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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 _any_source_silent(sources):
 """Returns true if the parameter sources has any silent first dimensions"""

    return np.any(np.all(np.sum(
        sources, axis=tuple(range(2, sources.ndim))) == 0, axis=1))