



'''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__:   List[Any]								=			pytest.mark.integration


@pytest.mark.parametrize('''path'''   ,      ['''paws''', '''csv''']  )
def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int  )      ->   str:
							inspect_dataset(_lowerCAmelCase   ,      _lowerCAmelCase  )
							UpperCAmelCase :       Optional[Any] 							=		path + '''.py'''
							assert script_name in os.listdir(_lowerCAmelCase  )
							assert "__pycache__" not in os.listdir(_lowerCAmelCase  )


@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_     (					_lowerCAmelCase  :						List[str]   ,      _lowerCAmelCase  :						List[str]  )      ->   List[str]:
							inspect_metric(_lowerCAmelCase   ,      _lowerCAmelCase  )
							UpperCAmelCase :       Dict 							=		path + '''.py'''
							assert script_name in os.listdir(_lowerCAmelCase  )
							assert "__pycache__" not in os.listdir(_lowerCAmelCase  )


@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_     (					_lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Optional[Any]   ,      _lowerCAmelCase  :						Optional[Any]  )      ->   Any:
							UpperCAmelCase :       Tuple 							=		get_dataset_config_info(_lowerCAmelCase   ,      config_name=_lowerCAmelCase  )
							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_     (					_lowerCAmelCase  :						Union[str, Any]   ,      _lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Optional[Any]  )      ->   Dict:
							with pytest.raises(_lowerCAmelCase  ):
														get_dataset_config_info(_lowerCAmelCase   ,      config_name=_lowerCAmelCase  )


@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_     (					_lowerCAmelCase  :						Optional[int]   ,      _lowerCAmelCase  :						Tuple  )      ->   Tuple:
							UpperCAmelCase :       List[str] 							=		get_dataset_config_names(_lowerCAmelCase  )
							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_     (					_lowerCAmelCase  :						Optional[int]   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						Optional[int]  )      ->   Dict:
							UpperCAmelCase :       str 							=		get_dataset_infos(_lowerCAmelCase  )
							assert list(infos.keys()  ) == expected_configs
							UpperCAmelCase :       int 							=		expected_configs[0]
							assert expected_config in infos
							UpperCAmelCase :       str 							=		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_     (					_lowerCAmelCase  :						str   ,      _lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Tuple  )      ->   Tuple:
							UpperCAmelCase :       int 							=		get_dataset_infos(_lowerCAmelCase  )
							assert expected_config in infos
							UpperCAmelCase :       Dict 							=		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_     (					_lowerCAmelCase  :						Dict   ,      _lowerCAmelCase  :						List[Any]   ,      _lowerCAmelCase  :						int  )      ->   int:
							with pytest.raises(_lowerCAmelCase  ):
														get_dataset_split_names(_lowerCAmelCase   ,      config_name=_lowerCAmelCase  )










'''simple docstring'''






# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


UpperCamelCase__:   Optional[int]								=			"3"

print("Python version:", sys.version)
print("transformers version:", transformers.__version__)

try:
						import torch

						print("Torch version:", torch.__version__)
						print("Cuda available:", torch.cuda.is_available())
						print("Cuda version:", torch.version.cuda)
						print("CuDNN version:", torch.backends.cudnn.version())
						print("Number of GPUs available:", torch.cuda.device_count())
						print("NCCL version:", torch.cuda.nccl.version())
except ImportError:
						print("Torch version:", None)

try:
						import deepspeed

						print("DeepSpeed version:", deepspeed.__version__)
except ImportError:
						print("DeepSpeed version:", None)

try:
						import tensorflow as tf

						print("TensorFlow version:", tf.__version__)
						print("TF GPUs available:", bool(tf.config.list_physical_devices("GPU")))
						print("Number of TF GPUs available:", len(tf.config.list_physical_devices("GPU")))
except ImportError:
						print("TensorFlow version:", None)





