diff --git a/fomichevks/426.md.txt b/fomichevks/426.md
similarity index 100%
rename from fomichevks/426.md.txt
rename to fomichevks/426.md
diff --git a/fomichevks/docs/performance_comparison.png b/fomichevks/docs/performance_comparison.png
new file mode 100644
index 0000000..71e527b
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diff --git a/fomichevks/docs/results.csv b/fomichevks/docs/results.csv
new file mode 100644
index 0000000..d72b22a
--- /dev/null
+++ b/fomichevks/docs/results.csv
@@ -0,0 +1,109 @@
+Структура,Режим,Операция,Время (сек)
+LinkedList,случайный,insert,3.450394299999971
+LinkedList,случайный,find,0.02368320000005042
+LinkedList,случайный,delete,0.0178195999997115
+HashTable,случайный,insert,0.009212800000568677
+HashTable,случайный,find,6.169999960548012e-05
+HashTable,случайный,delete,3.860000015265541e-05
+BST,случайный,insert,0.015902500000265718
+BST,случайный,find,0.00014120000014372636
+BST,случайный,delete,8.770000022195745e-05
+LinkedList,случайный,insert,3.517222700000275
+LinkedList,случайный,find,0.026108199999725912
+LinkedList,случайный,delete,0.01791400000001886
+HashTable,случайный,insert,0.009205899999869871
+HashTable,случайный,find,5.869999949936755e-05
+HashTable,случайный,delete,3.609999930631602e-05
+BST,случайный,insert,0.017175400000269292
+BST,случайный,find,0.0001505999998698826
+BST,случайный,delete,9.200000022246968e-05
+LinkedList,случайный,insert,3.435324000000037
+LinkedList,случайный,find,0.026613500000166823
+LinkedList,случайный,delete,0.020348300000478048
+HashTable,случайный,insert,0.01095050000003539
+HashTable,случайный,find,6.169999960548012e-05
+HashTable,случайный,delete,3.9000000469968654e-05
+BST,случайный,insert,0.015578700000332901
+BST,случайный,find,0.0001768000001902692
+BST,случайный,delete,0.00010370000018156134
+LinkedList,случайный,insert,3.4476645999993707
+LinkedList,случайный,find,0.025092200000472076
+LinkedList,случайный,delete,0.017970900000364054
+HashTable,случайный,insert,0.008620399999927031
+HashTable,случайный,find,5.6599999879836105e-05
+HashTable,случайный,delete,3.699999979289714e-05
+BST,случайный,insert,0.016901099999813596
+BST,случайный,find,0.0001353999996354105
+BST,случайный,delete,8.39000003907131e-05
+LinkedList,случайный,insert,3.4527680000001055
+LinkedList,случайный,find,0.02482880000025034
+LinkedList,случайный,delete,0.01792089999980817
+HashTable,случайный,insert,0.00791659999958938
+HashTable,случайный,find,0.00012760000026901253
+HashTable,случайный,delete,6.010000015521655e-05
+BST,случайный,insert,0.01643800000056217
+BST,случайный,find,0.0001905999997688923
+BST,случайный,delete,9.900000077323057e-05
+LinkedList,отсортированный,insert,3.2146765999996205
+LinkedList,отсортированный,find,0.02251799999976356
+LinkedList,отсортированный,delete,0.016432399999757763
+HashTable,отсортированный,insert,0.008092500000202563
+HashTable,отсортированный,find,7.089999962772708e-05
+HashTable,отсортированный,delete,4.069999977218686e-05
+BST,отсортированный,insert,8.144065100000262
+BST,отсортированный,find,0.07145860000036919
+BST,отсортированный,delete,0.041536599999744794
+LinkedList,отсортированный,insert,3.2909168000005593
+LinkedList,отсортированный,find,0.1718697999995129
+LinkedList,отсортированный,delete,0.03186750000077154
+HashTable,отсортированный,insert,0.014283700000305544
+HashTable,отсортированный,find,9.820000013860408e-05
+HashTable,отсортированный,delete,5.8200000239594374e-05
+BST,отсортированный,insert,7.79496620000009
+BST,отсортированный,find,0.06252070000027743
+BST,отсортированный,delete,0.04316579999976966
+LinkedList,отсортированный,insert,3.3210246999997253
+LinkedList,отсортированный,find,0.020591699999386037
+LinkedList,отсортированный,delete,0.016228899999987334
+HashTable,отсортированный,insert,0.007315800000469608
+HashTable,отсортированный,find,5.450000026030466e-05
+HashTable,отсортированный,delete,3.370000013092067e-05
+BST,отсортированный,insert,8.219712999999501
+BST,отсортированный,find,0.0645872999994026
+BST,отсортированный,delete,0.04166759999952774
+LinkedList,отсортированный,insert,3.3059798000003866
+LinkedList,отсортированный,find,0.020161800000096264
