIBcwD1Pg3epMnHRk2ZTHWTm08bKvPlU4VXt9KqjR6taoV0dFTdcjzlv/8uZ6tVS/Wwj/VhODl9fKqlZRLG9ziE/c/aIDHx4x9oZKRqfo3GSKj2X8eOqkZfR8eMr2JWKoEPH4Cvv4bGOtV5ChTogNevTyIy8i+pUZMoWRqI19LyY2/Q9PJoUI+Fqe6tGR4OVK6c/V6WrVoBR46ofjLGGGPpsLGxwYQJE9CvXz/MmDEDK1euxL59+3Dw4EEMHjwY06ZNg/OntRtAaGgoAG7UzG3q1q0LALh8+TIUCgXk6g+iRhQTE4MtW7YA+HiZo5qZmRmGDh2KMWPGYPny5ejfv790911jiIuLk25gNHToUDRq1MhoWXKzlHf7BYBZs2bBz88P//77LypWrJjqfWnPnj3o1q0b7O3tAQDHjh3DnTt3cPz4cRQuXBjVqlXDzJkzMX78eEybNg2WlpYG2xYmtho1amD37t0IDAzETz/9hJ07d2Lv3r3Yu3cv2rZtiylTpkjvm7qmUCgQGBiIs2fP4uzZszh06BAAMW4Q9Kn+/fvD3NwcjRo1Qhm9XQLKssrHxwczZ87Es2fPsH37dvTu3Vuv60t56Xluveu5GjdqpiNlD8vM7vCdZg/LpCQ8/3U/ur58hnJWz1Aw9BSck9+gGMzg/Kwf/ok8gHGlVS8yJcww6dlAmOO/m9Os+WRF1tYf/y+TqRoYk5JABQogUiaDQ4kSMFM3Pv43/pJkzx7V8wsUULXmOTqm31vwvztzZURXjZGA6tL9Q4dUDcPp3UldfWm+qyvw7bdp5+ncuQP8/EYhOvo0kpPDYW7uhMTEYCiVSshkFrCwcNUqjyRlb83IyJyPhaneML4kkDHGmBZcXFywbNkyDB8+HOPHj8e+ffuwYsUKbNq0CRMnTsR3332n8Y27uicU3yQod6lQoQLs7OwQHR2Nu3fvomLFisaOhO3btyM6OhplypRJc2iEb775BpMmTcL169dx8eJF1KuX6ut3g5k2bRoePnwo9SRk+qdQKLBz507ExsameYflK1eu4Pr161i+fLk07cKFC6hcuTIKFy4sTWvZsiWGDh2K27dvp9vLLCEhAQkJCdLv6pulJSUlISkpKVv51c/L7vP1jfOplC9fHps3b8akSZMwd+5cbN++HQcPHsTBgwfRvHlzTJo0CfXr189Rtg8fPuDSpUs4d+4czp8/jwsXLkivMbXixYujffv2OtleXe+7Pn366HR5Ir/2RM4GfMxlbm6O4cOH48cff8S8efPQrVs3vX7xd+3aNTx+/BjW1tZo1qxZuvtHtP2XnRzcqJmGjO7wLUtOhmv8UxSKDYZr4nMUSXwGx9jn8Fj8DB+iqsBm6XzVjGZmqDK7O6opkgGNm3mrBv63VaSYKJPhnwJdoIA5QuId0aBtAXjWK/CxIdLDQzNEaCggkyE5KQmnDh1CmzZtYJZe9+WGDXOwJ9Kmi8ZIQNWz1c9P1XYYHAzY2AD586t6wioUqvbEDx9Uy/DzS3+s0dGjS2L9+sqIjw9ERMQhFCrUGwkJLwAAlpYekMnMtMqjQd1b88IFoH59HguTMcaYwZUvXx5//fUXTpw4gTFjxuDq1avw9fWFn58fZs+ejZ49e8LMzIx7auZScrkcNWvWxOnTpxEQECBEo6b60vOBAwemeTJWsGBB9OjRAxs3bsSKFSuM1qh5+fJl/PKLahiilStXwsHBwSg58orAwEB4e3sjPj4e9vb22LNnDypUqJBqvrVr18LLy0ujwSk0NFSjQROA9Lv6vS0tc+bMwfTp01NNP3bsGGxttRjbKgP+/v45er6+cb6PunfvjoYNG2LXrl04efIk/P394e/vj8qVK6Nbt26oVKmSxntVetmioqJw9+5d3LlzB0FBQXj06BGSk5M15rGxsUH58uXh5eUFLy8vlCtXDidPntTp9vCxzT6RswGqfKVKlYK1tTVu3bqFmTNnolatWnpbn/qqimrVquH06dNa5RNBXFxclp/DjZppUN/h28VFc7oZKdC2Z0+0T6f1OOKfaEj9JuRyvKn7JS5etUSIZSICo/bipZktLMseR5i1F2Lk+TWeO7HUdtV4j2HAxkGAZ/NUi//IiJfyAGk3Rqr3lUKhutpdm8ZIQDUW6a5dqp6ue/aotl+hUDVsOjqqelV++23GyyhTBujRowM2bAhEaOheyGS9YWb2HICqUTMreSTq3povX+aeO5YzxhgzSU2aNMGlS5ewdetWTJw4Ec+fP0fv3r2lmwmpT/y5p2buU7duXalR81utvpXVn5s3b+LixYswNzdH3759053vf//7HzZu3Ijt27dj4cKFGuNuGkJSUhL69+8PpVKJr7/+Gm3btjXo+vMiT09PXL9+HZGRkdi1axf69u2LU6dOaTRsfvjwAVu3bsWUKVN0sk5fX1+NG8dGRUXBw8MDLVq0yHYjdlJSEvz9/dG8eXODjHeXVZwvfQMGDMDjx48xf/58/P777wgMDERgYCA+++wzTJw4EY0aNcLx48fRvHlzmJub49mzZzh79izOnz+Pc+fOISgoKNUyixQpggYNGqBBgwaoX78+KleurLebV/GxzT6RswGp8129ehULFy7EyZMn9XbzOiLCuHHjAABDhgxBmww6aIm2/z7tEa0NbqlJg/oO358OXaSUyZHg6Ajzt5EItSyGEMviCLUsjhDLYrgTUxxf9SmHlKP1WOzfgwmfAY8ff4YEAK4uI1HUPp07CkHL8R4F8Wlj5Js3qulv3qgaObVpjFQrU0Z16f4PPwBXrgCxsaqbktesmcll4ikMH94RGzb8BKXyCKys4hEWpmrUJPLIch7Jl1+qxh/gu8UxxhgzMjMzM/Tu3RtdunTBr7/+ijlz5uDKlSto3Lix9CGUGzVznzp16gCAEDcLUvfS7NixY6qedSnVrl0bNWvWxJUrV7B+/XqMHTvWUBEBAD///DNu3ryJggUL4teUY9IzvbG0tJTG7qtZsyYuXbqExYsXY9WqVdI8u3btQlxcHHx8fDSe6+rqioCAAI1pr1+/lh5Lj5WVFaysrFJNt7CwyPGJuS6WoU+cL22enp5Ys2aNdHnvmjVrcPbsWbRp0wZ16tSBl5cXtmzZgvPnz+PVq1epnu/l5YXPPvtM+leyZEmDjwvMxzb7RM4GfMw3evRoLF26FGfPnsXly5fTHKojp27fvo379+/D0tISHTt21Gq/iLL/spOBB/lLg/oO3wpF6sdOLlqEJnWj0LnSAwwrdxwzS6zFSpep2GX/DRJqao7d4eQE1Kp1AQkJ5yCTWcDFZWS661SP99ipk/YNecambow8exZYuVI1beVK1e+zZmWxARGq7W7eXDVmZ/PmWdsPNWrUgLu7O5KSYjF9+j+oX191+Xn79h7ZzgMzM9WdiHgsTMYYY4KwsbGBr68vHj58iKFDh0Iul0vjD3GjZu6jbtS8efMmPnz4YLQccXFx2LRpE4DUNwj6lEwmw9ChQwEAfn5+UCqVes+nFhQUhBkzZgAAlixZkuaNtZj+KZVKjfEuAdWl5+3bt091TLy9vREYGIiwsDBpmr+/PxwcHNK8hJ2xzBQrVgzLly/H48eP8d1338Ha2hoBAQHYuHEjdu7ciVevXsHc3Bx169bFmDFjsHfvXoSFheHOnTtYvXo1fHx8UKpUKaPe6IzlXkWLFpXGPJ03b55e1qG+QVDz5s2RP3/+TOY2fdxakwb1Hb7T6vmaZG8Pkmnutox6WL5+vQAAYG3dG3J52icbWR7vUTBOTqqbrgOqn8ZolJXJZGjfvj0A4J9//oJSqWrUbNSouMk0EjPGGGPacnFxwYoVKxAYGIhOnTqhevXqqPTpzQKZyfPw8ICrqysUCgWuXbtmtBw7d+5EZGQkSpYsiaZNm2Y6f8+ePZE/f348efIER48eNUBCVUPagAEDkJiYiDZt2qBnz54GWW9e5+vri9OnT+Pp06cIDAyEr68vTp48iV69eknzPHz4EKdPn8aAAQNSPb9FixaoUKEC+vTpgxs3buDo0aOYPHkyhg0blmZPTMa0VbRoUfz666948uQJxowZgzp16mDatGk4ceIEIiMj8e+//2L+/Pno0KEDfwHCDGrs2LGQyWT466+/cOfOHZ0vf9euXQCAr776SufLFhE3aqZBfYfvuDhVg2NGMuph+eDBA/j77wEAFCs2BsHBqvEmk5MBItXPd+9U41IWLpyF8R5Zmjp06AAA2LdvH54+fQpAdTLAGGOM5VZeXl7Yvn07pk6dKsRlQ0y3ZDKZEJegqy89HzBgAMy0uILF1tZWGgN0xYoVes2mtmLFCpw/fx729vZYuXIl97IykLCwMPj4+MDT0xNNmzbFpUuXcPToUTRv/vEGAevWrYO7uztatGiR6vlyuRwHDhyAXC6Ht7c3evfuDR8fH6nHLWM55erqitmzZ2PixImYOHEiGjdunOObSTGWE+XLl0fHjh0BAPPnz9fpsh88eIDAwECYm5tLnb5yO27UTEe/fqqekyEh6TdsZtbDctGiRSAitG3bFgcOVED//qrxJsPCVPefCQtT/d6/v2p8Sj0Mp5CnNG7cGA4ODggNDZUGe+ZGTcYYY4yZMnWj5qfjDhrK7du3ce7cOcjl8izdrGjIkCEAgIMHD0pfNuvLs2fP4OvrC0A1piZ//jOctWvX4unTp0hISEBYWJh0M5aUZs+ejefPn6fbIF68eHEcOnQIcXFxePPmDRYsWKC3G7IwxpgIxo8fD0B1l/IXL17obLnqS8+bNGkCpzxyySo3aqZDfYfvwoUh9bBUj7GpvsN3Rj0s37x5g/Xr1wMAxowZozH+5MaNwKpVqp/ZHu+RpWJpaYnWrVtrTCtWrJiR0jDGGGOM5VzdunUBGK9Rc82aNQCAdu3aZWncVk9PTzRr1gxEhNWrV+srHogIQ4YMQUxMDBo2bIjBgwfrbV2MMcaYLtStWxeNGzdGUlISFi1apLPl5rVLzwFu1MyQ+g7f6h6Wn97hO6MelsuXL0d8fDxq1aqFzz//XJqek5vhsMypu3EDgIODA19awBhjjDGTVqtWLQDA48eP8Ub9YdRA4uPjsXHjRgCZ3yAoLeobBq1ZsybVjWN0ZfPmzThy5AisrKzw22+/aXV5PGOMMWZs6t6aq1evRnh4eI6X9/TpU1y5cgVmZmYa7SK5HVf9TGTnDt9xcXFYvnw5AFUvTR7Tx3Bat24tjSlWqFAhI6dhjDHGGMsZR0dHeHp6AgAuXbpk0HX/+eefeP/+PYoVK5bmeIiZad++Pdzc3PDmzRvpkjhdCgsLw/fffw8AmDZtmrSfGGOMMdG1bNkSVatWRWxsrE7Gn1bX2UaNGsHFxSXHyzMV3Kippazc4Xvjxo14+/YtSpQogS5duhgmIAMA5M+fH40bNwaAPPWHzBgTh5+fH6pUqQIHBwc4ODjA29sbhw8flh4PDQ1Fnz594OrqCjs7O9SoUUPjZP/p06fo378/SpYsCRsbG5QuXRpTp05FYmKiMTaHMSYAY12Crr5BUP/+/SGXy7P8fHNzc+lycD8/P51mA4CRI0ciPDwc1apVww8//KDz5TPGGGP6IpPJpN6aS5YsQVxcXI6Wpz6fyGttUNyoqWMKhQILFy4EAIwePZoHuTYC9YfnypUrGzkJYywvcnd3x9y5c3HlyhVcvnwZX3zxBTp06IDbt28DAHx8fHDv3j3s27cPgYGB6Ny5M7p164Zr164BAO7evQulUolVq1bh9u3bWLRoEVauXImJEycac7MYY0ZkjDug37t3D6dOnYKZmRn69euX7eUMGDAA5ubmOHv2LG7evKmzfPv27cP27dshl8uxdu1a6UodxhhjzFR07doVJUuW1LgnS3a8fPkSFy5cAAB07txZV/FMAre46dhff/2Fhw8fokCBAlm6QyTTnS5duiAsLAznzp0zdhTGWB7Url07jd9nzZoFPz8//Pvvv6hYsSLOnz8PPz8/qZFi8uTJWLRoEa5cuYLq1aujVatWaNWqlfT8UqVK4d69e/Dz88OCBQvSXW9CQoLGmHVRUVEAgKSkJCQlJWVrW9TPy+7zdUmkLIBYeUTKAoiVR6QsQPbz1KxZE4Cqp2ZiYqJOhjbKLMuqVasAAK1atULhwoWzvQ+dnZ3Rvn177N69G8uXL8eyZcuylSelyMhIabzO0aNHo3Llyjo9xiK9bkTIwBhjTD/Mzc3xww8/YPjw4ViwYAEGDx6crY5xe/bsAQDUr18fbm5uuo4pNG7U1CEiwvz58wEA//vf/2Bvb2/kRHmXo6Mjj2XKGDM6hUKBnTt3IjY2Ft7/3VWufv362L59O9q2bQtHR0fs2LED8fHx0tAZaYmMjIRTJneWmzNnDqZPn55q+rFjx3J80zR/f/8cPV+XRMoCiJVHpCyAWHlEygJkPU9SUhLMzc0RHh6OdevWZeku5NnJkpSUhLVr1wIAqlWrhkOHDuVoHdWrV8fu3bvx+++/o3Hjxhm+J2mzb1asWIHg4GC4ubmhVq1aOc6Xkyz6ltPLERljjInt22+/xfTp0/H06VPs3LkTPXv2zPIy8uql5wA3aurU+fPn8e+//8LS0hIjRowwdhzGGGNGEhgYCG9vb8THx8Pe3h579uxBhQoVAAA7duxA9+7dUbBgQZibm8PW1hZ79uxBmbTuPAfg4cOHWLp0aYa9NAHA19cXo0ePln6PioqCh4cHWrRoAQcHh2xtR1JSEvz9/dG8eXOjX9opUhbR8oiURbQ8ImXJaZ4aNWogICAAtra2aNOmjV6z7NixA1FRUShatCgmT56c4+GUWrdujc2bN+PevXt4+/YthgwZkqU8KZ06dQrHjh0DAGzatAkNGzbMUba0iPS6Ufe6Z4wxljvZ2tpi5MiRmDJlCubNm4cePXpkqYPW69evcfr0aQDcqMlySN1L08fHB4ULFzZyGsYYY8bi6emJ69evIzIyErt27ULfvn1x6tQpVKhQAVOmTEFERASOHz+OQoUKYe/evejWrRvOnDmTaizgV69eoVWrVujatSsGDhyY4TqtrKxgZWWVarqFhUWOT8p1sQxdESkLIFYekbIAYuURKQuQvTz16tVDQEAArl69Ch8fH71mUY/r1a9fP9jY2OhkPcOGDcPIkSOxatUqDB8+PN0Ttoz2TVxcnHTZ+dChQ/HFF1/oJFt6RHjdGHv9jDHG9O9///sf5s6dixs3buDo0aMaQ1FlZu/evSAi1KpVC8WLF9djSjHxjYJ0RH3TBwB890XGGMvjLC0tUaZMGdSsWRNz5sxB1apVsXjxYjx69AjLli3DunXr0LRpU1StWhVTp05FrVq1sHz5co1lBAcHo0mTJqhfvz5Wr15tpC1hjIlCPQ6vvu+A/vDhQ/z999+QyWTo37+/zpbr4+MDW1tb3L59G2fOnMnWMqZNm4aHDx9KN2RjjDHGcgMnJyfphsfz5s3L0nN37doFAPjqq690nssUcKOmjixcuBBEhPbt26N8+fLGjsMYY0wgSqUSCQkJ0thoZmaa5Vcul0OpVEq/v3r1Co0bN0bNmjWxfv36VPMzxvIedaPm1atXkZiYqLf1rFmzBoDqBkG67PGRP39+9OrVC4BqTMysunz5Mn755RcAwMqVK7M9rAZjjDEmolGjRsHCwgInT57ExYsXtXrOu3fvcOLECQB589JzgBs1deL169fYuHEjAGDMmDFGTsMYY8yYfH19cfr0aTx9+hSBgYHw9fXFyZMn0atXL5QvXx5lypTB4MGDERAQgEePHuGXX36Bv78/OnbsCOBjg2axYsWwYMECvHnzBqGhoQgNDTXuhjHGjKpMmTIoUKAAEhISEBgYqJd1JCYmSpeeZzbkRXb873//AwDs3r07S+9pSUlJ6N+/P5RKJXr27Im2bdvqPBtjjDFmTO7u7tKXf9r21ty3bx8UCgWqVq2a7vj8uR03aurA8uXLkZCQgLp16+Kzzz4zdhzGGGNGFBYWBh8fH3h6eqJp06a4dOkSjh49Kt1w4tChQ3B2dka7du1QpUoV/P7779i4caN04w9/f3/p8k93d3cUKVJE+scYy7tkMpneL0Hfv38/wsLC4Orqii+//FLny69WrRq8vb017q6ujZ9//hk3b95EwYIFsXjxYp3nYowxxkQwbtw4AKpxMu/evZvp/OpLz/NqL02AGzVzLDY2VhoHbezYsVm6SxVjjLHcZ+3atXj69CkSEhIQFhaG48ePo3nz5tLjZcuWxZ9//onXr18jNjYWN27cQJ8+faTHv/nmGxBRmv8YY3mbulFT28vSsuq3334DAHz77bd6u0GNurfmqlWrkJycnOn8d+/exYwZMwAAS5YsgbOzs15yMcYYY8bm5eWFDh06gIikG1GnJzIyEv7+/gC4UZPlwPr16xEeHo7SpUtLlw4yxhhjjDGma3Xr1gWgn56aT548wbFjxwAAAwYM0Pny1b766isULFgQL168wMGDBzOcV6lUon///khMTESbNm3Qs2dPveVijDHGRDB+/HgAwKZNm/Dq1at059u/fz+SkpLg5eWFChUqGCqecLhRMwcUCgUWLlwIABg9ejTkcrmREzHGGGOMsdyqdu3aAFS9FyMjI3W67LVr14KI0Lx5c5QqVUqny07J2tpauqt6ZjcMWrFiBc6fPw97e3usXLmSr4hijDGW63l7e6NRo0ZISkrCr7/+mu58f/75J4C83UsT4EbNHNm9ezeePHmCggUL4ptvvjF2HMYYY4wxlou5uLigRIkSICL4+flBoVDoZLnJyclYt24dAP3cIOhTgwcPhkwmw7Fjx/Dw4cM053n27Bl8fX0BqMbU9PDw0HsuxhhjTATq3porV67E+/fvUz0eExODI0eOAFBdAZGX6b1R08/PD1WqVIGDgwMcHBzg7e2Nw4cPa8xz4cIFfPHFF7Czs4ODgwMaNWqEDx8+SI+Hh4ejV69ecHBwgKOjI/r374+YmBh9R89QyjEOhg0bBltbW6PmYYwxxhhjuV+nTp0AAL6+vqhatSoOHjyY4zF3Dx48iJCQEDg7O6NDhw66iJmhUqVKoXXr1gBUJ2yfIiIMGTIEMTExaNiwIQYPHqz3TIwxxpgoWrdujcqVKyMmJgZ+fn6pHj906BDi4+NRunRpVKlSxQgJxaH3Rk13d3fMnTsXV65cweXLl/HFF1+gQ4cOuH37NgBVg2arVq3QokULBAQE4NKlSxg+fDjMzD5G69WrF27fvg1/f38cOHAAp0+fxqBBg/QdPUNnzpzBpUuXYG1tjWHDhhk1C2OMMcYYyxvmzp2LhQsXokCBArh9+za+/PJLNG3aFJcvX872MlevXg1AdYMgS0tLXUXN0NChQwEA69at0+jMAACbN2/GkSNHYGVlhd9++03jvIAxxhjL7WQymdRbc/HixanqZMpLz/P60Cx6/4TQrl07tGnTBmXLlkW5cuUwa9Ys2Nvb499//wUAjBo1CiNHjsSECRNQsWJFeHp6olu3brCysgIABAUF4ciRI1izZg3q1q2Lzz77DEuXLsUff/yB4OBgfcdPl7qXZt++feHi4mK0HIwxxhhjLO+wtLTEqFGj8OjRI4wbNw5WVlY4ceIEateuja+//hpPnjzJ0vKeP38uXcKmzxsEfap169YoXrw43r9/j+3bt0vTw8LC8P333wMApk2bBk9PT4NlYowxxkTRvXt3FC9eHGFhYdi4caM0/cOHD9KN9vL6pecAYG7IlSkUCuzcuROxsbHw9vZGWFgYLl68iF69eqF+/fp49OgRypcvj1mzZuGzzz4DoOrJ6ejoiFq1aknLadasGczMzHDx4kXpEpxPJSQkICEhQfo9KioKAJCUlISkpKRs5Vc/LzAwEAcOHIBMJsPIkSOzvbycUq/XWOtPSaQsgFh5RMoCiJVHpCyAWHlEygKIk8fY62eMMVEUKFAA8+bNw7BhwzBlyhRs2rQJ27Ztw59//olhw4Zh8uTJcHJyynQ5GzZsgFKpRJMmTVC2bFkDJFeRy+UYMmQIfH194efnh169egFQdXgIDw9HtWrV8MMPPxgsD2OMMSYSc3Nz/PDDDxg5ciTmz5+PAQMGwNzcHEePHkVsbCyKFSum0U6WVxmkUTMwMBDe3t6Ij4+Hvb099uzZgwoVKki9NadNm4YFCxagWrVq+P3339G0aVPcunULZcuWRWhoaKqekObm5nByckJoaGi665wzZw6mT5+eavqxY8dyPP6luhtw3bp18eDBAzx48CBHy8spf39/o64/JZGyAGLlESkLIFYekbIAYuURKQtg/DxxcXFGXT9jjImmWLFi2LhxI77//nuMGzcOx48fx6JFi7B+/XpMnDgRI0aMgLW1dZrPVSgU2LBhAwAYZWinfv36YerUqQgICMCVK1cQEBCAnTt3Qi6XY+3atbCwsDB4JsYYY0wU/fv3x4wZM/D48WP8+eef6N69O3bt2gWALz1XM0ijpqenJ65fv47IyEjs2rULffv2xalTp6BUKgGo7oD47bffAgCqV6+Ov//+G+vWrcOcOXOyvU5fX1+MHj1a+j0qKgoeHh5o0aIFHBwcsrXMpKQkbN++HadPnwYAzJs3D97e3tnOmFNJSUnw9/dH8+bNjf6hT6QsouURKYtoeUTKIloekbKIlEfd654xxpim6tWrw9/fH8eOHcPYsWNx8+ZNjBs3DsuWLcOsWbPw9ddfpxqb8tq1a3j58iUKFiyY7tVP+uTi4oKuXbtiy5YtmD9/Pk6ePAkAGDNmDGrUqGHwPIwxxphIbG1tMWLECEydOhXz5s1Dx44dsX//fgCqRk1moEZNS0tLlClTBgBQs2ZNXLp0CYsXL8aECRMAABUqVNCY38vLC8+fPwcAuLq6IiwsTOPx5ORkhIeHw9XVNd11WllZSeNypmRhYZGjE/JDhw4hMTER9evXR6NGjbK9HF3K6TbpkkhZALHyiJQFECuPSFkAsfKIlAUwfh6R9gVjjImoRYsWaNq0KTZv3ozJkyfj+fPn6NOnDxYuXIiff/4ZzZo1k+Y9duwYANUY8Wl9bjaEoUOHYsuWLdi9ezcAoEyZMpg6dapRsjDGGGOiGTZsGObNm4dr165h/PjxiIqKQpEiRYzawU4kRrmVoFKpREJCAkqUKAE3Nzfcu3dP4/H79++jePHiAABvb29ERETgypUr0uP//PMPlEol6tata9DcMTEx0kDqY8eONei6GWOMMcYY04ZcLkffvn1x//59zJ07Fw4ODrh27RqaN2+OVq1a4ebNm3j16pV0x3RD3iDoU/Xr10eVKlWk31etWgUbGxuj5WGMMcZEUrBgQWmImMWLFwMAOnfunOrqi7xK73vB19cXp0+fxtOnTxEYGAhfX1+cPHkSvXr1gkwmw9ixY7FkyRLs2rULDx8+xJQpU3D37l30798fgKrXZqtWrTBw4EAEBATg3LlzGD58OHr06AE3Nzd9x9ewfv16xMTEoEyZMmjXrp1B180YY4wxxlhW2NjYYPz48Xj06BG+++47WFhY4OjRo6hWrRq+/PJLKJVKfPbZZ/Dy8jJaRplMJo1X365dOzRs2NBoWRhjjDERjR49GubmHy+05kvPP9J7o2ZYWBh8fHzg6emJpk2b4tKlSzh69CiaN28OAPj+++/h6+uLUaNGoWrVqvj777/h7++P0qVLS8vYsmULypcvj6ZNm6JNmzb47LPPsHr1an1H15CcnIwlS5YAUN2VUS6XG3T9jDHGGGOMZUehQoXw66+/IigoCN26dQMR4fbt2wAgdSQwpq+//hpPnjxBv379jB2FMcYYE46Hhwe+/vprAICzszN/AZiC3sfUXLt2babzTJgwQRpfMy1OTk7YunWrLmNl2evXr+Hm5oaIiAj07t3bqFkYY4wxxhjLqtKlS2P79u0YPXo0pk6dirdv3wrT26No0aK4ceOGsWMwxhhjQpo6dSpu3bqFfv36afTazOt4T2ipaNGiOHXqFDZv3szj/DDGGGOMMZNVt25d7N+/H4cOHYK1tbWx4zDGGGMsE6VKldK41wxT4ZFFs8jJycnYERhjjDHGGGOMMcYYy9O4UZMxxhhjjDHGGGOMMWZSuFGTMcYYY4wxxhhjjDFmUrhRkzHGGGOMMcYYY4wxZlK4UZMxxhjTIT8/P1SpUgUODg5wcHCAt7c3Dh8+LD0eGhqKPn36wNXVFXZ2dqhRowb+/PNPjWWEh4ejV69ecHBwgKOjI/r374+YmBhDbwpjjDHGGGOMCYsbNRljjDEdcnd3x9y5c3HlyhVcvnwZX3zxBTp06IDbt28DAHx8fHDv3j3s27cPgYGB6Ny5M7p164Zr165Jy+jVqxdu374Nf39/HDhwAKdPn8agQYOMtUmMMcYYY4wxJhxzYwdgjDHGcpN27dpp/D5r1iz4+fnh33//RcWKFXH+/Hn4+fmhTp06AIDJkydj0aJFuHLlCqpXr46goCAcOXIEly5dQq1atQAAS5cuRZs2bbBgwQK4ubmlud6EhAQkJCRIv0dFRQEAkpKSkJSUlK1tUT8vu8/XJZGyAGLlESkLIFYekbIAYuURKQsgVh4RszDGGGMstTzTqElEAD6e5GVHUlIS4uLiEBUVBQsLC11FyxV5RMoiWh6RsoiWR6QsouURKYtIedTv4er3dNEpFArs3LkTsbGx8Pb2BgDUr18f27dvR9u2beHo6IgdO3YgPj4ejRs3BgBcuHABjo6OUoMmADRr1gxmZma4ePEiOnXqlOa65syZg+nTp6eavnfvXtja2uZoO/76668cPV+XRMoCiJVHpCyAWHlEygKIlUekLIBYeUTIEhcXB8B06p6x5MZzvU9xvuwTORvA+XJC5GwA58uq7Jzr5ZlGzejoaACAh4eHkZMwxhjLqejoaOTPn9/YMdIVGBgIb29vxMfHw97eHnv27EGFChUAADt27ED37t1RsGBBmJubw9bWFnv27EGZMmUAqMbcdHFx0Vieubk5nJycEBoamu46fX19MXr0aOn3V69eoUKFChgwYIAetpAxxpghiV73jI3P9RhjLPfISs3LM42abm5uePHiBfLlyweZTJatZURFRcHDwwMvXryAg4ODjhOadh6RsoiWR6QsouURKYtoeUTKIlIeIkJ0dHS6l2CLwtPTE9evX0dkZCR27dqFvn374tSpU6hQoQKmTJmCiIgIHD9+HIUKFcLevXvRrVs3nDlzBpUrV872Oq2srGBlZSX9bm9vn6vqnkhZRMsjUhbR8oiURbQ8ImURLY9IWUyl7hlbbjzX+xTnyz6RswGcLydEzgZwvqzKTs3LM42aZmZmcHd318my1He0FYVIeUTKAoiVR6QsgFh5RMoCiJVHpCyAGHlMoaeKpaWl1POyZs2auHTpEhYvXoxx48Zh2bJluHXrFipWrAgAqFq1Ks6cOYPly5dj5cqVcHV1RVhYmMbykpOTER4eDldXV60z5Na6J1IWQKw8ImUBxMojUhZArDwiZQHEyiNKFlOoe8aWW2teWjhf9omcDeB8OSFyNoDzZUVWax7f/ZwxxhjTM6VSiYSEBGlsNDMzzfIrl8uhVCoBAN7e3oiIiMCVK1ekx//55x8olUrUrVvXcKEZY4wxxhhjTGB5pqcmY4wxZgi+vr5o3bo1ihUrhujoaGzduhUnT57E0aNHUb58eZQpUwaDBw/GggULULBgQezduxf+/v44cOAAAMDLywutWrXCwIEDsXLlSiQlJWH48OHo0aMHX37IGGOMMcYYY//hRs0ssLKywtSpUzXGLDMmkfKIlAUQK49IWQCx8oiUBRArj0hZAPHyiCwsLAw+Pj4ICQlB/vz5UaVKFRw9ehTNmzcHABw6dAgTJkxAu3btEBMTgzJlymDjxo1o06aNtIwtW7Zg+PDhaNq0KczMzNClSxcsWbLE4Nsi0nEXKQsgVh6RsgBi5REpCyBWHpGyAGLlESkLMxzRjzvnyz6RswGcLydEzgZwPkOQUVbulc4YY4wxxhhjjDHGGGNGxmNqMsYYY4wxxhhjjDHGTAo3ajLGGGOMMcYYY4wxxkwKN2oyxhhjjDHGGGOMMcZMCjdqMsYYY4wxxhhjjDHGTAo3ajLGGGOMMcYYY4wxxkwKN2qaGL5ZPTN1/Bo2DXycmAj4dciYbvHfFGNi479RxkwP/90aFzdqmpDw8HDIZDJjxwAA/P3337h165axY0gCAgLQo0cP3Lhxw9hREBMTY+wIqYjyRvv69WthXsP//PMPjh8/buwYkosXL6Jp06b4999/ARj3mL17906Y48TyLpFqHiBW3eOaZzpE2j8nTpxAaGiosWNILl26hBEjRuDBgwfGjoLExERjR2BMuLqXkkg1MC0i1cW0iFQLTI3o+0602pqSSHU2LbqqvdyoaQL27t2Lhg0bolu3bhg0aBAuXbpktCx//vknqlSpgubNm+Pq1atGy6G2e/dueHp6ol69etixYwdevHhhtCx//fUXvL298fXXX2Ps2LF48uQJAOM0Th05cgRdunTBrl27jJYhpb1798Lb2xsdOnRAjx49sHfvXqPl2r17NypXroxmzZrh0aNHBl9/Wnk8PT3x2Wef4cSJE7h27RoAGOVD7f79+1G7dm107twZQ4YMwblz5wAY7/Vz+PBhDBw4ECdPnjRqDmZYItU8QKy6xzUvfYcOHcKECRNw+/Zto+ZQ27t3L7744gv4+Phg/PjxePXqldGyqF/DTZs2xdmzZ42WI2We8uXLo27duli+fDliY2ONlkX9fjNgwADMnj0bcXFxRsvCNS/vEq3upSRSDUyLSHUxLaLVypREq5ufEqmOpkW02pqSSHU2LTqvvcSEFRgYSI0aNSIPDw/68ccfacOGDVSxYkXq2LEjvX792qBZLl++TEWKFKHChQvTlClTKCYmxqDr/9TWrVvJ2dmZChUqRHPnzqXHjx9T/vz56ezZs0bJM3/+fCpZsiRNnTqVNm/eTNWqVaPPPvuM7t69S0RESqXSIDlev35NAwYMIA8PD3J2dqbevXsbZL3puX//Pn3xxRdUokQJmjZtGu3du5eaN29OtWrVoqdPnxo0S2BgILm4uFDBggVp6tSpRn8N79mzhwoUKEDOzs40Z84cCg4OphIlStCWLVuIyHCvGbW1a9dSqVKlaPr06bRv3z5q06YNFS9enC5evGjQHEREr169Ih8fH3J2diZ7e3uaMmWKwTMwwxOp5hGJVfe45qXvyZMn1KNHD8qXLx+Zm5vTunXrDLbutFy+fJnq169P7u7uNGnSJFqwYAEVLFiQhg8fTlFRUQbNcu7cOSpatCi5urrS5MmTjV731q5dS66urlSwYEGaO3cuXblyhaytrenBgwcGz5KUlEQTJ06kEiVK0OTJk2nJkiVUtGhR6tGjh/T5xFCvY655eZdodS8lkWpgWkSri2kRqVamJFrd/JRIdTQtotVWoo+vJZHqbFr0VXu5UVNg/v7+NG7cOHr8+LE0benSpVSpUiV6+fKlQbMcPHiQZDIZXblyRZr29OlTSkpKMmgOIqLY2Fj67rvvyM/PT1p/cHAwlS5dmhYtWkREhikS6nWEhYVRuXLlaO3atdJjt2/fpsqVK1OnTp0MkkEtOjqavvrqK9qxYwf99NNPVK9ePTp06BARESkUCr1mSSvPzZs36YcffqB79+5J0/bs2UPly5enGzduGDTL3bt3SSaT0e7du6VpQUFBFB0drdccaeWJj4+n+fPn08qVK6XXsFKppKpVq9L48eOJSL/H69N9ExUVRRUrVqSff/5Zmvbu3Ttq3Lgxff755xQREaG3LGl5/Pgxde3alQ4ePEiDBw+mZs2aUUBAABEZ5nXMjEOkmkckTt3jmpexf//9l7p160YnTpyg1q1bU8eOHenJkycamQ0lOTmZNm/eTL6+vvT8+XNp+rhx46hWrVoUFxdn0CxLliwhmUwm7Q8iopCQEOn/htw/kZGR1KVLF1qxYoX0Or58+TIVK1aM/vjjD4PlUG/z48ePqWzZshqfCfz9/alcuXI0ZMgQIlLtQ0Pgmpc3KZVK4epeSqLUwLSIUhczIlqtTEmkuvkpkepoWkSrrSmJUmczoq/ay42agoiJiaELFy5QQkKCNC00NDTVt3RTpkyh8ePH6/VDTlpZIiIi6IsvvqAvv/ySVq5cSV5eXlS3bl2qWbMmHT58mOLj4w2SR/0m8embxYsXL6hs2bK0fPlyveX4NIvaiRMnqGLFinTs2DFpWkREBJUsWZJkMhn9+++/esny4cMH6f9KpVLaJ48ePSIiVS/JFi1a0IABA/Sy/szyEKk+dISFhWnMN3v2bOrXr5/GPjREFiKinj17Ur169ejnn3+msmXLUq1atcjT05NWrVql18bNlHnS+9t9+/YtNWjQgEaPHq3XYpjWvnn48CFVr16dNmzYIGVMSEigOnXqkEwm02shjIuLk76xVouPj5cawi9dukTVq1enWbNm6S0DM7y0jvvr16+NUvPSy2OsupdWlk8ZquallcVYNY9IVVNu3bql8R4ZFhZGt2/fJiKi48ePk7u7O23btk1vGTLL8+TJk1Sv4++//57mz5+v1/f2tLLcvXuX6tWrR/369aN169ZRlSpVqEGDBtSsWTO6fv26Xv+u0sqjpp724MEDcnJyoiNHjugtR3pZNm/eTJ6entJrh0jVYzJ//vwkk8noxYsXGll1JeVnH/WyExMTueblAWkd+zdv3hit7mWWLSoqymjnfhnlS2+/GKoupiWt/Xfq1Cmj1cqU4uLiUjWQv3nzxmh181Np5Xv69KlR6mha0spnzNqaWTY1Q9fZtKSVb8uWLXqpvdyoaWTR0dE0fPhwsrW1JU9PT6pfv770jU7Kg/nnn39SyZIlSS6XU6VKlah169YaLdz6yrJmzRoiUhWQXbt2kUwmowYNGtCGDRto586d1KZNG6pUqRItWbJEp1nSy6PeNynfLNT7qVSpUvTTTz8Rke6/XU8ry2+//UZEqkbEcuXK0cyZM6Xu5/7+/tSxY0eqVKkSde/ePVXmnHj79i19//33lD9/fqkRKr3tnTJlCnl7e9OZM2cynM8QeY4ePUqenp5kbm5OFSpUoPr169OyZcuIyHD75sqVK9JreOPGjfT3339Tv379qEKFCjRhwgSdZMhKHjX1a7hWrVo0cuTIdOfTdRb1t3ihoaHUpEkT6tevn9QIfebMGerWrRvVrVuXmjZtSkS67TESGhpK/fr1I1dXV6pVqxa1aNGCDh8+nOZ6+vTpQ23atKFbt27pPAczrIyOu6FrXnp5UvZuN2TdSyuL+kOooWteWlkOHjxIRIaveUSq3geDBw+mfPnyUeXKlal169Z09OjRNNfz2WefUa9evejVq1dEpJ8eE2nlSetYbdu2jYoVK0ZyuZxq1KhBPXr0oPPnzxssS1xcHC1YsEB6Da9bt478/PyoTp06VL16ddq1a5dOs6SXJ61jpVQqKS4ujlxdXWn16tWpHtdXFvX7zZ07d8jW1pY2bdokvUb27t1Lbdq0oXLlytHw4cN1munNmzc0YsQI8vT0pP379xNR+n+3XPNyF22PvaHqXlayGfrcT5t8af09GKIuaptP/dn62bNnBq+VKanruLu7O9WvX5+6d+9OgYGBRJS6LhqibmY3nyHqqLb5bt68SUSqDiKGrq2ZZUtr3xmizmqbT32FZlBQkF5qLzdqGtmmTZvI09OTzp07RwEBATRo0CCytLSk06dPa8y3fv16mj17Nj179ozOnTtHI0aMIGdnZ4qMjDRYlrCwMPLz89O4bDg2NpYGDhxIDRo00Hl3cG33DZHqg2vLli2pX79+Os3waZazZ89qZDlx4gQREc2cOZM8PDyocePGVKlSJbKxsaFff/2VZs2aRaVKldLZvgkKCqLWrVtTnTp1qF69etSyZcs051O/EQQEBFCTJk2khjJd0yaP+g1rz549tGjRInr16hXdvHmT5s2bRzKZTGdjBmm7b9auXUsXLlyQfk9OTqbp06dT0aJFddpbU9s8RB/3kY+PDzVv3lxnGbTJon6tbNiwgcqUKUM1a9YkLy8vMjc3p19++YV+//13sre31+l7zZkzZ6h27drUrl07OnXqFB08eJBatWpF3t7eUqOqUqmUPpAeOXKEqlevLl1SxEyTNsddfcwNUfMyyqN+XwoODqaVK1fqve5p+zehps+alzLLyZMnNbKoL6+aNm0aFS9eXO81T23x4sVUqVIlOnv2LB07dozatm1Lbm5udP/+fWmexMREIlKdAJUoUYL27t2r0wxZyaN+X124cCFNmzaNHjx4QIcOHaLOnTtT7dq1dTr+VnpZ1D1sr1+/TkuWLNEYBubdu3fUunVr6tWrl86vmtDmWKk9e/aMateuTTNmzNBphk+znDlzRiPLnTt3iIioX79+VLRoUWrfvj1VrVqVHBwcaNmyZTR06FBq2rSpzvbNtWvXqFGjRlStWjWqUqUKDR48OM35uOblPtoce/V7uyHqXlazhYaGGqQGZjdfSvo+F8woX+XKlTXyqWvAjBkzDForiVSvp6NHj1LVqlWpffv29Pfff9PGjRupSpUq1L17d40hpdQNsIaom1nNZ8g6mpV84eHhRKSqrUuXLjVYbdUm2/v371M9R991NqN8x48f18j39u1bIiKpwVOXtZcbNY2sXr16NGzYMOl3pVJJXbt2pZo1a2qMzfCpc+fOUcmSJaVvhfSdRX2Cl9ab78KFC6latWo6v/FLVvdNvXr1aNSoUTrNkFmWatWqUUREBCUmJlJAQACNGzeOfv75ZwoODiYi1b5p1KiRzhrL4uLiaMiQIXThwgVat24dlS9fnv766y8iSv8byTFjxtBnn31G165dI6KPl0jo4lu47ORRe/HiBbm5uUm9gQ2VRX3im9KuXbuoTJkydOnSJZ1kyUqelLp3705du3bVeaHOKIt6fyQnJ9ODBw/o559/pkWLFlFoaCgRqXoOVKtWTbocIKcUCgWtW7eOBg8eLP2dEBEdPnyY6tatm+4A7126dKFOnTpJwyukdRyZuLQ97um9L+m65mWWR927XaFQaAzZoKbLupfdvwl91LzMspw6dYqIVCe1ly5d0nvNI1LVrJS9b4hUjc2NGjVK98uiGjVq0KBBg+jNmzdERDodAy47edSv661bt1KlSpWk8RL1maVFixZEpHqvTFlT1Fm+//57atSokU5vupCdfVO8eHFasGABEem2B0lGWZo1a0ZERO/fv6fDhw/TgAEDaNasWdLr+LvvvqMvv/xSZ5lev35N/fr1o2vXrtGPP/5I3t7e0hf06S2fa17uoM2xN1Tdy0o29edUQ9TA7ORL7+9Gn+eCWcmn/nuNi4szWK1US0xMpNmzZ9OYMWOkGkhEtHr1aqpfv770nvIpfdZNXeTTVx3Naj71DXcMWVu1zZbevtNXnc1qPvWXreHh4XTkyBGd1l5u1DQS9YGqW7eu9OarfvN4+vQpmZmZ0aZNm9J93pIlS8jd3Z0ePnxotCzqgte/f3+qWLEixcbG5jhLdvKoH/v666+lXm666javbZa0/vCSk5Opffv20olFTqm3Sf0G+uTJE+rcuTO1a9cuw+wnT56kJk2a0NixY2nHjh1Uv359nbyhZTXPp8/bvHkzeXh40OXLl42WRb0ffH19qUSJEhpvwIbMo/5b+uGHH6hq1aoa2QyVJb2/mX79+lHNmjV1ehnPvXv3pG8T1dt55coVsrKy0hh0m+jjvtm5cyfVrl2bli5dSjt27KCvvvrK6IOZs6zJynFX00fNy0kefdW97PxN6KPmaZslrfXpuuap1xMfH0+VKlWSbmSmXvfJkydJLpdLDdDqDEREfn5+5OXlRXv37qXt27fTiBEjdLKPspIn5Xu4+v8//vgjFS9eXCdXKGiTJa0rW9T7qF27dtSgQQOd1pqsHCv1eps1a0Z9+vTRmF8XWRISErK8b4hUDfYNGzakXr166SSLmvoE9+rVqxleQcM1L/fR9tir6bPu5TSbvmpgTvPpuy5mN5+hauWnLl++LNVx9b45evQo2dvbp7r5p77rZk7zqemjjuoyn75qa06y6bPO5iRfWhlyWnvNwIzCzMwM8fHxqFevHq5cuYLk5GSYm5sjOTkZxYsXR7t27bBp0yaN53z48AHx8fHYtGkTNm3ahGHDhqF06dJGy5KUlIT169fj0qVLmDlzJmxtbXOcJat5iAjm5uYgIri4uECpVOLDhw+QyWQGzWJmZgYiAgCEhYUhNjYWq1atwtOnTzFjxgydZFFvk52dHQCgRIkSaNq0Ke7fv49Tp04BABQKhUZ2AKhQoQJiY2OxYMECDBw4EJ6enlAqlVJeQ+UBgMjISMTExGDz5s1YvHgxevXqhRo1auQoR06yxMXFYePGjTh8+DAmTZqEQoUK5ThLdvLI5XIAQLFixRAbG4vIyEjp+BkqS8q/mZcvXyI6OhqrV6/G5cuXMWvWLCmjLpQrVw6Ojo4gImm958+fR61ateDs7Kwxr3q9jRo1wtu3bzFy5Eh8++23KFq0KJRKpc4yMf3LynEH9FfzcpJHX3Uvq38T+qp52mZJuT591Tz1emJjY+Hp6Yk7d+4gOTlZWnejRo1Qt25drFq1CoDqfUz9ftGpUye8ePECnTt3ho+PDxwdHXXyfpGVPOr38KSkJCQlJUm1ZuLEiXBxcTFIltWrV2s8Jzk5GQqFAmvWrMHTp08xc+ZMndaarBwrMzMzKBQK2NrawtraWmN+XWSJiYnRat+oa/H79+8RHx+PNWvWIDo6GpMmTdJJFrV8+fIBAKpXr46aNWvi6tWruHbtGgBovDa55uU+GR37Tz+b6rvuZSXbp683fdbAnObTd13Mbj5D1cpP1axZU6rj6vf4v//+G02bNoWDg4PGvPqumznNB+ivjuoqnz5ra06y6bPO5iRfygw6q73ZagplmVJ3TU6vB5+65XrFihVUs2ZNaSBo9aXB+/btI0tLS+ly7z///JNGjRpFZcqUoSJFitDixYuNlmX79u30v//9j0qUKEFubm7k5+endRZ95FHP37lzZ2rfvn2WxifRdZbQ0FCaOXMmubu7U+HChaVBeXWRJa0bRdy6dYtat25NX3/9dZrL3LNnDxUsWJAKFy4s3ZTHWHmOHz9OY8aMkV7DCxcuNFqWo0eP0ogRI6TX8NKlS7XOoo886nlGjBhBzZs3l8YcMUaWhIQEmjVrFrm7u5OLi0uW7yKZUR6FQpHqciv17506daLJkyen+dzff/+drKysyN3dPcuvY2YYuj7uu3fvznbN00eenTt3Zrvu6TqLej5d17zsZHn9+nW2ax4R0cGDB+nmzZvSJXgpl52yBo8fP54aNmyYqhfk0qVLqXDhwhrPW7NmDdnZ2ZGHh0eW3790nef333+nESNGUJkyZcjNzS1L71+6zrJu3ToaMmQIlSxZkooWLZrloV90nUc9v7e3N/n4+Bg1y71792jatGnk4eFBrq6u0s30tOnRklGWlH9TKR87ceIENWzYkHx9fdNcJtc806DrY5/TuqfPbDmpgYbIl5O6aIh8Oa2V2cn26Q1jmjRpQitXrkz1GFHO6qa+823atCnbddQQ+davX5+j2qrPbOr5s1NnDZHv/v372a69n+JGTR1KSEighQsXklwupyJFiqR6XKlUpvrgFRoaSq1ataIuXbpozHvo0CEqXry4dGnuw4cP6eeff6bt27cbPcu9e/doxowZtHXrVq2y6CvP1atXiejjH5S2lw7rI8uVK1ekLP7+/rRjxw69ZFF321Z/YFcqlbRgwQLy9PSk69evExFpdMe/efNmlt5c9ZFHPTbjq1evaM2aNVrfEU6fWZ4/f05Lly6lP/74Q6ss+sqjPlbqebQdf0Xfr5vLly/Tn3/+qVUWXeQJDQ2lQoUK0cWLF6V5Uo7lExAQkKMP90w/9HHc1V8Y3b17N0s1T995bt++naW6p8+/CXUmfdU8bbKoxwtLSEjIUs0jUt01dPLkyeTo6EjVqlWjkiVLUosWLaRx25KSklI1ut69e5dq1KhBY8aM0Zju5+eXaly3v/76K0t35dVHnsePHxMRUWBgIE2YMEHr140+s1y9epVGjhxJmzdv1nLP6P9YEaluYmCsLOrhFKKjo2nHjh20bds2vWRR1/aU4xQOGzaMGjduLH3R8O7dO2l+rnni0sexV7+XBwUFZbnuGSrbrVu3snzuZ4h86r+brNZFQ+VTd1KIj4/Pcq3URTb1tDt37pCTk5PGTW1SDiuV1bppiHzqzxnXrl3LUh01dL5Lly5lubbqO5v62Kp/altnDZVP/Xk2IiIiS7U3I9yoqSOJiYm0ZMkSatiwIY0aNYrs7Oxo586dRJS6R8S1a9eoXbt25OnpSUlJSbRu3ToqUaIErVixQppn6tSp5O3tna2BwUXKIlqe3JBF/e2I+luMq1evUvPmzalLly707bffUtGiRaW75YqQx83NLct59JklOx94RDpWImXRRR4i1Z2UGzZsSEREL1++pBEjRtDnn3+e5SzMcPR13Bs1amTyeUT6mxApC5Hq7rSDBg2izz//nPbt20dRUVG0c+dOKlWqFE2cODFVnvbt20vjo/34449UqVIljS9chg8fLj1u6nlEyiJantyQRT32oPrv7vDhw9SoUSMaPnw4+fj4UPHixbOVhxmOvo59sWLFcnU2febT1d+NyPsvu9lS9lYdPHgwdezYkYhUdXzUqFHSGIui5uvdu3euz5dXj62u8qXEjZo6tHv3btqxYwe9ffuW+vbtK93wI6VZs2ZRwYIF6dtvv5V6SEVFRdG8efPIwsKCWrduTV999RU5OjrmqPu3SFlEy2PKWW7evJnq8b///pvc3d1JJpNRkyZN6NixY7kij0hZRMsjUpac5omNjaWWLVvS4MGDaejQoWRubk7e3t504sSJbOdhhiHacRcpD2dJW1RUFA0aNChVj/0ffvhB4+7YI0eOJHt7e/rmm2+kPC9evKBRo0aRTCajb775hrp27UqFChXK0Tf8IuURKYtoeUw9y507d1Itx9/fn/Lnz08ymYwaN25MR48ezVYeZjj6PvY5uYGHyNkMkS+nRM6X02xv376lBg0a0E8//UQDBw4kCwsLqlOnDp0/fz7H2Thf7s1mCvlS4kbNbDh79iwdOXJE+v3T8YGIiM6dO0dyuZyOHz9ORB+72d6/f59evHiR5nIPHz5MEydOpIEDB1JgYKDJZREtT17IsnjxYrKysqKOHTtqdOs2pTwiZREtj0hZ9JXn4cOHJJPJSCaTUbt27ejGjRta52GGIdpxFykPZ9E+D5HqxDgyMjLVvK1bt6bvvvtO+v