anti
66c73ce59d
Per-session 64-bit SimHash of inter-keystroke digraph flight times: walk single-char input events, accumulate flight time per (c1,c2), bucket the median, Charikar-SimHash the bucketed pairs. Locality- sensitive so the same typist is Hamming-close across sessions; pastes and think-pauses break the chain; silent below the sample-size floor. New shared decnet/util/simhash.py (simhash64/hamming64/bytes helpers). Registered as a conditional Tier-A primitive (count 37->38); requires behave-shell>=0.1.2.
108 lines
2.6 KiB
Python
108 lines
2.6 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""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 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.cognitive import (
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cognitive_load,
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command_branch_diversity,
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error_resilience_fallback_to_man,
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error_resilience_frustration_typing,
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error_resilience_retry_tactic,
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exploration_style,
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feedback_loop_engagement,
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planning_depth,
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tool_vocabulary,
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inter_command_consistency,
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inter_command_latency_class,
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)
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from decnet.profiler.behave_shell._features.emotional_valence import (
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arousal,
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frustration_venting,
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stress_response,
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valence,
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)
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from decnet.profiler.behave_shell._features.environmental import (
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keyboard_layout,
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locale,
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numpad_usage,
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shell_type,
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terminal_multiplexer,
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)
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from decnet.profiler.behave_shell._features.operational import (
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cleanup_behavior,
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multi_actor_indicators,
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objective,
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opsec_discipline,
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)
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from decnet.profiler.behave_shell._features.temporal import (
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escalation_pattern,
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exit_behavior,
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landing_ritual,
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session_duration,
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)
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from decnet.profiler.behave_shell._features.motor import (
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command_chunking,
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digraph_simhash,
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error_correction,
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input_modality,
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keystroke_cadence,
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motor_stability,
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paste_burst_rate,
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pipe_chaining_depth,
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shortcut_usage,
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tab_completion,
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)
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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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paste_burst_rate,
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keystroke_cadence,
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digraph_simhash,
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motor_stability,
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error_correction,
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command_chunking,
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tab_completion,
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shortcut_usage,
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pipe_chaining_depth,
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inter_command_latency_class,
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command_branch_diversity,
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feedback_loop_engagement,
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inter_command_consistency,
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cognitive_load,
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exploration_style,
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planning_depth,
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tool_vocabulary,
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error_resilience_retry_tactic,
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error_resilience_frustration_typing,
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error_resilience_fallback_to_man,
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session_duration,
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escalation_pattern,
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landing_ritual,
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exit_behavior,
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shell_type,
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terminal_multiplexer,
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locale,
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keyboard_layout,
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numpad_usage,
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objective,
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opsec_discipline,
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cleanup_behavior,
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multi_actor_indicators,
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valence,
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arousal,
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stress_response,
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frustration_venting,
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)
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