





"""simple docstring"""





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


_lowerCamelCase  					=     logging.get_logger(__name__)

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





class       snake_case		(       __UpperCAmelCase       ):
      lowerCamelCase__      =			'''tvlt'''

      def __init__(      self       :Optional[Any]						,							_lowerCamelCase       :Tuple=2_2_4						,							_lowerCamelCase       :Optional[Any]=2_0_4_8						,							_lowerCamelCase       :Dict=1_2_8						,							_lowerCamelCase       :str=[1_6, 1_6]						,							_lowerCamelCase       :List[str]=[1_6, 1_6]						,							_lowerCamelCase       :Tuple=3						,							_lowerCamelCase       :List[str]=1						,							_lowerCamelCase       :Optional[Any]=8						,							_lowerCamelCase       :str=7_6_8						,							_lowerCamelCase       :Optional[Any]=1_2						,							_lowerCamelCase       :Optional[Any]=1_2						,							_lowerCamelCase       :Union[str, Any]=3_0_7_2						,							_lowerCamelCase       :List[Any]="gelu"						,							_lowerCamelCase       :List[str]=0.0						,							_lowerCamelCase       :str=0.0						,							_lowerCamelCase       :Tuple=0.0_2						,							_lowerCamelCase       :Union[str, Any]=1e-6						,							_lowerCamelCase       :str=True						,							_lowerCamelCase       :int=False						,							_lowerCamelCase       :Optional[int]=1_6						,							_lowerCamelCase       :Union[str, Any]=5_1_2						,							_lowerCamelCase       :str=8						,							_lowerCamelCase       :List[str]=2_0_4_8						,							_lowerCamelCase       :List[Any]=0.7_5						,							_lowerCamelCase       :Tuple=0.1_5						,							_lowerCamelCase       :List[str]="frame-level"						,							_lowerCamelCase       :Any=True						,							_lowerCamelCase       :Tuple=True						,							_lowerCamelCase       :int="classification"						,							**_lowerCamelCase       :Optional[int]						,							):
       super().__init__(**_lowerCamelCase						)

       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}'''						)

       __SCREAMING_SNAKE_CASE			:      Tuple 							=	image_size
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	spectrogram_length
       __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	frequency_length
       __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	image_patch_size
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	audio_patch_size
       __SCREAMING_SNAKE_CASE			:      int 							=	num_image_channels
       __SCREAMING_SNAKE_CASE			:      int 							=	num_audio_channels
       __SCREAMING_SNAKE_CASE			:      str 							=	num_frames

       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	hidden_size
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	num_hidden_layers
       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	num_attention_heads
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	intermediate_size
       __SCREAMING_SNAKE_CASE			:      Any 							=	hidden_act
       __SCREAMING_SNAKE_CASE			:      str 							=	hidden_dropout_prob
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	attention_probs_dropout_prob
       __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	initializer_range
       __SCREAMING_SNAKE_CASE			:      int 							=	layer_norm_eps
       __SCREAMING_SNAKE_CASE			:      str 							=	qkv_bias
       __SCREAMING_SNAKE_CASE			:      str 							=	use_mean_pooling

       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	decoder_num_attention_heads
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	decoder_hidden_size
       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	decoder_num_hidden_layers
       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	decoder_intermediate_size
       __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	pixel_mask_ratio
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	audio_mask_ratio
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	audio_mask_type

       __SCREAMING_SNAKE_CASE			:      Any 							=	task_matching
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	task_mae
       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	loss_type








"""simple docstring"""





#
# Sort large text files in a minimum amount of memory
#
import argparse
import os





class       snake_case		:
      lowerCamelCase__      =			'''block_{0}.dat'''

      def __init__(      self       :int						,							_lowerCamelCase       :Dict						):
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	filename
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	[]

      def 						SCREAMING_SNAKE_CASE_      (      self       :List[Any]						,							_lowerCamelCase       :Tuple						,							_lowerCamelCase       :Union[str, Any]						):
       __SCREAMING_SNAKE_CASE			:      Any 							=	self.BLOCK_FILENAME_FORMAT.format(_lowerCamelCase						)
       with open(_lowerCamelCase						,							'''w'''						) as file:
        file.write(_lowerCamelCase						)
       self.block_filenames.append(_lowerCamelCase						)

      def 						SCREAMING_SNAKE_CASE_      (      self       :int						):
       return self.block_filenames

      def 						SCREAMING_SNAKE_CASE_      (      self       :Tuple						,							_lowerCamelCase       :List[str]						,							_lowerCamelCase       :Optional[Any]=None						):
       __SCREAMING_SNAKE_CASE			:      int 							=	0
       with open(self.filename						) as file:
        while True:
         __SCREAMING_SNAKE_CASE			:      Any 							=	file.readlines(_lowerCamelCase						)

         if lines == []:
          break

         if sort_key is None:
          lines.sort()
         else:
          lines.sort(key=_lowerCamelCase						)

         self.write_block(''''''.join(_lowerCamelCase						)						,							_lowerCamelCase						)
         i += 1



      def 						SCREAMING_SNAKE_CASE_      (      self       :Tuple						):
       map(os.remove						,							self.block_filenames						)







class       snake_case		:

