{ "cells": [ { "cell_type": "markdown", "id": "5a451b18", "metadata": {}, "source": [ "NAME:" ] }, { "cell_type": "markdown", "id": "5112bda3-5774-4eee-9dcb-5893136ac5dc", "metadata": {}, "source": [ "# UE5 Fundamentals of Algorithms\n", "# Lab 11: Graphs/Matrix" ] }, { "cell_type": "markdown", "id": "3054b63b-5b4a-4b07-a129-71951eaee576", "metadata": {}, "source": [ "---" ] }, { "cell_type": "markdown", "id": "6892d60b-b418-486b-a1db-008652e04457", "metadata": {}, "source": [ "## How to Get Out of a Maze?\n", "\n", "In this exercise, you will write an algorithm to navigate out of a maze. The maze will be represented as a 2D matrix (discrete coordinates), which will serve as the data structure for storage and traversal. The starting point of the traversal will always be at the coordinates `(0, 0)` in the top-left corner, and the endpoint will be the bottom-right corner (in the case of the example below, `(9, 9)`). Walls with a value of `1` are impassable, and you also cannot move outside the matrix. Movement is possible in 8 directions: up, down, left, right, and their corresponding diagonals. In this exercise, you will explore three traversal methods. Note that there can be multiple different, but all valid, solutions." ] }, { "cell_type": "markdown", "id": "56b3cb10-e5e1-4c1e-8a38-948b97b2ad47", "metadata": {}, "source": [ "**Question 1.1 -** Run the program below, which loads the maze and includes a display function. Identify one of the paths leading to the exit. Modify the code to display walls using `#` instead of `1`." ] }, { "cell_type": "code", "execution_count": null, "id": "5de72656-1ea0-4662-afd7-7d3c60c77612", "metadata": {}, "outputs": [], "source": [ "maze = [[0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n", " [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]\n", "\n", "\n", "def display_maze(l):\n", " print('\\n'.join([''.join([\"# \" if item == 1 else str(item) + \" \" for item in row]) \n", " for row in l]))\n", " \n", "display_maze(maze)" ] }, { "cell_type": "markdown", "id": "d56f24af-bf15-488c-8439-4a02b183964a", "metadata": { "tags": [] }, "source": [ "Give a valid path (that links the top left corner with the bottom-right corner) using the cell coordinates. E.g. `(0, 0), (1, 0) ... (9, 9)`\n", "```\n", "* 0 0 0 1 0 0 0 0 0\n", "* 0 0 0 1 0 0 0 0 0\n", "* 0 0 0 1 0 0 0 0 0\n", "* 0 0 0 1 0 0 0 0 0\n", "* 0 0 0 1 0 0 0 0 0\n", "* * * * * * 0 0 0 0\n", "0 0 0 0 1 * 0 0 0 0\n", "0 0 0 0 1 * 0 0 0 0\n", "0 0 0 0 1 * 0 0 0 0\n", "0 0 0 0 0 * * * * *\n", "```" ] }, { "cell_type": "code", "execution_count": null, "id": "480e043f-9041-4462-a2b8-cdfd0b5a9253", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "25c7e63ee2eb469bb88bfac786552ba8", "grade": false, "grade_id": "cell-b7d96dc4683b1703", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "path = [\n", " # YOUR CODE HERE\n", " raise NotImplementedError()\n", "]" ] }, { "cell_type": "markdown", "id": "4b8613a0-7a9d-40b3-9786-33811bb079fc", "metadata": { "tags": [] }, "source": [ "Write an algorithm that draws the path on a given maze (using `*`). Make sur you coupy the maze values using `[row[:] for row in maze]`." ] }, { "cell_type": "code", "execution_count": null, "id": "82eb2cca-bc6b-46b0-8bb6-867023701fe0", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "28320543044ad11fad2d9ecf671b1b4d", "grade": false, "grade_id": "cell-35b9fc43128af1f4", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def display_path_on_maze(maze, path):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "code", "execution_count": null, "id": "3e47e24b-7c77-4a73-b793-7294058f966d", "metadata": { "tags": [] }, "outputs": [], "source": [ "display_path_on_maze(maze, path)" ] }, { "cell_type": "markdown", "id": "10287b07-ed9e-4a62-844f-1831d1be46a5", "metadata": {}, "source": [ "Write a function that checks if a path is valid for the maze given previously.