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0x831A122F5DED0F74 | |
0xF1E6F872274DB4B4 | |
0x8940578CC91025A7 | |
0x5DFE2CABD588AB8A | |
0xF17DA5DF5A7438AB | |
0x8F97D17115314C0D | |
0xAFCF937513811F3B | |
0xDE69E942303BA44D | |
0x64D37E0B37C3B362 | |
0x09171FE07590059D |
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Eigenvalues OK for matrix of size 559? (Remove head) True | |
Eigenvalues OK for matrix of size 559? (Remove tail) True | |
Eigenvalues OK for matrix of size 560? False | |
Numpy configuration | |
version: 1.10.2 | |
lapack_opt_info: | |
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate'] | |
extra_compile_args = ['-msse3'] | |
define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)] |
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5.659961250000000000e+05 3.724742578125000000e+04 3.637817968750000000e+04 4.413761718750000000e+04 3.397246093750000000e+04 3.453220703125000000e+04 1.498615332031250000e+04 3.384765625000000000e+04 3.595958593750000000e+04 3.050485351562500000e+04 3.297774609375000000e+04 3.719416406250000000e+04 4.236740625000000000e+04 3.620104296875000000e+04 2.128593554687500000e+04 3.408514843750000000e+04 3.712941796875000000e+04 4.125301953125000000e+04 3.623164453125000000e+04 3.005377929687500000e+04 3.264214843750000000e+04 2.887791796875000000e+04 4.038496875000000000e+04 2.608633789062500000e+04 3.608921484375000000e+04 3.599268750000000000e+04 3.745137500000000000e+04 2.524565234375000000e+04 1.657358789062500000e+04 3.332289843750000000e+04 2.248200781250000000e+04 2.927972460937500000e+04 3.407544531250000000e+04 3.738280468750000000e+04 3.035079882812500000e+04 1.650042578125000000e+04 4.307830859375000000e+04 4.003902734375000000e+04 2.278440820312500000e+04 2.907345117187500000e+04 3.380399609375000000e+04 |
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.globl _msd_axis_major | |
.align 4, 0x90 | |
_msd_axis_major: ## @msd_axis_major | |
.cfi_startproc | |
## BB#0: | |
pushq %rbp | |
Ltmp43: | |
.cfi_def_cfa_offset 16 | |
Ltmp44: | |
.cfi_offset %rbp, -16 |
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import tables | |
import numpy as np | |
h5 = tables.openFile('test.h5', 'w') | |
table = h5.createTable( | |
h5.root, 'table', | |
description=np.dtype([('col', 'S16')])) | |
table.append([('S_%05d' % i,) for i in xrange(10)]) |
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import kivy | |
kivy.require('1.6.0') | |
from kivy.app import App | |
from kivy.uix.filechooser import FileChooserIconView | |
class DemoApp(App): | |
def build(self): | |
return FileChooserIconView() |
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#!/usr/bin/python | |
import sys | |
''' | |
Created on Apr 17, 2013 | |
@author: ntilmans | |
revised by @ihaque | |
''' |
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import logging | |
import multiprocessing | |
multiprocessing.log_to_stderr().setLevel(logging.DEBUG) | |
import kivy | |
from kivy.app import App | |
from kivy.uix.button import Button |
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import kivy | |
kivy.require('1.6.0') # replace with your current kivy version ! | |
from kivy.app import App | |
from kivy.uix.label import Label | |
class MyApp(App): | |
def build(self): | |
return Label(text='Hello World', markup=True) |
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all: master.pdf | |
clean: | |
rm -f *.pdf *.log *.aux *.blg *.bbl *.lof *.lot *.out *.toc | |
rm -f *_lores.tex | |
rm -f images/*/downsampled/* | |
master.pdf: master.tex PAPER_lores.tex SIML.tex GPUCG_lores.tex SCISSORS_lores.tex \ | |
kernelnoise_lores.tex kernelnoise_chapter.tex nips_abstract.tex nips_appendices.tex\ | |
bibliography.bib introduction.tex master-macros.sty conclusion.tex \ | |
bounds.tex realtime_lores.tex acknowledgement.tex abstract.tex |
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