собрала отдельные папки для лаб

victorovaas/lab1/experiments.py

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+import random
+import time
+import csv
+import os
+from lab1.phonebook import *
+
+def generate_test_data(n=10000):
+
+    records = [(f"User_{i:05d}", f"+7-999-{i:07d}") for i in range(n)]
+    
+    records_shuffled = records.copy()
+    random.shuffle(records_shuffled)
+
+    records_sorted = sorted(records, key=lambda x: x[0])
+
+    return records_shuffled, records_sorted
+
+def get_random_names(records, n=100):
+    return[name for  name, _ in random.sample(records, min(n, len(records)))]
+
+def run_linked_experiments(records, mode_name):
+
+    print(f"\n связный список ({mode_name}):")
+
+    print("вставка 10000 записей:")
+    
+    insert_times = []
+    for run in range(5):
+        start = time.perf_counter()
+        head = None
+        for name, phone in records:
+            head = ll_insert(head, name, phone)
+        end = time.perf_counter()
+        insert_times.append(end - start)
+        print(f"Вставка {run+1}/5: {insert_times[-1]:.6f} сек")
+
+    avg_insert = sum(insert_times) / 5
+    print(f"среднее: {avg_insert:.6f} сек")
+
+    print("поиск 110 записей:")
+
+    exist_names = get_random_names(records, 100)
+    non_exist_names = [f"None_{i}" for i in range(10)]
+
+    find_times = []
+    for run in range(5):
+        start = time.perf_counter()
+
+        for name in exist_names:
+            ll_find(head, name)
+        for name in non_exist_names:
+            ll_find(head, name)
+
+        end = time.perf_counter()
+        find_times.append(end - start)
+        print(f"поиск {run+1}/5: {find_times[-1]:.6f} сек")
+
+    avg_find = sum(find_times) / 5
+    print(f"среднее: {avg_find:.6f} сек")
+
+    print("удаление 50 случайных записей:")
+
+    to_delete = get_random_names(records,50)
+
+    delete_times = []
+    for run in range(5):
+        current_head = head
+        start = time.perf_counter()
+        for name in to_delete:
+            current_head = ll_delete(current_head, name)
+        end = time.perf_counter()
+        delete_times.append(end - start)
+        print(f"удаление {run+1}/5: {delete_times[-1]:.6f} сек")
+
+    avg_delete = sum(delete_times) / 5
+    print(f"среднее: {avg_delete:.6f} сек")
+
+    return{
+        'structure': 'LinkedList',
+        'mode': mode_name,
+        'insert_avg': avg_insert,
+        'insert_all': insert_times,
+        'find_avg': avg_find,
+        'find_all': find_times,
+        'delete_avg': avg_delete,
+        'delete_all': delete_times
+    }
+
+def run_hash_experiments(records, mode_name):
+
+    print(f"\n хеш-таблица({mode_name})")
+
+    print("вставка 10000 записей:")
+    
+    insert_times = []
+    for run in range(5):
+        start = time.perf_counter()
+
+        buckets = ht_create(1000)
+        for name, phone in records:
+            buckets = ht_insert(buckets, name, phone)
+
+        end = time.perf_counter()
+        insert_times.append(end - start)
+        print(f"Вставка {run+1}/5: {insert_times[-1]:.6f} сек")
+
+    avg_insert = sum(insert_times) / 5
+    print(f"среднее: {avg_insert:.6f} сек")
+
+    print("поиск 110 записей:")
+
+    exist_names = get_random_names(records, 100)
+    non_exist_names = [f"None_{i}" for i in range(10)]
+
+    find_times = []
+    for run in range(5):
+        start = time.perf_counter()
+
+        for name in exist_names:
+            ht_find(buckets, name)
+        for name in non_exist_names:
+            ht_find(buckets, name)
+
+        end = time.perf_counter()
+        find_times.append(end - start)
+        print(f"поиск {run+1}/5: {find_times[-1]:.6f} сек")
+
+    avg_find = sum(find_times) / 5
+    print(f"среднее: {avg_find:.6f} сек")
+
+    print("удаление 50 случайных записей:")
+
+    to_delete = get_random_names(records,50)
+
+    delete_times = []
+    for run in range(5):
+        current_buckets = buckets.copy()
+        start = time.perf_counter()
+        for name in to_delete:
+            current_buckets = ht_delete(current_buckets, name)
