





'''simple docstring'''



import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					=    {'''vocab_file''': '''spiece.model'''}

_SCREAMING_SNAKE_CASE					=    {
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    }
}

_SCREAMING_SNAKE_CASE					=    {
    '''google/bigbird-roberta-base''': 4_0_9_6,
    '''google/bigbird-roberta-large''': 4_0_9_6,
    '''google/bigbird-base-trivia-itc''': 4_0_9_6,
}






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	a    :				int											=       VOCAB_FILES_NAMES
	a    :				List[str]											=       PRETRAINED_VOCAB_FILES_MAP
	a    :				List[str]											=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a    :				Tuple											=       ["input_ids", "attention_mask"]
	a    :				List[int]											=       []


	def __init__(self     ,_lowerCamelCase     ,_lowerCamelCase="<unk>"     ,_lowerCamelCase="<s>"     ,_lowerCamelCase="</s>"     ,_lowerCamelCase="<pad>"     ,_lowerCamelCase="[SEP]"     ,_lowerCamelCase="[MASK]"     ,_lowerCamelCase="[CLS]"     ,_lowerCamelCase = None     ,**_lowerCamelCase     ,)							->							None:







				'''simple docstring'''





				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else bos_token
				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else eos_token
				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else unk_token
				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else pad_token
				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else cls_token
				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else sep_token

				# Mask token behave like a normal word, i.e. include the space before it
				__lowercase										=							AddedToken(_lowerCamelCase     ,lstrip=_lowerCamelCase     ,rstrip=_lowerCamelCase ) if isinstance(_lowerCamelCase     ,_lowerCamelCase ) else mask_token

				__lowercase										=							{} if sp_model_kwargs is None else sp_model_kwargs

				super().__init__(
				    bos_token=_lowerCamelCase     ,eos_token=_lowerCamelCase     ,unk_token=_lowerCamelCase     ,pad_token=_lowerCamelCase     ,sep_token=_lowerCamelCase     ,mask_token=_lowerCamelCase     ,cls_token=_lowerCamelCase     ,sp_model_kwargs=self.sp_model_kwargs     ,**_lowerCamelCase     ,)

				__lowercase										=							vocab_file

				__lowercase										=							spm.SentencePieceProcessor(**self.sp_model_kwargs )
				self.sp_model.Load(_lowerCamelCase )


	@property
	def 						_UpperCAmelCase     (self )							->							Union[str, Any]:







				'''simple docstring'''





				return self.sp_model.get_piece_size()


	def 						_UpperCAmelCase     (self )							->							List[str]:







				'''simple docstring'''





				__lowercase										=							{self.convert_ids_to_tokens(_lowerCamelCase ): i for i in range(self.vocab_size )}
				vocab.update(self.added_tokens_encoder )
				return vocab


	def __getstate__(self )							->							Dict:







				'''simple docstring'''





				__lowercase										=							self.__dict__.copy()
				__lowercase										=							None
				return state


	def __setstate__(self     ,_lowerCamelCase )							->							int:







				'''simple docstring'''





				__lowercase										=							d

				# for backward compatibility
				if not hasattr(self     ,'''sp_model_kwargs''' ):
							__lowercase										=							{}

				__lowercase										=							spm.SentencePieceProcessor(**self.sp_model_kwargs )
				self.sp_model.Load(self.vocab_file )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[str]:







				'''simple docstring'''





				return self.sp_model.encode(_lowerCamelCase     ,out_type=_lowerCamelCase )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							int:







				'''simple docstring'''





				return self.sp_model.piece_to_id(_lowerCamelCase )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							Optional[int]:







				'''simple docstring'''





				__lowercase										=							self.sp_model.IdToPiece(_lowerCamelCase )
				return token


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							str:







				'''simple docstring'''





				__lowercase										=							[]
				__lowercase										=							''''''
				__lowercase										=							False
				for token in tokens:
							# make sure that special tokens are not decoded using sentencepiece model
							if token in self.all_special_tokens:
										if not prev_is_special:
													out_string += " "
										out_string += self.sp_model.decode(_lowerCamelCase ) + token
										__lowercase										=							True
										__lowercase										=							[]
							else:
										current_sub_tokens.append(_lowerCamelCase )
										__lowercase										=							False
				out_string += self.sp_model.decode(_lowerCamelCase )
				return out_string.strip()


