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- Add comprehensive tests for all packages (3572 tests, 100% branch coverage) - Split oversized test files to stay under 500-line limit - Add per-file ruff ignores for test-appropriate suppressions - Fix _cache_decks.py to properly convert JSON lists to tuples - Add session-scoped conftest fixture for logging handler cleanup (Python 3.14) - Update ruff pre-commit hook to v0.15.2 - Add codespell ignore words for test data - Add generated output files to .gitignore
110 lines
3.1 KiB
Python
110 lines
3.1 KiB
Python
"""Tests for _q23_classical module."""
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from __future__ import annotations
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def test_segmentation_concept() -> None:
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"""_segmentation_concept returns slides."""
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from python_pkg.praca_magisterska_video._q23_classical import (
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_segmentation_concept,
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)
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slides = _segmentation_concept()
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assert isinstance(slides, list)
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assert len(slides) == 1
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def test_thresholding_demo() -> None:
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"""_thresholding_demo returns slides with animated threshold."""
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from python_pkg.praca_magisterska_video._q23_classical import (
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_thresholding_demo,
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)
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slides = _thresholding_demo()
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assert isinstance(slides, list)
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assert len(slides) == 1
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def test_region_growing_demo() -> None:
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"""_region_growing_demo returns slides with animated BFS."""
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from python_pkg.praca_magisterska_video._q23_classical import (
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_region_growing_demo,
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)
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slides = _region_growing_demo()
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assert isinstance(slides, list)
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assert len(slides) == 1
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def test_watershed_demo() -> None:
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"""_watershed_demo returns slides with flooding animation."""
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from python_pkg.praca_magisterska_video._q23_classical import (
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_watershed_demo,
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)
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slides = _watershed_demo()
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assert isinstance(slides, list)
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assert len(slides) == 1
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def test_make_image_frame_directly() -> None:
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"""Exercise the make_image_frame closure at different time values."""
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# The frame-generation functions are closures inside the demo functions.
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# They're already exercised by conftest's VideoClip mock,
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# but let's also verify output shape via _segmentation_concept.
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from python_pkg.praca_magisterska_video._q23_classical import (
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_segmentation_concept,
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)
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result = _segmentation_concept()
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assert result is not None
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def test_threshold_frame_high_time() -> None:
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"""Verify thresholding at high time (threshold near max)."""
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from python_pkg.praca_magisterska_video._q23_classical import (
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_thresholding_demo,
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)
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# VideoClip mock automatically calls make_frame at 0, 0.75*dur, 0.99*dur
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result = _thresholding_demo()
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assert len(result) >= 1
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def test_watershed_frame_generation() -> None:
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"""Watershed frames exercise dam visibility branches."""
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from python_pkg.praca_magisterska_video._q23_classical import (
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_watershed_demo,
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)
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result = _watershed_demo()
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assert len(result) >= 1
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def test_thresholding_small_w() -> None:
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"""Exercise thresholding with small W so x+bar_w >= W false branches fire."""
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import python_pkg.praca_magisterska_video._q23_classical as mod
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orig_w = mod.W
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try:
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mod.W = 200
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slides = mod._thresholding_demo()
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assert len(slides) >= 1
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finally:
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mod.W = orig_w
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def test_watershed_small_w() -> None:
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"""Exercise watershed with small W so fill_top/fill_bot edge branches fire."""
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import python_pkg.praca_magisterska_video._q23_classical as mod
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orig_w, orig_h = mod.W, mod.H
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try:
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mod.W = 150
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mod.H = 200
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slides = mod._watershed_demo()
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assert len(slides) >= 1
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finally:
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mod.W = orig_w
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mod.H = orig_h
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