Finished question10

tp_2_miso_dict.py

@@ -17,10 +17,10 @@ def experiment_load_factor(load_factors: list[float]) -> tuple[list[float], list
 	memory_sizes = []
 	for i in load_factors:
 		d = {}
-		start_time = time.perf_counter()
 		resizing_count = 0
 		last_memory_size = sys.getsizeof(d)
 		num_elements = int(i*100)
+		start_time = time.perf_counter()
 		for j in range(num_elements):
 			d[j] = j
 			current_memory_size = sys.getsizeof(d)
@@ -28,7 +28,7 @@ def experiment_load_factor(load_factors: list[float]) -> tuple[list[float], list
 				resizing_count += 1
 				last_memory_size = current_memory_size
 		end_time = time.perf_counter()
-		insertion_times.append( end_time - start_time)
+		insertion_times.append(end_time - start_time)
 		resizing.append(resizing_count)
 		memory_sizes.append(last_memory_size)
 	return insertion_times, resizing, memory_sizes
@@ -77,7 +77,7 @@ def visualisation(load_factors, insertion_times, num_resizes, sizes, frequencies
 	plt.title('Taille de mémoire occupée en fonction du nombre d\'éléments')
 	plt.savefig('Plot3.png')
 	# Deuxième étude
-	f = list()
+	f = frequencies
 	plt.figure(figsize=(10, 6))
 	plt.bar(range(len(f)), f)
 	plt.xlabel('Temps d\'insertion (s)')