xgboosted
c97c1603e9
Bump black 26.3.1→26.5.1 and ruff 0.6.0→0.15.20 in pyproject.toml. Unpin black (== → >=) to match ruff convention. Sync .pre-commit-config.yaml revs to match. Drop default_language_version — hooks work on any Python ≥3.10. Document dual-config pattern in AGENTS.md to prevent future drift.
266 lines
8.0 KiB
TOML
266 lines
8.0 KiB
TOML
[build-system]
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requires = ["setuptools>=61.0", "setuptools-scm>=8.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "pandas-ta-classic"
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dynamic = ["version"] # Version is dynamically determined from git tags
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description = "Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with a comprehensive collection of indicators and TA-Lib patterns."
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readme = "README.md"
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license = {text = "MIT"}
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authors = [
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{name = "xgboosted"}
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]
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maintainers = [
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{name = "xgboosted"}
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]
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keywords = ["technical analysis", "trading", "python3", "pandas"]
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classifiers = [
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"Development Status :: 5 - Production/Stable",
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"Operating System :: OS Independent",
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"Natural Language :: English",
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"Intended Audience :: Developers",
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"Intended Audience :: Financial and Insurance Industry",
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"Intended Audience :: Science/Research",
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"Topic :: Office/Business :: Financial",
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"Topic :: Office/Business :: Financial :: Investment",
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"Topic :: Scientific/Engineering",
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"Topic :: Scientific/Engineering :: Information Analysis",
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# Python version classifiers below are PLACEHOLDERS
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# Replaced dynamically by CI/CD during release based on generate-matrix job
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# Format: LATEST_PYTHON_VERSION and 4 preceding minor versions
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"Programming Language :: Python :: {{LATEST-4}}",
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"Programming Language :: Python :: {{LATEST-3}}",
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"Programming Language :: Python :: {{LATEST-2}}",
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"Programming Language :: Python :: {{LATEST-1}}",
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"Programming Language :: Python :: {{LATEST}}",
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]
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requires-python = ">=3.9" # Minimum Python version - dynamically updated by CI/CD during release
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dependencies = [
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"numpy>=2.0.0",
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"pandas>=2.0.0",
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]
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[project.optional-dependencies]
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# Core optional runtime dependencies
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optional = [
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"scipy",
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"scikit-learn",
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"statsmodels",
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"stochastic",
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"tqdm",
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]
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# External oracle libraries for parity tests
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oracle = [
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"ta-lib",
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"tulipy",
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]
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# CI code quality tools
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lint = [
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"ruff>=0.15.20",
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"black>=26.5.1",
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]
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# PyPI publishing tools
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publish = [
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"build>=0.10.0",
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"twine>=4.0.0",
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"setuptools-scm>=7.0.0",
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]
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# Development tools (code quality, linting, building)
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dev = [
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# Include testing dependencies
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"pandas-ta-classic[test]",
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# Include documentation dependencies
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"pandas-ta-classic[docs]",
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# Include lint and publish tools
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"pandas-ta-classic[lint]",
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"pandas-ta-classic[publish]",
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# Type checking and linting
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"mypy>=1.0.0",
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"isort>=5.0.0",
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# Pre-commit hooks
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"pre-commit>=3.0.0",
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]
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# Testing framework
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test = [
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"pytest>=7.0.0",
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"pytest-cov>=4.0.0",
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"pytest-benchmark>=4.0.0",
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"hypothesis>=6.0.0"
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]
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# Documentation building
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docs = [
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"sphinx>=5.0.0",
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"sphinx-rtd-theme>=1.0.0",
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"myst-parser>=2.0.0",
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"matplotlib",
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"mplfinance"
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]
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# Performance optimization
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performance = [
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"numba>=0.58.0",
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"cython>=3.0.0"
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]
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# Data sources and external integrations
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integration = [
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"backtesting",
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"vectorbt",
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"backtrader",
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"yfinance",
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"alpha-vantage"
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]
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# Complete environment with all features
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all = [
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"pandas-ta-classic[optional,oracle,dev,test,docs,performance,integration]"
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]
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[project.urls]
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Homepage = "https://github.com/xgboosted/pandas-ta-classic"
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Repository = "https://github.com/xgboosted/pandas-ta-classic.git"
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Documentation = "https://xgboosted.github.io/pandas-ta-classic/"
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"Bug Tracker" = "https://github.com/xgboosted/pandas-ta-classic/issues"
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[tool.pytest.ini_options]
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markers = [
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"regression: snapshot regression tests — run with -m regression",
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]
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filterwarnings = [
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"error::UserWarning:pandas_ta_classic",
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]
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[tool.black]
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line-length = 150
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skip-string-normalization = true
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exclude = '''
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/(
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\.venv
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| \.git
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| __pycache__
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| \.eggs
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| .*\.egg-info
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)/
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'''
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[tool.ruff]
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exclude = [
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".venv",
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".git",
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"__pycache__",
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".eggs",
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"*.egg-info",
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]
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line-length = 150
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[tool.setuptools]
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packages = [
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"pandas_ta_classic",
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"pandas_ta_classic.candles",
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"pandas_ta_classic.cycles",
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"pandas_ta_classic.momentum",
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"pandas_ta_classic.overlap",
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"pandas_ta_classic.performance",
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"pandas_ta_classic.statistics",
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"pandas_ta_classic.trend",
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"pandas_ta_classic.utils",
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"pandas_ta_classic.utils.data",
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"pandas_ta_classic.volatility",
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"pandas_ta_classic.volume"
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]
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[tool.setuptools_scm]
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# Automatically determine version from git tags
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# Tagged releases: X.Y.Z (e.g., 0.3.34)
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# Commits after tag: X.Y.(Z+1).devN (e.g., 0.3.35.dev1, 0.3.35.dev2)
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# This avoids .post0 on tagged commits while still tracking development versions
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write_to = "pandas_ta_classic/_version.py"
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# Default scheme: gives clean version on tags, next minor .devN after tags
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local_scheme = "no-local-version" # Omit local version for clean releases
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fallback_version = "0.0.0" # Fallback if not in a git repository
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[tool.mypy]
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packages = ["pandas_ta_classic"]
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python_version = "3.9"
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warn_return_any = false
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warn_unused_configs = true
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ignore_missing_imports = true
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disallow_untyped_defs = false
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check_untyped_defs = true
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no_implicit_optional = true
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strict_optional = true
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# Suppress false positives from pandas/numpy partial stubs.
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# - union-attr, operator, index: pandas methods like .diff()/.shift() are typed
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# as returning Optional[Any] in pandas' built-in stubs (no py.typed marker),
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# causing chained-operation errors that are not real bugs in our code.
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# - attr-defined: under numpy 2.0 + Python 3.9, numpy stubs type some results
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# as ndarray[...] instead of Optional[Any], causing false positives for pandas
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# Series methods (.shift(), .name, etc.) on the same patterns.
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# - no-redef: each category __init__.py re-exports functions by name
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# (e.g. `from .roc import roc`), which shadows the submodule of the same
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# name. mypy sees this as a redefinition, but it works correctly at runtime.
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disable_error_code = ["union-attr", "operator", "no-redef", "index", "attr-defined"]
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# Per-module overrides for pre-existing code issues that require logic changes
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# (not annotation-only) to fix properly.
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[[tool.mypy.overrides]]
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module = "pandas_ta_classic.core"
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# assignment: wildcard imports (from .performance import *) shadow module names
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# with function names — same __init__.py re-export pattern as no-redef.
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# arg-type: Strategy(ta=None) — None is intentional sentinel for "all indicators".
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# return-value: version property returns importlib version string, typed as
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# Callable by mypy due to _meta.py import pattern.
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disable_error_code = ["assignment", "arg-type", "return-value"]
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[[tool.mypy.overrides]]
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module = "pandas_ta_classic._meta"
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# _meta.py re-assigns `version` from importlib.metadata.version (Callable)
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# to a str — pre-existing structural pattern.
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disable_error_code = ["assignment"]
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[[tool.mypy.overrides]]
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module = [
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"pandas_ta_classic.trend.increasing",
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"pandas_ta_classic.trend.decreasing",
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"pandas_ta_classic.candles.cdl_doji",
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]
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# float(Optional[float]) false positive: is_percent()/is_volatility() guards
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# against None at runtime, but mypy can't narrow the type without TypeGuard
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# (available only in typing_extensions for Python <3.10).
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disable_error_code = ["arg-type"]
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[[tool.mypy.overrides]]
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module = "pandas_ta_classic.trend.xsignals"
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# **dict[str, Optional[int]] unpacking into tsignals() positional args —
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# pre-existing call pattern that mypy cannot verify via **kwargs unpacking.
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disable_error_code = ["arg-type"]
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[[tool.mypy.overrides]]
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module = [
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"pandas_ta_classic.volatility.bbands",
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"pandas_ta_classic.volatility.atr",
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"pandas_ta_classic.trend.aroon",
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"pandas_ta_classic.overlap.trima",
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"pandas_ta_classic.overlap.t3",
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"pandas_ta_classic.overlap.dema",
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"pandas_ta_classic.momentum.macd",
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"pandas_ta_classic.momentum.dm",
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]
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# Under numpy 2.0 + Python 3.9, numpy stubs type arithmetic results as
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# ndarray[Any, dtype[floating[_64Bit]]] precisely, causing false-positive
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# assignment errors when the variable is later reassigned with Optional[Any]
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# or Union types from pandas operations. Not reproducible under Python 3.13.
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disable_error_code = ["assignment"]
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