Warn when abstract or protocol type is assigned to a callable #10
Conversation
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Diff from mypy_primer, showing the effect of this PR on open source code: ignite (https://github.com/pytorch/ignite)
+ ignite/contrib/handlers/param_scheduler.py:44: error: Can only assign concrete classes to a variable of type "Type[ParamScheduler]" [misc]
+ ignite/contrib/handlers/param_scheduler.py:46: error: Can only assign concrete classes to a variable of type "Type[CyclicalScheduler]" [misc]
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This is interesting 🤔 from ignite.handlers.param_scheduler import (
ParamScheduler,
)
ParamScheduler = ParamSchedulerWhere I think that this should be fine. It does not look like an issue to me. I am also ok if others are fine with ignoring it. |
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Diff from mypy_primer, showing the effect of this PR on open source code: ignite (https://github.com/pytorch/ignite)
+ ignite/contrib/handlers/param_scheduler.py:44: error: Can only assign concrete classes to a variable of type "Type[ParamScheduler]" [misc]
+ ignite/contrib/handlers/param_scheduler.py:46: error: Can only assign concrete classes to a variable of type "Type[CyclicalScheduler]" [misc]
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Yeah, I think that this should be allowed. Maybe check if the lvalue and rvalue refer to the same node, and skip the concreteness check in this case? The assignment will be a no-op. |
WalkthroughThis change refactors the logic in the Changes
Sequence Diagram(s)sequenceDiagram
participant User as User
participant TypeChecker as TypeChecker
participant check_concrete_only_assign as check_concrete_only_assign
User->>TypeChecker: check_assignment(lvalue_type, lvalue, rvalue_type, rvalue)
TypeChecker->>check_concrete_only_assign: check_concrete_only_assign(lvalue_type, lvalue, rvalue_type, rvalue)
check_concrete_only_assign-->>TypeChecker: (True/False)
alt Assignment not allowed
TypeChecker-->>User: Return early (error emitted)
else Assignment allowed
TypeChecker->>User: Continue with assignment check
end
Poem
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Done! |
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According to mypy_primer, this change has no effect on the checked open source code. 🤖🎉 |
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Hello @arvi18, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
Summary of Changes
This pull request addresses issue python#13171 by adding a warning when an abstract or protocol type is assigned to a callable. The changes modify mypy/checker.py to include a check that emits an error when this type of assignment occurs. Additionally, new test cases are added to test-data/unit/check-abstract.test and test-data/unit/check-protocols.test to verify the new warning.
Highlights
- New Warning: Introduces a warning when assigning an abstract or protocol type to a callable, mirroring the behavior of
Type[AbstractOrProtocol]. - Code Refactoring: Refactors the
check_assignmentfunction inmypy/checker.pyto use a new helper functioncheck_concrete_only_assignfor checking concrete assignments. - New Test Cases: Adds new test cases to
test-data/unit/check-abstract.testandtest-data/unit/check-protocols.testto cover the new warning scenario.
Changelog
- mypy/checker.py
- Refactors
check_assignmentto extract the logic for checking concrete-only assignments into a new functioncheck_concrete_only_assign. - Adds a check within
check_concrete_only_assignto warn when an abstract or protocol type is assigned to a callable. - Adds a condition to allow reassigning an abstract class to itself (e.g.,
A = A).
- Refactors
- test-data/unit/check-abstract.test
- Adds a new test case
testInstantiationAbstractsWithCallablesto verify the warning for abstract types assigned to callables.
- Adds a new test case
- test-data/unit/check-protocols.test
- Adds a new test case
testInstantiationProtocolWithCallablesto verify the warning for protocol types assigned to callables.
- Adds a new test case
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A callable's plight,
Abstract types cause a fright,
Concrete's the key,
For functions to be,
Error's gone, code shines bright.
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Code Review
The pull request introduces a new check in mypy to warn when an abstract or protocol type is assigned to a callable, aligning the semantics with Type[AbstractOrProtocol]. The changes include modifications to mypy/checker.py and additions to test-data/unit/check-abstract.test and test-data/unit/check-protocols.test to incorporate the new functionality and test cases. Overall, the changes seem well-structured and address the intended issue.
Summary of Findings
- Code Duplication: The logic for checking concrete-only assignments is duplicated within the
check_assignmentmethod. Extracting this logic into a separate, reusable function would improve maintainability and reduce redundancy. - Clarity of Conditionals: The conditional logic in
check_concrete_only_assigncould be simplified for better readability. Consider using intermediate variables with descriptive names to clarify the conditions being checked. - Missing Error Code: The error message
concrete_only_assignincheck_concrete_only_assignis missing an associated error code. Adding an error code would improve the ability to filter and manage these errors.
Merge Readiness
The pull request introduces a valuable new check. However, addressing the identified issues related to code duplication, conditional clarity, and the missing error code would further enhance the quality and maintainability of the code. I recommend addressing these points before merging. I am unable to directly approve this pull request, and recommend that others review and approve this code before merging.
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✅ Actions performedFull review triggered. |
Now
Callable[[], AbstractOrProtocol]has the same semantics asType[AbstractOrProtocol].I don't think we need to test for
@overloadhere, because you cannot have inline@overloadannotation.Closes python#13171
Summary by CodeRabbit
Refactor
Tests