Store_scraper_2.0.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "f8646fa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://www.rossmann.pl/kategoria/twarz,8686?Page=1&PageSize=96'\n",
    "#url = 'https://www.rossmann.pl/kategoria/twarz/oczyszczanie-i-demakijaz/zele-i-pianki-do-twarzy,8690?CategoryId=8690&Page=1&PageSize=96'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "8f65a0de",
   "metadata": {},
   "outputs": [],
   "source": [
    "from time import sleep\n",
    "#from requests import options\n",
    "import selenium\n",
    "from selenium import webdriver\n",
    "import undetected_chromedriver as uc\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "from selenium.webdriver.common.by import By\n",
    "#from selenium.webdriver.chrome.options import Options\n",
    "import pandas as pd\n",
    "from fake_useragent import UserAgent\n",
    "import random\n",
    "from random import randint\n",
    "from selenium.webdriver.common.keys import Keys\n",
    "import secrets\n",
    "import string\n",
    "import time\n",
    "import re\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "import concurrent.futures\n",
    "import threading\n",
    "from webdriver_manager.chrome import ChromeDriverManager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2170,
   "id": "b060599e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WDM] - \n",
      "\n",
      "[WDM] - ====== WebDriver manager ======\n",
      "[WDM] - Current google-chrome version is 108.0.5359\n",
      "[WDM] - Get LATEST driver version for 108.0.5359\n",
      "[WDM] - Driver [C:\\Users\\QASIM KHAN\\.wdm\\drivers\\chromedriver\\win32\\108.0.5359.71\\chromedriver.exe] found in cache\n",
      "<ipython-input-2170-2713b2fb5be7>:1: DeprecationWarning: executable_path has been deprecated, please pass in a Service object\n",
      "  driver = webdriver.Chrome(ChromeDriverManager().install())\n",
      "[WDM] - \n",
      "\n",
      "[WDM] - ====== WebDriver manager ======\n",
      "[WDM] - Current google-chrome version is 108.0.5359\n",
      "[WDM] - Get LATEST driver version for 108.0.5359\n",
      "[WDM] - Driver [C:\\Users\\QASIM KHAN\\.wdm\\drivers\\chromedriver\\win32\\108.0.5359.71\\chromedriver.exe] found in cache\n",
      "<ipython-input-2170-2713b2fb5be7>:4: DeprecationWarning: executable_path has been deprecated, please pass in a Service object\n",
      "  driver2 = webdriver.Chrome(ChromeDriverManager().install())\n",
      "[WDM] - \n",
      "\n",
      "[WDM] - ====== WebDriver manager ======\n",
      "[WDM] - Current google-chrome version is 108.0.5359\n",
      "[WDM] - Get LATEST driver version for 108.0.5359\n",
      "[WDM] - Driver [C:\\Users\\QASIM KHAN\\.wdm\\drivers\\chromedriver\\win32\\108.0.5359.71\\chromedriver.exe] found in cache\n",
      "<ipython-input-2170-2713b2fb5be7>:7: DeprecationWarning: executable_path has been deprecated, please pass in a Service object\n",
      "  driver3 = webdriver.Chrome(ChromeDriverManager().install())\n",
      "[WDM] - \n",
      "\n",
      "[WDM] - ====== WebDriver manager ======\n",
      "[WDM] - Current google-chrome version is 108.0.5359\n",
      "[WDM] - Get LATEST driver version for 108.0.5359\n",
      "[WDM] - Driver [C:\\Users\\QASIM KHAN\\.wdm\\drivers\\chromedriver\\win32\\108.0.5359.71\\chromedriver.exe] found in cache\n",
      "<ipython-input-2170-2713b2fb5be7>:10: DeprecationWarning: executable_path has been deprecated, please pass in a Service object\n",
      "  driver4 = webdriver.Chrome(ChromeDriverManager().install())\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "get done\n"
     ]
    }
   ],
   "source": [
    "driver = webdriver.Chrome(ChromeDriverManager().install())\n",
    "driver.get(url)\n",
    "\n",
    "driver2 = webdriver.Chrome(ChromeDriverManager().install())\n",
    "driver2.get(url)\n",
    "\n",
    "driver3 = webdriver.Chrome(ChromeDriverManager().install())\n",
    "driver3.get(url)\n",
    "\n",
    "driver4 = webdriver.Chrome(ChromeDriverManager().install())\n",
    "driver4.get(url)\n",
    "\n",
    "print(\"get done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a4069b98",
   "metadata": {},
   "outputs": [],
   "source": [
    "Subcategories = []\n",
    "Subcategories2 = []\n",
    "Categ=[]\n",
    "Nm = []\n",
    "Bnm = []\n",
    "Typ = []\n",
    "Pr= []\n",
    "desc=[]\n",
    "code=[]\n",
    "Urls=[]\n",
    "Image_url=[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2020,
   "id": "1e544318",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-2020-4deacbb789f3>:16: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  subs = driver.find_elements_by_xpath(\"//div[@class='nav-cards']/a\")\n",
      "<ipython-input-2020-4deacbb789f3>:104: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  driver.find_element_by_class_name('form-control.sri-select__selected-item ').click()\n",
      "<ipython-input-2020-4deacbb789f3>:111: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  driver.find_elements_by_class_name('sri-select__item')[2].click()\n",
      "<ipython-input-2020-4deacbb789f3>:122: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  price = driver.find_elements_by_class_name('tile-product__price')\n",
      "<ipython-input-2020-4deacbb789f3>:126: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  img = driver.find_elements_by_xpath('//div[contains(@class,\"tile-product__img-holder\")]//img')\n",
      "<ipython-input-2020-4deacbb789f3>:131: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  Bname = driver.find_elements_by_class_name('tile-product__name')\n",
      "<ipython-input-2020-4deacbb789f3>:153: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  if(count == int(driver.find_element_by_class_name('pages__last').text) +1):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "73 73 73 73 73 73\n",
      "Subcategory2 of : 1 finished.\n",
      "87 87 87 87 87 87\n",
      "Subcategory2 of : 2 finished.\n",
      "112 112 112 112 112 112\n",
      "Subcategory2 of : 3 finished.\n",
      "137 137 137 137 137 137\n",
      "Subcategory2 of : 4 finished.\n"
     ]
    }
   ],
   "source": [
    "nm = []\n",
    "bnm = []\n",
    "typ = []\n",
    "pr= []\n",
    "desc=[]\n",
    "code=[]\n",
    "urls=[]\n",
    "image_url=[]\n",
    "categ=[]\n",
    "subcategories=[]\n",
    "subcategories2=[]\n",
    "\n",
    "driver.maximize_window()\n",
    "sub = []\n",
    "subname = []\n",
    "subs = driver.find_elements_by_xpath(\"//div[@class='nav-cards']/a\")\n",
    "for s in subs:\n",
    "    src = s.get_attribute('href')\n",
    "    sub.append(src)\n",
    "    subname.append(s.text)\n",
    "\n",
    "if(len(sub) == 0):\n",
    "    categ.append('Zwierzęta')\n",
    "    subcategories.append('Dla psa')\n",
    "    subcategories2.append(' ')\n",
    "    \n",
    "    ##########################################################\n",
    "    driver.find_element_by_class_name('form-control.sri-select__selected-item ').click()\n",
    "    time.sleep(2)\n",
    "    \n",
    "    scrolle = 0\n",
    "    \n",
    "    while True:\n",
    "        try:\n",
    "            driver.find_elements_by_class_name('sri-select__item')[2].click()\n",
    "            break\n",
    "        except:\n",
    "            scrolle+=20\n",
    "            driver.execute_script(\"window.scrollTo(0, {})\".format(scrolle))\n",
    "    \n",
    "    ##########################################################\n",
    "    \n",
    "    count = 1\n",
    "    length = 0\n",
    "    while True:\n",
    "        #driver.maximize_window()\n",
    "        time.sleep(3.5)\n",
    "        price = driver.find_elements_by_class_name('tile-product__price')\n",
    "        for i in price:\n",
    "            pr.append(i.text.split('\\n')[0])\n",
    "\n",
    "        img = driver.find_elements_by_xpath('//div[contains(@class,\"tile-product__img-holder\")]//img')\n",
    "        for i in img: \n",
    "            src = i.get_attribute('src')\n",
    "            image_url.append(src) \n",
    "\n",
    "        Bname = driver.find_elements_by_class_name('tile-product__name')\n",
    "        for j in Bname:\n",
    "            string = \"\"\n",
    "            string2 = \"\"\n",
    "            a = j.text.split('\\n')[0]\n",
    "            l = a.split()\n",
    "            for i in l:\n",
    "                if(i.isupper()):\n",
    "                    string+=i\n",
    "                    string+= \" \"\n",
    "                else:\n",
    "                    string2+=i\n",
    "                    string2+= \" \"\n",
    "            bnm.append(string)\n",
    "            nm.append(string2)\n",
    "            typ.append(j.text.split('\\n')[1])\n",
    "            ###################################URls of products######################################\n",
    "            src = j.get_attribute('href')\n",
    "            urls.append(src)\n",
    "            length+=1\n",
    "            \n",
    "        count+=1\n",
    "        if(count == int(driver.find_element_by_class_name('pages__last').text) +1):\n",
    "            break\n",
    "        curr = driver.current_url\n",
    "        curr = curr.replace(\"Page=\"+ str(count -1), \"Page=\"+str(count))\n",
    "        driver.get(curr)\n",
    "        \n",
    "    print(len(typ), len(bnm), len(nm), len(pr), len(image_url), len(urls))\n",
    "    \n",
    "    \n",
    "    for temp in range(length -1):\n",
    "        subcategories.append(subcategories[len(subcategories) - 1])\n",
    "        subcategories2.append(subcategories2[len(subcategories2) - 1])\n",
    "        categ.append(categ[len(categ) - 1])\n",
    "    \n",
    "    #print(\"Lnegth of subcategory 2 : \", subcategories2)\n",
    "else:\n",
    "    \n",
    "    for it in range(len(sub)):\n",
    "        driver.get(sub[it])\n",
    "\n",
    "        subcategories2.append(subname[it])\n",
    "        categ.append('Zwierzęta')\n",
    "        subcategories.append('Dla psa')\n",
    "\n",
    "        time.sleep(3)\n",
    "        driver.find_element_by_class_name('form-control.sri-select__selected-item ').click()\n",
    "        time.sleep(2)\n",
    "\n",
    "        scrolle = 0\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                driver.find_elements_by_class_name('sri-select__item')[2].click()\n",
    "                break\n",
    "            except:\n",
    "                scrolle+=20\n",
    "                driver.execute_script(\"window.scrollTo(0, {})\".format(scrolle))\n",
    "\n",
    "        count = 1\n",
    "        length = 0\n",
    "        while True:\n",
    "            #driver.maximize_window()\n",
    "            time.sleep(3.5)\n",
    "            price = driver.find_elements_by_class_name('tile-product__price')\n",
    "            for i in price:\n",
    "                pr.append(i.text.split('\\n')[0])\n",
    "\n",
    "            img = driver.find_elements_by_xpath('//div[contains(@class,\"tile-product__img-holder\")]//img')\n",
    "            for i in img: \n",
    "                src = i.get_attribute('src')\n",
    "                image_url.append(src) \n",
    "\n",
    "            Bname = driver.find_elements_by_class_name('tile-product__name')\n",
    "            for j in Bname:\n",
    "                string = \"\"\n",
    "                string2 = \"\"\n",
    "                a = j.text.split('\\n')[0]\n",
    "                l = a.split()\n",
    "                for i in l:\n",
    "                    if(i.isupper()):\n",
    "                        string+=i\n",
    "                        string+= \" \"\n",
    "                    else:\n",
    "                        string2+=i\n",
    "                        string2+= \" \"\n",
    "                bnm.append(string)\n",
    "                nm.append(string2)\n",
    "                typ.append(j.text.split('\\n')[1])\n",
    "                ###################################URls of products######################################\n",
    "                src = j.get_attribute('href')\n",
    "                urls.append(src)\n",
    "                length+=1\n",
    "\n",
    "            count+=1\n",
    "            if(count == int(driver.find_element_by_class_name('pages__last').text) +1):\n",
    "                break\n",
    "            curr = driver.current_url\n",
    "            curr = curr.replace(\"Page=\"+ str(count -1), \"Page=\"+str(count))\n",
    "            driver.get(curr)\n",
    "\n",
    "        print(len(typ), len(bnm), len(nm), len(pr), len(image_url), len(urls))\n",
    "\n",
    "\n",
    "        for temp in range(length -1):\n",
    "            subcategories.append(subcategories[len(subcategories) - 1])\n",
    "            subcategories2.append(subcategories2[len(subcategories2) - 1])\n",
    "            categ.append(categ[len(categ) - 1])\n",
    "\n",
    "        #print(\"Lnegth of subcategory 2 : \", subcategories2)\n",
    "        print(\"Subcategory2 of :\", it +1, \"finished.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1980,
   "id": "90a04b0d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#driver.get(\"https://www.rossmann.pl/kategoria/higiena,8576?Page=1&PageSize=96\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2021,
   "id": "95db3b91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "137 137 137 137 137 137 137 137 137\n"
     ]
    }
   ],
   "source": [
    "print(len(typ), len(bnm), len(nm), len(pr), len(image_url), len(urls), len(subcategories), len(subcategories2), len(categ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2022,
   "id": "94baae62",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pr[22]\n",
    "#pr.insert(23, '16,49 zł')\n",
    "#subcategories2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2023,
   "id": "61e8c7c7",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['9,49 zł',\n",
       " '9,49 zł',\n",
       " '8,49 zł',\n",
       " '8,49 zł',\n",
       " '5,79 zł',\n",
       " '5,79 zł',\n",
       " '4,99 zł',\n",
       " '4,99 zł',\n",
       " '3,39 zł',\n",
       " '3,39 zł',\n",
       " '3,59 zł',\n",
       " '3,59 zł',\n",
       " '2,69 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '3,29 zł',\n",
       " '3,29 zł',\n",
       " '3,29 zł',\n",
       " '3,29 zł',\n",
       " '21,99 zł',\n",
       " '7,79 zł',\n",
       " '6,29 zł',\n",
       " '9,99 zł',\n",
       " '9,99 zł',\n",
       " '9,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '9,49 zł',\n",
       " '9,49 zł',\n",
       " '5,79 zł',\n",
       " '5,79 zł',\n",
       " '4,99 zł',\n",
       " '4,99 zł',\n",
       " '4,99 zł',\n",
       " '4,99 zł',\n",
       " '3,39 zł',\n",
       " '3,39 zł',\n",
       " '4,99 zł',\n",
       " '3,59 zł',\n",
       " '1,59 zł',\n",
       " '1,59 zł',\n",
       " '1,59 zł',\n",
       " '1,59 zł',\n",
       " '1,59 zł',\n",
       " '2,29 zł',\n",
       " '2,29 zł',\n",
       " '21,99 zł',\n",
       " '7,79 zł',\n",
       " '7,79 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '5,99 zł',\n",
       " '3,19 zł',\n",
       " '3,19 zł',\n",
       " '3,19 zł',\n",
       " '12,99 zł',\n",
       " '12,99 zł',\n",
       " '20,99 zł',\n",
       " '6,99 zł',\n",
       " '6,99 zł',\n",
       " '6,99 zł',\n",
       " '23,99 zł',\n",
       " '28,99 zł',\n",
       " '18,99 zł',\n",
       " '17,99 zł',\n",
       " '12,99 zł',\n",
       " '28,99 zł',\n",
       " '28,99 zł',\n",
       " '18,99 zł',\n",
       " '18,99 zł',\n",
       " '18,99 zł',\n",
       " '10,49 zł',\n",
       " '18,99 zł',\n",
       " '18,99 zł',\n",
       " '18,99 zł',\n",
       " '9,99 zł',\n",
       " '12,49 zł',\n",
       " '12,49 zł',\n",
       " '11,79 zł',\n",
       " '10,29 zł',\n",
       " '8,99 zł',\n",
       " '8,99 zł',\n",
       " '5,49 zł',\n",
       " '5,49 zł',\n",
       " '9,99 zł',\n",
       " '8,99 zł',\n",
       " '6,29 zł',\n",
       " '6,49 zł',\n",
       " '5,49 zł',\n",
       " '5,49 zł',\n",
       " '4,29 zł',\n",
       " '4,29 zł',\n",
       " '4,29 zł',\n",
       " '10,49 zł',\n",
       " '5,99 zł',\n",
       " '4,99 zł',\n",
       " '8,99 zł',\n",
       " '11,79 zł',\n",
       " '12,49 zł',\n",
       " '5,49 zł',\n",
       " '15,99 zł',\n",
       " '15,99 zł',\n",
       " '17,49 zł',\n",
       " '15,99 zł',\n",
       " '11,99 zł',\n",
       " '11,99 zł',\n",
       " '65,99 zł',\n",
       " '55,99 zł',\n",
       " '19,99 zł',\n",
       " '34,99 zł',\n",
       " '22,99 zł',\n",
       " '34,99 zł',\n",
       " '39,99 zł',\n",
       " '24,99 zł',\n",
       " '21,99 zł',\n",
       " '13,99 zł',\n",
       " '10,99 zł',\n",
       " '9,99 zł',\n",
       " '14,99 zł',\n",
       " '14,99 zł',\n",
       " '10,99 zł',\n",
       " '6,99 zł',\n",
       " '34,99 zł',\n",
       " '22,99 zł',\n",
       " '7,99 zł']"
      ]
     },
     "execution_count": 2023,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_url, pr\n",
    "pr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2024,
   "id": "5a454222",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from itertools import chain, repeat\n",
    "\n",
    "# subcategories = list(chain.from_iterable(repeat(e, len(nm)) for e in subcategories))\n",
    "# subcategories2 = list(chain.from_iterable(repeat(e, len(nm)) for e in subcategories2))\n",
    "# categ = list(chain.from_iterable(repeat(e, len(nm)) for e in categ))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2025,
   "id": "89c2d75d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Subcategories.extend(subcategories)\n",
    "# Subcategories2.extend(subcategories2)\n",
    "# Categ.extend(categ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2026,
   "id": "3343c54c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nm.extend(nm)\n",
    "# Pr.extend(pr)\n",
    "# Bnm.extend(bnm)\n",
    "# Typ.extend(typ)\n",
    "# #desc=[]\n",
    "# #code=[]\n",
    "# Urls.extend(urls)\n",
    "# Image_url.extend(image_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2027,
   "id": "f648db1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Urls = Urls[:8000]\n",
    "# Nm = Nm[:8000]\n",
    "# Pr = Pr[:8000]\n",
    "# Image_url = Image_url[:8000]\n",
    "# Categ = Categ[:8000]\n",
    "# Subcategories = Subcategories[:8000]\n",
    "# Subcategories2 = Subcategories2[:8000]\n",
    "# Typ = Typ[:8000]\n",
    "# Bnm = Bnm[:8000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2028,
   "id": "33a3743b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22216, 22216, 22216, 22216, 22216, 22216, 22216, 22216, 22216)"
      ]
     },
     "execution_count": 2028,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(Urls), len(Nm), len(Pr), len(Image_url), len(Categ), len(Subcategories), len(Subcategories2), len(Typ), len(Bnm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "885c3591",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "# np.save('Urls', Urls)\n",
    "# np.save('name', Nm)\n",
    "# np.save('Bname', Bnm)\n",
    "# np.save('Type', Typ)\n",
    "# np.save('price', Pr)\n",
    "# np.save('image url', Image_url)\n",
    "# np.save('category', Categ)\n",
    "# np.save('subcategory', Subcategories)\n",
    "# np.save('subcategory2', Subcategories2)\n",
    "# np.save('description', desc)\n",
    "# np.save('Codes', code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e35fd203",
   "metadata": {},
   "outputs": [],
   "source": [
    "Typ = np.load('Type.npy', Typ)\n",
    "Categ = np.load('category.npy', Categ)\n",
    "Subcategories = np.load('subcategory.npy', Subcategories)\n",
    "Subcategories2 = np.load('subcategory2.npy', Subcategories2)\n",
    "desc = np.load('desc.npy', desc)\n",
    "\n",
    "Typ = Typ.tolist()\n",
    "Categ = Categ.tolist()\n",
    "Subcategories = Subcategories.tolist()\n",
    "Subcategories2 = Subcategories2.tolist()\n",
    "desc = desc.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "967a66be",
   "metadata": {},
   "source": [
    "# Description and sku fetcher "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d45e92c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22216, 22216)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#5554+5554, 5554+5554+5554\n",
    "len(Typ), len(desc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2213,
   "id": "ce454d14",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-2213-8685d82b2a9b>:126: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  sku2 = driver2.find_elements_by_class_name('text-muted')[1].text\n",
      "<ipython-input-2213-8685d82b2a9b>:326: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  sku4 = driver4.find_elements_by_class_name('text-muted')[1].text\n",
      "<ipython-input-2213-8685d82b2a9b>:151: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt2 = driver2.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:351: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt4 = driver4.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:226: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  sku3 = driver3.find_elements_by_class_name('text-muted')[1].text\n",
      "<ipython-input-2213-8685d82b2a9b>:251: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt3 = driver3.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:28: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  sku = driver.find_elements_by_class_name('text-muted')[1].text\n",
      "<ipython-input-2213-8685d82b2a9b>:53: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:368: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt4 = driver4.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:70: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:268: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt3 = driver3.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:85: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  e = driver.find_elements_by_class_name('accordion')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData1 products Description and sku fetched ==  4550\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-2213-8685d82b2a9b>:283: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  e3 = driver3.find_elements_by_class_name('accordion')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData3 products Description and sku fetched ==  4518\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-2213-8685d82b2a9b>:168: DeprecationWarning: find_element_by_* commands are deprecated. Please use find_element() instead\n",
      "  butt2 = driver2.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
      "<ipython-input-2213-8685d82b2a9b>:383: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  e4 = driver4.find_elements_by_class_name('accordion')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData4 products Description and sku fetched ==  5463\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-2213-8685d82b2a9b>:183: DeprecationWarning: find_elements_by_* commands are deprecated. Please use find_elements() instead\n",
      "  e2 = driver2.find_elements_by_class_name('accordion')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData2 products Description and sku fetched ==  4860\n",
      "*StoreData1 products Description and sku fetched ==  4551\n",
      "*StoreData3 products Description and sku fetched ==  4519\n",
      "*StoreData4 products Description and sku fetched ==  5464\n",
      "*StoreData1 products Description and sku fetched ==  4552\n",
      "*StoreData2 products Description and sku fetched ==  4861\n",
      "*StoreData3 products Description and sku fetched ==  4520\n",
      "*StoreData1 products Description and sku fetched ==  4553\n",
      "*StoreData4 products Description and sku fetched ==  5465\n",
      "*StoreData1 products Description and sku fetched ==  4554\n",
      "*StoreData2 products Description and sku fetched ==  4862\n",
      "*StoreData3 products Description and sku fetched ==  4521\n",
      "*StoreData1 products Description and sku fetched ==  4555\n",
      "*StoreData3 products Description and sku fetched ==  4522\n",
      "*StoreData4 products Description and sku fetched ==  5466\n",
      "*StoreData2 products Description and sku fetched ==  4863\n",
      "*StoreData3 products Description and sku fetched ==  4523\n",
      "*StoreData1 products Description and sku fetched ==  4556\n",
      "*StoreData4 products Description and sku fetched ==  5467\n",
      "*StoreData2 products Description and sku fetched ==  4864\n",
      "*StoreData3 products Description and sku fetched ==  4524\n",
      "*StoreData1 products Description and sku fetched ==  4557\n",
      "*StoreData4 products Description and sku fetched ==  5468\n",
      "*StoreData3 products Description and sku fetched ==  4525\n",
      "*StoreData2 products Description and sku fetched ==  4865\n",
      "*StoreData1 products Description and sku fetched ==  4558\n",
      "*StoreData4 products Description and sku fetched ==  5469\n",
      "*StoreData3 products Description and sku fetched ==  4526\n",
      "*StoreData2 products Description and sku fetched ==  4866\n",
      "*StoreData1 products Description and sku fetched ==  4559\n",
      "*StoreData3 products Description and sku fetched ==  4527\n",
      "*StoreData4 products Description and sku fetched ==  5470\n",
      "*StoreData1 products Description and sku fetched ==  4560\n",
      "*StoreData2 products Description and sku fetched ==  4867\n",
      "*StoreData3 products Description and sku fetched ==  4528\n",
      "*StoreData4 products Description and sku fetched ==  5471\n",
      "*StoreData1 products Description and sku fetched ==  4561\n",
      "*StoreData2 products Description and sku fetched ==  4868\n",
      "*StoreData3 products Description and sku fetched ==  4529\n",
      "*StoreData4 products Description and sku fetched ==  5472\n",
      "*StoreData1 products Description and sku fetched ==  4562\n",
      "*StoreData2 products Description and sku fetched ==  4869\n",
      "*StoreData3 products Description and sku fetched ==  4530\n",
      "*StoreData4 products Description and sku fetched ==  5473\n",
      "*StoreData2 products Description and sku fetched ==  4870\n",
      "*StoreData1 products Description and sku fetched ==  4563\n",
      "*StoreData4 products Description and sku fetched ==  5474\n",
      "*StoreData3 products Description and sku fetched ==  4531\n",
      "*StoreData2 products Description and sku fetched ==  4871\n",
      "*StoreData4 products Description and sku fetched ==  5475\n",
      "*StoreData3 products Description and sku fetched ==  4532\n",
      "*StoreData1 products Description and sku fetched ==  4564\n",
      "*StoreData4 products Description and sku fetched ==  5476\n",
      "*StoreData3 products Description and sku fetched ==  4533\n",
      "*StoreData2 products Description and sku fetched ==  4872\n",
      "*StoreData3 products Description and sku fetched ==  4534\n",
      "*StoreData4 products Description and sku fetched ==  5477\n",
      "*StoreData1 products Description and sku fetched ==  4565\n",
      "*StoreData2 products Description and sku fetched ==  4873\n",
      "*StoreData3 products Description and sku fetched ==  4535\n",
      "*StoreData4 products Description and sku fetched ==  5478\n",
      "*StoreData3 products Description and sku fetched ==  4536\n",
      "*StoreData1 products Description and sku fetched ==  4566\n",
      "*StoreData4 products Description and sku fetched ==  5479\n",
      "*StoreData2 products Description and sku fetched ==  4874\n",
      "*StoreData1 products Description and sku fetched ==  4567\n",
      "*StoreData3 products Description and sku fetched ==  4537\n",
      "*StoreData4 products Description and sku fetched ==  5480\n",
      "*StoreData2 products Description and sku fetched ==  4875\n",
      "*StoreData4 products Description and sku fetched ==  5481\n",
      "*StoreData3 products Description and sku fetched ==  4538\n",
      "*StoreData1 products Description and sku fetched ==  4568\n",
      "*StoreData2 products Description and sku fetched ==  4876\n",
      "*StoreData4 products Description and sku fetched ==  5482\n",
      "*StoreData3 products Description and sku fetched ==  4539\n",
      "*StoreData1 products Description and sku fetched ==  4569\n",
      "*StoreData2 products Description and sku fetched ==  4877\n",
      "*StoreData4 products Description and sku fetched ==  5483\n",
      "*StoreData3 products Description and sku fetched ==  4540\n",
      "*StoreData1 products Description and sku fetched ==  4570\n",
      "*StoreData2 products Description and sku fetched ==  4878\n",
      "*StoreData4 products Description and sku fetched ==  5484\n",
      "*StoreData2 products Description and sku fetched ==  4879\n",
      "*StoreData3 products Description and sku fetched ==  4541\n",
      "*StoreData1 products Description and sku fetched ==  4571\n",
      "*StoreData2 products Description and sku fetched ==  4880\n",
      "*StoreData4 products Description and sku fetched ==  5485\n",
      "*StoreData3 products Description and sku fetched ==  4542\n",
      "*StoreData1 products Description and sku fetched ==  4572\n",
      "*StoreData4 products Description and sku fetched ==  5486\n",
      "*StoreData2 products Description and sku fetched ==  4881\n",
      "*StoreData4 products Description and sku fetched ==  5487\n",
      "*StoreData3 products Description and sku fetched ==  4543\n",
      "*StoreData2 products Description and sku fetched ==  4882\n",
      "*StoreData1 products Description and sku fetched ==  4573\n",
      "*StoreData4 products Description and sku fetched ==  5488\n",
      "*StoreData3 products Description and sku fetched ==  4544\n",
      "*StoreData1 products Description and sku fetched ==  4574\n",
      "*StoreData2 products Description and sku fetched ==  4883\n",
      "*StoreData4 products Description and sku fetched ==  5489\n",
      "*StoreData3 products Description and sku fetched ==  4545\n",
      "*StoreData1 products Description and sku fetched ==  4575\n",
      "*StoreData2 products Description and sku fetched ==  4884\n",
      "*StoreData4 products Description and sku fetched ==  5490\n",
      "*StoreData1 products Description and sku fetched ==  4576\n",
      "*StoreData3 products Description and sku fetched ==  4546\n",
      "*StoreData4 products Description and sku fetched ==  5491\n",
      "*StoreData2 products Description and sku fetched ==  4885\n",
      "*StoreData1 products Description and sku fetched ==  4577\n",
      "*StoreData3 products Description and sku fetched ==  4547\n",
      "*StoreData2 products Description and sku fetched ==  4886\n",
      "*StoreData4 products Description and sku fetched ==  5492\n",
      "*StoreData1 products Description and sku fetched ==  4578\n",
      "*StoreData3 products Description and sku fetched == *StoreData2 products Description and sku fetched ==  4548\n",
