nideep/datasets/dataset_utils.py
Function get_labels_lut
has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring. Open
Open
def get_labels_lut(labels_list, labels_subset):
"""
Generate a look-up-table for mapping labels from a list to a subset
Unmapped labels are mapped to class id zero.
Can be used for selecting a subset of classes and grouping everything else.
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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_train_val_split_from_names
has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring. Open
Open
def get_train_val_split_from_names(src, val_list):
"""
Get indices split for train and validation entity names subset
src -- list of all entities in dataset
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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"