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

tests/unit/indicators/test_price_transform.py

@@ -1,6 +1,7 @@
 """Unit tests for ferro_ta.indicators.price_transform"""
+
 import numpy as np
-import pytest
+
 from ferro_ta.indicators.price_transform import AVGPRICE, MEDPRICE, TYPPRICE, WCLPRICE
 
 # ---------------------------------------------------------------------------
@@ -17,6 +18,7 @@ C = np.array([11.0, 12.0, 13.0, 14.0])
 # AVGPRICE
 # ---------------------------------------------------------------------------
 
+
 class TestAVGPRICE:
     def test_known_formula(self):
         result = AVGPRICE(O, H, L, C)
@@ -39,6 +41,7 @@ class TestAVGPRICE:
 # MEDPRICE
 # ---------------------------------------------------------------------------
 
+
 class TestMEDPRICE:
     def test_known_formula(self):
         result = MEDPRICE(H, L)
@@ -61,6 +64,7 @@ class TestMEDPRICE:
 # TYPPRICE
 # ---------------------------------------------------------------------------
 
+
 class TestTYPPRICE:
     def test_known_formula(self):
         result = TYPPRICE(H, L, C)
@@ -83,6 +87,7 @@ class TestTYPPRICE:
 # WCLPRICE
 # ---------------------------------------------------------------------------
 
+
 class TestWCLPRICE:
     def test_known_formula(self):
         result = WCLPRICE(H, L, C)
@@ -99,7 +104,6 @@ class TestWCLPRICE:
 
     def test_close_weight_double(self):
         # WCLPRICE weights close twice vs TYPPRICE
-        typ = TYPPRICE(H, L, C)
         wcl = WCLPRICE(H, L, C)
         # On a rising series (H > L > 0), WCLPRICE > TYPPRICE when C > (H+L)/2
         # Just verify formula correctness already done above