




from typing import TYPE_CHECKING

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


snake_case_					:					Tuple       						=			{
    "configuration_realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig"],
    "tokenization_realm": ["RealmTokenizer"],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_					:					List[Any]       						=			["RealmTokenizerFast"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_					:					Optional[int]       						=			[
        "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
        "RealmEmbedder",
        "RealmForOpenQA",
        "RealmKnowledgeAugEncoder",
        "RealmPreTrainedModel",
        "RealmReader",
        "RealmScorer",
        "load_tf_weights_in_realm",
    ]
    snake_case_					:					Dict       						=			["RealmRetriever"]


if TYPE_CHECKING:
    from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
    from .tokenization_realm import RealmTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_realm import RealmTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmScorer,
            load_tf_weights_in_realm,
        )
        from .retrieval_realm import RealmRetriever


else:
    import sys

    snake_case_					:					List[str]       						=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)












def   A		(__A  :       int			)  -> int:







     """simple docstring"""


     if not isinstance(__A  ,							__A			):
          UpperCAmelCase_		=				F"""Input value of [number={number}] must be an integer"""
          raise TypeError(__A			)
     if number < 1:
          raise ValueError('''Input must be a positive integer'''			)
     return number * (2 * number - 1)


if __name__ == "__main__":
    import doctest

    doctest.testmod()






