



import unittest

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

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 (
						    LayoutLMForMaskedLM,
						    LayoutLMForQuestionAnswering,
						    LayoutLMForSequenceClassification,
						    LayoutLMForTokenClassification,
						    LayoutLMModel,
						)







class 			snake_case__:







						'''simple docstring'''




						def __init__(			self				,  __lowercase				,  __lowercase=1_3				,  __lowercase=7				,  __lowercase=True				,  __lowercase=True				,  __lowercase=True				,  __lowercase=True				,  __lowercase=9_9				,  __lowercase=3_2				,  __lowercase=5				,  __lowercase=4				,  __lowercase=3_7				,  __lowercase="gelu"				,  __lowercase=0.1				,  __lowercase=0.1				,  __lowercase=5_1_2				,  __lowercase=1_6				,  __lowercase=2				,  __lowercase=0.02				,  __lowercase=3				,  __lowercase=4				,  __lowercase=None				,  __lowercase=1_0_0_0				,  )   ->      int:
										lowerCAmelCase_	: Any      			=			parent
										lowerCAmelCase_	: Union[str, Any]      			=			batch_size
										lowerCAmelCase_	: int      			=			seq_length
										lowerCAmelCase_	: List[Any]      			=			is_training
										lowerCAmelCase_	: Any      			=			use_input_mask
										lowerCAmelCase_	: List[Any]      			=			use_token_type_ids
										lowerCAmelCase_	: Optional[int]      			=			use_labels
										lowerCAmelCase_	: Union[str, Any]      			=			vocab_size
										lowerCAmelCase_	: Optional[int]      			=			hidden_size
										lowerCAmelCase_	: List[str]      			=			num_hidden_layers
										lowerCAmelCase_	: Optional[int]      			=			num_attention_heads
										lowerCAmelCase_	: Optional[Any]      			=			intermediate_size
										lowerCAmelCase_	: Union[str, Any]      			=			hidden_act
										lowerCAmelCase_	: Optional[int]      			=			hidden_dropout_prob
										lowerCAmelCase_	: Optional[Any]      			=			attention_probs_dropout_prob
										lowerCAmelCase_	: Optional[int]      			=			max_position_embeddings
										lowerCAmelCase_	: int      			=			type_vocab_size
										lowerCAmelCase_	: Optional[Any]      			=			type_sequence_label_size
										lowerCAmelCase_	: int      			=			initializer_range
										lowerCAmelCase_	: Union[str, Any]      			=			num_labels
										lowerCAmelCase_	: str      			=			num_choices
										lowerCAmelCase_	: int      			=			scope
										lowerCAmelCase_	: Any      			=			range_bbox




						def   lowercase_	(			self							)   ->      Any:
										lowerCAmelCase_	: Optional[Any]      			=			ids_tensor([self.batch_size, self.seq_length]				,  self.vocab_size							)

										lowerCAmelCase_	: Dict      			=			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]:
																						lowerCAmelCase_	: Tuple      			=			bbox[i, j, 3]
																						lowerCAmelCase_	: List[Any]      			=			bbox[i, j, 1]
																						lowerCAmelCase_	: Tuple      			=			t
																		if bbox[i, j, 2] < bbox[i, j, 0]:
																						lowerCAmelCase_	: int      			=			bbox[i, j, 2]
																						lowerCAmelCase_	: str      			=			bbox[i, j, 0]
																						lowerCAmelCase_	: Optional[int]      			=			t

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

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

										lowerCAmelCase_	: Dict      			=			None
										lowerCAmelCase_	: Union[str, Any]      			=			None
										lowerCAmelCase_	: List[str]      			=			None
										if self.use_labels:
														lowerCAmelCase_	: Union[str, Any]      			=			ids_tensor([self.batch_size]				,  self.type_sequence_label_size							)
														lowerCAmelCase_	: Dict      			=			ids_tensor([self.batch_size, self.seq_length]				,  self.num_labels							)
														lowerCAmelCase_	: Dict      			=			ids_tensor([self.batch_size]				,  self.num_choices							)

										lowerCAmelCase_	: Union[str, Any]      			=			self.get_config()

