release: cut v1.0.0
Prepare the first public 1.0.0 release and finish the remaining CI hardening work. Highlights: - align Python, Rust, WASM, Conda, API, MCP, and docs version metadata to 1.0.0 - promote package metadata to Production/Stable and update stability/versioning docs for the stable series - move the accumulated Unreleased notes into a dated 1.0.0 changelog section and keep a fresh top-level Unreleased block - strengthen the changelog checker so it validates a single top-level Unreleased section - fix the CI/package support mismatch by declaring Python >=3.10 consistently and gating pandas-ta extras to Python 3.12+ - restore Sphinx autodoc compatibility for documented ferro_ta.<module> imports by registering module aliases - make the TA-Lib benchmark guardrail less flaky by checking median and tail-percentile speedups instead of failing on a single mild outlier - switch PyPI publishing to OIDC-only trusted publishing and wire the changelog check into the required CI gate - apply the Ruff-driven cleanup across the Python and test tree and refresh uv/cargo lockfiles Validated locally: - python3 scripts/check_changelog.py - uv run --with ruff ruff check python tests - uv run --with ruff ruff format --check python tests - uv lock --check - sphinx-build -b html docs docs/_build -W --keep-going - build/install the ferro_ta 1.0.0 wheel successfully
This commit is contained in:
Pratik Bhadane
@@ -1,10 +1,27 @@
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"""Unit tests for ferro_ta.indicators.overlap"""
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import numpy as np
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import pytest
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from ferro_ta.indicators.overlap import (
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SMA, EMA, WMA, DEMA, TEMA, TRIMA, KAMA, T3, MA,
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MACD, MACDFIX, MACDEXT, BBANDS, SAR, SAREXT,
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MAMA, MAVP, MIDPOINT, MIDPRICE,
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BBANDS,
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DEMA,
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EMA,
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KAMA,
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MA,
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MACD,
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MACDEXT,
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MACDFIX,
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MAMA,
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MAVP,
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MIDPOINT,
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MIDPRICE,
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SAR,
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SAREXT,
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SMA,
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T3,
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TEMA,
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TRIMA,
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WMA,
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)
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# ---------------------------------------------------------------------------
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@@ -26,6 +43,7 @@ SMALL5_LOW = np.array([9.0, 10.0, 11.0, 12.0, 13.0])
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# SMA
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# ---------------------------------------------------------------------------
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class TestSMA:
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def test_known_values(self):
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result = SMA(SMALL5, timeperiod=3)
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@@ -50,6 +68,7 @@ class TestSMA:
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# EMA
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# ---------------------------------------------------------------------------
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class TestEMA:
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def test_known_values(self):
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# k = 2/(3+1) = 0.5; seed = SMA(3) = 11.0
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@@ -80,13 +99,14 @@ class TestEMA:
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# WMA
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# ---------------------------------------------------------------------------
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class TestWMA:
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def test_known_values(self):
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arr = np.arange(1.0, 6.0)
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result = WMA(arr, timeperiod=3)
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# weights 1,2,3 / 6
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expected_2 = (1*1 + 2*2 + 3*3) / 6.0 # 14/6
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expected_3 = (1*2 + 2*3 + 3*4) / 6.0 # 20/6
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expected_2 = (1 * 1 + 2 * 2 + 3 * 3) / 6.0 # 14/6
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expected_3 = (1 * 2 + 2 * 3 + 3 * 4) / 6.0 # 20/6
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assert np.isnan(result[0]) and np.isnan(result[1])
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np.testing.assert_allclose(result[2], expected_2, rtol=1e-10)
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np.testing.assert_allclose(result[3], expected_3, rtol=1e-10)
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@@ -103,10 +123,11 @@ class TestWMA:
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# DEMA
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# ---------------------------------------------------------------------------
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class TestDEMA:
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def test_nan_warmup(self):
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result = DEMA(_CLOSE, timeperiod=5)
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assert np.all(np.isnan(result[:8])) # DEMA needs 2*(tp-1) bars
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assert np.all(np.isnan(result[:8])) # DEMA needs 2*(tp-1) bars
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def test_length(self):
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assert len(DEMA(_CLOSE, 5)) == N
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@@ -131,6 +152,7 @@ class TestDEMA:
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# TEMA
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# ---------------------------------------------------------------------------
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class TestTEMA:
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def test_nan_warmup(self):
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result = TEMA(_CLOSE, timeperiod=5)
