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Smirnovvs 2026-09-04 17:34:55 +00:00
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"""Экспериментальное сравнение структур данных."""
import argparse
import csv
import random
from pathlib import Path
from statistics import mean
from time import perf_counter
from phonebook import (
bst_delete, bst_find, bst_insert,
ht_delete, ht_find, ht_insert,
ll_delete, ll_find, ll_insert,
)
def generate_records(size):
return [(f"User_{index:05d}", f"+7{index:010d}") for index in range(size)]
def measure_once(structure, records, existing_names, missing_names, deleted_names, bucket_count):
started = perf_counter()
if structure == "LinkedList":
data = None
for name, phone in records:
data = ll_insert(data, name, phone)
insert_time = perf_counter() - started
started = perf_counter()
for name in existing_names + missing_names:
ll_find(data, name)
find_time = perf_counter() - started
started = perf_counter()
for name in deleted_names:
data = ll_delete(data, name)
delete_time = perf_counter() - started
elif structure == "HashTable":
data = [None] * bucket_count
for name, phone in records:
ht_insert(data, name, phone)
insert_time = perf_counter() - started
started = perf_counter()
for name in existing_names + missing_names:
ht_find(data, name)
find_time = perf_counter() - started
started = perf_counter()
for name in deleted_names:
ht_delete(data, name)
delete_time = perf_counter() - started
else:
data = None
for name, phone in records:
data = bst_insert(data, name, phone)
insert_time = perf_counter() - started
started = perf_counter()
for name in existing_names + missing_names:
bst_find(data, name)
find_time = perf_counter() - started
started = perf_counter()
for name in deleted_names:
data = bst_delete(data, name)
delete_time = perf_counter() - started
return {"insert": insert_time, "find_110": find_time, "delete_50": delete_time}
def run_experiment(size=3000, repeats=5, seed=2026, output_dir="docs/data"):
rng = random.Random(seed)
sorted_records = generate_records(size)
shuffled_records = sorted_records.copy()
rng.shuffle(shuffled_records)
modes = {"shuffled": shuffled_records, "sorted": sorted_records}
rows = []
for mode, records in modes.items():
names = [record[0] for record in records]
test_cases = []
for run in range(1, repeats + 1):
test_cases.append((
run,
rng.sample(names, min(100, size)),
[f"None_{index}" for index in range(10)],
rng.sample(names, min(50, size)),
))
for structure in ("LinkedList", "HashTable", "BST"):
for run, existing, missing, deleted in test_cases:
timings = measure_once(structure, records, existing, missing, deleted, max(17, size * 2 + 1))
for operation, elapsed in timings.items():
rows.append({
"structure": structure,
"mode": mode,
"operation": operation,
"run": run,
"time_seconds": elapsed,
})
output = Path(output_dir)
output.mkdir(parents=True, exist_ok=True)
raw_path = output / "results_raw.csv"
with raw_path.open("w", newline="", encoding="utf-8-sig") as file:
writer = csv.DictWriter(file, fieldnames=rows[0].keys())
writer.writeheader()
writer.writerows(rows)
groups = {}
for row in rows:
key = (row["structure"], row["mode"], row["operation"])
groups.setdefault(key, []).append(row["time_seconds"])
summary = [
{"structure": key[0], "mode": key[1], "operation": key[2], "mean_seconds": mean(values)}
for key, values in groups.items()
]
summary_path = output / "results_summary.csv"
with summary_path.open("w", newline="", encoding="utf-8-sig") as file:
writer = csv.DictWriter(file, fieldnames=summary[0].keys())
writer.writeheader()
writer.writerows(summary)
return raw_path, summary_path
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Сравнение структур телефонного справочника")
parser.add_argument("--size", type=int, default=3000)
parser.add_argument("--repeats", type=int, default=5)
args = parser.parse_args()
raw, summary = run_experiment(args.size, args.repeats)
print(f"Полные замеры: {raw}\nСредние значения: {summary}")

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from phonebook import ht_delete, ht_find, ht_insert, ht_list_all
def main():
phonebook = [None] * 101
print("Телефонный справочник. Команды: add, find, delete, list, exit")
while True:
command = input("> ").strip().lower()
if command == "add":
ht_insert(phonebook, input("Имя: ").strip(), input("Телефон: ").strip())
elif command == "find":
print(ht_find(phonebook, input("Имя: ").strip()) or "Запись не найдена")
elif command == "delete":
ht_delete(phonebook, input("Имя: ").strip())
elif command == "list":
for name, phone in ht_list_all(phonebook):
print(f"{name}: {phone}")
elif command == "exit":
break
else:
print("Неизвестная команда")
if __name__ == "__main__":
main()

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"""Телефонный справочник на трёх структурах данных."""
