'''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 json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class       UpperCAmelCase  (						a__   ,						unittest.TestCase ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   OpenAIGPTTokenizer
       SCREAMING_SNAKE_CASE 		=   OpenAIGPTTokenizerFast
       SCREAMING_SNAKE_CASE 		=   True
       SCREAMING_SNAKE_CASE 		=   False

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowercase__    :   Optional[Any]						= [
            '''l''',
            '''o''',
            '''w''',
            '''e''',
            '''r''',
            '''s''',
            '''t''',
            '''i''',
            '''d''',
            '''n''',
            '''w</w>''',
            '''r</w>''',
            '''t</w>''',
            '''lo''',
            '''low''',
            '''er</w>''',
            '''low</w>''',
            '''lowest</w>''',
            '''newer</w>''',
            '''wider</w>''',
            '''<unk>''',
        ]
        lowercase__    :   Optional[int]						= dict(zip(__lowerCAmelCase     ,       range(len(__lowerCAmelCase			)			)			)			)
        lowercase__    :   Union[str, Any]						= ['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

        lowercase__    :   Optional[int]						= os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES['''vocab_file''']			)
        lowercase__    :   Optional[int]						= os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES['''merges_file''']			)
        with open(self.vocab_file     ,       '''w'''			) as fp:
         fp.write(json.dumps(__lowerCAmelCase			)			)
        with open(self.merges_file     ,       '''w'''			) as fp:
         fp.write('''\n'''.join(__lowerCAmelCase			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  Dict:
        return "lower newer", "lower newer"

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        lowercase__    :   int						= OpenAIGPTTokenizer(self.vocab_file     ,       self.merges_file			)

        lowercase__    :   List[Any]						= '''lower'''
        lowercase__    :   Any						= ['''low''', '''er</w>''']
        lowercase__    :   Union[str, Any]						= tokenizer.tokenize(__lowerCAmelCase			)
        self.assertListEqual(__lowerCAmelCase     ,       __lowerCAmelCase			)

        lowercase__    :   Tuple						= tokens + ['''<unk>''']
        lowercase__    :   Optional[Any]						= [14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase			)     ,       __lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase=15			)  ->  Optional[int]:
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""			):
          lowercase__    :   List[str]						= self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase     ,       **__lowerCAmelCase			)

          # Simple input
          lowercase__    :   List[str]						= '''This is a simple input'''
          lowercase__    :   Any						= ['''This is a simple input 1''', '''This is a simple input 2''']
          lowercase__    :   str						= ('''This is a simple input''', '''This is a pair''')
          lowercase__    :   str						= [
              ('''This is a simple input 1''', '''This is a simple input 2'''),
              ('''This is a simple pair 1''', '''This is a simple pair 2'''),
          ]

          # Simple input tests
          self.assertRaises(__lowerCAmelCase     ,       tokenizer_r.encode     ,       __lowerCAmelCase     ,       max_length=__lowerCAmelCase     ,       padding='''max_length'''			)

          # Simple input
          self.assertRaises(__lowerCAmelCase     ,       tokenizer_r.encode_plus     ,       __lowerCAmelCase     ,       max_length=__lowerCAmelCase     ,       padding='''max_length'''			)

          # Simple input
          self.assertRaises(
              __lowerCAmelCase     ,       tokenizer_r.batch_encode_plus     ,       __lowerCAmelCase     ,       max_length=__lowerCAmelCase     ,       padding='''max_length'''     ,       )

          # Pair input
          self.assertRaises(__lowerCAmelCase     ,       tokenizer_r.encode     ,       __lowerCAmelCase     ,       max_length=__lowerCAmelCase     ,       padding='''max_length'''			)

          # Pair input
          self.assertRaises(__lowerCAmelCase     ,       tokenizer_r.encode_plus     ,       __lowerCAmelCase     ,       max_length=__lowerCAmelCase     ,       padding='''max_length'''			)

          # Pair input
          self.assertRaises(
              __lowerCAmelCase     ,       tokenizer_r.batch_encode_plus     ,       __lowerCAmelCase     ,       max_length=__lowerCAmelCase     ,       padding='''max_length'''     ,       )


       def _lowerCAmelCase(						self			)  ->  Tuple:
        pass



@require_ftfy
@require_spacy
@require_tokenizers
class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       pass

