




import inspect
import unittest

import numpy as np

from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor


if is_flax_available():
		import jax

		from transformers.models.vit.modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel

class 						__lowerCAmelCase      (      unittest.TestCase					):
							def __init__(		self		:Optional[Any]						, __magic_name__		:str						, __magic_name__		:Union[str, Any]=13						, __magic_name__		:List[str]=30						, __magic_name__		:Optional[int]=2						, __magic_name__		:List[Any]=3						, __magic_name__		:int=True						, __magic_name__		:Union[str, Any]=True						, __magic_name__		:int=32						, __magic_name__		:Tuple=5						, __magic_name__		:Optional[int]=4						, __magic_name__		:Optional[int]=37						, __magic_name__		:List[Any]="gelu"						, __magic_name__		:int=0.1						, __magic_name__		:Union[str, Any]=0.1						, __magic_name__		:Optional[Any]=10						, __magic_name__		:Union[str, Any]=0.02						, ):







								'''simple docstring'''







								a									=				parent
								a									=				batch_size
								a									=				image_size
								a									=				patch_size
								a									=				num_channels
								a									=				is_training
								a									=				use_labels
								a									=				hidden_size
								a									=				num_hidden_layers
								a									=				num_attention_heads
								a									=				intermediate_size
								a									=				hidden_act
								a									=				hidden_dropout_prob
								a									=				attention_probs_dropout_prob
								a									=				type_sequence_label_size
								a									=				initializer_range

								# in ViT, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
								a									=				(image_size // patch_size) ** 2
								a									=				num_patches + 1
							def  lowerCamelCase__				(		self		:int							):







								'''simple docstring'''







								a									=				floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]							)

								a									=				ViTConfig(
								    image_size=self.image_size						, patch_size=self.patch_size						, num_channels=self.num_channels						, 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						, is_decoder=__magic_name__						, initializer_range=self.initializer_range						, )

								return config, pixel_values
							def  lowerCamelCase__				(		self		:Optional[int]						, __magic_name__		:str						, __magic_name__		:List[Any]							):







								'''simple docstring'''







								a									=				FlaxViTModel(config=__magic_name__							)
								a									=				model(__magic_name__							)
								# expected sequence length = num_patches + 1 (we add 1 for the [CLS] token)
								a									=				(self.image_size, self.image_size)
								a									=				(self.patch_size, self.patch_size)
								a									=				(image_size[1] // patch_size[1]) * (image_size[0] // patch_size[0])
								self.parent.assertEqual(result.last_hidden_state.shape						, (self.batch_size, num_patches + 1, self.hidden_size)							)
							def  lowerCamelCase__				(		self		:Tuple						, __magic_name__		:Tuple						, __magic_name__		:Any							):







								'''simple docstring'''







								a									=				self.type_sequence_label_size
								a									=				FlaxViTForImageClassification(config=__magic_name__							)
								a									=				model(__magic_name__							)
								self.parent.assertEqual(result.logits.shape						, (self.batch_size, self.type_sequence_label_size)							)

								# test greyscale images
								a									=				1
								a									=				FlaxViTForImageClassification(__magic_name__							)

								a									=				floats_tensor([self.batch_size, 1, self.image_size, self.image_size]							)
								a									=				model(__magic_name__							)





							def  lowerCamelCase__				(		self		:Dict							):







								'''simple docstring'''







								a									=				self.prepare_config_and_inputs()
								(
								    (
								    a
								)							,					(
								    a
								)							,					
								)									=				config_and_inputs
								a									=				{"""pixel_values""": pixel_values}
								return config, inputs_dict







@require_flax
class 						__lowerCAmelCase      (      __magic_name__ ,			unittest.TestCase					):
							UpperCamelCase__   	=    (FlaxViTModel, FlaxViTForImageClassification) if is_flax_available() else ()
							def  lowerCamelCase__				(		self		:List[str]							):







								'''simple docstring'''







								a									=				FlaxViTModelTester(self							)
								a									=				ConfigTester(self						, config_class=__magic_name__						, has_text_modality=__magic_name__						, hidden_size=37							)
							def  lowerCamelCase__				(		self		:int							):







								'''simple docstring'''







								self.config_tester.run_common_tests()
							def  lowerCamelCase__				(		self		:Optional[int]							):







