Showing 84 of 258 total issues
Function __sf
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def __sf(self, X):
"""Internal function to calculate for Smoothing Factors of data points
Repeated n_iter_ of times in randomized mode.
"""
dis_ = np.zeros(shape=(X.shape[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"
Further reading
Function _wrap_around_discrepancy
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def _wrap_around_discrepancy(data, check):
"""Wrap-around Quasi-Monte Carlo discrepancy method"""
n = data.shape[0]
d = data.shape[1]
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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 ecdf_terminate_equals_inplace
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def ecdf_terminate_equals_inplace(matrix: np.ndarray, probabilities: np.ndarray):
"""
This is a helper function for computing the ecdf of an array. It has been outsourced from the original
function in order to be able to use the njit compiler of numpy for increased speeds, as it unfortunately
needs a loop over all rows and columns of a matrix. It acts in place on the probabilities' matrix.
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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 _get_decision_scores
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def _get_decision_scores(self, X):
""" Helper function for getting outlier scores on test data X (note:
model must already be fit)
Parameters
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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"