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

internbootcamp/bootcamp/bnewyearandascentsequence/bnewyearandascentsequence.py

@@ -1,6 +1,4 @@
-"""# 
-
-### 谜题描述
+"""### 谜题描述
 A sequence a = [a_1, a_2, …, a_l] of length l has an ascent if there exists a pair of indices (i, j) such that 1 ≤ i < j ≤ l and a_i < a_j. For example, the sequence [0, 2, 0, 2, 0] has an ascent because of the pair (1, 4), but the sequence [4, 3, 3, 3, 1] doesn't have an ascent.
 
 Let's call a concatenation of sequences p and q the sequence that is obtained by writing down sequences p and q one right after another without changing the order. For example, the concatenation of the [0, 2, 0, 2, 0] and [4, 3, 3, 3, 1] is the sequence [0, 2, 0, 2, 0, 4, 3, 3, 3, 1]. The concatenation of sequences p and q is denoted as p+q.