





"""simple docstring"""




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_					:						str      = None


lowerCamelCase_					:						Optional[int]      = logging.get_logger(__name__)

lowerCamelCase_					:						int      = {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase_					:						Dict      = {
    '''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''': 20_48,
}

class 			_UpperCAmelCase  (       A__		):



      '''simple docstring'''
      lowercase_				:			Union[str, Any]        =       VOCAB_FILES_NAMES
      lowercase_				:			Dict        =       PRETRAINED_VOCAB_FILES_MAP
      lowercase_				:			List[Any]        =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowercase_				:			int        =       ["""input_ids""", """attention_mask"""]
      lowercase_				:			Dict        =       XGLMTokenizer

      def __init__(					self ,				snake_case_=None ,				snake_case_=None ,				snake_case_="<s>" ,				snake_case_="</s>" ,				snake_case_="</s>" ,				snake_case_="<s>" ,				snake_case_="<unk>" ,				snake_case_="<pad>" ,				**snake_case_ ,				):

        """simple docstring"""

        A_  :	int    						=  7
        A_  :	Union[str, Any]    						=  [F"""<madeupword{i}>""" for i in range(self.num_madeup_words  )]

        A_  :	Tuple    						=  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__(
            _A ,				tokenizer_file=_A ,				bos_token=_A ,				eos_token=_A ,				sep_token=_A ,				cls_token=_A ,				unk_token=_A ,				pad_token=_A ,				**_A ,				)

        A_  :	Any    						=  vocab_file
        A_  :	int    						=  False if not self.vocab_file else True

      def  lowerCamelCase_      (					self ,				snake_case_ ,				snake_case_ = None  ):

        """simple docstring"""

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

      def  lowerCamelCase_      (					self ,				snake_case_ ,				snake_case_ = None  ):

        """simple docstring"""

        A_  :	List[str]    						=  [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  lowerCamelCase_      (					self ,				snake_case_ ,				snake_case_ = None  ):

        """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
        A_  :	List[Any]    						=  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  )

        return (out_vocab_file,)






"""simple docstring"""




def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  A_  :	Any    						=  len(_UpperCAmelCase )
  # Create a stack and push index of fist element to it
  A_  :	List[Any]    						=  []
  st.append(0 )

  # Span value of first element is always 1
  A_  :	List[str]    						=  1

  # Calculate span values for rest of the elements
  for i in range(1			, _UpperCAmelCase ):
    # Pop elements from stack while stack is not
    # empty and top of stack is smaller than price[i]
    while len(_UpperCAmelCase ) > 0 and price[st[0]] <= price[i]:
      st.pop()

    # If stack becomes empty, then price[i] is greater
    # than all elements on left of it, i.e. price[0],
    # price[1], ..price[i-1]. Else the price[i]  is
    # greater than elements after top of stack
    A_  :	Union[str, Any]    						=  i + 1 if len(_UpperCAmelCase ) <= 0 else (i - st[0])

    # Push this element to stack
    st.append(_UpperCAmelCase )





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  for i in range(0			, _UpperCAmelCase ):
    print(arr[i]			, end=' ' )


# Driver program to test above function
lowerCamelCase_					:						List[Any]      = [10, 4, 5, 90, 1_20, 80]
lowerCamelCase_					:						Optional[Any]      = [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)





print_array(S, len(price))