

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        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__ = "dhaka"     ,			lowerCamelCase__ = 5      )  ->					int:
	__lowerCamelCase    :    Optional[Any] 	=			min(__a     ,			5_0      )  # Prevent abuse!
	__lowerCamelCase    :    str 	=			{
	    '''q''': query,
	    '''tbm''': '''isch''',
	    '''hl''': '''en''',
	    '''ijn''': '''0''',
	}

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

	__lowerCamelCase    :    Optional[Any] 	=			json.dumps(__a      )
	__lowerCamelCase    :    Tuple 	=			json.loads(__a      )

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

	__lowerCamelCase    :    Dict 	=			re.sub(
	    R'\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]'     ,			''     ,			str(__a      )     ,			)

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







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


a		={
    """configuration_pix2struct""": [
        """PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Pix2StructConfig""",
        """Pix2StructTextConfig""",
        """Pix2StructVisionConfig""",
    ],
    """processing_pix2struct""": ["""Pix2StructProcessor"""],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=["""Pix2StructImageProcessor"""]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a		=[
					    """PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """Pix2StructPreTrainedModel""",
					    """Pix2StructForConditionalGeneration""",
					    """Pix2StructVisionModel""",
					    """Pix2StructTextModel""",
					]

if TYPE_CHECKING:
					from .configuration_pixastruct import (
					    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    PixaStructConfig,
					    PixaStructTextConfig,
					    PixaStructVisionConfig,
					)
					from .processing_pixastruct import PixaStructProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_pixastruct import PixaStructImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_pixastruct import (
										    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    PixaStructForConditionalGeneration,
										    PixaStructPreTrainedModel,
										    PixaStructTextModel,
										    PixaStructVisionModel,
										)

else:
					import sys

					a		=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




