



'''simple docstring'''
import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							lowercase__     (							lowercase						, unittest.TestCase       ):
	lowercase__      =      LongformerTokenizer
	lowercase__      =      True
	lowercase__      =      LongformerTokenizerFast
	lowercase__      =      True





	def      UpperCamelCase_  (			self :    List[str]			):







							'''simple docstring'''
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							_UpperCamelCase :		Tuple			    =       [
							    'l',
							    'o',
							    'w',
							    'e',
							    'r',
							    's',
							    't',
							    'i',
							    'd',
							    'n',
							    '\u0120',
							    '\u0120l',
							    '\u0120n',
							    '\u0120lo',
							    '\u0120low',
							    'er',
							    '\u0120lowest',
							    '\u0120newer',
							    '\u0120wider',
							    '<unk>',
							]
							_UpperCamelCase :		List[Any]			    =       dict(zip(lowerCamelCase__			,range(len(lowerCamelCase__			)			)			)			)
							_UpperCamelCase :		str			    =       ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
							_UpperCamelCase :		List[Any]			    =       {'unk_token': '<unk>'}

							_UpperCamelCase :		Union[str, Any]			    =       os.path.join(self.tmpdirname			,VOCAB_FILES_NAMES['vocab_file']			)
							_UpperCamelCase :		List[Any]			    =       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      UpperCamelCase_  (			self :    Optional[int]			,**lowerCamelCase__ :    Tuple			):







							'''simple docstring'''
							kwargs.update(self.special_tokens_map			)
							return self.tokenizer_class.from_pretrained(self.tmpdirname			,**lowerCamelCase__			)





	def      UpperCamelCase_  (			self :    Dict			,**lowerCamelCase__ :    int			):







							'''simple docstring'''
							kwargs.update(self.special_tokens_map			)
							return self.rust_tokenizer_class.from_pretrained(self.tmpdirname			,**lowerCamelCase__			)





	def      UpperCamelCase_  (			self :    Optional[Any]			,lowerCamelCase__ :    Dict			):







							'''simple docstring'''
							_UpperCamelCase :		Any			    =       'lower newer'
							_UpperCamelCase :		Any			    =       'lower newer'
							return input_text, output_text





	def      UpperCamelCase_  (			self :    Dict			):







							'''simple docstring'''
							_UpperCamelCase :		Optional[int]			    =       self.tokenizer_class(self.vocab_file			,self.merges_file			,**self.special_tokens_map			)
							_UpperCamelCase :		Dict			    =       'lower newer'
							_UpperCamelCase :		str			    =       ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
							_UpperCamelCase :		int			    =       tokenizer.tokenize(lowerCamelCase__			)  # , add_prefix_space=True)
							self.assertListEqual(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		List[str]			    =       tokens + [tokenizer.unk_token]
							_UpperCamelCase :		Union[str, Any]			    =       [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__			)			,lowerCamelCase__			)





	def      UpperCamelCase_  (			self :    Optional[int]			):







							'''simple docstring'''
							_UpperCamelCase :		Optional[int]			    =       self.get_tokenizer()

							self.assertListEqual(tokenizer.encode('Hello world!'			,add_special_tokens=lowerCamelCase__			)			,[0, 31414, 232, 328, 2]			)
							self.assertListEqual(
							    tokenizer.encode('Hello world! cécé herlolip 418'			,add_special_tokens=lowerCamelCase__			)			,[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]			,)





	@slow
	def      UpperCamelCase_  (			self :    str			):







							'''simple docstring'''
							_UpperCamelCase :		List[Any]			    =       self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'			)

							_UpperCamelCase :		Dict			    =       tokenizer.encode('sequence builders'			,add_special_tokens=lowerCamelCase__			)
							_UpperCamelCase :		int			    =       tokenizer.encode('multi-sequence build'			,add_special_tokens=lowerCamelCase__			)

							_UpperCamelCase :		Dict			    =       tokenizer.encode(
							    'sequence builders'			,add_special_tokens=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			)
							_UpperCamelCase :		Dict			    =       tokenizer.encode(
							    'sequence builders'			,'multi-sequence build'			,add_special_tokens=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			)

							_UpperCamelCase :		int			    =       tokenizer.build_inputs_with_special_tokens(lowerCamelCase__			)
							_UpperCamelCase :		Any			    =       tokenizer.build_inputs_with_special_tokens(lowerCamelCase__			,lowerCamelCase__			)

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode





	def      UpperCamelCase_  (			self :    Optional[Any]			):







							'''simple docstring'''
							_UpperCamelCase :		int			    =       self.get_tokenizer()

							_UpperCamelCase :		Optional[int]			    =       'Encode this sequence.'
							_UpperCamelCase :		Optional[int]			    =       tokenizer.byte_encoder[' '.encode('utf-8'			)[0]]

							# Testing encoder arguments
							_UpperCamelCase :		Union[str, Any]			    =       tokenizer.encode(lowerCamelCase__			,add_special_tokens=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			)
							_UpperCamelCase :		str			    =       tokenizer.convert_ids_to_tokens(encoded[0]			)[0]
							self.assertNotEqual(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		List[Any]			    =       tokenizer.encode(lowerCamelCase__			,add_special_tokens=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			)
							_UpperCamelCase :		Any			    =       tokenizer.convert_ids_to_tokens(encoded[0]			)[0]
							self.assertEqual(lowerCamelCase__			,lowerCamelCase__			)

							tokenizer.add_special_tokens({'bos_token': '<s>'}			)
							_UpperCamelCase :		Optional[int]			    =       tokenizer.encode(lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
							_UpperCamelCase :		Optional[Any]			    =       tokenizer.convert_ids_to_tokens(encoded[1]			)[0]
							self.assertNotEqual(lowerCamelCase__			,lowerCamelCase__			)

							# Testing spaces after special tokens
							_UpperCamelCase :		Optional[int]			    =       '<mask>'
							tokenizer.add_special_tokens(
							    {'mask_token': AddedToken(lowerCamelCase__			,lstrip=lowerCamelCase__			,rstrip=lowerCamelCase__			)}			)  # mask token has a left space
							_UpperCamelCase :		Tuple			    =       tokenizer.convert_tokens_to_ids(lowerCamelCase__			)

							_UpperCamelCase :		int			    =       'Encode <mask> sequence'
							_UpperCamelCase :		str			    =       'Encode <mask>sequence'

							_UpperCamelCase :		List[Any]			    =       tokenizer.encode(lowerCamelCase__			)
							_UpperCamelCase :		Optional[Any]			    =       encoded.index(lowerCamelCase__			)
							_UpperCamelCase :		Tuple			    =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]			)[0]
							self.assertEqual(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		Optional[Any]			    =       tokenizer.encode(lowerCamelCase__			)
							_UpperCamelCase :		Dict			    =       encoded.index(lowerCamelCase__			)
							_UpperCamelCase :		Dict			    =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]			)[0]
							self.assertNotEqual(lowerCamelCase__			,lowerCamelCase__			)





	def      UpperCamelCase_  (			self :    Any			):







							'''simple docstring'''
							pass





	def      UpperCamelCase_  (			self :    Optional[Any]			):







							'''simple docstring'''
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'			):
																			_UpperCamelCase :		Optional[Any]			    =       self.rust_tokenizer_class.from_pretrained(lowerCamelCase__			,**lowerCamelCase__			)
																			_UpperCamelCase :		Union[str, Any]			    =       self.tokenizer_class.from_pretrained(lowerCamelCase__			,**lowerCamelCase__			)
																			_UpperCamelCase :		List[str]			    =       'A, <mask> AllenNLP sentence.'
																			_UpperCamelCase :		int			    =       tokenizer_r.encode_plus(lowerCamelCase__			,add_special_tokens=lowerCamelCase__			,return_token_type_ids=lowerCamelCase__			)
																			_UpperCamelCase :		Optional[Any]			    =       tokenizer_p.encode_plus(lowerCamelCase__			,add_special_tokens=lowerCamelCase__			,return_token_type_ids=lowerCamelCase__			)

																			# token_type_ids should put 0 everywhere
																			self.assertEqual(sum(tokens_r['token_type_ids']			)			,sum(tokens_p['token_type_ids']			)			)

																			# attention_mask should put 1 everywhere, so sum over length should be 1
																			self.assertEqual(
																			    sum(tokens_r['attention_mask']			) / len(tokens_r['attention_mask']			)			,sum(tokens_p['attention_mask']			) / len(tokens_p['attention_mask']			)			,)

																			_UpperCamelCase :		Optional[Any]			    =       tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']			)
																			_UpperCamelCase :		List[str]			    =       tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']			)

																			# Rust correctly handles the space before the mask while python doesnt
																			self.assertSequenceEqual(tokens_p['input_ids']			,[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]			)
																			self.assertSequenceEqual(tokens_r['input_ids']			,[0, 250, 6, 50264, 3823, 487, 21992, 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>']			)





	def      UpperCamelCase_  (			self :    Optional[int]			):







							'''simple docstring'''
							for trim_offsets, add_prefix_space in itertools.product([True, False]			,repeat=2			):
													_UpperCamelCase :		Optional[Any]			    =       self.rust_tokenizer_class.from_pretrained(
													    self.tmpdirname			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)

													_UpperCamelCase :		Tuple			    =       json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()			)
													_UpperCamelCase :		Optional[int]			    =       json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()			)

													self.assertEqual(pre_tokenizer_state['add_prefix_space']			,lowerCamelCase__			)

													self.assertEqual(post_processor_state['add_prefix_space']			,lowerCamelCase__			)
													self.assertEqual(post_processor_state['trim_offsets']			,lowerCamelCase__			)





	def      UpperCamelCase_  (			self :    Any			):







							'''simple docstring'''
							# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
							# `trim_offsets`
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'			):
																			_UpperCamelCase :		Optional[int]			    =       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																			_UpperCamelCase :		List[Any]			    =       F'{text_of_1_token} {text_of_1_token}'

																			_UpperCamelCase :		List[str]			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		Optional[Any]			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(0, len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(len(lowerCamelCase__			) + 1, len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)

																			_UpperCamelCase :		Any			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		Dict			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(0, len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(len(lowerCamelCase__			) + 1, len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)

																			_UpperCamelCase :		Optional[Any]			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		Optional[Any]			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(0, len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(len(lowerCamelCase__			), len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)

																			_UpperCamelCase :		Tuple			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		List[Any]			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(0, len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(len(lowerCamelCase__			), len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)

																			_UpperCamelCase :		List[Any]			    =       F' {text}'

																			# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																			#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																			# )
																			# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																			# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																			# self.assertEqual(
																			#     encoding.offset_mapping[1],
																			#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																			# )

																			_UpperCamelCase :		Dict			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		Tuple			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(1, 1 + len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(1 + len(lowerCamelCase__			) + 1, 1 + len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)

																			_UpperCamelCase :		str			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		Dict			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(0, 1 + len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(1 + len(lowerCamelCase__			), 1 + len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)

																			_UpperCamelCase :		List[Any]			    =       self.rust_tokenizer_class.from_pretrained(
																			    lowerCamelCase__			,use_fast=lowerCamelCase__			,add_prefix_space=lowerCamelCase__			,trim_offsets=lowerCamelCase__			)
																			_UpperCamelCase :		Dict			    =       tokenizer_r(lowerCamelCase__			,return_offsets_mapping=lowerCamelCase__			,add_special_tokens=lowerCamelCase__			)
																			self.assertEqual(encoding.offset_mapping[0]			,(0, 1 + len(lowerCamelCase__			))			)
																			self.assertEqual(
																			    encoding.offset_mapping[1]			,(1 + len(lowerCamelCase__			), 1 + len(lowerCamelCase__			) + 1 + len(lowerCamelCase__			))			,)







'''simple docstring'''
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


snake_case_			:     List[Any]  	=  logging.get_logger(__name__)


snake_case_			:     str  	=  {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all BART models at https://huggingface.co/models?filter=bart
snake_case_			:     Union[str, Any]  	=  {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

snake_case_			:     Any  	=  {
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}






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






def A__   (					UpperCAmelCase_							):
						_UpperCamelCase :		Tuple			    =       set()
						_UpperCamelCase :		Dict			    =       word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)							)
												_UpperCamelCase :		Any			    =       char
						return pairs






class 							lowercase__     (							lowercase       ):
	lowercase__      =      VOCAB_FILES_NAMES
	lowercase__      =      PRETRAINED_VOCAB_FILES_MAP
	lowercase__      =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowercase__      =      ["""input_ids""", """attention_mask"""]





	def __init__(			self :    Optional[int]			,lowerCamelCase__ :    Tuple			,lowerCamelCase__ :    List[str]			,lowerCamelCase__ :    Optional[Any]="replace"			,lowerCamelCase__ :    str="<s>"			,lowerCamelCase__ :    str="</s>"			,lowerCamelCase__ :    str="</s>"			,lowerCamelCase__ :    Any="<s>"			,lowerCamelCase__ :    Tuple="<unk>"			,lowerCamelCase__ :    List[str]="<pad>"			,lowerCamelCase__ :    Optional[Any]="<mask>"			,lowerCamelCase__ :    Tuple=False			,**lowerCamelCase__ :    List[str]			,):







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

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							_UpperCamelCase :		Any			    =       re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)





	@property
	def      UpperCamelCase_  (			self :    Union[str, Any]			):







							'''simple docstring'''
							return len(self.encoder			)





	def      UpperCamelCase_  (			self :    str			):







							'''simple docstring'''
							return dict(self.encoder			,**self.added_tokens_encoder			)





	def      UpperCamelCase_  (			self :    str			,lowerCamelCase__ :    Any			):







							'''simple docstring'''
							if token in self.cache:
													return self.cache[token]
							_UpperCamelCase :		Dict			    =       tuple(lowerCamelCase__			)
							_UpperCamelCase :		List[str]			    =       get_pairs(lowerCamelCase__			)

							if not pairs:
													return token

							while True:
													_UpperCamelCase :		List[str]			    =       min(lowerCamelCase__			,key=lambda lowerCamelCase__			: self.bpe_ranks.get(lowerCamelCase__			,float('inf'			)			)			)
													if bigram not in self.bpe_ranks:
																			break
													_UpperCamelCase    ,      _UpperCamelCase :		int			    =       bigram
													_UpperCamelCase :		Optional[int]			    =       []
													_UpperCamelCase :		Dict			    =       0
													while i < len(lowerCamelCase__			):
																			try:
																									_UpperCamelCase :		int			    =       word.index(lowerCamelCase__			,lowerCamelCase__			)
																			except ValueError:
																									new_word.extend(word[i:]			)
																									break
																			else:
																									new_word.extend(word[i:j]			)
																									_UpperCamelCase :		Dict			    =       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
													_UpperCamelCase :		int			    =       tuple(lowerCamelCase__			)
													_UpperCamelCase :		Union[str, Any]			    =       new_word
													if len(lowerCamelCase__			) == 1:
																			break
													else:
																			_UpperCamelCase :		Any			    =       get_pairs(lowerCamelCase__			)
							_UpperCamelCase :		int			    =       ' '.join(lowerCamelCase__			)
							_UpperCamelCase :		List[Any]			    =       word
							return word





	def      UpperCamelCase_  (			self :    List[str]			,lowerCamelCase__ :    Optional[Any]			):







							'''simple docstring'''
							_UpperCamelCase :		int			    =       []
							for token in re.findall(self.pat			,lowerCamelCase__			):
													_UpperCamelCase :		int			    =       ''.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      UpperCamelCase_  (			self :    List[Any]			,lowerCamelCase__ :    List[Any]			):







							'''simple docstring'''
							return self.encoder.get(lowerCamelCase__			,self.encoder.get(self.unk_token			)			)





	def      UpperCamelCase_  (			self :    Optional[Any]			,lowerCamelCase__ :    int			):







							'''simple docstring'''
							return self.decoder.get(lowerCamelCase__			)





	def      UpperCamelCase_  (			self :    List[Any]			,lowerCamelCase__ :    Any			):







							'''simple docstring'''
							_UpperCamelCase :		Dict			    =       ''.join(lowerCamelCase__			)
							_UpperCamelCase :		Dict			    =       bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'			,errors=self.errors			)
							return text





	def      UpperCamelCase_  (			self :    Optional[Any]			,lowerCamelCase__ :    str			,lowerCamelCase__ :    Optional[str] = None			):







							'''simple docstring'''
							if not os.path.isdir(lowerCamelCase__			):
													logger.error(F'Vocabulary path ({save_directory}) should be a directory'			)
													return
							_UpperCamelCase :		List[Any]			    =       os.path.join(
							    lowerCamelCase__			,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
							_UpperCamelCase :		Union[str, Any]			    =       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'			)

							_UpperCamelCase :		Optional[Any]			    =       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!'			)
																									_UpperCamelCase :		int			    =       token_index
																			writer.write(' '.join(lowerCamelCase__			) + '\n'			)
																			index += 1

							return vocab_file, merge_file





	def      UpperCamelCase_  (			self :    Any			,lowerCamelCase__ :    List[int]			,lowerCamelCase__ :    Optional[List[int]] = None			):







							'''simple docstring'''
							if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							_UpperCamelCase :		Optional[Any]			    =       [self.cls_token_id]
							_UpperCamelCase :		str			    =       [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep





	def      UpperCamelCase_  (			self :    List[str]			,lowerCamelCase__ :    List[int]			,lowerCamelCase__ :    Optional[List[int]] = None			,lowerCamelCase__ :    bool = False			):







							'''simple docstring'''
							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      UpperCamelCase_  (			self :    Tuple			,lowerCamelCase__ :    List[int]			,lowerCamelCase__ :    Optional[List[int]] = None			):







							'''simple docstring'''
							_UpperCamelCase :		Tuple			    =       [self.sep_token_id]
							_UpperCamelCase :		Dict			    =       [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      UpperCamelCase_  (			self :    Any			,lowerCamelCase__ :    List[str]			,lowerCamelCase__ :    Tuple=False			,**lowerCamelCase__ :    Optional[int]			):







							'''simple docstring'''
							_UpperCamelCase :		Tuple			    =       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()):
													_UpperCamelCase :		List[str]			    =       ' ' + text
							return (text, kwargs)