      " 4887\n",
      "*StoreData4 products Description and sku fetched ==  5493\n",
      "*StoreData1 products Description and sku fetched ==  4579\n",
      "*StoreData3 products Description and sku fetched ==  4549\n",
      "*StoreData2 products Description and sku fetched ==  4888\n",
      "*StoreData4 products Description and sku fetched ==  5494\n",
      "*StoreData1 products Description and sku fetched ==  4580\n",
      "*StoreData3 products Description and sku fetched ==  4550\n",
      "*StoreData3 products Description and sku fetched ==  4551\n",
      "*StoreData1 products Description and sku fetched ==  4581\n",
      "*StoreData2 products Description and sku fetched ==  4889\n",
      "*StoreData4 products Description and sku fetched ==  5495\n",
      "*StoreData1 products Description and sku fetched ==  4582\n",
      "*StoreData2 products Description and sku fetched ==  4890\n",
      "*StoreData3 products Description and sku fetched ==  4552\n",
      "*StoreData4 products Description and sku fetched ==  5496\n",
      "*StoreData2 products Description and sku fetched ==  4891\n",
      "*StoreData3 products Description and sku fetched ==  4553\n",
      "*StoreData1 products Description and sku fetched ==  4583\n",
      "*StoreData4 products Description and sku fetched ==  5497\n",
      "*StoreData3 products Description and sku fetched ==  4554\n",
      "*StoreData2 products Description and sku fetched ==  4892\n",
      "*StoreData3 products Description and sku fetched ==  4555\n",
      "*StoreData1 products Description and sku fetched ==  4584\n",
      "*StoreData4 products Description and sku fetched ==  5498\n",
      "*StoreData3 products Description and sku fetched ==  4556\n",
      "*StoreData2 products Description and sku fetched ==  4893\n",
      "*StoreData4 products Description and sku fetched ==  5499\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData1 products Description and sku fetched ==  4585\n",
      "*StoreData3 products Description and sku fetched ==  4557\n",
      "***********************StoreData4 total products Description and sku fetched ==  5500\n",
      "*StoreData4 products Description and sku fetched ==  5500\n",
      "*StoreData2 products Description and sku fetched ==  4894\n",
      "*StoreData3 products Description and sku fetched ==  4558\n",
      "*StoreData1 products Description and sku fetched ==  4586\n",
      "*StoreData4 products Description and sku fetched ==  5501\n",
      "*StoreData3 products Description and sku fetched ==  4559\n",
      "*StoreData2 products Description and sku fetched ==  4895\n",
      "*StoreData1 products Description and sku fetched ==  4587\n",
      "*StoreData4 products Description and sku fetched ==  5502\n",
      "*StoreData3 products Description and sku fetched ==  4560\n",
      "*StoreData2 products Description and sku fetched ==  4896\n",
      "*StoreData3 products Description and sku fetched ==  4561\n",
      "*StoreData1 products Description and sku fetched ==  4588\n",
      "*StoreData4 products Description and sku fetched ==  5503\n",
      "*StoreData3 products Description and sku fetched ==  4562\n",
      "*StoreData2 products Description and sku fetched ==  4897\n",
      "*StoreData1 products Description and sku fetched ==  4589\n",
      "*StoreData4 products Description and sku fetched ==  5504\n",
      "*StoreData3 products Description and sku fetched ==  4563\n",
      "*StoreData4 products Description and sku fetched ==  5505\n",
      "*StoreData2 products Description and sku fetched ==  4898\n",
      "*StoreData3 products Description and sku fetched ==  4564\n",
      "*StoreData1 products Description and sku fetched ==  4590\n",
      "*StoreData4 products Description and sku fetched ==  5506\n",
      "*StoreData2 products Description and sku fetched ==  4899\n",
      "*StoreData3 products Description and sku fetched ==  4565\n",
      "*StoreData4 products Description and sku fetched ==  5507\n",
      "*StoreData1 products Description and sku fetched ==  4591\n",
      "*StoreData4 products Description and sku fetched ==  5508\n",
      "*StoreData3 products Description and sku fetched ==  4566\n",
      "*StoreData2 products Description and sku fetched ==  4900\n",
      "*StoreData1 products Description and sku fetched ==  4592\n",
      "*StoreData4 products Description and sku fetched ==  5509\n",
      "*StoreData3 products Description and sku fetched ==  4567\n",
      "*StoreData2 products Description and sku fetched ==  4901\n",
      "*StoreData4 products Description and sku fetched ==  5510\n",
      "*StoreData1 products Description and sku fetched ==  4593\n",
      "*StoreData3 products Description and sku fetched ==  4568\n",
      "*StoreData2 products Description and sku fetched ==  4902\n",
      "*StoreData4 products Description and sku fetched ==  5511\n",
      "*StoreData3 products Description and sku fetched ==  4569\n",
      "*StoreData4 products Description and sku fetched ==  5512\n",
      "*StoreData2 products Description and sku fetched ==  4903\n",
      "*StoreData1 products Description and sku fetched ==  4594\n",
      "*StoreData3 products Description and sku fetched ==  4570\n",
      "*StoreData4 products Description and sku fetched ==  5513\n",
      "*StoreData2 products Description and sku fetched ==  4904\n",
      "*StoreData1 products Description and sku fetched ==  4595\n",
      "*StoreData3 products Description and sku fetched ==  4571\n",
      "*StoreData4 products Description and sku fetched ==  5514\n",
      "*StoreData2 products Description and sku fetched ==  4905\n",
      "*StoreData3 products Description and sku fetched ==  4572\n",
      "*StoreData4 products Description and sku fetched ==  5515\n",
      "*StoreData1 products Description and sku fetched ==  4596\n",
      "*StoreData2 products Description and sku fetched ==  4906\n",
      "*StoreData3 products Description and sku fetched ==  4573\n",
      "*StoreData4 products Description and sku fetched ==  5516\n",
      "*StoreData1 products Description and sku fetched ==  4597\n",
      "*StoreData3 products Description and sku fetched ==  4574\n",
      "*StoreData4 products Description and sku fetched ==  5517\n",
      "*StoreData2 products Description and sku fetched ==  4907\n",
      "*StoreData3 products Description and sku fetched ==  4575\n",
      "*StoreData1 products Description and sku fetched ==  4598\n",
      "*StoreData4 products Description and sku fetched ==  5518\n",
      "*StoreData2 products Description and sku fetched ==  4908\n",
      "*StoreData3 products Description and sku fetched ==  4576\n",
      "*StoreData4 products Description and sku fetched ==  5519\n",
      "*StoreData2 products Description and sku fetched ==  4909\n",
      "*StoreData1 products Description and sku fetched ==  4599\n",
      "*StoreData3 products Description and sku fetched ==  4577\n",
      "*StoreData3 products Description and sku fetched ==  4578\n",
      "*StoreData4 products Description and sku fetched ==  5520\n",
      "*StoreData2 products Description and sku fetched ==  4910\n",
      "*StoreData1 products Description and sku fetched ==  4600\n",
      "*StoreData3 products Description and sku fetched ==  4579\n",
      "*StoreData4 products Description and sku fetched ==  5521\n",
      "*StoreData2 products Description and sku fetched ==  4911\n",
      "*StoreData3 products Description and sku fetched ==  4580\n",
      "*StoreData1 products Description and sku fetched ==  4601\n",
      "*StoreData4 products Description and sku fetched ==  5522\n",
      "*StoreData3 products Description and sku fetched ==  4581\n",
      "*StoreData2 products Description and sku fetched ==  4912\n",
      "*StoreData1 products Description and sku fetched ==  4602\n",
      "*StoreData3 products Description and sku fetched ==  4582\n",
      "*StoreData4 products Description and sku fetched ==  5523\n",
      "*StoreData2 products Description and sku fetched ==  4913\n",
      "*StoreData1 products Description and sku fetched ==  4603\n",
      "*StoreData4 products Description and sku fetched ==  5524\n",
      "*StoreData3 products Description and sku fetched ==  4583\n",
      "*StoreData2 products Description and sku fetched ==  4914\n",
      "*StoreData4 products Description and sku fetched ==  5525\n",
      "*StoreData1 products Description and sku fetched ==  4604\n",
      "*StoreData2 products Description and sku fetched ==  4915\n",
      "*StoreData4 products Description and sku fetched ==  5526\n",
      "*StoreData3 products Description and sku fetched ==  4584\n",
      "*StoreData2 products Description and sku fetched ==  4916\n",
      "*StoreData4 products Description and sku fetched ==  5527\n",
      "*StoreData1 products Description and sku fetched ==  4605\n",
      "*StoreData2 products Description and sku fetched ==  4917\n",
      "*StoreData4 products Description and sku fetched ==  5528\n",
      "*StoreData3 products Description and sku fetched ==  4585\n",
      "*StoreData1 products Description and sku fetched ==  4606\n",
      "*StoreData2 products Description and sku fetched ==  4918\n",
      "*StoreData4 products Description and sku fetched ==  5529\n",
      "*StoreData2 products Description and sku fetched ==  4919\n",
      "*StoreData4 products Description and sku fetched ==  5530\n",
      "*StoreData3 products Description and sku fetched ==  4586\n",
      "*StoreData1 products Description and sku fetched ==  4607\n",
      "*StoreData2 products Description and sku fetched ==  4920\n",
      "*StoreData4 products Description and sku fetched ==  5531\n",
      "*StoreData1 products Description and sku fetched ==  4608\n",
      "*StoreData3 products Description and sku fetched ==  4587\n",
      "*StoreData2 products Description and sku fetched ==  4921\n",
      "*StoreData4 products Description and sku fetched ==  5532\n",
      "*StoreData1 products Description and sku fetched ==  4609\n",
      "*StoreData3 products Description and sku fetched ==  4588\n",
      "*StoreData1 products Description and sku fetched ==  4610\n",
      "*StoreData4 products Description and sku fetched ==  5533\n",
      "*StoreData2 products Description and sku fetched ==  4922\n",
      "*StoreData3 products Description and sku fetched ==  4589\n",
      "*StoreData1 products Description and sku fetched ==  4611\n",
      "*StoreData4 products Description and sku fetched ==  5534\n",
      "*StoreData1 products Description and sku fetched ==  4612\n",
      "*StoreData3 products Description and sku fetched ==  4590\n",
      "*StoreData2 products Description and sku fetched ==  4923\n",
      "*StoreData3 products Description and sku fetched ==  4591\n",
      "*StoreData1 products Description and sku fetched ==  4613\n",
      "*StoreData4 products Description and sku fetched ==  5535\n",
      "*StoreData2 products Description and sku fetched ==  4924\n",
      "*StoreData1 products Description and sku fetched ==  4614\n",
      "*StoreData4 products Description and sku fetched ==  5536\n",
      "*StoreData1 products Description and sku fetched ==  4615\n",
      "*StoreData4 products Description and sku fetched ==  5537\n",
      "*StoreData2 products Description and sku fetched ==  4925\n",
      "*StoreData3 products Description and sku fetched ==  4592\n",
      "*StoreData4 products Description and sku fetched ==  5538\n",
      "*StoreData3 products Description and sku fetched ==  4593\n",
      "*StoreData1 products Description and sku fetched ==  4616\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "*StoreData2 products Description and sku fetched ==  4926\n",
      "*StoreData4 products Description and sku fetched ==  5539\n",
      "*StoreData3 products Description and sku fetched ==  4594\n",
      "*StoreData4 products Description and sku fetched ==  5540\n",
      "*StoreData1 products Description and sku fetched ==  4617\n",
      "*StoreData3 products Description and sku fetched ==  4595\n",
      "*StoreData4 products Description and sku fetched ==  5541\n",
      "*StoreData2 products Description and sku fetched ==  4927\n",
      "*StoreData3 products Description and sku fetched ==  4596\n",
      "*StoreData1 products Description and sku fetched ==  4618\n",
      "*StoreData4 products Description and sku fetched ==  5542\n",
      "*StoreData4 products Description and sku fetched ==  5543\n",
      "*StoreData1 products Description and sku fetched ==  4619\n",
      "*StoreData3 products Description and sku fetched ==  4597\n",
      "*StoreData2 products Description and sku fetched ==  4928\n",
      "*StoreData4 products Description and sku fetched ==  5544\n",
      "*StoreData3 products Description and sku fetched ==  4598\n",
      "*StoreData1 products Description and sku fetched ==  4620\n",
      "*StoreData4 products Description and sku fetched ==  5545\n",
      "*StoreData1 products Description and sku fetched ==  4621\n",
      "*StoreData3 products Description and sku fetched ==  4599\n",
      "*StoreData2 products Description and sku fetched ==  4929\n",
      "*StoreData4 products Description and sku fetched ==  5546\n",
      "*StoreData1 products Description and sku fetched ==  4622\n",
      "*StoreData4 products Description and sku fetched ==  5547\n",
      "*StoreData3 products Description and sku fetched ==  4600\n",
      "*StoreData4 products Description and sku fetched ==  5548\n",
      "*StoreData1 products Description and sku fetched ==  4623\n",
      "*StoreData3 products Description and sku fetched ==  4601\n",
      "*StoreData2 products Description and sku fetched ==  4930\n",
      "*StoreData4 products Description and sku fetched ==  5549\n",
      "*StoreData1 products Description and sku fetched ==  4624\n",
      "*StoreData4 products Description and sku fetched ==  5550\n",
      "*StoreData3 products Description and sku fetched ==  4602\n",
      "*StoreData4 products Description and sku fetched ==  5551\n",
      "*StoreData1 products Description and sku fetched ==  4625\n",
      "*StoreData2 products Description and sku fetched ==  4931\n",
      "*StoreData4 products Description and sku fetched ==  5552\n",
      "*StoreData3 products Description and sku fetched ==  4603\n",
      "*StoreData1 products Description and sku fetched ==  4626\n",
      "*StoreData4 products Description and sku fetched ==  5553\n",
      "*StoreData3 products Description and sku fetched ==  4604\n",
      "*StoreData2 products Description and sku fetched ==  4932\n",
      "*StoreData1 products Description and sku fetched ==  4627\n",
      "*StoreData4 products Description and sku fetched ==  5554\n",
      "*StoreData3 products Description and sku fetched ==  4605\n",
      "*StoreData1 products Description and sku fetched ==  4628\n",
      "*StoreData2 products Description and sku fetched ==  4933\n",
      "*StoreData1 products Description and sku fetched ==  4629\n",
      "*StoreData3 products Description and sku fetched ==  4606\n",
      "*StoreData1 products Description and sku fetched ==  4630\n",
      "*StoreData2 products Description and sku fetched ==  4934\n",
      "*StoreData3 products Description and sku fetched ==  4607\n",
      "*StoreData1 products Description and sku fetched ==  4631\n",
      "*StoreData2 products Description and sku fetched ==  4935\n",
      "*StoreData1 products Description and sku fetched ==  4632\n",
      "*StoreData3 products Description and sku fetched ==  4608\n",
      "*StoreData2 products Description and sku fetched ==  4936\n",
      "*StoreData1 products Description and sku fetched ==  4633\n",
      "*StoreData3 products Description and sku fetched ==  4609\n",
      "*StoreData1 products Description and sku fetched ==  4634\n",
      "*StoreData3 products Description and sku fetched ==  4610\n",
      "*StoreData2 products Description and sku fetched ==  4937\n",
      "*StoreData3 products Description and sku fetched ==  4611\n",
      "*StoreData1 products Description and sku fetched ==  4635\n",
      "*StoreData2 products Description and sku fetched ==  4938\n",
      "*StoreData3 products Description and sku fetched ==  4612\n",
      "*StoreData1 products Description and sku fetched ==  4636\n",
      "*StoreData2 products Description and sku fetched ==  4939\n",
      "*StoreData3 products Description and sku fetched ==  4613\n",
      "*StoreData1 products Description and sku fetched ==  4637\n",
      "*StoreData2 products Description and sku fetched ==  4940\n",
      "*StoreData3 products Description and sku fetched ==  4614\n",
      "*StoreData1 products Description and sku fetched ==  4638\n",
      "*StoreData2 products Description and sku fetched ==  4941\n",
      "*StoreData1 products Description and sku fetched ==  4639\n",
      "*StoreData3 products Description and sku fetched ==  4615\n",
      "*StoreData1 products Description and sku fetched ==  4640\n",
      "*StoreData3 products Description and sku fetched ==  4616\n",
      "*StoreData2 products Description and sku fetched ==  4942\n",
      "*StoreData1 products Description and sku fetched ==  4641\n",
      "*StoreData3 products Description and sku fetched ==  4617\n",
      "*StoreData2 products Description and sku fetched ==  4943\n",
      "*StoreData1 products Description and sku fetched ==  4642\n",
      "*StoreData3 products Description and sku fetched ==  4618\n",
      "*StoreData3 products Description and sku fetched ==  4619\n",
      "*StoreData1 products Description and sku fetched ==  4643\n",
      "*StoreData2 products Description and sku fetched ==  4944\n",
      "*StoreData3 products Description and sku fetched ==  4620\n",
      "*StoreData1 products Description and sku fetched ==  4644\n",
      "*StoreData2 products Description and sku fetched ==  4945\n",
      "*StoreData3 products Description and sku fetched ==  4621\n",
      "*StoreData2 products Description and sku fetched ==  4946\n",
      "*StoreData1 products Description and sku fetched ==  4645\n",
      "*StoreData2 products Description and sku fetched ==  4947\n",
      "*StoreData3 products Description and sku fetched ==  4622\n",
      "*StoreData1 products Description and sku fetched ==  4646\n",
      "*StoreData2 products Description and sku fetched ==  4948\n",
      "*StoreData3 products Description and sku fetched ==  4623\n",
      "*StoreData1 products Description and sku fetched ==  4647\n",
      "*StoreData2 products Description and sku fetched ==  4949\n",
      "*StoreData3 products Description and sku fetched ==  4624\n",
      "*StoreData3 products Description and sku fetched ==  4625\n",
      "*StoreData1 products Description and sku fetched ==  4648\n",
      "*StoreData2 products Description and sku fetched ==  4950\n",
      "*StoreData3 products Description and sku fetched ==  4626\n",
      "*StoreData1 products Description and sku fetched ==  4649\n",
      "*StoreData2 products Description and sku fetched ==  4951\n",
      "*StoreData3 products Description and sku fetched ==  4627\n",
      "*StoreData1 products Description and sku fetched ==  4650\n",
      "*StoreData2 products Description and sku fetched ==  4952\n",
      "*StoreData3 products Description and sku fetched ==  4628\n",
      "*StoreData1 products Description and sku fetched ==  4651\n",
      "*StoreData2 products Description and sku fetched ==  4953\n",
      "*StoreData3 products Description and sku fetched ==  4629\n",
      "*StoreData1 products Description and sku fetched ==  4652\n",
      "*StoreData2 products Description and sku fetched ==  4954\n",
      "*StoreData3 products Description and sku fetched ==  4630\n",
      "*StoreData2 products Description and sku fetched ==  4955\n",
      "*StoreData1 products Description and sku fetched ==  4653\n",
      "*StoreData3 products Description and sku fetched ==  4631\n",
      "*StoreData1 products Description and sku fetched ==  4654\n",
      "*StoreData2 products Description and sku fetched ==  4956\n",
      "*StoreData1 products Description and sku fetched ==  4655\n",
      "*StoreData3 products Description and sku fetched ==  4632\n",
      "*StoreData2 products Description and sku fetched ==  4957\n",
      "*StoreData1 products Description and sku fetched ==  4656\n",
      "*StoreData3 products Description and sku fetched ==  4633\n",
      "*StoreData2 products Description and sku fetched ==  4958\n",
      "*StoreData1 products Description and sku fetched ==  4657\n",
      "*StoreData3 products Description and sku fetched ==  4634\n",
      "*StoreData2 products Description and sku fetched ==  4959\n",
      "*StoreData1 products Description and sku fetched ==  4658\n",
      "*StoreData1 products Description and sku fetched ==  4659\n",
      "*StoreData3 products Description and sku fetched ==  4635\n",
      "*StoreData2 products Description and sku fetched ==  4960\n",
      "*StoreData1 products Description and sku fetched ==  4660\n",
      "*StoreData3 products Description and sku fetched ==  4636\n",
      "*StoreData1 products Description and sku fetched ==  4661\n",
      "*StoreData2 products Description and sku fetched ==  4961\n",
      "*StoreData3 products Description and sku fetched ==  4637\n",
      "*StoreData1 products Description and sku fetched ==  4662\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData2 products Description and sku fetched ==  4962\n",
      "*StoreData1 products Description and sku fetched ==  4663\n",
      "*StoreData3 products Description and sku fetched ==  4638\n",
      "*StoreData1 products Description and sku fetched ==  4664\n",
      "*StoreData2 products Description and sku fetched ==  4963\n",
      "*StoreData3 products Description and sku fetched ==  4639\n",
      "*StoreData1 products Description and sku fetched ==  4665\n",
      "*StoreData2 products Description and sku fetched ==  4964\n",
      "*StoreData3 products Description and sku fetched ==  4640\n",
      "*StoreData1 products Description and sku fetched ==  4666\n",
      "*StoreData2 products Description and sku fetched ==  4965\n",
      "*StoreData3 products Description and sku fetched ==  4641\n",
      "*StoreData1 products Description and sku fetched ==  4667\n",
      "*StoreData2 products Description and sku fetched ==  4966\n",
      "*StoreData1 products Description and sku fetched ==  4668\n",
      "*StoreData3 products Description and sku fetched ==  4642\n",
      "*StoreData2 products Description and sku fetched ==  4967\n",
      "*StoreData1 products Description and sku fetched ==  4669\n",
      "*StoreData3 products Description and sku fetched ==  4643\n",
      "*StoreData2 products Description and sku fetched ==  4968\n",
      "*StoreData1 products Description and sku fetched ==  4670\n",
      "*StoreData2 products Description and sku fetched ==  4969\n",
      "*StoreData3 products Description and sku fetched ==  4644\n",
      "*StoreData1 products Description and sku fetched ==  4671\n",
      "*StoreData2 products Description and sku fetched ==  4970\n",
      "*StoreData1 products Description and sku fetched ==  4672\n",
      "*StoreData3 products Description and sku fetched ==  4645\n",
      "*StoreData1 products Description and sku fetched ==  4673\n",
      "*StoreData2 products Description and sku fetched ==  4971\n",
      "*StoreData3 products Description and sku fetched ==  4646\n",
      "*StoreData1 products Description and sku fetched ==  4674\n",
      "*StoreData1 products Description and sku fetched ==  4675\n",
      "*StoreData3 products Description and sku fetched ==  4647\n",
      "*StoreData2 products Description and sku fetched ==  4972\n",
      "*StoreData3 products Description and sku fetched ==  4648\n",
      "*StoreData1 products Description and sku fetched ==  4676\n",
      "*StoreData2 products Description and sku fetched ==  4973\n",
      "*StoreData3 products Description and sku fetched ==  4649\n",
      "*StoreData1 products Description and sku fetched ==  4677\n",
      "*StoreData2 products Description and sku fetched ==  4974\n",
      "*StoreData3 products Description and sku fetched ==  4650\n",
      "*StoreData1 products Description and sku fetched ==  4678\n",
      "*StoreData3 products Description and sku fetched ==  4651\n",
      "*StoreData1 products Description and sku fetched ==  4679\n",
      "*StoreData2 products Description and sku fetched ==  4975\n",
      "*StoreData1 products Description and sku fetched ==  4680\n",
      "*StoreData2 products Description and sku fetched ==  4976\n",
      "*StoreData3 products Description and sku fetched ==  4652\n",
      "*StoreData1 products Description and sku fetched ==  4681\n",
      "*StoreData3 products Description and sku fetched ==  4653\n",
      "*StoreData2 products Description and sku fetched ==  4977\n",
      "*StoreData1 products Description and sku fetched ==  4682\n",
      "*StoreData1 products Description and sku fetched ==  4683\n",
      "*StoreData3 products Description and sku fetched ==  4654\n",
      "*StoreData2 products Description and sku fetched ==  4978\n",
      "*StoreData1 products Description and sku fetched ==  4684\n",
      "*StoreData1 products Description and sku fetched ==  4685\n",
      "*StoreData2 products Description and sku fetched ==  4979\n",
      "*StoreData3 products Description and sku fetched ==  4655\n",
      "*StoreData1 products Description and sku fetched ==  4686\n",
      "*StoreData2 products Description and sku fetched ==  4980\n",
      "*StoreData3 products Description and sku fetched ==  4656\n",
      "*StoreData1 products Description and sku fetched ==  4687\n",
      "*StoreData2 products Description and sku fetched ==  4981\n",
      "*StoreData1 products Description and sku fetched ==  4688\n",
      "*StoreData3 products Description and sku fetched ==  4657\n",
      "*StoreData1 products Description and sku fetched ==  4689\n",
      "*StoreData2 products Description and sku fetched ==  4982\n",
      "*StoreData3 products Description and sku fetched ==  4658\n",
      "*StoreData1 products Description and sku fetched ==  4690\n",
      "*StoreData3 products Description and sku fetched ==  4659\n",
      "*StoreData2 products Description and sku fetched ==  4983\n",
      "*StoreData1 products Description and sku fetched ==  4691\n",
      "*StoreData3 products Description and sku fetched ==  4660\n",
      "*StoreData1 products Description and sku fetched ==  4692\n",
      "*StoreData2 products Description and sku fetched ==  4984\n",
      "*StoreData3 products Description and sku fetched ==  4661\n",
      "*StoreData1 products Description and sku fetched ==  4693\n",
      "*StoreData3 products Description and sku fetched ==  4662\n",
      "*StoreData2 products Description and sku fetched ==  4985\n",
      "*StoreData1 products Description and sku fetched ==  4694\n",
      "*StoreData3 products Description and sku fetched ==  4663\n",
      "*StoreData2 products Description and sku fetched ==  4986\n",
      "*StoreData1 products Description and sku fetched ==  4695\n",
      "*StoreData3 products Description and sku fetched ==  4664\n",
      "*StoreData1 products Description and sku fetched ==  4696\n",
      "*StoreData3 products Description and sku fetched ==  4665\n",
      "*StoreData2 products Description and sku fetched ==  4987\n",
      "*StoreData1 products Description and sku fetched ==  4697\n",
      "*StoreData2 products Description and sku fetched ==  4988\n",
      "*StoreData3 products Description and sku fetched ==  4666\n",
      "*StoreData1 products Description and sku fetched ==  4698\n",
      "*StoreData2 products Description and sku fetched ==  4989\n",
      "*StoreData3 products Description and sku fetched ==  4667\n",
      "*StoreData1 products Description and sku fetched ==  4699\n",
      "*StoreData2 products Description and sku fetched ==  4990\n",
      "*StoreData3 products Description and sku fetched ==  4668\n",
      "*StoreData1 products Description and sku fetched ==  4700\n",
      "*StoreData2 products Description and sku fetched ==  4991\n",
      "*StoreData1 products Description and sku fetched ==  4701\n",
      "*StoreData3 products Description and sku fetched ==  4669\n",
      "*StoreData2 products Description and sku fetched ==  4992\n",
      "*StoreData1 products Description and sku fetched ==  4702\n",
      "*StoreData3 products Description and sku fetched ==  4670\n",
      "*StoreData1 products Description and sku fetched ==  4703\n",
      "*StoreData2 products Description and sku fetched ==  4993\n",
      "*StoreData3 products Description and sku fetched ==  4671\n",
      "*StoreData1 products Description and sku fetched ==  4704\n",
      "*StoreData1 products Description and sku fetched ==  4705\n",
      "*StoreData3 products Description and sku fetched ==  4672\n",
      "*StoreData2 products Description and sku fetched ==  4994\n",
      "*StoreData1 products Description and sku fetched ==  4706\n",
      "*StoreData3 products Description and sku fetched ==  4673\n",
      "*StoreData2 products Description and sku fetched ==  4995\n",
      "*StoreData1 products Description and sku fetched ==  4707\n",
      "*StoreData3 products Description and sku fetched ==  4674\n",
      "*StoreData2 products Description and sku fetched ==  4996\n",
      "*StoreData1 products Description and sku fetched ==  4708\n",
      "*StoreData3 products Description and sku fetched ==  4675\n",
      "*StoreData1 products Description and sku fetched ==  4709\n",
      "*StoreData2 products Description and sku fetched ==  4997\n",
      "*StoreData2 products Description and sku fetched ==  4998\n",
      "*StoreData3 products Description and sku fetched ==  4676\n",
      "*StoreData2 products Description and sku fetched ==  4999\n",
      "*StoreData3 products Description and sku fetched ==  4677\n",
      "*StoreData1 products Description and sku fetched ==  4710\n",
      "***********************StoreData2 total products Description and sku fetched ==  5000\n",
      "*StoreData2 products Description and sku fetched ==  5000\n",
      "*StoreData1 products Description and sku fetched ==  4711\n",
      "*StoreData3 products Description and sku fetched ==  4678\n",
      "*StoreData2 products Description and sku fetched ==  5001\n",
      "*StoreData1 products Description and sku fetched ==  4712\n",
      "*StoreData3 products Description and sku fetched ==  4679\n",
      "*StoreData1 products Description and sku fetched ==  4713\n",
      "*StoreData3 products Description and sku fetched ==  4680\n",
      "*StoreData1 products Description and sku fetched ==  4714\n",
      "*StoreData2 products Description and sku fetched ==  5002\n",
