Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

test: Add unit test for pydumpling/fake_types.py #46

Open
wants to merge 1 commit into
base: main
Choose a base branch
from

Conversation

gru-agent[bot]
Copy link

@gru-agent gru-agent bot commented Feb 26, 2025

Trigger Info

Trigger Type Triggered By Source File Assignment
Manual cocolato pydumpling/fake_types.py Detail

Summary

This PR introduces a comprehensive suite of unit tests for the FakeType, FakeTraceback, FakeFrame, FakeClass, and FakeCode classes in the pydumpling.fake_types module. The tests ensure the correctness of the functionality and behavior of these classes, including their initialization, attribute handling, and utility methods.

Key Changes:

  • Test Coverage for FakeTraceback:

    • Tests for initialization with and without a mock traceback object.

    • Validation of attributes like tb_frame, tb_lineno, tb_next, and tb_lasti.

  • Test Coverage for FakeFrame:

    • Tests for initialization with a mock frame object.

    • Validation of attributes like f_code, f_globals, f_lineno, f_back, f_lasti, and f_builtins.

  • Test Coverage for FakeCode:

    • Tests for initialization with a mock code object.

    • Validation of attributes like co_filename, co_name, co_argcount, co_consts, co_firstlineno, co_lnotab, co_varnames, co_flags, and co_code.

    • Tests for handling co_lines, co_kwonlyargcount, and co_positions.

  • Utility Method Tests:

    • _safe_repr: Ensures safe handling of objects that raise exceptions in their __repr__ method.

    • _convert: Tests for converting various types of objects, including sequences and dictionaries.

    • _convert_dict: Tests for converting dictionaries with simple and complex keys.

Fixtures:

  • Added reusable pytest fixtures for mock traceback, frame, and code objects to streamline test setup.

These tests enhance the reliability of the pydumpling.fake_types module by verifying its behavior under various scenarios and edge cases.

Tip

You can @gru-agent and leave your feedback. TestGru will make adjustments based on your input

Tip

You can @gru-agent rebase to rebase the PR.

Tip

You can @gru-agent redo to reset or rebase before redoing the PR.

Tip

To modify the test code yourself, click here Edit Test Code

@gru-agent gru-agent bot requested a review from cocolato February 26, 2025 11:39
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant