
"""simple docstring"""

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

import requests
from bsa import BeautifulSoup

SCREAMING_SNAKE_CASE_            =    {
    '''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      lowercase__    (       lowerCAmelCase					:       str = "dhaka"			,					lowerCAmelCase					:       int = 5			)			->   int:






    """simple docstring"""




    UpperCAmelCase          =       min(lowerCAmelCase			,					50			)  # Prevent abuse!
    UpperCAmelCase          =       {
        'q': query,
        'tbm': 'isch',
        'hl': 'en',
        'ijn': '0',
    }

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

    UpperCAmelCase          =       json.dumps(lowerCAmelCase			)
    UpperCAmelCase          =       json.loads(lowerCAmelCase			)

    UpperCAmelCase          =       re.findall(
        r'\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\",'			,					lowerCAmelCase			,					)
    if not matched_google_image_data:
        return 0

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

    UpperCAmelCase          =       re.findall(
        r'(?:\'|,),\[\"(https:|http.*?)\",\d+,\d+\]'			,					lowerCAmelCase			,					)
    for index, fixed_full_res_image in enumerate(lowerCAmelCase			):
        if index >= max_images:
            return index
        UpperCAmelCase          =       bytes(lowerCAmelCase			,					'ascii'			).decode(
            'unicode-escape'			)
        UpperCAmelCase          =       bytes(lowerCAmelCase			,					'ascii'			).decode(
            'unicode-escape'			)
        UpperCAmelCase          =       urllib.request.build_opener()
        UpperCAmelCase          =       [
            (
                '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(lowerCAmelCase			)
        UpperCAmelCase          =       F"query_{query.replace(' '			,					'_'			)}"
        if not os.path.exists(lowerCAmelCase			):
            os.makedirs(lowerCAmelCase			)
        urllib.request.urlretrieve(  # noqa: S310
            lowerCAmelCase			,					F"{path_name}/original_size_img_{index}.jpg"			)
    return index


if __name__ == "__main__":
   try:
      SCREAMING_SNAKE_CASE_            =    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"""

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				List[Any]				   =						["image_processor", "tokenizer"]
      __SCREAMING_SNAKE_CASE :				Dict				   =						"AutoImageProcessor"
      __SCREAMING_SNAKE_CASE :				Optional[int]				   =						"AutoTokenizer"




      def __init__(				self ,							lowercase_ ,							lowercase_				)    ->       List[str]:
          super().__init__(lowercase_ ,							lowercase_				)
          UpperCAmelCase          =       self.image_processor




      def __call__(				self ,							lowercase_=None ,							lowercase_=None ,							lowercase_=None ,							**lowercase_				)    ->       Any:

          if text is None and images is None:
              raise ValueError('You have to specify either text or images. Both cannot be none.'				)

          if text is not None:
              UpperCAmelCase          =       self.tokenizer(lowercase_ ,							return_tensors=lowercase_ ,							**lowercase_				)

          if images is not None:
              UpperCAmelCase          =       self.image_processor(lowercase_ ,							return_tensors=lowercase_ ,							**lowercase_				)

          if text is not None and images is not None:
              UpperCAmelCase          =       image_features.pixel_values
              return encoding
          elif text is not None:
              return encoding
          else:
              return BatchEncoding(data=dict(**lowercase_				) ,							tensor_type=lowercase_				)




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       Optional[Any]:
          return self.tokenizer.batch_decode(*lowercase_ ,							**lowercase_				)




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       Optional[int]:
          return self.tokenizer.decode(*lowercase_ ,							**lowercase_				)




      @property
      def      a_   (				self				)    ->       Optional[int]:
          return ["input_ids", "attention_mask", "pixel_values"]



