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tensorflow/models

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official/recommendation/data_preprocessing.py

Summary

Maintainability
A
1 hr
Test Coverage

Function _filter_index_sort has a Cognitive Complexity of 10 (exceeds 5 allowed). Consider refactoring.
Open

def _filter_index_sort(raw_rating_path: Text,
                       cache_path: Text) -> Tuple[pd.DataFrame, bool]:
  """Read in data CSV, and output structured data.

  This function reads in the raw CSV of positive items, and performs three
Severity: Minor
Found in official/recommendation/data_preprocessing.py - About 1 hr to fix

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 instantiate_pipeline has 7 arguments (exceeds 4 allowed). Consider refactoring.
Open

def instantiate_pipeline(dataset,
Severity: Major
Found in official/recommendation/data_preprocessing.py - About 50 mins to fix

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