

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



class    A__:
						"""simple docstring"""






						_A  :							List[Any]   			=	'''block_{0}.dat'''





						def __init__(  self       ,     _lowercase  )      ->				str:
									a_		:		Tuple				    =				filename
									a_		:		Dict				    =				[]





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase  )      ->				Dict:
									a_		:		Optional[int]				    =				self.BLOCK_FILENAME_FORMAT.format(_lowercase  )
									with open(_lowercase       ,     """w"""  ) as file:
												file.write(_lowercase  )
									self.block_filenames.append(_lowercase  )





						def 	UpperCamelCase__			(  self  )      ->				Dict:
									return self.block_filenames





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase=None  )      ->				List[Any]:
									a_		:		List[str]				    =				0
									with open(self.filename  ) as file:
												while True:
															a_		:		Dict				    =				file.readlines(_lowercase  )

															if lines == []:
																		break

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

															self.write_block("""""".join(_lowercase  )       ,     _lowercase  )
															i += 1





						def 	UpperCamelCase__			(  self  )      ->				List[Any]:
									map(os.remove       ,     self.block_filenames  )







class    A__:
						"""simple docstring"""






						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				Dict:
									a_		:		Optional[Any]				    =				-1
									a_		:		Any				    =				None

									for i in range(len(_lowercase  )  ):
												if min_str is None or choices[i] < min_str:
															a_		:		Any				    =				i

									return min_index







class    A__:
						"""simple docstring"""






						def __init__(  self       ,     _lowercase  )      ->				Dict:
									a_		:		Optional[int]				    =				files
									a_		:		Union[str, Any]				    =				set()
									a_		:		Optional[int]				    =				len(_lowercase  )
									a_		:		int				    =				{i: None for i in range(self.num_buffers  )}





						def 	UpperCamelCase__			(  self  )      ->				List[Any]:
									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_		:		Union[str, Any]				    =				self.files[i].readline()

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

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

									return True





						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				int:
									a_		:		List[str]				    =				self.buffers[index]
									a_		:		Any				    =				None

									return value







class    A__:
						"""simple docstring"""






						def __init__(  self       ,     _lowercase  )      ->				List[Any]:
									a_		:		str				    =				merge_strategy





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase       ,     _lowercase  )      ->				Dict:
									a_		:		int				    =				FilesArray(self.get_file_handles(_lowercase       ,     _lowercase  )  )
									with open(_lowercase       ,     """w"""       ,     _lowercase  ) as outfile:
												while buffers.refresh():
															a_		:		Any				    =				self.merge_strategy.select(buffers.get_dict()  )
															outfile.write(buffers.unshift(_lowercase  )  )





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase  )      ->				Dict:
									a_		:		Optional[int]				    =				{}

									for i in range(len(_lowercase  )  ):
												a_		:		Union[str, Any]				    =				open(filenames[i]       ,     """r"""       ,     _lowercase  )  # noqa: UP015

									return files







class    A__:
						"""simple docstring"""






						def __init__(  self       ,     _lowercase  )      ->				Optional[Any]:
									a_		:		Any				    =				block_size





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase=None  )      ->				List[str]:
									a_		:		Dict				    =				self.get_number_blocks(_lowercase       ,     self.block_size  )
									a_		:		Optional[int]				    =				FileSplitter(_lowercase  )
									splitter.split(self.block_size       ,     _lowercase  )

									a_		:		Dict				    =				FileMerger(NWayMerge()  )
									a_		:		Dict				    =				self.block_size / (num_blocks + 1)
									merger.merge(splitter.get_block_filenames()       ,     filename + """.out"""       ,     _lowercase  )

									splitter.cleanup()





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase  )      ->				List[Any]:
									return (os.stat(_lowercase  ).st_size / block_size) + 1







def 			_UpperCAmelCase							(		a__):

			'''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'''



			a_		:		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_		:		Dict				    =				parser.parse_args()

			a_		:		int				    =				ExternalSort(parse_memory(args.mem))
			sorter.sort(args.filename[0])


if __name__ == "__main__":
	main()





import sys

from transformers import AutoTokenizer


__snake_case							:     int 						=	sys.argv[1]
__snake_case							:     Dict 						=	sys.argv[2]
__snake_case							:     Dict 						=	int(sys.argv[3])

__snake_case							:     Union[str, Any] 						=	0

__snake_case							:     Any 						=	AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, """rt""") as f_p:
	for line in f_p:
		__snake_case							:     str 						=	line.rstrip()

		if not line:
			print(line)
			__snake_case							:     Optional[int] 						=	0
			continue

		__snake_case							:     Dict 						=	line.split()[0]

		__snake_case							:     str 						=	len(tokenizer.tokenize(token))

		# Token contains strange control characters like \x96 or \x95
		# Just filter out the complete line
		if current_subwords_len == 0:
			continue

		if (subword_len_counter + current_subwords_len) > max_len:
			print("""""")
			print(line)
			__snake_case							:     Optional[int] 						=	current_subwords_len
			continue

		subword_len_counter += current_subwords_len

		print(line)


