

"""simple docstring"""



import json
import os
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import yaml

from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType
from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION


SCREAMING_SNAKE_CASE_       :						Any					=    os.path.expanduser(
    os.getenv('HF_HOME', os.path.join(os.getenv('XDG_CACHE_HOME', '~/.cache'), 'huggingface'))
)
SCREAMING_SNAKE_CASE_       :						str					=    os.path.join(hf_cache_home, 'accelerate')
SCREAMING_SNAKE_CASE_       :						Dict					=    os.path.join(cache_dir, 'default_config.yaml')
SCREAMING_SNAKE_CASE_       :						Tuple					=    os.path.join(cache_dir, 'default_config.yaml')

# For backward compatibility: the default config is the json one if it's the only existing file.
if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file):
 SCREAMING_SNAKE_CASE_       :						Tuple					=    default_yaml_config_file
else:
 SCREAMING_SNAKE_CASE_       :						Optional[Any]					=    default_json_config_file





def 			_snake_case  (     UpperCAmelCase_	:       Union[str, Any]      ):





     if config_file is not None:
          if not os.path.isfile(_snake_case      ):
               raise FileNotFoundError(
                   F"""The passed configuration file `{config_file}` does not exist. """
                   """Please pass an existing file to `accelerate launch`, or use the the default one """
                   """created through `accelerate config` and run `accelerate launch` """
                   """without the `--config_file` argument."""      )
     else:
          A__				      =	default_config_file
     with open(_snake_case       , """r"""       , encoding="""utf-8"""      ) as f:
          if config_file.endswith(""".json"""      ):
               if (
                   json.load(_snake_case      ).get("""compute_environment"""       , ComputeEnvironment.LOCAL_MACHINE      )
                   == ComputeEnvironment.LOCAL_MACHINE
               ):
                    A__				      =	ClusterConfig
               else:
                    A__				      =	SageMakerConfig
               return config_class.from_json_file(json_file=_snake_case      )
          else:
               if (
                   yaml.safe_load(_snake_case      ).get("""compute_environment"""       , ComputeEnvironment.LOCAL_MACHINE      )
                   == ComputeEnvironment.LOCAL_MACHINE
               ):
                    A__				      =	ClusterConfig
               else:
                    A__				      =	SageMakerConfig
               return config_class.from_yaml_file(yaml_file=_snake_case      )



@dataclass
class        a    :



    """simple docstring"""



    UpperCAmelCase    			=       4_2
    UpperCAmelCase    			=       4_2
    UpperCAmelCase    			=       4_2
    UpperCAmelCase    			=       4_2

    def 					UpperCamelCase						(  self:			Any							):






         """simple docstring"""


         A__				      =	self.__dict__
         # For serialization, it's best to convert Enums to strings (or their underlying value type).
         for key, value in result.items():
              if isinstance(a_     ,    a_							):
                   A__				      =	value.value
              if isinstance(a_     ,    a_							) and not bool(a_							):
                   A__				      =	None
         A__				      =	{k: v for k, v in result.items() if v is not None}
         return result

    @classmethod
    def 					UpperCamelCase						(  cls:			Optional[Any]     ,    UpperCamelCase:			int=None							):






         """simple docstring"""


         A__				      =	default_json_config_file if json_file is None else json_file
         with open(a_     ,    """r"""     ,    encoding="""utf-8"""							) as f:
              A__				      =	json.load(a_							)
         if "compute_environment" not in config_dict:
              A__				      =	ComputeEnvironment.LOCAL_MACHINE
         if "mixed_precision" not in config_dict:
              A__				      =	'''fp16''' if ('''fp16''' in config_dict and config_dict['''fp16''']) else None
         if "fp16" in config_dict:  # Convert the config to the new format.
              del config_dict["fp16"]
         if "dynamo_backend" in config_dict:  # Convert the config to the new format.
              A__				      =	config_dict.pop("""dynamo_backend"""							)
              A__				      =	{} if dynamo_backend == '''NO''' else {'''dynamo_backend''': dynamo_backend}
         if "use_cpu" not in config_dict:
              A__				      =	False
         return cls(**a_							)

    def 					UpperCamelCase						(  self:			Dict     ,    UpperCamelCase:			Optional[Any]							):






         """simple docstring"""


         with open(a_     ,    """w"""     ,    encoding="""utf-8"""							) as f:
              A__				      =	json.dumps(self.to_dict()     ,    indent=2     ,    sort_keys=a_							) + '''\n'''
              f.write(a_							)

    @classmethod
    def 					UpperCamelCase						(  cls:			Dict     ,    UpperCamelCase:			Dict=None							):






         """simple docstring"""


