


"""simple docstring"""

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


UpperCAmelCase__  							=logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCAmelCase__  							={
    "vocab_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json",
    },
    "added_tokens.json": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json",
    },
    "merges_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json",
    },
}

UpperCAmelCase__  							={
    "RUCAIBox/mvp": 1024,
}





class    lowerCamelCase__						(		_a    ):

      '''simple docstring'''





      a :     Tuple											=		VOCAB_FILES_NAMES
      a :     Union[str, Any]											=		PRETRAINED_VOCAB_FILES_MAP
      a :     List[str]											=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a :     Union[str, Any]											=		["""input_ids""", """attention_mask"""]
      a :     List[Any]											=		MvpTokenizer
      def __init__(		self	:	Union[str, Any]      ,       A_	:	Any=None      ,       A_	:	int=None      ,       A_	:	Optional[int]=None      ,       A_	:	str="replace"      ,       A_	:	Tuple="<s>"      ,       A_	:	List[str]="</s>"      ,       A_	:	Union[str, Any]="</s>"      ,       A_	:	Union[str, Any]="<s>"      ,       A_	:	List[Any]="<unk>"      ,       A_	:	Union[str, Any]="<pad>"      ,       A_	:	Any="<mask>"      ,       A_	:	int=False      ,       A_	:	int=True      ,       **A_	:	List[Any]      ,       ):






       '''simple docstring'''


       super().__init__(
           __a      ,       __a      ,       tokenizer_file=__a      ,       errors=__a      ,       bos_token=__a      ,       eos_token=__a      ,       sep_token=__a      ,       cls_token=__a      ,       unk_token=__a      ,       pad_token=__a      ,       mask_token=__a      ,       add_prefix_space=__a      ,       trim_offsets=__a      ,       **__a      ,       )

       __lowercase									=	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
       if pre_tok_state.get("""add_prefix_space"""      ,       __a							) != add_prefix_space:
        __lowercase									=	getattr(__a      ,       pre_tok_state.pop("""type"""							)							)
        __lowercase									=	add_prefix_space
        __lowercase									=	pre_tok_class(**__a							)

       __lowercase									=	add_prefix_space

       # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
       __lowercase									=	"""post_processor"""
       __lowercase									=	getattr(self.backend_tokenizer      ,       __a      ,       __a							)
       if tokenizer_component_instance:
        __lowercase									=	json.loads(tokenizer_component_instance.__getstate__()							)

        # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
        if "sep" in state:
         __lowercase									=	tuple(state["""sep"""]							)
        if "cls" in state:
         __lowercase									=	tuple(state["""cls"""]							)

        __lowercase									=	False

        if state.get("""add_prefix_space"""      ,       __a							) != add_prefix_space:
         __lowercase									=	add_prefix_space
         __lowercase									=	True

        if state.get("""trim_offsets"""      ,       __a							) != trim_offsets:
         __lowercase									=	trim_offsets
         __lowercase									=	True

        if changes_to_apply:
         __lowercase									=	getattr(__a      ,       state.pop("""type"""							)							)
         __lowercase									=	component_class(**__a							)
         setattr(self.backend_tokenizer      ,       __a      ,       __a							)
      @property
      def SCREAMING_SNAKE_CASE_	(		self	:	str							):






       '''simple docstring'''


       if self._mask_token is None:
        if self.verbose:
         logger.error("""Using mask_token, but it is not set yet."""							)
        return None
       return str(self._mask_token							)
      @mask_token.setter
      def SCREAMING_SNAKE_CASE_	(		self	:	List[Any]      ,       A_	:	Tuple							):






       '''simple docstring'''


       __lowercase									=	AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a							) if isinstance(__a      ,       __a							) else value
       __lowercase									=	value
      def SCREAMING_SNAKE_CASE_	(		self	:	List[Any]      ,       *A_	:	Union[str, Any]      ,       **A_	:	Dict							):






       '''simple docstring'''


       __lowercase									=	kwargs.get("""is_split_into_words"""      ,       __a							)

       if is_split_into_words and not self.add_prefix_space:
        raise ValueError(
            F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            """to use it with pretokenized inputs."""							)

       return super()._batch_encode_plus(*__a      ,       **__a							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Dict      ,       *A_	:	Optional[Any]      ,       **A_	:	Dict							):






       '''simple docstring'''


       __lowercase									=	kwargs.get("""is_split_into_words"""      ,       __a							)

       if is_split_into_words and not self.add_prefix_space:
        raise ValueError(
            F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            """to use it with pretokenized inputs."""							)

       return super()._encode_plus(*__a      ,       **__a							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]      ,       A_	:	Optional[Any]      ,       A_	:	List[Any] = None							):






       '''simple docstring'''


       __lowercase									=	self._tokenizer.model.save(__a      ,       name=__a							)
       return tuple(__a							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Dict      ,       A_	:	Dict      ,       A_	:	Tuple=None							):






       '''simple docstring'''


       __lowercase									=	[self.bos_token_id] + token_ids_a + [self.eos_token_id]
       if token_ids_a is None:
        return output

       return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






      def SCREAMING_SNAKE_CASE_	(		self	:	Union[str, Any]      ,       A_	:	Union[str, Any]      ,       A_	:	Dict = None							):






       '''simple docstring'''


       __lowercase									=	[self.sep_token_id]
       __lowercase									=	[self.cls_token_id]

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




"""simple docstring"""

# Algorithm for the pigeonhole sorting




def lowerCAmelCase_      (				UpperCamelCase__	: Dict ):






 """simple docstring"""







 __lowercase									=	min(UpperCamelCase__ )  # min() finds the minimum value
 __lowercase									=	max(UpperCamelCase__ )  # max() finds the maximum value

 __lowercase									=	max_val - min_val + 1  # size is difference of max and min values plus one

 # list of pigeonholes of size equal to the variable size
 __lowercase									=	[0] * size

 # Populate the pigeonholes.
 for x in a:
  assert isinstance(UpperCamelCase__				,   UpperCamelCase__ ), "integers only please"
  holes[x - min_val] += 1

 # Putting the elements back into the array in an order.
 __lowercase									=	0
 for count in range(UpperCamelCase__ ):
  while holes[count] > 0:
   holes[count] -= 1
   __lowercase									=	count + min_val
   i += 1


def lowerCAmelCase_      (				):






 """simple docstring"""







 __lowercase									=	[8, 3, 2, 7, 4, 6, 8]
 pigeonhole_sort(UpperCamelCase__ )
 print("""Sorted order is:"""				,   """ """.join(UpperCamelCase__ ) )


if __name__ == "__main__":
       main()
