



from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class       a							(			__lowerCamelCase				):
		__lowerCAmelCase	:    str											=					["""image_processor""", """tokenizer"""]
		__lowerCAmelCase	:    Any											=					"""AutoImageProcessor"""
		__lowerCAmelCase	:    str											=					"""AutoTokenizer"""



		def __init__(     self     :Any   ,__lowercase     :Union[str, Any]   ,__lowercase     :Optional[int]  ):
						super().__init__(__lowercase   ,__lowercase  )
						snake_case__	:      Optional[Any]     		=	self.image_processor



		def __call__(     self     :List[str]   ,__lowercase     :int=None   ,__lowercase     :Any=None   ,__lowercase     :Tuple=None   ,**__lowercase     :Union[str, Any]  ):

						if text is None and images is None:
										raise ValueError('''You have to specify either text or images. Both cannot be none.'''  )

						if text is not None:
										snake_case__	:      List[Any]     		=	self.tokenizer(__lowercase   ,return_tensors=__lowercase   ,**__lowercase  )

						if images is not None:
										snake_case__	:      Dict     		=	self.image_processor(__lowercase   ,return_tensors=__lowercase   ,**__lowercase  )

						if text is not None and images is not None:
										snake_case__	:      Dict     		=	image_features.pixel_values
										return encoding
						elif text is not None:
										return encoding
						else:
										return BatchEncoding(data=dict(**__lowercase  )   ,tensor_type=__lowercase  )



		def 	__lowerCamelCase			(     self     :str   ,*__lowercase     :Tuple   ,**__lowercase     :Any  ):
						return self.tokenizer.batch_decode(*__lowercase   ,**__lowercase  )



		def 	__lowerCamelCase			(     self     :Optional[int]   ,*__lowercase     :Union[str, Any]   ,**__lowercase     :List[str]  ):
						return self.tokenizer.decode(*__lowercase   ,**__lowercase  )






		@property
		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						return ["input_ids", "attention_mask", "pixel_values"]






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
				import torch

				from transformers.activations import gelu_new, gelu_python, get_activation


@require_torch
class       a							(			unittest.TestCase				):



		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						snake_case__	:      Union[str, Any]     		=	torch.tensor([-1_0_0, -1, -0.1, 0, 0.1, 1.0, 1_0_0]  )
						snake_case__	:      int     		=	get_activation('''gelu'''  )
						self.assertTrue(torch.allclose(gelu_python(__lowercase  )   ,torch_builtin(__lowercase  )  )  )
						self.assertFalse(torch.allclose(gelu_python(__lowercase  )   ,gelu_new(__lowercase  )  )  )



		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						snake_case__	:      List[Any]     		=	torch.tensor([-1_0_0, -1, -0.1, 0, 0.1, 1.0, 1_0_0]  )
						snake_case__	:      Union[str, Any]     		=	get_activation('''gelu'''  )
						snake_case__	:      int     		=	get_activation('''gelu_10'''  )

						snake_case__	:      Optional[int]     		=	torch_builtin(__lowercase  )
						snake_case__	:      str     		=	geluaa(__lowercase  )

						snake_case__	:      Tuple     		=	torch.where(y_gelu_aa < 10.0   ,1   ,0  )

						self.assertTrue(torch.max(__lowercase  ).item() == 10.0  )
						self.assertTrue(torch.allclose(y_gelu * clipped_mask   ,y_gelu_aa * clipped_mask  )  )



		def 	__lowerCamelCase			(     self     :Any  ):
						get_activation('''gelu'''  )
						get_activation('''gelu_10'''  )
						get_activation('''gelu_fast'''  )
						get_activation('''gelu_new'''  )
						get_activation('''gelu_python'''  )
						get_activation('''gelu_pytorch_tanh'''  )
						get_activation('''linear'''  )
						get_activation('''mish'''  )
						get_activation('''quick_gelu'''  )
						get_activation('''relu'''  )
						get_activation('''sigmoid'''  )
						get_activation('''silu'''  )
						get_activation('''swish'''  )
						get_activation('''tanh'''  )
						with self.assertRaises(__lowercase  ):
										get_activation('''bogus'''  )
						with self.assertRaises(__lowercase  ):
										get_activation(__lowercase  )






		def 	__lowerCamelCase			(     self     :Optional[int]  ):
						snake_case__	:      str     		=	get_activation('''gelu'''  )
						snake_case__	:      List[Any]     		=	1
						snake_case__	:      Optional[Any]     		=	get_activation('''gelu'''  )
						self.assertEqual(acta.a   ,1  )
						with self.assertRaises(__lowercase  ):
										snake_case__	:      str     		=	acta.a

