technige

#!/usr/bin/env bash

MENU=$1
OPTION=$2

MENU_PATH=${HOME}/.alt/${MENU}
cd ${MENU_PATH}

if [ ! -z "$OPTION" ]
then

technige

from argparse import ArgumentParser
from io import BytesIO

from PIL.Image import open as open_image


def image_to_ansi(data, scale=1):
    # TODO: optimise this algorithm - it's pretty brute-force right now
    image = open_image(BytesIO(data))
    width, height = image.size

technige

How to run Elasticsearch and Kibana in local Docker containers

This document contains step-by-step notes for how to run Elasticsearch and Kibana in local Docker containers.

This assumes three terminal windows are available: A (control), B (Elasticsearch) and C (Kibana). Note also that the stack version included here may be varied, although it should remain identical across both components.

1. Create a Docker network

In terminal A, run:

technige

// JS version of Python partition function
function partition(s, delimiter) {
    const i = s.indexOf(delimiter);
    if (i >= 0) return [s.substring(0, i), s[i], s.substring(i + 1)];
    else return [s, "", ""];
}

// JS version of Python rpartition function
function rpartition(s, delimiter) {
    const i = s.lastIndexOf(delimiter);

technige

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

# Copyright 2012-2015, Nigel Small
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0

technige

package tech.nige.demo;

import javax.net.ssl.SSLContext;
import javax.net.ssl.SSLSocket;
import java.io.IOException;
import java.net.InetSocketAddress;
import java.security.NoSuchAlgorithmException;
import java.security.cert.Certificate;

public class SocketDemo {

technige

from dataclasses import dataclass, fields


def neodataclass(_cls=None, *, init=True, repr=True, eq=True, order=False,
                 unsafe_hash=False, frozen=False):
    """ Provides a wrapper around dataclass that silently filters out
    any keyword arguments provided to __init__ that do not exist as
    fields for that class.
    """

technige

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

# Copyright 2017, Nigel Small
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0

technige

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


from __future__ import print_function

import random
from time import time

from py2neo import Graph, GraphError

technige

def deprecated(message):
    """ Decorator for deprecating functions and methods.

    ::

        @deprecated("'foo' has been deprecated in favour of 'bar'")
        def foo(x):
            pass

    """