




'''simple docstring'''







import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


_lowerCamelCase							:						int							     =  2 << 20  # 2mb
_lowerCamelCase							:						Optional[int]							     =  get_logger(__name__)





class 					lowerCamelCase_							(	UpperCAmelCase_							):




					'''simple docstring'''






					def     __SCREAMING_SNAKE_CASE     (   self			):
							_snake_case     	=	self._options.get_all_options().get("runner"			)
							return runner in [None, "DirectRunner", "PortableRunner"]






def 		_lowercase		(     lowercase_						,							lowercase_						,							lowercase_=False  ):



		'''simple docstring'''







		_snake_case     	=	FileSystems
		if fs.exists(lowercase_  ):
				if force_upload:
						logger.info(f'''Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''  )
				else:
						logger.info(f'''Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'''  )
						return
		with fs.create(lowercase_  ) as remote_file:
				with open(lowercase_						,							"rb"  ) as local_file:
						_snake_case     	=	local_file.read(lowercase_  )
						while chunk:
								remote_file.write(lowercase_  )
								_snake_case     	=	local_file.read(lowercase_  )






def 		_lowercase		(     lowercase_						,							lowercase_						,							lowercase_=False  ):



		'''simple docstring'''







		_snake_case     	=	FileSystems
		if os.path.exists(lowercase_  ):
				if force_download:
						logger.info(f'''Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''  )
				else:
						logger.info(f'''Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'''  )
						return
		with fs.open(lowercase_  ) as remote_file:
				with open(lowercase_						,							"wb"  ) as local_file:
						_snake_case     	=	remote_file.read(lowercase_  )
						while chunk:
								local_file.write(lowercase_  )
								_snake_case     	=	remote_file.read(lowercase_  )











'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase							:						List[Any]							     =  {
    'configuration_mobilenet_v1': [
        'MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileNetV1Config',
        'MobileNetV1OnnxConfig',
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						str							     =  ['MobileNetV1FeatureExtractor']
						_lowerCamelCase							:						Tuple							     =  ['MobileNetV1ImageProcessor']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						List[Any]							     =  [
						    'MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MobileNetV1ForImageClassification',
						    'MobileNetV1Model',
						    'MobileNetV1PreTrainedModel',
						    'load_tf_weights_in_mobilenet_v1',
						]


if TYPE_CHECKING:
						from .configuration_mobilenet_va import (
						    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    MobileNetVaConfig,
						    MobileNetVaOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
												from .image_processing_mobilenet_va import MobileNetVaImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mobilenet_va import (
												    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MobileNetVaForImageClassification,
												    MobileNetVaModel,
												    MobileNetVaPreTrainedModel,
												    load_tf_weights_in_mobilenet_va,
												)


else:
						import sys

						_lowerCamelCase							:						Union[str, Any]							     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





