PyPRS 0.0.1

A Python Software Package for Parallel Ranking and Selection Procedures.

| Main Page | How to Use PyPRS | Output | A Demo Application |

PyPRS: A Python Software Package for Parallel Ranking and Selection Procedures

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is Ray. PyPRS incorporates four well-known parallel procedures:

• The Good Selection Procedure (GSP)
• The Knockout-Tournament (KT) Procedure
• The Parallel Adaptive Survivor Selection (PASS) Procedure
• The Fixed-Budget Knockout-Tournament (FBKT) Procedure

Users can also upload custom procedures to test and compare performance against these built-in procedures.

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📋 Prerequisites

• Python 3.10 is recommended for optimal compatibility.
• Required packages: ray==2.44.1, numpy, scipy, matplotlib, mrg32k3a_numba. Install them using:

python -m pip install ray==2.44.1 numpy scipy matplotlib mrg32k3a_numba

📦 Installation

Option 1: Download from Repository

1. Download the PyPRS folder from the source repository.
2. Open it in a Python environment.

Option 2: Install from PyPI

python -m pip install PyPRS

🔍 Technical References

• Input Parameters
• Uploading Files
• MRG32k3a_numba
• Procedure File
• Scripts for Invoking the Procedures in PyPRS Main.md

Proceed to How to Use PyPRS