fix(aoa/TForest) : add requirements.txt and harden hardcoded paths in tools.py

[SurbhiD404]

Summary

Fixes the dependency and path-handling issues reported in #323 for the TForest example.

Changes

• Add requirements.txt containing the runtime dependencies required by the TForest example:

  • numpy
  • joblib
  • matplotlib
  • statsmodels
  • scienceplots
  • scikit-learn
  • tqdm
  • pandas

• Replace hardcoded relative paths in tools.py with pathlib-based paths resolved relative to the script location.

Issue Reproduction

On a clean environment, running the TForest example fails immediately with:

ModuleNotFoundError: No module named 'statsmodels'

In addition, tools.py relied on relative paths that depend on the current working directory, making execution fragile when launched from different locations.

Validation

Installed dependencies using:

pip install -r examples/aoa/single_task_bench/TForest/requirements.txt

Verified imports:

python -c "import numpy, joblib, matplotlib, statsmodels, scienceplots, sklearn, tqdm, pandas; print('All imports OK')"

Output:

All imports OK

After installing dependencies, execution proceeds beyond the original import failure and reaches the next stage of the workflow.

Fixes #323

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[gemini-code-assist]

Code Review

This pull request adds a requirements.txt file for the TForest benchmark and refactors path resolution in tools.py to use pathlib.Path relative to the file's base directory. Feedback suggests improving the robustness of load_test by resolving any relative path argument relative to BASE_DIR as well.

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