Beispiel #1
0
def _flatten(value):
    t = type(value)
    if t in (list, tuple):
        return _concatenate(map(_flatten, value))
    elif t is dict:
        return _concatenate(_flatten(value[k]) for k in sorted(value))
    else:
        return np.ravel(value)
Beispiel #2
0
def array(A, *args, **kwargs):
    t = builtins.type(A)
    if t in (list, tuple):
        return array_from_args(args, kwargs, *map(array, A))
    else:
        return _array_from_scalar_or_array(args, kwargs, A)
Beispiel #3
0
def array(A, *args, **kwargs):
    t = builtins.type(A)
    if t in (list, tuple):
        return array_from_args(args, kwargs, *map(array, A))
    else:
        return _array_from_scalar_or_array(args, kwargs, A)
Beispiel #4
0
def array(A, *args, **kwargs):
    t = builtins.type(A)
    if t in (list, tuple):
        return array_from_args(args, kwargs, *map(lambda a: a if a.shape else a.item(), map(array, A)))
    else:
        return _array_from_scalar_or_array(args, kwargs, A)