


"""simple docstring"""


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

import requests
from bsa import BeautifulSoup

A  :     Union[str, 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 _lowerCamelCase			(	_UpperCamelCase = "dhaka"					,				_UpperCamelCase = 5   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    min(_UpperCamelCase					,				50   )  # Prevent abuse!
			__lowerCAmelCase       					=    {
			    "q": query,
			    "tbm": "isch",
			    "hl": "en",
			    "ijn": "0",
			}

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

			__lowerCAmelCase       					=    json.dumps(_UpperCamelCase   )
			__lowerCAmelCase       					=    json.loads(_UpperCamelCase   )

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

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

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








"""simple docstring"""


from manim import *
class 						_UpperCamelCase						(     lowerCAmelCase__	):
							'''simple docstring'''







							def     snake_case       (  self			):
										__lowerCAmelCase       					=    Rectangle(height=0.5					,     width=0.5			)
										__lowerCAmelCase       					=    Rectangle(height=0.4_6					,     width=0.4_6			).set_stroke(width=0			)

										__lowerCAmelCase       					=    Rectangle(height=0.2_5					,     width=0.2_5			)

										__lowerCAmelCase       					=    [mem.copy() for i in range(6			)]
										__lowerCAmelCase       					=    [mem.copy() for i in range(6			)]
										__lowerCAmelCase       					=    VGroup(*__a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    VGroup(*__a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    VGroup(__a					,     __a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    Text("CPU"					,     font_size=24			)
										__lowerCAmelCase       					=    Group(__a					,     __a			).arrange(__a					,     buff=0.5					,     aligned_edge=__a			)
										cpu.move_to([-2.5, -0.5, 0]			)
										self.add(__a			)

										__lowerCAmelCase       					=    [mem.copy() for i in range(4			)]
										__lowerCAmelCase       					=    VGroup(*__a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    Text("GPU"					,     font_size=24			)
										__lowerCAmelCase       					=    Group(__a					,     __a			).arrange(__a					,     buff=0.5					,     aligned_edge=__a			)
										gpu.move_to([-1, -1, 0]			)
										self.add(__a			)

										__lowerCAmelCase       					=    [mem.copy() for i in range(6			)]
										__lowerCAmelCase       					=    VGroup(*__a			).arrange(__a					,     buff=0			)

										__lowerCAmelCase       					=    Text("Model"					,     font_size=24			)
										__lowerCAmelCase       					=    Group(__a					,     __a			).arrange(__a					,     buff=0.5					,     aligned_edge=__a			)
										model.move_to([3, -1.0, 0]			)
										self.add(__a			)

										__lowerCAmelCase       					=    []
										__lowerCAmelCase       					=    []

										for i, rect in enumerate(__a			):
													__lowerCAmelCase       					=    fill.copy().set_fill(__a					,     opacity=0.8			)
													target.move_to(__a			)
													model_arr.append(__a			)

													__lowerCAmelCase       					=    Rectangle(height=0.4_6					,     width=0.4_6			).set_stroke(width=0.0			).set_fill(__a					,     opacity=0.8			)
													cpu_target.move_to(cpu_left_col_base[i]			)
													model_cpu_arr.append(__a			)

										self.add(*__a					,     *__a			)

										__lowerCAmelCase       					=    [meta_mem.copy() for i in range(6			)]
										__lowerCAmelCase       					=    [meta_mem.copy() for i in range(6			)]
										__lowerCAmelCase       					=    VGroup(*__a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    VGroup(*__a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    VGroup(__a					,     __a			).arrange(__a					,     buff=0			)
										__lowerCAmelCase       					=    Text("Disk"					,     font_size=24			)
										__lowerCAmelCase       					=    Group(__a					,     __a			).arrange(__a					,     buff=0.5					,     aligned_edge=__a			)
										disk.move_to([-4, -1.2_5, 0]			)
										self.add(__a					,     __a			)

										__lowerCAmelCase       					=    Square(side_length=2.2			)
										key.move_to([-5, 2, 0]			)

										__lowerCAmelCase       					=    MarkupText(
										    f"<b>Key:</b>\n\n<span fgcolor='{YELLOW}'>●</span> Empty Model"					,     font_size=18					,     )

										key_text.move_to([-5, 2.4, 0]			)

										self.add(__a					,     __a			)

										__lowerCAmelCase       					=    MarkupText(
										    f"<span fgcolor='{BLUE}'>●</span> Checkpoint"					,     font_size=18					,     )

										blue_text.next_to(__a					,     DOWN * 2.4					,     aligned_edge=key_text.get_left()			)
										self.add(__a			)

										__lowerCAmelCase       					=    MarkupText(
										    f"Now watch as an input is passed through the model\nand how the memory is utilized and handled."					,     font_size=24					,     )
										step_a.move_to([2, 2, 0]			)

										self.play(Write(__a			)			)