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@@ -150,6 +172,7 @@ class TestTEMA:
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# TRIMA
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# ---------------------------------------------------------------------------
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class TestTRIMA:
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def test_known_values(self):
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arr = np.arange(1.0, 11.0)
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@@ -171,6 +194,7 @@ class TestTRIMA:
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# KAMA
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# ---------------------------------------------------------------------------
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class TestKAMA:
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def test_nan_warmup(self):
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result = KAMA(_CLOSE, timeperiod=10)
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@@ -195,6 +219,7 @@ class TestKAMA:
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# T3
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# ---------------------------------------------------------------------------
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class TestT3:
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def test_nan_warmup(self):
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arr = np.linspace(10.0, 30.0, 100)
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@@ -223,6 +248,7 @@ class TestT3:
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# MA
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# ---------------------------------------------------------------------------
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class TestMA:
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def test_default_is_sma(self):
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result_ma = MA(_CLOSE, timeperiod=10, matype=0)
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@@ -242,6 +268,7 @@ class TestMA:
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# MACD
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# ---------------------------------------------------------------------------
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class TestMACD:
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def test_returns_three_arrays(self):
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result = MACD(_CLOSE, 12, 26, 9)
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@@ -266,6 +293,7 @@ class TestMACD:
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# MACDFIX
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# ---------------------------------------------------------------------------
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class TestMACDFIX:
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def test_returns_three_arrays(self):
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result = MACDFIX(_CLOSE)
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@@ -285,6 +313,7 @@ class TestMACDFIX:
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# MACDEXT
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# ---------------------------------------------------------------------------
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class TestMACDEXT:
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def test_returns_three_arrays(self):
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result = MACDEXT(_CLOSE)
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@@ -303,6 +332,7 @@ class TestMACDEXT:
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# BBANDS
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# ---------------------------------------------------------------------------
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class TestBBANDS:
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def test_returns_three_arrays(self):
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result = BBANDS(_CLOSE, 20)
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@@ -331,6 +361,7 @@ class TestBBANDS:
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# SAR
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# ---------------------------------------------------------------------------
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class TestSAR:
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def test_length(self):
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result = SAR(_HIGH, _LOW)
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@@ -349,6 +380,7 @@ class TestSAR:
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# SAREXT
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# ---------------------------------------------------------------------------
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class TestSAREXT:
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def test_length(self):
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result = SAREXT(_HIGH, _LOW)
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@@ -367,6 +399,7 @@ class TestSAREXT:
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# MAMA
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# ---------------------------------------------------------------------------
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class TestMAMA:
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def test_returns_two_arrays(self):
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result = MAMA(_CLOSE)
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@@ -393,6 +426,7 @@ class TestMAMA:
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# MAVP
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# ---------------------------------------------------------------------------
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class TestMAVP:
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def test_length(self):
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arr = np.linspace(10.0, 30.0, 50)
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@@ -412,6 +446,7 @@ class TestMAVP:
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# MIDPOINT
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# ---------------------------------------------------------------------------
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class TestMIDPOINT:
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def test_known_values(self):
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arr = np.array([10.0, 12.0, 14.0, 16.0, 18.0])
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@@ -433,6 +468,7 @@ class TestMIDPOINT:
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# MIDPRICE
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# ---------------------------------------------------------------------------
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class TestMIDPRICE:
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def test_known_values(self):
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result = MIDPRICE(SMALL5_HIGH, SMALL5_LOW, timeperiod=3)
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