3mzZupLlNW+/3332nYsGHk4+NDt27dMsk8ImURLU9eyDJp0iSSyWTUtWvXLNVgZjgiH3uRs3E+8Y7t+fPnpTretm3bHH3O5nzZzydyNlPIlxlu1MyCoKAg6ty5M8lkMipatKjG+Ddq6m+yYmNjqX379tIlWilPKtJ7jqlmES1PXsiiPll98uSJxliIppRHpCyi5REpiz7zqJe9cuXKLOVhhiHacRcpD2fJWR51JoVCQZGRkVS+fHlpgPj0fDrwvCnmESmLaHnyQhZ1DQ4KCqLg4GCtsjDDEvnYi5yN84l3bNXvdxcuXKCff/45W0NMcb6c5xM5mynk05Z+7jWfC8XHx+Pw4cOQyWT4448/EB0djb1796aaT32LeltbWwwfPhynT5/GlStXIJfLQURpLjvlbe1NLYtoefJKFjMz1Z9uiRIl4OLiYnJ5RMoiWh6Rsug7DwCUL18egwcP1joPMwzRjrtIeThLzvOomZmZ4cqVK4iPj0fnzp0zXHbKGqxtPRYpj0hZRMuTV7Koa3D58uVRpEiRTLMwwxL52IucjfOJeWzV73f16tXD2LFj4ezsnOVsnC9n+UTOZgr5skTvzaa5yJkzZ6Q7gA8dOpQqVapEMTEx6c4fFRVFjRs3pg4dOhCRalwf9d3QclMW0fJwFtPII1IW0fKIlEXEPMwwRDvuIuXhLDnPo+7d4uPjozFofFJSknRZfG7LI1IW0fJwFiYCkY+9yNk4X+7NxvlybzZTyKctbtTMpnv37pG5ubnG3RTTsnv3bpLL5eTj40NyuZymTZtG8fHxuTaLaHk4i2nkESmLaHlEyiJiHmYYoh13kfJwluznCQsLo5IlS9KZM2coOjqapk+fTmZmZrRnzx6dZxEtj0hZRMvDWZgIRD72ImfjfLk3G+fLvdlMIV9GuFHzP4mJiVrNp1QqpXECunXrRg0aNEj3RODWrVvUsWNHkslk1KBBA9qxY4fJZREtD2cxjTwiZREtj0hZRMzDDEO04y5SHs5iuDwbN24kFxcX8vHxIXt7e6pSpUqW7kotUh6RsoiWh7MwEYh87EXOxvn42HI+08tmCvl0Kc83al6/fp169uxJPXr0oEmTJmkMhq9UKjPsTnvp0iUyMzOT7iKa0tOnT6lt27ZUu3ZtunDhgsllES0PZzGNPCJlES2PSFlEzMMMQ7TjLlIezmK4POrLmIYPH04ymYzatGlDJ06cMMk8ImURLQ9nYSIQ+diLnI3z8bHlfKaXzRTy6UOebdR8+/YtDR8+nJydnembb76hGTNmkKOjI3Xv3p3u3buXav49e/akeRv6Fi1aULt27Sg6OpqOHTtGhw4d0liHqWURLQ9nMY08ImURLY9IWUTMwwxDtOMuUh7OYvg8hw8fJiKiwMBAevjwoUnmESmLaHk4CxOByMde5Gycj48t5zO9bKaQT5/ybKPmnj17qGPHjnTkyBFp2unTp6lUqVLk7+8vTVu1ahUVL16c8ufPT//880+q5Rw4cIBkMhkVL16cZDIZrV69mhQKhdSF19SyiJaHs5hGHpGyiJZHpCwi5mGGIdpxFykPZzFOnuy8V4iUR6QsouXhLEwEIh97kbNxPj62nM/0splCPn3KM42ad+/e1Rgb4Ny5c7R3716pOy0RUUJCAtnb29OxY8eIiOjBgwc0ZMgQWrJkCUVGRmosLyEhgVauXElubm5UqFAhmjFjRoZ3GxU1i2h5OItp5BEpi2h5RMoiYh5mGKIdd5HycBbOw8cq9+4bkbIwwxL52IucjfPxseV8ppfNFPIZUq5u1FQoFDR79mzy8PCg2rVrU7169WjTpk2p5lO3PJ87d47KlClDjx8/lqan1yr94sULGjhwIE2fPt3ksoiWh7OYRh6RsoiWR6QsIuZhhiHacRcpD2fhPNnJI1IW0fJwFiYCkY+9yNk4Hx9bzmd62Uwhn7Hk2kbNR48eUfv27alOnTq0detWunjxInXp0oWqV69Op0+fJiKi5ORkjecsW7aMPv/8c63vFGWKWUTLw1lMI49IWUTLI1IWEfMwwxDtuIuUh7NwHlPPIloezsJEIPKxFzkb58u92Thf7s1mCvmMKdc1aqpbnv39/alPnz506dIl6bG7d+/S559/TmvXrk3zeRUrVqSFCxfmyiyi5eEsppFHpCyi5REpi4h5mGGIdtxFysNZOI+pZxEtD2dhIhD52IucjfPl3mycL/dmM4V8IsgVjZrXrl2jOXPm0Llz56S7ej5+/JiePn2qMd+HDx8oX758tG/fPmma+kVy4sQJcnFxoaioKCIiCgoKogULFtDr169NNotoeTiLaeQRKYtoeUTKImIeZhiiHXeR8nAWzsPHKvfuG5GyMMMS+diLnI3z8bHlfKaXzRTyicZkGzWVSiVFRETQt99+S7a2ttSgQQNyd3cnb29vevfuXap5iVRjCpQuXZru37+fankzZsygQYMG0fnz56l169Ykk8no22+/pYiICJPKIloezmIaeUTKIloekbKImIcZhmjHXaQ8nIXz8LHKvftGpCzMsEQ+9iJn43x8bDmf6WUzhXwiM9lGTaKPt6i/evUqJScnU2BgILm5udHAgQPpxYsXRKQ64OqDPnfuXGrbtm2q5YSHh0u3rLewsCAfHx8KCQkx2Syi5eEsppFHpCyi5REpi4h5mGGIdtxFysNZOA8fK93m4SxMBCIfe5GzcT4+tpzP9LKZQj5RmXSj5rhx48jb21ujtXn79u1Uvnx5WrlyZar5vby8aMWKFammh4SEUOPGjWnBggX04cMHk88iWh7OYhp5RMoiWh6RsoiYhxmGaMddpDychfOYehbR8nAWJgKRj73I2Thf7s3G+XJvNlPIJyrhGzWTk5Np3rx59PXXX9PChQvpzp070mNTpkyh8uXLExFRUlKSNL1NmzbUrVs3qTWbiOjo0aPk5uZG0dHRlJiYSIsXL6aqVatScHCwSWYRLQ9nMY08ImURLY9IWUTMwwxDtOMuUh7Ownn4WOXefSNSFmZYIh97kbNxPj62nM/0splCPlMkbKNmcnIyrV27looWLUr16tWj4cOHU9myZals2bLSAKknT54kuVxOd+/eJSKihIQEIiJav349eXp60vnz54lI1UX3hx9+oHbt2tGMGTPIycmJSpQoQatXryYiIoVCYTJZRMvDWUwjj0hZRMsjUhYR8zDDEO24i5SHs3AePla5d9+IlIUZlsjHXuRsnI+PLeczvWymkM+UCduo+fbtW2rQoAH5+flJByUpKYns7e2lW9Y/fvyYatWqRb179yaijwc9MTGRbGxsaP/+/UREFB0dTWXKlCGZTEY1a9akPXv2mGwW0fJwFtPII1IW0fKIlEXEPMwwRDvuIuXhLJyHj1Xu3TciZWGGJfKxFzkb58tZPpGzcb6c5RM5mynkM2XCNmoSEc2ZM0e6hb36gDZu3JhGjhwpTfPz8yMLCwuNOz6FhoaSm5sbrVq1iohUL6ClS5fStWvXckUW0fJwFtPII1IW0fKIlEXEPMwwRDvuIuXhLJzH1LOIloezMBGIfOxFzsb5cm82zpd7s5lCPlMldKPmpz58+EAlSpSgw4cPS9PevXtHn3/+OdWvX5+OHj1KREQrV66kKlWq6PUOTyJlES0PZzGNPCJlES2PSFlEzMMMQ7TjLlIezsJ5TD2LaHk4CxOByMde5GycL/dm43y5N5sp5DMVwjdqphwPwN/fn8qUKUMvX77UmP7s2TNq1qwZubm5UZUqVcja2pp++eUXnY8lIFIW0fJwFtPII1IW0fKIlEXEPMwwRDvuIuXhLJzH1LOIloezMBGIfOxFzsb5cm82zpd7s5lCPlMkIyKC4BQKBeRyOQYNGoSQkBDs379feoyIIJPJEBMTgxs3buDJkyfo2rUrrKyscn0W0fJwFtPII1IW0fKIlEXEPMwwRDvuIuXhLJzH1LOIloezMBGIfOxFzsb5cm82zpd7s5lCPpNjgIZTnXj//j25u7uTv78/ERHFxcXRn3/+Sffu3cvTWUTLw1lMI49IWUTLI1IWEfMwwxDtuIuUh7NwHlPPIloezsJEIPKxFzkbEefLCZGzEXG+nBA5G5H4+UyJmbEbVbV1/PhxlC5dGhUqVMDkyZPh7OyM8ePH5/ksouXhLKaRR6QsouURKYuIeZhhiHbcRcrDWTiPqWcRLQ9nYSIQ+diLnA3gfDkhcjaA8+WEyNkA8fOZFGO3qmpDqVRS586dSSaTkbW1NVWqVEm6nX1eziJaHs5iGnlEyiJaHpGyiJiHGYZox12kPJyF85h6FtHycBYmApGPvcjZiDhfToicjYjz5YTI2YjEz2dqzI3dqKoNmUyGihUrIiYmBnPmzEGNGjU4i4B5OItp5BEpi2h5RMoiYh5mGKIdd5HycBbOY+pZRMvDWZgIRD72ImcDOF9OiJwN4Hw5IXI2QPx8psYkbhQEAEqlEmZmYlwtL1IWQKw8nCV9IuURKQsgVh6RsgDi5WGGIdpxFykPZ0kf50mfSFkAsfJwFiYCkY+9yNkAzpcTImcDOF9OiJwNED+fKTGZRk3GGGOMMcYYY4wxxhgDAG4aZowxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkjDHGGGOMMcYYY4yZFG7UZIwxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkjDHGGGOMMcYYY4yZFG7UZIwxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkjDHGGGOMMcYYY4yZFG7UZIwxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkjDHGGGOMMcYYY4yZFG7UZIwxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkjDHGGGOMMcYYY4yZFG7UZIwxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkzIhkMplW/06ePAkAePPmDb777juUL18eNjY2cHFxQZ06dTB+/HjExMRIy/3mm29gb2+vdY6IiAhYW1tDJpMhKChI15vJGGOMcc1jjDGWp3DdY0z/zI0dgLG8bNOmTRq///777/D390813cvLC+Hh4ahVqxaioqLQr18/lC9fHu/evcPNmzfh5+eHoUOHZqm4pbRz507IZDK4urpiy5Yt+Omnn7K9TYwxxlhauOYxxhjLS7juMaZ/3KjJmBH17t1b4/d///0X/v7+qaYDwPz58/H8+XOcO3cO9evX13gsKioKlpaW2c6xefNmtGnTBsWLF8fWrVu50DHGGNM5rnmMMcbyEq57jOkfX37OmIl49OgR5HI56tWrl+oxBwcHWFtbZ2u5z58/x5kzZ9CjRw/06NEDT548wfnz53MalzHGGMs2rnmMMcbyEq57jGUPN2oyZiKKFy8OhUKR6nKFnNq2bRvs7Ozw5Zdfok6dOihdujS2bNmi03UwxhhjWcE1jzHGWF7CdY+x7OFGTcZMRL9+/eDs7IxvvvkGXl5eGDp0KLZt24bIyMgcLXfLli3o0KEDbGxsAADdu3fHjh07kJycrIvYjDHGWJZxzWOMMZaXcN1jLHu4UZMxE1G4cGHcuHEDQ4YMwfv377Fy5Up8/fXXcHFxwcyZM0FEWV7mzZs3ERgYiJ49e0rTevbsibdv3+Lo0aO6jM8YY4xpjWseY4yxvITrHmPZw42ajJmQIkWKwM/PDyEhIbh37x6WLFkCZ2dn/Pjjj1i7dm2Wl7d582bY2dmhVKlSePjwIR4+fAhra2uUKFGCL0tgjDFmVFzzGGOM5SVc9xjLOr77OWMmSCaToVy5cihXrhzatm2LsmXLYsuWLRgwYIDWyyAibNu2DbGxsahQoUKqx8PCwhATEwN7e3tdRmeMMcayhGseY4yxvITrHmPa40ZNxkxcqVKlUKBAAYSEhGTpeadOncLLly8xY8YMeHl5aTz2/v17DBo0CHv37kXv3r11GZcxxhjLNq55jDHG8hKue4xljBs1GTMRFy9eRKVKlWBnZ6cxPSAgAO/evUODBg2ytDz15Qhjx46FtbV1qsfnz5+PLVu2cKFjjDFmcFzzGGOM5SVc9xjLHm7UZMxEbNq0CVu2bEGnTp1Qs2ZNWFpaIigoCOvWrYO1tTUmTpyoMX9SUhJ++umnVMtxcnJC//798eeff6J58+ZpFjkAaN++PRYvXoywsDC4uLjoZZsYY4yxtHDNY4wxlpdw3WMse7hRkzETMXjwYNja2uLvv//GX3/9haioKDg7O6NFixbw9fVF9erVNeZPTEzElClTUi2ndOnScHV1RUREBNq1a5fu+tq1a4dffvkFf/zxB0aOHKnz7WGMMcbSwzWPMcZYXsJ1j7HskRERGTsEY4wxxhhjjDHGGGOMacvM2AEYY4wxxhhjjDHGGGMsK7hRkzHGGGOMMcYYY4wxZlK4UZMxxhhjjDHGGGOMMWZSuFGTMcYYY4wxxhhjjDFmUrhRkzHGGGOMMcYYY4wxZlK4UZMxxhhjjDHGGGOMMWZSuFGTCeX169f46quvULBgQchkMvz6668AgAcPHqBFixbInz8/ZDIZ9u7da9ScjDHGWE5xzWOMMZaXcN1jjOkaN2oynVmxYgU2bNiQo2WMGjUKR48eha+vLzZt2oRWrVoBAPr27YvAwEDMmjULmzZtQq1atbK9jr///hv9+vVDuXLlYGtri1KlSmHAgAEICQlJc/7z58/js88+g62tLVxdXTFy5EjExMRozHPp0iUMHz4cFStWhJ2dHYoVK4Zu3brh/v37GvMplUps2LAB7du3h4eHB+zs7FCpUiX89NNPiI+P13obZs2ahfbt26Nw4cKQyWSYNm1amvPdu3cPo0aNQv369WFtbQ2ZTIanT59qvR61tWvXwsvLC9bW1ihbtiyWLl2aap7du3eje/fuKFWqFGxtbeHp6YkffvgBERERWq8nKCgIrVq1gr29PZycnNCnTx+8efMm1XxKpRI///wzSpYsCWtra1SpUgXbtm3L0jbt27cPNWrUgLW1NYoVK4apU6ciOTk51XwREREYNGgQnJ2dYWdnhyZNmuDq1atarycrWbXdfsaY8XHNy30178WLF5g+fTrq1KmDAgUKoFChQmjcuDGOHz+eat6s7te0vHr1Ct26dYOjoyMcHBzQoUMHPH78OM15tanDGdHmuAJAQkICxo8fDzc3N9jY2KBu3brw9/fP0rq0zZqV7WeMGR/XPfHqni7Ov/z8/NC1a1cUK1YMMpkM33zzTZrzcd1LH9c9IyPGdKRixYr0+eef52gZhQsXpl69emlMi4uLIwA0adKkHC1brWbNmlSyZEkaN24c/fbbb+Tr60v58uWjwoULU0hIiMa8165dI2tra6pevTr5+fnRpEmTyMrKilq1aqUxX5cuXcjV1ZVGjBhBv/32G82cOZMKFy5MdnZ2FBgYKM0XHR1NAKhevXr0008/0erVq+nbb78lMzMzaty4MSmVSq22AQC5urpSy5YtCQBNnTo1zfnWr19PZmZmVKlSJapWrRoBoCdPnmRpf61cuZIAUJcuXWj16tXUp08fAkBz587VmK9gwYJUuXJlmjJlCv322280cuRIsrS0pPLly1NcXFym63nx4gUVKlSISpcuTYsXL6ZZs2ZRgQIFqGrVqpSQkKAx74QJEwgADRw4kFavXk1t27YlALRt2zattunQoUMkk8moSZMmtHr1ahoxYgSZmZnRkCFDNOZTKBRUv359srOzo2nTptGyZcuoQoUKlC9fPrp//75W69I2a1a2nzFmfFzzcl/NW7p0KdnY2FDPnj1p2bJl9Ouvv1KNGjUIAK1bt05j3qzs17RER0dT2bJlycXFhebNm0cLFy4kDw8Pcnd3p7dv32rMq20dTo+2x5WIqEePHmRubk5jxoyhVatWkbe3N5mbm9OZM2e0Wpe2WbOy/YwxMXDdE6/u5fT8i4ioePHi5OTkRK1atSJzc3Pq27dvmvNx3Usb1z3j40ZNpjO6KHQymYyGDRumMe3Zs2cEgObPn5+jZaudOnWKFApFqmlpFdPWrVtTkSJFKDIyUpr222+/EQA6evSoNO3cuXOpGp7u379PVlZWGoU7ISGBzp07lyrT9OnTCQD5+/trtQ3qk7Q3b95kWOjevXtHUVFRREQ0f/78LJ/gxcXFUcGCBalt27Ya03v16kV2dnYUHh4uTTtx4kSq52/cuJEA0G+//ZbpuoYOHUo2Njb07NkzaZq/vz8BoFWrVknTXr58SRYWFhqvE6VSSQ0bNiR3d3dKTk7OdF0VKlSgqlWrUlJSkjRt0qRJJJPJKCgoSJq2fft2AkA7d+6UpoWFhZGjoyP17Nkz0/VkJau2288YEwPXvNxX827dukVv3rzRmBYfH0/ly5cnd3d3jelZ2a9pmTdvHgGggIAAaVpQUBDJ5XLy9fWVpmWlDqdH2+N68eLFVK+9Dx8+UOnSpcnb2zvT9WQlq7bbzxgTB9c98epeTs+/iIiePn0qNbba2dml26jJdS81rnti4EbNPO7ly5fUr18/KlKkCFlaWlKJEiVoyJAh0pv21KlTKa0OvevXr9c4WShevDgB0PiXsug9evSIvvrqKypQoADZ2NhQ3bp16cCBA6mW9+k/9fpT/itevLhe9oWTkxN17txZ+j0yMpLMzc1p7NixGvMlJCSQvb099e/fP9Nl1qhRg2rUqJHpfDdv3iQAtGTJkixlzqzQpZSdE7yDBw8SADp48KDG9PPnzxMA2rRpU4bPj4qKIgA0evToTNfl4uJCXbt2TTW9XLly1LRpU+n35cuXEwC6ffu2xnxbt24lABrfqkVERFBQUBBFRERI027fvk0AaPny5RrPf/XqFQGgmTNnStO6du1KhQsXTlXABw0aRLa2thQfHy9NCw4OpqCgIEpMTMxWVm23nzGWfVzzPuKap73Ro0cTAKnBNCOf7tf01K5dm2rXrp1qeosWLah06dLS71mpw7GxsRQUFKTRMJuV4zp27FiSy+UaJ4FERLNnzyYA9Pz5c2namzdvKCgoiGJjY7OVVdvtZ4zlDNe9j3J73VPLyvnXpzJq1EwP1z2ue8bGY2rmYcHBwahTpw7++OMPdO/eHUuWLEGfPn1w6tQpxMXFZWlZv/76K9zd3VG+fHls2rQJmzZtwqRJkwCoBoSuX78+jh49iv/973+YNWsW4uPj0b59e+zZswcA0KhRI2zatAkA0Lx5c2kZnTt3xqJFiwAAPXv2xKZNm6QBpZOSkvD27Vut/imVygzzx8TEICYmBoUKFZKmBQYGIjk5OdWYLpaWlqhWrRquXbuW4TKJCK9fv9ZYZnpCQ0MBQKt5DUm9jZ/ug5o1a8LMzCzTfaDtdr169QphYWFpjp9Tp04djfVcu3YNdnZ28PLySjVfyswAsGfPHnh5eUmvs4y2yc3NDe7u7qnWVaNGDZiZab5V1qlTB3FxcRrj6Pj6+sLLywuvXr3KctasbD9jLHu45n3ENS9rQkNDYWtrC1tb2wznS2u/pkWpVOLmzZvpvuc/evQI0dHRALJWhwMCAuDl5YVly5ZJ07JyXK9du4Zy5crBwcEhVSYAuH79ujRt2bJl8PLyQkBAgMbztcmale1njGUf172P8lLdM+S6uO5x3ROBubEDMOPx9fVFaGgoLl68qPEHNmPGDBBRlpbVsWNHTJ48GYUKFULv3r01Hps7dy5ev36NM2fO4LPPPgMADBw4EFWqVMHo0aPRoUMHlCpVCqVKlUKfPn1Qrlw5jWU4ODhg1KhRqFGjhsb0c+fOoUmTJlrle/LkCUqUKJHu47/++isSExPRvXt3aZp60OMiRYqkmr9IkSI4c+ZMhuvcsmULXr16hRkzZmSa7+eff4aDgwNat26d6byGFBISArlcDhcXF43plpaWKFiwIIKDgzN8/rx58yCXy/HVV19luh4g/X0dHh6OhIQEWFlZISQkRBo0+9P5AGSaKbN1pXx+SEgIGjVqlOZ86nVVrlw5w3VpkzUr288Yyx6ueR9xzdPew4cPsXv3bnTt2hVyuTzDedPar2lRv6ent68BVX3w9PTMcR3OynENCQnJNFNm69Ima1a2nzGWfVz3PspLdU/b8y9d4LrHdU8E3KiZRymVSuzduxft2rVL8xuDTxthcuLQoUOoU6eOVOQAwN7eHoMGDYKvry/u3LmDSpUqZXm5VatW1frOZK6uruk+dvr0aUyfPh3dunXDF198IU3/8OEDAKTZkGRtbS09npa7d+9i2LBh8Pb2Rt++fTPMNnv2bBw/fhwrVqyAo6NjJltiWB8+fIClpWWaj2W2D7Zu3Yq1a9di3LhxKFu2bKbrAdLf1+p5rKyspJ8Zzaf2zTffpLqDX2brioqK0phX23Vt2LAh1R0htX1+VrafMZZ1XPM+4pqnvbi4OHTt2hU2NjaYO3duhvOmt1/Tou17vvqntnW4cePGqRoqsnJcs1Lzpk2blupuvNpmzcr2M8ayh+veR3mp7mXl/CunuO5x3RMFN2rmUW/evEFUVFS2CkxWPXv2DHXr1k01XX1J7rNnz7KVo0CBAmjWrFmOst29exedOnVCpUqVsGbNGo3HbGxsAAAJCQmpnhcfHy89/qnQ0FC0bdsW+fPnx65duzLs2bF9+3ZMnjwZ/fv3x9ChQ1MtJ6X8+fOnu86cevPmDRQKhfS7vb097O3tYWNjg8TExDSfk9E+OHPmDPr374+WLVti1qxZma4/s32dch4bGxut5svuulI+Xxfr0nabMsqkzboYY+njmqfCNU8lvZqXkkKhQI8ePXDnzh0cPnwYbm5u6S4vo/2alqzWvOzUYW3Xpeuap01WrnmM6R/XPZW8VPcyOv/Spu5lBde9j8/numd83KjJMpTet3gp3xSNJTExEeHh4VrN6+zsnKrgvHjxAi1atED+/Plx6NAh5MuXT+NxdVdwdRf2lEJCQtI8wYmMjETr1q0RERGBM2fOZHgS5O/vDx8fH7Rt2xYrV65M9fin3dPXr1+fqtehrtSuXRvPnj2Tfp86dSqmTZuGIkWKQKFQICwsTKNbfWJiIt69e5fm9t24cQPt27dHpUqVsGvXLpibZ/42k9m+dnJykr7ZKlKkCE6cOAEi0nh9qp+b0T7/dF0eHh6p1qUeQ0U9b3qZtF2XNlmzsv2MMf3hmpe3a15KAwcOxIEDB7Bly5YMe6Bktl/Ton5P16a+ZKcOp5SV41qkSBGNcaHTy5TRurTJmpXtZ4zpF9e93FH3Mjv/0qbuaYvrnua6uO4ZHzdq5lHOzs5wcHDArVu3MpyvQIECAICIiAiN7vIp3xTV0iuKxYsXx71791JNv3v3rvR4dpw/fz7b46y8e/cOLVq0QEJCAv7+++80x7eoVKkSzM3NcfnyZXTr1k2anpiYiOvXr2tMA1TfsrRr1w7379/H8ePHUaFChXTzXLx4EZ06dUKtWrWwY8eONBv+Pr3comLFilpta3Zs2bJFo8t7qVKlAADVqlUDAFy+fBlt2rSRHr98+TKUSqX0uNqjR4/QqlUruLi44NChQ1p/A1i0aFE4Ozvj8uXLqR4LCAjQWE+1atWwZs0aBAUFaezjixcvamROT8ptStmAGRwcjJcvX2LQoEEa8545cwZKpVLjZkEXL16Era0typUrl+m6tMmale1njGUd1zyueSmlV/PUxo4di/Xr1+PXX39Fz549012ONvs1LWZmZqhcuXKa7/kXL15EqVKlpJPErNbhT2XluFarVg0nTpxAVFSUxk0TslNfM8qale1njGUP1728U/e0Of/KrO5pi+ueJq57gjDWbdeZ8fn4+JCZmRldunQp1WNKpZKIiA4cOEAA6K+//pIei4mJoWLFihEAevLkiTS9bt26VLVq1VTL+v777wkAnT9/XmMZpUqVohIlSpBCoZCmA6Bhw4ZpPP/JkycEgObPn68xPTw8nPz9/bX69+HDB41116lTh/Lly0eXL1/OcB+1atWKihQpQlFRUdK0NWvWEAA6fPiwNC05OZnat29P5ubmdPDgwQyXeefOHSpYsCBVrFiRwsPDM5w3M2/evCEANHXq1EznnT9/fqpjlpm4uDhycnKiL7/8UmN67969ydbWlt69eydNCwkJoVKlSpGbm1uW1qE2ZMgQsrGxoefPn0vTjh8/TgDIz89PmvbixQuysLDQeJ0olUpq2LAhFS1alJKTk6XpERERFBQURBERERrrKl++PFWtWlVj3smTJ5NMJqM7d+5I0/744w8CQDt37pSmvXnzhhwdHal79+4aywwODqagoCBKTEzMVlZtt58xlj1c87jmaePnn38mADRx4sQM58vKfk3L3LlzCYDG6/Hu3bskl8tp/Pjx0rSs1OHY2FgKCgqiN2/eaMyr7XH9999/U7324uPjqUyZMlS3bl2NZb5584aCgoIoNjY2W1m13X7GWPZx3cv9dS+n51+fsrOzo759+6b5GNc9rnuikhFl8dZnLNd49eoVatWqhaioKAwaNAheXl4ICQnBzp07cfbsWTg6OiIpKQllypRBXFwcxo4dC7lcjnXr1sHGxgZXrlzR+FZs2LBh8PPzw4wZM1CmTBm4uLjgiy++wOvXr1G1alXEx8dj5MiRcHJywsaNG3Hjxg38+eef6NSpk5RJJpNh2LBhWLZsmTTt6dOnKFmyJObPn48xY8bkeLs7duyIv/76C/369Uv17Z+9vT06duwo/X716lXUr18fFSpUwKBBg/Dy5Uv88ssvaNSoEY4ePSrN9/3332Px4sVo165dqm/1AEh38ouOjkbFihXx6tUrzJ49G0WLFtWYr3Tp0vD29s50GzZt2oRnz54hLi4Oc+bMQZMmTaTL4/r06SN9IxoZGYmlS5cCUN1B8MiRI/jhhx/g6OgIR0dHDB8+PNN1rVixAsOGDcNXX32Fli1b4syZM/j9998xa9YsTJw4UZqvWrVquHHjBsaNG5fqjuCFCxdG8+bNM1zPixcvUL16dTg6OuK7775DTEwM5s+fD3d3d1y6dEnj8utx48Zh/vz5GDRoEGrXro29e/fi4MGD2LJlC77++mtpvg0bNuDbb79NdTnHgQMH0L59ezRp0gQ9evTArVu3sGzZMvTv3x+rV6+W5lMoFPjss89w69YtjB07FoUKFcKKFSvw/PlzXLp0SeMOdd988w02btyY6ptibbNmZfsZY1nHNY9rXmY1b8+ePejcuTPKli2LH3/8MdXjzZs3R+HChQFkbb+mJTo6GtWrV0d0dDTGjBkDCwsLLFy4EAqFAtevX4ezs7M0r7Z1+OTJk2jSpEmqywq1Pa4A0K1bN+zZswejRo1CmTJlsHHjRgQEBODvv/9Go0aNpPmmTZuG6dOn48SJE2jcuHGWs2Zl+xlj2cN1L/fXvZyefwHA/v37cePGDQDAzJkzUbFiRXTu3BkA0L59e1SpUgUA1z2uewIzdqsqM65nz56Rj48POTs7k5WVFZUqVYqGDRtGCQkJ0jxXrlyhunXrkqWlJRUrVowWLlxI69evT/XtXWhoKLVt25by5ctHAOjzzz+XHnv06BF99dVX5OjoSNbW1lSnTh06cOBAqjzIwrd32VW8eHECkOa/4sWLp5r/zJkzVL9+fbK2tiZnZ2caNmyYxrc+RESff/55ustM+Wem3pb0/qX3zdinMlrfiRMntFpfWtuantWrV5OnpydZWlpS6dKladGiRdI3vGoZbVfK10JGbt26RS1atCBbW1tydHSkXr16UWhoaKr5FAoFzZ49m4oXL06WlpZUsWJF2rx5c6r51K/T9evXp3psz549VK1aNbKysiJ3d3eaPHmyRi9LtfDwcOrfvz8VLFiQbG1t6fPPP0/zG+++ffum2StI26xZ2X7GWPZwzeOal5GpU6dmmDflurK6X9Py4sUL+uqrr8jBwYHs7e3pyy+/pAcPHqQ5rzZ1+MSJE+n26NHmuBIRffjwgcaMGUOurq5kZWVFtWvXpiNHjqS7r1Luk6xkzer2M8ayh+te7q57ujj/Up/DpPUv5TkU1z2ue6LinpqMMcYYY4wxxhhjjDGTYpb5LIwxxhhjjDHGGGOMMSYObtRkjDHGGGOMMcYYY4yZFG7UZIwxxhhjjDHGGGOMmRRu1GSMMcYYY4wxxhhjjJkUbtRkjDHGGGOMMcYYY4yZFHNjBzAUpVKJ4OBg5MuXDzKZzNhxGGOMZQMRITo6Gm5ubjAz4+/lMsJ1jzHGTB/XPe1wzWOMMdOXnZqXZxo1g4OD4eHhYewYjDHGdODFixdwd3c3dgyhcd1jjLHcg+texrjmMcZY7pGVmpdnGjXz5csHQLVzHBwcsrWMpKQkHDt2DC1atICFhYUu45l8HpGyiJZHpCyi5REpi2h5RMoiUp6oqCh4eHhI7+ksfbmt7omURbQ8ImURLY9IWUTLI1IW0fKIlIXrnnZyW81LC+fLPpGzAZwvJ0TOBnC+rMpOzcszjZrqyxAcHBxyVOhsbW3h4OAgxAEXKY9IWUTLI1IW0fKIlEW0PCJlETEPX1qWudxW90TKIloekbKIlkekLKLlESmLaHlEyqLGdS9jua3mpYXzZZ/I2QDOlxMiZwM4X3ZlpebxwCyMMcYMQklKXA6+DCUpjR2FMcYYY4wxxpiOGOtcL8/01MyMUqlEYmJihvMkJSXB3Nwc8fHxUCgUBkpmGnlEypLTPJaWljwQO2N6cOD+AUw4PgFzm81Fe8/2xo6T5ykUCiQlJWU4j0jv7SJlES1PTrJYWFhALpfrKRljjInBFM/1PsX5sk+dLSEhAXK5nM/1skjdSMUdE7JO9H2ny3zGOtfjRk0AiYmJePLkCZTKjA8kEcHV1RUvXrwQ4hIQkfKIlCWneczMzFCyZElYWlrqKR1jeU+yMhnLApbhRdQLLL+0HG3KtoG5GZcgYyAihIaGIiIiQqt5RXlvFymLaHlymsXR0RGurq5G3w7GGNMHUz3X+xTnyz51tufPn0Mul/O5XhYdeXhE+tmhQgcjpzEtut53SlLiashV1ChSA2aynDfO6yqfMc/18vwZJREhJCQEcrkcHh4eGX5ro1QqERMTA3t7eyG+3REpj0hZcpJHqVQiODgYISEhKFasmHAFmTFjyem3eIceHMLtN7fhaueKW2G3cOjBoVzbW/P06dOYP38+rly5gpCQEOzZswcdO3aUHn/9+jXGjx+PY8eOISIiAo0aNcLSpUtRtmxZaZ7GjRvj1KlTGssdPHgwVq5cmeN86gZNFxcX2NraZvg+J9J7u0hZRMuT3SxEhLi4OISFhQEAihQpoq+IjDFmFKZ8rvcpzpd96my2trYIDQ3N9ed6umz4SlYmY/WV1RjkMAi/Xf0Nbcu35Y4JWtLHvtNlb0hd5jPmuV6efzUmJycjLi4Obm5usLW1zXBe9WUL1tbWQrxRi5RHpCw5zePs7Izg4GAkJycLNVgu0z9ddL/X9bdnosjJt3jqb+6ICPmt8yM2OjZX99aMjY1F1apV0a9fP3Tu3FnjMSJCx44dYWFhgb/++gsODg5YuHAhmjVrhjt37sDOzk6ad+DAgZgxY4b0e2Y1ShsKhUJq0CxYsGCm84v03i5SFtHy5CSLjY0NACAsLAwuLi58KTpjLFcx5XO9T3G+7FNns7W1zRPnerps+Dr04BDuvr0LOABBb4JydccEXdP1vtN1b0hd5TP2uV7uO5vMIvV4H9z9nKmpXwsKhSLXFjqWNl10v8+N40bm9Fs89Td3TjZOAAAnG6dc3VuzdevWaN26dZqPPXjwAP/++y9u3bqFihUrAgD8/Pzg6uqKbdu2YcCAAdK8tra2cHV11Xq9CQkJSEhIkH6PiooCoBpHSj12ZkJCAogI1tbWmV6GB6gaYdU/tZlfn0TKos6h/mnsPDnNYm1tDSLChw8fYGVlleM86tdbZmO2GoJIWQCx8oiUBRArj4hZWPbwuR77lIjneroc11CXDV8pG6sA1eeM3NwxQZf0se902RtSl/mMfa6n91finDlzsHv3bty9exc2NjaoX78+5s2bB09PTwBAeHg4pk6dimPHjuH58+dwdnZGx44dMXPmTOTPn19azvPnzzF06FCcOHEC9vb26Nu3L+bMmQNzc91sQm7tes6yjl8LeZMuut/n1nEjs/0tXmIikp88woW109HrcQwqRivwxxcueFPAOs9+KFI3OlpbW0vTzMzMYGVlhbNnz2o0am7ZsgWbN2+Gq6sr2rVrhylTpmTYy2TOnDmYPn16qunHjh2Tnmdubg5XV1fExsZm6UQ5Ojpa63n1TaQsgFh5spslMTERHz58wKlTp5CcnKyzPP7+/uk+plAoEBsbi5iYGMTExCA6OlrjZ0xMDMzMzNCtWzfY29vrNYsxiJRHpCyAWHlEyBIXF2fsCJnKbNiV9D5b//zzzxg7diwA1TnhiBEjsH//fpiZmaFLly5YvHixTv7+M8rA8h4RXwu6HHdRlw1f0rJsVF+yF7ApYLyOCQoFkJio+qlUfvyZkACr9++B2FjA0VE174cPQHDwx3lSzq9UAkWKAOqOAzExwLVr6c9bpgzwX9sVoqKAw4fTn7dSJcDbGwBw9Nou1N91EW3k+VDi/mF0VQCPH17BGYcVaFLrK6BQISALX7boujdkhse27JeqfRgb+/GfrS1QqtTHY/H770BsLBSxMYj89zdMeR+JQpSI/fUL4XZJO4Oe6+n9TPLUqVMYNmwYateujeTkZEycOBEtWrSQLrMLDg5GcHAwFixYgAoVKuDZs2cYMmQIgoODsWvXLgCqD75t27aFq6srzp8/j5CQEPj4+MDCwgKzZ8/W9yYwxgSni0u+ddH9PjeOG5nht3gwA0JDgaQkoHhx1ROiooB27YAnT4CXL2FOhDnS0qIQ4OWANwUsc31vzfSUL18exYoVg6+vL1atWgU7OzssWrQIL1++REhIiDTf119/jeLFi8PNzQ03b97E+PHjce/ePezevTvdZfv6+mL06NHS71FRUfDw8ECLFi3g4OAAAIiPj8eLFy9gb2+v0bCaHiJCdHQ08uXLZ/STAJGyiJYnp1ni4+NhY2ODfPny4cGDBznOk5iYiMuXL8PZ2RmRkZEIDw/H+/fvNX5qc6MqQDXO59KlS7OdJSkpCf7+/mjevLkQPXJEyiNSFtHyiJRF3eteZBkNuwJAo74BwOHDh9G/f3906dJFmtarVy+EhITA398fSUlJ+PbbbzFo0CBs3bpV7/kZyypRx6zMVsOXQgG8ewe8fQu8eSP9TG7XVlpWkztxqL/yR6xOeIqEpHg4rOoLKuQFmZJUz1+wAGjUSLW8ffuACRPSbvRTKIBlywD1lx779wN9+qQ/72+/Af37q+b19wfSuBLKAkArAIr374FRo1QTL1/+mCctc+aoMgLA/fsZzztpEvDTT6r/BwcDPXqkP++oUYC3N5KVydhydgW27osCEAVgFaqq5/H7DsB3wDffAOvXq6Z9+AB06QIULKhq7FT/U/9eogQOJdzU6A1Z0KoAHr+4ib8vbEVL1wYfGx8LFgTKlVMtNy4OWLVKs3EyNhbKmBi43PsHQ9wTcLiD6hzOMdkcx34MhZ1vJyAxjR7DXbsCO3ao/i+TAf36AQDkAPpIM8XiVkk73C5pZ9BzPb03ah45ckTj9w0bNsDFxQVXrlxBo0aNUKlSJfz555/S46VLl8asWbPQu3dvJCcnw9zcHMeOHcOdO3dw/PhxFC5cGNWqVcPMmTMxfvx4TJs2Lc3LCbS5DE/9u/pyLW3uiKf+qe9LzaKjo1G0aFF069YNa9asyTTPP//8g/j4eLRq1SpH63369Clq1KiB8PDwNB+/ceMGJk2ahAMHDqSbRalU4sCBA9i/fz9WrVqVozzZlZNjpVQqQURISkrSydhiIl3CBIiVJzExUeNndh16cAjTTk7DtMbT0KZsmyw/P1mZjFUBq2AJ1XuJJSyx+tJqNC/RXOsPFeplWMEKzjbOCI0OzfIyUtLpcVIqgeRkgAhIeWnp8+eqBsnkZOmnLDkZSE4G2dsDlSrh0INDePT2Ebrds0DpwL2Y/zgOhcLO4MOPJWAf/BayhAQoO3eG4o8/VMu0soL5xYuQ/ff+G28pxzMnM7xxsUdIIStE5beBpcwSlhaWiIuPy/I+EuF1mxMWFhbYvXs3+vfvDycnJ8jlcjRr1gytW7eW3rcAYNCgQdL/K1eujCJFiqBp06Z49OgRSpcuneayrays0rx02MLCQjopVygUkMlkMDMz02q8K/X7p/o5+hQdHY0iRYqge/fuWLt2baZZTp48qbO6V61atXQb2W7cuIGJEyfi4MGDGeY5cOAA9u3bh9WrV+coT3bk9DiZmZlBoVCgb9++ePr0qY7TZczBwQFOTk6p/snlcixfvhxr1qzB999/j/Lly+doPSn/DkQgUh6RsgBi5REhi7HXr42Mhl0BkGoolb/++gtNmjRBqf96/QQFBeHIkSO4dOkSatWqBQBYunQp2rRpgwULFsDNzU1/4Y0ks5r3qZMnTyIuLg7169fP0XqzW/M+ZcyaJwJRx6w89OAQHgXfQqVEe7i+i0WtSAtYXQnA3VuDUUnmAgweDJQooZr5t99UDXvv36vOET5xyWIabkeqGtGcIz7A+eZdOEuPJgL3L3ycOWXbQVQUEBSUfsjY2I//VyiAyMj05015Hp/B5xuSyTS3wcICyJdP9Ry5XPUz5f9TjGEPGxtVT8z05i1a9OO89vZAkyap51H//G9oqUMPDuF69AMcqJ0f5mYWqIrSeP3uDvLFJCJ/TBIKxgGyQoU+LvftW1UP0PR2Q18fLGsaAiKCR7QZ9ky5Cusk9fb21Zx54EBA/XeZmAik6PAg7UoA9QC8N3eAeq2JFmYoGJtGu4mNjWp/pdxnZmZAp05QyuU4HnoOwcpImNnnQ7ylGR64q64OszY33JV5Br/mL/K/F62Tk1OG8zg4OEiXll+4cAGVK1dG4cKFpXlatmyJoUOH4vbt26hevXqqZWhzGR7w8VK8mJgYJCQkaHWJR2zKP8QsyuxOs2q///47qlatit27d2PGjBkZXnoRHR2NY8eOITIyMseFLiYmBkSU7rfC48aNw6hRo9J9XH3pW6NGjfDjjz/i2rVr6Z6AG0J2LsVTX4Z3+vRpg12GZwwi5Tl+/HiOlzGt6DTggaqIZMcgh0GAqjMb5paaCwA4duRY6hmJYJaUBHlCAsjcHMn/3WRD/uEDJj2qDfP4ypC/TIQsORmyx0rcPzsKZgoFIkuUwLtKlQAA5rGxKLtnD2QKBWQKBcySkyFTKlU/FQq8q1gRz5s1AwCc+Osv1Jo/H2afzCtLToaZQoHXNWviTl9VMTNLTESLgQOlx2QKhernfx8IguvVwyX1t5IA2nfuLD32qbBq1XBh2jQAwMJSC9FmUk9YfNiAStIcr1S7w8wMYc+f4+Khj/u98A8/IDF/fsQVLoyE/PlV3+YBsATwVcqVuCD9/ZwOU7gMLzM1a9bE9evXERkZicTERDg7O6Nu3brSiVxa6tatCwB4+PChTt9T1Xe/To9SqURsbCzkcnm2GzW1rXvbt29HzZo1sXv3bq0uOTx58iQiIiJy3KiZGV9fX/j6+mY635dffompU6fiwYMHGneyNxXq8VYLFiwovd5yIiYmBpUqVUKhQoXSbLR0cnKCo6Njhg02z58/x/79+zFhwgTs3bs3x5kYY8b3+vVrHDx4EBs3bpSmXbhwAY6Ojhp1sFmzZjAzM8PFixfRqVOnVMvJTgcWhUKRYc0jIsTGxsLMzCxHPfC1qXvbtm2Tat6iRYsyrXknTpxAREQE6tevn6MONurnqX9+SP4AG3Mb6fEJEyZgwoQJmS6/TZs2mDp1Ku7duyfVPJHGmv5UVHyU9NMSljnqwKLuyPA25m2OOjCkXFamHSuSkoCwMOD1a8hCQ4GwMNXP16+hHDkSKFkSycpkvJ4+Ho+2haSxpnWq9TVsCPqvkU4GwDxFYyQVKAAUKgQqVAhUqCB2vjgGKwcrOFg44KaXHa6M6oCDMUeQKEtGeEIkijp6YEzD8ZDLLUA1a6oyAsDnn0N27FjqBj+5HGRmprq6Sz1vo0bArVtpNyaamQH583+ct2FDVePpJ/MkKRTwP35c1bNePW/NmqrepxlRz1umDBAYqN28hQsDR49mOGtywgesCliFeFsbzB5YEpYyS4xyHoVFbxYhkRIRGh2KioW8sKPjJJirl2trC9maNZC9fQu8fQtZeLiqofPdO8jevsU9+yQ8evsIRWyLQJlglqJB87912lhDns8BsLOD0sEBSvVyLS0h794dsLMD2dkBtrZQ2tpg7YMdeJoYhqhihWEpU7325OZW6DWtKl4kvoOHW3ms6bkN5nb5NBuTU3Yu2b4dhx4cwuijV+FoXQRW5h87Vqi7HBaxLYKHbx7i4N2DWnc8yk4HFoM2aiqVSnz//fdo0KABKlWqlOY8b9++xcyZMzV6qYSGhmo0aAKQfg8NDU1zOdpchgdoXoqnUCjg7u6e7e3TRlRUlMbdbdOzbds2TJo0CatXr5Yu0QBUDb5jxozBxYsXIZfLUblyZYwaNQobNmyAQqHAhQsX0KlTJ/Tp00ejx2VMTAzy588vDZbdu3dv3L9/H4mJiXB3d8eaNWvg6uoKe3t7yGQyjX2k9vz5c9y/f186gRwxYgTc3Nzg6+sLIsLVq1fRuXNnPHr0CObm5ujRowe2b9+OuXPn6mr3aS0nl+KpL8Nr1KiRVpdnZkakS5hEypOsTEbPHT3xrcO32BC9AVu7bs32eCCjj46GjbkNPiR/wMKWC7V70yRSfRB49BBLto+C/OkzeMZYo1Cjfhhf8hyeRz1Hi+RiWPH7W8ji4lTd92Njgbg4qSFQ4esL5fTpSFYm47vFrbB6+ul0V6cYPhzKceNUvwQHw6JXr3TndS9RAp7Nm8Pf3x9NGjeG7ddfpzuvfb16KNHmv+1NToZFBt92uhYsiDZtUuwbOzuQUqn6NtPcXPXzv/8XqlwZKAuMPjoajtaOcCljAw/HWjiR7xmeFgDu50uCT8epaNywDwpaWEBjj7dpg2RlMr7a8RWCHgfBNV/6N7sJjQ5FBZcK2Nl1p1bH3xQuw9OWetzoBw8e4PLly5g5c2a6816/fh2A6lJcXYqLi9PZeGXpiYmJ0arurV27FlOmTMGqVauwfft2jbr3ww8/4N9//wUA1K5dG9999x1WrlwJhUKBkydPonPnzvDx8dHofRITE4N8+fJJJ1m9evXCvXv3kJiYCA8PD6xduzbTGzE9f/4ct2/fRsOGDQEAw4cPh5ubGyZOnAhAdew6d+6MJ0+ewNzcXLq6Yt68ednaV8ak/hDZoUMHrXoNZbasQ4cOoU2bNjmqM/PmzcOhQ4fw119/4cyZM9JxYIyZro0bNyJfvnwal6mHhobCxcVFYz5zc3M4OTmle66XnQ4s79+/1/u5HgC8fPky07q3Zs0ajBkzBhs2bMDGjRvRp4/qAs7IyEhMmTIFly5dglwuR7Vq1TB48GCp5v3zzz9o164devTogYYNG+LZs2cAVDXPw8MD79+/BwAMHDgQDx8+RGJiIooWLYqlS5eicOHCaXZgSYLq/f/Fixe4desWqlatiqioKIwdOxaurq744YcfAKhqXseOHXHjxg2Ym5ujXbt2WLFiRarjINJY06kkAjGJMTnuwDLIYZCqQwSy9uW8BiJYREfjh/ctYR0ZDusTJ7DrfR1YRUTgbNwmxP3X3lFq/35UzqAuXyxUCG/+6+RVs1BzAHehMDdHYv78SHBwQOJ//xLy58ezhw8R/V+9t7C2hvWSJUhwcEBSvnygTxp4P//vHwDABXgJoOrHKQAA6Zrcq1e13+6QtBpdc06kDjspO8uojXL+79J4daeOE6c0Z1Bfcp6Oheiu+o9SCf9Vb5BsZQWFtTUUlpape7Gm6GyCnj1TLatI1WpQn1G0TJnvY1dcHDtzLt0sGrlKLcx8pix0PMpOBxaDNmoOGzYMt27dwtmzZ9N8PCoqCm3btkWFChUw7b8eQtmlzWV4gOaleJRGt2td0+aSvzt37uDFixdo3bo1lEol5s6di4EDBwIARo8eDRsbG9y8eRMA8PjxY5QqVQpDhgxBREQEfv31VwCQLh9Tr+vTn4sXL4azs+pVO3fuXMyYMQMrV65MNV9KZ86cQe3ataXHRo4ciZYtW2LChAmQyWRYu3YtBg4cKA0HUL9+fYwePVrvlyymJSeX4qm/ndX1JUciXMKUUk7y6GIcmcP3DiPwbSDgANx8cxP+T/2zfKlFsjIZy68sxwflBxSwKoDwxHCsuLri41g0cXGqsR0dHAAPD9WTbt4Evv4aePxYNX4JgLEplnm36CMklkiErbUtgp7dgdntN+muX56YCLmFBQ7fO4yAuHsIcrdGgpUcCRZmSDaXIVFGiEMSqrnXRNGaNSFX728nJ2DkyDQbE2FhAbMqVaRjY5E/P7BxY5rzwcICZq6uMFMv19xc9U2jer5P57W0/DgvoLo8JB0KZTKWb2mj2rfyAvhhhCfGu/wAv7B5SKREBEcHI+zNbjSx7p9mY+The4dx/c11FLAugERKf3gBW2tbXAu7pvXxF+lvKD0xMTF4+PCh9PuTJ09w/fp1ODk5oVixYti5cyecnZ1RrFgxBAYG4rvvvkPHjh3RokULAMCjR4+wdetWtGnTBgULFsTNmzcxatQoNGrUCFWqVDHWZumVuu61bNkSycnJmDt3rtSo+f3338PGxgbXr1+XrqooXLhwunUvPb/++qtG3Zs2bRpWrlyZ4XNOnTqF2rVrS7+PGDECLVu2xPjx4zXqnvrKEm9vb40vVE2JulGzQoUKRk7ykZeXFwYMGIBVq1ZhzJgx+Pfff40+filjLGfWrVuHXr165bjjQHY7sBiCg4MD7OzsEJUQheDoYLjlc4OD1cdMd+7cQXBwMDp16gRLS0v8/PPPGDZsGABVzbOzs0NgYCDMzMzw5s0bODs7Y8iQIQh7G4Y5s+YAlkB4aLhGRxT1+Y7692XLlkk1b968eVi4cCH8/Pw0OrA8ev8IsYmxsLO0Q+kCpXH16lXUqVNHWsbo0aPRunVr/Pjjj5DL5di0aRMGDx4sXXHZuHFjjBkzRppfpLGmU4pKiMLLqJdwt3LHy4SXcLFyyXYHFulL+zeqL+3T/HKeSNWjMDhY1ZsyJASykBAov/5aOh8xW7kSZmPGQJbOEFybyoVgQt9TMDczV/XeW7tW1ehYuDBQuDAoxc