         A__				      =	default_yaml_config_file if yaml_file is None else yaml_file
         with open(a_     ,    """r"""     ,    encoding="""utf-8"""							) as f:
              A__				      =	yaml.safe_load(a_							)
         if "compute_environment" not in config_dict:
              A__				      =	ComputeEnvironment.LOCAL_MACHINE

         if "mixed_precision" not in config_dict:
              A__				      =	'''fp16''' if ('''fp16''' in config_dict and config_dict['''fp16''']) else None
         if isinstance(config_dict["""mixed_precision"""]     ,    a_							) and not config_dict["mixed_precision"]:
              A__				      =	'''no'''
         if "fp16" in config_dict:  # Convert the config to the new format.
              del config_dict["fp16"]
         if "dynamo_backend" in config_dict:  # Convert the config to the new format.
              A__				      =	config_dict.pop("""dynamo_backend"""							)
              A__				      =	{} if dynamo_backend == '''NO''' else {'''dynamo_backend''': dynamo_backend}
         if "use_cpu" not in config_dict:
              A__				      =	False
         return cls(**a_							)

    def 					UpperCamelCase						(  self:			Tuple     ,    UpperCamelCase:			Union[str, Any]							):






         """simple docstring"""


         with open(a_     ,    """w"""     ,    encoding="""utf-8"""							) as f:
              yaml.safe_dump(self.to_dict()     ,    a_							)





    def 					UpperCamelCase						(  self:			List[Any]							):






         """simple docstring"""


         if isinstance(self.compute_environment     ,    a_							):
              A__				      =	ComputeEnvironment(self.compute_environment							)
         if isinstance(self.distributed_type     ,    a_							):
              if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
                   A__				      =	SageMakerDistributedType(self.distributed_type							)
              else:
                   A__				      =	DistributedType(self.distributed_type							)
         if self.dynamo_config is None:
              A__				      =	{}



@dataclass
class        a    (							__snake_case					):



    """simple docstring"""



    UpperCAmelCase    			=       4_2
    UpperCAmelCase    			=       0
    UpperCAmelCase    			=       1
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       "static"
    UpperCAmelCase    			=       False
    UpperCAmelCase    			=       "main"

    # args for deepspeed_plugin
    UpperCAmelCase    			=       None
    # args for fsdp
    UpperCAmelCase    			=       None
    # args for megatron_lm
    UpperCAmelCase    			=       None
    # args for ipex
    UpperCAmelCase    			=       None
    # args for TPU
    UpperCAmelCase    			=       False

    # args for TPU pods
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       False
    UpperCAmelCase    			=       False
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None

    # args for dynamo
    UpperCAmelCase    			=       None

    def 					UpperCamelCase						(  self:			Optional[Any]							):






         """simple docstring"""


         if self.deepspeed_config is None:
              A__				      =	{}
         if self.fsdp_config is None:
              A__				      =	{}
         if self.megatron_lm_config is None:
              A__				      =	{}
         if self.ipex_config is None:
              A__				      =	{}
         return super().__post_init__()



@dataclass
class        a    (							__snake_case					):



    """simple docstring"""



    UpperCAmelCase    			=       4_2
    UpperCAmelCase    			=       4_2
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       "us-east-1"
    UpperCAmelCase    			=       1
    UpperCAmelCase    			=       "all"
    UpperCAmelCase    			=       F'accelerate-sagemaker-{num_machines}'
    UpperCAmelCase    			=       SAGEMAKER_PYTORCH_VERSION
    UpperCAmelCase    			=       SAGEMAKER_TRANSFORMERS_VERSION
    UpperCAmelCase    			=       SAGEMAKER_PYTHON_VERSION
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None
    UpperCAmelCase    			=       None










"""simple docstring"""
from __future__ import annotations

import math
import random






def 						lowercase				(	_snake_case		: int	,  _snake_case		: int	,  _snake_case		: int	)	->list[int]:
	"""simple docstring"""





	__snake_case      :		Tuple         =							d * e - 1
	__snake_case      :		List[str]         =							0
	__snake_case      :		Dict         =							0
	while p == 0:
		__snake_case      :		str         =							random.randint(2	,  n - 1	)
		__snake_case      :		int         =							k
		while True:
			if t % 2 == 0:
				__snake_case      :		int         =							t // 2
				__snake_case      :		int         =							(g**t) % n
				__snake_case      :		Optional[Any]         =							math.gcd(x - 1	,  _snake_case	)
				if x > 1 and y > 1:
					__snake_case      :		Tuple         =							y
					__snake_case      :		int         =							n // y
					break  # find the correct factors
			else:
				break  # t is not divisible by 2, break and choose another g
	return sorted([p, q]	)


if __name__ == "__main__":
			import doctest

			doctest.testmod()





