




'''simple docstring'''



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


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

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

UpperCAmelCase_							:	Optional[int]	     =		{
    '''allenai/led-base-16384''': 1_6_3_8_4,
}







@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def       _UpperCamelCase			()-> List[Any]:




     '''simple docstring'''





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







def       _UpperCamelCase			(_lowerCamelCase				:  Any						)-> Dict:




     '''simple docstring'''





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







class      lowerCAmelCase (			__lowerCAmelCase):
       __lowercase	:   Any										=      VOCAB_FILES_NAMES
       __lowercase	:   Dict										=      PRETRAINED_VOCAB_FILES_MAP
       __lowercase	:   int										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __lowercase	:   Any										=      ['''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]:



            '''simple docstring'''




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

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            __snake_case            =	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	)   ->	Tuple:



            '''simple docstring'''




            return len(self.encoder	)


       def    lowerCAmelCase   ( self	)   ->	Optional[Any]:



            '''simple docstring'''




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


       def    lowerCAmelCase   ( self     ,	__SCREAMING_SNAKE_CASE	)   ->	List[str]:



            '''simple docstring'''




            if token in self.cache:
                 return self.cache[token]
            __snake_case            =	tuple(__SCREAMING_SNAKE_CASE	)
            __snake_case            =	get_pairs(__SCREAMING_SNAKE_CASE	)

            if not pairs:
                 return token

            while True:
                 __snake_case            =	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            =	bigram
                 __snake_case            =	[]
                 __snake_case            =	0
                 while i < len(__SCREAMING_SNAKE_CASE	):
                      try:
                           __snake_case            =	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            =	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(__SCREAMING_SNAKE_CASE	)
                 __snake_case            =	new_word
                 if len(__SCREAMING_SNAKE_CASE	) == 1:
                      break
                 else:
                      __snake_case            =	get_pairs(__SCREAMING_SNAKE_CASE	)
            __snake_case            =	''' '''.join(__SCREAMING_SNAKE_CASE	)
            __snake_case            =	word
            return word


       def    lowerCAmelCase   ( self     ,	__SCREAMING_SNAKE_CASE	)   ->	Any:



            '''simple docstring'''




            __snake_case            =	[]
            for token in re.findall(self.pat     ,	__SCREAMING_SNAKE_CASE	):
                 __snake_case            =	''''''.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[int]:



            '''simple docstring'''




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


       def    lowerCAmelCase   ( self     ,	__SCREAMING_SNAKE_CASE	)   ->	int:



            '''simple docstring'''




            return self.decoder.get(__SCREAMING_SNAKE_CASE	)


       def    lowerCAmelCase   ( self     ,	__SCREAMING_SNAKE_CASE	)   ->	Optional[Any]:



            '''simple docstring'''




            __snake_case            =	''''''.join(__SCREAMING_SNAKE_CASE	)
            __snake_case            =	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]:



            '''simple docstring'''




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



            '''simple docstring'''




            if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            __snake_case            =	[self.cls_token_id]
            __snake_case            =	[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]:



            '''simple docstring'''




            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]:



            '''simple docstring'''




            __snake_case            =	[self.sep_token_id]
            __snake_case            =	[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	)   ->	Optional[int]:



            '''simple docstring'''




            __snake_case            =	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            =	''' ''' + 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:



            '''simple docstring'''




            __snake_case            =	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            =	'''attention_mask''' in self.model_input_names

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

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

            return encoded_inputs












'''simple docstring'''



from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader





class      lowerCAmelCase (			__lowerCAmelCase):


       def __init__( self     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = True     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = False     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = True     ,	__SCREAMING_SNAKE_CASE = "arrow"     ,	**__SCREAMING_SNAKE_CASE     ,	)   ->	Union[str, Any]:



            '''simple docstring'''




            super().__init__(
                split=__SCREAMING_SNAKE_CASE     ,	features=__SCREAMING_SNAKE_CASE     ,	cache_dir=__SCREAMING_SNAKE_CASE     ,	keep_in_memory=__SCREAMING_SNAKE_CASE     ,	streaming=__SCREAMING_SNAKE_CASE     ,	**__SCREAMING_SNAKE_CASE     ,	)
            __snake_case            =	load_from_cache_file
            __snake_case            =	file_format
            __snake_case            =	Spark(
                df=__SCREAMING_SNAKE_CASE     ,	features=__SCREAMING_SNAKE_CASE     ,	cache_dir=__SCREAMING_SNAKE_CASE     ,	working_dir=__SCREAMING_SNAKE_CASE     ,	**__SCREAMING_SNAKE_CASE     ,	)




       def    lowerCAmelCase   ( self	)   ->	str:



            '''simple docstring'''




            if self.streaming:
                 return self.builder.as_streaming_dataset(split=self.split	)
            __snake_case            =	None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
            self.builder.download_and_prepare(
                download_mode=__SCREAMING_SNAKE_CASE     ,	file_format=self._file_format     ,	)
            return self.builder.as_dataset(split=self.split	)






