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extract code from text; solve_problem; request_timeout in config; improve code (#999)
* extract code from text * solve_problem; request_timeout in config * improve * move import statement * improve code * generate assertions * constant * configs for implement; voting * doc * execute code in docker * success indicator of code executation in docker * success indicator * execute code * strip n * add cost in generate_code * add docstr * filename * bytes * check docker version * print log * python test * remove api key address * rename exit code * success exit code * datasets * exit code * recover openai tests * cache and pattern match * wait * wait * cache and test * timeout test * python image name and skip macos * windows image * docker images * volume path and yaml * win path -> posix * extensions * path * path * path * path * path * path * path * path * path * path * path * skip windows * path * timeout in windows * use_docker * use_docker * hot fix from #1000 --------- Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
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3
setup.py
3
setup.py
@@ -120,7 +120,8 @@ setuptools.setup(
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"pytorch-forecasting>=0.9.0",
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],
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"benchmark": ["catboost>=0.26", "psutil==5.8.0", "xgboost==1.3.3"],
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"openai": ["openai==0.27.4", "diskcache", "optuna==2.8.0"],
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"openai": ["openai==0.27.4", "diskcache"],
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"autogen": ["openai==0.27.4", "diskcache", "docker"],
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"synapse": ["joblibspark>=0.5.0", "optuna==2.8.0", "pyspark>=3.2.0"],
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},
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classifiers=[
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