mfergie

# Run in ipython. Download the anaconda python distribution

import numpy as np
import matplotlib.pyplot as plt
%matplotlib

x = np.linspace(-1, 1, 100)

def f(x, a, b):
    y = np.zeros(x.shape)

mfergie

#!/usr/bin/env python

import PIL.Image
import numpy as np

# Create a floating point image.
fpimage = np.zeros((1000,1000), dtype=np.float32)
fpimage[200:400,200:400] = 1

import io

mfergie

get_cmake_property(_variableNames VARIABLES)
foreach (_variableName ${_variableNames})
    message(STATUS "${_variableName}=${${_variableName}}")
endforeach()

mfergie

import os
import subprocess
from multiprocessing import Pool


def convert(name):

    command = 'avconv -i "{}.wma" -acodec libvorbis -aq 100 -y "{}.ogg"'.format(
                name, name)

mfergie

function [ output_data, mixture] = generate_figexampledata( no_points )
%GENERATE_FIGEXAMPLEDATA Summary of this function goes here
%   Detailed explanation goes here

mixture = gmm(2, 4, 'full');

mixture.priors = [0.3, 0.3, 0.3, 0.1];

mixture.centres = [-4, -4;
                   -4, -4;

mfergie

-2.844059489096403048e+00 -3.390078096791193651e+00
-2.246556725692058443e+00 -4.134951453470232963e+00
-2.882040217945443406e+00 -2.989992710367860074e+00
-3.557989559969744420e+00 -4.874133498203447878e+00
-4.276468588458921083e+00 -4.949100415222556393e+00
-4.063084646541525125e+00 -4.965449471424126848e+00
-4.149768316170935556e+00 -4.304566658733071982e+00
-3.397283783389075218e+00 -2.450041447189784449e+00
-6.116576211048087686e+00 -4.566201068837830945e+00
-4.549464218962874895e+00 -4.120424270357679220e+00