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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_nrange( minimum: Union[int, float], maximum: Union[int, float] ) -> float: """Calculate the number of entropy bits in a range of numbers."""

    # Shannon:
    # d = fabs(maximum - minimum)
    # ent = -(1/d) * log(1/d, 2) * d
    # Aprox form: log10(digits) * log2(10)
    if not isinstance(minimum, (int, float)):
        raise TypeError('minimum can only be int or float')
    if not isinstance(maximum, (int, float)):
        raise TypeError('maximum can only be int or float')
    if minimum < 0:
        raise ValueError('minimum should be greater than 0')
    if maximum < 0:
        raise ValueError('maximum should be greater than 0')

    dif = fabs(maximum - minimum)
    if dif == 0:
        return 0.0

    ent = log10(dif) * 3.321928
    return ent