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Function make_ChimeraModel has a Cognitive Complexity of 86 (exceeds 5 allowed). Consider refactoring.
Open

def make_ChimeraModel(linear, quadratic):
    """ChimeraModel factory.

    Returns:
        generated ChimeraModel class
Severity: Minor
Found in openjij/model/chimera_model.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 sample has a Cognitive Complexity of 70 (exceeds 5 allowed). Consider refactoring.
Open

    def sample(
        self,
        bqm: Union[
            "openj.model.model.BinaryQuadraticModel", dimod.BinaryQuadraticModel
        ],
Severity: Minor
Found in openjij/sampler/sa_sampler.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 BinaryPolynomialModel has a Cognitive Complexity of 59 (exceeds 5 allowed). Consider refactoring.
Open

def BinaryPolynomialModel(*args, **kwargs):
    if kwargs == {}:
        if len(args) <= 1:
            raise TypeError("Invalid argument for this function")
        elif len(args) == 2:
Severity: Minor
Found in openjij/model/model.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 make_KingGraph has a Cognitive Complexity of 52 (exceeds 5 allowed). Consider refactoring.
Open

def make_KingGraph(linear=None, quadratic=None, king_graph=None):
    """KingGraph factory

    Returns:
        generated KingGraph class
Severity: Minor
Found in openjij/model/king_graph.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

File sa_sampler.py has 501 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2023 Jij Inc.
# 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 openjij/sampler/sa_sampler.py - About 1 day to fix

    File model.py has 485 lines of code (exceeds 250 allowed). Consider refactoring.
    Open

    # Copyright 2023 Jij Inc.

# 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: Minor
    Found in openjij/model/model.py - About 7 hrs to fix

      Function make_BinaryPolynomialModel_from_hising has a Cognitive Complexity of 44 (exceeds 5 allowed). Consider refactoring.
      Open

      def make_BinaryPolynomialModel_from_hising(*args, **kwargs):
    if kwargs == {}:
        if len(args) == 0:
            raise TypeError("Invalid argument for this function")
        elif len(args) == 1:
      Severity: Minor
      Found in openjij/model/model.py - About 6 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 make_BinaryPolynomialModel_from_hubo has a Cognitive Complexity of 44 (exceeds 5 allowed). Consider refactoring.
      Open

      def make_BinaryPolynomialModel_from_hubo(*args, **kwargs):
    if kwargs == {}:
        if len(args) == 0:
            raise TypeError("Invalid argument for this function")
        elif len(args) == 1:
      Severity: Minor
      Found in openjij/model/model.py - About 6 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

      Cyclomatic complexity is too high in function BinaryPolynomialModel. (35)
      Open

      def BinaryPolynomialModel(*args, **kwargs):
    if kwargs == {}:
        if len(args) <= 1:
            raise TypeError("Invalid argument for this function")
        elif len(args) == 2:
      Severity: Minor
      Found in openjij/model/model.py by radon

      Cyclomatic Complexity

      Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

      Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

      Construct Effect on CC Reasoning
      if +1 An if statement is a single decision.
      elif +1 The elif statement adds another decision.
      else +0 The else statement does not cause a new decision. The decision is at the if.
      for +1 There is a decision at the start of the loop.
      while +1 There is a decision at the while statement.
      except +1 Each except branch adds a new conditional path of execution.
      finally +0 The finally block is unconditionally executed.
      with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
      assert +1 The assert statement internally roughly equals a conditional statement.
      Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
      Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

      Source: http://radon.readthedocs.org/en/latest/intro.html

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

          if measure_with_energy:
        suc_prob = np.count_nonzero(np.array(response.energies) <= ref_energy) / len(
            response.energies
        )
    else:
      Severity: Major
      Found in openjij/utils/benchmark.py and 1 other location - About 6 hrs to fix
      openjij/utils/benchmark.py on lines 185..199

      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 102.

      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 measure_with_energy:
        se_suc_prob = np.sqrt(
            np.count_nonzero(np.array(response.energies) <= ref_energy)
            / (len(response.energies) - 1)
        )
      Severity: Major
      Found in openjij/utils/benchmark.py and 1 other location - About 6 hrs to fix
      openjij/utils/benchmark.py on lines 151..164

      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 102.

      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

      Cyclomatic complexity is too high in method sample. (31)
      Open

          def sample(
        self,
        bqm: Union[
            "openj.model.model.BinaryQuadraticModel", dimod.BinaryQuadraticModel
        ],
      Severity: Minor
      Found in openjij/sampler/sa_sampler.py by radon

      Cyclomatic Complexity

      Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

      Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

      Construct Effect on CC Reasoning
      if +1 An if statement is a single decision.
      elif +1 The elif statement adds another decision.
      else +0 The else statement does not cause a new decision. The decision is at the if.
      for +1 There is a decision at the start of the loop.
      while +1 There is a decision at the while statement.
      except +1 Each except branch adds a new conditional path of execution.
      finally +0 The finally block is unconditionally executed.
      with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
      assert +1 The assert statement internally roughly equals a conditional statement.
      Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
      Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

      Source: http://radon.readthedocs.org/en/latest/intro.html

      Function _sample_hubo_old has a Cognitive Complexity of 38 (exceeds 5 allowed). Consider refactoring.
      Open

          def _sample_hubo_old(
        self,
        J: Union[
            dict, "openj.model.model.BinaryPolynomialModel", cimod.BinaryPolynomialModel
        ],
      Severity: Minor
      Found in openjij/sampler/sa_sampler.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