def _node(name, phone, next_node=None):
return {"name": name, "phone": phone, "next": next_node}
def ll_insert(head, name, phone):
"""Добавить запись в конец списка или обновить существующую."""
if head is None:
return _node(name, phone)
current = head
while True:
if current["name"] == name:
current["phone"] = phone
return head
if current["next"] is None:
current["next"] = _node(name, phone)
return head
current = current["next"]
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"]
previous, current = head, head["next"]
while current is not None:
if current["name"] == name:
previous["next"] = current["next"]
break
previous, current = current, current["next"]
return head
def ll_list_all(head):
records = []
current = head
while current is not None:
records.append((current["name"], current["phone"]))
current = current["next"]
return sorted(records, key=lambda record: record[0])
def _require_buckets(buckets):
if not buckets:
raise ValueError("Хеш-таблица должна содержать хотя бы один бакет")
def _hash_index(name, bucket_count):
"""Хеш-функция."""
value = 0
for character in name:
value = (value * 31 + ord(character)) % bucket_count
return value
def ht_insert(buckets, name, phone):
_require_buckets(buckets)
index = _hash_index(name, len(buckets))
buckets[index] = ll_insert(buckets[index], name, phone)
def ht_find(buckets, name):
_require_buckets(buckets)
return ll_find(buckets[_hash_index(name, len(buckets))], name)
def ht_delete(buckets, name):
_require_buckets(buckets)
index = _hash_index(name, len(buckets))
buckets[index] = ll_delete(buckets[index], name)
def ht_list_all(buckets):
_require_buckets(buckets)
records = []
for head in buckets:
records.extend(ll_list_all(head))
return sorted(records, key=lambda record: record[0])
def _bst_node(name, phone):
return {"name": name, "phone": phone, "left": None, "right": None}
def bst_insert(root, name, phone):
if root is None:
return _bst_node(name, phone)
current = root
while True:
if name == current["name"]:
current["phone"] = phone
return root
side = "left" if name < current["name"] else "right"
if current[side] is None:
current[side] = _bst_node(name, phone)
return root
current = current[side]
def bst_find(root, name):
current = root
while current is not None:
if name == current["name"]:
return current["phone"]
current = current["left"] if name < current["name"] else current["right"]
return None
def bst_delete(root, name):
parent = None
current = root
while current is not None and current["name"] != name:
parent = current
current = current["left"] if name < current["name"] else current["right"]
if current is None:
return root
if current["left"] is not None and current["right"] is not None:
successor_parent = current
successor = current["right"]
while successor["left"] is not None:
successor_parent = successor
successor = successor["left"]
current["name"], current["phone"] = successor["name"], successor["phone"]
parent, current = successor_parent, successor
child = current["left"] if current["left"] is not None else current["right"]
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):
records, stack = [], []
current = root
while stack or current is not None:
while current is not None:
stack.append(current)
current = current["left"]
current = stack.pop()
records.append((current["name"], current["phone"]))
current = current["right"]
return records

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import csv
from pathlib import Path
