conan-io/conan

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conans/client/graph/graph_binaries.py

Summary

Maintainability
C
1 day
Test Coverage

Function _evaluate_node has a Cognitive Complexity of 53 (exceeds 20 allowed). Consider refactoring.
Open

    def _evaluate_node(self, node, build_mode, update, remotes):
        assert node.binary is None, "Node.binary should be None"
        assert node.package_id is not None, "Node.package_id shouldn't be None"
        assert node.package_id != PACKAGE_ID_UNKNOWN, "Node.package_id shouldn't be Unknown"
        assert node.prev is None, "Node.prev should be None"
Severity: Minor
Found in conans/client/graph/graph_binaries.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 _process_node has a Cognitive Complexity of 28 (exceeds 20 allowed). Consider refactoring.
Open

    def _process_node(self, node, pref, build_mode, update, remotes):
        # Check that this same reference hasn't already been checked
        if self._evaluate_is_cached(node, pref):
            return

Severity: Minor
Found in conans/client/graph/graph_binaries.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 _evaluate_remote_pkg has a Cognitive Complexity of 23 (exceeds 20 allowed). Consider refactoring.
Open

    def _evaluate_remote_pkg(self, node, pref, remote, remotes, remote_selected):
        remote_info = None
        # If the remote is pinned (remote_selected) we won't iterate the remotes.
        # The "remote" can come from -r or from the registry (associated ref)
        if remote_selected or remote:
Severity: Minor
Found in conans/client/graph/graph_binaries.py - About 45 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 package_id == node.package_id:
                            node.conanfile.output.info("Compatible package ID %s equal to the "
                                                       "default package ID" % package_id)
                            continue
                        pref = PackageReference(node.ref, package_id)
Severity: Major
Found in conans/client/graph/graph_binaries.py - About 45 mins to fix

    Avoid deeply nested control flow statements.
    Open

                            if node.binary not in (BINARY_MISSING, ):
                                node.conanfile.output.info("Main binary package '%s' missing. Using "
                                                           "compatible package '%s'"
                                                           % (node.package_id, package_id))
    
    
    Severity: Major
    Found in conans/client/graph/graph_binaries.py - About 45 mins to fix

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

                  if node.binary == BINARY_MISSING and build_mode.allowed(node.conanfile):
                      if node.cant_build:
                          node.binary = BINARY_INVALID
                      else:
                          node.binary = BINARY_BUILD
      Severity: Major
      Found in conans/client/graph/graph_binaries.py and 1 other location - About 1 hr to fix
      conans/client/graph/graph_binaries.py on lines 239..243

      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 46.

      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 node.binary == BINARY_MISSING and build_mode.allowed(node.conanfile):
                          if node.cant_build:
                              node.binary = BINARY_INVALID
                          else:
                              node.binary = BINARY_BUILD
      Severity: Major
      Found in conans/client/graph/graph_binaries.py and 1 other location - About 1 hr to fix
      conans/client/graph/graph_binaries.py on lines 183..187

      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 46.

      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

      Visually indented line with same indent as next logical line
      Open

                          (dep_node.graph_lock_node and dep_node.graph_lock_node.modified)):
      Severity: Minor
      Found in conans/client/graph/graph_binaries.py by pep8

      Continuation lines indentation.

      Continuation lines should align wrapped elements either vertically
      using Python's implicit line joining inside parentheses, brackets
      and braces, or using a hanging indent.
      
      When using a hanging indent these considerations should be applied:
      - there should be no arguments on the first line, and
      - further indentation should be used to clearly distinguish itself
        as a continuation line.
      
      Okay: a = (\n)
      E123: a = (\n    )
      
      Okay: a = (\n    42)
      E121: a = (\n   42)
      E122: a = (\n42)
      E123: a = (\n    42\n    )
      E124: a = (24,\n     42\n)
      E125: if (\n    b):\n    pass
      E126: a = (\n        42)
      E127: a = (24,\n      42)
      E128: a = (24,\n    42)
      E129: if (a or\n    b):\n    pass
      E131: a = (\n    42\n 24)

      Too many blank lines (3)
      Open

              if self._evaluate_build(node, build_mode):
      Severity: Minor
      Found in conans/client/graph/graph_binaries.py by pep8

      Separate top-level function and class definitions with two blank lines.

      Method definitions inside a class are separated by a single blank
      line.
      
      Extra blank lines may be used (sparingly) to separate groups of
      related functions.  Blank lines may be omitted between a bunch of
      related one-liners (e.g. a set of dummy implementations).
      
      Use blank lines in functions, sparingly, to indicate logical
      sections.
      
      Okay: def a():\n    pass\n\n\ndef b():\n    pass
      Okay: def a():\n    pass\n\n\nasync def b():\n    pass
      Okay: def a():\n    pass\n\n\n# Foo\n# Bar\n\ndef b():\n    pass
      Okay: default = 1\nfoo = 1
      Okay: classify = 1\nfoo = 1
      
      E301: class Foo:\n    b = 0\n    def bar():\n        pass
      E302: def a():\n    pass\n\ndef b(n):\n    pass
      E302: def a():\n    pass\n\nasync def b(n):\n    pass
      E303: def a():\n    pass\n\n\n\ndef b(n):\n    pass
      E303: def a():\n\n\n\n    pass
      E304: @decorator\n\ndef a():\n    pass
      E305: def a():\n    pass\na()
      E306: def a():\n    def b():\n        pass\n    def c():\n        pass

      Line too long (119 > 100 characters)
      Open

                                  node.conanfile.options._package_options.values = compatible_package.options._package_values
      Severity: Minor
      Found in conans/client/graph/graph_binaries.py by pep8

      Limit all lines to a maximum of 79 characters.

      There are still many devices around that are limited to 80 character
      lines; plus, limiting windows to 80 characters makes it possible to
      have several windows side-by-side.  The default wrapping on such
      devices looks ugly.  Therefore, please limit all lines to a maximum
      of 79 characters. For flowing long blocks of text (docstrings or
      comments), limiting the length to 72 characters is recommended.
      
      Reports error E501.

      Unexpected spaces around keyword / parameter equals
      Open

                                                default_python_requires_id_mode=
      Severity: Minor
      Found in conans/client/graph/graph_binaries.py by pep8

      Don't use spaces around the '=' sign in function arguments.

      Don't use spaces around the '=' sign when used to indicate a
      keyword argument or a default parameter value, except when
      using a type annotation.
      
      Okay: def complex(real, imag=0.0):
      Okay: return magic(r=real, i=imag)
      Okay: boolean(a == b)
      Okay: boolean(a != b)
      Okay: boolean(a <= b)
      Okay: boolean(a >= b)
      Okay: def foo(arg: int = 42):
      Okay: async def foo(arg: int = 42):
      
      E251: def complex(real, imag = 0.0):
      E251: return magic(r = real, i = imag)
      E252: def complex(real, image: float=0.0):

      There are no issues that match your filters.

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