





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


lowerCAmelCase_        =			os.path.expanduser(
    os.getenv("""HF_HOME""", os.path.join(os.getenv("""XDG_CACHE_HOME""", """~/.cache"""), """huggingface"""))
)
lowerCAmelCase_        =			os.path.join(hf_cache_home, """accelerate""")
lowerCAmelCase_        =			os.path.join(cache_dir, """default_config.yaml""")
lowerCAmelCase_        =			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):
      lowerCAmelCase_        =			default_yaml_config_file
else:
      lowerCAmelCase_        =			default_json_config_file


def 			lowerCamelCase_		(					lowerCAmelCase:		Any )->						Dict:
  if config_file is not None:
    if not os.path.isfile(__UpperCamelCase ):
      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:
    _snake_case      : Optional[Any]														=		default_config_file
  with open(__UpperCamelCase			,							'r'			,							encoding='utf-8' ) as f:
    if config_file.endswith('.json' ):
      if (
          json.load(__UpperCamelCase ).get('compute_environment'			,							ComputeEnvironment.LOCAL_MACHINE )
          == ComputeEnvironment.LOCAL_MACHINE
      ):
        _snake_case      : str														=		ClusterConfig
      else:
        _snake_case      : int														=		SageMakerConfig
      return config_class.from_json_file(json_file=__UpperCamelCase )
    else:
      if (
          yaml.safe_load(__UpperCamelCase ).get('compute_environment'			,							ComputeEnvironment.LOCAL_MACHINE )
          == ComputeEnvironment.LOCAL_MACHINE
      ):
        _snake_case      : List[str]														=		ClusterConfig
      else:
        _snake_case      : Optional[Any]														=		SageMakerConfig
      return config_class.from_yaml_file(yaml_file=__UpperCamelCase )



@dataclass
class 				_lowerCAmelCase			:


  '''simple docstring'''
  a_							:				List[str]					    =42
  a_							:				str					    =42
  a_							:				Union[str, Any]					    =42
  a_							:				str					    =42







  def UpperCamelCase_       (					self					:    Union[str, Any]							):


    '''simple docstring'''





    _snake_case      : Optional[int]														=		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(__UpperCAmelCase					, __UpperCAmelCase							):
        _snake_case      : Dict														=		value.value
      if isinstance(__UpperCAmelCase					, __UpperCAmelCase							) and not bool(__UpperCAmelCase							):
        _snake_case      : str														=		None
    _snake_case      : Any														=		{k: v for k, v in result.items() if v is not None}
    return result







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


    '''simple docstring'''





    _snake_case      : List[Any]														=		default_json_config_file if json_file is None else json_file
    with open(__UpperCAmelCase					, 'r'					, encoding='utf-8'							) as f:
      _snake_case      : Optional[int]														=		json.load(__UpperCAmelCase							)
    if "compute_environment" not in config_dict:
      _snake_case      : int														=		ComputeEnvironment.LOCAL_MACHINE
    if "mixed_precision" not in config_dict:
      _snake_case      : Dict														=		'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.
      _snake_case      : Union[str, Any]														=		config_dict.pop('dynamo_backend'							)
      _snake_case      : int														=		{} if dynamo_backend == 'NO' else {'dynamo_backend': dynamo_backend}
    if "use_cpu" not in config_dict:
      _snake_case      : Dict														=		False
    return cls(**__UpperCAmelCase							)







  def UpperCamelCase_       (					self					:    int					, UpperCamelCase					:    Optional[int]							):


    '''simple docstring'''





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







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


    '''simple docstring'''





    _snake_case      : Tuple														=		default_yaml_config_file if yaml_file is None else yaml_file
    with open(__UpperCAmelCase					, 'r'					, encoding='utf-8'							) as f:
      _snake_case      : List[str]														=		yaml.safe_load(__UpperCAmelCase							)
    if "compute_environment" not in config_dict:
      _snake_case      : str														=		ComputeEnvironment.LOCAL_MACHINE

    if "mixed_precision" not in config_dict:
      _snake_case      : int														=		'fp16' if ('fp16' in config_dict and config_dict['fp16']) else None
    if isinstance(config_dict['mixed_precision']					, __UpperCAmelCase							) and not config_dict["mixed_precision"]:
      _snake_case      : List[Any]														=		'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.
      _snake_case      : Optional[Any]														=		config_dict.pop('dynamo_backend'							)
      _snake_case      : Dict														=		{} if dynamo_backend == 'NO' else {'dynamo_backend': dynamo_backend}
    if "use_cpu" not in config_dict:
      _snake_case      : Optional[Any]														=		False
    return cls(**__UpperCAmelCase							)