      Cyclomatic complexity is too high in function make_BinaryPolynomialModel_from_hubo. (25)
      Open

      def make_BinaryPolynomialModel_from_hubo(*args, **kwargs):
    if kwargs == {}:
        if len(args) == 0:
            raise TypeError("Invalid argument for this function")
        elif len(args) == 1:
      Severity: Minor
      Found in openjij/model/model.py by radon

      Cyclomatic Complexity

      Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

      Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

      Construct Effect on CC Reasoning
      if +1 An if statement is a single decision.
      elif +1 The elif statement adds another decision.
      else +0 The else statement does not cause a new decision. The decision is at the if.
      for +1 There is a decision at the start of the loop.
      while +1 There is a decision at the while statement.
      except +1 Each except branch adds a new conditional path of execution.
      finally +0 The finally block is unconditionally executed.
      with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
      assert +1 The assert statement internally roughly equals a conditional statement.
      Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
      Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

      Source: http://radon.readthedocs.org/en/latest/intro.html

      Cyclomatic complexity is too high in function make_BinaryPolynomialModel_from_hising. (25)
      Open

      def make_BinaryPolynomialModel_from_hising(*args, **kwargs):
    if kwargs == {}:
        if len(args) == 0:
            raise TypeError("Invalid argument for this function")
        elif len(args) == 1:
      Severity: Minor
      Found in openjij/model/model.py by radon

      Cyclomatic Complexity

      Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

      Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

      Construct Effect on CC Reasoning
      if +1 An if statement is a single decision.
      elif +1 The elif statement adds another decision.
      else +0 The else statement does not cause a new decision. The decision is at the if.
      for +1 There is a decision at the start of the loop.
      while +1 There is a decision at the while statement.
      except +1 Each except branch adds a new conditional path of execution.
      finally +0 The finally block is unconditionally executed.
      with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
      assert +1 The assert statement internally roughly equals a conditional statement.
      Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
      Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

      Source: http://radon.readthedocs.org/en/latest/intro.html

      Cyclomatic complexity is too high in method _sample_hubo_old. (20)
      Open

          def _sample_hubo_old(
        self,
        J: Union[
            dict, "openj.model.model.BinaryPolynomialModel", cimod.BinaryPolynomialModel
        ],
      Severity: Minor
      Found in openjij/sampler/sa_sampler.py by radon

      Cyclomatic Complexity

      Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

      Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

      Construct Effect on CC Reasoning
      if +1 An if statement is a single decision.
      elif +1 The elif statement adds another decision.
      else +0 The else statement does not cause a new decision. The decision is at the if.
      for +1 There is a decision at the start of the loop.
      while +1 There is a decision at the while statement.
      except +1 Each except branch adds a new conditional path of execution.
      finally +0 The finally block is unconditionally executed.
      with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
      assert +1 The assert statement internally roughly equals a conditional statement.
      Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
      Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

      Source: http://radon.readthedocs.org/en/latest/intro.html

      Function BinaryQuadraticModel has a Cognitive Complexity of 26 (exceeds 5 allowed). Consider refactoring.
      Open

      def BinaryQuadraticModel(linear, quadratic, *args, **kwargs):
    """Generate BinaryQuadraticModel object.

    Attributes:
        vartype (dimod.Vartype): variable type SPIN or BINARY
      Severity: Minor
      Found in openjij/model/model.py - About 3 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 sample has a Cognitive Complexity of 24 (exceeds 5 allowed). Consider refactoring.
      Open

          def sample(
        self,
        bqm: Union[
            "openjij.model.model.BinaryQuadraticModel", dimod.BinaryQuadraticModel
        ],
      Severity: Minor
      Found in openjij/sampler/sqa_sampler.py - About 3 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

      Cyclomatic complexity is too high in method sample. (15)
      Open

          def sample(
        self,
        bqm: Union[
            "openjij.model.model.BinaryQuadraticModel", dimod.BinaryQuadraticModel
        ],
      Severity: Minor
      Found in openjij/sampler/sqa_sampler.py by radon

      Cyclomatic Complexity

      Cyclomatic Complexity corresponds to the number of decisions a block of code contains plus 1. This number (also called McCabe number) is equal to the number of linearly independent paths through the code. This number can be used as a guide when testing conditional logic in blocks.

      Radon analyzes the AST tree of a Python program to compute Cyclomatic Complexity. Statements have the following effects on Cyclomatic Complexity:

      Construct Effect on CC Reasoning
      if +1 An if statement is a single decision.
      elif +1 The elif statement adds another decision.
      else +0 The else statement does not cause a new decision. The decision is at the if.
      for +1 There is a decision at the start of the loop.
      while +1 There is a decision at the while statement.
      except +1 Each except branch adds a new conditional path of execution.
      finally +0 The finally block is unconditionally executed.
      with +1 The with statement roughly corresponds to a try/except block (see PEP 343 for details).
      assert +1 The assert statement internally roughly equals a conditional statement.
      Comprehension +1 A list/set/dict comprehension of generator expression is equivalent to a for loop.
      Boolean Operator +1 Every boolean operator (and, or) adds a decision point.

      Source: http://radon.readthedocs.org/en/latest/intro.html

      File chimera_model.py has 285 lines of code (exceeds 250 allowed). Consider refactoring.
      Open

      # Copyright 2023 Jij Inc.

# 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: Minor
      Found in openjij/model/chimera_model.py - About 2 hrs to fix
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