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

style: format code with Black and isort #267

Closed
wants to merge 1 commit into from

Conversation

deepsource-autofix[bot]
Copy link
Contributor

@deepsource-autofix deepsource-autofix bot commented Dec 5, 2024

This commit fixes the style issues introduced in 1fbadeb according to the output
from Black and isort.

Details: #264

Summary by Sourcery

Enhancements:

  • Reformat code using Black and isort to improve code style consistency.

This commit fixes the style issues introduced in 1fbadeb according to the output
from Black and isort.

Details: #264
Copy link

semanticdiff-com bot commented Dec 5, 2024

Review changes with  SemanticDiff

Changed Files
File Status
  pygeoif/geometry.py  100% smaller
  pygeoif/factories.py  0% smaller

Copy link

coderabbitai bot commented Dec 5, 2024

Important

Review skipped

Bot user detected.

To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.


🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link
Contributor

sourcery-ai bot commented Dec 5, 2024

Reviewer's Guide by Sourcery

This PR applies code formatting changes using Black and isort. The changes primarily involve line wrapping adjustments in list comprehensions and generator expressions, along with minor whitespace modifications.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change Details Files
Reformatted list comprehensions and generator expressions
  • Moved line continuations to the end of the line instead of the beginning of the next line
  • Maintained noqa comments while adjusting line wrapping
pygeoif/geometry.py
Added whitespace adjustment
  • Added a blank line before function definition
pygeoif/factories.py

Tips and commands

Interacting with Sourcery

  • Trigger a new review: Comment @sourcery-ai review on the pull request.
  • Continue discussions: Reply directly to Sourcery's review comments.
  • Generate a GitHub issue from a review comment: Ask Sourcery to create an
    issue from a review comment by replying to it.
  • Generate a pull request title: Write @sourcery-ai anywhere in the pull
    request title to generate a title at any time.
  • Generate a pull request summary: Write @sourcery-ai summary anywhere in
    the pull request body to generate a PR summary at any time. You can also use
    this command to specify where the summary should be inserted.

Customizing Your Experience

Access your dashboard to:

  • Enable or disable review features such as the Sourcery-generated pull request
    summary, the reviewer's guide, and others.
  • Change the review language.
  • Add, remove or edit custom review instructions.
  • Adjust other review settings.

Getting Help

Copy link

what-the-diff bot commented Dec 5, 2024

PR Summary

  • Improvement in Code Readability
    This update simplifies a part of the code related to geometry processing. The update removes unnecessary breaks in the code, making it easier for developers to read and understand. This does not change what the code does but enhances the usability for the team.

Copy link
Contributor

@sourcery-ai sourcery-ai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

We have skipped reviewing this pull request. It seems to have been created by a bot (hey, deepsource-autofix[bot]!). We assume it knows what it's doing!

Copy link

codiumai-pr-agent-free bot commented Dec 5, 2024

CI Failure Feedback 🧐

(Checks updated until commit 9ba5d84)

Action: static-tests (3.11)

Failed stage: Typecheck [❌]

Failed test name: ""

Failure summary:

The action failed because a static type checking tool (likely mypy) detected an unreachable
statement in the file pygeoif/factories.py at line 95. This is considered an error and caused the
process to exit with code 1.

Relevant error logs:
1:  ##[group]Operating System
2:  Ubuntu
...

369:  env:
370:  pythonLocation: /opt/hostedtoolcache/Python/3.11.10/x64
371:  PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.11.10/x64/lib/pkgconfig
372:  Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.10/x64
373:  Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.10/x64
374:  Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.11.10/x64
375:  LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.11.10/x64/lib
376:  ##[endgroup]
377:  pygeoif/factories.py:95: error: Statement is unreachable  [unreachable]
378:  Found 1 error in 1 file (checked 35 source files)
379:  ##[error]Process completed with exit code 1.

✨ CI feedback usage guide:

The CI feedback tool (/checks) automatically triggers when a PR has a failed check.
The tool analyzes the failed checks and provides several feedbacks:

  • Failed stage
  • Failed test name
  • Failure summary
  • Relevant error logs

In addition to being automatically triggered, the tool can also be invoked manually by commenting on a PR:

/checks "https://github.com/{repo_name}/actions/runs/{run_number}/job/{job_number}"

where {repo_name} is the name of the repository, {run_number} is the run number of the failed check, and {job_number} is the job number of the failed check.

Configuration options

  • enable_auto_checks_feedback - if set to true, the tool will automatically provide feedback when a check is failed. Default is true.
  • excluded_checks_list - a list of checks to exclude from the feedback, for example: ["check1", "check2"]. Default is an empty list.
  • enable_help_text - if set to true, the tool will provide a help message with the feedback. Default is true.
  • persistent_comment - if set to true, the tool will overwrite a previous checks comment with the new feedback. Default is true.
  • final_update_message - if persistent_comment is true and updating a previous checks message, the tool will also create a new message: "Persistent checks updated to latest commit". Default is true.

See more information about the checks tool in the docs.

Copy link

github-actions bot commented Dec 5, 2024

Preparing review...

Copy link

github-actions bot commented Dec 5, 2024

Failed to generate code suggestions for PR

Copy link

github-actions bot commented Dec 5, 2024

Preparing review...

Copy link

@llamapreview llamapreview bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Auto Pull Request Review from LlamaPReview

1. Overview

1.1 PR Summary

  • Business value and requirements alignment: This PR enhances code readability and maintainability by reformatting the code using Black and isort, aligning with long-term maintenance goals.
  • Key components modified: The changes primarily affect the pygeoif/factories.py and pygeoif/geometry.py files.
  • Impact assessment: Minimal cross-component impacts as the changes are mostly stylistic.
  • System dependencies and integration impacts: No significant dependencies or integration impacts.

