



import unittest

from transformers import LiltConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device

from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
				import torch

				from transformers import (
				    LiltForQuestionAnswering,
				    LiltForSequenceClassification,
				    LiltForTokenClassification,
				    LiltModel,
				)
				from transformers.models.lilt.modeling_lilt import LILT_PRETRAINED_MODEL_ARCHIVE_LIST


class       a							:



		def __init__(     self     :List[str]   ,__lowercase     :Optional[Any]   ,__lowercase     :str=1_3   ,__lowercase     :List[str]=7   ,__lowercase     :List[Any]=True   ,__lowercase     :Dict=True   ,__lowercase     :int=True   ,__lowercase     :Union[str, Any]=True   ,__lowercase     :List[str]=9_9   ,__lowercase     :Optional[Any]=2_4   ,__lowercase     :Optional[Any]=2   ,__lowercase     :str=6   ,__lowercase     :Dict=3_7   ,__lowercase     :Any="gelu"   ,__lowercase     :str=0.1   ,__lowercase     :int=0.1   ,__lowercase     :int=5_1_2   ,__lowercase     :Union[str, Any]=1_6   ,__lowercase     :Tuple=2   ,__lowercase     :Any=0.02   ,__lowercase     :Tuple=3   ,__lowercase     :List[str]=None   ,__lowercase     :Union[str, Any]=1_0_0_0   ,):
						snake_case__	:      List[Any]     		=	parent
						snake_case__	:      Optional[int]     		=	batch_size
						snake_case__	:      Any     		=	seq_length
						snake_case__	:      List[str]     		=	is_training
						snake_case__	:      Union[str, Any]     		=	use_input_mask
						snake_case__	:      List[Any]     		=	use_token_type_ids
						snake_case__	:      int     		=	use_labels
						snake_case__	:      str     		=	vocab_size
						snake_case__	:      List[str]     		=	hidden_size
						snake_case__	:      Tuple     		=	num_hidden_layers
						snake_case__	:      List[Any]     		=	num_attention_heads
						snake_case__	:      Any     		=	intermediate_size
						snake_case__	:      Tuple     		=	hidden_act
						snake_case__	:      Tuple     		=	hidden_dropout_prob
						snake_case__	:      Tuple     		=	attention_probs_dropout_prob
						snake_case__	:      Tuple     		=	max_position_embeddings
						snake_case__	:      Tuple     		=	type_vocab_size
						snake_case__	:      str     		=	type_sequence_label_size
						snake_case__	:      Tuple     		=	initializer_range
						snake_case__	:      int     		=	num_labels
						snake_case__	:      Union[str, Any]     		=	scope
						snake_case__	:      str     		=	range_bbox



		def 	__lowerCamelCase			(     self     :Tuple  ):
						snake_case__	:      List[str]     		=	ids_tensor([self.batch_size, self.seq_length]   ,self.vocab_size  )

						snake_case__	:      str     		=	ids_tensor([self.batch_size, self.seq_length, 4]   ,self.range_bbox  )
						# Ensure that bbox is legal
						for i in range(bbox.shape[0]  ):
										for j in range(bbox.shape[1]  ):
														if bbox[i, j, 3] < bbox[i, j, 1]:
																		snake_case__	:      Tuple     		=	bbox[i, j, 3]
																		snake_case__	:      List[str]     		=	bbox[i, j, 1]
																		snake_case__	:      Dict     		=	t
														if bbox[i, j, 2] < bbox[i, j, 0]:
																		snake_case__	:      Optional[Any]     		=	bbox[i, j, 2]
																		snake_case__	:      Tuple     		=	bbox[i, j, 0]
																		snake_case__	:      str     		=	t

						snake_case__	:      Dict     		=	None
						if self.use_input_mask:
										snake_case__	:      Union[str, Any]     		=	ids_tensor([self.batch_size, self.seq_length]   ,vocab_size=2  )

						snake_case__	:      Union[str, Any]     		=	None
						if self.use_token_type_ids:
										snake_case__	:      Any     		=	ids_tensor([self.batch_size, self.seq_length]   ,self.type_vocab_size  )

						snake_case__	:      List[str]     		=	None
						snake_case__	:      Optional[Any]     		=	None
						if self.use_labels:
										snake_case__	:      Tuple     		=	ids_tensor([self.batch_size]   ,self.type_sequence_label_size  )
										snake_case__	:      str     		=	ids_tensor([self.batch_size, self.seq_length]   ,self.num_labels  )

						snake_case__	:      List[Any]     		=	self.get_config()

