import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput



@dataclass
class     snake_case_			(						__A			):
   __A      :						float
   __A      :						Optional[float]   =							None
   __A      :						Optional[float]   =							None



class     snake_case_			(						unittest.TestCase			):






   def  __UpperCamelCase	( self							:	int    )   ->		str:
       lowercase__					:  List[Any]          =							ModelOutputTest(a=30    )
       self.assertEqual(x.a      ,		30    )
       self.assertIsNone(x.b    )
       self.assertIsNone(x.c    )
       with self.assertRaises(lowercase_    ):
           lowercase__					:  int          =							x.d






   def  __UpperCamelCase	( self							:	Tuple    )   ->		str:
       lowercase__					:  List[Any]          =							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)    )

       lowercase__					:  List[Any]          =							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  __UpperCamelCase	( self							:	int    )   ->		Optional[int]:
       lowercase__					:  int          =							ModelOutputTest(a=30      ,		b=10    )
       self.assertEqual(x["a"]      ,		30    )
       self.assertEqual(x["b"]      ,		10    )
       with self.assertRaises(lowercase_    ):
           lowercase__					:  List[str]          =							x["c"]

       lowercase__					:  Tuple          =							ModelOutputTest(a=30      ,		c=10    )
       self.assertEqual(x["a"]      ,		30    )
       self.assertEqual(x["c"]      ,		10    )
       with self.assertRaises(lowercase_    ):
           lowercase__					:  List[Any]          =							x["b"]






   def  __UpperCamelCase	( self							:	Dict    )   ->		Union[str, Any]:
       lowercase__					:  Dict          =							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(lowercase_    )      ,		["a"]    )

       lowercase__					:  Optional[int]          =							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(lowercase_    )      ,		["a", "b"]    )

       lowercase__					:  str          =							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(lowercase_    )      ,		["a", "c"]    )

       with self.assertRaises(lowercase_    ):
           lowercase__					:  Optional[Any]          =							x.update({"d": 20}    )
       with self.assertRaises(lowercase_    ):
           del x["a"]
       with self.assertRaises(lowercase_    ):
           lowercase__					:  List[str]          =							x.pop("a"    )
       with self.assertRaises(lowercase_    ):
           lowercase__					:  Any          =							x.setdefault("d"      ,		32    )






   def  __UpperCamelCase	( self							:	Dict    )   ->		str:
       lowercase__					:  Union[str, Any]          =							ModelOutputTest(a=30    )
       lowercase__					:  Union[str, Any]          =							10
       self.assertEqual(x.a      ,		10    )
       self.assertEqual(x["a"]      ,		10    )






   def  __UpperCamelCase	( self							:	Tuple    )   ->		Dict:
       lowercase__					:  Any          =							ModelOutputTest(a=30    )
       lowercase__					:  List[Any]          =							10
       self.assertEqual(x.a      ,		10    )
       self.assertEqual(x["a"]      ,		10    )






   def  __UpperCamelCase	( self							:	Union[str, Any]    )   ->		Any:
       lowercase__					:  List[str]          =							ModelOutputTest({"a": 30, "b": 10}    )
       self.assertEqual(list(x.keys()    )      ,		["a", "b"]    )
       self.assertEqual(x.a      ,		30    )
       self.assertEqual(x.b      ,		10    )







   def  __UpperCamelCase	( self							:	Optional[Any]    )   ->		Optional[int]:
       lowercase__					:  List[str]          =							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(lowercase_    ):
           lowercase__					:  Optional[int]          =							ModelOutputTest([("a", 30), (10, 10)]    )

       lowercase__					:  str          =							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


UpperCamelCase    				=		{'''configuration_dinat''': ['''DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DinatConfig''']}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		[
          '''DINAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''DinatForImageClassification''',
          '''DinatModel''',
          '''DinatPreTrainedModel''',
          '''DinatBackbone''',
      ]

if TYPE_CHECKING:
      from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_dinat import (
                DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DinatBackbone,
                DinatForImageClassification,
                DinatModel,
                DinatPreTrainedModel,
            )

else:
      import sys

      UpperCamelCase    				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



