



import os
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_xglm import XGLMTokenizer
else:
							UpperCamelCase_	       =   None


UpperCamelCase_	       =   logging.get_logger(__name__)

UpperCamelCase_	       =   {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

UpperCamelCase_	       =   {
    "vocab_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json",
    },
}

UpperCamelCase_	       =   {
    "facebook/xglm-564M": 2_048,
}







class 							a_  (		_snake_case				):
						UpperCamelCase__      :						Any				       =VOCAB_FILES_NAMES
						UpperCamelCase__      :						Any				       =PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase__      :						List[str]				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase__      :						Optional[int]				       =["input_ids", "attention_mask"]
						UpperCamelCase__      :						List[str]				       =XGLMTokenizer

						def __init__(    self	:List[Any]   ,						_lowercase	:Optional[Any]=None   ,						_lowercase	:List[Any]=None   ,						_lowercase	:Dict="<s>"   ,						_lowercase	:str="</s>"   ,						_lowercase	:List[Any]="</s>"   ,						_lowercase	:Union[str, Any]="<s>"   ,						_lowercase	:Optional[Any]="<unk>"   ,						_lowercase	:Any="<pad>"   ,						**_lowercase	:Optional[Any]   ,						)		->					List[str]:
												# Compatibility with the original tokenizer
												UpperCAmelCase_     							=     7
												UpperCAmelCase_     							=     [f"<madeupword{i}>" for i in range(self.num_madeup_words)]

												UpperCAmelCase_     							=     kwargs.get('''additional_special_tokens'''   ,						[])
												kwargs["additional_special_tokens"] += [
												    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
												]

												super().__init__(
												    _lowercase   ,						tokenizer_file=_lowercase   ,						bos_token=_lowercase   ,						eos_token=_lowercase   ,						sep_token=_lowercase   ,						cls_token=_lowercase   ,						unk_token=_lowercase   ,						pad_token=_lowercase   ,						**_lowercase   ,						)

												UpperCAmelCase_     							=     vocab_file
												UpperCAmelCase_     							=     False if not self.vocab_file else True

						def 	__a       (    self	:Union[str, Any]   ,						_lowercase	:List[int]   ,						_lowercase	:Optional[List[int]] = None)		->					List[int]:

												if token_ids_a is None:
																		return [self.sep_token_id] + token_ids_a
												UpperCAmelCase_     							=     [self.sep_token_id]
												return sep + token_ids_a + sep + sep + token_ids_a

						def 	__a       (    self	:int   ,						_lowercase	:List[int]   ,						_lowercase	:Optional[List[int]] = None)		->					List[int]:
												UpperCAmelCase_     							=     [self.sep_token_id]

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




						def 	__a       (    self	:str   ,						_lowercase	:str   ,						_lowercase	:Optional[str] = None)		->					Tuple[str]:
												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(_lowercase):
																		logger.error(f"Vocabulary path ({save_directory}) should be a directory.")
																		return
												UpperCAmelCase_     							=     os.path.join(
												    _lowercase   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])

												if os.path.abspath(self.vocab_file) != os.path.abspath(_lowercase):
																		copyfile(self.vocab_file   ,						_lowercase)

												return (out_vocab_file,)










from dataclasses import dataclass
from typing import Callable, Optional

import datasets







@dataclass
class 							a_  (		datasets.BuilderConfig				):
						UpperCamelCase__      :						Optional[Callable]				       =None
						UpperCamelCase__      :						Optional[dict]				       =None
						UpperCamelCase__      :						Optional[datasets.Features]				       =None

						def 	__a       (    self	:List[str])		->					List[str]:
												assert self.generator is not None, "generator must be specified"

												if self.gen_kwargs is None:
																		UpperCAmelCase_     							=     {}







class 							a_  (		datasets.GeneratorBasedBuilder				):
						UpperCamelCase__      :						List[str]				       =GeneratorConfig

						def 	__a       (    self	:List[str])		->					List[Any]:
												return datasets.DatasetInfo(features=self.config.features)

						def 	__a       (    self	:Optional[Any]   ,						_lowercase	:List[str])		->					Optional[Any]:
												return [datasets.SplitGenerator(name=datasets.Split.TRAIN   ,						gen_kwargs=self.config.gen_kwargs)]




						def 	__a       (    self	:Optional[int]   ,						**_lowercase	:str)		->					Union[str, Any]:
												for idx, ex in enumerate(self.config.generator(**_lowercase)):
																		yield idx, ex