/anTsj2bMsvtrxFZ4WuY2iv9ZGjI1culIKAEKjX6KCiwN2dh2YaSeCT7cRQKrehqplZq1jgr6I0mEH0M++U3fgcbR2/NgbUgYgUfUvITkBEfERWnXs0WW+NHOlISv5gOx1YDHYq2/48OE4cOAATp8+neY3ZNHR0WjVqhXy5cuHPXv2aLwgXV1dERAQoDH/69evpcd0xdbWFjExMek+rlQqERUVBQcHhxxdhpeZtWvXwsfHB3K5HG3atMHgwYMRFBQELy8vHDhwABcvXoSZmRmUSiUKZdCan5GtW7di06ZNiI+PR3x8vFbLefnypUaPWU9PT1SoUAF//fUXmjdvjj///FNqbAVUx+bly5fZysfEltNxZDK8+UwWiqL6xjzFKT9aXHgH19fJcAk7g6iFleEUEqG6iQ0ATJ4MqHvBOTgAt2+r1mtmhtdOlniYX4l3rvnwuqAtvKpUAfAc1ubWeOkox/gJNTHry0Uwz5dfdde3/7ruw9YWsLCQtiUsnxn6TKmYKmNwdDAqF7bDwa97f3zDzZcPWLw4441Td723sAB8fLTbITKZ6q57OqDet+rBqD+V0eDPKY+vtXnGHxYNOd6KoVy+fBlNmjSRflefdPXt2xcbNmxASEgIRo8ejdevX6NIkSLw8fHBlClTpPktLS1x/Phx/Prrr4iNjYWHhwe6dOmCyZMn6zyrqdU9ANJJWlZx3cuYiI2aADBt2jRs3rwZAQEB2LFjB7p3727sSIyxbDpz5gzu3buH7du3a0x3dXVFWFiYxrTk5GSEh4ene66XnQ4sNjY26dY8IsKj8EcoJC+Et4q3KO1UOtsNc+q6FxYXhnhFPMLiwpDfOr+0vPXr10s3vf3yyy8xdOhQ3Lt3D15eXjh48CAuXrwofVmWsgZ9UKi+jH/z4Q3MZarH0+vA8scff6SqeSk710QlRiEuKQ5yMznikuIQlRiF4OBguLq6SvN4eXmhQoUK2L9/P1q2bIk//vhDamwFADc3N7x8+VL63ZDjcGuLiBAWF6ZxzvHug+qy5Cx18EhOBiIicPryTphdDkDLJFsUjgvGSU+rj1/OX4pSnXOEhKjGMvyEvGbNj3ePzp9fmue9nRzh+S2Rz7kcrti8Qog94Qyeoqb6C//u3YEOHSBzcpJ65KV8ZcoBHL63T9WZIH8BhJsrASiBFP21stKJIKOOCYmUKE3LascEfROhA5Gu951GBx552h1FZHIZPig/aHbs0XM+bXJlJx+QvQ4sej97JCKMGDECe/bswcmTJ1GyZMlU80RFRaFly5awsrLCvn37Un1j4u3tjVmzZiEsLEy6NMHf3x8ODg46/fAtk8kyvFRAPRaLnZ2d3t6ok5KSsGnTJlhYWEh3+4uLi8PatWuxYMECrZdjbm6u8W1kfHy89P+zZ89iyZIluHDhAlxcXLBv3z78+OOPmS7T1tZWYzkA8N1332HevHl4/fo1GjdurFF41Zdx53VKUmr8NHXqBqsXUS+y3RAl3SXcRvVBtYBNgdQNZFFRqrvnvX6t+e+/8WSU3/TFsvKXQURwTjTH9A1PU6zh7sf/5s+v+iCi5u6uGgulVCkc+HADQ/xHooB1AVibW8NSZonxLhWBMNWNsGzyF8RmqxA0KPQe7T3TvuwxJ41/otKmUTKjxsiAVwF4/P4xFKTAi6gXWq3zUfgjBLwKQH2PnI0LLILGjRtn2PN/5MiRGDlyZLqPe3h44NSpU+k+rktc9zKWV+qeUqkUtlHT1dUV48aNw9SpU+Hr64uOHTum2ZDBGBPf2rVrUbNmTVStWlVjure3NyIiInDlyhXUrFkTAPDPP/9AqVTqZIxftYxqXkR8BMyszGBnZYfwhHAkmyfD0dox2+uKiI/Ah6QPsDCzwIekD4hMiISjtWO2a16CIgHJStXn2fjkeJgpzHJU88JiVY3IcjM5lAolwmLDYGNjk27Ne/PmDZo3b25yNS8yIVI6DoBqe5PiE6CIT1RdMv3unapX5f/Zu++wps42juPfJGwUFBeiuK2r7r2tIm5r0ap176rgnrjqLHVb9yzUurXuja2zbtRq3XuvV1QUGQHy/hGJoqDsc8D7c125KskZvwSaJ+fOM/z93/27b993q0f/9ptxoZW30zvVenuL1McjH1dyGT8PN4hohe7tdACAcRXqrFnBycl4e+9L2bBGDegwrQqHQq+RMX22t9cgQ5j43ogo02fsNGmMC9TEIKGf2+N6rLge80uRFK/d564zI8XmejMx86ntWi/J//Lc3d1ZsWIFmzZtIm3atKZ5Uezt7bG2tiYgIABXV1fevHnDsmXLCAgIMHU5zZQpEzqdDldXVwoXLkzbtm2ZNGkSjx49YsSIEbi7u6e6D7abN28mT548prnDwLgiYI0aNfDy8qJx48ZMmTKF2bNnA8Y5SO3s7LCzszPNqQLGiwCDwcCFCxcoXLgwS5cuNT32/Plz0qZNS4YMGQgNDY31CuXFihVj7dq1Ue5zdXWlX79+/Pzzzx/NwXXx4sWPPrR8iXZe22n677eFv1U4TcKZCpK2jnEv1oWGEnbuX856j6DX9QCKvtRT7vVI1j67ht3LEP7a24ewTW/fOF+8gLfzC0Xn3sVjnM9wCQdrBx7bWHCksB0PMlpwO72Wy/Z6WjUeQfWaHSF9+qg7mpmBqythEWHMWt4zQR8AEvNDhJoktAEt4ViCaXWmoQ+P/UTP5jpzSjiWiG9kkYLFtt2bOXMmAE+fPiVLlizS7iWi0Le9RWxsbHCOnKpDRQYMGMD8+fO5efMmc+fOpV+/fkpHEkK853PTroCxE8vatWuZOnXqR/sXKlSIunXr0rVrV+bPn49er8fDw4OWLVsmy8rnBoPBWOSL/D7SYCz62Vvax6u3pul4RC0a2lvax+laL3L4ecaMGdFYangd8NqUT5NWE+82z4CBIH0QZhodWgNYoCM0JIi8BfOwbt0640Z6PYSH41q1Kv369mX8uHGsWboUXr82Dq+2tX3X5gUFQXAwGoMB88BANJGdCSK/4E2f3vj5G+DVq3fHiLxFbmswgKMjvJ3KjBcvjEXGD7eJvOXIYVyZGYwFycePozxuMBiwjdBTOMLAg0xmYGEsbNsHRfDmiT907w7vFyEjNWjwrqhpbh5lde4AKw0Btma8sjXnRRozgiy1ps/DvhU01D182FjAdHSET9Qptj/5h72GG6RPmyHax+PSKSIxC18xFaustFaQGe6/uk9wRNTCd2rqmJAQif3aJXaRNDHzqe1aL8mvrufNmwcYe668z9vbmw4dOnDq1CmOHTsGQL58+aJsc/PmTXLlyoVOp2Pr1q306NGDihUrYmtrS/v27Rk7dmxSx092S5YsofUHC4gUKlSIbNmysWXLFqZPn06/fv0oWrQo5ubmFC9eHG9vb7777jv++OMPSpQogZubG6NGjWLWrFk0bNiQDBky0KzZuzWH69aty7JlyyhQoAAZMmTAxcWF+/fvfzZblSpVuHfvHv7+/qa5VDQaDZ07d2bFihWUK1cuyvY7d+6Mct4vUVhEGAv9FtLNrhuLTi2KVZdrNXv/zdXeyp7AV4Efv3kGBcH163D1qvFWsCA0fttw3ruHWZlyvBtE+xp4apqTWPvo8buGNksWqFXLNHcMWbJA5syQJQthmTIw8PgQDMHGN/lwoFefd6sNP3j1gFtBu6hs3zvGN7nE+ACQmB8i1CIxGlAbcxvVP0+hHrFt94oXL45Wq6V8+fIsXrxY2r1EFLmCcJ48eVQzZPB9tra2jB07lq5duzJu3Dg6dOhA+g+/sBJCKOZz066AcTi0wWDgh2gWrQBYvnw5Hh4e1KpVC61WS9OmTU1fZiW16Hrzvd+7Mr7Hi/xcZKY1Mx0vrtd6ZcuWZfKsyVStU5WNazZStWpVqtevTtd+XZk4baKxzUufnmbfvu048ewZdUuVYlmOHBTIm5cMWbK8a/Pu3cNw+TKa8Ai+vq9HZ4hakNAVy/OuzQsIMK7CDHSuU4cVu3ZR0c4OLr0dDVWs2Ls27+lT42rcQLT9YNOmfVfUDAj49EIxGTO+K2oGBRmLmjF5fyRWWJhxLv33aIDIgaza90bQGHRaIjTwxikTVlmyGOe6f/8WOUQcoGFDuHSJsHR2NNreln/9L+CUNmqh3QpjIXv6jeW4tNoWqzkr1dqzMsZiVThwA6bVnmYc7/4e6ZhglNivXWL3hkzMfGq71tMYkmN1HBUICAjA3t6ely9ffjR59M2bN8mdO/dnJwpOjLnFEpMSeSZPngzAoEHvllZp2LAh33//Pd9++60py//+9z9q1qzJyZMnTQsHJaeEvDaRfxM5c+XkwvMLCVoMZ/PlzfTb3o9peabR/0Z/ptefrvgbQEJWpd18aRP9NnbHwSIdhjS2BIcFo3/xjF3nSpDrqd5YxLx79903qmBcce3t8JowfQgvsthzyy6CR1nTcj+LLWVyN+V3dvEkLZw198c5d3G2feYDwebLm+mxrYdp2PiHgsOCeR78nHkN5sU4D0j95fX578l/UT6YfDj0I5JxXsyiUXLFdIyYRHeMT0ms1YPj6vDdw7Tb0I5XoVFXrrTSWjEz70x6X+/90bd4aS3SsvS7pcnyDW1M7+XiY9G9VnFp80Bd7Z5SWVJCu5fQ1+bOnTtcuHCBnTt3mhZeSoikeP8KDw+nePHinD9/nkGDBjFp0iTFsiSEmvKoKYva8qgpi7R7sRPfaz2DwcBV/6sE6YOw0FmQ119LeEggERjQarRYmVm9m7/QzAzyv/sSndu3TYtOmo4HBIUFEUYE97K8G5qd6VkwacI0xuNFd/VdqNC7f9+5Y+zR+PZ4oWEhGAwRaDQazAw6rmSzJDQ8FGtza/I/16J58SLmF6ZkSYhc1frWLfjf/2Lc9LyTOX/6bMLa3JpBLVoYez9qNDTs3ZsWderQtlEj4/ztGg3/c3CgZt26xjbv+XPw98eg0RAWHo6Zufm7Hq4ajbFHZWS7+Py5sefj2+OYtom8Zcr0btvAQGOvzg+3idzPzs7YkxIgJASCg02PG4C7r+4RHB6CmdYMvZmOLJZZeah/SLg+nId3H/L77d/xaeYTq8/lCb32+NyxorsGic0xY/rc/inx+dyupvfED6k5G8Q/3xv9G/bc2BPn3pAueVywMf/8fPYJzZdU4tPmpdwuY0IRffr0MQ23O3nyJC1btqRw4cK0atWKwMBA03bXr19n/vz5ihQ0E8u+W/sY+PdAxRfDiZPQUOO3lIGBxv/a2EC2bO8e+/NPNK9ekfvECbT//Wf8ABC5bcmS0K2bcVu9HipVevfYmzcYAgNp/OYNjYG9JYIZ1CMvVmZWBJiB85pdEPHeJzR7e+OHvvz54b1v7rff2EWPERmizGHpmLkGJ58cI9QQijZMmyjzgcR3HpC4dL9X21wiiUW+oRUiqi+h3YvsqZk3b16Fk8RMp9MxadIkGjRowMyZM3F3dydnzpxKxxJCpHAf9qrUhoRgERo5D344hLx7n+fDC/6goHdFt7c0gA0Q/sH3S9ZhYB0cDgTyWaGhpmKpBng3iNkAhKE1WJp6f4ZqrLE0NzcWLqO7vceQOTP3zN4QZAhFa2ZOuAYMGg2GtzXCsAg9bh3dOLDhAOTIwcknT961eUOHRjne9WPH3rV5kStxR0QQ+PYLNk1MX7ClT//x1FAxsbU13mLD0jLKcO+XwS94rg3FzMycMI0mysI6AFqNlivPrsRqFFWK7Fn5CfK5PWVQW29INZOipogTCwsLevToAUCZMmVM8+dErnYXKTEn9VaCwWBg+bnliboYTgbLdNy4e5Y9R1dQN2vVqMXHrFmhQAHjji9fwqJFUQqKpn8HBoKrK/TqZdz2f/+DYsXePf7+MAyA9u3h7bAfwsKgVSvMgGLRBXZze1fUNDMzTp793u/1/Q8D1iHvJia3S5OBCfXf0KhSB0pWa26cgyZjxnffor6VWB8IEmPId2IU7lLrh4iYGlC9Xs/2G9tpXLCxKr7FEyK5fAntXuTCEB9OA6Q29erVo2bNmvz9998MHz6cZcuWKR1JCJGCvT/3ZWTPwqBMmXihf4YBA+ERYVjoLHFKk9X4+Ifza2bLFuWzt8Fg4OHrh4SGh6L74DPs/+wt+J+tHgudBVnTOkWdq/PD4zo5QebMGDBwP+A+IeGhps/EDuYZMfDctP/tdJA/T7FYzf35UhuKv5keM615tNubac0IiwijVadWQNQ270NqbvOi+71+KLLMGZvrPDXPWSmFLyGkqClEtILCgrjqfzVui+GEhxuHXl+5QvilC+x/vByDgwFLM0ts79/nhMfptxu2/3jfPn0gcshfYCC8N8zxI5kzv/u3pWX089LodMZvNt8vPllZwTffEGFtzcOXL8maLx/aNGmMvTltbaFIkXfbajSwdatxH1tbwqws6LSnF2cCrpDOwYlgi3ffvlqZWTG/hi3/ZLnEtorlk3T1tsT6djMxCnfyIUIIkRoYDAbTQkFq7qkJxovTyZMnU7p0aZYvX06/fv1MKyULIURcfdhLEyDc2prXZjoMGDAYtARE6LG11kQ/t2batFGPF/yCp6FhmGktPiqmvbHSYjBY8DIiDJuYjhfJxsZ0vGdmeswsjEVIDRrsza2InArz/bk6Pzf3Z6wKfW/vT8giSWoQ3e81OvaW9sm6YjTIiCghkoIUNYWqGAwG3ujfYGNuo1hDajAYeBVinJckxsVwwDgp9rRpcOWK8Xb1qnE4N8a2qHAVWxx+yAVA+AfDEcOsLTGzTfuuoJgx47sH7e2Nq35HPvb+f21sos65Y2sLZ868eyxyu+iGP2q18PffhOv1nHw7b4b2U4W7evVM/9x+eTN/cYP0mTPxxkz30aaf+2YysT4QpNYh30IIoZSQkBAMBgMajYZskdOVqFipUqVo06YNy5YtY9CgQfz1118p9sJbCKGcxC7yqf14sS30xaVQqkaxed0iWegs4r1i9KfEp2eljIgSIv6kqClU5WXIS+4F3CO7XfYENaQBIQGm/6azjttxXoW+Qh+h56s3NjhdvUu2B+FkfXiQgClf49CkJYwebdxQq4Vffom6s4UFhnz5OGz9lPNOoaYCXrCDA/WnluGlRTi3gh7yddZiMS8YY2sLS5fGLqxWC8WLx+n5xZVa5rCE1DvkWwghlBI59Nzc3Byd7uMvrdRo/PjxrF27lr1797J9+3YaNGigdCQhRAqT2EU+NR8vLoW+lN5bM1AfSEhYCAYMhIa/W/RTixbMQR+uJzw8nDBDGI8CHxFuCI/fitGfINceQiQvKWoqQA29ERNbQoqIkSIb3NDw0AQ1pAaDgadvnpJJl4mnb55ibxX74xjCwtDdvU/WF+EsnnULq9u333v0MhHZTmAaeJ0hA/TrBzlzGufD/OoryJmTLde2vV3RLjOmEqBOx4u05oQaDKTXZoj9kHYVUMscliBDvoUQIrEFvV2MIiX1DMmZMye9e/dm8uTJDB48mDp16mBmJh9phRCxk9hFPrUfL6ZC36eEhIUQqA8kjUWaWG2vFtZm1jjbO5sWajUxAKHgbOdMaGgoEdYR/FTtJ/Ra/SeLkHLtIYT6ySfAWAoLM051CPDqlbEzXXw/PydWb0S1SEgR8X2R30iaa80TNOzhZchLgsOCQQfBYcEfH8dgeLfqd2Cgcf7Jt0PuXupfYRkSjs4Aep2G67lsuOloxY1MZpxPr6dFywbUfP9k06ZFOXdiro6nBmqaw1IIIUTie7+nZkoybNgwlixZwoULF/D29qZr165KRxJCpBCx6c0XQdTF4D5V5EvsomFi54ux0PcJGo0GazPrWG+vFjqtLtrrx4iICAJCA7C3sidUG4q/uT+uuV2xsvr09Y0QQv20n9/kyxYcDPfuwaVLcOeO8b47d4w/37tnfDwuPuyNGF3jkitXLgoUKECJEiUoUaIEXbp0SYRnkvhu3brF/Pnz3xUReVdEjPTw4bsATz0AANmqSURBVEMqVKhgWiU2V65cFCxYkLD3VgosU6YMe/fu5UngE+ZNmcekUZMATK+Pj48PTZo0MZ0zXbp0AKbXp3Dhwuh0OtPPrVq2AgNMmjSJ76p/R4UyFSj41VcM6tEDrl0j+PhxSpcsyctz5+DJE3j2DHj7u3nzlMf2Wv5nZ067YYVo71mI0R1zs7ShM1uKWTHx2SbCIj5YYfw98enVqGYfDhv/3O39IRxCCBFbKa3d+5TYtnv79u0DYPTo0fTt2zfKMeLa7rVs2RKAcePG8fXXX1O8eHEKFizIoLeLzgUHB1O6dGlevnzJh1JiT02AdOnSMXLkSABGjRrF69evFU4khEgpIot8Oe1zRrk52zkDxt58Hz1m7xxjkS+m48V0a1y+MW5V3ahSrkq0bV5i54ss9KW3Th/rWzqrdNy9czfObV6xYsUoXLhwkrZ5LVq0AGDs2LFxbvOEEKmPeruIKeltl8zXr40FzPBw42LQ5mYREByMmZkdYWHGWljAw0By5IA00fXM12rBOmrjEtveiKtXr6ZEiRLxih8WFpYsw7AiL+5qfl/T2KUfwBB1+MO4ceNwd3dHq31XPw8JCWHJwoX82LEjvG0AA/WBBOmDsNFDREgEjq8MRPCa4De34OVLY/X48WNjL8u3zhw4ACEh3LpzhxI1a3Jmzx4C9W94FvSM7Rt2s2fPHtbsWoPOUkeBxxFcPn8RXrzASqejbf36TF2zhrGensZutwaD6XejtTZHb6Yh1ExjHB79VnIthqMmMo+MEF+IyKEIH4owtnvY2X1+W4i23YutlNTude/ePcZtYmz3lizhxx9/TND5z5w5Y8pRokQJ088RERH88ccf7Ny5kxMnTmBtbU1YWBjnz58HwMrKirZt2zJ16lTGjh1rOp7BYEixPTUBevbsyaxZs7hx4wZTp07lp59+UjqSECIF0AUFk46P3/MiIiIICA7E3i7zu/fw99u8oA96s7xt80y9AwMDjdcVn6HVaFm7Zm2Mbd7nehvamtliEd2ioIksrm1eZGEzqds8gHXr1rFjx444tXlCiNRJempGJ00aSJOGNI5pKFwuDUUrpuHrCmkoWMYOm3btAOOIZXNzKFAtM2kc05j2iXJ7b/VoiDo/ik5rnEAwpt6a0dm1axelSpWiWLFiVK9enQsXLgCwb98+ihQpQufOnSlRogQbNmzg6tWrNGjQgLJly1KsWDFmz55tOs6RI0eoUqUKxYsXp1ixYmzatAmAgQMGULZsWUoUL061qlW5fO4chIQQ9Pw5LZo1o3DhwhQvXhxXV1cIDKR7t25cvnyJJlUb0b9NLywCAsgUGEEa/0Bj783gYFavXk3TsmXhv//g338hNJTR7dszbswY3vj5weXLADwPeg6Ald6ATUgEWV6GkfVlBNaPn4G/v/Gi+u4HK849fQq3b8P9+8YL71u3sL3/hBz+4QRdvU+6dOmwsjYWF1/bmlGsfHnInh0KFqTlgAEs2rABQ/bs4OCA4e3vAmKeu+b9QmR0vTVj6tV4/9V9wLgYTkrr1Rg5bLxp4aaxvjUu0Bgbcxulowsh4iK6NixNGrR2dti+bfdMMmeOcfsP272Eer/d++abb7h06RKQiO3ewIHGdq9ECapVq8blt21SUFAQLVq0iNruAd27d+fy5cuUKFGCb7/99qO8pnavadMo948ePZpx48bx5s2bRH193vfgwQPSp09vGkpnZmZG8fcWkmvZsiWLFi2K8pkjNDSUiIgINBpNipyT0sLCAi8vLwAmT57Mo0ePFE4khEgRkqrNy5UrQbE+d63XpUsXqlatqkib17jxxx06YmrzRo0aleRt3r1793BwcIhTmyeESJ1S3idYhRl7NLx7c4zL1JEvg54THvyGNAYdmvAIDObvrVYXjLFLqMEAERG0aNYM67dv0j8NGkTlevVo1aoV+/bto2iGDCxfu5bm333HqS1b0Dx8yMWLF5k7bBhLRo0iPHt2ypcvz7Jlyyhobs6b58+p0KoV5TNkIG/27DRp0oR1kydTtXx5IgoV4sWLFwAM+e47pvzwAwCrdu+mT7du7Jw1i5179/LiwQNTw+rv7w937zJ/wAD6Tp3KmaXLjU/wyRNsgHANXA98wqPzj8idOzc2Op2x2+tbxfPn55vSpZm+ciXDu3cnPCKckPAQzLRmhJhrWbZrJ3+dOWXc2AAvAl5R+uuvwcEh6gv+toclr1+DRoM+jQ1BYUFo0fBt43os2LYN17KulCpfitIVS9OtQzeypncEwDFNGqytrTl//jxff/11lBUGDRExN37JsRiOEEJ8iVq0aIH1216eP/30E5UrV37X7hUtyh9//EGHDh1MPTEuXrzI3LlzWbJkCeHh4e/avYIFefPmDRUqVKB8+fLkzZvX2O6tW0fVqlWJiIh41+4NGcKUKVMAWLVqFX369GHnzp3s3LmTFy9eRG33gPnz59O3b1/OnDlj7DETEBDlOZw4ccLY7tlE/WKnePHifPPNN0yfPp3hw4d/9NyXL19uGpoXeb5SpUrF6fVzc3Pjjz/+IE+ePFStWpUaNWrwww8/mF5TR0fHKO0evJtP08LCIsUuXPj9998zbdo0jh07xk8//cSCBQuUjiSEEJ/1uTZv+fLlNGvWLEqbN3v2bKZNm4atrS0VK1ZM1jYvOkq2eS1btmThwoVxavOEEKmTFDWjEfbiNZcvG+tlurdFKIMhjJCQC0RoIrAI+x86XRbAwNUDD9GE6TEnDOecGszsbCN3MPYivHQJ9HoMYWGkCw8nnfEMBFpque1oLFo+CXyC/d03aCLnHgkLY7WXFyUKFDD+bGPDlmPHKFq0KEWLFoWzZ2lduTLuI0bwv+vX0bx+TZ5s2aheoAC8esXly5c5f/68cY6t4GCIiOBVYCAXLl/myePHFMiZk6rFikF4OFqtFgcH4/yPvkeOMOuPP3gVGEiEwYB/QABotRQvWJCLN2/Ss2dPqlevTv369cHKinALcyK0GgIttaDRYKG15I0mlDANBOmDuHLzClmyZAEnJ8iSxbiykrk5FCjAuDlzKFe+PD+OGYM+wlgE1Gg0BFtoqfd9QzzHewLGibB3rNvB0T1HIU8euHXr3S/K0VigxMwMtFpuZjIjSG+Guc4cTZbs/HP4MLuO7uLU8VOs8VnDau/VnD5xGktLy7e7O3Lv3j2KFCkSpZemgZiLmrIYjhAiVYphPsKIiAgCAwOxe//OJ09iPo42/gNAPhx+vmXLlnftHtC6dWs8PDy4f9/Y+z1PnjxUr14dIGq799arV6+4cOECT548oUCBAlStWvVtxPfaPV9fZs2axatXr4iIiDBdyBUvXpyLFy9Gbfdi4d69e8Z2Lxrjxo2jXLly0Q7ja926NTNmzDD97OPjw8aNG2N1zkhZsmTh33//5cSJE/zzzz/MnTuXWbNmcezYMdMwxch2L/ICL3I+TUtLS8LDw2M8tpppNBqmTJlC1apVWbx4MX369KFw4cJKxxJCqFlStXnvX6d8RmzaPHd394/avICAAGnzMLZn586d49ixY7Fu84QQqZMUNaMRiC1hlsZameG9jgtmlnnIHnoX85B7WGgeY2YIQ0uE6VUM808LWTO/20Gvh7cXDJGHidBAuFZDmJnxHjOtsbem3sYSC2yMPRG1WuP8ZZE9E98W4UwyZzb26tRqCUqfHkNICGns7SFnTjAzw/DgAQ4ODsZv1V69Mg7N1hoLj9t27QIbGyhSJEpDfOfOHTy8vDhx9Ch58+Xj7LlzVKteHUqVIk+pUly4epW///6bPXv2MHjwYE6fPs0DB3NCzOC2oxUaNGQ1z8pD/UNjUTBcT6g21NgL5P25ZTQaMDMjV+7ctGrVilFjRmEwGNBpPujCGPmaa80IDQ/97JyOBgymnpaRdDodJcuVpES5ErTu0ppqX1fj6KmjVK9ovAgODg7G2tr6oxUGDeEGwgxhPAp8xL0396I9X+Sw8UrOlT6ZSwghUoSY5gCLiDC2N7HZNpmleW8ya4PB8K7d+8C2bdui3f/OnTt4eHhw4sQJ8ubNy9mzZ6lWrRpgvHi8cOFClHYvpp4q77OxsTH1fvxQrly5aNWqFePHj//8k4snnU5HpUqVqFSpEr179yZLliz8999/ph4wke1epMisVlZWBH5qrlSVq1KlCk2aNGHjxo0MGTKELVu2KB1JCKFmSdXmJWH7KG3ex+La5gkhUicpakYjIsLY0fLDkVhm5plIE3oXcwxgCH23PVr0mKPRfdALz9kZNBoM5mbcDnzA64gQtB/01Isc7nUrg478DvmNP5uZGffNk8e0XQVzc86dO8d///3H119/zapVq8iWPTsZCxXibnCwcZ9MmQAokDYtdnZ2eHt707FjRwCuXbuGg4MDlWrW5KqHBwdPnowyJOHly5eYm5uTNXt2DBoNs+fMMZ373r17pE+fnsaNG1O3bl02btzIhesXMLc2JzAg+osgM60ZuQrkMs1/Fp3hw4dToFABzMzMYhz2Fnl/SHhIjHOiGAwG02OR2/935j+CMwZjld3YG/bmtZuE6cOwdLDEYDAQERHB9evXKVq0qGmFwchjhIaEEmEdwU/VfkKvjb6YKsPGhRAiaVWoUOGjds/JyYls2bJx48aNKNsWKFAg5navUiWuXr3KwYMHo2/3smbFYDBEmY8sunbv7t272NnZfXI11WLFipnmKIvOiBEjKFSoUJL02j99+jTZs2cnf/78AFy6dAm9Xo+zs3G13PDwcFO7Fymyp6aFhUWKLmoC/PLLL2zZsoWtW7eyb98+atSooXQkIYSItejavGzZspEtWzauXbsWZVtp8+DkyZOkT5+evHnzArFr84QQqZMUNaPxtlNjtIXNV+nT4//8OXpAZ/kVETpbwg06wsIgtxNEWYcuQwYAXga/4CUhMU7CH9lbM6aV0AEyZcrE8uXLadeuHWFhYaRPn57Vq1dHWww0MzNj69at9O3bl+nTpxMeHk7GjBlZsWIF2bJlY8OGDQwYMIBXr16h1WoZN24cjRo1omXLlhQpUoQMGTLQpEkT0/HOnTuHp6cnBoOBsLAw2rRpQ+Y8mbEOsiZfwXx8W+1bnHM6s37VetM+Go2GbDmykT5jelPj/CHztOb80OkH5k6eG+1zjqTT6AiPCOdlSPSN6qvQVxgwROml+cL/Bd2GdePZi2dYWlmi0+mYNG8S1vbWvAx5yb/H/qVs2bKm4Rjvv+7BmmD8zf1xze1qmnxaCCFE8oqu3fP29lak3Wvbti3FihUjLCyMIkWK8PXXX5M7d27++OOPKDly585NlixZOH/+PEWKFPkoZ8aMGenduzejRo1K9NfL398fT09PXrx4gbW1NTqdjhUrVpDp7Reehw4ditLuGQwGU1EzNbR1BQoU4Mcff2Tu3LkMGjSIY8eORVmBXggh1Cy6Nm/t2rWqafPy5MnD5s2bo+RQss179uwZHh4esW7zhBCpl8bwhSwJFhAQgL29PS9fvsTO7t1MKcHBwdy8eZPcuXObPtSHhRmnwnx/Tk0AjSaCrFkDuHnzCeHhAeh06bC0zEdYmLEQWrCgscPk+wwGA1f9rxKkD8L8w56c79GH67E2t37XWzMWIhcpsLOzS9YP7i+CX3D7xW3MtO96WH40/Bzjc9++aTuX/S6zeP7iKMeI7esSKabXJ6bjRJfn/eOMch9F586dqV279kfniu5vIiH0ej3bt2+nfv36qphTU0151JRFbXnUlEVNeWJ6Lxcfi+61iuv7m1LtjNqzfCrP2rVr2bdvH3PeG/GgVJb3tWzZMkq7FxoaytmzZwEoXLgwt2/fTvHt3pMnT8iXLx+vXr1ixYoV/PDDD6p574qkpjxqyqK2PGrKIu1e7MTlWi8mamtnPqTGfO+3eWrK92Gb93620NDQRL3WSwxqes+JjprzqTkbSL64ik+bp453Q5UxM4N06YzD0KNjYZEdgPDwF4SHv8JggPTpPy5oAlFW1f7kOd/rralmBoMhyqI6n6LRaHBt5IpTbqePFiD4cB7Lz90MGAgJCyFQHxir40TOwakP1390nIDXAVSoXCHagqYQQgiREN9//z2FChUiIqYPEQoIDg6mevXqUdq993tpKn3xmVgyZ87MkCFDABg2bBghISEKJxJCiNQtpbR5QojUS4afxyBjRnj50rjWz4cFa63WCjOzTISFPSU09C5WVoXIkOHjAl9cC4DwdiV0S/tY99ZMbh8WESNp0YK5sYgYQdRG7fsO3xMUHkQa3bsJrj+cxzI2NBoN1mZRJ3uO8TgGIBSc7ZzfrdL03nFKupeM9XmFEEKIuPDw8FA6QhRWVlb06NEjyn3vLxKUmvTr14+5c+dy69YtZs+eTe/evZWOJIQQqVpkm6eWwmZ0bZ4QIvWSouZbHxbFrKyMi4nfvm0sbGo0UYubWq0T4I/B8IZ06Z5hZZXxo2PGVAD8lMjeiGks0nx+YwXEt4j4YTFSp9XFOH9oXMR0nIiICAJCA7C3so9zD5QvZEYGIcQXTC0XHkI5kT01ra2tU9Xfg42NDePGjaNz586MHz+eNm3aKB1JCKEC8vleRJK/BSFSly++qGlubo5Go+Hp06dkypQpSg9JMzPInh1evIjstRlBaGgoen0woMXWNiOBgY95+vQe6dIZJyh+nyZCQxarLHHujagJ0xAcEfzZbSMijHmCg4OTdeiYFVYfFS4jDBG8Dn1NGos0aDUfZ9GH6tET/UriSSG+r43BYODp06doNBpVzCkhhBCJycLCAq1Wy4MHD8iUKRMWFhafHBmgVDuj9ixqyxOfLG/evAGM7d6DBw/QarVYWFh8Zq+UoX379syYMYNz587xyy+/yEroQnzBPnWt9yE1va9HR/LFX2S2oKAgnj17Jtd6QqQiX3xRU6fTkT17du7du8etW7c+sR2EhBi4ezcIjcYaS0sNBoOBFy9eEBYWRlBQEOnSpUuUTM94FqvtIlcutba2Vny4upqyJDSPRqMhe/bsHxWphRAipdNqteTOnZuHDx/y4MGDz26vpvd2NWVRW574ZLl37x7h4eGYmZmRPn16cuTIobqL0PjS6XRMmjSJevXqMXfuXAoVKqR0JCGEQmJ7rQfqel+PjuSLv/ezabVaudYTIhX54ouaAGnSpCF//vzo9Z/uSajX6zlw4ADVqlUzfbNz7do1evfujZWVFTt27CBr1qzJETnGPEpRU5aE5jE3N5dGTgiRallYWJAjRw7CwsI+WsTtQ2p6b1dTFrXliWuWJ0+e0K1bNzQaDefOncPW1lZ1F6AJVadOHVxcXNizZw/Lli2jY8eOSkcSQigkIdd6aiL54i8yW/Xq1bG2/niEpRAi5ZKi5ls6ne6zb246nY6wsDCsrKxMb9SNGjVi6tSpHDhwgJEjR7Js2bLkiBtjHqWoKYsa8wghhJpEDrv63Pujmt5L1ZRFbXnimuXq1avcvn2b/PnzkyaNOufwTiiNRsPkyZMpVaoUBw8e5OTJk1SsWFHpWEIIhcTmWu/UqVP8888/uLq6Kv6+Hh01tTvRUXO+yGyWlpZS0BQilUkd44wUpNFomDZtGhqNhuXLl3P8+HGlIwkhhBBCxOjChQsAFC5cWOEkSatEiRK0bt0agCFDhsjiEEKIGL169Yp27drh5eWFh4eHad5hIYQQ6iZFzURQunRp2rVrB0C/fv3kQ7MQQgghVOtLKWoCjBkzBgsLCw4ePMiWLVuUjiNEqnTgwAEaNWqEk5MTGo2GjRs3frTNxYsXady4Mfb29tja2lK2bFnu3Lljejw4OBh3d3cyZMhAmjRpaNq0KY8fP06252BhYcG3334LwMKFCylTpgxnzpxJtvMLIYSIHylqJpIJEyZgY2PD4cOHWbt2rdJxhBBCKORzF3ePHz+mQ4cOODk5YWNjQ926dbl69WqUbZS+uBOp25dU1HR2dqZRo0aAsbdmWFiYwomESH0CAwMpXrw4c+bMifbx69evU6VKFQoWLMi+ffs4e/YsI0eOxMrKyrRNv3792LJlC2vXrmX//v08ePAANze35HoKWFpa8ssvvzB69GiyZs3KxYsXKV++PNOmTSMiIiLZcgghhIgbmVMzkWTLlo3BgwczevRohgwZQuPGjaM01EIIIb4MkRd3nTp1+uiCzGAw0KRJE8zNzdm0aRN2dnZMmzYNFxcXLly4gK2tLWC8uNu2bRtr167F3t4eDw8P3Nzc+Oeff5R4SiKV+ZKKmgBubm7s37+fS5cusXjxYrp37650JCFSlXr16lGvXr0YHx8+fDj169dn0qRJpvvy5s1r+vfLly9ZsmQJK1asoGbNmgB4e3tTqFAhjh49SoUKFT46ZkhICCEhIaafAwICAOOCMJ9bECgmer2eEiVKcPToUdzd3dm6dSsDBgxg586dLF68OFkXhI0p3/v/VRs151NzNpB8CaHmbCD54io+OaSomYgGDhzIokWLuHXrFjNmzGDo0KFKRxJCCJHMPnVxd/XqVY4ePcp///1HkSJFAJg3bx6Ojo6sXLmSLl26xOviDpLuAu/9/ypJTVlAXXnikuXp06f873//Q6PRkDdv3iTJr7bXxtbWlqFDhzJw4EB++uknmjdvTtq0aRXL8/5/laSmLKCuPGrMklJFRESwbds2Bg8eTJ06dTh9+jS5c+fG09OTJk2aAODn54der8fFxcW0X8GCBcmRIwdHjhyJtt3z8vJizJgxH92/e/dubGxsEpT59OnTdO7cmezZs/Pbb7/h6+tL0aJF6dWrF2XLlk3QsRODr6+v0hE+Sc351JwNJF9CqDkbSL7Yis98xlLUTES2trZ4eXnRrl07fv75Zzp27EiWLFmUjiWEEEIlIouO7/fk12q1WFpacujQIbp06RKviztI2gs8tXzQAXVlAXXliU2W//77D4DMmTOzb98+xfMkl5w5c5I1a1YePnxIz549+eGHHxTNo6bXRk1ZQF151JAlpS9Y8+TJE16/fs0vv/zC+PHjmThxIjt37sTNzY29e/dSvXp1Hj16hIWFBenSpYuyb5YsWXj06FG0x/X09KR///6mnwMCAnB2dsbV1RU7O7t4ZdXr9fj6+lK7dm3Mzc1p0KABPXr0oG3btpw9e5YJEybQvXt3Jk6ciLW1dbzOkRAf5lMbNedTczaQfAmh5mwg+eIqslNGXCR5UdPLy4v169dz6dIlrK2tqVSpEhMnTqRAgQKmbRYuXMiKFSs4deoUr1694vnz5x81av7+/vTq1YstW7ag1Wpp2rQpv/76K2nSpEnqpxAnrVu3ZubMmZw8eZJRo0axYMECpSMJIYRQicjipKenJwsWLMDW1pbp06dz7949Hj58CBCviztIngs8Jakpi9ryxCXL3bt3AeMih/Xr11c8T1KLzFK/fn3Cw8Np2bIlW7ZsYeLEiTg5OSmWR02vjRqyqC2PmrLE5wJPTSLno/z222/p168fACVKlODw4cPMnz+f6tWrx+u4lpaWWFpafnS/ubl5gn9n7x+jWLFiHD9+HE9PT6ZPn878+fM5cOAAK1eupFixYgk6T2LkUyM151NzNpB8CaHmbCD54pIjrpK8qLl//37c3d0pW7YsYWFhDBs2DFdX1yhzh71584a6detSt25dPD09oz1O69atefjwIb6+vuj1ejp27Ei3bt1YsWJFUj+FONFqtUybNo1q1aqxePFiPDw8KFq0qNKxhBBCqIC5uTnr16+nc+fOODg4oNPpcHFxoV69ehgMhgQdO7ku8JSmpiygrjyxyXL58mUAihQpkuS51fbaNG/enJkzZ3L48GHGjx/PokWLFM2jptdGLVlAXXnUkEXp8ydUxowZMTMz+2gO30KFCnHo0CEAHB0dCQ0N5cWLF1G+0Hv8+DGOjo7JGTdalpaWTJs2jTp16tC+fXsuXLhAuXLlmDhxIr1790aj0SgdUQghvlhJvvr5zp076dChA0WKFKF48eL4+Phw584d/Pz8TNv07duXoUOHxjik7uLFi6YJmsuXL0+VKlWYNWsWq1at4sGDB0n9FOKsatWqNGvWjIiICPr375/gC1UhhBCpR+nSpTlz5gwvXrzg4cOH7Ny5k2fPnpEnTx4g6sXd+9RycSdSti9tkaD3aTQaJk+eDMBvv/3G+fPnFU4kROpnYWFB2bJlTV+oRLpy5Qo5c+YEjO2iubk5f/31l+nxy5cvc+fOHSpWrJiseT+lTp06nDt3joYNGxISEkLfvn2pX78+jx8/VjqaEEJ8sZJ9Ts2XL18C4ODgEOt9jhw5Qrp06ShTpozpPhcXF7RaLceOHeO77777aB+lF0wYP348mzdvZs+ePWzatIkGDRrE65yJlSepqSkLqCuPmrKAuvKoKQuoK4+asoB68ih9/sRkb28PGBcPOnnyJOPGjQOiXtw1bdoUUOfFnUiZvuSiJkClSpVwc3Nj/fr1DB48mG3btikdSYgU7/Xr11y7ds30882bNzlz5gwODg7kyJGDQYMG0aJFC6pVq8Y333zDzp072bJli2leX3t7ezp37kz//v1xcHDAzs6OXr16UbFixRg7vSglU6ZMbN68mblz5zJw4EB27txJ0aJF8fHxSbIpPYQQQsQsWYuaERER9O3bl8qVK/P111/Her9Hjx6ROXPmKPeZmZnh4OAQ4/xialgwoUGDBmzYsAEPDw/Cw8MxM0ual1sNk5hHUlMWUFceNWUBdeVRUxZQVx41ZQHl86SEBRM+d3G3du1aMmXKRI4cOTh37hx9+vShSZMmuLq6Ainr4k6kLP7+/qbPTYUKFVI4jXJ++eUXNm/ezPbt2/n777+pWbOm0pGESNFOnjzJN998Y/o5cn7n9u3b4+Pjw3fffcf8+fPx8vKid+/eFChQgD///JMqVaqY9pk+fbpp3YSQkBDq1KnD3Llzk/25xIZGo8Hd3Z0aNWrwww8/cO7cORo0aECvXr2YNGlSlMUAE1NoaKiMABRCiA8ka1HT3d2d//77zzR/SlJSw4IJlStX5tChQ9y/f5+7d+/i7u4er/MmVp6kpKYsasujpixqy6OmLGrLo6YsasqTEhZM+NzF3cOHD+nfvz+PHz8ma9astGvXjpEjR0Y5Rkq6uBMpx8WLFwFwdnYmbdq0CqdRTv78+enevTuzZ89m4MCBnDx5Eq02yWdkEiLVqlGjxmeLbZ06daJTp04xPm5lZcWcOXOYM2dOYsdLMkWKFOH48eMMGTKEmTNnMmvWLPbu3cvKlSvj1IHnfeHh4dy9e5fLly9z5cqVKP+9e/cuhQsXxsXFRRWfDYUQQg2Srajp4eHB1q1bOXDgANmzZ4/Tvo6Ojjx58iTKfWFhYfj7+8c4v5gaFkzImDEjY8eOpUePHowbN4727duTPn36BJ07IXmSg5qygLryqCkLqCuPmrKAuvKoKQson0dNr0VMPndx17t3b3r37v3JY6TEizuhfl/60PP3jRo1iqVLl3L69GlWrFhBmzZtlI4khEiBrKys+PXXX6lbty4dOnTgv//+o0yZMkyZMgV3d/cYFxF69uxZtIXLa9euRZlC7UPnz59n4MCBzJ8/P6mekhBCpChJXtQ0GAz06tWLDRs2sG/fPnLnzh3nY1SsWJEXL17g5+dH6dKlAfj777+JiIigfPnyiR05UXXp0oXZs2dz/vx5xo4dy/Tp05WOJIQQQogvkBQ138mUKRNDhw5l2LBhDB8+nGbNmiXZkFEhROpXr149zp49S8eOHdmxYwe9evVi586djBo1Ktqel/7+/jEey8LCgnz58vHVV1/x1VdfUaBAAb766ivu3r1L69atWbBgAZUqVaJdu3bJ+AyFEEKdkryo6e7uzooVK9i0aRNp06Y1zeVkb2+PtbU1YJwz89GjR6Y5yM6dO0fatGnJkSMHDg4OFCpUiLp169K1a1fmz5+PXq/Hw8ODli1b4uTklNRPIUHMzMyYNm0aderUYfbs2fTo0YOvvvpK6VhCCCGE+MJIUTOqvn37MnfuXO7cucPMmTMZPHiw0pGEEClYlixZ2LZtG7Nnz2bQoEFs27btk4uROTs7RylaRv47Z86c6HS6j7bX6/Vs2rSJ1atX8+OPP1K8eHGKFy+elE9JCCFUL8mLmvPmzQOMw/He5+3tTYcOHQCYP39+lEV9qlWr9tE2y5cvx8PDg1q1apnmGZs5c2ZSx08Urq6u1K9fn+3btzN48GA2btyodCQhhBBCfGGkqBmVtbU148ePp0OHDvz888907tyZDBkyKB1LCJGCaTQaevXqRY0aNejatStXrlwhf/78UYqXBQoUIF++fNja2sb5+C1atODly5fs3LkTNzc3Tp48mSTTmwkhREqRLMPPP2f06NGMHj36k9s4ODiwYsWKREqV/KZMmcKuXbvYtGkTe/fujbKIhBBCCCFEUgoICODevXvAl73y+YfatGnD9OnT+ffffxk3bhwzZsxQOpIQIhUoWrQoR48eTfTjarVafHx8qFChAjdu3KBdu3Zs2rRJFjsTQnyx5N0vmRQqVIju3bsD0K9fP8LDwxVOJIQQQogvReTK51mzZpVePe/R6XRMnjwZgLlz53L9+nWFEwkhxKc5ODjw559/YmlpydatW/Hy8lI6khBCKEaKmslo9OjR2Nvb8++//+Lj46N0HCGEEEJ8IWToecxq165NnTp10Ov1eHp6Kh1HCCE+q1SpUsydOxeAkSNHsnv3boUTCSGEMqSomYwyZszIqFGjAOMCSkuWLFE4kRBCCCG+BFLU/LRJkyah0WhYu3ZtkgwZFUKIxNapUye6du2KwWCgVatW3L59W+lIQgiR7KSomcw8PDz49ttvCQkJoUuXLnTt2pXg4GClYwkhhBAiFZOi5qcVK1bMtDjloEGDYjUnvBBCKG3mzJmULl2aZ8+e0axZM7muFEJ8caSomcwsLCxYv34948ePR6PRsHjxYqpUqSLfrAkhhBAiyUhR8/PGjh2LtbU1hw4dYtOmTUrHEUKIz7KysuLPP//EwcGBkydP0qdPH6UjCSFEspKipgK0Wi3Dhw9n586dODg44OfnR6lSpWQuFCGEEEIkusDAQG7dugVIUfNTsmfPTr9+/QAYMmQIer1e4URCCPF5OXPmZOXKlWg0GhYuXIi3t7fSkYQQItlIUVNBrq6unDp1ijJlyuDv70/dunWZMGECERERSkcTQgghRCpx6dIlADJlykTGjBkVTqNuQ4YMIVOmTFy5coVFixYpHUcIIWLF1dWVMWPGANCjRw9OnTqlcCIhhEgeUtRUWM6cOTl48CBdunTBYDAwYsQImjRpwosXL5SOJoQQQohUQIaex56dnR0//fQTAKNHjyYgIEDhREIIETvDhw+nQYMGhISE0LRpU/z9/ZWOJIQQSU6KmipgZWXFokWLWLRoEZaWlmzZsoUyZcpw9uxZpaMJIYQQIoWTombcdOvWja+++oqnT58yadIkpeMIIUSsaLVa/vjjD/LkycOtW7do06aNjAAUQqR6UtRUkS5duvDPP/+QM2dOrl+/ToUKFVi2bJnSsYQQQgiRgklRM27Mzc355ZdfAJg2bRr3799XOJEQQsRO+vTp+fPPP7GysmLHjh2MGzdO6UhCCJGkpKipMqVLl8bPz486deoQFBRE27Zt6dWrF6GhoUpHE0IIIUQKJEXNuGvSpAmVK1cmKCiIkSNHKh1HCCFirUSJEsyfPx+AMWPGsGPHDoUTCSFE0pGipgplyJCBbdu2mT5Ez549mxo1akhPASGEEELESVBQEDdu3ACkqBkXGo2GKVOmAODj4yNTAgkhUpT27dvTvXt3DAYDrVu35ubNm0pHEkKIJCFFTZXS6XSMHTuWzZs3Y29vz5EjRyhVqhT79u1TOpoQQgghUogrV64QERFB+vTpyZIli9JxUpQKFSrw/fffYzAYGDx4sNJxhBAiTmbMmEG5cuV4/vw5TZs2JSgoSOlIQgiR6KSoqXKNGjXi5MmTFCtWjCdPnuDi4sLUqVMxGAxKRxNCCCGEyp0/fx4w9tLUaDQKp0l5vLy8MDc3Z9euXfj6+iodRwghYs3S0pK1a9eSMWNGTp8+jbu7u1xDCiFSHSlqpgD58uXjyJEjtGnThvDwcAYOHEjz5s159eqV0tGEEEIIoWKR82kWKVJE4SQpU968eenZsycAgwYNIjw8XOFEQggRezly5GDlypVotVq8vb1ZvHix0pGEECJRSVEzhbCxsWHp0qXMnj0bc3Nz1q1bR6VKlbh7967S0YQQQgihUrJIUMKNHDkSe3t7/v33X5YtW6Z0HCGEiBMXFxfGjx8PgIeHBydOnFA4kRBCJB4paqYgGo0Gd3d39u/fj5OTE5cvX2bQoEH8+eefSkcTQgghhApJUTPhMmTIwLBhwwAYMWKEzEsnhEhxhgwZQuPGjQkNDaVZs2b873//UzqSEEIkCilqpkAVK1bk1KlTVK9eneDgYH744QcGDRpEWFiY0tGEEEIIoRIhISFcu3YNkKJmQvXu3ZscOXJw7949ZsyYoXQcIYSIE61Wy++//06+fPm4c+cOrVu3luk0hBCpghQ1U6gsWbKwY8cOmjRpAsCUKVOoXbs2jx8/VjaYEEIIIVTh6tWrhIeHY2dnh5OTk9JxUjQrKyvT8E0vLy+ePn2qcCIh1OPAgQM0atQIJycnNBoNGzdujPJ4hw4d0Gg0UW5169aNso2/vz+tW7fGzs6OdOnS0blzZ16/fp2MzyL1S5cuHX/++SfW1tbs3r2b0aNHKx1JCCESzEzpACL+zMzM6NChAy1atKBr167s27ePUqVKsW7dOipWrKh0PCGEEEIo6P2h57LyecK1bt2a6dOnc/r0acaNG8fMmTOVjiSEKgQGBlK8eHE6deqEm5tbtNvUrVsXb29v08+WlpZRHm/dujUPHz7E19cXvV5Px44d6datGytWrEjS7F+aYsWKsXDhQtq2bcv48eO5e/cuadKkwdzcHAsLC8zNzT/696cee//fGo2GmzdvcuHCBWxsbGLczszMTNokIUSikaJmKtC0aVNKlCiBm5sbFy9epHr16kyfPp2ePXtKgyGEEEJ8oWQ+zcSl1WqZPHkyLi4uzJs3j169epE/f36lYwmhuHr16lGvXr1PbmNpaYmjo2O0j128eJGdO3dy4sQJypQpA8CsWbOoX78+U6ZMibaneUhICCEhIaafAwICANDr9ej1+ng9j8j94rt/UkusfC1atODw4cPMmzeP33//PTGixVlMBdNP3W9hYYGZmdlnC7DRHUOr1eLv70/t2rUVeb6f86X87SUFNWcDyRdX8ckhRc1UomDBghw7dozOnTuzdu1aPDw8OHr0KAsWLMDGxkbpeEIIIYRIZlLUTHy1atWiXr167NixA09PT9