File metrics_impl.py has 3204 lines of code (exceeds 250 allowed). Consider refactoring.

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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#

Function _remove_squeezable_dimensions has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.

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def _remove_squeezable_dimensions(predictions, labels, weights):
  """Squeeze or expand last dim if needed.

  Squeezes last dim of `predictions` or `labels` if their rank differs by 1
  (using confusion_matrix.remove_squeezable_dimensions).

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Function auc has 10 arguments (exceeds 4 allowed). Consider refactoring.

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def auc(labels,

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

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def _maybe_expand_labels(labels, predictions):
  """If necessary, expand `labels` along last dimension to match `predictions`.

  Args:
    labels: `Tensor` or `SparseTensor` with shape

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

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    def compute_auc(tp, fn, tn, fp, name):
      """Computes the roc-auc or pr-auc based on confusion counts."""
      if curve == 'PR':
        if summation_method == 'trapezoidal':
          logging.warning(

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Function recall_at_top_k has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def recall_at_top_k(labels,

Function recall_at_k has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def recall_at_k(labels,

Function sparse_precision_at_k has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def sparse_precision_at_k(labels,

Function precision_at_k has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def precision_at_k(labels,

Function specificity_at_sensitivity has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def specificity_at_sensitivity(labels,

Function precision_at_top_k has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def precision_at_top_k(labels,

Function sensitivity_at_specificity has 8 arguments (exceeds 4 allowed). Consider refactoring.

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def sensitivity_at_specificity(labels,

Function mean_iou has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_iou(labels,

Function precision_at_thresholds has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def precision_at_thresholds(labels,

Function mean_per_class_accuracy has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_per_class_accuracy(labels,

Function false_negatives_at_thresholds has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def false_negatives_at_thresholds(labels,

Function mean_relative_error has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_relative_error(labels,

Function true_positives_at_thresholds has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def true_positives_at_thresholds(labels,

Function recall_at_thresholds has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def recall_at_thresholds(labels,

Function true_negatives_at_thresholds has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def true_negatives_at_thresholds(labels,

Function mean_cosine_distance has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_cosine_distance(labels,

Function sparse_average_precision_at_k has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def sparse_average_precision_at_k(labels,

Function false_positives_at_thresholds has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def false_positives_at_thresholds(labels,

Function average_precision_at_k has 7 arguments (exceeds 4 allowed). Consider refactoring.

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def average_precision_at_k(labels,

Function _streaming_sparse_true_positive_at_k has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def _streaming_sparse_true_positive_at_k(labels,

Function percentage_below has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def percentage_below(values,

Function true_negatives has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def true_negatives(labels,

Function precision has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def precision(labels,

Function mean_squared_error has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_squared_error(labels,

Function accuracy has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def accuracy(labels,

Function false_negatives has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def false_negatives(labels,

Function true_positives has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def true_positives(labels,

Function _streaming_sparse_average_precision_at_top_k has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def _streaming_sparse_average_precision_at_top_k(labels,

Function false_positives has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def false_positives(labels,

Function recall has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def recall(labels,

Function _streaming_sparse_false_negative_at_k has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def _streaming_sparse_false_negative_at_k(labels,

Function root_mean_squared_error has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def root_mean_squared_error(labels,

Function mean_absolute_error has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_absolute_error(labels,

Function _streaming_sparse_false_positive_at_k has 6 arguments (exceeds 4 allowed). Consider refactoring.

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def _streaming_sparse_false_positive_at_k(labels,

Function _confusion_matrix_at_thresholds has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def _confusion_matrix_at_thresholds(labels,

Function mean has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def mean(values,

Function compute_auc has 5 arguments (exceeds 4 allowed). Consider refactoring.

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    def compute_auc(tp, fn, tn, fp, name):

Function _sparse_true_positive_at_k has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def _sparse_true_positive_at_k(labels,

Function mean_tensor has 5 arguments (exceeds 4 allowed). Consider refactoring.

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def mean_tensor(values,

Function compute_specificity_at_sensitivity has 5 arguments (exceeds 4 allowed). Consider refactoring.

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    def compute_specificity_at_sensitivity(tp, tn, fp, fn, name):

Function compute_sensitivity_at_specificity has 5 arguments (exceeds 4 allowed). Consider refactoring.

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    def compute_sensitivity_at_specificity(tp, tn, fp, fn, name):

Function fn has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.

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  def fn(distribution, *a):
    """Call `metric_value_fn` in the correct control flow context."""
    if hasattr(distribution.extended, '_outer_control_flow_context'):
      # If there was an outer context captured before this method was called,
      # then we enter that context to create the metric value op. If the

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