


"""simple docstring"""




import warnings
from typing import Dict, List, Optional, Tuple

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


lowercase_			     =  logging.get_logger(__name__)
class 					__lowerCAmelCase					(   lowercase_       ):


		'''simple docstring'''



		__UpperCAmelCase		:			Any										=				['input_ids', 'attention_mask']

		def __init__(  self							, _a="</s>"							, _a="<unk>"							, _a="<pad>"							, _a=125							, _a=None							, **_a							, ):


				if extra_ids > 0 and additional_special_tokens is None:
						__a           =			[f'''<extra_id_{i}>''' for i in range(__UpperCamelCase      )]
				elif extra_ids > 0 and additional_special_tokens is not None:
						# Check that we have the right number of extra_id special tokens
						__a           =			len(set(filter(lambda _a      : bool('''extra_id''' in str(__UpperCamelCase      )      )							, __UpperCamelCase      )      )      )
						if extra_tokens != extra_ids:
								raise ValueError(
								    f'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
								    ''' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'''
								    ''' extra_ids tokens'''      )

				__a           =			AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase							, __UpperCamelCase      ) else pad_token
				__a           =			AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase							, __UpperCamelCase      ) else eos_token
				__a           =			AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase      ) if isinstance(__UpperCamelCase							, __UpperCamelCase      ) else unk_token

				super().__init__(
				    eos_token=__UpperCamelCase							, unk_token=__UpperCamelCase							, pad_token=__UpperCamelCase							, extra_ids=__UpperCamelCase							, additional_special_tokens=__UpperCamelCase							, **__UpperCamelCase							, )

				__a           =			extra_ids

				__a           =			2**8  # utf is 8 bits

				# define special tokens dict
				__a           =			{
				    self.pad_token: 0,
				    self.eos_token: 1,
				    self.unk_token: 2,
				}
				__a           =			len(self.special_tokens_encoder      )
				__a           =			len(__UpperCamelCase      )
				for i, token in enumerate(__UpperCamelCase      ):
						__a           =			self.vocab_size + i - n
				__a           =			{v: k for k, v in self.special_tokens_encoder.items()}

		@property
		def 			__UpperCAmelCase       (  self      ):
				return self._utf_vocab_size + self._num_special_tokens + self._extra_ids

		def 			__UpperCAmelCase       (  self							, _a							, _a = None							, _a = False      ):


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

				# normal case: some special tokens
				if token_ids_a is None:
						return ([0] * len(__UpperCamelCase      )) + [1]
				return ([0] * len(__UpperCamelCase      )) + [1] + ([0] * len(__UpperCamelCase      )) + [1]

		def 			__UpperCAmelCase       (  self							, _a      ):


				if len(__UpperCamelCase      ) > 0 and token_ids[-1] == self.eos_token_id:
						warnings.warn(
						    f'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
						    ''' eos tokens being added.'''      )
						return token_ids
				else:
						return token_ids + [self.eos_token_id]

		def 			__UpperCAmelCase       (  self							, _a							, _a = None      ):
				__a           =			[self.eos_token_id]

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

		def 			__UpperCAmelCase       (  self							, _a							, _a = None      ):
				__a           =			self._add_eos_if_not_present(__UpperCamelCase      )
				if token_ids_a is None:
						return token_ids_a
				else:
						__a           =			self._add_eos_if_not_present(__UpperCamelCase      )
						return token_ids_a + token_ids_a

		def 			__UpperCAmelCase       (  self							, _a      ):
				__a           =			[chr(__UpperCamelCase      ) for i in text.encode('''utf-8'''      )]
				return tokens

		def 			__UpperCAmelCase       (  self							, _a      ):


				if token in self.special_tokens_encoder:
						__a           =			self.special_tokens_encoder[token]
				elif token in self.added_tokens_encoder:
						__a           =			self.added_tokens_encoder[token]
				elif len(__UpperCamelCase      ) != 1:
						__a           =			self.unk_token_id
				else:
						__a           =			ord(__UpperCamelCase      ) + self._num_special_tokens
				return token_id

		def 			__UpperCAmelCase       (  self							, _a      ):


				if index in self.special_tokens_decoder:
						__a           =			self.special_tokens_decoder[index]
				else:
						__a           =			chr(index - self._num_special_tokens      )
				return token

		def 			__UpperCAmelCase       (  self							, _a      ):
				__a           =			B''
				for token in tokens:
						if token in self.special_tokens_decoder:
								__a           =			self.special_tokens_decoder[token].encode('''utf-8'''      )
						elif token in self.added_tokens_decoder:
								__a           =			self.special_tokens_decoder[token].encode('''utf-8'''      )
						elif token in self.special_tokens_encoder:
								__a           =			token.encode('''utf-8'''      )
						elif token in self.added_tokens_encoder:
								__a           =			token.encode('''utf-8'''      )
						else:
								__a           =			bytes([ord(__UpperCamelCase      )]      )
						bstring += tok_string
				__a           =			bstring.decode('''utf-8'''							, errors='''ignore'''      )
				return string





		def 			__UpperCAmelCase       (  self							, _a							, _a = None      ):
				return ()







"""simple docstring"""







from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info



def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Optional[int]      ):
     return {key.lstrip('-'      ): value for key, value in zip(unknown_args[::2]     ,			unknown_args[1::2]      )}



def 			lowercase__(       ):
     lowercase_	:				Any													=	ArgumentParser(
         'HuggingFace Datasets CLI tool'     ,			usage='datasets-cli <command> [<args>]'     ,			allow_abbrev=__SCREAMING_SNAKE_CASE      )
     lowercase_	:				Tuple													=	parser.add_subparsers(help='datasets-cli command helpers'      )
     set_verbosity_info()

     # Register commands
     ConvertCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     EnvironmentCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     TestCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     RunBeamCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )
     DummyDataCommand.register_subcommand(__SCREAMING_SNAKE_CASE      )

     # Parse args
     lowercase_							,  lowercase_	:				Dict													=	parser.parse_known_args()
     if not hasattr(__SCREAMING_SNAKE_CASE     ,			'func'      ):
          parser.print_help()
          exit(1      )
     lowercase_	:				int													=	parse_unknown_args(__SCREAMING_SNAKE_CASE      )

     # Run
     lowercase_	:				List[Any]													=	args.func(__SCREAMING_SNAKE_CASE     ,			**__SCREAMING_SNAKE_CASE      )
     service.run()


if __name__ == "__main__":
       main()

