daviddoji/pytudes
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Remove warnings on mybinder from Maze.ipynb

Browse Source
This commit is contained in:
Peter Norvig 2018-03-15 13:04:15 -07:00 committed by GitHub
parent 7dac464878
commit 29869eb511
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 27 additions and 28 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

55
ipynb/Maze.ipynb
View File

@ -161,7 +161,7 @@
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"Maze(width=10, height=5, edges=[((6, 3), (7, 3)), ((6, 2), (6, 3)), ((5, 2), (6, 2)), ((5, 1), (5, 2)), ((5, 1), (6, 1)), ((6, 0), (6, 1)), ((6, 0), (7, 0)), ((7, 0), (8, 0)), ((8, 0), (8, 1)), ((8, 1), (9, 1)), ((9, 0), (9, 1)), ((9, 1), (9, 2)), ((9, 2), (9, 3)), ((9, 3), (9, 4)), ((8, 4), (9, 4)), ((7, 4), (8, 4)), ((6, 4), (7, 4)), ((5, 4), (6, 4)), ((5, 3), (5, 4)), ((4, 3), (5, 3)), ((4, 2), (4, 3)), ((3, 2), (4, 2)), ((3, 2), (3, 3)), ((3, 3), (3, 4)), ((3, 4), (4, 4)), ((2, 4), (3, 4)), ((2, 3), (2, 4)), ((1, 3), (2, 3)), ((1, 2), (1, 3)), ((1, 2), (2, 2)), ((2, 1), (2, 2)), ((2, 1), (3, 1)), ((3, 1), (4, 1)), ((4, 0), (4, 1)), ((3, 0), (4, 0)), ((2, 0), (3, 0)), ((1, 0), (2, 0)), ((1, 0), (1, 1)), ((0, 1), (1, 1)), ((0, 1), (0, 2)), ((0, 2), (0, 3)), ((0, 3), (0, 4)), ((0, 4), (1, 4)), ((0, 0), (0, 1)), ((4, 0), (5, 0)), ((8, 3), (8, 4)), ((8, 2), (8, 3)), ((7, 2), (8, 2)), ((7, 1), (7, 2))])" "Maze(width=10, height=5, edges=[((6, 3), (7, 3)), ((6, 3), (6, 4)), ((6, 4), (7, 4)), ((7, 4), (8, 4)), ((8, 3), (8, 4)), ((8, 2), (8, 3)), ((7, 2), (8, 2)), ((7, 1), (7, 2)), ((7, 0), (7, 1)), ((7, 0), (8, 0)), ((8, 0), (8, 1)), ((8, 1), (9, 1)), ((9, 0), (9, 1)), ((9, 1), (9, 2)), ((9, 2), (9, 3)), ((9, 3), (9, 4)), ((6, 0), (7, 0)), ((5, 0), (6, 0)), ((5, 0), (5, 1)), ((5, 1), (6, 1)), ((6, 1), (6, 2)), ((5, 2), (6, 2)), ((4, 2), (5, 2)), ((3, 2), (4, 2)), ((3, 2), (3, 3)), ((2, 3), (3, 3)), ((2, 2), (2, 3)), ((2, 1), (2, 2)), ((2, 0), (2, 1)), ((1, 0), (2, 0)), ((0, 0), (1, 0)), ((0, 0), (0, 1)), ((0, 1), (1, 1)), ((1, 1), (1, 2)), ((0, 2), (1, 2)), ((0, 2), (0, 3)), ((0, 3), (1, 3)), ((1, 3), (1, 4)), ((0, 4), (1, 4)), ((1, 4), (2, 4)), ((2, 4), (3, 4)), ((3, 4), (4, 4)), ((4, 3), (4, 4)), ((4, 3), (5, 3)), ((5, 3), (5, 4)), ((2, 0), (3, 0)), ((3, 0), (4, 0)), ((4, 0), (4, 1)), ((3, 1), (4, 1))])"
] ]
}, },
"execution_count": 3, "execution_count": 3,
@ -194,15 +194,15 @@
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"o o--o--o--o--o--o--o--o--o--o\n", "o o--o--o--o--o--o--o--o--o--o\n",
"| | | |\n", "| | | |\n",
"o o o--o o--o--o o o--o o\n", "o--o--o--o o--o o o o--o o\n",
"| | | | | | |\n", "| | | | |\n",
"o o--o o--o o o--o--o o o\n", "o o o--o--o o--o--o--o--o o\n",
"| | | | | |\n", "| | | | | | |\n",
"o o--o o--o o o--o--o--o o\n", "o o--o o o--o o o--o o--o\n",
"| | | | | | |\n", "| | | | | | |\n",
"o o o--o o--o o o--o o--o\n", "o o o--o--o--o--o o o--o o\n",
"| | | | |\n", "| | |\n",
"o--o--o--o--o--o--o--o--o--o o\n" "o--o--o--o--o--o--o--o--o--o o\n"
] ]
} }
@ -250,7 +250,6 @@
" \"Plot a maze by drawing lines between adjacent squares, except for pairs in maze.edges\"\n", " \"Plot a maze by drawing lines between adjacent squares, except for pairs in maze.edges\"\n",
