
from typing import List, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case								=  logging.get_logger(__name__)

__snake_case								=  {
    """huggingface/informer-tourism-monthly""": (
        """https://huggingface.co/huggingface/informer-tourism-monthly/resolve/main/config.json"""
    ),
    # See all Informer models at https://huggingface.co/models?filter=informer
}




class 						lowercase__  (						_UpperCAmelCase  ):
	A__    :   Tuple				       ="""informer"""
	A__    :   Dict				       ={
	    """hidden_size""": """d_model""",
	    """num_attention_heads""": """encoder_attention_heads""",
	    """num_hidden_layers""": """encoder_layers""",
	}
	def __init__(			self							:   Dict       ,   UpperCAmelCase_							:   Optional[int] = None       ,   UpperCAmelCase_							:   Optional[int] = None       ,   UpperCAmelCase_							:   str = "student_t"       ,   UpperCAmelCase_							:   str = "nll"       ,   UpperCAmelCase_							:   int = 1       ,   UpperCAmelCase_							:   List[int] = None       ,   UpperCAmelCase_							:   Optional[Union[str, bool]] = "mean"       ,   UpperCAmelCase_							:   int = 0       ,   UpperCAmelCase_							:   int = 0       ,   UpperCAmelCase_							:   int = 0       ,   UpperCAmelCase_							:   int = 0       ,   UpperCAmelCase_							:   Optional[List[int]] = None       ,   UpperCAmelCase_							:   Optional[List[int]] = None       ,   UpperCAmelCase_							:   int = 64       ,   UpperCAmelCase_							:   int = 32       ,   UpperCAmelCase_							:   int = 32       ,   UpperCAmelCase_							:   int = 2       ,   UpperCAmelCase_							:   int = 2       ,   UpperCAmelCase_							:   int = 2       ,   UpperCAmelCase_							:   int = 2       ,   UpperCAmelCase_							:   bool = True       ,   UpperCAmelCase_							:   str = "gelu"       ,   UpperCAmelCase_							:   float = 0.05       ,   UpperCAmelCase_							:   float = 0.1       ,   UpperCAmelCase_							:   float = 0.1       ,   UpperCAmelCase_							:   float = 0.1       ,   UpperCAmelCase_							:   float = 0.1       ,   UpperCAmelCase_							:   int = 100       ,   UpperCAmelCase_							:   float = 0.02       ,   UpperCAmelCase_							:   Tuple=True       ,   UpperCAmelCase_							:   str = "prob"       ,   UpperCAmelCase_							:   int = 5       ,   UpperCAmelCase_							:   bool = True       ,   **UpperCAmelCase_							:   Union[str, Any]       ,   ):
						# time series specific configuration
						SCREAMING_SNAKE_CASE__													= prediction_length
						SCREAMING_SNAKE_CASE__													= context_length or prediction_length
						SCREAMING_SNAKE_CASE__													= distribution_output
						SCREAMING_SNAKE_CASE__													= loss
						SCREAMING_SNAKE_CASE__													= input_size
						SCREAMING_SNAKE_CASE__													= num_time_features
						SCREAMING_SNAKE_CASE__													= lags_sequence if lags_sequence is not None else [1, 2, 3, 4, 5, 6, 7]
						SCREAMING_SNAKE_CASE__													= scaling
						SCREAMING_SNAKE_CASE__													= num_dynamic_real_features
						SCREAMING_SNAKE_CASE__													= num_static_real_features
						SCREAMING_SNAKE_CASE__													= num_static_categorical_features

						# set cardinality
						if cardinality and num_static_categorical_features > 0:
											if len(UpperCAmelCase_							) != num_static_categorical_features:
																raise ValueError(
																    'The cardinality should be a list of the same length as `num_static_categorical_features`'							)
											SCREAMING_SNAKE_CASE__													= cardinality
						else:
											SCREAMING_SNAKE_CASE__													= [0]

						# set embedding_dimension
						if embedding_dimension and num_static_categorical_features > 0:
											if len(UpperCAmelCase_							) != num_static_categorical_features:
																raise ValueError(
																    'The embedding dimension should be a list of the same length as `num_static_categorical_features`'							)
											SCREAMING_SNAKE_CASE__													= embedding_dimension
						else:
											SCREAMING_SNAKE_CASE__													= [min(50       ,   (cat + 1) // 2							) for cat in self.cardinality]

