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

examples/pipelines/all_configs/Cphotographer_test.json

@@ -0,0 +1,38 @@
+[
+    {
+        "n_clients": 8,
+        "d": 250,
+        "a": 5,
+        "b": 10
+    },
+    {
+        "n_clients": 12,
+        "d": 300,
+        "a": 3,
+        "b": 4
+    },
+    {
+        "n_clients": 3,
+        "d": 10,
+        "a": 2,
+        "b": 3
+    },
+    {
+        "n_clients": 10,
+        "d": 500,
+        "a": 1,
+        "b": 2
+    },
+    {
+        "n_clients": 20,
+        "d": 1000,
+        "a": 3,
+        "b": 5
+    },
+    {
+        "n_clients": 5,
+        "d": 100,
+        "a": 2,
+        "b": 3
+    }
+]