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = False     ,_lowerCamelCase = None     ,_lowerCamelCase = True     ,**_lowerCamelCase     ,)							->							str:







				'''simple docstring'''





				__lowercase										=							kwargs.pop('''use_source_tokenizer'''     ,_lowerCamelCase )

				__lowercase										=							self.convert_ids_to_tokens(_lowerCamelCase     ,skip_special_tokens=_lowerCamelCase )

				# To avoid mixing byte-level and unicode for byte-level BPT
				# we need to build string separately for added tokens and byte-level tokens
				# cf. https://github.com/huggingface/transformers/issues/1133
				__lowercase										=							[]
				__lowercase										=							[]
				for token in filtered_tokens:
							if skip_special_tokens and token in self.all_special_ids:
										continue
							if token in self.added_tokens_encoder:
										if current_sub_text:
													sub_texts.append(self.convert_tokens_to_string(_lowerCamelCase ) )
													__lowercase										=							[]
										sub_texts.append(_lowerCamelCase )
							else:
										current_sub_text.append(_lowerCamelCase )
				if current_sub_text:
							sub_texts.append(self.convert_tokens_to_string(_lowerCamelCase ) )

				# Mimic the behavior of the Rust tokenizer:
				# No space before [MASK] and [SEP]
				if spaces_between_special_tokens:
							__lowercase										=							re.sub(R''' (\[(MASK|SEP)\])'''     ,R'''\1'''     ,''' '''.join(_lowerCamelCase ) )
				else:
							__lowercase										=							''''''.join(_lowerCamelCase )

				__lowercase										=							(
				    clean_up_tokenization_spaces
				    if clean_up_tokenization_spaces is not None
				    else self.clean_up_tokenization_spaces
				)
				if clean_up_tokenization_spaces:
							__lowercase										=							self.clean_up_tokenization(_lowerCamelCase )
							return clean_text
				else:
							return text


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							Tuple[str]:







				'''simple docstring'''





				if not os.path.isdir(_lowerCamelCase ):
							logger.error(f"Vocabulary path ({save_directory}) should be a directory" )
							return
				__lowercase										=							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 ) and os.path.isfile(self.vocab_file ):
							copyfile(self.vocab_file     ,_lowerCamelCase )
				elif not os.path.isfile(self.vocab_file ):
							with open(_lowerCamelCase     ,'''wb''' ) as fi:
										__lowercase										=							self.sp_model.serialized_model_proto()
										fi.write(_lowerCamelCase )

				return (out_vocab_file,)


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							List[int]:







				'''simple docstring'''





				if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				__lowercase										=							[self.cls_token_id]
				__lowercase										=							[self.sep_token_id]
				return cls + token_ids_a + sep + token_ids_a + sep


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None     ,_lowerCamelCase = False )							->							List[int]:







				'''simple docstring'''





				if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=_lowerCamelCase     ,token_ids_a=_lowerCamelCase     ,already_has_special_tokens=_lowerCamelCase )

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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							List[int]:







				'''simple docstring'''





				__lowercase										=							[self.sep_token_id]
				__lowercase										=							[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]












'''simple docstring'''



from argparse import ArgumentParser

from .env import EnvironmentCommand




def    _lowerCAmelCase						(				):
			__lowercase										=							ArgumentParser('''Diffusers CLI tool'''		,       usage='''diffusers-cli <command> [<args>]'''				)
			__lowercase										=							parser.add_subparsers(help='''diffusers-cli command helpers'''				)

			# Register commands
			EnvironmentCommand.register_subcommand(lowerCamelCase_				)

			# Let's go
			__lowercase										=							parser.parse_args()

			if not hasattr(lowerCamelCase_		,       '''func'''				):
						parser.print_help()
						exit(1				)

			# Run
			__lowercase										=							args.func(lowerCamelCase_				)
			service.run()


if __name__ == "__main__":
	main()





