



from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


__A       =logging.get_logger(__name__)

__A       ={"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__A       ={
    "vocab_file": {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/vocab.json"},
    "merges_file": {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/merges.txt"},
    "tokenizer_file": {"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/tokenizer.json"},
}

__A       ={
    "openai-gpt": 5_1_2,
}

class 						UpperCAmelCase__     (     __UpperCamelCase  ):




			'''simple docstring'''






			UpperCamelCase     		=			VOCAB_FILES_NAMES
			UpperCamelCase     		=			PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase     		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase     		=			["""input_ids""", """attention_mask"""]
			UpperCamelCase     		=			OpenAIGPTTokenizer




			def __init__(  self				:					Any			,			a_				:					Union[str, Any]=None			,			a_				:					Dict=None			,			a_				:					Any=None			,			a_				:					int="<unk>"			,			**a_				:					Union[str, Any]					):
					'''simple docstring'''





					super().__init__(a_			,			a_			,			tokenizer_file=a_			,			unk_token=a_			,			**a_					)




			@property
			def 					snake_case__	(  self				:					List[str]					):
					'''simple docstring'''





					return True




			def 					snake_case__	(  self				:					str			,			a_				:					str			,			a_				:					Optional[str] = None					):
					'''simple docstring'''





					__UpperCAmelCase       :	List[Any]						=      self._tokenizer.model.save(a_			,			name=a_					)
					return tuple(a_					)










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


__A       ={}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A       =["BarthezTokenizer"]

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A       =["BarthezTokenizerFast"]


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez import BarthezTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_barthez_fast import BarthezTokenizerFast

else:
				import sys

				__A       =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





