






"""simple docstring"""



import argparse
import os

class 			a	:
    UpperCAmelCase_					:	str      	="block_{0}.dat"







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			filename
      lowercase				       =			[]







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase			):
      lowercase				       =			self.BLOCK_FILENAME_FORMAT.format(_SCREAMING_SNAKE_CASE			)
      with open(_SCREAMING_SNAKE_CASE				,						'w'			) as file:
        file.write(_SCREAMING_SNAKE_CASE			)
      self.block_filenames.append(_SCREAMING_SNAKE_CASE			)







    def      UpperCamelCase_ (     self			):
      return self.block_filenames







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase=None			):
      lowercase				       =			0
      with open(self.filename			) as file:
        while True:
          lowercase				       =			file.readlines(_SCREAMING_SNAKE_CASE			)

          if lines == []:
            break

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

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







    def      UpperCamelCase_ (     self			):
      map(os.remove				,						self.block_filenames			)


class 			a	:







    def      UpperCamelCase_ (     self				,						_lowerCamelCase			):
      lowercase				       =			-1
      lowercase				       =			None

      for i in range(len(_SCREAMING_SNAKE_CASE			)			):
        if min_str is None or choices[i] < min_str:
          lowercase				       =			i

      return min_index


class 			a	:







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			files
      lowercase				       =			set()
      lowercase				       =			len(_SCREAMING_SNAKE_CASE			)
      lowercase				       =			{i: None for i in range(self.num_buffers			)}







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







    def      UpperCamelCase_ (     self			):






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

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

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

      return True







    def      UpperCamelCase_ (     self				,						_lowerCamelCase			):
      lowercase				       =			self.buffers[index]
      lowercase				       =			None

      return value


class 			a	:







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			merge_strategy







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase				,						_lowerCamelCase			):
      lowercase				       =			FilesArray(self.get_file_handles(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE			)			)
      with open(_SCREAMING_SNAKE_CASE				,						'w'				,						_SCREAMING_SNAKE_CASE			) as outfile:
        while buffers.refresh():
          lowercase				       =			self.merge_strategy.select(buffers.get_dict()			)
          outfile.write(buffers.unshift(_SCREAMING_SNAKE_CASE			)			)







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase			):
      lowercase				       =			{}

      for i in range(len(_SCREAMING_SNAKE_CASE			)			):
        lowercase				       =			open(filenames[i]				,						'r'				,						_SCREAMING_SNAKE_CASE			)  # noqa: UP015

      return files


class 			a	:







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			block_size







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase=None			):
      lowercase				       =			self.get_number_blocks(_SCREAMING_SNAKE_CASE				,						self.block_size			)
      lowercase				       =			FileSplitter(_SCREAMING_SNAKE_CASE			)
      splitter.split(self.block_size				,						_SCREAMING_SNAKE_CASE			)

      lowercase				       =			FileMerger(NWayMerge()			)
      lowercase				       =			self.block_size / (num_blocks + 1)
      merger.merge(splitter.get_block_filenames()				,						filename + '.out'				,						_SCREAMING_SNAKE_CASE			)

      splitter.cleanup()







    def      UpperCamelCase_ (     self				,						_lowerCamelCase				,						_lowerCamelCase			):
      return (os.stat(_SCREAMING_SNAKE_CASE			).st_size / block_size) + 1


def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    Dict       ):





  '''simple docstring'''





  if string[-1].lower() == "k":
    return int(string[:-1]       ) * 10_24
  elif string[-1].lower() == "m":
    return int(string[:-1]       ) * 10_24 * 10_24
  elif string[-1].lower() == "g":
    return int(string[:-1]       ) * 10_24 * 10_24 * 10_24
  else:
    return int(UpperCAmelCase__       )
def 		_SCREAMING_SNAKE_CASE					(       ):





  '''simple docstring'''





  lowercase				       =			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'       )
  lowercase				       =			parser.parse_args()

  lowercase				       =			ExternalSort(parse_memory(args.mem       )       )
  sorter.sort(args.filename[0]       )


if __name__ == "__main__":
    main()




'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__SCREAMING_SNAKE_CASE						=      {
    "configuration_markuplm": ["MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarkupLMConfig"],
    "feature_extraction_markuplm": ["MarkupLMFeatureExtractor"],
    "processing_markuplm": ["MarkupLMProcessor"],
    "tokenization_markuplm": ["MarkupLMTokenizer"],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__SCREAMING_SNAKE_CASE						=      ["MarkupLMTokenizerFast"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__SCREAMING_SNAKE_CASE						=      [
	    "MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "MarkupLMForQuestionAnswering",
	    "MarkupLMForSequenceClassification",
	    "MarkupLMForTokenClassification",
	    "MarkupLMModel",
	    "MarkupLMPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
	from .feature_extraction_markuplm import MarkupLMFeatureExtractor
	from .processing_markuplm import MarkupLMProcessor
	from .tokenization_markuplm import MarkupLMTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_markuplm_fast import MarkupLMTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_markuplm import (
		    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MarkupLMForQuestionAnswering,
		    MarkupLMForSequenceClassification,
		    MarkupLMForTokenClassification,
		    MarkupLMModel,
		    MarkupLMPreTrainedModel,
		)


else:
	import sys

	__SCREAMING_SNAKE_CASE						=      _LazyModule(__name__, globals()["__file__"], _import_structure)




