





from typing import TYPE_CHECKING

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


snake_case_				=			{
    'configuration_mobilevit': ['MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MobileViTConfig', 'MobileViTOnnxConfig'],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_				=			['MobileViTFeatureExtractor']
    snake_case_				=			['MobileViTImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_				=			[
        'MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'MobileViTForImageClassification',
        'MobileViTForSemanticSegmentation',
        'MobileViTModel',
        'MobileViTPreTrainedModel',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_				=			[
        'TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'TFMobileViTForImageClassification',
        'TFMobileViTForSemanticSegmentation',
        'TFMobileViTModel',
        'TFMobileViTPreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_mobilevit import MobileViTFeatureExtractor
        from .image_processing_mobilevit import MobileViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_mobilevit import (
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
        )


else:
    import sys

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








import socket






def lowerCamelCase__    (							)      ->				Any:
   __snake_case							       =   socket.socket(socket.AF_INET       ,      socket.SOCK_STREAM       )
   __snake_case							       =   socket.gethostname()
   __snake_case							       =   1_2312

   sock.connect((host, port)       )
   sock.send(B'''Hello server!'''       )

   with open('''Received_file'''       ,      '''wb'''       ) as out_file:
      print('''File opened'''       )
      print('''Receiving data...'''       )
      while True:
         __snake_case							       =   sock.recv(1024       )
         if not data:
            break
         out_file.write(snake_case_       )

   print('''Successfully received the file'''       )
   sock.close()
   print('''Connection closed'''       )


if __name__ == "__main__":
    main()