+        end = time.perf_counter()
+        delete_times.append(end - start)
+        print(f"удаление {run+1}/5: {delete_times[-1]:.6f} сек")
+
+    avg_delete = sum(delete_times) / 5
+    print(f"среднее: {avg_delete:.6f} сек")
+
+    return{
+        'structure': 'HashTable',
+        'mode': mode_name,
+        'insert_avg': avg_insert,
+        'insert_all': insert_times,
+        'find_avg': avg_find,
+        'find_all': find_times,
+        'delete_avg': avg_delete,
+        'delete_all': delete_times
+    }
+
+def run_bst_experiments(records, mode_name):
+
+    print(f"\n двоичное дерево({mode_name})")
+
+    print("вставка 10000 записей:")
+    
+    insert_times = []
+    for run in range(5):
+        start = time.perf_counter()
+
+        root = None
+        for name, phone in records:
+            root = bst_insert(root, name, phone)
+
+        end = time.perf_counter()
+        insert_times.append(end - start)
+        print(f"Вставка {run+1}/5: {insert_times[-1]:.6f} сек")
+
+    avg_insert = sum(insert_times) / 5
+    print(f"среднее: {avg_insert:.6f} сек")
+
+    print("поиск 110 записей:")
+
+    exist_names = get_random_names(records, 100)
+    non_exist_names = [f"None_{i}" for i in range(10)]
+
+    find_times = []
+    for run in range(5):
+        start = time.perf_counter()
+
+        for name in exist_names:
+            bst_find(root, name)
+        for name in non_exist_names:
+            bst_find(root, name)
+
+        end = time.perf_counter()
+        find_times.append(end - start)
+        print(f"поиск {run+1}/5: {find_times[-1]:.6f} сек")
+
+    avg_find = sum(find_times) / 5
+    print(f"среднее: {avg_find:.6f} сек")
+
+    print("удаление 50 случайных записей:")
+
+    to_delete = get_random_names(records,50)
+
+    delete_times = []
+    for run in range(5):
+        current_root = root  
+        start = time.perf_counter()
+        for name in to_delete:
+           current_root = bst_delete(current_root, name)
+        end = time.perf_counter()
+        delete_times.append(end - start)
+        print(f"удаление {run+1}/5: {delete_times[-1]:.6f} сек")
+
+    avg_delete = sum(delete_times) / 5
+    print(f"среднее: {avg_delete:.6f} сек")
+
+    return{
+        'structure': 'BST',
+        'mode': mode_name,
+        'insert_avg': avg_insert,
+        'insert_all': insert_times,
+        'find_avg': avg_find,
+        'find_all': find_times,
+        'delete_avg': avg_delete,
+        'delete_all': delete_times
+    }
+
+def save_results_to_csv(all_results):
+    
+    os.makedirs("docs/data", exist_ok=True)
+    
+    with open("docs/data/results.csv", "w", encoding="utf-8") as f:
+       
+        f.write("Структура, Режим, Операция, Замер, Время (сек)\n")
+        
+        for res in all_results:
+            struct = res['structure']
+            mode = res['mode']
+            
+       
+            for i, t in enumerate(res['insert_all']):
+                f.write(f"{struct},{mode},вставка,{i+1},{t}\n")
+            f.write(f"{struct},{mode},вставка,среднее,{res['insert_avg']}\n")
+            
+          
+            for i, t in enumerate(res['find_all']):
+                f.write(f"{struct},{mode},поиск,{i+1},{t}\n")
+            f.write(f"{struct},{mode},поиск,среднее,{res['find_avg']}\n")
+            
+         
+            for i, t in enumerate(res['delete_all']):
+                f.write(f"{struct},{mode},удаление,{i+1},{t}\n")
+            f.write(f"{struct},{mode},удаление,среднее,{res['delete_avg']}\n")
+    
+
+def main():
+    print("эксперименты по замеру производительности")
+
+    records_shuffled, records_sorted = generate_test_data(10000)
+
+    all_results = []
+
+    print("режим: случайный порядок")
+
+    all_results.append(run_linked_experiments(records_shuffled, "случайный"))
+    all_results.append(run_hash_experiments(records_shuffled, "случайный"))
+    all_results.append(run_bst_experiments(records_shuffled, "случайный"))
+
+    print("режим: отсортированный порядок")
+
+    all_results.append(run_linked_experiments(records_sorted, "отсортированный"))
