Bench config

[ATheorell]

Added a .toml for configuration of the benchmarks for increased customization and better UX. Style leans heavily on project_config.py @ErikBjare.

CHANGES COMMAND LINE INTERFACE TO THE BENCH APPLICATION.

Would be great if we can get this integrated relatively soon, since I think future work should use this config #913

Opinions? @ErikBjare @azrv @Mohit-Dhawan98 @AntonOsika

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🚀 This description was created by Ellipsis for commit dca2dc0

Summary:

This PR introduces a new configuration system for the benchmarking tool, allowing for greater customization of the benchmarks to run, and includes minor changes to pyproject.toml.

Key points:

• Added a .toml for configuration of the benchmarks for increased customization and better UX.
• Style leans heavily on project_config.py @ErikBjare.
• CHANGES COMMAND LINE INTERFACE TO THE BENCH APPLICATION.
• Added BenchConfig class in bench_config.py for handling benchmark configurations.
• Updated __main__.py in the benchmark directory to use the new configuration system.
• Updated the loading functions for each benchmark to take a configuration object as an argument.
• Removed the task_name argument from the run function in run.py.
• Added a default configuration file default_bench_config.toml.
• Added a new test file test_BenchConfig.py to test the new configuration system.
• Minor changes to pyproject.toml.

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Generated with ❤️ by ellipsis.dev

[ellipsis-dev]

❌ Changes requested.

• Reviewed the entire pull request up to f4aa2d1
• Looked at 542 lines of code in 12 files
• Took 1 minute and 48 seconds to review

More info

• Skipped 0 files when reviewing.
• Skipped posting 5 additional comments because they didn't meet confidence threshold of 50%.

1. /gpt_engineer/benchmark/__main__.py:112:

• Assessed confidence : 80%
• Grade: 0%
• Comment:
  The get_benchmark function is now expected to receive a config parameter, but the get_benchmark function in the benchmarks.load module does not seem to handle the case where this parameter is not provided. This could lead to errors if the function is called without a config parameter elsewhere in the codebase. Consider providing a default value for the config parameter in the get_benchmark function definition.
• Reasoning:
  The PR introduces a new configuration system for benchmarks, which allows users to specify which benchmarks to run and their parameters. The changes seem to be well implemented, with the new configuration system being integrated into the existing benchmarking system. However, there are a few potential issues that need to be addressed.

2. /gpt_engineer/benchmark/benchmarks/apps/load.py:78:

• Assessed confidence : 80%
• Grade: 0%
• Comment:
  The load_apps function now expects a config parameter, but the function does not seem to handle the case where this parameter is not provided. This could lead to errors if the function is called without a config parameter elsewhere in the codebase. Consider providing a default value for the config parameter in the load_apps function definition.
• Reasoning:
  The PR introduces a new configuration system for benchmarks, which allows users to specify which benchmarks to run and their parameters. The changes seem to be well implemented, with the new configuration system being integrated into the existing benchmarking system. However, there are a few potential issues that need to be addressed.

3. /gpt_engineer/benchmark/benchmarks/gpteng/load.py:206:

• Assessed confidence : 80%
• Grade: 30%
• Comment:
  The load_gpteng function now expects a config parameter, but the function does not seem to handle the case where this parameter is not provided. This could lead to errors if the function is called without a config parameter elsewhere in the codebase. Consider providing a default value for the config parameter in the load_gpteng function definition.
• Reasoning:
  The PR introduces a new configuration system for benchmarks, which allows users to specify which benchmarks to run and their parameters. The changes seem to be well implemented, with the new configuration system being integrated into the existing benchmarking system. However, there are a few potential issues that need to be addressed.

4. /gpt_engineer/benchmark/benchmarks/gptme/load.py:19:

• Assessed confidence : 80%
• Grade: 0%
• Comment:
  The load_gptme function now expects a config parameter, but the function does not seem to handle the case where this parameter is not provided. This could lead to errors if the function is called without a config parameter elsewhere in the codebase. Consider providing a default value for the config parameter in the load_gptme function definition.
• Reasoning:
  The PR introduces a new configuration system for benchmarks, which allows users to specify which benchmarks to run and their parameters. The changes seem to be well implemented, with the new configuration system being integrated into the existing benchmarking system. However, there are a few potential issues that need to be addressed.

5. /gpt_engineer/benchmark/benchmarks/mbpp/load.py:65:

• Assessed confidence : 80%
• Grade: 0%
• Comment:
  The load_mbpp function now expects a config parameter, but the function does not seem to handle the case where this parameter is not provided. This could lead to errors if the function is called without a config parameter elsewhere in the codebase. Consider providing a default value for the config parameter in the load_mbpp function definition.
• Reasoning:
  The PR introduces a new configuration system for benchmarks, which allows users to specify which benchmarks to run and their parameters. The changes seem to be well implemented, with the new configuration system being integrated into the existing benchmarking system. However, there are a few potential issues that need to be addressed.

Workflow ID: wflow_E5aNaWWb4Zd6TX0y

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[ellipsis-dev]

The from_toml method in the BenchConfig class does not seem to handle the case where the provided config_file does not exist or is not a valid TOML file. This could lead to unhandled exceptions if the method is called with an invalid file path. Consider adding error handling to this method to provide a more informative error message in such cases.

[ellipsis-dev]

👍 Looks good to me!

• Performed an incremental review on dca2dc0
• Looked at 11 lines of code in 1 files
• Took 1 minute and 1 seconds to review

More info

• Skipped 0 files when reviewing.
• Skipped posting 1 additional comments because they didn't meet confidence threshold of 50%.

1. pyproject.toml:103:

• Assessed confidence : 0%
• Comment:
  Good addition of a newline at the end of the file. This adheres to POSIX standards and ensures the file can be easily concatenated with other files.
• Reasoning:
  The change in the PR is adding a newline at the end of the file. This is a good practice as it ensures that the file can be easily concatenated with other files. It also adheres to the POSIX standards.

Workflow ID: wflow_I5JIqbvh7ESkjAWV

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