76 lines
2.4 KiB
Plaintext
76 lines
2.4 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "263fab53-6f76-4853-b167-a51b1198ddee",
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"metadata": {},
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"outputs": [],
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"source": [
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"from collections import deque\n",
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"from typing import List, Dict, Optional\n",
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"from strategiesPathfinding_strategy import PathFindingStrategy\n",
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"from modelsMaze import Maze\n",
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"from modelsCell import Cell\n",
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"\n",
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"class BFSStrategy(PathFindingStrategy):\n",
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" \"\"\"Поиск в ширину - гарантирует кратчайший путь.\"\"\"\n",
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" \n",
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" @property\n",
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" def name(self) -> str:\n",
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" return \"BFS\"\n",
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" \n",
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" def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:\n",
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" if start == exit_cell:\n",
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" return [start]\n",
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" \n",
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" queue = deque([start])\n",
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" came_from: Dict[Cell, Optional[Cell]] = {start: None}\n",
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" visited_count = 0 # Для статистики\n",
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" \n",
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" while queue:\n",
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" current = queue.popleft()\n",
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" visited_count += 1\n",
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" \n",
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" if current == exit_cell:\n",
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" # Сохраняем количество посещённых клеток для статистики\n",
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" self._last_visited_count = visited_count\n",
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" return self._reconstruct_path(came_from, start, current)\n",
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" \n",
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" for neighbor in maze.get_neighbors(current):\n",
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" if neighbor not in came_from:\n",
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" came_from[neighbor] = current\n",
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" queue.append(neighbor)\n",
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" \n",
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" self._last_visited_count = visited_count\n",
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" return []\n",
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" \n",
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" @property\n",
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" def last_visited_count(self) -> int:\n",
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" return getattr(self, '_last_visited_count', 0)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [conda env:base] *",
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"language": "python",
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"name": "conda-base-py"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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