Use of assert detected. The enclosed code will be removed when compiling to optimised byte code. Open
assert frame.getformat() == 'coo'
- Exclude checks
Cyclomatic complexity is too high in method __init__. (15) Open
def __init__(self, masks: MaskContainer, meta: UDFMeta, use_torch: bool):
self.masks = masks
self.meta = meta
try:
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- 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. |
Cyclomatic complexity is too high in method __init__. (11) Open
def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
mask_dtype=None, preferred_dtype=None, backends=None, shifts=None, **kwargs):
_backends = backends
if backends is None:
- 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. |
Cyclomatic complexity is too high in method process_frame_shifted. (6) Open
def process_frame_shifted(self, frame, shifts: tuple[int, ...]):
sig_shape = self.meta.dataset_shape.sig
masks = self._get_masks()
num_masks = len(self.masks)
shifted_slice = self.meta.sig_slice.shift_by(shifts)
- 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 __init__
has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring. Open
def __init__(self, masks: MaskContainer, meta: UDFMeta, use_torch: bool):
self.masks = masks
self.meta = meta
try:
- 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
Function __init__
has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring. Open
def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
mask_dtype=None, preferred_dtype=None, backends=None, shifts=None, **kwargs):
_backends = backends
if backends is None:
- 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
Consider simplifying this complex logical expression. Open
if use_torch and (not torch_incompatible):
self.process_flat = self._process_flat_torch
elif (
self.meta.array_backend == UDF.BACKEND_NUMPY
and isinstance(self.masks.use_sparse, str)
Function __init__
has 9 arguments (exceeds 8 allowed). Consider refactoring. Open
def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
Function process_frame_shifted
has a Cognitive Complexity of 6 (exceeds 5 allowed). Consider refactoring. Open
def process_frame_shifted(self, frame, shifts: tuple[int, ...]):
sig_shape = self.meta.dataset_shape.sig
masks = self._get_masks()
num_masks = len(self.masks)
shifted_slice = self.meta.sig_slice.shift_by(shifts)
- 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 10 parameters, which is greater than the 7 authorized. Open
def __init__(self, mask_factories, use_torch=True, use_sparse=None, mask_count=None,
mask_dtype=None, preferred_dtype=None, backends=None, shifts=None, **kwargs):
- Read upRead up
- Exclude checks
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): ...
Take the required action to fix the issue indicated by this "FIXME" comment. Open
# FIXME use GPU torch with CuPy array?
- Read upRead up
- Exclude checks
FIXME
tags are commonly used to mark places where a bug is suspected, but which the developer wants to deal with later.
Sometimes the developer will not have the time or will simply forget to get back to that tag.
This rule is meant to track those tags and to ensure that they do not go unnoticed.
Noncompliant Code Example
def divide(numerator, denominator): return numerator / denominator # FIXME denominator value might be 0
See
- MITRE, CWE-546 - Suspicious Comment