




'''simple docstring'''


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

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




	def __init__(       self     :  List[str]       ,		__lowerCAmelCase     :  Any      ):
							if isinstance(__lowerCAmelCase       ,		__lowerCAmelCase      ):
													# 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
													__snake_case						 =   deepcopy(__lowerCAmelCase      )
							elif os.path.exists(__lowerCAmelCase      ):
													with io.open(__lowerCAmelCase       ,		'r'       ,		encoding='utf-8'      ) as f:
																			__snake_case						 =   json.load(__lowerCAmelCase      )
							else:
													try:
																			__snake_case						 =   baseaa.urlsafe_baadecode(__lowerCAmelCase      ).decode('utf-8'      )
																			__snake_case						 =   json.loads(__lowerCAmelCase      )
													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}'      )

							__snake_case						 =   config

							self.set_stage_and_offload()




	def   lowercase__   (       self     :  List[Any]      ):
							__snake_case						 =   self.get_value('zero_optimization.stage'       ,		-1      )

							# offload
							__snake_case						 =   False
							if self.is_zeroa() or self.is_zeroa():
													__snake_case						 =   set(['cpu', 'nvme']      )
													__snake_case						 =   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:
																			__snake_case						 =   True




	def   lowercase__   (       self     :  str       ,		__lowerCAmelCase     :  Union[str, Any]      ):
							__snake_case						 =   self.config

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

							return config, ds_key




	def   lowercase__   (       self     :  Any       ,		__lowerCAmelCase     :  Optional[Any]       ,		__lowerCAmelCase     :  int=None      ):
							__snake_case ,       __snake_case						 =   self.find_config_node(__lowerCAmelCase      )
							if config is None:
													return default
							return config.get(__lowerCAmelCase       ,		__lowerCAmelCase      )




	def   lowercase__   (       self     :  List[str]       ,		__lowerCAmelCase     :  Tuple       ,		__lowerCAmelCase     :  Any=False      ):
							__snake_case						 =   self.config

							# find the config node of interest if it exists
							__snake_case						 =   ds_key_long.split('.'      )
							for node in nodes:
													__snake_case						 =   config
													__snake_case						 =   config.get(__lowerCAmelCase      )
													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(__lowerCAmelCase      )




	def   lowercase__   (       self     :  Optional[Any]       ,		__lowerCAmelCase     :  int      ):
							__snake_case						 =   self.get_value(__lowerCAmelCase      )
							return False if value is None else bool(__lowerCAmelCase      )




	def   lowercase__   (       self     :  List[Any]       ,		__lowerCAmelCase     :  Optional[Any]      ):
							__snake_case						 =   self.get_value(__lowerCAmelCase      )
							return False if value is None else not bool(__lowerCAmelCase      )




	def   lowercase__   (       self     :  int      ):
							return self._stage == 2




	def   lowercase__   (       self     :  Dict      ):
							return self._stage == 3




	def   lowercase__   (       self     :  str      ):
							return self._offload





class 						a_				:




	def __init__(       self     :  List[Any]       ,		__lowerCAmelCase     :  Any      ):
							__snake_case						 =   engine




	def   lowercase__   (       self     :  Tuple       ,		__lowerCAmelCase     :  str       ,		**__lowerCAmelCase     :  List[str]      ):
							self.engine.backward(__lowerCAmelCase       ,		**__lowerCAmelCase      )

							# 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 						a_				(			_lowerCAmelCase						):




	def __init__(       self     :  Optional[Any]       ,		__lowerCAmelCase     :  Optional[int]      ):
							super().__init__(__lowerCAmelCase       ,		device_placement=__lowerCAmelCase       ,		scaler=__lowerCAmelCase      )
							__snake_case						 =   hasattr(self.optimizer       ,		'overflow'      )




	def   lowercase__   (       self     :  List[str]       ,		__lowerCAmelCase     :  List[Any]=None      ):
							pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




	def   lowercase__   (       self     :  Optional[int]      ):
							pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




