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

import requests
from bsa import BeautifulSoup

__lowerCAmelCase					:			Optional[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"
}


def     UpperCAmelCase_  (						__lowerCAmelCase = "dhaka"	,					__lowerCAmelCase = 5	) ->						int:
    __lowercase		:			Dict	    =       min(__lowerCAmelCase	,					50	)  # Prevent abuse!
    __lowercase		:			Union[str, Any]	    =       {
        '''q''': query,
        '''tbm''': '''isch''',
        '''hl''': '''en''',
        '''ijn''': '''0''',
    }

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

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

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

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

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


if __name__ == "__main__":
 try:
  __lowerCAmelCase					:			Optional[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




__lowerCAmelCase					:			Dict			      =		"\n# Installazione di Transformers\n! pip install transformers datasets\n# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e\n# rimuovi la modalità commento al comando seguente.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

__lowerCAmelCase					:			Tuple			      =		[{"type": "code", "content": INSTALL_CONTENT}]
__lowerCAmelCase					:			List[Any]			      =		{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}


