Python driver and data analysis part

PythonTests/main.py

+import random
+import time
+import os
+
+
+def create_size_list(length):
+    start = 16
+    size_l = [start * (2 ** i) for i in range(length)]
+    return size_l
+
+
+def make_folders_local(output_path):
+    os.makedirs(output_path, mode=0o777, exist_ok=True)
+    return output_path
+
+
+def generate_random_data(points, size):
+    data = []
+    start_time = time.time()
+
+    for p in range(points):
+        timestamp = start_time + random.random()
+        duration = random.uniform(0.0001, 0.001)
+        data.append((timestamp, duration, size))
+
+    return data
+
+
+def wirte_data_file(rnd_data, name, folder_p):
+    with open(f"./{folder_p}/{name}.dat", "w") as file:
+        file.write("t duration size\n")  # Schreibe den Kopf der Datei
+        for i, (timestamp, duration, size) in enumerate(rnd_data):
+            if i == 0:
+                file.write(f"{timestamp:.9f} {duration:.9f} {size}\n")
+            else:
+                file.write(f"{timestamp:.9f} {duration:.9f} {size}\n")
+
+
+num_points = 500000  # Anzahl der gewünschten Datenpunkte
+nodes = 8
+types = ['posix-close-', 'posix-open-', 'posix-write-', 'worker-burst-', 'worker-dump-', 'worker-idle-', 'worker-wait-']
+events = 23
+size_list = create_size_list(events)
+
+
+for n in range(nodes):
+    for t in types:
+        for s in size_list:
+            filename = f'{t}{n}'
+            folder = f'test_output/Data_Set_{s}_Local'
+            folder_path = make_folders_local(folder)
+            random_data = generate_random_data(num_points, s)
+            wirte_data_file(random_data, filename, folder_path)
+