npinto

#!/bin/bash

watch -n 10 'curl https://data.mtgox.com/api/2/BTCUSD/money/ticker | tee data/ticker.$(date +"%Y-%m-%d_%R:%S.%N").json | python -mjson.tool; for f in data/*.json; do gzip $f; done;'

npinto

    UIImageOrientation imageOrientation;
    if (UserDefaults.usingFrontCamera) {
        switch (curDeviceOrientation) {
            case UIDeviceOrientationLandscapeLeft:
                imageOrientation = UIImageOrientationDown;
                break;
            case UIDeviceOrientationLandscapeRight:
                imageOrientation = UIImageOrientationUp;
                break;
            case UIDeviceOrientationPortraitUpsideDown:

npinto

	UIDeviceOrientation curDeviceOrientation = [[UIDevice currentDevice] orientation];
	
	enum {
		PHOTOS_EXIF_0ROW_TOP_0COL_LEFT			= 1, //   1  =  0th row is at the top, and 0th column is on the left (THE DEFAULT).
		PHOTOS_EXIF_0ROW_TOP_0COL_RIGHT			= 2, //   2  =  0th row is at the top, and 0th column is on the right.  
		PHOTOS_EXIF_0ROW_BOTTOM_0COL_RIGHT      = 3, //   3  =  0th row is at the bottom, and 0th column is on the right.  
		PHOTOS_EXIF_0ROW_BOTTOM_0COL_LEFT       = 4, //   4  =  0th row is at the bottom, and 0th column is on the left.  
		PHOTOS_EXIF_0ROW_LEFT_0COL_TOP          = 5, //   5  =  0th row is on the left, and 0th column is the top.  
		PHOTOS_EXIF_0ROW_RIGHT_0COL_TOP         = 6, //   6  =  0th row is on the right, and 0th column is the top.  
		PHOTOS_EXIF_0ROW_RIGHT_0COL_BOTTOM      = 7, //   7  =  0th row is on the right, and 0th column is the bottom.  

npinto

NSString* jsonPath = [[NSBundle mainBundle] pathForResource:@"arr_fb" ofType:@"json"];
NSData* jsonData = [NSData dataWithContentsOfFile:jsonPath];
JSONDecoder* decoder = [[JSONDecoder alloc] initWithParseOptions:JKParseOptionNone];
NSDictionary* json = [decoder objectWithData:jsonData];
NSArray* shape = [json objectForKey:@"shape"];
NSUInteger fbn_ = [[shape objectAtIndex:0] intValue];

npinto

import os
from os import path
__location__ = path.realpath(path.join(os.getcwd(), path.dirname(__file__)))

npinto

import time
import gc
import numpy as np


def theano_memory_hack(func_exp, local_vars, 
                       input_exps=('input',),
                       msize_best=None,
                       msize_start=1024, msize_factor=2,
                       verbose=False):

npinto

url = "http://www.youtube.com/watch?v=pkCTAeLsX7E"
import os
import sysfrom sys import stderr
import tempfile
import commandsfrom os import path

from sys import stdout
from subprocess import Popen, PIPE, STDOUT

npinto

import cv2
import cv2.cv as cv


def detect(img, cascade_fn='haarcascades/haarcascade_frontalface_alt.xml',
           scaleFactor=1.3, minNeighbors=4, minSize=(20, 20),
           flags=cv.CV_HAAR_SCALE_IMAGE):

    cascade = cv2.CascadeClassifier(cascade_fn)
    rects = cascade.detectMultiScale(img, scaleFactor=scaleFactor,

npinto

In [12]: l = ['a', 'a', 'c', 'c', 'c', 'b']

In [13]: u = np.unique(l)

In [14]: u
Out[14]: 
array(['a', 'b', 'c'], 
      dtype='|S1')

In [15]: np.searchsorted(u, l)

npinto

*.so
_demo.cpp
build