import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing



class        lowercase_   (					a__		):



							def __init__(						self				,    lowercase_ = "▁"				,    lowercase_ = True				,    lowercase_ = "<unk>"				,    lowercase_ = "</s>"				,    lowercase_ = "<pad>"				,    ):
													_snake_case						:					Optional[int]    =   {
													    "pad": {"id": 0, "token": pad_token},
													    "eos": {"id": 1, "token": eos_token},
													    "unk": {"id": 2, "token": unk_token},
													}

													_snake_case						:					List[Any]    =   [None] * len(self.special_tokens    )
													for token_dict in self.special_tokens.values():
																			_snake_case						:					Tuple    =   token_dict["token"]

													_snake_case						:					List[str]    =   Tokenizer(Unigram()    )

													_snake_case						:					int    =   normalizers.Sequence(
													    [
													        normalizers.Nmt(),
													        normalizers.NFKC(),
													        normalizers.Replace(Regex(" {2,}"    )				,    " "    ),
													        normalizers.Lowercase(),
													    ]    )
													_snake_case						:					str    =   pre_tokenizers.Sequence(
													    [
													        pre_tokenizers.Metaspace(replacement=lowercase_				,    add_prefix_space=lowercase_    ),
													        pre_tokenizers.Digits(individual_digits=lowercase_    ),
													        pre_tokenizers.Punctuation(),
													    ]    )
													_snake_case						:					Optional[Any]    =   decoders.Metaspace(replacement=lowercase_				,    add_prefix_space=lowercase_    )

													_snake_case						:					Optional[Any]    =   TemplateProcessing(
													    single=f"""$A {self.special_tokens['eos']['token']}"""				,    special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]				,    )

													_snake_case						:					List[Any]    =   {
													    "model": "SentencePieceUnigram",
													    "replacement": replacement,
													    "add_prefix_space": add_prefix_space,
													}

													super().__init__(lowercase_				,    lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = 8_000				,    lowercase_ = True				,    ):
													_snake_case						:					Union[str, Any]    =   trainers.UnigramTrainer(
													    vocab_size=lowercase_				,    special_tokens=self.special_tokens_list				,    show_progress=lowercase_				,    )

													if isinstance(lowercase_				,    lowercase_    ):
																			_snake_case						:					Dict    =   [files]
													self._tokenizer.train(lowercase_				,    trainer=lowercase_    )

													self.add_unk_id()



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = 8_000				,    lowercase_ = True				,    ):
													_snake_case						:					Union[str, Any]    =   trainers.UnigramTrainer(
													    vocab_size=lowercase_				,    special_tokens=self.special_tokens_list				,    show_progress=lowercase_				,    )

													self._tokenizer.train_from_iterator(lowercase_				,    trainer=lowercase_    )

													self.add_unk_id()



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					Optional[Any]    =   json.loads(self._tokenizer.to_str()    )

													_snake_case						:					List[str]    =   self.special_tokens["unk"]["id"]

													_snake_case						:					List[Any]    =   Tokenizer.from_str(json.dumps(lowercase_    )    )
import logging

from transformers import PretrainedConfig


__SCREAMING_SNAKE_CASE						:   Any         =			logging.getLogger(__name__)


__SCREAMING_SNAKE_CASE						:   int         =			{
    'bertabs-finetuned-cnndm': 'https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json',
}



class        lowercase_   (					__snake_case		):
							_lowerCamelCase						=		'bertabs'



							def __init__(						self				,    lowercase_=30_522				,    lowercase_=512				,    lowercase_=6				,    lowercase_=512				,    lowercase_=8				,    lowercase_=512				,    lowercase_=0.2				,    lowercase_=6				,    lowercase_=768				,    lowercase_=8				,    lowercase_=2_048				,    lowercase_=0.2				,    **lowercase_				,    ):
													super().__init__(**lowercase_    )

													_snake_case						:					List[Any]    =   vocab_size
													_snake_case						:					int    =   max_pos

													_snake_case						:					Tuple    =   enc_layers
													_snake_case						:					Optional[Any]    =   enc_hidden_size
													_snake_case						:					Union[str, Any]    =   enc_heads
													_snake_case						:					str    =   enc_ff_size
													_snake_case						:					Any    =   enc_dropout

													_snake_case						:					Tuple    =   dec_layers
													_snake_case						:					Optional[Any]    =   dec_hidden_size
													_snake_case						:					Dict    =   dec_heads
													_snake_case						:					str    =   dec_ff_size
													_snake_case						:					List[str]    =   dec_dropout