

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       a__					(		UpperCAmelCase							:      Optional[int]      )  ->						List[str]:
  return EnvironmentCommand()

def       a__					(		UpperCAmelCase							:      List[str]      )  ->						Tuple:
  return EnvironmentCommand(args.accelerate_config_file      )






class  __UpperCAmelCase					(	lowerCamelCase__						):



   @staticmethod
   def 	__magic_name__   (							__A							:					ArgumentParser						):
     UpperCAmelCase	:							List[Any]						=			parser.add_parser('''env'''						)
     download_parser.set_defaults(func=__A						)
     download_parser.add_argument(
         '''--accelerate-config_file''',		default=__A,		help='''The accelerate config file to use for the default values in the launching script.''',		)
     download_parser.set_defaults(func=__A						)



   def __init__(							self							:					Optional[Any],		__A							:					List[str],		*__A							:					int						):
     UpperCAmelCase	:							Optional[Any]						=			accelerate_config_file



   def 	__magic_name__   (							self							:					List[Any]						):
     UpperCAmelCase	:							Optional[Any]						=			'''not installed'''
     if is_safetensors_available():
       import safetensors

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

       UpperCAmelCase	:							str						=			F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

     UpperCAmelCase	:							Any						=			'''not installed'''
     UpperCAmelCase	:							Union[str, Any]						=			'''not found'''
     if is_accelerate_available():
       import accelerate
       from accelerate.commands.config import default_config_file, load_config_from_file

       UpperCAmelCase	:							Optional[Any]						=			accelerate.__version__
       # Get the default from the config file.
       if self._accelerate_config_file is not None or os.path.isfile(__A						):
         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(__A,		__A						)
           else F'''\t{accelerate_config}'''
       )

     UpperCAmelCase	:							Any						=			'''not installed'''
     UpperCAmelCase	:							str						=			'''NA'''
     if is_torch_available():
       import torch

       UpperCAmelCase	:							int						=			torch.__version__
       UpperCAmelCase	:							Optional[int]						=			torch.cuda.is_available()

     UpperCAmelCase	:							Any						=			'''not installed'''
     UpperCAmelCase	:							Optional[int]						=			'''NA'''
     if is_tf_available():
       import tensorflow as tf

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

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

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

     UpperCAmelCase	:							Tuple						=			{
         '''`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(__A						)						)

     return info





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








from ..utils import DummyObject, requires_backends





class  __UpperCAmelCase					(	metaclass=lowerCamelCase__						):
   UpperCamelCase       					=					["""onnx"""]



   def __init__(							self							:					int,		*__A							:					Optional[Any],		**__A							:					Dict						):
     requires_backends(self,		['''onnx''']						)



   @classmethod
   def 	__magic_name__   (							cls							:					Any,		*__A							:					Any,		**__A							:					Dict						):
     requires_backends(cls,		['''onnx''']						)





   @classmethod
   def 	__magic_name__   (							cls							:					Tuple,		*__A							:					List[str],		**__A							:					List[str]						):
     requires_backends(cls,		['''onnx''']						)