      "*StoreData3 products Description and sku fetched ==  4681\n",
      "*StoreData1 products Description and sku fetched ==  4715\n",
      "*StoreData3 products Description and sku fetched ==  4682\n",
      "*StoreData1 products Description and sku fetched ==  4716\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData2 products Description and sku fetched ==  5003\n",
      "*StoreData3 products Description and sku fetched ==  4683\n",
      "*StoreData1 products Description and sku fetched ==  4717\n",
      "*StoreData2 products Description and sku fetched ==  5004\n",
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      "*StoreData2 products Description and sku fetched ==  5005\n",
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      "*StoreData1 products Description and sku fetched ==  4719\n",
      "*StoreData3 products Description and sku fetched ==  4686\n",
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      "*StoreData2 products Description and sku fetched ==  5006\n",
      "*StoreData3 products Description and sku fetched ==  4687\n",
      "*StoreData1 products Description and sku fetched ==  4721\n",
      "*StoreData3 products Description and sku fetched ==  4688\n",
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      "*StoreData2 products Description and sku fetched ==  5008\n",
      "*StoreData3 products Description and sku fetched ==  4690\n",
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      "*StoreData2 products Description and sku fetched ==  5009\n",
      "*StoreData3 products Description and sku fetched ==  4691\n",
      "*StoreData1 products Description and sku fetched ==  4724\n",
      "*StoreData3 products Description and sku fetched ==  4692\n",
      "*StoreData1 products Description and sku fetched ==  4725\n",
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      "*StoreData3 products Description and sku fetched ==  4693\n",
      "*StoreData1 products Description and sku fetched ==  4726\n",
      "*StoreData2 products Description and sku fetched ==  5011\n",
      "*StoreData1 products Description and sku fetched ==  4727\n",
      "*StoreData3 products Description and sku fetched ==  4694\n",
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      "*StoreData1 products Description and sku fetched ==  4737\n",
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      "*StoreData3 products Description and sku fetched ==  4702\n",
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      "*StoreData3 products Description and sku fetched ==  4703\n",
      "*StoreData1 products Description and sku fetched ==  4739\n",
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      "*StoreData1 products Description and sku fetched ==  4758\n",
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      "*StoreData2 products Description and sku fetched ==  5035\n",
      "*StoreData1 products Description and sku fetched ==  4759\n",
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      "*StoreData3 products Description and sku fetched ==  4815\n",
      "*StoreData2 products Description and sku fetched ==  5124\n",
      "*StoreData1 products Description and sku fetched ==  4861\n",
      "*StoreData3 products Description and sku fetched ==  4816\n",
      "*StoreData2 products Description and sku fetched ==  5125\n",
      "*StoreData1 products Description and sku fetched ==  4862\n",
      "*StoreData3 products Description and sku fetched ==  4817\n",
      "*StoreData3 products Description and sku fetched ==  4818\n",
      "*StoreData2 products Description and sku fetched ==  5126\n",
      "*StoreData1 products Description and sku fetched ==  4863\n",
      "*StoreData3 products Description and sku fetched ==  4819\n",
      "*StoreData2 products Description and sku fetched ==  5127\n",
      "*StoreData1 products Description and sku fetched ==  4864\n",
      "*StoreData3 products Description and sku fetched ==  4820\n",
      "*StoreData2 products Description and sku fetched ==  5128\n",
      "*StoreData1 products Description and sku fetched ==  4865\n",
      "*StoreData3 products Description and sku fetched ==  4821\n",
      "*StoreData2 products Description and sku fetched ==  5129\n",
      "*StoreData3 products Description and sku fetched ==  4822\n",
      "*StoreData2 products Description and sku fetched ==  5130\n",
      "*StoreData1 products Description and sku fetched ==  4866\n",
      "*StoreData3 products Description and sku fetched ==  4823\n",
      "*StoreData2 products Description and sku fetched ==  5131\n",
      "*StoreData3 products Description and sku fetched ==  4824\n",
      "*StoreData1 products Description and sku fetched ==  4867\n",
      "*StoreData2 products Description and sku fetched ==  5132\n",
      "*StoreData3 products Description and sku fetched ==  4825\n",
      "*StoreData2 products Description and sku fetched ==  5133\n",
      "*StoreData3 products Description and sku fetched ==  4826\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
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      "*StoreData1 products Description and sku fetched ==  4868\n",
      "*StoreData2 products Description and sku fetched ==  5134\n",
      "*StoreData3 products Description and sku fetched ==  4827\n",
      "*StoreData2 products Description and sku fetched ==  5135\n",
      "*StoreData3 products Description and sku fetched ==  4828\n",
      "*StoreData1 products Description and sku fetched ==  4869\n",
      "*StoreData3 products Description and sku fetched ==  4829\n",
      "*StoreData2 products Description and sku fetched ==  5136\n",
      "*StoreData3 products Description and sku fetched ==  4830\n",
      "*StoreData1 products Description and sku fetched ==  4870\n",
      "*StoreData2 products Description and sku fetched ==  5137\n",
      "*StoreData3 products Description and sku fetched ==  4831\n",
      "*StoreData2 products Description and sku fetched ==  5138\n",
      "*StoreData3 products Description and sku fetched ==  4832\n",
      "*StoreData1 products Description and sku fetched ==  4871\n",
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      "*StoreData3 products Description and sku fetched ==  4833\n",
      "*StoreData1 products Description and sku fetched ==  4872\n",
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      "*StoreData3 products Description and sku fetched ==  4834\n",
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      "*StoreData3 products Description and sku fetched ==  4835\n",
      "*StoreData1 products Description and sku fetched ==  4873\n",
      "*StoreData2 products Description and sku fetched ==  5142\n",
      "*StoreData3 products Description and sku fetched ==  4836\n",
      "*StoreData1 products Description and sku fetched ==  4874\n",
      "*StoreData2 products Description and sku fetched ==  5143\n",
      "*StoreData3 products Description and sku fetched ==  4837\n",
      "*StoreData2 products Description and sku fetched ==  5144\n",
      "*StoreData3 products Description and sku fetched ==  4838\n",
      "*StoreData1 products Description and sku fetched ==  4875\n",
      "*StoreData2 products Description and sku fetched ==  5145\n",
      "*StoreData3 products Description and sku fetched ==  4839\n",
      "*StoreData1 products Description and sku fetched ==  4876\n",
      "*StoreData3 products Description and sku fetched ==  4840\n",
      "*StoreData2 products Description and sku fetched ==  5146\n",
      "*StoreData3 products Description and sku fetched ==  4841\n",
      "*StoreData2 products Description and sku fetched ==  5147\n",
      "*StoreData1 products Description and sku fetched ==  4877\n",
      "*StoreData3 products Description and sku fetched ==  4842\n",
      "*StoreData1 products Description and sku fetched ==  4878\n",
      "*StoreData2 products Description and sku fetched ==  5148\n",
      "*StoreData3 products Description and sku fetched ==  4843\n",
      "*StoreData2 products Description and sku fetched ==  5149\n",
      "*StoreData3 products Description and sku fetched ==  4844\n",
      "*StoreData1 products Description and sku fetched ==  4879\n",
      "*StoreData2 products Description and sku fetched ==  5150\n",
      "*StoreData3 products Description and sku fetched ==  4845\n",
      "*StoreData1 products Description and sku fetched ==  4880\n",
      "*StoreData2 products Description and sku fetched ==  5151\n",
      "*StoreData3 products Description and sku fetched ==  4846\n",
      "*StoreData2 products Description and sku fetched ==  5152\n",
      "*StoreData3 products Description and sku fetched ==  4847\n",
      "*StoreData1 products Description and sku fetched ==  4881\n",
      "*StoreData2 products Description and sku fetched ==  5153\n",
      "*StoreData3 products Description and sku fetched ==  4848\n",
      "*StoreData1 products Description and sku fetched ==  4882\n",
      "*StoreData2 products Description and sku fetched ==  5154\n",
      "*StoreData3 products Description and sku fetched ==  4849\n",
      "*StoreData2 products Description and sku fetched ==  5155\n",
      "*StoreData3 products Description and sku fetched ==  4850\n",
      "*StoreData1 products Description and sku fetched ==  4883\n",
      "*StoreData2 products Description and sku fetched ==  5156\n",
      "*StoreData3 products Description and sku fetched ==  4851\n",
      "*StoreData2 products Description and sku fetched ==  5157\n",
      "*StoreData1 products Description and sku fetched ==  4884\n",
      "*StoreData3 products Description and sku fetched ==  4852\n",
      "*StoreData1 products Description and sku fetched ==  4885\n",
      "*StoreData3 products Description and sku fetched ==  4853\n",
      "*StoreData2 products Description and sku fetched ==  5158\n",
      "*StoreData3 products Description and sku fetched ==  4854\n",
      "*StoreData2 products Description and sku fetched ==  5159\n",
      "*StoreData1 products Description and sku fetched ==  4886\n",
      "*StoreData3 products Description and sku fetched ==  4855\n",
      "*StoreData2 products Description and sku fetched ==  5160\n",
      "*StoreData1 products Description and sku fetched ==  4887\n",
      "*StoreData1 products Description and sku fetched ==  4888\n",
      "*StoreData2 products Description and sku fetched ==  5161\n",
      "*StoreData3 products Description and sku fetched ==  4856\n",
      "*StoreData2 products Description and sku fetched ==  5162\n",
      "*StoreData3 products Description and sku fetched ==  4857\n",
      "*StoreData1 products Description and sku fetched ==  4889\n",
      "*StoreData2 products Description and sku fetched ==  5163\n",
      "*StoreData3 products Description and sku fetched ==  4858\n",
      "*StoreData2 products Description and sku fetched ==  5164\n",
      "*StoreData3 products Description and sku fetched ==  4859\n",
      "*StoreData1 products Description and sku fetched ==  4890\n",
      "*StoreData2 products Description and sku fetched ==  5165\n",
      "*StoreData3 products Description and sku fetched ==  4860\n",
      "*StoreData1 products Description and sku fetched ==  4891\n",
      "*StoreData3 products Description and sku fetched ==  4861\n",
      "*StoreData2 products Description and sku fetched ==  5166\n",
      "*StoreData1 products Description and sku fetched ==  4892\n",
      "*StoreData3 products Description and sku fetched ==  4862\n",
      "*StoreData2 products Description and sku fetched ==  5167\n",
      "*StoreData3 products Description and sku fetched ==  4863\n",
      "*StoreData2 products Description and sku fetched ==  5168\n",
      "*StoreData3 products Description and sku fetched ==  4864\n",
      "*StoreData1 products Description and sku fetched ==  4893\n",
      "*StoreData3 products Description and sku fetched ==  4865\n",
      "*StoreData2 products Description and sku fetched ==  5169\n",
      "*StoreData3 products Description and sku fetched ==  4866\n",
      "*StoreData1 products Description and sku fetched ==  4894\n",
      "*StoreData2 products Description and sku fetched ==  5170\n",
      "*StoreData3 products Description and sku fetched ==  4867\n",
      "*StoreData1 products Description and sku fetched ==  4895\n",
      "*StoreData2 products Description and sku fetched ==  5171\n",
      "*StoreData3 products Description and sku fetched ==  4868\n",
      "*StoreData1 products Description and sku fetched ==  4896\n",
      "*StoreData2 products Description and sku fetched ==  5172\n",
      "*StoreData3 products Description and sku fetched ==  4869\n",
      "*StoreData1 products Description and sku fetched ==  4897\n",
      "*StoreData2 products Description and sku fetched ==  5173\n",
      "*StoreData3 products Description and sku fetched ==  4870\n",
      "*StoreData3 products Description and sku fetched ==  4871\n",
      "*StoreData1 products Description and sku fetched ==  4898\n",
      "*StoreData2 products Description and sku fetched ==  5174\n",
      "*StoreData1 products Description and sku fetched ==  4899\n",
      "*StoreData3 products Description and sku fetched ==  4872\n",
      "*StoreData2 products Description and sku fetched ==  5175\n",
      "*StoreData2 products Description and sku fetched ==  5176\n",
      "*StoreData3 products Description and sku fetched ==  4873\n",
      "*StoreData1 products Description and sku fetched ==  4900\n",
      "*StoreData2 products Description and sku fetched ==  5177\n",
      "*StoreData3 products Description and sku fetched ==  4874\n",
      "*StoreData1 products Description and sku fetched ==  4901\n",
      "*StoreData3 products Description and sku fetched ==  4875\n",
      "*StoreData2 products Description and sku fetched ==  5178\n",
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      "*StoreData2 products Description and sku fetched ==  5179\n",
      "*StoreData3 products Description and sku fetched ==  4876\n",
      "*StoreData1 products Description and sku fetched ==  4904\n",
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      "*StoreData1 products Description and sku fetched ==  4905\n",
      "*StoreData3 products Description and sku fetched ==  4878\n",
      "*StoreData2 products Description and sku fetched ==  5181\n",
      "*StoreData1 products Description and sku fetched ==  4906\n",
      "*StoreData3 products Description and sku fetched ==  4879\n",
      "*StoreData1 products Description and sku fetched ==  4907\n",
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      "*StoreData1 products Description and sku fetched ==  4909\n",
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      "*StoreData3 products Description and sku fetched ==  4890\n",
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      "*StoreData2 products Description and sku fetched ==  5191\n",
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      "*StoreData2 products Description and sku fetched ==  5192\n",
      "*StoreData1 products Description and sku fetched ==  4922\n",
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      "*StoreData1 products Description and sku fetched ==  4925\n",
      "*StoreData2 products Description and sku fetched ==  5194\n",
      "*StoreData3 products Description and sku fetched ==  4895\n",
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      "*StoreData1 products Description and sku fetched ==  4927\n",
      "*StoreData3 products Description and sku fetched ==  4896\n",
      "*StoreData2 products Description and sku fetched ==  5196\n",
      "*StoreData1 products Description and sku fetched ==  4928\n",
      "*StoreData3 products Description and sku fetched ==  4897\n",
      "*StoreData1 products Description and sku fetched ==  4929\n",
      "*StoreData2 products Description and sku fetched ==  5197\n",
      "*StoreData1 products Description and sku fetched ==  4930\n",
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      "*StoreData2 products Description and sku fetched ==  5198\n",
      "*StoreData1 products Description and sku fetched ==  4931\n",
      "*StoreData3 products Description and sku fetched ==  4899\n",
      "*StoreData2 products Description and sku fetched ==  5199\n",
      "*StoreData1 products Description and sku fetched ==  4932\n",
      "*StoreData3 products Description and sku fetched ==  4900\n",
      "*StoreData1 products Description and sku fetched ==  4933\n",
      "*StoreData2 products Description and sku fetched ==  5200\n",
      "*StoreData3 products Description and sku fetched ==  4901\n",
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      "*StoreData3 products Description and sku fetched ==  4902\n",
      "*StoreData1 products Description and sku fetched ==  4935\n",
      "*StoreData2 products Description and sku fetched ==  5202\n",
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      "*StoreData3 products Description and sku fetched ==  4903\n",
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      "*StoreData2 products Description and sku fetched ==  5203\n",
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      "*StoreData1 products Description and sku fetched ==  4941\n",
      "*StoreData3 products Description and sku fetched ==  4907\n",
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      "*StoreData3 products Description and sku fetched ==  4913\n",
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      "*StoreData2 products Description and sku fetched ==  5214\n",
      "*StoreData3 products Description and sku fetched ==  4914\n",
      "*StoreData1 products Description and sku fetched ==  4952\n",
      "*StoreData2 products Description and sku fetched ==  5215\n",
      "*StoreData3 products Description and sku fetched ==  4915\n",
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      "*StoreData2 products Description and sku fetched ==  5217\n",
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      "*StoreData1 products Description and sku fetched ==  4982\n",
      "*StoreData3 products Description and sku fetched ==  4940\n",
      "*StoreData2 products Description and sku fetched ==  5241\n",
      "*StoreData1 products Description and sku fetched ==  4983\n",
      "*StoreData3 products Description and sku fetched ==  4941\n",
      "*StoreData2 products Description and sku fetched ==  5242\n",
      "*StoreData1 products Description and sku fetched ==  4984\n",
      "*StoreData3 products Description and sku fetched ==  4942\n",
      "*StoreData2 products Description and sku fetched ==  5243\n",
      "*StoreData3 products Description and sku fetched ==  4943\n",
      "*StoreData1 products Description and sku fetched ==  4985\n",
      "*StoreData2 products Description and sku fetched ==  5244\n",
      "*StoreData3 products Description and sku fetched ==  4944\n",
      "*StoreData1 products Description and sku fetched ==  4986\n",
      "*StoreData2 products Description and sku fetched ==  5245\n",
      "*StoreData3 products Description and sku fetched ==  4945\n",
      "*StoreData1 products Description and sku fetched ==  4987\n",
      "*StoreData3 products Description and sku fetched ==  4946\n",
      "*StoreData2 products Description and sku fetched ==  5246\n",
      "*StoreData1 products Description and sku fetched ==  4988\n",
      "*StoreData3 products Description and sku fetched ==  4947\n",
      "*StoreData1 products Description and sku fetched ==  4989\n",
      "*StoreData2 products Description and sku fetched ==  5247\n",
      "*StoreData1 products Description and sku fetched ==  4990\n",
      "*StoreData3 products Description and sku fetched ==  4948\n",
      "*StoreData2 products Description and sku fetched ==  5248\n",
      "*StoreData1 products Description and sku fetched ==  4991\n",
      "*StoreData3 products Description and sku fetched ==  4949\n",
      "*StoreData2 products Description and sku fetched ==  5249\n",
      "*StoreData3 products Description and sku fetched ==  4950\n",
      "*StoreData1 products Description and sku fetched ==  4992\n",
      "*StoreData2 products Description and sku fetched ==  5250\n",
      "*StoreData3 products Description and sku fetched ==  4951\n",
      "*StoreData2 products Description and sku fetched ==  5251\n",
      "*StoreData1 products Description and sku fetched ==  4993\n",
      "*StoreData3 products Description and sku fetched ==  4952\n",
      "*StoreData2 products Description and sku fetched ==  5252\n",
      "*StoreData1 products Description and sku fetched ==  4994\n",
      "*StoreData2 products Description and sku fetched ==  5253\n",
      "*StoreData3 products Description and sku fetched ==  4953\n",
      "*StoreData1 products Description and sku fetched ==  4995\n",
      "*StoreData3 products Description and sku fetched ==  4954\n",
      "*StoreData2 products Description and sku fetched ==  5254\n",
      "*StoreData1 products Description and sku fetched ==  4996\n",
      "*StoreData3 products Description and sku fetched ==  4955\n",
      "*StoreData2 products Description and sku fetched ==  5255\n",
      "*StoreData1 products Description and sku fetched ==  4997\n",
      "*StoreData3 products Description and sku fetched ==  4956\n",
      "*StoreData1 products Description and sku fetched ==  4998\n",
      "*StoreData2 products Description and sku fetched ==  5256\n",
      "*StoreData3 products Description and sku fetched ==  4957\n",
      "*StoreData1 products Description and sku fetched ==  4999\n",
      "*StoreData2 products Description and sku fetched ==  5257\n",
      "*StoreData3 products Description and sku fetched ==  4958\n",
      "**************************StoreData1 total products Description and sku fetched ==  5000\n",
      "*StoreData1 products Description and sku fetched ==  5000\n",
      "*StoreData2 products Description and sku fetched ==  5258\n",
      "*StoreData3 products Description and sku fetched ==  4959\n",
      "*StoreData1 products Description and sku fetched ==  5001\n",
      "*StoreData2 products Description and sku fetched ==  5259\n",
      "*StoreData3 products Description and sku fetched ==  4960\n",
      "*StoreData1 products Description and sku fetched ==  5002\n",
      "*StoreData2 products Description and sku fetched ==  5260\n",
      "*StoreData3 products Description and sku fetched ==  4961\n",
      "*StoreData1 products Description and sku fetched ==  5003\n",
      "*StoreData2 products Description and sku fetched ==  5261\n",
      "*StoreData3 products Description and sku fetched ==  4962\n",
      "*StoreData1 products Description and sku fetched ==  5004\n",
      "*StoreData3 products Description and sku fetched ==  4963\n",
      "*StoreData2 products Description and sku fetched ==  5262\n",
      "*StoreData1 products Description and sku fetched ==  5005\n",
      "*StoreData3 products Description and sku fetched ==  4964\n",
      "*StoreData2 products Description and sku fetched ==  5263\n",
      "*StoreData1 products Description and sku fetched ==  5006\n",
      "*StoreData3 products Description and sku fetched ==  4965\n",
      "*StoreData1 products Description and sku fetched ==  5007\n",
      "*StoreData2 products Description and sku fetched ==  5264\n",
      "*StoreData1 products Description and sku fetched ==  5008\n",
      "*StoreData3 products Description and sku fetched ==  4966\n",
      "*StoreData2 products Description and sku fetched ==  5265\n",
      "*StoreData1 products Description and sku fetched ==  5009\n",
      "*StoreData2 products Description and sku fetched ==  5266\n",
      "*StoreData3 products Description and sku fetched ==  4967\n",
      "*StoreData1 products Description and sku fetched ==  5010\n",
      "*StoreData2 products Description and sku fetched ==  5267\n",
      "*StoreData1 products Description and sku fetched ==  5011\n",
      "*StoreData2 products Description and sku fetched ==  5268\n",
      "*StoreData3 products Description and sku fetched ==  4968\n",
      "*StoreData1 products Description and sku fetched ==  5012\n",
      "*StoreData3 products Description and sku fetched ==  4969\n",
      "*StoreData2 products Description and sku fetched ==  5269\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData1 products Description and sku fetched ==  5013\n",
      "*StoreData3 products Description and sku fetched ==  4970\n",
      "*StoreData1 products Description and sku fetched ==  5014\n",
      "*StoreData3 products Description and sku fetched ==  4971\n",
      "*StoreData2 products Description and sku fetched ==  5270\n",
      "*StoreData1 products Description and sku fetched ==  5015\n",
      "*StoreData1 products Description and sku fetched ==  5016\n",
      "*StoreData3 products Description and sku fetched ==  4972\n",
      "*StoreData2 products Description and sku fetched ==  5271\n",
      "*StoreData1 products Description and sku fetched ==  5017\n",
      "*StoreData3 products Description and sku fetched ==  4973\n",
      "*StoreData2 products Description and sku fetched ==  5272\n",
      "*StoreData1 products Description and sku fetched ==  5018\n",
      "*StoreData3 products Description and sku fetched ==  4974\n",
      "*StoreData1 products Description and sku fetched ==  5019\n",
      "*StoreData2 products Description and sku fetched ==  5273\n",
      "*StoreData1 products Description and sku fetched ==  5020\n",
      "*StoreData3 products Description and sku fetched ==  4975\n",
      "*StoreData2 products Description and sku fetched ==  5274\n",
      "*StoreData1 products Description and sku fetched ==  5021\n",
      "*StoreData3 products Description and sku fetched ==  4976\n",
      "*StoreData1 products Description and sku fetched ==  5022\n",
      "*StoreData3 products Description and sku fetched ==  4977\n",
      "*StoreData2 products Description and sku fetched ==  5275\n",
      "*StoreData1 products Description and sku fetched ==  5023\n",
      "*StoreData2 products Description and sku fetched ==  5276\n",
      "*StoreData3 products Description and sku fetched ==  4978\n",
      "*StoreData1 products Description and sku fetched ==  5024\n",
      "*StoreData3 products Description and sku fetched ==  4979\n",
      "*StoreData1 products Description and sku fetched ==  5025\n",
      "*StoreData2 products Description and sku fetched ==  5277\n",
      "*StoreData3 products Description and sku fetched ==  4980\n",
      "*StoreData1 products Description and sku fetched ==  5026\n",
      "*StoreData3 products Description and sku fetched ==  4981\n",
      "*StoreData2 products Description and sku fetched ==  5278\n",
      "*StoreData1 products Description and sku fetched ==  5027\n",
      "*StoreData3 products Description and sku fetched ==  4982\n",
      "*StoreData1 products Description and sku fetched ==  5028\n",
      "*StoreData2 products Description and sku fetched ==  5279\n",
      "*StoreData3 products Description and sku fetched ==  4983\n",
      "*StoreData1 products Description and sku fetched ==  5029\n",
      "*StoreData2 products Description and sku fetched ==  5280\n",
      "*StoreData3 products Description and sku fetched ==  4984\n",
      "*StoreData1 products Description and sku fetched ==  5030\n",
      "*StoreData2 products Description and sku fetched ==  5281\n",
      "*StoreData3 products Description and sku fetched ==  4985\n",
      "*StoreData1 products Description and sku fetched ==  5031\n",
      "*StoreData3 products Description and sku fetched ==  4986\n",
      "*StoreData1 products Description and sku fetched ==  5032\n",
      "*StoreData2 products Description and sku fetched ==  5282\n",
      "*StoreData3 products Description and sku fetched ==  4987\n",
      "*StoreData1 products Description and sku fetched ==  5033\n",
      "*StoreData1 products Description and sku fetched ==  5034\n",
      "*StoreData3 products Description and sku fetched ==  4988\n",
      "*StoreData2 products Description and sku fetched ==  5283\n",
      "*StoreData1 products Description and sku fetched ==  5035\n",
      "*StoreData2 products Description and sku fetched ==  5284\n",
      "*StoreData3 products Description and sku fetched ==  4989\n",
      "*StoreData1 products Description and sku fetched ==  5036\n",
      "*StoreData2 products Description and sku fetched ==  5285\n",
      "*StoreData1 products Description and sku fetched ==  5037\n",
      "*StoreData3 products Description and sku fetched ==  4990\n",
      "*StoreData2 products Description and sku fetched ==  5286\n",
      "*StoreData3 products Description and sku fetched ==  4991\n",
      "*StoreData1 products Description and sku fetched ==  5038\n",
      "*StoreData1 products Description and sku fetched ==  5039\n",
      "*StoreData3 products Description and sku fetched ==  4992\n",
      "*StoreData2 products Description and sku fetched ==  5287\n",
      "*StoreData1 products Description and sku fetched ==  5040\n",
      "*StoreData3 products Description and sku fetched ==  4993\n",
      "*StoreData1 products Description and sku fetched ==  5041\n",
      "*StoreData2 products Description and sku fetched ==  5288\n",
      "*StoreData3 products Description and sku fetched ==  4994\n",
      "*StoreData1 products Description and sku fetched ==  5042\n",
      "*StoreData3 products Description and sku fetched ==  4995\n",
      "*StoreData1 products Description and sku fetched ==  5043\n",
      "*StoreData2 products Description and sku fetched ==  5289\n",
      "*StoreData3 products Description and sku fetched ==  4996\n",
      "*StoreData1 products Description and sku fetched ==  5044\n",
      "*StoreData3 products Description and sku fetched ==  4997\n",
      "*StoreData1 products Description and sku fetched ==  5045\n",
      "*StoreData3 products Description and sku fetched ==  4998\n",
      "*StoreData2 products Description and sku fetched ==  5290\n",
      "*StoreData1 products Description and sku fetched ==  5046\n",
      "*StoreData3 products Description and sku fetched ==  4999\n",
      "*StoreData1 products Description and sku fetched ==  5047\n",
      "*StoreData2 products Description and sku fetched ==  5291\n",
      "***********************StoreData3 total products Description and sku fetched ==  5000\n",
      "*StoreData3 products Description and sku fetched ==  5000\n",
      "*StoreData1 products Description and sku fetched ==  5048\n",
      "*StoreData3 products Description and sku fetched ==  5001\n",
      "*StoreData2 products Description and sku fetched ==  5292\n",
      "*StoreData1 products Description and sku fetched ==  5049\n",
      "*StoreData1 products Description and sku fetched ==  5050\n",
      "*StoreData2 products Description and sku fetched ==  5293\n",
      "*StoreData3 products Description and sku fetched ==  5002\n",
