





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase			:  Optional[Any]										=				{
    "configuration_wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase			:  List[Any]										=				[
          "WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "Wav2Vec2ConformerForAudioFrameClassification",
          "Wav2Vec2ConformerForCTC",
          "Wav2Vec2ConformerForPreTraining",
          "Wav2Vec2ConformerForSequenceClassification",
          "Wav2Vec2ConformerForXVector",
          "Wav2Vec2ConformerModel",
          "Wav2Vec2ConformerPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_wavaveca_conformer import (
          WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          WavaVecaConformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_wavaveca_conformer import (
                WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                WavaVecaConformerForAudioFrameClassification,
                WavaVecaConformerForCTC,
                WavaVecaConformerForPreTraining,
                WavaVecaConformerForSequenceClassification,
                WavaVecaConformerForXVector,
                WavaVecaConformerModel,
                WavaVecaConformerPreTrainedModel,
            )

else:
      import sys

      __UpperCAmelCase			:  Dict										=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)












import os

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

from .logging import get_logger


_UpperCAmelCase						:    List[str]      =  2 << 20  # 2mb
_UpperCAmelCase						:    Optional[int]      =  get_logger(__name__)




class  __lowerCAmelCase							(				lowerCAmelCase):






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







def    UpperCAmelCase__	(  lowerCamelCase,      lowerCamelCase,      lowerCamelCase=False ):
  lowercase     :str   						=    FileSystems
  if fs.exists(lowerCamelCase ):
    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(lowerCamelCase ) as remote_file:
    with open(lowerCamelCase,      "rb" ) as local_file:
      lowercase     :int   						=    local_file.read(lowerCamelCase )
      while chunk:
        remote_file.write(lowerCamelCase )
        lowercase     :List[Any]   						=    local_file.read(lowerCamelCase )







def    UpperCAmelCase__	(  lowerCamelCase,      lowerCamelCase,      lowerCamelCase=False ):
  lowercase     :Union[str, Any]   						=    FileSystems
  if os.path.exists(lowerCamelCase ):
    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(lowerCamelCase ) as remote_file:
    with open(lowerCamelCase,      "wb" ) as local_file:
      lowercase     :Optional[Any]   						=    remote_file.read(lowerCamelCase )
      while chunk:
        local_file.write(lowerCamelCase )
        lowercase     :Dict   						=    remote_file.read(lowerCamelCase )



