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tensorflow/lite/python/op_hint.py

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Maintainability
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1 wk
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File op_hint.py has 1039 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
Severity: Major
Found in tensorflow/lite/python/op_hint.py - About 2 days to fix

    Function _remove_one_redundant_stack_unstack has a Cognitive Complexity of 52 (exceeds 5 allowed). Consider refactoring.
    Open

    def _remove_one_redundant_stack_unstack(in_graph_def):
  """Removes a stack->unstack pattern from in_graph_def in a returned graph.

  Args:
    in_graph_def: Graph def to use as input.
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.py - About 1 day 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 _convert_op_hints_to_stubs_helper has a Cognitive Complexity of 36 (exceeds 5 allowed). Consider refactoring.
    Open

    def _convert_op_hints_to_stubs_helper(
    graph_def, write_callback=lambda sess, graph_def: None):
  """Converts a graph_def to a new graph_def where all op hints are stubbed.

  Args:
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.py - About 5 hrs 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 _find_children_hints has a Cognitive Complexity of 30 (exceeds 5 allowed). Consider refactoring.
    Open

    def _find_children_hints(call, graph_def):
  """Find all children hints.

  For a given OpHint, we find all children hints inside it, we also copy all the
  nodes inside function defs (if applicable) to the original graph_def, they are
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.py - About 4 hrs 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 _find_all_hints_in_nodes has a Cognitive Complexity of 29 (exceeds 5 allowed). Consider refactoring.
    Open

    def _find_all_hints_in_nodes(nodes):
  """Look at the all the input nodes and return a list of LiteFuncCall objs.

  Args:
    nodes: A TensorFlow graph_def to look for LiteFuncCalls.
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.py - About 4 hrs 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 _convert_single_op_hint_to_stub has a Cognitive Complexity of 29 (exceeds 5 allowed). Consider refactoring.
    Open

    def _convert_single_op_hint_to_stub(call,
                                    graph_def,
                                    function_def_nodes=None,
                                    is_last_run=True):
  """Given a graph_def, converts `call` into a stub and returns a new graph_def.
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.py - About 4 hrs 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 add has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.
    Open

        def add(self, arg, tag=None, name=None, aggregate=None,
            index_override=None):
      """Return a wrapped tensor of an input tensor as an argument.

      Args:
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.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 flatten_nodes has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.
    Open

      def flatten_nodes(self):
    """Return a list of all the node protos in aggregation sorted order."""
    if not self.flattened:
      self.flattened = [None] * len(self.nodes)
      for idx, node in self.nodes.items():
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.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 _convert_single_op_hint_to_stub has 36 lines of code (exceeds 25 allowed). Consider refactoring.
    Open

    def _convert_single_op_hint_to_stub(call,
                                    graph_def,
                                    function_def_nodes=None,
                                    is_last_run=True):
  """Given a graph_def, converts `call` into a stub and returns a new graph_def.
    Severity: Minor
    Found in tensorflow/lite/python/op_hint.py - About 1 hr to fix

      Function _find_children_hints_in_while_loop has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.
      Open

      def _find_children_hints_in_while_loop(function_def, nodes_mapping):
  """Find children hints and all nodes inside the while loop.

  Args:
    function_def: Function def of the while loop.
      Severity: Minor
      Found in tensorflow/lite/python/op_hint.py - About 55 mins 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

      Avoid deeply nested control flow statements.
      Open

                if input_op in visited and input_op != pack_node:
            no_external_dependency = False
      # Proceed with the substitution if the stack/unstack pair was created
      # through hints, or that it was not, but nobody is consuming things
      # between the stack and unstack.
      Severity: Major
      Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

        Avoid deeply nested control flow statements.
        Open

                  for mapping in children_inputs_mappings["parent_first_child_input"]:
            parent_input_index = _get_correct_mapping(
                mapping["parent_ophint_input_index"], hints[hint_uuid].inputs)
            child_input_index = _get_correct_mapping(
                mapping["first_child_ophint_input_index"], child_hint.inputs)
        Severity: Major
        Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

          Avoid deeply nested control flow statements.
          Open

                    if node_name not in visited:
            new_node = _copy.deepcopy(other_n)
            new_node.input[:] = [
                (end_input if stripped == pack_node else non_stripped)
                for stripped, non_stripped in zip(name_to_input_name[node_name],
          Severity: Major
          Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

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

                def __init__(self,
            Severity: Minor
            Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

              Avoid deeply nested control flow statements.
              Open

                        for mapping in children_inputs_mappings[
              "internal_children_input_output"]:
            input_index = _get_correct_mapping(mapping["child_input_index"],
                                               child_hint.inputs)
            output_index = _get_correct_mapping(mapping["child_output_index"],
              Severity: Major
              Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

                Avoid deeply nested control flow statements.
                Open

                          for mapping in children_inputs_mappings["parent_last_child_output"]:
            parent_output_index = _get_correct_mapping(
                mapping["parent_output_index"], hints[hint_uuid].outputs)
            child_output_index = _get_correct_mapping(
                mapping["child_output_index"], child_hint.outputs)
                Severity: Major
                Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

                  Avoid deeply nested control flow statements.
                  Open

                            for function_def in graph_def.library.function:
            if function_def.signature.name == body_name:
              function_inputs = function_def.signature.input_arg
              assert len(inputs_outside_loop) == len(function_inputs)
              nodes_mapping = {}
                  Severity: Major
                  Found in tensorflow/lite/python/op_hint.py - About 45 mins to fix

