import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase_ 							=       logging.get_logger(__name__)


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

UpperCAmelCase_ 							=       {
    """vocab_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
    },
}

UpperCAmelCase_ 							=       {
    """allenai/longformer-base-4096""": 4096,
    """allenai/longformer-large-4096""": 4096,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4096,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4096,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4096,
}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def   lowerCamelCase__       (       )     ->	Dict:



					'''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(UpperCamelCase__  )
															cs.append(2**8 + n  )
															n += 1
					_snake_case													=			[chr(UpperCamelCase__  ) for n in cs]
					return dict(zip(UpperCamelCase__    ,      UpperCamelCase__  )  )





def   lowerCamelCase__       (       UpperCamelCase__     :    str  )     ->	Any:



					'''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      UpperCamelCase_						(					_lowerCamelCase   ):
					lowerCAmelCase_							=		VOCAB_FILES_NAMES
					lowerCAmelCase_							=		PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_							=		['''input_ids''', '''attention_mask''']




					def __init__(						self			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_="replace"			,  lowerCAmelCase_="<s>"			,  lowerCAmelCase_="</s>"			,  lowerCAmelCase_="</s>"			,  lowerCAmelCase_="<s>"			,  lowerCAmelCase_="<unk>"			,  lowerCAmelCase_="<pad>"			,  lowerCAmelCase_="<mask>"			,  lowerCAmelCase_=False			,  **lowerCAmelCase_			,  )						->							Optional[int]:
										_snake_case													=			AddedToken(lowerCAmelCase_			,  lstrip=lowerCAmelCase_			,  rstrip=lowerCAmelCase_					) if isinstance(lowerCAmelCase_			,  lowerCAmelCase_					) else bos_token
										_snake_case													=			AddedToken(lowerCAmelCase_			,  lstrip=lowerCAmelCase_			,  rstrip=lowerCAmelCase_					) if isinstance(lowerCAmelCase_			,  lowerCAmelCase_					) else eos_token
										_snake_case													=			AddedToken(lowerCAmelCase_			,  lstrip=lowerCAmelCase_			,  rstrip=lowerCAmelCase_					) if isinstance(lowerCAmelCase_			,  lowerCAmelCase_					) else sep_token
										_snake_case													=			AddedToken(lowerCAmelCase_			,  lstrip=lowerCAmelCase_			,  rstrip=lowerCAmelCase_					) if isinstance(lowerCAmelCase_			,  lowerCAmelCase_					) else cls_token
										_snake_case													=			AddedToken(lowerCAmelCase_			,  lstrip=lowerCAmelCase_			,  rstrip=lowerCAmelCase_					) if isinstance(lowerCAmelCase_			,  lowerCAmelCase_					) else unk_token
										_snake_case													=			AddedToken(lowerCAmelCase_			,  lstrip=lowerCAmelCase_			,  rstrip=lowerCAmelCase_					) if isinstance(lowerCAmelCase_			,  lowerCAmelCase_					) else pad_token

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

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

										with open(lowerCAmelCase_			,  encoding='utf-8'					) as vocab_handle:
															_snake_case													=			json.load(lowerCAmelCase_					)
										_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(lowerCAmelCase_			,  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(lowerCAmelCase_			,  range(len(lowerCAmelCase_					)					)					)					)
										_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
					def 		lowerCAmelCase     (						self					)						->							int:
										return len(self.encoder					)




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




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							List[str]:
										if token in self.cache:
															return self.cache[token]
										_snake_case													=			tuple(lowerCAmelCase_					)
										_snake_case													=			get_pairs(lowerCAmelCase_					)

										if not pairs:
															return token

										while True:
															_snake_case													=			min(lowerCAmelCase_			,  key=lambda lowerCAmelCase_					: self.bpe_ranks.get(lowerCAmelCase_			,  float('inf'					)					)					)
															if bigram not in self.bpe_ranks:
																				break
															_snake_case							,       _snake_case													=			bigram
															_snake_case													=			[]
															_snake_case													=			0
															while i < len(lowerCAmelCase_					):
																				try:
																									_snake_case													=			word.index(lowerCAmelCase_			,  lowerCAmelCase_					)
																				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(lowerCAmelCase_					) - 1 and word[i + 1] == second:
																									new_word.append(first + second					)
																									i += 2
																				else:
																									new_word.append(word[i]					)
																									i += 1
															_snake_case													=			tuple(lowerCAmelCase_					)
															_snake_case													=			new_word
															if len(lowerCAmelCase_					) == 1:
																				break
															else:
																				_snake_case													=			get_pairs(lowerCAmelCase_					)
										_snake_case													=			' '.join(lowerCAmelCase_					)
										_snake_case													=			word
										return word




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							Tuple:
										_snake_case													=			[]
										for token in re.findall(self.pat			,  lowerCAmelCase_					):
															_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(lowerCAmelCase_					).split(' '					)					)
										return bpe_tokens




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							List[Any]:
										return self.encoder.get(lowerCAmelCase_			,  self.encoder.get(self.unk_token					)					)




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							Union[str, Any]:
										return self.decoder.get(lowerCAmelCase_					)




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							List[str]:
										_snake_case													=			''.join(lowerCAmelCase_					)
										_snake_case													=			bytearray([self.byte_decoder[c] for c in text]					).decode('utf-8'			,  errors=self.errors					)
										return text




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_ = None					)						->							Tuple[str]:
										if not os.path.isdir(lowerCAmelCase_					):
															logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
															return
										_snake_case													=			os.path.join(
										    lowerCAmelCase_			,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)
										_snake_case													=			os.path.join(
										    lowerCAmelCase_			,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']					)

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

										_snake_case													=			0
										with open(lowerCAmelCase_			,  '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 lowerCAmelCase_					: 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(lowerCAmelCase_					) + '\n'					)
																				index += 1

										return vocab_file, merge_file




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_ = None					)						->							List[int]:
										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			,  lowerCAmelCase_			,  lowerCAmelCase_ = None			,  lowerCAmelCase_ = False					)						->							List[int]:
										if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=lowerCAmelCase_			,  token_ids_a=lowerCAmelCase_			,  already_has_special_tokens=lowerCAmelCase_					)

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




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_ = None					)						->							List[int]:
										_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			,  lowerCAmelCase_			,  lowerCAmelCase_=False			,  **lowerCAmelCase_					)						->							List[Any]:
										_snake_case													=			kwargs.pop('add_prefix_space'			,  self.add_prefix_space					)
										if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase_					) > 0 and not text[0].isspace()):
															_snake_case													=			' ' + text
										return (text, kwargs)










import json
import os
import unittest

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class      UpperCamelCase_						(					_lowerCamelCase							,					unittest.TestCase   ):
					lowerCAmelCase_							=		LEDTokenizer
					lowerCAmelCase_							=		LEDTokenizerFast
					lowerCAmelCase_							=		True




					def 		lowerCAmelCase     (						self					)						->							List[str]:
										super().setUp()
										_snake_case													=			[
										    'l',
										    'o',
										    'w',
										    'e',
										    'r',
										    's',
										    't',
										    'i',
										    'd',
										    'n',
										    '\u0120',
										    '\u0120l',
										    '\u0120n',
										    '\u0120lo',
										    '\u0120low',
										    'er',
										    '\u0120lowest',
										    '\u0120newer',
										    '\u0120wider',
										    '<unk>',
										]
										_snake_case													=			dict(zip(lowerCAmelCase_			,  range(len(lowerCAmelCase_					)					)					)					)
										_snake_case													=			['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
										_snake_case													=			{'unk_token': '<unk>'}

										_snake_case													=			os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['vocab_file']					)
										_snake_case													=			os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['merges_file']					)
										with open(self.vocab_file			,  'w'			,  encoding='utf-8'					) as fp:
															fp.write(json.dumps(lowerCAmelCase_					) + '\n'					)
										with open(self.merges_file			,  'w'			,  encoding='utf-8'					) as fp:
															fp.write('\n'.join(lowerCAmelCase_					)					)




					def 		lowerCAmelCase     (						self			,  **lowerCAmelCase_					)						->							List[str]:
										kwargs.update(self.special_tokens_map					)
										return self.tokenizer_class.from_pretrained(self.tmpdirname			,  **lowerCAmelCase_					)




					def 		lowerCAmelCase     (						self			,  **lowerCAmelCase_					)						->							str:
										kwargs.update(self.special_tokens_map					)
										return self.rust_tokenizer_class.from_pretrained(self.tmpdirname			,  **lowerCAmelCase_					)




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							Union[str, Any]:
										return "lower newer", "lower newer"




					@cached_property
					def 		lowerCAmelCase     (						self					)						->							Optional[Any]:
										return LEDTokenizer.from_pretrained('allenai/led-base-16384'					)




					@cached_property
					def 		lowerCAmelCase     (						self					)						->							Union[str, Any]:
										return LEDTokenizerFast.from_pretrained('allenai/led-base-16384'					)




					@require_torch
					def 		lowerCAmelCase     (						self					)						->							Union[str, Any]:
										_snake_case													=			['A long paragraph for summarization.', 'Another paragraph for summarization.']
										_snake_case													=			[0, 250, 251, 1_7818, 13, 3_9186, 1938, 4, 2]

										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
															_snake_case													=			tokenizer(lowerCAmelCase_			,  max_length=len(lowerCAmelCase_					)			,  padding=lowerCAmelCase_			,  return_tensors='pt'					)
															self.assertIsInstance(lowerCAmelCase_			,  lowerCAmelCase_					)

															self.assertEqual((2, 9)			,  batch.input_ids.shape					)
															self.assertEqual((2, 9)			,  batch.attention_mask.shape					)
															_snake_case													=			batch.input_ids.tolist()[0]
															self.assertListEqual(lowerCAmelCase_			,  lowerCAmelCase_					)




					@require_torch
					def 		lowerCAmelCase     (						self					)						->							Optional[Any]:
										_snake_case													=			['A long paragraph for summarization.', 'Another paragraph for summarization.']
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
															_snake_case													=			tokenizer(lowerCAmelCase_			,  padding=lowerCAmelCase_			,  return_tensors='pt'					)
															self.assertIn('input_ids'			,  lowerCAmelCase_					)
															self.assertIn('attention_mask'			,  lowerCAmelCase_					)
															self.assertNotIn('labels'			,  lowerCAmelCase_					)
															self.assertNotIn('decoder_attention_mask'			,  lowerCAmelCase_					)




					@require_torch
					def 		lowerCAmelCase     (						self					)						->							Optional[int]:
										_snake_case													=			[
										    'Summary of the text.',
										    'Another summary.',
										]
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
															_snake_case													=			tokenizer(text_target=lowerCAmelCase_			,  max_length=32			,  padding='max_length'			,  return_tensors='pt'					)
															self.assertEqual(32			,  targets['input_ids'].shape[1]					)




					@require_torch
					def 		lowerCAmelCase     (						self					)						->							List[str]:
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
															_snake_case													=			tokenizer(
															    ['I am a small frog' * 1024, 'I am a small frog']			,  padding=lowerCAmelCase_			,  truncation=lowerCAmelCase_			,  return_tensors='pt'					)
															self.assertIsInstance(lowerCAmelCase_			,  lowerCAmelCase_					)
															self.assertEqual(batch.input_ids.shape			,  (2, 5122)					)




					@require_torch
					def 		lowerCAmelCase     (						self					)						->							Union[str, Any]:
										_snake_case													=			['A long paragraph for summarization.']
										_snake_case													=			[
										    'Summary of the text.',
										]
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
															_snake_case													=			tokenizer(lowerCAmelCase_			,  return_tensors='pt'					)
															_snake_case													=			tokenizer(text_target=lowerCAmelCase_			,  return_tensors='pt'					)
															_snake_case													=			inputs['input_ids']
															_snake_case													=			targets['input_ids']
															self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()					)
															self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()					)
															self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()					)
															self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()					)




					@require_torch
					def 		lowerCAmelCase     (						self					)						->							List[str]:
										for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
															_snake_case													=			['Summary of the text.', 'Another summary.']
															_snake_case													=			[[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

															_snake_case													=			tokenizer(lowerCAmelCase_			,  padding=lowerCAmelCase_					)
															_snake_case													=			[[0] * len(lowerCAmelCase_					) for x in encoded_output['input_ids']]
															_snake_case													=			tokenizer.pad(lowerCAmelCase_					)
															self.assertSequenceEqual(outputs['global_attention_mask']			,  lowerCAmelCase_					)




					def 		lowerCAmelCase     (						self					)						->							Tuple:
										pass






					def 		lowerCAmelCase     (						self					)						->							str:
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
																				_snake_case													=			self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_			,  **lowerCAmelCase_					)
																				_snake_case													=			self.tokenizer_class.from_pretrained(lowerCAmelCase_			,  **lowerCAmelCase_					)
																				_snake_case													=			'A, <mask> AllenNLP sentence.'
																				_snake_case													=			tokenizer_r.encode_plus(lowerCAmelCase_			,  add_special_tokens=lowerCAmelCase_			,  return_token_type_ids=lowerCAmelCase_					)
																				_snake_case													=			tokenizer_p.encode_plus(lowerCAmelCase_			,  add_special_tokens=lowerCAmelCase_			,  return_token_type_ids=lowerCAmelCase_					)
																				self.assertEqual(sum(tokens_r['token_type_ids']					)			,  sum(tokens_p['token_type_ids']					)					)
																				self.assertEqual(
																				    sum(tokens_r['attention_mask']					) / len(tokens_r['attention_mask']					)			,  sum(tokens_p['attention_mask']					) / len(tokens_p['attention_mask']					)			,  )

																				_snake_case													=			tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']					)
																				_snake_case													=			tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']					)
																				self.assertSequenceEqual(tokens_p['input_ids']			,  [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]					)
																				self.assertSequenceEqual(tokens_r['input_ids']			,  [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]					)

																				self.assertSequenceEqual(
																				    lowerCAmelCase_			,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']					)
																				self.assertSequenceEqual(
																				    lowerCAmelCase_			,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']					)



