walkingpendulum

from enum import Enum

from pydantic import BaseModel, Field
from typing import Union 

# Artur:
{
    "boundary": "geojson",
    "changedBy": "string",
    "integrationId": "string"

walkingpendulum

haystack = [1, 2, 3, 2, 1, 2, 3, 4, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6]
needle = [2, 1, 2]


def cut_substr_once(substr, string):
  substr_size = len(substr)
  for ind, _ in enumerate(string):
    if substr == string[ind: ind + substr_size]:
      return string[:ind], string[ind + substr_size:]

walkingpendulum

{
    "type": "FeatureCollection",
    "metadata": {
        "name": "rent 2021",
        "creator": "Yandex Map Constructor"
    },
    "features": [
        {
            "type": "Feature",
            "geometry": {

walkingpendulum

import os
import pathlib

from selenium import webdriver
from selenium.webdriver.chrome.options import Options as ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.remote.webdriver import WebDriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait

walkingpendulum

V 2
[1. FACTORY DEMOLISHING SCENE]
As you might know, the Alpha team started 
Demolishing the Workflow Worker Factory
The most significant part of the tiling department
has already been destroyed.

[2. TV SCENE]
Sounds scary, but the factory now consumes N times less energy and significantly decreased the amount of exhaust fumes.

walkingpendulum

# diff -y <(gdalinfo alpha-48-manual-buffalo-preprocessed-data-2019-11-01-dem.scan.tms.float.assumed-2276-assumed.tif) <(gdalinfo alpha-48-manual-buffalo-preprocessed-data-2019-11-01-dem.scan.tms.float.assumed.tif)
Driver: GTiff/GeoTIFF						Driver: GTiff/GeoTIFF
Files: alpha-48-manual-buffalo-preprocessed-data-2019-11-01-d |	Files: alpha-48-manual-buffalo-preprocessed-data-2019-11-01-d
Size is 3355, 3692						Size is 3355, 3692
Coordinate System is:						Coordinate System is:
PROJCS["NAD83 / Texas North Central (ftUS)",		      |	LOCAL_CS["unnamed",
    GEOGCS["NAD83",					      |	    UNIT["foot",0.3048,
        DATUM["North_American_Datum_1983",		      |	        AUTHORITY["EPSG","9002"]]]
            SPHEROID["GRS 1980",6378137,298.257222101,	      |	Origin = (2499916.634541186038405,7183205.565398516133428)
                AUTHORITY["EPSG","7019"]],		      |	Pixel Size = (0.300000011920929,-0.300000011920929)

walkingpendulum

# coding: utf-8
import cmath
import unittest
from itertools import chain


def eq_to_zero(x, eps=1e-7):
    return abs(x) < eps

walkingpendulum

"""
$ dd if=/dev/urandom of=sample.txt bs=16M count=1
$ python test.py
shared:
process 44666, memory 1M
process 44667, memory 1M
process 44668, memory 1M
total: 9M

separate:

walkingpendulum

class Tuple(tuple):
    def __setitem__(self, key, value):
        print('tuple setitem', key, value)
        super().__setitem__(key, value)

    def __getitem__(self, item):
        print('tuple getitem', item)
        return super().__getitem__(item)

walkingpendulum

import time
from itertools import zip_longest

import random
from multiprocessing import Process


def f(inflow_cache):
    time.sleep(random.randint(2, 5))
    inflow_cache = list(filter(lambda t: t is not None, inflow_cache))