





import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler
class        SCREAMING_SNAKE_CASE     :


   def __init__(					self    :       int    ,  a    :       Tuple )->     Tuple:





     """simple docstring"""







     if isinstance(a    ,  a ):
       # Don't modify user's data should they want to reuse it (e.g. in tests), because once we
       # modified it, it will not be accepted here again, since `auto` values would have been overridden
       lowercase__			    =						deepcopy(a )
     elif os.path.exists(a ):
       with io.open(a    ,  'r'    ,  encoding='utf-8' ) as f:
         lowercase__			    =						json.load(a )
     else:
       try:
         lowercase__			    =						baseaa.urlsafe_baadecode(a ).decode('utf-8' )
         lowercase__			    =						json.loads(a )
       except (UnicodeDecodeError, AttributeError, ValueError):
         raise ValueError(
             f"""Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}""" )

     lowercase__			    =						config

     self.set_stage_and_offload()


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     List[str]:





     """simple docstring"""







     lowercase__			    =						self.get_value('zero_optimization.stage'    ,  -1 )

     # offload
     lowercase__			    =						False
     if self.is_zeroa() or self.is_zeroa():
       lowercase__			    =						set(['cpu', 'nvme'] )
       lowercase__			    =						set(
           [
               self.get_value('zero_optimization.offload_optimizer.device' ),
               self.get_value('zero_optimization.offload_param.device' ),
           ] )
       if len(offload_devices & offload_devices_valid ) > 0:
         lowercase__			    =						True


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       Dict )->     List[str]:





     """simple docstring"""







     lowercase__			    =						self.config

     # find the config node of interest if it exists
     lowercase__			    =						ds_key_long.split('.' )
     lowercase__			    =						nodes.pop()
     for node in nodes:
       lowercase__			    =						config.get(a )
       if config is None:
         return None, ds_key

     return config, ds_key


   def  SCREAMING_SNAKE_CASE_							(					self    :       str    ,  a    :       Dict    ,  a    :       List[Any]=None )->     Tuple:





     """simple docstring"""







     lowercase__    ,					lowercase__			    =						self.find_config_node(a )
     if config is None:
       return default
     return config.get(a    ,  a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       int    ,  a    :       Optional[Any]=False )->     int:





     """simple docstring"""







     lowercase__			    =						self.config

     # find the config node of interest if it exists
     lowercase__			    =						ds_key_long.split('.' )
     for node in nodes:
       lowercase__			    =						config
       lowercase__			    =						config.get(a )
       if config is None:
         if must_exist:
           raise ValueError(f"""Can't find {ds_key_long} entry in the config: {self.config}""" )
         else:
           return

        # if found remove it
     if parent_config is not None:
       parent_config.pop(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       Dict )->     List[str]:





     """simple docstring"""







     lowercase__			    =						self.get_value(a )
     return False if value is None else bool(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str]    ,  a    :       List[str] )->     List[Any]:





     """simple docstring"""







     lowercase__			    =						self.get_value(a )
     return False if value is None else not bool(a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Tuple )->     List[str]:





     """simple docstring"""







     return self._stage == 2


   def  SCREAMING_SNAKE_CASE_							(					self    :       Any )->     Any:





     """simple docstring"""







     return self._stage == 3


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[Any] )->     List[Any]:





     """simple docstring"""







     return self._offload






class        SCREAMING_SNAKE_CASE     :


   def __init__(					self    :       Tuple    ,  a    :       Optional[int] )->     str:





     """simple docstring"""







     lowercase__			    =						engine


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any]    ,  a    :       Dict    ,  **a    :       List[str] )->     List[str]:





     """simple docstring"""







     self.engine.backward(a    ,  **a )

     # Deepspeed's `engine.step` performs the following operations:
     # - gradient accumulation check
     # - gradient clipping
     # - optimizer step
     # - zero grad
     # - checking overflow
     # - lr_scheduler step (only if engine.lr_scheduler is not None)
     self.engine.step()
     # and this plugin overrides the above calls with no-ops when Accelerate runs under
     # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
     # training loop that works transparently under many training regimes.






class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):


   def __init__(					self    :       Optional[int]    ,  a    :       str )->     Any:





     """simple docstring"""







     super().__init__(a    ,  device_placement=a    ,  scaler=a )
     lowercase__			    =						hasattr(self.optimizer    ,  'overflow' )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int]    ,  a    :       Optional[Any]=None )->     str:





     """simple docstring"""







     pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any] )->     Any:





     """simple docstring"""







     pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       List[Any] )->     str:





     """simple docstring"""







     if self.__has_overflow__:
       return self.optimizer.overflow
     return False






class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):


   def __init__(					self    :       str    ,  a    :       Optional[int]    ,  a    :       Union[str, Any] )->     Tuple:





     """simple docstring"""







     super().__init__(a    ,  a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       Optional[int] )->     str:





     """simple docstring"""







     pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed






class        SCREAMING_SNAKE_CASE     :


   def __init__(					self    :       Tuple    ,  a    :       List[str]    ,  a    :       Dict=0.001    ,  a    :       int=0    ,  **a    :       Any )->     Union[str, Any]:





     """simple docstring"""







     lowercase__			    =						params
     lowercase__			    =						lr
     lowercase__			    =						weight_decay
     lowercase__			    =						kwargs






class        SCREAMING_SNAKE_CASE     :


   def __init__(					self    :       str    ,  a    :       List[str]    ,  a    :       List[Any]=None    ,  a    :       Dict=0    ,  **a    :       Union[str, Any] )->     Optional[Any]:





     """simple docstring"""







     lowercase__			    =						optimizer
     lowercase__			    =						total_num_steps
     lowercase__			    =						warmup_num_steps
     lowercase__			    =						kwargs









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  stooge(_SCREAMING_SNAKE_CASE	,		0	,		len(_SCREAMING_SNAKE_CASE	) - 1	)
  return arr




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     int:
  if i >= h:
    return

  # If first element is smaller than the last then swap them
  if arr[i] > arr[h]:
    lowercase__    ,					lowercase__			    =						arr[h], arr[i]

  # If there are more than 2 elements in the array
  if h - i + 1 > 2:
    lowercase__			    =						(int)((h - i + 1) / 3	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)

    # Recursively sort last 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		i + t	,		(_SCREAMING_SNAKE_CASE)	)

    # Recursively sort first 2/3 elements
    stooge(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		(h - t)	)


if __name__ == "__main__":
      lowercase_					     =	input("""Enter numbers separated by a comma:\n""").strip()
      lowercase_					     =	[int(item) for item in user_input.split(""",""")]
      print(stooge_sort(unsorted))


