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Third party attribution updates (#398)
* Update ThirdPartyNotices.txt * Update murmur_hash3.cc * Update normalizer_test.cc * Update simple_thread_pool.h * Update simple_thread_pool.h * Update ThirdPartyNotices.txt
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Faith Xu
Pranav Sharma
parent
8f215b44e0
commit
b194d79dfb
4 changed files with 118 additions and 9 deletions
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@ -25,7 +25,7 @@ Intel Simplified Software License (Version April 2018)
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Copyright (c) 2018 Intel Corporation.
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Use and Redistribution. You may use and redistribute the software (the “Software”), without modification,
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Use and Redistribution. You may use and redistribute the software (the “Software”), without modification,
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provided the following conditions are met:
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* Redistributions must reproduce the above copyright notice and the following terms of use in the Software
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@ -37,11 +37,11 @@ derived from this Software without specific prior written permission.
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* No reverse engineering, decompilation, or disassembly of this Software is permitted.
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Limited patent license. Intel grants you a world-wide, royalty-free, non-exclusive license under patents it now
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or hereafter owns or controls to make, have made, use, import, offer to sell and sell (“Utilize”) this Software,
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or hereafter owns or controls to make, have made, use, import, offer to sell and sell (“Utilize”) this Software,
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but solely to the extent that any such patent is necessary to Utilize the Software alone. The patent license
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shall not apply to any combinations which include this software. No hardware per se is licensed hereunder.
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Third party and other Intel programs. “Third Party Programs” are the files listed in the “third-party-programs.txt”
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Third party and other Intel programs. “Third Party Programs” are the files listed in the “third-party-programs.txt”
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text file that is included with the Software and may include Intel programs under separate license terms.
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Third Party Programs, even if included with the distribution of the Materials, are governed by
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separate license terms and those license terms solely govern your use of those programs.
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@ -51,7 +51,7 @@ INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNES
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FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT ARE DISCLAIMED. THIS SOFTWARE IS
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NOT INTENDED FOR USE IN SYSTEMS OR APPLICATIONS WHERE FAILURE OF THE SOFTWARE
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MAY CAUSE PERSONAL INJURY OR DEATH AND YOU AGREE THAT YOU ARE FULLY RESPONSIBLE FOR ANY
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CLAIMS, COSTS, DAMAGES, EXPENSES, AND ATTORNEYS’ FEES ARISING OUT OF ANY SUCH USE,
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CLAIMS, COSTS, DAMAGES, EXPENSES, AND ATTORNEYS’ FEES ARISING OUT OF ANY SUCH USE,
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EVEN IF ANY CLAIM ALLEGES THAT INTEL WAS NEGLIGENT REGARDING THE DESIGN OR MANUFACTURE OF
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THE MATERIALS.
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@ -71,7 +71,7 @@ Termination. Intel may terminate your right to use the Software in the event of
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and you fail to cure the breach within a reasonable period of time.
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Feedback. Should you provide Intel with comments, modifications, corrections, enhancements or other input
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(“Feedback”) related to the Software Intel will be free to use, disclose, reproduce, license or otherwise
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(“Feedback”) related to the Software Intel will be free to use, disclose, reproduce, license or otherwise
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distribute or exploit the Feedback in its sole discretion without any obligations or restrictions of any kind,
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including without limitation, intellectual property rights or licensing obligations.
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@ -259,8 +259,10 @@ _____
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eigen-git-mirror
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MPL v2.0
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Mozilla Public License Version 2.0
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==================================
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1. Definitions
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@ -1133,6 +1135,22 @@ SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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_____
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NumPy License
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Copyright (c) 2005, NumPy Developers
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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Neither the name of the NumPy Developers nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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_____
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Pytorch / Caffe2
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From PyTorch:
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@ -1206,6 +1224,55 @@ POSSIBILITY OF SUCH DAMAGE.
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_____
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Caffe
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COPYRIGHT
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All contributions by the University of California:
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Copyright (c) 2014-2017 The Regents of the University of California (Regents)
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All rights reserved.
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All other contributions:
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Copyright (c) 2014-2017, the respective contributors
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All rights reserved.
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Caffe uses a shared copyright model: each contributor holds copyright over
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their contributions to Caffe. The project versioning records all such
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contribution and copyright details. If a contributor wants to further mark
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their specific copyright on a particular contribution, they should indicate
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their copyright solely in the commit message of the change when it is
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committed.
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LICENSE
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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1. Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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CONTRIBUTION AGREEMENT
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By contributing to the BVLC/caffe repository through pull-request, comment,
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or otherwise, the contributor releases their content to the
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license and copyright terms herein.
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_____
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The LLVM Compiler Infrastructure
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==============================================================================
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@ -1547,7 +1614,7 @@ Ray Glover <ray.glover@uk.ibm.com>
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Robert Guo <robert.guo@mongodb.com>
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Roman Lebedev <lebedev.ri@gmail.com>
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Shuo Chen <chenshuo@chenshuo.com>
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Tobias Ulvgård <tobias.ulvgard@dirac.se>
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Tobias Ulvgård <tobias.ulvgard@dirac.se>
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Tom Madams <tom.ej.madams@gmail.com> <tmadams@google.com>
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Yixuan Qiu <yixuanq@gmail.com>
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Yusuke Suzuki <utatane.tea@gmail.com>
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@ -2291,3 +2358,36 @@ OTHER DEALINGS IN THE SOFTWARE.
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For more information, please refer to <http://unlicense.org/>
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_____
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Scikit-learn
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Copyright (c) 2007–2018 The scikit-learn developers.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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a. Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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b. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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c. Neither the name of the Scikit-learn Developers nor the names of
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its contributors may be used to endorse or promote products
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derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
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DAMAGE.
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@ -2,9 +2,12 @@
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// MurmurHash3 was written by Austin Appleby, and is placed in the public
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// domain. The author hereby disclaims copyright to this source code.
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// License from https://github.com/scikit-learn/scikit-learn/blob/master/COPYING
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//scikit-learn is a Python module for machine learning built on top of SciPy and
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//distributed under the 3-Clause BSD license. See https://github.com/scikit-learn/scikit-learn.
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//This material is licensed under the BSD License (see https://github.com/scikit-learn/scikit-learn/blob/master/COPYING);
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/* Modifications Copyright (c) Microsoft. */
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#include "contrib_ops/cpu/murmur_hash3.h"
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// Platform-specific functions and macros
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@ -1,5 +1,7 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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// Eigen is "a C++ template library for linear algebra:
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//matrices, vectors, numerical solvers, and related algorithms."
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//See http://eigen.tuxfamily.org/index.php?title=Main_Page.
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//This material is licensed under the MPL v2.0.
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//
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// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
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//
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@ -39,6 +39,10 @@ static void RunTests(const vector<T>& input,
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Test values from this script, which is based on functions in
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https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/preprocessing/data.py
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scikit-learn is a Python module for machine learning built on top of SciPy and
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distributed under the 3-Clause BSD license. See https://github.com/scikit-learn/scikit-learn.
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This material is licensed under the BSD License (see https://github.com/scikit-learn/scikit-learn/blob/master/COPYING);
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import numpy as np
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def _handle_zeros_in_scale(scale):
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