[2] добавлен main.py

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SokolovNE 2026-05-24 14:06:09 +00:00
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import time
import csv
import random
import copy
import os
# ============================================================
# 1. СВЯЗНЫЙ СПИСОК (LinkedList)
# ============================================================
def ll_insert(head, name, phone):
if head is None:
return {'name': name, 'phone': phone, 'next': None}
curr = head
while curr is not None:
if curr['name'] == name:
curr['phone'] = phone
return head
curr = curr['next']
new_node = {'name': name, 'phone': phone, 'next': None}
curr = head
while curr['next'] is not None:
curr = curr['next']
curr['next'] = new_node
return head
def ll_find(head, name):
curr = head
while curr is not None:
if curr['name'] == name:
return curr['phone']
curr = curr['next']
return None
def ll_delete(head, name):
if head is None:
return None
if head['name'] == name:
return head['next']
prev = head
curr = head['next']
while curr is not None:
if curr['name'] == name:
prev['next'] = curr['next']
return head
prev = curr
curr = curr['next']
return head
def ll_list_all(head):
records = []
curr = head
while curr is not None:
records.append((curr['name'], curr['phone']))
curr = curr['next']
records.sort(key=lambda x: x[0])
return records
# ============================================================
# 2. ХЕШ-ТАБЛИЦА (HashTable)
# ============================================================
def _hash(name, bucket_count):
return sum(ord(ch) for ch in name) % bucket_count
def ht_create(bucket_count=1000):
return [None] * bucket_count
def ht_insert(buckets, name, phone):
idx = _hash(name, len(buckets))
buckets[idx] = ll_insert(buckets[idx], name, phone)
def ht_find(buckets, name):
idx = _hash(name, len(buckets))
return ll_find(buckets[idx], name)
def ht_delete(buckets, name):
idx = _hash(name, len(buckets))
buckets[idx] = ll_delete(buckets[idx], name)
def ht_list_all(buckets):
all_records = []
for head in buckets:
curr = head
while curr is not None:
all_records.append((curr['name'], curr['phone']))
curr = curr['next']
all_records.sort(key=lambda x: x[0])
return all_records
# ============================================================
# 3. ДВОИЧНОЕ ДЕРЕВО ПОИСКА (BST) — итеративная версия
# ============================================================
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']:
return current['phone']
elif name < current['name']:
current = current['left']
else:
current = current['right']
return None
def bst_min_node(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:
child = current['right']
elif current['right'] is None:
child = current['left']
else:
successor_parent = current
successor = current['right']
while successor['left'] is not None:
successor_parent = successor
successor = successor['left']
current['name'] = successor['name']
current['phone'] = successor['phone']
if successor_parent['left'] is successor:
successor_parent['left'] = successor['right']
else:
successor_parent['right'] = successor['right']
return root
if parent is None:
return child
if parent['left'] is current:
parent['left'] = child
else:
parent['right'] = child
return root
def bst_list_all(root):
result = []
stack = []
current = root
while stack or current is not None:
while current is not None:
stack.append(current)
current = current['left']
current = stack.pop()
result.append((current['name'], current['phone']))
current = current['right']
return result
# ============================================================
# 4. ГЕНЕРАЦИЯ ТЕСТОВЫХ ДАННЫХ
# ============================================================
def generate_records(N=5000):
records = [(f"User_{i:05d}", f"phone_{i}") for i in range(N)]
shuffled = copy.deepcopy(records)
random.shuffle(shuffled)
return shuffled, records
# ============================================================
# 5. ЗАМЕРЫ ДЛЯ LINKEDLIST
# ============================================================
def test_linked_list(records_shuffled, records_sorted, results):
N = len(records_shuffled)
# Вставка shuffled
times = []
for _ in range(5):
head = None
start = time.perf_counter()
for name, phone in records_shuffled:
head = ll_insert(head, name, phone)
times.append(time.perf_counter() - start)
results.append(["LinkedList", "shuffled", "insert", sum(times) / 5] + times)
# Вставка sorted
times = []
for _ in range(5):
head = None
start = time.perf_counter()
for name, phone in records_sorted:
head = ll_insert(head, name, phone)
times.append(time.perf_counter() - start)
results.append(["LinkedList", "sorted", "insert", sum(times) / 5] + times)
# Подготовка для поиска/удаления
head = None
for name, phone in records_shuffled:
head = ll_insert(head, name, phone)
# Поиск
existing = [f"User_{i:05d}" for i in random.sample(range(N), 100)]
nonexisting = [f"None_{i}" for i in range(10)]
search_names = existing + nonexisting
times = []
for _ in range(5):
start = time.perf_counter()
for name in search_names:
ll_find(head, name)
times.append(time.perf_counter() - start)
results.append(["LinkedList", "shuffled", "search", sum(times) / 5] + times)
# Удаление
delete_names = [f"User_{i:05d}" for i in random.sample(range(N), 50)]
times = []
for _ in range(5):
head_copy = None
for name, phone in records_shuffled:
head_copy = ll_insert(head_copy, name, phone)
start = time.perf_counter()
for name in delete_names:
head_copy = ll_delete(head_copy, name)
times.append(time.perf_counter() - start)
results.append(["LinkedList", "shuffled", "delete", sum(times) / 5] + times)
# ============================================================
# 6. ЗАМЕРЫ ДЛЯ ХЕШ-ТАБЛИЦЫ
# ============================================================
def test_hash_table(records_shuffled, records_sorted, results):
