anti
f2b3393669
Replaces LICENSE (GPLv3 -> AGPLv3) and prepends `SPDX-License-Identifier: AGPL-3.0-or-later` to every source file across decnet/, decnet_web/, tests/, scripts/, and tools/. Rationale: closes the GPLv3 ASP loophole so any party operating a modified DECNET as a network service must offer their modified source. Personal copyright (Samuel Paschuan) + inbound=outbound contributions make a future unilateral relicense infeasible. - LICENSE: full AGPL-3.0 text (gnu.org/licenses/agpl-3.0.txt) - COPYRIGHT: project copyright notice - tools/add_spdx_headers.py: idempotent header injector (shebang- and PEP 263-aware) Touches 1565 source files (.py, .ts, .tsx, .js, .jsx, .css, .sh). No behavior change; comments only.
59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""Step 8: ``cognitive.inter_command_consistency``."""
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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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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 _commands_at(starts: list[float]) -> list[AsciinemaEvent]:
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events: list[AsciinemaEvent] = []
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for s in starts:
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events.append((s, "i", "x\r"))
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return events
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def test_too_few_iats_no_emission() -> None:
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out = list(extract_session(_commands_at([0.0, 1.0]), sid="cv-low"))
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assert [o for o in out if o.primitive == "cognitive.inter_command_consistency"] == []
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def test_uniform_pace_emits_metronomic() -> None:
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# Constant 1s gap → CV 0
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out = list(extract_session(
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_commands_at([i * 1.0 for i in range(8)]), sid="cv-metro",
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))
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obs = _of(out, "cognitive.inter_command_consistency")
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assert obs.value == "metronomic"
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def test_human_like_dispersion_emits_variable() -> None:
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# Pauses around 1s mean with CV ≈ 0.9 (human empirical)
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starts = [0.0, 0.4, 1.4, 1.6, 4.0, 4.4, 7.5]
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out = list(extract_session(_commands_at(starts), sid="cv-var"))
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obs = _of(out, "cognitive.inter_command_consistency")
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assert obs.value == "variable"
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def test_extreme_dispersion_emits_bimodal() -> None:
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# Mix of very tight bursts and very long gaps → CV well above 1.5
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starts = [0.0, 0.1, 0.2, 30.0, 30.1, 30.2, 60.0]
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out = list(extract_session(_commands_at(starts), sid="cv-bi"))
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obs = _of(out, "cognitive.inter_command_consistency")
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assert obs.value == "bimodal"
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def test_low_sample_count_reduces_confidence() -> None:
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# 3 commands → 2 IATs; below the floor of 5
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short = list(extract_session(_commands_at([0.0, 1.0, 2.0]), sid="cv-short"))
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full = list(extract_session(_commands_at([i * 1.0 for i in range(8)]), sid="cv-full"))
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s = _of(short, "cognitive.inter_command_consistency")
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f = _of(full, "cognitive.inter_command_consistency")
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assert s.confidence < f.confidence
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