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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Write a function that takes in a (x,y) coordinate and a grid and returns the sum \n", | |
"of all the neighbors. A neighbor is defined as up/down/left/right/diagonal." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import random" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def generate_grid(rows, cols):\n", | |
" return [[random.randint(0,9) for i in range(rows)] for j in range(cols)]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[2, 4, 6, 1, 4]\n", | |
"[1, 6, 4, 2, 8]\n", | |
"[6, 9, 1, 3, 8]\n", | |
"[6, 2, 8, 1, 8]\n", | |
"[8, 7, 9, 9, 7]\n" | |
] | |
} | |
], | |
"source": [ | |
"my_grid = generate_grid(5, 5)\n", | |
"for row in my_grid:\n", | |
" print(row)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Solution" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def sum_neighbors(coordinate, grid):\n", | |
" # A neighbor is defined as up/down/left/right/diagonals\n", | |
" neighbors = [(0, -1), (0, 1), (-1, 0), (1, 0), (-1, -1), (-1, 1), (1, -1), (1, 1)]\n", | |
" return sum([find_neighbor(coordinate, grid, neighbor) for neighbor in neighbors])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def find_neighbor(coordinate, grid, neighbor):\n", | |
" x, y = coordinate[0] + neighbor[0], coordinate[1] + neighbor[1] \n", | |
" # Don't allow negative indices\n", | |
" if x < 0 or y < 0:\n", | |
" return 0\n", | |
" \n", | |
" try:\n", | |
" return grid[x][y]\n", | |
" except:\n", | |
" return 0" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Tests" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"grid = [\n", | |
" [0, 3, 6, 8, 1],\n", | |
" [2, 7, 5, 0, 3],\n", | |
" [1, 0, 3, 4, 9],\n", | |
" [7, 3, 8, 4, 5],\n", | |
" [2, 3, 9, 5, 7]\n", | |
"]\n", | |
"\n", | |
"test_cases = [\n", | |
" {'coordinate': (0,0), 'expected': 12},\n", | |
" {'coordinate': (1,1), 'expected': 20},\n", | |
" {'coordinate': (2,2), 'expected': 31},\n", | |
" {'coordinate': (3,3), 'expected': 50},\n", | |
" {'coordinate': (4,4), 'expected': 14}\n", | |
"]\n", | |
"\n", | |
"for case in test_cases:\n", | |
" actual = sum_neighbors(case['coordinate'], grid)\n", | |
" expected = case['expected']\n", | |
" assert actual == expected, f\"Actual: {actual} / Expected: {expected}\"" | |
] | |
} | |
], | |
"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": "3.7.3" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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