
import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 						lowercase__  (						_UpperCAmelCase     ,       unittest.TestCase  ):
	A__    :   Union[str, Any]				       =RobertaTokenizer
	A__    :   List[str]				       =RobertaTokenizerFast
	A__    :   List[str]				       =True
	A__    :   List[str]				       ={"""cls_token""": """<s>"""}
	def      A_				(			self							:   Any							):
						super().setUp()

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

						SCREAMING_SNAKE_CASE__													= os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES['vocab_file']							)
						SCREAMING_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(UpperCAmelCase_							) + '\n'							)
						with open(self.merges_file       ,   'w'       ,   encoding='utf-8'							) as fp:
											fp.write('\n'.join(UpperCAmelCase_							)							)
	def      A_				(			self							:   Any       ,   **UpperCAmelCase_							:   str							):
						kwargs.update(self.special_tokens_map							)
						return self.tokenizer_class.from_pretrained(self.tmpdirname       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   Any       ,   **UpperCAmelCase_							:   Union[str, Any]							):
						kwargs.update(self.special_tokens_map							)
						return RobertaTokenizerFast.from_pretrained(self.tmpdirname       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   int       ,   UpperCAmelCase_							:   Tuple							):
						SCREAMING_SNAKE_CASE__													= 'lower newer'
						SCREAMING_SNAKE_CASE__													= 'lower newer'
						return input_text, output_text
	def      A_				(			self							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= self.tokenizer_class(self.vocab_file       ,   self.merges_file       ,   **self.special_tokens_map							)
						SCREAMING_SNAKE_CASE__													= 'lower newer'
						SCREAMING_SNAKE_CASE__													= ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize(UpperCAmelCase_							)  # , add_prefix_space=True)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokens + [tokenizer.unk_token]
						SCREAMING_SNAKE_CASE__													= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)       ,   UpperCAmelCase_							)
	def      A_				(			self							:   List[str]							):
						SCREAMING_SNAKE_CASE__													= self.get_tokenizer()

						self.assertListEqual(tokenizer.encode('Hello world!'       ,   add_special_tokens=UpperCAmelCase_							)       ,   [0, 31414, 232, 328, 2]							)
						self.assertListEqual(
						    tokenizer.encode('Hello world! cécé herlolip 418'       ,   add_special_tokens=UpperCAmelCase_							)       ,   [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]       ,   )
	@slow
	def      A_				(			self							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= self.tokenizer_class.from_pretrained('roberta-base'							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode('sequence builders'       ,   add_special_tokens=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.encode('multi-sequence build'       ,   add_special_tokens=UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(
						    'sequence builders'       ,   add_special_tokens=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.encode(
						    'sequence builders'       ,   'multi-sequence build'       ,   add_special_tokens=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_       ,   UpperCAmelCase_							)

						assert encoded_sentence == encoded_text_from_decode
						assert encoded_pair == encoded_pair_from_decode
	def      A_				(			self							:   Union[str, Any]							):
						SCREAMING_SNAKE_CASE__													= self.get_tokenizer()

						SCREAMING_SNAKE_CASE__													= 'Encode this sequence.'
						SCREAMING_SNAKE_CASE__													= tokenizer.byte_encoder[' '.encode('utf-8'							)[0]]

						# Testing encoder arguments
						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
						self.assertNotEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
						self.assertEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						tokenizer.add_special_tokens({'bos_token': '<s>'}							)
						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(encoded[1]							)[0]
						self.assertNotEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						# Testing spaces after special tokens
						SCREAMING_SNAKE_CASE__													= '<mask>'
						tokenizer.add_special_tokens(
						    {'mask_token': AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							)}							)  # mask token has a left space
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= 'Encode <mask> sequence'
						SCREAMING_SNAKE_CASE__													= 'Encode <mask>sequence'

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= encoded.index(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
						self.assertEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= encoded.index(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
						self.assertNotEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Any							):
						pass
	def      A_				(			self							:   Any							):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_       ,   **UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= self.tokenizer_class.from_pretrained(UpperCAmelCase_       ,   **UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= 'A, <mask> AllenNLP sentence.'
																SCREAMING_SNAKE_CASE__													= tokenizer_r.encode_plus(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_       ,   return_token_type_ids=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_p.encode_plus(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_       ,   return_token_type_ids=UpperCAmelCase_							)

																# 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']							)       ,   )

																SCREAMING_SNAKE_CASE__													= tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']							)
																SCREAMING_SNAKE_CASE__													= 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(
																    UpperCAmelCase_       ,   ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']							)
																self.assertSequenceEqual(
																    UpperCAmelCase_       ,   ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']							)
	def      A_				(			self							:   int							):
						for trim_offsets, add_prefix_space in itertools.product([True, False]       ,   repeat=2							):
											SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
											    self.tmpdirname       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)

											SCREAMING_SNAKE_CASE__													= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()							)
											SCREAMING_SNAKE_CASE__													= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()							)

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

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





	def      A_				(			self							:   List[str]							):
						# 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})'							):
																SCREAMING_SNAKE_CASE__													= 'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
																SCREAMING_SNAKE_CASE__													= F'{text_of_1_token} {text_of_1_token}'

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (len(UpperCAmelCase_							) + 1, len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (len(UpperCAmelCase_							) + 1, len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (len(UpperCAmelCase_							), len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (len(UpperCAmelCase_							), len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )

																SCREAMING_SNAKE_CASE__													= 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)),
																# )

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (1, 1 + len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (1 + len(UpperCAmelCase_							) + 1, 1 + len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (0, 1 + len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (1 + len(UpperCAmelCase_							), 1 + len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )

																SCREAMING_SNAKE_CASE__													= self.rust_tokenizer_class.from_pretrained(
																    UpperCAmelCase_       ,   use_fast=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= tokenizer_r(UpperCAmelCase_       ,   return_offsets_mapping=UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
																self.assertEqual(encoding.offset_mapping[0]       ,   (0, 1 + len(UpperCAmelCase_							))							)
																self.assertEqual(
																    encoding.offset_mapping[1]       ,   (1 + len(UpperCAmelCase_							), 1 + len(UpperCAmelCase_							) + 1 + len(UpperCAmelCase_							))       ,   )







import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


__snake_case								=  logging.get_logger(__name__)


__snake_case								=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all BART models at https://huggingface.co/models?filter=bart
__snake_case								=  {
    """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""",
    },
    """tokenizer_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json""",
    },
}

__snake_case								=  {
    """facebook/bart-base""": 10_24,
    """facebook/bart-large""": 10_24,
    """facebook/bart-large-mnli""": 10_24,
    """facebook/bart-large-cnn""": 10_24,
    """facebook/bart-large-xsum""": 10_24,
    """yjernite/bart_eli5""": 10_24,
}




class 						lowercase__  (						_UpperCAmelCase  ):
	A__    :   Tuple				       =VOCAB_FILES_NAMES
	A__    :   Any				       =PRETRAINED_VOCAB_FILES_MAP
	A__    :   str				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A__    :   Tuple				       =["""input_ids""", """attention_mask"""]
	A__    :   Optional[int]				       =BartTokenizer
	def __init__(			self							:   str       ,   UpperCAmelCase_							:   Optional[Any]=None       ,   UpperCAmelCase_							:   int=None       ,   UpperCAmelCase_							:   str=None       ,   UpperCAmelCase_							:   Optional[Any]="replace"       ,   UpperCAmelCase_							:   int="<s>"       ,   UpperCAmelCase_							:   List[Any]="</s>"       ,   UpperCAmelCase_							:   int="</s>"       ,   UpperCAmelCase_							:   Tuple="<s>"       ,   UpperCAmelCase_							:   Any="<unk>"       ,   UpperCAmelCase_							:   Any="<pad>"       ,   UpperCAmelCase_							:   Optional[Any]="<mask>"       ,   UpperCAmelCase_							:   Optional[int]=False       ,   UpperCAmelCase_							:   List[str]=True       ,   **UpperCAmelCase_							:   List[Any]       ,   ):
						super().__init__(
						    UpperCAmelCase_       ,   UpperCAmelCase_       ,   tokenizer_file=UpperCAmelCase_       ,   errors=UpperCAmelCase_       ,   bos_token=UpperCAmelCase_       ,   eos_token=UpperCAmelCase_       ,   sep_token=UpperCAmelCase_       ,   cls_token=UpperCAmelCase_       ,   unk_token=UpperCAmelCase_       ,   pad_token=UpperCAmelCase_       ,   mask_token=UpperCAmelCase_       ,   add_prefix_space=UpperCAmelCase_       ,   trim_offsets=UpperCAmelCase_       ,   **UpperCAmelCase_       ,   )

						SCREAMING_SNAKE_CASE__													= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
						if pre_tok_state.get('add_prefix_space'       ,   UpperCAmelCase_							) != add_prefix_space:
											SCREAMING_SNAKE_CASE__													= getattr(UpperCAmelCase_       ,   pre_tok_state.pop('type'							)							)
											SCREAMING_SNAKE_CASE__													= add_prefix_space
											SCREAMING_SNAKE_CASE__													= pre_tok_class(**UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= add_prefix_space

						# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
						SCREAMING_SNAKE_CASE__													= 'post_processor'
						SCREAMING_SNAKE_CASE__													= getattr(self.backend_tokenizer       ,   UpperCAmelCase_       ,   UpperCAmelCase_							)
						if tokenizer_component_instance:
											SCREAMING_SNAKE_CASE__													= json.loads(tokenizer_component_instance.__getstate__()							)

											# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
											if "sep" in state:
																SCREAMING_SNAKE_CASE__													= tuple(state['sep']							)
											if "cls" in state:
																SCREAMING_SNAKE_CASE__													= tuple(state['cls']							)

											SCREAMING_SNAKE_CASE__													= False

											if state.get('add_prefix_space'       ,   UpperCAmelCase_							) != add_prefix_space:
																SCREAMING_SNAKE_CASE__													= add_prefix_space
																SCREAMING_SNAKE_CASE__													= True

											if state.get('trim_offsets'       ,   UpperCAmelCase_							) != trim_offsets:
																SCREAMING_SNAKE_CASE__													= trim_offsets
																SCREAMING_SNAKE_CASE__													= True

											if changes_to_apply:
																SCREAMING_SNAKE_CASE__													= getattr(UpperCAmelCase_       ,   state.pop('type'							)							)
																SCREAMING_SNAKE_CASE__													= component_class(**UpperCAmelCase_							)
																setattr(self.backend_tokenizer       ,   UpperCAmelCase_       ,   UpperCAmelCase_							)
	@property
	def      A_				(			self							:   Tuple							):
						if self._mask_token is None:
											if self.verbose:
																logger.error('Using mask_token, but it is not set yet.'							)
											return None
						return str(self._mask_token							)
	@mask_token.setter
	def      A_				(			self							:   Any       ,   UpperCAmelCase_							:   List[Any]							):
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else value
						SCREAMING_SNAKE_CASE__													= value
	def      A_				(			self							:   List[str]       ,   *UpperCAmelCase_							:   Tuple       ,   **UpperCAmelCase_							:   str							):
						SCREAMING_SNAKE_CASE__													= kwargs.get('is_split_into_words'       ,   UpperCAmelCase_							)

						if is_split_into_words and not self.add_prefix_space:
											raise ValueError(
											    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
											    'to use it with pretokenized inputs.'							)

						return super()._batch_encode_plus(*UpperCAmelCase_       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   List[str]       ,   *UpperCAmelCase_							:   Dict       ,   **UpperCAmelCase_							:   int							):
						SCREAMING_SNAKE_CASE__													= kwargs.get('is_split_into_words'       ,   UpperCAmelCase_							)

						if is_split_into_words and not self.add_prefix_space:
											raise ValueError(
											    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
											    'to use it with pretokenized inputs.'							)

						return super()._encode_plus(*UpperCAmelCase_       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   List[str]       ,   UpperCAmelCase_							:   str       ,   UpperCAmelCase_							:   Optional[str] = None							):
						SCREAMING_SNAKE_CASE__													= self._tokenizer.model.save(UpperCAmelCase_       ,   name=UpperCAmelCase_							)
						return tuple(UpperCAmelCase_							)
	def      A_				(			self							:   Optional[Any]       ,   UpperCAmelCase_							:   Optional[Any]       ,   UpperCAmelCase_							:   Union[str, Any]=None							):
						SCREAMING_SNAKE_CASE__													= [self.bos_token_id] + token_ids_a + [self.eos_token_id]
						if token_ids_a is None:
											return output

						return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





	def      A_				(			self							:   str       ,   UpperCAmelCase_							:   List[int]       ,   UpperCAmelCase_							:   Optional[List[int]] = None							):
						SCREAMING_SNAKE_CASE__													= [self.sep_token_id]
						SCREAMING_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]