+    all_results.append(run_hash_experiments(records_sorted, "отсортированный"))
+    all_results.append(run_bst_experiments(records_sorted, "отсортированный"))
+
+    save_results_to_csv(all_results)
+
+if __name__== "__main__":
+    main()
+
+
+

victorovaas/lab1/make_graphs.py

@@ -0,0 +1,123 @@
+
+import matplotlib.pyplot as plt
+import numpy as np
+import os
+
+
+os.makedirs('docs/data', exist_ok=True)
+
+
+structures = ['LinkedList', 'HashTable', 'BST']
+
+random_insert = [0.0037545, 0.015088, 0.026280]
+sorted_insert = [0.0017544, 0.011369, 4.930788]
+
+random_search = [0.00000962, 0.0001646, 0.0002592]
+sorted_search = [0.00000858, 0.00014016, 0.047126]
+
+random_delete = [0.0000079, 0.00009824, 0.00016984]
+sorted_delete = [0.00000294, 0.00005878, 0.023013]
+
+x = np.arange(len(structures))
+width = 0.35
+
+#график вставка
+fig, ax = plt.subplots(figsize=(12, 7))
+
+bars1 = ax.bar(x - width/2, random_insert, width, label='Случайный порядок', color='#3498db')
+bars2 = ax.bar(x + width/2, sorted_insert, width, label='Отсортированный порядок', color='#e74c3c')
+
+
+for bar in bars1:
+    height = bar.get_height()
+    ax.annotate(f'{height:.4f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+
+for bar in bars2:
+    height = bar.get_height()
+    if height < 1:
+        ax.annotate(f'{height:.4f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+    else:
+        ax.annotate(f'{height:.1f} сек', xy=(bar.get_x() + bar.get_width()/2, height),
+                    xytext=(0, 5), textcoords="offset points", ha='center', va='bottom', fontsize=10, fontweight='bold')
+
+ax.set_ylabel('Время (сек)', fontsize=12)
+ax.set_title('Время вставки 10000 записей', fontsize=14, fontweight='bold')
+ax.set_xticks(x)
+ax.set_xticklabels(structures, fontsize=11)
+ax.legend(fontsize=11)
+ax.set_yscale('log')
+ax.grid(True, alpha=0.3, axis='y')
+
+plt.tight_layout()
+plt.savefig('docs/data/graph_insert.png', dpi=150, bbox_inches='tight')
+plt.close()
+
+
+# график поиск
+fig, ax = plt.subplots(figsize=(12, 7))
+
+bars1 = ax.bar(x - width/2, random_search, width, label='Случайный порядок', color='#3498db')
+bars2 = ax.bar(x + width/2, sorted_search, width, label='Отсортированный порядок', color='#e74c3c')
+
+for bar in bars1:
+    height = bar.get_height()
+    ax.annotate(f'{height:.6f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+
+for bar in bars2:
+    height = bar.get_height()
+    if height < 0.01:
+        ax.annotate(f'{height:.6f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+    else:
+        ax.annotate(f'{height:.4f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+
+ax.set_ylabel('Время (сек)', fontsize=12)
+ax.set_title('Время поиска 110 записей', fontsize=14, fontweight='bold')
+ax.set_xticks(x)
+ax.set_xticklabels(structures, fontsize=11)
+ax.legend(fontsize=11)
+ax.set_yscale('log')
+ax.grid(True, alpha=0.3, axis='y')
+
+plt.tight_layout()
+plt.savefig('docs/data/graph_search.png', dpi=150, bbox_inches='tight')
+plt.close()
+
+
+# график удаление
+fig, ax = plt.subplots(figsize=(12, 7))
+
+bars1 = ax.bar(x - width/2, random_delete, width, label='Случайный порядок', color='#3498db')
+bars2 = ax.bar(x + width/2, sorted_delete, width, label='Отсортированный порядок', color='#e74c3c')
+
+for bar in bars1:
+    height = bar.get_height()
+    ax.annotate(f'{height:.6f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+
+for bar in bars2:
+    height = bar.get_height()
+    if height < 0.01:
+        ax.annotate(f'{height:.6f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+    else:
+        ax.annotate(f'{height:.4f}', xy=(bar.get_x() + bar.get_width()/2, height),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=9)
+
+ax.set_ylabel('Время (сек)', fontsize=12)
+ax.set_title('Время удаления 50 записей', fontsize=14, fontweight='bold')
+ax.set_xticks(x)
+ax.set_xticklabels(structures, fontsize=11)
+ax.legend(fontsize=11)
+ax.set_yscale('log')
+ax.grid(True, alpha=0.3, axis='y')
+
+plt.tight_layout()
+plt.savefig('docs/data/graph_delete.png', dpi=150, bbox_inches='tight')
+plt.close()
+
+