2026-rff_mp/stepushovgs/labyrinth/test.ipynb

360 lines
10 KiB
Plaintext
Raw Normal View History

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "4489fc7e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"S # ###\n",
"## # # E\n",
"# # #\n",
"### ## #\n",
"# #\n",
"########\n"
]
}
],
"source": [
"with open('test_lab.txt') as f:\n",
" data = f.readlines()\n",
" for el in data:\n",
" print(el.rstrip())"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "fde1eddb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"S # ###\n",
"## # # E\n",
"# # #\n",
"### ## #\n",
"# #\n",
"########\n"
]
}
],
"source": [
"from source.builder.builder import TextFileMazeBuilder\n",
"\n",
"builder = TextFileMazeBuilder()\n",
"maze = builder.buildFromFile(filename='test_lab.txt')\n",
"\n",
"maze.printer()"
]
},
{
"cell_type": "code",
2026-05-20 20:07:51 +00:00
"execution_count": 3,
"id": "22325f68",
"metadata": {},
2026-05-20 20:07:51 +00:00
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Загружен лабиринт:\n",
"S*P# ###\n",
2026-05-20 20:07:51 +00:00
"## # # E\n",
"# # #\n",
"### ## #\n",
"# #\n",
"########\n"
]
}
],
"source": [
"from source.observer.console_view import ConsoleView\n",
"from source.observer.observer import Event\n",
2026-05-20 20:07:51 +00:00
"\n",
"view = ConsoleView()\n",
"view.update(Event(\n",
" event=\"maze_loaded\",\n",
" maze=maze,\n",
" player_position=(2, 0),\n",
" path=[(0, 0), (1, 0)]\n",
"))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "19840429",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Старт: (0, 0)\n",
"Выход: (7, 1)\n",
"Соседи старта: [(1, 0)]\n",
"для клекти (0, 0) соседи: [(1, 0)]\n",
"для клекти (1, 0) соседи: [(0, 0), (2, 0)]\n",
"для клекти (2, 0) соседи: [(2, 1), (1, 0)]\n",
"для клекти (2, 1) соседи: [(2, 0), (2, 2)]\n",
"для клекти (2, 2) соседи: [(2, 1), (1, 2), (3, 2)]\n",
"для клекти (3, 2) соседи: [(3, 3), (2, 2), (4, 2)]\n",
"для клекти (4, 2) соседи: [(4, 1), (3, 2)]\n",
"для клекти (4, 1) соседи: [(4, 0), (4, 2)]\n",
"для клекти (4, 0) соседи: [(4, 1)]\n",
"для клекти (3, 3) соседи: [(3, 2), (3, 4)]\n",
"для клекти (3, 4) соседи: [(3, 3), (2, 4), (4, 4)]\n",
"для клекти (4, 4) соседи: [(3, 4), (5, 4)]\n",
"для клекти (5, 4) соседи: [(4, 4), (6, 4)]\n",
"для клекти (6, 4) соседи: [(6, 3), (5, 4)]\n",
"для клекти (6, 3) соседи: [(6, 2), (6, 4)]\n",
"для клекти (6, 2) соседи: [(6, 1), (6, 3)]\n",
"для клекти (6, 1) соседи: [(6, 2), (7, 1)]\n",
"Путь найден:\n",
"S**# ###\n",
"##*# #*E\n",
"# ** #*#\n",
"###*##*#\n",
"# ****#\n",
"########\n"
]
},
{
"data": {
"text/plain": [
"([(2, 1), (1, 0)],\n",
" [(0, 0),\n",
" (1, 0),\n",
" (2, 0),\n",
" (2, 1),\n",
" (2, 2),\n",
" (3, 2),\n",
" (3, 3),\n",
" (3, 4),\n",
" (4, 4),\n",
" (5, 4),\n",
" (6, 4),\n",
" (6, 3),\n",
" (6, 2),\n",
" (6, 1),\n",
" (7, 1)])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from source.strategy.DFS import DFS\n",
"from source.strategy.maze_solver import MazeSolver\n",
"from source.classes.cell import Cell\n",
"\n",
"\n",
"solver = MazeSolver(maze, DFS(), ConsoleView())\n",
"stats = solver.solve()\n",
"\n",
"[cord.getXY() for cord in maze.getNeighbors(cell=Cell(2, 0))], [cord.getXY() for cord in stats.path]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "857c5c04",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"2\n",
"1\n",
"4\n",
"3\n",
"3\n"
]
},
{
"data": {
"text/plain": [
"{'0', '1', '2', '3', '4'}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def dfs(graph, start, visited=None):\n",
" if visited is None:\n",
" visited = set()\n",
" visited.add(start)\n",
"\n",
" print(start)\n",
"\n",
" for next in graph[start] - visited:\n",
" dfs(graph, next, visited)\n",
" return visited\n",
"\n",
"\n",
"graph = {'0': set(['1', '2']),\n",
" '1': set(['0', '3', '4']),\n",
" '2': set(['0']),\n",
" '3': set(['1']),\n",
