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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 use_np_compat(func):
 """Wraps a function with an activated NumPy-compatibility scope. This ensures that the execution of the function is guaranteed with NumPy compatible semantics, such as zero-dim and zero size tensors. Example:: import mxnet as mx @mx.use_np_compat def scalar_one():
 return mx.nd.ones(()) print(scalar_one()) Parameters func : a user-provided callable function to be scoped by the NumPy compatibility state. Returns ------- Function A function for wrapping the user functions in the NumPy compatibility scope. """

    @wraps(func)
    def _with_np_compat(*args, **kwargs):
        with np_compat(active=True):
            return func(*args, **kwargs)

    return _with_np_compat