Пример #1
0
    def __new__(cls, *args, **kwargs):

        shape, flat_list = cls._handle_ndarray_creation_inputs(*args, **kwargs)
        shape = Tuple(*map(_sympify, shape))
        loop_size = functools.reduce(lambda x, y: x * y, shape) if shape else 0

        # Sparse array:
        if isinstance(flat_list, (dict, Dict)):
            sparse_array = Dict(flat_list)
        else:
            sparse_array = {}
            for i, el in enumerate(flatten(flat_list)):
                if el != 0:
                    sparse_array[i] = _sympify(el)

        sparse_array = Dict(sparse_array)

        self = Expr.__new__(cls, sparse_array, shape, **kwargs)
        self._shape = shape
        self._rank = len(shape)
        self._loop_size = loop_size
        self._sparse_array = sparse_array

        return self
Пример #2
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 def __new__(cls, x):
     return Expr.__new__(cls, x)
Пример #3
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 def __new__(cls, x):
     return Expr.__new__(cls, x)