Cyclomatic complexity is too high in method process_options. (12) Open
def process_options(self, node, options, docname=None):
""" Processes given options.
If the document name is specified, all options are treated as required, a warning is reported for the
first missing option, and False is returned. If all goes well, True is returned.- Read upRead up
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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. |
Refactor this function to reduce its Cognitive Complexity from 23 to the 15 allowed. Open
def process_options(self, node, options, docname=None):- Read upRead up
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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.
See
Formatting a regular string which could be a f-string Open
report_warning('Traceability: unknown %s for item-(attributes-)matrix: %s' % (description, attr),- Read upRead up
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Used when we detect a string that is being formatted with format() or % which could potentially be a f-string. The use of f-strings is preferred. Requires Python 3.6 and py-version >= 3.6.
Formatting a regular string which could be a f-string Open
report_warning('%s argument required for %s directive' % (option, self.name),- Read upRead up
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Used when we detect a string that is being formatted with format() or % which could potentially be a f-string. The use of f-strings is preferred. Requires Python 3.6 and py-version >= 3.6.
Formatting a regular string which could be a f-string Open
report_warning('Traceability: unknown relation for %s: %s' % (self.name, rel),- Read upRead up
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Used when we detect a string that is being formatted with format() or % which could potentially be a f-string. The use of f-strings is preferred. Requires Python 3.6 and py-version >= 3.6.
Formatting a regular string which could be a f-string Open
report_warning("The arguments of the '{}' option must be space-separated without commas; "- Read upRead up
- Exclude checks
Used when we detect a string that is being formatted with format() or % which could potentially be a f-string. The use of f-strings is preferred. Requires Python 3.6 and py-version >= 3.6.