								'''simple docstring'''







								a									=				self.model_tester.prepare_config_and_inputs()
								self.model_tester.create_and_check_model(*__magic_name__							)
							def  lowerCamelCase__				(		self		:Any							):







								'''simple docstring'''







								a									=				self.model_tester.prepare_config_and_inputs()
								self.model_tester.create_and_check_for_image_classification(*__magic_name__							)
							def  lowerCamelCase__				(		self		:Tuple							):







								'''simple docstring'''







								a							,					a									=				self.model_tester.prepare_config_and_inputs_for_common()

								for model_class in self.all_model_classes:
									a									=				model_class(__magic_name__							)
									a									=				inspect.signature(model.__call__							)
									# signature.parameters is an OrderedDict => so arg_names order is deterministic
									a									=				[*signature.parameters.keys()]

									a									=				["""pixel_values"""]
									self.assertListEqual(arg_names[:1]						, __magic_name__							)
							def  lowerCamelCase__				(		self		:List[str]							):







								'''simple docstring'''







								a							,					a									=				self.model_tester.prepare_config_and_inputs_for_common()

								for model_class in self.all_model_classes:
									with self.subTest(model_class.__name__							):
										a									=				self._prepare_for_class(__magic_name__						, __magic_name__							)
										a									=				model_class(__magic_name__							)

										@jax.jit
										def model_jitted(__magic_name__		:str						, **__magic_name__		:Any							):
											return model(pixel_values=__magic_name__						, **__magic_name__							)

										with self.subTest("""JIT Enabled"""							):
											a									=				model_jitted(**__magic_name__							).to_tuple()

										with self.subTest("""JIT Disabled"""							):
											with jax.disable_jit():
												a									=				model_jitted(**__magic_name__							).to_tuple()

										self.assertEqual(len(__magic_name__							)						, len(__magic_name__							)							)
										for jitted_output, output in zip(__magic_name__						, __magic_name__							):
											self.assertEqual(jitted_output.shape						, output.shape							)





							@slow
							def  lowerCamelCase__				(		self		:Any							):







								'''simple docstring'''







								for model_class_name in self.all_model_classes:
									a									=				model_class_name.from_pretrained("""google/vit-base-patch16-224"""							)
									a									=				model(np.ones((1, 3, 224, 224)							)							)
									self.assertIsNotNone(__magic_name__							)







import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version





def 						__A						(      *__lowerCamelCase				,     __lowerCamelCase = None				,     __lowerCamelCase=True				,     __lowerCamelCase=2       ) ->			Dict:
	from .. import __version__

	a									=				take_from
	a									=				()
	if not isinstance(args[0]				,     __lowerCamelCase       ):
		a									=				(args,)

	for attribute, version_name, message in args:
		if version.parse(version.parse(__lowerCamelCase       ).base_version       ) >= version.parse(__lowerCamelCase       ):
			raise ValueError(
			    f'The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''
			    f' version {__version__} is >= {version_name}'       )

		a									=				None
		if isinstance(__lowerCamelCase				,     __lowerCamelCase       ) and attribute in deprecated_kwargs:
			values += (deprecated_kwargs.pop(__lowerCamelCase       ),)
			a									=				f'The `{attribute}` argument is deprecated and will be removed in version {version_name}.'
		elif hasattr(__lowerCamelCase				,     __lowerCamelCase       ):
			values += (getattr(__lowerCamelCase				,     __lowerCamelCase       ),)
			a									=				f'The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'
		elif deprecated_kwargs is None:
			a									=				f'`{attribute}` is deprecated and will be removed in version {version_name}.'

		if warning is not None:
			a									=				warning + """ """ if standard_warn else """"""
			warnings.warn(warning + message				,     __lowerCamelCase				,     stacklevel=__lowerCamelCase       )

	if isinstance(__lowerCamelCase				,     __lowerCamelCase       ) and len(__lowerCamelCase       ) > 0:
		a									=				inspect.getouterframes(inspect.currentframe()       )[1]
		a									=				call_frame.filename
		a									=				call_frame.lineno
		a									=				call_frame.function
		a							,					a									=				next(iter(deprecated_kwargs.items()       )       )
		raise TypeError(f'{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`'       )

	if len(__lowerCamelCase       ) == 0:
		return
	elif len(__lowerCamelCase       ) == 1:
		return values[0]
	return values

