
import logging
from pathlib import Path

import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json






def 		_UpperCAmelCase   (	UpperCamelCase:     List[str]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							filter(lambda UpperCamelCase  : p.requires_grad			,							model.parameters()  )
	__lowerCAmelCase         =							sum([np.prod(p.size()  ) for p in model_parameters]  )
	return params


UpperCamelCase_   	=	logging.getLogger(__name__)






def 		_UpperCAmelCase   (	UpperCamelCase:     Dict			,							UpperCamelCase:     Tuple  ):






	"""simple docstring"""


	if metric == "rouge2":
		__lowerCAmelCase         =							"{val_avg_rouge2:.4f}-{step_count}"
	elif metric == "bleu":
		__lowerCAmelCase         =							"{val_avg_bleu:.4f}-{step_count}"
	elif metric == "em":
		__lowerCAmelCase         =							"{val_avg_em:.4f}-{step_count}"
	elif metric == "loss":
		__lowerCAmelCase         =							"{val_avg_loss:.4f}-{step_count}"
	else:
		raise NotImplementedError(
		    F"seq2seq callbacks only support rouge2 and bleu, got {metric}, You can make your own by adding to this"
		    " function."  )

	__lowerCAmelCase         =							ModelCheckpoint(
	    dirpath=UpperCamelCase			,							filename=UpperCamelCase			,							monitor=F"val_{metric}"			,							mode="max"			,							save_top_k=1			,							every_n_epochs=1			,							)

	return checkpoint_callback






def 		_UpperCAmelCase   (	UpperCamelCase:     Tuple			,							UpperCamelCase:     List[str]  ):






	"""simple docstring"""


	return EarlyStopping(
	    monitor=F"val_{metric}"			,							mode="min" if "loss" in metric else "max"			,							patience=UpperCamelCase			,							verbose=UpperCamelCase			,							)



class       a		(   pl.Callback					):







							def       UpperCAmelCase__					(						self  :  Optional[Any]      ,				snake_case__  :  int      ,				snake_case__  :  Union[str, Any] ):
								"""simple docstring"""







								__lowerCAmelCase         =							{F"lr_group_{i}": param["lr"] for i, param in enumerate(pl_module.trainer.optimizers[0].param_groups )}
								pl_module.logger.log_metrics(snake_case__ )







							@rank_zero_only
							def       UpperCAmelCase__					(						self  :  Union[str, Any]      ,				snake_case__  :  pl.Trainer      ,				snake_case__  :  pl.LightningModule      ,				snake_case__  :  str      ,				snake_case__  :  Tuple=True ):
								"""simple docstring"""







								logger.info(F"***** {type_path} results at step {trainer.global_step:05d} *****" )
								__lowerCAmelCase         =							trainer.callback_metrics
								trainer.logger.log_metrics({k: v for k, v in metrics.items() if k not in ["log", "progress_bar", "preds"]} )
								# Log results
								__lowerCAmelCase         =							Path(pl_module.hparams.output_dir )
								if type_path == "test":
									__lowerCAmelCase         =							od / "test_results.txt"
									__lowerCAmelCase         =							od / "test_generations.txt"
								else:
									# this never gets hit. I prefer not to save intermediate generations, and results are in metrics.json
									# If people want this it will be easy enough to add back.
									__lowerCAmelCase         =							od / F"{type_path}_results/{trainer.global_step:05d}.txt"
									__lowerCAmelCase         =							od / F"{type_path}_generations/{trainer.global_step:05d}.txt"
									results_file.parent.mkdir(exist_ok=snake_case__ )
									generations_file.parent.mkdir(exist_ok=snake_case__ )
								with open(snake_case__      ,				"a+" ) as writer:
									for key in sorted(snake_case__ ):
										if key in ["log", "progress_bar", "preds"]:
											continue
										__lowerCAmelCase         =							metrics[key]
										if isinstance(snake_case__      ,				torch.Tensor ):
											__lowerCAmelCase         =							val.item()
										__lowerCAmelCase         =							F"{key}: {val:.6f}\n"
										writer.write(snake_case__ )

								if not save_generations:
									return

								if "preds" in metrics:
									__lowerCAmelCase         =							"\n".join(metrics["preds"] )
									generations_file.open("w+" ).write(snake_case__ )