1.2 Architecture Changes

  • System design modifications: None.
  • Component interactions: No changes to component interactions.
  • Integration points: No new integration points introduced.

2. Detailed Technical Analysis

2.1 Code Logic Deep-Dive

Core Logic Changes

pygeoif/factories.py - Function: rectangular_polygon

  • Submitted PR Code:
    if not ccw:
        coords.reverse()
    return Polygon(coords)
    if not ccw:
        coords.reverse()
  • Analysis:
    • Current logic and potential issues: The duplicate if not ccw: block is unreachable and should be removed. This is a critical issue as it will cause the static type checker to fail.
    • Edge cases and error handling: This unreachable code does not handle any edge cases or errors, but it will cause a static analysis error, which can halt the CI pipeline.
    • Cross-component impact: Minimal cross-component impacts as the changes are mostly stylistic.
    • Business logic considerations: Enhances code readability and maintainability, which aligns with the long-term maintenance goals.
  • LlamaPReview Suggested Improvements:
    if not ccw:
        coords.reverse()
    return Polygon(coords)
  • Improvement rationale:
    • Technical benefits: Removes unreachable code, which will fix the static type checking error.
    • Business value: Ensures the codebase remains clean and maintainable.
    • Risk assessment: Low risk as it only removes redundant code.

pygeoif/geometry.py - Property: _wkt_coords

  • Submitted PR Code:
    ec = self.exterior._wkt_coords  # noqa: SLF001
    ic = "".join(
        f",({interior._wkt_coords})" for interior in self.interiors  # noqa: SLF001
    )
  • Analysis:
    • Current logic and potential issues: The code has been reformatted to improve readability.
    • Edge cases and error handling: No functional changes, so no impact on business logic.
    • Cross-component impact: Minimal cross-component impacts as the changes are mostly stylistic.
    • Business logic considerations: Enhances code readability and maintainability, which aligns with the long-term maintenance goals.
  • LlamaPReview Suggested Improvements: None needed.
  • Improvement rationale:
    • Technical benefits: Improved code readability.
    • Business value: Enhances maintainability.
    • Risk assessment: No risk as it is purely a stylistic change.

Cross-cutting Concerns

  • Data flow analysis: No changes to data flow.
  • State management implications: No changes to state management.
  • Error propagation paths: No changes to error propagation paths.
  • Edge case handling across components: No new edge cases introduced.

Algorithm & Data Structure Analysis

  • Complexity analysis: No changes to algorithm complexity.
  • Performance implications: No performance implications.
  • Memory usage considerations: No changes to memory usage.

2.2 Implementation Quality

  • Code organization and structure: The code is well-organized, and the changes do not affect the modularity.
  • Design patterns usage: No design patterns are affected by these changes.
  • Error handling approach: No changes to error handling.
  • Resource management: No changes to resource management.

3. Critical Findings

3.1 Potential Issues

  • 🔴 Critical Issues

    • Issue description: Unreachable code in pygeoif/factories.py.
    • Impact:
      • Technical implications: Causes static type checking to fail.
      • Business consequences: Delays in deployment due to failed CI checks.
      • User experience effects: None.
    • Recommendation:
      • Specific code changes: Remove the unreachable code block.
      • Configuration updates: None.
      • Testing requirements: Re-run static type checks.
  • 🟡 Warnings

    • Warning description: None identified.
    • Potential risks: None.
    • Suggested improvements: None.

3.2 Code Quality Concerns

  • Maintainability aspects: Improved due to better code formatting.
  • Readability issues: Improved code readability.
  • Performance bottlenecks: None identified.

4. Security Assessment

  • Authentication/Authorization impacts: None.
  • Data handling concerns: None.
  • Input validation: None.
  • Security best practices: None.
  • Potential security risks: None.
  • Mitigation strategies: None.
  • Security testing requirements: None.

5. Testing Strategy

5.1 Test Coverage

  • Unit test analysis: Ensure all reformatted code passes existing unit tests.
  • Integration test requirements: No new integration tests required.
  • Edge cases coverage: No new edge cases introduced.

5.2 Test Recommendations

Suggested Test Cases

# No new test cases required as the changes are purely stylistic.
  • Coverage improvements: Maintain existing coverage.
  • Performance testing needs: None.

6. Documentation & Maintenance

  • Documentation updates needed: None.
  • Long-term maintenance considerations: Improved maintainability due to better code formatting.
  • Technical debt and monitoring requirements: None.

7. Deployment & Operations

  • Deployment impact and strategy: No significant deployment impacts.
  • Key operational considerations: None.

8. Summary & Recommendations

8.1 Key Action Items

  1. Critical changes required:

    • Remove unreachable code in pygeoif/factories.py to fix static type checking errors.
  2. Important improvements suggested: None identified.

  3. Best practices to implement: None identified.

  4. Cross-cutting concerns to address: None identified.

8.2 Future Considerations

  • Technical evolution path: Continue to improve code readability and maintainability.
  • Business capability evolution: Enhance long-term maintenance goals.
  • System integration impacts: None.

💡 LlamaPReview Community
Have feedback on this AI Code review tool? Join our GitHub Discussions to share your thoughts and help shape the future of LlamaPReview.

Copy link

codecov bot commented Dec 5, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 100.00%. Comparing base (1fbadeb) to head (9ba5d84).
Report is 1 commits behind head on develop.

Additional details and impacted files
@@            Coverage Diff            @@
##           develop      #267   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           32        32           
  Lines         2706      2706           
  Branches        91        91           
=========================================
  Hits          2706      2706           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

@cleder cleder closed this Dec 5, 2024
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