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This rule raises an issue when a lambda is directly assigned to a variable.

Why is this an issue?

Assigning a lambda to a variable is not inherently wrong or discouraged in Python. Lambdas are anonymous functions that can be useful for short and simple expressions or as function arguments. However, there are a few reasons why you might consider alternatives to assigning a lambda to a variable:

  1. Readability and clarity: Lambdas can be concise, but they may become less readable as the expression or logic becomes more complex. For more complex or longer functions, using a regular named function defined with def can make the code more readable and self-explanatory.
  2. Reusability: Lambdas are often used for one-off or small, isolated tasks. If you find that you need to reuse a piece of functionality in multiple places within your code or across modules, it is better to define a named function using def. This promotes code modularity and maintainability.
  3. Documentation: Lambdas do not support docstrings, which are important for providing clear and comprehensive documentation for your functions. If you need to document the purpose, parameters, or behavior of a function, it is best to define a named function using def and include a docstring.
  4. Debugging and error handling: Lambdas are anonymous functions, which means that when an error occurs during execution, the traceback will not provide a specific name associated with the lambda function. This can make it more challenging to identify and troubleshoot errors. Named functions defined with def provide more meaningful tracebacks.

Using a def statements rather than assigning lambdas to variable is also recommended by PEP8.

How to fix it

Use function definition using def statement instead of assigning lambda to a variable.

Code examples

Noncompliant code example

def foo():
  multiply = lambda x, y: x * y # Noncompliant

Compliant solution

def foo():
  def multiply(x, y):
    return x * y
    ...

Resources

Documentation





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