from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_snake_case			=						{
    '''configuration_bart''': ['''BART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BartConfig''', '''BartOnnxConfig'''],
    '''tokenization_bart''': ['''BartTokenizer'''],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case			=						['''BartTokenizerFast''']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case			=						[
				    '''BART_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''BartForCausalLM''',
				    '''BartForConditionalGeneration''',
				    '''BartForQuestionAnswering''',
				    '''BartForSequenceClassification''',
				    '''BartModel''',
				    '''BartPretrainedModel''',
				    '''PretrainedBartModel''',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case			=						[
				    '''TFBartForConditionalGeneration''',
				    '''TFBartForSequenceClassification''',
				    '''TFBartModel''',
				    '''TFBartPretrainedModel''',
				]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case			=						[
				    '''FlaxBartDecoderPreTrainedModel''',
				    '''FlaxBartForCausalLM''',
				    '''FlaxBartForConditionalGeneration''',
				    '''FlaxBartForQuestionAnswering''',
				    '''FlaxBartForSequenceClassification''',
				    '''FlaxBartModel''',
				    '''FlaxBartPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_bart import BART_PRETRAINED_CONFIG_ARCHIVE_MAP, BartConfig, BartOnnxConfig
				from .tokenization_bart import BartTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_bart_fast import BartTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_bart import (
								    BART_PRETRAINED_MODEL_ARCHIVE_LIST,
								    BartForCausalLM,
								    BartForConditionalGeneration,
								    BartForQuestionAnswering,
								    BartForSequenceClassification,
								    BartModel,
								    BartPretrainedModel,
								    PretrainedBartModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_bart import (
								    TFBartForConditionalGeneration,
								    TFBartForSequenceClassification,
								    TFBartModel,
								    TFBartPretrainedModel,
								)

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_bart import (
								    FlaxBartDecoderPreTrainedModel,
								    FlaxBartForCausalLM,
								    FlaxBartForConditionalGeneration,
								    FlaxBartForQuestionAnswering,
								    FlaxBartForSequenceClassification,
								    FlaxBartModel,
								    FlaxBartPreTrainedModel,
								)

else:
				import sys

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





import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput




@dataclass
class 					_snake_case						(						_lowercase				):
					lowerCamelCase__:		float
					lowerCamelCase__:		Optional[float]  =     None
					lowerCamelCase__:		Optional[float]  =     None




class 					_snake_case						(						unittest.TestCase				):
					def    _lowerCamelCase (  self:				Union[str, Any]     )    ->				List[Any]:
												__UpperCAmelCase						:			str         =   ModelOutputTest(a=30     )
												self.assertEqual(x.a	,  30     )
												self.assertIsNone(x.b     )
												self.assertIsNone(x.c     )
												with self.assertRaises(__lowerCamelCase     ):
																			__UpperCAmelCase						:			List[Any]         =   x.d
					def    _lowerCamelCase (  self:				Optional[int]     )    ->				str:
												__UpperCAmelCase						:			Union[str, 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[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    _lowerCamelCase (  self:				Tuple     )    ->				List[str]:
												__UpperCAmelCase						:			str         =   ModelOutputTest(a=30	,  b=10     )
												self.assertEqual(x["a"]	,  30     )
												self.assertEqual(x["b"]	,  10     )
												with self.assertRaises(__lowerCamelCase     ):
																			__UpperCAmelCase						:			Dict         =   x["c"]

												__UpperCAmelCase						:			Tuple         =   ModelOutputTest(a=30	,  c=10     )
												self.assertEqual(x["a"]	,  30     )
												self.assertEqual(x["c"]	,  10     )
												with self.assertRaises(__lowerCamelCase     ):
																			__UpperCAmelCase						:			Optional[Any]         =   x["b"]
					def    _lowerCamelCase (  self:				str     )    ->				Any:
												__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(__lowerCamelCase     )	,  ["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(__lowerCamelCase     )	,  ["a", "b"]     )

												__UpperCAmelCase						:			Any         =   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(__lowerCamelCase     )	,  ["a", "c"]     )

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





					def    _lowerCamelCase (  self:				Optional[int]     )    ->				Union[str, Any]:
												__UpperCAmelCase						:			Dict         =   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(__lowerCamelCase     ):
																			__UpperCAmelCase						:			Any         =   ModelOutputTest([("a", 30), (10, 10)]     )

												__UpperCAmelCase						:			Dict         =   ModelOutputTest(a=(30, 30)     )
												self.assertEqual(list(x.keys()     )	,  ["a"]     )
												self.assertEqual(x.a	,  (30, 30)     )




