Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
130 lines
5.2 KiB
Python
130 lines
5.2 KiB
Python
"""Cross-prompt word frequency as a second score for where the camera aims."""
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import sys
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from pathlib import Path
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import pytest
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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import focus_memory as fm # noqa: E402
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import shot_camera as sc # noqa: E402
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@pytest.fixture
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def store(tmp_path, monkeypatch):
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monkeypatch.setattr(fm, "_path", lambda: str(tmp_path / "focus_memory.json"))
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return tmp_path
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def test_silent_until_enough_prompts_then_more_seen_means_more_bonus(store):
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assert fm.prior() == {}
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fm.observe("a", ["chin", "lamp"])
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fm.observe("b", ["chin"])
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assert fm.prior() == {} # two prompts: not a habit yet
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fm.observe("c", ["chin", "door"])
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p = fm.prior()
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assert p["chin"] == pytest.approx(fm.FREQ_W) and 0 < p["lamp"] < p["chin"]
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assert p["lamp"] == p["door"]
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def test_the_same_prompt_again_counts_nothing(store):
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for _ in range(5):
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fm.observe("same", ["chin"])
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assert fm.observe("same", ["chin"]) == 1 and fm.prior() == {}
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def test_nothing_to_count_keeps_nothing(store):
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assert fm.observe("a", []) == 0 and fm.prior() == {}
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def test_the_memory_is_its_own_file_named_by_the_environment_or_the_user_dir(monkeypatch, tmp_path):
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monkeypatch.setenv("SHOT_CAMERA_MEMORY", str(tmp_path / "mine.json"))
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assert fm._path() == str(tmp_path / "mine.json")
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fm.observe("a", ["chin"])
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assert (tmp_path / "mine.json").is_file()
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monkeypatch.delenv("SHOT_CAMERA_MEMORY")
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assert fm._path().endswith("focus_memory.json") and "shot_camera" in fm._path()
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def test_shot_camera_and_focus_memory_need_nothing_from_the_host_pack():
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import re
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for name in ("shot_camera.py", "focus_memory.py"):
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src = (Path(__file__).resolve().parents[1] / name).read_text(encoding="utf-8")
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assert not re.search(r"^\s*(?:from|import)\s+(?:conditioning|samplers|templates|movie_editor)", src, re.M)
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def test_a_recurring_word_wins_between_two_otherwise_equal_targets():
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pytest.importorskip("spacy")
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P = "Intro. [Shot 1] <Subject 1> raises the lamp and lowers the mirror."
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plain = sc.add_camera_moves(P)[1][0]["target"]
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lamp = sc.add_camera_moves(P, prior={"lamp": 0.6})[1][0]["target"]
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mirror = sc.add_camera_moves(P, prior={"mirror": 0.6})[1][0]["target"]
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assert "lamp" in lamp or "->" in lamp
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assert "mirror" in mirror or "->" in mirror
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assert plain
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def test_the_prior_never_outranks_an_owned_part():
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pytest.importorskip("spacy")
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P = "Intro. [Shot 1] <Subject 1> touches <Subject 1>'s chin and glances at the lamp."
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_o, rep = sc.add_camera_moves(P, prior={"lamp": sc_max()})
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assert "chin" in rep[0]["target"]
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def sc_max():
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return fm.FREQ_W
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def test_regenerating_with_other_cuts_and_views_is_still_one_prompt():
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base = "Intro. [Shot 1] <Subject 1> waves. [Shot 2] <Subject 2> nods."
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varied = ("Intro. [Shot 1] <Subject 1> waves. [Shot 2] At 00:04.000, the shot changes to a new view. "
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"Side view. <Subject 2> nods.")
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assert sc.content_fingerprint(base) == sc.content_fingerprint(varied)
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assert sc.content_fingerprint(base) != sc.content_fingerprint(base + " More.")
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def test_add_camera_moves_reports_the_words_each_shot_dwells_on():
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pytest.importorskip("spacy")
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_o, rep = sc.add_camera_moves("Intro. [Shot 1] <Subject 1> touches <Subject 1>'s chin.")
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assert rep[0]["lemmas"] == ["chin"]
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def test_refiner_wrapper_counts_prompts_and_uses_the_prior(store, monkeypatch):
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pytest.importorskip("spacy")
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import conditioning
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R = conditioning.FunPackVideoRefinerV2
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monkeypatch.setattr(fm, "_path", lambda: str(store / "focus_memory.json"))
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for i in range(3):
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R._v2_camera_moves(f"Intro. [Shot 1] <Subject 1> touches <Subject 1>'s chin{i and ' again' * i}.",
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"prompt", 1, 1.0)
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assert fm.prior().get("chin", 0) > 0
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def test_a_habit_does_not_win_every_shot_it_merely_appears_in():
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"""100 videos with bananas, then a shot with a banana AND a cherry: the cherry still gets
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the camera some of the time, and only between equals."""
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pytest.importorskip("spacy")
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P = "Intro. [Shot 1] <Subject 1> holds a banana and a cherry."
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heard = {"banana": 0, "cherry": 0}
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for seed in range(200):
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_o, rep = sc.add_camera_moves(P, seed=seed, chance=1.0, prior={"banana": fm.FREQ_W})
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t = rep[0]["target"]
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heard["banana"] += "banana" in t
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heard["cherry"] += "cherry" in t
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assert heard["banana"] > heard["cherry"] > 20, heard # favoured, not decisive
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def test_a_habit_never_beats_a_real_target():
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pytest.importorskip("spacy")
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P = "Intro. [Shot 1] <Subject 1> touches <Subject 1>'s chin and glances at a banana."
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for seed in range(60):
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_o, rep = sc.add_camera_moves(P, seed=seed, chance=1.0, prior={"banana": fm.FREQ_W})
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assert "chin" in rep[0]["target"], rep[0]["target"]
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def test_a_word_the_shot_keeps_returning_to_is_what_it_is_about():
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pytest.importorskip("spacy")
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P = "Intro. [Shot 1] <Subject 1> lifts the cherry, then the lamp, then looks at the cherry again."
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hits = sum("cherry" in sc.add_camera_moves(P, seed=s, chance=1.0)[1][0]["target"] for s in range(80))
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assert hits > 50, hits
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