PetrGlad

#!/bin/bash

docker inspect $1 | jq -r ".[0].NetworkSettings.Networks.${2:-bridge}.IPAddress"

PetrGlad

 docker run --name=a-test-mysql --detach \
    -e MYSQL_USER='blaser' \
    -e MYSQL_PASSWORD='ok' \
    -e MYSQL_DATABASE='dratabasss' \
    mysql/mysql-server:5.7

PetrGlad

# Some docs imly source can be a directory, but it does not work actually.
# Below is a workaround
for p in a-source-folder/*
do
  # Note that uppercase JPG suffix is not recognized so adding "jpg" to output file name.
  darktable-cli --width 3000 --height 3000 --hq true $p $(dirname $p)-export/$(basename ${p%.JPG}.jpg); 
done

PetrGlad

use std::net::TcpListener;
use std::net::UdpSocket;
use std::net::TcpStream;
use std::net::Shutdown;
use std::thread;
use std::io::BufReader;
use std::io::Write;
use std::io::BufRead;

fn session(mut ios: TcpStream) -> Result<(), std::io::Error> {

PetrGlad

rom collections import defaultdict
from math import inf


def find_closest(dist, unvisited):
    # Select node with the least distance to source
    u = None
    min_du = inf
    for v in unvisited:
        if dist[v] < min_du:

PetrGlad

from collections import defaultdict
from math import inf


def find_closest(dist, unvisited):
    # Select node with the least distance to source
    u = None
    min_du = inf
    for v in unvisited:
        if dist[v] < min_du:

PetrGlad

import java.util.Random;
import java.util.TreeSet;

public class MainSr {

  public static void main(String[] args) {
    // Run this with assertions enabled
    assert 1 == countRanges(new int[]{1});
    assert 1 == countRanges(new int[]{2, 1});
    assert 1 == countRanges(new int[]{3, 2, 1});

PetrGlad

import dropbox
import dropbox.files


CHUNK_SIZE = 4 * 1024 * 1024


def upload_stream(dbx, readable, dest_path):
    d = readable.read(CHUNK_SIZE)
    offset = len(d)

PetrGlad

import boto3
import gzip

s3 = boto3.client('s3')

# get gz file content
content = gzip.decompress(
    s3.get_object(Bucket='a-bucket-id',
                  Key='a-key')['Body'].read())

PetrGlad

# SPARK_HOME=$HOME/opt/spark-2.2.1-bin-hadoop2.7 ptpython
# SPARK_HOME=$HOME/opt/spark-2.2.1-bin-hadoop2.7 pyspark

from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .appName('hello') \
    .master('local[3]') \
    .config("spark.ui.port", 9100) \
    .getOrCreate()