						SCREAMING_SNAKE_CASE__													= num_parallel_samples

						# Transformer architecture configuration
						SCREAMING_SNAKE_CASE__													= input_size * len(self.lags_sequence							) + self._number_of_features
						SCREAMING_SNAKE_CASE__													= d_model
						SCREAMING_SNAKE_CASE__													= encoder_attention_heads
						SCREAMING_SNAKE_CASE__													= decoder_attention_heads
						SCREAMING_SNAKE_CASE__													= encoder_ffn_dim
						SCREAMING_SNAKE_CASE__													= decoder_ffn_dim
						SCREAMING_SNAKE_CASE__													= encoder_layers
						SCREAMING_SNAKE_CASE__													= decoder_layers

						SCREAMING_SNAKE_CASE__													= dropout
						SCREAMING_SNAKE_CASE__													= attention_dropout
						SCREAMING_SNAKE_CASE__													= activation_dropout
						SCREAMING_SNAKE_CASE__													= encoder_layerdrop
						SCREAMING_SNAKE_CASE__													= decoder_layerdrop

						SCREAMING_SNAKE_CASE__													= activation_function
						SCREAMING_SNAKE_CASE__													= init_std

						SCREAMING_SNAKE_CASE__													= use_cache

						# Informer
						SCREAMING_SNAKE_CASE__													= attention_type
						SCREAMING_SNAKE_CASE__													= sampling_factor
						SCREAMING_SNAKE_CASE__													= distil

						super().__init__(is_encoder_decoder=UpperCAmelCase_       ,   **UpperCAmelCase_							)





	@property
	def      A_				(			self							:   Tuple							):
						return (
						    sum(self.embedding_dimension							)
						    + self.num_dynamic_real_features
						    + self.num_time_features
						    + self.num_static_real_features
						    + self.input_size * 2  # the log1p(abs(loc)) and log(scale) features
						)







import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__snake_case								=  get_tests_dir("""fixtures/spiece.model""")




@require_sentencepiece
@require_tokenizers
class 						lowercase__  (						_UpperCAmelCase     ,       unittest.TestCase  ):
	A__    :   str				       =DebertaVaTokenizer
	A__    :   List[str]				       =DebertaVaTokenizerFast
	A__    :   Any				       =True
	A__    :   str				       =True
	def      A_				(			self							:   Tuple							):
						super().setUp()

						# We have a SentencePiece fixture for testing
						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   unk_token='<unk>'							)
						tokenizer.save_pretrained(self.tmpdirname							)
	def      A_				(			self							:   Union[str, Any]       ,   UpperCAmelCase_							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= 'this is a test'
						SCREAMING_SNAKE_CASE__													= 'this is a test'
						return input_text, output_text
	def      A_				(			self							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= '<pad>'
						SCREAMING_SNAKE_CASE__													= 0

						self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase_							)       ,   UpperCAmelCase_							)
						self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase_							)       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Union[str, Any]							):
						SCREAMING_SNAKE_CASE__													= list(self.get_tokenizer().get_vocab().keys()							)
						self.assertEqual(vocab_keys[0]       ,   '<pad>'							)
						self.assertEqual(vocab_keys[1]       ,   '<unk>'							)
						self.assertEqual(vocab_keys[-1]       ,   '[PAD]'							)
						self.assertEqual(len(UpperCAmelCase_							)       ,   30001							)
	def      A_				(			self							:   str							):
						self.assertEqual(self.get_tokenizer().vocab_size       ,   30000							)
	def      A_				(			self							:   Optional[Any]							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= ' \tHeLLo!how  \n Are yoU?  '
						SCREAMING_SNAKE_CASE__													= ['▁hello', '!', 'how', '▁are', '▁you', '?']
						# fmt: on

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	@unittest.skip('There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'							)
	def      A_				(			self							:   Any							):
						pass
	@unittest.skip('There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'							)
	def      A_				(			self							:   Tuple							):
						pass
	def      A_				(			self							:   List[str]							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= 'I was born in 92000, and this is falsé.'
						SCREAMING_SNAKE_CASE__													= ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
						# fmt: on

