Cyclomatic complexity is too high in method __init__. (10) Open
def __init__(
self, dataset, udf, roi=None, channel=None, title=None, min_delta=0, udfresult=None
):
if udfresult is None:
udfresult = UDFRunner.dry_run([udf], dataset, roi)
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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. |
Cyclomatic complexity is too high in function _get_norm. (7) Open
def _get_norm(result, norm_cls=colors.Normalize, vmin=None, vmax=None, damage=None):
if (vmin is not None) and (vmax is not None):
return norm_cls(vmin=vmin, vmax=vmax)
result = result.astype(np.float32)
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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 __init__
has a Cognitive Complexity of 15 (exceeds 5 allowed). Consider refactoring. Open
def __init__(
self, dataset, udf, roi=None, channel=None, title=None, min_delta=0, udfresult=None
):
if udfresult is None:
udfresult = UDFRunner.dry_run([udf], dataset, roi)
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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 _get_norm
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def _get_norm(result, norm_cls=colors.Normalize, vmin=None, vmax=None, damage=None):
if (vmin is not None) and (vmax is not None):
return norm_cls(vmin=vmin, vmax=vmax)
result = result.astype(np.float32)
- 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
Method "__init__" has 8 parameters, which is greater than the 7 authorized. Open
self, dataset, udf, roi=None, channel=None, title=None, min_delta=0, udfresult=None
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A long parameter list can indicate that a new structure should be created to wrap the numerous parameters or that the function is doing too many things.
Noncompliant Code Example
With a maximum number of 4 parameters:
def do_something(param1, param2, param3, param4, param5): ...
Compliant Solution
def do_something(param1, param2, param3, param4): ...
Rename function "get_plottable_2D_channels" to match the regular expression ^[a-z_][a-z0-9_]{2,}$. Open
def get_plottable_2D_channels(buffers):
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Shared coding conventions allow teams to collaborate efficiently. This rule checks that all function names match a provided regular expression.
Noncompliant Code Example
With the default provided regular expression: ^[a-z_][a-z0-9_]{2,30}$
def MyFunction(a,b): ...
Compliant Solution
def my_function(a,b): ...