



'''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_roberta import RobertaTokenizer


SCREAMING_SNAKE_CASE__          =  logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE__          =  {
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
    "tokenizer_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/tokenizer.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/tokenizer.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json",
        "roberta-base-openai-detector": (
            "https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json"
        ),
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json"
        ),
    },
}

SCREAMING_SNAKE_CASE__          =  {
    "roberta-base": 512,
    "roberta-large": 512,
    "roberta-large-mnli": 512,
    "distilroberta-base": 512,
    "roberta-base-openai-detector": 512,
    "roberta-large-openai-detector": 512,
}


class 					snake_case			(UpperCamelCase ):
       lowerCAmelCase__	:str     =       VOCAB_FILES_NAMES
       lowerCAmelCase__	:Optional[Any]     =       PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__	:Optional[Any]     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__	:List[str]     =       ["input_ids", "attention_mask"]
       lowerCAmelCase__	:Tuple     =       RobertaTokenizer



       def __init__(					self  ,UpperCAmelCase_=None  ,UpperCAmelCase_=None  ,UpperCAmelCase_=None  ,UpperCAmelCase_="replace"  ,UpperCAmelCase_="<s>"  ,UpperCAmelCase_="</s>"  ,UpperCAmelCase_="</s>"  ,UpperCAmelCase_="<s>"  ,UpperCAmelCase_="<unk>"  ,UpperCAmelCase_="<pad>"  ,UpperCAmelCase_="<mask>"  ,UpperCAmelCase_=False  ,UpperCAmelCase_=True  ,**UpperCAmelCase_  ,)	->				str:
           super().__init__(
               UpperCAmelCase_  ,UpperCAmelCase_  ,tokenizer_file=UpperCAmelCase_  ,errors=UpperCAmelCase_  ,bos_token=UpperCAmelCase_  ,eos_token=UpperCAmelCase_  ,sep_token=UpperCAmelCase_  ,cls_token=UpperCAmelCase_  ,unk_token=UpperCAmelCase_  ,pad_token=UpperCAmelCase_  ,mask_token=UpperCAmelCase_  ,add_prefix_space=UpperCAmelCase_  ,trim_offsets=UpperCAmelCase_  ,**UpperCAmelCase_  ,)

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

           lowercase__									=    add_prefix_space

           lowercase__									=    "post_processor"
           lowercase__									=    getattr(self.backend_tokenizer  ,UpperCAmelCase_  ,UpperCAmelCase_   )
           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"  ,UpperCAmelCase_   ) != add_prefix_space:
                   lowercase__									=    add_prefix_space
                   lowercase__									=    True

               if state.get("trim_offsets"  ,UpperCAmelCase_   ) != trim_offsets:
                   lowercase__									=    trim_offsets
                   lowercase__									=    True

               if changes_to_apply:
                   lowercase__									=    getattr(UpperCAmelCase_  ,state.pop("type"   )   )
                   lowercase__									=    component_class(**UpperCAmelCase_   )
                   setattr(self.backend_tokenizer  ,UpperCAmelCase_  ,UpperCAmelCase_   )



       @property
       def 				_a   (					self   )	->				str:
           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  ,UpperCAmelCase_   )	->				Any:
           lowercase__									=    AddedToken(UpperCAmelCase_  ,lstrip=UpperCAmelCase_  ,rstrip=UpperCAmelCase_   ) if isinstance(UpperCAmelCase_  ,UpperCAmelCase_   ) else value
           lowercase__									=    value



       def 				_a   (					self  ,*UpperCAmelCase_  ,**UpperCAmelCase_   )	->				BatchEncoding:
           lowercase__									=    kwargs.get("is_split_into_words"  ,UpperCAmelCase_   )
           assert self.add_prefix_space or not is_split_into_words, (
               F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
               "to use it with pretokenized inputs."
           )

           return super()._batch_encode_plus(*UpperCAmelCase_  ,**UpperCAmelCase_   )



       def 				_a   (					self  ,*UpperCAmelCase_  ,**UpperCAmelCase_   )	->				BatchEncoding:
           lowercase__									=    kwargs.get("is_split_into_words"  ,UpperCAmelCase_   )

           assert self.add_prefix_space or not is_split_into_words, (
               F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
               "to use it with pretokenized inputs."
           )

           return super()._encode_plus(*UpperCAmelCase_  ,**UpperCAmelCase_   )



       def 				_a   (					self  ,UpperCAmelCase_  ,UpperCAmelCase_ = None   )	->				Tuple[str]:
           lowercase__									=    self._tokenizer.model.save(UpperCAmelCase_  ,name=UpperCAmelCase_   )
           return tuple(UpperCAmelCase_   )



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





SCREAMING_SNAKE_CASE__          =  256
# Modulus to hash a string
SCREAMING_SNAKE_CASE__          =  100_0003




def 							lowerCamelCase	(					_snake_case	:    str  ,_snake_case	:    str							):





    '''simple docstring'''


    lowercase__									=    len(_snake_case							)
    lowercase__									=    len(_snake_case							)
    if p_len > t_len:
        return False

    lowercase__									=    0
    lowercase__									=    0
    lowercase__									=    1

    # Calculating the hash of pattern and substring of text
    for i in range(_snake_case							):
        lowercase__									=    (ord(pattern[i]							) + p_hash * alphabet_size) % modulus
        lowercase__									=    (ord(text[i]							) + text_hash * alphabet_size) % modulus
        if i == p_len - 1:
            continue
        lowercase__									=    (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
        lowercase__									=    (
            (text_hash - ord(text[i]							) * modulus_power) * alphabet_size
            + ord(text[i + p_len]							)
        ) % modulus
    return False




def 							lowerCamelCase	(					):





    '''simple docstring'''


    lowercase__									=    "abc1abc12"
    lowercase__									=    "alskfjaldsabc1abc1abc12k23adsfabcabc"
    lowercase__									=    "alskfjaldsk23adsfabcabc"
    assert rabin_karp(_snake_case  ,_snake_case							) and not rabin_karp(_snake_case  ,_snake_case							)

    # Test 2)
    lowercase__									=    "ABABX"
    lowercase__									=    "ABABZABABYABABX"
    assert rabin_karp(_snake_case  ,_snake_case							)

    # Test 3)
    lowercase__									=    "AAAB"
    lowercase__									=    "ABAAAAAB"
    assert rabin_karp(_snake_case  ,_snake_case							)

    # Test 4)
    lowercase__									=    "abcdabcy"
    lowercase__									=    "abcxabcdabxabcdabcdabcy"
    assert rabin_karp(_snake_case  ,_snake_case							)

    # Test 5)
    lowercase__									=    "Lü"
    lowercase__									=    "Lüsai"
    assert rabin_karp(_snake_case  ,_snake_case							)
    lowercase__									=    "Lue"
    assert not rabin_karp(_snake_case  ,_snake_case							)
    print("Success."							)


if __name__ == "__main__":
 test_rabin_karp()




