anti
cd7c7ea5a2
ANTI authorised dropping the PII boundary for this primitive. ctx gains typed_unigram_counts / typed_bigram_counts / typed_letter_count populated during the existing single-pass input walk (paste-class events excluded). Two-axis classifier: * layout-artefact unigrams take priority — q rate above floor with low English saturation → azerty; z above floor with y below → qwertz * fallback to English-bigram saturation: ≥ floor → qwerty, else other Sample-size floor 200 typed letters; bigram histogram capped at top-64 to bound memory. Confidence cap stays moderate (0.40-0.55) — heuristic discriminator.
80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
"""Step F.4: ``environmental.keyboard_layout``."""
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from __future__ import annotations
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from decnet.profiler.behave_shell import extract_session
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from decnet.profiler.behave_shell._parse import AsciinemaEvent
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PRIMITIVE = "environmental.keyboard_layout"
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def _of(observations: list, primitive: str):
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obs = [o for o in observations if o.primitive == primitive]
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assert len(obs) == 1, f"expected exactly one {primitive}, got {len(obs)}"
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return obs[0]
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def _typed_session(text: str, t0: float = 0.0, dt: float = 0.05) -> list[AsciinemaEvent]:
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"""Type ``text`` char-by-char and run as one command."""
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events: list[AsciinemaEvent] = [
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(t0 + i * dt, "i", c) for i, c in enumerate(text)
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]
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events.append((t0 + len(text) * dt, "i", "\r"))
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return events
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def test_below_min_typed_letters_no_emission() -> None:
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out = list(extract_session(_typed_session("hi"), sid="kl-tiny"))
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assert [o for o in out if o.primitive == PRIMITIVE] == []
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def test_english_text_emits_qwerty() -> None:
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"""Pangram repeated to clear LAYOUT_MIN_TYPED_LETTERS (200)."""
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pangram = "the quick brown fox jumps over the lazy dog and then he ran inside the house "
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text = pangram * 5
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obs = _of(list(extract_session(_typed_session(text), sid="kl-en")), PRIMITIVE)
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assert obs.value == "qwerty"
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def test_french_with_q_artifacts_emits_azerty() -> None:
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"""High `q` rate AND low English saturation → azerty.
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Construct text dominated by `q`-runs and consonant clusters that
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don't form top-10 English bigrams (avoiding `er` / `he` / `th`).
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"""
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text = ("qqqqqqq " * 50 + "qsdfg " * 30 + "qpkml " * 30)
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obs = _of(list(extract_session(_typed_session(text), sid="kl-fr")), PRIMITIVE)
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assert obs.value == "azerty"
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def test_german_with_z_artifacts_emits_qwertz() -> None:
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"""High `z` rate AND low `y` rate → qwertz."""
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# German text simulation: lots of z, almost no y
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text = (
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"zwei zauber zaehlen zwischen zwanzig zelten "
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"zaubern zwanzig zwerge zaehlen zaubern zwanzig "
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) * 5
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obs = _of(list(extract_session(_typed_session(text), sid="kl-de")), PRIMITIVE)
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assert obs.value == "qwertz"
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def test_random_low_signal_emits_other() -> None:
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"""Random non-English low-bigram-saturation text → other."""
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# Generate text without English digraphs and without artifact unigrams
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text = ("kpfm vbnj wxlc " * 30)
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obs = _of(list(extract_session(_typed_session(text), sid="kl-other")), PRIMITIVE)
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assert obs.value == "other"
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def test_pasted_text_does_not_count() -> None:
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"""A long paste shouldn't drive layout — only typed chars count.
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Send everything as a single 'paste-class' input event (>= 4 chars):
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F.4's histograms exclude pastes, so the typed letter count stays
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at zero and emission is skipped.
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"""
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pangram = "the quick brown fox jumps over the lazy dog " * 10
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events: list[AsciinemaEvent] = [(0.0, "i", pangram), (1.0, "i", "\r")]
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out = list(extract_session(events, sid="kl-paste"))
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assert [o for o in out if o.primitive == PRIMITIVE] == []
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