





"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


UpperCamelCase_	 =logging.get_logger(__name__)

UpperCamelCase_	 ={"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCamelCase_	 ={
    """vocab_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt""",
    },
    """tokenizer_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json""",
    },
}

UpperCamelCase_	 ={
    """microsoft/mpnet-base""": 512,
}

UpperCamelCase_	 ={
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}




class 					_a		( a_							):
				UpperCamelCase								=       VOCAB_FILES_NAMES
				UpperCamelCase								=       PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase								=       PRETRAINED_INIT_CONFIGURATION
				UpperCamelCase								=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase								=       MPNetTokenizer
				UpperCamelCase								=       ['''input_ids''', '''attention_mask''']






				def __init__(					self						:       Dict,					lowerCAmelCase__						:       Optional[int]=None,					lowerCAmelCase__						:       Any=None,					lowerCAmelCase__						:       str=True,					lowerCAmelCase__						:       int="<s>",					lowerCAmelCase__						:       Union[str, Any]="</s>",					lowerCAmelCase__						:       Tuple="</s>",					lowerCAmelCase__						:       Optional[Any]="<s>",					lowerCAmelCase__						:       Tuple="[UNK]",					lowerCAmelCase__						:       Any="<pad>",					lowerCAmelCase__						:       List[str]="<mask>",					lowerCAmelCase__						:       int=True,					lowerCAmelCase__						:       Optional[Any]=None,					**lowerCAmelCase__						:       int,					)      -> List[str]:




										'''simple docstring'''



										super().__init__(
										    snake_case__,					tokenizer_file=snake_case__,					do_lower_case=snake_case__,					bos_token=snake_case__,					eos_token=snake_case__,					sep_token=snake_case__,					cls_token=snake_case__,					unk_token=snake_case__,					pad_token=snake_case__,					mask_token=snake_case__,					tokenize_chinese_chars=snake_case__,					strip_accents=snake_case__,					**snake_case__,					)

										_UpperCamelCase     :   List[Any]      =       json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
										if (
										    pre_tok_state.get('''lowercase''',					snake_case__				) != do_lower_case
										    or pre_tok_state.get('''strip_accents''',					snake_case__				) != strip_accents
										):
																_UpperCamelCase     :   Dict      =       getattr(snake_case__,					pre_tok_state.pop('''type'''				)				)
																_UpperCamelCase     :   Dict      =       do_lower_case
																_UpperCamelCase     :   Dict      =       strip_accents
																_UpperCamelCase     :   Union[str, Any]      =       pre_tok_class(**snake_case__				)

										_UpperCamelCase     :   Optional[int]      =       do_lower_case






				@property
				def 							snake_case      (					self						:       int				)      -> List[Any]:




										'''simple docstring'''



										if self._mask_token is None:
																if self.verbose:
																						logger.error('''Using mask_token, but it is not set yet.'''				)
																return None
										return str(self._mask_token				)






				@mask_token.setter
				def 							snake_case      (					self						:       Optional[int],					lowerCAmelCase__						:       Union[str, Any]				)      -> Tuple:




										'''simple docstring'''



										_UpperCamelCase     :   int      =       AddedToken(snake_case__,					lstrip=snake_case__,					rstrip=snake_case__				) if isinstance(snake_case__,					snake_case__				) else value
										_UpperCamelCase     :   Dict      =       value






				def 							snake_case      (					self						:       str,					lowerCAmelCase__						:       Tuple,					lowerCAmelCase__						:       List[str]=None				)      -> Optional[Any]:




										'''simple docstring'''



										_UpperCamelCase     :   List[str]      =       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
										if token_ids_a is None:
																return output

										return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






				def 							snake_case      (					self						:       int,					lowerCAmelCase__						:       List[str],					lowerCAmelCase__						:       Optional[int] = None				)      -> Any:




										'''simple docstring'''



										_UpperCamelCase     :   List[str]      =       [self.sep_token_id]
										_UpperCamelCase     :   Union[str, Any]      =       [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 + sep + token_ids_a + sep				) * [0]






				def 							snake_case      (					self						:       int,					lowerCAmelCase__						:       Optional[Any],					lowerCAmelCase__						:       str = None				)      -> Any:




										'''simple docstring'''



										_UpperCamelCase     :   List[str]      =       self._tokenizer.model.save(snake_case__,					name=snake_case__				)
										return tuple(snake_case__				)








UpperCAmelCase :				Optional[int]							="""
# Diffusers installation
! pip install diffusers transformers datasets accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/diffusers.git
"""

UpperCAmelCase :				List[Any]							=[{"""type""": """code""", """content""": INSTALL_CONTENT}]
