neurokit/eeg/eeg_complexity.py
Function eeg_complexity
has a Cognitive Complexity of 40 (exceeds 5 allowed). Consider refactoring. Open
Open
def eeg_complexity(eeg, sampling_rate, times=None, index=None, include="all", exclude=None, hemisphere="both", central=True, verbose=True, shannon=True, sampen=True, multiscale=True, spectral=True, svd=True, correlation=True, higushi=True, petrosian=True, fisher=True, hurst=True, dfa=True, lyap_r=False, lyap_e=False, names="Complexity"):
"""
Compute complexity indices of epochs or raw object.
DOCS INCOMPLETE :(
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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 eeg_complexity
has 23 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def eeg_complexity(eeg, sampling_rate, times=None, index=None, include="all", exclude=None, hemisphere="both", central=True, verbose=True, shannon=True, sampen=True, multiscale=True, spectral=True, svd=True, correlation=True, higushi=True, petrosian=True, fisher=True, hurst=True, dfa=True, lyap_r=False, lyap_e=False, names="Complexity"):
Avoid deeply nested control flow statements. Open
Open
if key in complexity_features[epoch_index].keys():
complexity_features[epoch_index][key].append(feature)
else:
complexity_features[epoch_index][key] = [feature]