



'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A__    :   str           =					{
    '''configuration_xlm_roberta_xl''': [
        '''XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XLMRobertaXLConfig''',
        '''XLMRobertaXLOnnxConfig''',
    ],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A__    :   Optional[Any]           =					[
        '''XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''XLMRobertaXLForCausalLM''',
        '''XLMRobertaXLForMaskedLM''',
        '''XLMRobertaXLForMultipleChoice''',
        '''XLMRobertaXLForQuestionAnswering''',
        '''XLMRobertaXLForSequenceClassification''',
        '''XLMRobertaXLForTokenClassification''',
        '''XLMRobertaXLModel''',
        '''XLMRobertaXLPreTrainedModel''',
    ]

if TYPE_CHECKING:
    from .configuration_xlm_roberta_xl import (
        XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XLMRobertaXLConfig,
        XLMRobertaXLOnnxConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_xlm_roberta_xl import (
            XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaXLForCausalLM,
            XLMRobertaXLForMaskedLM,
            XLMRobertaXLForMultipleChoice,
            XLMRobertaXLForQuestionAnswering,
            XLMRobertaXLForSequenceClassification,
            XLMRobertaXLForTokenClassification,
            XLMRobertaXLModel,
            XLMRobertaXLPreTrainedModel,
        )

else:
    import sys

    A__    :   Tuple           =					_LazyModule(__name__, globals()['''__file__'''], _import_structure)








'''simple docstring'''





from __future__ import annotations





def   a_   (		_UpperCAmelCase    :      list[int]				)    ->  bool:
      return len(set(_UpperCAmelCase				)				) == len(_UpperCAmelCase				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()



