
'''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							(  UpperCAmelCase__							:							Any):
				return EnvironmentCommand()





def    UpperCAmelCase							(  UpperCAmelCase__							:							Optional[int]):
				return EnvironmentCommand(args.accelerate_config_file)




class     a_		(   _UpperCAmelCase):
					@staticmethod
					def     UpperCAmelCase_							(     A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= 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,    A,    *A      ):

									"""simple docstring"""


									lowerCamelCase					:			Any									= accelerate_config_file
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= """not installed"""
									if is_safetensors_available():
													import safetensors

													lowerCamelCase					:			str									= safetensors.__version__
									elif importlib.util.find_spec('safetensors'      ) is not None:
													import safetensors

													lowerCamelCase					:			Union[str, Any]									= F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

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

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

													lowerCamelCase					:			str									= (
													    """\n""".join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]      )
													    if isinstance(lowercase__,    lowercase__      )
													    else F'''\t{accelerate_config}'''
													)

									lowerCamelCase					:			List[str]									= """not installed"""
									lowerCamelCase					:			Dict									= """NA"""
									if is_torch_available():
													import torch

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

									lowerCamelCase					:			Dict									= """not installed"""
									lowerCamelCase					:			Any									= """NA"""
									if is_tf_available():
													import tensorflow as tf

													lowerCamelCase					:			Dict									= 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					:			Optional[Any]									= """not installed"""
									lowerCamelCase					:			Union[str, Any]									= """not installed"""
									lowerCamelCase					:			Dict									= """not installed"""
									lowerCamelCase					:			Tuple									= """NA"""
									if is_flax_available():
													import flax
													import jax
													import jaxlib

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

									lowerCamelCase					:			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_							(     A      ):

									"""simple docstring"""


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


'''simple docstring'''






def    UpperCAmelCase							(  UpperCAmelCase__							:							list[int]):
				if not nums:  # Makes sure that the list is not empty
								raise ValueError('List is empty')

				lowerCamelCase					:			int									= sum(UpperCAmelCase__) / len(UpperCAmelCase__)  # Calculate the average
				return sum(abs(x - average) for x in nums) / len(UpperCAmelCase__)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
