Cyclomatic complexity is too high in method _adapt_chunking. (23) Open
def _adapt_chunking(self, array, sig_dims):
n_dimension = array.ndim
# Handle chunked signal dimensions by merging just in case
sig_dim_idxs = [*range(n_dimension)[-sig_dims:]]
if any([len(array.chunks[c]) > 1 for c in sig_dim_idxs]):- 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. |
File dask.py has 416 lines of code (exceeds 400 allowed). Consider refactoring. Open
import logging
import itertools
import numpy as np
import dask.array as da
Cyclomatic complexity is too high in method _check_array. (9) Open
def _check_array(self, array, sig_dims):
if not isinstance(array, da.Array):
raise DataSetException('Expected a Dask array as input, recieved '
f'{type(array)}.')
if not isinstance(sig_dims, int) and sig_dims >= 0:- 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 function merge_until_target. (7) Open
def merge_until_target(array, target, min_chunks=0):
chunking = array.chunks
if array.nbytes < target:
# A really small dataset, better to treat as one partition
chunking = tuple((s,) for s in array.shape)- 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. |
Refactor this function to reduce its Cognitive Complexity from 18 to the 15 allowed. Open
def _adapt_chunking(self, array, sig_dims):- Read upRead up
- Exclude checks
Cognitive Complexity is a measure of how hard the control flow of a function is to understand. Functions with high Cognitive Complexity will be difficult to maintain.