distribution.py
Function probability_above
has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring. Open
Open
def probability_above(self,
cutoff: Tuple[int, int, int, int] = (None, None, None, None)) -> float:
hits = 0
for (value, frequency) in self._distribution.items():
for i, cut in enumerate(cutoff):
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"
Further reading
Function add
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
Open
def add(self, that: 'QuadDistribution') -> 'QuadDistribution':
elements = collections.defaultdict(int)
for value_i, frequency_i in self._distribution.items():
for value_j, frequency_j in that._distribution.items():
value = [0, 0, 0, 0]
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Cognitive Complexity
Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.
A method's cognitive complexity is based on a few simple rules:
- Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
- Code is considered more complex for each "break in the linear flow of the code"
- Code is considered more complex when "flow breaking structures are nested"