      "*StoreData1 products Description and sku fetched ==  5051\n",
      "*StoreData3 products Description and sku fetched ==  5003\n",
      "*StoreData2 products Description and sku fetched ==  5294\n",
      "*StoreData1 products Description and sku fetched ==  5052\n",
      "*StoreData3 products Description and sku fetched ==  5004\n",
      "*StoreData1 products Description and sku fetched ==  5053\n",
      "*StoreData2 products Description and sku fetched ==  5295\n",
      "*StoreData3 products Description and sku fetched ==  5005\n",
      "*StoreData1 products Description and sku fetched ==  5054\n",
      "*StoreData1 products Description and sku fetched ==  5055\n",
      "*StoreData2 products Description and sku fetched ==  5296\n",
      "*StoreData3 products Description and sku fetched ==  5006\n",
      "*StoreData1 products Description and sku fetched ==  5056\n",
      "*StoreData3 products Description and sku fetched ==  5007\n",
      "*StoreData2 products Description and sku fetched ==  5297\n",
      "*StoreData3 products Description and sku fetched ==  5008\n",
      "*StoreData1 products Description and sku fetched ==  5057\n",
      "*StoreData2 products Description and sku fetched ==  5298\n",
      "*StoreData3 products Description and sku fetched ==  5009\n",
      "*StoreData1 products Description and sku fetched ==  5058\n",
      "*StoreData3 products Description and sku fetched ==  5010\n",
      "*StoreData1 products Description and sku fetched ==  5059\n",
      "*StoreData2 products Description and sku fetched ==  5299\n",
      "*StoreData3 products Description and sku fetched ==  5011\n",
      "*StoreData1 products Description and sku fetched ==  5060\n",
      "*StoreData2 products Description and sku fetched ==  5300\n",
      "*StoreData3 products Description and sku fetched ==  5012\n",
      "*StoreData1 products Description and sku fetched ==  5061\n",
      "*StoreData2 products Description and sku fetched ==  5301\n",
      "*StoreData3 products Description and sku fetched ==  5013\n",
      "*StoreData1 products Description and sku fetched ==  5062\n",
      "*StoreData2 products Description and sku fetched ==  5302\n",
      "*StoreData1 products Description and sku fetched ==  5063\n",
      "*StoreData3 products Description and sku fetched ==  5014\n",
      "*StoreData1 products Description and sku fetched ==  5064\n",
      "*StoreData2 products Description and sku fetched ==  5303\n",
      "*StoreData3 products Description and sku fetched ==  5015\n",
      "*StoreData1 products Description and sku fetched ==  5065\n",
      "*StoreData2 products Description and sku fetched ==  5304\n",
      "*StoreData3 products Description and sku fetched ==  5016\n",
      "*StoreData1 products Description and sku fetched ==  5066\n",
      "*StoreData3 products Description and sku fetched ==  5017\n",
      "*StoreData2 products Description and sku fetched ==  5305\n",
      "*StoreData1 products Description and sku fetched ==  5067\n",
      "*StoreData2 products Description and sku fetched ==  5306\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData1 products Description and sku fetched ==  5068\n",
      "*StoreData3 products Description and sku fetched ==  5018\n",
      "*StoreData2 products Description and sku fetched ==  5307\n",
      "*StoreData1 products Description and sku fetched ==  5069\n",
      "*StoreData2 products Description and sku fetched ==  5308\n",
      "*StoreData1 products Description and sku fetched ==  5070\n",
      "*StoreData3 products Description and sku fetched ==  5019\n",
      "*StoreData3 products Description and sku fetched ==  5020\n",
      "*StoreData1 products Description and sku fetched ==  5071\n",
      "*StoreData2 products Description and sku fetched ==  5309\n",
      "*StoreData1 products Description and sku fetched ==  5072\n",
      "*StoreData3 products Description and sku fetched ==  5021\n",
      "*StoreData2 products Description and sku fetched ==  5310\n",
      "*StoreData1 products Description and sku fetched ==  5073\n",
      "*StoreData3 products Description and sku fetched ==  5022\n",
      "*StoreData2 products Description and sku fetched ==  5311\n",
      "*StoreData1 products Description and sku fetched ==  5074\n",
      "*StoreData1 products Description and sku fetched ==  5075\n",
      "*StoreData2 products Description and sku fetched ==  5312\n",
      "*StoreData3 products Description and sku fetched ==  5023\n",
      "*StoreData1 products Description and sku fetched ==  5076\n",
      "*StoreData2 products Description and sku fetched ==  5313\n",
      "*StoreData1 products Description and sku fetched ==  5077\n",
      "*StoreData3 products Description and sku fetched ==  5024\n",
      "*StoreData1 products Description and sku fetched ==  5078\n",
      "*StoreData2 products Description and sku fetched ==  5314\n",
      "*StoreData3 products Description and sku fetched ==  5025\n",
      "*StoreData1 products Description and sku fetched ==  5079\n",
      "*StoreData3 products Description and sku fetched ==  5026\n",
      "*StoreData1 products Description and sku fetched ==  5080\n",
      "*StoreData2 products Description and sku fetched ==  5315\n",
      "*StoreData1 products Description and sku fetched ==  5081\n",
      "*StoreData2 products Description and sku fetched ==  5316\n",
      "*StoreData3 products Description and sku fetched ==  5027\n",
      "*StoreData1 products Description and sku fetched ==  5082\n",
      "*StoreData2 products Description and sku fetched ==  5317\n",
      "*StoreData1 products Description and sku fetched ==  5083\n",
      "*StoreData3 products Description and sku fetched ==  5028\n",
      "*StoreData1 products Description and sku fetched ==  5084\n",
      "*StoreData3 products Description and sku fetched ==  5029\n",
      "*StoreData2 products Description and sku fetched ==  5318\n",
      "*StoreData1 products Description and sku fetched ==  5085\n",
      "*StoreData3 products Description and sku fetched ==  5030\n",
      "*StoreData2 products Description and sku fetched ==  5319\n",
      "*StoreData1 products Description and sku fetched ==  5086\n",
      "*StoreData3 products Description and sku fetched ==  5031\n",
      "*StoreData2 products Description and sku fetched ==  5320\n",
      "*StoreData1 products Description and sku fetched ==  5087\n",
      "*StoreData3 products Description and sku fetched ==  5032\n",
      "*StoreData2 products Description and sku fetched ==  5321\n",
      "*StoreData1 products Description and sku fetched ==  5088\n",
      "*StoreData3 products Description and sku fetched ==  5033\n",
      "*StoreData1 products Description and sku fetched ==  5089\n",
      "*StoreData2 products Description and sku fetched ==  5322\n",
      "*StoreData3 products Description and sku fetched ==  5034\n",
      "*StoreData1 products Description and sku fetched ==  5090\n",
      "*StoreData3 products Description and sku fetched ==  5035\n",
      "*StoreData3 products Description and sku fetched ==  5036\n",
      "*StoreData1 products Description and sku fetched ==  5091\n",
      "*StoreData2 products Description and sku fetched ==  5323\n",
      "*StoreData1 products Description and sku fetched ==  5092\n",
      "*StoreData3 products Description and sku fetched ==  5037\n",
      "*StoreData2 products Description and sku fetched ==  5324\n",
      "*StoreData1 products Description and sku fetched ==  5093\n",
      "*StoreData3 products Description and sku fetched ==  5038\n",
      "*StoreData2 products Description and sku fetched ==  5325\n",
      "*StoreData1 products Description and sku fetched ==  5094\n",
      "*StoreData3 products Description and sku fetched ==  5039\n",
      "*StoreData2 products Description and sku fetched ==  5326\n",
      "*StoreData1 products Description and sku fetched ==  5095\n",
      "*StoreData2 products Description and sku fetched ==  5327\n",
      "*StoreData3 products Description and sku fetched ==  5040\n",
      "*StoreData1 products Description and sku fetched ==  5096\n",
      "*StoreData2 products Description and sku fetched ==  5328\n",
      "*StoreData1 products Description and sku fetched ==  5097\n",
      "*StoreData3 products Description and sku fetched ==  5041\n",
      "*StoreData2 products Description and sku fetched ==  5329\n",
      "*StoreData1 products Description and sku fetched ==  5098\n",
      "*StoreData3 products Description and sku fetched ==  5042\n",
      "*StoreData1 products Description and sku fetched ==  5099\n",
      "*StoreData3 products Description and sku fetched ==  5043\n",
      "*StoreData2 products Description and sku fetched ==  5330\n",
      "*StoreData3 products Description and sku fetched ==  5044\n",
      "*StoreData1 products Description and sku fetched ==  5100\n",
      "*StoreData3 products Description and sku fetched ==  5045\n",
      "*StoreData1 products Description and sku fetched ==  5101\n",
      "*StoreData2 products Description and sku fetched ==  5331\n",
      "*StoreData1 products Description and sku fetched ==  5102\n",
      "*StoreData2 products Description and sku fetched ==  5332\n",
      "*StoreData3 products Description and sku fetched ==  5046\n",
      "*StoreData1 products Description and sku fetched ==  5103\n",
      "*StoreData2 products Description and sku fetched ==  5333\n",
      "*StoreData3 products Description and sku fetched ==  5047\n",
      "*StoreData1 products Description and sku fetched ==  5104\n",
      "*StoreData3 products Description and sku fetched ==  5048\n",
      "*StoreData2 products Description and sku fetched ==  5334\n",
      "*StoreData1 products Description and sku fetched ==  5105\n",
      "*StoreData2 products Description and sku fetched ==  5335\n",
      "*StoreData3 products Description and sku fetched ==  5049\n",
      "*StoreData1 products Description and sku fetched ==  5106\n",
      "*StoreData2 products Description and sku fetched ==  5336\n",
      "*StoreData3 products Description and sku fetched ==  5050\n",
      "*StoreData1 products Description and sku fetched ==  5107\n",
      "*StoreData3 products Description and sku fetched ==  5051\n",
      "*StoreData2 products Description and sku fetched ==  5337\n",
      "*StoreData1 products Description and sku fetched ==  5108\n",
      "*StoreData3 products Description and sku fetched ==  5052\n",
      "*StoreData1 products Description and sku fetched ==  5109\n",
      "*StoreData2 products Description and sku fetched ==  5338\n",
      "*StoreData3 products Description and sku fetched ==  5053\n",
      "*StoreData1 products Description and sku fetched ==  5110\n",
      "*StoreData2 products Description and sku fetched ==  5339\n",
      "*StoreData3 products Description and sku fetched ==  5054\n",
      "*StoreData1 products Description and sku fetched ==  5111\n",
      "*StoreData2 products Description and sku fetched ==  5340\n",
      "*StoreData3 products Description and sku fetched ==  5055\n",
      "*StoreData1 products Description and sku fetched ==  5112\n",
      "*StoreData2 products Description and sku fetched ==  5341\n",
      "*StoreData1 products Description and sku fetched ==  5113\n",
      "*StoreData3 products Description and sku fetched ==  5056\n",
      "*StoreData3 products Description and sku fetched ==  5057\n",
      "*StoreData1 products Description and sku fetched ==  5114\n",
      "*StoreData2 products Description and sku fetched ==  5342\n",
      "*StoreData3 products Description and sku fetched ==  5058\n",
      "*StoreData1 products Description and sku fetched ==  5115\n",
      "*StoreData2 products Description and sku fetched ==  5343\n",
      "*StoreData1 products Description and sku fetched ==  5116\n",
      "*StoreData3 products Description and sku fetched ==  5059\n",
      "*StoreData2 products Description and sku fetched ==  5344\n",
      "*StoreData1 products Description and sku fetched ==  5117\n",
      "*StoreData3 products Description and sku fetched ==  5060\n",
      "*StoreData2 products Description and sku fetched ==  5345\n",
      "*StoreData1 products Description and sku fetched ==  5118\n",
      "*StoreData3 products Description and sku fetched ==  5061\n",
      "*StoreData2 products Description and sku fetched ==  5346\n",
      "*StoreData1 products Description and sku fetched ==  5119\n",
      "*StoreData3 products Description and sku fetched ==  5062\n",
      "*StoreData2 products Description and sku fetched ==  5347\n",
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      "*StoreData1 products Description and sku fetched ==  5120\n",
      "*StoreData2 products Description and sku fetched ==  5348\n",
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      "*StoreData1 products Description and sku fetched ==  5239\n",
      "*StoreData3 products Description and sku fetched ==  5198\n",
      "*StoreData1 products Description and sku fetched ==  5240\n",
      "*StoreData2 products Description and sku fetched ==  5454\n",
      "*StoreData3 products Description and sku fetched ==  5199\n",
      "*StoreData2 products Description and sku fetched ==  5455\n",
      "*StoreData1 products Description and sku fetched ==  5241\n",
      "*StoreData3 products Description and sku fetched ==  5200\n",
      "*StoreData3 products Description and sku fetched ==  5201\n",
      "*StoreData1 products Description and sku fetched ==  5242\n",
      "*StoreData2 products Description and sku fetched ==  5456\n",
      "*StoreData3 products Description and sku fetched ==  5202\n",
      "*StoreData1 products Description and sku fetched ==  5243\n",
      "*StoreData2 products Description and sku fetched ==  5457\n",
      "*StoreData3 products Description and sku fetched ==  5203\n",
      "*StoreData1 products Description and sku fetched ==  5244\n",
      "*StoreData2 products Description and sku fetched ==  5458\n",
      "*StoreData3 products Description and sku fetched ==  5204\n",
      "*StoreData1 products Description and sku fetched ==  5245\n",
      "*StoreData2 products Description and sku fetched ==  5459\n",
      "*StoreData3 products Description and sku fetched ==  5205\n",
      "*StoreData1 products Description and sku fetched ==  5246\n",
      "*StoreData3 products Description and sku fetched ==  5206\n",
      "*StoreData2 products Description and sku fetched ==  5460\n",
      "*StoreData3 products Description and sku fetched ==  5207\n",
      "*StoreData1 products Description and sku fetched ==  5247\n",
      "*StoreData2 products Description and sku fetched ==  5461\n",
      "*StoreData3 products Description and sku fetched ==  5208\n",
      "*StoreData1 products Description and sku fetched ==  5248\n",
      "*StoreData3 products Description and sku fetched ==  5209\n",
      "*StoreData2 products Description and sku fetched ==  5462\n",
      "*StoreData3 products Description and sku fetched ==  5210\n",
      "*StoreData1 products Description and sku fetched ==  5249\n",
      "*StoreData3 products Description and sku fetched ==  5211\n",
      "*StoreData2 products Description and sku fetched ==  5463\n",
      "*StoreData1 products Description and sku fetched ==  5250\n",
      "*StoreData3 products Description and sku fetched ==  5212\n",
      "*StoreData1 products Description and sku fetched ==  5251\n",
      "*StoreData2 products Description and sku fetched ==  5464\n",
      "*StoreData3 products Description and sku fetched ==  5213\n",
      "*StoreData1 products Description and sku fetched ==  5252\n",
      "*StoreData3 products Description and sku fetched ==  5214\n",
      "*StoreData2 products Description and sku fetched ==  5465\n",
      "*StoreData1 products Description and sku fetched ==  5253\n",
      "*StoreData3 products Description and sku fetched ==  5215\n",
      "*StoreData1 products Description and sku fetched ==  5254\n",
      "*StoreData2 products Description and sku fetched ==  5466\n",
      "*StoreData3 products Description and sku fetched ==  5216\n",
      "*StoreData1 products Description and sku fetched ==  5255\n",
      "*StoreData3 products Description and sku fetched ==  5217\n",
      "*StoreData1 products Description and sku fetched ==  5256\n",
      "*StoreData2 products Description and sku fetched ==  5467\n",
      "*StoreData1 products Description and sku fetched ==  5257\n",
      "*StoreData3 products Description and sku fetched ==  5218\n",
      "*StoreData3 products Description and sku fetched ==  5219\n",
      "*StoreData1 products Description and sku fetched ==  5258\n",
      "*StoreData2 products Description and sku fetched ==  5468\n",
      "*StoreData3 products Description and sku fetched ==  5220\n",
      "*StoreData1 products Description and sku fetched ==  5259\n",
      "*StoreData3 products Description and sku fetched ==  5221\n",
      "*StoreData2 products Description and sku fetched ==  5469\n",
      "*StoreData3 products Description and sku fetched ==  5222\n",
      "*StoreData1 products Description and sku fetched ==  5260\n",
      "*StoreData2 products Description and sku fetched ==  5470\n",
      "*StoreData3 products Description and sku fetched ==  5223\n",
      "*StoreData1 products Description and sku fetched ==  5261\n",
      "*StoreData3 products Description and sku fetched ==  5224\n",
      "*StoreData2 products Description and sku fetched ==  5471\n",
      "*StoreData1 products Description and sku fetched ==  5262\n",
      "*StoreData3 products Description and sku fetched ==  5225\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData2 products Description and sku fetched ==  5472\n",
      "*StoreData1 products Description and sku fetched ==  5263\n",
      "*StoreData3 products Description and sku fetched ==  5226\n",
      "*StoreData2 products Description and sku fetched ==  5473\n",
      "*StoreData3 products Description and sku fetched ==  5227\n",
      "*StoreData1 products Description and sku fetched ==  5264\n",
      "*StoreData3 products Description and sku fetched ==  5228\n",
      "*StoreData2 products Description and sku fetched ==  5474\n",
      "*StoreData1 products Description and sku fetched ==  5265\n",
      "*StoreData3 products Description and sku fetched ==  5229\n",
      "*StoreData1 products Description and sku fetched ==  5266\n",
      "*StoreData3 products Description and sku fetched ==  5230\n",
      "*StoreData2 products Description and sku fetched ==  5475\n",
      "*StoreData1 products Description and sku fetched ==  5267\n",
      "*StoreData3 products Description and sku fetched ==  5231\n",
      "*StoreData1 products Description and sku fetched ==  5268\n",
      "*StoreData2 products Description and sku fetched ==  5476\n",
      "*StoreData1 products Description and sku fetched ==  5269\n",
      "*StoreData3 products Description and sku fetched ==  5232\n",
      "*StoreData2 products Description and sku fetched ==  5477\n",
      "*StoreData1 products Description and sku fetched ==  5270\n",
      "*StoreData3 products Description and sku fetched ==  5233\n",
      "*StoreData1 products Description and sku fetched ==  5271\n",
      "*StoreData2 products Description and sku fetched ==  5478\n",
      "*StoreData3 products Description and sku fetched ==  5234\n",
      "*StoreData1 products Description and sku fetched ==  5272\n",
      "*StoreData3 products Description and sku fetched ==  5235\n",
      "*StoreData2 products Description and sku fetched ==  5479\n",
      "*StoreData1 products Description and sku fetched ==  5273\n",
      "*StoreData1 products Description and sku fetched ==  5274\n",
      "*StoreData3 products Description and sku fetched ==  5236\n",
      "*StoreData2 products Description and sku fetched ==  5480\n",
      "*StoreData3 products Description and sku fetched ==  5237\n",
      "*StoreData1 products Description and sku fetched ==  5275\n",
      "*StoreData2 products Description and sku fetched ==  5481\n",
      "*StoreData1 products Description and sku fetched ==  5276\n",
      "*StoreData3 products Description and sku fetched ==  5238\n",
      "*StoreData2 products Description and sku fetched ==  5482\n",
      "*StoreData1 products Description and sku fetched ==  5277\n",
      "*StoreData3 products Description and sku fetched ==  5239\n",
      "*StoreData2 products Description and sku fetched ==  5483\n",
      "*StoreData1 products Description and sku fetched ==  5278\n",
      "*StoreData3 products Description and sku fetched ==  5240\n",
      "*StoreData2 products Description and sku fetched ==  5484\n",
      "*StoreData1 products Description and sku fetched ==  5279\n",
      "*StoreData3 products Description and sku fetched ==  5241\n",
      "*StoreData2 products Description and sku fetched ==  5485\n",
      "*StoreData1 products Description and sku fetched ==  5280\n",
      "*StoreData2 products Description and sku fetched ==  5486\n",
      "*StoreData1 products Description and sku fetched ==  5281\n",
      "*StoreData3 products Description and sku fetched ==  5242\n",
      "*StoreData2 products Description and sku fetched ==  5487\n",
      "*StoreData3 products Description and sku fetched ==  5243\n",
      "*StoreData1 products Description and sku fetched ==  5282\n",
      "*StoreData2 products Description and sku fetched ==  5488\n",
      "*StoreData3 products Description and sku fetched ==  5244\n",
      "*StoreData1 products Description and sku fetched ==  5283\n",
      "*StoreData2 products Description and sku fetched ==  5489\n",
      "*StoreData3 products Description and sku fetched ==  5245\n",
      "*StoreData3 products Description and sku fetched ==  5246\n",
      "*StoreData1 products Description and sku fetched ==  5284\n",
      "*StoreData2 products Description and sku fetched ==  5490\n",
      "*StoreData3 products Description and sku fetched ==  5247\n",
      "*StoreData1 products Description and sku fetched ==  5285\n",
      "*StoreData2 products Description and sku fetched ==  5491\n",
      "*StoreData3 products Description and sku fetched ==  5248\n",
      "*StoreData1 products Description and sku fetched ==  5286\n",
      "*StoreData3 products Description and sku fetched ==  5249\n",
      "*StoreData2 products Description and sku fetched ==  5492\n",
      "*StoreData1 products Description and sku fetched ==  5287\n",
      "*StoreData3 products Description and sku fetched ==  5250\n",
      "*StoreData2 products Description and sku fetched ==  5493\n",
      "*StoreData1 products Description and sku fetched ==  5288\n",
      "*StoreData3 products Description and sku fetched ==  5251\n",
      "*StoreData2 products Description and sku fetched ==  5494\n",
      "*StoreData1 products Description and sku fetched ==  5289\n",
      "*StoreData3 products Description and sku fetched ==  5252\n",
      "*StoreData2 products Description and sku fetched ==  5495\n",
      "*StoreData1 products Description and sku fetched ==  5290\n",
      "*StoreData2 products Description and sku fetched ==  5496\n",
      "*StoreData3 products Description and sku fetched ==  5253\n",
      "*StoreData2 products Description and sku fetched ==  5497\n",
      "*StoreData1 products Description and sku fetched ==  5291\n",
      "*StoreData3 products Description and sku fetched ==  5254\n",
      "*StoreData1 products Description and sku fetched ==  5292\n",
      "*StoreData2 products Description and sku fetched ==  5498\n",
      "*StoreData3 products Description and sku fetched ==  5255\n",
      "*StoreData1 products Description and sku fetched ==  5293\n",
      "*StoreData2 products Description and sku fetched ==  5499\n",
      "*StoreData1 products Description and sku fetched ==  5294\n",
      "*StoreData3 products Description and sku fetched ==  5256\n",
      "***********************StoreData2 total products Description and sku fetched ==  5500\n",
      "*StoreData2 products Description and sku fetched ==  5500\n",
      "*StoreData1 products Description and sku fetched ==  5295\n",
      "*StoreData3 products Description and sku fetched ==  5257\n",
      "*StoreData1 products Description and sku fetched ==  5296\n",
      "*StoreData2 products Description and sku fetched ==  5501\n",
      "*StoreData3 products Description and sku fetched ==  5258\n",
      "*StoreData1 products Description and sku fetched ==  5297\n",
      "*StoreData2 products Description and sku fetched ==  5502\n",
      "*StoreData1 products Description and sku fetched ==  5298\n",
      "*StoreData3 products Description and sku fetched ==  5259\n",
      "*StoreData2 products Description and sku fetched ==  5503\n",
      "*StoreData1 products Description and sku fetched ==  5299\n",
      "*StoreData3 products Description and sku fetched ==  5260\n",
      "*StoreData2 products Description and sku fetched ==  5504\n",
      "*StoreData3 products Description and sku fetched ==  5261\n",
      "*StoreData1 products Description and sku fetched ==  5300\n",
      "*StoreData2 products Description and sku fetched ==  5505\n",
      "*StoreData3 products Description and sku fetched ==  5262\n",
      "*StoreData1 products Description and sku fetched ==  5301\n",
      "*StoreData3 products Description and sku fetched ==  5263\n",
      "*StoreData2 products Description and sku fetched ==  5506\n",
      "*StoreData3 products Description and sku fetched ==  5264\n",
      "*StoreData2 products Description and sku fetched ==  5507\n",
      "*StoreData1 products Description and sku fetched ==  5302\n",
      "*StoreData3 products Description and sku fetched ==  5265\n",
      "*StoreData2 products Description and sku fetched ==  5508\n",
      "*StoreData1 products Description and sku fetched ==  5303\n",
      "*StoreData2 products Description and sku fetched ==  5509\n",
      "*StoreData3 products Description and sku fetched ==  5266\n",
      "*StoreData1 products Description and sku fetched ==  5304\n",
      "*StoreData3 products Description and sku fetched ==  5267\n",
      "*StoreData1 products Description and sku fetched ==  5305\n",
      "*StoreData2 products Description and sku fetched ==  5510\n",
      "*StoreData3 products Description and sku fetched ==  5268\n",
      "*StoreData1 products Description and sku fetched ==  5306\n",
      "*StoreData2 products Description and sku fetched ==  5511\n",
      "*StoreData3 products Description and sku fetched ==  5269\n",
      "*StoreData1 products Description and sku fetched ==  5307\n",
      "*StoreData2 products Description and sku fetched ==  5512\n",
      "*StoreData3 products Description and sku fetched ==  5270\n",
      "*StoreData1 products Description and sku fetched ==  5308\n",
      "*StoreData2 products Description and sku fetched ==  5513\n",
      "*StoreData3 products Description and sku fetched ==  5271\n",
      "*StoreData1 products Description and sku fetched ==  5309\n",
      "*StoreData3 products Description and sku fetched ==  5272\n",
      "*StoreData2 products Description and sku fetched ==  5514\n",
      "*StoreData1 products Description and sku fetched ==  5310\n",
      "*StoreData3 products Description and sku fetched ==  5273\n",
      "*StoreData2 products Description and sku fetched ==  5515\n",
      "*StoreData1 products Description and sku fetched ==  5311\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData3 products Description and sku fetched ==  5274\n",
      "*StoreData2 products Description and sku fetched ==  5516\n",
      "*StoreData1 products Description and sku fetched ==  5312\n",
      "*StoreData3 products Description and sku fetched ==  5275\n",
      "*StoreData2 products Description and sku fetched ==  5517\n",
      "*StoreData1 products Description and sku fetched ==  5313\n",
      "*StoreData2 products Description and sku fetched ==  5518\n",
      "*StoreData3 products Description and sku fetched ==  5276\n",
      "*StoreData1 products Description and sku fetched ==  5314\n",
      "*StoreData2 products Description and sku fetched ==  5519\n",
      "*StoreData1 products Description and sku fetched ==  5315\n",
      "*StoreData3 products Description and sku fetched ==  5277\n",
      "*StoreData1 products Description and sku fetched ==  5316\n",
      "*StoreData2 products Description and sku fetched ==  5520\n",
      "*StoreData3 products Description and sku fetched ==  5278\n",
      "*StoreData1 products Description and sku fetched ==  5317\n",
      "*StoreData2 products Description and sku fetched ==  5521\n",
      "*StoreData3 products Description and sku fetched ==  5279\n",
      "*StoreData1 products Description and sku fetched ==  5318\n",
      "*StoreData2 products Description and sku fetched ==  5522\n",
      "*StoreData1 products Description and sku fetched ==  5319\n",
      "*StoreData3 products Description and sku fetched ==  5280\n",
      "*StoreData2 products Description and sku fetched ==  5523\n",
      "*StoreData1 products Description and sku fetched ==  5320\n",
      "*StoreData3 products Description and sku fetched ==  5281\n",
      "*StoreData1 products Description and sku fetched ==  5321\n",
      "*StoreData2 products Description and sku fetched ==  5524\n",
      "*StoreData1 products Description and sku fetched ==  5322\n",
      "*StoreData2 products Description and sku fetched ==  5525\n",
      "*StoreData3 products Description and sku fetched ==  5282\n",
      "*StoreData1 products Description and sku fetched ==  5323\n",
      "*StoreData2 products Description and sku fetched ==  5526\n",
      "*StoreData3 products Description and sku fetched ==  5283\n",
      "*StoreData1 products Description and sku fetched ==  5324\n",
      "*StoreData2 products Description and sku fetched ==  5527\n",
      "*StoreData3 products Description and sku fetched ==  5284\n",
      "*StoreData1 products Description and sku fetched ==  5325\n",
      "*StoreData2 products Description and sku fetched ==  5528\n",
      "*StoreData3 products Description and sku fetched ==  5285\n",
      "*StoreData1 products Description and sku fetched ==  5326\n",
      "*StoreData3 products Description and sku fetched ==  5286\n",
      "*StoreData2 products Description and sku fetched ==  5529\n",
      "*StoreData1 products Description and sku fetched ==  5327\n",
      "*StoreData3 products Description and sku fetched ==  5287\n",
      "*StoreData1 products Description and sku fetched ==  5328\n",
      "*StoreData2 products Description and sku fetched ==  5530\n",
      "*StoreData3 products Description and sku fetched ==  5288\n",
      "*StoreData1 products Description and sku fetched ==  5329\n",
      "*StoreData2 products Description and sku fetched ==  5531\n",
      "*StoreData1 products Description and sku fetched ==  5330\n",
