Merge pull request '[1]task1' (#290) from tseremonnikovaaa/2026-rff_mp:task1 into develop

Reviewed-on: #290

tseremonnikovaaa/task 1/docs/data/main.py

@@ -0,0 +1,506 @@
+import time
+import random
+import csv
+import sys
+import matplotlib.pyplot as plt
+import numpy as np
+
+sys.setrecursionlimit(20000)
+
+REPEATS = 5
+N = 10000
+def ll_insert(head, name, phone):
+    current = head
+    prev = None
+    while current is not None:
+        if current['name'] == name:
+            current['phone'] = phone
+            return head
+        prev = current
+        current = current['next']
+    new_node = {'name': name, 'phone': phone, 'next': None}
+    if prev is None:
+        return new_node
+    else:
+        prev['next'] = new_node
+        return head
+
+def ll_find(head, name):
+    current = head
+    while current is not None:
+        if current['name'] == name:
+            return current['phone']
+        current = current['next']
+    return None
+
+def ll_delete(head, name):
+    if head is None:
+        return None
+    if head['name'] == name:
+        return head['next']
+    current = head
+    while current['next'] is not None:
+        if current['next']['name'] == name:
+            current['next'] = current['next']['next']
+            return head
+        current = current['next']
+    return head
+
+def ll_collect_all(head):
+    records = []
+    current = head
+    while current is not None:
+        records.append((current['name'], current['phone']))
+        current = current['next']
+    records.sort(key=lambda x: x[0])
+    return records
+def hash_function(name, size):
+    total = 0
+    for ch in name:
+        total = (total * 31 + ord(ch)) % size
+    return total
+
+def ht_create(size=2000):
+    return [None] * size
+
+def ht_insert(buckets, name, phone):
+    idx = hash_function(name, len(buckets))
+    buckets[idx] = ll_insert(buckets[idx], name, phone)
+
+def ht_find(buckets, name):
+    idx = hash_function(name, len(buckets))
+    return ll_find(buckets[idx], name)
+
+def ht_delete(buckets, name):
+    idx = hash_function(name, len(buckets))
+    buckets[idx] = ll_delete(buckets[idx], name)
+
+def ht_collect_all(buckets):
+    all_records = []
+    for bucket in buckets:
+        current = bucket
+        while current is not None:
+            all_records.append((current['name'], current['phone']))
+            current = current['next']
+    all_records.sort(key=lambda x: x[0])
+    return all_records
+def bst_insert(root, name, phone):
+    new_node = {'name': name, 'phone': phone, 'left': None, 'right': None}
+    if root is None:
+        return new_node
+    current = root
+    while True:
+        if name < current['name']:
+            if current['left'] is None:
+                current['left'] = new_node
+                break
+            current = current['left']
+        elif name > current['name']:
+            if current['right'] is None:
+                current['right'] = new_node
+                break
+            current = current['right']
+        else:
+            current['phone'] = phone
+            break
+    return root
+
+def bst_find(root, name):
+    current = root
+    while current is not None:
+        if name < current['name']:
+            current = current['left']
+        elif name > current['name']:
+            current = current['right']
+        else:
+            return current['phone']
+    return None
+
+def bst_find_min(node):
+    while node['left'] is not None:
+        node = node['left']
+    return node
+
+def bst_delete(root, name):
+    parent = None
+    current = root
+    while current is not None and current['name'] != name:
+        parent = current
+        if name < current['name']:
+            current = current['left']
+        else:
+            current = current['right']
+    if current is None:
+        return root
+    if current['left'] is None and current['right'] is None:
+        if parent is None:
+            return None
+        if parent['left'] is current:
+            parent['left'] = None
+        else:
+            parent['right'] = None
+        return root
+    if current['left'] is None:
+        if parent is None:
+            return current['right']
+        if parent['left'] is current:
+            parent['left'] = current['right']
+        else:
+            parent['right'] = current['right']
+        return root
+    if current['right'] is None:
+        if parent is None:
+            return current['left']
+        if parent['left'] is current:
+            parent['left'] = current['left']
+        else:
+            parent['right'] = current['left']
+        return root
+    succ_parent = current
+    succ = current['right']
+    while succ['left'] is not None:
+        succ_parent = succ
+        succ = succ['left']
+    current['name'] = succ['name']
+    current['phone'] = succ['phone']
+    if succ_parent['left'] is succ:
+        succ_parent['left'] = succ['right']