N = len(records_shuffled)
bucket_count = 1000
# Вставка shuffled
times = []
for _ in range(5):
buckets = ht_create(bucket_count)
start = time.perf_counter()
for name, phone in records_shuffled:
ht_insert(buckets, name, phone)
times.append(time.perf_counter() - start)
results.append(["HashTable", "shuffled", "insert", sum(times) / 5] + times)
# Вставка sorted
times = []
for _ in range(5):
buckets = ht_create(bucket_count)
start = time.perf_counter()
for name, phone in records_sorted:
ht_insert(buckets, name, phone)
times.append(time.perf_counter() - start)
results.append(["HashTable", "sorted", "insert", sum(times) / 5] + times)
# Подготовка
buckets = ht_create(bucket_count)
for name, phone in records_shuffled:
ht_insert(buckets, name, phone)
# Поиск
existing = [f"User_{i:05d}" for i in random.sample(range(N), 100)]
nonexisting = [f"None_{i}" for i in range(10)]
search_names = existing + nonexisting
times = []
for _ in range(5):
start = time.perf_counter()
for name in search_names:
ht_find(buckets, name)
times.append(time.perf_counter() - start)
results.append(["HashTable", "shuffled", "search", sum(times) / 5] + times)
# Удаление
delete_names = [f"User_{i:05d}" for i in random.sample(range(N), 50)]
times = []
for _ in range(5):
buckets_copy = ht_create(bucket_count)
for name, phone in records_shuffled:
ht_insert(buckets_copy, name, phone)
start = time.perf_counter()
for name in delete_names:
ht_delete(buckets_copy, name)
times.append(time.perf_counter() - start)
results.append(["HashTable", "shuffled", "delete", sum(times) / 5] + times)
# ============================================================
# 7. ЗАМЕРЫ ДЛЯ BST
# ============================================================
def test_bst(records_shuffled, records_sorted, results):
N = len(records_shuffled)
# Вставка shuffled
times = []
for _ in range(5):
root = None
start = time.perf_counter()
for name, phone in records_shuffled:
root = bst_insert(root, name, phone)
times.append(time.perf_counter() - start)
results.append(["BST", "shuffled", "insert", sum(times) / 5] + times)
# Вставка sorted
times = []
for _ in range(5):
root = None
start = time.perf_counter()
for name, phone in records_sorted:
root = bst_insert(root, name, phone)
times.append(time.perf_counter() - start)
results.append(["BST", "sorted", "insert", sum(times) / 5] + times)
# Подготовка
root = None
for name, phone in records_shuffled:
root = bst_insert(root, name, phone)
# Поиск
existing = [f"User_{i:05d}" for i in random.sample(range(N), 100)]
nonexisting = [f"None_{i}" for i in range(10)]
search_names = existing + nonexisting
times = []
for _ in range(5):
start = time.perf_counter()
for name in search_names:
bst_find(root, name)
times.append(time.perf_counter() - start)
results.append(["BST", "shuffled", "search", sum(times) / 5] + times)
# Удаление
delete_names = [f"User_{i:05d}" for i in random.sample(range(N), 50)]
times = []
for _ in range(5):
root_copy = None
for name, phone in records_shuffled:
root_copy = bst_insert(root_copy, name, phone)
start = time.perf_counter()
for name in delete_names:
root_copy = bst_delete(root_copy, name)
times.append(time.perf_counter() - start)
results.append(["BST", "shuffled", "delete", sum(times) / 5] + times)
# ============================================================
# 8. СОХРАНЕНИЕ РЕЗУЛЬТАТОВ В CSV
# ============================================================
def save_results(results, filename="docs/data/results.csv"):
os.makedirs("docs/data", exist_ok=True)
with open(filename, "w", newline="", encoding="utf-8") as f:
writer = csv.writer(f)
writer.writerow(["Structure", "Mode", "Operation", "AvgSec", "Run1", "Run2", "Run3", "Run4", "Run5"])
for row in results:
writer.writerow(row)
print(f"Результаты сохранены в {filename}")
# ============================================================
# 9. ПОСТРОЕНИЕ ГРАФИКОВ
# ============================================================
def plot_results():
"""Построение графиков по результатам из CSV"""
try:
import matplotlib.pyplot as plt
import pandas as pd
except ImportError:
print("Библиотеки matplotlib или pandas не установлены. Пропускаем графики.")
print("Установите: pip install matplotlib pandas")
return
try:
df = pd.read_csv("docs/data/results.csv")
except FileNotFoundError:
print("Файл results.csv не найден. Сначала запустите main.py для генерации данных.")
return
operations = df["Operation"].unique()
for op in operations:
subset = df[df["Operation"] == op]
plt.figure(figsize=(10, 6))
labels = [f"{row.Structure}\n({row.Mode})" for _, row in subset.iterrows()]
values = subset["AvgSec"]
plt.bar(labels, values, color=['blue', 'orange', 'green', 'red', 'purple', 'brown'])
plt.title(f"Сравнение времени {op} (5 замеров, N=5000)")
plt.ylabel("Время (секунды)")
plt.xticks(rotation=45)
plt.tight_layout()
filename = f"docs/graph_{op}.png"
plt.savefig(filename)
print(f"Сохранён график: {filename}")
plt.close()
print("\nГрафики построены и сохранены в папке docs/")
# ============================================================
# 10. MAIN
# ============================================================
def main():
print("Генерация тестовых данных (N=5000)...")
shuffled, sorted_records = generate_records(5000)
results = []
print("Тестирование LinkedList...")
test_linked_list(shuffled, sorted_records, results)
print("Тестирование HashTable...")
test_hash_table(shuffled, sorted_records, results)
print("Тестирование BST...")
test_bst(shuffled, sorted_records, results)
save_results(results)
# Построение графиков
plot_results()
print("\nГотово! Файл results.csv и графики сохранены в папке docs/")
if __name__ == "__main__":
main()