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


    '''simple docstring'''





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







  def UpperCamelCase_       (					self					:    Any							):


    '''simple docstring'''





    if isinstance(self.compute_environment					, __UpperCAmelCase							):
      _snake_case      : Any														=		ComputeEnvironment(self.compute_environment							)
    if isinstance(self.distributed_type					, __UpperCAmelCase							):
      if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
        _snake_case      : Optional[int]														=		SageMakerDistributedType(self.distributed_type							)
      else:
        _snake_case      : Union[str, Any]														=		DistributedType(self.distributed_type							)
    if self.dynamo_config is None:
      _snake_case      : Any														=		{}




@dataclass
class 				_lowerCAmelCase			(	UpperCAmelCase_							):


  '''simple docstring'''
  a_							:				List[Any]					    =42
  a_							:				List[Any]					    =0
  a_							:				str					    =1
  a_							:				Optional[Any]					    =None
  a_							:				int					    =None
  a_							:				Tuple					    =None
  a_							:				int					    ="""static"""
  a_							:				Optional[int]					    =False
  a_							:				List[Any]					    ="""main"""

  # args for deepspeed_plugin
  a_							:				List[str]					    =None
  # args for fsdp
  a_							:				str					    =None
  # args for megatron_lm
  a_							:				Any					    =None
  # args for ipex
  a_							:				Union[str, Any]					    =None
  # args for TPU
  a_							:				Optional[int]					    =False

  # args for TPU pods
  a_							:				Any					    =None
  a_							:				Dict					    =None
  a_							:				Dict					    =False
  a_							:				int					    =False
  a_							:				List[str]					    =None
  a_							:				str					    =None
  a_							:				Tuple					    =None
  a_							:				List[Any]					    =None

  # args for dynamo
  a_							:				Any					    =None







  def UpperCamelCase_       (					self					:    Optional[int]							):


    '''simple docstring'''





    if self.deepspeed_config is None:
      _snake_case      : Dict														=		{}
    if self.fsdp_config is None:
      _snake_case      : Optional[Any]														=		{}
    if self.megatron_lm_config is None:
      _snake_case      : Optional[int]														=		{}
    if self.ipex_config is None:
      _snake_case      : Any														=		{}
    return super().__post_init__()




@dataclass
class 				_lowerCAmelCase			(	UpperCAmelCase_							):


  '''simple docstring'''
  a_							:				int					    =42
  a_							:				Optional[Any]					    =42
  a_							:				List[str]					    =None
  a_							:				Optional[Any]					    =None
  a_							:				Optional[Any]					    ="""us-east-1"""
  a_							:				str					    =1
  a_							:				Tuple					    ="""all"""
  a_							:				Optional[Any]					    =f"""accelerate-sagemaker-{num_machines}"""
  a_							:				str					    =SAGEMAKER_PYTORCH_VERSION
  a_							:				Optional[Any]					    =SAGEMAKER_TRANSFORMERS_VERSION
  a_							:				int					    =SAGEMAKER_PYTHON_VERSION
  a_							:				Dict					    =None
  a_							:				Dict					    =None
  a_							:				Dict					    =None
  a_							:				Union[str, Any]					    =None






"""simple docstring"""


def     _lowerCamelCase(__UpperCamelCase       )				-> list:
	_lowerCAmelCase								=[True for i in range(n + 1       )]
	_lowerCAmelCase								=[i - 1 for i in range(n + 1       )]
	_lowerCAmelCase								=[]
	for i in range(2    , n + 1       ):
		if is_prime[i]:
			primes.append(__UpperCamelCase       )
		for j in range(0    , len(__UpperCamelCase       )       ):
			if i * primes[j] >= n:
				break
			_lowerCAmelCase								=False

			if i % primes[j] == 0:
				_lowerCAmelCase								=totients[i] * primes[j]
				break

			_lowerCAmelCase								=totients[i] * (primes[j] - 1)

	return totients


if __name__ == "__main__":
			import doctest

			doctest.testmod()



