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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 min(a, axis=None):
 """ Request the minimum of an Array over any number of axes. .. note:: Currently limited to operating on a single axis. Parameters a : Array object The object whose minimum is to be found. axis : None, or int, or iterable of ints Axis or axes along which the operation is performed. The default (axis=None) is to perform the operation over all the dimensions of the input array. The axis may be negative, in which case it counts from the last to the first axis. If axis is a tuple of ints, the operation is performed over multiple axes. Returns ------- out : Array The Array representing the requested mean. """

    axes = _normalise_axis(axis, a)
    assert axes is not None and len(axes) == 1
    return _Aggregation(a, axes[0],
                        _MinStreamsHandler, _MinMaskedStreamsHandler,
                        a.dtype, {})