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RbRRbRRbRRbRRbRRbRRbRRbRRbRRbRRbR R!b/ R"R#bR$R%bR&R'bR(R#bR)R*bR+R*bR,R-bR.R/bR0RbR1RbR2R3bR4RbR5R6bR7R8bR9R:bR;R<bR=R>bC/ R?R@bRARBbRCRDbRERFbRGRHbRIRJbRKRLbRMRNbRORPbRQRPbRRRSbRTRUbRVRWbRXRYbRZR[bR\R]bR^R_bCR`RaRbRcRdReRfRg/CtRh# )izt
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`Úcompare_chararraysz5It's still available as `np.char.compare_chararrays`.Úformat_parserz/It's still available as `np.rec.format_parser`.ÚalltruezUse `np.all` instead.ÚsometruezUse `np.any` instead.N)Ú__doc__Ú__expired_attributes__© ó    Ú:/usr/lib/python3/dist-packages/numpy/_expired_attrs_2_0.pyÚ<module>r?      s;  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ðH Ø?ØÐFØÐ&ØÐ'ñQIÒ r=   