monkut

VALID_PYTHON_EXTENSIONS = ('.py', )


def get_userdefined_class(directory: str, target_baseclass: object) -> list:
    """
    Load Classes that sub-classed the given 'target_baseclass' for modules in the given directory
    :param directory: directory containing user-defined classes subclassing 'target_baseclass'
    :param target_baseclass: the ABC class that the user class subclasses
    :return: (class) [UserDefinedClass, ...]
    """

monkut

def _get_package_defined_classes(package, target_baseclass) -> dict:
    """
    Voodoo function to discover classes in given 'package' that subclass the given 'target_baseclass'
    :param package: Python Package Object
    :param target_baseclass: Python Class Object
    :return:
        {
            CLASS_NAME: CLASS_OBJECT,
            ...
        }

monkut

"""
This is a script to compare the content of two directories.
It was used to determine how complete a series of cp commands were done after the cp process was already started
"""
import os

def directory_size(path):
    total = 0
    for entry in os.scandir(path):
        if entry.is_file():

monkut

query {
   organization(login:"your-org-name"){
    name
    	projects(first:25, states:OPEN) {
        nodes {
          name,
          columns(first:10){
      			nodes{
              name,
              cards (first:50){

monkut

"""
Creates a github organization project with columns from a defined template
using the  Github graphql API
"""
import os
import uuid

import requests

monkut

[MASTER]

# A comma-separated list of package or module names from where C extensions may
# be loaded. Extensions are loading into the active Python interpreter and may
# run arbitrary code
extension-pkg-whitelist=

# Add files or directories to the blacklist. They should be base names, not
# paths.
ignore=CVS

monkut

version: 2
jobs:
  build:
    working_directory: ~/baserepository/
    docker:
      - image: circleci/python:3.6.5
        environment:
          PIPENV_VENV_IN_PROJECT: true
      - image: mdillon/postgis:9.6
        environment:

monkut

[
  {
    "name": "category:documentation",
    "description": "",
    "color": "AED6F1"
  },
  {
    "name": "category:feature",
    "description": "",
    "color": "5DADE2"

monkut

import datetime
from pandas.tseries.holiday import AbstractHolidayCalendar, Holiday, sunday_to_monday, MO
from pandas.tseries.offsets import Day, CustomBusinessDay, DateOffset


class JapanBusinessCalendar(AbstractHolidayCalendar):
    rules = [
        Holiday('New Years Day', month=1, day=1),
        Holiday('Coming of Age Day', month=1, day=8),  # second monday of Jan
        Holiday('National Foundation Day', month=2, day=11, observance=sunday_to_monday),  # observed monday if falls on Sunday

monkut

import os
import csv
from multiprocessing import cpu_count, Pool


def process_csv(args):
    filepath, encoding = args
    unique_ids = set()
    with open(filepath, 'r', encoding=encoding) as in_f:
        reader = csv.reader(in_f)