+    else:
+        succ_parent['right'] = succ['right']
+    return root
+
+def bst_inorder_collect(root, records=None):
+    if records is None:
+        records = []
+    if root is not None:
+        bst_inorder_collect(root['left'], records)
+        records.append((root['name'], root['phone']))
+        bst_inorder_collect(root['right'], records)
+    return records
+def generate_records(N=10000):
+    records = []
+    for i in range(N):
+        name = f"User_{i:05d}"
+        phone = f"+7-999-{random.randint(1000000, 9999999)}"
+        records.append((name, phone))
+    return records
+
+def measure_insertion(struct_type, records):
+    times = []
+    for _ in range(REPEATS):
+        if struct_type == 'll':
+            head = None
+            start = time.perf_counter()
+            for name, phone in records:
+                head = ll_insert(head, name, phone)
+            end = time.perf_counter()
+        elif struct_type == 'ht':
+            buckets = ht_create(2000)
+            start = time.perf_counter()
+            for name, phone in records:
+                ht_insert(buckets, name, phone)
+            end = time.perf_counter()
+        else:
+            root = None
+            start = time.perf_counter()
+            for name, phone in records:
+                root = bst_insert(root, name, phone)
+            end = time.perf_counter()
+        times.append(end - start)
+    return times
+
+def build_structure(struct_type, records):
+    if struct_type == 'll':
+        head = None
+        for name, phone in records:
+            head = ll_insert(head, name, phone)
+        return head
+    elif struct_type == 'ht':
+        buckets = ht_create(2000)
+        for name, phone in records:
+            ht_insert(buckets, name, phone)
+        return buckets
+    else:
+        root = None
+        for name, phone in records:
+            root = bst_insert(root, name, phone)
+        return root
+
+def measure_search(struct_type, structure, records):
+    times = []
+    N_records = len(records)
+    for _ in range(REPEATS):
+        indices = random.sample(range(N_records), 100)
+        existing_names = [records[i][0] for i in indices]
+        missing_names = [f"None_{i}" for i in range(10)]
+        search_names = existing_names + missing_names
+        random.shuffle(search_names)
+        start = time.perf_counter()
+        if struct_type == 'll':
+            for name in search_names:
+                ll_find(structure, name)
+        elif struct_type == 'ht':
+            for name in search_names:
+                ht_find(structure, name)
+        else:
+            for name in search_names:
+                bst_find(structure, name)
+        times.append(time.perf_counter() - start)
+    return times
+
+def measure_deletion(struct_type, records):
+    times = []
+    N_records = len(records)
+    for _ in range(REPEATS):
+        indices = random.sample(range(N_records), 50)
+        delete_names = [records[i][0] for i in indices]
+        if struct_type == 'll':
+            head = None
+            for name, phone in records:
+                head = ll_insert(head, name, phone)
+            start = time.perf_counter()
+            for name in delete_names:
+                head = ll_delete(head, name)
+            end = time.perf_counter()
+        elif struct_type == 'ht':
+            buckets = ht_create(2000)
+            for name, phone in records:
+                ht_insert(buckets, name, phone)
+            start = time.perf_counter()
+            for name in delete_names:
+                ht_delete(buckets, name)
+            end = time.perf_counter()
+        else:
+            root = None
+            for name, phone in records:
+                root = bst_insert(root, name, phone)
+            start = time.perf_counter()
+            for name in delete_names:
+                root = bst_delete(root, name)
+            end = time.perf_counter()
+        times.append(end - start)
+    return times
+def plot_bar_charts(insert_data, search_data, delete_data):
+    """Построение столбчатых диаграмм"""
+    
+    structures = ['ll', 'ht', 'bst']
+    labels = ['Связный список', 'Хеш-таблица', 'Двоичное дерево']
+    mode_labels = ['Случайный порядок', 'Отсортированный порядок']
+    colors = ['skyblue', 'salmon']
+    
+    x = np.arange(len(structures))
+    width = 0.35
+    
+    # График вставки
+    fig1, ax1 = plt.subplots(figsize=(10, 6))
+    means_sh = [sum(insert_data[s]['shuffled'])/len(insert_data[s]['shuffled']) for s in structures]
+    means_so = [sum(insert_data[s]['sorted'])/len(insert_data[s]['sorted']) for s in structures]
+    
+    rects1 = ax1.bar(x - width/2, means_sh, width, label=mode_labels[0], color=colors[0])
+    rects2 = ax1.bar(x + width/2, means_so, width, label=mode_labels[1], color=colors[1])
+    
+    ax1.set_ylabel('Время (секунды)')
+    ax1.set_title('Вставка всех записей (10000 шт.)')
