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## Description Sync the docs with the code after the live-zone realignment. The `IntelligentContextManager` (ICM), `RollingWindow`, and scoring modules were deleted in PR #350 (May 2026), but the README and benchmark docstrings still advertised them as live, and an example still imported the deleted module (broken on run). This fixes the README + benchmarks and removes the dead example. I validated the README against the code with three parallel static-analysis sub-agents (features/architecture, CLI/extras/wrap-matrix, public API/integrations). Most of the README checked out accurate; only the items below were stale/wrong. Closes # ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [ ] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [x] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made - README: removed the `IntelligentContext` bullet and `IntelligentContext / RollingWindow` from the transforms list (both deleted in PR #350). - README: standardized `Kompress-base` -> `Kompress-v2-base` to match the HF model id `chopratejas/kompress-v2-base` and the existing badges (diagram re-aligned). - README: corrected the CodeCompressor language list to match the `CodeLanguage` enum (added TS, C, Perl). - README: softened the unanchored "6 algorithms" tagline to "content-aware compressors". - README: Cortex Code is library-mode only — there is no `headroom wrap cortex`, so the compatibility-matrix row no longer shows a wrap checkmark. - Deleted `examples/test_intelligent_context_toin_ccr.py` — it imported the deleted `IntelligentContextManager` (ImportError on run) and is unreferenced. - Removed stale `RollingWindow` mentions from benchmark docstrings/comments (`benchmarks/__init__.py`, `bench_transforms.py`, `bench_latency.py`, `scenarios/conversations.py`); the accurate PR-B1 retirement comment is kept. ## Testing - [ ] Unit tests pass (`pytest`) — N/A, docs/docstring + example deletion only - [x] Linting passes — `ruff check` clean on all changed benchmark files - [ ] Type checking passes — N/A (no type-relevant changes) - [ ] New tests added — N/A - [x] Manual testing performed — see Real Behavior Proof ### Test Output ```text $ ruff check benchmarks/__init__.py benchmarks/bench_transforms.py benchmarks/bench_latency.py benchmarks/scenarios/conversations.py All checks passed! # stale refs remaining in README/benchmarks (excluding accurate retirement notes): $ grep -rn "IntelligentContext|RollingWindow|Kompress-base" README.md benchmarks/ | grep -v retire (only benchmarks/bench_transforms.py:362 — the accurate PR-B1 retirement comment) # deleted example is unreferenced anywhere: $ grep -rn "test_intelligent_context_toin_ccr" --include=*.md --include=*.yml --include=*.py . (no hits) ``` ## Real Behavior Proof - Environment: macOS (darwin, arm64), Python 3.12 `.venv`, ruff 0.14.x, repo at branch `docs/sync-readme-with-code` off latest `main`. - Exact command / steps: (1) three parallel sub-agents grep/Read-validated README claims vs `headroom/`, `pyproject.toml`, `sdk/typescript/`; (2) directly verified each flagged mismatch (`CodeLanguage` enum, `HF_MODEL_ID`, absence of `IntelligentContext`/`RollingWindow` classes); (3) confirmed the example imports a deleted module and is unreferenced; (4) `ruff check` on changed benchmark files; (5) re-grepped README + benchmarks for any remaining stale refs. - Observed result: README and benchmark docstrings now match the code; the only surviving `RollingWindow` string is the accurate retirement comment; the broken example is removed; ruff passes; the ASCII architecture diagram still aligns after the `Kompress-v2-base` rename. - Not tested: rendering of the README on GitHub/PyPI (text-only change); the separate `docs/content/` and `wiki/` doc sets (see Additional Notes — out of scope for this PR). ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [ ] I have added tests that prove my fix is effective — N/A (docs/example cleanup) - [x] New and existing unit tests pass locally with my changes - [ ] I have updated the CHANGELOG.md — N/A (Release Please auto-generates from the conventional commit) ## Additional Notes **Larger related finding (NOT in this PR):** the published docs site (`docs/content/docs/*.mdx`) and the `wiki/*.md` set still document `IntelligentContextManager`, `RollingWindow`, `RollingWindowConfig`, `IntelligentContextConfig`, and `ScoringWeights` as live API — with `from headroom import RollingWindow` / `from headroom.transforms import IntelligentContextManager` code examples that would `ImportError`. It is half-migrated (a couple of `.mdx` files already note "removed in 0.9.x" while neighbors still teach it as current). This is ~15 files and the fixes require rewriting examples to the live-zone model, not just deletions — recommended as a focused follow-up PR rather than bundling it here.
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
"""Headroom SDK Benchmark Suite.
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This package provides performance benchmarks for Headroom transforms and relevance
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scorers. Benchmarks use pytest-benchmark for accurate timing measurements.
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Usage:
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# Run all benchmarks
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pytest benchmarks/ --benchmark-only
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# Run specific suite
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pytest benchmarks/bench_transforms.py --benchmark-only
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# Generate comparison report
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python benchmarks/run_benchmarks.py --suite all --output report.md
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Performance Targets:
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- SmartCrusher: < 10ms for 1000 items
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- CacheAligner: < 1ms for date extraction
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- BM25Scorer: < 1ms for 100 items
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- HybridScorer: < 50ms for 100 items (with embeddings)
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"""
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__version__ = "0.2.0"
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from .scenarios.conversations import (
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generate_agentic_conversation,
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generate_rag_conversation,
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)
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from .scenarios.tool_outputs import (
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generate_api_responses,
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generate_database_rows,
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generate_log_entries,
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generate_search_results,
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)
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__all__ = [
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# Data generators
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"generate_search_results",
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"generate_log_entries",
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"generate_api_responses",
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"generate_database_rows",
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# Conversation generators
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"generate_agentic_conversation",
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"generate_rag_conversation",
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]
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