


"""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 lowerCAmelCase_      (				UpperCamelCase__	: Optional[Any]				,   UpperCamelCase__	: List[str]				,   UpperCamelCase__	: Optional[Any] ):






 """simple docstring"""







 __lowercase									=	1.5
 __lowercase									=	int(factor * num_class_images )
 __lowercase									=	ClipClient(
     url="""https://knn.laion.ai/knn-service"""				,   indice_name="""laion_400m"""				,   num_images=_lowercase				,   aesthetic_weight=0.1 )

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

 while True:
  __lowercase									=	client.query(text=_lowercase )
  if len(_lowercase ) >= factor * num_class_images or num_images > 1E4:
   break
  else:
   __lowercase									=	int(factor * num_images )
   __lowercase									=	ClipClient(
       url="""https://knn.laion.ai/knn-service"""				,   indice_name="""laion_400m"""				,   num_images=_lowercase				,   aesthetic_weight=0.1				,   )

 __lowercase									=	0
 __lowercase									=	0
 __lowercase									=	tqdm(desc="""downloading real regularization images"""				,   total=_lowercase )

 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:
   __lowercase									=	class_images[count]
   count += 1
   try:
    __lowercase									=	requests.get(images["""url"""] )
    if img.status_code == 200:
     __lowercase									=	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 lowerCAmelCase_      (				):






 """simple docstring"""







 __lowercase									=	argparse.ArgumentParser(""""""				,   add_help=_lowercase )
 parser.add_argument("""--class_prompt"""				,   help="""text prompt to retrieve images"""				,   required=_lowercase				,   type=_lowercase )
 parser.add_argument("""--class_data_dir"""				,   help="""path to save images"""				,   required=_lowercase				,   type=_lowercase )
 parser.add_argument("""--num_class_images"""				,   help="""number of images to download"""				,   default=200				,   type=_lowercase )
 return parser.parse_args()


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




"""simple docstring"""

from collections.abc import Callable

import numpy as np


def lowerCAmelCase_      (				UpperCamelCase__	: Callable				,   UpperCamelCase__	: float				,   UpperCamelCase__	: float				,   UpperCamelCase__	: float				,   UpperCamelCase__	: float ):






 """simple docstring"""







 __lowercase									=	int(np.ceil((x_end - xa) / step_size ) )
 __lowercase									=	np.zeros((n + 1,) )
 __lowercase									=	ya
 __lowercase									=	xa

 for k in range(UpperCamelCase__ ):
  __lowercase									=	y[k] + step_size * ode_func(UpperCamelCase__				,   y[k] )
  x += step_size

 return y


if __name__ == "__main__":
       import doctest

       doctest.testmod()
