mc-dagprop 0.1.0

No project description provided

mc_dagprop

mc_dagprop is a fast, Monte Carlo–style propagation simulator for directed acyclic graphs (DAGs), written in C++ with Python bindings via pybind11.
It allows you to model timing networks (timetables, precedence graphs, etc.) and inject user‐defined delay distributions on links.

---

Features

• Lightweight & high‑performance core in C++
• Expose a simple Python API via poetry or pip
• Define custom delay distributions per link‐type:
  • Constant (linear scaling)
  • Exponential (with cutoff)
  • Easily extendable for Weibull, Gamma, …
• Single‐run (run(seed)) and batch‐run (run_many([seeds])) support
• Returns a SimResult struct: realized times, link delays, and causal events

---

Installation

# with poetry
poetry add mc_dagprop

# or with pip
pip install mc_dagprop