							@rank_zero_only
							def       UpperCAmelCase__					(						self  :  Union[str, Any]      ,				snake_case__  :  Optional[Any]      ,				snake_case__  :  Dict ):
								"""simple docstring"""







								try:
									__lowerCAmelCase         =							pl_module.model.model.num_parameters()
								except AttributeError:
									__lowerCAmelCase         =							pl_module.model.num_parameters()

								__lowerCAmelCase         =							count_trainable_parameters(snake_case__ )
								# mp stands for million parameters
								trainer.logger.log_metrics({"n_params": npars, "mp": npars / 1E6, "grad_mp": n_trainable_pars / 1E6} )







							@rank_zero_only
							def       UpperCAmelCase__					(						self  :  str      ,				snake_case__  :  pl.Trainer      ,				snake_case__  :  pl.LightningModule ):
								"""simple docstring"""







								save_json(pl_module.metrics      ,				pl_module.metrics_save_path )
								return self._write_logs(snake_case__      ,				snake_case__      ,				"test" )







							@rank_zero_only
							def       UpperCAmelCase__					(						self  :  Optional[int]      ,				snake_case__  :  pl.Trainer      ,				snake_case__  :  Any ):
								"""simple docstring"""







								save_json(pl_module.metrics      ,				pl_module.metrics_save_path )
								# Uncommenting this will save val generations
								# return self._write_logs(trainer, pl_module, "valid")








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


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

@require_sentencepiece
@require_tokenizers
class       a		(   __UpperCAmelCase      ,	unittest.TestCase					):
							lowercase_		:						Union[str, Any]   							=  DebertaVaTokenizer
							lowercase_		:						List[str]   							=  DebertaVaTokenizerFast
							lowercase_		:						str   							=  True
							lowercase_		:						List[Any]   							=  True







							def       UpperCAmelCase__					(						self  :  Optional[Any] ):
								"""simple docstring"""







								super().setUp()

								# We have a SentencePiece fixture for testing
								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				unk_token="<unk>" )
								tokenizer.save_pretrained(self.tmpdirname )







							def       UpperCAmelCase__					(						self  :  str      ,				snake_case__  :  Dict ):
								"""simple docstring"""







								__lowerCAmelCase         =							"this is a test"
								__lowerCAmelCase         =							"this is a test"
								return input_text, output_text







							def       UpperCAmelCase__					(						self  :  int ):
								"""simple docstring"""







								__lowerCAmelCase         =							"<pad>"
								__lowerCAmelCase         =							0

								self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case__ )      ,				snake_case__ )
								self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case__ )      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Any ):
								"""simple docstring"""







								__lowerCAmelCase         =							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(snake_case__ )      ,				30_001 )







							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								self.assertEqual(self.get_tokenizer().vocab_size      ,				30_000 )







							def       UpperCAmelCase__					(						self  :  List[str] ):
								"""simple docstring"""







								__lowerCAmelCase         =							" \tHeLLo!how  \n Are yoU?  "
								__lowerCAmelCase         =							["▁hello", "!", "how", "▁are", "▁you", "?"]
								# fmt: on

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				do_lower_case=snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				do_lower_case=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )







							@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one." )
							def       UpperCAmelCase__					(						self  :  Union[str, Any] ):
								"""simple docstring"""







								pass







							@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one." )
							def       UpperCAmelCase__					(						self  :  List[str] ):
								"""simple docstring"""







								pass







							def       UpperCAmelCase__					(						self  :  Any ):
								"""simple docstring"""







								__lowerCAmelCase         =							"I was born in 92000, and this is falsé."
								__lowerCAmelCase         =							["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
								# fmt: on

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								__lowerCAmelCase         =							"I was born in 92000, and this is falsé."
								__lowerCAmelCase         =							["▁i", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
								# fmt: on

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )
								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Optional[int] ):
								"""simple docstring"""







								__lowerCAmelCase         =							"I was born in 92000, and this is falsé."
								__lowerCAmelCase         =							["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
								# fmt: on

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  int ):
								"""simple docstring"""







								__lowerCAmelCase         =							"I was born in 92000, and this is falsé."
								__lowerCAmelCase         =							["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
								# fmt: on

