'''simple docstring'''
import argparse
import os






class       __lowercase		:







     """simple docstring"""






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







     def __init__(		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						List[str]		     =	filename
         __UpperCamelCase						:						str		     =	[]







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Optional[Any]		     =	self.BLOCK_FILENAME_FORMAT.format(lowerCAmelCase_     )
         with open(lowerCAmelCase_  ,      'w'     ) as file:
             file.write(lowerCAmelCase_     )
         self.block_filenames.append(lowerCAmelCase_     )







     def lowerCAmelCase  (		self     ):
         return self.block_filenames







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase=None     ):
         __UpperCamelCase						:						Optional[Any]		     =	0
         with open(self.filename     ) as file:
             while True:
                 __UpperCamelCase						:						Tuple		     =	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 lowerCAmelCase  (		self     ):
         map(os.remove  ,      self.block_filenames     )






class       __lowercase		:







     """simple docstring"""






     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Union[str, Any]		     =	-1
         __UpperCamelCase						:						Optional[Any]		     =	None

         for i in range(len(lowerCAmelCase_     )     ):
             if min_str is None or choices[i] < min_str:
                 __UpperCamelCase						:						Optional[Any]		     =	i

         return min_index






class       __lowercase		:







     """simple docstring"""






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







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







     def lowerCAmelCase  (		self     ):
         for i in range(self.num_buffers     ):
             if self.buffers[i] is None and i not in self.empty:
                 __UpperCamelCase						:						Tuple		     =	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 lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Optional[int]		     =	self.buffers[index]
         __UpperCamelCase						:						List[Any]		     =	None

         return value






class       __lowercase		:







     """simple docstring"""






     def __init__(		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						int		     =	merge_strategy







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						Optional[Any]		     =	FilesArray(self.get_file_handles(lowerCAmelCase_  ,      lowerCAmelCase_     )     )
         with open(lowerCAmelCase_  ,      'w'  ,      lowerCAmelCase_     ) as outfile:
             while buffers.refresh():
                 __UpperCamelCase						:						Tuple		     =	self.merge_strategy.select(buffers.get_dict()     )
                 outfile.write(buffers.unshift(lowerCAmelCase_     )     )







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						str		     =	{}

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

         return files






class       __lowercase		:







     """simple docstring"""






     def __init__(		self  ,      _lowerCamelCase     ):
         __UpperCamelCase						:						int		     =	block_size







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase=None     ):
         __UpperCamelCase						:						Any		     =	self.get_number_blocks(lowerCAmelCase_  ,      self.block_size     )
         __UpperCamelCase						:						Any		     =	FileSplitter(lowerCAmelCase_     )
         splitter.split(self.block_size  ,      lowerCAmelCase_     )

         __UpperCamelCase						:						Optional[int]		     =	FileMerger(NWayMerge()     )
         __UpperCamelCase						:						str		     =	self.block_size / (num_blocks + 1)
         merger.merge(splitter.get_block_filenames()  ,      filename + '.out'  ,      lowerCAmelCase_     )

         splitter.cleanup()







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







def 			_UpperCamelCase			(  _a						:						Optional[int]      ):




    """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			(  ):




    """simple docstring"""



    __UpperCamelCase						:						List[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'      )
    __UpperCamelCase						:						int		     =	parser.parse_args()

    __UpperCamelCase						:						List[Any]		     =	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_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A							     = {
    "configuration_marian": ["MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "MarianConfig", "MarianOnnxConfig"],
}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = ["MarianTokenizer"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = [
         "MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST",
         "MarianForCausalLM",
         "MarianModel",
         "MarianMTModel",
         "MarianPreTrainedModel",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = ["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A							     = ["FlaxMarianModel", "FlaxMarianMTModel", "FlaxMarianPreTrainedModel"]

if TYPE_CHECKING:
     from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_marian import MarianTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_marian import (
              MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
              MarianForCausalLM,
              MarianModel,
              MarianMTModel,
              MarianPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
     import sys

     A							     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