      "*StoreData3 products Description and sku fetched ==  5289\n",
      "*StoreData3 products Description and sku fetched ==  5290\n",
      "*StoreData1 products Description and sku fetched ==  5331\n",
      "*StoreData2 products Description and sku fetched ==  5532\n",
      "*StoreData3 products Description and sku fetched ==  5291\n",
      "*StoreData1 products Description and sku fetched ==  5332\n",
      "*StoreData2 products Description and sku fetched ==  5533\n",
      "*StoreData3 products Description and sku fetched ==  5292\n",
      "*StoreData1 products Description and sku fetched ==  5333\n",
      "*StoreData2 products Description and sku fetched ==  5534\n",
      "*StoreData3 products Description and sku fetched ==  5293\n",
      "*StoreData1 products Description and sku fetched ==  5334\n",
      "*StoreData3 products Description and sku fetched ==  5294\n",
      "*StoreData2 products Description and sku fetched ==  5535\n",
      "*StoreData1 products Description and sku fetched ==  5335\n",
      "*StoreData2 products Description and sku fetched ==  5536\n",
      "*StoreData3 products Description and sku fetched ==  5295\n",
      "*StoreData1 products Description and sku fetched ==  5336\n",
      "*StoreData2 products Description and sku fetched ==  5537\n",
      "*StoreData3 products Description and sku fetched ==  5296\n",
      "*StoreData1 products Description and sku fetched ==  5337\n",
      "*StoreData2 products Description and sku fetched ==  5538\n",
      "*StoreData3 products Description and sku fetched ==  5297\n",
      "*StoreData1 products Description and sku fetched ==  5338\n",
      "*StoreData2 products Description and sku fetched ==  5539\n",
      "*StoreData3 products Description and sku fetched ==  5298\n",
      "*StoreData1 products Description and sku fetched ==  5339\n",
      "*StoreData2 products Description and sku fetched ==  5540\n",
      "*StoreData3 products Description and sku fetched ==  5299\n",
      "*StoreData2 products Description and sku fetched ==  5541\n",
      "*StoreData1 products Description and sku fetched ==  5340\n",
      "*StoreData3 products Description and sku fetched ==  5300\n",
      "*StoreData2 products Description and sku fetched ==  5542\n",
      "*StoreData1 products Description and sku fetched ==  5341\n",
      "*StoreData2 products Description and sku fetched ==  5543\n",
      "*StoreData3 products Description and sku fetched ==  5301\n",
      "*StoreData1 products Description and sku fetched ==  5342\n",
      "*StoreData2 products Description and sku fetched ==  5544\n",
      "*StoreData3 products Description and sku fetched ==  5302\n",
      "*StoreData1 products Description and sku fetched ==  5343\n",
      "*StoreData2 products Description and sku fetched ==  5545\n",
      "*StoreData3 products Description and sku fetched ==  5303\n",
      "*StoreData1 products Description and sku fetched ==  5344\n",
      "*StoreData2 products Description and sku fetched ==  5546\n",
      "*StoreData1 products Description and sku fetched ==  5345\n",
      "*StoreData2 products Description and sku fetched ==  5547\n",
      "*StoreData3 products Description and sku fetched ==  5304\n",
      "*StoreData2 products Description and sku fetched ==  5548\n",
      "*StoreData1 products Description and sku fetched ==  5346\n",
      "*StoreData3 products Description and sku fetched ==  5305\n",
      "*StoreData1 products Description and sku fetched ==  5347\n",
      "*StoreData2 products Description and sku fetched ==  5549\n",
      "*StoreData3 products Description and sku fetched ==  5306\n",
      "*StoreData1 products Description and sku fetched ==  5348\n",
      "*StoreData2 products Description and sku fetched ==  5550\n",
      "*StoreData3 products Description and sku fetched ==  5307\n",
      "*StoreData1 products Description and sku fetched ==  5349\n",
      "*StoreData2 products Description and sku fetched ==  5551\n",
      "*StoreData3 products Description and sku fetched ==  5308\n",
      "*StoreData2 products Description and sku fetched ==  5552\n",
      "*StoreData1 products Description and sku fetched ==  5350\n",
      "*StoreData3 products Description and sku fetched ==  5309\n",
      "*StoreData2 products Description and sku fetched ==  5553\n",
      "*StoreData3 products Description and sku fetched ==  5310\n",
      "*StoreData1 products Description and sku fetched ==  5351\n",
      "*StoreData2 products Description and sku fetched ==  5554\n",
      "*StoreData3 products Description and sku fetched ==  5311\n",
      "*StoreData1 products Description and sku fetched ==  5352\n",
      "*StoreData3 products Description and sku fetched ==  5312\n",
      "*StoreData3 products Description and sku fetched ==  5313\n",
      "*StoreData1 products Description and sku fetched ==  5353\n",
      "*StoreData3 products Description and sku fetched ==  5314\n",
      "*StoreData1 products Description and sku fetched ==  5354\n",
      "*StoreData3 products Description and sku fetched ==  5315\n",
      "*StoreData1 products Description and sku fetched ==  5355\n",
      "*StoreData3 products Description and sku fetched ==  5316\n",
      "*StoreData1 products Description and sku fetched ==  5356\n",
      "*StoreData3 products Description and sku fetched ==  5317\n",
      "*StoreData1 products Description and sku fetched ==  5357\n",
      "*StoreData3 products Description and sku fetched ==  5318\n",
      "*StoreData1 products Description and sku fetched ==  5358\n",
      "*StoreData3 products Description and sku fetched ==  5319\n",
      "*StoreData1 products Description and sku fetched ==  5359\n",
      "*StoreData3 products Description and sku fetched ==  5320\n",
      "*StoreData1 products Description and sku fetched ==  5360\n",
      "*StoreData3 products Description and sku fetched ==  5321\n",
      "*StoreData3 products Description and sku fetched ==  5322\n",
      "*StoreData1 products Description and sku fetched ==  5361\n",
      "*StoreData3 products Description and sku fetched ==  5323\n",
      "*StoreData1 products Description and sku fetched ==  5362\n",
      "*StoreData3 products Description and sku fetched ==  5324\n",
      "*StoreData3 products Description and sku fetched ==  5325\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData1 products Description and sku fetched ==  5363\n",
      "*StoreData3 products Description and sku fetched ==  5326\n",
      "*StoreData3 products Description and sku fetched ==  5327\n",
      "*StoreData1 products Description and sku fetched ==  5364\n",
      "*StoreData3 products Description and sku fetched ==  5328\n",
      "*StoreData1 products Description and sku fetched ==  5365\n",
      "*StoreData3 products Description and sku fetched ==  5329\n",
      "*StoreData1 products Description and sku fetched ==  5366\n",
      "*StoreData3 products Description and sku fetched ==  5330\n",
      "*StoreData3 products Description and sku fetched ==  5331\n",
      "*StoreData1 products Description and sku fetched ==  5367\n",
      "*StoreData3 products Description and sku fetched ==  5332\n",
      "*StoreData1 products Description and sku fetched ==  5368\n",
      "*StoreData3 products Description and sku fetched ==  5333\n",
      "*StoreData1 products Description and sku fetched ==  5369\n",
      "*StoreData3 products Description and sku fetched ==  5334\n",
      "*StoreData1 products Description and sku fetched ==  5370\n",
      "*StoreData3 products Description and sku fetched ==  5335\n",
      "*StoreData1 products Description and sku fetched ==  5371\n",
      "*StoreData3 products Description and sku fetched ==  5336\n",
      "*StoreData1 products Description and sku fetched ==  5372\n",
      "*StoreData3 products Description and sku fetched ==  5337\n",
      "*StoreData1 products Description and sku fetched ==  5373\n",
      "*StoreData3 products Description and sku fetched ==  5338\n",
      "*StoreData1 products Description and sku fetched ==  5374\n",
      "*StoreData1 products Description and sku fetched ==  5375\n",
      "*StoreData3 products Description and sku fetched ==  5339\n",
      "*StoreData1 products Description and sku fetched ==  5376\n",
      "*StoreData3 products Description and sku fetched ==  5340\n",
      "*StoreData1 products Description and sku fetched ==  5377\n",
      "*StoreData3 products Description and sku fetched ==  5341\n",
      "*StoreData1 products Description and sku fetched ==  5378\n",
      "*StoreData1 products Description and sku fetched ==  5379\n",
      "*StoreData3 products Description and sku fetched ==  5342\n",
      "*StoreData1 products Description and sku fetched ==  5380\n",
      "*StoreData3 products Description and sku fetched ==  5343\n",
      "*StoreData1 products Description and sku fetched ==  5381\n",
      "*StoreData3 products Description and sku fetched ==  5344\n",
      "*StoreData1 products Description and sku fetched ==  5382\n",
      "*StoreData3 products Description and sku fetched ==  5345\n",
      "*StoreData1 products Description and sku fetched ==  5383\n",
      "*StoreData1 products Description and sku fetched ==  5384\n",
      "*StoreData3 products Description and sku fetched ==  5346\n",
      "*StoreData1 products Description and sku fetched ==  5385\n",
      "*StoreData3 products Description and sku fetched ==  5347\n",
      "*StoreData1 products Description and sku fetched ==  5386\n",
      "*StoreData1 products Description and sku fetched ==  5387\n",
      "*StoreData3 products Description and sku fetched ==  5348\n",
      "*StoreData1 products Description and sku fetched ==  5388\n",
      "*StoreData3 products Description and sku fetched ==  5349\n",
      "*StoreData1 products Description and sku fetched ==  5389\n",
      "*StoreData3 products Description and sku fetched ==  5350\n",
      "*StoreData1 products Description and sku fetched ==  5390\n",
      "*StoreData3 products Description and sku fetched ==  5351\n",
      "*StoreData3 products Description and sku fetched ==  5352\n",
      "*StoreData1 products Description and sku fetched ==  5391\n",
      "*StoreData3 products Description and sku fetched ==  5353\n",
      "*StoreData1 products Description and sku fetched ==  5392\n",
      "*StoreData3 products Description and sku fetched ==  5354\n",
      "*StoreData1 products Description and sku fetched ==  5393\n",
      "*StoreData3 products Description and sku fetched ==  5355\n",
      "*StoreData1 products Description and sku fetched ==  5394\n",
      "*StoreData3 products Description and sku fetched ==  5356\n",
      "*StoreData1 products Description and sku fetched ==  5395\n",
      "*StoreData3 products Description and sku fetched ==  5357\n",
      "*StoreData1 products Description and sku fetched ==  5396\n",
      "*StoreData1 products Description and sku fetched ==  5397\n",
      "*StoreData3 products Description and sku fetched ==  5358\n",
      "*StoreData1 products Description and sku fetched ==  5398\n",
      "*StoreData1 products Description and sku fetched ==  5399\n",
      "*StoreData3 products Description and sku fetched ==  5359\n",
      "*StoreData1 products Description and sku fetched ==  5400\n",
      "*StoreData3 products Description and sku fetched ==  5360\n",
      "*StoreData1 products Description and sku fetched ==  5401\n",
      "*StoreData1 products Description and sku fetched ==  5402\n",
      "*StoreData3 products Description and sku fetched ==  5361\n",
      "*StoreData1 products Description and sku fetched ==  5403\n",
      "*StoreData3 products Description and sku fetched ==  5362\n",
      "*StoreData3 products Description and sku fetched ==  5363\n",
      "*StoreData1 products Description and sku fetched ==  5404\n",
      "*StoreData1 products Description and sku fetched ==  5405\n",
      "*StoreData3 products Description and sku fetched ==  5364\n",
      "*StoreData3 products Description and sku fetched ==  5365\n",
      "*StoreData1 products Description and sku fetched ==  5406\n",
      "*StoreData3 products Description and sku fetched ==  5366\n",
      "*StoreData1 products Description and sku fetched ==  5407\n",
      "*StoreData3 products Description and sku fetched ==  5367\n",
      "*StoreData1 products Description and sku fetched ==  5408\n",
      "*StoreData1 products Description and sku fetched ==  5409\n",
      "*StoreData3 products Description and sku fetched ==  5368\n",
      "*StoreData1 products Description and sku fetched ==  5410\n",
      "*StoreData3 products Description and sku fetched ==  5369\n",
      "*StoreData1 products Description and sku fetched ==  5411\n",
      "*StoreData1 products Description and sku fetched ==  5412\n",
      "*StoreData3 products Description and sku fetched ==  5370\n",
      "*StoreData1 products Description and sku fetched ==  5413\n",
      "*StoreData3 products Description and sku fetched ==  5371\n",
      "*StoreData3 products Description and sku fetched ==  5372\n",
      "*StoreData1 products Description and sku fetched ==  5414\n",
      "*StoreData1 products Description and sku fetched ==  5415\n",
      "*StoreData3 products Description and sku fetched ==  5373\n",
      "*StoreData3 products Description and sku fetched ==  5374\n",
      "*StoreData1 products Description and sku fetched ==  5416\n",
      "*StoreData3 products Description and sku fetched ==  5375\n",
      "*StoreData1 products Description and sku fetched ==  5417\n",
      "*StoreData3 products Description and sku fetched ==  5376\n",
      "*StoreData3 products Description and sku fetched ==  5377\n",
      "*StoreData1 products Description and sku fetched ==  5418\n",
      "*StoreData1 products Description and sku fetched ==  5419\n",
      "*StoreData3 products Description and sku fetched ==  5378\n",
      "*StoreData1 products Description and sku fetched ==  5420\n",
      "*StoreData3 products Description and sku fetched ==  5379\n",
      "*StoreData1 products Description and sku fetched ==  5421\n",
      "*StoreData1 products Description and sku fetched ==  5422\n",
      "*StoreData3 products Description and sku fetched ==  5380\n",
      "*StoreData1 products Description and sku fetched ==  5423\n",
      "*StoreData3 products Description and sku fetched ==  5381\n",
      "*StoreData1 products Description and sku fetched ==  5424\n",
      "*StoreData3 products Description and sku fetched ==  5382\n",
      "*StoreData1 products Description and sku fetched ==  5425\n",
      "*StoreData3 products Description and sku fetched ==  5383\n",
      "*StoreData1 products Description and sku fetched ==  5426\n",
      "*StoreData1 products Description and sku fetched ==  5427\n",
      "*StoreData1 products Description and sku fetched ==  5428\n",
      "*StoreData3 products Description and sku fetched ==  5384\n",
      "*StoreData1 products Description and sku fetched ==  5429\n",
      "*StoreData3 products Description and sku fetched ==  5385\n",
      "*StoreData3 products Description and sku fetched ==  5386\n",
      "*StoreData3 products Description and sku fetched ==  5387\n",
      "*StoreData1 products Description and sku fetched ==  5430\n",
      "*StoreData3 products Description and sku fetched ==  5388\n",
      "*StoreData1 products Description and sku fetched ==  5431\n",
      "*StoreData1 products Description and sku fetched ==  5432\n",
      "*StoreData3 products Description and sku fetched ==  5389\n",
      "*StoreData1 products Description and sku fetched ==  5433\n",
      "*StoreData3 products Description and sku fetched ==  5390\n",
      "*StoreData1 products Description and sku fetched ==  5434\n",
      "*StoreData3 products Description and sku fetched ==  5391\n",
      "*StoreData1 products Description and sku fetched ==  5435\n",
      "*StoreData3 products Description and sku fetched ==  5392\n",
      "*StoreData1 products Description and sku fetched ==  5436\n",
      "*StoreData3 products Description and sku fetched ==  5393\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData1 products Description and sku fetched ==  5437\n",
      "*StoreData1 products Description and sku fetched ==  5438\n",
      "*StoreData3 products Description and sku fetched ==  5394\n",
      "*StoreData1 products Description and sku fetched ==  5439\n",
      "*StoreData1 products Description and sku fetched ==  5440\n",
      "*StoreData1 products Description and sku fetched ==  5441\n",
      "*StoreData1 products Description and sku fetched ==  5442\n",
      "*StoreData3 products Description and sku fetched ==  5395\n",
      "*StoreData1 products Description and sku fetched ==  5443\n",
      "*StoreData1 products Description and sku fetched ==  5444\n",
      "*StoreData1 products Description and sku fetched ==  5445\n",
      "*StoreData3 products Description and sku fetched ==  5396\n",
      "*StoreData1 products Description and sku fetched ==  5446\n",
      "*StoreData1 products Description and sku fetched ==  5447\n",
      "*StoreData1 products Description and sku fetched ==  5448\n",
      "*StoreData3 products Description and sku fetched ==  5397\n",
      "*StoreData1 products Description and sku fetched ==  5449\n",
      "*StoreData3 products Description and sku fetched ==  5398\n",
      "*StoreData1 products Description and sku fetched ==  5450\n",
      "*StoreData1 products Description and sku fetched ==  5451\n",
      "*StoreData3 products Description and sku fetched ==  5399\n",
      "*StoreData1 products Description and sku fetched ==  5452\n",
      "*StoreData3 products Description and sku fetched ==  5400\n",
      "*StoreData1 products Description and sku fetched ==  5453\n",
      "*StoreData1 products Description and sku fetched ==  5454\n",
      "*StoreData3 products Description and sku fetched ==  5401\n",
      "*StoreData1 products Description and sku fetched ==  5455\n",
      "*StoreData3 products Description and sku fetched ==  5402\n",
      "*StoreData1 products Description and sku fetched ==  5456\n",
      "*StoreData1 products Description and sku fetched ==  5457\n",
      "*StoreData3 products Description and sku fetched ==  5403\n",
      "*StoreData1 products Description and sku fetched ==  5458\n",
      "*StoreData1 products Description and sku fetched ==  5459\n",
      "*StoreData3 products Description and sku fetched ==  5404\n",
      "*StoreData1 products Description and sku fetched ==  5460\n",
      "*StoreData3 products Description and sku fetched ==  5405\n",
      "*StoreData1 products Description and sku fetched ==  5461\n",
      "*StoreData3 products Description and sku fetched ==  5406\n",
      "*StoreData1 products Description and sku fetched ==  5462\n",
      "*StoreData1 products Description and sku fetched ==  5463\n",
      "*StoreData3 products Description and sku fetched ==  5407\n",
      "*StoreData1 products Description and sku fetched ==  5464\n",
      "*StoreData3 products Description and sku fetched ==  5408\n",
      "*StoreData1 products Description and sku fetched ==  5465\n",
      "*StoreData3 products Description and sku fetched ==  5409\n",
      "*StoreData1 products Description and sku fetched ==  5466\n",
      "*StoreData3 products Description and sku fetched ==  5410\n",
      "*StoreData1 products Description and sku fetched ==  5467\n",
      "*StoreData3 products Description and sku fetched ==  5411\n",
      "*StoreData1 products Description and sku fetched ==  5468\n",
      "*StoreData3 products Description and sku fetched ==  5412\n",
      "*StoreData1 products Description and sku fetched ==  5469\n",
      "*StoreData1 products Description and sku fetched ==  5470\n",
      "*StoreData3 products Description and sku fetched ==  5413\n",
      "*StoreData3 products Description and sku fetched ==  5414\n",
      "*StoreData1 products Description and sku fetched ==  5471\n",
      "*StoreData1 products Description and sku fetched ==  5472\n",
      "*StoreData3 products Description and sku fetched ==  5415\n",
      "*StoreData1 products Description and sku fetched ==  5473\n",
      "*StoreData1 products Description and sku fetched ==  5474\n",
      "*StoreData3 products Description and sku fetched ==  5416\n",
      "*StoreData1 products Description and sku fetched ==  5475\n",
      "*StoreData1 products Description and sku fetched ==  5476\n",
      "*StoreData3 products Description and sku fetched ==  5417\n",
      "*StoreData1 products Description and sku fetched ==  5477\n",
      "*StoreData1 products Description and sku fetched ==  5478\n",
      "*StoreData3 products Description and sku fetched ==  5418\n",
      "*StoreData1 products Description and sku fetched ==  5479\n",
      "*StoreData3 products Description and sku fetched ==  5419\n",
      "*StoreData1 products Description and sku fetched ==  5480\n",
      "*StoreData3 products Description and sku fetched ==  5420\n",
      "*StoreData1 products Description and sku fetched ==  5481\n",
      "*StoreData3 products Description and sku fetched ==  5421\n",
      "*StoreData1 products Description and sku fetched ==  5482\n",
      "*StoreData3 products Description and sku fetched ==  5422\n",
      "*StoreData1 products Description and sku fetched ==  5483\n",
      "*StoreData3 products Description and sku fetched ==  5423\n",
      "*StoreData1 products Description and sku fetched ==  5484\n",
      "*StoreData3 products Description and sku fetched ==  5424\n",
      "*StoreData1 products Description and sku fetched ==  5485\n",
      "*StoreData3 products Description and sku fetched ==  5425\n",
      "*StoreData3 products Description and sku fetched ==  5426\n",
      "*StoreData1 products Description and sku fetched ==  5486\n",
      "*StoreData1 products Description and sku fetched ==  5487\n",
      "*StoreData3 products Description and sku fetched ==  5427\n",
      "*StoreData3 products Description and sku fetched ==  5428\n",
      "*StoreData1 products Description and sku fetched ==  5488\n",
      "*StoreData3 products Description and sku fetched ==  5429\n",
      "*StoreData1 products Description and sku fetched ==  5489\n",
      "*StoreData3 products Description and sku fetched ==  5430\n",
      "*StoreData3 products Description and sku fetched ==  5431\n",
      "*StoreData1 products Description and sku fetched ==  5490\n",
      "*StoreData3 products Description and sku fetched ==  5432\n",
      "*StoreData1 products Description and sku fetched ==  5491\n",
      "*StoreData3 products Description and sku fetched ==  5433\n",
      "*StoreData1 products Description and sku fetched ==  5492\n",
      "*StoreData3 products Description and sku fetched ==  5434\n",
      "*StoreData1 products Description and sku fetched ==  5493\n",
      "*StoreData3 products Description and sku fetched ==  5435\n",
      "*StoreData3 products Description and sku fetched ==  5436\n",
      "*StoreData1 products Description and sku fetched ==  5494\n",
      "*StoreData1 products Description and sku fetched ==  5495\n",
      "*StoreData3 products Description and sku fetched ==  5437\n",
      "*StoreData1 products Description and sku fetched ==  5496\n",
      "*StoreData3 products Description and sku fetched ==  5438\n",
      "*StoreData3 products Description and sku fetched ==  5439\n",
      "*StoreData1 products Description and sku fetched ==  5497\n",
      "*StoreData1 products Description and sku fetched ==  5498\n",
      "*StoreData3 products Description and sku fetched ==  5440\n",
      "*StoreData1 products Description and sku fetched ==  5499\n",
      "*StoreData3 products Description and sku fetched ==  5441\n",
      "**************************StoreData1 total products Description and sku fetched ==  5500\n",
      "*StoreData1 products Description and sku fetched ==  5500\n",
      "*StoreData1 products Description and sku fetched ==  5501\n",
      "*StoreData3 products Description and sku fetched ==  5442\n",
      "*StoreData1 products Description and sku fetched ==  5502\n",
      "*StoreData1 products Description and sku fetched ==  5503\n",
      "*StoreData3 products Description and sku fetched ==  5443\n",
      "*StoreData1 products Description and sku fetched ==  5504\n",
      "*StoreData3 products Description and sku fetched ==  5444\n",
      "*StoreData1 products Description and sku fetched ==  5505\n",
      "*StoreData3 products Description and sku fetched ==  5445\n",
      "*StoreData1 products Description and sku fetched ==  5506\n",
      "*StoreData3 products Description and sku fetched ==  5446\n",
      "*StoreData1 products Description and sku fetched ==  5507\n",
      "*StoreData1 products Description and sku fetched ==  5508\n",
      "*StoreData3 products Description and sku fetched ==  5447\n",
      "*StoreData1 products Description and sku fetched ==  5509\n",
      "*StoreData3 products Description and sku fetched ==  5448\n",
      "*StoreData3 products Description and sku fetched ==  5449\n",
      "*StoreData1 products Description and sku fetched ==  5510\n",
      "*StoreData3 products Description and sku fetched ==  5450\n",
      "*StoreData1 products Description and sku fetched ==  5511\n",
      "*StoreData3 products Description and sku fetched ==  5451\n",
      "*StoreData1 products Description and sku fetched ==  5512\n",
      "*StoreData3 products Description and sku fetched ==  5452\n",
      "*StoreData1 products Description and sku fetched ==  5513\n",
      "*StoreData3 products Description and sku fetched ==  5453\n",
      "*StoreData1 products Description and sku fetched ==  5514\n",
      "*StoreData3 products Description and sku fetched ==  5454\n",
      "*StoreData1 products Description and sku fetched ==  5515\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*StoreData3 products Description and sku fetched ==  5455\n",
      "*StoreData1 products Description and sku fetched ==  5516\n",
      "*StoreData3 products Description and sku fetched ==  5456\n",
      "*StoreData1 products Description and sku fetched ==  5517\n",
      "*StoreData3 products Description and sku fetched ==  5457\n",
      "*StoreData1 products Description and sku fetched ==  5518\n",
      "*StoreData3 products Description and sku fetched ==  5458\n",
      "*StoreData1 products Description and sku fetched ==  5519\n",
      "*StoreData1 products Description and sku fetched ==  5520\n",
      "*StoreData3 products Description and sku fetched ==  5459\n",
      "*StoreData1 products Description and sku fetched ==  5521\n",
      "*StoreData3 products Description and sku fetched ==  5460\n",
      "*StoreData1 products Description and sku fetched ==  5522\n",
      "*StoreData1 products Description and sku fetched ==  5523\n",
      "*StoreData3 products Description and sku fetched ==  5461\n",
      "*StoreData1 products Description and sku fetched ==  5524\n",
      "*StoreData3 products Description and sku fetched ==  5462\n",
      "*StoreData3 products Description and sku fetched ==  5463\n",
      "*StoreData1 products Description and sku fetched ==  5525\n",
      "*StoreData3 products Description and sku fetched ==  5464\n",
      "*StoreData1 products Description and sku fetched ==  5526\n",
      "*StoreData3 products Description and sku fetched ==  5465\n",
      "*StoreData1 products Description and sku fetched ==  5527\n",
      "*StoreData3 products Description and sku fetched ==  5466\n",
      "*StoreData3 products Description and sku fetched ==  5467\n",
      "*StoreData1 products Description and sku fetched ==  5528\n",
      "*StoreData3 products Description and sku fetched ==  5468\n",
      "*StoreData1 products Description and sku fetched ==  5529\n",
      "*StoreData1 products Description and sku fetched ==  5530\n",
      "*StoreData3 products Description and sku fetched ==  5469\n",
      "*StoreData1 products Description and sku fetched ==  5531\n",
      "*StoreData3 products Description and sku fetched ==  5470\n",
      "*StoreData1 products Description and sku fetched ==  5532\n",
      "*StoreData3 products Description and sku fetched ==  5471\n",
      "*StoreData1 products Description and sku fetched ==  5533\n",
      "*StoreData1 products Description and sku fetched ==  5534\n",
      "*StoreData3 products Description and sku fetched ==  5472\n",
      "*StoreData1 products Description and sku fetched ==  5535\n",
      "*StoreData3 products Description and sku fetched ==  5473\n",
      "*StoreData1 products Description and sku fetched ==  5536\n",
      "*StoreData3 products Description and sku fetched ==  5474\n",
      "*StoreData3 products Description and sku fetched ==  5475\n",
      "*StoreData1 products Description and sku fetched ==  5537\n",
      "*StoreData3 products Description and sku fetched ==  5476\n",
      "*StoreData1 products Description and sku fetched ==  5538\n",
      "*StoreData3 products Description and sku fetched ==  5477\n",
      "*StoreData1 products Description and sku fetched ==  5539\n",
      "*StoreData3 products Description and sku fetched ==  5478\n",
      "*StoreData1 products Description and sku fetched ==  5540\n",
      "*StoreData3 products Description and sku fetched ==  5479\n",
      "*StoreData1 products Description and sku fetched ==  5541\n",
      "*StoreData3 products Description and sku fetched ==  5480\n",
      "*StoreData3 products Description and sku fetched ==  5481\n",
      "*StoreData1 products Description and sku fetched ==  5542\n",
      "*StoreData3 products Description and sku fetched ==  5482\n",
      "*StoreData1 products Description and sku fetched ==  5543\n",
      "*StoreData1 products Description and sku fetched ==  5544\n",
      "*StoreData1 products Description and sku fetched ==  5545\n",
      "*StoreData3 products Description and sku fetched ==  5483\n",
      "*StoreData1 products Description and sku fetched ==  5546\n",
      "*StoreData1 products Description and sku fetched ==  5547\n",
      "*StoreData3 products Description and sku fetched ==  5484\n",
      "*StoreData1 products Description and sku fetched ==  5548\n",
      "*StoreData1 products Description and sku fetched ==  5549\n",
      "*StoreData1 products Description and sku fetched ==  5550\n",
      "*StoreData3 products Description and sku fetched ==  5485\n",
      "*StoreData1 products Description and sku fetched ==  5551\n",
      "*StoreData3 products Description and sku fetched ==  5486\n",
      "*StoreData1 products Description and sku fetched ==  5552\n",
      "*StoreData1 products Description and sku fetched ==  5553\n",
      "*StoreData3 products Description and sku fetched ==  5487\n",
      "*StoreData3 products Description and sku fetched ==  5488\n",
      "*StoreData1 products Description and sku fetched ==  5554\n",
      "*StoreData3 products Description and sku fetched ==  5489\n",
