73 lines
2.6 KiB
Python
73 lines
2.6 KiB
Python
#!/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()
|