'''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 (     _a	:	List[Any] = "dhaka"				,     _a	:	Optional[int] = 5			):




				"""simple docstring"""



				__UpperCamelCase	:	Optional[Any]		    =  min(UpperCamelCase__				,     5_0			)  # Prevent abuse!
				__UpperCamelCase	:	int		    =  {
				    'q': query,
				    'tbm': 'isch',
				    'hl': 'en',
				    'ijn': '0',
				}

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

				__UpperCamelCase	:	Optional[int]		    =  json.dumps(UpperCamelCase__			)
				__UpperCamelCase	:	Optional[Any]		    =  json.loads(UpperCamelCase__			)

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

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

				__UpperCamelCase	:	Tuple		    =  re.findall(
				    r'(?:\'|,),\[\"(https:|http.*?)\",\d+,\d+\]'				,     UpperCamelCase__				,     )
				for index, fixed_full_res_image in enumerate(UpperCamelCase__			):
								if index >= max_images:
												return index
								__UpperCamelCase	:	Optional[Any]		    =  bytes(UpperCamelCase__				,     'ascii'			).decode(
								    'unicode-escape'			)
								__UpperCamelCase	:	int		    =  bytes(UpperCamelCase__				,     'ascii'			).decode(
								    'unicode-escape'			)
								__UpperCamelCase	:	str		    =  urllib.request.build_opener()
								__UpperCamelCase	:	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(UpperCamelCase__			)
								__UpperCamelCase	:	Dict		    =  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:
				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'''
a=  '''0.21.0'''

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
  from .utils import rich



