Tests/scripts/hook_validations/secrets.py
def calculate_shannon_entropy(data):
    """Algorithm to determine the randomness of a given data.
    Higher is more random/complex, most English words will yield in average result of 3
    :param data: could be either a list/dict or a string.
    :return: entropy: entropy score.
    """
    if not data:
        return 0
    entropy = 0
    # each unicode code representation of all characters which are considered printable
    for char in (ord(c) for c in string.printable):
        # probability of event X
        p_x = float(data.count(chr(char))) / len(data)
        if p_x > 0:
            # the information in every possible news, in bits
            entropy += - p_x * math.log(p_x, 2)
    return entropy
Algorithm to determine the randomness of a given data.
    Higher is more random/complex, most English words will yield in average result of 3
    :param data: could be either a list/dict or a string.
    :return: entropy: entropy score.
    
Algorithm to determine the randomness of a given data.
Higher is more random/complex, most English words will yield in average result of 3
Algorithm to determine the randomness of a given data . Higher is more random / complex most English words will yield in average result of 3
def calculate_shannon_entropy(data):
    if not data:
        return 0
    entropy = 0
    for char in (ord(c) for c in string.printable):
        p_x = float(data.count(chr(char))) / len(data)
        if p_x > 0:
            entropy += - p_x * math.log(p_x, 2)
    return entropy
def calculate_shannon_entropy ( data ) : if not data : return 0 entropy = 0 for char in ( ord ( c ) for c in string . printable ) : p_x = float ( data . count ( chr ( char ) ) ) / len ( data ) if p_x > 0 : entropy += - p_x * math . log ( p_x , 2 ) return entropy
Algorithm to determine the randomness of a given data.
Algorithm to determine the randomness of a given data .
"""Algorithm to determine the randomness of a given data.
    Higher is more random/complex, most English words will yield in average result of 3
    :param data: could be either a list/dict or a string.
    :return: entropy: entropy score.
    """ # each unicode code representation of all characters which are considered printable # probability of event X # the information in every possible news, in bits
None
data
could be either a list/dict or a string.
could be either a list / dict or a string .