						return config, input_ids, bbox, token_type_ids, input_mask, sequence_labels, token_labels



		def 	__lowerCamelCase			(     self     :Optional[Any]  ):
						return LiltConfig(
						    vocab_size=self.vocab_size   ,hidden_size=self.hidden_size   ,num_hidden_layers=self.num_hidden_layers   ,num_attention_heads=self.num_attention_heads   ,intermediate_size=self.intermediate_size   ,hidden_act=self.hidden_act   ,hidden_dropout_prob=self.hidden_dropout_prob   ,attention_probs_dropout_prob=self.attention_probs_dropout_prob   ,max_position_embeddings=self.max_position_embeddings   ,type_vocab_size=self.type_vocab_size   ,initializer_range=self.initializer_range   ,)



		def 	__lowerCamelCase			(     self     :str   ,__lowercase     :int   ,__lowercase     :List[Any]   ,__lowercase     :Union[str, Any]   ,__lowercase     :Optional[Any]   ,__lowercase     :List[Any]   ,__lowercase     :Union[str, Any]   ,__lowercase     :List[str]   ,):
						snake_case__	:      int     		=	LiltModel(config=__lowercase  )
						model.to(__lowercase  )
						model.eval()
						snake_case__	:      Dict     		=	model(__lowercase   ,bbox=__lowercase   ,attention_mask=__lowercase   ,token_type_ids=__lowercase  )
						snake_case__	:      Optional[Any]     		=	model(__lowercase   ,bbox=__lowercase   ,token_type_ids=__lowercase  )
						snake_case__	:      List[Any]     		=	model(__lowercase   ,bbox=__lowercase  )

						self.parent.assertEqual(result.last_hidden_state.shape   ,(self.batch_size, self.seq_length, self.hidden_size)  )
						self.parent.assertEqual(result.pooler_output.shape   ,(self.batch_size, self.hidden_size)  )



		def 	__lowerCamelCase			(     self     :Optional[int]   ,__lowercase     :List[str]   ,__lowercase     :int   ,__lowercase     :Any   ,__lowercase     :Union[str, Any]   ,__lowercase     :Union[str, Any]   ,__lowercase     :Any   ,__lowercase     :Optional[Any]   ,):
						snake_case__	:      int     		=	self.num_labels
						snake_case__	:      List[Any]     		=	LiltForTokenClassification(config=__lowercase  )
						model.to(__lowercase  )
						model.eval()
						snake_case__	:      Tuple     		=	model(
						    __lowercase   ,bbox=__lowercase   ,attention_mask=__lowercase   ,token_type_ids=__lowercase   ,labels=__lowercase  )
						self.parent.assertEqual(result.logits.shape   ,(self.batch_size, self.seq_length, self.num_labels)  )



		def 	__lowerCamelCase			(     self     :int   ,__lowercase     :Optional[Any]   ,__lowercase     :List[str]   ,__lowercase     :Union[str, Any]   ,__lowercase     :Tuple   ,__lowercase     :Optional[Any]   ,__lowercase     :List[Any]   ,__lowercase     :Union[str, Any]   ,):
						snake_case__	:      int     		=	LiltForQuestionAnswering(config=__lowercase  )
						model.to(__lowercase  )
						model.eval()
						snake_case__	:      Optional[int]     		=	model(
						    __lowercase   ,bbox=__lowercase   ,attention_mask=__lowercase   ,token_type_ids=__lowercase   ,start_positions=__lowercase   ,end_positions=__lowercase   ,)
						self.parent.assertEqual(result.start_logits.shape   ,(self.batch_size, self.seq_length)  )
						self.parent.assertEqual(result.end_logits.shape   ,(self.batch_size, self.seq_length)  )






		def 	__lowerCamelCase			(     self     :str  ):
						snake_case__	:      Tuple     		=	self.prepare_config_and_inputs()
						(
						    (
						    snake_case__
						)		, (
						    snake_case__
						)		, (
						    snake_case__
						)		, (
						    snake_case__
						)		, (
						    snake_case__
						)		, (
						    snake_case__
						)		, (
						    snake_case__
						)		, 
						)	:      Optional[Any]     		=	config_and_inputs
						snake_case__	:      int     		=	{
						    '''input_ids''': input_ids,
						    '''bbox''': bbox,
						    '''token_type_ids''': token_type_ids,
						    '''attention_mask''': input_mask,
						}
						return config, inputs_dict


