from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A_      =      logging.get_logger(__name__)

A_      =      {
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}






class      __lowercase					(    _A    ):
						lowercase					 =     'roberta-prelayernorm'

						def __init__(	self				:      Dict							,							__lowerCamelCase				:      str=5_02_65							,							__lowerCamelCase				:      Optional[Any]=7_68							,							__lowerCamelCase				:      Tuple=12							,							__lowerCamelCase				:      List[str]=12							,							__lowerCamelCase				:      Optional[Any]=30_72							,							__lowerCamelCase				:      Union[str, Any]="gelu"							,							__lowerCamelCase				:      int=0.1							,							__lowerCamelCase				:      int=0.1							,							__lowerCamelCase				:      List[str]=5_12							,							__lowerCamelCase				:      int=2							,							__lowerCamelCase				:      Optional[int]=0.02							,							__lowerCamelCase				:      Optional[Any]=1E-12							,							__lowerCamelCase				:      List[Any]=1							,							__lowerCamelCase				:      List[Any]=0							,							__lowerCamelCase				:      Tuple=2							,							__lowerCamelCase				:      List[Any]="absolute"							,							__lowerCamelCase				:      List[str]=True							,							__lowerCamelCase				:      Union[str, Any]=None							,							**__lowerCamelCase				:      List[str]							,							)							->		List[str]:


									'''simple docstring'''

									super().__init__(pad_token_id=__lowerCamelCase							,							bos_token_id=__lowerCamelCase							,							eos_token_id=__lowerCamelCase							,							**__lowerCamelCase   )

									lowercase							=		vocab_size
									lowercase							=		hidden_size
									lowercase							=		num_hidden_layers
									lowercase							=		num_attention_heads
									lowercase							=		hidden_act
									lowercase							=		intermediate_size
									lowercase							=		hidden_dropout_prob
									lowercase							=		attention_probs_dropout_prob
									lowercase							=		max_position_embeddings
									lowercase							=		type_vocab_size
									lowercase							=		initializer_range
									lowercase							=		layer_norm_eps
									lowercase							=		position_embedding_type
									lowercase							=		use_cache
									lowercase							=		classifier_dropout






class      __lowercase					(    _A    ):

						@property
						def        __a		(	self				:      List[Any]   )							->		Mapping[str, Mapping[int, str]]:


									'''simple docstring'''

									if self.task == "multiple-choice":
												lowercase							=		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
									else:
												lowercase							=		{0: '''batch''', 1: '''sequence'''}
									return OrderedDict(
									    [
									        ('''input_ids''', dynamic_axis),
									        ('''attention_mask''', dynamic_axis),
									    ]   )






import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A_      =      logging.get_logger(__name__)


A_      =      {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
A_      =      {
    "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",
    },
}

A_      =      {
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}






@lru_cache()
def        __UpperCAmelCase    (       )->       Optional[int]:



			"""simple docstring"""







			lowercase							=		(
			    list(range(ord('''!'''       ),		ord('''~'''       ) + 1       )       ) + list(range(ord('''¡'''       ),		ord('''¬'''       ) + 1       )       ) + list(range(ord('''®'''       ),		ord('''ÿ'''       ) + 1       )       )
			)
			lowercase							=		bs[:]
			lowercase							=		0
			for b in range(2**8       ):
						if b not in bs:
									bs.append(UpperCAmelCase       )
									cs.append(2**8 + n       )
									n += 1
			lowercase							=		[chr(UpperCAmelCase       ) for n in cs]
			return dict(zip(UpperCAmelCase,		UpperCAmelCase       )       )






def        __UpperCAmelCase    (       UpperCAmelCase       )->       str:



			"""simple docstring"""







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






class      __lowercase					(    _A    ):
						lowercase					 =     VOCAB_FILES_NAMES
						lowercase					 =     PRETRAINED_VOCAB_FILES_MAP
						lowercase					 =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowercase					 =     ['input_ids', 'attention_mask']

						def __init__(	self				:      Optional[int]							,							__lowerCamelCase				:      List[str]							,							__lowerCamelCase				:      str							,							__lowerCamelCase				:      Union[str, Any]="replace"							,							__lowerCamelCase				:      Optional[Any]="<s>"							,							__lowerCamelCase				:      int="</s>"							,							__lowerCamelCase				:      int="</s>"							,							__lowerCamelCase				:      Optional[Any]="<s>"							,							__lowerCamelCase				:      Optional[int]="<unk>"							,							__lowerCamelCase				:      List[str]="<pad>"							,							__lowerCamelCase				:      Union[str, Any]="<mask>"							,							__lowerCamelCase				:      str=False							,							**__lowerCamelCase				:      List[str]							,							)							->		Dict:


									'''simple docstring'''

									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else bos_token
									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else eos_token
									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else sep_token
									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else cls_token
									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else unk_token
									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else pad_token

									# Mask token behave like a normal word, i.e. include the space before it
									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else mask_token