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




						def   lowercase_	(			self							)   ->      Dict:
										return LayoutLMConfig(
										    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   lowercase_	(			self				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase							)   ->      str:
										lowerCAmelCase_	: Any      			=			LayoutLMModel(config=UpperCamelCase__							)
										model.to(UpperCamelCase__							)
										model.eval()
										lowerCAmelCase_	: Any      			=			model(UpperCamelCase__				,  UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__							)
										lowerCAmelCase_	: Union[str, Any]      			=			model(UpperCamelCase__				,  UpperCamelCase__				,  token_type_ids=UpperCamelCase__							)
										lowerCAmelCase_	: Tuple      			=			model(UpperCamelCase__				,  UpperCamelCase__							)
										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   lowercase_	(			self				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase							)   ->      int:
										lowerCAmelCase_	: Any      			=			LayoutLMForMaskedLM(config=UpperCamelCase__							)
										model.to(UpperCamelCase__							)
										model.eval()
										lowerCAmelCase_	: Tuple      			=			model(UpperCamelCase__				,  UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__				,  labels=UpperCamelCase__							)
										self.parent.assertEqual(result.logits.shape				,  (self.batch_size, self.seq_length, self.vocab_size)							)




						def   lowercase_	(			self				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase							)   ->      List[str]:
										lowerCAmelCase_	: Any      			=			self.num_labels
										lowerCAmelCase_	: Dict      			=			LayoutLMForSequenceClassification(UpperCamelCase__							)
										model.to(UpperCamelCase__							)
										model.eval()
										lowerCAmelCase_	: str      			=			model(
										    UpperCamelCase__				,  UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__				,  labels=UpperCamelCase__							)
										self.parent.assertEqual(result.logits.shape				,  (self.batch_size, self.num_labels)							)




						def   lowercase_	(			self				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase							)   ->      Dict:
										lowerCAmelCase_	: Tuple      			=			self.num_labels
										lowerCAmelCase_	: Any      			=			LayoutLMForTokenClassification(config=UpperCamelCase__							)
										model.to(UpperCamelCase__							)
										model.eval()
										lowerCAmelCase_	: Optional[int]      			=			model(UpperCamelCase__				,  UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__				,  labels=UpperCamelCase__							)
										self.parent.assertEqual(result.logits.shape				,  (self.batch_size, self.seq_length, self.num_labels)							)




						def   lowercase_	(			self				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase				,  __lowercase							)   ->      Tuple:
										lowerCAmelCase_	: Optional[int]      			=			LayoutLMForQuestionAnswering(config=UpperCamelCase__							)
										model.to(UpperCamelCase__							)
										model.eval()
										lowerCAmelCase_	: Optional[int]      			=			model(
										    UpperCamelCase__				,  bbox=UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__				,  start_positions=UpperCamelCase__				,  end_positions=UpperCamelCase__				,  )
										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   lowercase_	(			self							)   ->      str:
										lowerCAmelCase_	: Union[str, Any]      			=			self.prepare_config_and_inputs()
										(
										    lowerCAmelCase_				
										)	: List[Any]      			=			config_and_inputs
										lowerCAmelCase_	: int      			=			{
										    "input_ids": input_ids,
										    "bbox": bbox,
										    "token_type_ids": token_type_ids,
										    "attention_mask": input_mask,
										}
										return config, inputs_dict







@require_torch
class 			snake_case__(							lowerCAmelCase__,  lowerCAmelCase__,  unittest.TestCase							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							(
						    (
						        LayoutLMModel,
						        LayoutLMForMaskedLM,
						        LayoutLMForSequenceClassification,
						        LayoutLMForTokenClassification,
						        LayoutLMForQuestionAnswering,
						    )
						    if is_torch_available()
						    else None
						)
						SCREAMING_SNAKE_CASE__ :					Any   =							(
						    {
						        """document-question-answering""": LayoutLMForQuestionAnswering,
						        """feature-extraction""": LayoutLMModel,
						        """fill-mask""": LayoutLMForMaskedLM,
						        """text-classification""": LayoutLMForSequenceClassification,
						        """token-classification""": LayoutLMForTokenClassification,
						        """zero-shot""": LayoutLMForSequenceClassification,
						    }
						    if is_torch_available()
						    else {}
						)
						SCREAMING_SNAKE_CASE__ :					Any   =							True




						def   lowercase_	(			self							)   ->      Optional[int]:
										lowerCAmelCase_	: Any      			=			LayoutLMModelTester(self							)
										lowerCAmelCase_	: Tuple      			=			ConfigTester(self				,  config_class=UpperCamelCase__				,  hidden_size=3_7							)




						def   lowercase_	(			self							)   ->      List[str]:
										self.config_tester.run_common_tests()




						def   lowercase_	(			self							)   ->      Optional[int]:
										lowerCAmelCase_	: List[Any]      			=			self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_model(*UpperCamelCase__							)




						def   lowercase_	(			self							)   ->      List[Any]:
										lowerCAmelCase_	: List[str]      			=			self.model_tester.prepare_config_and_inputs()
										for type in ["absolute", "relative_key", "relative_key_query"]:
														lowerCAmelCase_	: Optional[Any]      			=			type
														self.model_tester.create_and_check_model(*UpperCamelCase__							)




						def   lowercase_	(			self							)   ->      Any:
										lowerCAmelCase_	: List[str]      			=			self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_for_masked_lm(*UpperCamelCase__							)




						def   lowercase_	(			self							)   ->      Dict:
										lowerCAmelCase_	: Union[str, Any]      			=			self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_for_sequence_classification(*UpperCamelCase__							)




						def   lowercase_	(			self							)   ->      Optional[int]:
										lowerCAmelCase_	: int      			=			self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_for_token_classification(*UpperCamelCase__							)




						def   lowercase_	(			self							)   ->      Union[str, Any]:
										lowerCAmelCase_	: List[Any]      			=			self.model_tester.prepare_config_and_inputs()
										self.model_tester.create_and_check_for_question_answering(*UpperCamelCase__							)




