






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_0_4_8,
}
class 	a_(		lowercase__	):



     """simple docstring"""



     __snake_case		:				str  					=VOCAB_FILES_NAMES
     __snake_case		:				List[str]  					=PRETRAINED_VOCAB_FILES_MAP
     __snake_case		:				Union[str, Any]  					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case		:				str  					=['''input_ids''', '''attention_mask''']
     __snake_case		:				Union[str, Any]  					=XGLMTokenizer





     def __init__(		self					:	Optional[Any]  ,  lowerCAmelCase__					:	int=None  ,  lowerCAmelCase__					:	List[Any]=None  ,  lowerCAmelCase__					:	List[Any]="<s>"  ,  lowerCAmelCase__					:	List[str]="</s>"  ,  lowerCAmelCase__					:	Optional[Any]="</s>"  ,  lowerCAmelCase__					:	Union[str, Any]="<s>"  ,  lowerCAmelCase__					:	Union[str, Any]="<unk>"  ,  lowerCAmelCase__					:	Tuple="<pad>"  ,  **lowerCAmelCase__					:	List[Any]  ,  )							->	Union[str, Any]:

      """simple docstring"""
      # Compatibility with the original tokenizer
      SCREAMING_SNAKE_CASE				    =		7
      SCREAMING_SNAKE_CASE				    =		[f'''<madeupword{i}>''' for i in range(self.num_madeup_words)]

      SCREAMING_SNAKE_CASE				    =		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__(
          lowerCAmelCase__  ,  tokenizer_file=lowerCAmelCase__  ,  bos_token=lowerCAmelCase__  ,  eos_token=lowerCAmelCase__  ,  sep_token=lowerCAmelCase__  ,  cls_token=lowerCAmelCase__  ,  unk_token=lowerCAmelCase__  ,  pad_token=lowerCAmelCase__  ,  **lowerCAmelCase__  ,  )

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





     def     __UpperCamelCase						(		self					:	Optional[Any]  ,  lowerCAmelCase__					:	List[int]  ,  lowerCAmelCase__					:	Optional[List[int]] = None)							->	List[int]:

      """simple docstring"""

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





     def     __UpperCamelCase						(		self					:	Optional[int]  ,  lowerCAmelCase__					:	List[int]  ,  lowerCAmelCase__					:	Optional[List[int]] = None)							->	List[int]:

      """simple docstring"""
      SCREAMING_SNAKE_CASE				    =		[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     __UpperCamelCase						(		self					:	Dict  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	Optional[str] = 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(lowerCAmelCase__):
       logger.error(f'''Vocabulary path ({save_directory}) should be a directory.''')
       return
      SCREAMING_SNAKE_CASE				    =		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__):
       copyfile(self.vocab_file  ,  lowerCAmelCase__)

      return (out_vocab_file,)












from collections import namedtuple

__UpperCAmelCase      =				namedtuple("from_to", "from_ to")

__UpperCAmelCase      =				{
    "millimeter": "mm",
    "centimeter": "cm",
    "meter": "m",
    "kilometer": "km",
    "inch": "in",
    "inche": "in",  # Trailing 's' has been stripped off
    "feet": "ft",
    "foot": "ft",
    "yard": "yd",
    "mile": "mi",
}

__UpperCAmelCase      =				{
    "mm": from_to(0.001, 1_0_0_0),
    "cm": from_to(0.01, 1_0_0),
    "m": from_to(1, 1),
    "km": from_to(1_0_0_0, 0.001),
    "in": from_to(0.0_254, 39.3_701),
    "ft": from_to(0.3_048, 3.28_084),
    "yd": from_to(0.9_144, 1.09_361),
    "mi": from_to(1_609.34, 0.000_621_371),
}





def 						A_					(						lowercase_	,  lowercase_	,  lowercase_			)				->float:







 """simple docstring"""

 SCREAMING_SNAKE_CASE				    =		from_type.lower().rstrip('s'			)
 SCREAMING_SNAKE_CASE				    =		TYPE_CONVERSION.get(lowercase_	,  lowercase_			)
 SCREAMING_SNAKE_CASE				    =		to_type.lower().rstrip('s'			)
 SCREAMING_SNAKE_CASE				    =		TYPE_CONVERSION.get(lowercase_	,  lowercase_			)
 if new_from not in METRIC_CONVERSION:
  SCREAMING_SNAKE_CASE				    =		(
      f'''Invalid \'from_type\' value: {from_type!r}.\n'''
      f'''Conversion abbreviations are: {', '.join(lowercase_			)}'''
  )
  raise ValueError(lowercase_			)
 if new_to not in METRIC_CONVERSION:
  SCREAMING_SNAKE_CASE				    =		(
      f'''Invalid \'to_type\' value: {to_type!r}.\n'''
      f'''Conversion abbreviations are: {', '.join(lowercase_			)}'''
  )
  raise ValueError(lowercase_			)
 return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
      import doctest

      doctest.testmod()




