Created
December 2, 2013 03:12
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ocp testing nb
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{ | |
"metadata": { | |
"name": "ocp-test" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "import numpy as np\nimport urllib2\nimport zlib\nimport StringIO", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 6 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "origin = (4000, 4000, 100)\nsize = (256, 256, 256)\n\n## Non-working example\n\ntry:\n f = urllib2.urlopen ( \"http://openconnecto.me/emca/kasthuri11/npz/1/%d,%d/%d,%d/%d,%d/\" % (origin[0], origin[0] + size[0], origin[1], origin[1]+size[1], origin[2], origin[2] + origin[2]))\nexcept urllib2.URLError:\n assert 0\n\nzdata = f.read ()\ndatastr = zlib.decompress ( zdata[:] )\ndatafobj = StringIO.StringIO ( datastr )\ncube = np.load ( datafobj )\nprint cube.shape\nprint cube.dtype\ncube.tofile(open('test-ocp.raw','w'))", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"ename": "AssertionError", | |
"evalue": "", | |
"output_type": "pyerr", | |
"traceback": [ | |
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", | |
"\u001b[0;32m<ipython-input-8-b70c4806e609>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0murllib2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murlopen\u001b[0m \u001b[0;34m(\u001b[0m \u001b[0;34m\"http://openconnecto.me/emca/kasthuri11/npz/1/%d,%d/%d,%d/%d,%d/\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0murllib2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mURLError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0mzdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | |
"\u001b[0;31mAssertionError\u001b[0m: " | |
] | |
} | |
], | |
"prompt_number": 8 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": "origin = (1000, 1000, 100)\nsize = (256, 256, 256)\n\ntry:\n f = urllib2.urlopen ( \"http://braingraph1dev.cs.jhu.edu/emca/kasthuri11/npz/1/%d,%d/%d,%d/%d,%d/\" % (origin[0], origin[0] + size[0], origin[1], origin[1]+size[1], origin[2], origin[2] + size[2]))\nexcept URLError:\n assert 0\n\nzdata = f.read ()\n\ndatastr = zlib.decompress ( zdata[:] )\ndatafobj = StringIO.StringIO ( datastr )\ncube = np.load ( datafobj )\nprint cube.shape\nprint cube.dtype\ncube.tofile(open('test-ocp.raw','w'))", | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": "(100, 256, 256)\nuint8\n" | |
} | |
], | |
"prompt_number": 9 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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