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Marcello-Sega/pytim

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pytim/properties.py

Summary

Maintainability
A
3 hrs
Test Coverage

Cyclomatic complexity is too high in function _check_missing_attribute. (8)
Open

def _check_missing_attribute(interface, name, classname, group, value):
    """ Add an attribute, which is necessary for pytim but
        missing from the present topology.

        An example of how the code below would expand is:
Severity: Minor
Found in pytim/properties.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 guess_radii. (8)
Open

def guess_radii(interface, group=None):
    # NOTE: this code depends on the assumption that not-set radii,
    # have the value np.nan (see _missing_attributes() ), so don't change it
    # let's test first which information is available
    guessed = {}
Severity: Minor
Found in pytim/properties.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 _check_missing_attribute has a Cognitive Complexity of 13 (exceeds 5 allowed). Consider refactoring.
Open

def _check_missing_attribute(interface, name, classname, group, value):
    """ Add an attribute, which is necessary for pytim but
        missing from the present topology.

        An example of how the code below would expand is:
Severity: Minor
Found in pytim/properties.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 _check_missing_attribute has 5 arguments (exceeds 4 allowed). Consider refactoring.
Open

def _check_missing_attribute(interface, name, classname, group, value):
Severity: Minor
Found in pytim/properties.py - About 35 mins to fix

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

def guess_radii(interface, group=None):
    # NOTE: this code depends on the assumption that not-set radii,
    # have the value np.nan (see _missing_attributes() ), so don't change it
    # let's test first which information is available
    guessed = {}
Severity: Minor
Found in pytim/properties.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 _guess_radii_from_types has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring.
Open

def _guess_radii_from_types(interface, group, guessed):
    radii = np.copy(group.radii)

    _dict = interface.radii_dict
    for aname in np.unique(group.names):
Severity: Minor
Found in pytim/properties.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

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