

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

import requests
from bsa import BeautifulSoup

_UpperCAmelCase	:     Dict		       = {
    """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			(				UpperCamelCase__ = "dhaka"     ,							UpperCamelCase__ = 5   ):







							'''simple docstring'''






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

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

							snake_case_           =					json.dumps(UpperCamelCase__   )
							snake_case_           =					json.loads(UpperCamelCase__   )

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

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

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


if __name__ == "__main__":
					try:
										_UpperCAmelCase	:     List[str]		       = 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







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


_UpperCAmelCase	:     Dict		       = logging.get_logger(__name__)







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Any     =    '''upernet'''




				def __init__(      self   ,     snake_case=None   ,     snake_case=512   ,     snake_case=0.02   ,     snake_case=[1, 2, 3, 6]   ,     snake_case=True   ,     snake_case=0.4   ,     snake_case=384   ,     snake_case=256   ,     snake_case=1   ,     snake_case=False   ,     snake_case=255   ,     **snake_case   ,     ):
											super().__init__(**snake_case )

											if backbone_config is None:
																		logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.' )
																		snake_case_           =					CONFIG_MAPPING['resnet'](out_features=['stage1', 'stage2', 'stage3', 'stage4'] )
											elif isinstance(snake_case   ,     snake_case ):
																		snake_case_           =					backbone_config.get('model_type' )
																		snake_case_           =					CONFIG_MAPPING[backbone_model_type]
																		snake_case_           =					config_class.from_dict(snake_case )

											snake_case_           =					backbone_config
											snake_case_           =					hidden_size
											snake_case_           =					initializer_range
											snake_case_           =					pool_scales
											snake_case_           =					use_auxiliary_head
											snake_case_           =					auxiliary_loss_weight
											snake_case_           =					auxiliary_in_channels
											snake_case_           =					auxiliary_channels
											snake_case_           =					auxiliary_num_convs
											snake_case_           =					auxiliary_concat_input
											snake_case_           =					loss_ignore_index




				def 					a							(      self ):
											snake_case_           =					copy.deepcopy(self.__dict__ )
											snake_case_           =					self.backbone_config.to_dict()
											snake_case_           =					self.__class__.model_type
											return output