+    ax1.set_xticks(x)
+    ax1.set_xticklabels(labels)
+    ax1.legend()
+    ax1.set_yscale('log')
+    
+    for rect in rects1 + rects2:
+        h = rect.get_height()
+        ax1.annotate(f'{h:.4f}', xy=(rect.get_x() + rect.get_width()/2, h),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=8)
+    
+    plt.tight_layout()
+    plt.savefig('insert_comparison.png', dpi=150)
+    plt.show()
+    print("  График вставки сохранён: insert_comparison.png")
+    
+    # График поиска
+    fig2, ax2 = plt.subplots(figsize=(10, 6))
+    means_sh = [sum(search_data[s]['shuffled'])/len(search_data[s]['shuffled']) for s in structures]
+    means_so = [sum(search_data[s]['sorted'])/len(search_data[s]['sorted']) for s in structures]
+    
+    rects1 = ax2.bar(x - width/2, means_sh, width, label=mode_labels[0], color=colors[0])
+    rects2 = ax2.bar(x + width/2, means_so, width, label=mode_labels[1], color=colors[1])
+    
+    ax2.set_ylabel('Время (секунды)')
+    ax2.set_title('Поиск (100 существующих + 10 отсутствующих)')
+    ax2.set_xticks(x)
+    ax2.set_xticklabels(labels)
+    ax2.legend()
+    
+    for rect in rects1 + rects2:
+        h = rect.get_height()
+        ax2.annotate(f'{h:.6f}', xy=(rect.get_x() + rect.get_width()/2, h),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=8)
+    
+    plt.tight_layout()
+    plt.savefig('search_comparison.png', dpi=150)
+    plt.show()
+    print("  График поиска сохранён: search_comparison.png")
+    
+    # График удаления
+    fig3, ax3 = plt.subplots(figsize=(10, 6))
+    means_sh = [sum(delete_data[s]['shuffled'])/len(delete_data[s]['shuffled']) for s in structures]
+    means_so = [sum(delete_data[s]['sorted'])/len(delete_data[s]['sorted']) for s in structures]
+    
+    rects1 = ax3.bar(x - width/2, means_sh, width, label=mode_labels[0], color=colors[0])
+    rects2 = ax3.bar(x + width/2, means_so, width, label=mode_labels[1], color=colors[1])
+    
+    ax3.set_ylabel('Время (секунды)')
+    ax3.set_title('Удаление 50 случайных записей')
+    ax3.set_xticks(x)
+    ax3.set_xticklabels(labels)
+    ax3.legend()
+    
+    for rect in rects1 + rects2:
+        h = rect.get_height()
+        ax3.annotate(f'{h:.6f}', xy=(rect.get_x() + rect.get_width()/2, h),
+                    xytext=(0, 3), textcoords="offset points", ha='center', va='bottom', fontsize=8)
+    
+    plt.tight_layout()
+    plt.savefig('delete_comparison.png', dpi=150)
+    plt.show()
+    print("   График удаления сохранён: delete_comparison.png")
+
+
+def plot_attempts_graphs(data, op_name, op_title):
+    """Построение графиков по 5 попыткам"""
+    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))
+    
+    struct_config = [
+        ('ll', 'Связный список', 'red', 'o'),
+        ('ht', 'Хеш-таблица', 'green', 's'),
+        ('bst', 'Двоичное дерево', 'blue', '^')
+    ]
+    
+    # Случайный порядок
+    for struct, label, color, marker in struct_config:
+        times = data[struct]['shuffled']