@require_torch
class       a							(			__lowerCamelCase  ,							__lowerCamelCase  ,							__lowerCamelCase  ,							unittest.TestCase				):
		__lowerCAmelCase	:    str											=					(
		    (
		        LiltModel,
		        LiltForSequenceClassification,
		        LiltForTokenClassification,
		        LiltForQuestionAnswering,
		    )
		    if is_torch_available()
		    else ()
		)
		__lowerCAmelCase	:    Any											=					(
		    {
		        """feature-extraction""": LiltModel,
		        """question-answering""": LiltForQuestionAnswering,
		        """text-classification""": LiltForSequenceClassification,
		        """token-classification""": LiltForTokenClassification,
		        """zero-shot""": LiltForSequenceClassification,
		    }
		    if is_torch_available()
		    else {}
		)
		__lowerCAmelCase	:    int											=					False
		__lowerCAmelCase	:    Dict											=					False



		def 	__lowerCamelCase			(     self     :Tuple   ,__lowercase     :List[Any]   ,__lowercase     :Optional[int]   ,__lowercase     :List[Any]   ,__lowercase     :int   ,__lowercase     :Any  ):
						return True



		def 	__lowerCamelCase			(     self     :List[Any]  ):
						snake_case__	:      Optional[int]     		=	LiltModelTester(self  )
						snake_case__	:      str     		=	ConfigTester(self   ,config_class=__lowercase   ,hidden_size=3_7  )



		def 	__lowerCamelCase			(     self     :List[str]  ):
						self.config_tester.run_common_tests()



		def 	__lowerCamelCase			(     self     :Dict  ):
						snake_case__	:      Optional[Any]     		=	self.model_tester.prepare_config_and_inputs()
						self.model_tester.create_and_check_model(*__lowercase  )



		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						snake_case__	:      str     		=	self.model_tester.prepare_config_and_inputs()
						for type in ["absolute", "relative_key", "relative_key_query"]:
										snake_case__	:      List[str]     		=	type
										self.model_tester.create_and_check_model(*__lowercase  )



		def 	__lowerCamelCase			(     self     :str  ):
						snake_case__	:      List[Any]     		=	self.model_tester.prepare_config_and_inputs()
						self.model_tester.create_and_check_for_token_classification(*__lowercase  )



		def 	__lowerCamelCase			(     self     :str  ):
						snake_case__	:      Dict     		=	self.model_tester.prepare_config_and_inputs()
						self.model_tester.create_and_check_for_question_answering(*__lowercase  )






		@slow
		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						for model_name in LILT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
										snake_case__	:      Optional[int]     		=	LiltModel.from_pretrained(__lowercase  )
										self.assertIsNotNone(__lowercase  )


@require_torch
@slow
class       a							(			unittest.TestCase				):



		def 	__lowerCamelCase			(     self     :Any  ):
						snake_case__	:      int     		=	LiltModel.from_pretrained('''SCUT-DLVCLab/lilt-roberta-en-base'''  ).to(__lowercase  )

						snake_case__	:      Tuple     		=	torch.tensor([[1, 2]]   ,device=__lowercase  )
						snake_case__	:      int     		=	torch.tensor([[[1, 2, 3, 4], [5, 6, 7, 8]]]   ,device=__lowercase  )

						# forward pass
						with torch.no_grad():
										snake_case__	:      Optional[int]     		=	model(input_ids=__lowercase   ,bbox=__lowercase  )

						snake_case__	:      List[str]     		=	torch.Size([1, 2, 7_6_8]  )
						snake_case__	:      Tuple     		=	torch.tensor(
						    [[-0.0653, 0.0950, -0.0061], [-0.0545, 0.0926, -0.0324]]   ,device=__lowercase   ,)

						self.assertTrue(outputs.last_hidden_state.shape   ,__lowercase  )
						self.assertTrue(torch.allclose(outputs.last_hidden_state[0, :, :3]   ,__lowercase   ,atol=1e-3  )  )






import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class       a							(			__lowerCamelCase  ,							unittest.TestCase				):
		__lowerCAmelCase	:    int											=					BertTokenizer
		__lowerCAmelCase	:    int											=					BertTokenizerFast
		__lowerCAmelCase	:    int											=					True
		__lowerCAmelCase	:    List[Any]											=					True
		__lowerCAmelCase	:    Any											=					filter_non_english



		def 	__lowerCamelCase			(     self     :str  ):
						super().setUp()

