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

import requests
from bsa import BeautifulSoup

SCREAMING_SNAKE_CASE		:     int         =	{
    "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_			(   _SCREAMING_SNAKE_CASE     :				str = "dhaka"		, _SCREAMING_SNAKE_CASE     :				int = 5			):
						UpperCamelCase_		:							Optional[Any]  =		min(_SCREAMING_SNAKE_CASE		, 50			)  # Prevent abuse!
						UpperCamelCase_		:							List[str]  =		{
						    """q""": query,
						    """tbm""": """isch""",
						    """hl""": """en""",
						    """ijn""": """0""",
						}

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

						UpperCamelCase_		:							Union[str, Any]  =		json.dumps(_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							str  =		json.loads(_SCREAMING_SNAKE_CASE			)

						UpperCamelCase_		:							Optional[Any]  =		re.findall(
						    R"""\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\","""		, _SCREAMING_SNAKE_CASE		, )
						if not matched_google_image_data:
												return 0

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

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


if __name__ == "__main__":
	try:
		SCREAMING_SNAKE_CASE		:     Any         =	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 heapq import heappop, heappush

import numpy as np






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				np.ndarray		, _SCREAMING_SNAKE_CASE     :				tuple[int, int]		, _SCREAMING_SNAKE_CASE     :				tuple[int, int]		, _SCREAMING_SNAKE_CASE     :				bool		, ):
						UpperCamelCase_,UpperCamelCase_		:							Union[str, Any]  =		grid.shape
						UpperCamelCase_		:							List[str]  =		[-1, 1, 0, 0]
						UpperCamelCase_		:							Dict  =		[0, 0, -1, 1]
						if allow_diagonal:
												dx += [-1, -1, 1, 1]
												dy += [-1, 1, -1, 1]

						UpperCamelCase_,UpperCamelCase_		:							List[Any]  =		[(0, source)], set()
						UpperCamelCase_		:							Any  =		np.full((rows, cols)		, np.inf			)
						UpperCamelCase_		:							List[str]  =		0
						UpperCamelCase_		:							Union[str, Any]  =		np.empty((rows, cols)		, dtype=_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							Optional[int]  =		None

						while queue:
												((UpperCamelCase_),(UpperCamelCase_))		:							Any  =		heappop(_SCREAMING_SNAKE_CASE			)
												if (x, y) in visited:
																		continue
												visited.add((x, y)			)

												if (x, y) == destination:
																		UpperCamelCase_		:							Tuple  =		[]
																		while (x, y) != source:
																								path.append((x, y)			)
																								UpperCamelCase_,UpperCamelCase_		:							Union[str, Any]  =		predecessors[x, y]
																		path.append(_SCREAMING_SNAKE_CASE			)  # add the source manually
																		path.reverse()
																		return matrix[destination], path

												for i in range(len(_SCREAMING_SNAKE_CASE			)			):
																		UpperCamelCase_,UpperCamelCase_		:							Optional[Any]  =		x + dx[i], y + dy[i]
																		if 0 <= nx < rows and 0 <= ny < cols:
																								UpperCamelCase_		:							Union[str, Any]  =		grid[nx][ny]
																								if next_node == 1 and matrix[nx, ny] > dist + 1:
																														heappush(_SCREAMING_SNAKE_CASE		, (dist + 1, (nx, ny))			)
																														UpperCamelCase_		:							Optional[Any]  =		dist + 1
																														UpperCamelCase_		:							List[Any]  =		(x, y)

						return np.inf, []


if __name__ == "__main__":
	import doctest

	doctest.testmod()