+LinkedList,отсортированный,delete,0.016405999999733467
+HashTable,отсортированный,insert,0.008103499999378982
+HashTable,отсортированный,find,6.690000009257346e-05
+HashTable,отсортированный,delete,3.999999989900971e-05
+BST,отсортированный,insert,9.020431099999769
+BST,отсортированный,find,0.06939630000033503
+BST,отсортированный,delete,0.04487580000022717
+LinkedList,отсортированный,insert,3.5286267000001317
+LinkedList,отсортированный,find,0.022289700000328594
+LinkedList,отсортированный,delete,0.018663600000763836
+HashTable,отсортированный,insert,0.010729900000114867
+HashTable,отсортированный,find,7.849999929021578e-05
+HashTable,отсортированный,delete,4.8600000809528865e-05
+BST,отсортированный,insert,8.329646700000012
+BST,отсортированный,find,0.06335099999978411
+BST,отсортированный,delete,0.042559800000162795
+LinkedList,случайный,insert (СРЕДНЕЕ),3.4606747199999517
+LinkedList,случайный,find (СРЕДНЕЕ),0.025265180000133114
+LinkedList,случайный,delete (СРЕДНЕЕ),0.018394740000076126
+LinkedList,отсортированный,insert (СРЕДНЕЕ),3.3322449200000848
+LinkedList,отсортированный,find (СРЕДНЕЕ),0.051486199999817475
+LinkedList,отсортированный,delete (СРЕДНЕЕ),0.019919680000202788
+HashTable,случайный,insert (СРЕДНЕЕ),0.00918123999999807
+HashTable,случайный,find (СРЕДНЕЕ),7.325999977183528e-05
+HashTable,случайный,delete (СРЕДНЕЕ),4.215999997541076e-05
+HashTable,отсортированный,insert (СРЕДНЕЕ),0.009705080000094313
+HashTable,отсортированный,find (СРЕДНЕЕ),7.379999988188501e-05
+HashTable,отсортированный,delete (СРЕДНЕЕ),4.4240000170248096e-05
+BST,случайный,insert (СРЕДНЕЕ),0.016399140000248735
+BST,случайный,find (СРЕДНЕЕ),0.0001589199999216362
+BST,случайный,delete (СРЕДНЕЕ),9.326000035798643e-05
+BST,отсортированный,insert (СРЕДНЕЕ),8.301764419999927
+BST,отсортированный,find (СРЕДНЕЕ),0.06626278000003367
+BST,отсортированный,delete (СРЕДНЕЕ),0.04276111999988643
diff --git a/fomichevks/docs/структуры_данных.py b/fomichevks/docs/структуры_данных.py
new file mode 100644
index 0000000..1eaa7dd
--- /dev/null
+++ b/fomichevks/docs/структуры_данных.py
@@ -0,0 +1,257 @@
+import random
+import time
+import csv
+import sys
+
+
+sys.setrecursionlimit(20000)
+
+
+# 1. СВЯЗНЫЙ СПИСОК
+def ll_insert(head, name, phone):
+    curr = head
+    while curr:
+        if curr['name'] == name:
+            curr['phone'] = phone
+            return head
+        curr = curr['next']
+
+    new_node = {'name': name, 'phone': phone, 'next': None}
+    if head is None:
+        return new_node
+
+    curr = head
+    while curr['next']:
+        curr = curr['next']
+    curr['next'] = new_node
+    return head
+
+
+def ll_find(head, name):
+    curr = head
+    while curr:
+        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']
+
+    curr = head
+    while curr['next']:
+        if curr['next']['name'] == name:
+            curr['next'] = curr['next']['next']
+            return head
+        curr = curr['next']
+    return head
+
+
+def ll_list_all(head):
+    res = []
+    curr = head
+    while curr:
+        res.append((curr['name'], curr['phone']))
+        curr = curr['next']
+    res.sort(key=lambda x: x[0])
+    return res
+
+
+
+# 2. ХЕШ-ТАБЛИЦА
+BUCKET_COUNT = 1024
+
+
+def ht_insert(buckets, name, phone):
+    idx = hash(name) % BUCKET_COUNT
+    buckets[idx] = ll_insert(buckets[idx], name, phone)
+
+
+def ht_find(buckets, name):
+    idx = hash(name) % BUCKET_COUNT
+    return ll_find(buckets[idx], name)
+
+
+def ht_delete(buckets, name):
+    idx = hash(name) % BUCKET_COUNT
+    buckets[idx] = ll_delete(buckets[idx], name)
+
+
+def ht_list_all(buckets):
+    res = []
+    for head in buckets:
+        curr = head
+        while curr:
+            res.append((curr['name'], curr['phone']))
+            curr = curr['next']
+    res.sort(key=lambda x: x[0])
+    return res
+
+
+
+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_find_min(node):
+    curr = node
+    while curr['left'] is not None:
+        curr = curr['left']
+    return curr
+
+
+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']
+        elif root['right'] is None:
+            return root['left']
+        else:
