2026-rff_mp/KuzminskiyAA/Task 1/Dogs/Data/1.py

import time
import random
import csv
import matplotlib.pyplot as plt
import numpy as np

def ll_insert(head, name, phone):
    new_node = {'name': name, 'phone': phone, 'next': None}
    if head is None:
        return new_node
    current = head
    while current:
        if current['name'] == name:
            current['phone'] = phone
            return head
        if current['next'] is None:
            current['next'] = new_node
            return head
        current = current['next']
    return head

def ll_find(head, name):
    current = head
    while current:
        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']:
        if current['next']['name'] == name:
            current['next'] = current['next']['next']
            return head
        current = current['next']
    return head

def ll_list_all(head):
    records = []
    current = head
    while current:
        records.append((current['name'], current['phone']))
        current = current['next']
    return sorted(records, key=lambda x: x[0])
def hash_func(name, size):
    return sum(ord(c) for c in name) % size

def ht_create(size=1000):
    return [None] * size

def ht_insert(table, name, phone):
    idx = hash_func(name, len(table))
    table[idx] = ll_insert(table[idx], name, phone)

def ht_find(table, name):
    idx = hash_func(name, len(table))
    return ll_find(table[idx], name)

def ht_delete(table, name):
    idx = hash_func(name, len(table))
    table[idx] = ll_delete(table[idx], name)

def ht_list_all(table):
    records = []
    for bucket in table:
        current = bucket
        while current:
            records.append((current['name'], current['phone']))
            current = current['next']
    return sorted(records, key=lambda x: x[0])
def bst_insert(root, name, phone):
    if root is None:
        return {'name': name, 'phone': phone, 'left': None, 'right': None}
    if name < root['name']:
        root['left'] = bst_insert(root['left'], name, phone)
    elif name > root['name']:
        root['right'] = bst_insert(root['right'], name, phone)
    else:
        root['phone'] = phone
    return root

def bst_find(root, name):
    if root is None:
        return None
    if name == root['name']:
        return root['phone']
    elif name < root['name']:
        return bst_find(root['left'], name)
    else:
        return bst_find(root['right'], name)

def bst_min(node):
    while node and node['left']:
        node = node['left']
    return node

def bst_delete(root, name):
    if root is None:
        return None
    if name < root['name']:
        root['left'] = bst_delete(root['left'], name)
    elif name > root['name']:
        root['right'] = bst_delete(root['right'], name)
    else:
        if root['left'] is None:
            return root['right']
        if root['right'] is None:
            return root['left']
        min_node = bst_min(root['right'])
        root['name'] = min_node['name']
        root['phone'] = min_node['phone']
        root['right'] = bst_delete(root['right'], min_node['name'])
    return root

def bst_list_all(root):
    records = []
    if root:
        records.extend(bst_list_all(root['left']))
        records.append((root['name'], root['phone']))
        records.extend(bst_list_all(root['right']))
    return records
def generate_data(n=2000):
    random_data = [(f"User_{i:05d}", str(i)) for i in range(n)]
    random.shuffle(random_data)
    sorted_data = sorted(random_data, key=lambda x: x[0])
    return random_data, sorted_data
def run_test(data, struct_name, create, insert, find, delete):
    times = {'insert': [], 'search': [], 'delete': []}
    
    for _ in range(5):
        s = create()
        
        start = time.perf_counter()
        if struct_name == 'LinkedList' or struct_name == 'BST':
            for name, phone in data:
                s = insert(s, name, phone)
        else:
            for name, phone in data:
                insert(s, name, phone)
        times['insert'].append(time.perf_counter() - start)
        
        names = [random.choice(data)[0] for _ in range(100)] + [f"None_{i}" for i in range(10)]
        start = time.perf_counter()
        for name in names:
            find(s, name)
        times['search'].append(time.perf_counter() - start)
        
        del_names = [random.choice(data)[0] for _ in range(50)]
        start = time.perf_counter()
        for name in del_names:
            if struct_name == 'LinkedList' or struct_name == 'BST':
                s = delete(s, name)
            else:
                delete(s, name)
        times['delete'].append(time.perf_counter() - start)
    
