




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


_A     =			logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_A     =			{
    '''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''',
    },
}

_A     =			{
    '''allenai/led-base-16384''': 16_384,
}





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





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  set()
						lowerCAmelCase_      			=  word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)  )
												lowerCAmelCase_      			=  char
						return pairs






class  A		(  __UpperCAmelCase     ):
		__snake_case									=   VOCAB_FILES_NAMES
		__snake_case									=   PRETRAINED_VOCAB_FILES_MAP
		__snake_case									=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__snake_case									=   ['input_ids', 'attention_mask']



		def __init__(     self,	UpperCamelCase__,	UpperCamelCase__,	UpperCamelCase__="replace",	UpperCamelCase__="<s>",	UpperCamelCase__="</s>",	UpperCamelCase__="</s>",	UpperCamelCase__="<s>",	UpperCamelCase__="<unk>",	UpperCamelCase__="<pad>",	UpperCamelCase__="<mask>",	UpperCamelCase__=False,	**UpperCamelCase__,	):







								"""simple docstring"""



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

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

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

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

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								lowerCAmelCase_      			=  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        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								return len(self.encoder   )



		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								if token in self.cache:
														return self.cache[token]
								lowerCAmelCase_      			=  tuple(UpperCamelCase__   )
								lowerCAmelCase_      			=  get_pairs(UpperCamelCase__   )

								if not pairs:
														return token

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

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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								lowerCAmelCase_      			=  []
								for token in re.findall(self.pat,	UpperCamelCase__   ):
														lowerCAmelCase_      			=  ''''''.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(UpperCamelCase__   ).split(''' '''   )   )
								return bpe_tokens



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								return self.decoder.get(UpperCamelCase__   )



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None   ):







								"""simple docstring"""



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

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

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

								return vocab_file, merge_file



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None   ):







								"""simple docstring"""



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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None,	UpperCamelCase__ = False   ):







								"""simple docstring"""



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

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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None   ):







								"""simple docstring"""



								lowerCAmelCase_      			=  [self.sep_token_id]
								lowerCAmelCase_      			=  [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        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__=False,	**UpperCamelCase__   ):







								"""simple docstring"""



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







		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__,	UpperCamelCase__ = None,	UpperCamelCase__ = PaddingStrategy.DO_NOT_PAD,	UpperCamelCase__ = None,	UpperCamelCase__ = None,	):







								"""simple docstring"""



								lowerCAmelCase_      			=  super()._pad(
								    encoded_inputs=UpperCamelCase__,	max_length=UpperCamelCase__,	padding_strategy=UpperCamelCase__,	pad_to_multiple_of=UpperCamelCase__,	return_attention_mask=UpperCamelCase__,	)

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

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

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

								return encoded_inputs










def __UpperCamelCase			(       _A  ):
						if not numbers:
												return 0

						if not isinstance(_A ,  (list, tuple)  ) or not all(
						    isinstance(_A ,  _A  ) for number in numbers  ):
												raise ValueError('''numbers must be an iterable of integers'''  )

						lowerCAmelCase_      			=  lowerCAmelCase_      			=  lowerCAmelCase_      			=  numbers[0]

						for i in range(1 ,  len(_A  )  ):
												# update the maximum and minimum subarray products
												lowerCAmelCase_      			=  numbers[i]
												if number < 0:
																		lowerCAmelCase_			,					lowerCAmelCase_      			=  min_till_now, max_till_now
												lowerCAmelCase_      			=  max(_A ,  max_till_now * number  )
												lowerCAmelCase_      			=  min(_A ,  min_till_now * number  )

												# update the maximum product found till now
												lowerCAmelCase_      			=  max(_A ,  _A  )

						return max_prod




