



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

import requests
from bsa import BeautifulSoup

SCREAMING_SNAKE_CASE__   			=   {
    '''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 A    (							__UpperCamelCase = "dhaka"			,						__UpperCamelCase = 5       )    ->   int:
			A__	  =     min(__UpperCamelCase			,						50       )  # Prevent abuse!
			A__	  =     {
			    'q': query,
			    'tbm': 'isch',
			    'hl': 'en',
			    'ijn': '0',
			}

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

			A__	  =     json.dumps(__UpperCamelCase       )
			A__	  =     json.loads(__UpperCamelCase       )

			A__	  =     re.findall(
			    r'\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\",'			,						__UpperCamelCase			,						)
			if not matched_google_image_data:
						return 0

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

			A__	  =     re.findall(
			    r'(?:\'|,),\[\"(https:|http.*?)\",\d+,\d+\]'			,						__UpperCamelCase			,						)
			for index, fixed_full_res_image in enumerate(__UpperCamelCase       ):
						if index >= max_images:
									return index
						A__	  =     bytes(__UpperCamelCase			,						'ascii'       ).decode(
						    'unicode-escape'       )
						A__	  =     bytes(__UpperCamelCase			,						'ascii'       ).decode(
						    'unicode-escape'       )
						A__	  =     urllib.request.build_opener()
						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',
						    )
						]
						urllib.request.install_opener(__UpperCamelCase       )
						A__	  =     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:
														SCREAMING_SNAKE_CASE__   			=   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









SCREAMING_SNAKE_CASE__   			=   {
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}


def A    (							__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase       )    ->   list[str]:
			A__	  =     set()
			# keep track of all the paths to be checked
			A__	  =     [[start]]

			# return path if start is goal
			if start == goal:
						return [start]

			# keeps looping until all possible paths have been checked
			while queue:
						# pop the first path from the queue
						A__	  =     queue.pop(0       )
						# get the last node from the path
						A__	  =     path[-1]
						if node not in explored:
									A__	  =     graph[node]
									# go through all neighbour nodes, construct a new path and
									# push it into the queue
									for neighbour in neighbours:
												A__	  =     list(__UpperCamelCase       )
												new_path.append(__UpperCamelCase       )
												queue.append(__UpperCamelCase       )
												# return path if neighbour is goal
												if neighbour == goal:
															return new_path

            # mark node as explored
									explored.add(__UpperCamelCase       )

    # in case there's no path between the 2 nodes
			return []


def A    (							__UpperCamelCase			,						__UpperCamelCase			,						__UpperCamelCase       )    ->   int:
			if not graph or start not in graph or target not in graph:
						return -1
			if start == target:
						return 0
			A__	  =     [start]
			A__	  =     set(__UpperCamelCase       )
			# Keep tab on distances from `start` node.
			A__	  =     {start: 0, target: -1}
			while queue:
						A__	  =     queue.pop(0       )
						if node == target:
									A__	  =     (
									    dist[node] if dist[target] == -1 else min(dist[target]			,						dist[node]       )
									)
						for adjacent in graph[node]:
									if adjacent not in visited:
												visited.add(__UpperCamelCase       )
												queue.append(__UpperCamelCase       )
												A__	  =     dist[node] + 1
			return dist[target]


if __name__ == "__main__":
							print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
							print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4