import matplotlib.pyplot as plt
def create_plot(csv_path="docs/data/results_summary.csv", output_path="docs/data/performance.png"):
with Path(csv_path).open(encoding="utf-8-sig") as file:
rows = list(csv.DictReader(file))
operations = ["insert", "find_110", "delete_50"]
titles = ["Вставка всех записей", "Поиск 110 имён", "Удаление 50 записей"]
labels = [(structure, mode) for mode in ("shuffled", "sorted") for structure in ("LinkedList", "HashTable", "BST")]
figure, axes = plt.subplots(1, 3, figsize=(15, 5))
for axis, operation, title in zip(axes, operations, titles):
values = []
for structure, mode in labels:
row = next(item for item in rows if item["structure"] == structure and item["mode"] == mode and item["operation"] == operation)
values.append(float(row["mean_seconds"]) * 1000)
axis.bar(range(len(labels)), values, color=["#4472C4", "#70AD47", "#ED7D31"] * 2)
axis.set_title(title)
axis.set_ylabel("Время, мс")
axis.set_xticks(range(len(labels)), [f"{s}\n{m}" for s, m in labels], rotation=35, ha="right")
axis.grid(axis="y", alpha=0.25)
figure.suptitle("Производительность структур данных (средние значения)")
figure.tight_layout()
figure.savefig(output_path, dpi=180)
plt.close(figure)
return Path(output_path)
if __name__ == "__main__":
print(f"График сохранён: {create_plot()}")

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structure,mode,operation,run,time_seconds
LinkedList,shuffled,insert,1,0.1947654000005059
LinkedList,shuffled,find_110,1,0.0063459000002694665
LinkedList,shuffled,delete_50,1,0.002933899999334244
LinkedList,shuffled,insert,2,0.19509340000058728
LinkedList,shuffled,find_110,2,0.006126699999185803
LinkedList,shuffled,delete_50,2,0.002876999999898544
LinkedList,shuffled,insert,3,0.19163060000028054
LinkedList,shuffled,find_110,3,0.00638989999970363
LinkedList,shuffled,delete_50,3,0.0027322000005369773
LinkedList,shuffled,insert,4,0.19537710000076913
LinkedList,shuffled,find_110,4,0.00553089999993972
LinkedList,shuffled,delete_50,4,0.00274009999975533
LinkedList,shuffled,insert,5,0.19868119999955525
LinkedList,shuffled,find_110,5,0.006262500000048021
LinkedList,shuffled,delete_50,5,0.0034435999996276223
HashTable,shuffled,insert,1,0.0045235999996293685
HashTable,shuffled,find_110,1,0.00012590000005729962
HashTable,shuffled,delete_50,1,6.089999988034833e-05
HashTable,shuffled,insert,2,0.004393600000184961
HashTable,shuffled,find_110,2,0.00011859999995067483
HashTable,shuffled,delete_50,2,5.79999996261904e-05
HashTable,shuffled,insert,3,0.0038748000006307848
HashTable,shuffled,find_110,3,0.00011610000001383014
HashTable,shuffled,delete_50,3,5.719999990105862e-05
HashTable,shuffled,insert,4,0.003696299999319308
HashTable,shuffled,find_110,4,0.00011779999931604834
HashTable,shuffled,delete_50,4,5.729999975301325e-05
HashTable,shuffled,insert,5,0.0037232000004223664
HashTable,shuffled,find_110,5,0.0001156999996965169
HashTable,shuffled,delete_50,5,5.5900000006658956e-05
BST,shuffled,insert,1,0.004337399999712943
BST,shuffled,find_110,1,0.0001140000003942987
BST,shuffled,delete_50,1,7.019999975454994e-05
BST,shuffled,insert,2,0.004390000000057626
BST,shuffled,find_110,2,0.00011150000045745401
BST,shuffled,delete_50,2,6.52999997328152e-05
BST,shuffled,insert,3,0.004179900000053749
BST,shuffled,find_110,3,0.00010879999990720535
BST,shuffled,delete_50,3,6.070000017643906e-05
BST,shuffled,insert,4,0.004183999999440857
BST,shuffled,find_110,4,0.00010620000011840602
BST,shuffled,delete_50,4,9.539999973640079e-05
