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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 _as_array_or_item(data):
 """Return the given values as a numpy array, or as an individual item if it's a 0d datetime64 or timedelta64 array. Importantly, this function does not copy data if it is already an ndarray - otherwise, it will not be possible to update Variable values in place. This function mostly exists because 0-dimensional ndarrays with dtype=datetime64 are broken :( https://github.com/numpy/numpy/issues/4337 https://github.com/numpy/numpy/issues/7619 TODO: remove this (replace with np.asarray) once these issues are fixed """

    data = np.asarray(data)
    if data.ndim == 0:
        if data.dtype.kind == 'M':
            data = np.datetime64(data, 'ns')
        elif data.dtype.kind == 'm':
            data = np.timedelta64(data, 'ns')
    return data