



'''simple docstring'''





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


class 							_lowerCAmelCase	:


 """simple docstring"""

 lowerCamelCase									=     '''block_{0}.dat'''







 def __init__(      self					,    _lowerCamelCase  )    ->    Optional[int]:
    A_  :		Any						=					filename
    A_  :		int						=					[]







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase  )    ->    Dict:
    A_  :		List[str]						=					self.BLOCK_FILENAME_FORMAT.format(_lowerCamelCase  )
    with open(_lowerCamelCase					,    """w"""  ) as file:
       file.write(_lowerCamelCase  )
    self.block_filenames.append(_lowerCamelCase  )







 def       UpperCAmelCase_       (      self  )    ->    Union[str, Any]:
    return self.block_filenames







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase=None  )    ->    Tuple:
    A_  :		Tuple						=					0
    with open(self.filename  ) as file:
       while True:
          A_  :		Union[str, 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       UpperCAmelCase_       (      self  )    ->    Tuple:
    map(os.remove					,    self.block_filenames  )


class 							_lowerCAmelCase	:


 """simple docstring"""

 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Optional[int]:
    A_  :		List[str]						=					-1
    A_  :		str						=					None

    for i in range(len(_lowerCamelCase  )  ):
       if min_str is None or choices[i] < min_str:
          A_  :		Optional[int]						=					i

    return min_index


class 							_lowerCAmelCase	:


 """simple docstring"""

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







 def       UpperCAmelCase_       (      self  )    ->    Tuple:
    return {
        i: self.buffers[i] for i in range(self.num_buffers  ) if i not in self.empty
    }







 def       UpperCAmelCase_       (      self  )    ->    Dict:
    for i in range(self.num_buffers  ):
       if self.buffers[i] is None and i not in self.empty:
          A_  :		List[Any]						=					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       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Optional[int]:
    A_  :		Dict						=					self.buffers[index]
    A_  :		int						=					None

    return value


class 							_lowerCAmelCase	:


 """simple docstring"""

 def __init__(      self					,    _lowerCamelCase  )    ->    Any:
    A_  :		Optional[Any]						=					merge_strategy







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase					,    _lowerCamelCase  )    ->    List[Any]:
    A_  :		Optional[Any]						=					FilesArray(self.get_file_handles(_lowerCamelCase					,    _lowerCamelCase  )  )
    with open(_lowerCamelCase					,    """w"""					,    _lowerCamelCase  ) as outfile:
       while buffers.refresh():
          A_  :		Optional[Any]						=					self.merge_strategy.select(buffers.get_dict()  )
          outfile.write(buffers.unshift(_lowerCamelCase  )  )







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase  )    ->    Any:
    A_  :		Optional[int]						=					{}

    for i in range(len(_lowerCamelCase  )  ):
       A_  :		str						=					open(filenames[i]					,    """r"""					,    _lowerCamelCase  )  # noqa: UP015

    return files


class 							_lowerCAmelCase	:


 """simple docstring"""

 def __init__(      self					,    _lowerCamelCase  )    ->    int:
    A_  :		Optional[Any]						=					block_size







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase=None  )    ->    str:
    A_  :		List[Any]						=					self.get_number_blocks(_lowerCamelCase					,    self.block_size  )
    A_  :		Optional[Any]						=					FileSplitter(_lowerCamelCase  )
    splitter.split(self.block_size					,    _lowerCamelCase  )

    A_  :		str						=					FileMerger(NWayMerge()  )
    A_  :		str						=					self.block_size / (num_blocks + 1)
    merger.merge(splitter.get_block_filenames()					,    filename + """.out"""					,    _lowerCamelCase  )

    splitter.cleanup()







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase  )    ->    Optional[int]:
    return (os.stat(_lowerCamelCase  ).st_size / block_size) + 1



def     UpperCAmelCase     (    a_		)   ->       Optional[Any]:



   """simple docstring"""






   if string[-1].lower() == "k":
      return int(string[:-1]		) * 1_0_2_4
   elif string[-1].lower() == "m":
      return int(string[:-1]		) * 1_0_2_4 * 1_0_2_4
   elif string[-1].lower() == "g":
      return int(string[:-1]		) * 1_0_2_4 * 1_0_2_4 * 1_0_2_4
   else:
      return int(a_		)



def     UpperCAmelCase     (    )   ->       str:



   """simple docstring"""






   A_  :		Union[str, 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"""		)
   A_  :		List[Any]						=					parser.parse_args()

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


if __name__ == "__main__":
  main()





'''simple docstring'''





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


class 							_lowerCAmelCase	(  enum.Enum							):


 """simple docstring"""

 lowerCamelCase									=     '''timm'''
 lowerCamelCase									=     '''transformers'''



def     UpperCAmelCase     (    a_      ,		a_      ,		a_		)   ->       Optional[Any]:



   """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(a_      ,		(list,)		):
         raise ValueError(F"out_features must be a list {type(a_		)}"		)
      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(a_      ,		(list, tuple)		):
         raise ValueError(F"out_indices must be a list or tuple, got {type(a_		)}"		)
      if any(idx >= len(a_		) 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(a_		) != len(a_		):
         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     UpperCAmelCase     (    a_      ,		a_      ,		a_      ,		)   ->       Dict:



   """simple docstring"""






   if out_indices is None and out_features is None:
      A_  :		Optional[Any]						=					[len(a_		) - 1]
      A_  :		Optional[int]						=					[stage_names[-1]]
   elif out_indices is None and out_features is not None:
      A_  :		Optional[Any]						=					[stage_names.index(a_		) for layer in out_features]
   elif out_features is None and out_indices is not None:
      A_  :		int						=					[stage_names[idx] for idx in out_indices]
   return out_features, out_indices



def     UpperCAmelCase     (    a_      ,		a_      ,		a_      ,		)   ->       Tuple[List[str], List[int]]:



   """simple docstring"""






   verify_out_features_out_indices(out_features=a_      ,		out_indices=a_      ,		stage_names=a_		)
   A_						,  A_  :		List[Any]						=					_align_output_features_output_indices(
       out_features=a_      ,		out_indices=a_      ,		stage_names=a_		)
   # Verify that the aligned out_features and out_indices are valid
   verify_out_features_out_indices(out_features=a_      ,		out_indices=a_      ,		stage_names=a_		)
   return output_features, output_indices


class 							_lowerCAmelCase	:


 """simple docstring"""

 lowerCamelCase									=     None







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    None:
    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']
    A_  :		str						=					[stage["""module"""] for stage in self._backbone.feature_info.info]
    A_  :		Any						=					[stage["""num_chs"""] for stage in self._backbone.feature_info.info]
    A_  :		Tuple						=					self._backbone.feature_info.out_indices
    A_  :		str						=					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  )
    A_						,  A_  :		List[Any]						=					out_features, out_indices







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    None:
    A_  :		List[Any]						=					getattr(_lowerCamelCase					,    """stage_names"""  )
    A_  :		int						=					getattr(_lowerCamelCase					,    """out_features"""					,    _lowerCamelCase  )
    A_  :		Optional[int]						=					getattr(_lowerCamelCase					,    """out_indices"""					,    _lowerCamelCase  )

    A_  :		Union[str, Any]						=					stage_names
    A_						,  A_  :		List[str]						=					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
    A_  :		int						=					None







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    None:
    A_  :		Optional[Any]						=					config

    A_  :		Optional[Any]						=					getattr(_lowerCamelCase					,    """use_timm_backbone"""					,    _lowerCamelCase  )
    A_  :		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  )    ->    List[str]:
    return self._out_features







 @out_features.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Any:
    A_						,  A_  :		Union[str, Any]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







 @property
 def       UpperCAmelCase_       (      self  )    ->    Any:
    return self._out_indices







 @out_indices.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Union[str, Any]:
    A_						,  A_  :		List[str]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







 @property
 def       UpperCAmelCase_       (      self  )    ->    Dict:
    # the current backbones will output the number of channels for each stage
    # even if that stage is not in the out_features list.
    return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names  )}







 @property
 def       UpperCAmelCase_       (      self  )    ->    Any:
    return [self.out_feature_channels[name] for name in self.out_features]







 def       UpperCAmelCase_       (      self					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    List[Any]:
    A_  :		Optional[int]						=					dict(inspect.signature(self.forward  ).parameters  )
    A_  :		str						=					{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					,    )    ->    List[Any]:
    raise NotImplementedError("""This method should be implemented by the derived class."""  )







 def       UpperCAmelCase_       (      self  )    ->    List[str]:
    A_  :		Optional[int]						=					super().to_dict()
    A_  :		Union[str, Any]						=					output.pop("""_out_features"""  )
    A_  :		int						=					output.pop("""_out_indices"""  )
    return output


class 							_lowerCAmelCase	:


 """simple docstring"""

 @property
 def       UpperCAmelCase_       (      self  )    ->    Union[str, Any]:
    return self._out_features







 @out_features.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    List[str]:
    A_						,  A_  :		List[str]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







 @property
 def       UpperCAmelCase_       (      self  )    ->    List[Any]:
    return self._out_indices







 @out_indices.setter
 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    str:
    A_						,  A_  :		Union[str, Any]						=					get_aligned_output_features_output_indices(
        out_features=_lowerCamelCase					,    out_indices=_lowerCamelCase					,    stage_names=self.stage_names  )







 def       UpperCAmelCase_       (      self  )    ->    List[str]:
    A_  :		Optional[int]						=					super().to_dict()
    A_  :		Tuple						=					output.pop("""_out_features"""  )
    A_  :		Optional[Any]						=					output.pop("""_out_indices"""  )
    return output
