



'''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       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase					):
 lowercase__    :   int						= 1.5
 lowercase__    :   Tuple						= int(factor * num_class_images					)
 lowercase__    :   Dict						= 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:
  lowercase__    :   List[Any]						= client.query(text=UpperCAmelCase					)
  if len(UpperCAmelCase					) >= factor * num_class_images or num_images > 1E4:
   break
  else:
   lowercase__    :   Dict						= int(factor * num_images					)
   lowercase__    :   str						= ClipClient(
       url='''https://knn.laion.ai/knn-service'''		,					indice_name='''laion_400m'''		,					num_images=UpperCAmelCase		,					aesthetic_weight=0.1		,					)

 lowercase__    :   Optional[Any]						= 0
 lowercase__    :   str						= 0
 lowercase__    :   List[str]						= 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:
   lowercase__    :   Optional[Any]						= class_images[count]
   count += 1
   try:
    lowercase__    :   List[str]						= requests.get(images['''url''']					)
    if img.status_code == 200:
     lowercase__    :   Union[str, 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       __UpperCamelCase	(       ):
 lowercase__    :   int						= 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=200		,					type=UpperCAmelCase					)
 return parser.parse_args()


if __name__ == "__main__":
  __a:			Optional[Any]	       =       parse_args()
  retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)


'''simple docstring'''

import re

from filelock import FileLock


try:
  import nltk

  __a:			Tuple	       =       True
except (ImportError, ModuleNotFoundError):
  __a:			List[Any]	       =       False

if NLTK_AVAILABLE:
  with FileLock(""".lock""") as lock:
    nltk.download("""punkt""", quiet=True)
def       __UpperCamelCase	(       UpperCAmelCase					):
 re.sub('''<n>'''		,					''''''		,					UpperCAmelCase					)  # remove pegasus newline char
 assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
 return "\n".join(nltk.sent_tokenize(UpperCAmelCase					)					)

