

'''simple docstring'''





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

import requests
from bsa import BeautifulSoup

lowerCAmelCase__								=		{
    """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_     (							UpperCAmelCase_							:     str = "dhaka"							,       UpperCAmelCase_							:     int = 5	)						->				int:




	'''simple docstring'''




	_UpperCamelCase   :		str			=						min(UpperCAmelCase_							,       5_0	)  # Prevent abuse!
	_UpperCamelCase   :		int			=						{
	    'q': query,
	    'tbm': 'isch',
	    'hl': 'en',
	    'ijn': '0',
	}

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

	_UpperCamelCase   :		Optional[Any]			=						json.dumps(UpperCAmelCase_	)
	_UpperCamelCase   :		List[str]			=						json.loads(UpperCAmelCase_	)

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

	_UpperCamelCase   :		Union[str, Any]			=						re.sub(
	    R'\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]'							,       ''							,       str(UpperCAmelCase_	)							,       )

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

import matplotlib.pyplot as plt  # type: ignore
import numpy

# initial triangle of Koch snowflake
lowerCAmelCase__								=		numpy.array([0, 0])
lowerCAmelCase__								=		numpy.array([0.5, 0.8_66_02_54])
lowerCAmelCase__								=		numpy.array([1, 0])
lowerCAmelCase__								=		[VECTOR_1, VECTOR_2, VECTOR_3, VECTOR_1]






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[numpy.ndarray]							,       UpperCAmelCase_							:     int	)						->				list[numpy.ndarray]:




	'''simple docstring'''




	_UpperCamelCase   :		Tuple			=						initial_vectors
	for _ in range(UpperCAmelCase_	):
		_UpperCamelCase   :		str			=						iteration_step(UpperCAmelCase_	)
	return vectors






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[numpy.ndarray]	)						->				list[numpy.ndarray]:




	'''simple docstring'''




	_UpperCamelCase   :		int			=						[]
	for i, start_vector in enumerate(vectors[:-1]	):
		_UpperCamelCase   :		Union[str, Any]			=						vectors[i + 1]
		new_vectors.append(UpperCAmelCase_	)
		_UpperCamelCase   :		Tuple			=						end_vector - start_vector
		new_vectors.append(start_vector + difference_vector / 3	)
		new_vectors.append(
		    start_vector + difference_vector / 3 + rotate(difference_vector / 3							,       6_0	)	)
		new_vectors.append(start_vector + difference_vector * 2 / 3	)
	new_vectors.append(vectors[-1]	)
	return new_vectors






def 					lowerCamelCase_     (							UpperCAmelCase_							:     numpy.ndarray							,       UpperCAmelCase_							:     float	)						->				numpy.ndarray:




	'''simple docstring'''




	_UpperCamelCase   :		str			=						numpy.radians(UpperCAmelCase_	)
	_UpperCamelCase	,		_UpperCamelCase   :		Optional[Any]			=						numpy.cos(UpperCAmelCase_	), numpy.sin(UpperCAmelCase_	)
	_UpperCamelCase   :		Any			=						numpy.array(((c, -s), (s, c))	)
	return numpy.dot(UpperCAmelCase_							,       UpperCAmelCase_	)






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[numpy.ndarray]	)						->				None:




	'''simple docstring'''




	_UpperCamelCase   :		str			=						plt.gca()
	axes.set_aspect('equal'	)

	# matplotlib.pyplot.plot takes a list of all x-coordinates and a list of all
	# y-coordinates as inputs, which are constructed from the vector-list using
	# zip()
	_UpperCamelCase	,		_UpperCamelCase   :		Dict			=						zip(*UpperCAmelCase_	)
	plt.plot(UpperCAmelCase_							,       UpperCAmelCase_	)
	plt.show()


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							lowerCAmelCase__								=		iterate(INITIAL_VECTORS, 5)
							plot(processed_vectors)