BST,shuffled,insert,5,0.004391600000417384
BST,shuffled,find_110,5,0.00010419999944133451
BST,shuffled,delete_50,5,6.630000007135095e-05
LinkedList,sorted,insert,1,0.19158669999978883
LinkedList,sorted,find_110,1,0.006112799999755225
LinkedList,sorted,delete_50,1,0.005895900000723486
LinkedList,sorted,insert,2,0.19256610000047658
LinkedList,sorted,find_110,2,0.006044900000233611
LinkedList,sorted,delete_50,2,0.002797499999360298
LinkedList,sorted,insert,3,0.19292270000005374
LinkedList,sorted,find_110,3,0.006467600000178209
LinkedList,sorted,delete_50,3,0.0028355000004012254
LinkedList,sorted,insert,4,0.19164809999983845
LinkedList,sorted,find_110,4,0.005796100000225124
LinkedList,sorted,delete_50,4,0.0030335999999806518
LinkedList,sorted,insert,5,0.1920518999995693
LinkedList,sorted,find_110,5,0.006033799999386247
LinkedList,sorted,delete_50,5,0.0028001999999105465
HashTable,sorted,insert,1,0.0036538000003929483
HashTable,sorted,find_110,1,0.0001173999999082298
HashTable,sorted,delete_50,1,5.810000038763974e-05
HashTable,sorted,insert,2,0.003586599999835016
HashTable,sorted,find_110,2,0.00011629999971773941
HashTable,sorted,delete_50,2,5.540000074688578e-05
HashTable,sorted,insert,3,0.00354940000033821
HashTable,sorted,find_110,3,0.00011549999999260763
HashTable,sorted,delete_50,3,5.520000013348181e-05
HashTable,sorted,insert,4,0.0036109000002397806
HashTable,sorted,find_110,4,0.00011329999961162684
HashTable,sorted,delete_50,4,5.6000000768108293e-05
HashTable,sorted,insert,5,0.003564399999959278
HashTable,sorted,find_110,5,0.00011339999946358148
HashTable,sorted,delete_50,5,5.480000072566327e-05
BST,sorted,insert,1,0.3111501000003045
BST,sorted,find_110,1,0.007159199999478005
BST,sorted,delete_50,1,0.004548900000372669
BST,sorted,insert,2,0.30066009999973176
BST,sorted,find_110,2,0.008023899999898276
BST,sorted,delete_50,2,0.004239900000357011
BST,sorted,insert,3,0.3020464000001084
BST,sorted,find_110,3,0.00876090000019758
BST,sorted,delete_50,3,0.004445499999746971
BST,sorted,insert,4,0.30183889999989333
BST,sorted,find_110,4,0.007328300000153831
BST,sorted,delete_50,4,0.005208799999309122
BST,sorted,insert,5,0.3034312999998292
BST,sorted,find_110,5,0.008107399999971676
BST,sorted,delete_50,5,0.004352900000412774
1 structure mode operation run time_seconds
2 LinkedList shuffled insert 1 0.1947654000005059
3 LinkedList shuffled find_110 1 0.0063459000002694665
4 LinkedList shuffled delete_50 1 0.002933899999334244
5 LinkedList shuffled insert 2 0.19509340000058728
6 LinkedList shuffled find_110 2 0.006126699999185803
7 LinkedList shuffled delete_50 2 0.002876999999898544
8 LinkedList shuffled insert 3 0.19163060000028054
9 LinkedList shuffled find_110 3 0.00638989999970363
10 LinkedList shuffled delete_50 3 0.0027322000005369773
11 LinkedList shuffled insert 4 0.19537710000076913
12 LinkedList shuffled find_110 4 0.00553089999993972
13 LinkedList shuffled delete_50 4 0.00274009999975533
14 LinkedList shuffled insert 5 0.19868119999955525
15 LinkedList shuffled find_110 5 0.006262500000048021
16 LinkedList shuffled delete_50 5 0.0034435999996276223
17 HashTable shuffled insert 1 0.0045235999996293685
18 HashTable shuffled find_110 1 0.00012590000005729962
19 HashTable shuffled delete_50 1 6.089999988034833e-05
20 HashTable shuffled insert 2 0.004393600000184961
21 HashTable shuffled find_110 2 0.00011859999995067483
22 HashTable shuffled delete_50 2 5.79999996261904e-05
