ihaque

from bisect import bisect_left
from subprocess import Popen, PIPE
from time import sleep
import numpy as np

def get_temperature(gpu=0):
    lines = Popen(["aticonfig", "--adapter=%d" % gpu, "--od-gettemperature"],
                  stdout=PIPE).communicate()[0].split("\n")
    lines = [xx.strip() for xx in lines if len(xx.strip()) > 0]
    # Adapter 0 - AMD Radeon HD 6800 Series 

ihaque

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

ihaque

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)

ihaque

import logging
import multiprocessing

multiprocessing.log_to_stderr().setLevel(logging.DEBUG)

import kivy
from kivy.app import App
from kivy.uix.button import Button

ihaque

#!/usr/bin/python
import sys
'''
Created on Apr 17, 2013

@author: ntilmans
revised by @ihaque
'''

ihaque

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()

ihaque

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)])

ihaque

	.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

ihaque

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

ihaque

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)]