
'''simple docstring'''

import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand


def 						_UpperCAmelCase					(	_lowerCamelCase    :							Union[str, Any]		)     ->    List[Any]:
  return EnvironmentCommand()


def 						_UpperCAmelCase					(	_lowerCamelCase    :							Any		)     ->    Optional[Any]:
  return EnvironmentCommand(args.accelerate_config_file		)



class 	a_	(_a     ):




       @staticmethod
       def 				__UpperCamelCase							(  snake_case_	):
         _lowerCAmelCase							:	Union[str, Any] 					=       parser.add_parser("""env"""	)
         download_parser.set_defaults(func=__lowercase	)
         download_parser.add_argument(
             """--accelerate-config_file""" , default=__lowercase , help="""The accelerate config file to use for the default values in the launching script.""" , )
         download_parser.set_defaults(func=__lowercase	)




       def __init__(  self , snake_case_ , *snake_case_	):
         _lowerCAmelCase							:	Any 					=       accelerate_config_file




       def 				__UpperCamelCase							(  self	):
         _lowerCAmelCase							:	Optional[int] 					=       """not installed"""
         if is_safetensors_available():
           import safetensors

           _lowerCAmelCase							:	int 					=       safetensors.__version__
         elif importlib.util.find_spec("""safetensors"""	) is not None:
           import safetensors

           _lowerCAmelCase							:	int 					=       f'{safetensors.__version__} but is ignored because of PyTorch version too old.'

         _lowerCAmelCase							:	List[str] 					=       """not installed"""
         _lowerCAmelCase							:	Dict 					=       """not found"""
         if is_accelerate_available():
           import accelerate
           from accelerate.commands.config import default_config_file, load_config_from_file

           _lowerCAmelCase							:	List[Any] 					=       accelerate.__version__
           # Get the default from the config file.
           if self._accelerate_config_file is not None or os.path.isfile(__lowercase	):
             _lowerCAmelCase							:	int 					=       load_config_from_file(self._accelerate_config_file	).to_dict()

           _lowerCAmelCase							:	Optional[Any] 					=       (
               """\n""".join([f'\t- {prop}: {val}' for prop, val in accelerate_config.items()]	)
               if isinstance(__lowercase , __lowercase	)
               else f'\t{accelerate_config}'
           )

         _lowerCAmelCase							:	Union[str, Any] 					=       """not installed"""
         _lowerCAmelCase							:	str 					=       """NA"""
         if is_torch_available():
           import torch

           _lowerCAmelCase							:	Optional[Any] 					=       torch.__version__
           _lowerCAmelCase							:	List[Any] 					=       torch.cuda.is_available()

         _lowerCAmelCase							:	Union[str, Any] 					=       """not installed"""
         _lowerCAmelCase							:	Optional[int] 					=       """NA"""
         if is_tf_available():
           import tensorflow as tf

           _lowerCAmelCase							:	List[str] 					=       tf.__version__
           try:
             # deprecated in v2.1
             _lowerCAmelCase							:	Any 					=       tf.test.is_gpu_available()
           except AttributeError:
             # returns list of devices, convert to bool
             _lowerCAmelCase							:	List[str] 					=       bool(tf.config.list_physical_devices("""GPU"""	)	)

         _lowerCAmelCase							:	int 					=       """not installed"""
         _lowerCAmelCase							:	Optional[Any] 					=       """not installed"""
         _lowerCAmelCase							:	List[str] 					=       """not installed"""
         _lowerCAmelCase							:	Dict 					=       """NA"""
         if is_flax_available():
           import flax
           import jax
           import jaxlib

           _lowerCAmelCase							:	str 					=       flax.__version__
           _lowerCAmelCase							:	Optional[int] 					=       jax.__version__
           _lowerCAmelCase							:	Optional[Any] 					=       jaxlib.__version__
           _lowerCAmelCase							:	Tuple 					=       jax.lib.xla_bridge.get_backend().platform

         _lowerCAmelCase							:	List[Any] 					=       {
             """`transformers` version""": version,
             """Platform""": platform.platform(),
             """Python version""": platform.python_version(),
             """Huggingface_hub version""": huggingface_hub.__version__,
             """Safetensors version""": f'{safetensors_version}',
             """Accelerate version""": f'{accelerate_version}',
             """Accelerate config""": f'{accelerate_config_str}',
             """PyTorch version (GPU?)""": f'{pt_version} ({pt_cuda_available})',
             """Tensorflow version (GPU?)""": f'{tf_version} ({tf_cuda_available})',
             """Flax version (CPU?/GPU?/TPU?)""": f'{flax_version} ({jax_backend})',
             """Jax version""": f'{jax_version}',
             """JaxLib version""": f'{jaxlib_version}',
             """Using GPU in script?""": """<fill in>""",
             """Using distributed or parallel set-up in script?""": """<fill in>""",
         }

         print("""\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n"""	)
         print(self.format_dict(__lowercase	)	)

         return info







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





'''simple docstring'''

def 					__UpperCamelCase				(						lowercase__    :	list[int]			):






     '''simple docstring'''





     if not nums:  # Makes sure that the list is not empty
          raise ValueError('List is empty'			)

     __lowercase      		=sum(lowercase__			) / len(lowercase__			)  # Calculate the average
     return sum(abs(x - average			) for x in nums			) / len(lowercase__			)


if __name__ == "__main__":
       import doctest

       doctest.testmod()


