"""simple docstring"""
import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler



class      lowerCAmelCase_			:



				"""simple docstring"""

				def __init__( self						,			lowerCAmelCase			):






										"""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
																snake_case	    =	deepcopy(__a			)
										elif os.path.exists(__a			):
																with io.open(__a						,			'r'						,			encoding='utf-8'			) as f:
																						snake_case	    =	json.load(__a			)
										else:
																try:
																						snake_case	    =	baseaa.urlsafe_baadecode(__a			).decode('utf-8'			)
																						snake_case	    =	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}"""			)

										snake_case	    =	config

										self.set_stage_and_offload()

				def 						snake_case       ( self			):






										"""simple docstring"""

										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 						snake_case       ( self						,			lowerCAmelCase			):






										"""simple docstring"""

										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(__a			)
																if config is None:
																						return None, ds_key

										return config, ds_key

				def 						snake_case       ( self						,			lowerCAmelCase						,			lowerCAmelCase=None			):






										"""simple docstring"""

										snake_case    ,snake_case	    =	self.find_config_node(__a			)
										if config is None:
																return default
										return config.get(__a						,			__a			)

				def 						snake_case       ( self						,			lowerCAmelCase						,			lowerCAmelCase=False			):






										"""simple docstring"""

										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(__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 						snake_case       ( self						,			lowerCAmelCase			):






										"""simple docstring"""

										snake_case	    =	self.get_value(__a			)
										return False if value is None else bool(__a			)

				def 						snake_case       ( self						,			lowerCAmelCase			):






										"""simple docstring"""

										snake_case	    =	self.get_value(__a			)
										return False if value is None else not bool(__a			)

				def 						snake_case       ( self			):






										"""simple docstring"""

										return self._stage == 2

				def 						snake_case       ( self			):






										"""simple docstring"""

										return self._stage == 3

				def 						snake_case       ( self			):






										"""simple docstring"""

										return self._offload





class      lowerCAmelCase_			:



				"""simple docstring"""

				def __init__( self						,			lowerCAmelCase			):






										"""simple docstring"""

										snake_case	    =	engine

				def 						snake_case       ( self						,			lowerCAmelCase						,			**lowerCAmelCase			):






										"""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      lowerCAmelCase_			(	UpperCamelCase__    ):



				"""simple docstring"""

				def __init__( self						,			lowerCAmelCase			):






										"""simple docstring"""

										super().__init__(__a						,			device_placement=__a						,			scaler=__a			)
										snake_case	    =	hasattr(self.optimizer						,			'overflow'			)

				def 						snake_case       ( self						,			lowerCAmelCase=None			):






										"""simple docstring"""

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

				def 						snake_case       ( self			):






										"""simple docstring"""

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

				@property
				def 						snake_case       ( self			):






										"""simple docstring"""

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





class      lowerCAmelCase_			(	UpperCamelCase__    ):



				"""simple docstring"""

				def __init__( self						,			lowerCAmelCase						,			lowerCAmelCase			):






										"""simple docstring"""

										super().__init__(__a						,			__a			)

				def 						snake_case       ( self			):






										"""simple docstring"""

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





class      lowerCAmelCase_			:



				"""simple docstring"""

				def __init__( self						,			lowerCAmelCase						,			lowerCAmelCase=0.0_01						,			lowerCAmelCase=0						,			**lowerCAmelCase			):






										"""simple docstring"""

										snake_case	    =	params
										snake_case	    =	lr
										snake_case	    =	weight_decay
										snake_case	    =	kwargs





class      lowerCAmelCase_			:



				"""simple docstring"""

				def __init__( self						,			lowerCAmelCase						,			lowerCAmelCase=None						,			lowerCAmelCase=0						,			**lowerCAmelCase			):






										"""simple docstring"""

										snake_case	    =	optimizer
										snake_case	    =	total_num_steps
										snake_case	    =	warmup_num_steps
										snake_case	    =	kwargs



'''simple docstring'''





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : int			)    ->      str:


     '''simple docstring'''




     if a < 0 or b < 0:
          raise ValueError("the value of both inputs must be positive"			)
     UpperCAmelCase_           =   str(bin(snake_case_			)			)[2:]  # remove the leading "0b"
     UpperCAmelCase_           =   str(bin(snake_case_			)			)[2:]
     UpperCAmelCase_           =   max(len(snake_case_			)					,    len(snake_case_			)			)
     return "0b" + "".join(
         str(int("1" in (char_a, char_b)			)			)
         for char_a, char_b in zip(a_binary.zfill(snake_case_			)					,    b_binary.zfill(snake_case_			)			)			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()