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								__lowerCAmelCase         =							" \tHeLLo!how  \n Are yoU?  "
								__lowerCAmelCase         =							["▁", "<unk>", "e", "<unk>", "o", "!", "how", "▁", "<unk>", "re", "▁yo", "<unk>", "?"]
								# fmt: on

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				do_lower_case=snake_case__      ,				split_by_punct=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )

								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Optional[int] ):
								"""simple docstring"""







								__lowerCAmelCase         =							self.get_tokenizer()
								__lowerCAmelCase         =							self.get_rust_tokenizer()

								__lowerCAmelCase         =							"I was born in 92000, and this is falsé."

								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ ) )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							self.get_rust_tokenizer()
								__lowerCAmelCase         =							tokenizer.encode(snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.encode(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Optional[int] ):
								"""simple docstring"""







								__lowerCAmelCase         =							"This is a test"
								__lowerCAmelCase         =							[13, 1, 4_398, 25, 21, 1_289]
								__lowerCAmelCase         =							["▁", "T", "his", "▁is", "▁a", "▁test"]
								__lowerCAmelCase         =							["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__      ,				keep_accents=snake_case__ )
								__lowerCAmelCase         =							DebertaVaTokenizerFast(snake_case__      ,				keep_accents=snake_case__ )

								__lowerCAmelCase         =							tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							tokenizer.tokenize(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.tokenize(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								# fmt: off
								__lowerCAmelCase         =							"I was born in 92000, and this is falsé."
								__lowerCAmelCase         =							[13, 1, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]
								__lowerCAmelCase         =							["▁", "I", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", ".", ]
								__lowerCAmelCase         =							["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
								# fmt: on

								__lowerCAmelCase         =							tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							tokenizer.tokenize(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							tokenizer.convert_ids_to_tokens(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )

								__lowerCAmelCase         =							rust_tokenizer.encode(snake_case__      ,				add_special_tokens=snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.tokenize(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )
								__lowerCAmelCase         =							rust_tokenizer.convert_ids_to_tokens(snake_case__ )
								self.assertListEqual(snake_case__      ,				snake_case__ )







							def       UpperCAmelCase__					(						self  :  Any ):
								"""simple docstring"""







								__lowerCAmelCase         =							DebertaVaTokenizer(snake_case__ )

								__lowerCAmelCase         =							tokenizer.encode("sequence builders" )
								__lowerCAmelCase         =							tokenizer.encode("multi-sequence build" )

								__lowerCAmelCase         =							tokenizer.build_inputs_with_special_tokens(snake_case__ )
								__lowerCAmelCase         =							tokenizer.build_inputs_with_special_tokens(snake_case__      ,				snake_case__ )

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







							@slow
							def       UpperCAmelCase__					(						self  :  Optional[int] ):
								"""simple docstring"""







								__lowerCAmelCase         =							{"input_ids": [[1, 39_867, 36, 19_390, 486, 27, 35_052, 81_436, 18, 60_685, 1_225, 7, 35_052, 81_436, 18, 9_367, 16_899, 18, 15_937, 53, 594, 773, 18, 16_287, 30_465, 36, 15_937, 6, 41_139, 38, 36_979, 60_763, 191, 6, 34_132, 99, 6, 50_538, 390, 43_230, 6, 34_132, 2_779, 20_850, 14, 699, 1_072, 1_194, 36, 382, 10_901, 53, 7, 699, 1_072, 2_084, 36, 20_422, 630, 53, 19, 105, 3_049, 1_896, 1_053, 16_899, 1_506, 11, 37_978, 4_243, 7, 1_237, 31_869, 200, 16_566, 654, 6, 35_052, 81_436, 7, 55_630, 13_593, 4, 2], [1, 26, 15_011, 13, 667, 8, 1_053, 18, 23_611, 1_237, 72_356, 12_820, 34, 104_134, 1_209, 35, 13_313, 6_627, 21, 202, 347, 7, 164, 2_399, 11, 46, 4_485, 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, 1_232, 2_864, 15_785, 14_951, 105, 5, 8_581, 1_250, 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=snake_case__      ,				model_name="microsoft/deberta-v2-xlarge"      ,				revision="ad6e42c1532ddf3a15c39246b63f5559d558b670"      ,				)






