code: 
  
  
  
  '''simple docstring'''
  
  
  
  import unittest
  from dataclasses import dataclass
  from typing import Optional
  
  from transformers.utils import ModelOutput
  @dataclass
  class        UpperCAmelCase__  (    UpperCAmelCase_):
   __SCREAMING_SNAKE_CASE					      =				42
   __SCREAMING_SNAKE_CASE					      =				None
   __SCREAMING_SNAKE_CASE					      =				None
  
  
  class        UpperCAmelCase__  (    unittest.TestCase):
  
  
  
   def    __lowerCamelCase				(  self			)  ->							Any:
    __UpperCamelCase				      =  ModelOutputTest(a=3_0			)
    self.assertEqual(x.a		,	3_0			)
    self.assertIsNone(x.b			)
    self.assertIsNone(x.c			)
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  x.d
  
  
  
   def    __lowerCamelCase				(  self			)  ->							Optional[int]:
    __UpperCamelCase				      =  ModelOutputTest(a=3_0		,	b=1_0			)
    self.assertEqual(x[0]		,	3_0			)
    self.assertEqual(x[1]		,	1_0			)
    self.assertEqual(x[:2]		,	(3_0, 1_0)			)
    self.assertEqual(x[:]		,	(3_0, 1_0)			)
  
    __UpperCamelCase				      =  ModelOutputTest(a=3_0		,	c=1_0			)
    self.assertEqual(x[0]		,	3_0			)
    self.assertEqual(x[1]		,	1_0			)
    self.assertEqual(x[:2]		,	(3_0, 1_0)			)
    self.assertEqual(x[:]		,	(3_0, 1_0)			)
  
  
  
   def    __lowerCamelCase				(  self			)  ->							Any:
    __UpperCamelCase				      =  ModelOutputTest(a=3_0		,	b=1_0			)
    self.assertEqual(x["""a"""]		,	3_0			)
    self.assertEqual(x["""b"""]		,	1_0			)
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  x["""c"""]
  
    __UpperCamelCase				      =  ModelOutputTest(a=3_0		,	c=1_0			)
    self.assertEqual(x["""a"""]		,	3_0			)
    self.assertEqual(x["""c"""]		,	1_0			)
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  x["""b"""]
  
  
  
   def    __lowerCamelCase				(  self			)  ->							List[Any]:
    __UpperCamelCase				      =  ModelOutputTest(a=3_0			)
    self.assertEqual(list(x.keys()			)		,	["""a"""]			)
    self.assertEqual(list(x.values()			)		,	[3_0]			)
    self.assertEqual(list(x.items()			)		,	[("""a""", 3_0)]			)
    self.assertEqual(list(lowercase			)		,	["""a"""]			)
  
    __UpperCamelCase				      =  ModelOutputTest(a=3_0		,	b=1_0			)
    self.assertEqual(list(x.keys()			)		,	["""a""", """b"""]			)
    self.assertEqual(list(x.values()			)		,	[3_0, 1_0]			)
    self.assertEqual(list(x.items()			)		,	[("""a""", 3_0), ("""b""", 1_0)]			)
    self.assertEqual(list(lowercase			)		,	["""a""", """b"""]			)
  
    __UpperCamelCase				      =  ModelOutputTest(a=3_0		,	c=1_0			)
    self.assertEqual(list(x.keys()			)		,	["""a""", """c"""]			)
    self.assertEqual(list(x.values()			)		,	[3_0, 1_0]			)
    self.assertEqual(list(x.items()			)		,	[("""a""", 3_0), ("""c""", 1_0)]			)
    self.assertEqual(list(lowercase			)		,	["""a""", """c"""]			)
  
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  x.update({"""d""": 2_0}			)
    with self.assertRaises(lowercase			):
     del x["a"]
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  x.pop("""a"""			)
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  x.setdefault("""d"""		,	3_2			)
  
  
  
   def    __lowerCamelCase				(  self			)  ->							Optional[int]:
    __UpperCamelCase				      =  ModelOutputTest(a=3_0			)
    __UpperCamelCase				      =  1_0
    self.assertEqual(x.a		,	1_0			)
    self.assertEqual(x["""a"""]		,	1_0			)
  
  
  
   def    __lowerCamelCase				(  self			)  ->							List[str]:
    __UpperCamelCase				      =  ModelOutputTest(a=3_0			)
    __UpperCamelCase				      =  1_0
    self.assertEqual(x.a		,	1_0			)
    self.assertEqual(x["""a"""]		,	1_0			)
  
  
  
   def    __lowerCamelCase				(  self			)  ->							Tuple:
    __UpperCamelCase				      =  ModelOutputTest({"""a""": 3_0, """b""": 1_0}			)
    self.assertEqual(list(x.keys()			)		,	["""a""", """b"""]			)
    self.assertEqual(x.a		,	3_0			)
    self.assertEqual(x.b		,	1_0			)
  
  
  
  
   def    __lowerCamelCase				(  self			)  ->							Tuple:
    __UpperCamelCase				      =  ModelOutputTest([("""a""", 3_0), ("""b""", 1_0)]			)
    self.assertEqual(list(x.keys()			)		,	["""a""", """b"""]			)
    self.assertEqual(x.a		,	3_0			)
    self.assertEqual(x.b		,	1_0			)
  
    with self.assertRaises(lowercase			):
     __UpperCamelCase				      =  ModelOutputTest([("""a""", 3_0), (1_0, 1_0)]			)
  
    __UpperCamelCase				      =  ModelOutputTest(a=(3_0, 3_0)			)
    self.assertEqual(list(x.keys()			)		,	["""a"""]			)
    self.assertEqual(x.a		,	(3_0, 3_0)			)
  
  
  
  
  
  
style_context: 
  
  
  
  '''simple docstring'''
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  a__						:			Optional[int]										=			{
      'configuration_bark': [
          'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'BarkCoarseConfig',
          'BarkConfig',
          'BarkFineConfig',
          'BarkSemanticConfig',
      ],
      'processing_bark': ['BarkProcessor'],
  }
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   a__						:			Any										=			[
       'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
       'BarkFineModel',
       'BarkSemanticModel',
       'BarkCoarseModel',
       'BarkModel',
       'BarkPreTrainedModel',
       'BarkCausalModel',
   ]
  
  if TYPE_CHECKING:
   from .configuration_bark import (
       BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
       BarkCoarseConfig,
       BarkConfig,
       BarkFineConfig,
       BarkSemanticConfig,
   )
   from .processing_bark import BarkProcessor
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_bark import (
        BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
        BarkCausalModel,
        BarkCoarseModel,
        BarkFineModel,
        BarkModel,
        BarkPreTrainedModel,
        BarkSemanticModel,
    )
  
  else:
   import sys
  
   a__						:			Tuple										=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  
  
  
  