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

import requests
from bsa import BeautifulSoup

A_:   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'''
}


def        __lowerCAmelCase      (	_A = "dhaka"			,_A = 5       ):



							"""simple docstring"""


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

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

							_lowercase					=						json.dumps(A_       )
							_lowercase					=						json.loads(A_       )

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

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

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


if __name__ == "__main__":
				try:
								A_:   int   =      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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__UpperCamelCase    : Tuple				 =						logging.get_logger(__name__)

__UpperCamelCase    : Optional[int]				 =						{
    '''google/bit-50''': '''https://huggingface.co/google/bit-50/resolve/main/config.json''',
}







class 							SCREAMING_SNAKE_CASE   (						a_       ,				a_			):






					"""simple docstring"""



					lowercase__												=			"bit"
					lowercase__												=			["preactivation", "bottleneck"]
					lowercase__												=			["SAME", "VALID"]







					def __init__(			self     :							int  ,lowercase_     :							Optional[int]=3  ,lowercase_     :							int=6_4  ,lowercase_     :							Optional[int]=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8]  ,lowercase_     :							Union[str, Any]=[3, 4, 6, 3]  ,lowercase_     :							List[Any]="preactivation"  ,lowercase_     :							Dict="relu"  ,lowercase_     :							Dict=None  ,lowercase_     :							Optional[Any]=3_2  ,lowercase_     :							Any=0.0  ,lowercase_     :							Optional[Any]=False  ,lowercase_     :							List[Any]=3_2  ,lowercase_     :							Optional[Any]=1  ,lowercase_     :							Optional[int]=None  ,lowercase_     :							int=None  ,**lowercase_     :							List[str]  ,):
						super().__init__(**lowercase_						)
						if layer_type not in self.layer_types:
							raise ValueError(F'layer_type={layer_type} is not one of {",".join(self.layer_types						)}'						)
						if global_padding is not None:
							if global_padding.upper() in self.supported_padding:
								lowerCAmelCase__      :		Optional[Any]    							=      global_padding.upper()
							else:
								raise ValueError(F'Padding strategy {global_padding} not supported'						)
						lowerCAmelCase__      :		int    							=      num_channels
						lowerCAmelCase__      :		int    							=      embedding_size
						lowerCAmelCase__      :		Any    							=      hidden_sizes
						lowerCAmelCase__      :		int    							=      depths
						lowerCAmelCase__      :		Union[str, Any]    							=      layer_type
						lowerCAmelCase__      :		Optional[int]    							=      hidden_act
						lowerCAmelCase__      :		int    							=      global_padding
						lowerCAmelCase__      :		List[Any]    							=      num_groups
						lowerCAmelCase__      :		List[Any]    							=      drop_path_rate
						lowerCAmelCase__      :		Union[str, Any]    							=      embedding_dynamic_padding
						lowerCAmelCase__      :		int    							=      output_stride
						lowerCAmelCase__      :		Optional[Any]    							=      width_factor

						lowerCAmelCase__      :		List[str]    							=      ['''stem'''] + [F'stage{idx}' for idx in range(1  ,len(lowercase_						) + 1						)]
						lowerCAmelCase__							,lowerCAmelCase__      :		Any    							=      get_aligned_output_features_output_indices(
						    out_features=lowercase_  ,out_indices=lowercase_  ,stage_names=self.stage_names						)




