diff --git a/soldatkinao/lab1/task-1.py b/soldatkinao/lab1/task-1.py
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+++ b/soldatkinao/lab1/task-1.py
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+# Task 1
+import time
+import random
+import csv
+from collections import defaultdict
+
+def ll_insert(head, name, phone):
+    new = {'name': name, 'phone': phone, 'next': None}
+    if head is None:
+        return new
+    cur = head
+    while cur:
+        if cur['name'] == name:
+            cur['phone'] = phone
+            return head
+        if cur['next'] is None:
+            break
+        cur = cur['next']
+    cur['next'] = new
+    return head
+
+def ll_find(head, name):
+    cur = head
+    while cur:
+        if cur['name'] == name:
+            return cur['phone']
+        cur = cur['next']
+    return None
+
+def ll_delete(head, name):
+    if head is None:
+        return None
+    if head['name'] == name:
+        return head['next']
+    prev = head
+    cur = head['next']
+    while cur:
+        if cur['name'] == name:
+            prev['next'] = cur['next']
+            return head
+        prev = cur
+        cur = cur['next']
+    return head
+
+def ll_list_all(head):
+    rec = []
+    cur = head
+    while cur:
+        rec.append((cur['name'], cur['phone']))
+        cur = cur['next']
+    rec.sort(key=lambda x: x[0])
+    return rec
+
+def gen_data(N=10000):
+    data = []
+    for i in range(N):
+        name = f"user_{i:06d}"
+        phone = f"+7-{random.randint(100,999)}-{random.randint(100,999)}-{random.randint(1000,9999)}"
+        data.append((name, phone))
+    shuffled = data[:]
+    random.shuffle(shuffled)
+    sorted_data = sorted(data, key=lambda x: x[0])
+    return shuffled, sorted_data
+
+# 5 повторений сохраняем все замеры
+def run_test(init_func, ins_func, find_func, del_func, list_func,
+             shuffled, sorted_data, exist_names, missing_names, del_names):
+    """
+    Возвращает список строк для CSV:
+    [порядок, повторение, операция, время]
+    """
+    rows = []
+    for order, dataset in [('shuffled', shuffled), ('sorted', sorted_data)]:
+        for rep in range(5):
+            s = init_func()
+            # вставка
+            t1 = time.perf_counter()
+            for name, phone in dataset:
+                s = ins_func(s, name, phone)
+            t2 = time.perf_counter()
+            rows.append([order, rep+1, 'insert', t2 - t1])
+            # поиск
+            t1 = time.perf_counter()
+            for name in exist_names:
+                find_func(s, name)
+            for name in missing_names:
+                find_func(s, name)
+            t2 = time.perf_counter()
+            rows.append([order, rep+1, 'find', t2 - t1])
+            # удаление
+            t1 = time.perf_counter()
+            for name in del_names:
+                s = del_func(s, name)
+            t2 = time.perf_counter()
+            rows.append([order, rep+1, 'delete', t2 - t1])
+
+            t1 = time.perf_counter()
+            list_func(s)
+            t2 = time.perf_counter()
+            rows.append([order, rep+1, 'list_all', t2 - t1])
+    return rows
+
+if __name__ == '__main__':
+    N = 10000
+    print(f"Генерация {N} записей...")
+    shuffled, sorted_data = gen_data(N)
+
+    exist_names = [name for name, _ in shuffled[:100]]
+    missing_names = [f"none_{i}" for i in range(10)]
+    all_names = [name for name, _ in shuffled]
+    del_names = random.sample(all_names, 50)
+
+    all_rows = []  # для CSV
+
+    print("Связный список...")
+    rows = run_test(lambda: None, ll_insert, ll_find, ll_delete, ll_list_all,
+                    shuffled, sorted_data, exist_names, missing_names, del_names)
+    for r in rows:
+        all_rows.append(['LinkedList'] + r)
+
+    # Запись в CSV
+    with open('results.csv', 'w', newline='', encoding='utf-8') as f:
+        writer = csv.writer(f)
+        writer.writerow(['Структура', 'Порядок', 'Повторение', 'Операция', 'Время (с)'])
+        writer.writerows(all_rows)
+
+    print("Все замеры сохранены в results.csv")
+
+    # Подсчёт и вывод средних
+    avg = defaultdict(list)
+    for row in all_rows:
+        struct, order, rep, op, t = row
+        avg[(struct, order, op)].append(t)
+    print("\nСредние значения (5 запусков):")
+    print(f"{'Структура':<12} {'Порядок':<10} {'Вставка':>10} {'Поиск':>10} {'Удаление':>10} {'ListAll':>10}")
+    for struct in ['LinkedList']:
+        for order in ['shuffled', 'sorted']:
+            row = [struct, order]
+            for op in ['insert', 'find', 'delete', 'list_all']:
+                vals = avg[(struct, order, op)]
+                avg_val = sum(vals)/len(vals)
+                row.append(f"{avg_val:.5f}")
+            print(f"{row[0]:<12} {row[1]:<10} {row[2]:>10} {row[3]:>10} {row[4]:>10} {row[5]:>10}")
+    print("\nГотово (только связный список).")
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