



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase_          =				{
    "configuration_dpr": ["DPR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPRConfig"],
    "tokenization_dpr": [
        "DPRContextEncoderTokenizer",
        "DPRQuestionEncoderTokenizer",
        "DPRReaderOutput",
        "DPRReaderTokenizer",
    ],
}


try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_          =				[
        "DPRContextEncoderTokenizerFast",
        "DPRQuestionEncoderTokenizerFast",
        "DPRReaderTokenizerFast",
    ]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_          =				[
        "DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "DPRContextEncoder",
        "DPRPretrainedContextEncoder",
        "DPRPreTrainedModel",
        "DPRPretrainedQuestionEncoder",
        "DPRPretrainedReader",
        "DPRQuestionEncoder",
        "DPRReader",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_          =				[
        "TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFDPRContextEncoder",
        "TFDPRPretrainedContextEncoder",
        "TFDPRPretrainedQuestionEncoder",
        "TFDPRPretrainedReader",
        "TFDPRQuestionEncoder",
        "TFDPRReader",
    ]


if TYPE_CHECKING:
    from .configuration_dpr import DPR_PRETRAINED_CONFIG_ARCHIVE_MAP, DPRConfig
    from .tokenization_dpr import (
        DPRContextEncoderTokenizer,
        DPRQuestionEncoderTokenizer,
        DPRReaderOutput,
        DPRReaderTokenizer,
    )

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_dpr_fast import (
            DPRContextEncoderTokenizerFast,
            DPRQuestionEncoderTokenizerFast,
            DPRReaderTokenizerFast,
        )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_dpr import (
            DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPRContextEncoder,
            DPRPretrainedContextEncoder,
            DPRPreTrainedModel,
            DPRPretrainedQuestionEncoder,
            DPRPretrainedReader,
            DPRQuestionEncoder,
            DPRReader,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_dpr import (
            TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDPRContextEncoder,
            TFDPRPretrainedContextEncoder,
            TFDPRPretrainedQuestionEncoder,
            TFDPRPretrainedReader,
            TFDPRQuestionEncoder,
            TFDPRReader,
        )

else:
    import sys

    UpperCAmelCase_          =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						str					)->str:
      return " ".join(sorted(set(sentence.split()					)					)					)


if __name__ == "__main__":
    import doctest

    doctest.testmod()