

from typing import TYPE_CHECKING

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


lowercase     :       List[Any]        =       {
    "configuration_unispeech_sat": ["UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechSatConfig"],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase     :       Any        =       [
					    "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

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






lowercase     :       dict[str, float]        =       {
    "kilogram": 1,
    "gram": pow(10, 3),
    "milligram": pow(10, 6),
    "metric-ton": pow(10, -3),
    "long-ton": 0.0009842073,
    "short-ton": 0.0011023122,
    "pound": 2.2046244202,
    "stone": 0.1574731728,
    "ounce": 35.273990723,
    "carrat": 5000,
    "atomic-mass-unit": 6.0_22_13_66_52E26,
}

lowercase     :       dict[str, float]        =       {
    "kilogram": 1,
    "gram": pow(10, -3),
    "milligram": pow(10, -6),
    "metric-ton": pow(10, 3),
    "long-ton": 1016.04608,
    "short-ton": 907.184,
    "pound": 0.453592,
    "stone": 6.35029,
    "ounce": 0.0283495,
    "carrat": 0.0002,
    "atomic-mass-unit": 1.6_60_54_01_99E-27,
}







def  UpperCAmelCase_   (_lowerCAmelCase :		str     ,			_lowerCAmelCase :		str     ,			_lowerCAmelCase :		float		):
			if to_type not in KILOGRAM_CHART or from_type not in WEIGHT_TYPE_CHART:
						__UpperCamelCase    :    Dict								=      (
						    F'''Invalid \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
						    F'''Supported values are: {", ".join(_lowerCAmelCase		)}'''
						)
						raise ValueError(_lowerCAmelCase		)
			return value * KILOGRAM_CHART[to_type] * WEIGHT_TYPE_CHART[from_type]


if __name__ == "__main__":
					import doctest

					doctest.testmod()