

import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase_								=  logging.get_logger(__name__)


lowercase_								=  {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

lowercase_								=  {
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

lowercase_								=  "</w>"
lowercase_								=  "@@ "
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     str				)							->				Optional[Any]:





    '''simple docstring'''






    A__   				=       set()
    A__   				=       word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)				)
        A__   				=       char
    return pairs


# Speech2Text2 has no max input length
lowercase_								=  {"facebook/s2t-wav2vec2-large-en-de": 1024}


class 			A						(							__SCREAMING_SNAKE_CASE			):







    """simple docstring"""





    lowerCamelCase		     =							VOCAB_FILES_NAMES
    lowerCamelCase		     =							PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase		     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase		     =							["input_ids", "attention_mask"]


    def __init__(				self			:	List[Any],lowercase_			:	Dict,lowercase_			:	Optional[int]="<s>",lowercase_			:	int="<pad>",lowercase_			:	Dict="</s>",lowercase_			:	List[str]="<unk>",lowercase_			:	Dict=False,lowercase_			:	List[str]=None,**lowercase_			:	str,)->   List[str]:





        '''simple docstring'''







        super().__init__(
            unk_token=__UpperCAmelCase,bos_token=__UpperCAmelCase,eos_token=__UpperCAmelCase,pad_token=__UpperCAmelCase,do_lower_case=__UpperCAmelCase,**__UpperCAmelCase,)

        A__   				=       do_lower_case

        with open(__UpperCAmelCase,encoding='utf-8'		) as vocab_handle:
            A__   				=       json.load(__UpperCAmelCase		)
        A__   				=       {v: k for k, v in self.encoder.items()}

        if merges_file is None:
            logger.info(F'No merges files provided. {self.__class__.__name__} can only be used for decoding.'		)

            A__   				=       None
            A__   				=       None
        else:
            with open(__UpperCAmelCase,encoding='utf-8'		) as merges_handle:
                A__   				=       merges_handle.read().split('\n'		)[:-1]

            A__   				=       [tuple(merge.split()[:2]		) for merge in merges]
            A__   				=       dict(zip(__UpperCAmelCase,range(len(__UpperCAmelCase		)		)		)		)
            A__   				=       {}


    @property
    def 						snake_case__					(				self			:	Tuple		)->   int:





        '''simple docstring'''







        return len(self.decoder		)


    def 						snake_case__					(				self			:	Optional[int]		)->   Dict:





        '''simple docstring'''







        return dict(self.encoder,**self.added_tokens_encoder		)


    def 						snake_case__					(				self			:	Optional[int],lowercase_			:	Optional[int]		)->   List[Any]:





        '''simple docstring'''







        A__   				=       tuple(token[:-1]		) + (token[-1] + BPE_TOKEN_MERGES,)
        if token in self.cache:
            return self.cache[token]
        A__   				=       get_pairs(__UpperCAmelCase		)

        if not pairs:
            return token

        while True:
            A__   				=       min(__UpperCAmelCase,key=lambda lowercase_		: self.bpe_ranks.get(__UpperCAmelCase,float('inf'		)		)		)
            if bigram not in self.bpe_ranks:
                break
            A__   				=       bigram
            A__   				=       []
            A__   				=       0
            while i < len(__UpperCAmelCase		):
                try:
                    A__   				=       word.index(__UpperCAmelCase,__UpperCAmelCase		)
                except ValueError:
                    new_word.extend(word[i:]		)
                    break
                else:
                    new_word.extend(word[i:j]		)
                    A__   				=       j

                if word[i] == first and i < len(__UpperCAmelCase		) - 1 and word[i + 1] == second:
                    new_word.append(first + second		)
                    i += 2
                else:
                    new_word.append(word[i]		)
                    i += 1
            A__   				=       tuple(__UpperCAmelCase		)
            A__   				=       new_word
            if len(__UpperCAmelCase		) == 1:
                break
            else:
                A__   				=       get_pairs(__UpperCAmelCase		)
        A__   				=       """ """.join(__UpperCAmelCase		)
        if word == "\n  " + BPE_TOKEN_MERGES:
            A__   				=       """\n""" + BPE_TOKEN_MERGES

        if word.endswith(__UpperCAmelCase		):
            A__   				=       word.replace(__UpperCAmelCase,''		)

