ufunc in A Sentence

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    The reduce method of the maximum Ufunc is much faster.

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    2

    In NumPy, universal functions are instances of the numpy. Ufunc class.

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    3

    The Ufunc machinery uses this list to determine which inner loop to use for a particular case.

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    4

    The dtype keyword allows you to manage a very common problem that arises when naively using Ufunc. reduce.

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    5

    The output of the Ufunc(and its methods) is not necessarily an ndarray, if all input arguments are not ndarrays.

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    6

    Indeed, if any input defines an __array_Ufunc__ method, control will be passed completely to that function, i.e., the Ufunc is overridden.

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    7

    In other words, the stepping machinery of the Ufunc will simply not step along that dimension(the stride will be 0 for that dimension).

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    8

    The‘out' keyword argument is expected to be a tuple with one entry per output(which can be None for arrays to be allocated by the Ufunc).

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    9

    Then, if the class also has an __array_prepare__ method, it is called so metadata may be determined based on the context of the Ufunc(the context consisting of the Ufunc itself, the arguments passed to the Ufunc, and the Ufunc domain.).

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    10

    If none of the inputs overrides the Ufunc, then all output arrays will be passed to the __array_prepare__ and __array_wrap__ methods of the input(besides ndarrays, and scalars) that defines it and has the highest __array_priority__ of any other input to the universal function.

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