atW6d0JCFShH379pE5c2bSp09PzZo1GT9+PBkyZADgyJEjpEuXzlTQBOOK3VqtlmPHjvHdd999dDwvLy/GjBnz0f27d+9O8LWPr69vgvZPaomRz8XFBUtLS548eUJYWBjh4eFR/ptY/w4PD4927s6EFJ8TwmAwUKJEiWQ/b2x9CX97SUXN2UDyxdabN2/ivI8UNVORtGnTsnr1aipUqMDgwYNZtmwZZ8+e5c8//yRfvnxKxxNCCCFEMpKiZtKYNGkSu3bt4s8//+Tw4cNUqlRJ6UhCqFrdunVxc3Mjd+7cXL9+nWHDhlGvXj2OHDmCTqfj0aNHZM6cOco+ZmZmODg48OjRo2iP6enpSf/+/U0/BwQE4OzsjKurK3Z2dvHKqdfr8fX1pXbt2pibm8frGEkpsfM1atQoEVK9E1O+iIgIwsLC0Ov1hIaGmgqa7//7w1t02yXkGFevXuXs2bPs2bOHYcOGJerzTgxf2t9eYlJzNpB8cRXZ6z4upKiZymg0Gvr370/p0qVp3rw5Z8+epUyZMvzxxx+J3nAJIYQQQp30ej1XrlwBpKiZ2L7++ms6duzIkiVLGDhwIP/8849M9yPEJ7Rs2dL076JFi1KsWDHy5s3Lvn37qFWrVryOaWlp+dG8nPBuWHNCJMYxklJKzBfd7yo53bp1i/z583Po0CGOHTtGlSpVFM0Tk5T4u1ULNWcDyReXHHElq5+nUtWrV+fUqVNUrFiRly9f0rhxY0aOHBlt938hhBCJ53OrwL5+/RoPDw+yZ8+OtbU1hQsXZv78+VG2qVGjxkcrxXbv3j0Zn4VI6a5fv45er8fW1hZnZ2el46Q6Y8eOxcbGhiNHjrB+/Xql4wiRouTJk4eMGTNy7do1ABwdHXny5EmUbcLCwvD3949xHk4h4iJbtmzUrFkTgAkTJiicRgiRmKSomYply5aNffv20atXLwDGjx9P/fr1efbsmcLJhBAi9YpcBXbOnDnRPt6/f3927tzJsmXLuHjxIn379sXDw4PNmzdH2a5r1648fPjQdJs0aVJyxBepROTQ80KFCqHVyse9xObk5MSAAQMAGDp0KKGhoQonEiLluHfvHs+ePSNr1qwAVKxYkRcvXuDn52fa5u+//yYiIoLy5csrFVOkMm5ubuh0Onbu3Bnlb00IkbLJ8PNUzsLCgpkzZ1K+fHm6du3K7t27KV26NOvWrYsyGbcQQojE8blVYA8fPkz79u2pUaMGAN26dWPBggUcP36cxo0bm7azsbGJUw+V1L4SrJqygLryRJfl3LlzgHEhweTOqPbXJrH07duXBQsWcO3aNebOnYu7u7uieeJKTVlAXXnUmEXNXr9+bep1CXDz5k3OnDmDg4MDDg4OjBkzhqZNm+Lo6Mj169cZPHgw+fLlo06dOoDxy5e6devStWtX5s+fj16vx8PDg5YtW0a78rkQ8eHo6EiLFi1YsWIFP//8M3/++afSkYQQiUCKml+I1q1bU7RoUdzc3Lh+/TpVqlRhzpw5dO7cWeloQgjxRalUqRKbN2+mU6dOODk5sW/fPq5cucL06dOjbLd8+XKWLVuGo6MjjRo1YuTIkZ9c0fVLWQlWTVlAXXnez/LXX38BoNVq2b59u+J5lJZUWdzc3Jg/fz6jRo0ic+bM2NraKponPtSUBdSVRw1Z4rMSbHI7efIk33zzjennyAV82rdvz7x58zh79iy///47L168wMnJCVdXV8aNGxdlnsXly5fj4eFBrVq10Gq1NG3alJkzZyb7cxGp2+DBg1mxYgXr16/nwoULMue0EKmAFDW/IMWKFePkyZO0a9eOLVu20KVLF44ePcqsWbOwsrJSOp4QQnwRZs2aRbdu3ciePTtmZmZotVoWLVpEtWrVTNu0atWKnDlz4uTkxNmzZxkyZAiXL1/+5Nx9qX0lWDVlUVue6LKMGjUKgCZNmlC/fn3F8yglqbO4urqyd+9eLl++zJkzZz47V9uX9Nqk5DxqyhKflWCTW40aNTAYDDE+vmvXrs8ew8HBgRUrViRmLCE+UrhwYdzc3Fi/fj1eXl788ccfSkcSQiRQkhc1vby8WL9+PZcuXcLa2ppKlSoxceJEChQoYNomODiYAQMGsGrVKkJCQqhTpw5z584lS5Yspm3u3LlDjx492Lt3L2nSpKF9+/Z4eXlhZiZ12bhIly4dGzdu5JdffmHEiBEsXryY06dP8+eff5IzZ06l4wkhRKo3a9Ysjh49yubNm8mZMycHDhzA3d0dJycnXFxcAOOQ9EhFixYla9as1KpVi+vXr5M3b95oj/ulrASrpiygrjyRWcLDw7l8+TJg/EJTqXxqfG2S4riTJk3i22+/ZdasWfTq1StWCzN9Ca9NfKkpjxqyKH1+IVKbYcOGsX79elauXMmYMWPIkyeP0pGEEAmQ5DPH79+/H3d3d44ePYqvry96vR5XV1cCAwNN2/Tr148tW7awdu1a9u/fz4MHD3BzczM9Hh4eToMGDQgNDeXw4cP8/vvv+Pj4mHohiLjRarUMGzaMnTt3kiFDBvz8/ChVqhS7d+9WOpoQQqRqQUFBDBs2jGnTptGoUSOKFSuGh4cHLVq0YMqUKTHuF7lQwvtzlgkRk5s3bxISEoKVlRW5cuVSOk6q16hRI6pVq0ZwcDAjRoxQOo4QQohPKF26NHXr1iU8PJyJEycqHUcIkUBJXtTcuXMnHTp0oEiRIhQvXhwfHx/u3LljWnHs5cuXLFmyhGnTplGzZk1Kly6Nt7c3hw8f5ujRo4BxPrALFy6wbNkySpQoQb169Rg3bhxz5syR1SYTwNXVFT8/P8qUKYO/vz9169ZlwoQJREREKB1NCCFSpchFez5cjVqn033yvffMmTMAppVihfiUyJXPCxYsiE6nUzhN6qfRaJg8eTIAf/zxh+n/VyGEEOo0fPhwAHx8fLh//77CaYQQCZHsY7dfvnwJGOdNAfDz80Ov15uG3IHxQ3iOHDk4cuQIFSpU4MiRIxQtWjTKcPQ6derQo0cPzp8/T8mSJT86T2pfBRYSJ4+TkxN///03/fr1Y8mSJYwYMYIjR47g7e1NunTpkjVLYlJTHjVlAXXlUVMWUFceNWUB9eRR+vyx8alVYHPkyEH16tUZNGgQ1tbW5MyZk/3797N06VKmTZsGwPXr11mxYgX169cnQ4YMnD17ln79+lGtWjWKFSum1NMSKUhkUVMWQEg+5cqVo0WLFqxevZpBgwaxe/duNBqN0rGEEEJEo0qVKlStWpWDBw8yZcqUjxZrFEKkHMla1IyIiKBv375UrlyZr7/+GoBHjx5hYWHxUQEtS5YsPHr0yLTN+wXNyMcjH4vOl7IKLCROnkaNGmFlZcXChQvZtm0bxYoVY+jQoXEetpYaX5vEoqYsoK48asoC6sqjpiygfJ6Uvgqsj48Pq1atwtPTk9atW+Pv70/OnDmZMGEC3bt3B8DCwoI9e/YwY8YMAgMDcXZ2pmnTpjKsVcSaFDWV8fPPP7N+/Xr27NnD7t27qVOnjtKRhBBCxGD48OHUrVuXBQsWMGzYMDJlyqR0JCFEPCRrUdPd3Z3//vuPQ4cOJfm5UvsqsEmRp379+rRt25YWLVpw+/ZtPD09mTt3Lq1bt072LAmlpjxqyqK2PGrKorY8asqipjypYRVYR0dHvL29Y3zc2dmZ/fv3J0U08YWQoqYy8uTJg4eHB9OnT2fQoEG4uLjI8H8hhFApV1dXSpcujZ+fHzNmzGDChAlKRxJCxEOyFTU9PDzYunUrBw4cIHv27Kb7HR0dCQ0N5cWLF1F6az5+/BhHR0fTNsePH49yvMePH5sei86XsgosJG6e8uXL4+fnR+vWrdm1axcdO3bEz8+PqVOnYmFhkaxZEoOa8qgpC6grj5qygLryqCkLKJ9HTa+FEGoUERHBxYsXASlqKmHEiBF4e3tz7tw5li5dSseOHZWOJIQQIhoajYbhw4fj5ubG7NmzGTRoUJymXxNCqEOSLxRkMBjw8PBgw4YN/P333+TOnTvK46VLl8bc3Jy//vrLdN/ly5e5c+cOFStWBKBixYqcO3eOJ0+emLbx9fXFzs5OPrAngQwZMrBt2zZGjhwJwOzZs6lRo4ZMoiyEEEKo3J07d3jz5g3m5ubkzZtX6ThfHAcHB9MCFCNGjEgRU2YIIcSX6ttvv6VIkSIEBAQwZ84cpeMIIeIhyYua7u7uLFu2jBUrVpA2bVoePXrEo0ePCAoKAsDe3p7OnTvTv39/9u7di5+fHx07dqRixYpUqFABMHYNL1y4MG3btuXff/9l165djBgxAnd392h7Y4qE0+l0jB07li1btmBvb8+RI0coVaoU+/btUzqaEEIIIWIQOfS8QIECmJkl+3qQAuPopJw5c/LgwQNZfEIIIVRMq9Xi6ekJwPTp0wkMDFQ4kRAirpK8qDlv3jxevnxJjRo1yJo1q+m2evVq0zbTp0+nYcOGNG3alGrVquHo6Mj69etNj+t0OrZu3YpOp6NixYq0adOGdu3aMXbs2KSO/8Vr2LAhJ0+epFixYjx58gQXFxemTp36yfnihBBCCKEMmU9TeVZWVvz8888ATJw4McpIIyGEEOrSokUL8uTJw7Nnz1i4cKHScYQQcZQsw8+ju3Xo0MG0jZWVFXPmzMHf35/AwEDWr1//0VyZOXPmZPv27bx584anT58yZcoU6YGQTPLly8eRI0do06YN4eHhDBw4kObNm/Pq1SulowkhhBDiPVLUVIeWLVtSunRpXr16xZgxY5SOI4QQIgZmZmYMHToUgClTphASEqJwIiFEXCR5UVOkDjY2NixdupQ5c+Zgbm7OunXrKFeunGkxAiGEEKnL1q1bqVatGuPHj6dz584MGDCAn3/+mQULFrBu3Tr27dvHuXPnePDggVwAqIgUNdVBq9UyZcoUABYsWMDly5cVTiSEECIm7dq1I1u2bDx48AAfHx+l4wgh4kC6OopY02g09OzZk5IlS9KsWTMuXbpEuXLl+O2332jSpInS8YQQQiSiGzducPToUQBOnjz52e1tbW3JkCHDR7eMGTNGe3+GDBmws7NDo9Ek9VP5YhgMBilqqkiNGjVo2LAhW7duZejQoWzYsEHpSEIIIaJhaWnJoEGD6Nu3LxMnTqRz584yKlSIFEL+TxVxVrFiRU6dOkXLli3Zt28fzZs3p1+/flSpUkXpaEIIIRJJ48aNcXR0ZP/+/Tg5OfHixQuePXsW5fa///0Pf39/IiIiCAwMJDAwkDt37sT6HGZmZjg4OHy2+BlZAH369Cm3bt1Cp9MRERFBREQE4eHhpn9H93NstonPMUJDQ/nvv/+4du0aGo0m3sd0cHCgV69eZMiQIcG/s/v37/Pq1St0Oh358+dP8PFEwk2cOJHt27ezceNGDh48aFoEUwghhLp07dqVCRMmcPPmTVauXEnbtm2VjiSEiAUpaop4yZIlC76+vgwbNozJkyczffp09uzZQ+3atTE3N1c6nhBCiATKlSsX2bJlw9LSkvr168f43h4REcHLly8/Kni+X/iM7v6goCDCwsJ48uTJF7+Qypo1a9i1axfOzs4JOk7klDD58+fHwsIiMaKJBCpcuDBdunRh4cKFDBo0iAMHDigdSQghRDRsbGzo168fw4YNw8vLi9atW6PVymx9QqidFDVFvJmZmTFp0iTKly9Phw4dOHfuHAMGDJBV44QQ4gui1WpJnz496dOnJ1++fLHeLygo6LOFzw+Lo69fv8bc3BytVmu66XQ6RX4GePz4MdmzZ8fMzCxex9NoNCxdupSLFy9SuXJldu/eTcGCBeP9u4gsasrQc3UZM2YMy5cv59ixY6xbtw5bW1ulIwkhhIhGz549mThxIhcvXmTDhg00bdpU6UhCiM+QoqZIsKZNm2JlZUWjRo1YtGgRVatWle76QgghPsna2prs2bOTPXv2WG2v1+vZvn37J3uNJqfEyvPjjz/i6urK5cuXqVKlCjt27KBs2bLxOpYUNdXJ0dGRgQMHMmbMGEaOHMnEiROVjiSEECIa9vb29OrVi/HjxzNhwgTc3Nxk7m8hVE76U4tE4erqSvPmzQHjBdq5c+cUTiSEEEKoX44cOTh48CBlypTh2bNnfPPNN+zZsydex5KipnoNHDgQR0dHbty4waZNm5SOI4QQIgZ9+vTBxsaG06dPs3PnTqXjCCE+Q4qaItE0b94cFxcXgoKCaNasGa9evVI6kiqcP3+es2fPEh4ernQUIYQQKpQpUyb+/vtvatWqRWBgIPXr12ft2rVxOoasfK5uadKkYcKECQCsWLGCLVu2KJxICCFEdDJmzEj37t0BmDBhAgaDQeFEQohPkaKmSDQ6nY7ff/+d7Nmzc+XKFTp37vzFNwLHjx+nYsWKjBo1irx58zJ06FAuXbqkdCwhhBAqkzZtWrZt20azZs3Q6/W0aNGC+fPnx3r/58+f8+LFC7RaLV999VUSJhXx1bFjRzp37kxERARt27bl5MmTSkcSQggRjQEDBmBhYcE///wjC7wJoXJS1BSJKlOmTKxZswYzMzPWrl3LrFmzlI6kmDt37tC4cWOCg4PRarU8ePCAiRMnUqhQISpWrMjChQt5+fKl0jGFEEKohKWlJatWraJ79+4YDAZ69OjBuHHjYvUF4d27dwHIkycP1tbWSR1VxINGo2HmzJmULFmSN2/e0LBhQ27fvq10LCGEEB9wcnKiU6dOAKZe9kIIdZKipkh0FStWZMqUKYDxW64jR44onCj5vXr1ikaNGvH48WOKFi2Kj48Pq1atomHDhuh0Oo4ePcqPP/6Io6MjrVu3Zs+ePURERCgdWwghhMJ0Oh1z585l5MiRAIwaNYo+ffp8to2ILGoWKVIkyTOK+DM3N2fQoEF8/fXXPH78mPr16/PixQulYwkhhPjA4MGD0el0+Pr6cuLECaXjCCFiIEVNkSR69+7N999/T1hYGM2bN+fp06dKR0o24eHhtGrVirNnz5IlSxY2bNiAnZ0dbm5ubNmyhbt37zJp0iQKFSpEcHAwK1asoHbt2uTKlYuRI0dy/fp1pZ+CEEIIBWk0GsaOHcuvv/4KwKxZs2jbti16vT7Gfe7duwfIfJopgY2NDZs2bcLJyYkLFy7QtGlTQkNDlY4lhBDiPblz56Z169aA9NYUQs2kqCmShEajYfHixXz11Vfcu3ePNm3afDEL5QwePJitW7diZWXFpk2byJEjR5THs2bNyqBBgzh//jzHjh2jR48epEuXjrt37zJ+/Hjy5ctHtWrV8Pb25vXr1wo9CyGEEErr3bs3y5cvx8zMjBUrVvDtt98SGBgY7baRPTWlqJkyODs7s23bNtKkScPff//Njz/++MXPQy5SrgMHDtCoUSOcnJzQaDRs3Lgxxm27d++ORqNhxowZUe739/endevW2NnZkS5dOjp37iyfg4XiPD090Wg0bNq0if/++0/pOEKIaEhRUyQZOzs71q1bh7W1Nbt372b8+PFKR0pyCxcuZNq0aQD8/vvvlC9fPsZtNRoN5cqVY+7cuTx8+JCVK1dSp04dNBoNBw8epFOnTjg6OtKhQwf279+fKoenh4aGEhQUpHQMIYRQrVatWrF582asra3ZsWMHtWvXxt/f/6PtpKiZ8pQoUYLVq1ej1Wrx8fH5Ij4nidQpMDCQ4sWLM2fOnE9ut2HDBo4ePYqTk9NHj7Vu3Zrz58/j6+vL1q1bOXDgAN26dUuqyELESsGCBWnatCkAXl5eCqcRQkTHTOkAInUrWrQoCxYsoF27dowZM4YKFSpQp04dpWMlib/++gt3d3cAxo4dS/PmzWO9r5WVFS1btqRly5bcu3ePP/74A29vb65evcrvv//O77//Tp48eWjfvj3t27cnZ86cSfU0ks2ePXv44YcfiIiIoHLlyjg7OysdSQghVKlevXr89ddfNGjQgCNHjlCtWjV27dpFtmzZAHj69CkBAQFoNBoKFiyocFoRF/Xr12fOnDn06NGDUaNGkTt3btq0aaN0LCHipF69etSrV++T29y/f59evXqxa9cuGjRoEOWxixcvsnPnTk6cOEGZMmUA47Qb9evXZ8qUKdEWQUNCQggJCTH9HBAQAIBer//kVB2fErlffPdPapIv/hKSbdCgQaxbt45Vq1YxYsQI8uXLl9jxVP3agbrzqTkbSL64ik8OKWqKJNe2bVsOHTrEwoULad26NadPn051BaxLly7RtGlTwsLCaN26NSNGjIj3sbJnz46npydDhw7l8OHD+Pj4sHr1am7cuMFPP/3ETz/9RM2aNenYsSNubm7Y2Ngk4jNJegaDgYkTJzJ8+HBT79MRI0bw+++/K5xMCCHUq2LFihw8eBBXV1fOnz9P5cqV2b17N1999RUXL14EIFeuXCmuTRDG4bg3btxg8uTJdOrUCWdnZ6pXr650LCESTUREBG3btmXQoEHRLmZ25MgR0qVLZypoAri4uKDVajl27BjffffdR/t4eXkxZsyYj+7fvXt3gt8HfX19E7R/UpN88RffbKVKleLUqVP06dPH1IklKaj5tQN151NzNpB8sfXmzZs47yNFTZEsfv31V06ePMmpU6do3rw5+/fvx8LCQulYieLZs2c0bNiQly9fUqlSJRYvXoxGo0nwcTUaDZUrV6Zy5crMmDGD9evX4+Pjw99//2269ezZkxYtWtCxY0cqVqyYKOdNSi9fvqRDhw6muZYaNmzI1q1bWbp0KT169KBChQrKBhRCCBUrUqQI//zzD66urly9epUqVaqwY8cOU1GzUKFCCicU8fXLL79w8+ZN1q1bR5MmTThy5Ij0uhWpxsSJEzEzM6N3797RPv7o0SMyZ84c5T4zMzMcHBx49OhRtPt4enrSv39/088BAQE4Ozvj6uqKnZ1dvHLq9Xp8fX2pXbs25ubm8TpGUpJ88ZfQbOnSpaNGjRrs27eP+fPnJ3oHHTW/dqDufGrOBpIvriJ73ceFFDVFsrCysmLdunWUKlWKo0ePMmjQINOqrilZaGgobm5uXL9+nVy5crFhwwasrKwS/Ty2tra0bduWtm3bcuvWLZYuXYqPjw83b95k8eLFpkWZOnToQLt27UxDEtXkv//+w83NjatXr2JhYcGcOXNo3769aVilh4cHx44dQ6fTKR1VCCFUK1euXBw6dIh69epx6tQpvvnmG4oWLQogRbAUTKvVsnTpUu7fv8+RI0eoX78+R48e/ajQI0RK4+fnx6+//sqpU6cS9ct3S0tLLC0tP7rf3Nw8wRfmiXGMpCT54i++2apXr0716tXZv38/v/76a5Jdx6r5tQN151NzNpB8cckRV7JQkEg2uXPnZunSpQDMnDmTNWvWKJwoYQwGAz/++CMHDhwgbdq0bN26NVkuPnLlysWoUaO4du0a+/bto3379tjY2HDlyhWGDRtGjhw5qFu3LqtXryY4ODjJ88TGqlWrKF++PFevXiVHjhwcOnSILl26AMbpCezs7PDz8+O3335TOKkQQqhf5syZ2bt3LzVr1uTVq1ccPnwYkEWCUjpra2s2bdpEnjx5uHnzJo0bN47XMCwh1OTgwYM8efKEHDlyYGZmhpmZGbdv32bAgAHkypULAEdHR548eRJlv7CwMPz9/XF0dFQgtRAfGz58OACLFi366O9VCKEcKWqKZNWoUSOGDh0KQOfOnbl8+bLCieJv0qRJ+Pj4oNVqWbNmTbRzBCUlrVZL9erV8fHx4dGjR/z2229UrVqViIgIdu3aRcuWLcmaNSs9e/bkxIkTGAyGZM0Hxu7s/fr144cffuDNmze4uLjg5+dH2bJlTdukS5eOUaNGAcahRNGt6iuEECIqOzs7tm3bhpubm+k+6amZ8mXKlIkdO3bg4ODAsWPHaNOmDeHh4UrHEiLe2rZty9mzZzlz5ozp5uTkxKBBg9i1axdgnDP4xYsX+Pn5mfb7+++/iYiIoHz58kpFFyIKFxcXypYtS1BQENOnT1c6jhDiLSlqimQ3btw4atSowevXr2natCmBgYFKR4qz9evXm4qzv/76K3Xr1lU0T9q0aenYsSMHDhzg6tWrjBgxAmdnZ168eMG8efMoV64cRYsWZcqUKTHOTZTYHj16RK1atZgxYwZgLFju3LmTjBkzfrRtjx49KFKkCM+ePTMVOIUQQnyalZUVa9aswdPTk1q1alG6dGmlI4lE8NVXX7Fx40YsLCzYsGEDgwcPVjqSEJ/0+vVrU8ES4ObNm5w5c4Y7d+6QIUMGvv766yg3c3NzHB0dKVCgAGCcD7hu3bp07dqV48eP888//+Dh4UHLli2jXflcCCVoNBpTb805c+bw/PlzhRMJIUCKmkIBZmZmrFy5EkdHR86fP0/37t0V6UUYX35+frRp0wYADw8PPDw8FE4UVb58+Rg3bhw3b97E19eXVq1aYWVlxfnz5xk0aBC5c+dm/PjxbNiwgdDQ0CTJ8M8//1CqVCkOHjyInZ0dGzZs4Oeff45xvkxzc3NmzZoFwLx58/j333+TJJcQQqQ2Op2OMWPG0KtXL5mTOBWpWrUq3t7eAEybNo05c+YonEiImJ08eZKSJUtSsmRJAPr370/JkiXj9EX18uXLKViwILVq1aJ+/fpUqVKFhQsXJlVkIeKlUaNGfP3117x69YoZM2YQHBycoq5jhUiNZKEgoQhHR0dWr15NzZo1WbZsGVWqVOHHH39UOtZn3b9/n8aNGxMUFESdOnVUPfRAp9Ph4uKCi4sLL1++ZPXq1Xh7e3P06FFOnjxJixYtyJAhA61bt6Zjx46UKFEiwec0GAzMmjWLAQMGEBYWRpEiRVi/fj1fffXVZ/f95ptv+P7771m7di29evVi//79ql/NXQghhEgqrVq14tatWwwfPpzevXuTM2dOGjZsqHQsIT5So0aNOBV2bt269dF9Dg4OrFixIhFTCZH4tFotw4YNo1WrVowdO5axY8ei0WiwsbH56GZraxvr+y0sLFLk6EUh1ECKmkIx1apV4+eff2bIkCH07t2bMmXKqHroXGBgII0aNeLBgwcULlyY1atXY2aWMv4Xsre3p1u3bnTr1o1z584xevRojhw5wsOHD5k5cyYzZ86kePHidOzYkdatW0c7RPxzAgMD6datm+kDaYsWLVi8eDFp0qSJ9TGmTJnCtm3bOHjwICtXrqRVq1ZxziGE0g4cOMDkyZPx8/Pj4cOHbNiwgSZNmpgef/36NUOHDmXjxo08e/aM3Llz07t3b7p3727aJjg4mAEDBrBq1SpCQkKoU6cOc+fOJUuWLAo8IyGEUjw9Pblx4wZLliyhRYsWHDx4kFKlSikdSwghvljNmzdnwYIF7N+/HzB26ggMDExwUTJLliw0b95cFStQC5GSpIyKjEi1Bg0axOHDh9m0aRPNmjXj1KlTpE+fXulYH4mIiKBNmzacPn2ajBkzsnXrVuzt7ZWOFS8FCxakXbt2LFu2jH379uHt7c2mTZv4999/6du3L4MGDaJhw4Z07NiRunXrxqphvXbtGm5ubpw7dw6dTseUKVPo06dPnHta5siRg2HDhjFixAgGDRpEo0aNSJs2bXyfqhCKCAwMpHjx4nTq1CnKIi6R+vfvz99//82yZcvIlSsXu3fvpmfPnjg5OdG4cWMA+vXrx7Zt21i7di329vZ4eHjg5ubGP//8k9xPRwihII1Gw7x587hz5w6+vr40bNiQo0ePkiNHDqWjCSHEF0mn07Fv3z7CwsIICgrizZs3vHnzhsDAQNO/43JfYGAgx48f5/Hjx6xatYrOnTsr/RSFSFGkqCkUpdFo8PHxoXTp0ty4cYN27dqxadMmtFp1Tfc6bNgw06T9GzduJHfu3EpHSjAzMzPq1atHvXr18Pf3Z+XKlXh7e+Pn58eGDRvYsGEDWbJkoU2bNnTs2DHG1d03b95Mu3btePnyJVmyZGHt2rVUrVo13rkGDBjAb7/9xo0bNxg/fjwTJ06M97GEUELk/1cxOXz4MO3bt6dGjRoAdOvWjQULFnD8+HEaN27My5cvWbJkCStWrKBmzZoAeHt7U6hQIY4ePUqFChWiPW5ISAghISGmnwMCAgDQ6/Xo9fp4PZfI/eK7f2JSUxZQVx41ZQF15VFTFoh/nhUrVlCjRg3Onz9P/fr12bdvX4K/XE0tr01SUGMWIYS6mJmZkTZt2kTpgPHLL7/g6enJpEmT6NChg8yRLUQcSFFTKC5dunSsW7eOihUrsnXrVqZMmaKqlT69vb1NhbXffvuNypUrK5wo8Tk4OODu7o67uzvnzp3Dx8eHZcuW8fjxY6ZOncrUqVMpU6YMHTt2pGXLljg4OBAeHs5PP/3EhAkTAKhcuTJr1qxJ8CqVVlZW/PrrrzRq1Ijp06fTqVMn0+qYQqQGlSpVYvPmzXTq1AknJyf27dvHlStXTHP0+vn5odfrcXFxMe1TsGBBcuTIwZEjR2Isanp5eTFmzJiP7t+9ezc2NjYJyuzr65ug/ROTmrKAuvKoKQuoK4+askD88vTt25fBgwdz/vx5XFxcGDlyZKJMg5MaXpukooYsb968UTqCECKJdevWjfHjx3PlyhU2btxI06ZNlY4kRIohRU2hCiVLlmTWrFl069YNLy8v+vbti4WFhdKx2L9/v2kBo5EjR9K6dWuFEyW9okWLMnXqVH755Rd27NiBt7c3W7du5eTJk5w8eZJ+/frRpEkT/P392bNnDwC9e/dm8uTJifY7a9iwIfXr12f79u306dOHHTt2yKJBItWIfK/Lnj07ZmZmaLVaFi1aRLVq1QB49OgRFhYWpEuXLsp+WbJk4dGjRzEe19PTk/79+5t+DggIwNnZGVdXV+zs7OKVVa/X4+vrS+3atRWf40lNWdSWR01Z1JZHTVkSI0+xYsWoWbMm//77L48ePaJbt26KZUlsasqjpiyRve6FEKlX2rRpadCgAWvWrOHnn3/Gzc1Nrn2EiCUpagrV6NSpEyNHjuTx48fs3buXOnXqKJrn6tWruLm5odfrad68OaNHj1Y0T3IzNzencePGNG7cmKdPn7J8+XK8vb05e/Ysa9asAcDa2ppFixYlSbF3xowZ7Nmzh127drF582a+/fbbRD+HEEqYNWsWR48eZfPmzeTMmZMDBw7g7u6Ok5NTlN6ZcWVpaYmlpeVH95ubmyf4ojwxjpFY1JQF1JVHTVlAXXnUlAXin6dcuXKMGzeO/v37s2TJEtzd3RXLklTUlEcNWZQ+vxAieTRs2JCtW7dy6tQpfH19cXV1VTqSEClCskxceODAARo1aoSTkxMajYaNGzdGefzx48d06NABJycnbGxsqFu3LlevXo2yTXBwMO7u7mTIkIE0adLQtGlTHj9+nBzxRTLR6XR89913APz5558KpwEPDw/8/f0pV64cPj4+qpvnMzllypSJvn37cubMGU6dOkWvXr2oV68eR48eTbLeq/nz52fAgAGAcdGUoKCgJDmPEMkpKCiIYcOGMW3aNBo1akSxYsXw8PCgRYsWTJkyBQBHR0dCQ0N58eJFlH0fP36Mo6OjAqmFEGrSrl07LCwsOH36NH5+fkrHEUIIkQjs7Ozo0qULAD///LPCaYRIOZKlShO5EuycOXM+esxgMNCkSRNu3LjBpk2bOH36NDlz5sTFxYXAwEDTdv369WPLli2sXbuW/fv38+DBg2hXlRUpW+T8IRs3biQ8PFyxHI8fPzYNrV6+fDnW1taKZVETjUZDyZIlmTlzJtu3b6dYsWJJer5hw4aRLVs2bt68aSr4CJGSRS7a8+GXJDqdjoiICABKly6Nubk5f/31l+nxy5cvc+fOHSpWrJiseYUQ6pMhQwbT56VFixYpnEYIIURi6du3L+bm5uzfv5/Dhw8rHUeIFCFZipr16tVj/Pjxpl5477t69SpHjx5l3rx5lC1blgIFCjBv3jyCgoJYuXIlgGkl2GnTplGzZk1Kly6Nt7c3hw8f5ujRo8nxFEQyqV69OunTp+fp06ccPHhQsRzr168nIiKCsmXLki9fPsVyfOnSpEljKmb+/PPP3L59W+FEQnze69evOXPmDGfOnAHg5s2bnDlzhjt37mBnZ0f16tUZNGgQ+/bt4+bNm/j4+LB06VJTG2lvb0/nzp3p378/e/fuxc/Pj44dO1KxYsUYFwkSQnxZunbtChhXRX+/E4AQQoiUK3v27LRr1w4wLgAphPg8xefUDAkJAYwrHkfSarVYWlpy6NAhunTpEq+VYENCQkzHhneTbEf2komPyP3iu39iU1OexMzSqFEjli5dyrp16+K90nhC86xatQow9hxN6HNS0+8J1JUnNlnc3NyoVq0aBw4coF+/fqxevVrRPMlFTVlAPXmUPn9snDx5km+++cb0c+TiPe3bt8fHx4dVq1bh6elJ69at8ff3J2fOnEyYMIHu3bub9pk+fTparZamTZsSEhJCnTp1mDt3brI/FyGEOtWoUYN8+fJx7do11qxZQ8eOHZWOlCBhYWGsW7dOFsYQQnzxhgwZYlqo9ezZs0k+Mk6IlE7xomZkcdLT05MFCxZga2vL9OnTuXfvHg8fPgTitxKsl5cXY8aM+ej+3bt3Y2Njk6DMvr6+Cdo/sakpT2JkcXZ2BoyFxVq1aiVoLsv45PH39zf1EnVwcGD79u3xPn9CsyQlNeX5XBY3NzcOHTrEhg0b8PLyonjx4ormSU5qygLK53nz5o2i54+NGjVqYDAYYnzc0dERb2/vTx7DysqKOXPmRDttixBCaDQaOnfujKenJ4sWLUrxRc1ffvmFkSNHUrJkSZleSgjxRcufPz/NmjVjzZo1/PLLL6xYsULpSEKomuJFTXNzc9avX0/nzp1xcHBAp9Ph4uJCvXr1PnlR+Dmenp6m3jFg7Knp7OyMq6srdnZ28TqmXq/H19eX2rVrq2IlQjXlScwstWrVYubMmTx79oxMmTJRvnz5ZM0zd+5cDAYD5cuXp0OHDnE+d2JmSQpqyhOXLFevXmXOnDmsXLmSgQMHJkn2lPrafEl5InvdCyHEl65Dhw6MHDmSI0eOcP78eYoUKaJ0pHgJCwtj/vz5AJw+fZr169fTsmVLhVMJIYRyhg4dypo1a1i9ejXjxo0jb968SkcSQrUUL2qCcVGEM2fO8PLlS0JDQ02FrDJlygBRV4J9v7fmp1aCtbS0xNLS8qP7zc3NE3xBnhjHSExqypNYr2/Dhg1ZuXIlmzZtokqVKsmaZ926dQC0bNkyUV9XNf2eQF15YpNl3LhxrF69mkuXLjF//vwoX1ookSe5qCkLKJ9HTa+FEEIoydHRkUaNGrFhwwYWLVrEjBkzlI4UL9u2beP+/fumnwcOHEiDBg1ImzatgqmEEEI5JUuWpF69euzYsYNJkyaxYMECpSMJoVrJslBQbNnb25MpUyauXr3KyZMn+fbbbwFZCfZLFDn0aP369QnqsRtX9+/f59ChQwA0a9Ys2c4rPi99+vT88ssvAIwePTrGqSeEEEKIL0XkgkF//PEHwcHBCqeJn8hemu7u7jg6OnL//v1op5ASQogviaenJwA+Pj48ePBA4TRCqFeyFDU/tRIswNq1a9m3bx83btxg06ZN1K5dmyZNmuDq6grISrBfonr16mFtbc2NGzf4999/k+28a9euBaBy5cpkz5492c4rYqdjx46ULVuWV69eMWTIEKXjCCGEEIpydXUlR44c+Pv7s379eqXjxNmNGzfYtWsXAB4eHqYi7YwZMzh37pyS0YQQQlFVq1alSpUqhIaGMn36dKXjCKFayVLUPHnyJCVLlqRkyZKAcSXYkiVLMmrUKAAePnxI27ZtKViwIL1796Zt27asXLkyyjGmT59Ow4YNadq0KdWqVcPR0TFFfngTsWNra0vdunUB+PPPP5PtvGvWrAGgRYsWyXZOEXtarZZZs2YBsHTpUg4fPqxwIiGEEEI5Op2OTp06AbBo0SKF08TdokWLMBgMuLq6kjdvXkqXLk2TJk0IDw+nZ8+eyTpaRwgh1Cayt+a8efPw9/dXOI0Q6pQsRc3IlWA/vPn4+ADQu3dv7t69S2hoKLdv32bcuHFYWFhEOUbkSrD+/v4EBgayfv36GOfTFKlD06ZNgeQrat65c4cjR46g0WhM5xbqU758edMFXK9evQgPD1c4kRBCCKGcTp06odFo2LdvH1evXlU6TqyFhoayZMkSALp37266f+rUqdja2nLo0CGWLl2qVDwhhFBcvXr1KF68OIGBgcyePVvpOEKokqrm1BTifQ0bNsTc3JyLFy9y8eLFJD9f5NDzatWq4eTklOTnE/Hn5eWFvb09p06dYvHixUrHEUIIIRTj7OxsGt0SWSRMCTZs2MDTp09xcnKiYcOGpvudnZ1No7kGDRokvZOEEF8sjUZj6q3566+/8vr1a4UTCaE+UtQUqmVvb4+LiwtAskw1sHr1agCaN2+e5OcSCZM5c2bTIgLDhw+XCx4hhBBftMi5KH18fNDr9QqniZ3IBYK6dOmCubl5lMf69u1L4cKFefr0KcOHD1cinhBCqEKzZs3Ily8f/v7+KXKaESGSmhQ1haol1xD0mzdvcuLECbRarQw9TyHc3d35+uuvefbsGSNHjlQ6jhBCCKGYhg0bkiVLFh4/fsyWLVuUjvNZly5dYt++fWi1Wrp06fLR4xYWFsydOxeABQsWcOLEieSOKIQQqqDT6UwLpE6ZMoWQkBCFEwmhLlLUFKr27bffotPpOH36NDdu3Eiy80QOPa9RowZZsmRJsvOIxGNmZmZaNGj+/PmcOXNG2UBCCCGEQszNzenYsSOQMhYMWrhwIWAsxjo7O0e7TfXq1Wnbti0Gg4EePXrIHNpCiC9W27ZtyZYtGw8ePOCPP/5QOo4QqiJFTaFqGTNmpHr16kDSDkGPHHouq56nLDVq1KB58+ZERETQqlUrbt++rXQkIYQQQhGRPR537dql6vYwKCjItFjo+wsERWfy5MnY29vj5+fHggULkiGdEEKoj6WlJQMGDABg4sSJ8iWPEO+RoqZQPTc3NyDphqBfu3aNU6dOodPp+O6775LkHCLpTJ06laxZs3Lx4kXKly/PsWPHlI4khBBCJLu8efNSs2ZNDAYDv/32m9JxYrR27VqeP39Orly5cHV1/eS2WbJkYcKECQAMGzaMx48fJ0dEIYRQna5du+Lg4MC1a9dYt26d0nGEUA0pagrViyw0Hj16lPv37yf68desWQNAzZo1yZQpU6IfXySt7Nmzc+zYMYoXL87jx4+pXr26qeetEEII8SWJXDDot99+U21PnsgFgrp164ZOp/vs9t27d6dUqVK8fPmSwYMHJ3U8EQ8HDhygUaNGODk5odFo2LhxY5THR48eTcGCBbG1tSV9+vS4uLh89CW0v78/rVu3xs7OjnTp0tG5c2dZ6VmI96RJk4Y+ffoA4OXlhcFgUDiREOogRU2hek5OTlSqVAmADRs2JPrxI4uaMvQ85XJ2dubQoUM0atSIkJAQWrZsydixY6WxF0II8UVp0qQJDg4O3Lt3j127dikd5yP//vsvR44cwczMzDQH6OfodDrmzZuHRqNh6dKl7N+/P4lTirgKDAykePHizJkzJ9rHv/rqK2bPns25c+c4dOiQqZfu06dPTdu0bt2a8+fP4+vry9atWzlw4ADdunVLrqcgRIrg4eFBmjRp+Pfff9mxY4fScYRQBSlqihQhqVZBv3z5Mv/++y9mZmYy9DyFS5MmDRs2bKB///4A/PTTT7Rt25bg4GCFkwkhhBDJw8rKinbt2gHqXDAocl7M7777DkdHx1jvV65cOVOBy93dHb1enyT5RPzUq1eP8ePHx/hZulWrVri4uJAnTx6KFCnCtGnTCAgI4OzZswBcvHiRnTt3snjxYsqXL0+VKlWYNWsWq1at4sGDB8n5VIRQNQcHB9NcxD///LPCaYRQBzOlAwgRG25ubgwYMIADBw7w9OnTRBsmHtlLs3bt2jg4OCTKMYVydDodU6dOpUCBAri7u7N8+XJu3rzJhg0byJw5s9LxhBBCiCTXtWtXZsyYwZYtW3j48CFZs2ZVOhIAr169Mq3a+7kFgqLz888/8+eff3L+/Hl+/fVXBg4cmNgRRTIIDQ1l4cKF2NvbU7x4cQCOHDlCunTpKFOmjGk7FxcXtFotx44di7ZYGhISQkhIiOnngIAAAPR6fbyL3pH7qbVoLvniT83ZIG75PDw8mDlzJv/88w979+6lSpUqSR1P1a+fmrOB5Iur+OSQoqZIEXLlykWpUqU4deoUGzduNM0ZlVCRcy82b948UY4n1KFbt27kzZuXZs2acfjwYcqXL8+2bdsoXLiw0tGEEEKIJFW4cGEqVarE4cOH8fHxwdPTU+lIAKxcuZLXr1/z1Vdf8c0338R5fwcHByZPnkzHjh0ZPXo0LVq0wNnZOQmSiqSwdetWWrZsyZs3b8iaNSu+vr5kzJgRgEePHn305bOZmRkODg48evQo2uN5eXkxZsyYj+7fvXs3NjY2Ccrq6+uboP2TmuSLPzVng9jn++abb9i1axcDBw5k1KhRSZzqHTW/fmrOBpIvtt68eRPnfaSoKVKMpk2bcurUKdavX58oRc3z589z/vx5zM3NadKkScIDClWpVasWR44coWHDhly/fp2KFSuyZs0a6tSpo3Q0IYQQIkl17dqVw4cPs3jxYoYMGYJWq+yMUwaDwbRA0I8//ohGo4nXcdq1a8eSJUs4dOgQ/fr1kxWAU5BvvvmGM2fO8L///Y9FixbRvHlzjh07Fu+RNJ6enqYph8DYU9PZ2RlXV1fs7OzidUy9Xo+vry+1a9fG3Nw8XsdISpIv/tScDeKer0CBAhQpUoRTp06RNWtWSpYsqap8yUnN2UDyxVVkr/u4kKKmSDGaNm3K8OHD+euvv3jx4gXp0qVL0PHWrl0LQJ06dRJ8LKFOBQsW5NixY7i5uXHgwAEaNGjAzJkz6dmzp9LRhBBCiCTz/fff06dPH27cuMHevXupVauWonlOnDjB6dOnsbS0pH379vE+jlarZe7cuZQsWZI///yTnTt3Urdu3URMKpKKra0t+fLlI1++fFSoUIH8+fOzZMkSPD09cXR05MmTJ1G2DwsLw9/fP8a5Vy0tLbG0tPzofnNz8wRfmCfGMZKS5Is/NWeD2OcrWLAgLVu2ZMWKFUyZMsU0pVpSU/Prp+ZsIPnikiOuZKEgkWJEfiOl1+vZsmVLgo5lMBhMQ89l1fPULUOGDOzevZv27dsTHh6Ou7s7vXv3JiwsTOloQgghRJKwtbWldevWgDoWDIrspdm8eXMyZMiQoGMVLVqUPn36AMa55WRBwJQpIiLCNCdmxYoVefHiBX5+fqbH//77byIiIihfvrxSEYVQtaFDhwKwbt06rly5onAaIZQjRU2RoiTWKuj//fcfly5dwtLSksaNGydGNKFilpaWeHt74+XlBcCsWbNo3LhxvLq3CyGEEClBly5dANiwYQP/+9//FMvx/PlzVq1aBcRvgaDojB49GicnJ65fv87EiRMT5Zgi/l6/fs2ZM2c4c+YMADdv3uTMmTPcuXOHwMBAhg0bxtGjR7l9+zZ+fn506tSJ+/fv8/333wNQqFAh6tatS9euXTl+/Dj//PMPHh4etGzZEicnJwWfmRDqVbRoURo2bIjBYGDSpElKxxFCMVLUFCmKm5sbALt27eL169fxPk5kL826devGe94dkbJoNBqGDh3KunXrsLa2ZseOHVSuXJnbt28rHU0IIYRIdKVKlaJUqVKEhoaaVh1Xwh9//EFQUBBFixalYsWKiXLMtGnTMn36dMC4YMy1a9cS5bgifk6ePEnJkiVN8/r179+fkiVLMmrUKHQ6HZcuXaJp06Z89dVXNGrUiGfPnnHw4EGKFCliOsby5cspWLAgtWrVon79+lSpUoWFCxcq9ZSESBGGDRsGwNKlS7l3757CaYRQhhQ1RYpSrFgx8ubNS3BwMDt27IjXMQwGg2neERl6/uVp2rQpBw4cIGvWrPz333+UK1eOo0ePKh1LCCGESHSRCysuWrQIg8GQ7Oc3GAwsWLAAMPbSjO8CQdH5/vvvqV27NiEhIfTq1UuR5yeMatSogcFg+Ojm4+ODlZUV69ev5/79+4SEhPDgwQM2bdpE2bJloxzDwcGBFStW8OrVK16+fMlvv/1GmjRpFHpGQqQMFStWpHr16uj1eqZOnap0HCEUIUVNkaJoNJoED0E/c+YMV69excrKioYNGyZmPJFClClThuPHj1OiRAmePHlCjRo1TEPjhBBCiNSiVatW2NjYcPHiRQ4fPpzs5z906BAXLlzA1taWNm3aJOqxNRoNs2fPxsLCgp07d7Jhw4ZEPb4QQqQEkb01Fy5cqOhUI0IoRYqaIsWJLGpu27YtXpPDR/bSbNCgAWnTpk3UbCLlyJ49OwcPHqRx48aEhITwww8/MH78eOnpIYQQItWws7MzjUpRYsGgyAWCWrVqlSTT/Xz11VcMGTIEgD59+iRoaiIhhEiJateuTalSpXjz5g0zZ85UOo4QyU6KmiLFKVOmDNmzZ+f169fs3r07Tvu+v+p58+bNkyKeSEHSpEnD+vXrGThwIABjx45l/PjxPHjwQOFkQgghROKIHIK+Zs0aXrx4kWznffr0KevWrQPgxx9/TLLzeHp6kjt3bu7du8fYsWOT7DxCCKFGGo3G1Ftz1qxZshCq+OJIUVOkOFqt1rRg0Pr16+O0r5+fHzdv3sTGxoYGDRokRTyRwuh0OiZPnsyiRYuwsLDAz8+PEiVK8Mcff0ivTSGEEClehQoVKFKkCEFBQaxYsSLZzuvj40NoaChlypShdOnSSXYea2trU++k6dOnc/78+SQ7lxBCqNF3331HgQIFePHihWkeYyG+FFLUFClS5BD0zZs3o9frY71f5NDzhg0bYmtrmyTZRMrUpUsXjh8/Tr58+Xjx4gXt2rWjSZMmPHr0SOloQgghRLxpNBq6dOkCJN+CQREREVEWCEpqDRs2pEmTJoSFhdGzZ0/5UlII8UXRarUMHToUgGnTpsVrijYhUiopaooUqXLlymTOnJnnz5+zd+/eWO0jq56LzylcuDATJ05k7NixmJubs3nzZooUKcLKlSvlAknE2oEDB2jUqBFOTk5oNBo2btwY5XGNRhPtbfLkyaZtcuXK9dHjv/zySzI/EyFEatG2bVssLCw4c+YMfn5+SX6+v/76i+vXr2NnZ0fLli2T/HwAM2bMwMbGhgMHDrBs2bJkOacQQqhFq1atcHZ25tGjR/j4+CgdR4hkI0VNkSLpdDq+++47IParoB8/fpzbt29ja2tLvXr1kjKeSMF0Oh1Dhw7Fz8+PkiVL4u/vT6tWrWjWrBlPnjxROp5IAQIDAylevDhz5syJ9vGHDx9Guf32229oNBpTD/RIY8eOjbJdr169kiO+ECIVypAhg+k9ZvHixUl+vsgFgtq1a5dsI2Ny5szJyJEjARg4cCDPnz9PlvMKIYQaWFhYMGjQIAAmTZpEWFiYwomESB5mSgcQIr7c3NxYsGABGzduZO7cueh0uk9uH7lAUOPGjbG2tk6OiCIFK1q0KMeOHcPLy4tx48axfv16Dhw4wNy5c/n++++VjidUrF69ep/84sTR0THKz5s2beKbb74hT548Ue5PmzbtR9t+SkhICCEhIaafIyeK1+v1cZqm432R+8V3/8SkpiygrjxqygLqyqOmLKBsno4dO7Jy5UpWrFiBl5cXlpaWSZLlwYMHbNq0CYBOnTrF+viJ8dr06tULHx8fLl++zLBhw+K9ErCa/m7UkEEIkTJ07tyZcePGcfPmTWbPnk3v3r3RaqUfm0jdpKgpUqxvvvmG9OnT8+TJE/755x+qVasW47YRERGsXbsWkKHnIvbMzc0ZNWoUjRs3pn379pw9e5bmzZvTokULZs+eTcaMGZWOKFK4x48fs23bNn7//fePHvvll18YN24cOXLkoFWrVvTr1w8zs5ibbS8vL8aMGfPR/bt378bGxiZBOX19fRO0f2JSUxZQVx41ZQF15VFTFlAmj8FgIGvWrDx8+JBRo0bh4uKSJFlWr15NeHg4hQoV4s6dO9y5cydO+yc0T5s2bRg5ciQLFiwgX7585MuXL97HUsPfzZs3b5SOIIRIIWxsbOjTpw8jRoygX79+TJs2jfbt29OhQwfy5s2rdDwhkoQUNUWKZW5uTuPGjfn999/5888/P1nUPHLkCPfu3cPOzo46deokY0qRGpQoUYITJ04wfvx4fv75Z1avXs3evXuZP3++aRoEIeLj999/J23atLi5uUW5v3fv3pQqVQoHBwcOHz6Mp6cnDx8+ZNq0aTEey9PTk/79+5t+DggIwNnZGVdXV+zs7OKVT6/X4+vrS+3atTE3N4/XMRKLmrKoLY+asqgtj5qyqCGPh4cHw4cP58SJE0ycODHRs4SFheHh4QHAkCFDqF+/fqz3TazXpn79+pw/f55Vq1axatUqDh48+NnRPEmVJTFE9roXQojYGDhwIP/73//w8fHh7t27jB8/nvHjx1O9enU6duxIs2bNZMFckapIUVOkaE2bNuX3339n/fr1TJ8+Pcbu9ZELBH377bdYWVklZ0SRSlhYWDB27Fi+/fZb2rdvz/nz53Fzc6N169bMnDkTBwcHpSOKFOi3336jdevWH70vvV+cLFasGBYWFvz4449Rhox+yNLSMtrHzM3NE3xRnhjHSCxqygLqyqOmLKCuPGrKAsrl6dSpEz/99BPHjh3j8uXLiZ5l586d3Lt3jwwZMtCiRYt4HTcx8kybNo3t27dz8uRJfHx84r0Cuxr+bpQ+vxAiZbG0tGT69Ol4eXmxceNGvL298fX1Zf/+/ezfvx8PDw+aN29Ox44dqVy5MhqNRunIQiSITLAgUrTatWuTJk0a7t27x4kTJ6Ld5v2h582bN0/OeCIVKl26NH5+fgwdOhStVsvy5cspUqQIW7ZsUTqaSGEOHjzI5cuX6dKly2e3LV++PGFhYdy6dSvpgwkhUi1HR0caNWoEGL9USWyRCwR17NhR0S+Rs2bNyvjx4wEYNmyYLPQnhPjiWFlZ0bJlS3bt2sWtW7cYN24cefPm5fXr1/z2229UrVqVAgUK4OXlxf3795WOK0S8JUtR88CBAzRq1AgnJyc0Gg0bN26M8vjr16/x8PAge/bsWFtbU7hwYdOHokjBwcG4u7uTIUMG0qRJQ9OmTXn8+HFyxBcqZmVlRYMGDYCYV0E/dOgQDx8+xN7eHldX1+SMJ1IpS0tLvLy8OHz4MAULFuTRo0c0btyYDh068OLFC6XjiRRiyZIllC5dmuLFi3922zNnzqDVasmcOXMyJBNCpGZdu3YFYPny5YSGhibacW/fvs2OHTsA6NatW6IdN7569OhByZIlef78OUOGDFE6jhBCKCZHjhyMGDGCq1evsn//fjp06ICtrS1Xr15l2LBh5MiRg3r16rFmzZooi04KkRIkS1EzMDCQ4sWLM2fOnGgf79+/Pzt37mTZsmVcvHiRvn374uHhwebNm03b9OvXjy1btrB27Vr279/PgwcPPpqDTHyZmjZtCsD69esxGAwfPR459Py7777DwsIiWbOJ1K18+fKcOnWKgQMHotFo+P333/n6669NF3Xiy/T69WvOnDnDmTNnALh58yZnzpyJslhGQEAAa9eujbaX5pEjR5gxYwb//vsvN27cYPny5fTr1482bdqQPn365HoaQohUytXVlRw5cvD8+XOOHDmSaMddtGgRBoMBFxcX8ufPn2jHjS8zMzPmzp0LgI+PDwcPHlQ4kRBCKEuj0VCtWjW8vb159OiRqcdmREQEO3fupEWLFmTNmpVevXpx6tSpaK+thVCbZClq1qtXj/Hjx8e4oMbhw4dp3749NWrUIFeuXHTr1o3ixYtz/PhxAF6+fMmSJUuYNm0aNWvWpHTp0nh7e3P48GGOHj2aHE9BqFi9evWwsrLi+vXrnD17Nspj4eHhrFu3DpBVz0XSsLa2ZvLkyRw6dIj8+fNz//596tevz8SJE5WOJhRy8uRJSpYsScmSJQHjF3clS5Zk1KhRpm1WrVqFwWDghx9++Gh/S0tLVq1aRfXq1SlSpAgTJkygX79+LFy4MNmegxAi9dLpdHTq1AkwzoH58uXLBB9Tr9ezePFigHjPX5kUKlSoYOqZ2rNnT/R6vcKJhBBCHdKkSUPHjh05cOAAV65cYdiwYWTLlo3nz58ze/ZsSpcuTYkSJZgxYwZPnz5VOq5IAQwGAzdu3ODVq1fJel5VLBRUqVIlNm/eTKdOnXBycmLfvn1cuXKF6dOnA+Dn54der8fFxcW0T8GCBcmRIwdHjhyhQoUKHx0zJCQkStfpyJUD9Xp9vD/QRO6nlg9EasqjZBZLS0tcXV3ZvHkza9asoXDhwqYce/fu5fHjxzg4OFCtWjVF8qnp9wTqyqOmLJCwPGXLluXEiRN4enoyb948hg4dytOnT/n555/jNQF3anptkiKHmtWoUeOz32x369YtxuGZpUqVki/shBBJqlOnTowdO5aLFy/i6OhI2bJlqVWrFi4uLlSsWDHGBclismnTJh4/foyjoyONGzdOotTx4+Xlxfr16/nvv/+YNWtWlIXYhBBCQP78+ZkwYQJjx45lz549eHt7s3HjRs6ePUu/fv0YPHgwderUoXLlymTMmFHpuEIlwsLCOHv2LIcOHTLdHj58yJo1a/j++++TLYcqipqzZs2iW7duZM+eHTMzM7RaLYsWLaJatWoAPHr0CAsLC9KlSxdlvyxZsvDo0aNoj+nl5cWYMWM+un/37t3Y2NgkKK+vr2+C9k9sasqjVJY8efIA8Mcff1CuXDnT/b/++itgXNxF6ddJ6fN/SE151JQFEpanTp06BAUF4ePjw9SpUzl79izdu3dHp9Mle5akoHSeN2/eKHp+IYRIDZydnZk8eTJTpkzh4cOHHD16lKNHjzJhwgSsra2pWrWqqchZokQJtNpPD+6KnAu/c+fOqlutO0OGDEyaNInOnTvz008/0bx5c7Jnz650LCGEUB2dTkedOnWoU6cOz58/Z+XKlXh7e3Py5Em2bt1K0aJFmTJlCq1atZJV079AgYGBHD9+3FTAPHLkyEe9Ms3NzaNMuZUcVFPUPHr0KJs3byZnzpwcOHAAd3d3nJycovTOjAtPT88o38QGBATg7OyMq6srdnZ28TqmXq/H19eX2rVrq+IDm5ryKJ2lUqVKzJkzh7t375InTx7y5s3Lzp078fPzA4xzssb3bymhlH5t1JxHTVkSM0/9+vWpVKkS3bt3x9fXlzRp0rB06dI49XxJra9NQkX2uhdCCJEwvXr1Im/evBQpUoQDBw7w119/8ddff/H48WN2797N7t27AXBwcKBmzZrUqlWLWrVqkS9fvigXs1euXOGvv/5Co9GYhnqrTYcOHVi8eDFHjhyhf//+pvnWhRBCRC99+vT07NmTnj17sn37drp27cqDBw9o06YNixcvZs6cORQuXFjpmCIJPXnyhH/++cdUxDx16hRhYWFRtrGzs6Ny5cpUqVKFKlWqULZsWf7f3nmHNXl9cfybsJxAcSGIqyruUSeCW1RQ/LkXrVVcRXHXrbWu2jqr1L1HrXvWiVupC5C6VxW1Kg5QWbLP74+3b1gBGRk3cD7Pkwfyrnzy3uQ9ycm59+bPn1+nnnpPan769AmTJ0/Gvn37VLNY16xZE4GBgViwYAFat24Na2trxMbG4sOHDymqNeVuLuowMzNTm0AwMTHJ8RdyTRxDk4jkoy+XYsWKoVWrVjh27BgOHTqEcePG4ebNm3j37h2KFi0KZ2dnGBvr9+UuUjsBYvmI5AJoxmfQoEEoUqQIevfujX379qFz587Yt28fChUqpHMXTaJvH5HOBcMwTG6gTJky8PDwgIeHB4gIt2/fxqlTp3Dy5EmcO3cOoaGh2L17t2qM8tKlS6uqOFu2bKka79fV1RVlypTR51NJF6VSiRUrVuCrr77Crl27cOLECbRp00bfWgzDMAaBs7MzlixZgjt37mDu3Lk4e/YsatWqhTFjxmDatGlZ/n7DiAcR4eHDhym6kj948CDNdqVKlUKTJk1UScxq1aplu0eiptDJREEZIY9xmbpbi5GRERITEwFIXYdNTExw6tQp1fr79+/j2bNncHBw0KkvIy7yLOh79uwBAPj6+qqW6zuhyeRNunTpgiNHjqBgwYI4efIkWrVqhZCQEH1rMQzDMIxaFAoFqlevjpEjR+LQoUMICQmBr68vZs6ciaZNm6q6lW3YsAHu7u4oWbIkfv31VwBiTRCkjlq1amHEiBEAgGHDhiE6OlrPRgzDMIaDiYkJJk2ahDt37sDNzQ3x8fGYN28eqlSpgj179vBM6QZIbGwsVqxYgZ9//hl2dnaoVKkSPDw8sH79ejx48AAKhQI1atSAp6cnfv/9dzx9+hTPnz/Htm3bMHToUNSsWVPvCU1AR5WaERERePToker+kydPEBgYCCsrK5QuXRrNmjXDuHHjkD9/fpQpUwbnzp3D5s2bsWjRIgCAhYUFBgwYgDFjxsDKygrm5uYYPnw4HBwc1E4SxORN/ve//2HIkCEICAjAw4cPVRNt9OjRQ89mTF6mVatWOH36NFxdXXH16lU0bdoUJ06cgK2trb7VGIZhGG0RFQX4+ACpumkBAIyNgYMH1S93dgZyOPa7JjExMUHjxo3RuHFjTJs2DZGRkbhw4YKqkjMwMBAJCQkoX748XFxc9K37WWbMmIEdO3bg0aNHmD9/PqZNm6ZvJYZhGIOiXLlyOHjwIA4dOoQRI0YgKCgI3bp1Q9u2beHt7Y2KFSvqW5HJJEOGDMHGjRtV901NTdGgQQNVFWbjxo3xxRdf6E8wk+gkqenn54cWLVqo7stjXX777bfYuHEjtm/fjkmTJsHd3R2hoaEoU6YM5syZk+IX38WLF0OpVKJr166IiYlB27ZtsXz5cl3oMwZCsWLF0LRpU5w9exYjR45EeHg4ihcvjmbNmulbjcnjNGjQAOfPn0ebNm1w584dODo6wsfHh4M+wzBMbiUwEBg7Fkg1gD7y5QOWLgXGjAFSVwoWLgxs3gw0bqwzzaxSsGBBtGvXDu3atQMAvHv3DpcuXRKmWuNzmJubY9GiRejduzfmzJmDPn364Msvv9S3FsMwjMHh5uaGVq1aYe7cuZg3bx6OHz+O6tWrY+LEiZg4caLOx1VkssapU6ewceNGKBQK9OrVC0OGDEHDhg2RL18+fatlGZ10P2/evDmIKM1NzgpbW1tjw4YNePHiBT59+oR79+5hzJgxKQYhz5cvH5YtW4bQ0FBERkZi79696Y6nyeRd5C7oJ0+eBCB1/zWED9lM7qdq1arw9fVFxYoV8fTpUzg5OSEwMFDfWgzDMIw2aNAAKF8eMDIC7OySbnKVvq1tyuVGRsCXX0r7GRBFixaFm5ubsGNpqqNnz55o1aoVYmJiMGLECO4yyTAMk00KFCiAWbNm4ebNm2jTpg1iY2Mxc+ZMVKtWDYcPH9a3HpMOnz59wpAhQwBIQ8f07NkTjRs3NsiEJiDAmJoMo0k6d+6c4n737t31ZMIwaSlTpgwuXLiA2rVr482bN2jWrBkuXLigby2GYRhG0xgbA15egEKRtiIzNdHR0nbDhkn76YDQUOD0aen/06el+3kFhUKBZcuWwcTEBEeOHMGBAwf0rWTwnD9/Hm5ubrCxsYFCocD+/ftV6+Li4jBhwgTUqFEDBQsWhI2NDfr27YuXL1+mOEZoaCjc3d1hbm4OS0tLDBgwABERETp+JgzDZIdKlSrh2LFj2LVrF2xtbfHkyRN06NABnTp1wtOnT/Wtx6RixowZ+Oeff2Bra4tZs2bpWyfH8OwpTK7C1tYWDg4OuHTpEr744gs0FrgLF5M3KVGiBM6ePQs3NzdcuHABbdq0we7du9G+fXt9qzEMwzCaxNUVqFYNuHULsLFJf7vQUKBGDWn75GQ0Lmd6fGZczkePgPXrgf37pVzq4sWAp6fUK75TJ8DDA6hQIfMPly0EGG/U3t4e48aNw08//YQRI0bA2dkZBQsW1Mixk5NIiQh4FYCvSn4FpSL31pJERkaiVq1a8PDwQJcuXVKsi4qKQkBAAKZNm4ZatWrh/fv3GDlyJDp27Ag/Pz/Vdu7u7nj16hV8fHwQFxeH/v37Y/Dgwdi2bZuunw7DMNlAoVCoxtacOXMmfv31Vxw4cAAnTpzA1KlTMXbsWJiZmelbM88TGBiIBQsWAACWLVsGc3NzPRvlHE5qMrmO/v3749KlS2jdujV3PWeExMLCAsePH0ePHj3w559/olOnTti4cSPc3d31rcYwDMNoCrla09NTyiCq69aVUZVmeuNyZkQG43JeuiSpBAdLucFixaTlxYoBb99Kyc4jR4AVKwAHh8w9XGgo4Ocn5SkLFADq1QOsrD6zkyDjjU6ZMkU1m+usWbPw888/a+zYMn8++BMTT07Ez61/Rkf7jho/vii4uLikO1GUhYUFfHx8Uiz77bff0KBBAzx79gylS5fG3bt3cezYMVy7dg316tUDAHh7e8PV1RULFiyATUY/CjAMIxSFCxfG/Pnz0a9fPwwdOhTnz5/HlClTsGnTJixbtgytW7fWt2KeJSEhAYMGDUJCQgK6du2K//3vf4iLi9O3Vo7hpCaT6xg4cCDq1q2LoKAgfaswTLrkz58fe/fuhYeHB7Zu3Yqvv/4a79+/h5eXl77VGIZhGE3RrBlQujRw7x5QsCCUCQmwvnIlaX16VZpA0ricn6v0lHn5Mt1xOR89khKar19Lh1IqpWE8AemvlRVgaQm8eiVtt3t3xhWbySs+P3wAEhKk41haZqLiM73nZWoq/bW1BWJjM/W8ckKBAgXg7e2Njh07YuHChejbty+qVq2qsePHJ8bjt6u/4XnYcyy7tgyuFV1hrOSvXgDw8eNHKBQKWFpaAgAuXboES0tLVUITAFq3bg2lUokrV66kGV4KAGJiYhATE6O6HxYWBkDq7p7dL+nyfqJ+yWe/7COyG5A7/SpVqgQfHx9s27YNEydOxIMHD+Ds7Ixu3bph/vz5sJXHmNaDmy4RyW/JkiXw8/ODhYUFFi1alOJ6KYIfkD0PjqxMrkOhUKBGjRp4/vy5vlUYJkNMTEywadMmfPHFF/D29sbw4cMRGhqKadOm6VuNYRiGySwREVJWz8JCun/rllR5+eiRlJCT+fABRgDM5R9do6OBxETp79KlQN26QJ06gNwVLDOVnjKfGZdz/XqpQlNOaKpDqQRKlpSUN2wA5sxRv13qis/ixaWEZkICEBaWiYpPDT6vnOLm5oaOHTvi4MGDGDZsGE6fPp1iotKccOThEdx+exvWBa1x680tHHl4JFdXa2aW6OhoTJgwAb1791Z1ewwODkbx4sVTbGdsbAwrKysEBwerPc7cuXMxY8aMNMtPnDiBAjkcpiB1ZalosF/2EdkNyJ1+X3zxBRYuXIg//vgDR48exe7du/Hnn3+iV69e6NChA4w1dG3PjedOk7x+/RpTp04FAPTp0wfXr1/H9evXVev17ScTFRWV5X04qckwDKNHlEollixZgqJFi2L69OmYPn06QkJCMG/ePH2rMQzDZIwmxkbUwriRWiE2FrhzB3j4UEpWJv8bHAz8+CMwfbq0bb58wPnzSftaWUnPLzYWCVZWeFO3LioEBUlVmiVLStvK2ysUQKVKUoKzXj3AxSVn43ICCA0hHN8bhYomb1Hu01t8Ef8WAYWaIgHS2GZWscHI9ykCL83KIVaZD/nzA/v2ST3EU3clV1fxKWNsnIWKz5yON6pBlixZAh8fH5w9exbbtm3TyFAwcpUmEcEinwUiwyO5WhNSBU6PHj1ARFixYkWOjjVp0iSMGTNGdT8sLAx2dnZo06ZNtseIi4uLg4+PD5ydnWFiYpIjP23AftlHZDcgb/j16NED169fx4gRI3DlyhVs3LgR165dg7e3N5ycnPTqpk1E8CMidOzYETExMXBycsLixYuh/C+Ai+CXHLnqPivk3ajKMAwjCAqFAj/88AOsrKwwfPhwLF26FO/evUsz2D7DMIxQaGJsRA2PG5kjwsKkrJ18q1EDcHOT1j15IlVRpseLF0n/ly0L/P67lM2rUEHK9B08CHh6ItHaGh8qVABiYqQE5uDBSQNT+vsDz58D9+9Lt23bgBIlkqoaP3yQ9itQQDrHCQlSsjQqSrr165dUzbhmDbByJfD2LSxev4V/bMp2cK8SgCf5qwMA2rzbjhFPxyMRCrw2tcNT04p4kFgB7yZWgJVrBaB5cylTCQ1WfCYmStWXQ4dKr5H4eChjYlD+0CEoX71K+dzKl5f+yokqPz/g5k3pgRQK6Zb8fxcXlS/u3pVu6W3buDHKli2LqVOnYtWUKdjn5YX/FS6MfPnzo8itW1AULix1i1cogOrVk6px37wBnj1Le8z//h6PuYXbb2/DKr+UFbbKb5XnqzXlhObTp09x+vTpFIlHa2trvHnzJsX28fHxCA0NhbW1tdrjmZmZqZ10xMTEJMdfzDVxDG3CftlHZDcg9/s1aNAAf/31FzZs2IAJEybg9u3baNmyJfr27Yt58+ahRIkSenPTNvr027ZtG44fPw5TU1OsWbNGa9dOTZAdB05qMgzDCIKXlxe++OILfPvtt9i2bZtq7BkRAgzDMEwaNDE2ogbHjcwU8fFJib/QUCnxKldcpkqq4Ntvk5Ka5cpJCcby5aVEZcWKSUnLChWAL75I2s/YGOjTJ+Wx5MrER4+k++/fS0myQYNSdqt+80ZKbvr7S8m7hg2BMmWkfS9fzjj5m7wkMjQUCAgAAMhTJsYozPDeuBg+GBeDghJVm5omRiNCWRiFEsNRMvYZSsY+QyOcAtZAuvn7A199hdBQIGLzXiyOOoa3byrgmVlFPM9XAf+afQlAAcv4t3htYgcoFFAqgQ50CGVX+SLm6VuYhb2VZiOSb2Fh0l+5WjMuDkbv3qHGunVpn9fKlcD48UlJzZ07gfnz0z8PN28mJTV37pSqaNPj8mWgYUOMHTsWxr/+ivFv3wL/+x8AIE3d0KlTQMuW0v+7d0tJ2fQOO7o2yJaQz1jqWp/POB+IKM9Wa8oJzYcPH+LMmTMoUqRIivUODg748OED/P39UbduXQDA6dOnkZiYiIYNG+pDmWEYLaFUKjFgwAB06tQJkydPxpo1a7B582YcOHAAc+bMwXfffceT/WqQkJAQjBo1CgAwdepUVK5cWb9CWiBvRVSGYRjBcXd3h6WlJbp16wY/Pz906NABhw4dgoVcHcIwDCMKmhgbURvjK378qOoerrx3D3XOn4fRzz8D//wDdOgglRsCUsXj5s0AUdK+xYsnJSpbtEhabmoqlShmF/l5jh4t3U/veRQvLlUapp5J2stLSnIWLiydh7i4lLP91K6dsjt+ly5S0rRoUVy4VwweE4qhYIlCMDZJGi/SFNJg/JtLTcTaYlPxRfxb2MU8gk3UIxR5/xC96z2CdcQjKYkM6eHrvD+N3lFrgHRyqy1qhSLcWErwtkk4gh4hK4Hf0zkn798ntb2pKRKtrPCyalXY3L0LZVyclBCvXRuwtgYKFkzar3JlKUmcmCi1nXyT7xcqlLStnR3g6JhyvZptzczM0OHbb3FzwQIoAHxZtizi4+NRqEABKOR9kp/fQoWkY6s5bkx8DB5GPoNV/pIpnm5urtaMiIjAIzlhD+DJkycIDAyElZUVSpYsiW7duiEgIAB//vknEhISVONkWllZwdTUFFWqVEG7du0waNAgrFy5EnFxcfDy8kKvXr145nOGyaUUKVIEq1atgoeHB4YOHYqAgAB4eXlh/fr1WL58Of+goSG+//57vH37FtWqVcOECRP0raMVOKnJMAwjGO3bt8eRI0fQoUMHXLhwAS1atMCxY8fSDKLPMAyjdzQxNmJ2jvH+fVI38cKFpWQlAHz6lFSlB6lKsXTyYyRLvCBfPmDxYilpVrGilLzT5g9Irq7AqlXS/1WqZG2cSFdXaYzNW7ekMTeJpMToy5fSOTl8OGWCtGJF6QagWkXA5BcgLDztGJkqFAq8NymO9ybFcSamMfLbAd/uAZBs+6go4LBpZ8SZF4Fd7CPYRT+CXcxDWCS8BwDEKkxhnpCU1PQzb4WPUaZw7FwMVZsWA4oluxUvLrVTuXKqtk+wt4f/99+jxC+/QBkUBDRqlPZ5AdLU6h4emTtvWdi26vz56P3vv9i+fTvqFyuGSZMmoUOHDup7S/TtK91SEZ8YD7ffXXHrzS3YGKdM0Ofmak0/Pz+0SPYjgDzW5bfffosff/wRB/8bX7d27dop9jtz5gyaN28OAPj999/h5eWFVq1aQalUomvXrli6dKlO/BmG0R8NGzbE1atXsXLlSkyZMgUBAQFwcHDAwIEDMXfu3DSV3UzmOXXqFDZu3AiFQoE1a9bAVO5Jk8vIPdGUYRgmF+Hk5ITZs2fj559/xvXr1+Hk5AQfHx+UKVNG32oMwzBJZKbS8nMVlvIxvvtOSkrmyycl7eRBG4mksSYjIoCgICkJGRKStH/z5klJzfz5gVKlpG7mFSog8csvcS8+HpVcXWFcpYqq6lDFyJGaOAuZw9hYGkMTSNvtPDP7pj7PmaxctbICOnWSClQtLdMfCxOQig4/fZJ6z6dOgBYoAPyVvxUeFW+V4uEKx79HokKJSKW55PMfJ8y7YWt0N2zqB1R1TucBlcqk5xUTIy2TxxvV0oznGbFw4UIcPnwY165dg4+PDzrIr6tMIs94Lo+lmZrcWq3ZvHlzUPKK51RktE7GysoK27Zt06QWwzAGgpGREYYNG4Zu3bph/Pjx2Lx5M9asWYO9e/fi559/hoeHh2piGyZzfPr0CUOGDAEADB06FA4ODno20h78ymAYhhGU8uXL48yZMyhTpgwePnwIR0dH3LlzR99aDMMwKZErLd+9A168gHFgIFoPHgxjf3/gxg1popa3b4HUsx1/+aWUnDMxkbJur15JM4wHBAD37iVtp1BIScxPn4AHD5ISmiVLAk2apB1f8+FD6VgXLiBhzRo87N4d1L27NNFPNmdF1hjt2qX8mxXk8xwaKt0PDZW6mGei4tPDQ8oFv3olJS7VkZgorbe2Bvr3T7u+Xj0pKZp6YtJw4y8QaWSRIqEJSKMAWFpKE7ln6nm9lyo+VeONanHG8/SwsbHBrFmzAABbtmzB27dvM71v8hnP8xmrH0YhebVmfGK8RpwZhmFyCyVKlMCmTZtw/vx5VK9eHSEhIRg0aBAcHR1x/fp1fesZFDNmzMA///wDW1tb/PTTT/rW0Sqc1GQYhhGYihUrwtfXF1WrVsWLFy/QtGlTXL16Vd9aDMMYMlFRwIEDwJ49mb8dOCDtl5qEhKQqQqUSePcOik+fUPDNGyhiY6WxHxMTpb8fPqTcNyZGusXHpxzXMjXR0dKYit98I03QEhgoTZjz8iVw/jzwyy8pt89oXE59I1eaZKfiRD7PCoWUMcxCNWOFClJOuUQJ6bSFhEhNB0h/Q0Kk5SVKSNsln3NIRq74jIpKPzEqI1d8du6cQZd3dc8L0FuVpsywYcNQs2ZNREREYMqUKZne73NVmjLJqzUZhmGYtDRp0gQBAQFYuHAhChUqhMuXL6NevXoYMWIEPn78qG894QkMDMSCBQsAAMuXL4e5vn/Q1TKc1GQYhhEcW1tbnD9/Hg0aNEBISAhatmyJU6dO6VuLYRhDJTAQGDsWGDo087exY6X9ACkLdvy41Ee5ShXpvqurVF1XsCDiK1bE+XnzEF+jBlC0KODgIFVf/p5qxpjLl4Fnz4B//5VKBF+8AJo1kzJr9vZJ24WGSsdYvx7o2hWoVSvlZDB5CbmqMTg4y9WMDg5STnjAAKmXvlyE+PatdH/AAGl9Rj3UNFHxme7zkmdkzep4oxrG2NgY3t7eAICNGzfC19f3s/tkpkpThqs1GYZhPo+JiQnGjBmDe/fuoWfPnkhMTIS3tzfs7e2xdevWTA1rkRdJSEjAoEGDkJCQgG7duqFjx9wz1El6cFKTYRjGAChSpAhOnTqFVq1aITIyEq6urti7d6++tRiGMUQaNADKl5dmzraz+/zNyEjqKm5uDkyaBJQpI3Wf/uMPqau3r29StV3BgqDChfG+UiWQiYk0a/jEiVLX7/LlU3qUKiUd39ZWyoDZ2ABjxkiPFyfNzJ3pGc/zCvJ5trPL1jmpUAGYMwe4eBFYuVJatnKldH/OHPUVmqn3T13xKRfaxsdnruIz3eeV3fFGtYCDgwNat24NQBqLLD4+4+Tj1RdX8fj9YyRQAp6HPf/sLYES8E/oP7j6gnteMAzDZIStrS22b98OHx8fVKpUCa9fv8Y333yDFi1a4Pbt2/rWE46lS5fCz88PFhYWeWayNf50yDAMYyAUKlQIhw8fhru7O/bs2YPu3btjzZo18MjsLLAMwzBA5ib3kYmOBmJjpQl6atRIWm5lJVVq9usHfPWVtEyuIpRnGM/O2IipZ0LPaNb0vEqHDtK5kc97NrCyAlq0AI4ckf6qm+A7PeSKzw0bgH37gDdvpGJdIyNpDM0+faQKzUwnNGXatQOOHcveeKNaoG/fvggICMCNGzfw22+/YdSoUeluW9u6Nha1XYS4hLhMH9/EyAS1rWvnXJRhGCYP0Lp1a9y4cQMLFy7E7Nmzce7cOdSuXRsjRoxA/fr19a0nBEFBQZg6dSoAYP78+ShZsqSejXQDJzUZhmEMCDMzM+zYsQNDhgzBunXrMGDAAISGhuL777/XtxrDMIZE6uRhcoiSxsoMDZWyU1euSFkrV1cpkdm+PWBmlnI/OVk6erR0PzsVlskTrlkcNzLPoFRKs/boEbnic+xYwN8fiIyUhj2tWzcTY2imR07GG9UC5ubmmDNnDjw9PTFt2jR0794dtra2arctYFIgV81mzjAMIyJmZmaYPHky+vTpg1GjRuHAgQNYtGgRihQpAiJCr169oEg1aV1egYjg6emJqKgoNG3aFAMGDNC3ks7gT4gMwzAGhpGREdasWYMiRYpg3rx5GDduHEJCQvDTTz/l2UDOMEITFQX4+Ej9czOLsTHg7AwUKKAdJ3XVmp8+Sf2HQ0MBCwupD7FCIXU5f/MG6NhRWpYRrq7AqlXS/9kdG1FOuF66BDRuzFWaAmNlJb1Mcyv9+/fHxo0bceXKFYwdOxbbt2/XtxLDMEyep2zZsti/fz8OHz6M4cOH48mTJ+jTpw82btwIb29vVKpUSd+KOuePP/7AsWPHYGpqitWrV0MpyA+EuoCTmgzDMAaIQqHAL7/8giJFimDChAn4+eefERoaiuXLl8PIyEjfegzDJEeemCc8PPP7FC4MbN4sJfW0hasrULWqVGoXH5/SLzxcSnzWrClVZWa2UlITYyPKCdd//+UqTUavKJVKrFixAvXq1cOOHTswcOBA1VibDMMwjH5p3749mjRpgsGDB2Pfvn04ceIEatSogfHjx2PSpEkooK0fhgUjJCRENUTK1KlTYZ98ssU8QN5J3zIMw+RCxo8fjzVr1kCpVGL16tXo3bs3YmJi9K3FMExysjsxT4MG2vXauhW4fVsa+1JOaFpYSI9dvrzUDTg7SUV5TMScjI3YoYOU1O3QIfvHYBgNUKdOHXh5eQEAhg0bxjGWYRhGIPLnz4/evXvj+vXraNu2LWJjYzF79mxUq1YNhw4d0reeThg7dizevn2LatWqYcKECfrW0Tn80zfDMIyBM3DgQFhaWqJPnz7YtWsXPnz4gL1796JQoUL6VmMYBsj6xDzpjSOZUTd2Y2Pg4EH1y9Prxv7PP8CrV9I2ZmZAuXJJ42S+fJn9CXo0MTaiAONGMozMzJkzsXPnTjx48AALFizAlClT9K3EMAzDJKNixYo4evQo9u7di1GjRiEoKAgdO3aEm5sblixZgnLlyulbUSucPHkSmzZtgkKhwJo1a2BqaqpvJZ3DSU2GYZhcQLdu3WBhYYHOnTvDx8cHzs7OOHz4MKyyPWMDk13Onz+P+fPnw9/fH69evcK+ffvQqVMn1fr0xj2Vx0cFgNDQUAwfPhyHDh2CUqlE165dsWTJEu0lqjWdLMstLpoko4l5kpPRbN/pdWPPlw9YuhQYM0ZKiiancGFg0yZpvMwlS6TEqnzsoUMllyJFpMl9iKTlGSVWGSYPYmFhgYULF8Ld3R2zZ89Gnz59cu0XZIZhGENFoVCga9euaNu2LWbNmoVFixbh0KFD8PHxwZQpUzBu3DiYpZ7k0ICJiorCkCFDAABDhw6Fg4ODno30A39SZRiGySU4Ozvj1KlTcHFxweXLl9GsWTMcP34cNhklUBiNExkZiVq1asHDwwNdunRJs/7Vq1cp7h89ehQDBgxA165dVcvc3d3x6tUr+Pj4IC4uDv3798fgwYOxbds27UhnN1mmjTEfRXLRJJmp1vxcMlHuxp46MSr/Km9rC8TGJi1/8UKqvBwyROpmDgAxMUlJzZIlJZ/4eGDt2qTjZpRYZZg8Su/evbF27VqcOXMGI0eOxEF1P7AwDMMweqdQoUL45Zdf8O2332LYsGE4e/Yspk2bhs2bN+O3335DmzZt9K2oEWbOnInHjx/D1tYWP/30k7519AYnNRmGYXIRDRs2xIULF9CmTRvcunULjo6O8PHxQYUKFfStlmdwcXGBi4tLuuutra1T3D9w4ABatGiB8uXLAwDu3r2LY8eO4dq1a6j3X/dbb29vuLq6YsGCBekmqWNiYlKM9RYWFgYAiIuLQ1xcXMbSdeoA9vbA3btAMr+4/5JlceXKpUyWBQcDlStL+33u2FlFJJcMkM+p2nObmCiNUxkSAkVICPDuHRAaCsWbN6AyZUDBwYC5ORARAePHj0GmpiAzMyA2FlS+PKhkSWl/dZW5w4ZJiV0iVVdx1bmRk5sxMVC+eAHl27dQBAcDAKhgQST27YvEoUPVnyf5uNHRQP78UhUnUbbOaYbnRseI5AKI5SOSCyCWT3ouv/76K+rVq4dDhw5h7969cHNz05kLwzAMkzWqVq2K06dP448//sDYsWPx8OFDtG3bFt26dcPixYtRqlQpfStmm8DAQCxYsAAAsHz5cpibm+vZSH9wUpNhGCaXUa1aNfj6+sLZ2RmPHj2Ck5MTjh8/jlq1aulbjUnF69evcfjwYWzatEm17NKlS7C0tFQlNAGgdevWUCqVuHLlCjp37qz2WHPnzsWMGTPSLD9x4kTmZn+UZ6xWg8/o0epXnDjx+eNmB5FcAChjY5H/7VuYhofDLCwMpuHhMA0LQ9WwMLz97Te8cHTE2zp1AABWt2/Dado0KBIT1R7rrrs7Hvw3iLt5UBBajBoFRWRk0gahoaoJgu717In7vXsDAEwiImDj64uoEiUQOW4cPhUrBkpVzSmfm2Zjx8Ly9WsAQGTx4njSvj2etmqF+EKFpHE0//lH/RNdtCjl/SNHMn+S1ODj45Oj/TWJSC6AWD4iuQBi+ahz6dixI/bs2YPvvvsOcXFxyJfRGLkaICoqSqvHZxiGyc0oFAr06dMH7du3x/Tp0+Ht7Y3du3fj6NGjmD59OkaNGgUTExN9a2aJhIQEDBo0CAkJCejWrRs6duyobyW9wklNhmGYXEjZsmVx8eJFtG3bFn///TeaNWuGw4cPw9HRUd9qTDI2bdqEwoULp+imHhwcjOLFi6fYztjYGFZWVgj+r+pOHZMmTcKYMWNU98PCwmBnZ4c2bdpk7tfb+HigW7cUFZJxpqbwGT0azosXw0SujgwOBqpWBXbt0t54i7pwCQmB4tIl6e+7d2mqKhM9PUE9egAAFOfOwfi//9VRqkkTJMpdte3soPhvEhEyNweKFgUVKQIULQpYWaGimxsqrF4tPbdixRBfuTIUMTFSJWf+/FBYWwNPn0Lx/j0qNm2KL/87ruLiRRivWKF6TAIAU1NQvnxIzJ8fxxctQovVq2ESGwtFXBwS8+VD4qhRMJ0+HfZGRrDPzDk5cgT48UfploOu53FxcaqxffX9RUEkF9F8RHIRzScjl2bNmuHatWt49uwZAgICMHv2bK26yFX3DMMwTPaxsLDAr7/+in79+mHo0KG4dOkSxo8fj02bNmHZsmVo1qyZvhUzzdKlS+Hn5wcLCwssXbpU3zp6h5OaDMMwuZQSJUrg7NmzcHNzw8WLF+Hs7Iw9e/Zk2DWa0S3r16+Hu7u7Rip9zMzM1A5+bmJikrkEgYmJNPaipycQFiaN+RgZiUo7dsDsyRMYJSZKycZPn6RxHffsAZycgLJlpf3fvgXu3JGOY2oq3eT/TUykyWgKFpS2lasY05sdW52LvCo2Vkpqfvok3b75RuouDQBPn0oJTjk5mfwWEgLMmiUdFwDu3wfUjHkqo2zXTvIApMSqubn0HIoWBYoWReIXX+BJeDjK1qsHo9atYSRvW6OGNKO4lRUU/3UHTz41lBKQfD09gchI6ZwYGUljXa5YAci/tn/8CCMjo6TjFiwoJRqfPAGePIEiOhqIjYUiNhbKsDDYnTmTdG5iY4GmTaGcNStryV43N2lczq++ytnM5f+R6deeDhDJBRDLRyQXQCwfdS6WlpZYunQpOnXqhMWLF6N///6oXLmyVh0YhmEYzVC7dm1cvHgRGzduxIQJE3D79m00b94cX3/9NebPn59mmCjRCAoKwtSpUwEA8+fPR8mSJfVspH84qckwDJOLsbS0xPHjx9G9e3ccOXIEHTt2xObNm9H7vy6tjP64cOEC7t+/jx07dqRYbm1tjTdv3qRYFh8fj9DQUO1/0Eo1Q7ciKgpV/vgj7Xbe3tLfbduSkpoXLgDJJjtKw5o1wMCB0v8+PkC7dlIyL3Xy09QUmDEDcHeXXK5fBz59gpGREZwmTYJxUJA0zqM8O/rbt0mPERQE/DeDvFqSn9eSJYH69aUkZbJkper/5MM1VK8OfPyY4lAJcXG4deQISru6JiUeAek5fK6dUs+Erm5iHguLlPs0aAAcPiz9TyTNaD5uHGBmhgSlErGFC0vroqOlhGR2Zi5XKoFkwx4wDKOejh07on379jh8+DCGDRuGkydPQqFQfH5HhmEYRu8olUp4eHigU6dOmDx5MlavXo2tW7fi4MGDmD17Njw9PWGsrd5IOYCI4OnpiaioKDRt2hQDBgzQt5IQiNdSDMMwjEYpUKAA9u/fj379+mHbtm1wd3fH+/fvMXToUH2r5WnWrVuHunXrphnr1MHBAR8+fIC/vz/q1q0LADh9+jQSExPRsGFD7UqpmaE7qE0blL5+HcrYWKmasFYtKfEXG5tyBu4CBYAqVaTlsbFS4jH53+RVpPLEFwkJSRWXyYmMTHLx8AAiI6EEUERdN8zks6SXKQN8/XX6iUo7u6RtK1UCrl7N8SnLFsnP88ePGc94rg6FQnqe27YBt24hsXRpvGjWDLUuX+aZyxlGBygUCixduhSnTp3C6dOnsX37dv6xkGEYxsCwsrLCypUrMWDAAHh6esLf3x8jRozA+vXrsWLFCjRq1EjfiiqePXsGLy8vHDt2DGZmZli9ejWUGuhVkxvQyVk4f/483NzcYGNjA4VCgf3796dYr1Ao1N7mz5+v2iY0NBTu7u4wNzeHpaUlBgwYgIiICF3oMwzDGDwmJibYsmULvLy8QEQYNmwYZs2aBSLSt1quIyIiAoGBgQgMDAQAPHnyBIGBgXj27Jlqm7CwMOzatQsD5crFZFSpUgXt2rXDoEGDcPXqVfj6+sLLywu9evVKd+ZzjSJXEYaGggoXxt9DhyKhQgUpadm0KXDxolQx6OMDJB9/qF07qfv5o0fAs2dSF+yQEKn7eHS01E1cpk0bqcLyxQupuvLBA6lq8fp14MqVpG7hrq5SlaSlJeIrVsS1ceMQX7WqlKBs2hSIiAAmTUo6btmywJYtwOLFwNSpwHffSWNztmghJfosLbV//jKLfJ6Dg6XnmNUkpJwYVSikZDMg/c1qgpRhmGxRvnx5TPlv/NwxY8bgY6pqboZhGMYwqF+/Pq5cuYLly5fD0tISgYGBcHBwwMCBA/Hu3Tu9usXHx2PhwoWoWrUqDh06BBMTEyxduhT29pkaLT1PoJOkZmRkJGrVqoVly5apXf/q1asUt/Xr10OhUKBrsm5s7u7uuH37Nnx8fPDnn3/i/PnzGJzB7KgMwzBMSpRKJZYuXYoffvgBAPDDDz9g9OjRSExnlmYme/j5+aFOnTqo899s2GPGjEGdOnVU5x0Atm/fDiJKt7Ln999/R+XKldGqVSu4urrCyckJq1ev1om/TpJlpqZSYtLGRqqurFhRSvDVri11s5a7bxsbA2PGAAUKgAoXxktHR1C+fNL+Y8cmjdFpiMjn2c4u++dVToy+fy/df/8+ewlShmGyxbhx41CxYkUEBwdj+vTp+tZhGIZhsomRkRE8PT1x//599OvXD4DUq8re3h5r1qzRy/elK1euoF69evj+++8RGRkJJycnBAYGch4sFTpJarq4uGD27Nno3Lmz2vXW1tYpbgcOHECLFi1Qvnx5AMDdu3dx7NgxrF27Fg0bNoSTkxO8vb2xfft2vHz5UhdPgWEYJlegUCgwY8YMLFmyBACwZMkS9O/fH/Hy+IRahIhw6dIlrT+OvmnevDmIKM1t48aNqm0GDx6MqKgoWKQeN/E/rKyssG3bNoSHh+Pjx49Yv349ChUqpKNnALGSZSK5aJoOHYDNm6W/2SF5AhrgKk2G0TFmZmaqog1vb29VhT7DMAxjmBQvXhwbNmzAhQsXUKNGDYSGhmLw4MFo3LgxAgICdOLw8eNHDBs2DA4ODvj777/xxRdfYO3atTh37hyqVq2qEwdDQrhPva9fv8bhw4exadMm1bJLly7B0tIS9ZINXt+6dWsolUpcuXJFbbI0JiYGMXKFCaSufgAQFxeHOHksrywi75fd/TWNSD4iuQBi+YjkAojlI5ILIJaPtl08PT1RuHBhDBo0CJs3b0ZoaCh+//135JdnkdagT2xsLHbs2IFFixbh9u3buHLliqqKMauI0DZ5AjlZNnq0dF+fyTKRXDSNJibmcXUFVq2S/q9SJXckexnGgHB2dkaPHj2wc+dOeHp6wtfXl8c5YxiGMXCcnJwQEBAAb29v/PDDD7hy5Qrq168PT09PzJ49G5ZaGNKIiLBr1y6MHDkSwcHBAIBvvvkGCxYsQPHixTX+eLkF4b4RbNq0CYULF0YXeTwtAMHBwWka0djYGFZWVqrGTs3cuXMxY8aMNMtPnDiBAgUK5MjRx8cnR/trGpF8RHIBxPIRyQUQy0ckF0AsH226WFlZYcKECZg/fz7+/PNPNG7cGFOmTMnwGpkVn0+fPuHEiRM4ePAgQkJCAAD58uXD9u3b8erVq2w5R0VFZWs/JhuIlCwTyUU0jI0BuRvSoEG5I9nLMAbGokWLcOTIEVy+fBnr169XO14ywzAMY1gYGxtj9OjR6NmzJ8aOHYvt27dj2bJl2LVrF+bPn49vvvkGCrm3TA558uQJhg4dimPHjgEAKlWqhBUrVqBly5YaOX5uRrhPvuvXr4e7uzvy5cuXo+NMmjQJY8aMUd0PCwuDnZ0d2rRpA3Nz82wdMy4uDj4+PnB2doaJiUmO/DSBSD4iuYjmI5KLaD4iuYjmoysXV1dXtGzZEl26dMHt27cxf/58HDp0KM0PSVnxefXqFX777TesXr1aNXGCtbU1vLy8MHjw4Bz9shmmbvZrRjuIlCwTyUVE2rUDjh2T/jIMo3NsbW0xc+ZMjBkzBhMmTECnTp1QtGhRfWsxDMMwGsDGxgZ//PEHBg4cCC8vL9y7dw/ffvst1q5di+XLl6N69erZPnZcXBwWLlyImTNn4tOnTzA1NcXkyZMxYcKEHOfE8gpCfSu4cOEC7t+/jx07dqRYbm1tjTdv3qRYFh8fj9DQUFjLkwmkwszMDGZmZmmWm5iY5DhBoIljaBKRfERyAcTyEckFEMtHJBdALB9duLRq1QpnzpxBu3btcP36dbRs2RI+Pj4oXbp0lnzu37+PBQsWYPPmzYiNjQUA2NvbY9y4cfj666/VXpOziijtkmcQKVkmkotoyF1ducsrw+iN4cOHY8OGDbh58yYmTZqENWvW6FtJZ5w/fx7z58+Hv78/Xr16hX379qFTp06q9Xv37sXKlSvh7++P0NBQXL9+HbVr105xjOjoaFUlVExMDNq2bYvly5ejRIkSun0yDMMw6dCqVSv8/fffWLRoEWbNmoULFy6gdu3aGDlyJH788UcULlw4S8f766+/MGTIENy6dQsA0KJFC6xYsYJnNs8iQn36XbduHerWrYtatWqlWO7g4IAPHz7A399ftez06dNITExEw4YNda3JMAyT6/jqq69w8eJFlC5dGg8ePICjoyPu3buXqX0vXbqEzp07o0qVKli7di1iY2Ph4OCA/fv3486dOxgwYIBGEpqMHhApWSaSC8MwTCqMjY2xfPlyAMDatWvzxMR4MpGRkahVq5Zq0iR1652cnPDLL7+ke4zRo0fj0KFD2LVrF86dO4eXL1+mGI6MYRhGBExNTTFx4kTcvXsXnTt3RkJCAhYtWoTKlStj586dIKLPHuP9+/cYMmQIHB0dcevWLRQtWhSbNm3CqVOnOKGZDXRSqRkREYFHjx6p7j958gSBgYGwsrJSVQKFhYVh165dWLhwYZr9q1Spgnbt2mHQoEFYuXIl4uLi4OXlhV69esHGxkYXT4FhGCbXU6lSJfj6+sLZ2Rn37t2Dk5MTjh07lmKSNpnExET8+eefmDdvHnx9fVXLO3bsiPHjx8PR0VGX6gzDMAyjd5ycnNC/f39s2LABnp6e8PPzg3EeGC7DxcUFLi4u6a7/5ptvAABBQUFq13/8+BHr1q3Dtm3bVOPHbdiwAVWqVMHly5fRqFGjNPvkhUlhU8N+2UdkN4D9coK+3EqWLIkdO3bg6NGjGD16NB4/foyePXti9erV+PXXX1XJyeR+RIQ//vgD48ePV/VE7tevH+bOnYsiRYogPj5ep88htZ8IZMdDJ1HWz88PLVq0UN2Xx7r89ttvsXHjRgDA9u3bQUTo3bu32mP8/vvv8PLyQqtWraBUKtG1a1csXbpU6+4MwzB5iVKlSuHChQtwcXFRXbsPHjwIJycnANKXiC1btmD+/PmqSk5TU1N88803GDt2LKpUqaJPfYZhGIbRK7/88gv279+Pv//+G8uXL8eIESP0rSQ8/v7+iIuLQ+vWrVXLKleujNKlS+PSpUtqk5p5aVLY1LBf9hHZDWC/nKBPt7lz52Lv3r3Yu3cvTp06hTp16qBTp07o3r27qrfapk2bsGrVKvz9998ApO9cnp6eqFatGq5cuaI3dxlR2jY7k8LqJKnZvHnzz5bhDh48GIPlSQDUYGVlhW3btmlajWEYhklF0aJFcfr0aXTq1AmnT59Gu3btsHr1apw+fRqenp6qmcvNzc3h6emJESNGcNU8wzAMwwAoVqwY5s6di++++w5Tp05F9+7dUbJkSX1rCU1wcDBMTU3TTCRYokQJBAcHq90nL0wKmxr2yz4iuwHslxNEcevcuTN+/PFHjB49GseOHcPu3btx7do1zJ07F3/++Sf27NmDmJgYmJmZYfLkyRg7dixMTU315isjyvmTyc6ksLm/PwTDMAyTZQoXLozDhw+jT58+2LdvH/r166daZ2tri1GjRmHw4MHZ/uLAMAzDMLmVgQMHYv369bh69SrGjh3LhRlaIC9NCpsa9ss+IrsB7JcTRHCrXLkyjhw5gv3792PkyJF4+vQp+vTpo1rv7OyM5cuXo0KFCnq0VI8I50/2yCo82j7DMAyjlnz58mHnzp0YMGAAAKB06dJYu3YtHj9+jO+//54TmgzDMAyjBiMjIyxfvhxKpRLnz59HaGiovpWExtraGrGxsfjw4UOK5a9fv4a1tbV+pBiGYbKBQqFA586dcffuXUycOBEmJiawsLDA5s2bcfz4cSETmoYOJzUZhmGYdDE2NlYlMn/99Vf07dtXiK4SDMMwDCMydevWxe7du3H37l1YWVnpW0do6tatCxMTE5w6dUq17P79+3j27BkcHBz0aMYwDJM9ChYsiLlz5yIoKAirV69Gr169oFAo9K2VK+Hu5wzDMMxnKVWqFG7cuKFvDYZhGIYxGDp37qxvBZ0QERGBR48eqe4/efIEgYGBsLKyQunSpREaGopnz57h5cuXAKSEJSBVaFpbW8PCwgIDBgzAmDFjYGVlBXNzcwwfPhwODg5qJwliGIYxFIoVK6Z2qAxGc3ClJsMwDMMwDMMwDJMt/Pz8UKdOHdSpUwcAMGbMGNSpUwc//PADAODgwYOoU6cO2rdvDwDo1asX6tSpg5UrV6qOsXjxYnTo0AFdu3ZF06ZNYW1tjb179+r+yTAMwzAGBVdqMgzDMAzDMAzDMNmiefPmIKJ01/fr1y/FhIPqyJcvH5YtW4Zly5Zp2I5hGIbJzXClJsMwDMMwDMMwDMMwDMMwBgUnNRmGYRiGYRiGYRiGYRiGMSg4qckwDMMwDMMwDMMwDMMwjEHBSU2GYRiGYRiGYRiGYRiGYQwKTmoyDMMwDMMwDMMwDMMwDGNQ5JnZz+UZ+cLCwrJ9jLi4OERFRSEsLAwmJiaaUssVPiK5iOYjkotoPiK5iOYjkotIPvI1PKNZVhmJ3Bb3RHIRzUckF9F8RHIRzUckF9F8RHLhuJc5clvMUwf7ZR+R3QD2ywkiuwHsl1WyE/PyTFIzPDwcAGBnZ6dnE4ZhGCanhIeHw8LCQt8aQsNxj2EYJvfAcS9jOOYxDMPkHrIS8xSUR372S0xMxMuXL1G4cGEoFIpsHSMsLAx2dnZ4/vw5zM3NNWxo2D4iuYjmI5KLaD4iuYjmI5KLSD5EhPDwcNjY2ECp5BFUMiK3xT2RXETzEclFNB+RXETzEclFNB+RXDjuZY7cFvPUwX7ZR2Q3gP1ygshuAPtllezEvDxTqalUKlGqVCmNHMvc3FyIBpcRyUckF0AsH5FcALF8RHIBxPIRyQUQw4crVTJHbo17IrkAYvmI5AKI5SOSCyCWj0gugFg+orhw3Ps8uTXmqYP9so/IbgD75QSR3QD2ywpZjXn8cx/DMAzDMAzDMAzDMAzDMAYFJzUZhmEYhmEYhmEYhmEYhjEoOKmZBczMzDB9+nSYmZnpWwWAWD4iuQBi+YjkAojlI5ILIJaPSC6AeD6MbhCp3UVyAcTyEckFEMtHJBdALB+RXACxfERyYXSH6O3OftlHZDeA/XKCyG4A++mCPDNREMMwDMMwDMMwDMMwDMMwuQOu1GQYhmEYhmEYhmEYhmEYxqDgpCbDMAzDMAzDMAzDMAzDMAYFJzUZhmEYhmEYhmEYhmEYhjEoOKnJMAzDMAzDMAzDMAzDMIxBwUlNA4PndWIMHX4NGwbcTowI8OuQYTQLv6cYRmz4Pcowhge/b/ULJzUNiNDQUCgUCn1rAABOnTqFW7du6VtDxdWrV9GrVy/8/fff+lZBRESEvhXSIMqF9vXr18K8hk+fPo2TJ0/qW0PFlStX0KpVK1y+fBmAftssJCREmHZi8i4ixTxArLjHMc9wEOn8nDlzBsHBwfrWUHHt2jUMHz4cDx8+1LcKYmNj9a3AMMLFveSIFAPVIVJcVIdIscDQEP3ciRZbkyNSnFWHpmIvJzUNgP3796NJkybo0aMHBg8ejGvXrunNZc+ePahZsyacnZ0REBCgNw+ZvXv3wt7eHo0aNcLOnTvx/PlzvbkcOHAADg4O6NOnD8aNG4cnT54A0E9y6tixY+jatSt2796tN4fk7N+/Hw4ODvjf//6HXr16Yf/+/Xrz2rt3L2rUqIHWrVvjn3/+0fnjq/Oxt7eHk5MTzpw5g+vXrwOAXj7UHjp0CPXr10eXLl3w3XffwdfXF4D+Xj9Hjx7FoEGDcPbsWb16MLpFpJgHiBX3OOalz5EjRzBx4kTcvn1brx4y+/fvR8uWLdG3b19MmDABL1680JuL/Bpu1aoVLl68qDeP5D6VK1dGw4YNsWzZMkRGRurNRb7eDBw4ED/99BOioqL05sIxL+8iWtxLjkgxUB0ixUV1iBYrkyNa3EyNSHFUHaLF1uSIFGfVofHYS4yw3Lx5k5o2bUp2dnb0ww8/0MaNG6latWrUqVMnev36tU5d/Pz8qGTJklSiRAmaNm0aRURE6PTxU7Nt2zYqVqwYFS1alH7++Wd6/PgxWVhY0MWLF/XiM3/+fCpXrhxNnz6dtm7dSrVr1yYnJye6d+8eERElJibqxOP169c0cOBAsrOzo2LFitHXX3+tk8dNjwcPHlDLli2pbNmy9OOPP9L+/fvJ2dmZ6tWrR0FBQTp1uXnzJhUvXpyKFClC06dP1/treN++ffTFF19QsWLFaO7cufTy5UsqW7Ys/f7770Sku9eMzLp166h8+fI0Y8YMOnjwILm6ulKZMmXoypUrOvUgInrx4gX17duXihUrRoUKFaJp06bp3IHRPSLFPCKx4h7HvPR58uQJ9erViwoXLkzGxsa0fv16nT22Ovz8/Khx48ZUqlQpmjJlCi1YsICKFClCXl5eFBYWplMXX19fsrW1JWtra5o6dare4966devI2tqaihQpQj///DP5+/tTvnz56OHDhzp3iYuLo8mTJ1PZsmVp6tSptHTpUrK1taVevXqpPp/o6nXMMS/vIlrcS45IMVAdosVFdYgUK5MjWtxMjUhxVB2ixVaipNeSSHFWHdqKvZzUFBgfHx8aP348PX78WLXM29ubqlevTv/++69OXQ4fPkwKhYL8/f1Vy4KCgiguLk6nHkREkZGRNHLkSFqxYoXq8V++fElffvklLV68mIh0EyTkx3jz5g1VqlSJ1q1bp1p3+/ZtqlGjBnXu3FknDjLh4eHUrVs32rlzJ82ePZsaNWpER44cISKihIQErbqo87lx4waNHTuW7t+/r1q2b98+qly5Mv399986dbl37x4pFArau3evatndu3cpPDxcqx7qfKKjo2n+/Pm0cuVK1Ws4MTGRatWqRRMmTCAi7bZX6nMTFhZG1apVo3nz5qmWhYSEUPPmzalZs2b04cMHrbmo4/Hjx9S9e3c6fPgwDRkyhFq3bk1Xr14lIt28jhn9IFLMIxIn7nHMy5jLly9Tjx496MyZM+Ti4kKdOnWiJ0+epHDWFfHx8bR161aaNGkSPXv2TLV8/PjxVK9ePYqKitKpy9KlS0mhUKjOBxHRq1evVP/r8vx8/PiRunbtSsuXL1e9jv38/Kh06dK0fft2nXnIz/nx48dUsWLFFJ8JfHx8qFKlSvTdd98RkXQOdQHHvLxJYmKicHEvOaLEQHWIEhczQrRYmRyR4mZqRIqj6hAttiZHlDibEdqKvZzUFISIiAi6dOkSxcTEqJYFBwen+ZVu2rRpNGHCBK1+yFHn8uHDB2rZsiV16NCBVq5cSVWqVKGGDRtS3bp16ejRoxQdHa0TH/kikfpi8fz5c6pYsSItW7ZMax6pXWTOnDlD1apVoxMnTqiWffjwgcqVK0cKhYIuX76sFZdPnz6p/k9MTFSdk3/++YeIpCrJNm3a0MCBA7Xy+J/zIZI+dLx58ybFdj/99BN5eHikOIe6cCEi6t27NzVq1IjmzZtHFStWpHr16pG9vT2tWrVKq8nN5D7pvXffvXtHjo6ONGbMGK0GQ3Xn5tGjR1SnTh3auHGjyjEmJoYaNGhACoVCq4EwKipK9Yu1THR0tCoRfu3aNapTpw7NmTNHaw6M7lHX7q9fv9ZLzEvPR19xT51LanQV89S56CvmEUkx5datWymukW/evKHbt28TEdHJkyepVKlS9Mcff2jN4XM+T548SfM6HjVqFM2fP1+r13Z1Lvfu3aNGjRqRh4cHrV+/nmrWrEmOjo7UunVrCgwM1Or7Sp2PjLzs4cOHZGVlRceOHdOaR3ouW7duJXt7e9Vrh0iqmLSwsCCFQkHPnz9P4aopkn/2kY8dGxvLMS8PoK7t3759q7e49zm3sLAwvX33y8gvvfOiq7ioDnXn79y5c3qLlcmJiopKkyB/+/at3uJmatT5BQUF6SWOqkOdnz5j6+fcZHQdZ9Whzu/333/XSuzlpKaeCQ8PJy8vLypQoADZ29tT48aNVb/oJG/MPXv2ULly5cjIyIiqV69OLi4uKTLc2nJZu3YtEUkBZPfu3aRQKMjR0ZE2btxIu3btIldXV6pevTotXbpUoy7p+cjnJvnFQj5P5cuXp9mzZxOR5n9dV+eyZs0aIpKSiJUqVaJZs2apys99fHyoU6dOVL16derZs2ca55zw7t07GjVqFFlYWKiSUOk932nTppGDgwNduHAhw+104XP8+HGyt7cnY2Njqlq1KjVu3Jh+++03ItLdufH391e9hjdt2kSnTp0iDw8Pqlq1Kk2cOFEjDlnxkZFfw/Xq1aMRI0aku52mXeRf8YKDg6lFixbk4eGhSkJfuHCBevToQQ0bNqRWrVoRkWYrRoKDg8nDw4Osra2pXr161KZNGzp69Kjax/nmm2/I1dWVbt26pXEPRrdk1O66jnnp+SSvbtdl3FPnIn8I1XXMU+dy+PBhItJ9zCOSqg+GDBlChQsXpho1apCLiwsdP35c7eM4OTmRu7s7vXjxgoi0UzGhzkddW/3xxx9UunRpMjIyoq+++op69epFf/31l85coqKiaMGCBarX8Pr162nFihXUoEEDqlOnDu3evVujLun5qGurxMREioqKImtra1q9enWa9dpyka83d+7coQIFCtCWLVtUr5H9+/eTq6srVapUiby8vDTq9PbtWxo+fDjZ29vToUOHiCj99y3HvNxFZtteV3EvK266/u6XGT917wddxMXM+smfrZ8+farzWJkcOY6XKlWKGjduTD179qSbN28SUdq4qIu4mV0/XcTRzPrduHGDiKQCEV3H1s+5qTt3uoizmfWTe2jevXtXK7GXk5p6ZsuWLWRvb0++vr509epVGjx4MJmamtL58+dTbLdhwwb66aef6OnTp+Tr60vDhw+nYsWK0cePH3Xm8ubNG1qxYkWKbsORkZE0aNAgcnR01Hg5eGbPDZH0wbVt27bk4eGhUYfULhcvXkzhcubMGSIimjVrFtnZ2VHz5s2pevXqlD9/fvr1119pzpw5VL58eY2dm7t375KLiws1aNCAGjVqRG3btlW7nXwhuHr1KrVo0UKVKNM0mfGRL1j79u2jxYsX04sXL+jGjRv0yy+/kEKh0NiYQZk9N+vWraNLly6p7sfHx9OMGTPI1tZWo9WamfUhSjpHffv2JWdnZ405ZMZFfq1s3LiRKlSoQHXr1qUqVaqQsbExLVy4kDZv3kyFChXS6LXmwoULVL9+fXJzc6Nz587R4cOHqV27duTg4KBKqiYmJqo+kB47dozq1Kmj6lLEGCaZaXe5zXUR8zLyka9LL1++pJUrV2o97mX2PSGjzZiX3OXs2bMpXOTuVT/++COVKVNG6zFPZsmSJVS9enW6ePEinThxgtq3b082Njb04MED1TaxsbFEJH0BKlu2LO3fv1+jDlnxka+rixYtoh9//JEePnxIR44coS5dulD9+vU1Ov5Wei5yhW1gYCAtXbo0xTAwISEh5OLiQu7u7hrvNZGZtpJ5+vQp1a9fn2bOnKlRh9QuFy5cSOFy584dIiLy8PAgW1tb6tixI9WqVYvMzc3pt99+I09PT2rVqpXGzs3169epadOmVLt2bapZsyYNGTJE7XYc83IfmWl7+dqui7iXVbfg4GCdxMDs+iVH298FM/KrUaNGCj85BsycOVOnsZJIej0dP36catWqRR07dqRTp07Rpk2bqGbNmtSzZ88UQ0rJCVhdxM2s+ukyjmbFLzQ0lIik2Ort7a2z2JoZt/fv36fZR9txNiO/kydPpvB79+4dEZEq4anJ2MtJTT3TqFEjGjZsmOp+YmIide/enerWrZtibIbU+Pr6Urly5VS/CmnbRf6Cp+7iu2jRIqpdu7bGJ37J6rlp1KgRjR49WqMOn3OpXbs2ffjwgWJjY+nq1as0fvx4mjdvHr18+ZKIpHPTtGlTjSXLoqKi6LvvvqNLly7R+vXrqXLlynTgwAEiSv8Xye+//56cnJzo+vXrRJTURUITv8Jlx0fm+fPnZGNjo6oG1pWL/MU3Obt376YKFSrQtWvXNOKSFZ/k9OzZk7p3767xQJ2Ri3w+4uPj6eHDhzRv3jxavHgxBQcHE5FUOVC7dm1Vd4CckpCQQOvXr6chQ4ao3idEREePHqWGDRumO8B7165dqXPnzqrhFdS1IyMumW339K5Lmo55n/ORq9sTEhJSDNkgo8m4l933hDZi3udczp07R0TSl9pr165pPeYRSTErefUNkZRsbtq0abo/Fn311Vc0ePBgevv2LRGRRseAy46P/Lretm0bVa9eXTVeojZd2rRpQ0TStTJ5TJFdRo0aRU2bNtXopAvZOTdlypShBQsWEJFmK0gycmndujUREb1//56OHj1KAwcOpDlz5qhexyNHjqQOHTpozOn169fk4eFB169fpx9++IEcHBxUP9Cnd3yOebmDzLS9ruJeVtzkz6m6iIHZ8UvvfaPN74JZ8ZPfr1FRUTqLlTKxsbH0008/0ffff6+KgUREq1evpsaNG6uuKanRZtzUhJ+24mhW/eQJd3QZWzPrlt6501aczaqf/GNraGgoHTt2TKOxl5OaekJuqIYNG6ouvvLFIygoiJRKJW3ZsiXd/ZYuXUqlSpWiR48e6c1FDngDBgygatWqUWRkZI5dsuMjr+vTp4+qyk1TZfOZdVH3xouPj6eOHTuqvljkFPk5yRfQJ0+eUJcuXcjNzS1D97Nnz1KLFi1o3LhxtHPnTmrcuLFGLmhZ9Um939atW8nOzo78/Pz05iKfh0mTJlHZsmVTXIB16SO/l8aOHUu1atVK4aYrl/TeMx4eHlS3bl2NduO5f/++6tdE+Xn6+/uTmZlZikG3iZLOza5du6h+/frk7e1NO3fupG7duul9MHMma2Sl3WW0EfNy4qOtuJed94Q2Yl5mXdQ9nqZjnvw40dHRVL16ddVEZvJjnz17loyMjFQJaNmBiGjFihVUpUoV2r9/P+3YsYOGDx+ukXOUFZ/k13D5/x9++IHKlCmjkR4KmXFR17NFPkdubm7k6Oio0ViTlbaSH7d169b0zTffpNheEy4xMTFZPjdEUsK+SZMm5O7urhEXGfkLbkBAQIY9aDjm5T4y2/Yy2ox7OXXTVgzMqZ+242J2/XQVK1Pj5+eniuPyuTl+/DgVKlQozeSf2o6bOfWT0UYc1aSftmJrTty0GWdz4qfOIaexVwlGLyiVSkRHR6NRo0bw9/dHfHw8jI2NER8fjzJlysDNzQ1btmxJsc+nT58QHR2NLVu2YMuWLRg2bBi+/PJLvbnExcVhw4YNuHbtGmbNmoUCBQrk2CWrPkQEY2NjEBGKFy+OxMREfPr0CQqFQqcuSqUSRAQAePPmDSIjI7Fq1SoEBQVh5syZGnGRn1PBggUBAGXLlkWrVq3w4MEDnDt3DgCQkJCQwh0AqlatisjISCxYsACDBg2Cvb09EhMTVb668gGAjx8/IiIiAlu3bsWSJUvg7u6Or776KkceOXGJiorCpk2bcPToUUyZMgVFixbNsUt2fIyMjAAApUuXRmRkJD5+/KhqP125JH/P/PvvvwgPD8fq1avh5+eHOXPmqBw1QaVKlWBpaQkiUj3uX3/9hXr16qFYsWIptpUft2nTpnj37h1GjBiB/v37w9bWFomJiRpzYrRPVtod0F7My4mPtuJeVt8T2op5mXVJ/njainny40RGRsLe3h537txBfHy86rGbNm2Khg0bYtWqVQCk65h8vejcuTOeP3+OLl26oG/fvrC0tNTI9SIrPvI1PC4uDnFxcapYM3nyZBQvXlwnLqtXr06xT3x8PBISErB27VoEBQVh1qxZGo01WWkrpVKJhIQEFChQAPny5UuxvSZcIiIiMnVu5Fj8/v17REdHY+3atQgPD8eUKVM04iJTuHBhAECdOnVQt25dBAQE4Pr16wCQ4rXJMS/3kVHbp/5squ24lxW31K83bcbAnPppOy5m109XsTI1devWVcVx+Rp/6tQptGrVCubm5im21XbczKkfoL04qik/bcbWnLhpM87mxC+5g8Zib7ZSocxnkUuT06vgkzPXy5cvp7p166oGgpa7Bh88eJBMTU1V3b337NlDo0ePpgoVKlDJkiVpyZIlenPZsWMHDR06lMqWLUs2Nja0YsWKTLtow0fevkuXLtSxY8csjU+iaZfg4GCaNWsWlSpVikqUKKEalFcTLuomirh16xa5uLhQnz591B5z3759VKRIESpRooRqUh59+Zw8eZK+//571Wt40aJFenM5fvw4DR8+XPUa9vb2zrSLNnzkbYYPH07Ozs6qMUf04RITE0Nz5syhUqVKUfHixbM8i2RGPgkJCWm6W8n3O3fuTFOnTlW77+bNm8nMzIxKlSqV5dcxoxs03e579+7NdszThs+uXbuyHfc07SJvp+mYlx2X169fZzvmEREdPnyYbty4oeqCl/zYyWPwhAkTqEmTJmmqIL29valEiRIp9lu7di0VLFiQ7Ozssnz90rTP5s2bafjw4VShQgWysbHJ0vVL0y7r16+n7777jsqVK0e2trZZHvpF0z7y9g4ODtS3b1+9uty/f59+/PFHsrOzI2tra9VkepmpaMnIJfl7Kvm6M2fOUJMmTWjSpElqj8kxzzDQdNvnNO5p0y0nMVAXfjmJi7rwy2mszI5b6gljWrRoQStXrkyzjihncVPbflu2bMl2HNWF34YNG3IUW7XpJm+fnTirC78HDx5kO/amhpOaGiQmJoYWLVpERkZGVLJkyTTrExMT03zwCg4Opnbt2lHXrl1TbHvkyBEqU6aMqmvuo0ePaN68ebRjxw69u9y/f59mzpxJ27Zty5SLtnwCAgKIKOkNldmuw9pw8ff3V7n4+PjQzp07teIil23LH9gTExNpwYIFZG9vT4GBgUREKcrxb9y4kaWLqzZ85LEZX7x4QWvXrs30jHDadHn27Bl5e3vT9u3bM+WiLR+5reRtMjv+irZfN35+frRnz55MuWjCJzg4mIoWLUpXrlxRbZN8LJ+rV6/m6MM9ox200e7yD0b37t3LUszTts/t27ezFPe0+Z6QnbQV8zLjIo8XFhMTk6WYRyTNGjp16lSytLSk2rVrU7ly5ahNmzaqcdvi4uLSJF3v3btHX331FX3//fcplq9YsSLNuG4HDhzI0qy82vB5/PgxERHdvHmTJk6cmOnXjTZdAgICaMSIEbR169ZMnhnttxWRNImBvlzk4RTCw8Np586d9Mcff2jFRY7tyccpHDZsGDVv3lz1Q0NISIhqe4554qKNtpev5Xfv3s1y3NOV261bt7L83U8XfvL7JqtxUVd+cpFCdHR0lmOlJtzkZXfu3CErK6sUk9okH1Yqq3FTF37y54zr169nKY7q2u/atWtZjq3adpPbVv6b2TirKz/58+yHDx+yFHszgpOaGiI2NpaWLl1KTZo0odGjR1PBggVp165dRJS2IuL69evk5uZG9vb2FBcXR+vXr6eyZcvS8uXLVdtMnz6dHBwcsjUwuEguovnkBhf51xH5V4yAgABydnamrl27Uv/+/cnW1lY1W64IPjY2Nln20aZLdj7wiNRWIrlowodImkm5SZMmRET077//0vDhw6lZs2ZZdmF0h7bavWnTpgbvI9J7QiQXIml22sGDB1OzZs3o4MGDFBYWRrt27aLy5cvT5MmT0/h07NhRNT7aDz/8QNWrV0/xg4uXl5dqvaH7iOQimk9ucJHHHpTfd0ePHqWmTZuSl5cX9e3bl8qUKZMtH0Z3aKvtS5cunavdtOmnqfeNyOcvu27Jq1WHDBlCnTp1IiIpjo8ePVo1xqKofl9//XWu98urbaspv+RwUlOD7N27l3bu3Env3r2jb7/9VjXhR3LmzJlDRYoUof79+6sqpMLCwuiXX34hExMTcnFxoW7dupGlpWWOyr9FchHNx5Bdbty4kWb9qVOnqFSpUqRQKKhFixZ04sSJXOEjkotoPiK55NQnMjKS2rZtS0OGDCFPT08yNjYmBwcHOnPmTLZ9GN0gWruL5MMu6gkLC6PBgwenqdgfO3ZsitmxR4wYQYUKFaJ+/fqpfJ4/f06jR48mhUJB/fr1o+7du1PRokVz9Au/SD4iuYjmY+gud+7cSXMcHx8fsrCwIIVCQc2bN6fjx49ny4fRHdpu+5xM4CGymy78corIfjl1e/fuHTk6OtLs2bNp0KBBZGJiQg0aNKC//vorx27sl3vdDMEvOZzUzAYXL16kY8eOqe6nHh+IiMjX15eMjIzo5MmTRJRUZvvgwQN6/vy52uMePXqUJk+eTIMGDaKbN28anItoPnnBZcmSJWRmZkadOnVKUdZtSD4iuYjmI5KLtnwePXpECoWCFAoFubm50d9//51pH0Y3iNbuIvmwS+Z9iKQvxh8/fkyzrYuLC40cOVJ1/8aNG2m6Kcts3ryZhg0bRn379qVbt24ZpI9ILqL55AWXKVOmkEKhoO7du2cpBjO6Q+S2F9mN/cRr27/++ksVx9u3b5+jz9nsl30/kd0Mwe9zcFIzC9y9e5e6dOlCCoWCbG1tU4x/IyP/khUZGUkdO3ZUddFK/qUivX0M1UU0n7zgIn9ZffLkSYqxEA3JRyQX0XxEctGmj3zslStXZsmH0Q2itbtIPuySMx/ZKSEhgT5+/EiVK1dWDRCfHqkHnjdEH5FcRPPJCy5yDL579y69fPkyUy6MbhG57UV2Yz/x2la+3l26dInmzZuXrSGm2C/nfiK7GYJfZtHOXPO5kOjoaBw9ehQKhQLbt29HeHg49u/fn2Y7eYr6AgUKwMvLC+fPn4e/vz+MjIxARGqPnXxae0NzEc0nr7goldJbt2zZsihevLjB+YjkIpqPSC7a9gGAypUrY8iQIZn2YXSDaO0ukg+75NxHRqlUwt/fH9HR0ejSpUuGx04egzMbj0XyEclFNJ+84iLH4MqVK6NkyZKfdWF0i8htL7Ib+4nZtvL1rlGjRhg3bhyKFSuWZTf2y5mfyG6G4JcltJ42zUVcuHBBNQO4p6cnVa9enSIiItLdPiwsjJo3b07/+9//iEga10eeDS03uYjmwy6G4SOSi2g+IrmI6MPoBtHaXSQfdsm5j1zd0rdv3xSDxsfFxam6xec2H5FcRPNhF0YERG57kd3YL/e6sV/udTMEv8zCSc1scv/+fTI2Nk4xm6I69u7dS0ZGRtS3b18yMjKiH3/8kaKjo3Oti2g+7GIYPiK5iOYjkouIPoxuEK3dRfJhl+z7vHnzhsqVK0cXLlyg8PBwmjFjBimVStq3b5/GXUTzEclFNB92YURA5LYX2Y39cq8b++VeN0PwywhOav5HbGxsprZLTExUjRPQo0cPcnR0TPeLwK1bt6hTp06kUCjI0dGRdu7caXAuovmwi2H4iOQimo9ILiL6MLpBtHYXyYdddOezadMmKl68OPXt25cKFSpENWvWzNKs1CL5iOQimg+7MCIgctuL7MZ+3LbsZ3huhuCnSfJ8UjMwMJB69+5NvXr1oilTpqQYDD8xMTHDctpr166RUqlUzSKanKCgIGrfvj3Vr1+fLl26ZHAuovmwi2H4iOQimo9ILiL6MLpBtHYXyYdddOcjd2Py8vIihUJBrq6udObMGYP0EclFNB92YURA5LYX2Y39uG3Zz/DcDMFPG+TZpOa7d+/Iy8uLihUrRv369aOZM2eSpaUl9ezZk+7fv59m+3379qmdhr5Nmzbk5uZG4eHhdOLECTpy5EiKxzA0F9F82MUwfERyEc1HJBcRfRjdIFq7i+TDLrr3OXr0KBER3bx5kx49emSQPiK5iObDLowIiNz2IruxH7ct+xmemyH4aZM8m9Tct28fderUiY4dO6Zadv78eSpfvjz5+Piolq1atYrKlClDFhYWdPr06TTH+fPPP0mhUFCZMmVIoVDQ6tWrKSEhQVXCa2guovmwi2H4iOQimo9ILiL6MLpBtHYXyYdd9OOTnWuFSD4iuYjmwy6MCIjc9iK7sR+3LfsZnpsh+GmTPJPUvHfvXoqxAXx9fWn//v2qcloiopiYGCpUqBCdOHGCiIgePnxI3333HS1dupQ+fvyY4ngxMTG0cuVKsrGxoaJFi9LMmTMznG1UVBfRfNjFMHxEchHNRyQXEX0Y3SBau4vkwy7sw22Ve8+NSC6MbhG57UV2Yz9uW/YzPDdD8NMluTqpmZCQQD/99BPZ2dlR/fr1qVGjRrRly5Y028mZZ19fX6pQoQI9fvxYtTy9rPTz589p0KBBNGPGDINzEc2HXQzDRyQX0XxEchHRh9ENorW7SD7swj7Z8RHJRTQfdmFEQOS2F9mN/bht2c/w3AzBT1/k2qTmP//8Qx07dqQGDRrQtm3b6MqVK9S1a1eqU6cOnT9/noiI4uPjU+zz22+/UbNmzTI9U5Qhuojmwy6G4SOSi2g+IrmI6MPoBtHaXSQfdmEfQ3cRzYddGBEQue1FdmO/3OvGfrnXzRD89EmuS2rKmWcfHx/65ptv6Nq1a6p19+7do2bNmtG6devU7letWjVatGhRrnQRzYddDMNHJBfRfERyEdGH0Q2itbtIPuzCPobuIpoPuzAiIHLbi+zGfrnXjf1yr5sh+IlArkhqXr9+nebOnUu+vr6qWT0fP35MQUFBKbb79OkTFS5cmA4ePKhaJr9Izpw5Q8WLF6ewsDAiIrp79y4tWLCAXr9+bbAuovmwi2H4iOQimo9ILiL6MLpBtHYXyYdd2IfbKveeG5FcGN0ictuL7MZ+3LbsZ3huhuAnGgab1ExMTKQPHz5Q//79qUCBAuTo6EilSpUiBwcHCgkJSbMtkTSmwJdffkkPHjxIc7yZM2fS4MGD6a+//iIXFxdSKBTUv39/+vDhg0G5iObDLobhI5KLaD4iuYjow+gG0dpdJB92YR9uq9x7bkRyYXSLyG0vshv7cduyn+G5GYKfyBhsUpMoaYr6gIAAio+Pp5s3b5KNjQ0NGjSInj9/TkRSg8uN/vPPP1P79u3THCc0NFQ1Zb2JiQn17duXXr16ZbAuovmwi2H4iOQimo9ILiL6MLpBtHYXyYdd2IfbSrM+7MKIgMhtL7Ib+3Hbsp/huRmCn6gYdFJz/Pjx5ODgkCLbvGPHDqpcuTKtXLkyzfZVqlSh5cuXp1n+6tUrat68OS1YsIA+ffpk8C6i+bCLYfiI5CKaj0guIvowukG0dhfJh13Yx9BdRPNhF0YERG57kd3YL/e6sV/udTMEP1ERPqkZHx9Pv/zyC/Xp04cWLVpEd+7cUa2bNm0aVa5cmYiI4uLiVMtdXV2pR48eqmw2EdHx48fJxsaGwsPDKTY2lpYsWUK1atWily9fGqSLaD7sYhg+IrmI5iOSi4g+jG4Qrd1F8mEX9uG2yr3nRiQXRreI3PYiu7Efty37GZ6bIfgZIsImNePj42ndunVka2tLjRo1Ii8vL6pYsSJVrFhRNUDq2bNnycjIiO7du0dERDExMUREtGHDBrK3t6e//vqLiKQS3bFjx5KbmxvNnDmTrKysqGzZsrR69WoiIkpISDAYF9F82MUwfERyEc1HJBcRfRjdIFq7i+TDLuzDbZV7z41ILoxuEbntRXZjP25b9jM8N0PwM2SETWq+e/eOHB0dacWKFapGiYuLo0KFCqmmrH/8+DHVq1ePvv76ayJKavTY2FjKnz8/HTp0iIiIwsPDqUKFCqRQKKhu3bq0b98+g3URzYddDMNHJBfRfERyEdGH0Q2itbtIPuzCPtxWuffciOTC6BaR215kN/bLmZ/IbuyXMz+R3QzBz5ARNqlJRDR37lzVFPZygzZv3pxGjBihWrZixQoyMTFJMeNTcHAw2djY0KpVq4hIegF5e3vT9evXc4WLaD7sYhg+IrmI5iOSi4g+jG4Qrd1F8mEX9jF0F9F82IURAZHbXmQ39su9buyXe90Mwc9QETqpmZpPnz5R2bJl6ejRo6plISEh1KxZM2rcuDEdP36ciIhWrlxJNWvW1OoMTyK5iObDLobhI5KLaD4iuYjow+gG0dpdJB92YR9DdxHNh10YERC57UV2Y7/c68Z+udfNEPwMBeGTmsnHA/Dx8aEKFSrQv//+m2L506dPqXXr1mRjY0M1a9akfPny0cKFCzU+loBILqL5sIth+IjkIpqPSC4i+jC6QbR2F8mHXdjH0F1E82EXRgREbnuR3dgv97qxX+51MwQ/Q0RBRATBSUhIgJGREQYPHoxXr17h0KFDqnVEBIVCgYiICPz999948uQJunfvDjMzs1zvIpoPuxiGj0guovmI5CKiD6MbRGt3kXzYhX0M3UU0H3ZhREDkthfZjf1yrxv75V43Q/AzOHSQONUI79+/p1KlSpGPjw8REUVFRdGePXvo/v37edpFNB92MQwfkVxE8xHJRUQfRjeI1u4i+bAL+xi6i2g+7MKIgMhtL7IbEfvlBJHdiNgvJ4jsRiS+nyGh1HdSNbOcPHkSX375JapWrYqpU6eiWLFimDBhQp53Ec2HXQzDRyQX0XxEchHRh9ENorW7SD7swj6G7iKaD7swIiBy24vsBrBfThDZDWC/nCCyGyC+n0Gh76xqZkhMTKQuXbqQQqGgfPnyUfXq1VXT2edlF9F82MUwfERyEc1HJBcRfRjdIFq7i+TDLuxj6C6i+bALIwIit73IbkTslxNEdiNiv5wgshuR+H6GhrG+k6qZQaFQoFq1aoiIiMDcuXPx1VdfsYuAPuxiGD4iuYjmI5KLiD6MbhCt3UXyYRf2MXQX0XzYhREBkdteZDeA/XKCyG4A++UEkd0A8f0MDYOYKAgAEhMToVSK0VteJBdALB92SR+RfERyAcTyEckFEM+H0Q2itbtIPuySPuyTPiK5AGL5sAsjAiK3vchuAPvlBJHdAPbLCSK7AeL7GRIGk9RkGIZhGIZhGIZhGIZhGIYBAE4NMwzDMAzDMAzDMAzDMAxjUHBSk2EYhmEYhmEYhmEYhmEYg4KTmgzDMAzDMAzDMAzDMAzDGBSc1GQYhmEYhmEYhmEYhmEYxqDgpCbDMAzDMAzDMAzDMAzDMAYFJzUZhmEYhmEYhmEYhmEYhjEoOKnJMAzDMAzDMAzDMAzDMIxBwUlNhmEYhmEYhmEYhmEYhmEMCk5qMgzDMAzDMAzDMAzDMAxjUHBSk2EYhmEYhmEYhmEYhmEYg+L/oB2AP6Z/MbsAAAAASUVORK5CYII=\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# NHITS, AutoFormer, PatchTST, iTransformer, FEDformer with Parquet & Backtesting" + ], + "metadata": { + "id": "n7g4JZhQOSxl" + } + }, + { + "cell_type": "markdown", + "source": [ + "### Prep" + ], + "metadata": { + "id": "YVHZ5cbQPKaq" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install yfinance neuralforecast" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NyGsNKWIPMXq", + "outputId": "5d85c931-0a8b-4bb6-8cae-f3b503f9b4ee" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: yfinance in /usr/local/lib/python3.10/dist-packages (0.2.51)\n", + "Collecting neuralforecast\n", + " Downloading neuralforecast-2.0.0-py3-none-any.whl.metadata (14 kB)\n", + "Requirement already satisfied: pandas>=1.3.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.2.2)\n", + "Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.26.4)\n", + "Requirement already satisfied: requests>=2.31 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.32.3)\n", + "Requirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.10/dist-packages (from yfinance) (0.0.11)\n", + "Requirement already satisfied: lxml>=4.9.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (5.3.0)\n", + "Requirement already satisfied: platformdirs>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.3.6)\n", + "Requirement already satisfied: pytz>=2022.5 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2024.2)\n", + "Requirement already satisfied: frozendict>=2.3.4 in /usr/local/lib/python3.10/dist-packages (from yfinance) (2.4.6)\n", + "Requirement already satisfied: peewee>=3.16.2 in /usr/local/lib/python3.10/dist-packages (from yfinance) (3.17.8)\n", + "Requirement already satisfied: beautifulsoup4>=4.11.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (4.12.3)\n", + "Requirement already satisfied: html5lib>=1.1 in /usr/local/lib/python3.10/dist-packages (from yfinance) (1.1)\n", + "Collecting coreforecast>=0.0.6 (from neuralforecast)\n", + " Downloading coreforecast-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.8 kB)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2024.10.0)\n", + "Requirement already satisfied: torch>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from neuralforecast) (2.5.1+cu121)\n", + "Collecting pytorch-lightning>=2.0.0 (from neuralforecast)\n", + " Downloading pytorch_lightning-2.5.0.post0-py3-none-any.whl.metadata (21 kB)\n", + "Collecting ray>=2.2.0 (from ray[tune]>=2.2.0->neuralforecast)\n", + " Downloading ray-2.40.0-cp310-cp310-manylinux2014_x86_64.whl.metadata (17 kB)\n", + "Collecting optuna (from neuralforecast)\n", + " Downloading optuna-4.1.0-py3-none-any.whl.metadata (16 kB)\n", + "Collecting utilsforecast>=0.2.3 (from neuralforecast)\n", + " Downloading utilsforecast-0.2.10-py3-none-any.whl.metadata (7.4 kB)\n", + "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4>=4.11.1->yfinance) (2.6)\n", + "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (1.17.0)\n", + "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from html5lib>=1.1->yfinance) (0.5.1)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.3.0->yfinance) (2024.2)\n", + "Requirement already satisfied: tqdm>=4.57.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (4.67.1)\n", + "Requirement already satisfied: PyYAML>=5.4 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (6.0.2)\n", + "Collecting torchmetrics>=0.7.0 (from pytorch-lightning>=2.0.0->neuralforecast)\n", + " Downloading torchmetrics-1.6.1-py3-none-any.whl.metadata (21 kB)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (24.2)\n", + "Requirement already satisfied: typing-extensions>=4.4.0 in /usr/local/lib/python3.10/dist-packages (from pytorch-lightning>=2.0.0->neuralforecast) (4.12.2)\n", + "Collecting lightning-utilities>=0.10.0 (from pytorch-lightning>=2.0.0->neuralforecast)\n", + " Downloading lightning_utilities-0.11.9-py3-none-any.whl.metadata (5.2 kB)\n", + "Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (8.1.8)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (3.16.1)\n", + "Requirement already satisfied: jsonschema in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (4.23.0)\n", + "Requirement already satisfied: msgpack<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.1.0)\n", + "Requirement already satisfied: protobuf!=3.19.5,>=3.15.3 in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (4.25.5)\n", + "Requirement already satisfied: aiosignal in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.3.2)\n", + "Requirement already satisfied: frozenlist in /usr/local/lib/python3.10/dist-packages (from ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (1.5.0)\n", + "Collecting tensorboardX>=1.9 (from ray[tune]>=2.2.0->neuralforecast)\n", + " Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl.metadata (5.8 kB)\n", + "Requirement already satisfied: pyarrow>=9.0.0 in /usr/local/lib/python3.10/dist-packages (from ray[tune]>=2.2.0->neuralforecast) (17.0.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.4.1)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (3.10)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2.3.0)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.31->yfinance) (2024.12.14)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.4.2)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (3.1.5)\n", + "Requirement already satisfied: sympy==1.13.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.0.0->neuralforecast) (1.13.1)\n", + "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy==1.13.1->torch>=2.0.0->neuralforecast) (1.3.0)\n", + "Collecting alembic>=1.5.0 (from optuna->neuralforecast)\n", + " Downloading alembic-1.14.0-py3-none-any.whl.metadata (7.4 kB)\n", + "Collecting colorlog (from optuna->neuralforecast)\n", + " Downloading colorlog-6.9.0-py3-none-any.whl.metadata (10 kB)\n", + "Requirement already satisfied: sqlalchemy>=1.4.2 in /usr/local/lib/python3.10/dist-packages (from optuna->neuralforecast) (2.0.36)\n", + "Collecting Mako (from alembic>=1.5.0->optuna->neuralforecast)\n", + " Downloading Mako-1.3.8-py3-none-any.whl.metadata (2.9 kB)\n", + "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/lib/python3.10/dist-packages (from fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (3.11.11)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from lightning-utilities>=0.10.0->pytorch-lightning>=2.0.0->neuralforecast) (75.1.0)\n", + "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from sqlalchemy>=1.4.2->optuna->neuralforecast) (3.1.1)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.0.0->neuralforecast) (3.0.2)\n", + "Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (24.3.0)\n", + "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (2024.10.1)\n", + "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (0.35.1)\n", + "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema->ray>=2.2.0->ray[tune]>=2.2.0->neuralforecast) (0.22.3)\n", + "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (2.4.4)\n", + "Requirement already satisfied: async-timeout<6.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (4.0.3)\n", + "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (6.1.0)\n", + "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (0.2.1)\n", + "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning>=2.0.0->neuralforecast) (1.18.3)\n", + "Downloading neuralforecast-2.0.0-py3-none-any.whl (256 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m256.8/256.8 kB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading coreforecast-0.0.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (275 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m275.6/275.6 kB\u001b[0m \u001b[31m25.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading pytorch_lightning-2.5.0.post0-py3-none-any.whl (819 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m819.3/819.3 kB\u001b[0m \u001b[31m37.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading ray-2.40.0-cp310-cp310-manylinux2014_x86_64.whl (66.8 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.8/66.8 MB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading utilsforecast-0.2.10-py3-none-any.whl (41 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.7/41.7 kB\u001b[0m \u001b[31m3.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading optuna-4.1.0-py3-none-any.whl (364 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m364.4/364.4 kB\u001b[0m \u001b[31m28.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading alembic-1.14.0-py3-none-any.whl (233 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m233.5/233.5 kB\u001b[0m \u001b[31m22.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading lightning_utilities-0.11.9-py3-none-any.whl (28 kB)\n", + "Downloading tensorboardX-2.6.2.2-py2.py3-none-any.whl (101 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.7/101.7 kB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading torchmetrics-1.6.1-py3-none-any.whl (927 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m927.3/927.3 kB\u001b[0m \u001b[31m51.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hDownloading colorlog-6.9.0-py3-none-any.whl (11 kB)\n", + "Downloading Mako-1.3.8-py3-none-any.whl (78 kB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.6/78.6 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25hInstalling collected packages: tensorboardX, Mako, lightning-utilities, coreforecast, colorlog, alembic, utilsforecast, torchmetrics, optuna, ray, pytorch-lightning, neuralforecast\n", + "Successfully installed Mako-1.3.8 alembic-1.14.0 colorlog-6.9.0 coreforecast-0.0.15 lightning-utilities-0.11.9 neuralforecast-2.0.0 optuna-4.1.0 pytorch-lightning-2.5.0.post0 ray-2.40.0 tensorboardX-2.6.2.2 torchmetrics-1.6.1 utilsforecast-0.2.10\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Train" + ], + "metadata": { + "id": "V49d8aadPNfl" + } + }, + { + "cell_type": "code", + "source": [ + "# ===================== SINGLE CODE CELL START =====================\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Nixtla library imports\n", + "from neuralforecast import NeuralForecast\n", + "from neuralforecast.models import NHITS, Autoformer, PatchTST, FEDformer, iTransformer\n", + "from neuralforecast.losses.pytorch import MAE\n", + "\n", + "# 0) Load or verify your previously-cleaned DataFrame with columns [ds, unique_id, y, ...]