FEAT-#7252: Add type hints for base.py

[korbit-ai]

What do these changes do?

• first commit message and PR title follow format outlined here

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• passes flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
• passes black --check modin/ asv_bench/benchmarks scripts/doc_checker.py
• signed commit with git commit -s
• Resolves #7252
• tests added and passing
• module layout described at docs/development/architecture.rst is up-to-date

Description by Korbit AI

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What change is being made?

Add type hints for base.py and update related methods in dataframe.py and series.py.

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 better code comprehension.

Summary by CodeRabbit

• New Features

  • Improved type hints for several methods, enhancing clarity and usability.
  • Expanded return types in methods, allowing for more flexible outputs (e.g., Series, Scalar).

• Bug Fixes

  • Adjusted return types for the _reduce_dimension method in multiple files, ensuring more accurate type handling.

• Documentation

  • Enhanced method signatures for better readability and understanding.

[korbit-ai]

Clone of the PR modin-project/modin#7253

[korbit-ai]

My review is in progress 📖 - I will have feedback for you in a few minutes!

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

The recent changes across the Modin library introduce improved type annotations for methods within the BasePandasDataset, dataframe.py, and series.py. These enhancements focus on better type safety and clarity, specifying expected input and output types more explicitly. New abstract methods also promote structured development, while adjustments in return types allow for greater flexibility in handling results, ultimately improving usability and maintainability.

Changes

Files	Change Summary
modin/pandas/base.py	Added type hints to methods in BasePandasDataset, improving return type clarity (e.g., Self, DataFrame, Series, Scalar). Introduced new abstract method _reduce_dimension.
modin/pandas/dataframe.py	Updated _reduce_dimension method signature to specify BaseQueryCompiler as input and return type as Union[Series, Scalar].
modin/pandas/series.py	Modified _reduce_dimension to return Union[Series, Scalar], enhancing the method's output flexibility.

Sequence Diagram(s)

sequenceDiagram
    participant A as User
    participant B as BasePandasDataset
    participant C as QueryCompiler

    A->>B: Call method with data
    B->>C: Process query with BaseQueryCompiler
    C->>B: Return result (Series/Scalar)
    B->>A: Return processed data

Loading

🐇 In code's quiet glen,
Types now dance, a lively pen.
Clarity reigns, no more strife,
Each method sings with new life!
With notes of structure, we embrace,
A future bright, a joyful space. 🎉

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[korbit-ai]

I have reviewed your code and did not find any issues!

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Please note that I can make mistakes, and you should still encourage your team to review your code as well.

[furwellness]

/review

[codiumai-pr-agent-free]

PR Reviewer Guide 🔍

⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Key issues to review Type Annotations The PR adds extensive type annotations to the BasePandasDataset class and its methods. These should be carefully reviewed for correctness and consistency. Abstract Methods New abstract methods have been added (e.g., _create_or_update_from_compiler and _reduce_dimension). Ensure these are implemented correctly in subclasses. Return Type Changes Many methods now have explicit return type annotations. These should be verified to ensure they match the actual return types and don't introduce any inconsistencies. Method Implementation The _reduce_dimension method has been implemented for DataFrame. Verify that it correctly handles the reduction of dimensions. Return Type Change The return type of _reduce_dimension for Series has been changed to Union[Series, Scalar]. Ensure this change is correct and doesn't break existing functionality.

[furwellness]

@coderabbitai review

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