Add moving-average smoothing (SMA / WMA / EWMA / rolling)#310
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stats.describe summarises a whole sample and timeseries rolls counters into rates, but nothing smoothed a noisy signal or weighted recent points. Add trailing simple / weighted / exponentially-weighted moving averages and a generic rolling reducer, each returning a same-length list aligned to the input timeline. Wired through facade, executor (AC_sma / AC_ewma), MCP, and the Script Builder with a headless test batch and EN/Zh docs.
Up to standards ✅🟢 Issues
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| Metric | Results |
|---|---|
| Complexity | 31 |
| Duplication | 0 |
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What
stats.describesummarizes a whole sample andtimeseriesrolls counters into rates, but nothing smoothed a noisy signal.sma(values, window)/wma(values, weights)/ewma(values, *, alpha)— trailing moving averages.rolling(values, window, func)— generic trailing-window reduction.All return a same-length list aligned to the input timeline.
Layers
utils/smoothing/(pure stdlib, zero PySide6).__all__.AC_sma,AC_ewma.ac_sma,ac_ewma(read-only).test/unit_test/headless/test_smoothing_batch.py(8 tests).v102_features_doc.rst(EN + Zh) + toctrees + 3 README What's-new sections.Verification
pytest→ 8 passed;ruff/pylint 10.00/bandit/radon clean; Qt-free.