						@unittest.skip('''Will be fixed soon by reducing the size of the model used for common tests.'''							)
						def   lowercase_	(			self							)   ->      Tuple:
										pass






def      lowerCAmelCase	(						)->	str:
				# Here we prepare a batch of 2 sequences to test a LayoutLM forward pass on:
				# fmt: off
				lowerCAmelCase_	: str      			=			torch.tensor([[101,1_019,1_014,1_016,1_037,12_849,4_747,1_004,14_246,2_278,5_439,4_524,5_002,2_930,2_193,2_930,4_341,3_208,1_005,1_055,2_171,2_848,11_300,3_531,102],[101,4_070,4_034,7_020,1_024,3_058,1_015,1_013,2_861,1_013,6_070,19_274,2_772,6_205,27_814,16_147,16_147,4_343,2_047,10_283,10_969,14_389,1_012,2_338,102]]	,				device=_SCREAMING_SNAKE_CASE	)  # noqa: E231
				lowerCAmelCase_	: str      			=			torch.tensor([[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],]	,				device=_SCREAMING_SNAKE_CASE	)  # noqa: E231
				lowerCAmelCase_	: Union[str, Any]      			=			torch.tensor([[[0,0,0,0],[423,237,440,251],[427,272,441,287],[419,115,437,129],[961,885,992,912],[256,38,330,58],[256,38,330,58],[336,42,353,57],[360,39,401,56],[360,39,401,56],[411,39,471,59],[479,41,528,59],[533,39,630,60],[67,113,134,131],[141,115,209,132],[68,149,133,166],[141,149,187,164],[195,148,287,165],[195,148,287,165],[195,148,287,165],[295,148,349,165],[441,149,492,166],[497,149,546,164],[64,201,125,218],[1_000,1_000,1_000,1_000]],[[0,0,0,0],[662,150,754,166],[665,199,742,211],[519,213,554,228],[519,213,554,228],[134,433,187,454],[130,467,204,480],[130,467,204,480],[130,467,204,480],[130,467,204,480],[130,467,204,480],[314,469,376,482],[504,684,582,706],[941,825,973,900],[941,825,973,900],[941,825,973,900],[941,825,973,900],[610,749,652,765],[130,659,168,672],[176,657,237,672],[238,657,312,672],[443,653,628,672],[443,653,628,672],[716,301,825,317],[1_000,1_000,1_000,1_000]]]	,				device=_SCREAMING_SNAKE_CASE	)  # noqa: E231
				lowerCAmelCase_	: str      			=			torch.tensor([[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]]	,				device=_SCREAMING_SNAKE_CASE	)  # noqa: E231
				# these are sequence labels (i.e. at the token level)
				lowerCAmelCase_	: Optional[int]      			=			torch.tensor([[-100,10,10,10,9,1,-100,7,7,-100,7,7,4,2,5,2,8,8,-100,-100,5,0,3,2,-100],[-100,12,12,12,-100,12,10,-100,-100,-100,-100,10,12,9,-100,-100,-100,10,10,10,9,12,-100,10,-100]]	,				device=_SCREAMING_SNAKE_CASE	)  # noqa: E231
				# fmt: on

				return input_ids, attention_mask, bbox, token_type_ids, labels







@require_torch
class 			snake_case__(							unittest.TestCase							):







						'''simple docstring'''




						@slow
						def   lowercase_	(			self							)   ->      Optional[int]:
										lowerCAmelCase_	: List[str]      			=			LayoutLMModel.from_pretrained('''microsoft/layoutlm-base-uncased'''							).to(UpperCamelCase__							)

										lowerCAmelCase_	: Optional[int]      			=			prepare_layoutlm_batch_inputs()

										# forward pass
										lowerCAmelCase_	: Dict      			=			model(input_ids=UpperCamelCase__				,  bbox=UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__							)

										# test the sequence output on [0, :3, :3]
										lowerCAmelCase_	: Any      			=			torch.tensor(
										    [[0.17_85, -0.19_47, -0.04_25], [-0.32_54, -0.28_07, 0.25_53], [-0.53_91, -0.33_22, 0.33_64]]				,  device=UpperCamelCase__				,  )

