






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


lowercase  :							Union[str, Any]			  =    logging.get_logger(__name__)


lowercase  :							Union[str, Any]			  =    {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all LED models at https://huggingface.co/models?filter=LED
lowercase  :							Optional[Any]			  =    {
    '''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''',
    },
}

lowercase  :							Optional[Any]			  =    {
    '''allenai/led-base-16384''': 1_63_84,
}

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

def      lowerCAmelCase__	(    _a       :			Tuple    ):
		snake_case_				:							int						 =       set()
		snake_case_				:							Union[str, Any]						 =       word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)    )
				snake_case_				:							Dict						 =       char
		return pairs




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




						A     :   Tuple						=					VOCAB_FILES_NAMES
						A     :   Any						=					PRETRAINED_VOCAB_FILES_MAP
						A     :   Optional[int]						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						A     :   List[str]						=					['input_ids', 'attention_mask']






						def __init__(	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE="replace"		,				_SCREAMING_SNAKE_CASE="<s>"		,				_SCREAMING_SNAKE_CASE="</s>"		,				_SCREAMING_SNAKE_CASE="</s>"		,				_SCREAMING_SNAKE_CASE="<s>"		,				_SCREAMING_SNAKE_CASE="<unk>"		,				_SCREAMING_SNAKE_CASE="<pad>"		,				_SCREAMING_SNAKE_CASE="<mask>"		,				_SCREAMING_SNAKE_CASE=False		,				**_SCREAMING_SNAKE_CASE		,				) ->				List[str]:
								snake_case_				:							Tuple						 =       AddedToken(_SCREAMING_SNAKE_CASE		,				lstrip=_SCREAMING_SNAKE_CASE		,				rstrip=_SCREAMING_SNAKE_CASE				) if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) else bos_token
								snake_case_				:							Any						 =       AddedToken(_SCREAMING_SNAKE_CASE		,				lstrip=_SCREAMING_SNAKE_CASE		,				rstrip=_SCREAMING_SNAKE_CASE				) if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) else eos_token
								snake_case_				:							Dict						 =       AddedToken(_SCREAMING_SNAKE_CASE		,				lstrip=_SCREAMING_SNAKE_CASE		,				rstrip=_SCREAMING_SNAKE_CASE				) if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) else sep_token
								snake_case_				:							Union[str, Any]						 =       AddedToken(_SCREAMING_SNAKE_CASE		,				lstrip=_SCREAMING_SNAKE_CASE		,				rstrip=_SCREAMING_SNAKE_CASE				) if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) else cls_token
								snake_case_				:							List[str]						 =       AddedToken(_SCREAMING_SNAKE_CASE		,				lstrip=_SCREAMING_SNAKE_CASE		,				rstrip=_SCREAMING_SNAKE_CASE				) if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) else unk_token
								snake_case_				:							List[Any]						 =       AddedToken(_SCREAMING_SNAKE_CASE		,				lstrip=_SCREAMING_SNAKE_CASE		,				rstrip=_SCREAMING_SNAKE_CASE				) if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) else pad_token

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

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

								with open(_SCREAMING_SNAKE_CASE		,				encoding="utf-8"				) as vocab_handle:
										snake_case_				:							Union[str, Any]						 =       json.load(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							Optional[int]						 =       {v: k for k, v in self.encoder.items()}
								snake_case_				:							Tuple						 =       errors  # how to handle errors in decoding
								snake_case_				:							Any						 =       bytes_to_unicode()
								snake_case_				:							Optional[Any]						 =       {v: k for k, v in self.byte_encoder.items()}
								with open(_SCREAMING_SNAKE_CASE		,				encoding="utf-8"				) as merges_handle:
										snake_case_				:							List[Any]						 =       merges_handle.read().split("\n"				)[1:-1]
								snake_case_				:							Tuple						 =       [tuple(merge.split()				) for merge in bpe_merges]
								snake_case_				:							List[str]						 =       dict(zip(_SCREAMING_SNAKE_CASE		,				range(len(_SCREAMING_SNAKE_CASE				)				)				)				)
								snake_case_				:							str						 =       {}
								snake_case_				:							Dict						 =       add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								snake_case_				:							Tuple						 =       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       _lowerCAmelCase       (	self				) ->				Optional[int]:
								return len(self.encoder				)






						def       _lowerCAmelCase       (	self				) ->				Union[str, Any]:
								return dict(self.encoder		,				**self.added_tokens_encoder				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				Dict:
								if token in self.cache:
										return self.cache[token]
								snake_case_				:							List[str]						 =       tuple(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							str						 =       get_pairs(_SCREAMING_SNAKE_CASE				)

								if not pairs:
										return token

								while True:
										snake_case_				:							List[Any]						 =       min(_SCREAMING_SNAKE_CASE		,				key=lambda _SCREAMING_SNAKE_CASE				: self.bpe_ranks.get(_SCREAMING_SNAKE_CASE		,				float("inf"				)				)				)
										if bigram not in self.bpe_ranks:
												break
										snake_case_ ,       snake_case_				:							str						 =       bigram
										snake_case_				:							Tuple						 =       []
										snake_case_				:							List[str]						 =       0
										while i < len(_SCREAMING_SNAKE_CASE				):
												try:
														snake_case_				:							Optional[Any]						 =       word.index(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				)
												except ValueError:
														new_word.extend(word[i:]				)
														break
												else:
														new_word.extend(word[i:j]				)
														snake_case_				:							Optional[int]						 =       j