" plt.figure(figsize=(8, 4))\n", " plt.figure(figsize=(8, 4))\n",
" plt.axis('off')\n", " plt.axis('off')\n",
" plt.axes().set_aspect('equal', 'datalim')\n",
" plt.gca().invert_yaxis()\n", " plt.gca().invert_yaxis()\n",
" w, h = maze.width, maze.height\n", " w, h = maze.width, maze.height\n",
" exits = {Edge((0, 0), (0, -1)), Edge((w-1, h-1), (w-1, h))}\n", " exits = {Edge((0, 0), (0, -1)), Edge((w-1, h-1), (w-1, h))}\n",
@ -289,9 +288,9 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAd0AAAD8CAYAAAAyun5JAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nASAiugAQEV0AiIguAEREFwAiPwEaFX4D8XiUAwAAAABJRU5ErkJggg==\n", "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd0AAAD8CAYAAAAyun5JAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQER0ASDyFyUScgM3r2rXAAAAAElFTkSuQmCC\n",
"text/plain": [ "text/plain": [
"<matplotlib.figure.Figure at 0x10252dda0>" "<matplotlib.figure.Figure at 0x10dd4dd68>"
] ]
}, },
"metadata": {}, "metadata": {},
@ -302,15 +301,15 @@
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"o o--o--o--o--o--o--o--o--o--o\n", "o o--o--o--o--o--o--o--o--o--o\n",
"| | | | |\n", "| | |\n",
"o o--o o o o o o--o--o o\n", "o o--o o--o o o--o--o--o o\n",
"| | | | | |\n", "| | | | | | | |\n",
"o--o o--o--o o--o--o o--o o\n", "o o o--o o o o--o o--o o\n",
"| | | | | | | |\n", "| | | | | | | |\n",
"o o o o o o o o--o o o\n", "o o o o--o--o o o--o o--o\n",
"| | | | | | | | |\n", "| | | | | | |\n",
"o o--o o--o--o o o o o--o\n", "o--o o--o--o o o o--o--o o\n",
"| | | |\n", "| | |\n",
"o--o--o--o--o--o--o--o--o--o o\n" "o--o--o--o--o--o--o--o--o--o o\n"
] ]
} }
@ -342,9 +341,9 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAD8CAYAAABaSfxxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEOI/KTjgmW23yvYAAAAASUVORK5CYII=\n", "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAD8CAYAAABaSfxxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAEIIbQAIIbQBIMR/rtNmnUTdzqUAAAAASUVORK5CYII=\n",
"text/plain": [ "text/plain": [
"<matplotlib.figure.Figure at 0x107f12c50>" "<matplotlib.figure.Figure at 0x1176e5e80>"
] ]
}, },
"metadata": {}, "metadata": {},
@ -373,9 +372,9 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAD8CAYAAABaSfxxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbQAI8R8QCUbq2O5sJQAAAABJRU5ErkJggg==\n", "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAD8CAYAAABaSfxxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [ "text/plain": [
"<matplotlib.figure.Figure at 0x10bf13048>" "<matplotlib.figure.Figure at 0x1176fcf60>"
] ]
}, },
"metadata": {}, "metadata": {},
@ -404,9 +403,9 @@
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAD8CAYAAABaSfxxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGwBCCG0ACPEfA+iaR4R5UDIAAAAASUVORK5CYII=\n", "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe0AAAD8CAYAAABaSfxxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxnjoO1WPSQgAAAAASUVORK5CYII=\n",
"text/plain": [ "text/plain": [
"<matplotlib.figure.Figure at 0x10da3d748>" "<matplotlib.figure.Figure at 0x117710550>"
] ]
}, },
"metadata": {}, "metadata": {},