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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 indices_outside_times(times, start, end):
 """ Return an index array into times that like outside the durations defined by start end arrays Parameters times: numpy.ndarray Array of times start: numpy.ndarray Array of duration start times end: numpy.ndarray Array of duration end times Returns ------- indices: numpy.ndarray Array of indices into times """

    exclude = indices_within_times(times, start, end)
    indices = numpy.arange(0, len(times))
    return numpy.delete(indices, exclude)