nobbynobbs

SELECT
    relname AS "relation",
    C .reltuples::bigint AS approximate_rows,
    pg_size_pretty (
            pg_total_relation_size (C .oid)
        ) AS "data_size",
    pg_size_pretty (
        pg_indexes_size(C .oid)
    )  as "indexes_size",
    pg_size_pretty (

nobbynobbs

version: '2.4'
services:
  kafka:
    image: bitnami/kafka:3.1.0
    container_name: kafka
    command:
      - 'sh'
      - '-c'
      - '/opt/bitnami/scripts/kafka/setup.sh && kafka-storage.sh format --config "$${KAFKA_CONF_FILE}" --cluster-id "lkorDA4qT6W1K_dk0LHvtg" --ignore-formatted  && /opt/bitnami/scripts/kafka/run.sh' # Kraft specific initialise
    environment:

nobbynobbs

pipeline {
  agent { label "docker" }
  stages {
    stage("test sidecar") {
      steps{
        script {
          withDockerNetwork { n ->
            // we could use Image.withRun() instead of Image.run(),
            // and get rid of try/catch/finally blocks
            // It's prefferable way, but it doesn't remove volumes after containers

nobbynobbs

from typing import (
    Generic, Optional, TYPE_CHECKING,
    Type, TypeVar, Union, overload,
)

T = TypeVar("T", bound="A")  # noqa

class Descr(Generic[T]):

    @overload

nobbynobbs

import math
import signal
from concurrent.futures import ProcessPoolExecutor
from contextlib import suppress
from time import sleep

values = [40000000, 30000000, 20000000, 10000000]

PRIMES = [
    112272535095293,

nobbynobbs

from typing import Dict, Any, List

import abc

class Repository(abc.ABC):
  def __init__(self, model):
    self.model = model  # or connection pool
  
  def create_one(self, data: Dict[str, Any]):
    item = self.model.from_dict(data)

nobbynobbs

# -*- coding: utf-8 -*-

from __future__ import unicode_literals
from __future__ import print_function
from __future__ import absolute_import

import base64

import pytest
import pytest_twisted

nobbynobbs

# GDAL

sudo apt install gdal-bin libgdal-dev 
pip install GDAL==$(gdal-config --version) --global-option=build_ext --global-option="-I/usr/include/gdal"

# MAPNIK 

sudo apt install mapnik-utils libmapnik-dev libboost-all-dev 
mapnik-config -v  # check mapnik version
 

nobbynobbs

import pprint
from collections import namedtuple

# fields names mapping
fields = {
    "Название": "name",
    "Сорт": "sort",
    "Цена": "price",
    "Картинка": "image",
}

nobbynobbs

import logging

import requests


# init simpliest custom logger
logger = logging.getLogger("myAwesomeLogger")
logger.setLevel(logging.DEBUG)
logger.addHandler(logging.StreamHandler())