TYP: fix signatures of ndarray.put and ndarray.view
#28508
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Diff from mypy_primer, showing the effect of this PR on type check results on a corpus of open source code: pandas (https://github.com/pandas-dev/pandas)
+ pandas/core/arrays/datetimes.py:819: error: Unused "type: ignore" comment [unused-ignore]
+ pandas/core/arrays/_mixins.py:156: error: Unused "type: ignore" comment [unused-ignore]
- pandas/io/sas/sas_xport.py:245: error: Incompatible types in assignment (expression has type "ndarray[tuple[int, ...], dtype[Any]]", variable has type "ndarray[tuple[int], dtype[Any]]") [assignment]
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Thanks Joren. |
charris
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Mar 15, 2025
…28521) * TYP: stub ``numpy._core.umath`` Backport of numpy/numtype#123 * TYP: fix typing errors in ``numpy.lib._arrayterator_impl`` Ported from numpy/numtype#165 * TYP: fix signatures of ``ndarray.put`` and ``ndarray.view`` partial port of numpy/numtype#200 * TYP: fix typing errors in ``_core.fromnumeric`` Partial port of numpy/numtype#221 * TYP: fix typing errors in ``_core.function_base`` Partial port of numpy/numtype#221 * TYP: add missing implicit re-exports in ``_core.numeric`` Partial port of numpy/numtype#221 * STY: fix `E203` flake8 error --------- Co-authored-by: jorenham <jhammudoglu@gmail.com>
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partial port of numpy/numtype#200