'''simple docstring'''




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

import requests
from bsa import BeautifulSoup

_A								=   {
    '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   (       SCREAMING_SNAKE_CASE_ = "dhaka"  ,       SCREAMING_SNAKE_CASE_ = 5							):
     lowercase_					:       Optional[int]     				=					min(SCREAMING_SNAKE_CASE_  ,       50							)  # Prevent abuse!
     lowercase_					:       Union[str, Any]     				=					{
         'q': query,
         'tbm': 'isch',
         'hl': 'en',
         'ijn': '0',
     }

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

     lowercase_					:       Union[str, Any]     				=					json.dumps(SCREAMING_SNAKE_CASE_							)
     lowercase_					:       List[str]     				=					json.loads(SCREAMING_SNAKE_CASE_							)

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

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

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


if __name__ == "__main__":
 try:
  _A								=   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 ...configuration_utils import PretrainedConfig
from ...utils import logging


_A								=   logging.get_logger(__name__)

_A								=   {
    'uw-madison/mra-base-512-4': 'https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json',
}


class       UpperCAmelCase__  (       _snake_case			):






   """simple docstring"""
   A							:       Any     =    '''mra'''
   def __init__(self       ,				_a=50_265       ,				_a=768       ,				_a=12       ,				_a=12       ,				_a=3_072       ,				_a="gelu"       ,				_a=0.1       ,				_a=0.1       ,				_a=512       ,				_a=1       ,				_a=0.02       ,				_a=1e-5       ,				_a="absolute"       ,				_a=4       ,				_a="full"       ,				_a=0       ,				_a=0       ,				_a=1       ,				_a=0       ,				_a=2       ,				**_a       ,				)    ->     int:
        super().__init__(pad_token_id=_a       ,				bos_token_id=_a       ,				eos_token_id=_a       ,				**_a				)

        lowercase_					:       Union[str, Any]     				=					vocab_size
        lowercase_					:       List[str]     				=					max_position_embeddings
        lowercase_					:       Optional[Any]     				=					hidden_size
        lowercase_					:       Optional[int]     				=					num_hidden_layers
        lowercase_					:       Dict     				=					num_attention_heads
        lowercase_					:       Optional[int]     				=					intermediate_size
        lowercase_					:       Dict     				=					hidden_act
        lowercase_					:       str     				=					hidden_dropout_prob
        lowercase_					:       int     				=					attention_probs_dropout_prob
        lowercase_					:       str     				=					initializer_range
        lowercase_					:       Union[str, Any]     				=					type_vocab_size
        lowercase_					:       Any     				=					layer_norm_eps
        lowercase_					:       Union[str, Any]     				=					position_embedding_type
        lowercase_					:       Any     				=					block_per_row
        lowercase_					:       Optional[int]     				=					approx_mode
        lowercase_					:       int     				=					initial_prior_first_n_blocks
        lowercase_					:       str     				=					initial_prior_diagonal_n_blocks




