from typing import TYPE_CHECKING

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


UpperCamelCase__											=					{
    'configuration_mobilebert': [
        'MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileBertConfig',
        'MobileBertOnnxConfig',
    ],
    'tokenization_mobilebert': ['MobileBertTokenizer'],
}

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

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase__											=					[
          'MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
          'MobileBertForMaskedLM',
          'MobileBertForMultipleChoice',
          'MobileBertForNextSentencePrediction',
          'MobileBertForPreTraining',
          'MobileBertForQuestionAnswering',
          'MobileBertForSequenceClassification',
          'MobileBertForTokenClassification',
          'MobileBertLayer',
          'MobileBertModel',
          'MobileBertPreTrainedModel',
          'load_tf_weights_in_mobilebert',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase__											=					[
          'TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
          'TFMobileBertForMaskedLM',
          'TFMobileBertForMultipleChoice',
          'TFMobileBertForNextSentencePrediction',
          'TFMobileBertForPreTraining',
          'TFMobileBertForQuestionAnswering',
          'TFMobileBertForSequenceClassification',
          'TFMobileBertForTokenClassification',
          'TFMobileBertMainLayer',
          'TFMobileBertModel',
          'TFMobileBertPreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_mobilebert import (
          MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
          MobileBertConfig,
          MobileBertOnnxConfig,
      )
      from .tokenization_mobilebert import MobileBertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_mobilebert_fast import MobileBertTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mobilebert import (
                MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                MobileBertForMaskedLM,
                MobileBertForMultipleChoice,
                MobileBertForNextSentencePrediction,
                MobileBertForPreTraining,
                MobileBertForQuestionAnswering,
                MobileBertForSequenceClassification,
                MobileBertForTokenClassification,
                MobileBertLayer,
                MobileBertModel,
                MobileBertPreTrainedModel,
                load_tf_weights_in_mobilebert,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_mobilebert import (
                TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFMobileBertForMaskedLM,
                TFMobileBertForMultipleChoice,
                TFMobileBertForNextSentencePrediction,
                TFMobileBertForPreTraining,
                TFMobileBertForQuestionAnswering,
                TFMobileBertForSequenceClassification,
                TFMobileBertForTokenClassification,
                TFMobileBertMainLayer,
                TFMobileBertModel,
                TFMobileBertPreTrainedModel,
            )

else:
      import sys

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




from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

UpperCamelCase__											=					[
    'python',
    'tqdm',
    'regex',
    'requests',
    'packaging',
    'filelock',
    'numpy',
    'tokenizers',
    'huggingface-hub',
    'safetensors',
    'accelerate',
    'pyyaml',
]

for pkg in pkgs_to_check_at_runtime:
      if pkg in deps:
            if pkg == "tokenizers":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_tokenizers_available

                  if not is_tokenizers_available():
                        continue  # not required, check version only if installed
            elif pkg == "accelerate":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_accelerate_available

                  # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
                  # Transformers with PyTorch
                  if not is_accelerate_available():
                        continue  # not required, check version only if installed

            require_version_core(deps[pkg])
      else:
            raise ValueError(f'''can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py''')




def    lowerCAmelCase_ (     __A,  __A=None							)     ->				Dict:







      '''simple docstring'''


      require_version(deps[pkg],  __A							)



