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Complete this python program:
def _getAdditionalSpecs(spatialImp, kwargs={}):
assistant
#Here is the Python program you requested.

    """Build the additional specs in three groups (for the inspector)
    Use the type of the default argument to set the Spec type, defaulting
    to \Byte\ for None and complex types
    Determines the spatial parameters based on the selected implementation.
    It defaults to SpatialPooler.
    """
    typeNames = {int: 'UInt32', float: 'Real32', str: 'Byte', bool: 'bool', tuple: 'tuple'}
    def getArgType(arg):
        t = typeNames.get(type(arg), 'Byte')
        count = (0 if (t == 'Byte') else 1)
        if (t == 'tuple'):
            t = typeNames.get(type(arg[0]), 'Byte')
            count = len(arg)
        if (t == 'bool'):
            t = 'UInt32'
        return (t, count)
    def getConstraints(arg):
        t = typeNames.get(type(arg), 'Byte')
        if (t == 'Byte'):
            return 'multiple'
        elif (t == 'bool'):
            return 'bool'
        else:
            return ''
    SpatialClass = getSPClass(spatialImp)
    sArgTuples = _buildArgs(SpatialClass.__init__)
    spatialSpec = {}
    for argTuple in sArgTuples:
        d = dict(description=argTuple[1], accessMode='ReadWrite', dataType=getArgType(argTuple[2])[0], count=getArgType(argTuple[2])[1], constraints=getConstraints(argTuple[2]))
        spatialSpec[argTuple[0]] = d
    spatialSpec.update(dict(columnCount=dict(description='Total    number    of    columns    (coincidences).', accessMode='Read', dataType='UInt32', count=1, constraints=''), inputWidth=dict(description='Size    of    inputs    to    the    SP.', accessMode='Read', dataType='UInt32', count=1, constraints=''), spInputNonZeros=dict(description='The    indices    of    the    non-zero    inputs    to    the    spatial    pooler', accessMode='Read', dataType='UInt32', count=0, constraints=''), spOutputNonZeros=dict(description='The    indices    of    the    non-zero    outputs    from    the    spatial    pooler', accessMode='Read', dataType='UInt32', count=0, constraints=''), spOverlapDistribution=dict(description='The    overlaps    between    the    active    output    coincidences\n                        and    the    input.    The    overlap    amounts    for    each    coincidence    are    sorted\n                        from    highest    to    lowest.    ', accessMode='Read', dataType='Real32', count=0, constraints=''),...