






'''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_bart import BartTokenizer


UpperCAmelCase__						:Union[str, Any]          =			logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
UpperCAmelCase__						:Union[str, Any]          =			{
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json""",
    },
}

UpperCAmelCase__						:List[Any]          =			{
    """facebook/bart-base""": 1_024,
    """facebook/bart-large""": 1_024,
    """facebook/bart-large-mnli""": 1_024,
    """facebook/bart-large-cnn""": 1_024,
    """facebook/bart-large-xsum""": 1_024,
    """yjernite/bart_eli5""": 1_024,
}







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     Any   		=			VOCAB_FILES_NAMES
       snake_case__    :     Any   		=			PRETRAINED_VOCAB_FILES_MAP
       snake_case__    :     Any   		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       snake_case__    :     Optional[int]   		=			['input_ids', 'attention_mask']
       snake_case__    :     Any   		=			BartTokenizer




       def __init__(					self      : List[str]	,    A__      : Union[str, Any]=None	,    A__      : Any=None	,    A__      : str=None	,    A__      : List[str]="replace"	,    A__      : Dict="<s>"	,    A__      : List[str]="</s>"	,    A__      : Any="</s>"	,    A__      : int="<s>"	,    A__      : Any="<unk>"	,    A__      : Dict="<pad>"	,    A__      : Optional[Any]="<mask>"	,    A__      : str=False	,    A__      : Optional[int]=True	,    **A__      : 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__	,    )

            __lowerCamelCase						:       Union[str, Any]				   =				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
            if pre_tok_state.get("""add_prefix_space"""	,    A__					) != add_prefix_space:
                 __lowerCamelCase						:       List[Any]				   =				getattr(A__	,    pre_tok_state.pop("""type"""					)					)
                 __lowerCamelCase						:       Union[str, Any]				   =				add_prefix_space
                 __lowerCamelCase						:       Any				   =				pre_tok_class(**A__					)

            __lowerCamelCase						:       str				   =				add_prefix_space

            # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
            __lowerCamelCase						:       List[Any]				   =				"""post_processor"""
            __lowerCamelCase						:       List[str]				   =				getattr(self.backend_tokenizer	,    A__	,    A__					)
            if tokenizer_component_instance:
                 __lowerCamelCase						:       Union[str, Any]				   =				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:
                      __lowerCamelCase						:       Union[str, Any]				   =				tuple(state["""sep"""]					)
                 if "cls" in state:
                      __lowerCamelCase						:       List[str]				   =				tuple(state["""cls"""]					)

                 __lowerCamelCase						:       Optional[int]				   =				False

                 if state.get("""add_prefix_space"""	,    A__					) != add_prefix_space:
                      __lowerCamelCase						:       Dict				   =				add_prefix_space
                      __lowerCamelCase						:       int				   =				True

                 if state.get("""trim_offsets"""	,    A__					) != trim_offsets:
                      __lowerCamelCase						:       Optional[Any]				   =				trim_offsets
                      __lowerCamelCase						:       List[str]				   =				True

                 if changes_to_apply:
                      __lowerCamelCase						:       Any				   =				getattr(A__	,    state.pop("""type"""					)					)
                      __lowerCamelCase						:       Union[str, Any]				   =				component_class(**A__					)
                      setattr(self.backend_tokenizer	,    A__	,    A__					)




       @property
       def 					a_					(					self      : List[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 					a_					(					self      : List[Any]	,    A__      : str					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				AddedToken(A__	,    lstrip=A__	,    rstrip=A__					) if isinstance(A__	,    A__					) else value
            __lowerCamelCase						:       str				   =				value




       def 					a_					(					self      : Any	,    *A__      : Optional[Any]	,    **A__      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[Any]				   =				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 					a_					(					self      : Dict	,    *A__      : int	,    **A__      : str					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				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 					a_					(					self      : Optional[int]	,    A__      : str	,    A__      : Optional[str] = None					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				self._tokenizer.model.save(A__	,    name=A__					)
            return tuple(A__					)




       def 					a_					(					self      : List[Any]	,    A__      : Optional[Any]	,    A__      : int=None					):


            """simple docstring"""







            __lowerCamelCase						:       Union[str, Any]				   =				[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 					a_					(					self      : Any	,    A__      : List[int]	,    A__      : Optional[List[int]] = None					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				[self.sep_token_id]
            __lowerCamelCase						:       str				   =				[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'''

UpperCAmelCase__						:List[Any]          =			256
# Modulus to hash a string
UpperCAmelCase__						:str          =			1_000_003
def     __lowercase  (_lowercase,						_lowercase     )   ->     bool:


     """simple docstring"""
     __lowerCamelCase						:       str				   =				len(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				len(_lowercase     )
     if p_len > t_len:
          return False

     __lowerCamelCase						:       Optional[Any]				   =				0
     __lowerCamelCase						:       Tuple				   =				0
     __lowerCamelCase						:       Dict				   =				1

     # Calculating the hash of pattern and substring of text
     for i in range(_lowercase     ):
          __lowerCamelCase						:       Optional[int]				   =				(ord(pattern[i]     ) + p_hash * alphabet_size) % modulus
          __lowerCamelCase						:       Dict				   =				(ord(text[i]     ) + text_hash * alphabet_size) % modulus
          if i == p_len - 1:
               continue
          __lowerCamelCase						:       Dict				   =				(modulus_power * alphabet_size) % modulus

     for i in range(0,						t_len - p_len + 1     ):
          if text_hash == p_hash and text[i : i + p_len] == pattern:
               return True
          if i == t_len - p_len:
               continue
          # Calculate the https://en.wikipedia.org/wiki/Rolling_hash
          __lowerCamelCase						:       Dict				   =				(
              (text_hash - ord(text[i]     ) * modulus_power) * alphabet_size
              + ord(text[i + p_len]     )
          ) % modulus
     return False
def     __lowercase  ()   ->     None:


     """simple docstring"""
     __lowerCamelCase						:       List[Any]				   =				"""abc1abc12"""
     __lowerCamelCase						:       Optional[Any]				   =				"""alskfjaldsabc1abc1abc12k23adsfabcabc"""
     __lowerCamelCase						:       List[Any]				   =				"""alskfjaldsk23adsfabcabc"""
     assert rabin_karp(_lowercase,						_lowercase     ) and not rabin_karp(_lowercase,						_lowercase     )

     # Test 2)
     __lowerCamelCase						:       Optional[int]				   =				"""ABABX"""
     __lowerCamelCase						:       Dict				   =				"""ABABZABABYABABX"""
     assert rabin_karp(_lowercase,						_lowercase     )

     # Test 3)
     __lowerCamelCase						:       Any				   =				"""AAAB"""
     __lowerCamelCase						:       int				   =				"""ABAAAAAB"""
     assert rabin_karp(_lowercase,						_lowercase     )

     # Test 4)
     __lowerCamelCase						:       Any				   =				"""abcdabcy"""
     __lowerCamelCase						:       Dict				   =				"""abcxabcdabxabcdabcdabcy"""
     assert rabin_karp(_lowercase,						_lowercase     )

     # Test 5)
     __lowerCamelCase						:       str				   =				"""Lü"""
     __lowerCamelCase						:       str				   =				"""Lüsai"""
     assert rabin_karp(_lowercase,						_lowercase     )
     __lowerCamelCase						:       Tuple				   =				"""Lue"""
     assert not rabin_karp(_lowercase,						_lowercase     )
     print("""Success."""     )


if __name__ == "__main__":
   test_rabin_karp()



