gorlum0

#!/usr/bin/env python
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
from numpy import newaxis, r_, c_, mat, e
from numpy.linalg import *

def plotData(X, y):
    pos = (y.ravel() == 1).nonzero()

gorlum0

#!/usr/bin/env python
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
from numpy import newaxis, r_, c_, mat, e
from numpy.linalg import *

def plotData(X, y):
    #pos = (y.ravel() == 1).nonzero()

rednaxelafx

import java.io.*;
import java.util.*;
import sun.jvm.hotspot.memory.*;
import sun.jvm.hotspot.oops.*;
import sun.jvm.hotspot.debugger.*;
import sun.jvm.hotspot.runtime.*;
import sun.jvm.hotspot.tools.*;
import sun.jvm.hotspot.utilities.*;

public class DirectMemorySize extends Tool {

yosemitebandit

server {
	listen 80;
	server_name www.yupyupnope.com;
	rewrite ^/(.*) https://yupyupnope.com/$1 permanent;
}

server {
	listen 80;
	server_name yupyupnope.com;
	rewrite ^/(.*) https://yupyupnope.com/$1 permanent;

jmoiron

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""Simple async crawler/callback queue based on gevent."""

import traceback
import logging
import httplib2

import gevent

esperlu

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite