






'''simple docstring'''

from typing import TYPE_CHECKING

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


A:      Dict  				=				{'''configuration_mbart''': ['''MBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MBartConfig''', '''MBartOnnxConfig''']}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:      Tuple  				=				['''MBartTokenizer''']

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:      Union[str, Any]  				=				['''MBartTokenizerFast''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:      Dict  				=				[
          '''MBART_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''MBartForCausalLM''',
          '''MBartForConditionalGeneration''',
          '''MBartForQuestionAnswering''',
          '''MBartForSequenceClassification''',
          '''MBartModel''',
          '''MBartPreTrainedModel''',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:      int  				=				[
          '''TFMBartForConditionalGeneration''',
          '''TFMBartModel''',
          '''TFMBartPreTrainedModel''',
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:      Optional[int]  				=				[
          '''FlaxMBartForConditionalGeneration''',
          '''FlaxMBartForQuestionAnswering''',
          '''FlaxMBartForSequenceClassification''',
          '''FlaxMBartModel''',
          '''FlaxMBartPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_mbart import MBartTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_mbart_fast import MBartTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mbart import (
                MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
                MBartForCausalLM,
                MBartForConditionalGeneration,
                MBartForQuestionAnswering,
                MBartForSequenceClassification,
                MBartModel,
                MBartPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_mbart import (
                FlaxMBartForConditionalGeneration,
                FlaxMBartForQuestionAnswering,
                FlaxMBartForSequenceClassification,
                FlaxMBartModel,
                FlaxMBartPreTrainedModel,
            )

else:
      import sys

      A:      Dict  				=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)








'''simple docstring'''

import os
from distutils.util import strtobool






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	int							)			->			Any:





						"""simple docstring"""
						for e in env_keys:
												lowercase_      :   Optional[Any]        =			int(os.environ.get(a						,			-1							)							)
												if val >= 0:
																		return val
						return default






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict=False							)			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Optional[int]        =			os.environ.get(a						,			str(a							)							)
						return strtobool(a							) == 1  # As its name indicates `strtobool` actually returns an int...






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict="no"							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[Any]        =			os.environ.get(a						,			str(a							)							)
						return value
