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chnage verion number#4

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chnage verion number#4
Hellebore wants to merge 1 commit into
base-sha/056fd81be38b6328a282acc6d349405e4b208044from
head-sha/bc928a87d52b3db82f73988edcad09c2e76d3215/2024-07-08T11-06-18/786e30

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@Hellebore

@Hellebore Hellebore commented Jul 8, 2024

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Summary by Sourcery

This pull request updates the version number of the kalima package, incrementing it from 0.0.1 to 0.0.9. This change likely reflects recent developments or improvements in the package that warrant a version bump.

  • Chores:
    • Updated the package version from 0.0.1 to 0.0.9 in the init.py file.

@Hellebore

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This is an experiment review for experiment review_of_reviews_20240708
Run ID: review_of_reviews_20240708/run_2024-07-08T10-32-49_v1-20-0-7-ga5ec863c3-dirty
The benchmark review for this pull request can be found at #1.
This pull request was cloned from https://github.com/osama1998H/kalima/pull/39. (Note: the URL is not a link to avoid triggering a notification on the original pull request.)

Experiment configuration
review_config:
  # User configuration for the review
  # - benchmark - use the user config from the benchmark reviews
  # - <value> - use the value directly
  user_review_config:
    enable_ai_review: true
    enable_rule_comments: false

    enable_complexity_comments: benchmark
    enable_security_comments: benchmark
    enable_tests_comments: benchmark
    enable_comment_suggestions: benchmark
    enable_functionality_review: benchmark

    enable_pull_request_summary: benchmark
    enable_review_guide: benchmark

    enable_approvals: true

  ai_review_config:
    # The model responses to use for the experiment
    # - benchmark - use the model responses from the benchmark reviews
    # - llm - call the language model to generate responses
    model_responses:
      comments_model: llm
      comment_area_model: llm
      comment_validation_model: llm
      comment_suggestion_model: llm
      complexity_model: llm
      docstrings_model: llm
      functionality_model: llm
      security_model: llm
      tests_model: llm
      pull_request_summary_model: llm
      review_guide_model: llm
      documentation_model: llm
      overall_comments_model: llm

# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/mraniki/iamlistening/pull/334
- https://github.com/mraniki/cefi/pull/475
- https://github.com/mraniki/MyLLM/pull/581
- https://github.com/mraniki/dxsp/pull/689
- https://github.com/jschalk/jaar/pull/239
- https://github.com/jschalk/jaar/pull/241
- https://github.com/jschalk/jaar/pull/242
- https://github.com/iptux-src/iptux/pull/620
- https://github.com/iptux-src/iptux/pull/622
- https://github.com/hacksider/Deep-Live-Cam/pull/46
- https://github.com/mnbf9rca/super_simple_tfl_status/pull/114
- https://github.com/mnbf9rca/super_simple_tfl_status/pull/115
- https://github.com/RockProfile/Django-deployment/pull/1
- https://github.com/hbmartin/graphviz2drawio/pull/83
- https://github.com/fairdataihub/codefair-app/pull/28
- https://github.com/totaldebug/atomic-calendar-revive/pull/1518
- https://github.com/iammiracle01/portfolio/pull/1
- https://github.com/iammiracle01/portfolio/pull/2
- https://github.com/iammiracle01/portfolio/pull/3
- https://github.com/supermario-ai/gpt-crawler/pull/1
- https://github.com/hbmartin/graphviz2drawio/pull/84
- https://github.com/hbmartin/graphviz2drawio/pull/85
- https://github.com/dreamerminsk/tasked/pull/85
- https://github.com/dreamerminsk/tasked/pull/86
- https://github.com/dreamerminsk/tasked/pull/84
- https://github.com/haalasz/fm-tools/pull/9
- https://github.com/haalasz/fm-tools/pull/10
- https://github.com/iptux-src/iptux/pull/619
- https://github.com/code-Harsh247/medsymptom/pull/1
- https://github.com/code-Harsh247/medsymptom/pull/2
- https://github.com/cpp-lln-lab/bidspm/pull/1263
- https://github.com/cpp-lln-lab/bidspm/pull/1264
- https://github.com/cpp-lln-lab/bidspm/pull/1265
- https://github.com/luiscarlop/Judge_AI/pull/22
- https://github.com/NoNormalCreeper/nonebot_plugin_wolfram/pull/6
- https://github.com/osama1998H/kalima/pull/39
- https://github.com/osama1998H/kalima/pull/40
- https://github.com/osama1998H/kalima/pull/41
- https://github.com/jackdewinter/pymarkdown/pull/1131
- https://github.com/Eliver-Salazar/PED/pull/12
- https://github.com/NextAlone/Nagram/pull/40
- https://github.com/strawberry-graphql/strawberry-django/pull/575
- https://github.com/strawberry-graphql/strawberry/pull/3558
- https://github.com/strawberry-graphql/strawberry/pull/3559
- https://github.com/Ruin2121/yahooquery/pull/9
- https://github.com/gdsfactory/gdsfactory/pull/2951
- https://github.com/gdsfactory/gdsfactory/pull/2954
- https://github.com/gdsfactory/gdsfactory/pull/2956
- https://github.com/gdsfactory/gdsfactory/pull/2957
- https://github.com/gdsfactory/cspdk/pull/51
review_comment_labels:
- label: correct
  question: Is this comment correct?
- label: helpful
  question: Is this comment helpful?
- label: comment-type
  question: Is the comment type correct?
- label: comment-area
  question: Is the comment area correct?
- label: llm-test
  question: |
    What type of LLM test could this comment become?
    - 👍 - this comment is really good/important and we should always make it
    - 👎 - this comment is really bad and we should never make it
    - no reaction - don't turn this comment into an LLM test

# Benchmark reviews generated by running
#   python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews:
- dataset_pull_request: https://github.com/mraniki/iamlistening/pull/334
  review_pull_request: https://github.com/sourcery-ai-experiments/iamlistening/pull/35
- dataset_pull_request: https://github.com/mraniki/cefi/pull/475
  review_pull_request: https://github.com/sourcery-ai-experiments/cefi/pull/36
- dataset_pull_request: https://github.com/mraniki/MyLLM/pull/581
  review_pull_request: https://github.com/sourcery-ai-experiments/MyLLM/pull/4
- dataset_pull_request: https://github.com/mraniki/dxsp/pull/689
  review_pull_request: https://github.com/sourcery-ai-experiments/dxsp/pull/14
- dataset_pull_request: https://github.com/iptux-src/iptux/pull/620
  review_pull_request: https://github.com/sourcery-ai-experiments/iptux/pull/4
- dataset_pull_request: https://github.com/iptux-src/iptux/pull/622
  review_pull_request: https://github.com/sourcery-ai-experiments/iptux/pull/5
- dataset_pull_request: https://github.com/hacksider/Deep-Live-Cam/pull/46
  review_pull_request: https://github.com/sourcery-ai-experiments/Deep-Live-Cam/pull/2
- dataset_pull_request: https://github.com/mnbf9rca/super_simple_tfl_status/pull/114
  review_pull_request: https://github.com/sourcery-ai-experiments/super_simple_tfl_status/pull/1
- dataset_pull_request: https://github.com/mnbf9rca/super_simple_tfl_status/pull/115
  review_pull_request: https://github.com/sourcery-ai-experiments/super_simple_tfl_status/pull/2
- dataset_pull_request: https://github.com/hbmartin/graphviz2drawio/pull/83
  review_pull_request: https://github.com/sourcery-ai-experiments/graphviz2drawio/pull/1
- dataset_pull_request: https://github.com/iammiracle01/portfolio/pull/1
  review_pull_request: https://github.com/sourcery-ai-experiments/portfolio/pull/2
- dataset_pull_request: https://github.com/iammiracle01/portfolio/pull/2
  review_pull_request: https://github.com/sourcery-ai-experiments/portfolio/pull/1
- dataset_pull_request: https://github.com/iammiracle01/portfolio/pull/3
  review_pull_request: https://github.com/sourcery-ai-experiments/portfolio/pull/3
- dataset_pull_request: https://github.com/supermario-ai/gpt-crawler/pull/1
  review_pull_request: https://github.com/sourcery-ai-experiments/gpt-crawler/pull/1
- dataset_pull_request: https://github.com/hbmartin/graphviz2drawio/pull/84
  review_pull_request: https://github.com/sourcery-ai-experiments/graphviz2drawio/pull/2
- dataset_pull_request: https://github.com/dreamerminsk/tasked/pull/86
  review_pull_request: https://github.com/sourcery-ai-experiments/tasked/pull/14
- dataset_pull_request: https://github.com/dreamerminsk/tasked/pull/84
  review_pull_request: https://github.com/sourcery-ai-experiments/tasked/pull/15
- dataset_pull_request: https://github.com/haalasz/fm-tools/pull/9
  review_pull_request: https://github.com/sourcery-ai-experiments/fm-tools/pull/2
- dataset_pull_request: https://github.com/haalasz/fm-tools/pull/10
  review_pull_request: https://github.com/sourcery-ai-experiments/fm-tools/pull/3
- dataset_pull_request: https://github.com/iptux-src/iptux/pull/619
  review_pull_request: https://github.com/sourcery-ai-experiments/iptux/pull/6
- dataset_pull_request: https://github.com/code-Harsh247/medsymptom/pull/1
  review_pull_request: https://github.com/sourcery-ai-experiments/medsymptom/pull/1
- dataset_pull_request: https://github.com/code-Harsh247/medsymptom/pull/2
  review_pull_request: https://github.com/sourcery-ai-experiments/medsymptom/pull/2
- dataset_pull_request: https://github.com/NoNormalCreeper/nonebot_plugin_wolfram/pull/6
  review_pull_request: https://github.com/sourcery-ai-experiments/nonebot_plugin_wolfram/pull/1
- dataset_pull_request: https://github.com/osama1998H/kalima/pull/39
  review_pull_request: https://github.com/sourcery-ai-experiments/kalima/pull/1
- dataset_pull_request: https://github.com/osama1998H/kalima/pull/40
  review_pull_request: https://github.com/sourcery-ai-experiments/kalima/pull/2
- dataset_pull_request: https://github.com/osama1998H/kalima/pull/41
  review_pull_request: https://github.com/sourcery-ai-experiments/kalima/pull/3
- dataset_pull_request: https://github.com/jackdewinter/pymarkdown/pull/1131
  review_pull_request: https://github.com/sourcery-ai-experiments/pymarkdown/pull/9
- dataset_pull_request: https://github.com/Eliver-Salazar/PED/pull/12
  review_pull_request: https://github.com/sourcery-ai-experiments/PED/pull/3
- dataset_pull_request: https://github.com/NextAlone/Nagram/pull/40
  review_pull_request: https://github.com/sourcery-ai-experiments/Nagram/pull/1
- dataset_pull_request: https://github.com/strawberry-graphql/strawberry-django/pull/575
  review_pull_request: https://github.com/sourcery-ai-experiments/strawberry-django/pull/2
- dataset_pull_request: https://github.com/strawberry-graphql/strawberry/pull/3558
  review_pull_request: https://github.com/sourcery-ai-experiments/strawberry/pull/13
- dataset_pull_request: https://github.com/strawberry-graphql/strawberry/pull/3559
  review_pull_request: https://github.com/sourcery-ai-experiments/strawberry/pull/14
- dataset_pull_request: https://github.com/Ruin2121/yahooquery/pull/9
  review_pull_request: https://github.com/sourcery-ai-experiments/yahooquery/pull/1

