REFACTOR-#7242: Add type hints for modin/core/dataframe/algebra/
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Signed-off-by: Anatoly Myachev <[email protected]>
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Clone of the PR modin-project/modin#7243 |
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My review is in progress 📖 - I will have feedback for you in a few minutes! |
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| if reduce_function is None: | ||
| reduce_function = map_function |
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When reduce_function is None, it's set to map_function. However, map_function is typed to return a pandas.DataFrame, while reduce_function should return a pandas.Series. This type inconsistency could lead to runtime errors. Consider adding a runtime check or adjusting the type hints to ensure type consistency in this case.
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| def register( | ||
| cls, map_function, reduce_function=None, axis=None, compute_dtypes=None | ||
| ): | ||
| cls, | ||
| map_function: Optional[Callable[..., pandas.DataFrame]], | ||
| reduce_function: Optional[Callable[..., pandas.Series]] = None, | ||
| axis: Optional[int] = None, | ||
| compute_dtypes: Optional[Callable[..., DtypeObj]] = None, | ||
| ) -> Callable[..., PandasQueryCompiler]: |
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The map_function parameter is defined as optional, but the method doesn't handle the case where it could be None. This might lead to runtime errors if None is passed. Consider adding a check at the beginning of the register method to ensure map_function is not None, raising a ValueError if it is.
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| @@ -155,7 +164,7 @@ def maybe_compute_dtypes_common_cast( | |||
| ], | |||
| index=common_columns, | |||
| ) | |||
| dtypes = pandas.concat( | |||
| dtypes: pandas.Series = pandas.concat( | |||
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The type hint for the dtypes variable in the maybe_compute_dtypes_common_cast function is redundant because the type is already inferred from the assignment. Please remove the explicit type hint to avoid redundancy and improve readability.
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| @@ -124,6 +130,9 @@ class BaseQueryCompiler( | |||
| for a list of requirements for subclassing this object. | |||
| """ | |||
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| _modin_frame: PandasDataframe | |||
| _shape_hint: Optional[str] | |||
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The type hint for '_shape_hint' is not specific enough. Using 'Optional[str]' does not convey the possible values it can take. Please update it to a more specific type that includes the possible values it can take, such as 'Optional[Literal['row', 'column', None]]'.
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What do these changes do?
flake8 modin/ asv_bench/benchmarks scripts/doc_checker.pyblack --check modin/ asv_bench/benchmarks scripts/doc_checker.pygit commit -sdocs/development/architecture.rstis up-to-dateDescription by Korbit AI
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What change is being made?
Add type hints to the
modin/core/dataframe/algebra/module.Why are these changes being made?
These changes improve code readability and maintainability by providing explicit type information, which helps in catching type-related errors early and aids in code comprehension. This is part of an ongoing effort to enhance the overall code quality and developer experience.