

'''simple docstring'''

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,
)


UpperCAmelCase					 =	pytest.mark.integration

@pytest.mark.parametrize('path',       ['paws', 'csv']			)
def 					__UpperCamelCase				(						lowercase__    :	str,       lowercase__    :	List[str]			):






     '''simple docstring'''





     inspect_dataset(lowercase__,       lowercase__			)
     __lowercase      		=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 					__UpperCamelCase				(						lowercase__    :	Dict,       lowercase__    :	Optional[int]			):






     '''simple docstring'''





     inspect_metric(lowercase__,       lowercase__			)
     __lowercase      		=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 					__UpperCamelCase				(						lowercase__    :	Any,       lowercase__    :	List[str],       lowercase__    :	str			):






     '''simple docstring'''





     __lowercase      		=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 					__UpperCamelCase				(						lowercase__    :	int,       lowercase__    :	List[Any],       lowercase__    :	Optional[int]			):






     '''simple docstring'''





     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 					__UpperCamelCase				(						lowercase__    :	int,       lowercase__    :	int			):






     '''simple docstring'''





     __lowercase      		=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 					__UpperCamelCase				(						lowercase__    :	int,       lowercase__    :	Any,       lowercase__    :	List[str]			):






     '''simple docstring'''





     __lowercase      		=get_dataset_infos(lowercase__			)
     assert list(infos.keys()			) == expected_configs
     __lowercase      		=expected_configs[0]
     assert expected_config in infos
     __lowercase      		=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 					__UpperCamelCase				(						lowercase__    :	Any,       lowercase__    :	Any,       lowercase__    :	int			):






     '''simple docstring'''





     __lowercase      		=get_dataset_infos(lowercase__			)
     assert expected_config in infos
     __lowercase      		=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 					__UpperCamelCase				(						lowercase__    :	Dict,       lowercase__    :	List[Any],       lowercase__    :	List[Any]			):






     '''simple docstring'''





     with pytest.raises(lowercase__			):
          get_dataset_split_names(lowercase__,       config_name=lowercase__			)





'''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				(						lowercase__    :	Union[str, Any]			):






     '''simple docstring'''





     return EnvironmentCommand()

def 					__UpperCamelCase				(						lowercase__    :	Any			):






     '''simple docstring'''





     return EnvironmentCommand(args.accelerate_config_file			)







class 	lowerCAmelCase  (   A ):







       @staticmethod
       def       snake_case (				__lowercase      :			ArgumentParser   ):







            """simple docstring"""







            __lowercase      		=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      :			int    ,   __lowercase      :			Any    ,   *__lowercase      :			str   ):







            """simple docstring"""







            __lowercase      		=accelerate_config_file







       def       snake_case (				self      :			Optional[int]   ):







            """simple docstring"""







            __lowercase      		='not installed'
            if is_safetensors_available():
                 import safetensors

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

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

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

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

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

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

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

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

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

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

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

            __lowercase      		={
                '`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       snake_case (				__lowercase      :			Optional[Any]   ):







            """simple docstring"""







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


