anti
879f5e731b
BEHAVE-EXTRACTOR.md Phase A Step 2. The first primitive — picked
first because it has the highest discriminative value (HUMAN vs
everyone) and the simplest implementation (paste-event ratio over
total inputs).
* _features/motor.py:input_modality(ctx) emits one Observation
per session in {typed, pasted, mixed} with confidence 0.75 / 0.70.
* _features/_emit.py centralises the make_observation helper so
every feature module gets the same Window/source/evidence_ref
boilerplate without copy-paste.
* Thresholds inherited from the prototype's calibration history
(MODALITY_PASTED_MIN=0.40, MODALITY_TYPED_MAX=0.05).
* Zero-input session skips emission — registry doesn't admit
"unknown" here.
Tests: pure-typed → typed, pure-pasted → pasted, mixed → mixed,
output-only session → no observation, full envelope round-trip.
21 lines
608 B
Python
21 lines
608 B
Python
"""Registered feature functions.
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Each entry takes a ``SessionContext`` and yields zero or more
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``Observation`` instances. Adding a primitive = adding a function in a
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sibling module and appending it to ``FEATURES``.
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"""
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from __future__ import annotations
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from typing import Callable, Iterable
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from decnet_behave_core.spec.envelope import Observation
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from decnet.profiler.behave_shell._ctx import SessionContext
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from decnet.profiler.behave_shell._features.motor import input_modality
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FeatureFn = Callable[[SessionContext], Iterable[Observation]]
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FEATURES: tuple[FeatureFn, ...] = (
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input_modality,
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)
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