      "*StoreData3 products Description and sku fetched ==  5490\n",
      "*StoreData3 products Description and sku fetched ==  5491\n",
      "*StoreData3 products Description and sku fetched ==  5492\n",
      "*StoreData3 products Description and sku fetched ==  5493\n",
      "*StoreData3 products Description and sku fetched ==  5494\n",
      "*StoreData3 products Description and sku fetched ==  5495\n",
      "*StoreData3 products Description and sku fetched ==  5496\n",
      "*StoreData3 products Description and sku fetched ==  5497\n",
      "*StoreData3 products Description and sku fetched ==  5498\n",
      "*StoreData3 products Description and sku fetched ==  5499\n",
      "***********************StoreData3 total products Description and sku fetched ==  5500\n",
      "*StoreData3 products Description and sku fetched ==  5500\n",
      "*StoreData3 products Description and sku fetched ==  5501\n",
      "*StoreData3 products Description and sku fetched ==  5502\n",
      "*StoreData3 products Description and sku fetched ==  5503\n",
      "*StoreData3 products Description and sku fetched ==  5504\n",
      "*StoreData3 products Description and sku fetched ==  5505\n",
      "*StoreData3 products Description and sku fetched ==  5506\n",
      "*StoreData3 products Description and sku fetched ==  5507\n",
      "*StoreData3 products Description and sku fetched ==  5508\n",
      "*StoreData3 products Description and sku fetched ==  5509\n",
      "*StoreData3 products Description and sku fetched ==  5510\n",
      "*StoreData3 products Description and sku fetched ==  5511\n",
      "*StoreData3 products Description and sku fetched ==  5512\n",
      "*StoreData3 products Description and sku fetched ==  5513\n",
      "*StoreData3 products Description and sku fetched ==  5514\n",
      "*StoreData3 products Description and sku fetched ==  5515\n",
      "*StoreData3 products Description and sku fetched ==  5516\n",
      "*StoreData3 products Description and sku fetched ==  5517\n",
      "*StoreData3 products Description and sku fetched ==  5518\n",
      "*StoreData3 products Description and sku fetched ==  5519\n",
      "*StoreData3 products Description and sku fetched ==  5520\n",
      "*StoreData3 products Description and sku fetched ==  5521\n",
      "*StoreData3 products Description and sku fetched ==  5522\n",
      "*StoreData3 products Description and sku fetched ==  5523\n",
      "*StoreData3 products Description and sku fetched ==  5524\n",
      "*StoreData3 products Description and sku fetched ==  5525\n",
      "*StoreData3 products Description and sku fetched ==  5526\n",
      "*StoreData3 products Description and sku fetched ==  5527\n",
      "*StoreData3 products Description and sku fetched ==  5528\n",
      "*StoreData3 products Description and sku fetched ==  5529\n",
      "*StoreData3 products Description and sku fetched ==  5530\n",
      "*StoreData3 products Description and sku fetched ==  5531\n",
      "*StoreData3 products Description and sku fetched ==  5532\n",
      "*StoreData3 products Description and sku fetched ==  5533\n",
      "*StoreData3 products Description and sku fetched ==  5534\n",
      "*StoreData3 products Description and sku fetched ==  5535\n",
      "*StoreData3 products Description and sku fetched ==  5536\n",
      "*StoreData3 products Description and sku fetched ==  5537\n",
      "*StoreData3 products Description and sku fetched ==  5538\n",
      "*StoreData3 products Description and sku fetched ==  5539\n",
      "*StoreData3 products Description and sku fetched ==  5540\n",
      "*StoreData3 products Description and sku fetched ==  5541\n",
      "*StoreData3 products Description and sku fetched ==  5542\n",
      "*StoreData3 products Description and sku fetched ==  5543\n",
      "*StoreData3 products Description and sku fetched ==  5544\n",
      "*StoreData3 products Description and sku fetched ==  5545\n",
      "*StoreData3 products Description and sku fetched ==  5546\n",
      "*StoreData3 products Description and sku fetched ==  5547\n",
      "*StoreData3 products Description and sku fetched ==  5548\n",
      "*StoreData3 products Description and sku fetched ==  5549\n",
      "*StoreData3 products Description and sku fetched ==  5550\n",
      "*StoreData3 products Description and sku fetched ==  5551\n",
      "*StoreData3 products Description and sku fetched ==  5552\n",
      "*StoreData3 products Description and sku fetched ==  5553\n",
      "*StoreData3 products Description and sku fetched ==  5554\n"
     ]
    }
   ],
   "source": [
    "#wait = WebDriverWait(driver, 1)\n",
    "time.sleep(10)  #Before starting this is time...................\n",
    "\n",
    "count=0\n",
    "count2=0\n",
    "count3=0\n",
    "count4=0\n",
    "# desc2=[]\n",
    "# code2=[]\n",
    "# desc3=[]\n",
    "# code3=[]\n",
    "# desc4=[]\n",
    "# code4=[]\n",
    "# desc=[]\n",
    "# code=[]\n",
    "\n",
    "def storedata():\n",
    "    string = ['<h2> OPIS </a> </h2>', '<h2> SKŁADNIKI </a> </h2>', '<h2> DODATKOWE INFORMACJE </a> </h2>']\n",
    "    global count\n",
    "    for u in Urls[:5554]:\n",
    "        s = \"\"\n",
    "\n",
    "        if(count<4549):\n",
    "            count+=1\n",
    "            continue\n",
    "        driver.get(u)\n",
    "\n",
    "        sku = driver.find_elements_by_class_name('text-muted')[1].text\n",
    "        code.append(sku)\n",
    "        #print(sku)\n",
    "        #time.sleep(1)\n",
    "\n",
    "        scrolle = 0\n",
    "    #     while True:\n",
    "    #         try:\n",
    "    #             butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'OPIS')]\")\n",
    "    #             driver.execute_script(\"arguments[0].click();\", butt)\n",
    "    #             time.sleep(2)\n",
    "    #             butt.click()\n",
    "    #             print('found : OPIS')\n",
    "    #             break\n",
    "    #         except:\n",
    "    #             print(\"Not found\")\n",
    "    #             scrolle+=30\n",
    "    #             if(scrolle == 150):\n",
    "    #                 break\n",
    "    #             driver.execute_script(\"window.scrollTo(0, scrolle);\")\n",
    "    #             time.sleep(2)\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt.click()\n",
    "                #print('found : SKLADNIKI')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle+=120\n",
    "                if(scrolle >=2400):\n",
    "                    scrolle = 240\n",
    "                    break\n",
    "                driver.execute_script(\"window.scrollTo(0, {})\".format(scrolle))\n",
    "                time.sleep(0.5)\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt.click()\n",
    "                #print('found : DODATKOWE')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle+=120\n",
    "                if(scrolle >=2800):\n",
    "                    break\n",
    "                driver.execute_script(\"window.scrollTo(0, {})\".format(scrolle))\n",
    "                time.sleep(0.5)\n",
    "\n",
    "        #time.sleep(1)\n",
    "        e = driver.find_elements_by_class_name('accordion')\n",
    "\n",
    "        for i in e:\n",
    "            if(i.text.find('SKŁADNIKI')== 0 or i.text.find('OPIS')== 0 or i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                if(i.text.find('SKŁADNIKI')== 0):\n",
    "                    #print(string[1])\n",
    "                    s+=string[1]\n",
    "                elif(i.text.find('OPIS')== 0):\n",
    "                    #print(string[0])\n",
    "                    s+=string[0]\n",
    "                elif(i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                    #print(string[2])\n",
    "                    s+=string[2]\n",
    "                f = i.find_element_by_class_name('collapse')\n",
    "                s+=str(f.get_attribute(\"innerHTML\"))\n",
    "\n",
    "        s = s.replace('\\n', \"\")\n",
    "        s = s.replace('\\t', \"\")\n",
    "\n",
    "        desc.append(s)\n",
    "\n",
    "        desc[count] = desc[count].split(\"ADRES PRODUCENTA / DYSTRYBUTORA\")[0]\n",
    "        desc[count] = desc[count].split(\"Kod EAN\")[0]\n",
    "\n",
    "        count+=1\n",
    "        if(count % 500 == 0):\n",
    "            print(\"**************************StoreData1 total products Description and sku fetched == \", count)\n",
    "        \n",
    "        print(\"*StoreData1 products Description and sku fetched == \", count)\n",
    "\n",
    "def storedata2():\n",
    "    string2 = ['<h2> OPIS </a> </h2>', '<h2> SKŁADNIKI </a> </h2>', '<h2> DODATKOWE INFORMACJE </a> </h2>']\n",
    "    global count2\n",
    "    for u2 in Urls[5554:11108]:\n",
    "        s2 = \"\"\n",
    "\n",
    "        if(count2<4859):\n",
    "            count2+=1\n",
    "            continue\n",
    "        driver2.get(u2)\n",
    "\n",
    "        sku2 = driver2.find_elements_by_class_name('text-muted')[1].text\n",
    "        code2.append(sku2)\n",
    "        #print(sku2)\n",
    "        #time.sleep(1)\n",
    "\n",
    "        scrolle2 = 0\n",
    "    #     while True:\n",
    "    #         try:\n",
    "    #             butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'OPIS')]\")\n",
    "    #             driver.execute_script(\"arguments[0].click();\", butt)\n",
    "    #             time.sleep(2)\n",
    "    #             butt.click()\n",
    "    #             print('found : OPIS')\n",
    "    #             break\n",
    "    #         except:\n",
    "    #             print(\"Not found\")\n",
    "    #             scrolle+=30\n",
    "    #             if(scrolle == 150):\n",
    "    #                 break\n",
    "    #             driver.execute_script(\"window.scrollTo(0, scrolle);\")\n",
    "    #             time.sleep(2)\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt2 = driver2.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt2.click()\n",
    "                #print('found : SKLADNIKI')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle2+=120\n",
    "                if(scrolle2 >=2400):\n",
    "                    scrolle2 = 240\n",
    "                    break\n",
    "                driver2.execute_script(\"window.scrollTo(0, {})\".format(scrolle2))\n",
    "                time.sleep(0.5)\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt2 = driver2.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt2.click()\n",
    "                #print('found : DODATKOWE')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle2+=120\n",
    "                if(scrolle2 >=2800):\n",
    "                    break\n",
    "                driver2.execute_script(\"window.scrollTo(0, {})\".format(scrolle2))\n",
    "                time.sleep(0.5)\n",
    "\n",
    "        #time.sleep(1)\n",
    "        e2 = driver2.find_elements_by_class_name('accordion')\n",
    "\n",
    "        for i in e2:\n",
    "            if(i.text.find('SKŁADNIKI')== 0 or i.text.find('OPIS')== 0 or i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                if(i.text.find('SKŁADNIKI')== 0):\n",
    "                    #print(string2[1])\n",
    "                    s2+=string2[1]\n",
    "                elif(i.text.find('OPIS')== 0):\n",
    "                    #print(string2[0])\n",
    "                    s2+=string2[0]\n",
    "                elif(i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                    #print(string2[2])\n",
    "                    s2+=string2[2]\n",
    "                f2 = i.find_element_by_class_name('collapse')\n",
    "                s2+=str(f2.get_attribute(\"innerHTML\"))\n",
    "\n",
    "        s2 = s2.replace('\\n', \"\")\n",
    "        s2 = s2.replace('\\t', \"\")\n",
    "\n",
    "        desc2.append(s2)\n",
    "\n",
    "        desc2[count2] = desc2[count2].split(\"ADRES PRODUCENTA / DYSTRYBUTORA\")[0]\n",
    "        desc2[count2] = desc2[count2].split(\"Kod EAN\")[0]\n",
    "\n",
    "        count2+=1\n",
    "        if(count2 % 500 == 0):\n",
    "            print(\"***********************StoreData2 total products Description and sku fetched == \", count2)\n",
    "        \n",
    "        print(\"*StoreData2 products Description and sku fetched == \", count2)\n",
    "\n",
    "#3rd function for 3rd thread...\n",
    "\n",
    "def storedata3():\n",
    "    string3 = ['<h2> OPIS </a> </h2>', '<h2> SKŁADNIKI </a> </h2>', '<h2> DODATKOWE INFORMACJE </a> </h2>']\n",
    "    global count3\n",
    "    for u3 in Urls[11108:16662]:\n",
    "        s3 = \"\"\n",
    "\n",
    "        if(count3<4517):\n",
    "            count3+=1\n",
    "            continue\n",
    "        driver3.get(u3)\n",
    "\n",
    "        sku3 = driver3.find_elements_by_class_name('text-muted')[1].text\n",
    "        code3.append(sku3)\n",
    "        #print(sku2)\n",
    "        #time.sleep(1)\n",
    "\n",
    "        scrolle3 = 0\n",
    "    #     while True:\n",
    "    #         try:\n",
    "    #             butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'OPIS')]\")\n",
    "    #             driver.execute_script(\"arguments[0].click();\", butt)\n",
    "    #             time.sleep(2)\n",
    "    #             butt.click()\n",
    "    #             print('found : OPIS')\n",
    "    #             break\n",
    "    #         except:\n",
    "    #             print(\"Not found\")\n",
    "    #             scrolle+=30\n",
    "    #             if(scrolle == 150):\n",
    "    #                 break\n",
    "    #             driver.execute_script(\"window.scrollTo(0, scrolle);\")\n",
    "    #             time.sleep(2)\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt3 = driver3.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt3.click()\n",
    "                #print('found : SKLADNIKI')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle3+=120\n",
    "                if(scrolle3 >=2400):\n",
    "                    scrolle3 = 240\n",
    "                    break\n",
    "                driver3.execute_script(\"window.scrollTo(0, {})\".format(scrolle3))\n",
    "                time.sleep(0.5)\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt3 = driver3.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt3.click()\n",
    "                #print('found : DODATKOWE')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle3+=120\n",
    "                if(scrolle3 >=2800):\n",
    "                    break\n",
    "                driver3.execute_script(\"window.scrollTo(0, {})\".format(scrolle3))\n",
    "                time.sleep(0.5)\n",
    "\n",
    "        #time.sleep(1)\n",
    "        e3 = driver3.find_elements_by_class_name('accordion')\n",
    "\n",
    "        for i in e3:\n",
    "            if(i.text.find('SKŁADNIKI')== 0 or i.text.find('OPIS')== 0 or i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                if(i.text.find('SKŁADNIKI')== 0):\n",
    "                    #print(string2[1])\n",
    "                    s3+=string3[1]\n",
    "                elif(i.text.find('OPIS')== 0):\n",
    "                    #print(string2[0])\n",
    "                    s3+=string3[0]\n",
    "                elif(i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                    #print(string2[2])\n",
    "                    s3+=string3[2]\n",
    "                f3 = i.find_element_by_class_name('collapse')\n",
    "                s3+=str(f3.get_attribute(\"innerHTML\"))\n",
    "\n",
    "        s3 = s3.replace('\\n', \"\")\n",
    "        s3 = s3.replace('\\t', \"\")\n",
    "\n",
    "        desc3.append(s3)\n",
    "\n",
    "        desc3[count3] = desc3[count3].split(\"ADRES PRODUCENTA / DYSTRYBUTORA\")[0]\n",
    "        desc3[count3] = desc3[count3].split(\"Kod EAN\")[0]\n",
    "\n",
    "        count3+=1\n",
    "        if(count3 % 500 == 0):\n",
    "            print(\"***********************StoreData3 total products Description and sku fetched == \", count3)\n",
    "        \n",
    "        print(\"*StoreData3 products Description and sku fetched == \", count3)\n",
    "\n",
    "#4th Function for 4th Thread...\n",
    "\n",
    "def storedata4():\n",
    "    string4 = ['<h2> OPIS </a> </h2>', '<h2> SKŁADNIKI </a> </h2>', '<h2> DODATKOWE INFORMACJE </a> </h2>']\n",
    "    global count4\n",
    "    for u4 in Urls[16662:]:\n",
    "        s4 = \"\"\n",
    "\n",
    "        if(count4<5462):\n",
    "            count4+=1\n",
    "            continue\n",
    "        driver4.get(u4)\n",
    "\n",
    "        sku4 = driver4.find_elements_by_class_name('text-muted')[1].text\n",
    "        code4.append(sku4)\n",
    "        #print(sku2)\n",
    "        #time.sleep(1)\n",
    "\n",
    "        scrolle4 = 0\n",
    "    #     while True:\n",
    "    #         try:\n",
    "    #             butt = driver.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'OPIS')]\")\n",
    "    #             driver.execute_script(\"arguments[0].click();\", butt)\n",
    "    #             time.sleep(2)\n",
    "    #             butt.click()\n",
    "    #             print('found : OPIS')\n",
    "    #             break\n",
    "    #         except:\n",
    "    #             print(\"Not found\")\n",
    "    #             scrolle+=30\n",
    "    #             if(scrolle == 150):\n",
    "    #                 break\n",
    "    #             driver.execute_script(\"window.scrollTo(0, scrolle);\")\n",
    "    #             time.sleep(2)\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt4 = driver4.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'SKŁADNIKI')]\")))\n",
    "                butt4.click()\n",
    "                #print('found : SKLADNIKI')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle4+=120\n",
    "                if(scrolle4 >=2400):\n",
    "                    scrolle4 = 240\n",
    "                    break\n",
    "                driver4.execute_script(\"window.scrollTo(0, {})\".format(scrolle4))\n",
    "                time.sleep(0.5)\n",
    "        while True:\n",
    "            try:\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt4 = driver4.find_element_by_xpath(\"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")\n",
    "                #driver.execute_script(\"arguments[0].click();\", butt)\n",
    "                #wait.until(EC.element_to_be_clickable((By.XPATH, \"//div[@class='accordion' and contains(., 'DODATKOWE INFORMACJE')]\")))\n",
    "                butt4.click()\n",
    "                #print('found : DODATKOWE')\n",
    "                break\n",
    "            except:\n",
    "                #print(\"Not found\")\n",
    "                scrolle4+=120\n",
    "                if(scrolle4 >=2800):\n",
    "                    break\n",
    "                driver4.execute_script(\"window.scrollTo(0, {})\".format(scrolle4))\n",
    "                time.sleep(0.5)\n",
    "\n",
    "        #time.sleep(1)\n",
    "        e4 = driver4.find_elements_by_class_name('accordion')\n",
    "\n",
    "        for i in e4:\n",
    "            if(i.text.find('SKŁADNIKI')== 0 or i.text.find('OPIS')== 0 or i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                if(i.text.find('SKŁADNIKI')== 0):\n",
    "                    #print(string2[1])\n",
    "                    s4+=string4[1]\n",
    "                elif(i.text.find('OPIS')== 0):\n",
    "                    #print(string2[0])\n",
    "                    s4+=string4[0]\n",
    "                elif(i.text.find('DODATKOWE INFORMACJE')== 0):\n",
    "                    #print(string2[2])\n",
    "                    s4+=string4[2]\n",
    "                f4 = i.find_element_by_class_name('collapse')\n",
    "                s4+=str(f4.get_attribute(\"innerHTML\"))\n",
    "\n",
    "        s4 = s4.replace('\\n', \"\")\n",
    "        s4 = s4.replace('\\t', \"\")\n",
    "\n",
    "        desc4.append(s4)\n",
    "\n",
    "        desc4[count4] = desc4[count4].split(\"ADRES PRODUCENTA / DYSTRYBUTORA\")[0]\n",
    "        desc4[count4] = desc4[count4].split(\"Kod EAN\")[0]\n",
    "\n",
    "        count4+=1\n",
    "        if(count4 % 500 == 0):\n",
    "            print(\"***********************StoreData4 total products Description and sku fetched == \", count4)\n",
    "        \n",
    "        print(\"*StoreData4 products Description and sku fetched == \", count4)\n",
    "            \n",
    "# with concurrent.futures.ThreadPoolExecutor() as executor:\n",
    "#     f1 = executor.submit(storedata, count)\n",
    "#     f2 = executor.submit(storedata2, count2)\n",
    "    \n",
    "# print(f1.result())\n",
    "# print(f2.result())\n",
    "    \n",
    "browserThread = threading.Thread(target=storedata,)\n",
    "browserThread2 = threading.Thread(target=storedata2,)\n",
    "browserThread3 = threading.Thread(target=storedata3,)\n",
    "browserThread4 = threading.Thread(target=storedata4,)\n",
    "\n",
    "# 4 Threads to scrape Products...\n",
    "browserThread.start()\n",
    "browserThread2.start()\n",
    "browserThread3.start()\n",
    "browserThread4.start()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2262,
   "id": "f25a864d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16662, 5554, 5554)"
      ]
     },
     "execution_count": 2262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(desc), len(code), count  # Function 1 attributes..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2263,
   "id": "a8f0a1b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5554, 5554, 5554)"
      ]
     },
     "execution_count": 2263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(desc2), len(code2), count2 # Function 2 attributes..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2264,
   "id": "36774b9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5554, 5554, 5554)"
      ]
     },
     "execution_count": 2264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(desc3), len(code3), count3 # Function 3 attributes..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2265,
   "id": "cba6aad9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5554, 5554, 5554)"
      ]
     },
     "execution_count": 2265,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(desc4), len(code4), count4 # Function 4 attributes..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2271,
   "id": "e2407ca1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22216, 22216)"
      ]
     },
     "execution_count": 2271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#desc.extend(desc2)\n",
    "# desc.extend(desc3)\n",
    "# desc.extend(desc4)\n",
    "#Final_desc =desc\n",
    "#desc[22215], Urls[22215]\n",
    "#len(desc)\n",
    "#code4[5553]\n",
    "#desc.extend(desc4)\n",
    "#desc.extend(desc3)\n",
    "\n",
    "code.extend(code2)\n",
    "code.extend(code3)\n",
    "code.extend(code4)\n",
    "len(code), len(desc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2255,
   "id": "419def09",
   "metadata": {},
   "outputs": [],
   "source": [
    "# np.save('desc', desc)\n",
    "# np.save('desc2', desc2)\n",
    "# np.save('desc3', desc3)\n",
    "# np.save('desc4', desc4)\n",
    "# desc=[]\n",
    "# desc2=[]\n",
    "# desc3=[]\n",
    "# desc4=[]\n",
    "\n",
    "# desc = np.load('desc.npy', desc)\n",
    "# desc2 = np.load('desc2.npy', desc2)\n",
    "# desc3 = np.load('desc3.npy', desc3)\n",
    "# desc4 = np.load('desc4.npy', desc4)\n",
    "\n",
    "# desc = desc.tolist()\n",
    "# desc2 = desc2.tolist()\n",
    "# desc3 = desc3.tolist()\n",
    "# desc4 = desc4.tolist()\n",
    "# np.save('code', code)\n",
    "# np.save('code2', code2)\n",
    "# np.save('code3', code3)\n",
    "# np.save('code4', code4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2273,
   "id": "0b0409f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# np.save('desc', desc)\n",
    "# np.save('code', code)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1404fb4",
   "metadata": {},
   "source": [
    "# Translation into ukranian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ea79baba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Ласкаво просимо до нашого підручника!'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from deep_translator import GoogleTranslator\n",
    "translator = GoogleTranslator(source='auto', target='uk')\n",
    "translator.translate(\"Welcome to our tutorial!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2dc88d40",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Categtemp = []\n",
    "# Subcategoriestemp = []\n",
    "# Subcategories2temp = []\n",
    "# Typtemp = []\n",
    "# desctemp = []\n",
    "\n",
    "# Categtemp = np.load('Categtemp.npy', Categtemp)\n",
    "# Subcategoriestemp = np.load('Subcategoriestemp.npy', Subcategoriestemp)\n",
    "# Subcategories2temp = np.load('Subcategories2temp.npy', Subcategories2temp)\n",
    "# Typtemp = np.load('Typtemp.npy', Typtemp)\n",
    "# desctemp = np.load('desctemp.npy', desctemp)\n",
    "\n",
    "Categtemp = Categtemp.tolist()\n",
    "Subcategoriestemp = Subcategoriestemp.tolist()\n",
    "Subcategories2temp = Subcategories2temp.tolist()\n",
    "Typtemp = Typtemp.tolist()\n",
    "desctemp = desctemp.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a6a40ee9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "Categtemp = []\n",
    "Subcategoriestemp = []\n",
    "Subcategories2temp = []\n",
    "Typtemp = []\n",
    "desctemp = []\n",
    "temp = \"\"\n",
    "c=0\n",
    "count = 0\n",
    "flag = False\n",
    "\n",
    "for i in range(0, 1400):\n",
    "    \n",
    "    if(c < 0):\n",
    "        c+=1\n",
    "        continue\n",
    "    \n",
    "    while True:\n",
    "        try:\n",
    "            Categtemp.append(translator.translate(Categ[i]))\n",
    "            Subcategoriestemp.append(translator.translate(Subcategories[i]))\n",
    "            Subcategories2temp.append(translator.translate(Subcategories2[i]))\n",
    "            Typtemp.append(translator.translate(Typ[i]))\n",
    "            \n",
    "            if(len(desc[i]) >= 5000):\n",
    "                temp+= translator.translate(desc[i][:len(desc[i])//5])\n",
    "                temp+= translator.translate(desc[i][len(desc[i])//5:len(desc[i])//5 + len(desc[i])//5])\n",
    "                temp+= translator.translate(desc[i][len(desc[i])//5 + len(desc[i])//5: len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5])\n",
    "                temp+= translator.translate(desc[i][len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5: len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5])\n",
    "                temp+= translator.translate(desc[i][len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5:])\n",
    "                desctemp.append(temp)\n",
    "                temp=\"\"\n",
    "            else:\n",
    "                desctemp.append(translator.translate(desc[i]))\n",
    "            \n",
    "            count = 0  \n",
    "#             if(c % 1000 == 0):\n",
    "#                 np.save('Categtemp', Categtemp)\n",
    "#                 np.save('Subcategoriestemp', Subcategoriestemp)\n",
    "#                 np.save('Subcategories2temp', Subcategories2temp)\n",
    "#                 np.save('Typtemp', Typtemp)\n",
    "#                 np.save('desctemp', desctemp)\n",
    "            break\n",
    "        except:\n",
    "            flag = True\n",
    "            break\n",
    "    if(flag == True):\n",
    "        break\n",
    "#     while True:\n",
    "#         try:\n",
    "#             Subcategoriestemp.append(translator.translate(Subcategories[i]))\n",
    "#             break\n",
    "#         except:\n",
    "#             time.sleep(0.25)\n",
    "#     while True:\n",
    "#         try:\n",
    "#             Subcategories2temp.append(translator.translate(Subcategories2[i]))\n",
    "#             break\n",
    "#         except:\n",
    "#             time.sleep(0.25)\n",
    "#     while True:\n",
    "#         try:\n",
    "#             Typtemp.append(translator.translate(Typ[i]))\n",
    "#             break\n",
    "#         except:\n",
    "#             time.sleep(0.25)\n",
    "\n",
    "#     while True:\n",
    "#         try:\n",
    "#             if(len(desc[i]) >= 5000):\n",
    "#                 temp+= translator.translate(desc[i][:len(desc[i])//5])\n",
    "#                 temp+= translator.translate(desc[i][len(desc[i])//5:len(desc[i])//5 + len(desc[i])//5])\n",
    "#                 temp+= translator.translate(desc[i][len(desc[i])//5 + len(desc[i])//5: len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5])\n",
    "#                 temp+= translator.translate(desc[i][len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5: len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5])\n",
    "#                 temp+= translator.translate(desc[i][len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5 + len(desc[i])//5:])\n",
    "#                 desctemp.append(temp)\n",
    "#                 temp=\"\"\n",
    "#             else:\n",
    "#                 desctemp.append(translator.translate(desc[i]))\n",
    "#             break\n",
    "#         except:\n",
    "#             time.sleep(0.25)\n",
    "\n",
    "    if(c % 1000 == 0):\n",
    "        print(\"*******************Translation Thread No. 1 total items Translated************************ : \", c)\n",
    "\n",
    "    c+=1\n",
    "    print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0f693823",
   "metadata": {},
   "outputs": [],
   "source": [
    "Categtemp = Categtemp[:9765]\n",
    "Subcategoriestemp = Subcategoriestemp[:9765]\n",
    "Subcategories2temp = Subcategories2temp[:9765]\n",
    "Typtemp = Typtemp[:9765]\n",
    "desctemp = desctemp[:9765]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b9463059",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 22216, 22216, 22216, 22216, 22216)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c, len(Categtemp), len(Subcategoriestemp), len(Subcategories2temp), len(Typtemp), len(desctemp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f5858c95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('гребінець для волосся іони срібла, 1 шт.',\n",
       " 'гребінець для волосся іони срібла, 1 шт.')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Typtemp[9999], translator.translate(Typtemp[9999])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "7540b4c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('Categtemp', Categtemp)\n",
    "np.save('Subcategoriestemp', Subcategoriestemp)\n",
    "np.save('Subcategories2temp', Subcategories2temp)\n",
    "np.save('Typtemp', Typtemp)\n",
    "np.save('desctemp', desctemp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "aaf3e05a",
   "metadata": {},
   "outputs": [],
   "source": [
