added analysis that draws AES comparison plot

.gitignore

@@ -2,6 +2,10 @@
 __pycache__/
 .pytest_cache/
 
+# Derived files
+analysis/*.csv
+analysis/*.png
+
 # Coverage
 .coverage
 htmlcov/

analysis/aes_comparison.py

@@ -0,0 +1,34 @@
+from matplotlib import pyplot as plt
+from random import randbytes
+from os import path
+from perf_tests.test_aes_integration import run as run_with_aes
+from perf_tests.test_encryption import run as run_without_aes
+
+test_sample_sizes = [32, 96, 192, 512, 1024, 1504, 2048, 4096, 8192, 10_048]
+
+times_with_aes = []
+times_without_aes = []
+
+for payload_length in test_sample_sizes:
+    payload = randbytes(payload_length)
+
+    durations = run_with_aes(payload)
+    times_with_aes.append(sum(durations))
+
+    durations = run_without_aes(payload)
+    times_without_aes.append(sum(durations))
+
+    print(f"Test {payload_length} completed")
+
+# save CSV
+with open(path.join(path.dirname(__file__), "aes_comparison.csv"), "w") as file:
+    file.write("payload size (bytes),time with AES,time without AES\n")
+    for size, time_with_aes, time_without_aes in zip(test_sample_sizes, times_with_aes, times_without_aes):
+        file.write(f"{size},{time_with_aes:.6f},{time_without_aes:.6f}\n")
+
+# draw plot
+plt.plot(test_sample_sizes, times_with_aes, marker="x", label="with AES")
+plt.plot(test_sample_sizes, times_without_aes, marker="x", label="without AES")
+plt.xlabel("Payload size, bytes")
+plt.ylabel("Encryption + decryption time, seconds")
+plt.show()