




'''simple docstring'''




from typing import TYPE_CHECKING

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


UpperCAmelCase_       				=      {
    'configuration_deformable_detr': ['DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DeformableDetrConfig'],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_       				=      ['DeformableDetrFeatureExtractor']
    UpperCAmelCase_       				=      ['DeformableDetrImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_       				=      [
        'DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
        'DeformableDetrForObjectDetection',
        'DeformableDetrModel',
        'DeformableDetrPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
        from .image_processing_deformable_detr import DeformableDetrImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_deformable_detr import (
            DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeformableDetrForObjectDetection,
            DeformableDetrModel,
            DeformableDetrPreTrainedModel,
        )

else:
    import sys

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






'''simple docstring'''




import os

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

from .logging import get_logger


UpperCAmelCase_       				=      2 << 2_0  # 2mb
UpperCAmelCase_       				=      get_logger(__name__)

class 						lowerCAmelCase_   ( lowerCamelCase_   ):







  '''simple docstring'''







  def 							SCREAMING_SNAKE_CASE__			(						self    :	Any ):






   """simple docstring"""






   UpperCAmelCase__										=    self._options.get_all_options().get("""runner""" )
   return runner in [None, "DirectRunner", "PortableRunner"]

def    _UpperCamelCase      (				SCREAMING_SNAKE_CASE__			:      Any       ,						SCREAMING_SNAKE_CASE__			:      List[Any]       ,						SCREAMING_SNAKE_CASE__			:      Any=False       ):
 '''simple docstring'''





 UpperCAmelCase__										=    FileSystems
 if fs.exists(SCREAMING_SNAKE_CASE__       ):
  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(SCREAMING_SNAKE_CASE__       ) as remote_file:
  with open(SCREAMING_SNAKE_CASE__       ,						"""rb"""       ) as local_file:
   UpperCAmelCase__										=    local_file.read(SCREAMING_SNAKE_CASE__       )
   while chunk:
    remote_file.write(SCREAMING_SNAKE_CASE__       )
    UpperCAmelCase__										=    local_file.read(SCREAMING_SNAKE_CASE__       )







def    _UpperCamelCase      (				SCREAMING_SNAKE_CASE__			:      Dict       ,						SCREAMING_SNAKE_CASE__			:      Any       ,						SCREAMING_SNAKE_CASE__			:      Dict=False       ):
 '''simple docstring'''





 UpperCAmelCase__										=    FileSystems
 if os.path.exists(SCREAMING_SNAKE_CASE__       ):
  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(SCREAMING_SNAKE_CASE__       ) as remote_file:
  with open(SCREAMING_SNAKE_CASE__       ,						"""wb"""       ) as local_file:
   UpperCAmelCase__										=    remote_file.read(SCREAMING_SNAKE_CASE__       )
   while chunk:
    local_file.write(SCREAMING_SNAKE_CASE__       )
    UpperCAmelCase__										=    remote_file.read(SCREAMING_SNAKE_CASE__       )