    "Categtempf = []\n",
    "Subcategoriestempf = []\n",
    "Subcategories2tempf = []\n",
    "Typtempf = []\n",
    "desctempf = []\n",
    "\n",
    "\n",
    "Categtempf = np.load('Categtempf.npy', Categtempf)\n",
    "Subcategoriestempf = np.load('Subcategoriestempf.npy', Subcategoriestempf)\n",
    "Subcategories2tempf = np.load('Subcategories2tempf.npy', Subcategories2tempf)\n",
    "Typtempf = np.load('Typtempf.npy', Typtempf)\n",
    "desctempf = np.load('desctempf.npy', desctempf)\n",
    "\n",
    "Categtempf = Categtempf.tolist()\n",
    "Subcategoriestempf = Subcategoriestempf.tolist()\n",
    "Subcategories2tempf = Subcategories2tempf.tolist()\n",
    "Typtempf = Typtempf.tolist()\n",
    "desctempf = desctempf.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "9bc28669",
   "metadata": {},
   "outputs": [],
   "source": [
    "Categtemp.extend(Categtempf)\n",
    "Subcategoriestemp.extend(Subcategoriestempf)\n",
    "Subcategories2temp.extend(Subcategories2tempf)\n",
    "Typtemp.extend(Typtempf)\n",
    "desctemp.extend(desctempf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "86814032",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "if (len(Categtemp) == len(Categ)):\n",
    "    print(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "987cf1c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "Nm=[]\n",
    "Bnm=[]\n",
    "code=[]\n",
    "Pr=[]\n",
    "Image_url=[]\n",
    "\n",
    "Nm = np.load('name.npy', Nm)\n",
    "Bnm = np.load('Bname.npy', Bnm)\n",
    "code = np.load('code.npy', code)\n",
    "Pr = np.load('price.npy', Pr)\n",
    "Image_url = np.load('image url.npy', Image_url)\n",
    "\n",
    "Nm = Nm.tolist()\n",
    "Bnm = Bnm.tolist()\n",
    "code = code.tolist()\n",
    "Pr = Pr.tolist()\n",
    "Image_url = Image_url.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "8ca68ac0",
   "metadata": {},
   "outputs": [],
   "source": [
    "products=pd.DataFrame(zip(code, Categtemp, Subcategoriestemp, Subcategories2temp, Bnm, Nm, Typtemp, desctemp, Pr, Image_url),\n",
    "               columns =['SKU', 'Category', 'Sub-Category1', 'Sub-Category2', 'Brand', 'Name', 'Type', 'Description', 'price', 'Image Url'])\n",
    "products.to_csv(\"sample2.csv\", index=False, encoding='utf-8-sig')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "77641230",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SKU</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category1</th>\n",
       "      <th>Sub-Category2</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>price</th>\n",
       "      <th>Image Url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>nr kat. 218924</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>MIXA</td>\n",
       "      <td>Przeciw Niedoskonałościom</td>\n",
       "      <td>Mixa Micellar Water Against Blemishes Міцелярн...</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>28,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>nr kat. 408263</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>GARNIER</td>\n",
       "      <td>Czysta Skóra</td>\n",
       "      <td>міцелярна рідина в гелі з вугіллям, 400 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>26,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>nr kat. 378232</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>FACEBOOM</td>\n",
       "      <td>Seboom</td>\n",
       "      <td>матуюча міцелярна вода, 500 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>26,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>nr kat. 228064</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>TOŁPA</td>\n",
       "      <td>dermo face sebio</td>\n",
       "      <td>нормалізуюча міцелярка для обличчя, 400 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>32,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>nr kat. 390471</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>BIELENDA</td>\n",
       "      <td>Blue Matcha</td>\n",
       "      <td>міцелярна вода для зняття макіяжу, 200 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>21,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22211</th>\n",
       "      <td>nr kat. 401467</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>LED підвіска для домашнього улюбленця, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>10,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22212</th>\n",
       "      <td>nr kat. 408341</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>лопатка для лотка, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>6,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22213</th>\n",
       "      <td>nr kat. 401480</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>миска керамічна, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>34,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22214</th>\n",
       "      <td>nr kat. 408342</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>миска з нержавіючої сталі, протиковзка, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>22,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22215</th>\n",
       "      <td>nr kat. 269477</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>WINSTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>мішки для калу 4х20 шт.</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;Мішки для збору собачих...</td>\n",
       "      <td>7,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22216 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  SKU         Category               Sub-Category1  \\\n",
       "0      nr kat. 218924          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "1      nr kat. 408263          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "2      nr kat. 378232          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "3      nr kat. 228064          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "4      nr kat. 390471          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "...               ...              ...                         ...   \n",
       "22211  nr kat. 401467  Домашні тварини                  Для собаки   \n",
       "22212  nr kat. 408341  Домашні тварини                  Для собаки   \n",
       "22213  nr kat. 401480  Домашні тварини                  Для собаки   \n",
       "22214  nr kat. 408342  Домашні тварини                  Для собаки   \n",
       "22215  nr kat. 269477  Домашні тварини                  Для собаки   \n",
       "\n",
       "             Sub-Category2      Brand                        Name  \\\n",
       "0         Міцелярні рідини      MIXA   Przeciw Niedoskonałościom    \n",
       "1         Міцелярні рідини   GARNIER                Czysta Skóra    \n",
       "2         Міцелярні рідини  FACEBOOM                      Seboom    \n",
       "3         Міцелярні рідини     TOŁPA            dermo face sebio    \n",
       "4         Міцелярні рідини  BIELENDA                 Blue Matcha    \n",
       "...                    ...        ...                         ...   \n",
       "22211  Аксесуари для собак      ELOY                        Pets    \n",
       "22212  Аксесуари для собак      ELOY                        Pets    \n",
       "22213  Аксесуари для собак      ELOY                        Pets    \n",
       "22214  Аксесуари для собак      ELOY                        Pets    \n",
       "22215  Аксесуари для собак   WINSTON                          NaN   \n",
       "\n",
       "                                                    Type  \\\n",
       "0      Mixa Micellar Water Against Blemishes Міцелярн...   \n",
       "1             міцелярна рідина в гелі з вугіллям, 400 мл   \n",
       "2                         матуюча міцелярна вода, 500 мл   \n",
       "3             нормалізуюча міцелярка для обличчя, 400 мл   \n",
       "4              міцелярна вода для зняття макіяжу, 200 мл   \n",
       "...                                                  ...   \n",
       "22211       LED підвіска для домашнього улюбленця, 1 шт.   \n",
       "22212                           лопатка для лотка, 1 шт.   \n",
       "22213                             миска керамічна, 1 шт.   \n",
       "22214      миска з нержавіючої сталі, протиковзка, 1 шт.   \n",
       "22215                            мішки для калу 4х20 шт.   \n",
       "\n",
       "                                             Description     price  \\\n",
       "0      <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  28,99 zł   \n",
       "1      <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  26,99 zł   \n",
       "2      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  26,99 zł   \n",
       "3      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  32,99 zł   \n",
       "4      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  21,99 zł   \n",
       "...                                                  ...       ...   \n",
       "22211  <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  10,99 zł   \n",
       "22212  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...   6,99 zł   \n",
       "22213  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  34,99 zł   \n",
       "22214  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  22,99 zł   \n",
       "22215  <h2> ОПИС </a> </h2><p>Мішки для збору собачих...   7,99 zł   \n",
       "\n",
       "                                               Image Url  \n",
       "0      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "1      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "3      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "4      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "...                                                  ...  \n",
       "22211  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22212  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22213  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22214  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22215  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "\n",
       "[22216 rows x 10 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"sample2.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4d5e6760",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "code = df['SKU'].str.split(expand=True)[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "082d3671",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        218924\n",
       "1        408263\n",
       "2        378232\n",
       "3        228064\n",
       "4        390471\n",
       "          ...  \n",
       "22211    401467\n",
       "22212    408341\n",
       "22213    401480\n",
       "22214    408342\n",
       "22215    269477\n",
       "Name: 2, Length: 22216, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3574d313",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SKU</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category1</th>\n",
       "      <th>Sub-Category2</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>price</th>\n",
       "      <th>Image Url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>218924</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>MIXA</td>\n",
       "      <td>Przeciw Niedoskonałościom</td>\n",
       "      <td>Mixa Micellar Water Against Blemishes Міцелярн...</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>28,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>408263</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>GARNIER</td>\n",
       "      <td>Czysta Skóra</td>\n",
       "      <td>міцелярна рідина в гелі з вугіллям, 400 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>26,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>378232</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>FACEBOOM</td>\n",
       "      <td>Seboom</td>\n",
       "      <td>матуюча міцелярна вода, 500 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>26,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>228064</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>TOŁPA</td>\n",
       "      <td>dermo face sebio</td>\n",
       "      <td>нормалізуюча міцелярка для обличчя, 400 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>32,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>390471</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>BIELENDA</td>\n",
       "      <td>Blue Matcha</td>\n",
       "      <td>міцелярна вода для зняття макіяжу, 200 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>21,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22211</th>\n",
       "      <td>401467</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>LED підвіска для домашнього улюбленця, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>10,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22212</th>\n",
       "      <td>408341</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>лопатка для лотка, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>6,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22213</th>\n",
       "      <td>401480</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>миска керамічна, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>34,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22214</th>\n",
       "      <td>408342</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>миска з нержавіючої сталі, протиковзка, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>22,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22215</th>\n",
       "      <td>269477</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>WINSTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>мішки для калу 4х20 шт.</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;Мішки для збору собачих...</td>\n",
       "      <td>7,99 zł</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22216 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          SKU         Category               Sub-Category1  \\\n",
       "0      218924          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "1      408263          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "2      378232          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "3      228064          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "4      390471          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "...       ...              ...                         ...   \n",
       "22211  401467  Домашні тварини                  Для собаки   \n",
       "22212  408341  Домашні тварини                  Для собаки   \n",
       "22213  401480  Домашні тварини                  Для собаки   \n",
       "22214  408342  Домашні тварини                  Для собаки   \n",
       "22215  269477  Домашні тварини                  Для собаки   \n",
       "\n",
       "             Sub-Category2      Brand                        Name  \\\n",
       "0         Міцелярні рідини      MIXA   Przeciw Niedoskonałościom    \n",
       "1         Міцелярні рідини   GARNIER                Czysta Skóra    \n",
       "2         Міцелярні рідини  FACEBOOM                      Seboom    \n",
       "3         Міцелярні рідини     TOŁPA            dermo face sebio    \n",
       "4         Міцелярні рідини  BIELENDA                 Blue Matcha    \n",
       "...                    ...        ...                         ...   \n",
       "22211  Аксесуари для собак      ELOY                        Pets    \n",
       "22212  Аксесуари для собак      ELOY                        Pets    \n",
       "22213  Аксесуари для собак      ELOY                        Pets    \n",
       "22214  Аксесуари для собак      ELOY                        Pets    \n",
       "22215  Аксесуари для собак   WINSTON                          NaN   \n",
       "\n",
       "                                                    Type  \\\n",
       "0      Mixa Micellar Water Against Blemishes Міцелярн...   \n",
       "1             міцелярна рідина в гелі з вугіллям, 400 мл   \n",
       "2                         матуюча міцелярна вода, 500 мл   \n",
       "3             нормалізуюча міцелярка для обличчя, 400 мл   \n",
       "4              міцелярна вода для зняття макіяжу, 200 мл   \n",
       "...                                                  ...   \n",
       "22211       LED підвіска для домашнього улюбленця, 1 шт.   \n",
       "22212                           лопатка для лотка, 1 шт.   \n",
       "22213                             миска керамічна, 1 шт.   \n",
       "22214      миска з нержавіючої сталі, протиковзка, 1 шт.   \n",
       "22215                            мішки для калу 4х20 шт.   \n",
       "\n",
       "                                             Description     price  \\\n",
       "0      <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  28,99 zł   \n",
       "1      <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  26,99 zł   \n",
       "2      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  26,99 zł   \n",
       "3      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  32,99 zł   \n",
       "4      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  21,99 zł   \n",
       "...                                                  ...       ...   \n",
       "22211  <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  10,99 zł   \n",
       "22212  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...   6,99 zł   \n",
       "22213  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  34,99 zł   \n",
       "22214  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  22,99 zł   \n",
       "22215  <h2> ОПИС </a> </h2><p>Мішки для збору собачих...   7,99 zł   \n",
       "\n",
       "                                               Image Url  \n",
       "0      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "1      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "3      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "4      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "...                                                  ...  \n",
       "22211  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22212  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22213  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22214  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22215  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "\n",
       "[22216 rows x 10 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['SKU'] = code\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6b010a8",
   "metadata": {},
   "source": [
    "Price Adjustment dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a70a7cb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['price'] = df['price'].str.split(expand = True)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f504e750",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        28,99\n",
       "1        26,99\n",
       "2        26,99\n",
       "3        32,99\n",
       "4        21,99\n",
       "         ...  \n",
       "22211    10,99\n",
       "22212     6,99\n",
       "22213    34,99\n",
       "22214    22,99\n",
       "22215     7,99\n",
       "Name: price, Length: 22216, dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "63bbd47e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22216"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['Name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "194fe80c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Mixa Micellar Water Against Blemishes Міцелярн...\n",
       "1           міцелярна рідина в гелі з вугіллям, 400 мл\n",
       "2                       матуюча міцелярна вода, 500 мл\n",
       "3           нормалізуюча міцелярка для обличчя, 400 мл\n",
       "4            міцелярна вода для зняття макіяжу, 200 мл\n",
       "5    Міцелярна вода 3в1 для жирної шкіри, схильної ...\n",
       "6    гіалуроновий міцелярний гель для зняття макіяж...\n",
       "Name: Type, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Type\"].head(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d22f27b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://www.rossmann.pl/Produkt/Plyny-micelarne/Janda-hialuronowy-zel-micelarny-do-demakijazu-i-mycia-twarzy-oraz-oczu-400-ml,322677,8770'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Urls = []\n",
    "import numpy as np\n",
    "Urls = np.load('Urls.npy', Urls)\n",
    "Urls = Urls.tolist()\n",
    "Urls[6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b2544db7",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Iters :  400\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  1000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  1200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  1400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  1600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  1800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  2000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  2200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  2400\n",
      "no Name\n",
      "Iters :  2600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  2800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  3000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iters :  3200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  3400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  3600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  3800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  4000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  4200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  4400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  4600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  4800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  5000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  5200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  5400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  5600\n",
      "no Name\n",
      "Iters :  5800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  6000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  6200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  6400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  6600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  6800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  7000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  7200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  7400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  7600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  7800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  8000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  8200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  8400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  8600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  8800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  9000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  9200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  9400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  9600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  9800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  10000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  10200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  10400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  10600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  10800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  11000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  11200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  11400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  11600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  11800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  12000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  12200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  12400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  12600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  12800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  13000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  13200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  13400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  13600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  13800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  14000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  14200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  14400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  14600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  14800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  15000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  15200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  15400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  15600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  15800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  16000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  16200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  16400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  16600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  16800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  17000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  17200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  17400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  17600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  17800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  18000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  18200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  18400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  18600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  18800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  19000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  19200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  19400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  19600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  19800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  20000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  20200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  20400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  20600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  20800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  21000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  21200\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  21400\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  21600\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
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      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  21800\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  22000\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "no Name\n",
      "Iters :  22200\n",
      "no Name\n"
     ]
    }
   ],
   "source": [
    "from deep_translator import GoogleTranslator\n",
    "#import translators as ts\n",
    "translator = GoogleTranslator(source='auto', target='en')\n",
    "count = 0\n",
    "#translator.translate(\"Welcome to our tutorial!\")\n",
    "for i in range(len(df['Name'])):\n",
    "    try:\n",
    "        df['Name'].iloc[i] = translator.translate(df['Name'].iloc[i])\n",
    "    except:\n",
    "        print(\"no Name\")\n",
    "    if(count % 200 == 0):\n",
    "        print(\"Iters : \", count)\n",
    "    count+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3dda57c",
   "metadata": {},
   "source": [
    "Removing all whitespaces after < and before > in descriptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "86bc4ced",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6130\n",
      "13669\n",
      "13739\n",
      "14047\n",
      "19810\n",
      "20532\n",
      "20980\n"
     ]
    }
   ],
   "source": [
    "count = 0\n",
    "for i in range(len(df['Description'])):\n",
    "    try:\n",
    "        a = df['Description'].iloc[i].replace(\"< \", \"<\")\n",
    "        #print(a)\n",
    "        a = a.replace(\" >\", \">\")\n",
    "        df['Description'].iloc[i] = a\n",
    "    except:\n",
    "        print(count)\n",
    "    count+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "70459b6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<h2> OPIS </a> </h2><p><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\"><title></title><style type =\"text/css\">.cs2654AE3A{text-align:left;text-indent:0pt;margin:0pt 0pt 0pt 0pt}.csC8F6D76{color:#000000;background-color:transparent;font-family:Calibri;font -size:11pt;font-weight:normal;font-style:normal;}</style><p class=\"cs2654AE3A\"><span class=\"csC8F6D76\">Łopatka do kuwety. 1 sztuka.</span></p></p><h2> SKŁADNIKI </a> </h2><p><meta http-equiv=\"Content-Type\" content=\"text/html; charset= utf-8\"><title></title><style type=\"text/css\">.cs2654AE3A{text-align:left;text-indent:0pt;margin:0pt 0pt 0pt 0pt}.csC8F6D76{color:# 000000;background-color:transparent;font-family:Calibri;font-size:11pt;font-weight:normal;font-style:normal;}</style><p class=\"cs2654AE3A\"><span class=\" csC8F6D76\">brak danych</span></p></p><h2> DODATKOWE INFORMACJE </a> </h2><div><b>PRZYGOTOWANIE I STOSOWANIE</b><p><meta http- equiv=\"Content-Type\" content=\"text/html; charset=utf-8\"><title></title><style type=\"text/css\">.cs2654AE3A{text-align:left;text-indent :0pt;margin:0pt 0pt 0pt 0pt}.csC8F6D76{color:#000000;background-color:transparent;font-family:Calibri;font-size:11pt;font-weight:normal;font-style:normal;}< /style><p class=\"cs2654AE3A\"><span class=\"csC8F6D76\">brak danych</span></p></p></div><div><b>OSTRZEŻENIA DOTYCZĄCE BEZPIECZEŃSTWA</b> <p><meta http-equiv=\"Content-Type\" content=\"text/html ; char set=utf-8\"><title></title><style type=\"text/css\">.cs2654AE3A{text-align:left;text-indent:0pt;margin:0pt 0pt 0pt 0pt}.csC8F6D76{ колір :#000000;background-color:transparent;font-family:Calibri;font-size:11pt;font-weight:normal;font-style:normal;}</style><p class=\"cs2654AE3A\"><span class=\"csC8F6D76\">Produkt nie jest zabawką.</span></p></p></div><div><b>'"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "translator.translate(df['Description'].iloc[22212])\n",
    "#Urls[22212]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "977c77aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"RossmannProducts.csv\", index=False, encoding='utf-8-sig')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d97561c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SKU</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category1</th>\n",
       "      <th>Sub-Category2</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>price</th>\n",
       "      <th>Image Url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>218924</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>MIXA</td>\n",
