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Jonas Brunsgaard brunsgaard

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Process-5 downloaded http://surftown.dk/node/255/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/node/
#!/usr/bin/env php
<?php
require_once 'intro.php';
$x = new GSB_Updater($storage, $network, $logger);
// get new chunks
$x->downloadData($gsblists, FALSE);
from flask import Flask
app = Flask(__name__)
print("I am running before first req")
@app.route("/")
def hello():
return "Hello World!"
if __name__ == "__main__":

Using Yeoman and Jade

Getting started

  • Make sure you have yo installed: npm install -g yo
  • Run: yo webapp
  • Install grunt-contrib-jade: npm install grunt-contrib-jade --save-dev

Customization

Static analysis is the process of automatically analysing the behavior of a
computer program based on the source code of the program. The main goals of
static analysis is to improve correctness and efficiency of the program. Static
analysis is part of every modern compiler today and the techniques in static
analysis continues to expand and improve.
In this project we aim to improve the static analysis performed by the L0
compiler and thereby improving correctness and efficiency of programs written
in L0.
import timeit
def test(setup, build, serialize, deserialize, number, entries, name):
build = build.format(n=entries)
build_times = timeit.repeat(repeat=1, number=number, stmt=build, setup=setup)
print('{:<20} {:>5} ms'.format('build datastructure:', int(min(build_times) * 1000)))
setup = setup + build
serialize_times = timeit.repeat(repeat=1, number=number, stmt=serialize, setup=setup)
print('{:<20} {:>5} ms'.format('serialize:', int(min(serialize_times) * 1000)))
setup = setup + serialize
import timeit
def test(setup, build, serialize, deserialize, number, entries, name):
print('Testing {}: '.format(name))
build = build.format(n=entries)
build_times = timeit.repeat(repeat=1, number=number, stmt=build, setup=setup)
print('{:<20} {:>6} ms'.format('build datastructure:', int(min(build_times) * 1000)))
setup = setup + build
serialize_times = timeit.repeat(repeat=1, number=number, stmt=serialize, setup=setup)
print('{:<20} {:>6} ms'.format('serialize:', int(min(serialize_times) * 1000)))
```python
import threading
import boto3
import flask
local = threading.local()
```python
import threading
import boto3
import flask
local = threading.local()