" '4': set(['2', '3'])}\n",
"\n",
"dfs(graph, '0')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9a5ea5cb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Размер: 8x6\n",
"(0,0): wall=False, start=True, exit=False\n",
"(1,0): wall=False, start=False, exit=False\n",
"(2,0): wall=False, start=False, exit=False\n",
"(3,0): wall=True, start=False, exit=False\n",
"(4,0): wall=False, start=False, exit=False\n",
"(5,0): wall=True, start=False, exit=False\n",
"(6,0): wall=True, start=False, exit=False\n",
"(7,0): wall=True, start=False, exit=False\n",
"(0,1): wall=True, start=False, exit=False\n",
"(1,1): wall=True, start=False, exit=False\n",
"(2,1): wall=False, start=False, exit=False\n",
"(3,1): wall=True, start=False, exit=False\n",
"(4,1): wall=False, start=False, exit=False\n",
"(5,1): wall=True, start=False, exit=False\n",
"(6,1): wall=False, start=False, exit=False\n",
"(7,1): wall=False, start=False, exit=True\n",
"(0,2): wall=True, start=False, exit=False\n",
"(1,2): wall=False, start=False, exit=False\n",
"(2,2): wall=False, start=False, exit=False\n",
"(3,2): wall=False, start=False, exit=False\n",
"(4,2): wall=False, start=False, exit=False\n",
"(5,2): wall=True, start=False, exit=False\n",
"(6,2): wall=False, start=False, exit=False\n",
"(7,2): wall=True, start=False, exit=False\n",
"(0,3): wall=True, start=False, exit=False\n",
"(1,3): wall=True, start=False, exit=False\n",
"(2,3): wall=True, start=False, exit=False\n",
"(3,3): wall=False, start=False, exit=False\n",
"(4,3): wall=True, start=False, exit=False\n",
"(5,3): wall=True, start=False, exit=False\n",
"(6,3): wall=False, start=False, exit=False\n",
"(7,3): wall=True, start=False, exit=False\n",
"(0,4): wall=True, start=False, exit=False\n",
"(1,4): wall=False, start=False, exit=False\n",
"(2,4): wall=False, start=False, exit=False\n",
"(3,4): wall=False, start=False, exit=False\n",
"(4,4): wall=False, start=False, exit=False\n",
"(5,4): wall=False, start=False, exit=False\n",
"(6,4): wall=False, start=False, exit=False\n",
"(7,4): wall=True, start=False, exit=False\n",
"(0,5): wall=True, start=False, exit=False\n",
"(1,5): wall=True, start=False, exit=False\n",
"(2,5): wall=True, start=False, exit=False\n",
"(3,5): wall=True, start=False, exit=False\n",
"(4,5): wall=True, start=False, exit=False\n",
"(5,5): wall=True, start=False, exit=False\n",
"(6,5): wall=True, start=False, exit=False\n",
"(7,5): wall=True, start=False, exit=False\n",
"\n",
"Клетка (2,0) из лабиринта: wall=True\n",
"Соседи (2,0): [(1, 2)]\n",
"Соседи (1,0): [(0, 0)]\n"
]
}
],
"source": [
"# Проверьте структуру лабиринта\n",
"print(f\"Размер: {maze.width}x{maze.height}\")\n",
"\n",
"# Проверьте конкретные клетки\n",
"for y in range(maze.height):\n",
" for x in range(maze.width):\n",
" cell = maze.cells[y][x]\n",
" print(f\"({x},{y}): wall={cell.isWall}, start={cell.isStart}, exit={cell.isExit}\")\n",
"\n",
"# Проверьте соседей конкретной клетки из лабиринта\n",
"cell_from_maze = maze.cells[2][0] # Берём реальную клетку из лабиринта\n",
"print(f\"\\nКлетка (2,0) из лабиринта: wall={cell_from_maze.isWall}\")\n",
"print(f\"Соседи (2,0): {[n.getXY() for n in maze.getNeighbors(cell_from_maze)]}\")\n",
"\n",
"# Проверьте соседей (1,0)\n",
"cell_1_0 = maze.cells[1][0]\n",
"print(f\"Соседи (1,0): {[n.getXY() for n in maze.getNeighbors(cell_1_0)]}\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "32edf4d1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['S # ###', '## # # E', '# # #', '### ## #', '# #', '########']\n",
"8 6\n"
]
}
],
"source": [
"with open('test_lab.txt') as f:\n",
" data = f.read().splitlines()\n",
" x, y = 0, 0\n",
" width = len(data[0])\n",
" height = len(data)\n",
" print(data)\n",
" print(width, height)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "48d20564",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}