



# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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     UpperCAmelCase__ (							__snake_case							)   -> 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 		_snake_case      :





 """simple docstring"""



 lowerCamelCase_          =			42
 lowerCamelCase_          =			42
 lowerCamelCase_          =			42
 lowerCamelCase_          =			42
 def lowercase_		(						self					)	->							Optional[int]:




   """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 lowercase_		(						cls	,    a=None					)	->							Union[str, Any]:




   """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 lowercase_		(						self	,    a					)	->							int:




   """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 lowercase_		(						cls	,    a=None					)	->							List[Any]:




   """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 lowercase_		(						self	,    a					)	->							List[str]:




   """simple docstring"""







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



 def lowercase_		(						self					)	->							Union[str, 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 		_snake_case      (			lowerCamelCase				):





 """simple docstring"""



 lowerCamelCase_          =			42
 lowerCamelCase_          =			0
 lowerCamelCase_          =			1
 lowerCamelCase_          =			None
 lowerCamelCase_          =			None
 lowerCamelCase_          =			None
 lowerCamelCase_          =			"static"
 lowerCamelCase_          =			False
 lowerCamelCase_          =			"main"

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

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

 # args for dynamo
 lowerCamelCase_          =			None
 def lowercase_		(						self					)	->							Tuple:




   """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 		_snake_case      (			lowerCamelCase				):





 """simple docstring"""



 lowerCamelCase_          =			42
 lowerCamelCase_          =			42
 lowerCamelCase_          =			None
 lowerCamelCase_          =			None
 lowerCamelCase_          =			"us-east-1"
 lowerCamelCase_          =			1
 lowerCamelCase_          =			"all"
 lowerCamelCase_          =			f"accelerate-sagemaker-{num_machines}"
 lowerCamelCase_          =			SAGEMAKER_PYTORCH_VERSION
 lowerCamelCase_          =			SAGEMAKER_TRANSFORMERS_VERSION
 lowerCamelCase_          =			SAGEMAKER_PYTHON_VERSION
 lowerCamelCase_          =			None
 lowerCamelCase_          =			None
 lowerCamelCase_          =			None
 lowerCamelCase_          =			None




import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand




def     UpperCAmelCase__ (							__snake_case							)   -> Optional[Any]:
  return EnvironmentCommand()



class 		_snake_case      (			lowerCamelCase				):





 """simple docstring"""



 @staticmethod
 def lowercase_		(						a					)	->							Dict:




   """simple docstring"""







   _A           =    parser.add_parser('''env'''	,    help='''Print relevant system environment info.'''					)
   download_parser.set_defaults(func=a					)
 def lowercase_		(						self					)	->							Optional[int]:




   """simple docstring"""







   _A           =    {
       '''`datasets` version''': version,
       '''Platform''': platform.platform(),
       '''Python version''': platform.python_version(),
       '''Huggingface_hub version''': huggingface_hub.__version__,
       '''PyArrow version''': pyarrow.__version__,
       '''Pandas version''': pandas.__version__,
   }

   print('''\nCopy-and-paste the text below in your GitHub issue.\n'''					)
   print(self.format_dict(a					)					)

   return info



 @staticmethod
 def lowercase_		(						a					)	->							Optional[int]:




   """simple docstring"""







   return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]					) + "\n"