InternBootcamp/setup.py
Yongkang Chen a8249acc18
update to tech report version (#10)
* feat(run_eval): add checkpoint resume functionality and update example documentation;
- update new bootcamp benchmark dataset

* refactor(data_pipeline): optimize data generation pipeline; add multiple preset configurations for data generation

* docs: update bootcamp list and add new scripts

- Update Fulllist_InternBootcamp.md with new bootcamps and categories
- Add new scripts to .gitignore:
  - examples/pipelines/filter_autogen_configs.py
  - examples/pipelines/quickgen_data_configs_from_eval_meta.py
- Update dependencies in setup.py:
  - Add scipy and scikit-learn

* refactor(internbootcamp): update bootcamp modules and improve error handling

- Update import statements in __init__.py files
- Add timestamp to target directory name in verl_data_preprocess.py
- Improve error handling and scoring logic in bootcamp_judger.py
- Remove unnecessary comments and update puzzle descriptions in multiple files
2025-08-28 12:39:47 +08:00

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Executable file

import setuptools
setuptools.setup(
name="internbootcamp",
version="0.1.0",
url="https://github.com/InternLM/InternBootcamp/tree/main",
packages=setuptools.find_packages(include=['internbootcamp',]),
install_requires=[
"distance",
"matplotlib",
"datasets",
"jsonlines",
"fire",
"Faker",
"python-sat",
"sympy",
"openai",
"openpyxl",
"transformers",
"langdetect",
"pympler",
"shortuuid",
"rdkit==2024.3.2",
"scipy",
"scikit-learn==1.7.0",
"pandas==2.3.0"
],
package_data={
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires='>=3.6',
)