-
Download and unpack tar-ball from MSR download site.
-
Run the
z3
executable inz3/bin
. Simple!
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alphabet = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' | |
class Rotor(): | |
perms = [] | |
turnover_position = '' | |
position = 'A' | |
def __init__(self, perms, turnover_position, ring_setting): | |
i = alphabet.index(ring_setting) | |
perms = perms[i:] + perms[:i] | |
self.perms = [c for c in perms] |
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1033edge.com | |
11mail.com | |
123.com | |
123box.net | |
123india.com | |
123mail.cl | |
123qwe.co.uk | |
150ml.com | |
15meg4free.com | |
163.com |
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$ sudo python tcp_http_spoof.py >&/dev/null & | |
[1] 3477 | |
$ curl -vL http://www.google.com/ | |
* Hostname was NOT found in DNS cache | |
* Trying 172.217.26.100... | |
* Connected to www.google.com (172.217.26.100) port 80 (#0) | |
> GET / HTTP/1.1 | |
> User-Agent: curl/7.35.0 | |
> Host: www.google.com |
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#!/usr/bin/perl | |
use Mysql; | |
use strict; | |
use vars qw($school_name); | |
use vars qw($pass); | |
require "./cgi-lib.pl"; |
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import requests | |
class Stock: | |
def __init__(self, exc, symb, name, link): | |
self.exchange = exc | |
self.symbol = symb | |
self.name = name | |
self.link = link |
- In machine learning, accuracy tends to increase with an increase in the number of training examples and number of model parameters.
- For large data, training becomes slow on even GPU (due to increase CPU-GPU data transfer).
- Solution: Distributed training and inference - DistBelief
- Link to paper
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/* | |
* Note: This template uses some c++11 functions , so you have to compile it with c++11 flag. | |
* Example:- $ g++ -std=c++11 c++Template.cpp | |
* | |
* Author : Akshay Pratap Singh | |
* Handle: code_crack_01 | |
* | |
*/ | |
/******** All Required Header Files ********/ |