\n", + "FILTERED_PARQUET = \"filtered_features.parquet\"\n", + "df_filtered = pd.read_parquet(FILTERED_PARQUET)\n", + "\n", + "# Basic checks for columns\n", + "required_cols = {\"ds\", \"unique_id\", \"y\"}\n", + "if not required_cols.issubset(df_filtered.columns):\n", + " raise ValueError(f\"DataFrame must have columns {required_cols}.\")\n", + "\n", + "# Convert ds to datetime if not already\n", + "df_filtered[\"ds\"] = pd.to_datetime(df_filtered[\"ds\"], errors=\"coerce\")\n", + "if df_filtered[\"ds\"].isna().any():\n", + " raise ValueError(\"Some rows in 'ds' are invalid dates (NaT).\")\n", + "\n", + "print(f\"[INFO] filter_features.parquet loaded: shape={df_filtered.shape}\")\n", + "print(df_filtered.head(3))\n", + "\n", + "# 1) Define how many distinct series we have, needed by iTransformer\n", + "n_series_count = df_filtered[\"unique_id\"].nunique()\n", + "print(f\"[INFO] n_series_count = {n_series_count} (for iTransformer).\")\n", + "\n", + "# 2) Cross-validation parameters\n", + "FREQ = \"B\" # Use 'B' for business daily, or 'D' for daily\n", + "HORIZON = 14\n", + "N_WINDOWS = 2\n", + "VAL_SIZE = 14\n", + "STEP_SIZE = 14\n", + "\n", + "# 3) Instantiate multiple models\n", + "# Minimal hyperparams for demonstration. Adjust as needed.\n", + "model_nhits = NHITS(\n", + " h=HORIZON,\n", + " input_size=HORIZON*2,\n", + " max_steps=200,\n", + " loss=MAE(),\n", + " alias=\"NHITS\" # Tag for clarity\n", + ")\n", + "\n", + "model_autoformer = Autoformer(\n", + " h=HORIZON,\n", + " input_size=HORIZON*2,\n", + " max_steps=200,\n", + " loss=MAE(),\n", + " #n_heads=4,\n", + " #d_model=128,\n", + " alias=\"Autoformer\"\n", + ")\n", + "\n", + "model_patchtst = PatchTST(\n", + " h=HORIZON,\n", + " input_size=HORIZON*2,\n", + " max_steps=200,\n", + " loss=MAE(),\n", + " patch_len=16,\n", + " stride=8,\n", + " alias=\"PatchTST\"\n", + ")\n", + "\n", + "model_fedformer = FEDformer(\n", + " h=HORIZON,\n", + " input_size=HORIZON*2,\n", + " max_steps=200,\n", + " loss=MAE(),\n", + " #n_heads=4,\n", + " #d_model=128,\n", + " alias=\"FEDformer\"\n", + ")\n", + "\n", + "model_itransformer = iTransformer(\n", + " n_series=n_series_count, # CRITICAL\n", + " h=HORIZON,\n", + " input_size=HORIZON*2,\n", + " max_steps=200,\n", + " loss=MAE(),\n", + " n_heads=4,\n", + " #d_model=128,\n", + " alias=\"iTransformer\"\n", + ")\n", + "\n", + "# Build the NeuralForecast container\n", + "nf = NeuralForecast(\n", + " models=[\n", + " model_nhits,\n", + " model_autoformer,\n", + " model_patchtst,\n", + " model_fedformer,\n", + " model_itransformer\n", + " ],\n", + " freq=FREQ\n", + ")\n", + "\n", + "print(f\"[INFO] cross_validation on {n_series_count} series, \"\n", + " f\"n_windows={N_WINDOWS}, val_size={VAL_SIZE}, step_size={STEP_SIZE}.\\n\")\n", + "\n", + "# 4) Cross-validation\n", + "df_cv = nf.cross_validation(\n", + " df=df_filtered,\n", + " n_windows=N_WINDOWS,\n", + " val_size=VAL_SIZE,\n", + " step_size=STEP_SIZE,\n", + " refit=True\n", + ")\n", + "\n", + "print(\"[INFO] cross_validation completed. df_cv shape:\", df_cv.shape)\n", + "print(df_cv.head())\n", + "\n", + "# 5) Compute basic error metrics per model\n", + "def compute_metrics(sub_df, model_col):\n", + " \"\"\"Compute MSE, MAE, sMAPE for sub_df with columns: y, .\"\"\"\n", + " y_true = sub_df[\"y\"].values\n", + " y_pred = sub_df[model_col].values\n", + "\n", + " # MSE\n", + " mse = np.mean((y_true - y_pred) ** 2)\n", + " # MAE\n", + " mae = np.mean(np.abs(y_true - y_pred))\n", + " # sMAPE\n", + " denom = np.abs(y_true) + np.abs(y_pred)\n", + " smape = np.mean(np.where(denom != 0, 2.0 * np.abs(y_true - y_pred)/denom, 0)) * 100.0\n", + " return mse, mae, smape\n", + "\n", + "# Identify which columns belong to which model\n", + "# Nixtla's cross_validation typically returns columns named exactly by 'alias' if loss=MAE,\n", + "# or 'alias-median' if using quantile losses. We'll see which appear:\n", + "all_cols = df_cv.columns\n", + "model_cols = []\n", + "for alias_name in [\"NHITS\", \"Autoformer\", \"PatchTST\", \"FEDformer\", \"iTransformer\"]:\n", + " # Check if exact alias_name is in df_cv; if not, check if alias_name+'-median'\n", + " if alias_name in all_cols:\n", + " model_cols.append(alias_name)\n", + " elif alias_name + \"-median\" in all_cols:\n", + " model_cols.append(alias_name + \"-median\")\n", + "\n", + "print(\"\\n[DEBUG] Found forecast columns in df_cv:\", model_cols)\n", + "\n", + "# 6) Summarize metrics\n", + "metrics_result = []\n", + "for mc in model_cols:\n", + " sub_df = df_cv.dropna(subset=[mc])\n", + " if len(sub_df) == 0:\n", + " continue\n", + " mse_, mae_, smape_ = compute_metrics(sub_df, mc)\n", + " metrics_result.append((mc, mse_, mae_, smape_))\n", + "\n", + "print(\"\\n=== Cross-Validation Error Metrics (Table) ===\")\n", + "print(\"Model | MSE MAE sMAPE(%)\")\n", + "for (mc, mse_, mae_, smape_) in metrics_result:\n", + " print(f\"{mc:18s}| {mse_:10.4f} {mae_:10.4f} {smape_:10.3f}\")\n", + "\n", + "# 7) Graphical leaderboard (bar chart for MSE, MAE, sMAPE)\n", + "if metrics_result:\n", + " # Create dictionaries for each metric\n", + " models_ = [res[0] for res in metrics_result]\n", + " mses_ = [res[1] for res in metrics_result]\n", + " maes_ = [res[2] for res in metrics_result]\n", + " smapes_ = [res[3] for res in metrics_result]\n", + "\n", + " fig, axes = plt.subplots(1, 3, figsize=(13, 4))\n", + "\n", + " # MSE bar\n", + " axes[0].bar(models_, mses_, color='skyblue')\n", + " axes[0].set_title(\"MSE (lower=better)\")\n", + " axes[0].tick_params(axis='x', rotation=45)\n", + "\n", + " # MAE bar\n", + " axes[1].bar(models_, maes_, color='lightgreen')\n", + " axes[1].set_title(\"MAE (lower=better)\")\n", + " axes[1].tick_params(axis='x', rotation=45)\n", + "\n", + " # sMAPE bar\n", + " axes[2].bar(models_, smapes_, color='salmon')\n", + " axes[2].set_title(\"sMAPE% (lower=better)\")\n", + " axes[2].tick_params(axis='x', rotation=45)\n", + "\n", + " fig.suptitle(\"Leaderboard of Models by CV Metrics\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "# 8) Example final plot for ONE model with naive buy/sell/hold markers\n", + "# We'll pick the first ID. We'll pick e.g. \"NHITS\" as the demonstration model.\n", + "if len(df_cv[\"unique_id\"].unique()) > 0 and len(model_cols) > 0:\n", + " # pick the first ID\n", + " first_id = df_cv[\"unique_id\"].unique()[0]\n", + " # pick the first model col (or whichever you want)\n", + " chosen_model_col = model_cols[0]\n", + " sub_plot = df_cv[df_cv[\"unique_id\"] == first_id].copy()\n", + " sub_plot = sub_plot.dropna(subset=[chosen_model_col])\n", + " sub_plot.sort_values(\"ds\", inplace=True)\n", + "\n", + " # We'll look at last 40 points\n", + " sub_plot = sub_plot.iloc[-40:].copy()\n", + " if len(sub_plot) == 0:\n", + " print(\"[WARNING] No rows to plot for the chosen model. Skipping buy/sell plot.\")\n", + " else:\n", + " # Compute simple rule:\n", + " # If (forecast - actual)/actual > +1% => 'Buy'\n", + " # If < -1% => 'Sell'\n", + " # else => 'Hold'\n", + " actual = sub_plot[\"y\"].values\n", + " forecast = sub_plot[chosen_model_col].values\n", + " pct_diff = np.where(actual != 0, (forecast - actual)/actual * 100.0, 0.0)\n", + " signals = []\n", + " for pdiff in pct_diff:\n", + " if pdiff > 1.0:\n", + " signals.append(\"Buy\")\n", + " elif pdiff < -1.0:\n", + " signals.append(\"Sell\")\n", + " else:\n", + " signals.append(\"Hold\")\n", + " sub_plot[\"signal\"] = signals\n", + "\n", + " # Let's define markers\n", + " marker_map = {\"Buy\": \"^\", \"Sell\": \"v\", \"Hold\": \"o\"}\n", + " color_map = {\"Buy\": \"green\", \"Sell\": \"red\", \"Hold\": \"gray\"}\n", + "\n", + " plt.figure(figsize=(11, 5))\n", + " plt.plot(sub_plot[\"ds\"], sub_plot[\"y\"], label=\"Actual (y)\", c=\"black\", linewidth=2)\n", + " plt.plot(sub_plot[\"ds\"], sub_plot[chosen_model_col], label=chosen_model_col, linestyle=\"--\", c=\"blue\")\n", + "\n", + " # Scatter each type with different markers\n", + " for sig_type in [\"Buy\", \"Sell\", \"Hold\"]:\n", + " sig_df = sub_plot[sub_plot[\"signal\"] == sig_type]\n", + " plt.scatter(sig_df[\"ds\"], sig_df[chosen_model_col],\n", + " marker=marker_map[sig_type],\n", + " color=color_map[sig_type],\n", + " s=100, label=sig_type if len(sig_df) > 0 else \"\")\n", + "\n", + " plt.title(f\"Final portion for {first_id} - {chosen_model_col} with Buy/Sell/Hold signals\")\n", + " plt.xlabel(\"Date\")\n", + " plt.ylabel(\"Value\")\n", + " plt.grid(True)\n", + " plt.legend()\n", + " plt.tight_layout()\n", + " plt.show()\n", + "else:\n", + " print(\"[WARNING] Could not plot buy/sell signals - no data or no model columns found.\")\n", + "\n", + "print(\"[INFO] All done!\")\n", + "# ===================== SINGLE CODE CELL END =====================" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "bbd93f4dfd894dd18c127514556276ee", + "c8d1a66d610248a9b5ae431ccf85ad71", + "11efb31ff86946cab147357c22755e99", + "46e8c0a70fe942ecbe736d24ba53a4f6", + "182a543214414ae186649197786bcafa", + "5752e257c3224622ad85e160c6fa0b2e", + "638f8ba63e3c4e0e944c1c16914a8e40", + "f8620f6d15c14fc5b939a5b363afa94b", + "c9dcde5e73fe481a80214785be7bfdc7", + "00a15fdb0aaf4f40872dd3cc13f49d78", + "647bbc3f3c5a471aaecd09bb04a3d2b7", + "6c15cb5d0764458498659aae9dc680dd", + "e03740a8bc0a4a84ab74e1452e0faa79", + "bf56afc48c1848119da9f35e706fb4a4", + "99d1535da69b475d940eedd1b8a9a24b", + "6723fc4d1fbd485d94c297707e9064bf", + "fd244f3908cd47089d6781540be156a2", + "4077c4a70a5b4de4af968df98f618d10", + "add1f192cfff426787635125c417308a", + "387d718f72d54b119c4f3d241da5fd3a", + "6ad97accfcc04161b825b2cab2f20f57", + "67735b98c6364039a83bf31515275174", + "c675704dd30947a6a13488e14dd858b3", + "77f4546846fa4d04b5e729c42ab4a5be", + "0f6bf0444fb447feaa07ac4f0528dc6a", + "1f00d50f5be245788122efe1aa058374", + "759ae9ec3278441b95bbbb349e26edbd", + "7c689e1e8f5f4b69ae7302967d03a70d", + "3d692553d2484cf093dfd80b67e214c6", + "a8f845446cf146c4abe252d5d5c2fb0c", + "0b2aca1b28934eb591efea11417fd88a", + "cd6e3dee5ef4423f890f4e4e6d6d3015", + "1544907986aa4e84a60de582de6d5833", + "e634558f6c6b4826939f7e1aeeb5ad02", + "6972882f76904fcfa36aefd8732ca6f1", + "948aa08477c7445e88107d2369d8c95b", + "7374dd420b3b4562aef0c770afb82314", + "1c66e32461e34ac3b41e215c4a8b3aec", + "a05d720655ae437c8ac92e05d2e858f4", + "ca37edb61e694ee0bfc76c1958f05f64", + "4ef6ad8a1cf34672a582e5f0cc65d360", + "1219330a89fa4155bdc5f10c7d5c247e", + "39d31dc4603344399b5e6740cbc6319f", + "97e38df9d3374487bed199564447a45d", + "429253435bd84ddbab16d52dac9e9977", + "3da5ca56029d4dfd9bb6a4ab15ff2287", + "ebc2109343fc484d842c96e0b3156de2", + "d61238386dc849f79106644984b512f7", + "6fe60defb37e479ba187e96495d5f4b8", + "8f99e17837df4aa5a3503e5a765d0c52", + "9bffd9a5823b4129927572be73b38f14", + "f1f03ac5d82c4177b10a94e31b34d05d", + "e11281be7f0e43e0933a02c610c83ed4", + "2d5858c6690142d194b59e9be30efd73", + "32a4702d59fa48fe8ecd01e1bd64314c", + "cedeaab76b0e4d368db9c9293a25df7c", + "916dd8aeef834923bb3367ecbf4faceb", + "361972c3b2ae42248b944bbdc1720e5a", + "384b2190a889432386c21558a23534f8", + "921f9b6c1b8643e2b1a2ed92c345bcd8", + "7a5ac8b6fcf147ddb86bc8db48a3bd10", + "d00cb3165bf74ed6b766d4e193a71622", + "1094ee31693c426d80cc560fb8edaf15", + "17c89760c31d47f6a71ee831de8bb766", + "44a843381b7240f7887858916567e0fd", + "1bfec1197a714ac8819429d0681e2f99", + "2c171c25ca274368993f070d0b0ff549", + "cc611f7efd2e43759d74477b4dc33fe5", + "1dbf2f283d1949f1a29809d367fb13e6", + "990a1358a25e4bd09854c5aef36c969f", + "5b8838ce33034c289b9fa9c11931a711", + "d686940c0f394c60997f62ad6c5e146d", + "c510dfda6d2b43368986fe62366eade8", + "bd08f8e62d294fa0903c1ce973302e2b", + "058e3977acc54295bf7dfc3c14f8d633", + "06eb2c50cc614b838a4d06ef79c5696f", + "72fc5907b86a4945814b51aa403ca67f", + "e18d90d4ca794ac087a90fb6d91462dc", + "70b240bd93cd4d66bebfabfe493a35e1", + "f8d0bd05781148c5b0613c763a361a64", + "f689302095024d4ea0a60a2a94984124", + "8510ba028e3140b99725981d4ce78ee9", + "5934fc9c31134c7aa3da4abc0e81020c", + "b55fc653edf34fd2b8ffef75c02b7140", + "0436533e07134e45baaa79e7e2b4eb4a", + "ec30de1228d8445aad79c3d11066d0a5", + "94db6de219cb46fb9e4e5404648a7eac", + "2e240744a5f54f19b168bc228683b065", + "15c4251996e7417aa0bad4c7c44ff5fb", + "1a43420c95c241cca93b6c50226e31d0", + "4b0ef2fbe6ee4db38e223c9c1707a4f9", + "5fe64f4642ce4fbe84505dd9d8e54661", + "7faaf21b1cb743eba79fc777099b43c3", + "174dfc915c6e41028672b295663376b1", + "6e3b40e43a3548c4a0430f1b5d254ea4", + "83bf9fd5f0694f52abc2a8f809eeda98", + "fad65a3800764429bdfe59aa2f491444", + "27e156b0d4dc40c3816db22cfbc7dfd4", + "5f19b1b6ebc649ab9267c1bb01a6f5f3", + "cfa4b785c2bb4e66b948d49e60bf1e3b", + "c79ec16b18054b12b78ebf986fb92cc0", + "43c230dc9dbc4be786a271dde03852b8", + "c75a9b134d9e43e0a747c083dc5cca65", + "68ae5d23c87d4930a8b1328dda9248ec", + "7152f019dc68488591ac9d7289df26ce", + "e55abebd0954460e8ea3d084039add29", + "730786dda67642cf9465430326d51145", + "7ade20f8cb694465969579e9950bf408", + "bb493a2251b548b0b0e5da2043e75546", + "5b66b10b947349a384b9e6a666e7fca3", + "043281b97694464b8fcc71c45e040c56", + "3779f3ca3ffb4abe8d1afb2a252325da", + "95b873edbf0641b6bc2b2e9d05e8dfeb", + "08b786c5a09d4392ae7d65103fb8aad5", + "fcd5d4548a224f568b59d83654b048d6", + "dde740946a8d497d9d11111405c0d4c2", + "df1e80b409db419da9a77ea58325596f", + "ecadca81b38c4a808ed6fa0f69a28e68", + "6bdf41dd31ce415b95d9e5b00394e9a8", + "5e5d65b4f03f405b9dd2509c3183d1ae", + "2e7aaf4589154f1ab7b11ae32036c806", + "ecb3c64d2c5b4be099463e8d639f6c42", + "8c746c9be20343218c2c389099ba81f8", + "9fce7481487d449cab0cf81cccdd968d", + "b9bb4ec569d24ff49bd96cf0e63acaf2", + "f3a923e2ee474874b21aa5e7d8dd0f71", + "d852a243411d4ea5bf0a2cb73b7002ae", + "9bf0439152ac4514973f42ece82bed6b", + "2e252f97f4774c0ba9d0698eddb1b78e", + "cefd6cc28160442a9af0362e5054bff1", + "2056f7250df04f8d96e514f94cc1cec0", + "8a288bb7c4b64ff59bd563f41c4ad4c9", + "65672200c0804a81b63a2deacf3cbd67", + "a001e1c543b14161903683174dab9d1f", + "bd18a47a3b1448c6b232a4e58c3f2030", + "7dcf7edda7e94dd9a3eb9dd0b559baa4", + "71031451fe3e435293b96ade84586a10", + "5dcb8f3f056a46e694a4235a18355afb", + "04433a97db6d41fb97ebfdb612e71099", + "b50524031cb94066a191d89e3e7ae86a", + "1d570132a60c4cc7b72b23d7ef95e6e1", + "fd7b9cafd9874670b0d59076d302b070", + "e9d0fa0c78f6497091c0ceaf53e9925e", + "cc9c87c4d85045329bc09feb04b8887c", + "fff6d8e21ff2436bbdaf47948be785aa", + "55812469a3294a0986d742a50cf91358", + "edcaf588e6a449928e6cbc3ddb627545", + "66182bf36ff74643a7ff47f21961d5d9", + "1be29607ce304cd2acdec361b796174e", + "bb283ba07a35436dac2b32a9b50ce6d0", + "fe05a5b9d6f544d39ef4fd14351e4609", + "74b5702bded94708b51b9ddc37e44e70", + "1c84ff813389416d8026656fde8fb3d5", + "1eda74c3473d418483c9b1d1996bcba2", + "829a2277e9d246f2843b4fdbf9c58d83", + "b96227693eaa4a35b929cdcc42347bdd", + "3f8aed485f404236aa7c9eb72ae5fc3c", + "06c68424321346af95b5c7f2865e8120", + "a97794d02c864985a07a9df35deb9cf2", + "5346ee2eb7b14517ad465977fa4fb660", + "c55d94aa8145460990f907a5a1fe199e", + "f211d8235ff44f0ca13eddaf38d26ff9", + "24a4189defd34c6f9580dfc2507fc3f3", + "b72c060d23c24c9bba03597e8bf471d4", + "275796a6cff443c79ddc1822ca8c5b36", + "b34ae19c5a044ddfb1653a6f83430103", + "7b21df0c377b4ae895b69f96833303d6", + "a403dfc5611d466c80167c4f3b07de28", + "8a911213995045f5a9ff30227175c1b8", + "123fffb8ce3e4fb1bd43dbee9aa4416d", + "58f68eea9700436da379021fa750a431", + "87bc34f58488433daec3b10ef6961356", + "26ac61f7cc22450a9a5c6138d6b48461", + "58797ba70a89422fbd45ff31d8e27532", + "f6903d2413184410953c951622e669f4", + "b595c230e60446d293fbca334df56ff1", + "541db27e3cb74fdbb51c3f9c45e343f7", + "001ce1cd3ccc450db90d675d055e5ed3", + "e80fedb994624edb8d5fbccea1487c4d", + "456c93c982414a54af2b2497bb923c29", + "87a2c90418d5430b809f05f7c06dd032", + "65e7f3163e8b4dd2bbe3420d43b5557b", + "0af6033e93224079b4f78bc2c9388335", + "92de18a4509248aa9b90f0d9951ba6a2", + "9aeca761e29a437db4e4d6858d69a4a9", + "0605b48c9d2b499587bd8dec0f02839b", + "7441d3f59cb4418d9d21ba01289f8e5b", + "49836762d5984350bd609eed5d98c7fd", + "1914bc203f49433994032327610bc509", + "fe7e9e508d7a42ef8b8e4f345dfee903", + "8949ec01ad0e4661be2dfcf34b711d49", + "1ddedf98c23c44bfa6cbd1b0b898543b", + "f898f1a7ca204ae2a45cc3f3abc9b95a", + "3c377c6224cd4fc8963f1bc50293f618", + "d14c6f527e6248249af2596ee245bf07", + "26de7626550f46d5a2f0a408403f5ecd", + "1fb61123f9744ffeaae483c870bb7b8c", + "a0eec5dc918448f4a0616d0e20c5c2fc", + "1bc04f29b8314995958d6cb984c40246", + "bef420da279b4ff59cb2919073637871", + "eaf00964eb8847b8bd0f49f8636064d2", + "0c29a600b15f4bacb1c13c5d2a03dc73", + "ec5a259133434e718120ebd4246e0ed0", + "759d374b14b543ea9120a2b9c63dcbb4", + "a13155bda3914591989f4256a9c2742a", + "a658f50de61a49fa8ece10ea5cee9e68", + "7bc83a2b0c87409997d9e0a6310c6895", + "3d6e024c339b47faa5a56a76f465e37a", + "d4a0887d95da4ff6b7e9d357c7367a21", + "be8b6208d37349258ac6afacfed67c36", + "94f7b7be77754def8b521b05ecb6c93d", + "d8d64a4134e54b0bb195f06bf942186c", + "8c41b5a59fd7400aac494aafe0cf262f", + "07e586d8b148477698f1287f7bd431d3", + "dafbe1a2c07444609cc42f98a3ef71e7", + "1e7e3ac5a4ef45489864195aceefd03d", + "b259cb7b78d24f6f91bf103bfc768341", + "0045daa4265f4f75bf7b31b9e8554a57", + "efacdb32516e4e0a906d40f843c9af70", + "924d4c78f5e148e4925eb9e3549b050a", + "2596ec9ab8f9457fb5b48a2b5d86c508", + "774ad8f8c83c46cea667244ae7bc0079", + "df8a18ad47e94020b91839db15ccb3d6", + "cda6e0e1e76d473b9bb75611aee7a2bb", + "f4b3d74623fd41e2b9a5afe50c4416b1", + "1a8bd4dafdc447d9ae92e1da99995c23", + "e52f68babd5d47c5a4de59bfbaefc9eb", + "e2b05a45b46b4c058a6fadce2c49516e", + "9f312623b8174dee989a2d27f7da4b4c", + "3916c64e695f43f185bbb6d81aa75481", + "9567cf6ca8804aa7af553d3402df5927", + "e23c3ffccfbe46a08652d1a835a85c74", + "e58636ba0903414db82993e44028b52c", + "c4c8859ec17247738c35b618b48db3c2", + "7468fc037a7f495789b4ae03ecbb2cb9", + "afec67309adf40b0801b6c4874ee19be", + "19f8efba68ca4547a8117783597319c5", + "01c49d2887da49b1895467c0beca3b6e", + "cee3cdd06dd64efca90a308fc46529f4", + "689f2169c88741a58e5267d73604b7ca", + "b656b74af3574c1b8eda33142f5f81ff", + "afded925d08945f2ba7cbb690cb94cb4", + "5a61b4218ad6408abb5e3a7c22894a03", + "d9c1af870e4341f48dd1734133254521", + "679aaad384364976bcf27cae457b9ea5", + "6570f3fa6c804ac0a3a9aab96ff6584a", + "3c933919dcd24362ae85920f635483da", + "9360139856524e01b35c0e5fe0d0d987", + "98967dcf22e14cd0869b8a72513b48d4", + "bba7556b063743d5bb28b277e258fcc8", + "6483dbbe886d47b79b92db85dddbe8a5", + "c59259012b23450ea1775524e1980be6", + "20dbe88670c949d2b2d669a515fe33a0", + "28e51da7dac04b398da83d83b6144cfc", + "8f17acbd800c4c048267bda6686a6f00", + "083fefab97ee4c52bfa20688c9ad01e2", + "b801086cff014ec6aa93f6f921ae994d", + "de177839d6214d2caba70eb682ee11f8", + "4b23e1912d5f4cc493b31febe8fc59e9", + "d8c22e370d87407082185586df186822", + "e1114ab3f6fd425f8bcf44505dd1ed64", + "c71f8525cce7450da4f7cb8b1f0dc66a", + "105ddc8ee2024857b682615a4367af75", + "34ccebc1bb75464ea409741f59bfac75", + "e8c01bce85a1439195d702a42fdad19e", + "deb51ac2366042478cda97f49fd1cc5f", + "4092c47e418a40c7a06b2b56caf00927", + "3693a11da7094b9eba9d88ec365ac3d4", + "7f236f38761746ef8eef0ec9d0e051e1", + "a006b222d29f4aad8865cc9ab99a6bcf", + "7b3b2db90b1f45368bce707bed7e090f", + "86f6d6b7a333472ea4220e354f6c92aa", + "5c72513caaa94f06b830bc12aee09b5a", + "fa0339773b354d38a0784ec446fc3c46", + "4315eb58bd154e5ba4fd22ff89155da9", + "4c41638b645346fdb2b45afcf3759a4b", + "7937f69915cb4b018d37748163b81481", + "9d7377b379fa40c488822f731bff6e3f", + "8acd6793a8054e9cb6af76b4c48a758a", + "655f4b588fcd47e9932aba5186865d7c", + "6eea9280924e49fcb54c4a8b1a10b938", + "c6e06a5990e6456594cdf3827320dde7", + "15debd971ded46ae97f288e497343c6e", + "9082ce1313f34f05bf4c454b3ec2bcfb", + "a8b10bd2234c4a4a8abf5cbe71987550", + "be7602360e5649a1829af4e43a30cba7", + "0200a573d8324c34988dc0f8912fd831", + "59b9a4da7ef34d69b687bbae8f934c00", + "58f528e577e5474b93e5192b02e4a9bd", + "fda9fb022ba44bf3b2da5313a562662c", + "b35c2a2307fc496fbba311b547d38fbf", + "4e74038abed1442f991a6d40b00aaddd", + "ede494effbcf41faabd074e016109a2e", + "f02b1d8822214a81950e6e139f8c2f93", + "963bdf1f63924905af7fba8e2266175d", + "4a9874db0e7447f98988f88824dc84be", + "29246ec35c9547a19d9f01b04ebbd17d", + "6c4d0f8b65ae44188ab62f4e2df579bc", + "f36ebd83b86148099f02c6c0467c8bd1", + "7763b03b74d24a769a4fc8a4babb7f77", + "9a0122d212a241bbb122109cd8bb74a6", + "ba78f8833708414e821ffb02f22364a5", + "9d621b70812d4a7a82669b069ea85c0a", + "91c94fcdb3fa4708ae774595ca7297db", + "59754fd25ad64f97a325d90894b1951b", + "bd50ffd097ab4e44a06e1664862248cc", + "aecaf298bbe946cf8190882a9e1e9931", + "f30c03628441438981b6f9050749df94", + "14ceeb988280490884ab0fa0e2b33567", + "7b9ae0b605cb4f6090a604bb362e590d", + "d8d52fe79824419791d6b4e786d80ee7", + "60d6fb32acf7420e98f7c09916c65f36", + "834f3d378dd048ba979db80d964a9c3a", + "5e053e86d3f44028921ea29c46274967", + "00dad74bc8454f6f9402599553859b28", + "6b8a9c3e595a4547bfc864af377d65dc", + "38ef486055bb4c13890e8e90a013407e", + "5eaafacb31fa4fc08900c37f93c10c44", + "63a2939e972d49d9a270fca26b0aea40", + "c4f2c9ab9a1b471db034f725f5c29171", + "1d2d82a1aaf74b229f10cdc0681e691f", + "e2ef4b9a142f472ba34b25241ec87a50", + "dbe29c7f594346adb9e4ef04ca558641", + "afb2b86261bc474db4854371bb3b40ee", + "9672ebe8a050447ba86572ab8f93461e", + "27ec6af7d5d348ca9a0f0fc534b0d298", + "09e956f464924d1aa6cb89502cb71646", + "509a22aedeb049628dbb906a31debf2b", + "97e42285e2924a92abb803fde57224cb", + "6fad306a10f74d689add259c696160ca", + "0db5bfdf078d4f3187d689b3ba8a1366", + "ef04f86539c24d3eb3daadfcde982ed5", + "5c9c07081d9a4bda9b6519751fd85264", + "d2568ec99c734c19a4d6dc233ea9ca10", + "f22b465f63044404afe1e4a6cf828f36", + "46dbf22dc945475b8fdc7452b157860c", + "990f462034fc45f8a482cecfd8eb6df9", + "81cd721d3d2d4c5f8071b0b9913b5285", + "b80892f0f3d54a7581378546ac859a17", + "a7367de4f1d14b858f01afea34b009f5", + "88221add6543440ca834e18949816be0", + "aba5478934ec4b32b3e7f1ebeeef9b06", + "562da7e0f3094e019b8b833cf49fead4", + "22152e80e58149558ca25704484372cf", + "700d3c1988ef4ccda17228cd75237da1", + "0830fdad421549f0aa268facc68e09f6", + "7fdb861ab4fd44068b9ba8100ac801ce", + "f70fefad2855443ca332f095c9603356", + "9ea7d2b132ca42a396bec4b66407e5bd", + "fff05567b0c54990ae9ce7283851b017", + "d7de7e08e8df4dbda8bb1a1a150c2e79", + "5134a889893943469b9589fcc41ef4c3", + "bc1cc7a224ea45d88618870f6dc5e3bf", + "1c59270ebca045d08a0df092a59f33ef", + "c66a621eff1e4509b1042a2e9ff04425", + "cca7322b64914e3bbd00c3e87319fffe", + "e334534d256140f5bdfe428500cfc57d", + "7e2795ebfe524c3481f0649f4d2726b5", + "ad38204dec624a4f811cd3f158d0fcbc", + "6d284070dd414089a548f7c73bb0d4fd", + "057b2eb6cf3d4d85a51645ff0cca3bee", + "326865a203b64330a1443ebabbeafc6a", + "c31cd00a4d9c443a9b5daec199a14a3a", + "14337a9969a249efa635024e01913e4c", + "e7bc25b1e77041a4acb2cecc5d4a6a90", + "faf3e5e868c94aefb2100675b7554271", + "59248eb3039b49be82abc2a7f4c18f8b", + "b887a0be77b44c85880807279b50339f", + "d922f9191e6342828a54fb457e0864c0", + "56e938af175f44f1b6749db70c04dd1f", + "40c7dbd61e9842e2835d0d6428773e93", + "ced557116f24474892dbd9dd1d055139", + "841ca266d3384c8eba171ca103d8551f", + "43ace550f5f54bb6b5e76172a030b8d4", + "43786227839a4e9b9547299c5e340eb3", + "95d33bcc4b0048d5b94c60062eb3b99b", + "be737445737646d49137fe7c240530b6", + "3b67e765ef904da5aab5f6339c475b46", + "7b160d8a22864f1d85ec0d73407300f9", + "254ec021987b490b8b95b014feb70633", + "67ed8e82a31c4f92a5cfd785d35f24e4", + "d633d1866e994b2eabed1669aefb912f", + "9d9e21cbdf7e46eebce7f72dc3106413", + "02744199d01446348749c877e2358f2f", + "488f7ae2ead54c0dba89a5ca6c812522", + "e81ed1045c5c46b39105a81973221216", + "66e178249db244679c1cf20d6761501f", + "52a5c8b9e3db40a68e49220f08ac1f3b", + "31c8a06ba9ca4772b0c79ac8554d8328", + "021893b18a8343a8adfd0d38d8304165", + "828bded5bbc44f1db140450ff4e05e4b", + "3851b110265f40df8dca72380bd604d4", + "01715266e13a40429ddcb9f35705e431", + "7834b318229e4f718c9f43c0cc02e742", + "f1d1bda9bb2f482ab5583a8bdfe52a5b", + "f662c2197abb4a898b578ab1f3df99b5", + "4452b3a6cde0435caf639ebe22db7545", + "3542edf9515c45e692789bf638b51954", + "eef40ffc99bc4020a1ebfa820485cae0", + "110bdd2b18074c47a29ffce68b435836", + "403550f6cfcf46a9bef31a4a8dfc9a3e", + "1b40a60dff894610b87056992b732864", + "9acbe16c31c3484984788c701a17178e", + "f324b124c08d45f9a3113737ba37f3aa", + "3dc9eca75b9948af8480e4a665cca054", + "88c16758a070485c9b433a68a49ab492", + "0ee070d6887e4c8d97e2dd7a08545e48", + "a424a227476f47b7b040d0d4f85749c2", + "5760e4170ac741bb998ad06d8633ac60", + "ff56ec4058694730b1308b3c00009f0e", + "9cc79049859e40f8989978662cacbe81", + "fd1632bf29d141a481d7ec44edafe4fb", + "6bf23c49f6b24bdd8583f0b500283a3f", + "4df795d99956432c83ca834c1d7e630a", + "c2d6e80c0b1f4cad8949fdbf66390145", + "f911f90932804228ae18fd6a405078d2", + "e7701c9cb8dd4679ad6c0fc7a50d0553", + "1fe5ee6216e64bcf84f94771ed7da489", + "8362b65e597947d29dff0215d38e4c89", + "5caaf1e6156e4194a2b92a9f1ab8a15d", + "7a0fe06b362e46b5b50a895bf6446f8d", + "77250f15fd904431ae13a0927f83a5e2", + "ae45be2d0d15497580e304d1c743e94f", + "fe58cbf4c33d46d9b0d38ca9ce67333b", + "09ff9ec6322d475d90d52821b8b95640", + "fde6a202104d42a69aaf67d5e849b543", + "49ed9ef3d2aa4ec1891b743a926c322c", + "9ae15b89e8264fe3a8c51e9b73a1d6b2", + "ee04e93be0574ad2bcd730f3a00281c4", + "b34b413882aa40dd9702e3a058f2eb59", + "cddf9205ff5a474492d9f638c8b6f190", + "018d170cf9a948449b151ddeb4afa4f6", + "c15c75998b2f4703b32a4237a5ae55d3", + "dbcbf29bb8fc4410a9e6772c7889f6fd", + "956e5c1f5c2946f8a295bcd30173f5bd", + "3f1dbd85cbce4aea93c695f9db049a95", + "7d6099c1bc98475e8b7b1b64c222e870", + "b77a7534c2d54d39853b83969e7d26f5", + "f8b0f1f945cc4e79a1a86a3212ed6565", + "33a6a0b64fe043fe9a966de3c1c34237", + "ecdb82542d22475d94a9890e94587f60", + "978ed72f9dd54a14b885f826357d9f89", + "b75d1bc8220848018174445a66a892b4", + "7c19c7f99d3b42bb88e321bad84597b1", + "4f05086820e5449d9eba0042a149db37", + "84cc1fd6d8a14b278fad6b1be2e8db88", + "5404fb3ca5b0444681723418aa665271", + "6063f4db9f8144d0b3a63c55615955e6", + "0f6b86ac29684b0e85df6d4c8d19d5c1", + "52ff9752a3874e48aff67c91095209f1", + "644a944d72f54ead85eb874aef0d9f72", + "4bcf883d71e94962ad7ea4c7128a4146", + "31c195acda5f41e4a0acb75720b5e0a3", + "3b33f603a86947e6b45e296ce0ee471b", + "310f8a8708b14b6781a8beb31a516fd9", + "c1b10fed777b47d4af6eec4ec6a83ea2", + "5829ddda8f0d4091a33fdaca4aca8f62", + "b7c874a221474a49bd722c78bc48fb92", + "d937a9467bc943318015be6ce0c4b6ca", + "f5751dfc6e5549fb80d2fc063499565a", + "cd5d18490dd145c897cd97a631d6b4eb", + "9d915e97ce2b43a8a84906738073edb6", + "eb0c36c9ff14493ab5597941806fe048", + "d8e26fa6580746c8b781ac21d1bd6690", + "476aeae3dcfe42749e6f5a1a8169d613", + "3d198a39ef1442c8b63c83c4069a306d", + "f6ec28519cab4696920f9c274e3fb578", + "5951f8f738154a378268179f2ada9dc2", + "9f90374ddbc74ab79c72fd0e910e5b1a", + "ceac6abd35b74b489fd21987adc2f13f", + "264270f9533c49d8bcea11c071f4ace2", + "432d29744df643eda1eac7328be84e8b", + "8362b0f5f17f4ff383e7cb7ab88a23fa", + "1f50c0ee913b409c8e5e5a83f3103e08", + "e8fed86cd8dd45b48b388fb7aababbf0", + "1ea9019d943545ba8d16128fc2ed94bd", + "221b79e64fbe40c19a76f4bffb6e1f33", + "baf181a608ca4c7ba94df5a0c094e9aa", + "a5cf10cc88fb461095c91641dbfaf346", + "46a2cbba164c4481808834365e8a2aa3", + "b5d0bf8b5f594af6b97af9c3483214a8", + "e066d9b2c0244d11a87d66b04a038bbe", + "df9f4c83b9ce409b941649939f0d16c0", + "ce4b5865f6f44101a971da65733abc33", + "b32b537b9b7546299c2d3ce98b274ea9", + "f03a0af689ec44849265c45654687d7b", + "57aaf8b8f3e64865b3422439a454804b", + "22de8784c1fb42f3a1476d1ebfa7feb7", + "096b5e1177ea459d864fb38f09971c5a", + "307b5eae093843c4a6da8c4d0fd1b85e", + "b9bae24b116d468b8a8215d75d56fb65", + "1caec1d699bf45238493a24aa2c5d01b", + "115e5a08022c456ba7bcdd3304854397", + "e52121a096034139ad5b110e8fac4a2c", + "e695dcd844a04140ad3d79a1aa8f9427", + "0d6f5d6ca7d84a31be6466abaa3372fd", + "02706e3d5b674436a353f365c0cb31de", + "44c1c73871cb425c8b0897c8fdfb2415", + "a826591d14ca48caaf1284a3d2eba427", + "8c12ddf6ed794e09ab49d574b4a53faf", + "c4f31b9d2f38474fa354dd06dcf653fc", + "df5f893ca895494fbcd571e58225817a", + "7acd6a13dbed45d6926ebbfe586320c2", + "aca703637ce345159d21bf37f9779be7", + "9ec7ee4bfa0145918a330dea39781abe", + "b62dff0390864cb48e3821143eea756a", + "14bd96c3182d4bb19aa4ea4927728a91", + "8877b8e6a9a940ca86b78cc74d6ca0c1", + "f521fdfdb4da4954ba77fcbdb6ad60f2", + "81cf047735784eca9be97c68ae31638e", + "5998a4ab965a4545b96adfa4e6655b7a", + "21b285a8c12a469d84620c3e7985db85", + "2884766406d54881a77a75ab2314747c", + "0b1c2ab16e3f42bf8c881b0d251593fd", + "3bde3aaf7a494b1bbd56861a26e76544", + "d70303919a3d4175afa2e20efd05f5de", + "7bef4d38af6240388f83853acb32a9dd", + "115a52e3380b4c9b88832fa70e145d4b", + "27bcc9b1712e4fa78d2c73bf00c0f1c7", + "341a369f7bd2499cb5ce821bf9c4f9ff", + "e6dc2586d07644a69cf30624a77676d0", + "9dfc35ee8ce64ab89236329532baa1df", + "d14fdf4c55014c0aa19bd989ca649bb4", + "e347ccd2d6364001ac02759717f8fde2", + "63ceb550ee7b40249441f8befbd05ab4", + "e3ec6d8ee54b46e586bc80912759f01e", + "503c96bdd2de444ca3fb420a46fc0a23", + "6bc9b4448d9a410c8dbb42eb5630235f", + "1ad9ba7662064b149f5b8052bc25332e", + "0f4335a834824b0c8ca8a6e0f9ba24b0", + "9e4bcebc102843f1a24d1ac06eb64959", + "77f1b1713c164e5eaaf56b349d83ea48", + "fe187460e3ac4e37b3e5f3578943af13", + "282ac29fd8b64b7db3d79c156ddcdd44", + "2df27c85135b4ffd96a1d1d745fc89c6", + "1e10c062fd304769af7191333d580d30", + "06fd4766c1254bbebe3c841f6fdf790b", + "6df3e97b1e5c4c56a9a0705632e0256d", + "3dc3ef0e4c824b71a4938e88a219f818", + "a03537d793c7429e83cf1c5d053ca97e", + "9d0e35952b924d82a5151be4a627c9f8", + "3d012b0d1fe54d3ea792200eb68f7f81", + "8d810de67f064d6186b496967dd19804", + "13e70d66dd4c4913a101eb0da5c34fbd", + "7b13cc245a16465d8a9a242c363c8258", + "42819cd32b3f4fa39f842ff846f4c81c", + "977b591202bf4277bfbd3a87c8c11a86", + "51777d1689eb45319a15ea76ecc37460", + "17483dd2c1714c99b3163d92ce004375", + "ef445322f3b941619758b3567f783da3" + ] + }, + "collapsed": true, + "id": "91dGqYgnbppR", + "outputId": "b563244a-2cf1-4e7e-9eae-ca240ab6ffa7" + }, + "execution_count": 36, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:lightning_fabric.utilities.seed:Seed set to 1\n", + "INFO:lightning_fabric.utilities.seed:Seed set to 1\n", + "INFO:lightning_fabric.utilities.seed:Seed set to 1\n", + "INFO:lightning_fabric.utilities.seed:Seed set to 1\n", + "INFO:lightning_fabric.utilities.seed:Seed set to 1\n", + "INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True\n", + "INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n", + "INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n", + "INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] filter_features.parquet loaded: shape=(3024, 32)\n", + " ds unique_id y High Low Open Volume \\\n", + "0 2020-01-02 AAPL 72.796005 72.856598 71.545372 71.799858 135480400 \n", + "1 2020-01-03 AAPL 72.088295 72.851761 71.862892 72.020432 146322800 \n", + "2 2020-01-06 AAPL 72.662697 72.701477 70.953987 71.206055 118387200 \n", + "\n", + " daily_return range_pct volume_spike ... pca_1 pca_2 pca_3 \\\n", + "0 -0.009769 0.018012 0.784781 ... -48.171083 22.515543 3.510418 \n", + "1 -0.009769 0.013717 0.784781 ... -48.193905 22.474401 3.477277 \n", + "2 0.007936 0.024049 0.784781 ... -42.941880 19.865257 3.101304 \n", + "\n", + " pca_4 pca_5 pca_6 pca_7 pca_8 pca_9 pca_10 \n", + "0 -1.067293 -0.563925 -0.059356 0.001160 0.015263 0.008877 0.013363 \n", + "1 -1.068749 -0.564001 -0.060474 -0.007777 -0.006951 -0.003283 0.014268 \n", + "2 -1.076064 -0.558101 -0.057768 0.009834 0.027444 0.028358 0.010467 \n", + "\n", + "[3 rows x 32 columns]\n", + "[INFO] n_series_count = 4 (for iTransformer).\n", + "[INFO] cross_validation on 4 series, n_windows=2, val_size=14, step_size=14.\n", + "\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "INFO:pytorch_lightning.callbacks.model_summary:\n", + " | Name | Type | Params | Mode \n", + "-------------------------------------------------------\n", + "0 | loss | MAE | 0 | train\n", + "1 | padder_train | ConstantPad1d | 0 | train\n", + "2 | scaler | TemporalNorm | 0 | train\n", + "3 | blocks | ModuleList | 2.4 M | train\n", + "-------------------------------------------------------\n", + "2.4 M Trainable params\n", + "0 Non-trainable params\n", + "2.4 M Total params\n", + "9.798 Total estimated model params size (MB)\n", + "34 Modules in train mode\n", + "0 Modules in eval mode\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Sanity Checking: | | 0/? [00:00" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] All done!\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Results & Graphics" + ], + "metadata": { + "id": "NO1e34TSblMp" + } + }, + { + "cell_type": "code", + "source": [ + "# ====================== SINGLE CODE CELL START ======================\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from scipy.stats import spearmanr\n", + "\n", + "###############################################################################\n", + "# 0) Basic checks: we expect a DataFrame df_cv in the environment,\n", + "# containing columns: [unique_id, ds, y, Model1, Model2, ...].\n", + "###############################################################################\n", + "assert 'df_cv' in globals(), \"df_cv not found in global scope. Please define df_cv first.\"\n", + "if not isinstance(df_cv, pd.DataFrame):\n", + " raise ValueError(\"df_cv must be a pandas DataFrame.\")\n", + "\n", + "required_cols = {'unique_id','ds','y'}\n", + "if not required_cols.issubset(df_cv.columns):\n", + " raise ValueError(f\"df_cv must contain columns {required_cols}.\")\n", + "\n", + "df_cv = df_cv.copy()\n", + "df_cv['ds'] = pd.to_datetime(df_cv['ds'], errors='coerce')\n", + "if df_cv['ds'].isna().any():\n", + " raise ValueError(\"Some rows in 'ds' are not valid datetimes.\")\n", + "\n", + "# Identify forecast columns (exclude typical columns like 'unique_id','ds','y','cutoff'\n", + "# and exclude potential quantile suffixes).\n", + "excluded_cols = {'unique_id','ds','y','cutoff'}\n", + "model_cols = [c for c in df_cv.columns\n", + " if c not in excluded_cols\n", + " and not c.endswith(('-lo-80','-lo-90','-hi-80','-hi-90'))]\n", + "\n", + "if len(model_cols) == 0:\n", + " print(\"[WARNING] No model columns found in df_cv. Exiting.\")\n", + " raise SystemExit()\n", + "\n", + "print(\"[INFO] Found these forecast columns:\", model_cols)\n", + "\n", + "###############################################################################\n", + "# 1) Define the metrics we want\n", + "###############################################################################\n", + "metrics_directions = {\n", + " \"MSE\": \"lower\",\n", + " \"MAE\": \"lower\",\n", + " \"sMAPE\": \"lower\",\n", + " \"Spearman\": \"higher\",\n", + " \"Sharpe\": \"higher\",\n", + " \"Brier\": \"lower\",\n", + "}\n", + "\n", + "def compute_metrics(sub_df, model_col=\"NHITS\"):\n", + " \"\"\"Compute multiple metrics for (y, forecast).\n", + " Returns dict: MSE, MAE, sMAPE, Spearman, Sharpe, Brier.\n", + " \"\"\"\n", + " sub_df = sub_df.sort_values('ds')\n", + " y_true = sub_df['y'].values\n", + " y_pred = sub_df[model_col].values\n", + "\n", + " # MSE\n", + " mse_ = np.mean((y_true - y_pred)**2)\n", + "\n", + " # MAE\n", + " mae_ = np.mean(np.abs(y_true - y_pred))\n", + "\n", + " # sMAPE\n", + " denom = np.abs(y_true) + np.abs(y_pred)\n", + " smape_ = np.mean(\n", + " np.where(denom!=0, 2.0*np.abs(y_true - y_pred)/denom, 0.0)\n", + " ) * 100.0\n", + "\n", + " # Spearman\n", + " try:\n", + " sp_corr, _ = spearmanr(y_true, y_pred)\n", + " except ValueError:\n", + " sp_corr = np.nan\n", + "\n", + " # Sharpe ratio (toy approach)\n", + " if len(y_pred) < 2:\n", + " sharpe_ = np.nan\n", + " else:\n", + " pr_diff = []\n", + " for i in range(1,len(y_pred)):\n", + " pred_r = 0.0\n", + " true_r = 0.0\n", + " if y_pred[i-1]!=0:\n", + " pred_r = (y_pred[i]-y_pred[i-1]) / abs(y_pred[i-1])\n", + " if y_true[i-1]!=0:\n", + " true_r= (y_true[i]-y_true[i-1]) / abs(y_true[i-1])\n", + " pr_diff.append(pred_r - true_r)\n", + " pr_diff = np.array(pr_diff)\n", + " if pr_diff.size<2 or pr_diff.std()==0:\n", + " sharpe_ = np.nan\n", + " else:\n", + " sharpe_ = pr_diff.mean()/pr_diff.std()\n", + "\n", + " # Brier score (toy approach: up/down classification mismatch)\n", + " if len(y_pred) < 2:\n", + " brier_ = np.nan\n", + " else:\n", + " pred_class = []\n", + " true_class = []\n", + " for i in range(1, len(y_pred)):\n", + " pred_class.append(1 if y_pred[i]>=y_pred[i-1] else 0)\n", + " true_class.append(1 if y_true[i]>=y_true[i-1] else 0)\n", + " pred_class = np.array(pred_class)\n", + " true_class = np.array(true_class)\n", + " brier_ = np.mean((pred_class - true_class)**2)\n", + "\n", + " return {\n", + " \"MSE\": mse_,\n", + " \"MAE\": mae_,\n", + " \"sMAPE\": smape_,\n", + " \"Spearman\": sp_corr,\n", + " \"Sharpe\": sharpe_,\n", + " \"Brier\": brier_,\n", + " }\n", + "\n", + "###############################################################################\n", + "# 2) Summarize metrics in a table\n", + "###############################################################################\n", + "rows = []\n", + "for mcol in model_cols:\n", + " stats = compute_metrics(df_cv, model_col=mcol)\n", + " row = {\"Model\": mcol}\n", + " row.update(stats)\n", + " rows.append(row)\n", + "\n", + "df_metrics = pd.DataFrame(rows)\n", + "metric_cols = list(metrics_directions.keys()) # [\"MSE\",\"MAE\",\"sMAPE\",\"Spearman\",\"Sharpe\",\"Brier\"]\n", + "\n", + "print(\"\\n=== Raw Metrics Table ===\")\n", + "print(df_metrics[[\"Model\"]+metric_cols].to_string(index=False))\n", + "\n", + "###############################################################################\n", + "# 3) Show multiple leaderboards (one per metric), marking (higher=better)/(lower=better).\n", + "###############################################################################\n", + "def print_leaderboard_for_metric(df, metric_name, direction):\n", + " if direction==\"higher\":\n", + " asc = False\n", + " direction_txt = \"(higher=better)\"\n", + " else:\n", + " asc = True\n", + " direction_txt = \"(lower=better)\"\n", + "\n", + " df_sorted = df.sort_values(metric_name, ascending=asc)\n", + " print(f\"\\n--- {metric_name} {direction_txt} LEADERBOARD ---\")\n", + " print(df_sorted[[\"Model\",metric_name]].to_string(index=False))\n", + "\n", + "def bar_chart_for_metric(df, metric_name, direction):\n", + " if direction==\"higher\":\n", + " asc = False\n", + " else:\n", + " asc = True\n", + " df_sorted = df.sort_values(metric_name, ascending=asc)\n", + " plt.figure(figsize=(6,4))\n", + " plt.barh(df_sorted[\"Model\"], df_sorted[metric_name], color='skyblue')\n", + " plt.title(f\"{metric_name} {('(higher=better)' if not asc else '(lower=better)')}\")\n", + " plt.xlabel(metric_name)\n", + " plt.gca().invert_yaxis() # best at top if ascending\n", + " plt.grid(True, axis='x', alpha=0.3)\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "for m in metric_cols:\n", + " print_leaderboard_for_metric(df_metrics, m, metrics_directions[m])\n", + " bar_chart_for_metric(df_metrics, m, metrics_directions[m])\n", + "\n", + "###############################################################################\n", + "# 4) Compute meta-metric:\n", + "# Weighted approach:\n", + "# - 50% Sharpe (higher=better)\n", + "# - 30% Spearman (higher=better)\n", + "# - The remaining 20% is split equally among MSE, MAE, sMAPE, Brier => 5% each\n", + "#\n", + "# We'll do min-max normalization with flips for \"lower=better\" metrics.\n", + "###############################################################################\n", + "df_metrics = df_metrics.copy()\n", + "\n", + "lower_is_better = [\"MSE\",\"MAE\",\"sMAPE\",\"Brier\"]\n", + "higher_is_better= [\"Spearman\",\"Sharpe\"]\n", + "\n", + "# min/max for each metric\n", + "mins, maxs = {}, {}\n", + "for c in metric_cols:\n", + " arr = df_metrics[c].values\n", + " valid = arr[~np.isnan(arr)]\n", + " if valid.size==0:\n", + " min_val=0\n", + " max_val=1\n", + " else:\n", + " min_val=valid.min()\n", + " max_val=valid.max()\n", + " if min_val==max_val:\n", + " max_val=min_val+1e-9\n", + " mins[c] = min_val\n", + " maxs[c] = max_val\n", + "\n", + "# create score_*\n", + "for c in metric_cols:\n", + " arr = df_metrics[c].values\n", + " if c in lower_is_better:\n", + " # 1 - (val-min)/(max-min)\n", + " normed = 1.0 - (arr - mins[c])/(maxs[c] - mins[c])\n", + " else:\n", + " # (val-min)/(max-min)\n", + " normed = (arr - mins[c])/(maxs[c] - mins[c])\n", + " normed = np.clip(normed, 0,1)\n", + " df_metrics[f\"score_{c}\"] = normed\n", + "\n", + "df_metrics[\"meta_score\"] = (\n", + " 0.50*df_metrics[\"score_Sharpe\"]\n", + " + 0.30*df_metrics[\"score_Spearman\"]\n", + " + 0.05*df_metrics[\"score_MSE\"]\n", + " + 0.05*df_metrics[\"score_MAE\"]\n", + " + 0.05*df_metrics[\"score_sMAPE\"]\n", + " + 0.05*df_metrics[\"score_Brier\"]\n", + ")\n", + "\n", + "df_meta = df_metrics.sort_values(\"meta_score\", ascending=False)\n", + "\n", + "print(\"\\n=== META-SCORE Leaderboard (desc) ===\")\n", + "cols_to_show = [\"Model\"] + metric_cols + [\"meta_score\"]\n", + "print(df_meta[cols_to_show].to_string(index=False))\n", + "\n", + "# bar chart\n", + "plt.figure(figsize=(6,4))\n", + "plt.barh(df_meta[\"Model\"], df_meta[\"meta_score\"], color='gold')\n", + "plt.title(\"META-SCORE Leaderboard (higher=better)\")\n", + "plt.xlabel(\"Meta-Score\")\n", + "plt.gca().invert_yaxis()\n", + "plt.grid(True, axis='x', alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "###############################################################################\n", + "# 5) Plot forecasts vs. actual for the last N days, with buy/sell/hold markers\n", + "# for each model on separate subplots (avoid clutter).\n", + "###############################################################################\n", + "PLOT_DAYS = 120 # adjust how many final days to visualize\n", + "\n", + "unique_ids = df_cv[\"unique_id\"].unique()\n", + "if len(unique_ids)==0:\n", + " print(\"[ERROR] No series to plot. unique_ids is empty.\")\n", + "else:\n", + " # We'll just pick the first unique_id for demonstration\n", + " example_uid = unique_ids[0]\n", + " sub = df_cv[df_cv[\"unique_id\"]==example_uid].copy()\n", + " sub.sort_values(\"ds\", inplace=True)\n", + "\n", + " # pick last PLOT_DAYS\n", + " sub = sub.iloc[-PLOT_DAYS:].reset_index(drop=True)\n", + "\n", + " n_models = len(model_cols)\n", + " fig, axes = plt.subplots(n_models, 1, figsize=(10, 4*n_models), sharex=True)\n", + "\n", + " if n_models==1:\n", + " axes = [axes]\n", + "\n", + " for ax, mcol in zip(axes, model_cols):\n", + " ax.plot(sub[\"ds\"], sub[\"y\"], label=\"Actual\", color=\"black\", linewidth=2)\n", + " ax.plot(sub[\"ds\"], sub[mcol], label=mcol, linestyle=\"--\", color=\"blue\")\n", + "\n", + " # buy/sell/hold logic\n", + " signals = [\"HOLD\"] # first row no prior\n", + " for i in range(1,len(sub)):\n", + " diff_val = sub.loc[i,mcol] - sub.loc[i-1,mcol]\n", + " if diff_val>+1.0:\n", + " signals.append(\"BUY\")\n", + " elif diff_val<-1.0:\n", + " signals.append(\"SELL\")\n", + " else:\n", + " signals.append(\"HOLD\")\n", + "\n", + " sub[f\"{mcol}_signal\"] = signals\n", + "\n", + " # place markers\n", + " for i in range(len(sub)):\n", + " d = sub.loc[i,\"ds\"]\n", + " p = sub.loc[i,mcol]\n", + " s = sub.loc[i,f\"{mcol}_signal\"]\n", + " if s==\"BUY\":\n", + " ax.scatter(d,p, marker='^', c='green', s=100)\n", + " elif s==\"SELL\":\n", + " ax.scatter(d,p, marker='v', c='red', s=100)\n", + " else:\n", + " ax.scatter(d,p, marker='o', c='gold', s=60)\n", + "\n", + " ax.set_title(f\"{mcol} (UID={example_uid})\")\n", + " ax.legend(loc='upper left')\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + " axes[-1].set_xlabel(\"Date\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "# ====================== SINGLE CODE CELL END ======================" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "Ppewr1ntru-1", + "outputId": "f61b8ece-5fa7-446e-e4ce-0b43e019f409" + }, + "execution_count": 40, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[INFO] Found these forecast columns: ['NHITS', 'Autoformer', 'PatchTST', 'FEDformer', 'iTransformer']\n", + "\n", + "=== Raw Metrics Table ===\n", + " Model MSE MAE sMAPE Spearman Sharpe Brier\n", + " NHITS 283.718341 12.192865 6.597579 0.897821 -0.183768 0.058252\n", + " Autoformer 604.380225 20.058382 10.335487 0.925528 -0.263369 0.038835\n", + " PatchTST 233.752735 10.464093 5.790462 0.925037 -0.176970 0.048544\n", + " FEDformer 295.525288 12.030004 6.633859 0.868918 -0.180679 0.038835\n", + "iTransformer 284.199666 11.148351 6.237145 0.931289 -0.194802 0.058252\n", + "\n", + "--- MSE (lower=better) LEADERBOARD ---\n", + " Model MSE\n", + " PatchTST 233.752735\n", + " NHITS 283.718341\n", + "iTransformer 284.199666\n", + " FEDformer 295.525288\n", + " Autoformer 604.380225\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "--- MAE (lower=better) LEADERBOARD ---\n", + " Model MAE\n", + " PatchTST 10.464093\n", + "iTransformer 11.148351\n", + " FEDformer 12.030004\n", + " NHITS 12.192865\n", + " Autoformer 20.058382\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "--- sMAPE (lower=better) LEADERBOARD ---\n", + " Model sMAPE\n", + " PatchTST 5.790462\n", + "iTransformer 6.237145\n", + " NHITS 6.597579\n", + " FEDformer 6.633859\n", + " Autoformer 10.335487\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "--- Spearman (higher=better) LEADERBOARD ---\n", + " Model Spearman\n", + "iTransformer 0.931289\n", + " Autoformer 0.925528\n", + " PatchTST 0.925037\n", + " NHITS 0.897821\n", + " FEDformer 0.868918\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "--- Sharpe (higher=better) LEADERBOARD ---\n", + " Model Sharpe\n", + " PatchTST -0.176970\n", + " FEDformer -0.180679\n", + " NHITS -0.183768\n", + "iTransformer -0.194802\n", + " Autoformer -0.263369\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "--- Brier (lower=better) LEADERBOARD ---\n", + " Model Brier\n", + " Autoformer 0.038835\n", + " FEDformer 0.038835\n", + " PatchTST 0.048544\n", + " NHITS 0.058252\n", + "iTransformer 0.058252\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "=== META-SCORE Leaderboard (desc) ===\n", + " Model MSE MAE sMAPE Spearman Sharpe Brier meta_score\n", + " PatchTST 233.752735 10.464093 5.790462 0.925037 -0.176970 0.048544 0.944928\n", + "iTransformer 284.199666 11.148351 6.237145 0.931289 -0.194802 0.058252 0.831517\n", + " NHITS 283.718341 12.192865 6.597579 0.897821 -0.183768 0.058252 0.725045\n", + " FEDformer 295.525288 12.030004 6.633859 0.868918 -0.180679 0.038835 0.652764\n", + " Autoformer 604.380225 20.058382 10.335487 0.925528 -0.263369 0.038835 0.322289\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] } ] } \ No newline at end of file