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""" Dict of expired attributes that are discontinued since 2.0 release. Each item is associated with a migration note. """ __expired_attributes__ = { "geterrobj": "Use the np.errstate context manager instead.", "seterrobj": "Use the np.errstate context manager instead.", "cast": "Use `np.asarray(arr, dtype=dtype)` instead.", "source": "Use `inspect.getsource` instead.", "lookfor": "Search NumPy's documentation directly.", "who": "Use an IDE variable explorer or `locals()` instead.", "fastCopyAndTranspose": "Use `arr.T.copy()` instead.", "set_numeric_ops": "For the general case, use `PyUFunc_ReplaceLoopBySignature`. " "For ndarray subclasses, define the ``__array_ufunc__`` method " "and override the relevant ufunc.", "NINF": "Use `-np.inf` instead.", "PINF": "Use `np.inf` instead.", "NZERO": "Use `-0.0` instead.", "PZERO": "Use `0.0` instead.", "add_newdoc": "It's still available as `np.lib.add_newdoc`.", "add_docstring": "It's still available as `np.lib.add_docstring`.", "add_newdoc_ufunc": "It's an internal function and doesn't have a replacement.", "compat": "There's no replacement, as Python 2 is no longer supported.", "safe_eval": "Use `ast.literal_eval` instead.", "float_": "Use `np.float64` instead.", "complex_": "Use `np.complex128` instead.", "longfloat": "Use `np.longdouble` instead.", "singlecomplex": "Use `np.complex64` instead.", "cfloat": "Use `np.complex128` instead.", "longcomplex": "Use `np.clongdouble` instead.", "clongfloat": "Use `np.clongdouble` instead.", "string_": "Use `np.bytes_` instead.", "unicode_": "Use `np.str_` instead.", "Inf": "Use `np.inf` instead.", "Infinity": "Use `np.inf` instead.", "NaN": "Use `np.nan` instead.", "infty": "Use `np.inf` instead.", "issctype": "Use `issubclass(rep, np.generic)` instead.", "maximum_sctype": "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.", "obj2sctype": "Use `np.dtype(obj).type` instead.", "sctype2char": "Use `np.dtype(obj).char` instead.", "sctypes": "Access dtypes explicitly instead.", "issubsctype": "Use `np.issubdtype` instead.", "set_string_function": "Use `np.set_printoptions` instead with a formatter for " "custom printing of NumPy objects.", "asfarray": "Use `np.asarray` with a proper dtype instead.", "issubclass_": "Use `issubclass` builtin instead.", "tracemalloc_domain": "It's now available from `np.lib`.", "mat": "Use `np.asmatrix` instead.", "recfromcsv": "Use `np.genfromtxt` with comma delimiter instead.", "recfromtxt": "Use `np.genfromtxt` instead.", "deprecate": "Emit `DeprecationWarning` with `warnings.warn` directly, " "or use `typing.deprecated`.", "deprecate_with_doc": "Emit `DeprecationWarning` with `warnings.warn` " "directly, or use `typing.deprecated`.", "disp": "Use your own printing function instead.", "find_common_type": "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`.", "round_": "Use `np.round` instead.", "get_array_wrap": "", "DataSource": "It's still available as `np.lib.npyio.DataSource`.", "nbytes": "Use `np.dtype(<dtype>).itemsize` instead.", "byte_bounds": "Now it's available under `np.lib.array_utils.byte_bounds`", "compare_chararrays": "It's still available as `np.char.compare_chararrays`.", "format_parser": "It's still available as `np.rec.format_parser`.", "alltrue": "Use `np.all` instead.", "sometrue": "Use `np.any` instead.", }