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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>i d?d@dAdBdCdDdEdFdGdHdIdJdKdLdMdNdOdPdQdRdSdRdTdUdVdWdXdYdZd[d\d]d^d_d`dadbdcdddeZdfS )gzt
Dict of expired attributes that are discontinued since 2.0 release.
Each item is associated with a migration note.
	geterrobjz,Use the np.errstate context manager instead.	seterrobjcastz+Use `np.asarray(arr, dtype=dtype)` instead.sourcez Use `inspect.getsource` instead.lookforz&Search NumPy's documentation directly.whoz3Use an IDE variable explorer or `locals()` instead.fastCopyAndTransposezUse `arr.T.copy()` instead.set_numeric_opszFor the general case, use `PyUFunc_ReplaceLoopBySignature`. For ndarray subclasses, define the ``__array_ufunc__`` method and override the relevant ufunc.NINFzUse `-np.inf` instead.PINFzUse `np.inf` instead.NZEROzUse `-0.0` instead.PZEROzUse `0.0` instead.
add_newdocz,It's still available as `np.lib.add_newdoc`.add_docstringz/It's still available as `np.lib.add_docstring`.add_newdoc_ufuncz9It's an internal function and doesn't have a replacement.compatz;There's no replacement, as Python 2 is no longer supported.	safe_evalzUse `ast.literal_eval` instead.float_zUse `np.float64` instead.complex_zUse `np.complex128` instead.	longfloatzUse `np.longdouble` instead.singlecomplexzUse `np.complex64` instead.cfloatlongcomplexzUse `np.clongdouble` instead.
clongfloatstring_zUse `np.bytes_` instead.unicode_zUse `np.str_` instead.InfInfinityNaNzUse `np.nan` instead.inftyissctypez*Use `issubclass(rep, np.generic)` instead.maximum_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.
obj2sctypez!Use `np.dtype(obj).type` instead.sctype2charz!Use `np.dtype(obj).char` instead.sctypesz!Access dtypes explicitly instead.issubsctypezUse `np.issubdtype` instead.set_string_functionzXUse `np.set_printoptions` instead with a formatter for custom printing of NumPy objects.asfarrayz-Use `np.asarray` with a proper dtype instead.issubclass_z!Use `issubclass` builtin instead.tracemalloc_domainz!It's now available from `np.lib`.matzUse `np.asmatrix` instead.
recfromcsvz1Use `np.genfromtxt` with comma delimiter instead.
recfromtxtzUse `np.genfromtxt` instead.	deprecatezTEmit `DeprecationWarning` with `warnings.warn` directly, or use `typing.deprecated`.deprecate_with_docdispz'Use your own printing function instead.find_common_typezUse `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`.round_zUse `np.round` instead.get_array_wrap 
DataSourcez2It's still available as `np.lib.npyio.DataSource`.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.)byte_boundscompare_chararraysformat_parseralltruesometrueN)__doc____expired_attributes__     X/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/numpy/_expired_attrs_2_0.py<module>r@      sb   
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"CJD 'EJF 
"GJH $IJJ <KJL 	)OJT 5UJV 6WJ J JX 2YJZ 1[J\ 	,_Jb ?cJd 6eJf =gJh 
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