


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

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


if is_sentencepiece_available():
		from .tokenization_ta import TaTokenizer
else:
		UpperCAmelCase   :    Any     =		None


UpperCAmelCase   :    str     =		logging.get_logger(__name__)

UpperCAmelCase   :    str     =		{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase   :    Union[str, Any]     =		{
    "vocab_file": {
        "t5-small": "https://huggingface.co/t5-small/resolve/main/spiece.model",
        "t5-base": "https://huggingface.co/t5-base/resolve/main/spiece.model",
        "t5-large": "https://huggingface.co/t5-large/resolve/main/spiece.model",
        "t5-3b": "https://huggingface.co/t5-3b/resolve/main/spiece.model",
        "t5-11b": "https://huggingface.co/t5-11b/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "t5-small": "https://huggingface.co/t5-small/resolve/main/tokenizer.json",
        "t5-base": "https://huggingface.co/t5-base/resolve/main/tokenizer.json",
        "t5-large": "https://huggingface.co/t5-large/resolve/main/tokenizer.json",
        "t5-3b": "https://huggingface.co/t5-3b/resolve/main/tokenizer.json",
        "t5-11b": "https://huggingface.co/t5-11b/resolve/main/tokenizer.json",
    },
}


# TODO(PVP) - this should be removed in Transformers v5
UpperCAmelCase   :    Any     =		{
    "t5-small": 5_12,
    "t5-base": 5_12,
    "t5-large": 5_12,
    "t5-3b": 5_12,
    "t5-11b": 5_12,
}







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		VOCAB_FILES_NAMES
		UpperCamelCase     :					Optional[Any]			       =		PRETRAINED_VOCAB_FILES_MAP
		UpperCamelCase     :					Tuple			       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		UpperCamelCase     :					Dict			       =		["input_ids", "attention_mask"]
		UpperCamelCase     :					Optional[Any]			       =		TaTokenizer

		UpperCamelCase     :					List[int]			       =		[]







		def __init__( self		,      A=None		,      A=None		,      A="</s>"		,      A="<unk>"		,      A="<pad>"		,      A=1_00		,      A=None		,      **A		,      )  -> Optional[Any]:







					'''simple docstring'''







					if extra_ids > 0 and additional_special_tokens is None:
								lowerCamelCase    		=  [F'<extra_id_{i}>' for i in range(A	)]
					elif extra_ids > 0 and additional_special_tokens is not None:
								# Check that we have the right number of extra special tokens
								lowerCamelCase    		=  len(set(filter(lambda A	: bool("""extra_id_""" in str(A	)	)		,      A	)	)	)
								if extra_tokens != extra_ids:
											raise ValueError(
											    F'Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'
											    """ provided to T5Tokenizer. In this case the additional_special_tokens must include the extra_ids"""
											    """ tokens"""	)

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

					lowerCamelCase    		=  vocab_file
					lowerCamelCase    		=  False if not self.vocab_file else True
					lowerCamelCase    		=  extra_ids







		@staticmethod
		def 					__A   ( A		,      A		,      A	)  -> str:







					'''simple docstring'''







					if pretrained_model_name_or_path in TaTokenizerFast.max_model_input_sizes:
								lowerCamelCase    		=  TaTokenizerFast.max_model_input_sizes[pretrained_model_name_or_path]
								if init_max_model_length is not None and init_max_model_length != max_model_length:
											return init_max_model_length
								elif init_max_model_length is None:
											warnings.warn(
											    """This tokenizer was incorrectly instantiated with a model max length of"""
											    F' {deprecated_max_model_length} which will be corrected in Transformers v5.\nFor now, this'
											    """ behavior is kept to avoid breaking backwards compatibility when padding/encoding with"""
											    """ `truncation is True`.\n- Be aware that you SHOULD NOT rely on"""
											    F' {pretrained_model_name_or_path} automatically truncating your input to'
											    F' {deprecated_max_model_length} when padding/encoding.\n- If you want to encode/pad to sequences'
											    F' longer than {deprecated_max_model_length} you can either instantiate this tokenizer with'
											    """ `model_max_length` or pass `max_length` when encoding/padding.\n- To avoid this warning, please"""
											    """ instantiate this tokenizer with `model_max_length` set to your preferred value."""		,      A		,      )

					return max_model_length







		def 					__A   ( self		,      A		,      A = None	)  -> Tuple[str]:







					'''simple docstring'''







					if not self.can_save_slow_tokenizer:
								raise ValueError(
								    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
								    """tokenizer."""	)

					if not os.path.isdir(A	):
								logger.error(F'Vocabulary path ({save_directory}) should be a directory'	)
								return
					lowerCamelCase    		=  os.path.join(
					    A		,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]	)

					if os.path.abspath(self.vocab_file	) != os.path.abspath(A	):
								copyfile(self.vocab_file		,      A	)
								logger.info(F'Copy vocab file to {out_vocab_file}'	)

					return (out_vocab_file,)







		def 					__A   ( self		,      A		,      A = None	)  -> List[int]:







					'''simple docstring'''







					lowerCamelCase    		=  token_ids_a + [self.eos_token_id]
					if token_ids_a is None:
								return self.prefix_tokens + token_ids_a
					else:
								lowerCamelCase    		=  token_ids_a + [self.eos_token_id]
								return self.prefix_tokens + token_ids_a + token_ids_a







		def 					__A   ( self		,      A		,      A = None	)  -> List[int]:







					'''simple docstring'''







					lowerCamelCase    		=  [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 					__A   ( self	)  -> str:







					'''simple docstring'''







					return list(
					    set(filter(lambda A	: bool(re.search(r"""<extra_id_\d+>"""		,      A	)	) is not None		,      self.additional_special_tokens	)	)	)







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







					'''simple docstring'''







					return [self.convert_tokens_to_ids(A	) for token in self.get_sentinel_tokens()]





from ..utils import DummyObject, requires_backends







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[Any]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> List[str]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Union[str, Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[int]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Union[str, Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Dict			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[int]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Union[str, Any]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Tuple:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[int]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[Any]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> List[Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Any			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[str]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> int:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Optional[int]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Optional[int]			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> List[str]:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Any:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







class        __lowercase       (							metaclass=a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Tuple			       =		["flax"]







		def __init__( self		,      *A		,      **A	)  -> str:







					'''simple docstring'''







					requires_backends(self		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Dict:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)







		@classmethod
		def 					__A   ( cls		,      *A		,      **A	)  -> Union[str, Any]:







					'''simple docstring'''







					requires_backends(cls		,      ["""flax"""]	)

