


import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput



@dataclass
class 							lowercase__(						snake_case__			):






      '''simple docstring'''







      snake_case__       =					42
      snake_case__       =					None
      snake_case__       =					None




class 							lowercase__(						unittest.TestCase			):






      '''simple docstring'''







      def    UpperCAmelCase							(		self)					->						Dict:







         """simple docstring"""







         UpperCamelCase__ :			List[Any] 						=ModelOutputTest(a=30)
         self.assertEqual(x.a   ,			30)
         self.assertIsNone(x.b)
         self.assertIsNone(x.c)
         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			List[Any] 						=x.d




      def    UpperCAmelCase							(		self)					->						Optional[Any]:







         """simple docstring"""







         UpperCamelCase__ :			Dict 						=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__ :			Dict 						=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:







         """simple docstring"""







         UpperCamelCase__ :			str 						=ModelOutputTest(a=30   ,			b=10)
         self.assertEqual(x["a"]   ,			30)
         self.assertEqual(x["b"]   ,			10)
         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			List[Any] 						=x["c"]

         UpperCamelCase__ :			str 						=ModelOutputTest(a=30   ,			c=10)
         self.assertEqual(x["a"]   ,			30)
         self.assertEqual(x["c"]   ,			10)
         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			int 						=x["b"]




      def    UpperCAmelCase							(		self)					->						Any:







         """simple docstring"""







         UpperCamelCase__ :			Union[str, Any] 						=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(__SCREAMING_SNAKE_CASE)   ,			["a"])

         UpperCamelCase__ :			Dict 						=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(__SCREAMING_SNAKE_CASE)   ,			["a", "b"])

         UpperCamelCase__ :			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(__SCREAMING_SNAKE_CASE)   ,			["a", "c"])

         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			List[Any] 						=x.update({"d": 20})
         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            del x["a"]
         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			Dict 						=x.pop("a")
         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			List[Any] 						=x.setdefault("d"   ,			32)




      def    UpperCAmelCase							(		self)					->						Dict:







         """simple docstring"""







         UpperCamelCase__ :			str 						=ModelOutputTest(a=30)
         UpperCamelCase__ :			int 						=10
         self.assertEqual(x.a   ,			10)
         self.assertEqual(x["a"]   ,			10)




      def    UpperCAmelCase							(		self)					->						List[str]:







         """simple docstring"""







         UpperCamelCase__ :			Dict 						=ModelOutputTest(a=30)
         UpperCamelCase__ :			List[Any] 						=10
         self.assertEqual(x.a   ,			10)
         self.assertEqual(x["a"]   ,			10)




      def    UpperCAmelCase							(		self)					->						Any:







         """simple docstring"""







         UpperCamelCase__ :			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)					->						int:







         """simple docstring"""







         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)

         with self.assertRaises(__SCREAMING_SNAKE_CASE):
            UpperCamelCase__ :			List[Any] 						=ModelOutputTest([("a", 30), (10, 10)])

         UpperCamelCase__ :			Any 						=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_sew_d""": ["""SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWDConfig"""]}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __UpperCAmelCase      			=  [
         """SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """SEWDForCTC""",
         """SEWDForSequenceClassification""",
         """SEWDModel""",
         """SEWDPreTrainedModel""",
     ]

if TYPE_CHECKING:
     from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_sew_d import (
              SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
              SEWDForCTC,
              SEWDForSequenceClassification,
              SEWDModel,
              SEWDPreTrainedModel,
          )


else:
     import sys

     __UpperCAmelCase      			=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