        A__   				=       word.replace(' ',__UpperCAmelCase		)
        A__   				=       word
        return word


    def 						snake_case__					(				self			:	List[Any],lowercase_			:	Union[str, Any]		)->   List[Any]:





        '''simple docstring'''







        if self.bpe_ranks is None:
            raise ValueError(
                'This tokenizer was instantiated without a `merges.txt` file, so'
                ' that it can only be used for decoding, not for encoding.'
                'Make sure to provide `merges.txt` file at instantiation to enable '
                'encoding.'		)

        if self.do_lower_case:
            A__   				=       text.lower()

        A__   				=       text.split()

        A__   				=       []
        for token in text:
            if token:
                split_tokens.extend(list(self.bpe(__UpperCAmelCase		).split(' '		)		)		)

        return split_tokens


    def 						snake_case__					(				self			:	Tuple,lowercase_			:	List[str]		)->   int:





        '''simple docstring'''







        return self.encoder.get(__UpperCAmelCase,self.encoder.get(self.unk_token		)		)


    def 						snake_case__					(				self			:	Optional[Any],lowercase_			:	Union[str, Any]		)->   str:





        '''simple docstring'''







        A__   				=       self.decoder.get(__UpperCAmelCase,self.unk_token		)
        return result


    def 						snake_case__					(				self			:	str,lowercase_			:	Optional[Any]		)->   str:





        '''simple docstring'''







        A__   				=       """ """.join(__UpperCAmelCase		)

        # make sure @@ tokens are concatenated
        A__   				=       """""".join(string.split(__UpperCAmelCase		)		)

        return string


    def 						snake_case__					(				self			:	List[Any],lowercase_			:	List[str],lowercase_			:	List[Any] = None		)->   Tuple[str]:





        '''simple docstring'''







        if not os.path.isdir(__UpperCAmelCase		):
            logger.error(F'Vocabulary path ({save_directory}) should be a directory'		)
            return
        A__   				=       os.path.join(
            __UpperCAmelCase,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
        A__   				=       os.path.join(
            __UpperCAmelCase,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

        with open(__UpperCAmelCase,'w',encoding='utf-8'		) as f:
            f.write(json.dumps(self.encoder,indent=2,sort_keys=__UpperCAmelCase,ensure_ascii=__UpperCAmelCase		) + '\n'		)

        A__   				=       0
        if self.bpe_ranks is None:
            return (vocab_file,)

        with open(__UpperCAmelCase,'w',encoding='utf-8'		) as writer:
            for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),key=lambda lowercase_		: kv[1]		):
                if index != token_index:
                    logger.warning(
                        F'Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'
                        ' Please check that the tokenizer is not corrupted!'		)
                    A__   				=       token_index
                writer.write(' '.join(__UpperCAmelCase		) + '\n'		)
                index += 1

        return (vocab_file, merges_file)




from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

lowercase_			=  (3, 9, -11, 0, 7, 5, 1, -1)
lowercase_			=  (4, 6, 2, 0, 8, 10, 3, -2)


@dataclass
class 			A						:







    """simple docstring"""





    lowerCamelCase		     =							42
    lowerCamelCase		     =							42




class 			A						:







    """simple docstring"""





    def __init__(				self			:	List[str],lowercase_			:	Iterable[int]		)->   None:





        '''simple docstring'''







        A__   				=       None
        for i in sorted(lowercase_,reverse=lowercase_		):
            A__   				=       Node(lowercase_,self.head		)


    def __iter__(				self			:	List[str]		)->   Iterator[int]:





        '''simple docstring'''







        A__   				=       self.head
        while node:
            yield node.data
            A__   				=       node.next_node


    def __len__(				self			:	str		)->   int:





        '''simple docstring'''







        return sum(1 for _ in self		)


    def __str__(				self			:	Optional[int]		)->   str:





        '''simple docstring'''







        return " -> ".join([str(lowercase_		) for node in self]		)




def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     SortedLinkedList   ,      SCREAMING_SNAKE_CASE__      :     SortedLinkedList				)							->				SortedLinkedList:





    '''simple docstring'''






    return SortedLinkedList(list(SCREAMING_SNAKE_CASE__				) + list(SCREAMING_SNAKE_CASE__				)				)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     lowercase_			=  SortedLinkedList
     print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))

