Cyclomatic complexity is too high in function mark_read. (7) Open
def mark_read(request: HttpRequest, message_pk, fail_silently=False):
try:
backend = request.dmm_backend # type: MessageBackend
except AttributeError:
if not isinstance(request, HttpRequest):
- 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 mark_unread. (7) Open
def mark_unread(request: HttpRequest, message_pk, fail_silently=False):
try:
backend = request.dmm_backend # type: MessageBackend
except AttributeError:
if not isinstance(request, HttpRequest):
- 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 archive. (7) Open
def archive(request: HttpRequest, message_pk, fail_silently=False):
try:
backend = request.dmm_backend # type: MessageBackend
except AttributeError:
if not isinstance(request, HttpRequest):
- 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 unarchive. (7) Open
def unarchive(request: HttpRequest, message_pk, fail_silently=False):
try:
backend = request.dmm_backend # type: MessageBackend
except AttributeError:
if not isinstance(request, HttpRequest):
- 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 "add" has 10 parameters, which is greater than the 7 authorized. Open
def add(request: HttpRequest,
level: int = constants.SECONDARY,
text: str = None,
subject: str = None,
extra: object = None,
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- 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): ...
Function "primary" has 9 parameters, which is greater than the 7 authorized. Open
def primary(request: HttpRequest,
text: str,
subject: str = None,
extra: object = None,
to_users_pk: Iterable = tuple(),
- 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): ...
Function "secondary" has 9 parameters, which is greater than the 7 authorized. Open
def secondary(request: HttpRequest,
text: str = None,
subject: str = None,
extra: object = None,
to_users_pk: Iterable = tuple(),
- 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): ...
Function "warning" has 9 parameters, which is greater than the 7 authorized. Open
def warning(request: HttpRequest,
text: str,
subject: str = None,
extra: object = None,
to_users_pk: Iterable = tuple(),
- 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): ...
Function "info" has 9 parameters, which is greater than the 7 authorized. Open
def info(request: HttpRequest,
text: str,
subject: str = None,
extra: object = None,
to_users_pk: Iterable = tuple(),
- 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): ...
Function "error" has 9 parameters, which is greater than the 7 authorized. Open
def error(request: HttpRequest,
text: str,
subject: str = None,
extra: object = None,
to_users_pk: Iterable = tuple(),
- 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): ...
Function "success" has 9 parameters, which is greater than the 7 authorized. Open
def success(request: HttpRequest,
text: str,
subject: str = None,
extra: object = None,
to_users_pk: Iterable = tuple(),
- 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): ...