PluralTextarea.render
has a cyclomatic complexity of 16 with "high" risk 269
270 return result
271
272 def render(self, name, value, attrs=None, renderer=None, **kwargs): 273 """Render all textareas with correct plural labels."""
274 unit = value
275 values = unit.get_target_plurals()
Change.get_details_display
has a cyclomatic complexity of 30 with "very-high" risk778 or self.action in self.ACTIONS_REVERTABLE
779 )
780
781 def get_details_display(self): # noqa: C901782 from weblate.addons.models import ADDONS
783 from weblate.utils.markdown import render_markdown
784
TranslationStats._calculate_basic
has a cyclomatic complexity of 67 with "critical" risk 500 def has_review(self):
501 return self._object.enable_review
502
503 def _calculate_basic(self) -> None: # noqa: PLR0914 504 values = (
505 "state",
506 "num_words",
AggregatingStats._calculate_basic
has a cyclomatic complexity of 16 with "high" risk 836 def calculate_source(self, stats: dict, all_stats: list) -> None:
837 return
838
839 def _calculate_basic(self) -> None: 840 stats = zero_stats(self.basic_keys)
841 all_stats = [
842 obj.stats
Unit.save
has a cyclomatic complexity of 16 with "high" risk 443 name = source
444 return f"{self.pk}: {name}"
445
446 def save( 447 self,
448 *,
449 same_content: bool = False,
A function with high cyclomatic complexity can be hard to understand and maintain. Cyclomatic complexity is a software metric that measures the number of independent paths through a function. A higher cyclomatic complexity indicates that the function has more decision points and is more complex.
Functions with high cyclomatic complexity are more likely to have bugs and be harder to test. They may lead to reduced code maintainability and increased development time.
To reduce the cyclomatic complexity of a function, you can:
def number_to_name():
number = input()
if not number.isdigit():
print("Enter a valid number")
return
number = int(number)
if number >= 10:
print("Number is too big")
return
if number == 1:
print("one")
elif number == 2:
print("two")
elif number == 3:
print("three")
elif number == 4:
print("four")
elif number == 5:
print("five")
elif number == 6:
print("six")
elif number == 7:
print("seven")
elif number == 8:
print("eight")
elif number == 9:
print("nine")
def number_to_name():
number = input()
if not number.isdigit():
print("Enter a valid number")
return
number = int(number)
if number >= 10:
print("Number is too big")
return
names = {
1: "one",
2: "two",
3: "three",
4: "four",
5: "five",
6: "six",
7: "seven",
8: "eight",
9: "nine",
}
print(names[number])
Cyclomatic complexity threshold can be configured using the
cyclomatic_complexity_threshold
meta field in the
.deepsource.toml
config file.
Configuring this is optional. If you don't provide a value, the Analyzer will
raise issues for functions with complexity higher than the default threshold,
which is medium
for the Python Analyzer.
Here's the mapping of the risk category to the cyclomatic complexity score to help you configure this better:
Risk category | Cyclomatic complexity range | Recommended action |
---|---|---|
low | 1-5 | No action needed. |
medium | 6-15 | Review and monitor. |
high | 16-25 | Review and refactor. Recommended to add comments if the function is absolutely needed to be kept as it is. |
very-high | 26-50 | Refactor to reduce the complexity. |
critical | >50 | Must refactor this. This can make the code untestable and very difficult to understand. |