




from typing import TYPE_CHECKING

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


__A							=     {
    "configuration_unispeech_sat": ["UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechSatConfig"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__A							=     [
							    "UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "UniSpeechSatForAudioFrameClassification",
							    "UniSpeechSatForCTC",
							    "UniSpeechSatForPreTraining",
							    "UniSpeechSatForSequenceClassification",
							    "UniSpeechSatForXVector",
							    "UniSpeechSatModel",
							    "UniSpeechSatPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_unispeech_sat import (
														    UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    UniSpeechSatForAudioFrameClassification,
														    UniSpeechSatForCTC,
														    UniSpeechSatForPreTraining,
														    UniSpeechSatForSequenceClassification,
														    UniSpeechSatForXVector,
														    UniSpeechSatModel,
														    UniSpeechSatPreTrainedModel,
														)

else:
							import sys

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







"""simple docstring"""

def 					UpperCamelCase__       (						lowercase__					:       int				):
		if not isinstance(lowercase__    ,       lowercase__				):
				raise ValueError("double_factorial() only accepts integral values"				)
		if n < 0:
				raise ValueError("double_factorial() not defined for negative values"				)
		return 1 if n <= 1 else n * double_factorial(n - 2				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

