'''simple docstring'''
import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	DownBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  def  lowerCAmelCase__ (      self			:       List[Any]  )				->int:
        UpperCAmelCase_            =  [-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	ResnetDownsampleBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  def  lowerCAmelCase__ (      self			:       List[str]  )				->Tuple:
        UpperCAmelCase_            =  [0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	AttnDownBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  def  lowerCAmelCase__ (      self			:       Any  )				->Optional[int]:
        UpperCAmelCase_            =  [0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	CrossAttnDownBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  def  lowerCAmelCase__ (      self			:       Any  )				->List[str]:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  super().prepare_init_args_and_inputs_for_common()
        UpperCAmelCase_            =  32
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Tuple  )				->List[Any]:
        UpperCAmelCase_            =  [0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	SimpleCrossAttnDownBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  @property
  def  lowerCAmelCase__ (      self			:       Dict  )				->int:
        return super().get_dummy_input(include_encoder_hidden_states=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->Any:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  super().prepare_init_args_and_inputs_for_common()
        UpperCAmelCase_            =  32
        return init_dict, inputs_dict






  @unittest.skipIf(torch_device == '''mps'''  ,							'''MPS result is not consistent'''  )
  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Dict:
        UpperCAmelCase_            =  [0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	SkipDownBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  @property
  def  lowerCAmelCase__ (      self			:       List[Any]  )				->Union[str, Any]:
        return super().get_dummy_input(include_skip_sample=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Optional[Any]:
        UpperCAmelCase_            =  [-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	AttnSkipDownBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  @property
  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->int:
        return super().get_dummy_input(include_skip_sample=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->str:
        UpperCAmelCase_            =  [0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	DownEncoderBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  @property
  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Optional[int]:
        return super().get_dummy_input(include_temb=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Union[str, Any]:
        UpperCAmelCase_            =  {
            '''in_channels''': 32,
            '''out_channels''': 32,
        }
        UpperCAmelCase_            =  self.dummy_input
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->str:
        UpperCAmelCase_            =  [1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	AttnDownEncoderBlockaD  # noqa F405
  lowerCAmelCase__										=	'''down'''






  @property
  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->str:
        return super().get_dummy_input(include_temb=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Dict:
        UpperCAmelCase_            =  {
            '''in_channels''': 32,
            '''out_channels''': 32,
        }
        UpperCAmelCase_            =  self.dummy_input
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       List[str]  )				->Optional[Any]:
        UpperCAmelCase_            =  [0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	UNetMidBlockaD  # noqa F405
  lowerCAmelCase__										=	'''mid'''






  def  lowerCAmelCase__ (      self			:       Any  )				->List[Any]:
        UpperCAmelCase_            =  {
            '''in_channels''': 32,
            '''temb_channels''': 128,
        }
        UpperCAmelCase_            =  self.dummy_input
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->Union[str, Any]:
        UpperCAmelCase_            =  [-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	UNetMidBlockaDCrossAttn  # noqa F405
  lowerCAmelCase__										=	'''mid'''






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->int:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  super().prepare_init_args_and_inputs_for_common()
        UpperCAmelCase_            =  32
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Tuple  )				->Tuple:
        UpperCAmelCase_            =  [0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	UNetMidBlockaDSimpleCrossAttn  # noqa F405
  lowerCAmelCase__										=	'''mid'''






  @property
  def  lowerCAmelCase__ (      self			:       List[str]  )				->str:
        return super().get_dummy_input(include_encoder_hidden_states=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Tuple:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  super().prepare_init_args_and_inputs_for_common()
        UpperCAmelCase_            =  32
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       List[str]  )				->int:
        UpperCAmelCase_            =  [0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	UpBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Any:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       str  )				->Dict:
        UpperCAmelCase_            =  [-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	ResnetUpsampleBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->Tuple:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Dict  )				->List[Any]:
        UpperCAmelCase_            =  [0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	CrossAttnUpBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       Dict  )				->Optional[Any]:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[int]  )				->List[str]:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  super().prepare_init_args_and_inputs_for_common()
        UpperCAmelCase_            =  32
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Any:
        UpperCAmelCase_            =  [-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	SimpleCrossAttnUpBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       int  )				->Any:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  ,							include_encoder_hidden_states=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       List[str]  )				->Optional[int]:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  super().prepare_init_args_and_inputs_for_common()
        UpperCAmelCase_            =  32
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Tuple  )				->List[Any]:
        UpperCAmelCase_            =  [0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	AttnUpBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       List[str]  )				->int:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  )






