

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_		(       UpperCamelCase_   :							List[Any]  )							->   List[Any]:







 """simple docstring"""

 return EnvironmentCommand()







class     lowerCAmelCase				(    __UpperCamelCase				):


       '''simple docstring'''







       @staticmethod
       def   lowerCamelCase__						(	__snake_case					:  ArgumentParser     )   -> Union[str, Any]:







        '''simple docstring'''

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

       def   lowerCamelCase__						(	self					:  str     )   -> List[Any]:







        '''simple docstring'''

        lowerCamelCase      						=    {
            '`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(__snake_case     )     )

        return info





       @staticmethod
       def   lowerCamelCase__						(	__snake_case					:  Optional[Any]     )   -> List[str]:







        '''simple docstring'''

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







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


_lowerCAmelCase :	Optional[Any]     				=    {
    'configuration_xlm_prophetnet': ['XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XLMProphetNetConfig'],
}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCAmelCase :	Optional[Any]     				=    ['XLMProphetNetTokenizer']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCAmelCase :	List[str]     				=    [
         'XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST',
         'XLMProphetNetDecoder',
         'XLMProphetNetEncoder',
         'XLMProphetNetForCausalLM',
         'XLMProphetNetForConditionalGeneration',
         'XLMProphetNetModel',
         'XLMProphetNetPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_xlm_prophetnet import (
              XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
              XLMProphetNetDecoder,
              XLMProphetNetEncoder,
              XLMProphetNetForCausalLM,
              XLMProphetNetForConditionalGeneration,
              XLMProphetNetModel,
              XLMProphetNetPreTrainedModel,
          )

else:
     import sys

     _lowerCAmelCase :	List[Any]     				=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




