o \i@sdZddlmZddlmZddlmZddlmZm Z ddl m Z ddl m Z dd lmZd d gZd ed edefddZddddddeeBdeeBdededed edBdefdd Z d#ddddedeeeefBeeeefBd edd!ed edBdef d"d ZdS)$z@Delegation to existing implementations for Public API Functions.)Sequence) ModuleType)Literal)Backend_funcs)array_namespace)asarrays)Arrayisclosepadxpbackendsreturncstfdd|DS)av Check whether `xp` is one of the `backends` to delegate to. Parameters ---------- xp : array_namespace Array namespace to check. *backends : IsNamespace Arbitrarily many backends (from the ``IsNamespace`` enum) to check. Returns ------- bool ``True`` if `xp` matches one of the `backends`, ``False`` otherwise. c3s|]}|VqdS)N) is_namespace).0backendr /var/www/www-root/data/www/176.119.141.140/sports-predictor/venv/lib/python3.10/site-packages/sklearn/externals/array_api_extra/_delegation.py sz_delegate..)any)r rrrr _delegatesrgh㈵>g:0yE>FNrtolatol equal_nanr abrrrcCs|dur t||n|}t|tjtjtjtjr!|j|||||dSt|tjr:t |||d\}}|j|||||dSt j||||||dS)a Return a boolean array where two arrays are element-wise equal within a tolerance. The tolerance values are positive, typically very small numbers. The relative difference ``(rtol * abs(b))`` and the absolute difference `atol` are added together to compare against the absolute difference between `a` and `b`. NaNs are treated as equal if they are in the same place and if ``equal_nan=True``. Infs are treated as equal if they are in the same place and of the same sign in both arrays. Parameters ---------- a, b : Array | int | float | complex | bool Input objects to compare. At least one must be an array. rtol : array_like, optional The relative tolerance parameter (see Notes). atol : array_like, optional The absolute tolerance parameter (see Notes). equal_nan : bool, optional Whether to compare NaN's as equal. If True, NaN's in `a` will be considered equal to NaN's in `b` in the output array. xp : array_namespace, optional The standard-compatible namespace for `a` and `b`. Default: infer. Returns ------- Array A boolean array of shape broadcasted from `a` and `b`, containing ``True`` where `a` is close to `b`, and ``False`` otherwise. Warnings -------- The default `atol` is not appropriate for comparing numbers with magnitudes much smaller than one (see notes). See Also -------- math.isclose : Similar function in stdlib for Python scalars. Notes ----- For finite values, `isclose` uses the following equation to test whether two floating point values are equivalent:: absolute(a - b) <= (atol + rtol * absolute(b)) Unlike the built-in `math.isclose`, the above equation is not symmetric in `a` and `b`, so that ``isclose(a, b)`` might be different from ``isclose(b, a)`` in some rare cases. The default value of `atol` is not appropriate when the reference value `b` has magnitude smaller than one. For example, it is unlikely that ``a = 1e-9`` and ``b = 2e-9`` should be considered "close", yet ``isclose(1e-9, 2e-9)`` is ``True`` with default settings. Be sure to select `atol` for the use case at hand, especially for defining the threshold below which a non-zero value in `a` will be considered "close" to a very small or zero value in `b`. The comparison of `a` and `b` uses standard broadcasting, which means that `a` and `b` need not have the same shape in order for ``isclose(a, b)`` to evaluate to ``True``. `isclose` is not defined for non-numeric data types. ``bool`` is considered a numeric data-type for this purpose. N)rrrrr) rrrNUMPYCUPYDASKJAXr TORCHr r)rrrrrr rrrr "sK constantconstant_valuesr x pad_widthmoder&cCs|durt|n|}|dkrd}t|t|tjr=||}|||jdf}|j|dd }|j j j |t ||dSt|tjtjtjtjrR|j ||||dStj ||||d S) a Pad the input array. Parameters ---------- x : array Input array. pad_width : int or tuple of ints or sequence of pairs of ints Pad the input array with this many elements from each side. If a sequence of tuples, ``[(before_0, after_0), ... (before_N, after_N)]``, each pair applies to the corresponding axis of ``x``. A single tuple, ``(before, after)``, is equivalent to a list of ``x.ndim`` copies of this tuple. mode : str, optional Only "constant" mode is currently supported, which pads with the value passed to `constant_values`. constant_values : python scalar, optional Use this value to pad the input. Default is zero. xp : array_namespace, optional The standard-compatible namespace for `x`. Default: infer. Returns ------- array The input array, padded with ``pad_width`` elements equal to ``constant_values``. Nr$z-Only `'constant'` mode is currently supported)r)axis)value)r&r%)rNotImplementedErrorrrr#asarray broadcast_tondimflipflattennn functionalr tuplerr"r SPARSEr)r'r(r)r&r msgrrrr ys#  )r$)__doc__collections.abcrtypesrtypingr_librr_lib._utils._compatr_lib._utils._helpersr _lib._utils._typingr __all__boolrcomplexfloatr intr5r rrrrs\       Z