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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 full_index_size(*args):
 """Compute the number of records in a full index. Compute the number of records in a full index without building the index itself. The result is the maximum number of record pairs possible. This function is especially useful in measures like the `reduction_ratio`. Deduplication: Given a DataFrame A with length N, the full index size is N*(N-1)/2. Linking: Given a DataFrame A with length N and a DataFrame B with length M, the full index size is N*M. Parameters *args: int, pandas.MultiIndex, pandas.Series, pandas.DataFrame A pandas object or a int representing the length of a dataset to link. When there is one argument, it is assumed that the record linkage is a deduplication process. Examples -------- Use integers: or pandas objects """


    # check if a list or tuple is passed as argument
    if len(args) == 1 and isinstance(args[0], (list, tuple)):
        args = tuple(args[0])

    if len(args) == 1:
        n = get_length(args[0])
        size = int(n * (n - 1) / 2)
    else:
        size = numpy.prod([get_length(arg) for arg in args])

    return size