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S_SS_SS_SS_SS_SS_SS_SS_SS_SS_SS_S S!_0 S"S#_S$S%_S&S'_S(S#_S)S*_S+S*_S,S-_S.S/_S0S_S1S_S2S3_S4S_S5S6_S7S8_S9S:_S;S<_S=S>_E0 S?S@_SASB_SCSD_SESF_SGSH_SISJ_SKSL_SMSN_SOSP_SQSP_SRSS_STSU_SVSW_SXSY_SZS[_S\S]_S^S__ES`SaSbScSd.Erge)fzt
Dict of expired attributes that are discontinued since 2.0 release.
Each item is associated with a migration note.
Ú	geterrobjz,Use the np.errstate context manager instead.Ú	seterrobjÚcastz+Use `np.asarray(arr, dtype=dtype)` instead.Úsourcez Use `inspect.getsource` instead.Úlookforz&Search NumPy's documentation directly.Úwhoz3Use an IDE variable explorer or `locals()` instead.ÚfastCopyAndTransposezUse `arr.T.copy()` instead.Úset_numeric_opszšFor the general case, use `PyUFunc_ReplaceLoopBySignature`. For ndarray subclasses, define the ``__array_ufunc__`` method and override the relevant ufunc.ÚNINFzUse `-np.inf` instead.ÚPINFzUse `np.inf` instead.ÚNZEROzUse `-0.0` instead.ÚPZEROzUse `0.0` instead.Ú
add_newdocz,It's still available as `np.lib.add_newdoc`.Úadd_docstringz/It's still available as `np.lib.add_docstring`.Úadd_newdoc_ufuncz9It's an internal function and doesn't have a replacement.Ú	safe_evalzUse `ast.literal_eval` instead.Úfloat_zUse `np.float64` instead.Úcomplex_zUse `np.complex128` instead.Ú	longfloatzUse `np.longdouble` instead.ÚsinglecomplexzUse `np.complex64` instead.ÚcfloatÚlongcomplexzUse `np.clongdouble` instead.Ú
clongfloatÚstring_zUse `np.bytes_` instead.Úunicode_zUse `np.str_` instead.ÚInfÚInfinityÚNaNzUse `np.nan` instead.ÚinftyÚissctypez*Use `issubclass(rep, np.generic)` instead.Úmaximum_sctypez�Use 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
obj2sctypez!Use `np.dtype(obj).type` instead.Úsctype2charz!Use `np.dtype(obj).char` instead.Úsctypesz!Access dtypes explicitly instead.ÚissubsctypezUse `np.issubdtype` instead.Úset_string_functionzXUse `np.set_printoptions` instead with a formatter for custom printing of NumPy objects.Úasfarrayz-Use `np.asarray` with a proper dtype instead.Úissubclass_z!Use `issubclass` builtin instead.Útracemalloc_domainz!It's now available from `np.lib`.ÚmatzUse `np.asmatrix` instead.Ú
recfromcsvz1Use `np.genfromtxt` with comma delimiter instead.Ú
recfromtxtzUse `np.genfromtxt` instead.Ú	deprecatezTEmit `DeprecationWarning` with `warnings.warn` directly, or use `typing.deprecated`.Údeprecate_with_docÚdispz'Use your own printing function instead.Úfind_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`.Úround_zUse `np.round` instead.Úget_array_wrapÚ Ú
DataSourcez2It's still available as `np.lib.npyio.DataSource`.Únbytesz)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`.zUse `np.all` instead.zUse `np.any` instead.)Úcompare_chararraysÚformat_parserÚalltrueÚsometrueN)Ú__doc__Ú__expired_attributes__© ó    Ú\C:\Users\psant\Downloads\Noiseback\school\venv\Lib\site-packages\numpy/_expired_attrs_2_0.pyÚ<module>r?      s0  ðñð
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Ð"ðAIðB Ð'ðCIðD 
Ð"ðEIðF Ð$ðGIðH Ð<ðIIðJ ð	)ðMIðR Ð5ðSIðT Ð6ðUIðV Ð2òWIðX Ð1ðYIðZ ð	,ð]Ið` Ð?ðaIðb Ð6ðcIðd Ð=ðeIðf 
Ð'ðgIðh ÐEðiIðj Ð0ðkIðl ð &ðmIðp ð 0ðqIðt Ð5ðuIðv ð	NðyIð~ Ð'ðIð@ �bðAIðB ÐFðCIðD Ð9ðEIðF ÐNñGIðJ 	@ØFØ&Ø'òQIÑ r=   