
'''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


_lowercase			:  Dict   							=	logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_lowercase			:  Optional[int]   							=	{
    "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			:  Dict   							=	{
    "allenai/led-base-16384": 1_6_3_8_4,
}
@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def  snake_case_		(    ):



						"""simple docstring"""





						lowercase_     :					Tuple													=	(
						    list(range(ord('''!'''							)				,				ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)				,				ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)				,				ord('''ÿ'''							) + 1							)							)
						)
						lowercase_     :					Any													=	bs[:]
						lowercase_     :					Union[str, Any]													=	0
						for b in range(2**8							):
												if b not in bs:
																		bs.append(__SCREAMING_SNAKE_CASE							)
																		cs.append(2**8 + n							)
																		n += 1
						lowercase_     :					Tuple													=	[chr(__SCREAMING_SNAKE_CASE							) for n in cs]
						return dict(zip(__SCREAMING_SNAKE_CASE				,				__SCREAMING_SNAKE_CASE							)							)
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			Union[str, Any]							):



						"""simple docstring"""





						lowercase_     :					List[str]													=	set()
						lowercase_     :					str													=	word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)							)
												lowercase_     :					int													=	char
						return pairs






class 			lowerCAmelCase__       (  lowerCamelCase_					):
					lowerCAmelCase_					       =					VOCAB_FILES_NAMES
					lowerCAmelCase_					       =					PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_					       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_					       =					['''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    ,							):


											"""simple docstring"""





											lowercase_     :					List[Any]													=	AddedToken(__SCREAMING_SNAKE_CASE    ,							lstrip=__SCREAMING_SNAKE_CASE    ,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) else bos_token
											lowercase_     :					Optional[Any]													=	AddedToken(__SCREAMING_SNAKE_CASE    ,							lstrip=__SCREAMING_SNAKE_CASE    ,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) else eos_token
											lowercase_     :					List[str]													=	AddedToken(__SCREAMING_SNAKE_CASE    ,							lstrip=__SCREAMING_SNAKE_CASE    ,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) else sep_token
											lowercase_     :					List[Any]													=	AddedToken(__SCREAMING_SNAKE_CASE    ,							lstrip=__SCREAMING_SNAKE_CASE    ,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) else cls_token
											lowercase_     :					List[Any]													=	AddedToken(__SCREAMING_SNAKE_CASE    ,							lstrip=__SCREAMING_SNAKE_CASE    ,							rstrip=__SCREAMING_SNAKE_CASE		) if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) else unk_token
											lowercase_     :					Optional[int]													=	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
											lowercase_     :					Union[str, Any]													=	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:
																	lowercase_     :					str													=	json.load(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[int]													=	{v: k for k, v in self.encoder.items()}
											lowercase_     :					Any													=	errors  # how to handle errors in decoding
											lowercase_     :					Any													=	bytes_to_unicode()
											lowercase_     :					Dict													=	{v: k for k, v in self.byte_encoder.items()}
											with open(__SCREAMING_SNAKE_CASE    ,							encoding='''utf-8'''		) as merges_handle:
																	lowercase_     :					int													=	merges_handle.read().split('''\n'''		)[1:-1]
											lowercase_     :					Dict													=	[tuple(merge.split()		) for merge in bpe_merges]
											lowercase_     :					Tuple													=	dict(zip(__SCREAMING_SNAKE_CASE    ,							range(len(__SCREAMING_SNAKE_CASE		)		)		)		)
											lowercase_     :					Optional[Any]													=	{}
											lowercase_     :					str													=	add_prefix_space

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											lowercase_     :					Union[str, Any]													=	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      _snake_case   (       self		):