@SourceryAI

SourceryAI commented Jul 8, 2024

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Reviewer's Guide by Sourcery

This pull request implements a version number update for the project. The change is made in the kalima/init.py file, where the version variable is modified from "0.0.1" to "0.0.9". This is a simple, straightforward change that affects only one line of code but is crucial for version tracking and management of the project.

File-Level Changes

Files Changes
kalima/__init__.py Version number updated from 0.0.1 to 0.0.9

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Hey @Hellebore - I've reviewed your changes and they look great!

Here's what I looked at during the review
  • 🟡 General issues: 1 issue found
  • 🟢 Security: all looks good
  • 🟢 Testing: all looks good
  • 🟢 Complexity: all looks good
  • 🟢 Documentation: all looks good

LangSmith trace

Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.

Comment thread kalima/__init__.py
@@ -1 +1 @@
__version__ = "0.0.1"

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suggestion: Consider using semantic versioning for version increments

The jump from 0.0.1 to 0.0.9 is unusual. Semantic versioning (MAJOR.MINOR.PATCH) might be more appropriate for tracking changes.

Suggested change
__version__ = "0.0.1"
__version__ = "0.1.0"

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Is this comment correct?

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Is this comment helpful?

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Is the comment type correct?

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Is the comment area correct?

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What type of LLM test could this comment become?

  • 👍 - this comment is really good/important and we should always make it
  • 👎 - this comment is really bad and we should never make it
  • no reaction - don't turn this comment into an LLM test

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3 participants