


import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand






def 						_A						(						_lowercase				)			->				Dict:


     """simple docstring"""


     return EnvironmentCommand()



class 					__lowerCamelCase	(SCREAMING_SNAKE_CASE_		):






       """simple docstring"""




       @staticmethod
       def 						snake_case_					(	A_:				Any			):






            '''simple docstring'''




            __UpperCamelCase				=	parser.add_parser('env',help='Print relevant system environment info.'			)
            download_parser.set_defaults(func=SCREAMING_SNAKE_CASE_			)







       def 						snake_case_					(	self:				int			):






            '''simple docstring'''




            __UpperCamelCase				=	{
                '`datasets` version': version,
                'Platform': platform.platform(),
                'Python version': platform.python_version(),
                'Huggingface_hub version': huggingface_hub.__version__,
                'PyArrow version': pyarrow.__version__,
                'Pandas version': pandas.__version__,
            }

            print('\nCopy-and-paste the text below in your GitHub issue.\n'			)
            print(self.format_dict(SCREAMING_SNAKE_CASE_			)			)

            return info







       @staticmethod
       def 						snake_case_					(	A_:				Dict			):






            '''simple docstring'''




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






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# 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.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__snake_case     =		{
    '''configuration_convnextv2''': [
        '''CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ConvNextV2Config''',
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __snake_case     =		[
        '''CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''ConvNextV2ForImageClassification''',
        '''ConvNextV2Model''',
        '''ConvNextV2PreTrainedModel''',
        '''ConvNextV2Backbone''',
    ]


if TYPE_CHECKING:
    from .configuration_convnextva import (
        CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ConvNextVaConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_convnextva import (
            CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextVaBackbone,
            ConvNextVaForImageClassification,
            ConvNextVaModel,
            ConvNextVaPreTrainedModel,
        )

else:
    import sys

    __snake_case     =		_LazyModule(__name__, globals()['''__file__'''], _import_structure)