						snake_case__	:      str     		=	[
						    '''[UNK]''',
						    '''[CLS]''',
						    '''[SEP]''',
						    '''[PAD]''',
						    '''[MASK]''',
						    '''want''',
						    '''##want''',
						    '''##ed''',
						    '''wa''',
						    '''un''',
						    '''runn''',
						    '''##ing''',
						    ''',''',
						    '''low''',
						    '''lowest''',
						]
						snake_case__	:      str     		=	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     :List[str]   ,__lowercase     :str  ):
						snake_case__	:      List[Any]     		=	'''UNwant\u00E9d,running'''
						snake_case__	:      str     		=	'''unwanted, running'''
						return input_text, output_text



		def 	__lowerCamelCase			(     self     :Optional[int]  ):
						snake_case__	:      str     		=	self.tokenizer_class(self.vocab_file  )

						snake_case__	:      str     		=	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     :List[str]  ):
						if not self.test_rust_tokenizer:
										return

						snake_case__	:      str     		=	self.get_tokenizer()
						snake_case__	:      Dict     		=	self.get_rust_tokenizer()

						snake_case__	:      List[Any]     		=	'''UNwant\u00E9d,running'''

						snake_case__	:      Dict     		=	tokenizer.tokenize(__lowercase  )
						snake_case__	:      int     		=	rust_tokenizer.tokenize(__lowercase  )
						self.assertListEqual(__lowercase   ,__lowercase  )

						snake_case__	:      List[str]     		=	tokenizer.encode(__lowercase   ,add_special_tokens=__lowercase  )
						snake_case__	:      List[str]     		=	rust_tokenizer.encode(__lowercase   ,add_special_tokens=__lowercase  )
						self.assertListEqual(__lowercase   ,__lowercase  )

						snake_case__	:      Optional[Any]     		=	self.get_rust_tokenizer()
						snake_case__	:      List[Any]     		=	tokenizer.encode(__lowercase  )
						snake_case__	:      Dict     		=	rust_tokenizer.encode(__lowercase  )
						self.assertListEqual(__lowercase   ,__lowercase  )

						# With lower casing
						snake_case__	:      List[Any]     		=	self.get_tokenizer(do_lower_case=__lowercase  )
						snake_case__	:      Optional[int]     		=	self.get_rust_tokenizer(do_lower_case=__lowercase  )

						snake_case__	:      int     		=	'''UNwant\u00E9d,running'''

						snake_case__	:      List[str]     		=	tokenizer.tokenize(__lowercase  )
						snake_case__	:      Union[str, Any]     		=	rust_tokenizer.tokenize(__lowercase  )
						self.assertListEqual(__lowercase   ,__lowercase  )

						snake_case__	:      int     		=	tokenizer.encode(__lowercase   ,add_special_tokens=__lowercase  )
						snake_case__	:      List[str]     		=	rust_tokenizer.encode(__lowercase   ,add_special_tokens=__lowercase  )
						self.assertListEqual(__lowercase   ,__lowercase  )

						snake_case__	:      Tuple     		=	self.get_rust_tokenizer()
						snake_case__	:      int     		=	tokenizer.encode(__lowercase  )
						snake_case__	:      Dict     		=	rust_tokenizer.encode(__lowercase  )
						self.assertListEqual(__lowercase   ,__lowercase  )



		def 	__lowerCamelCase			(     self     :Tuple  ):
						snake_case__	:      Optional[Any]     		=	BasicTokenizer()

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



		def 	__lowerCamelCase			(     self     :Any  ):
						snake_case__	:      Dict     		=	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     :List[str]  ):
						snake_case__	:      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     :str  ):
						snake_case__	:      Union[str, Any]     		=	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     :Optional[Any]  ):
						snake_case__	:      Union[str, 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]  ):
						snake_case__	:      str     		=	BasicTokenizer(do_lower_case=__lowercase  )

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



		def 	__lowerCamelCase			(     self     :Tuple  ):
						snake_case__	:      Any     		=	BasicTokenizer(do_lower_case=__lowercase   ,strip_accents=__lowercase  )

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



		def 	__lowerCamelCase			(     self     :int  ):
						snake_case__	:      str     		=	BasicTokenizer(do_lower_case=__lowercase   ,strip_accents=__lowercase  )