  @unittest.skipIf(torch_device == '''mps'''  ,							'''MPS result is not consistent'''  )
  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->List[str]:
        UpperCAmelCase_            =  [0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	SkipUpBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       List[Any]  )				->List[Any]:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       str  )				->Optional[int]:
        UpperCAmelCase_            =  [-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	AttnSkipUpBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Any:
        return super().get_dummy_input(include_res_hidden_states_tuple=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->Tuple:
        UpperCAmelCase_            =  [0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	UpDecoderBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       Any  )				->Optional[int]:
        return super().get_dummy_input(include_temb=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Dict  )				->Dict:
        UpperCAmelCase_            =  {'''in_channels''': 32, '''out_channels''': 32}

        UpperCAmelCase_            =  self.dummy_input
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       Any  )				->str:
        UpperCAmelCase_            =  [0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
        super().test_output(UpperCAmelCase__  )







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	AttnUpDecoderBlockaD  # noqa F405
  lowerCAmelCase__										=	'''up'''






  @property
  def  lowerCAmelCase__ (      self			:       str  )				->str:
        return super().get_dummy_input(include_temb=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[Any]  )				->List[str]:
        UpperCAmelCase_            =  {'''in_channels''': 32, '''out_channels''': 32}

        UpperCAmelCase_            =  self.dummy_input
        return init_dict, inputs_dict






  def  lowerCAmelCase__ (      self			:       int  )				->Tuple:
        UpperCAmelCase_            =  [0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
        super().test_output(UpperCAmelCase__  )






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

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors







@require_tokenizers
class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	MvpTokenizer
  lowerCAmelCase__										=	MvpTokenizerFast
  lowerCAmelCase__										=	True
  lowerCAmelCase__										=	filter_roberta_detectors






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->Tuple:
        super().setUp()
        UpperCAmelCase_            =  [
            '''l''',
            '''o''',
            '''w''',
            '''e''',
            '''r''',
            '''s''',
            '''t''',
            '''i''',
            '''d''',
            '''n''',
            '''\u0120''',
            '''\u0120l''',
            '''\u0120n''',
            '''\u0120lo''',
            '''\u0120low''',
            '''er''',
            '''\u0120lowest''',
            '''\u0120newer''',
            '''\u0120wider''',
            '''<unk>''',
        ]
        UpperCAmelCase_            =  dict(zip(UpperCAmelCase__  ,							range(len(UpperCAmelCase__  )  )  )  )
        UpperCAmelCase_            =  ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
        UpperCAmelCase_            =  {'''unk_token''': '''<unk>'''}

        UpperCAmelCase_            =  os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES['''vocab_file''']  )
        UpperCAmelCase_            =  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  lowerCAmelCase__ (      self			:       Tuple  ,							**UpperCAmelCase__			:       List[str]  )				->Dict:
        kwargs.update(self.special_tokens_map  )
        return self.tokenizer_class.from_pretrained(self.tmpdirname  ,							**UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Optional[int]  ,							**UpperCAmelCase__			:       int  )				->Tuple:
        kwargs.update(self.special_tokens_map  )
        return self.rust_tokenizer_class.from_pretrained(self.tmpdirname  ,							**UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  ,							UpperCAmelCase__			:       Optional[Any]  )				->Union[str, Any]:
        return "lower newer", "lower newer"






  @cached_property
  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->Optional[int]:
        return MvpTokenizer.from_pretrained('''RUCAIBox/mvp'''  )






  @cached_property
  def  lowerCAmelCase__ (      self			:       Tuple  )				->Tuple:
        return MvpTokenizerFast.from_pretrained('''RUCAIBox/mvp'''  )