\n", "\n", "1. The path must start at (0, 0) and end at (n-1, m-1).\n", "2. Each cell in the path must be accessible (value 0).\n", "3. The movement between consecutive cells must be valid (one of 8 directions).\n", "4. The next cell must be within bounds and accessible.\n", "5. The final cell must be accessible." ] }, { "cell_type": "code", "execution_count": null, "id": "3968dce5-9ed6-45f9-8814-c097851c9291", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "92d658b3e9e418dba0591194fbd6f501", "grade": false, "grade_id": "cell-aac5bf14c89fadb2", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def is_valid_path(maze, path):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "code", "execution_count": null, "id": "27c1fa22-bfa1-4c10-820c-13b3ffc35f1d", "metadata": { "tags": [] }, "outputs": [], "source": [ "assert is_valid_path(maze, path)\n", "assert not is_valid_path(maze, [(0, 0)])\n", "assert not is_valid_path(maze, [(-1, -1)])" ] }, { "cell_type": "markdown", "id": "3887d798-7d13-4bfd-9d5b-e9357e998bca", "metadata": {}, "source": [ "**Question 1.2 -** Write a function `neighbors` that returns all the neighbors of a cell (i.e., all other cells accessible from this cell)." ] }, { "cell_type": "code", "execution_count": null, "id": "2363dbae-a62e-4f3a-b399-c8f172b6bd09", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "27ebce61a4229f4207efdfa1694fdad0", "grade": false, "grade_id": "cell-a45a6dc113f72b51", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def neighbors(maze, x, y):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "code", "execution_count": null, "id": "9554f674-f8c2-4784-9de0-7f553db68802", "metadata": { "tags": [] }, "outputs": [], "source": [ "assert set(neighbors(maze, 0, 0)) == {(1, 0), (1, 1), (0, 1)} # the top left cell has 3 neighbors\n", "assert set(neighbors(maze, 1, 1)) == {(0, 0), (0, 1), (0, 2), (1, 0), (1, 2), (2, 0), (2, 1), (2, 2)}" ] }, { "cell_type": "code", "execution_count": null, "id": "c08bf511-16e4-4d7e-9641-9e6aec991cc9", "metadata": { "tags": [] }, "outputs": [], "source": [ "neighbors(maze, 4, 5)" ] }, { "cell_type": "markdown", "id": "a8290326-ce83-4824-b7eb-22b45983032d", "metadata": {}, "source": [ "Write a function that calls the `neighbors` and returns all the values from a given point, make sure they are all zeros." ] }, { "cell_type": "code", "execution_count": null, "id": "1048003e-f4e2-4ace-a953-818750f36934", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "83d7271ac5c83fb629735140a9fddc84", "grade": false, "grade_id": "cell-8ff7571fa5dfcf65", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def neighbor_values_from_point(maze, x, y):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "code", "execution_count": null, "id": "1285617c-f3c8-4c03-a002-2e18bb8efc00", "metadata": { "tags": [] }, "outputs": [], "source": [ "assert all(v == 0 for v in neighbor_values_from_point(maze, 4, 5))" ] }, { "cell_type": "markdown", "id": "7b0c72c0-c1bc-4783-8ea9-e83860763070", "metadata": {}, "source": [ "Propose an algorithm to determine if there is a path connecting the entry and the exit. In this question, you will use a depth-first search (DFS) approach with a recursive implementation. The stopping condition for your search algorithm is reached if you are on the exit cell or if all neighbors have been visited. The algorithm should return `True` if a path exists, or `False` if it does not. You may use the `neighbors` function