

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:
       lowerCAmelCase						:   List[str]										=    None


lowerCAmelCase						:   List[Any]										=    logging.get_logger(__name__)

lowerCAmelCase						:   Union[str, Any]										=    {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase						:   Optional[int]										=    {
    '''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''',
    },
}

lowerCAmelCase						:   str										=    {
    '''facebook/xglm-564M''': 2048,
}
class     SCREAMING_SNAKE_CASE__     (						__a		):





       '''simple docstring'''




       UpperCamelCase__ :     Dict				    =       VOCAB_FILES_NAMES
       UpperCamelCase__ :     Optional[int]				    =       PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase__ :     List[str]				    =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase__ :     List[str]				    =       ['''input_ids''', '''attention_mask''']
       UpperCamelCase__ :     Optional[Any]				    =       XGLMTokenizer

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

             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__    ,		)

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

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

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

       def UpperCAmelCase_						(						self       :						Tuple    ,		lowerCAmelCase__       :						List[int]    ,		lowerCAmelCase__       :						Optional[List[int]] = None							)			->    List[int]:
             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       :						Optional[int]    ,		lowerCAmelCase__       :						str    ,		lowerCAmelCase__       :						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(lowerCAmelCase__							):
                   logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''							)
                   return
             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,)









lowerCAmelCase						:   Optional[Any]										=    1000





def 			_lowercase    (      __UpperCamelCase     :		float ):
      return x * x





def 			_lowercase    (      __UpperCamelCase     :		int   ,       __UpperCamelCase     :		float   ,       __UpperCamelCase     :		float   ,       __UpperCamelCase     :		int = 4 ):
      assert callable(
          __UpperCamelCase ), F'''the function(object) passed should be callable your input : {function}'''
      assert isinstance(__UpperCamelCase   ,       (float, int) ), F'''a should be float or integer your input : {a}'''
      assert isinstance(function(__UpperCamelCase )   ,       (float, int) ), (
          "the function should return integer or float return type of your function, "
          F'''{type(__UpperCamelCase )}'''
      )
      assert isinstance(__UpperCamelCase   ,       (float, int) ), F'''b should be float or integer your input : {b}'''
      assert (
          isinstance(__UpperCamelCase   ,       __UpperCamelCase ) and precision > 0
      ), F'''precision should be positive integer your input : {precision}'''

      # just applying the formula of simpson for approximate integration written in
      # mentioned article in first comment of this file and above this function

      snake_case__					=   (b - a) / N_STEPS
      snake_case__					=   function(__UpperCamelCase ) + function(__UpperCamelCase )

      for i in range(1   ,       __UpperCamelCase ):
            snake_case__					=   a + h * i
            result += function(__UpperCamelCase ) * (4 if i % 2 else 2)

      result *= h / 3
      return round(__UpperCamelCase   ,       __UpperCamelCase )


if __name__ == "__main__":
       import doctest

       doctest.testmod()






