interactive-coding-challenges/recursion_dynamic/grid_path/grid_path_challenge.ipynb

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2017-03-28 17:07:25 +08:00
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"This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Challenge Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Implement an algorithm to have a robot move from the upper left corner to the bottom right corner of a grid.\n",
"\n",
"* [Constraints](#Constraints)\n",
"* [Test Cases](#Test-Cases)\n",
"* [Algorithm](#Algorithm)\n",
"* [Code](#Code)\n",
"* [Unit Test](#Unit-Test)\n",
"* [Solution Notebook](#Solution-Notebook)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constraints\n",
"\n",
"* Are there restrictions to how the robot moves?\n",
" * The robot can only move right and down\n",
"* Are some cells off limits?\n",
" * Yes\n",
"* Is this a rectangular grid? i.e. the grid is not jagged?\n",
" * Yes\n",
"* Will there always be a valid way for the robot to get to the bottom right?\n",
" * No, return None\n",
"* Can we assume the inputs are valid?\n",
" * No\n",
"* Can we assume this fits memory?\n",
" * Yes"
]
},
{
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"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"<pre>\n",
"o = valid cell\n",
"x = invalid cell\n",
"\n",
" 0 1 2 3\n",
"0 o o o o\n",
"1 o x o o\n",
"2 o o x o\n",
"3 x o o o\n",
"4 o o x o\n",
"5 o o o x\n",
"6 o x o x\n",
"7 o x o o\n",
"</pre>\n",
"\n",
"* General case\n",
"\n",
"```\n",
"expected = [(0, 0), (1, 0), (2, 0),\n",
" (2, 1), (3, 1), (4, 1),\n",
" (5, 1), (5, 2), (6, 2), \n",
" (7, 2), (7, 3)]\n",
"```\n",
"\n",
"* No valid path: In above example, row 7 col 2 is also invalid -> None\n",
"* None input -> None\n",
"* Empty matrix -> None"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
"Refer to the [Solution Notebook](). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": null,
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"collapsed": false
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"source": [
"class Grid(object):\n",
"\n",
" def find_path(self, matrix):\n",
" # TODO: Implement me\n",
" pass"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unit Test"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**The following unit test is expected to fail until you solve the challenge.**"
]
},
{
"cell_type": "code",
"execution_count": null,
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"collapsed": false
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"source": [
"# %load test_grid_path.py\n",
"from nose.tools import assert_equal\n",
"\n",
"\n",
"class TestGridPath(object):\n",
"\n",
" def test_grid_path(self):\n",
" grid = Grid()\n",
" assert_equal(grid.find_path(None), None)\n",
" assert_equal(grid.find_path([[]]), None)\n",
" max_rows = 8\n",
" max_cols = 4\n",
" matrix = [[1] * max_cols for _ in range(max_rows)]\n",
" matrix[1][1] = 0\n",
" matrix[2][2] = 0\n",
" matrix[3][0] = 0\n",
" matrix[4][2] = 0\n",
" matrix[5][3] = 0\n",
" matrix[6][1] = 0\n",
" matrix[6][3] = 0\n",
" matrix[7][1] = 0\n",
" result = grid.find_path(matrix)\n",
" expected = [(0, 0), (1, 0), (2, 0),\n",
" (2, 1), (3, 1), (4, 1),\n",
" (5, 1), (5, 2), (6, 2), \n",
" (7, 2), (7, 3)]\n",
" assert_equal(result, expected)\n",
" matrix[7][2] = 0\n",
" result = grid.find_path(matrix)\n",
" assert_equal(result, None)\n",
" print('Success: test_grid_path')\n",
"\n",
"\n",
"def main():\n",
" test = TestGridPath()\n",
" test.test_grid_path()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Solution Notebook\n",
"\n",
"Review the [Solution Notebook]() for a discussion on algorithms and code solutions."
]
}
],
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