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This is a benchmark review for experiment review_of_reviews_20240423.
Run ID: review_of_reviews_20240423/benchmark_2024-04-23T04-47-09_v1-16-0-175-g6ca5478bc.

This pull request was cloned from https://github.com/edsonportosilva/OptiCommPy/pull/22. (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/simnova/ownercommunity/pull/73
- https://github.com/wassupluke/recipe-emailer/pull/20
- https://github.com/erxes/erxes/pull/5153
- https://github.com/wassupluke/recipe-emailer/pull/19
- https://github.com/gdsfactory/kfactory/pull/298
- https://github.com/UCL/dxss/pull/63
- https://github.com/wassupluke/recipe-emailer/pull/22
- https://github.com/jquagga/ttt/pull/78
- https://github.com/megasanjay/scholar-stack-mvp/pull/159
- https://github.com/iphysresearch/Eryn/pull/1
- https://github.com/jquagga/ttt/pull/67
- https://github.com/yaitoo/sqle/pull/42
- https://github.com/fairdataihub/fairdataihub.org/pull/620
- https://github.com/jquagga/ttt/pull/75
- https://github.com/jkool702/openwrt/pull/41
- https://github.com/osama1998H/spms/pull/57
- https://github.com/simnova/ownercommunity/pull/75
- https://github.com/dciborow/action-pylint/pull/14
- https://github.com/strawberry-graphql/strawberry/pull/3469
- https://github.com/DevCycleHQ/go-server-sdk/pull/248
- https://github.com/shreejitverma/MScFE690-Capstone/pull/7
- https://github.com/jquagga/ttt/pull/76
- https://github.com/jquagga/ttt/pull/79
- https://github.com/Bilbottom/grid-hooks/pull/7
- https://github.com/wassupluke/recipe-emailer/pull/21
- https://github.com/jquagga/ttt/pull/73
- https://github.com/gdsfactory/kfactory/pull/300
- https://github.com/usama-maxenius/image-editor/pull/71
- https://github.com/gdsfactory/kfactory/pull/301
- https://github.com/osama1998H/spms/pull/56
- https://github.com/okisdev/ChatChat/pull/319
- https://github.com/wassupluke/recipe-emailer/pull/24
- https://github.com/ShiroePL/EasternTalesShelf/pull/44
- https://github.com/youandvern/efficalc/pull/13
- https://github.com/gdsfactory/gdsfactory/pull/2694
- https://github.com/0ussamaBernou/my-portfolio/pull/6
- https://github.com/0ussamaBernou/my-portfolio/pull/8
- https://github.com/wassupluke/recipe-emailer/pull/29
- https://github.com/shreejitverma/MScFE690-Capstone/pull/6
- https://github.com/albumentations-team/albumentations/pull/1679
- https://github.com/osism/python-osism/pull/869
- https://github.com/ElectronicBabylonianLiterature/ebl-api/pull/546
- https://github.com/jquagga/ttt/pull/70
- https://github.com/wassupluke/recipe-emailer/pull/23
- https://github.com/erxes/erxes/pull/5152
- https://github.com/edsonportosilva/OptiCommPy/pull/22
- https://github.com/jquagga/ttt/pull/77
- https://github.com/ShiroePL/EasternTalesShelf/pull/45
- https://github.com/itzlayz/teagram-tl/pull/22
- https://github.com/wassupluke/recipe-emailer/pull/15
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: []

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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: all looks good
  • 🟢 Security: all looks good
  • 🟡 Testing: 3 issues found
  • 🟢 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.

@@ -0,0 +1,97 @@
import unittest

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suggestion (testing): Consider structuring tests to use test fixtures for common setup.

The setUp method is currently empty. Utilizing this for setting up common test parameters or objects used across multiple test methods can make the tests cleaner and reduce redundancy.

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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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Should this comment become an LLM test?

result = modulateGray(bits, M, constType)
self.assertEqual(len(result), len(bits) // int(np.log2(M)))

def test_demodulateGray(self):

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suggestion (testing): Add assertions to verify the correctness of the output values.

The test for demodulateGray checks the length of the result but does not verify that the output values are correct. Adding assertions to check the actual demodulated bits against expected values would strengthen the test.

Suggested change
def test_demodulateGray(self):
def test_demodulateGray(self):
# Test demodulateGray function with some example inputs
symb = np.array([1+1j, 3+3j, 2+2j])
expected_bits = [0, 1, 3] # Example expected output
result = demodulateGray(symb, M)
self.assertEqual(result, expected_bits)

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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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Should this comment become an LLM test?

b = np.roll(a, -delay)

assert delay == finddelay(a, b)
assert delay == -finddelay(b, a)

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suggestion (testing): Include tests for non-integer and negative delays.

The tests for finddelay function currently handle basic cases. Including scenarios with non-integer and negative delays could help in validating the function's robustness and correctness under more diverse conditions.

Suggested change
assert delay == -finddelay(b, a)
assert delay == -finddelay(b, a)
assert delay == -finddelay(b + 0.5, a) # Test with non-integer values
assert delay == -finddelay(b, a - 0.5) # Test with non-integer values

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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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Should this comment become an LLM test?

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4 participants