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## Summary <!-- What's the purpose of the change? What does it do, and why? --> Hi! Currently NumPy Python API is undergoing a cleanup process that will be delivered in NumPy 2.0 (release is planned for the end of the year). Most changes are rather simple (renaming, removing or moving a member of the main namespace to a new place), and they could be flagged/fixed by an additional ruff rule for numpy (e.g. changing occurrences of `np.float_` to `np.float64`). Would you accept such rule? I named it `NPY201` in the existing group, so people will receive a heads-up for changes arriving in 2.0 before actually migrating to it. ~~This is still a draft PR.~~ I'm not an expert in rust so if any part of code can be done better please share! NumPy 2.0 migration guide: https://numpy.org/devdocs/numpy_2_0_migration_guide.html NEP 52: https://numpy.org/neps/nep-0052-python-api-cleanup.html NumPy cleanup tracking issue: https://github.com/numpy/numpy/issues/23999 ## Test Plan A unit test is provided that checks all rule's fix cases.
106 lines
1.1 KiB
Python
106 lines
1.1 KiB
Python
def func():
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import numpy as np
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np.add_docstring
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np.add_newdoc
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np.add_newdoc_ufunc
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np.asfarray([1,2,3])
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np.byte_bounds(np.array([1,2,3]))
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np.cast
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np.cfloat(12+34j)
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np.clongfloat(12+34j)
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np.compat
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np.complex_(12+34j)
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np.DataSource
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np.deprecate
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np.deprecate_with_doc
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np.disp(10)
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np.fastCopyAndTranspose
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np.find_common_type
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np.get_array_wrap
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np.float_
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np.geterrobj
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np.Inf
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np.Infinity
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np.infty
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np.issctype
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np.issubclass_(np.int32, np.integer)
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np.issubsctype
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np.mat
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np.maximum_sctype
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np.NaN
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np.nbytes[np.int64]
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np.NINF
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np.NZERO
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np.longcomplex(12+34j)
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np.longfloat(12+34j)
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np.lookfor
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np.obj2sctype(int)
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np.PINF
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np.PZERO
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np.recfromcsv
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np.recfromtxt
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np.round_(12.34)
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np.safe_eval
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np.sctype2char
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np.sctypes
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np.seterrobj
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np.set_numeric_ops
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np.set_string_function
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np.singlecomplex(12+1j)
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np.string_("asdf")
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np.source
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np.tracemalloc_domain
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np.unicode_("asf")
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np.who()
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