


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   (SCREAMING_SNAKE_CASE )->  Optional[Any]:




      """simple docstring"""

      return EnvironmentCommand()






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  str:




      """simple docstring"""

      return EnvironmentCommand(args.accelerate_config_file )







class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

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



 def __init__(     self		,				_UpperCAmelCase		,				*_UpperCAmelCase ):
       snake_case_	=				accelerate_config_file



 def 						UpperCamelCase__					(     self ):
       snake_case_	=				'''not installed'''
       if is_safetensors_available():
             import safetensors

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

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

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

             snake_case_	=				accelerate.__version__
             # Get the default from the config file.
             if self._accelerate_config_file is not None or os.path.isfile(_UpperCAmelCase ):
                   snake_case_	=				load_config_from_file(self._accelerate_config_file ).to_dict()

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

       snake_case_	=				'''not installed'''
       snake_case_	=				'''NA'''
       if is_torch_available():
             import torch

             snake_case_	=				torch.__version__
             snake_case_	=				torch.cuda.is_available()

       snake_case_	=				'''not installed'''
       snake_case_	=				'''NA'''
       if is_tf_available():
             import tensorflow as tf

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

       snake_case_	=				'''not installed'''
       snake_case_	=				'''not installed'''
       snake_case_	=				'''not installed'''
       snake_case_	=				'''NA'''
       if is_flax_available():
             import flax
             import jax
             import jaxlib

             snake_case_	=				flax.__version__
             snake_case_	=				jax.__version__
             snake_case_	=				jaxlib.__version__
             snake_case_	=				jax.lib.xla_bridge.get_backend().platform

       snake_case_	=				{
           '''`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(_UpperCAmelCase ) )

       return info





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



# Function to print upper half of diamond (pyramid)






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      for i in range(0 , SCREAMING_SNAKE_CASE ):
            for _ in range(0 , n - i - 1 ):  # printing spaces
                  print(''' ''' , end='''''' )
            for _ in range(0 , i + 1 ):  # printing stars
                  print('''* ''' , end='''''' )
            print()






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      for i in range(SCREAMING_SNAKE_CASE , 0 , -1 ):
            for _ in range(SCREAMING_SNAKE_CASE , 0 , -1 ):  # printing stars
                  print('''* ''' , end='''''' )
            print()
            for _ in range(n - i + 1 , 0 , -1 ):  # printing spaces
                  print(''' ''' , end='''''' )






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Any:




      """simple docstring"""

      if n <= 0:
            print('''       ...       ....        nothing printing :(''' )
            return
      floyd(SCREAMING_SNAKE_CASE )  # upper half
      reverse_floyd(SCREAMING_SNAKE_CASE )  # lower half


if __name__ == "__main__":
   print(r"""| /\ | |- |  |-  |--| |\  /| |-""")
   print(r"""|/  \| |- |_ |_  |__| | \/ | |_""")
   UpperCAmelCase      =   1
   while K:
      UpperCAmelCase      =   int(input("""enter the number and , and see the magic : """))
      print()
      pretty_print(user_number)
      UpperCAmelCase      =   int(input("""press 0 to exit... and 1 to continue..."""))

   print("""Good Bye...""")