






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     _snake_case    (__lowercase):
   return EnvironmentCommand()
def     _snake_case    (__lowercase):
   return EnvironmentCommand(args.accelerate_config_file)


class 						_a       (  UpperCAmelCase_    ):






  """simple docstring"""





  @staticmethod
  def    _UpperCAmelCase     (     _UpperCAmelCase )			-> str:
     UpperCamelCase_									=     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		,		_UpperCAmelCase		,		*_UpperCAmelCase )			-> Optional[int]:
     UpperCamelCase_									=     accelerate_config_file




  def    _UpperCAmelCase     (     self )			-> List[Any]:
     UpperCamelCase_									=     'not installed'
     if is_safetensors_available():
        import safetensors

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

        UpperCamelCase_									=     f"""{safetensors.__version__} but is ignored because of PyTorch version too old."""

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

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

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

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

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

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

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

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

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

     UpperCamelCase_									=     {
         '`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     (     _UpperCAmelCase )			-> Dict:
     return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()] ) + "\n"













import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case__      :	Optional[int]       	=      pytest.mark.integration






@pytest.mark.parametrize('path'    ,      ['paws', 'csv'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_dataset(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning')
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning')
@pytest.mark.parametrize('path'    ,      ['accuracy'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_metric(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.parametrize(
    'path, config_name, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_info(__lowercase    ,      config_name=__lowercase)
   assert info.config_name == config_name
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_config_info(__lowercase    ,      config_name=__lowercase)






@pytest.mark.parametrize(
    'path, expected'    ,      [
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_names(__lowercase)
   assert expected in config_names






@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'    ,      [
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert list(infos.keys()) == expected_configs
   UpperCamelCase_									=     expected_configs[0]
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits_in_first_config






@pytest.mark.parametrize(
    'path, expected_config, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_split_names(__lowercase    ,      config_name=__lowercase)





