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style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">submission.csv</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">61.7/60.0 KB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">396.6 kB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n</pre>\n","text/plain":"<rich.jupyter.JupyterRenderable at 0x7ff274b4fe50>"}],"_view_module":"@jupyter-widgets/output","_model_module_version":"1.0.0","_view_count":null,"_view_module_version":"1.0.0","layout":"IPY_MODEL_8529e80cf70c446e8d3c20575e9f6836","_model_module":"@jupyter-widgets/output"}},"8529e80cf70c446e8d3c20575e9f6836":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","state":{"_view_name":"LayoutView","grid_template_rows":null,"right":null,"justify_content":null,"_view_module":"@jupyter-widgets/base","overflow":null,"_model_module_version":"1.2.0","_view_count":null,"flex_flow":null,"width":null,"min_width":null,"border":null,"align_items":null,"bottom":null,"_model_module":"@jupyter-widgets/base","top":null,"grid_column":null,"overflow_y":null,"overflow_x":null,"grid_auto_flow":null,"grid_area":null,"grid_template_columns":null,"flex":null,"_model_name":"LayoutModel","justify_items":null,"grid_row":null,"max_height":null,"align_content":null,"visibility":null,"align_self":null,"height":null,"min_height":null,"padding":null,"grid_auto_rows":null,"grid_gap":null,"max_width":null,"order":null,"_view_module_version":"1.2.0","grid_template_areas":null,"object_position":null,"object_fit":null,"grid_auto_columns":null,"margin":null,"display":null,"left":null}}}}},"cells":[{"cell_type":"markdown","metadata":{"id":"ZtEKOsBu2wCX"},"source":["# Getting Started Code for Tile-Slider Challenge\n","#### Authors : \n","👾[Kanish Anand](https://www.linkedin.com/in/kanishanand/)\n","\n","🚀[Animesh Sinha](https://www.linkedin.com/in/animeshsinha1309/)        \n"]},{"cell_type":"markdown","metadata":{"id":"f7ANsXJHQTJF"},"source":["# Download Necessary Packages 📚"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"svQCYLUQOcpK","executionInfo":{"status":"ok","timestamp":1614253769667,"user_tz":-330,"elapsed":10093,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"84a4feee-32dc-403e-c7d5-6b38f680cd14"},"source":["! pip install git+https://gitlab.aicrowd.com/yoogottamk/aicrowd-cli.git >/dev/null\n","%load_ext aicrowd.magic"],"execution_count":1,"outputs":[{"output_type":"stream","text":["  Running command git clone -q https://gitlab.aicrowd.com/yoogottamk/aicrowd-cli.git /tmp/pip-req-build-ark7ofec\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"hMUMGoZZ2wCd"},"source":["## Download data\n","The first step is to download out data. We will be training a classifier on the data and make predictions on data. We submit our predictions\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7yBcx3nYQMk0","executionInfo":{"status":"ok","timestamp":1614253772603,"user_tz":-330,"elapsed":1412,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"b7eea11f-027b-4311-d28f-c4a01c3384d9"},"source":["API_KEY = \"\" #Please enter your API Key [https://www.aicrowd.com/participants/me]\n","%aicrowd login --api-key $API_KEY"],"execution_count":2,"outputs":[{"output_type":"stream","text":["\u001b[32mAPI Key valid\u001b[0m\n","\u001b[32mSaved API Key successfully!\u001b[0m\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"ib5DKhbdQcrE","colab":{"base_uri":"https://localhost:8080/","height":217,"referenced_widgets":["125a6d325ed947a0b03b6a7e8b901d41","c8c4ff0591d34701a11f11d0a9ad9def","4b3e315799e64532b9941acea065363a","faca844ce8df4e41bc94422accf377f8","e2b201d2485d4682832120b1a87d85db","608ea7248e954088aa0d0af7ca66cd79","5e6475af9f3945a29d4f2304ea55424b","7edcccd6c4064a08b9d0e9479fb0b08e","c6d0bf4035404ad3b34df068e4c229b9","19140b7e24d846bc90c63539405d7fc3","de11dfc879f842b1a911063ea07c8ad1","61133dcfbbd449e8a70eed51e4b5b5da","225ecd0d175e46ca9035b255125f0a99","90dc739845e845d3aaeeefafa5cdff94","42de5bbdc4504341b9287410fc8b5115","bcc73ff444a244d89d4155b7b13d19fc","282207bb2ce64494a2b26d5c1e8df7dc","1ef2a77348d74d9cb9b0cc4563a34fdc","649346f61e8c46c0b201154fc7909a21","3461859613064f3abaf14638c83da304","347967a707894bf99081ca29da3145a6","24fd0e9c289f45e9a67136f5907b286b","a055013b60f140068189a61342485f66","fe90200e3eee45159f7b550b5c9437a8","21197126eac244b9bef1ab65dc0064f3","21847fbdd11148589fdf8527eef33e17","091b8e357ede4aa881af1f4235eab610","f1d3da3974a840e593180fc1f61bb561","c6af285477c74d00a191966f8da5629c","85c270b414ec420ab9c76579474a14ad","3b1ee9b28c134f1d8961df2e447d34ad","f24f33335a024f75ae5a865858d1135b"]},"executionInfo":{"status":"ok","timestamp":1614253781668,"user_tz":-330,"elapsed":8418,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"a15d2dde-0813-488a-cd2a-1a796a64b1ed"},"source":["%aicrowd dataset download -c tile-slider -j 3\n","%aicrowd dataset download --challenge tile-slider -j 3"],"execution_count":3,"outputs":[{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"125a6d325ed947a0b03b6a7e8b901d41","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='sample_submission.csv', max=60015.0, style=ProgressStyle(…"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"c6d0bf4035404ad3b34df068e4c229b9","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='dataset.zip', max=724488.0, style=ProgressStyle(descripti…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"282207bb2ce64494a2b26d5c1e8df7dc","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='sample_submission.csv', max=60015.0, style=ProgressStyle(…"]},"metadata":{"tags":[]}},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"21197126eac244b9bef1ab65dc0064f3","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='dataset.zip', max=724488.0, style=ProgressStyle(descripti…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"KM91aXAw2wCe","executionInfo":{"status":"ok","timestamp":1614253790855,"user_tz":-330,"elapsed":1411,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}}},"source":["! unzip -q dataset.zip"],"execution_count":4,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"U7H2PP692wCg"},"source":["\n","## Import packages"]},{"cell_type":"code","metadata":{"id":"zv0sEu7z2wCg","executionInfo":{"status":"ok","timestamp":1614253793374,"user_tz":-330,"elapsed":1078,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}}},"source":["import os\n","import random\n","import tqdm\n","import pandas as pd\n","import numpy as np"],"execution_count":5,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"Pc0brLwc2wCi"},"source":["## Load Data"]},{"cell_type":"code","metadata":{"id":"eBwUmeV92wCj","executionInfo":{"status":"ok","timestamp":1614253798116,"user_tz":-330,"elapsed":1376,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}}},"source":["DATA_PATH = \"dataset/\" #path where data is stored"],"execution_count":6,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"NMtGgNBv2wCo"},"source":["## Visualize the data 👀"]},{"cell_type":"code","metadata":{"id":"mEKcS2Lr2wCp","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1614253800979,"user_tz":-330,"elapsed":1103,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"924395cc-6911-4ec5-bc0d-a480e9619d87"},"source":["file = open(os.path.join(DATA_PATH,os.listdir(DATA_PATH)[0]), \"r\")\n","print(file.read())"],"execution_count":7,"outputs":[{"output_type":"stream","text":["40 40\n","#.#...#..#.....##...#.....##..#......###\n",".#.#...#..###..#.#..#.......#....#.#..#.\n","#......##.....##......##........#..##..#\n","##........#.#..#.#...#....#.##.....#....\n",".......#.#..#..###...#....#.####.#.....#\n","#...#.......#..#.#.##.#...#.#........#..\n","#...##.#.#.#...#.....#..#.##.#...#..#.##\n",".#.#......###...#.....#.###...#..#.....#\n",".#...............#....##.....#........##\n",".#...#......#..#.#.##....#..#...#.#...#.\n","..#....##....####...#.###......##.#..#.#\n","#...#.#.##.#....#..#...#.#.#..#...#.##.#\n","..#.#..#....###.##.###...............##.\n","..#........#....#.....#......#.#.......#\n","#..###.##..#...#..#..#..#..#..#....#.#.#\n","..#.........##....#..#..#....#....#....#\n","#...#....##.##.#..#....#..###......#.#.#\n",".#...#.......#..#..#.#.##.#...#...#.#.#.\n",".#..##....#.........#..#........#....##.\n","..............#.#....#.##...........##..\n",".##....#........##..#.#..#..##..#.......\n","#....###..#.#....##.......#..#..###.....\n",".#......#..##..........##....##....##...\n","...###...#.##.....#.#...###......#....#.\n","#.....##.##.#.....#....#.#..##...#...##.\n","#...##.....#...#..#.###...##..#..#....##\n","..#.......#..##...##...#..........#.....\n","..#...#....####.#.....#...#.####....#...\n",".....##..#..###...###...#..#.....#..##..\n",".#.#..............#.#.##..#...#.#.#....#\n",".......#.....#..#..##...#...#.....##...#\n","##...#...#.###....##.#...#.###.......#.#\n","..#.#.###..#.........####.#....#.....#..\n",".........#.##.#....#.#.#...#...#....#...\n","#.#....#.....##...#...##.##.###.#...#...\n","....##..............##..####.#.##....#.#\n","#........##...................##........\n","##..##..#.##..#......##.##.#.#.#..#..###\n",".#..#...#.#....#..#.#.......##.#....#.##\n","..#.#...........##...#............#..#.#\n","5\n","8 35 9 37\n","39 12 33 0\n","0 14 0 10\n","33 6 39 18\n","16 20 19 17\n","\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"quSVK2i5wHDj"},"source":["# Helper Functions\n","Below class provides helper functions to load grid from given text files and make moves in the grid."]},{"cell_type":"code","metadata":{"id":"VX9Vu9SUwG22","executionInfo":{"status":"ok","timestamp":1614253804367,"user_tz":-330,"elapsed":1417,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}}},"source":["class GridState:\n","    def __init__(self, input_file):\n","        self.UP = (-1, 0)\n","        self.DOWN = (1, 0)\n","        self.LEFT = (0, -1)\n","        self.RIGHT = (0, 1)\n","        self.load(input_file)\n","\n","    def load(self, input_file):\n","        file = open(input_file, 'r')\n","        # Get the Grid\n","        self.n, self.m = list(map(int, file.readline().strip().split()))\n","        self.grid = np.array(\n","            [[cell == \".\" for cell in file.readline().strip()] for _ in range(self.n)])\n","        k = int(file.readline().strip())\n","        self.tiles, self.targets = [], []\n","        for _ in range(k):\n","            line = list(map(int, file.readline().strip().split()))\n","            self.tiles.append((line[0], line[1]))\n","            self.targets.append((line[2], line[3]))\n","        file.close()\n","\n","    def move_value(self, direction):\n","        if direction == 'U':\n","            return self.UP\n","        elif direction == 'D':\n","            return self.DOWN\n","        elif direction == 'L':\n","            return self.LEFT\n","        elif direction == 'R':\n","            return self.RIGHT\n","\n","    def move(self, move):\n","        delta_r, delta_c = self.move_value(move)\n","        flag = 0\n","        for _ in range(max(self.n, self.m) + 1):\n","            for idx, tile in enumerate(self.tiles):\n","                next_r, next_c = tile[0] + delta_r, tile[1] + delta_c\n","                if 0 <= next_r < self.n and 0 <= next_c < self.m and \\\n","                        self.grid[next_r, next_c] and (next_r, next_c) not in self.tiles:\n","                    flag = 1\n","                    tile = tile[0] + delta_r, tile[1] + delta_c\n","                self.tiles[idx] = tile\n","            # no change in any tile\n","            if flag == 0:\n","                break"],"execution_count":8,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"QQp1N8J5mgne"},"source":["# TRAINING PHASE 🏋️"]},{"cell_type":"markdown","metadata":{"id":"yeedW4GrevP5"},"source":["Here we are applying a random set of moves for each given grid and checking if that set of moves solves puzzle or not."]},{"cell_type":"code","metadata":{"id":"I6b1ND1B5Xb6","executionInfo":{"status":"ok","timestamp":1614253811612,"user_tz":-330,"elapsed":1373,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}}},"source":["def create_random_moves(moves_length):\n","    seq = ['U', 'D', 'L', 'R']\n","    moves = ''.join(random.choices(seq, k=moves_length))\n","    return moves"],"execution_count":9,"outputs":[]},{"cell_type":"code","metadata":{"id":"sBzylNUPz2Ba","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1614253820852,"user_tz":-330,"elapsed":9852,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"8841a1cc-d094-4503-f34d-6edf8326340c"},"source":["solved = 0\n","moves_length = 20\n","lst = sorted(os.listdir(DATA_PATH))\n","total = len(lst)\n","df = pd.DataFrame(columns = {'filename', 'moves'})\n","\n","for file in tqdm.tqdm(lst):\n","  path = os.path.join(DATA_PATH, file)\n","  obj = GridState(path)\n","  moves = create_random_moves(moves_length)\n","  for direction in moves:\n","      obj.move(direction)\n","      if obj.tiles == obj.targets:\n","          # print(obj.tiles, obj.targets)\n","          solved += 1\n","          # print(\"Puzzle Solved\")\n","          break\n","  df = df.append({'filename':file, 'moves': moves}, ignore_index = True)"],"execution_count":10,"outputs":[{"output_type":"stream","text":["100%|██████████| 2000/2000 [00:08<00:00, 234.71it/s]\n"],"name":"stderr"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":198},"id":"IKD5oqeZ1tkM","executionInfo":{"status":"ok","timestamp":1614253820853,"user_tz":-330,"elapsed":5635,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"4ec58854-6950-4ad3-8af6-811062d22267"},"source":["df.head()"],"execution_count":11,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>moves</th>\n","      <th>filename</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>RDDRRLRRDDDDRUUDURRR</td>\n","      <td>0001.txt</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>LULRRDDLRRDLLLULRURR</td>\n","      <td>0002.txt</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>LRDDURRULRUDLLRRLRDU</td>\n","      <td>0003.txt</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>DUURDLDDDDDLRUURLUUR</td>\n","      <td>0004.txt</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>RURDLULLUURUUUUDDRUU</td>\n","      <td>0005.txt</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                  moves  filename\n","0  RDDRRLRRDDDDRUUDURRR  0001.txt\n","1  LULRRDDLRRDLLLULRURR  0002.txt\n","2  LRDDURRULRUDLLRRLRDU  0003.txt\n","3  DUURDLDDDDDLRUURLUUR  0004.txt\n","4  RURDLULLUURUUUUDDRUU  0005.txt"]},"metadata":{"tags":[]},"execution_count":11}]},{"cell_type":"markdown","metadata":{"id":"5z-zEWhz2wC8"},"source":["## Evaluate the Performance"]},{"cell_type":"code","metadata":{"id":"7My62Dvw2wC-","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1614253825627,"user_tz":-330,"elapsed":1447,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"9912967c-5ab8-4942-bc62-c3c270dbf0ee"},"source":["print(\"Number of puzzles solved is :\" ,solved)\n","print(\"Percentage of puzzles solved :\" , (solved/total)*100)"],"execution_count":12,"outputs":[{"output_type":"stream","text":["Number of puzzles solved is : 34\n","Percentage of puzzles solved : 1.7000000000000002\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"CzNzVf_p2wDI"},"source":["## Save the prediction to csv"]},{"cell_type":"code","metadata":{"id":"xkYnHOAh2wDL","executionInfo":{"status":"ok","timestamp":1614253832426,"user_tz":-330,"elapsed":1391,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}}},"source":["submission = pd.DataFrame(df)\n","submission.to_csv('submission.csv',index=False)"],"execution_count":13,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"VlYQsWiX2wDM"},"source":["🚧 Note :    \n","- Do take a look at the submission format.   \n","- The submission file should contain a header.   \n","- Follow all submission guidelines strictly to avoid inconvenience."]},{"cell_type":"markdown","metadata":{"id":"-dHkb4QE2wDP"},"source":["### Well Done! 👍 We are all set to make a submission and see your name on leaderborad. "]},{"cell_type":"code","metadata":{"id":"OKNgJfyHzcTd","colab":{"base_uri":"https://localhost:8080/","height":325,"referenced_widgets":["52a537f2f4f345b9a7bf551cdf224a42","8529e80cf70c446e8d3c20575e9f6836"]},"executionInfo":{"status":"ok","timestamp":1614253836709,"user_tz":-330,"elapsed":3437,"user":{"displayName":"Kanish Anand","photoUrl":"","userId":"02302143370643625965"}},"outputId":"dd753683-578d-453f-887a-443d0fe11744"},"source":["%aicrowd submission create -c tile-slider -f submission.csv"],"execution_count":14,"outputs":[{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"52a537f2f4f345b9a7bf551cdf224a42","version_minor":0,"version_major":2},"text/plain":["Output()"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["                                       ╭─────────────────────────╮                                       \n","                                       │ Successfully submitted! │                                       \n","                                       ╰─────────────────────────╯                                       \n","                                             Important links                                             \n","┌──────────────────┬────────────────────────────────────────────────────────────────────────────────────┐\n","│  This submission │ https://www.aicrowd.com/challenges/ml-battleground/submissions/123258              │\n","│                  │                                                                                    │\n","│  All submissions │ https://www.aicrowd.com/challenges/ml-battleground/submissions?my_submissions=true │\n","│                  │                                                                                    │\n","│      Leaderboard │ https://www.aicrowd.com/challenges/ml-battleground/leaderboards                    │\n","│                  │                                                                                    │\n","│ Discussion forum │ https://discourse.aicrowd.com/c/ml-battleground                                    │\n","│                  │                                                                                    │\n","│   Challenge page │ https://www.aicrowd.com/challenges/ml-battleground                                 │\n","└──────────────────┴────────────────────────────────────────────────────────────────────────────────────┘\n","{'submission_id': 123258, 'created_at': '2021-02-25T11:51:34.527Z'}\n"],"name":"stdout"}]}]}