| """ |
| 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.", |
| "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.", |
| } |
|
|
