Поиск в глубину

MininaVD/docs2/data2/strategiesDfs_strategy.ipynb

@@ -0,0 +1,73 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d8d9af1-63da-4f25-9140-a0b3c58cb96d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from typing import List, Dict, Optional\n",
+    "from strategiesPathfinding_strategy import PathFindingStrategy\n",
+    "from modelsMaze import Maze\n",
+    "from modelsCell import Cell\n",
+    "\n",
+    "class DFSStrategy(PathFindingStrategy):\n",
+    "    \"\"\"Поиск в глубину - быстрый, но не обязательно кратчайший.\"\"\"\n",
+    "    \n",
+    "    @property\n",
+    "    def name(self) -> str:\n",
+    "        return \"DFS\"\n",
+    "    \n",
+    "    def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:\n",
+    "        if start == exit_cell:\n",
+    "            return [start]\n",
+    "        \n",
+    "        stack = [start]\n",
+    "        came_from: Dict[Cell, Optional[Cell]] = {start: None}\n",
+    "        visited_count = 0\n",
+    "        \n",
+    "        while stack:\n",
+    "            current = stack.pop()\n",
+    "            visited_count += 1\n",
+    "            \n",
+    "            if current == exit_cell:\n",
+    "                self._last_visited_count = visited_count\n",
+    "                return self._reconstruct_path(came_from, start, current)\n",
+    "            \n",
+    "            for neighbor in maze.get_neighbors(current):\n",
+    "                if neighbor not in came_from:\n",
+    "                    came_from[neighbor] = current\n",
+    "                    stack.append(neighbor)\n",
+    "        \n",
+    "        self._last_visited_count = visited_count\n",
+    "        return []\n",
+    "    \n",
+    "    @property\n",
+    "    def last_visited_count(self) -> int:\n",
+    "        return getattr(self, '_last_visited_count', 0)"
+   ]
+  }
+ ],
+ "metadata": {
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+   "display_name": "Python [conda env:base] *",
+   "language": "python",
+   "name": "conda-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
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+   "file_extension": ".py",
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+   "nbconvert_exporter": "python",
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+ "nbformat_minor": 5
+}