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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 _safe_squeeze(arr, *args, **kwargs):
 """ numpy.squeeze will reduce a 1-item array down to a zero-dimensional "array", which is not necessarily desirable. This function does the squeeze operation, but ensures that there is at least 1 dimension in the output. """

    out = np.squeeze(arr, *args, **kwargs)
    if np.ndim(out) == 0:
        out = out.reshape((1,))
    return out