



'''simple docstring'''



import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
							from .tokenization_rembert import RemBertTokenizer
else:
							lowerCAmelCase_     :       Union[str, Any]								=						None

lowerCAmelCase_     :       Dict								=						logging.get_logger(__name__)
lowerCAmelCase_     :       int								=						{'vocab_file': 'sentencepiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase_     :       Any								=						{
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
    'tokenizer_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/tokenizer.json',
    },
}

lowerCAmelCase_     :       Optional[Any]								=						{
    'google/rembert': 256,
}

lowerCAmelCase_     :       Tuple								=						'▁'
class 	lowerCamelCase_							(					snake_case_			):
						_lowerCAmelCase     :   List[Any]	     =				VOCAB_FILES_NAMES
						_lowerCAmelCase     :   List[str]	     =				PRETRAINED_VOCAB_FILES_MAP
						_lowerCAmelCase     :   Dict	     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_lowerCAmelCase     :   Union[str, Any]	     =				RemBertTokenizer







						def __init__(  self   :      Union[str, Any]				,    lowerCAmelCase__   :      Union[str, Any]=None				,    lowerCAmelCase__   :      str=None				,    lowerCAmelCase__   :      List[str]=True				,    lowerCAmelCase__   :      Optional[Any]=True				,    lowerCAmelCase__   :      Union[str, Any]=False				,    lowerCAmelCase__   :      int="[CLS]"				,    lowerCAmelCase__   :      Dict="[SEP]"				,    lowerCAmelCase__   :      Optional[Any]="<unk>"				,    lowerCAmelCase__   :      Union[str, Any]="[SEP]"				,    lowerCAmelCase__   :      List[Any]="<pad>"				,    lowerCAmelCase__   :      Union[str, Any]="[CLS]"				,    lowerCAmelCase__   :      List[Any]="[MASK]"				,    **lowerCAmelCase__   :      Union[str, Any]				,    ):

													"""simple docstring"""
													# Mask token behave like a normal word, i.e. include the space before it
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			AddedToken(lowerCAmelCase__				,    lstrip=lowerCAmelCase__				,    rstrip=lowerCAmelCase__				) if isinstance(lowerCAmelCase__				,    lowerCAmelCase__				) else mask_token

													super().__init__(
													    lowerCAmelCase__				,    tokenizer_file=lowerCAmelCase__				,    do_lower_case=lowerCAmelCase__				,    remove_space=lowerCAmelCase__				,    keep_accents=lowerCAmelCase__				,    bos_token=lowerCAmelCase__				,    eos_token=lowerCAmelCase__				,    unk_token=lowerCAmelCase__				,    sep_token=lowerCAmelCase__				,    pad_token=lowerCAmelCase__				,    cls_token=lowerCAmelCase__				,    mask_token=lowerCAmelCase__				,    **lowerCAmelCase__				,    )

													SCREAMING_SNAKE_CASE					:      Tuple     					=			do_lower_case
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			remove_space
													SCREAMING_SNAKE_CASE					:      Any     					=			keep_accents
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			vocab_file
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			False if not self.vocab_file else True







						def 					__lowercase    (  self   :      List[Any]				,    lowerCAmelCase__   :      List[int]				,    lowerCAmelCase__   :      Optional[List[int]] = None				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Tuple     					=			[self.sep_token_id]
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			[self.cls_token_id]
													if token_ids_a is None:
																				return cls + token_ids_a + sep
													return cls + token_ids_a + sep + token_ids_a + sep







						def 					__lowercase    (  self   :      Dict				,    lowerCAmelCase__   :      List[int]				,    lowerCAmelCase__   :      Optional[List[int]] = None				,    lowerCAmelCase__   :      bool = False				):

													"""simple docstring"""

													if already_has_special_tokens:
																				if token_ids_a is not None:
																											raise ValueError(
																											    '''You should not supply a second sequence if the provided sequence of '''
																											    '''ids is already formatted with special tokens for the model.'''				)
																				return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

													if token_ids_a is not None:
																				return [1] + ([0] * len(lowerCAmelCase__				)) + [1] + ([0] * len(lowerCAmelCase__				)) + [1]
													return [1] + ([0] * len(lowerCAmelCase__				)) + [1]







						def 					__lowercase    (  self   :      Any				,    lowerCAmelCase__   :      List[int]				,    lowerCAmelCase__   :      Optional[List[int]] = None				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      int     					=			[self.sep_token_id]
													SCREAMING_SNAKE_CASE					:      int     					=			[self.cls_token_id]

													if token_ids_a is None:
																				return len(cls + token_ids_a + sep				) * [0]
													return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]







						def 					__lowercase    (  self   :      List[Any]				,    lowerCAmelCase__   :      str				,    lowerCAmelCase__   :      Optional[str] = None				):

													"""simple docstring"""
													if not os.path.isdir(lowerCAmelCase__				):
																				logger.error('''Vocabulary path ({}) should be a directory'''.format(lowerCAmelCase__				)				)
																				return
													SCREAMING_SNAKE_CASE					:      str     					=			os.path.join(
													    lowerCAmelCase__				,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

													if os.path.abspath(self.vocab_file				) != os.path.abspath(lowerCAmelCase__				):
																				copyfile(self.vocab_file				,    lowerCAmelCase__				)

													return (out_vocab_file,)









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

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

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

							SCREAMING_SNAKE_CASE					:      Optional[int]     					=			0
							SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			0
							SCREAMING_SNAKE_CASE					:      Tuple     					=			tqdm(desc='''downloading real regularization images'''					,		total=A				)

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


if __name__ == "__main__":
							lowerCAmelCase_     :       List[str]								=						parse_args()
							retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)




