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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 entropy_bits( lst: Union[ List[Union[int, str, float, complex]], Tuple[Union[int, str, float, complex]] ] ) -> float: """Calculate the number of entropy bits in a list or tuple of elements."""

    # Based on https://stackoverflow.com/a/45091961
    if not isinstance(lst, (list, tuple)):
        raise TypeError('lst must be a list or a tuple')

    for num in lst:
        if not isinstance(num, (int, str, float, complex)):
            raise TypeError('lst can only be comprised of int, str, float, '
                            'complex')

    n_lst = len(lst)

    if n_lst <= 1:
        return 0.0

    # Some NumPy replacements
    counts = [lst.count(x) for x in lst]
    probs = [c / n_lst for c in counts]

    # Compute entropy
    entropy = 0.0
    for prob in probs:
        entropy -= prob * log2(prob)

    return entropy