






"""simple docstring"""




from dataclasses import dataclass

_snake_case					   =     '''0.1'''
_snake_case					   =     '''Lucia Harcekova'''




@dataclass
class  UpperCamelCase    :
 UpperCamelCase      : int
 UpperCamelCase      : int
 UpperCamelCase      : str


 def __repr__(  self	:		int							)      -> str:
   return f"""({self.offset}, {self.length}, {self.indicator})"""







class  UpperCamelCase    :


 def __init__(  self	:		Dict							,		UpperCAmelCase__	:		int = 13							,		UpperCAmelCase__	:		int = 6							)      -> None:
   _a						: Optional[int]    =			window_size
   _a						: Optional[Any]    =			lookahead_buffer_size
   _a						: Union[str, Any]    =			self.window_size - self.lookahead_buffer_size


 def _lowercase			(  self	:		Optional[int]							,		UpperCAmelCase__	:		str							)      -> list[Token]:
   _a						: List[Any]    =			[]
   _a						: Optional[int]    =			''

   # while there are still characters in text to compress
   while text:
     # find the next encoding phrase
     # - triplet with offset, length, indicator (the next encoding character)
     _a						: int    =			self._find_encoding_token(_A							,		_A							)

     # update the search buffer:
     # - add new characters from text into it
     # - check if size exceed the max search buffer size, if so, drop the
     #   oldest elements
     search_buffer += text[: token.length + 1]
     if len(_A							) > self.search_buffer_size:
       _a						: List[Any]    =			search_buffer[-self.search_buffer_size :]

     # update the text
     _a						: Tuple    =			text[token.length + 1 :]

     # append the token to output
     output.append(_A							)

   return output


 def _lowercase			(  self	:		Tuple							,		UpperCAmelCase__	:		list[Token]							)      -> str:
   _a						: Tuple    =			''

   for token in tokens:
     for _ in range(token.length							):
       output += output[-token.offset]
     output += token.indicator

   return output


 def _lowercase			(  self	:		Optional[int]							,		UpperCAmelCase__	:		str							,		UpperCAmelCase__	:		str							)      -> Token:

   if not text:
     raise ValueError("""We need some text to work with."""							)

   # Initialise result parameters to default values
   _a						: Tuple    =			0, 0

   if not search_buffer:
     return Token(_A							,		_A							,		text[length]							)

   for i, character in enumerate(_A							):
     _a						: List[str]    =			len(_A							) - i
     if character == text[0]:
       _a						: Any    =			self._match_length_from_index(_A							,		_A							,		0							,		_A							)
       # if the found length is bigger than the current or if it's equal,
       # which means it's offset is smaller: update offset and length
       if found_length >= length:
         _a						: Tuple    =			found_offset, found_length

   return Token(_A							,		_A							,		text[length]							)







 def _lowercase			(  self	:		str							,		UpperCAmelCase__	:		str							,		UpperCAmelCase__	:		str							,		UpperCAmelCase__	:		int							,		UpperCAmelCase__	:		int							)      -> int:
   if not text or text[text_index] != window[window_index]:
     return 0
   return 1 + self._match_length_from_index(
       _A							,		window + text[text_index]							,		text_index + 1							,		window_index + 1							)


if __name__ == "__main__":
 from doctest import testmod

 testmod()
 # Initialize compressor class
 _snake_case					   =     LZaaCompressor(window_size=13, lookahead_buffer_size=6)

 # Example
 _snake_case					   =     '''cabracadabrarrarrad'''
 _snake_case					   =     lzaa_compressor.compress(TEXT)
 print(lzaa_compressor.compress('ababcbababaa'))
 _snake_case					   =     lzaa_compressor.decompress(compressed_text)
 assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."









"""simple docstring"""




import json
import logging
import os
import subprocess
from argparse import ArgumentParser


_snake_case					   =     logging.getLogger(__name__)

def     lowerCAmelCase__  (  ):



  '''simple docstring'''
  _a						: Any    =			ArgumentParser()
  _a   ,						_a						: str    =			parser.parse_known_args()
  for arg in unknown:
    if arg.startswith(("""-""", """--""")       ):
      parser.add_argument(arg.split("""="""       )[0]       )

  return parser.parse_args()

def     lowerCAmelCase__  (  ):



  '''simple docstring'''
  _a						: Optional[Any]    =			parse_args()
  _a						: Any    =			8_8_8_8
  _a						: List[str]    =			int(os.environ["""SM_NUM_GPUS"""]       )
  _a						: Union[str, Any]    =			json.loads(os.environ["""SM_HOSTS"""]       )
  _a						: Tuple    =			len(UpperCamelCase__       )
  _a						: Optional[int]    =			os.environ["""SM_CURRENT_HOST"""]
  _a						: Optional[Any]    =			hosts.index(UpperCamelCase__       )
  _a						: List[str]    =			"""INFO"""

  if num_nodes > 1:
    _a						: int    =			F"""python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]       )}"""
  else:
    _a						: Any    =			F"""python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]       )}"""
  try:
    subprocess.run(UpperCamelCase__  ,     shell=UpperCamelCase__       )
  except Exception as e:
    logger.info(UpperCamelCase__       )


if __name__ == "__main__":
 main()

