

import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class        SCREAMING_SNAKE_CASE      (	snake_case__					,							unittest.TestCase ):






					"""simple docstring"""



					lowercase__       				= RealmTokenizer
					lowercase__       				= RealmTokenizerFast
					lowercase__       				= True
					lowercase__       				= True
					lowercase__       				= filter_non_english







					def  __lowerCAmelCase				( self    :       Optional[int]	):
						super().setUp()

						lowerCAmelCase__			:		Optional[Any]						       =			[
						    '[UNK]',
						    '[CLS]',
						    '[SEP]',
						    '[PAD]',
						    '[MASK]',
						    'want',
						    '##want',
						    '##ed',
						    'wa',
						    'un',
						    'runn',
						    '##ing',
						    ',',
						    'low',
						    'lowest',
						]
						lowerCAmelCase__			:		List[Any]						       =			os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES['''vocab_file''']	)
						with open(self.vocab_file     ,'''w'''     ,encoding='''utf-8'''	) as vocab_writer:
							vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]	)	)







					def  __lowerCAmelCase				( self    :       str     ,lowercase_    :       str	):
						lowerCAmelCase__			:		Optional[int]						       =			'UNwant\u00E9d,running'
						lowerCAmelCase__			:		List[str]						       =			'unwanted, running'
						return input_text, output_text







					def  __lowerCAmelCase				( self    :       Any	):
						lowerCAmelCase__			:		Optional[Any]						       =			self.tokenizer_class(self.vocab_file	)

						lowerCAmelCase__			:		Dict						       =			tokenizer.tokenize('''UNwant\u00E9d,running'''	)
						self.assertListEqual(lowercase_     ,['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']	)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_	)     ,[9, 6, 7, 1_2, 1_0, 1_1]	)







					def  __lowerCAmelCase				( self    :       Tuple	):
						if not self.test_rust_tokenizer:
							return

						lowerCAmelCase__			:		int						       =			self.get_tokenizer()
						lowerCAmelCase__			:		Optional[Any]						       =			self.get_rust_tokenizer()

						lowerCAmelCase__			:		Optional[Any]						       =			'UNwant\u00E9d,running'

						lowerCAmelCase__			:		Optional[int]						       =			tokenizer.tokenize(lowercase_	)
						lowerCAmelCase__			:		Optional[int]						       =			rust_tokenizer.tokenize(lowercase_	)
						self.assertListEqual(lowercase_     ,lowercase_	)

						lowerCAmelCase__			:		Dict						       =			tokenizer.encode(lowercase_     ,add_special_tokens=lowercase_	)
						lowerCAmelCase__			:		List[Any]						       =			rust_tokenizer.encode(lowercase_     ,add_special_tokens=lowercase_	)
						self.assertListEqual(lowercase_     ,lowercase_	)

						lowerCAmelCase__			:		Tuple						       =			self.get_rust_tokenizer()
						lowerCAmelCase__			:		Optional[int]						       =			tokenizer.encode(lowercase_	)
						lowerCAmelCase__			:		Tuple						       =			rust_tokenizer.encode(lowercase_	)
						self.assertListEqual(lowercase_     ,lowercase_	)

						# With lower casing
						lowerCAmelCase__			:		List[str]						       =			self.get_tokenizer(do_lower_case=lowercase_	)
						lowerCAmelCase__			:		List[str]						       =			self.get_rust_tokenizer(do_lower_case=lowercase_	)

						lowerCAmelCase__			:		str						       =			'UNwant\u00E9d,running'

						lowerCAmelCase__			:		int						       =			tokenizer.tokenize(lowercase_	)
						lowerCAmelCase__			:		int						       =			rust_tokenizer.tokenize(lowercase_	)
						self.assertListEqual(lowercase_     ,lowercase_	)

						lowerCAmelCase__			:		Tuple						       =			tokenizer.encode(lowercase_     ,add_special_tokens=lowercase_	)
						lowerCAmelCase__			:		Tuple						       =			rust_tokenizer.encode(lowercase_     ,add_special_tokens=lowercase_	)
						self.assertListEqual(lowercase_     ,lowercase_	)

						lowerCAmelCase__			:		Optional[int]						       =			self.get_rust_tokenizer()
						lowerCAmelCase__			:		Union[str, Any]						       =			tokenizer.encode(lowercase_	)
						lowerCAmelCase__			:		Tuple						       =			rust_tokenizer.encode(lowercase_	)
						self.assertListEqual(lowercase_     ,lowercase_	)







					def  __lowerCAmelCase				( self    :       List[Any]	):
						lowerCAmelCase__			:		Tuple						       =			BasicTokenizer()

						self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''	)     ,['''ah''', '''\u535A''', '''\u63A8''', '''zz''']	)







					def  __lowerCAmelCase				( self    :       List[str]	):
						lowerCAmelCase__			:		str						       =			BasicTokenizer(do_lower_case=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''	)     ,['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']	)
						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''	)     ,['''hello''']	)







					def  __lowerCAmelCase				( self    :       Optional[int]	):
						lowerCAmelCase__			:		Optional[int]						       =			BasicTokenizer(do_lower_case=lowercase_     ,strip_accents=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)     ,['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']	)
						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''	)     ,['''h\u00E9llo''']	)







					def  __lowerCAmelCase				( self    :       Dict	):
						lowerCAmelCase__			:		str						       =			BasicTokenizer(do_lower_case=lowercase_     ,strip_accents=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)     ,['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']	)
						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''	)     ,['''hello''']	)







					def  __lowerCAmelCase				( self    :       int	):
						lowerCAmelCase__			:		List[Any]						       =			BasicTokenizer(do_lower_case=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)     ,['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']	)
						self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''	)     ,['''hello''']	)







					def  __lowerCAmelCase				( self    :       Optional[Any]	):
						lowerCAmelCase__			:		Dict						       =			BasicTokenizer(do_lower_case=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''	)     ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)







					def  __lowerCAmelCase				( self    :       Optional[Any]	):
						lowerCAmelCase__			:		List[str]						       =			BasicTokenizer(do_lower_case=lowercase_     ,strip_accents=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)     ,['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)







					def  __lowerCAmelCase				( self    :       str	):
						lowerCAmelCase__			:		Optional[Any]						       =			BasicTokenizer(do_lower_case=lowercase_     ,strip_accents=lowercase_	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)     ,['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)







					def  __lowerCAmelCase				( self    :       Dict	):
						lowerCAmelCase__			:		List[Any]						       =			BasicTokenizer(do_lower_case=lowercase_     ,never_split=['''[UNK]''']	)

						self.assertListEqual(
						    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''	)     ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']	)







					def  __lowerCAmelCase				( self    :       Any	):
						lowerCAmelCase__			:		Optional[Any]						       =			['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

						lowerCAmelCase__			:		Union[str, Any]						       =			{}
						for i, token in enumerate(lowercase_	):
							lowerCAmelCase__			:		List[str]						       =			i
						lowerCAmelCase__			:		Optional[int]						       =			WordpieceTokenizer(vocab=lowercase_     ,unk_token='''[UNK]'''	)

						self.assertListEqual(tokenizer.tokenize(''''''	)     ,[]	)

						self.assertListEqual(tokenizer.tokenize('''unwanted running'''	)     ,['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']	)

						self.assertListEqual(tokenizer.tokenize('''unwantedX running'''	)     ,['''[UNK]''', '''runn''', '''##ing''']	)







					def  __lowerCAmelCase				( self    :       int	):
						self.assertTrue(_is_whitespace(''' '''	)	)
						self.assertTrue(_is_whitespace('''\t'''	)	)
						self.assertTrue(_is_whitespace('''\r'''	)	)
						self.assertTrue(_is_whitespace('''\n'''	)	)
						self.assertTrue(_is_whitespace('''\u00A0'''	)	)

						self.assertFalse(_is_whitespace('''A'''	)	)
						self.assertFalse(_is_whitespace('''-'''	)	)







					def  __lowerCAmelCase				( self    :       int	):
						self.assertTrue(_is_control('''\u0005'''	)	)

						self.assertFalse(_is_control('''A'''	)	)
						self.assertFalse(_is_control(''' '''	)	)
						self.assertFalse(_is_control('''\t'''	)	)
						self.assertFalse(_is_control('''\r'''	)	)







					def  __lowerCAmelCase				( self    :       Any	):
						self.assertTrue(_is_punctuation('''-'''	)	)
						self.assertTrue(_is_punctuation('''$'''	)	)
						self.assertTrue(_is_punctuation('''`'''	)	)
						self.assertTrue(_is_punctuation('''.'''	)	)

						self.assertFalse(_is_punctuation('''A'''	)	)
						self.assertFalse(_is_punctuation(''' '''	)	)







					def  __lowerCAmelCase				( self    :       Optional[Any]	):
						lowerCAmelCase__			:		Tuple						       =			self.get_tokenizer()

						# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
						self.assertListEqual([tokenizer.tokenize(lowercase_	) for t in ['''Test''', '''\xad''', '''test''']]     ,[['''[UNK]'''], [], ['''[UNK]''']]	)

						if self.test_rust_tokenizer:
							lowerCAmelCase__			:		List[Any]						       =			self.get_rust_tokenizer()
							self.assertListEqual(
							    [rust_tokenizer.tokenize(lowercase_	) for t in ['''Test''', '''\xad''', '''test''']]     ,[['''[UNK]'''], [], ['''[UNK]''']]	)







					@slow
					def  __lowerCAmelCase				( self    :       List[str]	):
						lowerCAmelCase__			:		List[str]						       =			self.tokenizer_class.from_pretrained('''bert-base-uncased'''	)

						lowerCAmelCase__			:		Optional[Any]						       =			tokenizer.encode('''sequence builders'''     ,add_special_tokens=lowercase_	)
						lowerCAmelCase__			:		Optional[Any]						       =			tokenizer.encode('''multi-sequence build'''     ,add_special_tokens=lowercase_	)

						lowerCAmelCase__			:		str						       =			tokenizer.build_inputs_with_special_tokens(lowercase_	)
						lowerCAmelCase__			:		str						       =			tokenizer.build_inputs_with_special_tokens(lowercase_     ,lowercase_	)

						assert encoded_sentence == [1_0_1] + text + [1_0_2]
						assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]







					def  __lowerCAmelCase				( self    :       Tuple	):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'	):
								lowerCAmelCase__			:		List[Any]						       =			self.rust_tokenizer_class.from_pretrained(lowercase_     ,**lowercase_	)

								lowerCAmelCase__			:		int						       =			F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
								lowerCAmelCase__			:		str						       =			tokenizer_r.encode_plus(
								    lowercase_     ,return_attention_mask=lowercase_     ,return_token_type_ids=lowercase_     ,return_offsets_mapping=lowercase_     ,add_special_tokens=lowercase_     ,)

								lowerCAmelCase__			:		Union[str, Any]						       =			tokenizer_r.do_lower_case if hasattr(lowercase_     ,'''do_lower_case'''	) else False
								lowerCAmelCase__			:		Optional[int]						       =			(
								    [
								        ((0, 0), tokenizer_r.cls_token),
								        ((0, 1), 'A'),
								        ((1, 2), ','),
								        ((3, 5), 'na'),
								        ((5, 6), '##ï'),
								        ((6, 8), '##ve'),
								        ((9, 1_5), tokenizer_r.mask_token),
								        ((1_6, 2_1), 'Allen'),
								        ((2_1, 2_3), '##NL'),
								        ((2_3, 2_4), '##P'),
								        ((2_5, 3_3), 'sentence'),
								        ((3_3, 3_4), '.'),
								        ((0, 0), tokenizer_r.sep_token),
								    ]
								    if not do_lower_case
								    else [
								        ((0, 0), tokenizer_r.cls_token),
								        ((0, 1), 'a'),
								        ((1, 2), ','),
								        ((3, 8), 'naive'),
								        ((9, 1_5), tokenizer_r.mask_token),
								        ((1_6, 2_1), 'allen'),
								        ((2_1, 2_3), '##nl'),
								        ((2_3, 2_4), '##p'),
								        ((2_5, 3_3), 'sentence'),
								        ((3_3, 3_4), '.'),
								        ((0, 0), tokenizer_r.sep_token),
								    ]
								)

								self.assertEqual(
								    [e[1] for e in expected_results]     ,tokenizer_r.convert_ids_to_tokens(tokens['''input_ids''']	)	)
								self.assertEqual([e[0] for e in expected_results]     ,tokens['''offset_mapping''']	)







					@slow
					def  __lowerCAmelCase				( self    :       Tuple	):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'	):
								lowerCAmelCase__			:		List[str]						       =			self.rust_tokenizer_class.from_pretrained(lowercase_     ,**lowercase_	)
								lowerCAmelCase__			:		Dict						       =			self.tokenizer_class.from_pretrained(lowercase_     ,**lowercase_	)
								lowerCAmelCase__			:		List[Any]						       =			[['Hello world!', 'Nice to meet you!'], ['The cute cat.', 'The adorable dog.']]

								lowerCAmelCase__			:		Optional[Any]						       =			tokenizer_r.batch_encode_candidates(lowercase_     ,max_length=1_0     ,return_tensors='''np'''	)
								lowerCAmelCase__			:		int						       =			tokenizer_p.batch_encode_candidates(lowercase_     ,max_length=1_0     ,return_tensors='''np'''	)

								lowerCAmelCase__			:		str						       =			(2, 2, 1_0)

								self.assertEqual(encoded_sentence_r['''input_ids'''].shape     ,lowercase_	)
								self.assertEqual(encoded_sentence_r['''attention_mask'''].shape     ,lowercase_	)
								self.assertEqual(encoded_sentence_r['''token_type_ids'''].shape     ,lowercase_	)

								self.assertEqual(encoded_sentence_p['''input_ids'''].shape     ,lowercase_	)
								self.assertEqual(encoded_sentence_p['''attention_mask'''].shape     ,lowercase_	)
								self.assertEqual(encoded_sentence_p['''token_type_ids'''].shape     ,lowercase_	)







"""simple docstring"""





from collections import OrderedDict
from typing import Any, List, Mapping, Optional

from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import logging


__UpperCamelCase						:   str							   =	logging.get_logger(__name__)

__UpperCamelCase						:   Union[str, Any]							   =	{
    '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/config.json''',
    '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/config.json''',
    '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/config.json''',
    '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/config.json''',
    '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/config.json''',
}







class        SCREAMING_SNAKE_CASE      (	a_ ):






					"""simple docstring"""



					lowercase__       				= "gpt2"
					lowercase__       				= ["past_key_values"]
					lowercase__       				= {
					    "hidden_size": "n_embd",
					    "max_position_embeddings": "n_positions",
					    "num_attention_heads": "n_head",
					    "num_hidden_layers": "n_layer",
					}







					def __init__( self    :       List[str]     ,lowercase_    :       Dict=5_0_2_5_7     ,lowercase_    :       Dict=1_0_2_4     ,lowercase_    :       Any=7_6_8     ,lowercase_    :       str=1_2     ,lowercase_    :       int=1_2     ,lowercase_    :       List[Any]=None     ,lowercase_    :       Dict="gelu_new"     ,lowercase_    :       Any=0.1     ,lowercase_    :       Optional[Any]=0.1     ,lowercase_    :       Tuple=0.1     ,lowercase_    :       Dict=1E-5     ,lowercase_    :       List[Any]=0.02     ,lowercase_    :       Tuple="cls_index"     ,lowercase_    :       Optional[int]=True     ,lowercase_    :       Union[str, Any]=None     ,lowercase_    :       Optional[Any]=True     ,lowercase_    :       List[Any]=0.1     ,lowercase_    :       List[str]=True     ,lowercase_    :       int=True     ,lowercase_    :       Optional[Any]=5_0_2_5_6     ,lowercase_    :       Dict=5_0_2_5_6     ,lowercase_    :       Union[str, Any]=False     ,lowercase_    :       Optional[Any]=False     ,**lowercase_    :       Dict     ,):
						lowerCAmelCase__			:		Tuple						       =			vocab_size
						lowerCAmelCase__			:		List[Any]						       =			n_positions
						lowerCAmelCase__			:		Optional[int]						       =			n_embd
						lowerCAmelCase__			:		Tuple						       =			n_layer
						lowerCAmelCase__			:		Optional[Any]						       =			n_head
						lowerCAmelCase__			:		List[Any]						       =			n_inner
						lowerCAmelCase__			:		Any						       =			activation_function
						lowerCAmelCase__			:		Optional[int]						       =			resid_pdrop
						lowerCAmelCase__			:		str						       =			embd_pdrop
						lowerCAmelCase__			:		Tuple						       =			attn_pdrop
						lowerCAmelCase__			:		List[str]						       =			layer_norm_epsilon
						lowerCAmelCase__			:		Union[str, Any]						       =			initializer_range
						lowerCAmelCase__			:		Optional[int]						       =			summary_type
						lowerCAmelCase__			:		Optional[Any]						       =			summary_use_proj
						lowerCAmelCase__			:		List[str]						       =			summary_activation
						lowerCAmelCase__			:		Optional[int]						       =			summary_first_dropout
						lowerCAmelCase__			:		Dict						       =			summary_proj_to_labels
						lowerCAmelCase__			:		Dict						       =			scale_attn_weights
						lowerCAmelCase__			:		Dict						       =			use_cache
						lowerCAmelCase__			:		List[Any]						       =			scale_attn_by_inverse_layer_idx
						lowerCAmelCase__			:		int						       =			reorder_and_upcast_attn

						lowerCAmelCase__			:		List[str]						       =			bos_token_id
						lowerCAmelCase__			:		List[str]						       =			eos_token_id

						super().__init__(bos_token_id=lowercase_     ,eos_token_id=lowercase_     ,**lowercase_	)







class        SCREAMING_SNAKE_CASE      (	a_ ):






					"""simple docstring"""



					def __init__( self    :       Optional[int]     ,lowercase_    :       PretrainedConfig     ,lowercase_    :       str = "default"     ,lowercase_    :       List[PatchingSpec] = None     ,lowercase_    :       bool = False     ,):
						super().__init__(lowercase_     ,task=lowercase_     ,patching_specs=lowercase_     ,use_past=lowercase_	)
						if not getattr(self._config     ,'''pad_token_id'''     ,lowercase_	):
							# TODO: how to do that better?
							lowerCAmelCase__			:		int						       =			0







					@property
					def  __lowerCAmelCase				( self    :       List[str]	):
						lowerCAmelCase__			:		Any						       =			OrderedDict({'''input_ids''': {0: '''batch''', 1: '''sequence'''}}	)
						if self.use_past:
							self.fill_with_past_key_values_(lowercase_     ,direction='''inputs'''	)
							lowerCAmelCase__			:		str						       =			{0: '''batch''', 1: '''past_sequence + sequence'''}
						else:
							lowerCAmelCase__			:		List[str]						       =			{0: '''batch''', 1: '''sequence'''}

						return common_inputs







					@property
					def  __lowerCAmelCase				( self    :       Any	):
						return self._config.n_layer







					@property
					def  __lowerCAmelCase				( self    :       List[str]	):
						return self._config.n_head







					def  __lowerCAmelCase				( self    :       Union[str, Any]     ,lowercase_    :       PreTrainedTokenizer     ,lowercase_    :       int = -1     ,lowercase_    :       int = -1     ,lowercase_    :       bool = False     ,lowercase_    :       Optional[TensorType] = None     ,):
						lowerCAmelCase__			:		Any						       =			super(lowercase_     ,self	).generate_dummy_inputs(
						    lowercase_     ,batch_size=lowercase_     ,seq_length=lowercase_     ,is_pair=lowercase_     ,framework=lowercase_	)

						# We need to order the input in the way they appears in the forward()
						lowerCAmelCase__			:		List[Any]						       =			OrderedDict({'''input_ids''': common_inputs['''input_ids''']}	)

						# Need to add the past_keys
						if self.use_past:
							if not is_torch_available():
								raise ValueError('''Cannot generate dummy past_keys inputs without PyTorch installed.'''	)
							else:
								import torch

								lowerCAmelCase__       ,lowerCAmelCase__			:		List[Any]						       =			common_inputs['''input_ids'''].shape
								# Not using the same length for past_key_values
								lowerCAmelCase__			:		Dict						       =			seqlen + 2
								lowerCAmelCase__			:		Optional[Any]						       =			(
								    batch,
								    self.num_attention_heads,
								    past_key_values_length,
								    self._config.hidden_size // self.num_attention_heads,
								)
								lowerCAmelCase__			:		Tuple						       =			[
								    (torch.zeros(lowercase_	), torch.zeros(lowercase_	)) for _ in range(self.num_layers	)
								]

						lowerCAmelCase__			:		Any						       =			common_inputs['''attention_mask''']
						if self.use_past:
							lowerCAmelCase__			:		Optional[Any]						       =			ordered_inputs['''attention_mask'''].dtype
							lowerCAmelCase__			:		Union[str, Any]						       =			torch.cat(
							    [ordered_inputs['''attention_mask'''], torch.ones(lowercase_     ,lowercase_     ,dtype=lowercase_	)]     ,dim=1	)

						return ordered_inputs







					@property
					def  __lowerCAmelCase				( self    :       str	):
						return 1_3