												if word[i] == first and i < len(_SCREAMING_SNAKE_CASE				) - 1 and word[i + 1] == second:
														new_word.append(first + second				)
														i += 2
												else:
														new_word.append(word[i]				)
														i += 1
										snake_case_				:							Tuple						 =       tuple(_SCREAMING_SNAKE_CASE				)
										snake_case_				:							str						 =       new_word
										if len(_SCREAMING_SNAKE_CASE				) == 1:
												break
										else:
												snake_case_				:							Dict						 =       get_pairs(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							Optional[Any]						 =       " ".join(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							Union[str, Any]						 =       word
								return word






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				Union[str, Any]:
								snake_case_				:							int						 =       []
								for token in re.findall(self.pat		,				_SCREAMING_SNAKE_CASE				):
										snake_case_				:							List[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(_SCREAMING_SNAKE_CASE				).split(" "				)				)
								return bpe_tokens






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				Optional[Any]:
								return self.encoder.get(_SCREAMING_SNAKE_CASE		,				self.encoder.get(self.unk_token				)				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				str:
								return self.decoder.get(_SCREAMING_SNAKE_CASE				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				List[Any]:
								snake_case_				:							Union[str, Any]						 =       "".join(_SCREAMING_SNAKE_CASE				)
								snake_case_				:							Any						 =       bytearray([self.byte_decoder[c] for c in text]				).decode("utf-8"		,				errors=self.errors				)
								return text






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None				) ->				Tuple[str]:
								if not os.path.isdir(_SCREAMING_SNAKE_CASE				):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''				)
										return
								snake_case_				:							List[str]						 =       os.path.join(
								    _SCREAMING_SNAKE_CASE		,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]				)
								snake_case_				:							Tuple						 =       os.path.join(
								    _SCREAMING_SNAKE_CASE		,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]				)

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

								snake_case_				:							str						 =       0
								with open(_SCREAMING_SNAKE_CASE		,				"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 _SCREAMING_SNAKE_CASE				: 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!"				)
														snake_case_				:							Union[str, Any]						 =       token_index
												writer.write(" ".join(_SCREAMING_SNAKE_CASE				) + "\n"				)
												index += 1

								return vocab_file, merge_file






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None				) ->				List[int]:
								if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								snake_case_				:							List[Any]						 =       [self.cls_token_id]
								snake_case_				:							int						 =       [self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None		,				_SCREAMING_SNAKE_CASE = False				) ->				List[int]:
								if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=_SCREAMING_SNAKE_CASE		,				token_ids_a=_SCREAMING_SNAKE_CASE		,				already_has_special_tokens=_SCREAMING_SNAKE_CASE				)

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






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None				) ->				List[int]:
								snake_case_				:							Any						 =       [self.sep_token_id]
								snake_case_				:							Optional[int]						 =       [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       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE=False		,				**_SCREAMING_SNAKE_CASE				) ->				Tuple:
								snake_case_				:							Optional[Any]						 =       kwargs.pop("add_prefix_space"		,				self.add_prefix_space				)
								if (is_split_into_words or add_prefix_space) and (len(_SCREAMING_SNAKE_CASE				) > 0 and not text[0].isspace()):
										snake_case_				:							Tuple						 =       " " + text
								return (text, kwargs)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE = None		,				_SCREAMING_SNAKE_CASE = PaddingStrategy.DO_NOT_PAD		,				_SCREAMING_SNAKE_CASE = None		,				_SCREAMING_SNAKE_CASE = None		,				) ->				dict:
								snake_case_				:							Any						 =       super()._pad(
								    encoded_inputs=_SCREAMING_SNAKE_CASE		,				max_length=_SCREAMING_SNAKE_CASE		,				padding_strategy=_SCREAMING_SNAKE_CASE		,				pad_to_multiple_of=_SCREAMING_SNAKE_CASE		,				return_attention_mask=_SCREAMING_SNAKE_CASE		,				)

								# Load from model defaults
								if return_attention_mask is None:
										snake_case_				:							int						 =       "attention_mask" in self.model_input_names

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

										if needs_to_be_padded:
												snake_case_				:							List[Any]						 =       len(_SCREAMING_SNAKE_CASE				) - 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`
														snake_case_				:							Union[str, Any]						 =       (
														    encoded_inputs["global_attention_mask"] + [-1] * difference
														)
												elif self.padding_side == "left":
														snake_case_				:							List[Any]						 =       [-1] * difference + encoded_inputs[
														    "global_attention_mask"
														]
												else:
														raise ValueError("Invalid padding strategy:" + str(self.padding_side				)				)

								return encoded_inputs








def      lowerCAmelCase__	(    _a       :			int    ):
		if num < 0:
				return False

		snake_case_				:							int						 =       num
		snake_case_				:							int						 =       0
		while num > 0:
				snake_case_				:							Union[str, Any]						 =       rev_num * 10 + (num % 10)
				num //= 10

		return num_copy == rev_num


if __name__ == "__main__":
							import doctest

							doctest.testmod()
