amitripshtos

from __future__ import unicode_literals

import logging
from operator import methodcaller
import asyncio

from elasticsearch.exceptions import TransportError
from elasticsearch.helpers import BulkIndexError, expand_action, _chunk_actions
from elasticsearch.compat import map

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

Juul

#!/bin/sh

if [ "$#" -ne 1 ]; then
  echo "Example: ${0} [email protected]"
  exit 1
fi

cat ~/.ssh/id_rsa.pub | ssh ${1} "cat >> /etc/dropbear/authorized_keys && chmod 0600 /etc/dropbear/authorized_keys && chmod 0700 /etc/dropbear"

Zulko

"""
Model of a Zombie outbreak in France, starting in Grenoble

This is a rewrite from this blog post by Max Berrgren:

http://maxberggren.github.io/2014/11/27/model-of-a-zombie-outbreak/

with a different country, a slightly different model, and different
libraries. The map of population density is taken from Wikimedia Commons

Zulko

"""
Turn a piano MIDI file into a basic 3D animated piano video.
See the result here:


I am leaving it as a script because it is not tested on enough MIDI files yet.

Zulko 2014
This script is released under a Public Domain (Creative Commons 0) licence.

atx

#! /usr/bin/python3

import struct
import sys

def to_int(l, signed=False):
    ret = 0
    for x in l[1:] if signed else l:
        ret = (ret << 1) | x
    if signed and l[0]:

samukasmk

#!/bin/bash
#
# script: deploy_kivy_app_with_kivy_launcher.sh
#
# by: Samuel Maciel Sampaio [20140717]
#
# contact: [email protected]
#
# goal:
#   Develop kivy apps for android and quickly test directly in your

Zulko

#
# This Python script makes a summary of a football game by cutting
# the video around the 10 % loudest moments, which generally 
# include the goals and other important events.
# For more details, see this blog post:
# http://zulko.github.io/blog/2014/07/04/automatic-soccer-highlights-compilations-with-python/
#
# LICENCE: Creative Commons 0 - Public Domain
# I, the author of this script, wave any rights and place this work in the public domain.
#

fafhrd91

import io
from webob.request import Request


class Application:

    def __init__(self, app):
        self._app = app

    def __call__(self, environ, start_response):

madjar

import asyncio
import aiohttp
import bs4
import tqdm


@asyncio.coroutine
def get(*args, **kwargs):
    response = yield from aiohttp.request('GET', *args, **kwargs)
    return (yield from response.read_and_close(decode=True))