written previously." ] }, { "cell_type": "code", "execution_count": null, "id": "5c839ee8-6339-4235-975a-fdc0190e5821", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "882e14fb59d0b1b7209b7402a4a165b3", "grade": false, "grade_id": "cell-6e874315f3dd952b", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def exist_dfs(maze, x0=0, y0=0, visited=None):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "markdown", "id": "995d1bf9-5fd1-4011-828f-26044ee8a184", "metadata": {}, "source": [ "Write tests." ] }, { "cell_type": "code", "execution_count": null, "id": "23e09473-c451-43fe-aa63-c8151c1ce01b", "metadata": { "tags": [] }, "outputs": [], "source": [ "assert exist_dfs(maze)\n", "assert not exist_dfs([[0, 1], [1, 1]])\n", "assert exist_dfs([[0, 1], [0, 0]])" ] }, { "cell_type": "markdown", "id": "db449e33-b3b2-4525-a8fe-cd5fffa0bb23", "metadata": {}, "source": [ "**Exercise 1.3 -** We now use a _breadth-first search (BFS)_ algorithm with an _iterative_ implementation to determine if an exit exists." ] }, { "cell_type": "code", "execution_count": null, "id": "b4ca764e-e1f7-4e17-9b03-dcadde3434c9", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "1a48ff76370ffffb0025515e27d8fb45", "grade": false, "grade_id": "cell-07e7d9e3ea11477c", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def exist_bfs(maze):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "markdown", "id": "1a131d46-7f70-4c3d-b8c3-4df7c6f8ce1e", "metadata": {}, "source": [ "Compare to the dfs." ] }, { "cell_type": "code", "execution_count": null, "id": "8380bc3a-fbd6-4405-a08d-1770af316bf8", "metadata": { "tags": [] }, "outputs": [], "source": [ "assert exist_bfs(maze)\n", "assert exist_bfs([[0, 1], [1, 1]]) == exist_dfs([[0, 1], [1, 1]])\n", "assert exist_bfs([[0, 1], [0, 0]]) == exist_dfs([[0, 1], [0, 0]])" ] }, { "cell_type": "markdown", "id": "10e47cd3-948e-44a5-9172-9ad540978310", "metadata": {}, "source": [ "Now implement a backtracking approach to provide the path to the exit. To achieve this use a dictionnary to store the `previous` step before processing the node.\n", "\n", "1. If no path exists (`previous` is empty), return None.\n", "2. Initialize the path with the end position: `path = [end]`.\n", "3. While the current position is not the start, set `(x, y) = previous[y][x]` and append `(x, y)` to the path.\n", "4. Reverse the path to get it from start to end." ] }, { "cell_type": "code", "execution_count": null, "id": "5f54b7dc-4a6a-4382-9c0e-eb57bbd38dc1", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "7b745dade6cdc1b21e51205af80778b2", "grade": false, "grade_id": "cell-8284f5069db6e454", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def path_bfs(maze):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "markdown", "id": "327f6930-2a62-4b38-a5a4-8f53f3a360a1", "metadata": {}, "source": [ "# Bonus questions" ] }, { "cell_type": "markdown", "id": "03a90755-ff99-4839-a0be-ab09854f340e", "metadata": { "tags": [] }, "source": [ "Write a function that generates an empty maze:" ] }, { "cell_type": "code", "execution_count": null, "id": "4ef141a5-e2fb-4fd4-b186-6e5bd1f0f463", "metadata": { "deletable": false, "nbgrader": { "cell_type": "code", "checksum": "662fda73fc5249cfeae27e8865fa96e2", "grade": false, "grade_id": "cell-75d2a2d7b53d889d", "locked": false, "schema_version": 3, "solution": true, "task": false }, "tags": [] }, "outputs": [], "source": [ "def generate_empty_maze(rows, cols):\n", " # YOUR CODE HERE\n", " raise NotImplementedError()" ] }, { "cell_type": "code", "execution_count": null, "id": "f19ddefd-b4e8-497d-a704-97a3e0c3de6b", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }