├── .gitignore ├── README.md └── solution_assets └── 1041_robot_bounded_in_circle ├── robot_trajectory.html └── robot_trajectory.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | .idea -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | Please visit our solution articles at: https://leetcode.com/articles/ 2 | -------------------------------------------------------------------------------- /solution_assets/1041_robot_bounded_in_circle/robot_trajectory.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 96, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "def build(instructions: str, repeat: int):\n", 10 | " # up, right, down, left\n", 11 | " directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]\n", 12 | " # initial position is in the center, facing up\n", 13 | " x = y = idx = 0\n", 14 | " output_x = [0]\n", 15 | " output_y = [0]\n", 16 | " for _ in range(repeat):\n", 17 | " for i in instructions:\n", 18 | " if i == \"G\":\n", 19 | " x += directions[idx][0]\n", 20 | " y += directions[idx][1]\n", 21 | " output_x.append(x)\n", 22 | " output_y.append(y)\n", 23 | " elif i == \"L\":\n", 24 | " idx = (idx + 3) % 4\n", 25 | " elif i == \"R\":\n", 26 | " idx = (idx + 1) % 4\n", 27 | " return output_x, output_y" 28 | ] 29 | }, 30 | { 31 | "cell_type": "code", 32 | "execution_count": 97, 33 | "metadata": {}, 34 | "outputs": [], 35 | "source": [ 36 | "import numpy as np\n", 37 | "import matplotlib.pyplot as plt\n", 38 | "\n", 39 | "def plot_build(s: str, repeat: int):\n", 40 | " x, y = build(s, repeat)\n", 41 | " \n", 42 | " u = np.diff(x)\n", 43 | " v = np.diff(y)\n", 44 | " pos_x = x[:-1] + u/2\n", 45 | " pos_y = y[:-1] + v/2\n", 46 | " norm = np.sqrt(u**2 + v**2) \n", 47 | "\n", 48 | " plt.quiver(pos_x, pos_y, u/norm, v/norm, pivot = 'tail', color = 'black')\n", 49 | " plt.plot(x, y, marker = \"o\", color = 'r')\n", 50 | " plt.xticks(x)\n", 51 | " plt.yticks(y)\n", 52 | " plt.ylim(top = max(y) + 1.5)\n", 53 | " plt.annotate(\"string = \\\"{}\\\", cycles = {}\".format(s, repeat), (min(x), max(y) + 1))\n", 54 | " plt.show()" 55 | ] 56 | }, 57 | { 58 | "cell_type": "code", 59 | "execution_count": 108, 60 | "metadata": {}, 61 | "outputs": [ 62 | { 63 | "data": { 64 | "image/png": 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\n", 65 | "text/plain": [ 66 | "
" 67 | ] 68 | }, 69 | "metadata": {}, 70 | "output_type": "display_data" 71 | } 72 | ], 73 | "source": [ 74 | " plot_build(\"GRGL\", 4)" 75 | ] 76 | }, 77 | { 78 | "cell_type": "code", 79 | "execution_count": 125, 80 | "metadata": {}, 81 | "outputs": [ 82 | { 83 | "data": { 84 | "image/png": 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\n", 85 | "text/plain": [ 86 | "
" 87 | ] 88 | }, 89 | "metadata": {}, 90 | "output_type": "display_data" 91 | } 92 | ], 93 | "source": [ 94 | "plot_build(\"GGGLGLGLGGL\", 3)" 95 | ] 96 | }, 97 | { 98 | "cell_type": "code", 99 | "execution_count": 121, 100 | "metadata": {}, 101 | "outputs": [ 102 | { 103 | "data": { 104 | "image/png": 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\n", 105 | "text/plain": [ 106 | "
" 107 | ] 108 | }, 109 | "metadata": {}, 110 | "output_type": "display_data" 111 | } 112 | ], 113 | "source": [ 114 | "plot_build(\"GGGLGLGLGG\", 4)" 115 | ] 116 | }, 117 | { 118 | "cell_type": "code", 119 | "execution_count": 111, 120 | "metadata": {}, 121 | "outputs": [ 122 | { 123 | "data": { 124 | "image/png": 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\n", 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\n", 145 | "text/plain": [ 146 | "
" 147 | ] 148 | }, 149 | "metadata": {}, 150 | "output_type": "display_data" 151 | } 152 | ], 153 | "source": [ 154 | "plot_build(\"GGGRGLGL\", 4)" 155 | ] 156 | }, 157 | { 158 | "cell_type": "code", 159 | "execution_count": null, 160 | "metadata": {}, 161 | "outputs": [], 162 | "source": [] 163 | } 164 | ], 165 | "metadata": { 166 | "kernelspec": { 167 | "display_name": "Python 3", 168 | "language": "python", 169 | "name": "python3" 170 | }, 171 | "language_info": { 172 | "codemirror_mode": { 173 | "name": "ipython", 174 | "version": 3 175 | }, 176 | "file_extension": ".py", 177 | "mimetype": "text/x-python", 178 | "name": "python", 179 | "nbconvert_exporter": "python", 180 | "pygments_lexer": "ipython3", 181 | "version": "3.6.5" 182 | } 183 | }, 184 | "nbformat": 4, 185 | "nbformat_minor": 2 186 | } 187 | --------------------------------------------------------------------------------