Add ar

[sourcery-ai-experiments-bot]

No description provided.

[sourcery-ai-experiments-bot]

This is a benchmark review for experiment review_of_reviews_20240423.
Run ID: review_of_reviews_20240423/benchmark_2024-04-23T16-37-59_v1-16-0-177-gfebff3a45.

This pull request was cloned from https://github.com/jquagga/ttt/pull/78. (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_config:
    enable_ai_review: true
    enable_rule_comments: false

    enable_complexity_comments: benchmark
    enable_docstring_comments: benchmark
    enable_security_comments: benchmark
    enable_tests_comments: benchmark
    enable_comment_suggestions: 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: benchmark
      comment_validation_model: benchmark
      comment_suggestion_model: benchmark
      complexity_model: benchmark
      docstrings_model: benchmark
      security_model: benchmark
      tests_model: benchmark

# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/Idrinth/api-bench/pull/874
- https://github.com/osama1998H/spms/pull/56
- https://github.com/shreejitverma/MScFE690-Capstone/pull/7
- https://github.com/Idrinth/api-bench/pull/870
- https://github.com/DevCycleHQ/test-harness/pull/414
- https://github.com/aboutmydreams/aiis.read/pull/16
- https://github.com/osism/python-osism/pull/869
- https://github.com/usama-maxenius/image-editor/pull/75
- https://github.com/gdsfactory/kfactory/pull/300
- https://github.com/2lambda123/kwenta/pull/50
- https://github.com/usama-maxenius/image-editor/pull/74
- https://github.com/itzlayz/teagram-tl/pull/22
- https://github.com/jquagga/ttt/pull/75
- https://github.com/okisdev/ChatChat/pull/319
- https://github.com/jquagga/ttt/pull/67
- https://github.com/simnova/ownercommunity/pull/75
- https://github.com/W-zrd/unishare_mobile/pull/6
- https://github.com/albumentations-team/albumentations/pull/1679
- https://github.com/osama1998H/spms/pull/57
- https://github.com/jquagga/ttt/pull/77
- https://github.com/jquagga/ttt/pull/78
- https://github.com/gdsfactory/kfactory/pull/298
- https://github.com/DevCycleHQ/flutter-client-sdk/pull/140
- https://github.com/wassupluke/recipe-emailer/pull/20
- https://github.com/simnova/ownercommunity/pull/73
- https://github.com/okisdev/ChatChat/pull/323
- https://github.com/yelinaung/advent_of_code_2023/pull/8
- https://github.com/usama-maxenius/image-editor/pull/72
- https://github.com/fairdataihub/fairdataihub.org/pull/620
- https://github.com/gdsfactory/gdsfactory/pull/2694
- https://github.com/wassupluke/recipe-emailer/pull/15
- https://github.com/Remi-Gau/nilearn/pull/50
- https://github.com/wassupluke/recipe-emailer/pull/21
- https://github.com/usama-maxenius/image-editor/pull/73
- https://github.com/DevCycleHQ/go-server-sdk/pull/248
- https://github.com/jquagga/ttt/pull/76
- https://github.com/jquagga/ttt/pull/70
- https://github.com/W-zrd/unishare_mobile/pull/7
- https://github.com/usama-maxenius/image-editor/pull/76
- https://github.com/CPUT-DEVS/devpost-hackathon/pull/31
- https://github.com/jquagga/ttt/pull/79
- https://github.com/edsonportosilva/OptiCommPy/pull/22
- https://github.com/jquagga/ttt/pull/73
- https://github.com/gdsfactory/kfactory/pull/301
- https://github.com/Bilbottom/grid-hooks/pull/7
- https://github.com/wassupluke/recipe-emailer/pull/19
- https://github.com/okisdev/ChatChat/pull/322
- https://github.com/shreejitverma/MScFE690-Capstone/pull/6
- https://github.com/DevCycleHQ/go-server-sdk/pull/249
- https://github.com/usama-maxenius/image-editor/pull/71
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: Should this comment become an LLM test?

# Benchmark reviews generated by running
#   python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews: []

[SourceryAI]

Hey @sourcery-ai-experiments-bot - 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
• 🟢 Docstrings: all looks good

---

LangSmith trace

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

[SourceryAI]

suggestion (performance): Consider the impact of the audio sample rate change on audio quality and file size.

Setting the audio sample rate to 8000 Hz might significantly reduce the audio quality. Ensure this trade-off is acceptable for the application's requirements. Additionally, consider if this lower sample rate could lead to smaller file sizes, which might be beneficial or detrimental depending on the context.

Suggested change

	"-ar",
	"8000",
	"-ar",
	"16000",

[SourceryAI]

Is this comment correct?

[SourceryAI]

Is this comment helpful?

[SourceryAI]

Is the comment type correct?

[SourceryAI]

Is the comment area correct?

[SourceryAI]

Should this comment become an LLM test?