


"""simple docstring"""






import enum
import inspect
from typing import Iterable, List, Optional, Tuple, Union


class 			SCREAMING_SNAKE_CASE_  (   enum.Enum):




							'''simple docstring'''





							__magic_name__					:     Union[str, Any]				  =  '''timm'''
							__magic_name__					:     List[Any]				  =  '''transformers'''



def 			A__		(					_UpperCAmelCase    :      Optional[Iterable[str]]				,    _UpperCAmelCase    :      Optional[Iterable[int]]				,    _UpperCAmelCase    :      Optional[Iterable[str]]	)							->	Optional[int]:

	'''simple docstring'''


	if stage_names is None:
		raise ValueError("Stage_names must be set for transformers backbones"	)

	if out_features is not None:
		if not isinstance(_UpperCAmelCase				,    (list,)	):
			raise ValueError(F"""out_features must be a list {type(_UpperCAmelCase	)}"""	)
		if any(feat not in stage_names for feat in out_features	):
			raise ValueError(F"""out_features must be a subset of stage_names: {stage_names} got {out_features}"""	)

	if out_indices is not None:
		if not isinstance(_UpperCAmelCase				,    (list, tuple)	):
			raise ValueError(F"""out_indices must be a list or tuple, got {type(_UpperCAmelCase	)}"""	)
		if any(idx >= len(_UpperCAmelCase	) for idx in out_indices	):
			raise ValueError("out_indices must be valid indices for stage_names {stage_names}, got {out_indices}"	)

	if out_features is not None and out_indices is not None:
		if len(_UpperCAmelCase	) != len(_UpperCAmelCase	):
			raise ValueError("out_features and out_indices should have the same length if both are set"	)
		if out_features != [stage_names[idx] for idx in out_indices]:
			raise ValueError("out_features and out_indices should correspond to the same stages if both are set"	)



def 			A__		(					_UpperCAmelCase    :      Optional[List[str]]				,    _UpperCAmelCase    :      Optional[Union[List[int], Tuple[int]]]				,    _UpperCAmelCase    :      List[str]				,    )							->	Union[str, Any]:

	'''simple docstring'''


	if out_indices is None and out_features is None:
		snake_case__  :						List[str]		=      [len(_UpperCAmelCase	) - 1]
		snake_case__  :						Any		=      [stage_names[-1]]
	elif out_indices is None and out_features is not None:
		snake_case__  :						Optional[Any]		=      [stage_names.index(_UpperCAmelCase	) for layer in out_features]
	elif out_features is None and out_indices is not None:
		snake_case__  :						Union[str, Any]		=      [stage_names[idx] for idx in out_indices]
	return out_features, out_indices



def 			A__		(					_UpperCAmelCase    :      Optional[List[str]]				,    _UpperCAmelCase    :      Optional[Union[List[int], Tuple[int]]]				,    _UpperCAmelCase    :      List[str]				,    )							->	Tuple[List[str], List[int]]:

	'''simple docstring'''


	verify_out_features_out_indices(out_features=_UpperCAmelCase				,    out_indices=_UpperCAmelCase				,    stage_names=_UpperCAmelCase	)
	snake_case__,					snake_case__  :						int		=      _align_output_features_output_indices(
	    out_features=_UpperCAmelCase				,    out_indices=_UpperCAmelCase				,    stage_names=_UpperCAmelCase	)
	# Verify that the aligned out_features and out_indices are valid
	verify_out_features_out_indices(out_features=_UpperCAmelCase				,    out_indices=_UpperCAmelCase				,    stage_names=_UpperCAmelCase	)
	return output_features, output_indices


class 			SCREAMING_SNAKE_CASE_  :




							'''simple docstring'''





							__magic_name__					:     Optional[BackboneType]				  =  None




							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	None:







								'''simple docstring'''




								if getattr(self	,					"_backbone"	,					lowerCamelCase__) is None:
									raise ValueError("self._backbone must be set before calling _init_timm_backbone")

								# These will diagree with the defaults for the transformers models e.g. for resnet50
								# the transformer model has out_features = ['stem', 'stage1', 'stage2', 'stage3', 'stage4']
								# the timm model has out_features = ['act', 'layer1', 'layer2', 'layer3', 'layer4']
								snake_case__  :						Union[str, Any]		=      [stage["module"] for stage in self._backbone.feature_info.info]
								snake_case__  :						str		=      [stage["num_chs"] for stage in self._backbone.feature_info.info]
								snake_case__  :						str		=      self._backbone.feature_info.out_indices
								snake_case__  :						Optional[int]		=      self._backbone.feature_info.module_name()

								# We verify the out indices and out features are valid
								verify_out_features_out_indices(
								    out_features=lowerCamelCase__	,					out_indices=lowerCamelCase__	,					stage_names=self.stage_names)
								snake_case__,					snake_case__  :						int		=      out_features, out_indices




							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	None:







								'''simple docstring'''




								snake_case__  :						Tuple		=      getattr(lowerCamelCase__	,					"stage_names")
								snake_case__  :						int		=      getattr(lowerCamelCase__	,					"out_features"	,					lowerCamelCase__)
								snake_case__  :						List[str]		=      getattr(lowerCamelCase__	,					"out_indices"	,					lowerCamelCase__)

								snake_case__  :						int		=      stage_names
								snake_case__,					snake_case__  :						Optional[Any]		=      get_aligned_output_features_output_indices(
								    out_features=lowerCamelCase__	,					out_indices=lowerCamelCase__	,					stage_names=lowerCamelCase__)
								# Number of channels for each stage. This is set in the transformer backbone model init
								snake_case__  :						Dict		=      None




							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	None:







								'''simple docstring'''




								snake_case__  :						Optional[int]		=      config

								snake_case__  :						Optional[int]		=      getattr(lowerCamelCase__	,					"use_timm_backbone"	,					lowerCamelCase__)
								snake_case__  :						Optional[int]		=      BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS

								if self.backbone_type == BackboneType.TIMM:
									self._init_timm_backbone(lowerCamelCase__)
								elif self.backbone_type == BackboneType.TRANSFORMERS:
									self._init_transformers_backbone(lowerCamelCase__)
								else:
									raise ValueError(f"""backbone_type {self.backbone_type} not supported.""")




							@property
							def        UpperCAmelCase (						self)   ->	Dict:







								'''simple docstring'''




								return self._out_features




							@out_features.setter
							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	Optional[Any]:







								'''simple docstring'''




								snake_case__,					snake_case__  :						int		=      get_aligned_output_features_output_indices(
								    out_features=lowerCamelCase__	,					out_indices=lowerCamelCase__	,					stage_names=self.stage_names)




							@property
							def        UpperCAmelCase (						self)   ->	List[str]:







								'''simple docstring'''




								return self._out_indices




							@out_indices.setter
							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	Dict:







								'''simple docstring'''




								snake_case__,					snake_case__  :						Tuple		=      get_aligned_output_features_output_indices(
								    out_features=lowerCamelCase__	,					out_indices=lowerCamelCase__	,					stage_names=self.stage_names)




							@property
							def        UpperCAmelCase (						self)   ->	List[str]:







								'''simple docstring'''




								return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names)}




							@property
							def        UpperCAmelCase (						self)   ->	Dict:







								'''simple docstring'''




								return [self.out_feature_channels[name] for name in self.out_features]




							def        UpperCAmelCase (						self	,					*lowerCamelCase__	,					**lowerCamelCase__)   ->	str:







								'''simple docstring'''




								snake_case__  :						Tuple		=      dict(inspect.signature(self.forward).parameters)
								snake_case__  :						Dict		=      {k: v for k, v in kwargs.items() if k in signature}
								return self(*lowerCamelCase__	,					**lowerCamelCase__)




							def        UpperCAmelCase (						self	,					lowerCamelCase__	,					lowerCamelCase__ = None	,					lowerCamelCase__ = None	,					lowerCamelCase__ = None	,					)   ->	str:







								'''simple docstring'''




								raise NotImplementedError("This method should be implemented by the derived class.")







							def        UpperCAmelCase (						self)   ->	int:







								'''simple docstring'''




								snake_case__  :						Union[str, Any]		=      super().to_dict()
								snake_case__  :						Optional[Any]		=      output.pop("_out_features")
								snake_case__  :						List[str]		=      output.pop("_out_indices")
								return output


class 			SCREAMING_SNAKE_CASE_  :




							'''simple docstring'''





							@property
							def        UpperCAmelCase (						self)   ->	List[str]:







								'''simple docstring'''




								return self._out_features




							@out_features.setter
							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	Tuple:







								'''simple docstring'''




								snake_case__,					snake_case__  :						List[Any]		=      get_aligned_output_features_output_indices(
								    out_features=lowerCamelCase__	,					out_indices=lowerCamelCase__	,					stage_names=self.stage_names)




							@property
							def        UpperCAmelCase (						self)   ->	int:







								'''simple docstring'''




								return self._out_indices




							@out_indices.setter
							def        UpperCAmelCase (						self	,					lowerCamelCase__)   ->	Optional[Any]:







								'''simple docstring'''




								snake_case__,					snake_case__  :						Any		=      get_aligned_output_features_output_indices(
								    out_features=lowerCamelCase__	,					out_indices=lowerCamelCase__	,					stage_names=self.stage_names)







							def        UpperCAmelCase (						self)   ->	int:







								'''simple docstring'''




								snake_case__  :						Optional[int]		=      super().to_dict()
								snake_case__  :						int		=      output.pop("_out_features")
								snake_case__  :						Dict		=      output.pop("_out_indices")
								return output








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

class        _UpperCamelCase	:


  """simple docstring"""





  snake_case_        =    'block_{0}.dat'



  def __init__( self					: int       ,       snake_case					: int      )	->			List[str]:


         '''simple docstring'''





         __magic_name__			:		Optional[int]        =     filename
         __magic_name__			:		Any        =     []



  def 							_UpperCAmelCase      ( self					: Optional[Any]       ,       snake_case					: int       ,       snake_case					: Any      )	->			List[Any]:


         '''simple docstring'''





         __magic_name__			:		Optional[Any]        =     self.BLOCK_FILENAME_FORMAT.format(snake_case      )
         with open(snake_case       ,       '''w'''      ) as file:
                file.write(snake_case      )
         self.block_filenames.append(snake_case      )



  def 							_UpperCAmelCase      ( self					: str      )	->			List[str]:


         '''simple docstring'''





         return self.block_filenames



  def 							_UpperCAmelCase      ( self					: Union[str, Any]       ,       snake_case					: Dict       ,       snake_case					: int=None      )	->			Union[str, Any]:


         '''simple docstring'''





         __magic_name__			:		List[str]        =     0
         with open(self.filename      ) as file:
                while True:
                       __magic_name__			:		Tuple        =     file.readlines(snake_case      )

                       if lines == []:
                              break

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

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




  def 							_UpperCAmelCase      ( self					: Tuple      )	->			Optional[int]:


         '''simple docstring'''





         map(os.remove       ,       self.block_filenames      )

class        _UpperCamelCase	:


  """simple docstring"""





  def 							_UpperCAmelCase      ( self					: List[Any]       ,       snake_case					: Dict      )	->			int:


         '''simple docstring'''





         __magic_name__			:		Any        =     -1
         __magic_name__			:		Union[str, Any]        =     None

         for i in range(len(snake_case      )      ):
                if min_str is None or choices[i] < min_str:
                       __magic_name__			:		Dict        =     i

         return min_index

class        _UpperCamelCase	:


  """simple docstring"""





  def __init__( self					: str       ,       snake_case					: Optional[int]      )	->			Any:


         '''simple docstring'''





