


import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput



@dataclass
class    __lowercase  (       UpperCamelCase							):

							"""simple docstring"""


							SCREAMING_SNAKE_CASE   :					float
							SCREAMING_SNAKE_CASE   :					Optional[float]        =						None
							SCREAMING_SNAKE_CASE   :					Optional[float]        =						None







class    __lowercase  (       unittest.TestCase							):

							"""simple docstring"""


							def 		__magic_name__			(    self	)->	Dict:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30	)
											self.assertEqual(x.a				, 30	)
											self.assertIsNone(x.b	)
											self.assertIsNone(x.c	)
											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = x.d





							def 		__magic_name__			(    self	)->	int:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30				, b=10	)
											self.assertEqual(x[0]				, 30	)
											self.assertEqual(x[1]				, 10	)
											self.assertEqual(x[:2]				, (30, 10)	)
											self.assertEqual(x[:]				, (30, 10)	)

											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30				, c=10	)
											self.assertEqual(x[0]				, 30	)
											self.assertEqual(x[1]				, 10	)
											self.assertEqual(x[:2]				, (30, 10)	)
											self.assertEqual(x[:]				, (30, 10)	)





							def 		__magic_name__			(    self	)->	Tuple:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30				, b=10	)
											self.assertEqual(x['a']				, 30	)
											self.assertEqual(x['b']				, 10	)
											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = x['c']

											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30				, c=10	)
											self.assertEqual(x['a']				, 30	)
											self.assertEqual(x['c']				, 10	)
											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = x['b']





							def 		__magic_name__			(    self	)->	Dict:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30	)
											self.assertEqual(list(x.keys()	)				, ['a']	)
											self.assertEqual(list(x.values()	)				, [30]	)
											self.assertEqual(list(x.items()	)				, [('a', 30)]	)
											self.assertEqual(list(A_	)				, ['a']	)

											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30				, b=10	)
											self.assertEqual(list(x.keys()	)				, ['a', 'b']	)
											self.assertEqual(list(x.values()	)				, [30, 10]	)
											self.assertEqual(list(x.items()	)				, [('a', 30), ('b', 10)]	)
											self.assertEqual(list(A_	)				, ['a', 'b']	)

											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30				, c=10	)
											self.assertEqual(list(x.keys()	)				, ['a', 'c']	)
											self.assertEqual(list(x.values()	)				, [30, 10]	)
											self.assertEqual(list(x.items()	)				, [('a', 30), ('c', 10)]	)
											self.assertEqual(list(A_	)				, ['a', 'c']	)

											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = x.update({'d': 20}	)
											with self.assertRaises(A_	):
															del x["a"]
											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = x.pop('a'	)
											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = x.setdefault('d'				, 32	)





							def 		__magic_name__			(    self	)->	int:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30	)
											_SCREAMING_SNAKE_CASE      = 10
											self.assertEqual(x.a				, 10	)
											self.assertEqual(x['a']				, 10	)





							def 		__magic_name__			(    self	)->	Union[str, Any]:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=30	)
											_SCREAMING_SNAKE_CASE      = 10
											self.assertEqual(x.a				, 10	)
											self.assertEqual(x['a']				, 10	)





							def 		__magic_name__			(    self	)->	Tuple:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest({'a': 30, 'b': 10}	)
											self.assertEqual(list(x.keys()	)				, ['a', 'b']	)
											self.assertEqual(x.a				, 30	)
											self.assertEqual(x.b				, 10	)





							def 		__magic_name__			(    self	)->	Optional[int]:
											_SCREAMING_SNAKE_CASE      = ModelOutputTest([('a', 30), ('b', 10)]	)
											self.assertEqual(list(x.keys()	)				, ['a', 'b']	)
											self.assertEqual(x.a				, 30	)
											self.assertEqual(x.b				, 10	)

											with self.assertRaises(A_	):
															_SCREAMING_SNAKE_CASE      = ModelOutputTest([('a', 30), (10, 10)]	)

											_SCREAMING_SNAKE_CASE      = ModelOutputTest(a=(30, 30)	)
											self.assertEqual(list(x.keys()	)				, ['a']	)
											self.assertEqual(x.a				, (30, 30)	)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


snake_case			:      Optional[int] 							=   {'configuration_vit_hybrid': ['VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTHybridConfig']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case			:      int 							=   [
							    'VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'ViTHybridForImageClassification',
							    'ViTHybridModel',
							    'ViTHybridPreTrainedModel',
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case			:      Any 							=   ['ViTHybridImageProcessor']


if TYPE_CHECKING:
							from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_hybrid import (
														    VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTHybridForImageClassification,
														    ViTHybridModel,
														    ViTHybridPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
							import sys

							snake_case			:      Optional[int] 							=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
