forked from UNN/2026-rff_mp
284 lines
7.7 KiB
Python
284 lines
7.7 KiB
Python
import random
|
|
import time
|
|
import csv
|
|
import sys
|
|
|
|
sys.setrecursionlimit(20000)
|
|
|
|
def ll_insert(head, name, phone):
|
|
data = {'name': name, 'phone': phone, "next": None}
|
|
|
|
if head is None:
|
|
return data
|
|
|
|
current = head
|
|
while current:
|
|
if current['name'] == name:
|
|
current['phone'] = phone
|
|
return head
|
|
if current['next'] is None:
|
|
last = current
|
|
current = current['next']
|
|
|
|
last['next'] = data
|
|
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']
|
|
|
|
prev = head
|
|
current = head['next']
|
|
while current:
|
|
if current['name'] == name:
|
|
prev['next'] = current['next']
|
|
return head
|
|
prev = current
|
|
current = current['next']
|
|
return head
|
|
|
|
|
|
def ll_list_all(head):
|
|
data_list = []
|
|
current = head
|
|
while current:
|
|
data_list.append({'name': current['name'], 'phone': current['phone']})
|
|
current = current['next']
|
|
data_list.sort(key=lambda x: x['name'])
|
|
return data_list
|
|
|
|
|
|
def hash_function(name, size):
|
|
return hash(name) % size
|
|
|
|
|
|
def ht_insert(buckets, name, phone):
|
|
index = hash_function(name, len(buckets))
|
|
head = buckets[index]
|
|
new_head = ll_insert(head, name, phone)
|
|
buckets[index] = new_head
|
|
return buckets
|
|
|
|
|
|
def ht_find(buckets, name):
|
|
index = hash_function(name, len(buckets))
|
|
head = buckets[index]
|
|
return ll_find(head, name)
|
|
|
|
|
|
def ht_delete(buckets, name):
|
|
index = hash_function(name, len(buckets))
|
|
head = buckets[index]
|
|
new_head = ll_delete(head, name)
|
|
buckets[index] = new_head
|
|
return buckets
|
|
|
|
|
|
def ht_list_all(buckets):
|
|
all_records = []
|
|
for head in buckets:
|
|
current = head
|
|
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 create_node(name, phone):
|
|
return {'name': name, 'phone': phone, 'left': None, 'right': None}
|
|
|
|
|
|
def bst_insert(root, name, phone):
|
|
if root is None:
|
|
return create_node(name, phone)
|
|
|
|
if name == root['name']:
|
|
root['phone'] = phone
|
|
elif name < root['name']:
|
|
root['left'] = bst_insert(root['left'], name, phone)
|
|
else:
|
|
root['right'] = bst_insert(root['right'], name, 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 find_min(node):
|
|
while node['left'] is not None:
|
|
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 = find_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):
|
|
result = []
|
|
|
|
def inorder(node):
|
|
if node is None:
|
|
return
|
|
inorder(node['left'])
|
|
result.append((node['name'], node['phone']))
|
|
inorder(node['right'])
|
|
|
|
inorder(root)
|
|
return result
|
|
|
|
def generate_records(n, seed=50): #почти в точности позаимствовано, просто понял что можно уже существующие в отдельный список заносить
|
|
random.seed(seed)
|
|
records = []
|
|
for i in range(1, n + 1):
|
|
name = f"User_{i:05d}"
|
|
phone = "8" + ''.join(str(random.randint(0, 9)) for _ in range(10))
|
|
records.append((name, phone))
|
|
return records
|
|
|
|
def prepare_datasets(base_records):
|
|
shuffled = base_records.copy()
|
|
random.shuffle(shuffled)
|
|
sorted_records = sorted(base_records, key=lambda x: x[0])
|
|
return shuffled, sorted_records
|
|
|
|
def run_experiment(struct_funcs, records, mode_name, repeats=5):
|
|
results = []
|
|
for rep in range(repeats):
|
|
struct = struct_funcs['create']()
|
|
|
|
start = time.perf_counter()
|
|
for name, phone in records:
|
|
struct = struct_funcs['insert'](struct, name, phone)
|
|
end = time.perf_counter()
|
|
insert_time = end - start
|
|
|
|
existing_names = [name for name, _ in records]
|
|
sample_existing = random.sample(existing_names, 100)
|
|
nonexistent = [f"None_{i}" for i in range(10)]
|
|
search_names = sample_existing + nonexistent
|
|
random.shuffle(search_names)
|
|
|
|
start = time.perf_counter()
|
|
for name in search_names:
|
|
_ = struct_funcs['find'](struct, name)
|
|
end = time.perf_counter()
|
|
find_time = end - start
|
|
|
|
to_delete = random.sample(existing_names, 10)
|
|
start = time.perf_counter()
|
|
for name in to_delete:
|
|
struct = struct_funcs['delete'](struct, name)
|
|
end = time.perf_counter()
|
|
delete_time = end - start
|
|
|
|
results.append({
|
|
'structure': struct_funcs['name'],
|
|
'mode': mode_name,
|
|
'repetition': rep + 1,
|
|
'insert_time': insert_time,
|
|
'find_time': find_time,
|
|
'delete_time': delete_time
|
|
})
|
|
return results
|
|
|
|
def main():
|
|
N = 1000
|
|
base_records = generate_records(N)
|
|
shuffled, sorted_records = prepare_datasets(base_records)
|
|
|
|
structures = {
|
|
'LinkedList': {
|
|
'name': 'LinkedList',
|
|
'create': lambda: None,
|
|
'insert': ll_insert,
|
|
'find': ll_find,
|
|
'delete': ll_delete,
|
|
'list_all': ll_list_all
|
|
},
|
|
'HashTable': {
|
|
'name': 'HashTable',
|
|
'create': lambda: [None] * 10,
|
|
'insert': ht_insert,
|
|
'find': ht_find,
|
|
'delete': ht_delete,
|
|
'list_all': ht_list_all
|
|
},
|
|
'BST': {
|
|
'name': 'BST',
|
|
'create': lambda: None,
|
|
'insert': bst_insert,
|
|
'find': bst_find,
|
|
'delete': bst_delete,
|
|
'list_all': bst_list_all
|
|
}
|
|
}
|
|
|
|
all_results = []
|
|
repeats = 5
|
|
|
|
for struct_name, funcs in structures.items():
|
|
print(f"Тестирование {struct_name} на случайном порядке...")
|
|
res = run_experiment(funcs, shuffled, 'random', repeats)
|
|
all_results.extend(res)
|
|
|
|
print(f"Тестирование {struct_name} на отсортированном порядке...")
|
|
res = run_experiment(funcs, sorted_records, 'sorted', repeats)
|
|
all_results.extend(res)
|
|
|
|
with open('experiment_results.csv', 'w', newline='', encoding='utf-8') as f:
|
|
writer = csv.writer(f)
|
|
writer.writerow(['Structure', 'Mode', 'Repeat', 'Insert (sec)', 'Search (sec)', 'Delete (sec)'])
|
|
for r in all_results:
|
|
writer.writerow([
|
|
r['structure'],
|
|
r['mode'],
|
|
r['repetition'],
|
|
f"{r['insert_time']:.6f}",
|
|
f"{r['find_time']:.6f}",
|
|
f"{r['delete_time']:.6f}"
|
|
])
|
|
|
|
print("Эксперимент завершён. Результаты сохранены в experiment_results.csv.")
|
|
|
|
if __name__ == '__main__':
|
|
main() |