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   List[str]							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= 'I was born in 92000, and this is falsé.'
						SCREAMING_SNAKE_CASE__													= ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
						# fmt: on

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   int							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= 'I was born in 92000, and this is falsé.'
						SCREAMING_SNAKE_CASE__													= ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
						# fmt: on

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Tuple							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= 'I was born in 92000, and this is falsé.'
						SCREAMING_SNAKE_CASE__													= ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
						# fmt: on

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Any							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= ' \tHeLLo!how  \n Are yoU?  '
						SCREAMING_SNAKE_CASE__													= ['▁', '<unk>', 'e', '<unk>', 'o', '!', 'how', '▁', '<unk>', 're', '▁yo', '<unk>', '?']
						# fmt: on

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   do_lower_case=UpperCAmelCase_       ,   split_by_punct=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)

						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   int							):
						SCREAMING_SNAKE_CASE__													= self.get_tokenizer()
						SCREAMING_SNAKE_CASE__													= self.get_rust_tokenizer()

						SCREAMING_SNAKE_CASE__													= 'I was born in 92000, and this is falsé.'

						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= self.get_rust_tokenizer()
						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Union[str, Any]							):
						SCREAMING_SNAKE_CASE__													= 'This is a test'
						SCREAMING_SNAKE_CASE__													= [13, 1, 4398, 25, 21, 1289]
						SCREAMING_SNAKE_CASE__													= ['▁', 'T', 'his', '▁is', '▁a', '▁test']
						SCREAMING_SNAKE_CASE__													= ['▁', '<unk>', 'his', '▁is', '▁a', '▁test']

						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_       ,   keep_accents=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizerFast(UpperCAmelCase_       ,   keep_accents=UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.tokenize(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						# fmt: off
						SCREAMING_SNAKE_CASE__													= 'I was born in 92000, and this is falsé.'
						SCREAMING_SNAKE_CASE__													= [13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
						SCREAMING_SNAKE_CASE__													= ['▁', 'I', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.', ]
						SCREAMING_SNAKE_CASE__													= ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
						# fmt: on

						SCREAMING_SNAKE_CASE__													= tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.tokenize(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= tokenizer.convert_ids_to_tokens(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)

						SCREAMING_SNAKE_CASE__													= rust_tokenizer.encode(UpperCAmelCase_       ,   add_special_tokens=UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.tokenize(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= rust_tokenizer.convert_ids_to_tokens(UpperCAmelCase_							)
						self.assertListEqual(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Optional[Any]							):
						SCREAMING_SNAKE_CASE__													= DebertaVaTokenizer(UpperCAmelCase_							)

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

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

						self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]       ,   UpperCAmelCase_							)
						self.assertEqual(
						    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]       ,   UpperCAmelCase_       ,   )





	@slow
	def      A_				(			self							:   Optional[Any]							):
						# fmt: off
						SCREAMING_SNAKE_CASE__													= {'input_ids': [[1, 39867, 36, 19390, 486, 27, 35052, 81436, 18, 60685, 1225, 7, 35052, 81436, 18, 9367, 16899, 18, 15937, 53, 594, 773, 18, 16287, 30465, 36, 15937, 6, 41139, 38, 36979, 60763, 191, 6, 34132, 99, 6, 50538, 390, 43230, 6, 34132, 2779, 20850, 14, 699, 1072, 1194, 36, 382, 10901, 53, 7, 699, 1072, 2084, 36, 20422, 630, 53, 19, 105, 3049, 1896, 1053, 16899, 1506, 11, 37978, 4243, 7, 1237, 31869, 200, 16566, 654, 6, 35052, 81436, 7, 55630, 13593, 4, 2], [1, 26, 15011, 13, 667, 8, 1053, 18, 23611, 1237, 72356, 12820, 34, 104134, 1209, 35, 13313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 15785, 14951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
						# fmt: on

						self.tokenizer_integration_test_util(
						    expected_encoding=UpperCAmelCase_       ,   model_name='microsoft/deberta-v2-xlarge'       ,   revision='ad6e42c1532ddf3a15c39246b63f5559d558b670'       ,   )