										__lowerCAmelCase       					=    Square(0.3			)
										input.set_fill(__a					,     opacity=1.0			)
										input.set_stroke(width=0.0			)
										input.next_to(model_base[0]					,     __a					,     buff=0.5			)

										self.play(Write(__a			)			)

										input.generate_target()
										input.target.next_to(model_arr[0]					,     direction=__a					,     buff=0.0_2			)
										self.play(MoveToTarget(__a			)			)

										self.play(FadeOut(__a			)			)

										__lowerCAmelCase       					=    Arrow(start=__a					,     end=__a					,     color=__a					,     buff=0.5			)
										a.next_to(model_arr[0].get_left()					,     __a					,     buff=0.2			)

										model_cpu_arr[0].generate_target()
										model_cpu_arr[0].target.move_to(gpu_rect[0]			)

										__lowerCAmelCase       					=    MarkupText(
										    f"As the input reaches a layer, the hook triggers\nand weights are moved from the CPU\nto the GPU and back."					,     font_size=24					,     )
										step_a.move_to([2, 2, 0]			)

										self.play(Write(__a					,     run_time=3			)			)

										__lowerCAmelCase       					=    {"run_time": 1, "fade_in": True, "fade_out": True, "buff": 0.0_2}

										self.play(
										    Write(__a			)					,     Circumscribe(model_arr[0]					,     color=__a					,     **__a			)					,     Circumscribe(model_cpu_arr[0]					,     color=__a					,     **__a			)					,     Circumscribe(gpu_rect[0]					,     color=__a					,     **__a			)					,     )
										self.play(MoveToTarget(model_cpu_arr[0]			)			)

										__lowerCAmelCase       					=    a.copy()
										for i in range(6			):
													a_c.next_to(model_arr[i].get_right() + 0.0_2					,     __a					,     buff=0.2			)

													input.generate_target()
													input.target.move_to(model_arr[i].get_right() + 0.0_2			)

													__lowerCAmelCase       					=    AnimationGroup(
													    FadeOut(__a					,     run_time=0.5			)					,     MoveToTarget(__a					,     run_time=0.5			)					,     FadeIn(__a					,     run_time=0.5			)					,     lag_ratio=0.2			)

													self.play(__a			)

													model_cpu_arr[i].generate_target()
													model_cpu_arr[i].target.move_to(cpu_left_col_base[i]			)

													if i < 5:
																model_cpu_arr[i + 1].generate_target()
																model_cpu_arr[i + 1].target.move_to(gpu_rect[0]			)
																if i >= 1:
																			__lowerCAmelCase       					=    0.7

																self.play(
																    Circumscribe(model_arr[i]					,     **__a			)					,     Circumscribe(cpu_left_col_base[i]					,     **__a			)					,     Circumscribe(cpu_left_col_base[i + 1]					,     color=__a					,     **__a			)					,     Circumscribe(gpu_rect[0]					,     color=__a					,     **__a			)					,     Circumscribe(model_arr[i + 1]					,     color=__a					,     **__a			)					,     )
																if i < 1:
																			self.play(
																			    MoveToTarget(model_cpu_arr[i]			)					,     MoveToTarget(model_cpu_arr[i + 1]			)					,     )
																else:
																			self.play(
																			    MoveToTarget(model_cpu_arr[i]					,     run_time=0.7			)					,     MoveToTarget(model_cpu_arr[i + 1]					,     run_time=0.7			)					,     )
													else:
																model_cpu_arr[i].generate_target()
																model_cpu_arr[i].target.move_to(cpu_left_col_base[-1]			)
																input.generate_target()
																input.target.next_to(model_arr[-1].get_right()					,     RIGHT + 0.0_2					,     buff=0.2			)

																self.play(
																    Circumscribe(model_arr[-1]					,     color=__a					,     **__a			)					,     Circumscribe(cpu_left_col_base[-1]					,     color=__a					,     **__a			)					,     Circumscribe(gpu_rect[0]					,     color=__a					,     **__a			)					,     )

																self.play(MoveToTarget(model_cpu_arr[i]			)			)

													__lowerCAmelCase       					=    a_c
													__lowerCAmelCase       					=    a_c.copy()

										input.generate_target()
										input.target.next_to(model_base[-1]					,     RIGHT + 0.0_2					,     buff=0.5			)
										self.play(
										    FadeOut(__a			)					,     FadeOut(__a					,     run_time=0.5			)					,     )

										__lowerCAmelCase       					=    MarkupText(f"Inference on a model too large for GPU memory\nis successfully completed."					,     font_size=24			)
										step_a.move_to([2, 2, 0]			)

										self.play(Write(__a					,     run_time=3			)					,     MoveToTarget(__a			)			)

										self.wait()