      def 						SCREAMING_SNAKE_CASE_      (      self       :int						,							_lowerCamelCase       :Tuple						):
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	-1
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	None

       for i in range(len(_lowerCamelCase						)						):
        if min_str is None or choices[i] < min_str:
         __SCREAMING_SNAKE_CASE			:      Tuple 							=	i

       return min_index







class       snake_case		:

      def __init__(      self       :str						,							_lowerCamelCase       :Tuple						):
       __SCREAMING_SNAKE_CASE			:      Any 							=	files
       __SCREAMING_SNAKE_CASE			:      str 							=	set()
       __SCREAMING_SNAKE_CASE			:      Dict 							=	len(_lowerCamelCase						)
       __SCREAMING_SNAKE_CASE			:      str 							=	{i: None for i in range(self.num_buffers						)}

      def 						SCREAMING_SNAKE_CASE_      (      self       :Optional[Any]						):
       return {
           i: self.buffers[i] for i in range(self.num_buffers						) if i not in self.empty
       }

      def 						SCREAMING_SNAKE_CASE_      (      self       :Union[str, Any]						):
       for i in range(self.num_buffers						):
        if self.buffers[i] is None and i not in self.empty:
         __SCREAMING_SNAKE_CASE			:      int 							=	self.files[i].readline()

         if self.buffers[i] == "":
          self.empty.add(_lowerCamelCase						)
          self.files[i].close()

       if len(self.empty						) == self.num_buffers:
        return False

       return True



      def 						SCREAMING_SNAKE_CASE_      (      self       :Any						,							_lowerCamelCase       :List[str]						):
       __SCREAMING_SNAKE_CASE			:      Dict 							=	self.buffers[index]
       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	None

       return value







class       snake_case		:

      def __init__(      self       :List[Any]						,							_lowerCamelCase       :Optional[int]						):
       __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	merge_strategy

      def 						SCREAMING_SNAKE_CASE_      (      self       :int						,							_lowerCamelCase       :Tuple						,							_lowerCamelCase       :Any						,							_lowerCamelCase       :str						):
       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	FilesArray(self.get_file_handles(_lowerCamelCase						,							_lowerCamelCase						)						)
       with open(_lowerCamelCase						,							'''w'''						,							_lowerCamelCase						) as outfile:
        while buffers.refresh():
         __SCREAMING_SNAKE_CASE			:      List[Any] 							=	self.merge_strategy.select(buffers.get_dict()						)
         outfile.write(buffers.unshift(_lowerCamelCase						)						)



      def 						SCREAMING_SNAKE_CASE_      (      self       :Union[str, Any]						,							_lowerCamelCase       :int						,							_lowerCamelCase       :Optional[Any]						):
       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	{}

       for i in range(len(_lowerCamelCase						)						):
        __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	open(filenames[i]						,							'''r'''						,							_lowerCamelCase						)  # noqa: UP015

       return files







class       snake_case		:

      def __init__(      self       :Dict						,							_lowerCamelCase       :str						):
       __SCREAMING_SNAKE_CASE			:      int 							=	block_size

      def 						SCREAMING_SNAKE_CASE_      (      self       :Optional[Any]						,							_lowerCamelCase       :List[str]						,							_lowerCamelCase       :Dict=None						):
       __SCREAMING_SNAKE_CASE			:      Dict 							=	self.get_number_blocks(_lowerCamelCase						,							self.block_size						)
       __SCREAMING_SNAKE_CASE			:      Dict 							=	FileSplitter(_lowerCamelCase						)
       splitter.split(self.block_size						,							_lowerCamelCase						)

       __SCREAMING_SNAKE_CASE			:      Any 							=	FileMerger(NWayMerge()						)
       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	self.block_size / (num_blocks + 1)
       merger.merge(splitter.get_block_filenames()						,							filename + '''.out'''						,							_lowerCamelCase						)

       splitter.cleanup()



      def 						SCREAMING_SNAKE_CASE_      (      self       :Dict						,							_lowerCamelCase       :str						,							_lowerCamelCase       :List[Any]						):
       return (os.stat(_lowerCamelCase						).st_size / block_size) + 1







def 		lowerCAmelCase_     (  lowercase_       :							str		):

 '''simple docstring'''






 if string[-1].lower() == "k":
  return int(string[:-1]		) * 1024
 elif string[-1].lower() == "m":
  return int(string[:-1]		) * 1024 * 1024
 elif string[-1].lower() == "g":
  return int(string[:-1]		) * 1024 * 1024 * 1024
 else:
  return int(lowercase_		)




def 		lowerCAmelCase_     (  ):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	argparse.ArgumentParser()
 parser.add_argument(
     '''-m'''			,				'''--mem'''			,				help='''amount of memory to use for sorting'''			,				default='''100M'''		)
 parser.add_argument(
     '''filename'''			,				metavar='''<filename>'''			,				nargs=1			,				help='''name of file to sort'''		)
 __SCREAMING_SNAKE_CASE			:      Optional[Any] 							=	parser.parse_args()

 __SCREAMING_SNAKE_CASE			:      List[str] 							=	ExternalSort(parse_memory(args.mem		)		)
 sorter.sort(args.filename[0]		)


if __name__ == "__main__":
    main()

