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

.gitignore

@@ -1,3 +1,6 @@
+## flangeplane
+internbootcamp/bootcamp/flangeplane/DeepCAD/work_dir/
+internbootcamp/bootcamp/flangeplane/DeepCAD/squashfs-root/
 
 ## outputs
 data_generator_outputs/
@@ -31,8 +34,9 @@ autoverifier/outputs
 test_bootcamp.py
 test_bootcamp_*.py
 fig.png
-
+examples/pipelines/filter_autogen_configs.py
 test*.py
+examples/pipelines/quickgen_data_configs_from_eval_meta.py
 
 
 # training
@@ -46,4 +50,4 @@ test*
 wandb
 
 # assets
-internbootcamp/libs/symbolic_regression
+internbootcamp/libs/symbolic_regression