[pull] master from polakowo:master#40
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- Minimum Python version: Bumped from 3.6 to 3.10 (since 3.9 is now EOL) - Numba constraints: Kept Python version-specific constraints (<0.57.0 for 3.10, >=0.57.0 for 3.11+) rather than simplifying - Package data: Used explicit [tool.setuptools.package-data] declaration instead of include-package-data = true for clarity about the required template JSON files - License handling: Used license-files = ["LICENSE.md"] without a license field, since "Apache 2.0 with Commons Clause" isn't a valid SPDX identifier and the table format is deprecated - Removed deprecated classifier: Dropped License :: Free for non-commercial use to avoid deprecation warnings - Backwards compatibility: Kept a minimal setup.py shim for older pip versions - Deleted MANIFEST.in: No longer needed - pyproject.toml handles both sdist and wheel package data
Version limit was conflicting with pandas-ta-classic which requires numpy 2.0+
was only used for pandas version checks, but realistically we require pandas version much above 1.5 anyway so no point checking for versions below that
separately defined lambda functions do not produce the same dill.dumps() serialization. The only reason it passed before is because the lambdas were defined on the same line. Newer versions of python also capture the column of each code object so this test started to fail
…butes like the actual code, variables etc previously we relied on exact serializations of functions. This failed in recent versions of python due to functions now storing the precise location that they were created
…t-toml Migrate to pyproject.toml, pandas 2.0 and new python version compatibility
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