
import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

__SCREAMING_SNAKE_CASE      : Tuple       =  {
    """User-Agent""": """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"""
    """ (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"""
}
def      UpperCAmelCase__				(							__magic_name__    :  str = "dhaka"				,	__magic_name__    :  int = 5	):


					'''simple docstring'''

					lowerCAmelCase		:       Tuple							=  min(__snake_case				,	50	)  # Prevent abuse!
					lowerCAmelCase		:       Union[str, Any]							=  {
					    "q": query,
					    "tbm": "isch",
					    "hl": "en",
					    "ijn": "0",
					}

					lowerCAmelCase		:       str							=  requests.get('''https://www.google.com/search'''				,	params=__snake_case				,	headers=__snake_case	)
					lowerCAmelCase		:       List[Any]							=  BeautifulSoup(html.text				,	'''html.parser'''	)
					lowerCAmelCase		:       List[Any]							=  "".join(
					    re.findall(R'''AF_initDataCallback\(([^<]+)\);'''				,	str(soup.select('''script'''	)	)	)	)

					lowerCAmelCase		:       Optional[Any]							=  json.dumps(__snake_case	)
					lowerCAmelCase		:       List[str]							=  json.loads(__snake_case	)

					lowerCAmelCase		:       Optional[Any]							=  re.findall(
					    R'''\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\",'''				,	__snake_case				,	)
					if not matched_google_image_data:
										return 0

					lowerCAmelCase		:       int							=  re.sub(
					    R'''\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]'''				,	''''''				,	str(__snake_case	)				,	)

					lowerCAmelCase		:       int							=  re.findall(
					    R'''(?:\'|,),\[\"(https:|http.*?)\",\d+,\d+\]'''				,	__snake_case				,	)
					for index, fixed_full_res_image in enumerate(__snake_case	):
										if index >= max_images:
															return index
										lowerCAmelCase		:       str							=  bytes(__snake_case				,	'''ascii'''	).decode(
										    '''unicode-escape'''	)
										lowerCAmelCase		:       Optional[int]							=  bytes(__snake_case				,	'''ascii'''	).decode(
										    '''unicode-escape'''	)
										lowerCAmelCase		:       Optional[Any]							=  urllib.request.build_opener()
										lowerCAmelCase		:       Optional[int]							=  [
										    (
										        "User-Agent",
										        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
										        " (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582",
										    )
										]
										urllib.request.install_opener(__snake_case	)
										lowerCAmelCase		:       Union[str, Any]							=  f'''query_{query.replace(" "				,	"_"	)}'''
										if not os.path.exists(__snake_case	):
															os.makedirs(__snake_case	)
										urllib.request.urlretrieve(  # noqa: S310
										    __snake_case				,	f'''{path_name}/original_size_img_{index}.jpg'''	)
					return index


if __name__ == "__main__":
		try:
				__SCREAMING_SNAKE_CASE      : Tuple       =  download_images_from_google_query(sys.argv[1])
				print(f"""{image_count} images were downloaded to disk.""")
		except IndexError:
				print('Please provide a search term.')
				raise


"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


_A     :			Optional[int]  						=			logging.get_logger(__name__)

class 						a__		( a_		):
   def __init__(     self      ,       *_a      ,       **_a							):
          warnings.warn(
              "The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
              " use OwlViTImageProcessor instead."      ,       _a      ,       )
          super().__init__(*_a      ,       **_a							)


