3 5^A@svdZddlmZmZmZddlZddlmZdgZ ddZ dd Z d d Z d d Z ddZddZGdddeZdS)zEMixin classes for custom array types that don't inherit from ndarray.)divisionabsolute_importprint_functionN)umathNDArrayOperatorsMixinc Cs$y |jdkStk rdSXdS)z)True when __array_ufunc__ is set to None.NF)Z__array_ufunc__AttributeError)objr [/home/brian/BIRCH/lib-linux-x86_64/python/lib64/python3.6/site-packages/numpy/lib/mixins.py_disables_array_ufunc s r csfdd}dj||_|S)z>Implement a forward binary method with a ufunc, e.g., __add__.cst|r tS||S)N)r NotImplemented)selfother)ufuncr r funcsz_binary_method..funcz__{}__)format__name__)rnamerr )rr _binary_methods  rcsfdd}dj||_|S)zAImplement a reflected binary method with a ufunc, e.g., __radd__.cst|r tS||S)N)r r )r r)rr r r sz&_reflected_binary_method..funcz__r{}__)rr)rrrr )rr _reflected_binary_methods  rcsfdd}dj||_|S)zAImplement an in-place binary method with a ufunc, e.g., __iadd__.cs|||fdS)N)outr )r r)rr r r*sz$_inplace_binary_method..funcz__i{}__)rr)rrrr )rr _inplace_binary_method(s  rcCst||t||t||fS)zEImplement forward, reflected and inplace binary methods with a ufunc.)rrr)rrr r r _numeric_methods0srcsfdd}dj||_|S)z.Implement a unary special method with a ufunc.cs|S)Nr )r )rr r r9sz_unary_method..funcz__{}__)rr)rrrr )rr _unary_method7s  rc@seZdZdZeejdZeejdZ eej dZ eej dZ eejdZeejdZeejd\ZZZeejd \ZZZeejd \ZZZeejd \Z Z!Z"e#j$j%d kreej&d \Z'Z(Z)eej*d\Z+Z,Z-eej.d\Z/Z0Z1eej2d\Z3Z4Z5eej6dZ7e8ej6dZ9eej:d\Z;Zd\Z?Z@ZAeejBd\ZCZDZEeejFd\ZGZHZIeejJd\ZKZLZMeejNd\ZOZPZQeRejSdZTeRejUdZVeRejWdZXeRejYdZZdS)ra Mixin defining all operator special methods using __array_ufunc__. This class implements the special methods for almost all of Python's builtin operators defined in the `operator` module, including comparisons (``==``, ``>``, etc.) and arithmetic (``+``, ``*``, ``-``, etc.), by deferring to the ``__array_ufunc__`` method, which subclasses must implement. It is useful for writing classes that do not inherit from `numpy.ndarray`, but that should support arithmetic and numpy universal functions like arrays as described in `A Mechanism for Overriding Ufuncs <../../neps/nep-0013-ufunc-overrides.html>`_. As an trivial example, consider this implementation of an ``ArrayLike`` class that simply wraps a NumPy array and ensures that the result of any arithmetic operation is also an ``ArrayLike`` object:: class ArrayLike(np.lib.mixins.NDArrayOperatorsMixin): def __init__(self, value): self.value = np.asarray(value) # One might also consider adding the built-in list type to this # list, to support operations like np.add(array_like, list) _HANDLED_TYPES = (np.ndarray, numbers.Number) def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): out = kwargs.get('out', ()) for x in inputs + out: # Only support operations with instances of _HANDLED_TYPES. # Use ArrayLike instead of type(self) for isinstance to # allow subclasses that don't override __array_ufunc__ to # handle ArrayLike objects. if not isinstance(x, self._HANDLED_TYPES + (ArrayLike,)): return NotImplemented # Defer to the implementation of the ufunc on unwrapped values. inputs = tuple(x.value if isinstance(x, ArrayLike) else x for x in inputs) if out: kwargs['out'] = tuple( x.value if isinstance(x, ArrayLike) else x for x in out) result = getattr(ufunc, method)(*inputs, **kwargs) if type(result) is tuple: # multiple return values return tuple(type(self)(x) for x in result) elif method == 'at': # no return value return None else: # one return value return type(self)(result) def __repr__(self): return '%s(%r)' % (type(self).__name__, self.value) In interactions between ``ArrayLike`` objects and numbers or numpy arrays, the result is always another ``ArrayLike``: >>> x = ArrayLike([1, 2, 3]) >>> x - 1 ArrayLike(array([0, 1, 2])) >>> 1 - x ArrayLike(array([ 0, -1, -2])) >>> np.arange(3) - x ArrayLike(array([-1, -1, -1])) >>> x - np.arange(3) ArrayLike(array([1, 1, 1])) Note that unlike ``numpy.ndarray``, ``ArrayLike`` does not allow operations with arbitrary, unrecognized types. 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