+        x = range(1, len(times) + 1)
+        ax1.plot(x, times, marker=marker, color=color, label=label, 
+                linestyle='--', linewidth=1)
+        ax1.scatter(x, times, color=color, s=60, zorder=5)
+    
+    ax1.set_xlabel('Номер попытки')
+    ax1.set_ylabel('Время (секунды)')
+    ax1.set_title(f'{op_title} – случайный порядок')
+    ax1.legend()
+    ax1.grid(True, linestyle=':', alpha=0.7)
+    
+    # Отсортированный порядок
+    for struct, label, color, marker in struct_config:
+        times = data[struct]['sorted']
+        x = range(1, len(times) + 1)
+        ax2.plot(x, times, marker=marker, color=color, label=label,
+                linestyle='--', linewidth=1)
+        ax2.scatter(x, times, color=color, s=60, zorder=5)
+    
+    ax2.set_xlabel('Номер попытки')
+    ax2.set_ylabel('Время (секунды)')
+    ax2.set_title(f'{op_title} – отсортированный порядок')
+    ax2.legend()
+    ax2.grid(True, linestyle=':', alpha=0.7)
+    
+    plt.tight_layout()
+    plt.savefig(f'{op_name}_5attempts.png', dpi=150)
+    plt.show()
+    print(f"  График {op_name}_5attempts.png сохранён")
+
+def main():
+    print("ЛАБОРАТОРНАЯ РАБОТА №1: СРАВНЕНИЕ СТРУКТУР ДАННЫХ")
+    
+    print("\n1. Генерация тестовых данных...")
+    records = generate_records(N)
+    random.shuffle(records)
+    records_sorted = sorted(records, key=lambda x: x[0])
+    print(f"   Сгенерировано {N} записей")
+
+    results = []
+    struct_names = {'ll': 'Связный список', 'ht': 'Хеш-таблица', 'bst': 'Двоичное дерево'}
+    mode_names = {'shuffled': 'случайный', 'sorted': 'отсортированный'}
+    op_names = {'insert': 'Вставка всех записей', 'find': 'Поиск записей', 'delete': 'Удаление записей'}
+
+    insert_data = {'ll': {}, 'ht': {}, 'bst': {}}
+    search_data = {'ll': {}, 'ht': {}, 'bst': {}}
+    delete_data = {'ll': {}, 'ht': {}, 'bst': {}}
+
+    # Вставка
+    print("\n2. Тестирование ВСТАВКИ (10000 записей):")
+    for struct in ['ll', 'ht', 'bst']:
+        print(f"\n   {struct_names[struct]}:")
+        times_sh = measure_insertion(struct, records)
+        times_so = measure_insertion(struct, records_sorted)
+        insert_data[struct]['shuffled'] = times_sh
+        insert_data[struct]['sorted'] = times_so
+        print(f"      случайный: {[round(t,6) for t in times_sh]}, среднее = {sum(times_sh)/len(times_sh):.6f}")
+        print(f"      отсортированный: {[round(t,6) for t in times_so]}, среднее = {sum(times_so)/len(times_so):.6f}")
+        results.append([struct_names[struct], mode_names['shuffled'], op_names['insert'], sum(times_sh)/len(times_sh)] + times_sh)
+        results.append([struct_names[struct], mode_names['sorted'], op_names['insert'], sum(times_so)/len(times_so)] + times_so)
+
+    # Поиск
+    print("\n3. Тестирование ПОИСКА (110 запросов):")
+    for struct in ['ll', 'ht', 'bst']:
+        print(f"\n   {struct_names[struct]}:")
+        structure_sh = build_structure(struct, records)
