






import os

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

from .logging import get_logger


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


class 		lowerCAmelCase_				(  UpperCamelCase ):





     def 						lowerCamelCase							(	self  )		->				Tuple:
        lowerCamelCase									=self._options.get_all_options().get("""runner"""  )
        return runner in [None, "DirectRunner", "PortableRunner"]






def  UpperCAmelCase__						(    lowerCamelCase	:			str			,lowerCamelCase	:			Tuple			,lowerCamelCase	:			str=False    ):
   lowerCamelCase									=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:
         lowerCamelCase									=local_file.read(lowerCamelCase    )
         while chunk:
            remote_file.write(lowerCamelCase    )
            lowerCamelCase									=local_file.read(lowerCamelCase    )







def  UpperCAmelCase__						(    lowerCamelCase	:			Tuple			,lowerCamelCase	:			Union[str, Any]			,lowerCamelCase	:			List[str]=False    ):
   lowerCamelCase									=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:
         lowerCamelCase									=remote_file.read(lowerCamelCase    )
         while chunk:
            local_file.write(lowerCamelCase    )
            lowerCamelCase									=remote_file.read(lowerCamelCase    )







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase					:						Any         =     logging.get_logger(__name__)

_UpperCAmelCase					:						Dict         =     {
    'ZinengTang/tvlt-base': 'https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json',
}


class 		lowerCAmelCase_				(  UpperCamelCase ):
     __lowerCamelCase       :    Any 	=     '''tvlt'''





     def __init__(	self							, _UpperCAmelCase=224							, _UpperCAmelCase=2048							, _UpperCAmelCase=128							, _UpperCAmelCase=[16, 16]							, _UpperCAmelCase=[16, 16]							, _UpperCAmelCase=3							, _UpperCAmelCase=1							, _UpperCAmelCase=8							, _UpperCAmelCase=768							, _UpperCAmelCase=12							, _UpperCAmelCase=12							, _UpperCAmelCase=3072							, _UpperCAmelCase="gelu"							, _UpperCAmelCase=0.0							, _UpperCAmelCase=0.0							, _UpperCAmelCase=0.02							, _UpperCAmelCase=1E-6							, _UpperCAmelCase=True							, _UpperCAmelCase=False							, _UpperCAmelCase=16							, _UpperCAmelCase=512							, _UpperCAmelCase=8							, _UpperCAmelCase=2048							, _UpperCAmelCase=0.75							, _UpperCAmelCase=0.15							, _UpperCAmelCase="frame-level"							, _UpperCAmelCase=True							, _UpperCAmelCase=True							, _UpperCAmelCase="classification"							, **_UpperCAmelCase							, )		->				List[Any]:
        super().__init__(**_UpperCAmelCase  )

        if audio_mask_type not in ("frame-level", "patch_level"):
           raise ValueError(
               """audio_mask_type must be one of two acceptable strategies - {'frame_level', 'patch-level') """
               F'''got {audio_mask_type}'''  )

        lowerCamelCase									=image_size
        lowerCamelCase									=spectrogram_length
        lowerCamelCase									=frequency_length
        lowerCamelCase									=image_patch_size
        lowerCamelCase									=audio_patch_size
        lowerCamelCase									=num_image_channels
        lowerCamelCase									=num_audio_channels
        lowerCamelCase									=num_frames

        lowerCamelCase									=hidden_size
        lowerCamelCase									=num_hidden_layers
        lowerCamelCase									=num_attention_heads
        lowerCamelCase									=intermediate_size
        lowerCamelCase									=hidden_act
        lowerCamelCase									=hidden_dropout_prob
        lowerCamelCase									=attention_probs_dropout_prob
        lowerCamelCase									=initializer_range
        lowerCamelCase									=layer_norm_eps
        lowerCamelCase									=qkv_bias
        lowerCamelCase									=use_mean_pooling

        lowerCamelCase									=decoder_num_attention_heads
        lowerCamelCase									=decoder_hidden_size
        lowerCamelCase									=decoder_num_hidden_layers
        lowerCamelCase									=decoder_intermediate_size
        lowerCamelCase									=pixel_mask_ratio
        lowerCamelCase									=audio_mask_ratio
        lowerCamelCase									=audio_mask_type

        lowerCamelCase									=task_matching
        lowerCamelCase									=task_mae
        lowerCamelCase									=loss_type