sc268

input = """0:07 Komm, ihr Töchter (Chor)
8:02 De Jesu diese Rede (Rezitativ)
8:46 Herzlieber Jesu (Choral)
9:38 Da Versammleten (Rezitativ)
10:02 Ja nicht auf das Fest (Chor)
10:17 Da nun Jesus war zu Bethanien (Rezitativ)
10:49 Wozu dienet dieser Unrat? (Chor)
11:16 Da das Jesus merkete (Rezitativ)
12:50 Du liebert Heiland du (Arioso)
13:46 Buss un Reu (Arie)

sc268

nruns = 10000

FPR <- function(population, allowedFailedRatio){
    allowFails = population * allowedFailedRatio
    count = match = 0
    while (count < nruns) {
    x <- rnorm(population, 0, 1)
    if (sum(x > 2 | x < -2) <= allowFails){
      match = match + 1
    }

sc268

struct AMG_ANGLES {
    float yaw;
    float pitch;
    float roll;
};

int main() {
    AMG_ANGLES struct_data;

    struct_data.yaw = 87.96;

sc268

{
    "window.zoomLevel": 0,
    // start bash, not the mintty, or you'll get a new window
    "terminal.integrated.shell.windows": "C:\\cygwin64\\bin\\bash.exe",
    // Use this to keep bash from doing a 'cd ${HOME}'
    "terminal.integrated.env.windows": {
        "CHERE_INVOKING": "1"
    },
    // Make it a login shell
    "terminal.integrated.shellArgs.windows": [

sc268

def getModelName(model_path):
    fn = args.model.split('/')[-1]
    return fn.replace('.tar', '')
def createFolderIfnotExist(dir):
    if not os.path.exists(dir):
        os.mkdir(dir)
def saveList(fn, alist):
    with open(fn, 'w') as f:
        for c in alist:
            f.write("%s\n" % c)

sc268

def initPartialSum(A):
    nrow, ncol = len(A), 0 if not matrix else len(A[0])
    #S[i][j] = sum(m, n) for 0 <= m <= i, 0 <= n <= j
    S = [[0] * ncol for _ in range(nrow)] 
    for i in range(nrow):
        partialSum = 0
        for j in range(ncol):
            partialSum += A[i][j]
            S[i][j] = partialSum
            if i > 0: S[i][j] += S[i-1][j]

sc268

##############################################################
# V2 = use bounding box information to weight words in OCR
## add imagehash to dedup
##############################################
## common functions 
##############################################
import logging, os, re
import pandas as pd
import collections, struct, pickle, json, re
from ast import literal_eval

sc268

<?xml version='1.0' encoding='UTF-8' standalone='yes' ?>
<hierarchy rotation="0">
	<node index="0" text="" resource-id="" class="android.widget.FrameLayout" package="com.pinterest" content-desc="" checkable="false" checked="false" clickable="false" enabled="true" focusable="false" focused="false" scrollable="false" long-clickable="false" password="false" selected="false" bounds="[0,0][1200,1823]">
		<node index="0" text="" resource-id="" class="android.widget.LinearLayout" package="com.pinterest" content-desc="" checkable="false" checked="false" clickable="false" enabled="true" focusable="false" focused="false" scrollable="false" long-clickable="false" password="false" selected="false" bounds="[0,0][1200,1823]">
			<node index="0" text="" resource-id="" class="android.widget.FrameLayout" package="com.pinterest" content-desc="" checkable="false" checked="false" clickable="false" enabled="true" focusable="false" focused="false" scrollable="false" long-clickable="false" password="false" selected="false" bounds="

sc268

# run foo.py with different date input in parallel
# input: sys.argv[1]: starting date ; sys.argv[2]): num of days 

import sys
import os
from multiprocessing import Process
import pandas as pd 

children = []

sc268

m0 =5
m1 =18
alpha = 0.05
tau = 1.0
m_arr = sort(list(set(map(lambda x: int(round(x)), np.linspace(m0, m1, 10)))))
print m_arr

for m in m_arr:
    kmax = int(round(m/3.))
    prior_levels = [1./(m+1)]*(m+1)