  @require_torch
  def  lowerCAmelCase__ (      self			:       Any  )				->Dict:
        UpperCAmelCase_            =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
        UpperCAmelCase_            =  [0, 250, 251, 1_7818, 13, 3_9186, 1938, 4, 2]

        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase_            =  tokenizer(UpperCAmelCase__  ,							max_length=len(UpperCAmelCase__  )  ,							padding=UpperCAmelCase__  ,							return_tensors='''pt'''  )
              self.assertIsInstance(UpperCAmelCase__  ,							UpperCAmelCase__  )

              self.assertEqual((2, 9)  ,							batch.input_ids.shape  )
              self.assertEqual((2, 9)  ,							batch.attention_mask.shape  )
              UpperCAmelCase_            =  batch.input_ids.tolist()[0]
              self.assertListEqual(UpperCAmelCase__  ,							UpperCAmelCase__  )
              # Test that special tokens are reset






  @require_torch
  def  lowerCAmelCase__ (      self			:       str  )				->int:
        UpperCAmelCase_            =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase_            =  tokenizer(UpperCAmelCase__  ,							padding=UpperCAmelCase__  ,							return_tensors='''pt'''  )
              # check if input_ids are returned and no labels
              self.assertIn('''input_ids'''  ,							UpperCAmelCase__  )
              self.assertIn('''attention_mask'''  ,							UpperCAmelCase__  )
              self.assertNotIn('''labels'''  ,							UpperCAmelCase__  )
              self.assertNotIn('''decoder_attention_mask'''  ,							UpperCAmelCase__  )






  @require_torch
  def  lowerCAmelCase__ (      self			:       Tuple  )				->Optional[Any]:
        UpperCAmelCase_            =  [
            '''Summary of the text.''',
            '''Another summary.''',
        ]
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase_            =  tokenizer(text_target=UpperCAmelCase__  ,							max_length=32  ,							padding='''max_length'''  ,							return_tensors='''pt'''  )
              self.assertEqual(32  ,							targets['''input_ids'''].shape[1]  )






  @require_torch
  def  lowerCAmelCase__ (      self			:       List[str]  )				->int:
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase_            =  tokenizer(
                  ['''I am a small frog''' * 1024, '''I am a small frog''']  ,							padding=UpperCAmelCase__  ,							truncation=UpperCAmelCase__  ,							return_tensors='''pt'''  )
              self.assertIsInstance(UpperCAmelCase__  ,							UpperCAmelCase__  )
              self.assertEqual(batch.input_ids.shape  ,							(2, 1024)  )






  @require_torch
  def  lowerCAmelCase__ (      self			:       Dict  )				->Optional[int]:
        UpperCAmelCase_            =  ['''A long paragraph for summarization.''']
        UpperCAmelCase_            =  [
            '''Summary of the text.''',
        ]
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
              UpperCAmelCase_            =  tokenizer(UpperCAmelCase__  ,							text_target=UpperCAmelCase__  ,							return_tensors='''pt'''  )
              UpperCAmelCase_            =  inputs['''input_ids''']
              UpperCAmelCase_            =  inputs['''labels''']
              self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()  )
              self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()  )
              self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()  )
              self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()  )






  def  lowerCAmelCase__ (      self			:       str  )				->Optional[Any]:
        pass






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->Tuple:
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
                    UpperCAmelCase_            =  self.rust_tokenizer_class.from_pretrained(UpperCAmelCase__  ,							**UpperCAmelCase__  )
                    UpperCAmelCase_            =  self.tokenizer_class.from_pretrained(UpperCAmelCase__  ,							**UpperCAmelCase__  )
                    UpperCAmelCase_            =  '''A, <mask> AllenNLP sentence.'''
                    UpperCAmelCase_            =  tokenizer_r.encode_plus(UpperCAmelCase__  ,							add_special_tokens=UpperCAmelCase__  ,							return_token_type_ids=UpperCAmelCase__  )
                    UpperCAmelCase_            =  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''']  )  ,							)

                    UpperCAmelCase_            =  tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']  )
                    UpperCAmelCase_            =  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, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]  )
                    self.assertSequenceEqual(tokens_r['''input_ids''']  ,							[0, 250, 6, 5_0264, 3823, 487, 2_1992, 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>''']  )





