mirror of
https://github.com/saymrwulf/autoresearch-quantum.git
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saymrwulf
e13a3268c2
- 8 Jupyter notebooks across 3 learning plans (A: bottom-up, B: spiral, C: parallel tracks)
- Teaching toolkit (src/autoresearch_quantum/teaching/) with ipywidgets-based
quiz, predict_choice, reflect, and order widgets — visually distinct from code cells
- Fix spectator_z operator: was {1:'Z',2:'Z'} (IZZI, expectation=0), now {1:'Z',3:'Z'}
(ZIZI, expectation=+1 for ideal T-state, commutes with logical operators)
- Fix u_magic seed: swap phase arguments to match h_p and ry_rz preparations
- Fix double-display bug: widgets rendered twice when function returned the box
- Fix CLI override parser for negative integers and missing '=' validation
- Fix stabilizer detection quiz: ZZZZ detects X errors, not Z errors
- Add ties parameter to order() for questions with interchangeable items
- Expand test suite from 21 to 107 tests
- Update README with notebook instructions and project tree
57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
"""Tests for YAML config loading."""
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from __future__ import annotations
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from pathlib import Path
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from autoresearch_quantum.config import load_rung_config
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from autoresearch_quantum.models import ExperimentSpec, RungConfig
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def test_load_rung1_config() -> None:
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config = load_rung_config(Path("configs/rungs/rung1.yaml"))
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assert isinstance(config, RungConfig)
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assert config.rung == 1
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assert config.name == "[[4,2,2]] Encoded Magic-State Preparation"
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assert config.step_budget == 3
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assert config.patience == 2
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def test_rung1_bootstrap_spec() -> None:
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config = load_rung_config(Path("configs/rungs/rung1.yaml"))
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spec = config.bootstrap_incumbent
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assert isinstance(spec, ExperimentSpec)
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assert spec.rung == 1
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assert spec.seed_style == "h_p"
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assert spec.encoder_style == "cx_chain"
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assert spec.target_backend == "fake_brisbane"
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def test_rung1_search_space() -> None:
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config = load_rung_config(Path("configs/rungs/rung1.yaml"))
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dims = config.search_space.dimensions
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assert "seed_style" in dims
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assert "encoder_style" in dims
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assert config.search_space.max_challengers_per_step == 8
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def test_rung1_score_config() -> None:
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config = load_rung_config(Path("configs/rungs/rung1.yaml"))
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assert config.score.name == "weighted_acceptance_cost"
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assert config.score.cheap_quality.noisy_fidelity == 0.40
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assert config.score.cost_weights.two_qubit_count == 0.08
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def test_rung1_tier_policy() -> None:
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config = load_rung_config(Path("configs/rungs/rung1.yaml"))
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assert config.tier_policy.cheap_shots == 512
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assert config.tier_policy.enable_hardware is False
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assert config.tier_policy.promote_top_k == 2
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def test_load_all_rungs() -> None:
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"""All rung configs should load without error."""
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for i in range(1, 6):
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config_path = Path(f"configs/rungs/rung{i}.yaml")
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if config_path.exists():
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config = load_rung_config(config_path)
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assert config.rung == i
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