         __magic_name__			:		Dict        =     files
         __magic_name__			:		List[str]        =     set()
         __magic_name__			:		Any        =     len(snake_case      )
         __magic_name__			:		int        =     {i: None for i in range(self.num_buffers      )}



  def 							_UpperCAmelCase      ( self					: List[str]      )	->			Optional[Any]:


         '''simple docstring'''





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



  def 							_UpperCAmelCase      ( self					: int      )	->			int:


         '''simple docstring'''





         for i in range(self.num_buffers      ):
                if self.buffers[i] is None and i not in self.empty:
                       __magic_name__			:		int        =     self.files[i].readline()

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

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

         return True




  def 							_UpperCAmelCase      ( self					: Dict       ,       snake_case					: Optional[Any]      )	->			Optional[Any]:


         '''simple docstring'''





         __magic_name__			:		List[str]        =     self.buffers[index]
         __magic_name__			:		Dict        =     None

         return value

class        _UpperCamelCase	:


  """simple docstring"""





  def __init__( self					: Any       ,       snake_case					: str      )	->			Dict:


         '''simple docstring'''





         __magic_name__			:		Optional[Any]        =     merge_strategy



  def 							_UpperCAmelCase      ( self					: Optional[int]       ,       snake_case					: int       ,       snake_case					: Dict       ,       snake_case					: Dict      )	->			Union[str, Any]:


         '''simple docstring'''





         __magic_name__			:		Union[str, Any]        =     FilesArray(self.get_file_handles(snake_case       ,       snake_case      )      )
         with open(snake_case       ,       '''w'''       ,       snake_case      ) as outfile:
                while buffers.refresh():
                       __magic_name__			:		List[str]        =     self.merge_strategy.select(buffers.get_dict()      )
                       outfile.write(buffers.unshift(snake_case      )      )




  def 							_UpperCAmelCase      ( self					: Union[str, Any]       ,       snake_case					: List[str]       ,       snake_case					: Optional[int]      )	->			Union[str, Any]:


         '''simple docstring'''





         __magic_name__			:		str        =     {}

         for i in range(len(snake_case      )      ):
                __magic_name__			:		Any        =     open(filenames[i]       ,       '''r'''       ,       snake_case      )  # noqa: UP015

         return files

class        _UpperCamelCase	:


  """simple docstring"""





  def __init__( self					: Optional[Any]       ,       snake_case					: Union[str, Any]      )	->			Optional[int]:


         '''simple docstring'''





         __magic_name__			:		int        =     block_size



  def 							_UpperCAmelCase      ( self					: str       ,       snake_case					: Optional[int]       ,       snake_case					: Dict=None      )	->			Optional[Any]:


         '''simple docstring'''





         __magic_name__			:		Tuple        =     self.get_number_blocks(snake_case       ,       self.block_size      )
         __magic_name__			:		str        =     FileSplitter(snake_case      )
         splitter.split(self.block_size       ,       snake_case      )

         __magic_name__			:		int        =     FileMerger(NWayMerge()      )
         __magic_name__			:		Any        =     self.block_size / (num_blocks + 1)
         merger.merge(splitter.get_block_filenames()       ,       filename + '''.out'''       ,       snake_case      )

         splitter.cleanup()




  def 							_UpperCAmelCase      ( self					: Tuple       ,       snake_case					: List[str]       ,       snake_case					: Union[str, Any]      )	->			Tuple:


         '''simple docstring'''





         return (os.stat(snake_case      ).st_size / block_size) + 1







def       UpperCamelCase_					(     lowerCamelCase							:					Union[str, Any]   )						->     Union[str, Any]:



       """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(lowerCamelCase   )







def       UpperCamelCase_					(     )						->     Optional[Any]:



       """simple docstring"""







       __magic_name__			:		Tuple        =     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'''   )
       __magic_name__			:		List[str]        =     parser.parse_args()

       __magic_name__			:		Any        =     ExternalSort(parse_memory(args.mem   )   )
       sorter.sort(args.filename[0]   )


if __name__ == "__main__":
 main()