											"""simple docstring"""





											return len(self.encoder		)






					def      _snake_case   (       self		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if token in self.cache:
																	return self.cache[token]
											lowercase_     :					Optional[Any]													=	tuple(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Union[str, Any]													=	get_pairs(__SCREAMING_SNAKE_CASE		)

											if not pairs:
																	return token

											while True:
																	lowercase_     :					Optional[int]													=	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
																	lowercase_						,			lowercase_     :					Union[str, Any]													=	bigram
																	lowercase_     :					List[str]													=	[]
																	lowercase_     :					Optional[Any]													=	0
																	while i < len(__SCREAMING_SNAKE_CASE		):
																							try:
																													lowercase_     :					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]		)
																													lowercase_     :					List[Any]													=	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
																	lowercase_     :					List[str]													=	tuple(__SCREAMING_SNAKE_CASE		)
																	lowercase_     :					List[str]													=	new_word
																	if len(__SCREAMING_SNAKE_CASE		) == 1:
																							break
																	else:
																							lowercase_     :					List[Any]													=	get_pairs(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					List[Any]													=	''' '''.join(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					str													=	word
											return word






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											return self.decoder.get(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Tuple													=	''''''.join(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[int]													=	bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''    ,							errors=self.errors		)
											return text






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





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

											lowercase_     :					List[Any]													=	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!'''		)
																													lowercase_     :					List[str]													=	token_index
																							writer.write(''' '''.join(__SCREAMING_SNAKE_CASE		) + '''\n'''		)
																							index += 1

											return vocab_file, merge_file






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											lowercase_     :					Dict													=	[self.cls_token_id]
											lowercase_     :					List[Any]													=	[self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None    ,							__SCREAMING_SNAKE_CASE = False		):


											"""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      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	[self.sep_token_id]
											lowercase_     :					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      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE=False    ,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					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()):
																	lowercase_     :					Optional[int]													=	''' ''' + text
											return (text, kwargs)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE = None    ,							__SCREAMING_SNAKE_CASE = PaddingStrategy.DO_NOT_PAD    ,							__SCREAMING_SNAKE_CASE = None    ,							__SCREAMING_SNAKE_CASE = None    ,							):


											"""simple docstring"""





											lowercase_     :					Tuple													=	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:
																	lowercase_     :					Dict													=	'''attention_mask''' in self.model_input_names

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

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

											return encoded_inputs





'''simple docstring'''







import logging
import os

from .state import PartialState






class 			lowerCAmelCase__       (  logging.LoggerAdapter					):






					@staticmethod
					def      _snake_case   (       __SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					Optional[Any]													=	PartialState()
											return not main_process_only or (main_process_only and state.is_main_process)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							*__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if PartialState._shared_state == {}:
																	raise RuntimeError(
																	    '''You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'''		)
											lowercase_     :					Tuple													=	kwargs.pop('''main_process_only'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[int]													=	kwargs.pop('''in_order'''    ,							__SCREAMING_SNAKE_CASE		)

											if self.isEnabledFor(__SCREAMING_SNAKE_CASE		):
																	if self._should_log(__SCREAMING_SNAKE_CASE		):
																							lowercase_						,			lowercase_     :					Optional[Any]													=	self.process(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)
																							self.logger.log(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							*__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)

																	elif in_order:
																							lowercase_     :					Optional[Any]													=	PartialState()
																							for i in range(state.num_processes		):
																													if i == state.process_index:
																																			lowercase_						,			lowercase_     :					Optional[int]													=	self.process(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		)
																																			self.logger.log(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							*__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)
																													state.wait_for_everyone()







def  snake_case_		(    __SCREAMING_SNAKE_CASE :			str				,				__SCREAMING_SNAKE_CASE :			str = None							):



						"""simple docstring"""





						if log_level is None:
												lowercase_     :					Any													=	os.environ.get('''ACCELERATE_LOG_LEVEL'''				,				__SCREAMING_SNAKE_CASE							)
						lowercase_     :					List[str]													=	logging.getLogger(__SCREAMING_SNAKE_CASE							)
						if log_level is not None:
												logger.setLevel(log_level.upper()							)
												logger.root.setLevel(log_level.upper()							)
						return MultiProcessAdapter(__SCREAMING_SNAKE_CASE				,				{}							)



