




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

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

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

	a									=				0
	a									=				0
	a									=				tqdm(desc="""downloading real regularization images"""				,     total=__lowerCamelCase       )

	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:
			a									=				class_images[count]
			count += 1
			try:
				a									=				requests.get(images["""url"""]       )
				if img.status_code == 200:
					a									=				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						(      ) ->			Any:
	a									=				argparse.ArgumentParser(""""""				,     add_help=__lowerCamelCase       )
	parser.add_argument("""--class_prompt"""				,     help="""text prompt to retrieve images"""				,     required=__lowerCamelCase				,     type=__lowerCamelCase       )
	parser.add_argument("""--class_data_dir"""				,     help="""path to save images"""				,     required=__lowerCamelCase				,     type=__lowerCamelCase       )
	parser.add_argument("""--num_class_images"""				,     help="""number of images to download"""				,     default=200				,     type=__lowerCamelCase       )
	return parser.parse_args()


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







import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin

class 						__lowerCAmelCase      (      __magic_name__ ,			unittest.TestCase					):
							UpperCamelCase__   	=    TransfoXLTokenizer
							UpperCamelCase__   	=    False
							UpperCamelCase__   	=    False
							def  lowerCamelCase__				(		self		:Optional[Any]							):







								'''simple docstring'''







								super().setUp()

								a									=				[
								    """<unk>""",
								    """[CLS]""",
								    """[SEP]""",
								    """want""",
								    """unwanted""",
								    """wa""",
								    """un""",
								    """running""",
								    """,""",
								    """low""",
								    """l""",
								]
								a									=				os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES["""vocab_file"""]							)
								with open(self.vocab_file						, """w"""						, encoding="""utf-8"""							) as vocab_writer:
									vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]							)							)
							def  lowerCamelCase__				(		self		:List[Any]						, **__magic_name__		:Optional[int]							):







								'''simple docstring'''







								a									=				True
								return TransfoXLTokenizer.from_pretrained(self.tmpdirname						, **__magic_name__							)
							def  lowerCamelCase__				(		self		:Union[str, Any]						, __magic_name__		:int							):







								'''simple docstring'''







								a									=				"""<unk> UNwanted , running"""
								a									=				"""<unk> unwanted, running"""
								return input_text, output_text
							def  lowerCamelCase__				(		self		:str							):







								'''simple docstring'''







								a									=				TransfoXLTokenizer(vocab_file=self.vocab_file						, lower_case=__magic_name__							)

								a									=				tokenizer.tokenize("""<unk> UNwanted , running"""							)
								self.assertListEqual(__magic_name__						, ["""<unk>""", """unwanted""", """,""", """running"""]							)

								self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__							)						, [0, 4, 8, 7]							)
							def  lowerCamelCase__				(		self		:int							):







								'''simple docstring'''







								a									=				TransfoXLTokenizer(lower_case=__magic_name__							)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """							)						, ["""hello""", """!""", """how""", """are""", """you""", """?"""]							)
							def  lowerCamelCase__				(		self		:str							):







								'''simple docstring'''







								a									=				TransfoXLTokenizer(lower_case=__magic_name__							)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """							)						, ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
							def  lowerCamelCase__				(		self		:Optional[int]							):







								'''simple docstring'''







								a									=				TransfoXLTokenizer(lower_case=__magic_name__							)
								a									=				"""Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
								a									=				[
								    """Hello""",
								    """(""",
								    """bracket""",
								    """)""",
								    """and""",
								    """side""",
								    """@-@""",
								    """scrolled""",
								    """[""",
								    """and""",
								    """]""",
								    """Henry""",
								    """'s""",
								    """$""",
								    """5""",
								    """@,@""",
								    """000""",
								    """with""",
								    """3""",
								    """@.@""",
								    """34""",
								    """m""",
								    """.""",
								    """What""",
								    """'s""",
								    """up""",
								    """!""",
								    """?""",
								]

								self.assertListEqual(tokenizer.tokenize(__magic_name__							)						, __magic_name__							)

								self.assertEqual(tokenizer.convert_tokens_to_string(__magic_name__							)						, __magic_name__							)





							def  lowerCamelCase__				(		self		:List[Any]							):







								'''simple docstring'''







								a									=				self.get_tokenizer()
								a									=				len(__magic_name__							)

								tokenizer.add_tokens(["""new1""", """new2"""]							)
								tokenizer.move_added_token("""new1"""						, 1							)

								# Check that moved token is not copied (duplicate)
								self.assertEqual(len(__magic_name__							)						, original_len + 2							)
								# Check that token is moved to specified id
								self.assertEqual(tokenizer.encode("""new1"""							)						, [1]							)
								self.assertEqual(tokenizer.decode([1]							)						, """new1"""							)

