



'''simple docstring'''




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

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

class     UpperCamelCase_				:





	def __init__(						self	,	A					)    ->    Tuple:







								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
															UpperCAmelCase  :	int							  =	deepcopy(A					)
								elif os.path.exists(A					):
															with io.open(A	,	"""r"""	,	encoding="""utf-8"""					) as f:
																						UpperCAmelCase  :	int							  =	json.load(A					)
								else:
															try:
																						UpperCAmelCase  :	int							  =	baseaa.urlsafe_baadecode(A					).decode("""utf-8"""					)
																						UpperCAmelCase  :	List[Any]							  =	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}'''					)

								UpperCAmelCase  :	List[str]							  =	config

								self.set_stage_and_offload()





	def 				_lowercase(						self					)    ->    List[str]:
								UpperCAmelCase  :	Optional[int]							  =	self.get_value("""zero_optimization.stage"""	,	-1					)

								# offload
								UpperCAmelCase  :	Union[str, Any]							  =	False
								if self.is_zeroa() or self.is_zeroa():
															UpperCAmelCase  :	Union[str, Any]							  =	set(["""cpu""", """nvme"""]					)
															UpperCAmelCase  :	Any							  =	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:
																						UpperCAmelCase  :	Union[str, Any]							  =	True





	def 				_lowercase(						self	,	A					)    ->    List[str]:
								UpperCAmelCase  :	str							  =	self.config

								# find the config node of interest if it exists
								UpperCAmelCase  :	Any							  =	ds_key_long.split("""."""					)
								UpperCAmelCase  :	List[Any]							  =	nodes.pop()
								for node in nodes:
															UpperCAmelCase  :	int							  =	config.get(A					)
															if config is None:
																						return None, ds_key

								return config, ds_key





	def 				_lowercase(						self	,	A	,	A=None					)    ->    Tuple:
								UpperCAmelCase  ,  UpperCAmelCase  :	List[Any]							  =	self.find_config_node(A					)
								if config is None:
															return default
								return config.get(A	,	A					)





	def 				_lowercase(						self	,	A	,	A=False					)    ->    int:
								UpperCAmelCase  :	List[str]							  =	self.config

								# find the config node of interest if it exists
								UpperCAmelCase  :	Tuple							  =	ds_key_long.split("""."""					)
								for node in nodes:
															UpperCAmelCase  :	Optional[int]							  =	config
															UpperCAmelCase  :	Optional[Any]							  =	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 				_lowercase(						self	,	A					)    ->    List[str]:
								UpperCAmelCase  :	Dict							  =	self.get_value(A					)
								return False if value is None else bool(A					)





	def 				_lowercase(						self	,	A					)    ->    List[Any]:
								UpperCAmelCase  :	Optional[int]							  =	self.get_value(A					)
								return False if value is None else not bool(A					)





	def 				_lowercase(						self					)    ->    List[str]:
								return self._stage == 2





	def 				_lowercase(						self					)    ->    Any:
								return self._stage == 3






	def 				_lowercase(						self					)    ->    List[Any]:
								return self._offload




class     UpperCamelCase_				:





	def __init__(						self	,	A					)    ->    str:
								UpperCAmelCase  :	List[str]							  =	engine






	def 				_lowercase(						self	,	A	,	**A					)    ->    List[str]:
								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     UpperCamelCase_				(							__magic_name__    ):





	def __init__(						self	,	A					)    ->    Any:
								super().__init__(A	,	device_placement=A	,	scaler=A					)
								UpperCAmelCase  :	Any							  =	hasattr(self.optimizer	,	"""overflow"""					)





	def 				_lowercase(						self	,	A=None					)    ->    str:
								pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed





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






	@property
	def 				_lowercase(						self					)    ->    str:







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




class     UpperCamelCase_				(							__magic_name__    ):





	def __init__(						self	,	A	,	A					)    ->    Tuple:
								super().__init__(A	,	A					)






	def 				_lowercase(						self					)    ->    str:
								pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




class     UpperCamelCase_				:





	def __init__(						self	,	A	,	A=0.0_0_1	,	A=0	,	**A					)    ->    Union[str, Any]:
								UpperCAmelCase  :	Any							  =	params
								UpperCAmelCase  :	int							  =	lr
								UpperCAmelCase  :	Tuple							  =	weight_decay
								UpperCAmelCase  :	Dict							  =	kwargs




class     UpperCamelCase_				:





	def __init__(						self	,	A	,	A=None	,	A=0	,	**A					)    ->    Optional[Any]:
								UpperCAmelCase  :	Tuple							  =	optimizer
								UpperCAmelCase  :	Optional[int]							  =	total_num_steps
								UpperCAmelCase  :	Tuple							  =	warmup_num_steps
								UpperCAmelCase  :	Union[str, Any]							  =	kwargs






'''simple docstring'''




def    __lowerCamelCase						(      _lowercase = "The quick brown fox jumps over the lazy dog"			,       )   ->    bool:
							UpperCAmelCase  :	Union[str, Any]							  =	set()

							# Replace all the whitespace in our sentence
							UpperCAmelCase  :	List[str]							  =	input_str.replace(""" """			,       """"""	)
							for alpha in input_str:
														if "a" <= alpha.lower() <= "z":
																					frequency.add(alpha.lower()	)
							return len(_lowercase	) == 2_6



def    __lowerCamelCase						(      _lowercase = "The quick brown fox jumps over the lazy dog"			,       )   ->    bool:
							UpperCAmelCase  :	Tuple							  =	[False] * 2_6
							for char in input_str:
														if char.islower():
																					UpperCAmelCase  :	Any							  =	True
														elif char.isupper():
																					UpperCAmelCase  :	Union[str, Any]							  =	True
							return all(_lowercase	)



def    __lowerCamelCase						(      _lowercase = "The quick brown fox jumps over the lazy dog"			,       )   ->    bool:
							return len({char for char in input_str.lower() if char.isalpha()}	) == 2_6



def    __lowerCamelCase						(      )   ->    None:
							from timeit import timeit

							UpperCAmelCase  :	str							  =	"""from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
							print(timeit("""is_pangram()"""			,       setup=_lowercase	)	)
							print(timeit("""is_pangram_faster()"""			,       setup=_lowercase	)	)
							print(timeit("""is_pangram_fastest()"""			,       setup=_lowercase	)	)
							# 5.348480500048026, 2.6477354579837993, 1.8470395830227062
							# 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							benchmark()

