Showing 5,006 of 11,538 total issues
File encoders.py
has 703 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File controller_test.py
has 702 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 The Orbit 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
File coco_evaluator.py
has 699 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File kernel_attention.py
has 695 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File universal_detector.py
has 687 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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 convert_examples_to_features
has a Cognitive Complexity of 78 (exceeds 5 allowed). Consider refactoring. Open
def convert_examples_to_features(examples,
tokenizer,
max_seq_length,
doc_stride,
max_query_length,
- Read upRead up
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
File spatial_transform_ops.py
has 678 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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 build
has a Cognitive Complexity of 76 (exceeds 5 allowed). Consider refactoring. Open
def build(preprocessor_step_config):
"""Builds preprocessing step based on the configuration.
Args:
preprocessor_step_config: PreprocessingStep configuration proto.
- Read upRead up
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 train
has a Cognitive Complexity of 76 (exceeds 5 allowed). Consider refactoring. Open
def train(
strategy: tf.distribute.Strategy,
model_fn: Callable,
input_meta_data: Dict,
train_input_fn: Callable,
- Read upRead up
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
File mobilenet_v3.py
has 665 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2019 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
File agent.py
has 661 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2018 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
File rewards_functions.py
has 656 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2018 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
File movinet.py
has 649 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File distributed_executor.py
has 639 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File dense_prediction_heads.py
has 634 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File ddpg_agent.py
has 633 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2018 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
File visualization_utils.py
has 630 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2017 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
File panoptic_deeplab.py
has 625 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2024 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
File batch_multiclass_nms_test.py
has 624 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2019 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
File per_image_evaluation.py
has 620 lines of code (exceeds 250 allowed). Consider refactoring. Open
# Copyright 2017 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