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

									with open(__lowerCamelCase							,							encoding='''utf-8'''   ) as vocab_handle:
												lowercase							=		json.load(__lowerCamelCase   )
									lowercase							=		{v: k for k, v in self.encoder.items()}
									lowercase							=		errors  # how to handle errors in decoding
									lowercase							=		bytes_to_unicode()
									lowercase							=		{v: k for k, v in self.byte_encoder.items()}
									with open(__lowerCamelCase							,							encoding='''utf-8'''   ) as merges_handle:
												lowercase							=		merges_handle.read().split('''\n'''   )[1:-1]
									lowercase							=		[tuple(merge.split()   ) for merge in bpe_merges]
									lowercase							=		dict(zip(__lowerCamelCase							,							range(len(__lowerCamelCase   )   )   )   )
									lowercase							=		{}
									lowercase							=		add_prefix_space

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									lowercase							=		re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''   )

						@property
						def        __a		(	self				:      int   )							->		Any:


									'''simple docstring'''

									return len(self.encoder   )

						def        __a		(	self				:      List[str]   )							->		Any:


									'''simple docstring'''

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

						def        __a		(	self				:      List[str]							,							__lowerCamelCase				:      Any   )							->		List[str]:


									'''simple docstring'''

									if token in self.cache:
												return self.cache[token]
									lowercase							=		tuple(__lowerCamelCase   )
									lowercase							=		get_pairs(__lowerCamelCase   )

									if not pairs:
												return token

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

															if word[i] == first and i < len(__lowerCamelCase   ) - 1 and word[i + 1] == second:
																		new_word.append(first + second   )
																		i += 2
															else:
																		new_word.append(word[i]   )
																		i += 1
												lowercase							=		tuple(__lowerCamelCase   )
												lowercase							=		new_word
												if len(__lowerCamelCase   ) == 1:
															break
												else:
															lowercase							=		get_pairs(__lowerCamelCase   )
									lowercase							=		''' '''.join(__lowerCamelCase   )
									lowercase							=		word
									return word

						def        __a		(	self				:      List[str]							,							__lowerCamelCase				:      Union[str, Any]   )							->		List[str]:


									'''simple docstring'''

									lowercase							=		[]
									for token in re.findall(self.pat							,							__lowerCamelCase   ):
												lowercase							=		''''''.join(
												    self.byte_encoder[b] for b in token.encode('''utf-8'''   )   )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
												bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowerCamelCase   ).split(''' '''   )   )
									return bpe_tokens

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      Optional[int]   )							->		List[str]:


									'''simple docstring'''

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

						def        __a		(	self				:      List[str]							,							__lowerCamelCase				:      Union[str, Any]   )							->		Any:


									'''simple docstring'''

									return self.decoder.get(__lowerCamelCase   )

						def        __a		(	self				:      str							,							__lowerCamelCase				:      List[Any]   )							->		Any:


									'''simple docstring'''

									lowercase							=		''''''.join(__lowerCamelCase   )
									lowercase							=		bytearray([self.byte_decoder[c] for c in text]   ).decode('''utf-8'''							,							errors=self.errors   )
									return text

						def        __a		(	self				:      Dict							,							__lowerCamelCase				:      str							,							__lowerCamelCase				:      Optional[str] = None   )							->		Tuple[str]:


									'''simple docstring'''

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

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

									lowercase							=		0
									with open(__lowerCamelCase							,							'''w'''							,							encoding='''utf-8'''   ) as writer:
												writer.write('''#version: 0.2\n'''   )
												for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,							key=lambda __lowerCamelCase   : kv[1]   ):
															if index != token_index:
																		logger.warning(
																		    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																		    ''' Please check that the tokenizer is not corrupted!'''   )
																		lowercase							=		token_index
															writer.write(''' '''.join(__lowerCamelCase   ) + '''\n'''   )
															index += 1

									return vocab_file, merge_file

						def        __a		(	self				:      List[Any]							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None   )							->		List[int]:


									'''simple docstring'''

									if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									lowercase							=		[self.cls_token_id]
									lowercase							=		[self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep

						def        __a		(	self				:      str							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None							,							__lowerCamelCase				:      bool = False   )							->		List[int]:


									'''simple docstring'''

									if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=__lowerCamelCase							,							token_ids_a=__lowerCamelCase							,							already_has_special_tokens=__lowerCamelCase   )

									if token_ids_a is None:
												return [1] + ([0] * len(__lowerCamelCase   )) + [1]
									return [1] + ([0] * len(__lowerCamelCase   )) + [1, 1] + ([0] * len(__lowerCamelCase   )) + [1]

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None   )							->		List[int]:


									'''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]



						def        __a		(	self				:      Union[str, Any]							,							__lowerCamelCase				:      List[Any]							,							__lowerCamelCase				:      Optional[Any]=False							,							**__lowerCamelCase				:      List[str]   )							->		int:


									'''simple docstring'''

									lowercase							=		kwargs.pop('''add_prefix_space'''							,							self.add_prefix_space   )
									if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase   ) > 0 and not text[0].isspace()):
												lowercase							=		''' ''' + text
									return (text, kwargs)





