Add GeorgeBPaul to list of contributors

benchmarks/test_benchmarking.py

@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+"""test_benchmarking.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1myqTW8ocmWO2V9KIAWpnLfxy2ShfsGGD
+"""
+
+import numpy as np
+import time
+from nashpy import Game
+
+def generate_payoff_matrix(size):
+    """
+    Generates a random payoff matrix of a specified size for a game.
+
+    Parameters:
+    - size (int): The size of the payoff matrix to generate.
+
+    Returns:
+    - numpy.ndarray: A square matrix of shape (size, size) filled with random values.
+    """
+    return np.random.rand(size, size)
+
+def benchmark_algorithm(algorithm, game):
+    """
+    Measure the time taken by a Nash equilibrium finding algorithm to compute equilibria for a given game.
+
+    Parameters:
+    - algorithm (callable): The Nash equilibrium algorithm to be benchmarked.
+    - game (nashpy.Game): The game instance on which the algorithm is applied.
+
+    Returns:
+    - list: A list of calculated Nash equilibria.
+    - float: The time taken to compute the equilibria, in seconds.
+    """
+    start_time = time.time()
+    equilibria = list(algorithm())
+    end_time = time.time()
+    return equilibria, end_time - start_time
+
+def profile_memory(algorithm, *args):
+    """
+    Profiles the peak memory usage of a given algorithm.
+
+    Parameters:
+    - algorithm (callable): The algorithm to profile.
+    - *args: Arguments to be passed to the algorithm.
+
+    Returns:
+    - float: The peak memory usage in MiB.
+    """
+    mem_usage = memory_usage((algorithm, args), interval=0.01, timeout=120)
+    return max(mem_usage)
+

docs/contributing/reference/contributors/index.rst

@@ -9,4 +9,5 @@ List of contributors
 - `@theref <https://github.com/theref>`_
 - `@robert-szeto <https://github.com/robert-szeto>`_
 - `@arwheel <https://github.com/arwheel>`_
+- `@GeorgeBPaul<https://github.com/GeorgeBPaul>`_
 - Computing for Mathematics class of 2023