Update ttt.py

[sourcery-ai-experiments-bot]

No description provided.

[sourcery-ai-experiments-bot]

This is a benchmark review for experiment review_of_reviews_20240501.
Run ID: review_of_reviews_20240501/benchmark_2024-05-01T00-17-45_v1-16-0-221-g235b41e01.

This pull request was cloned from https://github.com/jquagga/ttt/pull/101. (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_functionality_review: 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
      functionality_model: benchmark
      security_model: benchmark
      tests_model: benchmark

# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/strawberry-graphql/strawberry/pull/3478
- https://github.com/agatma/sprint1-http-server/pull/3
- https://github.com/strawberry-graphql/strawberry-django/pull/525
- https://github.com/agatma/sprint1-http-server/pull/4
- https://github.com/strawberry-graphql/strawberry/pull/3480
- https://github.com/Xmaster6y/mulsi/pull/21
- https://github.com/Xmaster6y/mulsi/pull/22
- https://github.com/LLotme/vscode/pull/4
- https://github.com/ignition-api/8.1/pull/271
- https://github.com/ignition-api/8.1/pull/272
- https://github.com/manoelhc/test-actions/pull/33
- https://github.com/tqt97/BlogForJob/pull/3
- https://github.com/tqt97/BlogForJob/pull/2
- https://github.com/tqt97/BlogForJob/pull/4
- https://github.com/ser3n7ty/Nvim/pull/1
- https://github.com/ser3n7ty/Nvim/pull/2
- https://github.com/ser3n7ty/Nvim/pull/3
- https://github.com/okisdev/ChatChat/pull/325
- https://github.com/DevCycleHQ/ios-client-sdk/pull/197
- https://github.com/DevCycleHQ/test-harness/pull/424
- https://github.com/DevCycleHQ/flutter-client-sdk/pull/150
- https://github.com/DevCycleHQ/cli/pull/382
- https://github.com/DevCycleHQ/devcycle-docs/pull/642
- https://github.com/uncscode/particula/pull/449
- https://github.com/nikhilbadyal/docker-py-revanced/pull/518
- https://github.com/ignition-incendium/incendium/pull/199
- https://github.com/rtk-rnjn/algorithms/pull/81
- https://github.com/rtk-rnjn/algorithms/pull/82
- https://github.com/rtk-rnjn/algorithms/pull/83
- https://github.com/rtk-rnjn/algorithms/pull/84
- https://github.com/suttacentral/suttacentral/pull/3151
- https://github.com/EduardSchwarzkopf/pecuny/pull/131
- https://github.com/gdsfactory/cspdk/pull/27
- https://github.com/gdsfactory/cspdk/pull/28
- https://github.com/gdsfactory/cspdk/pull/29
- https://github.com/gdsfactory/ubc/pull/376
- https://github.com/gdsfactory/ubc/pull/377
- https://github.com/gdsfactory/gdsfactory/pull/2709
- https://github.com/gdsfactory/ubc/pull/378
- https://github.com/W-zrd/unishare_mobile/pull/13
- https://github.com/Nuitka/Nuitka/pull/2830
- https://github.com/jquagga/ttt/pull/98
- https://github.com/jquagga/ttt/pull/101
- https://github.com/Idrinth/api-bench/pull/939
- https://github.com/letsdoitnowus/planium-backend/pull/41
- https://github.com/albumentations-team/albumentations.ai/pull/74
- https://github.com/albumentations-team/albumentations/pull/1695
- https://github.com/yashasvi-jain/ucron-models/pull/11
- https://github.com/nbhirud/system_update/pull/24
- https://github.com/supabase-community/postgrest-py/pull/422
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: []

[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

---

LangSmith trace

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

[SourceryAI]

suggestion (code_refinement): Consider handling other whitespace variations in the condition.

Using strip() improves the condition by handling cases where the text might have leading or trailing spaces. However, consider if there are scenarios where other whitespace characters (like tabs or newlines) could appear and whether strip() adequately addresses these cases.

Suggested change

	if calljson["text"] != "you":
	if calljson["text"].strip() != "you":

[SourceryAI]

Is this comment correct?

[SourceryAI]

Is this comment helpful?

[SourceryAI]

Is the comment type correct?

[SourceryAI]

Is the comment area correct?

[SourceryAI]

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