from typing import TYPE_CHECKING

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


__lowerCAmelCase    :  str										= {
    'configuration_big_bird': ['BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BigBirdConfig', 'BigBirdOnnxConfig'],
}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase    :  str										= ['BigBirdTokenizer']

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase    :  Optional[int]										= ['BigBirdTokenizerFast']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase    :  Dict										= [
        'BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST',
        'BigBirdForCausalLM',
        'BigBirdForMaskedLM',
        'BigBirdForMultipleChoice',
        'BigBirdForPreTraining',
        'BigBirdForQuestionAnswering',
        'BigBirdForSequenceClassification',
        'BigBirdForTokenClassification',
        'BigBirdLayer',
        'BigBirdModel',
        'BigBirdPreTrainedModel',
        'load_tf_weights_in_big_bird',
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase    :  Optional[Any]										= [
        'FlaxBigBirdForCausalLM',
        'FlaxBigBirdForMaskedLM',
        'FlaxBigBirdForMultipleChoice',
        'FlaxBigBirdForPreTraining',
        'FlaxBigBirdForQuestionAnswering',
        'FlaxBigBirdForSequenceClassification',
        'FlaxBigBirdForTokenClassification',
        'FlaxBigBirdModel',
        'FlaxBigBirdPreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig, BigBirdOnnxConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_big_bird import BigBirdTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_big_bird_fast import BigBirdTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_big_bird import (
            BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdForCausalLM,
            BigBirdForMaskedLM,
            BigBirdForMultipleChoice,
            BigBirdForPreTraining,
            BigBirdForQuestionAnswering,
            BigBirdForSequenceClassification,
            BigBirdForTokenClassification,
            BigBirdLayer,
            BigBirdModel,
            BigBirdPreTrainedModel,
            load_tf_weights_in_big_bird,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_big_bird import (
            FlaxBigBirdForCausalLM,
            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )

else:
    import sys

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



def   a_					(_lowerCAmelCase  :   str       )->				int:
    snake_case:						List[str]         =   0
    for letter in data:
        snake_case:						int         =   (hash_ << 4) + ord(_lowerCAmelCase       )
        snake_case:						Optional[int]         =   hash_ & 0xf_0_0_0_0_0_0_0
        if x != 0:
            hash_ ^= x >> 24
        hash_ &= ~x
    return hash_


if __name__ == "__main__":
    import doctest

    doctest.testmod()


