NumPy Simulation Project

Your brief

This project generates bounded fictional collection amounts and applies two deterministic storage caps. The second cap is larger, so captured water should never be smaller for the same simulated input. Using the same draws isolates the rule difference instead of adding avoidable sampling noise. The model is intentionally simple and does not represent a real roof, climate, storage loss or engineering recommendation.

Run the code

Select Try in playground to preload the complete code into the NumPy editor. Nothing executes on import; choose Run when ready. The first execution loads the local Pyodide runtime and NumPy package. Each ordinary run starts fresh, with no access to this page’s cookies or personal files. In-memory streams and temporary virtual files belong to the runtime, not your PC.

For local work, use a separate virtual environment and run python simulation-project.py. Download the complete source. The reviewed local environment uses Python 3.12.14 and NumPy 2.5.4; the browser uses Pyodide 0.27.7 with NumPy 2.0.2. Compatible examples are checked in both. See the environment setup. No Apache or database server is required.

Worked solution

import numpy as np

draws = np.random.default_rng(41).uniform(0., 40., size=200)
small = np.minimum(draws, 20.)
large = np.minimum(draws, 30.)
print(bool((large >= small).all()))
print(bool((small <= 20.).all() and (large <= 30.).all()))
print(draws.shape)

True
True
(200,)

Extend and test

Change both caps to the same value and verify equal results. Then test a negative proposed cap by adding an explicit parameter rejection before calculation.