script to test agcd

scripts/script.py

@@ -0,0 +1,72 @@
+#!/bin/python3
+import argparse, subprocess, re, tempfile, os
+import numpy as np
+import matplotlib.pyplot as plt
+from gen_values import generate_test_file
+
+def run_agcd(input_file):
+    cmd = ["./target/release/approximate-gcd", "agcd", input_file]
+
+    try:
+        result = subprocess.run(cmd, capture_output=True, text=True, check=True)
+        output = result.stdout
+
+        match = re.search(r"Recovered p: (\d+)", output)
+        return int(match.group(1)) if match else None
+
+    except subprocess.CalledProcessError as e:
+        print(f"Error running command for input_file={input_file}: {e}")
+        return None
+    except (AttributeError, ValueError) as e:
+        print(f"Error parsing output for input_file={input_file}: {e}")
+        return None
+
+
+def plot_curves(noise_bits, p_bits, test_numbers, successes):
+    plt.figure(figsize=(10, 6))
+    plt.plot(test_numbers, successes, marker='o')
+    plt.xlabel('Number of Test Values')
+    plt.ylabel('Success (1 = Correct, 0 = Incorrect)')
+    plt.title(f'Success vs. Number of Test Values\n(noise_bits={noise_bits}, p_bits={p_bits})')
+    plt.grid(True)
+    plt.ylim(-0.1, 1.1)
+    plt.yticks([0, 1])
+    plt.xticks(test_numbers)
+    plt.savefig('success_plot.png')
+    plt.show()
+
+def main():
+    parser = argparse.ArgumentParser(description='Test AGCD with varying number of test values.')
+    parser.add_argument('--noise_bits', type=int, default=8, help='Number of noise bits')
+    parser.add_argument('--p_bits', type=int, default=128, help='Number of bits for p')
+    parser.add_argument('--min_values', type=int, default=2, help='Minimum number of test values')
+    parser.add_argument('--max_values', type=int, default=100, help='Maximum number of test values')
+    args = parser.parse_args()
+
+    noise_bits = args.noise_bits
+    p_bits = args.p_bits
+    test_numbers = range(args.min_values, args.max_values + 1)
+    successes = []
+
+    for num_values in test_numbers:
+        # Create temporary test file
+        with tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.txt') as tmp_file:
+            true_p = generate_test_file(noise_bits, num_values, p_bits, tmp_file.name)
+
+            # Run AGCD
+            recovered_p = run_agcd(tmp_file.name)
+
+            # Check if recovery was successful
+            success = 1 if recovered_p != None and abs(recovered_p - true_p) <= 4 else 0
+            successes.append(success)
+
+            # Clean up
+            os.unlink(tmp_file.name)
+
+        print(f"Number of values: {num_values}, Success: {'Yes' if success else 'No'}")
+
+    # Plot the results
+    plot_curves(noise_bits, p_bits, test_numbers, successes)
+
+if __name__ == "__main__":
+    main()