

"""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					:     int				 =		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					:     List[str]				 =		{
    '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					:     Union[str, Any]				 =		{
    'allenai/led-base-16384': 1_63_84,
}





@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 	lowercase__		(    ):
	__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 	lowercase__		(    snake_case_					:Optional[Any]  ):
	__UpperCAmelCase							=      set()
	__UpperCAmelCase							=      word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)  )
		__UpperCAmelCase							=      char
	return pairs




class 			_UpperCAmelCase					(				lowerCamelCase__    ):
	a__						:      int						       = VOCAB_FILES_NAMES
	a__						:      Optional[int]						       = PRETRAINED_VOCAB_FILES_MAP
	a__						:      Union[str, Any]						       = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a__						:      Union[str, Any]						       = ['input_ids', 'attention_mask']



	def __init__(   self			:    Dict       ,  _lowercase			:    Tuple       ,  _lowercase			:    Dict       ,  _lowercase			:    Union[str, Any]="replace"       ,  _lowercase			:    Any="<s>"       ,  _lowercase			:    Dict="</s>"       ,  _lowercase			:    Union[str, Any]="</s>"       ,  _lowercase			:    Dict="<s>"       ,  _lowercase			:    Dict="<unk>"       ,  _lowercase			:    Union[str, Any]="<pad>"       ,  _lowercase			:    Tuple="<mask>"       ,  _lowercase			:    List[str]=False       ,  **_lowercase			:    List[Any]       ,  ):
		__UpperCAmelCase							=      AddedToken(lowercase__       ,  lstrip=lowercase__       ,  rstrip=lowercase__		) if isinstance(lowercase__       ,  lowercase__		) else bos_token
		__UpperCAmelCase							=      AddedToken(lowercase__       ,  lstrip=lowercase__       ,  rstrip=lowercase__		) if isinstance(lowercase__       ,  lowercase__		) else eos_token
		__UpperCAmelCase							=      AddedToken(lowercase__       ,  lstrip=lowercase__       ,  rstrip=lowercase__		) if isinstance(lowercase__       ,  lowercase__		) else sep_token
		__UpperCAmelCase							=      AddedToken(lowercase__       ,  lstrip=lowercase__       ,  rstrip=lowercase__		) if isinstance(lowercase__       ,  lowercase__		) else cls_token
		__UpperCAmelCase							=      AddedToken(lowercase__       ,  lstrip=lowercase__       ,  rstrip=lowercase__		) if isinstance(lowercase__       ,  lowercase__		) else unk_token
		__UpperCAmelCase							=      AddedToken(lowercase__       ,  lstrip=lowercase__       ,  rstrip=lowercase__		) if isinstance(lowercase__       ,  lowercase__		) else pad_token

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

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

		with open(lowercase__       ,  encoding='''utf-8'''		) as vocab_handle:
			__UpperCAmelCase							=      json.load(lowercase__		)
		__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(lowercase__       ,  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(lowercase__       ,  range(len(lowercase__		)		)		)		)
		__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			:    Union[str, Any]		):
		return len(self.encoder		)



	def     a   (   self			:    List[str]		):
		return dict(self.encoder       ,  **self.added_tokens_encoder		)



	def     a   (   self			:    Optional[Any]       ,  _lowercase			:    Optional[Any]		):
		if token in self.cache:
			return self.cache[token]
		__UpperCAmelCase							=      tuple(lowercase__		)
		__UpperCAmelCase							=      get_pairs(lowercase__		)

		if not pairs:
			return token

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

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



	def     a   (   self			:    List[Any]       ,  _lowercase			:    List[Any]		):
		__UpperCAmelCase							=      []
		for token in re.findall(self.pat       ,  lowercase__		):
			__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(lowercase__		).split(''' '''		)		)
		return bpe_tokens



	def     a   (   self			:    str       ,  _lowercase			:    Tuple		):
		return self.encoder.get(lowercase__       ,  self.encoder.get(self.unk_token		)		)



	def     a   (   self			:    Union[str, Any]       ,  _lowercase			:    Any		):
		return self.decoder.get(lowercase__		)



	def     a   (   self			:    Optional[int]       ,  _lowercase			:    Optional[Any]		):
		__UpperCAmelCase							=      ''''''.join(lowercase__		)
		__UpperCAmelCase							=      bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''       ,  errors=self.errors		)
		return text



	def     a   (   self			:    List[Any]       ,  _lowercase			:    str       ,  _lowercase			:    Optional[str] = None		):
		if not os.path.isdir(lowercase__		):
			logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
			return
		__UpperCAmelCase							=      os.path.join(
		    lowercase__       ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
		__UpperCAmelCase							=      os.path.join(
		    lowercase__       ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

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

		__UpperCAmelCase							=      0
		with open(lowercase__       ,  '''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 _lowercase		: 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(lowercase__		) + '''\n'''		)
				index += 1

		return vocab_file, merge_file



	def     a   (   self			:    Any       ,  _lowercase			:    List[int]       ,  _lowercase			:    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			:    Union[str, Any]       ,  _lowercase			:    List[int]       ,  _lowercase			:    Optional[List[int]] = None       ,  _lowercase			:    bool = False		):
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=lowercase__       ,  token_ids_a=lowercase__       ,  already_has_special_tokens=lowercase__		)

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



	def     a   (   self			:    Union[str, Any]       ,  _lowercase			:    List[int]       ,  _lowercase			:    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			:    int       ,  _lowercase			:    Optional[int]       ,  _lowercase			:    Optional[Any]=False       ,  **_lowercase			:    Optional[int]		):
		__UpperCAmelCase							=      kwargs.pop('''add_prefix_space'''       ,  self.add_prefix_space		)
		if (is_split_into_words or add_prefix_space) and (len(lowercase__		) > 0 and not text[0].isspace()):
			__UpperCAmelCase							=      ''' ''' + text
		return (text, kwargs)



	def     a   (   self			:    Any       ,  _lowercase			:    Union[Dict[str, EncodedInput], BatchEncoding]       ,  _lowercase			:    Optional[int] = None       ,  _lowercase			:    PaddingStrategy = PaddingStrategy.DO_NOT_PAD       ,  _lowercase			:    Optional[int] = None       ,  _lowercase			:    Optional[bool] = None       ,  ):
		__UpperCAmelCase							=      super()._pad(
		    encoded_inputs=lowercase__       ,  max_length=lowercase__       ,  padding_strategy=lowercase__       ,  pad_to_multiple_of=lowercase__       ,  return_attention_mask=lowercase__       ,  )

		# 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(lowercase__		)

			if needs_to_be_padded:
				__UpperCAmelCase							=      len(lowercase__		) - 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'''






import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline


@pytest.mark.integration
def 		_A     (    ):






 """simple docstring"""



 with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT      ):
  with pytest.raises(A__      ):
   requests.request('''GET'''     ,				'''https://huggingface.co'''      )
  with pytest.raises(requests.exceptions.ConnectTimeout      ):
   requests.request('''GET'''     ,				'''https://huggingface.co'''     ,				timeout=1.0      )


@pytest.mark.integration
def 		_A     (    ):






 """simple docstring"""



 with offline(OfflineSimulationMode.CONNECTION_FAILS      ):
  with pytest.raises(requests.exceptions.ConnectionError      ):
   requests.request('''GET'''     ,				'''https://huggingface.co'''      )






def 		_A     (    ):






 """simple docstring"""



 with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1      ):
  with pytest.raises(A__      ):
   http_head('''https://huggingface.co'''      )

