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Dict of expired attributes that are discontinued since 2.0 release.
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Each item is associated with a migration note.
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Ú geterrobjz,Use the np.errstate context manager instead.Ú seterrobjÚcastz+Use `np.asarray(arr, dtype=dtype)` instead.Úsourcez Use `inspect.getsource` instead.Úlookforz&Search NumPy's documentation directly.Úwhoz3Use an IDE variable explorer or `locals()` instead.ÚfastCopyAndTransposezUse `arr.T.copy()` instead.Úset_numeric_opszFor the general case, use `PyUFunc_ReplaceLoopBySignature`. For ndarray subclasses, define the ``__array_ufunc__`` method and override the relevant ufunc.ÚNINFzUse `-np.inf` instead.ÚPINFzUse `np.inf` instead.ÚNZEROzUse `-0.0` instead.ÚPZEROzUse `0.0` instead.Ú
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add_newdocz,It's still available as `np.lib.add_newdoc`.Ú add_docstringz/It's still available as `np.lib.add_docstring`.Úadd_newdoc_ufuncz9It's an internal function and doesn't have a replacement.Ú safe_evalz Use `ast.literal_eval` instead.Úfloat_zUse `np.float64` instead.Úcomplex_z Use `np.complex128` instead.Ú longfloatz Use `np.longdouble` instead.Ú singlecomplexzUse `np.complex64` instead.ÚcfloatÚ longcomplexz Use `np.clongdouble` instead.Ú
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clongfloatÚstring_zUse `np.bytes_` instead.Úunicode_zUse `np.str_` instead.ÚInfÚInfinityÚNaNzUse `np.nan` instead.ÚinftyÚissctypez*Use `issubclass(rep, np.generic)` instead.Úmaximum_sctypezUse a specific dtype instead. You should avoid relying on any implicit mechanism and select the largest dtype of a kind explicitly in the code.Ú
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obj2sctypez!Use `np.dtype(obj).type` instead.Ú sctype2charz!Use `np.dtype(obj).char` instead.Úsctypesz!Access dtypes explicitly instead.Ú issubsctypez Use `np.issubdtype` instead.Úset_string_functionzXUse `np.set_printoptions` instead with a formatter for custom printing of NumPy objects.Úasfarrayz-Use `np.asarray` with a proper dtype instead.Ú issubclass_z!Use `issubclass` builtin instead.Útracemalloc_domainz!It's now available from `np.lib`.ÚmatzUse `np.asmatrix` instead.Ú
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recfromcsvz1Use `np.genfromtxt` with comma delimiter instead.Ú
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recfromtxtz Use `np.genfromtxt` instead.Ú deprecatezTEmit `DeprecationWarning` with `warnings.warn` directly, or use `typing.deprecated`.Údeprecate_with_docÚdispz'Use your own printing function instead.Úfind_common_typez·Use `numpy.promote_types` or `numpy.result_type` instead. To achieve semantics for the `scalar_types` argument, use `numpy.result_type` and pass the Python values `0`, `0.0`, or `0j`.Úround_zUse `np.round` instead.Úget_array_wrapÚ Ú
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DataSourcez2It's still available as `np.lib.npyio.DataSource`.Únbytesz)Use `np.dtype(<dtype>).itemsize` instead.Ú byte_boundsz9Now it's available under `np.lib.array_utils.byte_bounds`z5It's still available as `np.char.compare_chararrays`.z/It's still available as `np.rec.format_parser`.zUse `np.all` instead.zUse `np.any` instead.)Úcompare_chararraysÚ format_parserÚalltrueÚsometrueN)Ú__doc__Ú__expired_attributes__© ó úKH:\Change_password\venv_build\Lib\site-packages\numpy/_expired_attrs_2_0.pyú<module>r? s0 ðñð
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