






'''simple docstring'''
import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm





def 	_a(					UpperCamelCase__			:  List[Any],		UpperCamelCase__			:  Tuple,		UpperCamelCase__			:  int							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__       :			str													=1.5
      SCREAMING_SNAKE_CASE__       :			int													=int(factor * num_class_images							)
      SCREAMING_SNAKE_CASE__       :			Optional[int]													=ClipClient(
          url='''https://knn.laion.ai/knn-service''',		indice_name='''laion_400m''',		num_images=_UpperCAmelCase,		aesthetic_weight=0.1							)

      os.makedirs(f"{class_data_dir}/images",		exist_ok=_UpperCAmelCase							)
      if len(list(Path(f"{class_data_dir}/images"							).iterdir()							)							) >= num_class_images:
            return

      while True:
            SCREAMING_SNAKE_CASE__       :			str													=client.query(text=_UpperCAmelCase							)
            if len(_UpperCAmelCase							) >= factor * num_class_images or num_images > 1e4:
                  break
            else:
                  SCREAMING_SNAKE_CASE__       :			int													=int(factor * num_images							)
                  SCREAMING_SNAKE_CASE__       :			List[Any]													=ClipClient(
                      url='''https://knn.laion.ai/knn-service''',		indice_name='''laion_400m''',		num_images=_UpperCAmelCase,		aesthetic_weight=0.1,		)

      SCREAMING_SNAKE_CASE__       :			Tuple													=0
      SCREAMING_SNAKE_CASE__       :			Dict													=0
      SCREAMING_SNAKE_CASE__       :			Optional[Any]													=tqdm(desc='''downloading real regularization images''',		total=_UpperCAmelCase							)

      with open(f"{class_data_dir}/caption.txt",		'''w'''							) as fa, open(f"{class_data_dir}/urls.txt",		'''w'''							) as fa, open(
          f"{class_data_dir}/images.txt",		'''w'''							) as fa:
            while total < num_class_images:
                  SCREAMING_SNAKE_CASE__       :			str													=class_images[count]
                  count += 1
                  try:
                        SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=requests.get(images['''url''']							)
                        if img.status_code == 2_0_0:
                              SCREAMING_SNAKE_CASE__       :			List[Any]													=Image.open(BytesIO(img.content							)							)
                              with open(f"{class_data_dir}/images/{total}.jpg",		'''wb'''							) as f:
                                    f.write(img.content							)
                              fa.write(images['''caption'''] + '''\n'''							)
                              fa.write(images['''url'''] + '''\n'''							)
                              fa.write(f"{class_data_dir}/images/{total}.jpg" + '''\n'''							)
                              total += 1
                              pbar.update(1							)
                        else:
                              continue
                  except Exception:
                        continue
      return





def 	_a(					):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__       :			Optional[Any]													=argparse.ArgumentParser('''''',		add_help=_UpperCAmelCase							)
      parser.add_argument('''--class_prompt''',		help='''text prompt to retrieve images''',		required=_UpperCAmelCase,		type=_UpperCAmelCase							)
      parser.add_argument('''--class_data_dir''',		help='''path to save images''',		required=_UpperCAmelCase,		type=_UpperCAmelCase							)
      parser.add_argument('''--num_class_images''',		help='''number of images to download''',		default=2_0_0,		type=_UpperCAmelCase							)
      return parser.parse_args()


if __name__ == "__main__":
  a_					=	parse_args()
  retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)








'''simple docstring'''
from decimal import Decimal, getcontext
from math import ceil, factorial





def 	_a(					UpperCamelCase__			:  int							):




      '''simple docstring'''






      if not isinstance(UpperCamelCase__,		UpperCamelCase__							):
            raise TypeError('''Undefined for non-integers'''							)
      elif precision < 1:
            raise ValueError('''Undefined for non-natural numbers'''							)

      SCREAMING_SNAKE_CASE__       :			Optional[Any]													=precision
      SCREAMING_SNAKE_CASE__       :			int													=ceil(precision / 1_4							)
      SCREAMING_SNAKE_CASE__       :			int													=4_2_6_8_8_0 * Decimal(1_0_0_0_5							).sqrt()
      SCREAMING_SNAKE_CASE__       :			Tuple													=1
      SCREAMING_SNAKE_CASE__       :			Any													=1_3_5_9_1_4_0_9
      SCREAMING_SNAKE_CASE__       :			List[Any]													=Decimal(UpperCamelCase__							)
      for k in range(1,		UpperCamelCase__							):
            SCREAMING_SNAKE_CASE__       :			str													=factorial(6 * k							) // (factorial(3 * k							) * factorial(UpperCamelCase__							) ** 3)
            linear_term += 5_4_5_1_4_0_1_3_4
            exponential_term *= -2_6_2_5_3_7_4_1_2_6_4_0_7_6_8_0_0_0
            partial_sum += Decimal(multinomial_term * linear_term							) / exponential_term
      return str(constant_term / partial_sum							)[:-1]


if __name__ == "__main__":
  a_					=	5_0
  print(F'''The first {n} digits of pi is: {pi(n)}''')