o
    ŃÜg?  ă                   @   sV  d Z i dd“dd“dd“dd“dd	“d
d“dd“dd“dd“dd“dd“dd“dd“dd“dd“dd“d d!“i d"d#“d$d%“d&d'“d(d)“d*d%“d+d,“d-d,“d.d/“d0d1“d2d“d3d“d4d5“d6d“d7d8“d9d:“d;d<“d=d>“Ąi d?d@“dAdB“dCdD“dEdF“dGdH“dIdJ“dKdL“dMdN“dOdP“dQdR“dSdR“dTdU“dVdW“dXdY“dZd[“d\d]“d^d_“Ąd`dadbdcdddeśĄZdfS )gzt
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	seterrobjÚcastz+Use `np.asarray(arr, dtype=dtype)` instead.Úsourcez Use `inspect.getsource` instead.Úlookforz&Search NumPy's documentation directly.Úwhoz3Use 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.ÚNINFzUse `-np.inf` instead.ÚPINFz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compatz;There's no replacement, as Python 2 is no longer supported.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.ÚInfÚInfinityÚNaNzUse `np.nan` instead.ÚinftyÚissctypez*Use `issubclass(rep, np.generic)` instead.Úmaximum_sctypezŹUse 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`.Úmatz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_docÚdispz'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.z9Now 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byte_boundsÚcompare_chararraysÚformat_parserÚalltrueÚsometrueN)Ú__doc__Ú__expired_attributes__© r<   r<   úR/var/www/html/api-tag/env/lib/python3.10/site-packages/numpy/_expired_attrs_2_0.pyÚ<module>   sę    ˙ţýüűúů÷ôóňńďíëęéčçćĺäăâá ŕ!ß"Ţ#Ý$Ü%Ű&Ů*Ö+Ő,Ô-Ó.Ń1Ď2Î3Í4Ě5Ë6Ę7É9Ç;Ĺ<Ă@ŔAżBľC˝D·