       "      <td>Against Imperfections</td>\n",
       "      <td>Mixa Micellar Water Against Blemishes Міцелярн...</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>28,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>408263</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>GARNIER</td>\n",
       "      <td>Pure Skin</td>\n",
       "      <td>міцелярна рідина в гелі з вугіллям, 400 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>26,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>378232</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>FACEBOOM</td>\n",
       "      <td>Seboom</td>\n",
       "      <td>матуюча міцелярна вода, 500 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>26,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>228064</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>TOŁPA</td>\n",
       "      <td>dermo face sebio</td>\n",
       "      <td>нормалізуюча міцелярка для обличчя, 400 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>32,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>390471</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Міцелярні рідини</td>\n",
       "      <td>BIELENDA</td>\n",
       "      <td>Blue Matcha</td>\n",
       "      <td>міцелярна вода для зняття макіяжу, 200 мл</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/css\"&gt;...</td>\n",
       "      <td>21,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22211</th>\n",
       "      <td>401467</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>LED підвіска для домашнього улюбленця, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>10,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22212</th>\n",
       "      <td>408341</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>лопатка для лотка, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>6,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22213</th>\n",
       "      <td>401480</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>миска керамічна, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>34,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22214</th>\n",
       "      <td>408342</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>ELOY</td>\n",
       "      <td>Pets</td>\n",
       "      <td>миска з нержавіючої сталі, протиковзка, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>22,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22215</th>\n",
       "      <td>269477</td>\n",
       "      <td>Домашні тварини</td>\n",
       "      <td>Для собаки</td>\n",
       "      <td>Аксесуари для собак</td>\n",
       "      <td>WINSTON</td>\n",
       "      <td>NaN</td>\n",
       "      <td>мішки для калу 4х20 шт.</td>\n",
       "      <td>&lt;h2&gt; ОПИС &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;Мішки для збору собачих...</td>\n",
       "      <td>7,99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22216 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          SKU         Category               Sub-Category1  \\\n",
       "0      218924          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "1      408263          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "2      378232          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "3      228064          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "4      390471          Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "...       ...              ...                         ...   \n",
       "22211  401467  Домашні тварини                  Для собаки   \n",
       "22212  408341  Домашні тварини                  Для собаки   \n",
       "22213  401480  Домашні тварини                  Для собаки   \n",
       "22214  408342  Домашні тварини                  Для собаки   \n",
       "22215  269477  Домашні тварини                  Для собаки   \n",
       "\n",
       "             Sub-Category2      Brand                   Name  \\\n",
       "0         Міцелярні рідини      MIXA   Against Imperfections   \n",
       "1         Міцелярні рідини   GARNIER               Pure Skin   \n",
       "2         Міцелярні рідини  FACEBOOM                  Seboom   \n",
       "3         Міцелярні рідини     TOŁPA        dermo face sebio   \n",
       "4         Міцелярні рідини  BIELENDA             Blue Matcha   \n",
       "...                    ...        ...                    ...   \n",
       "22211  Аксесуари для собак      ELOY                    Pets   \n",
       "22212  Аксесуари для собак      ELOY                    Pets   \n",
       "22213  Аксесуари для собак      ELOY                    Pets   \n",
       "22214  Аксесуари для собак      ELOY                    Pets   \n",
       "22215  Аксесуари для собак   WINSTON                     NaN   \n",
       "\n",
       "                                                    Type  \\\n",
       "0      Mixa Micellar Water Against Blemishes Міцелярн...   \n",
       "1             міцелярна рідина в гелі з вугіллям, 400 мл   \n",
       "2                         матуюча міцелярна вода, 500 мл   \n",
       "3             нормалізуюча міцелярка для обличчя, 400 мл   \n",
       "4              міцелярна вода для зняття макіяжу, 200 мл   \n",
       "...                                                  ...   \n",
       "22211       LED підвіска для домашнього улюбленця, 1 шт.   \n",
       "22212                           лопатка для лотка, 1 шт.   \n",
       "22213                             миска керамічна, 1 шт.   \n",
       "22214      миска з нержавіючої сталі, протиковзка, 1 шт.   \n",
       "22215                            мішки для калу 4х20 шт.   \n",
       "\n",
       "                                             Description  price  \\\n",
       "0      <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  28,99   \n",
       "1      <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  26,99   \n",
       "2      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  26,99   \n",
       "3      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  32,99   \n",
       "4      <h2> ОПИС </a> </h2><p><style type=\"text/css\">...  21,99   \n",
       "...                                                  ...    ...   \n",
       "22211  <h2> ОПИС </a> </h2><p><meta http-equiv=\"Conte...  10,99   \n",
       "22212  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...   6,99   \n",
       "22213  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  34,99   \n",
       "22214  <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  22,99   \n",
       "22215  <h2> ОПИС </a> </h2><p>Мішки для збору собачих...   7,99   \n",
       "\n",
       "                                               Image Url  \n",
       "0      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "1      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "3      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "4      https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "...                                                  ...  \n",
       "22211  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22212  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22213  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22214  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "22215  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "\n",
       "[22216 rows x 10 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "be778039",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Above Dataset of products is ready to go...\n"
     ]
    }
   ],
   "source": [
    "print(\"Above Dataset of products is ready to go...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5dae5c8",
   "metadata": {},
   "source": [
    "# Translation errors in description so resolving here below..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a040492b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SKU</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category1</th>\n",
       "      <th>Sub-Category2</th>\n",
       "      <th>Brand</th>\n",
       "      <th>Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>price</th>\n",
       "      <th>Image Url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>381997</td>\n",
       "      <td>харчування</td>\n",
       "      <td>Закуски та солодощі</td>\n",
       "      <td>вафлі</td>\n",
       "      <td>ETI DARE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>вафлі в чорному шоколаді з какао-кремом, 112 г</td>\n",
       "      <td>&lt;h2&gt; DODATKOWE INFORMACJE &lt;/a&gt; &lt;/h2&gt;&lt;div&gt;&lt;b&gt;WA...</td>\n",
       "      <td>7.29</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>382001</td>\n",
       "      <td>харчування</td>\n",
       "      <td>Закуски та солодощі</td>\n",
       "      <td>Батончики та вафлі</td>\n",
       "      <td>ETI DARE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>какао вафлі з кокосовим кремом, 40 гр</td>\n",
       "      <td>&lt;h2&gt; DODATKOWE INFORMACJE &lt;/a&gt; &lt;/h2&gt;&lt;div&gt;&lt;b&gt;WA...</td>\n",
       "      <td>2.19</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>394920</td>\n",
       "      <td>мама і дитина</td>\n",
       "      <td>Харчування для дітей</td>\n",
       "      <td>Обіди та супи</td>\n",
       "      <td>BABYDREAM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>біо овочі по-середземноморськи 6 місяців 190 г</td>\n",
       "      <td>&lt;h2&gt; DODATKOWE INFORMACJE &lt;/a&gt; &lt;/h2&gt;&lt;div&gt;&lt;b&gt;WA...</td>\n",
       "      <td>3.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>414959</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Аксесуари для обличчя</td>\n",
       "      <td>BEAUTIFLY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>апарат для безголкової мезотерапії 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>299.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>414956</td>\n",
       "      <td>Обличчя</td>\n",
       "      <td>ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ</td>\n",
       "      <td>Аксесуари для обличчя</td>\n",
       "      <td>BEAUTIFLY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>звуковий масажер для очей, 1 шт.</td>\n",
       "      <td>&lt;h2&gt; OPIS &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;meta http-equiv=\"Conte...</td>\n",
       "      <td>89.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2804</th>\n",
       "      <td>377624</td>\n",
       "      <td>Макіяж</td>\n",
       "      <td>Нігті</td>\n",
       "      <td>Лаки для нігтів</td>\n",
       "      <td>RIVAL DE LOOP</td>\n",
       "      <td>Ultra Gel</td>\n",
       "      <td>лак для нігтів №11 10,50 мл</td>\n",
       "      <td>&lt;h2&gt; SKŁADNIKI &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/...</td>\n",
       "      <td>6.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2805</th>\n",
       "      <td>377610</td>\n",
       "      <td>Макіяж</td>\n",
       "      <td>Нігті</td>\n",
       "      <td>Лаки для нігтів</td>\n",
       "      <td>RIVAL DE LOOP</td>\n",
       "      <td>Ultra Gel</td>\n",
       "      <td>лак для нігтів №12 10,50 мл</td>\n",
       "      <td>&lt;h2&gt; SKŁADNIKI &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/...</td>\n",
       "      <td>6.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2806</th>\n",
       "      <td>377614</td>\n",
       "      <td>Макіяж</td>\n",
       "      <td>Нігті</td>\n",
       "      <td>Лаки для нігтів</td>\n",
       "      <td>RIVAL DE LOOP</td>\n",
       "      <td>Ultra Gel</td>\n",
       "      <td>лак для нігтів №16 10,50 мл</td>\n",
       "      <td>&lt;h2&gt; SKŁADNIKI &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/...</td>\n",
       "      <td>6.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2807</th>\n",
       "      <td>377612</td>\n",
       "      <td>Макіяж</td>\n",
       "      <td>Нігті</td>\n",
       "      <td>Лаки для нігтів</td>\n",
       "      <td>RIVAL DE LOOP</td>\n",
       "      <td>Ultra Gel</td>\n",
       "      <td>лак для нігтів №21 10,50 мл</td>\n",
       "      <td>&lt;h2&gt; SKŁADNIKI &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/...</td>\n",
       "      <td>6.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2808</th>\n",
       "      <td>377626</td>\n",
       "      <td>Макіяж</td>\n",
       "      <td>Нігті</td>\n",
       "      <td>Лаки для нігтів</td>\n",
       "      <td>RIVAL DE LOOP</td>\n",
       "      <td>Ultra Gel</td>\n",
       "      <td>лак для нігтів №22 10,50 мл</td>\n",
       "      <td>&lt;h2&gt; SKŁADNIKI &lt;/a&gt; &lt;/h2&gt;&lt;p&gt;&lt;style type=\"text/...</td>\n",
       "      <td>6.99</td>\n",
       "      <td>https://www.ros.net.pl/GalleryImages/product_p...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2809 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         SKU       Category               Sub-Category1  \\\n",
       "0     381997     харчування         Закуски та солодощі   \n",
       "1     382001     харчування         Закуски та солодощі   \n",
       "2     394920  мама і дитина        Харчування для дітей   \n",
       "3     414959        Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "4     414956        Обличчя  ОЧИЩЕННЯ ТА ЗНЯТТЯ МАКІЯЖУ   \n",
       "...      ...            ...                         ...   \n",
       "2804  377624         Макіяж                       Нігті   \n",
       "2805  377610         Макіяж                       Нігті   \n",
       "2806  377614         Макіяж                       Нігті   \n",
       "2807  377612         Макіяж                       Нігті   \n",
       "2808  377626         Макіяж                       Нігті   \n",
       "\n",
       "              Sub-Category2           Brand       Name  \\\n",
       "0                     вафлі       ETI DARE         NaN   \n",
       "1        Батончики та вафлі       ETI DARE         NaN   \n",
       "2             Обіди та супи      BABYDREAM         NaN   \n",
       "3     Аксесуари для обличчя      BEAUTIFLY         NaN   \n",
       "4     Аксесуари для обличчя      BEAUTIFLY         NaN   \n",
       "...                     ...             ...        ...   \n",
       "2804        Лаки для нігтів  RIVAL DE LOOP   Ultra Gel   \n",
       "2805        Лаки для нігтів  RIVAL DE LOOP   Ultra Gel   \n",
       "2806        Лаки для нігтів  RIVAL DE LOOP   Ultra Gel   \n",
       "2807        Лаки для нігтів  RIVAL DE LOOP   Ultra Gel   \n",
       "2808        Лаки для нігтів  RIVAL DE LOOP   Ultra Gel   \n",
       "\n",
       "                                                Type  \\\n",
       "0     вафлі в чорному шоколаді з какао-кремом, 112 г   \n",
       "1              какао вафлі з кокосовим кремом, 40 гр   \n",
       "2     біо овочі по-середземноморськи 6 місяців 190 г   \n",
       "3           апарат для безголкової мезотерапії 1 шт.   \n",
       "4                   звуковий масажер для очей, 1 шт.   \n",
       "...                                              ...   \n",
       "2804                     лак для нігтів №11 10,50 мл   \n",
       "2805                     лак для нігтів №12 10,50 мл   \n",
       "2806                     лак для нігтів №16 10,50 мл   \n",
       "2807                     лак для нігтів №21 10,50 мл   \n",
       "2808                     лак для нігтів №22 10,50 мл   \n",
       "\n",
       "                                            Description   price  \\\n",
       "0     <h2> DODATKOWE INFORMACJE </a> </h2><div><b>WA...    7.29   \n",
       "1     <h2> DODATKOWE INFORMACJE </a> </h2><div><b>WA...    2.19   \n",
       "2     <h2> DODATKOWE INFORMACJE </a> </h2><div><b>WA...    3.99   \n",
       "3     <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...  299.99   \n",
       "4     <h2> OPIS </a> </h2><p><meta http-equiv=\"Conte...   89.99   \n",
       "...                                                 ...     ...   \n",
       "2804  <h2> SKŁADNIKI </a> </h2><p><style type=\"text/...    6.99   \n",
       "2805  <h2> SKŁADNIKI </a> </h2><p><style type=\"text/...    6.99   \n",
       "2806  <h2> SKŁADNIKI </a> </h2><p><style type=\"text/...    6.99   \n",
       "2807  <h2> SKŁADNIKI </a> </h2><p><style type=\"text/...    6.99   \n",
       "2808  <h2> SKŁADNIKI </a> </h2><p><style type=\"text/...    6.99   \n",
       "\n",
       "                                              Image Url  \n",
       "0     https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "1     https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2     https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "3     https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "4     https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "...                                                 ...  \n",
       "2804  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2805  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2806  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2807  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "2808  https://www.ros.net.pl/GalleryImages/product_p...  \n",
       "\n",
       "[2809 rows x 10 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_excel(\"Products with Polish description.xlsx\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f17499a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Ласкаво просимо до нашого підручника!'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from deep_translator import GoogleTranslator\n",
    "translator = GoogleTranslator(source='auto', target='uk')\n",
    "translator.translate(\"Welcome to our tutorial!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "18bcec1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "desctemp = []\n",
    "c=0\n",
    "flag = False\n",
    "count = 0\n",
    "\n",
    "def thread1():\n",
    "    global c\n",
    "    global flag\n",
    "    global count\n",
    "    \n",
    "    for i in range(0, 280):\n",
    "\n",
    "        if(c < 0):\n",
    "            c+=1\n",
    "            continue\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                a=\"\"\n",
    "                ini = 0\n",
    "                val = len(df['Description'].iloc[i]) // (len(df['Description'].iloc[i]) //100)\n",
    "                ori = val\n",
    "                #print(df['Description'].iloc[v], len(df['Description'].iloc[v]))\n",
    "                for j in range(len(df['Description'].iloc[i]) //100):\n",
    "                    a+=translator.translate(df['Description'].iloc[i][ini:val])\n",
    "                    ini = val\n",
    "                    if(j==(len(df['Description'].iloc[i]) //100) -1):\n",
    "                        a+=df['Description'].iloc[i][ini:]\n",
    "                    val+=ori\n",
    "\n",
    "                desctemp.append(a)\n",
    "                count = 0\n",
    "                break\n",
    "            except:\n",
    "                count+=1\n",
    "                time.sleep(3)\n",
    "                if(count >5):\n",
    "                    flag = True\n",
    "                    break\n",
    "        if(flag == True):\n",
    "            break\n",
    "\n",
    "\n",
    "        if(c % 1000 == 0):\n",
    "            print(\"*******************Translation Thread No. 1 total items Translated************************ : \", c)\n",
    "\n",
    "        c+=1\n",
    "        print(\"T : \", c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b10600bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "desctemp2 = []\n",
    "c2=0\n",
    "flag2 = False\n",
    "count2=0\n",
    "\n",
    "def thread2():\n",
    "    global c2\n",
    "    global flag2\n",
    "    global count2\n",
    "    \n",
    "    for i in range(280, 280+280):\n",
    "\n",
    "        if(c2 < 0):\n",
    "            c2+=1\n",
    "            continue\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                a2=\"\"\n",
    "                ini2 = 0\n",
    "                val2 = len(df['Description'].iloc[i]) // (len(df['Description'].iloc[i]) //100)\n",
    "                ori2 = val2\n",
    "                #print(df['Description'].iloc[v], len(df['Description'].iloc[v]))\n",
    "                for j in range(len(df['Description'].iloc[i]) //100):\n",
    "                    a2+=translator.translate(df['Description'].iloc[i][ini2:val2])\n",
    "                    ini2 = val2\n",
    "                    if(j==(len(df['Description'].iloc[i]) //100) -1):\n",
    "                        a2+=df['Description'].iloc[i][ini2:]\n",
    "                    val2+=ori2\n",
    "\n",
    "                desctemp2.append(a2)\n",
    "                count2 = 0\n",
    "                break\n",
    "            except:\n",
    "                count2+=1\n",
    "                time.sleep(3)\n",
    "                if(count2 >5):\n",
    "                    flag2 = True\n",
    "                    break\n",
    "        if(flag2 == True):\n",
    "            break\n",
    "\n",
    "\n",
    "        if(c2 % 1000 == 0):\n",
    "            print(\"*******************Translation Thread No. 1 total items Translated************************ : \", c2)\n",
    "\n",
    "        c2+=1\n",
    "        print(\"T : \", c2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f621b0d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "desctemp3 = []\n",
    "c3=0\n",
    "flag3 = False\n",
    "count3=0\n",
    "\n",
    "def thread3():\n",
    "    global c3\n",
    "    global flag3\n",
    "    global count3\n",
    "    \n",
    "    for i in range(280+280, 280+280+280):\n",
    "\n",
    "        if(c3 < 0):\n",
    "            c3+=1\n",
    "            continue\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                a3=\"\"\n",
    "                ini3 = 0\n",
    "                val3 = len(df['Description'].iloc[i]) // (len(df['Description'].iloc[i]) //100)\n",
    "                ori3 = val3\n",
    "                #print(df['Description'].iloc[v], len(df['Description'].iloc[v]))\n",
    "                for j in range(len(df['Description'].iloc[i]) //100):\n",
    "                    a3+=translator.translate(df['Description'].iloc[i][ini3:val3])\n",
    "                    ini3 = val3\n",
    "                    if(j==(len(df['Description'].iloc[i]) //100) -1):\n",
    "                        a3+=df['Description'].iloc[i][ini3:]\n",
    "                    val3+=ori3\n",
    "\n",
    "                desctemp3.append(a3)\n",
    "                count3 = 0\n",
    "                break\n",
    "            except:\n",
    "                count3+=1\n",
    "                time.sleep(3)\n",
    "                if(count3 >5):\n",
    "                    flag3 = True\n",
    "                    break\n",
    "        if(flag3 == True):\n",
    "            break\n",
    "\n",
    "\n",
    "        if(c3 % 1000 == 0):\n",
    "            print(\"*******************Translation Thread No. 1 total items Translated************************ : \", c3)\n",
    "\n",
    "        c3+=1\n",
    "        print(\"T : \", c3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "85677932",
   "metadata": {},
   "outputs": [],
   "source": [
    "desctemp4 = []\n",
    "c4=0\n",
    "flag4 = False\n",
    "count4=0\n",
    "\n",
    "def thread4():\n",
    "    global c4\n",
    "    global flag4\n",
    "    global count4\n",
    "    \n",
    "    for i in range(280+280+280, 280+280+280+280):\n",
    "\n",
    "        if(c4 < 0):\n",
    "            c4+=1\n",
    "            continue\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                a4=\"\"\n",
    "                ini4 = 0\n",
    "                val4 = len(df['Description'].iloc[i]) // (len(df['Description'].iloc[i]) //100)\n",
    "                ori4 = val4\n",
    "                #print(df['Description'].iloc[v], len(df['Description'].iloc[v]))\n",
    "                for j in range(len(df['Description'].iloc[i]) //100):\n",
    "                    a4+=translator.translate(df['Description'].iloc[i][ini4:val4])\n",
    "                    ini4 = val4\n",
    "                    if(j==(len(df['Description'].iloc[i]) //100) -1):\n",
    "                        a4+=df['Description'].iloc[i][ini4:]\n",
    "                    val4+=ori4\n",
    "\n",
    "                desctemp4.append(a4)\n",
    "                count4 = 0\n",
    "                break\n",
    "            except:\n",
    "                count4+=1\n",
    "                time.sleep(3)\n",
    "                if(count4 >5):\n",
    "                    flag4 = True\n",
    "                    break\n",
    "        if(flag4 == True):\n",
    "            break\n",
    "\n",
    "\n",
    "        if(c4 % 1000 == 0):\n",
    "            print(\"*******************Translation Thread No. 1 total items Translated************************ : \", c4)\n",
    "\n",
    "        c4+=1\n",
    "        print(\"T : \", c4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6a4cabcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "desctemp5 = []\n",
    "c5=0\n",
    "flag5 = False\n",
    "count5=0\n",
    "\n",
    "def thread5():\n",
    "    global c5\n",
    "    global flag5\n",
    "    global count5\n",
    "    \n",
    "    for i in range(280+280+280+280, 280+280+280+280+280):\n",
    "\n",
    "        if(c5 < 0):\n",
    "            c5+=1\n",
    "            continue\n",
    "\n",
    "        while True:\n",
    "            try:\n",
    "                a5=\"\"\n",
    "                ini5 = 0\n",
    "                val5 = len(df['Description'].iloc[i]) // (len(df['Description'].iloc[i]) //100)\n",
    "                ori5 = val5\n",
    "                #print(df['Description'].iloc[v], len(df['Description'].iloc[v]))\n",
    "                for j in range(len(df['Description'].iloc[i]) //100):\n",
    "                    a5+=translator.translate(df['Description'].iloc[i][ini5:val5])\n",
    "                    ini5 = val5\n",
    "                    if(j==(len(df['Description'].iloc[i]) //100) -1):\n",
    "                        a5+=df['Description'].iloc[i][ini5:]\n",
    "                    val5+=ori5\n",
    "\n",
    "                desctemp5.append(a5)\n",
    "                count5 = 0\n",
    "                break\n",
    "            except:\n",
    "                count5+=1\n",
    "                time.sleep(3)\n",
    "                if(count5 >5):\n",
    "                    flag5 = True\n",
    "                    break\n",
    "        if(flag5 == True):\n",
    "            break\n",
    "\n",
    "\n",
    "        if(c5 % 1000 == 0):\n",
    "            print(\"*******************Translation Thread No. 1 total items Translated************************ : \", c5)\n",
    "\n",
    "        c5+=1\n",
    "        print(\"T : \",c5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "58f0ed7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*******************Translation Thread No. 1 total items Translated************************ :  0\n",
      "T :  1\n",
      "T :  2\n",
      "T :  3\n",
      "*******************Translation Thread No. 1 total items Translated************************ :  0\n",
      "T :  1\n",
      "T :  2\n",
      "*******************Translation Thread No. 1 total items Translated************************ :  0\n",
      "T :  1\n",
      "*******************Translation Thread No. 1 total items Translated************************ :  0\n",
      "T :  1\n",
      "T :  3\n",
      "*******************Translation Thread No. 1 total items Translated************************ :  0\n",
      "T :  1\n",
      "T :  4\n",
      "T :  2\n",
      "T :  4\n",
      "T :  2\n",
      "T :  5\n",
      "T :  3\n",
      "T :  3\n",
      "T :  5\n",
      "T :  6\n",
      "T :  2\n",
      "T :  4\n",
      "T :  5\n",
      "T :  4\n",
      "T :  7\n",
      "T :  6\n",
      "T :  8\n",
      "T :  6\n",
      "T :  5\n",
      "T :  7\n",
      "T :  9\n",
      "T :  3\n",
      "T :  8\n",
      "T :  6\n",
      "T :  10\n",
      "T :  9\n",
      "T :  7\n",
      "T :  7\n"
     ]
    }
   ],
   "source": [
    "with concurrent.futures.ThreadPoolExecutor() as executor:\n",
    "    f1 = executor.submit(thread1)\n",
    "    f2 = executor.submit(thread2)\n",
    "    f3 = executor.submit(thread3)\n",
    "    f4 = executor.submit(thread4)\n",
    "    f5 = executor.submit(thread5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0b3aed75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 0)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c, len(desctemp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d23711d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1400"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count4 = 0\n",
    "\n",
    "def thread4():\n",
    "    \n",
    "    global count4\n",
    "    \n",
    "    for i4 in Article_link[1150+1150+1150:]:\n",
    "        if(count4<0):\n",
    "            count4+=1\n",
    "            continue\n",
    "\n",
    "        driver4.get(i4)\n",
    "\n",
    "        time.sleep(2.5)\n",
    "        try:\n",
    "            Article_title4.append(driver4.find_element(By.XPATH, '//li[@class=\"title\"]').text)\n",
    "        except:\n",
    "            Article_title4.append(\"\")\n",
    "\n",
    "        try:\n",
    "\n",
    "            t4 = len(driver4.find_elements(By.XPATH, '//span[@class=\"dates\"]'))\n",
    "            temp4 = (driver4.find_elements(By.XPATH, '//span[@class=\"dates\"]')[t4 - 1].text.split(':')[1])\n",
    "            mnth4= temp4.split(' ')[2]\n",
    "            month4 = mtn4(mnth4)\n",
    "            published_on4.append(temp4.split(' ')[1] + '/' + str(month4) + '/' + temp4.split(' ')[3])\n",
    "            published_year4.append(temp4.split(' ')[3])\n",
    "            print(\"T4 : \", temp4)\n",
    "\n",
    "        except:\n",
    "            published_on4.append(\"\")\n",
    "            published_year4.append(\"\")\n",
    "\n",
    "        try:\n",
    "            authors4.append(driver4.find_element(By.XPATH, '//div[@class=\"NLM_sec NLM_sec-type_author-contributions NLM_sec_level_2\"]//div[2]').text)\n",
    "        except:\n",
    "            authors4.append(\"\")\n",
    "\n",
    "        try:\n",
    "            abstract4.append(driver4.find_element(By.XPATH, '//div[@class=\"abstractSection abstractInFull\"]').text)\n",
    "        except:\n",
    "            abstract4.append(\"\")\n",
    "\n",
    "        count4+=1\n",
    "        if(count4 % 100 == 0):\n",
    "            print(\"T4 : \", count4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "95f6a64d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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