+        times_find_sh = measure_search(struct, structure_sh, records)
+        search_data[struct]['shuffled'] = times_find_sh
+        print(f"      случайный: {[round(t,6) for t in times_find_sh]}, среднее = {sum(times_find_sh)/len(times_find_sh):.6f}")
+        results.append([struct_names[struct], mode_names['shuffled'], op_names['find'], sum(times_find_sh)/len(times_find_sh)] + times_find_sh)
+
+        structure_so = build_structure(struct, records_sorted)
+        times_find_so = measure_search(struct, structure_so, records_sorted)
+        search_data[struct]['sorted'] = times_find_so
+        print(f"      отсортированный: {[round(t,6) for t in times_find_so]}, среднее = {sum(times_find_so)/len(times_find_so):.6f}")
+        results.append([struct_names[struct], mode_names['sorted'], op_names['find'], sum(times_find_so)/len(times_find_so)] + times_find_so)
+
+    # Удаление
+    print("\n4. Тестирование УДАЛЕНИЯ (50 записей):")
+    for struct in ['ll', 'ht', 'bst']:
+        print(f"\n   {struct_names[struct]}:")
+        times_del_sh = measure_deletion(struct, records)
+        delete_data[struct]['shuffled'] = times_del_sh
+        print(f"      случайный: {[round(t,6) for t in times_del_sh]}, среднее = {sum(times_del_sh)/len(times_del_sh):.6f}")
+        results.append([struct_names[struct], mode_names['shuffled'], op_names['delete'], sum(times_del_sh)/len(times_del_sh)] + times_del_sh)
+
+        times_del_so = measure_deletion(struct, records_sorted)
+        delete_data[struct]['sorted'] = times_del_so
+        print(f"      отсортированный: {[round(t,6) for t in times_del_so]}, среднее = {sum(times_del_so)/len(times_del_so):.6f}")
+        results.append([struct_names[struct], mode_names['sorted'], op_names['delete'], sum(times_del_so)/len(times_del_so)] + times_del_so)
+
+    # Сохранение CSV
+    print("\n5. Сохранение результатов в CSV...")
+    with open("phonebook_results.csv", "w", newline="", encoding="utf-8") as f:
+        writer = csv.writer(f)
+        writer.writerow(['Структура', 'Режим', 'Операция', 'Среднее', 'Замер1', 'Замер2', 'Замер3', 'Замер4', 'Замер5'])
+        writer.writerows(results)
+    print("  CSV-файл сохранён: phonebook_results.csv")
+
+    # Сводная таблица
+    print("СВОДНАЯ ТАБЛИЦА РЕЗУЛЬТАТОВ (средние значения)")
+    print(f"{'Структура':<20} {'Режим':<15} {'Вставка(с)':<12} {'Поиск(с)':<12} {'Удаление(с)':<12}")
+    print("-" * 70)
+    
+    for struct in ['ll', 'ht', 'bst']:
+        for mode in ['shuffled', 'sorted']:
+            ins_avg = sum(insert_data[struct][mode]) / REPEATS
+            sea_avg = sum(search_data[struct][mode]) / REPEATS
+            del_avg = sum(delete_data[struct][mode]) / REPEATS
+            mode_rus = "случайный" if mode == 'shuffled' else "отсортированный"
+            print(f"{struct_names[struct]:<20} {mode_rus:<15} {ins_avg:<12.6f} {sea_avg:<12.6f} {del_avg:<12.6f}")
+
+    # Построение графиков
+    print("\n6. Построение графиков...")
