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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def zeros(shape, ctx=None, dtype=None, **kwargs):
 """Returns a new array filled with all zeros, with the given shape and type. Parameters shape : int or tuple of int The shape of the empty array. ctx : Context, optional An optional device context (default is the current default context). dtype : str or numpy.dtype, optional An optional value type (default is `float32`). out : NDArray, optional The output NDArray (default is `None`). Returns ------- NDArray A created array Examples -------- array([ 0.], dtype=float32) <NDArray 1x2 @gpu(0)> array([[ 0., 0.]], dtype=float16) """

    # pylint: disable= unused-argument
    if ctx is None:
        ctx = current_context()
    dtype = mx_real_t if dtype is None else dtype
    # pylint: disable= no-member, protected-access
    return _internal._zeros(shape=shape, ctx=ctx, dtype=dtype, **kwargs)