


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


a			:			List[str]												=					{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

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

a			:			Union[str, Any]												=					{
    '''allenai/led-base-16384''': 16384,
}


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


			'''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 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







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





class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					__UpperCAmelCase							  =					VOCAB_FILES_NAMES
					__UpperCAmelCase							  =					PRETRAINED_VOCAB_FILES_MAP
					__UpperCAmelCase							  =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCAmelCase							  =					["input_ids", "attention_mask"]






					def __init__(					self			,							snake_case_			,							snake_case_			,							snake_case_="replace"			,							snake_case_="<s>"			,							snake_case_="</s>"			,							snake_case_="</s>"			,							snake_case_="<s>"			,							snake_case_="<unk>"			,							snake_case_="<pad>"			,							snake_case_="<mask>"			,							snake_case_=False			,							**snake_case_			,							) ->      Optional[int]:







								'''simple docstring'''

								__lowercase			       = AddedToken(snake_case_			,							lstrip=snake_case_			,							rstrip=snake_case_    ) if isinstance(snake_case_			,							snake_case_    ) else bos_token
								__lowercase			       = AddedToken(snake_case_			,							lstrip=snake_case_			,							rstrip=snake_case_    ) if isinstance(snake_case_			,							snake_case_    ) else eos_token
								__lowercase			       = AddedToken(snake_case_			,							lstrip=snake_case_			,							rstrip=snake_case_    ) if isinstance(snake_case_			,							snake_case_    ) else sep_token
								__lowercase			       = AddedToken(snake_case_			,							lstrip=snake_case_			,							rstrip=snake_case_    ) if isinstance(snake_case_			,							snake_case_    ) else cls_token
								__lowercase			       = AddedToken(snake_case_			,							lstrip=snake_case_			,							rstrip=snake_case_    ) if isinstance(snake_case_			,							snake_case_    ) else unk_token
								__lowercase			       = 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
								__lowercase			       = 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:
											__lowercase			       = json.load(snake_case_    )
								__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(snake_case_			,							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(snake_case_			,							range(len(snake_case_    )    )    )    )
								__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
					# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
					def A   (					self    ) ->      Dict:







								'''simple docstring'''

								return len(self.encoder    )






					def A   (					self    ) ->      List[str]:







								'''simple docstring'''

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






					def A   (					self			,							snake_case_    ) ->      List[str]:







								'''simple docstring'''

								if token in self.cache:
											return self.cache[token]
								__lowercase			       = tuple(snake_case_    )
								__lowercase			       = get_pairs(snake_case_    )

								if not pairs:
											return token

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






					def A   (					self			,							snake_case_    ) ->      int:







								'''simple docstring'''

								__lowercase			       = []
								for token in re.findall(self.pat			,							snake_case_    ):
											__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(snake_case_    ).split(''' '''    )    )
								return bpe_tokens






					def A   (					self			,							snake_case_    ) ->      Any:







								'''simple docstring'''

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






					def A   (					self			,							snake_case_    ) ->      Union[str, Any]:







								'''simple docstring'''

								return self.decoder.get(snake_case_    )






					def A   (					self			,							snake_case_    ) ->      Dict:







								'''simple docstring'''

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






					def A   (					self			,							snake_case_			,							snake_case_ = None    ) ->      Tuple[str]:







								'''simple docstring'''

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

								__lowercase			       = 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 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!'''    )
																	__lowercase			       = token_index
														writer.write(''' '''.join(snake_case_    ) + '''\n'''    )
														index += 1

								return vocab_file, merge_file






					def A   (					self			,							snake_case_			,							snake_case_ = 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			,							snake_case_			,							snake_case_ = None			,							snake_case_ = False    ) ->      List[int]:







								'''simple docstring'''

								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			,							snake_case_			,							snake_case_ = 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			,							snake_case_			,							snake_case_=False			,							**snake_case_    ) ->      int:







								'''simple docstring'''

								__lowercase			       = 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()):
											__lowercase			       = ''' ''' + text
								return (text, kwargs)






					def A   (					self			,							snake_case_			,							snake_case_ = None			,							snake_case_ = PaddingStrategy.DO_NOT_PAD			,							snake_case_ = None			,							snake_case_ = None			,							) ->      dict:







								'''simple docstring'''

								__lowercase			       = 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:
											__lowercase			       = '''attention_mask''' in self.model_input_names

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

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

								return encoded_inputs






def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







			__lowercase			       = hex_num.strip()
			if not hex_num:
						raise ValueError('''No value was passed to the function'''	)

			__lowercase			       = hex_num[0] == '''-'''
			if is_negative:
						__lowercase			       = hex_num[1:]

			try:
						__lowercase			       = int(_UpperCamelCase							,      16	)
			except ValueError:
						raise ValueError('''Invalid value was passed to the function'''	)

			__lowercase			       = ''''''
			while int_num > 0:
						__lowercase			       = str(int_num % 2	) + bin_str
						int_num >>= 1

			return int(('''-''' + bin_str) if is_negative else bin_str	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()


