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git config --global http.proxy 'socks5://127.0.0.1:1080'

git config --global https.proxy 'socks5://127.0.0.1:1080'

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#import section
from matplotlib import pylab
import pylab as plt
import numpy as np

#sigmoid = lambda x: 1 / (1 + np.exp(-x))
def sigmoid(x):
    return (1 / (1 + np.exp(-x)))

mySamples = []

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import tensorflow as tf
from tensorflow.keras.layers import Layer

class ROIPoolingLayer(Layer):
    """ Implements Region Of Interest Max Pooling 
        for channel-first images and relative bounding box coordinates
        
        # Constructor parameters
            pooled_height, pooled_width (int) -- 
              specify height and width of layer outputs

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NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

---

Q: How can I make a chain of function decorators in Python?

---

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

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exports.stripComments = function stripComments(toBeStrippedStr){
//LEXER
  function Lexer () {
    this.setIndex = false;
    this.useNew = false;
    for (var i = 0; i < arguments.length; ++i) {
      var arg = arguments [i];
      if (arg === Lexer.USE_NEW) {
        this.useNew = true;
      }

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    tmux is a "terminal multiplexer", it enables a number of terminals to be accessed and controlled from a single terminal.
    
  If you use Debian/Ubuntu, you can just run apt-get install tmux, and voila. 
  
  Since the title was about centos 7, then do the following step to install tmux.
  
  (1). tmux has a library dependency on libevent which, of course, isn’t installed by default. 
    $ wget https://github.com/downloads/libevent/libevent/libevent-2.0.21-stable.tar.gz
    $ tar xzvf libevent-2.0.21-stable.tar.gz
    $ cd libevent-2.0.21-stable

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The script run-and-stop-gunicorn.sh takes 1 second on both Python 2.7 and 3.4.

$ cat /etc/lsb-release 
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=14.04
DISTRIB_CODENAME=trusty
DISTRIB_DESCRIPTION="Ubuntu 14.04.2 LTS"
$ 
$ 
$ source 27-env/bin/activate

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Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

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#!/usr/bin/env python
#
# Simple script showing how to read a mitmproxy dump file
#

### UPD: this feature is now avaiable in mitmproxy: https://github.com/mitmproxy/mitmproxy/pull/619

from libmproxy import flow
import json, sys

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#!/usr/bin/env python

import binascii, sys, json
import version, tnetstring, flow
from datetime import datetime


def create_har(flows):
    return {
        "log":{