





import os

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

from .logging import get_logger


_SCREAMING_SNAKE_CASE   						=		2 << 20  # 2mb
_SCREAMING_SNAKE_CASE   						=		get_logger(__name__)
class SCREAMING_SNAKE_CASE_    (       snake_case_       ):






						def UpperCAmelCase_					(   self   :   List[str]						)				->     int:







							"""simple docstring"""


							snake_case_		:      List[str]           =						self._options.get_all_options().get('runner'						)
							return runner in [None, "DirectRunner", "PortableRunner"]


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ,			__a=False ):
	snake_case_		:      List[str]           =						FileSystems
	if fs.exists(__a ):
		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(__a ) as remote_file:
		with open(__a ,			'rb' ) as local_file:
			snake_case_		:      Optional[Any]           =						local_file.read(__a )
			while chunk:
				remote_file.write(__a )
				snake_case_		:      Tuple           =						local_file.read(__a )


def 				SCREAMING_SNAKE_CASE__    (     __a ,			__a ,			__a=False ):
	snake_case_		:      List[Any]           =						FileSystems
	if os.path.exists(__a ):
		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(__a ) as remote_file:
		with open(__a ,			'wb' ) as local_file:
			snake_case_		:      Union[str, Any]           =						remote_file.read(__a )
			while chunk:
				local_file.write(__a )
				snake_case_		:      List[str]           =						remote_file.read(__a )








from typing import TYPE_CHECKING

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


snake_case__   :				Dict						=	{
    'configuration_videomae': ['VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VideoMAEConfig'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__   :				Any						=	[
           'VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'VideoMAEForPreTraining',
           'VideoMAEModel',
           'VideoMAEPreTrainedModel',
           'VideoMAEForVideoClassification',
       ]

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__   :				str						=	['VideoMAEFeatureExtractor']
       snake_case__   :				Tuple						=	['VideoMAEImageProcessor']

if TYPE_CHECKING:
       from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_videomae import (
                  VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  VideoMAEForPreTraining,
                  VideoMAEForVideoClassification,
                  VideoMAEModel,
                  VideoMAEPreTrainedModel,
              )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_videomae import VideoMAEFeatureExtractor
              from .image_processing_videomae import VideoMAEImageProcessor

else:
       import sys

       snake_case__   :				Optional[Any]						=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





