'''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  _lowerCamelCase   (				lowerCamelCase_ :							Optional[Any]       ):



					"""simple docstring"""





					return EnvironmentCommand()


def  _lowerCamelCase   (				lowerCamelCase_ :							Tuple       ):



					"""simple docstring"""





					return EnvironmentCommand(args.accelerate_config_file       )






class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_	):







		'''simple docstring'''






		@staticmethod
		def _UpperCamelCase					(			snake_case_						):




							'''simple docstring'''

							UpperCAmelCase_							:       Any       =				parser.add_parser('env'						)
							download_parser.set_defaults(func=snake_case_						)
							download_parser.add_argument(
							    '--accelerate-config_file'				,		default=snake_case_				,		help='The accelerate config file to use for the default values in the launching script.'				,		)
							download_parser.set_defaults(func=snake_case_						)


		def __init__(			self				,		snake_case_				,		*snake_case_						):




							'''simple docstring'''

							UpperCAmelCase_							:       str       =				accelerate_config_file


		def _UpperCamelCase					(			self						):




							'''simple docstring'''

							UpperCAmelCase_							:       Optional[Any]       =				'not installed'
							if is_safetensors_available():
												import safetensors

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

												UpperCAmelCase_							:       Optional[Any]       =				F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

							UpperCAmelCase_							:       Any       =				'not installed'
							UpperCAmelCase_							:       int       =				'not found'
							if is_accelerate_available():
												import accelerate
												from accelerate.commands.config import default_config_file, load_config_from_file

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

												UpperCAmelCase_							:       Union[str, Any]       =				(
												    '\n'.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]						)
												    if isinstance(snake_case_				,		snake_case_						)
												    else F'''\t{accelerate_config}'''
												)

							UpperCAmelCase_							:       List[Any]       =				'not installed'
							UpperCAmelCase_							:       Optional[Any]       =				'NA'
							if is_torch_available():
												import torch

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

							UpperCAmelCase_							:       Union[str, Any]       =				'not installed'
							UpperCAmelCase_							:       List[Any]       =				'NA'
							if is_tf_available():
												import tensorflow as tf

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

							UpperCAmelCase_							:       str       =				'not installed'
							UpperCAmelCase_							:       int       =				'not installed'
							UpperCAmelCase_							:       Optional[Any]       =				'not installed'
							UpperCAmelCase_							:       int       =				'NA'
							if is_flax_available():
												import flax
												import jax
												import jaxlib

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

							UpperCAmelCase_							:       Union[str, 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(snake_case_						)						)

							return info






		@staticmethod
		def _UpperCamelCase					(			snake_case_						):




							'''simple docstring'''

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







'''simple docstring'''


def  _lowerCamelCase   (				lowerCamelCase_ :							str     ,					lowerCamelCase_ :							str = " "       ):



     """simple docstring"""





     UpperCAmelCase_							:       str       =				[]

     UpperCAmelCase_							:       List[Any]       =				0
     for index, char in enumerate(lowerCamelCase_       ):
          if char == separator:
               split_words.append(string[last_index:index]       )
               UpperCAmelCase_							:       Optional[Any]       =				index + 1
          elif index + 1 == len(lowerCamelCase_       ):
               split_words.append(string[last_index : index + 1]       )
     return split_words


if __name__ == "__main__":
 from doctest import testmod

 testmod()






