phaustin

import trio

WORKER_COUNT = 10

async def worker(receive_chan):
    # Trick: each url gets its own clone of the send channel
    # After processing a URL, we close its clone
    # That way, when all the URLs are done, all the send clones will be
    # closed, so the 'async for ... in receive_chan' will automatically exit.
    async for send_chan, url in receive_chan:

phaustin

- name: Install Conda
  block:
    - name: Download Miniconda
      get_url:
        url: https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
        dest: /tmp/install-miniconda.sh
        checksum: md5:a946ea1d0c4a642ddf0c3a26a18bb16d
        mode: 0550
    - name: Create conda folder

phaustin

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

phaustin

from contextlib import asynccontextmanager
from string import ascii_letters
from typing import Dict

import attr
from trio import (
    BrokenResourceError,
    ClosedResourceError,
    Lock,
    MemoryReceiveChannel,

phaustin

#!/bin/sh
#
# To enable this hook place this file in .git/hooks and make it executable.

if [ -a .commit ]
    then
    rm .commit
    git commit --amend -C HEAD --no-verify
fi
exit

phaustin

cmake_minimum_required(VERSION 3.8)
project(example)

add_subdirectory(pybind11)

add_library(shared_counter SharedCounter.cpp)
target_compile_features(shared_counter PUBLIC cxx_std_11)

pybind11_add_module(foo foo.cpp)
target_link_libraries(foo PRIVATE shared_counter)

phaustin

import re, sys, time
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from PyQt4.QtWebKit import *
from bs4 import BeautifulSoup



class Render(QWebPage):
    def __init__(self, url):

phaustin

import sys
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from PyQt4.QtWebKit import *
from bs4 import BeautifulSoup

qInstallMsgHandler(lambda *args: None)


class Render(QWebPage):

phaustin

phaustin

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy