
"""simple docstring"""







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

import requests
from bsa import BeautifulSoup

lowerCamelCase__        =		{
    """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		):
	__lowerCAmelCase      :						Dict						      =				min(_UpperCamelCase	,  50		)  # Prevent abuse!
	__lowerCAmelCase      :						Optional[Any]						      =				{
	    '''q''': query,
	    '''tbm''': '''isch''',
	    '''hl''': '''en''',
	    '''ijn''': '''0''',
	}

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

	__lowerCAmelCase      :						Dict						      =				json.dumps(_UpperCamelCase		)
	__lowerCAmelCase      :						Optional[Any]						      =				json.loads(_UpperCamelCase		)

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

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

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







lowerCamelCase__        =		"""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