+            successor = _bst_find_min(root['right'])
+            root['name'] = successor['name']
+            root['phone'] = successor['phone']
+            root['right'] = bst_delete(root['right'], successor['name'])
+    return root
+
+
+def bst_list_all(root):
+    res = []
+
+    def inorder(node):
+        if node:
+            inorder(node['left'])
+            res.append((node['name'], node['phone']))
+            inorder(node['right'])
+
+    inorder(root)
+    return res
+
+
+
+# ЭКСПЕРИМЕНТАЛЬНАЯ ЧАСТЬ
+def run_experiments():
+    N = 10000
+    base_records = [(f"User_{i:05d}", f"100{i:05d}") for i in range(N)]
+
+    records_sorted = sorted(base_records, key=lambda x: x[0])
+    records_shuffled = base_records[:]
+    random.shuffle(records_shuffled)
+
+    all_names = [r[0] for r in base_records]
+    find_existing = random.sample(all_names, 100)
+    find_non_existing = [f"Missing_{i}" for i in range(10)]
+    delete_targets = random.sample(all_names, 50)
+
+    all_results = []
+    structures = ["LinkedList", "HashTable", "BST"]
+    data_modes = [("случайный", records_shuffled), ("отсортированный", records_sorted)]
+
+    for mode_name, records in data_modes:
+        print(f"\n Режим: {mode_name}")
+        for run in range(1, 6):
+            print(f" запуск {run}/5")
+
+
+            head = None
+            t = time.perf_counter()
+            for n, p in records: head = ll_insert(head, n, p)
+            t_ins = time.perf_counter() - t
+
+            t = time.perf_counter()
+            for n in find_existing + find_non_existing: ll_find(head, n)
+            t_find = time.perf_counter() - t
+
+            t = time.perf_counter()
+            for n in delete_targets: head = ll_delete(head, n)
+            t_del = time.perf_counter() - t
+
+            all_results.append(["LinkedList", mode_name, "insert", t_ins])
+            all_results.append(["LinkedList", mode_name, "find", t_find])
+            all_results.append(["LinkedList", mode_name, "delete", t_del])
+
+
+            buckets = [None] * BUCKET_COUNT
+            t = time.perf_counter()
+            for n, p in records: ht_insert(buckets, n, p)
+            t_ins = time.perf_counter() - t
+
+            t = time.perf_counter()
+            for n in find_existing + find_non_existing: ht_find(buckets, n)
+            t_find = time.perf_counter() - t
+
+            t = time.perf_counter()
+            for n in delete_targets: ht_delete(buckets, n)
+            t_del = time.perf_counter() - t
+
+            all_results.append(["HashTable", mode_name, "insert", t_ins])
+            all_results.append(["HashTable", mode_name, "find", t_find])
+            all_results.append(["HashTable", mode_name, "delete", t_del])
+
+
+            root = None
+            t = time.perf_counter()
+            for n, p in records: root = bst_insert(root, n, p)
+            t_ins = time.perf_counter() - t
+
+            t = time.perf_counter()
+            for n in find_existing + find_non_existing: bst_find(root, n)
+            t_find = time.perf_counter() - t
+
+            t = time.perf_counter()
+            for n in delete_targets: root = bst_delete(root, n)
+            t_del = time.perf_counter() - t
+
+            all_results.append(["BST", mode_name, "insert", t_ins])
+            all_results.append(["BST", mode_name, "find", t_find])
+            all_results.append(["BST", mode_name, "delete", t_del])
+
+
+    averages = []
+    for struct in structures:
+        for mode in ["случайный", "отсортированный"]:
+            for op in ["insert", "find", "delete"]:
+                times = [r[3] for r in all_results if r[0] == struct and r[1] == mode and r[2] == op]
+                avg = sum(times) / len(times)
+                averages.append([struct, mode, f"{op} (СРЕДНЕЕ)", avg])
+
+    final_csv_data = [["Структура", "Режим", "Операция", "Время (сек)"]] + all_results + averages
+
+    with open("results.csv", "w", newline="", encoding="utf-8-sig") as f:
+        writer = csv.writer(f)
+        writer.writerows(final_csv_data)
+
+    return all_results, averages
+
+
+if __name__ == "__main__":
+    raw_data, avg_data = run_experiments()
+