Cyclomatic complexity is too high in method wlcs. (8) Open
def wlcs(self, src: str, tar: str) -> float:
"""Return the Rouge-W weighted longest common sub-sequence length.
Parameters
----------- Read upRead up
- Exclude checks
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. |
Function wlcs has a Cognitive Complexity of 15 (exceeds 5 allowed). Consider refactoring. Open
def wlcs(self, src: str, tar: str) -> float:
"""Return the Rouge-W weighted longest common sub-sequence length.
Parameters
----------- 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
Cyclomatic complexity is too high in method sim. (6) Open
def sim(self, src: str, tar: str, beta: float = 8) -> float:
"""Return the Rouge-W similarity of two strings.
Parameters
----------- Read upRead up
- Exclude checks
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. |
Unable to import 'numpy' Open
from numpy import int_ as np_int- Read upRead up
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Used when pylint has been unable to import a module.
Parameters differ from overridden 'sim' method Open
def sim(self, src: str, tar: str, beta: float = 8) -> float:- Read upRead up
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Used when a method has a different number of arguments than in the implemented interface or in an overridden method.
Unable to import 'numpy' Open
from numpy import zeros as np_zeros- Read upRead up
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Used when pylint has been unable to import a module.
Wrong hanging indentation before block (add 4 spaces). Open
self,- Read upRead up
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TODO self, ^ |
Wrong hanging indentation before block (add 4 spaces). Open
f_inv: Optional[Callable[[float], float]] = None,- Read upRead up
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TODO f_inv: Optional[Callable[[float], float]] = None, ^ |
Wrong hanging indentation before block (add 4 spaces). Open
**kwargs: Any- Read upRead up
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TODO **kwargs: Any ^ |
Wrong hanging indentation before block (add 4 spaces). Open
f_func: Optional[Callable[[float], float]] = None,- Read upRead up
- Exclude checks
TODO f_func: Optional[Callable[[float], float]] = None, ^ |
Argument name n doesn't conform to snake_case naming style Open
def _square(n: float) -> float:- Read upRead up
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Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).
Argument name n doesn't conform to snake_case naming style Open
def _sqrt(n: float) -> float:- Read upRead up
- Exclude checks
Used when the name doesn't conform to naming rules associated to its type (constant, variable, class...).