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									=				logging.get_logger(__name__)


lowercase									=				{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all LED models at https://huggingface.co/models?filter=LED
lowercase									=				{
    '''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									=				{
    '''allenai/led-base-16384''': 1_6_3_8_4,
}






@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def        lowerCamelCase_					(     ):







				'''simple docstring'''







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






def        lowerCamelCase_					(     UpperCamelCase__       :						List[str]			):







				'''simple docstring'''







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







class 	__lowercase    (			_lowercase       ):




				'''simple docstring'''


				_A      :		str   						=			VOCAB_FILES_NAMES
				_A      :		str   						=			PRETRAINED_VOCAB_FILES_MAP
				_A      :		Union[str, Any]   						=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_A      :		List[str]   						=			['''input_ids''', '''attention_mask''']





				def __init__(		self    :		Dict      ,							_a    :		str      ,							_a    :		str      ,							_a    :		int="replace"      ,							_a    :		Optional[Any]="<s>"      ,							_a    :		Dict="</s>"      ,							_a    :		Any="</s>"      ,							_a    :		str="<s>"      ,							_a    :		str="<unk>"      ,							_a    :		Optional[int]="<pad>"      ,							_a    :		Dict="<mask>"      ,							_a    :		List[Any]=False      ,							**_a    :		Any      ,							):
								UpperCamelCase__					=				AddedToken(_snake_case      ,							lstrip=_snake_case      ,							rstrip=_snake_case				) if isinstance(_snake_case      ,							_snake_case				) else bos_token
								UpperCamelCase__					=				AddedToken(_snake_case      ,							lstrip=_snake_case      ,							rstrip=_snake_case				) if isinstance(_snake_case      ,							_snake_case				) else eos_token
								UpperCamelCase__					=				AddedToken(_snake_case      ,							lstrip=_snake_case      ,							rstrip=_snake_case				) if isinstance(_snake_case      ,							_snake_case				) else sep_token
								UpperCamelCase__					=				AddedToken(_snake_case      ,							lstrip=_snake_case      ,							rstrip=_snake_case				) if isinstance(_snake_case      ,							_snake_case				) else cls_token
								UpperCamelCase__					=				AddedToken(_snake_case      ,							lstrip=_snake_case      ,							rstrip=_snake_case				) if isinstance(_snake_case      ,							_snake_case				) else unk_token
								UpperCamelCase__					=				AddedToken(_snake_case      ,							lstrip=_snake_case      ,							rstrip=_snake_case				) if isinstance(_snake_case      ,							_snake_case				) else pad_token

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

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

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

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								UpperCamelCase__					=				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      A_							(		self    :		List[str]				):
								return len(self.encoder				)





				def      A_							(		self    :		List[Any]				):
								return dict(self.encoder      ,							**self.added_tokens_encoder				)





				def      A_							(		self    :		List[Any]      ,							_a    :		List[str]				):
								if token in self.cache:
												return self.cache[token]
								UpperCamelCase__					=				tuple(_snake_case				)
								UpperCamelCase__					=				get_pairs(_snake_case				)

								if not pairs:
												return token

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

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





				def      A_							(		self    :		str      ,							_a    :		List[str]				):
								UpperCamelCase__					=				[]
								for token in re.findall(self.pat      ,							_snake_case				):
												UpperCamelCase__					=				''''''.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(_snake_case				).split(''' '''				)				)
								return bpe_tokens





				def      A_							(		self    :		Tuple      ,							_a    :		int				):
								return self.encoder.get(_snake_case      ,							self.encoder.get(self.unk_token				)				)





				def      A_							(		self    :		Any      ,							_a    :		Optional[Any]				):
								return self.decoder.get(_snake_case				)





				def      A_							(		self    :		str      ,							_a    :		str				):
								UpperCamelCase__					=				''''''.join(_snake_case				)
								UpperCamelCase__					=				bytearray([self.byte_decoder[c] for c in text]				).decode('''utf-8'''      ,							errors=self.errors				)
								return text





				def      A_							(		self    :		Optional[int]      ,							_a    :		str      ,							_a    :		Optional[str] = None				):
								if not os.path.isdir(_snake_case				):
												logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""				)
												return
								UpperCamelCase__					=				os.path.join(
								    _snake_case      ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
								UpperCamelCase__					=				os.path.join(
								    _snake_case      ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']				)

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

								UpperCamelCase__					=				0
								with open(_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 _a				: 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!'''				)
																				UpperCamelCase__					=				token_index
																writer.write(''' '''.join(_snake_case				) + '''\n'''				)
																index += 1

								return vocab_file, merge_file





				def      A_							(		self    :		Tuple      ,							_a    :		List[int]      ,							_a    :		Optional[List[int]] = None				):
								if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								UpperCamelCase__					=				[self.cls_token_id]
								UpperCamelCase__					=				[self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep





				def      A_							(		self    :		List[Any]      ,							_a    :		List[int]      ,							_a    :		Optional[List[int]] = None      ,							_a    :		bool = False				):
								if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=_snake_case      ,							token_ids_a=_snake_case      ,							already_has_special_tokens=_snake_case				)

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





				def      A_							(		self    :		List[str]      ,							_a    :		List[int]      ,							_a    :		Optional[List[int]] = None				):
								UpperCamelCase__					=				[self.sep_token_id]
								UpperCamelCase__					=				[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    :		Any      ,							_a    :		List[str]      ,							_a    :		Any=False      ,							**_a    :		Dict				):
								UpperCamelCase__					=				kwargs.pop('''add_prefix_space'''      ,							self.add_prefix_space				)
								if (is_split_into_words or add_prefix_space) and (len(_snake_case				) > 0 and not text[0].isspace()):
												UpperCamelCase__					=				''' ''' + text
								return (text, kwargs)





				def      A_							(		self    :		Union[str, Any]      ,							_a    :		Union[Dict[str, EncodedInput], BatchEncoding]      ,							_a    :		Optional[int] = None      ,							_a    :		PaddingStrategy = PaddingStrategy.DO_NOT_PAD      ,							_a    :		Optional[int] = None      ,							_a    :		Optional[bool] = None      ,							):
								UpperCamelCase__					=				super()._pad(
								    encoded_inputs=_snake_case      ,							max_length=_snake_case      ,							padding_strategy=_snake_case      ,							pad_to_multiple_of=_snake_case      ,							return_attention_mask=_snake_case      ,							)

								# Load from model defaults
								if return_attention_mask is None:
												UpperCamelCase__					=				'''attention_mask''' in self.model_input_names

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

												if needs_to_be_padded:
																UpperCamelCase__					=				len(_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`
																				UpperCamelCase__					=				(
																				    encoded_inputs['''global_attention_mask'''] + [-1] * difference
																				)
																elif self.padding_side == "left":
																				UpperCamelCase__					=				[-1] * difference + encoded_inputs[
																				    '''global_attention_mask'''
																				]
																else:
																				raise ValueError('''Invalid padding strategy:''' + str(self.padding_side				)				)

								return encoded_inputs





"""simple docstring"""





from __future__ import annotations
def 				A_  (__a					, __a = None					, __a = None					):

					'''simple docstring'''





					if start is None:
										A_								=    0

					if end is None:
										A_								=    len(__a					) - 1

					if start >= end:
										return

					A_								=    (start + end) // 2

					slowsort(__a					, __a					, __a					)
					slowsort(__a					, mid + 1					, __a					)

					if sequence[end] < sequence[mid]:
										A_			,     A_								=    sequence[mid], sequence[end]

					slowsort(__a					, __a					, end - 1					)


if __name__ == "__main__":
		from doctest import testmod

		testmod()




