#689

[kennethshsu]

• Addressed and added clarity on the dates example in the multi trend user guide
• Added some notes on uv and virtual environment
• Added some files to gitignore (docs generated)

---

Note

Low Risk
Low risk documentation and housekeeping changes; the only code change is a docstring clarification for ParallelogramOLF, with no runtime logic modified.

Overview
Documentation updates: clarifies uv-based dev setup in docs/library/contributing.md, fixes the uv run example, and updates the user guide notebook to use clearer, fully-specified multipart trend date ranges and a correct Triangle(..., cumulative=True) on-leveling example.

Minor housekeeping: expands .gitignore to exclude Jupyter/VSCode generated artifacts (e.g., .virtual_documents, checkpoints).

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 85.08%. Comparing base (05ea946) to head (c861aff).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #690   +/-   ##
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  Coverage   85.08%   85.08%           
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  Files          85       85           
  Lines        4896     4896           
  Branches      629      629           
=======================================
  Hits         4166     4166           
  Misses        521      521           
  Partials      209      209           

Flag	Coverage Δ
unittests	85.08% <ø> (ø)

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[hutch3232]

A couple minor comments. I am a novice to the package, so my thoughts should be taken with a grain of salt. @kennethshsu asked me to provide a review.

[hutch3232]

I think typing.Literal["M", "D"] is more informative, but a change like this could wait until there is more comprehensive type hinting.

[hutch3232]

I don't understand this step.

$ uv run jupyter-lab
error: Failed to spawn: `jupyter-lab`
  Caused by: program not found

jupyter-lab doesn't seem to exist: https://pypi.org/project/jupyter-lab/ (404). I know jupyterlab is a package, but it is not a dependency (or an extra) of chainladder-python so it won't exist in the venv.

uv run python is a decent option for starting the python REPL. My suggestion would be to provide IDE agnostic instructions. venv activation varies slightly by platform:
Linux/macOS: source .venv/bin/activate and Windows: .venv\Scripts\activate, per:
https://docs.astral.sh/uv/pip/environments/#using-a-virtual-environment

I think it can be assumed that any potential contributors already have an IDE setup or are capable of doing so.