


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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


_UpperCAmelCase			:  Tuple     =logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_UpperCAmelCase			:  int     ={
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

_UpperCAmelCase			:  List[str]     ={
    "allenai/led-base-16384": 1_6384,
}



@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 			lowerCAmelCase (		)-> Tuple:
				lowerCAmelCase_ :      Any    				=				(
				    list(range(ord('''!''' ) ,   ord('''~''' ) + 1 ) ) + list(range(ord('''¡''' ) ,   ord('''¬''' ) + 1 ) ) + list(range(ord('''®''' ) ,   ord('''ÿ''' ) + 1 ) )
				)
				lowerCAmelCase_ :      int    				=				bs[:]
				lowerCAmelCase_ :      Union[str, Any]    				=				0
				for b in range(2**8 ):
								if b not in bs:
												bs.append(a_ )
												cs.append(2**8 + n )
												n += 1
				lowerCAmelCase_ :      Optional[int]    				=				[chr(a_ ) for n in cs]
				return dict(zip(a_ ,   a_ ) )



def 			lowerCAmelCase (		lowerCAmelCase_ )-> str:
				lowerCAmelCase_ :      Optional[int]    				=				set()
				lowerCAmelCase_ :      Tuple    				=				word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								lowerCAmelCase_ :      Any    				=				char
				return pairs







class 				snake_case__(							_UpperCAmelCase							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  Dict					=							VOCAB_FILES_NAMES
						SCREAMING_SNAKE_CASE__      :  Dict					=							PRETRAINED_VOCAB_FILES_MAP
						SCREAMING_SNAKE_CASE__      :  Dict					=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						SCREAMING_SNAKE_CASE__      :  Optional[int]					=							["""input_ids""", """attention_mask"""]




						def __init__(				self   ,						__lowercase   ,						__lowercase   ,						__lowercase="replace"   ,						__lowercase="<s>"   ,						__lowercase="</s>"   ,						__lowercase="</s>"   ,						__lowercase="<s>"   ,						__lowercase="<unk>"   ,						__lowercase="<pad>"   ,						__lowercase="<mask>"   ,						__lowercase=False   ,						**__lowercase   ,						)					->    List[Any]:
										lowerCAmelCase_ :      List[str]    				=				AddedToken(lowerCamelCase_   ,						lstrip=lowerCamelCase_   ,						rstrip=lowerCamelCase_							) if isinstance(lowerCamelCase_   ,						lowerCamelCase_							) else bos_token
										lowerCAmelCase_ :      Optional[Any]    				=				AddedToken(lowerCamelCase_   ,						lstrip=lowerCamelCase_   ,						rstrip=lowerCamelCase_							) if isinstance(lowerCamelCase_   ,						lowerCamelCase_							) else eos_token
										lowerCAmelCase_ :      Dict    				=				AddedToken(lowerCamelCase_   ,						lstrip=lowerCamelCase_   ,						rstrip=lowerCamelCase_							) if isinstance(lowerCamelCase_   ,						lowerCamelCase_							) else sep_token
										lowerCAmelCase_ :      Optional[Any]    				=				AddedToken(lowerCamelCase_   ,						lstrip=lowerCamelCase_   ,						rstrip=lowerCamelCase_							) if isinstance(lowerCamelCase_   ,						lowerCamelCase_							) else cls_token
										lowerCAmelCase_ :      Optional[Any]    				=				AddedToken(lowerCamelCase_   ,						lstrip=lowerCamelCase_   ,						rstrip=lowerCamelCase_							) if isinstance(lowerCamelCase_   ,						lowerCamelCase_							) else unk_token
										lowerCAmelCase_ :      Union[str, Any]    				=				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
										lowerCAmelCase_ :      int    				=				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:
														lowerCAmelCase_ :      Optional[Any]    				=				json.load(lowerCamelCase_							)
										lowerCAmelCase_ :      Dict    				=				{v: k for k, v in self.encoder.items()}
										lowerCAmelCase_ :      str    				=				errors  # how to handle errors in decoding
										lowerCAmelCase_ :      List[str]    				=				bytes_to_unicode()
										lowerCAmelCase_ :      Dict    				=				{v: k for k, v in self.byte_encoder.items()}
										with open(lowerCamelCase_   ,						encoding='''utf-8'''							) as merges_handle:
														lowerCAmelCase_ :      List[str]    				=				merges_handle.read().split('''\n'''							)[1:-1]
										lowerCAmelCase_ :      Union[str, Any]    				=				[tuple(merge.split()							) for merge in bpe_merges]
										lowerCAmelCase_ :      Union[str, Any]    				=				dict(zip(lowerCamelCase_   ,						range(len(lowerCamelCase_							)							)							)							)
										lowerCAmelCase_ :      Dict    				=				{}
										lowerCAmelCase_ :      int    				=				add_prefix_space