+    try:
+        plot_bar_charts(insert_data, search_data, delete_data)
+        plot_attempts_graphs(insert_data, 'insert', 'Вставка')
+        plot_attempts_graphs(search_data, 'search', 'Поиск')
+        plot_attempts_graphs(delete_data, 'delete', 'Удаление')
+        print("\n   Все графики успешно сохранены")
+    except Exception as e:
+        print(f"   Ошибка при построении графиков: {e}")
+if __name__ == "__main__":
+    main()
+
+

tseremonnikovaaa/task 1/docs/data/phonebook_results.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Среднее,Замер1,Замер2,Замер3,Замер4,Замер5
+Связный список,случайный,Вставка всех записей,3.7577814000003853,3.7547549000009894,4.714954399998533,3.444005000001198,3.4518932000028144,3.423299499998393
+Связный список,отсортированный,Вставка всех записей,3.1234334600005242,3.1089575000005425,3.2897176000005857,3.2068743000018003,2.992147000000841,3.0194708999988507
+Хеш-таблица,случайный,Вставка всех записей,0.01707952000069781,0.019611799998529023,0.016021200000977842,0.016751300001487834,0.0166919000002963,0.01632140000219806
+Хеш-таблица,отсортированный,Вставка всех записей,0.015740299999743003,0.015199699999357108,0.015383899997686967,0.015607799999997951,0.01595409999936237,0.01655600000231061
+Двоичное дерево,случайный,Вставка всех записей,0.03259613999980502,0.020392300000821706,0.02241409999987809,0.08032649999950081,0.02091419999851496,0.018933600000309525
+Двоичное дерево,отсортированный,Вставка всех записей,5.587171799999487,6.069779999997991,5.295106199999282,5.2516906000018935,5.968475800000306,5.350806399997964
+Связный список,случайный,Поиск записей,0.04256463999990956,0.039015399997879285,0.047764200000528945,0.04185150000193971,0.04288379999707104,0.04130830000212882
+Связный список,отсортированный,Поиск записей,0.03533787999913329,0.03831979999813484,0.03551620000143885,0.033227799998712726,0.034846200000174576,0.034779399997205473
+Хеш-таблица,случайный,Поиск записей,0.00018929999932879583,0.00021239999841782264,0.00018679999993764795,0.00018500000078347512,0.00017979999756789766,0.00018249999993713573
+Хеш-таблица,отсортированный,Поиск записей,0.00019069999980274587,0.00019740000061574392,0.00019410000095376745,0.0001992999968933873,0.00017970000044442713,0.0001830000001064036
+Двоичное дерево,случайный,Поиск записей,0.00021590000033029356,0.00024810000104480423,0.0002229999990959186,0.00021040000137872994,0.00020560000120894983,0.00019239999892306514
+Двоичное дерево,отсортированный,Поиск записей,0.04444347999960883,0.0411448000013479,0.04647309999927529,0.045536099998571444,0.04352210000070045,0.04554129999814904
+Связный список,случайный,Удаление записей,0.024450240000442137,0.029107700000167824,0.026141900001675822,0.024585999999544583,0.02166159999978845,0.020754000001034
+Связный список,отсортированный,Удаление записей,0.0217564400008996,0.018747900001471862,0.026504800000111572,0.020920700000715442,0.022756800000934163,0.01985200000126497
+Хеш-таблица,случайный,Удаление записей,8.250000100815669e-05,7.800000093993731e-05,7.380000170087442e-05,7.700000060140155e-05,7.059999916236848e-05,0.00011310000263620168
+Хеш-таблица,отсортированный,Удаление записей,7.353999899351038e-05,7.029999687802047e-05,7.48999991628807e-05,7.550000009359792e-05,6.959999882383272e-05,7.74000000092201e-05
+Двоичное дерево,случайный,Удаление записей,0.00011504000067361631,0.00011150000136694871,0.00010340000153519213,9.219999992637895e-05,0.0001550999986648094,0.00011300000187475234
+Двоичное дерево,отсортированный,Удаление записей,0.025109319999319268,0.01966069999980391,0.02953200000047218,0.0236769999974058,0.02822290000040084,0.02445399999851361