23 HashTable shuffled insert 3 0.0038748000006307848
24 HashTable shuffled find_110 3 0.00011610000001383014
25 HashTable shuffled delete_50 3 5.719999990105862e-05
26 HashTable shuffled insert 4 0.003696299999319308
27 HashTable shuffled find_110 4 0.00011779999931604834
28 HashTable shuffled delete_50 4 5.729999975301325e-05
29 HashTable shuffled insert 5 0.0037232000004223664
30 HashTable shuffled find_110 5 0.0001156999996965169
31 HashTable shuffled delete_50 5 5.5900000006658956e-05
32 BST shuffled insert 1 0.004337399999712943
33 BST shuffled find_110 1 0.0001140000003942987
34 BST shuffled delete_50 1 7.019999975454994e-05
35 BST shuffled insert 2 0.004390000000057626
36 BST shuffled find_110 2 0.00011150000045745401
37 BST shuffled delete_50 2 6.52999997328152e-05
38 BST shuffled insert 3 0.004179900000053749
39 BST shuffled find_110 3 0.00010879999990720535
40 BST shuffled delete_50 3 6.070000017643906e-05
41 BST shuffled insert 4 0.004183999999440857
42 BST shuffled find_110 4 0.00010620000011840602
43 BST shuffled delete_50 4 9.539999973640079e-05
44 BST shuffled insert 5 0.004391600000417384
45 BST shuffled find_110 5 0.00010419999944133451
46 BST shuffled delete_50 5 6.630000007135095e-05
47 LinkedList sorted insert 1 0.19158669999978883
48 LinkedList sorted find_110 1 0.006112799999755225
49 LinkedList sorted delete_50 1 0.005895900000723486
50 LinkedList sorted insert 2 0.19256610000047658
51 LinkedList sorted find_110 2 0.006044900000233611
52 LinkedList sorted delete_50 2 0.002797499999360298
53 LinkedList sorted insert 3 0.19292270000005374
54 LinkedList sorted find_110 3 0.006467600000178209
55 LinkedList sorted delete_50 3 0.0028355000004012254
56 LinkedList sorted insert 4 0.19164809999983845
57 LinkedList sorted find_110 4 0.005796100000225124
58 LinkedList sorted delete_50 4 0.0030335999999806518
59 LinkedList sorted insert 5 0.1920518999995693
60 LinkedList sorted find_110 5 0.006033799999386247
61 LinkedList sorted delete_50 5 0.0028001999999105465
62 HashTable sorted insert 1 0.0036538000003929483
63 HashTable sorted find_110 1 0.0001173999999082298
64 HashTable sorted delete_50 1 5.810000038763974e-05
65 HashTable sorted insert 2 0.003586599999835016
66 HashTable sorted find_110 2 0.00011629999971773941
67 HashTable sorted delete_50 2 5.540000074688578e-05
68 HashTable sorted insert 3 0.00354940000033821
69 HashTable sorted find_110 3 0.00011549999999260763
70 HashTable sorted delete_50 3 5.520000013348181e-05
71 HashTable sorted insert 4 0.0036109000002397806
72 HashTable sorted find_110 4 0.00011329999961162684
73 HashTable sorted delete_50 4 5.6000000768108293e-05
74 HashTable sorted insert 5 0.003564399999959278
75 HashTable sorted find_110 5 0.00011339999946358148
76 HashTable sorted delete_50 5 5.480000072566327e-05
77 BST sorted insert 1 0.3111501000003045
78 BST sorted find_110 1 0.007159199999478005
79 BST sorted delete_50 1 0.004548900000372669
80 BST sorted insert 2 0.30066009999973176
81 BST sorted find_110 2 0.008023899999898276
82 BST sorted delete_50 2 0.004239900000357011
83 BST sorted insert 3 0.3020464000001084
84 BST sorted find_110 3 0.00876090000019758
85 BST sorted delete_50 3 0.004445499999746971
86 BST sorted insert 4 0.30183889999989333
87 BST sorted find_110 4 0.007328300000153831
88 BST sorted delete_50 4 0.005208799999309122
89 BST sorted insert 5 0.3034312999998292
90 BST sorted find_110 5 0.008107399999971676
91 BST sorted delete_50 5 0.004352900000412774