Ben Stull
82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
import math
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import pytest
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from hef.catalog import Record
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from hef.selection import Coordinate, Weights, distance, record_coordinate
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def make_record(**overrides):
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base = dict(
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id="r",
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title="t",
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source_url="u",
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source_archive="internet_archive",
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license="public_domain",
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mode="video",
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left=0,
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right=0,
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dark=0,
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light=0,
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duration_s=600,
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file_path="/media/r.mp4",
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)
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base.update(overrides)
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return Record(**base)
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def test_distance_zero_for_same_point():
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c = Coordinate(2, 2, 2, 2)
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assert distance(c, c) == 0.0
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def test_distance_is_euclidean_by_default():
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a = Coordinate(0, 0, 0, 0)
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b = Coordinate(1, 1, 1, 1)
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assert distance(a, b) == pytest.approx(2.0) # sqrt(1+1+1+1)
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def test_weights_scale_planes_independently():
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a = Coordinate(0, 0, 0, 0)
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brain_only = Coordinate(1, 0, 0, 0)
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mood_only = Coordinate(0, 0, 1, 0)
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w = Weights(brain=4.0, mood=1.0)
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assert distance(a, brain_only, w) == pytest.approx(2.0) # sqrt(4*1)
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assert distance(a, mood_only, w) == pytest.approx(1.0) # sqrt(1*1)
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def test_record_coordinate_extracts_axes():
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record = make_record(left=1, right=2, dark=3, light=4)
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assert record_coordinate(record) == Coordinate(1, 2, 3, 4)
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from hef.selection import candidates_for_mode
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def test_candidates_filter_to_exact_mode():
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records = [make_record(id="v", mode="video"), make_record(id="a", mode="audio")]
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result = candidates_for_mode(records, "audio", pool_size=4)
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assert [r.id for r in result] == ["a"]
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def test_av_does_not_fall_back_when_enough_av():
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records = [make_record(id=f"av{i}", mode="av") for i in range(4)]
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records.append(make_record(id="a", mode="audio"))
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result = candidates_for_mode(records, "av", pool_size=4)
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assert {r.id for r in result} == {"av0", "av1", "av2", "av3"}
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def test_av_falls_back_to_audio_and_video_when_thin():
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records = [
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make_record(id="av0", mode="av"),
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make_record(id="a", mode="audio"),
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make_record(id="v", mode="video"),
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]
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result = candidates_for_mode(records, "av", pool_size=4)
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assert {r.id for r in result} == {"av0", "a", "v"}
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def test_candidates_rejects_none_mode():
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with pytest.raises(ValueError):
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candidates_for_mode([], "none", pool_size=4)
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