    return {op: sum(t)/len(t) for op, t in times.items()}
def plot_results(data_matrix):
    structures = ['LinkedList', 'HashTable', 'BST']
    operations = ['insert', 'search', 'delete']
    modes = ['random', 'sorted']
    
    fig, axes = plt.subplots(2, 2, figsize=(14, 12))
    
    x = np.arange(len(structures))
    width = 0.25
    
    for i, op in enumerate(operations):
        values = [data_matrix[s]['random'][op] for s in structures]
        axes[0,0].bar(x + i*width, values, width, label=op)
    axes[0,0].set_xlabel('Структура данных')
    axes[0,0].set_ylabel('Время (секунды)')
    axes[0,0].set_title('Случайный порядок данных')
    axes[0,0].set_xticks(x + width, structures)
    axes[0,0].legend()
    axes[0,0].grid(True, alpha=0.3)
    
    for i, op in enumerate(operations):
        values = [data_matrix[s]['sorted'][op] for s in structures]
        axes[0,1].bar(x + i*width, values, width, label=op)
    axes[0,1].set_xlabel('Структура данных')
    axes[0,1].set_ylabel('Время (секунды)')
    axes[0,1].set_title('Отсортированный порядок данных')
    axes[0,1].set_xticks(x + width, structures)
    axes[0,1].legend()
    axes[0,1].grid(True, alpha=0.3)
    
    x = np.arange(len(operations))
    width = 0.35
    for i, mode in enumerate(modes):
        values = [data_matrix['BST'][mode][op] for op in operations]
        axes[1,0].bar(x + i*width, values, width, label=mode)
    axes[1,0].set_xlabel('Операция')
    axes[1,0].set_ylabel('Время (секунды)')
    axes[1,0].set_title('BST: влияние порядка данных')
    axes[1,0].set_xticks(x + width/2, operations)
    axes[1,0].legend()
    axes[1,0].grid(True, alpha=0.3)
    
    for struct in structures:
        times_random = [data_matrix[struct]['random'][op] for op in operations]
        times_sorted = [data_matrix[struct]['sorted'][op] for op in operations]
        axes[1,1].plot(operations, times_random, marker='o', label=f'{struct} случайный')
        axes[1,1].plot(operations, times_sorted, marker='s', linestyle='--', label=f'{struct} отсортированный')
    axes[1,1].set_yscale('log')
    axes[1,1].set_xlabel('Операция')
    axes[1,1].set_ylabel('Время (секунды) - логарифмическая шкала')
    axes[1,1].set_title('Сравнение производительности')
    axes[1,1].legend()
    axes[1,1].grid(True, alpha=0.3)
    
    plt.tight_layout()
    plt.savefig('performance_graphs.png')
    plt.show()
random_data, sorted_data = generate_data(2000)

structs = [
    ('LinkedList', lambda: None, ll_insert, ll_find, ll_delete),
    ('HashTable', lambda: ht_create(2000), ht_insert, ht_find, ht_delete),
    ('BST', lambda: None, bst_insert, bst_find, bst_delete)
]

data_matrix = {'LinkedList': {'random': {}, 'sorted': {}},
               'HashTable': {'random': {}, 'sorted': {}},
               'BST': {'random': {}, 'sorted': {}}}

for name, create, insert, find, delete in structs:
    for order, data in [('random', random_data), ('sorted', sorted_data)]:
        times = run_test(data, name, create, insert, find, delete)
        data_matrix[name][order] = times

with open('results.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerow(['структура', 'порядок_данных', 'операция', 'время_секунды'])
    for name in ['LinkedList', 'HashTable', 'BST']:
        for order in ['random', 'sorted']:
            for op in ['insert', 'search', 'delete']:
                writer.writerow([name, order, op, data_matrix[name][order][op]])

plot_results(data_matrix)

print("\n РЕЗУЛЬТАТЫ")
for name in ['LinkedList', 'HashTable', 'BST']:
    for order in ['random', 'sorted']:
        print(f"{name} {order}: вставка={data_matrix[name][order]['insert']:.6f}, поиск={data_matrix[name][order]['search']:.6f}, удаление={data_matrix[name][order]['delete']:.6f}")