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




						@property
						# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
						def 						lowercase_ (				self							)					->    str:
										return len(self.encoder							)




						def 						lowercase_ (				self							)					->    Any:
										return dict(self.encoder   ,						**self.added_tokens_encoder							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    List[str]:




										if token in self.cache:
														return self.cache[token]
										lowerCAmelCase_ :      List[Any]    				=				tuple(lowerCamelCase_							)
										lowerCAmelCase_ :      Tuple    				=				get_pairs(lowerCamelCase_							)

										if not pairs:
														return token

										while True:
														lowerCAmelCase_ :      Optional[Any]    				=				min(lowerCamelCase_   ,						key=lambda __lowercase							: self.bpe_ranks.get(lowerCamelCase_   ,						float('''inf'''							)							)							)
														if bigram not in self.bpe_ranks:
																		break
														lowerCAmelCase_ :      List[Any]    				=				bigram
														lowerCAmelCase_ :      Optional[Any]    				=				[]
														lowerCAmelCase_ :      str    				=				0
														while i < len(lowerCamelCase_							):
																		try:
																						lowerCAmelCase_ :      Tuple    				=				word.index(lowerCamelCase_   ,						lowerCamelCase_							)
																		except ValueError:
																						new_word.extend(word[i:]							)
																						break
																		else:
																						new_word.extend(word[i:j]							)
																						lowerCAmelCase_ :      str    				=				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
														lowerCAmelCase_ :      Any    				=				tuple(lowerCamelCase_							)
														lowerCAmelCase_ :      int    				=				new_word
														if len(lowerCamelCase_							) == 1:
																		break
														else:
																		lowerCAmelCase_ :      Optional[int]    				=				get_pairs(lowerCamelCase_							)
										lowerCAmelCase_ :      int    				=				''' '''.join(lowerCamelCase_							)
										lowerCAmelCase_ :      Optional[Any]    				=				word
										return word




						def 						lowercase_ (				self   ,						__lowercase							)					->    Tuple:
										lowerCAmelCase_ :      str    				=				[]
										for token in re.findall(self.pat   ,						lowerCamelCase_							):
														lowerCAmelCase_ :      Optional[Any]    				=				''''''.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 						lowercase_ (				self   ,						__lowercase							)					->    Dict:
										return self.encoder.get(lowerCamelCase_   ,						self.encoder.get(self.unk_token							)							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    Union[str, Any]:
										return self.decoder.get(lowerCamelCase_							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    Union[str, Any]:
										lowerCAmelCase_ :      Optional[Any]    				=				''''''.join(lowerCamelCase_							)
										lowerCAmelCase_ :      Any    				=				bytearray([self.byte_decoder[c] for c in text]							).decode('''utf-8'''   ,						errors=self.errors							)
										return text




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    Tuple[str]:




										if not os.path.isdir(lowerCamelCase_							):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
														return
										lowerCAmelCase_ :      List[Any]    				=				os.path.join(
										    lowerCamelCase_   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
										lowerCAmelCase_ :      Union[str, Any]    				=				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'''							)

										lowerCAmelCase_ :      Any    				=				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 __lowercase							: 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!'''							)
																						lowerCAmelCase_ :      Union[str, Any]    				=				token_index
																		writer.write(''' '''.join(lowerCamelCase_							) + '''\n'''							)
																		index += 1

										return vocab_file, merge_file




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    List[int]:




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




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None   ,						__lowercase = False							)					->    List[int]:




										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 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    List[int]:
										lowerCAmelCase_ :      List[str]    				=				[self.sep_token_id]
										lowerCAmelCase_ :      Any    				=				[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 						lowercase_ (				self   ,						__lowercase   ,						__lowercase=False   ,						**__lowercase							)					->    Optional[Any]:
										lowerCAmelCase_ :      List[str]    				=				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()):
														lowerCAmelCase_ :      List[Any]    				=				''' ''' + text
										return (text, kwargs)




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None   ,						__lowercase = PaddingStrategy.DO_NOT_PAD   ,						__lowercase = None   ,						__lowercase = None   ,						)					->    dict:
										lowerCAmelCase_ :      Optional[int]    				=				super()._pad(
										    encoded_inputs=lowerCamelCase_   ,						max_length=lowerCamelCase_   ,						padding_strategy=lowerCamelCase_   ,						pad_to_multiple_of=lowerCamelCase_   ,						return_attention_mask=lowerCamelCase_   ,						)

										# Load from model defaults
										if return_attention_mask is None:
														lowerCAmelCase_ :      List[Any]    				=				'''attention_mask''' in self.model_input_names

										if return_attention_mask and "global_attention_mask" in encoded_inputs:
														lowerCAmelCase_ :      int    				=				encoded_inputs[self.model_input_names[0]]
														# `global_attention_mask` need to have the same length as other (sequential) inputs.
														lowerCAmelCase_ :      str    				=				len(encoded_inputs['''global_attention_mask''']							) != len(lowerCamelCase_							)

														if needs_to_be_padded:
																		lowerCAmelCase_ :      Any    				=				len(lowerCamelCase_							) - len(encoded_inputs['''global_attention_mask''']							)

																		if self.padding_side == "right":
																						# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
																						lowerCAmelCase_ :      Any    				=				(
																						    encoded_inputs['''global_attention_mask'''] + [-1] * difference
																						)
																		elif self.padding_side == "left":
																						lowerCAmelCase_ :      Any    				=				[-1] * difference + encoded_inputs[
																						    '''global_attention_mask'''
																						]
																		else:
																						raise ValueError('''Invalid padding strategy:''' + str(self.padding_side							)							)

										return encoded_inputs



_UpperCAmelCase			:  Dict     =[
    (1000, """M"""),
    (900, """CM"""),
    (500, """D"""),
    (400, """CD"""),
    (100, """C"""),
    (90, """XC"""),
    (50, """L"""),
    (40, """XL"""),
    (10, """X"""),
    (9, """IX"""),
    (5, """V"""),
    (4, """IV"""),
    (1, """I"""),
]



def 			lowerCAmelCase (		lowerCAmelCase_ )-> int:
				lowerCAmelCase_ :      Any    				=				{'''I''': 1, '''V''': 5, '''X''': 10, '''L''': 50, '''C''': 100, '''D''': 500, '''M''': 1_000}
				lowerCAmelCase_ :      Optional[int]    				=				0
				lowerCAmelCase_ :      List[str]    				=				0
				while place < len(lowerCAmelCase_ ):
								if (place + 1 < len(lowerCAmelCase_ )) and (vals[roman[place]] < vals[roman[place + 1]]):
												total += vals[roman[place + 1]] - vals[roman[place]]
												place += 2
								else:
												total += vals[roman[place]]
												place += 1
				return total



def 			lowerCAmelCase (		lowerCAmelCase_ )-> str:
				lowerCAmelCase_ :      List[Any]    				=				[]
				for arabic, roman in ROMAN:
								((lowerCAmelCase_)				,  (lowerCAmelCase_)) :      Optional[int]    				=				divmod(lowerCAmelCase_ ,   lowerCAmelCase_ )
								result.append(roman * factor )
								if number == 0:
												break
				return "".join(lowerCAmelCase_ )


if __name__ == "__main__":
						import doctest

						doctest.testmod()