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



		def 	__lowerCamelCase			(     self     :Tuple  ):
						snake_case__	:      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     :Dict  ):
						snake_case__	:      List[str]     		=	BasicTokenizer()
						snake_case__	:      Any     		=	'''a\n\'ll !!to?\'d of, can\'t.'''
						snake_case__	:      Optional[int]     		=	['''a''', '''\'''', '''ll''', '''!''', '''!''', '''to''', '''?''', '''\'''', '''d''', '''of''', ''',''', '''can''', '''\'''', '''t''', '''.''']
						self.assertListEqual(tokenizer.tokenize(__lowercase  )   ,__lowercase  )



		def 	__lowerCamelCase			(     self     :List[str]  ):
						snake_case__	:      Any     		=	['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

						snake_case__	:      Optional[Any]     		=	{}
						for i, token in enumerate(__lowercase  ):
										snake_case__	:      Dict     		=	i
						snake_case__	:      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     :List[Any]  ):
						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     :Union[str, Any]  ):
						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     :str  ):
						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     :List[str]  ):
						snake_case__	:      str     		=	self.get_tokenizer()
						snake_case__	:      List[str]     		=	self.get_rust_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]''']]  )

						self.assertListEqual(
						    [rust_tokenizer.tokenize(__lowercase  ) for t in ['''Test''', '''\xad''', '''test''']]   ,[['''[UNK]'''], [], ['''[UNK]''']]  )



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

						snake_case__	:      Union[str, Any]     		=	tokenizer.encode('''sequence builders'''   ,add_special_tokens=__lowercase  )
						snake_case__	:      str     		=	tokenizer.encode('''multi-sequence build'''   ,add_special_tokens=__lowercase  )

						snake_case__	:      Tuple     		=	tokenizer.build_inputs_with_special_tokens(__lowercase  )
						snake_case__	:      int     		=	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     :List[Any]  ):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
														snake_case__	:      str     		=	self.rust_tokenizer_class.from_pretrained(__lowercase   ,**__lowercase  )

														snake_case__	:      List[str]     		=	F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
														snake_case__	:      List[Any]     		=	tokenizer_r.encode_plus(
														    __lowercase   ,return_attention_mask=__lowercase   ,return_token_type_ids=__lowercase   ,return_offsets_mapping=__lowercase   ,add_special_tokens=__lowercase   ,)

														snake_case__	:      List[str]     		=	tokenizer_r.do_lower_case if hasattr(__lowercase   ,'''do_lower_case'''  ) else False
														snake_case__	:      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''']  )






		def 	__lowerCamelCase			(     self     :List[str]  ):
						snake_case__	:      str     		=	['''的''', '''人''', '''有''']
						snake_case__	:      Optional[int]     		=	''''''.join(__lowercase  )
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
														snake_case__	:      Optional[Any]     		=	True
														snake_case__	:      int     		=	self.tokenizer_class.from_pretrained(__lowercase   ,**__lowercase  )
														snake_case__	:      Tuple     		=	self.rust_tokenizer_class.from_pretrained(__lowercase   ,**__lowercase  )

														snake_case__	:      Union[str, Any]     		=	tokenizer_p.encode(__lowercase   ,add_special_tokens=__lowercase  )
														snake_case__	:      List[str]     		=	tokenizer_r.encode(__lowercase   ,add_special_tokens=__lowercase  )

														snake_case__	:      List[str]     		=	tokenizer_r.convert_ids_to_tokens(__lowercase  )
														snake_case__	:      Optional[Any]     		=	tokenizer_p.convert_ids_to_tokens(__lowercase  )

														# it is expected that each Chinese character is not preceded by "##"
														self.assertListEqual(__lowercase   ,__lowercase  )
														self.assertListEqual(__lowercase   ,__lowercase  )

														snake_case__	:      str     		=	False
														snake_case__	:      Dict     		=	self.rust_tokenizer_class.from_pretrained(__lowercase   ,**__lowercase  )
														snake_case__	:      int     		=	self.tokenizer_class.from_pretrained(__lowercase   ,**__lowercase  )

														snake_case__	:      int     		=	tokenizer_r.encode(__lowercase   ,add_special_tokens=__lowercase  )
														snake_case__	:      Tuple     		=	tokenizer_p.encode(__lowercase   ,add_special_tokens=__lowercase  )

														snake_case__	:      List[Any]     		=	tokenizer_r.convert_ids_to_tokens(__lowercase  )
														snake_case__	:      Union[str, Any]     		=	tokenizer_p.convert_ids_to_tokens(__lowercase  )

														# it is expected that only the first Chinese character is not preceded by "##".
														snake_case__	:      Optional[int]     		=	[
														    F"""##{token}""" if idx != 0 else token for idx, token in enumerate(__lowercase  )
														]
														self.assertListEqual(__lowercase   ,__lowercase  )
														self.assertListEqual(__lowercase   ,__lowercase  )

