understar

# -*- coding: utf-8 -*-
"""
Created on Wed Jan 08 18:02:10 2014

@author: understar
"""
from __future__ import division
from collections import Counter
import sys
from random import randint

understar

# -*- coding: utf-8 -*-
from numpy import mean,cov,double,cumsum,dot,linalg,array,rank
from pylab import plot,subplot,axis,stem,show,figure

def princomp(A):
 """ performs principal components analysis 
     (PCA) on the n-by-p data matrix A
     Rows of A correspond to observations, columns to variables. 

 Returns :  

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"""
==========
Kernel PCA
==========

This example shows that Kernel PCA is able to find a projection of the data
that makes data linearly separable.
"""
print(__doc__)

understar

#include <sys/stat.h>
#include <sys/mman.h>
#include <fcntl.h>
#include <unistd.h>
#include <stdlib.h>
#include <stdio.h>

struct xyz
{
	float x, y, z;

understar

using System;
using System.Net;
using System.IO;
using Gdk;

namespace TileSticher
{
	class App
	{
		public static int Main (string[] args)

understar

#include <io.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
#include <stdlib.h>
#include <stdio.h>
#include <windows.h>
#include <Share.h>
#include <math.h>

understar

# -*- coding: utf-8 -*-
"""
Created on Wed Jul 23 10:41:47 2014

@author: shuaiyi
"""
import logging
from landez import TilesManager

down = False

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import gdal,  osr
import numpy as np

levelsdetail = {18:(262144, 131072, 256),
                17:(131072, 65536, 256)
               }

def lat_lon2index(lat, lon, level): # top left corner
    width = levelsdetail[level][0]
    height = levelsdetail[level][1]

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"""
Demonstrates playing the generated samples directly using PyAudio
Tested on PyAudio 0.2.7 http://people.csail.mit.edu/hubert/pyaudio/
"""

from __future__ import division
from pysstv.sstv import SSTV
from time import sleep
from itertools import islice
import struct, pyaudio

understar

Basic example of taking an output from our server and putting it on a map. As leaflet allows you to add geoJSON directly, we convert it from esri's JSON format to a more standard one.