
"""simple docstring"""

import numpy as np




def      lowercase__    (       lowerCAmelCase					:       Any			)			->   np.array:






    """simple docstring"""




    return 1 / (1 + np.exp(-vector			))




def      lowercase__    (       lowerCAmelCase					:       Any			)			->   np.array:






    """simple docstring"""




    return vector * sigmoid(1.702 * vector			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()





"""simple docstring"""






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

import requests
from bsa import BeautifulSoup

_lowercase							=				{
    '''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__			(		__magic_name__ = "dhaka"			,   __magic_name__ = 5      )						->int:
			__lowercase       =       min(__magic_name__			,   5_0      )  # Prevent abuse!
			__lowercase       =       {
			    "q": query,
			    "tbm": "isch",
			    "hl": "en",
			    "ijn": "0",
			}

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

			__lowercase       =       json.dumps(__magic_name__      )
			__lowercase       =       json.loads(__magic_name__      )

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

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

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


if __name__ == "__main__":
					try:
										_lowercase							=				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





