diff --git a/MininaVD/docs2/data2/experimentsBenchmark.ipynb b/MininaVD/docs2/data2/experimentsBenchmark.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c7d4d33a-ead6-4906-b307-e357ba0995e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "import time\n",
+    "from typing import List, Dict, Any\n",
+    "from modelsMaze import Maze\n",
+    "from strategiesBfs_strategy import BFSStrategy\n",
+    "from strategiesDfs_strategy import DFSStrategy\n",
+    "from strategiesA_star_strategy import AStarStrategy\n",
+    "from solverMaze_solver import MazeSolver\n",
+    "\n",
+    "class Benchmark:\n",
+    "    \"\"\"Экспериментальное сравнение алгоритмов.\"\"\"\n",
+    "    \n",
+    "    def __init__(self):\n",
+    "        self.strategies = [\n",
+    "            BFSStrategy(),\n",
+    "            DFSStrategy(),\n",
+    "            AStarStrategy(),\n",
+    "        ]\n",
+    "        self.results: List[Dict[str, Any]] = []\n",
+    "    \n",
+    "    def run_on_maze(self, maze: Maze, maze_name: str, iterations: int = 5) -> List[Dict]:\n",
+    "        \"\"\"Запустить все стратегии на одном лабиринте.\"\"\"\n",
+    "        results = []\n",
+    "        \n",
+    "        for strategy in self.strategies:\n",
+    "            solver = MazeSolver(maze, strategy)\n",
+    "            \n",
+    "            times = []\n",
+    "            visited_counts = []\n",
+    "            path_lengths = []\n",
+    "            path_found = False\n",
+    "            \n",
+    "            for i in range(iterations):\n",
+    "                # Сбрасываем состояние стратегии для честного замера\n",
+    "                # (кэш посещённых клеток не должен влиять)\n",
+    "                start_time = time.perf_counter()\n",
+    "                path = strategy.find_path(maze, maze.start_cell, maze.exit_cell)\n",
+    "                end_time = time.perf_counter()\n",
+    "                \n",
+    "                times.append((end_time - start_time) * 1000)\n",
+    "                visited_counts.append(getattr(strategy, 'last_visited_count', 0))\n",
+    "                path_lengths.append(len(path))\n",
+    "                path_found = len(path) > 0\n",
+    "            \n",
+    "            result = {\n",
+    "                'maze': maze_name,\n",
+    "                'algorithm': strategy.name,\n",
+    "                'avg_time_ms': sum(times) / len(times),\n",
+    "                'min_time_ms': min(times),\n",
+    "                'max_time_ms': max(times),\n",
+    "                'avg_visited': sum(visited_counts) / len(visited_counts),\n",
+    "                'avg_path_length': sum(path_lengths) / len(path_lengths),\n",
+    "                'path_found': path_found,\n",
+    "                'iterations': iterations\n",
+    "            }\n",
+    "            results.append(result)\n",
+    "            self.results.append(result)\n",
+    "        \n",
+    "        return results\n",
+    "    \n",
+    "    def save_to_csv(self, filename: str = \"benchmark_results.csv\") -> None:\n",
+    "        \"\"\"Сохранить результаты в CSV.\"\"\"\n",
+    "        if not self.results:\n",
+    "            print(\"Нет результатов для сохранения\")\n",
+    "            return\n",
+    "        \n",
+    "        fieldnames = ['maze', 'algorithm', 'avg_time_ms', 'min_time_ms', \n",
+    "                      'max_time_ms', 'avg_visited', 'avg_path_length', \n",
+    "                      'path_found', 'iterations']\n",
+    "        \n",
+    "        with open(filename, 'w', newline='', encoding='utf-8') as f:\n",
+    "            writer = csv.DictWriter(f, fieldnames=fieldnames)\n",
+    "            writer.writeheader()\n",
+    "            writer.writerows(self.results)\n",
+    "        \n",
+    "        print(f\"Результаты сохранены в {filename}\")\n",
+    "    \n",
+    "    def print_summary(self) -> None:\n",
+    "        \"\"\"Вывести сводку результатов.\"\"\"\n",
+    "        print(\"РЕЗУЛЬТАТЫ ЭКСПЕРИМЕНТОВ\")\n",
+    "        \n",
+    "        current_maze = None\n",
+    "        for r in self.results:\n",
+    "            if r['maze'] != current_maze:\n",
+    "                current_maze = r['maze']\n",
+    "                print(f\"\\n--- Лабиринт: {current_maze} ---\")\n",
+    "            \n",
+    "            status = \" НАЙДЕН\" if r['path_found'] else \" НЕ НАЙДЕН\"\n",
+    "            print(f\"  {r['algorithm']:6} | Время: {r['avg_time_ms']:8.2f} мс | \"\n",
+    "                  f\"Посещено: {r['avg_visited']:8.1f} | \"\n",
+    "                  f\"Путь: {r['avg_path_length']:6.1f} | {status}\")\n",
+    "        \n",
+    "   "
+   ]
+  }
+ ],
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+   "language": "python",
+   "name": "conda-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
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