






import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput
@dataclass
class    a   (			lowercase__       ):



      """simple docstring"""


      a  :			float
      a  :			Optional[float]								=     None
      a  :			Optional[float]								=     None


class    a   (			unittest.TestCase       ):



      """simple docstring"""


      def      UpperCAmelCase				(				self :      Optional[Any] )							->				List[str]:
        __UpperCAmelCase							:     Dict									=  ModelOutputTest(a=30 )
        self.assertEqual(x.a		,				30 )
        self.assertIsNone(x.b )
        self.assertIsNone(x.c )
        with self.assertRaises(__lowercase ):
          __UpperCAmelCase							:     int									=  x.d
      def      UpperCAmelCase				(				self :      Union[str, Any] )							->				int:
        __UpperCAmelCase							:     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) )

        __UpperCAmelCase							:     Optional[int]									=  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 :      Optional[int] )							->				Dict:
        __UpperCAmelCase							:     int									=  ModelOutputTest(a=30		,				b=10 )
        self.assertEqual(x["""a"""]		,				30 )
        self.assertEqual(x["""b"""]		,				10 )
        with self.assertRaises(__lowercase ):
          __UpperCAmelCase							:     int									=  x["""c"""]

        __UpperCAmelCase							:     List[Any]									=  ModelOutputTest(a=30		,				c=10 )
        self.assertEqual(x["""a"""]		,				30 )
        self.assertEqual(x["""c"""]		,				10 )
        with self.assertRaises(__lowercase ):
          __UpperCAmelCase							:     int									=  x["""b"""]
      def      UpperCAmelCase				(				self :      List[Any] )							->				Any:
        __UpperCAmelCase							:     int									=  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"""] )

        __UpperCAmelCase							:     str									=  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"""] )

        __UpperCAmelCase							:     List[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 ):
          __UpperCAmelCase							:     Union[str, Any]									=  x.update({"""d""": 20} )
        with self.assertRaises(__lowercase ):
          del x["a"]
        with self.assertRaises(__lowercase ):
          __UpperCAmelCase							:     Optional[int]									=  x.pop("""a""" )
        with self.assertRaises(__lowercase ):
          __UpperCAmelCase							:     str									=  x.setdefault("""d"""		,				32 )
      def      UpperCAmelCase				(				self :      int )							->				Tuple:
        __UpperCAmelCase							:     Tuple									=  ModelOutputTest(a=30 )
        __UpperCAmelCase							:     Optional[Any]									=  10
        self.assertEqual(x.a		,				10 )
        self.assertEqual(x["""a"""]		,				10 )
      def      UpperCAmelCase				(				self :      Tuple )							->				List[Any]:
        __UpperCAmelCase							:     List[Any]									=  ModelOutputTest(a=30 )
        __UpperCAmelCase							:     List[str]									=  10
        self.assertEqual(x.a		,				10 )
        self.assertEqual(x["""a"""]		,				10 )
      def      UpperCAmelCase				(				self :      List[str] )							->				Optional[Any]:
        __UpperCAmelCase							:     Optional[int]									=  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 :      List[Any] )							->				Any:
        __UpperCAmelCase							:     List[Any]									=  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 ):
          __UpperCAmelCase							:     Any									=  ModelOutputTest([("""a""", 30), (10, 10)] )

        __UpperCAmelCase							:     List[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, is_vision_available


a		:	Any      					=			{
    "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Optional[int]      					=			["DetaImageProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:	Tuple      					=			[
           "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DetaForObjectDetection",
           "DetaModel",
           "DetaPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_deta import DetaImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deta import (
                  DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DetaForObjectDetection,
                  DetaModel,
                  DetaPreTrainedModel,
              )

else:
       import sys

       a		:	Any      					=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


