Return to opus. It just works better #64
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This is a benchmark review for experiment This pull request was cloned from Experiment configurationreview_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: []
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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: 3 issues found
- 🟢 Security: all looks good
- 🟡 Testing: 2 issues found
- 🟢 Complexity: all looks good
- 🟢 Docstrings: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.
| "libopus", | ||
| "-application", | ||
| "voip", | ||
| "-cutoff", |
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question (code_clarification): Clarify the choice of a 8000 Hz cutoff frequency for VoIP application.
The cutoff frequency of 8000 Hz is typical for telephony but might not be suitable for all VoIP applications, especially those requiring higher audio quality.
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Should this comment become an LLM test?
| "libopus", | ||
| "-application", | ||
| "voip", | ||
| "-cutoff", | ||
| "8000", | ||
| "-vbr", | ||
| "on", | ||
| opusfile, |
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suggestion (testing): Consider adding tests for new ffmpeg command options
The PR introduces new options for the ffmpeg command (e.g., '-application', '-cutoff', '-vbr'). It would be beneficial to add tests that verify these options are set correctly and that they produce the expected audio output quality and format.
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Should this comment become an LLM test?
| @@ -224,7 +224,7 @@ def audio_notification(audiofile, apobj, body, title): | |||
| Examples: | |||
| audio_notification(audiofile, apobj, body, title) | |||
| """ | |||
| flacfile = Path(audiofile).with_suffix(".flac") | |||
| opusfile = Path(audiofile).with_suffix(".opus") | |||
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suggestion (testing): Missing test for the new audio format conversion to .opus
The PR changes the audio format from .flac to .opus, but there are no tests to verify that the new format works as expected. Please add unit tests to ensure the conversion process to .opus is handled correctly and integrates well with the rest of the system.
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Should this comment become an LLM test?
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