	@property
	def   lowercase__   (       self     :  Optional[int]      ):
							if self.__has_overflow__:
													return self.optimizer.overflow
							return False





class 						a_				(			_lowerCAmelCase						):




	def __init__(       self     :  str       ,		__lowerCAmelCase     :  Optional[int]       ,		__lowerCAmelCase     :  Union[str, Any]      ):
							super().__init__(__lowerCAmelCase       ,		__lowerCAmelCase      )




	def   lowercase__   (       self     :  Any      ):
							pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed





class 						a_				:




	def __init__(       self     :  Optional[Any]       ,		__lowerCAmelCase     :  Tuple       ,		__lowerCAmelCase     :  List[str]=0.001       ,		__lowerCAmelCase     :  Union[str, Any]=0       ,		**__lowerCAmelCase     :  List[Any]      ):
							__snake_case						 =   params
							__snake_case						 =   lr
							__snake_case						 =   weight_decay
							__snake_case						 =   kwargs





class 						a_				:




	def __init__(       self     :  Union[str, Any]       ,		__lowerCAmelCase     :  List[Any]       ,		__lowerCAmelCase     :  Optional[Any]=None       ,		__lowerCAmelCase     :  str=0       ,		**__lowerCAmelCase     :  Any      ):
							__snake_case						 =   optimizer
							__snake_case						 =   total_num_steps
							__snake_case						 =   warmup_num_steps
							__snake_case						 =   kwargs









'''simple docstring'''



from timeit import timeit

__UpperCamelCase   :							int         =   {
    """MALAYALAM""": True,
    """String""": False,
    """rotor""": True,
    """level""": True,
    """A""": True,
    """BB""": True,
    """ABC""": False,
    """amanaplanacanalpanama""": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   __a					  =     0
   __a					  =     len(SCREAMING_SNAKE_CASE__     ) - 1
   while start_i < end_i:
      if s[start_i] == s[end_i]:
         start_i += 1
         end_i -= 1
      else:
         return False
   return True



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   __a					  =     len(SCREAMING_SNAKE_CASE__     ) // 2
   __a					  =     len(SCREAMING_SNAKE_CASE__     )

   # We need to traverse till half of the length of string
   # as we can get access of the i'th last element from
   # i'th index.
   # eg: [0,1,2,3,4,5] => 4th index can be accessed
   # with the help of 1st index (i==n-i-1)
   # where n is length of string
   return all(s[i] == s[n - i - 1] for i in range(SCREAMING_SNAKE_CASE__     )     )



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   if len(SCREAMING_SNAKE_CASE__     ) <= 2:
      return True
   if s[0] == s[len(SCREAMING_SNAKE_CASE__     ) - 1]:
      return is_palindrome_recursive(s[1:-1]     )
   else:
      return False



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   return s == s[::-1]



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      None:

   """simple docstring"""
   __a					  =     f"""all({name}(key) is value for key, value in test_data.items())"""
   __a					  =     f"""from __main__ import test_data, {name}"""
   __a					  =     500000
   __a					  =     timeit(stmt=SCREAMING_SNAKE_CASE__,       setup=SCREAMING_SNAKE_CASE__,       number=SCREAMING_SNAKE_CASE__     )
   print(f"""{name:<35} finished {number:,} runs in {result:.5f} seconds"""     )


if __name__ == "__main__":
 for key, value in test_data.items():
  assert is_palindrome(key) is is_palindrome_recursive(key)
  assert is_palindrome(key) is is_palindrome_slice(key)
  print(f"""{key:21} {value}""")
 print("""a man a plan a canal panama""")

 # finished 500,000 runs in 0.46793 seconds
 benchmark_function("""is_palindrome_slice""")
 # finished 500,000 runs in 0.85234 seconds
 benchmark_function("""is_palindrome""")
 # finished 500,000 runs in 1.32028 seconds
 benchmark_function("""is_palindrome_recursive""")
 # finished 500,000 runs in 2.08679 seconds
 benchmark_function("""is_palindrome_traversal""")