                    Consider simplifying this complex logical expression.
                    Open

                          if (node.op == "Identity" or is_op_hint_stack or
          (do_generic_pack_unpack and node.op == "Pack")):
        is_hint_created_stack |= is_op_hint_stack
        next_to_visit += [
            input_node for input_node in name_to_input_name[current_node_name]
                    Severity: Major
                    Found in tensorflow/lite/python/op_hint.py - About 40 mins to fix

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

                          def add(self, arg, tag=None, name=None, aggregate=None,
                      Severity: Minor
                      Found in tensorflow/lite/python/op_hint.py - About 35 mins to fix

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

                          def __init__(self,
                        Severity: Minor
                        Found in tensorflow/lite/python/op_hint.py - About 35 mins to fix

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

                              def put_operand(stuff, index, sort, operand, aggregation):
                          Severity: Minor
                          Found in tensorflow/lite/python/op_hint.py - About 35 mins to fix

                            Function aggregate_and_return_name_for_input has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
                            Open

                              def aggregate_and_return_name_for_input(self, out_graphdef):
    """This adds the nodes to out_graphdef and returns an aggregated output.

    In particular, if you have 4 inputs to a hint stub, this will be the
    node that you can use as an output. I.e. you have 4 timesteps from a
                            Severity: Minor
                            Found in tensorflow/lite/python/op_hint.py - About 35 mins 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 aggregate_and_return_name_for_output has a Cognitive Complexity of 7 (exceeds 5 allowed). Consider refactoring.
                            Open

                              def aggregate_and_return_name_for_output(self, fused_op_name, output_index,
                                           out_graphdef):
    """This adds to `out_graphdef` all the unaggregated outputs.

    I.e. we are outputting from a fused stub, but we need to make it compatible
                            Severity: Minor
                            Found in tensorflow/lite/python/op_hint.py - About 35 mins 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 _check_subgraph_closed has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
                            Open

                            def _check_subgraph_closed(n, reachable_by_input, input_nodes_set,
                           name_to_input_name):
  """Checks to make sure node only connects to predecessor graph through inputs.

  Args:
                            Severity: Minor
                            Found in tensorflow/lite/python/op_hint.py - About 25 mins 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

                            Similar blocks of code found in 2 locations. Consider refactoring.
                            Open

                                    if j == len(children_hints) - 1:
          for mapping in children_inputs_mappings["parent_last_child_output"]:
            parent_output_index = _get_correct_mapping(
                mapping["parent_output_index"], hints[hint_uuid].outputs)
            child_output_index = _get_correct_mapping(
                            Severity: Major
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 4 hrs to fix
                            tensorflow/lite/python/op_hint.py on lines 1205..1211

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 81.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Similar blocks of code found in 2 locations. Consider refactoring.
                            Open

                                    if j == 0:
          for mapping in children_inputs_mappings["parent_first_child_input"]:
            parent_input_index = _get_correct_mapping(
                mapping["parent_ophint_input_index"], hints[hint_uuid].inputs)
            child_input_index = _get_correct_mapping(
                            Severity: Major
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 4 hrs to fix
                            tensorflow/lite/python/op_hint.py on lines 1222..1228

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 81.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Similar blocks of code found in 2 locations. Consider refactoring.
                            Open

                              def add_inputs(self, *args, **kwargs):
    """Add a sequence of inputs to the function invocation.

    Args:
      *args: List of inputs to be converted (should be Tf.Tensor).
                            Severity: Major
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 4 hrs to fix
                            tensorflow/lite/python/op_hint.py on lines 446..463

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 76.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Similar blocks of code found in 2 locations. Consider refactoring.
                            Open

                              def add_outputs(self, *args, **kwargs):
    """Add a sequence of outputs to the function invocation.

    Args:
      *args: List of outputs to be converted (should be tf.Tensor).
                            Severity: Major
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 4 hrs to fix
                            tensorflow/lite/python/op_hint.py on lines 427..444

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 76.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Identical blocks of code found in 2 locations. Consider refactoring.
                            Open

                                if (self.aggregation == OpHint.AGGREGATE_FIRST) or (
        self.aggregation == OpHint.AGGREGATE_LAST):
      assert len(flattened) == 1
                            Severity: Major
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 1 hr to fix
                            tensorflow/lite/python/op_hint.py on lines 632..634

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 42.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Identical blocks of code found in 2 locations. Consider refactoring.
                            Open

                                if (self.aggregation == OpHint.AGGREGATE_FIRST) or (
        self.aggregation == OpHint.AGGREGATE_LAST):
      assert len(flattened) == 1
                            Severity: Major
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 1 hr to fix
                            tensorflow/lite/python/op_hint.py on lines 598..600

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 42.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Similar blocks of code found in 2 locations. Consider refactoring.
                            Open

                                if OpHint.FUNCTION_OUTPUT_INDEX_ATTR in attr:
      put_operand(call_def.outputs, attr[OpHint.FUNCTION_OUTPUT_INDEX_ATTR].i,
                  sort, node, aggregation)
                            Severity: Minor
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 45 mins to fix
                            tensorflow/lite/python/op_hint.py on lines 775..777

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 35.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

                            Similar blocks of code found in 2 locations. Consider refactoring.
                            Open

                                if OpHint.FUNCTION_INPUT_INDEX_ATTR in attr:
      put_operand(call_def.inputs, attr[OpHint.FUNCTION_INPUT_INDEX_ATTR].i,
                  sort, node, aggregation)
                            Severity: Minor
                            Found in tensorflow/lite/python/op_hint.py and 1 other location - About 45 mins to fix
                            tensorflow/lite/python/op_hint.py on lines 778..780

                            Duplicated Code

                            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

                            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

                            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

                            Tuning

                            This issue has a mass of 35.

                            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

                            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

                            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

                            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

                            Refactorings

                            Further Reading

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