Skip to content

Conversation

@jan-janssen
Copy link
Member

@jan-janssen jan-janssen commented May 7, 2024

Summary by CodeRabbit

  • New Features
    • Added a new parameter max_workers to the Executor class, enabling users to define the number of cores for parallel processing.
  • Enhancements
    • Enhanced core validation to recommend using max_cores over max_workers for optimal resource utilization.
  • Tests
    • Updated tests to align with modifications in the Executor class, ensuring the accuracy and effectiveness of parallel execution functionality.

@jan-janssen jan-janssen linked an issue May 7, 2024 that may be closed by this pull request
@coderabbitai
Copy link
Contributor

coderabbitai bot commented May 7, 2024

Walkthrough

The recent updates in the pympipool library involve adjustments across multiple files to improve the management of worker threads in parallel computing environments. The primary change introduces the max_workers parameter and recommends using max_cores for better alignment with standard thread management practices.

Changes

File Path Change Summary
pympipool/__init__.py Added max_workers parameter to Executor class, suggesting the use of max_cores.
pympipool/scheduler/__init__.py Introduced validate_number_of_cores function and updated create_executor to utilize max_workers.
pympipool/shared/inputcheck.py Added validate_number_of_cores function definition.

Possibly related issues

  • Issue Signature no longer conforms to Process/ThreadPoolExecutor #328: The user requests reverting the parameter name from max_cores to max_workers to align with the standard library. The recent changes in the PR, which reintroduce max_workers, might address this concern by ensuring consistency with Python's ProcessPoolExecutor and ThreadPoolExecutor.

🐰✨
A tiny hop in code, a giant leap for functionality,
From cores to workers, we redefine the flow,
Threads align, and systems glow,
In the burrow of bytes, we watch it grow!
🌟🚀🐇


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share
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>.
    • 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 generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @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.

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 as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger a review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration 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.

@jan-janssen jan-janssen requested a review from liamhuber May 7, 2024 00:29
Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

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

Actionable comments posted: 1

Out of diff range and nitpick comments (2)
pympipool/scheduler/__init__.py (1)

40-40: The inclusion of max_workers in the create_executor function aligns with the new functionality. Consider enhancing the documentation to explain how max_workers and max_cores interact, especially since max_workers also defines the number of cores.

pympipool/__init__.py (1)

Line range hint 4-5: The imports SubprocessExecutor and ShellExecutor are unused. Consider removing them, adding them to __all__, or using a redundant alias if they are meant to be part of the public API.

- from pympipool.shell.executor import SubprocessExecutor
- from pympipool.shell.interactive import ShellExecutor
+ # from pympipool.shell.executor import SubprocessExecutor  # Uncomment if used
+ # from pympipool.shell.interactive import ShellExecutor  # Uncomment if used
Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits Files that changed from the base of the PR and between 0e758f1 and ccd526a.
Files selected for processing (4)
  • pympipool/init.py (4 hunks)
  • pympipool/scheduler/init.py (4 hunks)
  • pympipool/shared/inputcheck.py (1 hunks)
  • tests/test_executor_backend_mpi.py (1 hunks)
Additional Context Used
Ruff (2)
pympipool/__init__.py (2)

4-4: pympipool.shell.executor.SubprocessExecutor imported but unused; consider removing, adding to __all__, or using a redundant alias


5-5: pympipool.shell.interactive.ShellExecutor imported but unused; consider removing, adding to __all__, or using a redundant alias

Additional comments not posted (2)
tests/test_executor_backend_mpi.py (1)

46-46: The update to use max_workers aligns with the new parameter introduced in the Executor class. Ensure backward compatibility with older versions if necessary.

pympipool/__init__.py (1)

70-70: The update to include max_workers in the Executor class is well-implemented. Ensure that all dependent code is updated to handle this new parameter.

Verification successful

The update to include max_workers in the Executor class is well-implemented. Ensure that all dependent code is updated to handle this new parameter.

Scripts Executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that all dependent code is updated to handle the new `max_workers` parameter.

# Test: Search for usage of the `Executor` class. Expect: All usages should handle the new parameter.
rg --type python $'Executor' --exec cat {}

Length of output: 452



Script:

#!/bin/bash
# Description: Corrected script to verify that all dependent code is updated to handle the new `max_workers` parameter.

# Search for usage of the `Executor` class and display the contents of the files where it is used.
rg --type python 'Executor' | xargs cat

Length of output: 70



Script:

#!/bin/bash
# Description: Corrected script to verify that all dependent code is updated to handle the new `max_workers` parameter.

# Search for usage of the `Executor` class and display the contents of the files where it is used.
rg 'Executor' | xargs cat

Length of output: 42877



Script:

#!/bin/bash
# Description: Corrected script to verify that all dependent code is updated to handle the new `max_workers` parameter.

# Search for usage of the `Executor` class and display the contents of the files where it is used, ensuring proper handling of file paths.
rg 'Executor' --files-with-matches | xargs cat

Length of output: 176761

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

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

Actionable comments posted: 0

Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits Files that changed from the base of the PR and between ccd526a and a7c25dd.
Files selected for processing (1)
  • pympipool/shared/inputcheck.py (1 hunks)
Files skipped from review as they are similar to previous changes (1)
  • pympipool/shared/inputcheck.py

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

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

Actionable comments posted: 0

Out of diff range and nitpick comments (1)
pympipool/__init__.py (1)

Line range hint 4-5: Consider removing the unused imports SubprocessExecutor and ShellExecutor, or if they are intended for future use, add them to __all__ to clarify their purpose.

- from pympipool.shell.executor import SubprocessExecutor
- from pympipool.shell.interactive import ShellExecutor
Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits Files that changed from the base of the PR and between ccd526a and 6172507.
Files selected for processing (2)
  • pympipool/init.py (6 hunks)
  • pympipool/shared/inputcheck.py (1 hunks)
Files skipped from review as they are similar to previous changes (1)
  • pympipool/shared/inputcheck.py
Additional Context Used
Ruff (2)
pympipool/__init__.py (2)

4-4: pympipool.shell.executor.SubprocessExecutor imported but unused; consider removing, adding to __all__, or using a redundant alias


5-5: pympipool.shell.interactive.ShellExecutor imported but unused; consider removing, adding to __all__, or using a redundant alias

Additional comments not posted (2)
pympipool/__init__.py (2)

70-70: The addition of max_workers in the __init__ method aligns well with the PR objectives and maintains backward compatibility.


91-91: The updates to the __new__ method, including the addition of max_workers, are correctly implemented and support the intended functionality.

Copy link
Member

@liamhuber liamhuber left a comment

Choose a reason for hiding this comment

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

Yeah, that lgtm.

I thought about it over dinner, and I had considered setting the default of both to None; then in your validation you can raise a hard error if both are non-None, and if both are None default to 1. It's just a matter of preference for how strict you want to be.

@jan-janssen jan-janssen merged commit 2288e1f into main May 7, 2024
@jan-janssen jan-janssen deleted the max_workers branch May 7, 2024 01:41
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.

Signature no longer conforms to Process/ThreadPoolExecutor

3 participants