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

										# test the pooled output on [1, :3]
										lowerCAmelCase_	: str      			=			torch.tensor([-0.65_80, -0.02_14, 0.85_52]				,  device=UpperCamelCase__							)

										self.assertTrue(torch.allclose(outputs.pooler_output[1, :3]				,  UpperCamelCase__				,  atol=1e-3							)							)




						@slow
						def   lowercase_	(			self							)   ->      List[str]:
										# initialize model with randomly initialized sequence classification head
										lowerCAmelCase_	: Dict      			=			LayoutLMForSequenceClassification.from_pretrained('''microsoft/layoutlm-base-uncased'''				,  num_labels=2							).to(
										    UpperCamelCase__							)

										lowerCAmelCase_	: Any      			=			prepare_layoutlm_batch_inputs()

										# forward pass
										lowerCAmelCase_	: Optional[Any]      			=			model(
										    input_ids=UpperCamelCase__				,  bbox=UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__				,  labels=torch.tensor([1, 1]				,  device=UpperCamelCase__							)				,  )

										# test whether we get a loss as a scalar
										lowerCAmelCase_	: Tuple      			=			outputs.loss
										lowerCAmelCase_	: Any      			=			torch.Size([]							)
										self.assertEqual(loss.shape				,  UpperCamelCase__							)

										# test the shape of the logits
										lowerCAmelCase_	: Tuple      			=			outputs.logits
										lowerCAmelCase_	: List[Any]      			=			torch.Size((2, 2)							)
										self.assertEqual(logits.shape				,  UpperCamelCase__							)




						@slow
						def   lowercase_	(			self							)   ->      str:
										# initialize model with randomly initialized token classification head
										lowerCAmelCase_	: Dict      			=			LayoutLMForTokenClassification.from_pretrained('''microsoft/layoutlm-base-uncased'''				,  num_labels=1_3							).to(
										    UpperCamelCase__							)

										lowerCAmelCase_	: Optional[int]      			=			prepare_layoutlm_batch_inputs()

										# forward pass
										lowerCAmelCase_	: List[Any]      			=			model(
										    input_ids=UpperCamelCase__				,  bbox=UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__				,  labels=UpperCamelCase__							)

										# test the loss calculation to be around 2.65
										# expected_loss = torch.tensor(2.65, device=torch_device)

										# The loss is currently somewhat random and can vary between 0.1-0.3 atol.
										# self.assertTrue(torch.allclose(outputs.loss, expected_loss, atol=0.1))

										# test the shape of the logits
										lowerCAmelCase_	: Optional[Any]      			=			outputs.logits
										lowerCAmelCase_	: Any      			=			torch.Size((2, 2_5, 1_3)							)
										self.assertEqual(logits.shape				,  UpperCamelCase__							)




						@slow
						def   lowercase_	(			self							)   ->      Optional[int]:
										# initialize model with randomly initialized token classification head
										lowerCAmelCase_	: Any      			=			LayoutLMForQuestionAnswering.from_pretrained('''microsoft/layoutlm-base-uncased'''							).to(UpperCamelCase__							)

										lowerCAmelCase_	: Tuple      			=			prepare_layoutlm_batch_inputs()

										# forward pass
										lowerCAmelCase_	: str      			=			model(input_ids=UpperCamelCase__				,  bbox=UpperCamelCase__				,  attention_mask=UpperCamelCase__				,  token_type_ids=UpperCamelCase__							)

										# test the shape of the logits
										lowerCAmelCase_	: Dict      			=			torch.Size((2, 2_5)							)
										self.assertEqual(outputs.start_logits.shape				,  UpperCamelCase__							)
										self.assertEqual(outputs.end_logits.shape				,  UpperCamelCase__							)



from ..utils import DummyObject, requires_backends







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Tuple   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Any   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Tuple   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      str:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[int]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      str:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Dict:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[int]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[int]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Dict:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Tuple   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[int]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[int]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Dict:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[str]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      str:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Any   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[str]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[str]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[int]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      str:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      str:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Tuple   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      str:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[str]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Any   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[int]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[int]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Tuple   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[int]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[str]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					str   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Dict:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Tuple:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Dict   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Optional[int]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      int:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Union[str, Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Union[str, Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[str]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[str]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Any:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[int]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					Tuple   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      List[Any]:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					int   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Dict:
										requires_backends(self				,  ['''vision''']							)







class 			snake_case__(							metaclass=UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__ :					List[Any]   =							["""vision"""]




						def __init__(			self				,  *__lowercase				,  **__lowercase							)   ->      Optional[Any]:
										requires_backends(self				,  ['''vision''']							)