Struct autd3::prelude::Group

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pub struct Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,
{ /* private fields */ }

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impl<K, FK, F> Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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pub const fn parallel(&self) -> bool

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impl<K, FK, F> Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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pub const fn with_parallel(self, parallel: bool) -> Group<K, FK, F>

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impl<K, FK, F> Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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pub fn new(f: F) -> Group<K, FK, F>

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impl<K, FK, F> Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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pub fn set( self, key: K, gain: impl Gain + Send + Sync + 'static, ) -> Group<K, FK, F>

Trait Implementations§

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impl<K, FK, F> Datagram for Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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type G = GainOperationGenerator<Group<K, FK, F>>

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fn operation_generator( self, geometry: &Geometry, ) -> Result<<Group<K, FK, F> as Datagram>::G, AUTDInternalError>

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fn trace(&self, geometry: &Geometry)

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fn timeout(&self) -> Option<Duration>

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fn parallel_threshold(&self) -> Option<usize>

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impl<K, FK, F> DatagramS for Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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type G = GainOperationGenerator<Group<K, FK, F>>

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fn operation_generator_with_segment( self, geometry: &Geometry, segment: Segment, transition: bool, ) -> Result<<Group<K, FK, F> as DatagramS>::G, AUTDInternalError>

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fn trace(&self, geometry: &Geometry)

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fn timeout(&self) -> Option<Duration>

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fn parallel_threshold(&self) -> Option<usize>

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impl<K, FK, F> Gain for Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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fn calc( &self, geometry: &Geometry, ) -> Result<Box<dyn Fn(&Device) -> Box<dyn Fn(&Transducer) -> Drive + Send + Sync> + '_>, AUTDInternalError>

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fn trace(&self, geometry: &Geometry)

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fn calc_with_filter<'a>( &'a self, geometry: &Geometry, _filter: HashMap<usize, BitVec>, ) -> Result<Box<dyn Fn(&Device) -> Box<dyn Fn(&Transducer) -> Drive + Send + Sync> + 'a>, AUTDInternalError>

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fn transform<'a, D, FT, F>( f: F, ) -> Box<dyn Fn(&Device) -> Box<dyn Fn(&Transducer) -> Drive + Send + Sync> + 'a>
where D: Into<Drive>, FT: Fn(&Transducer) -> D + Sync + Send + 'static, F: Fn(&Device) -> FT + 'a, Self: Sized,

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impl<K, FK, F> IntoCache<Group<K, FK, F>> for Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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fn with_cache(self) -> Cache<Group<K, FK, F>>

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impl<K, FK, F> IntoTransform<Group<K, FK, F>> for Group<K, FK, F>
where K: Hash + Eq + Clone + Debug + Send + Sync, FK: Fn(&Transducer) -> Option<K> + Send + Sync, F: Fn(&Device) -> FK + Send + Sync,

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fn with_transform<GainTransformD, GainTransformFT, GainTransformF>( self, f: GainTransformF, ) -> Transform<Group<K, FK, F>, GainTransformD, GainTransformFT, GainTransformF>
where GainTransformD: Into<Drive>, GainTransformFT: Fn(&Transducer, Drive) -> GainTransformD + Send + Sync, GainTransformF: Fn(&Device) -> GainTransformFT,

Auto Trait Implementations§

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impl<K, FK, F> Freeze for Group<K, FK, F>
where F: Freeze,

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impl<K, FK, F> !RefUnwindSafe for Group<K, FK, F>

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impl<K, FK, F> Send for Group<K, FK, F>

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impl<K, FK, F> Sync for Group<K, FK, F>

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impl<K, FK, F> Unpin for Group<K, FK, F>
where F: Unpin, K: Unpin,

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impl<K, FK, F> !UnwindSafe for Group<K, FK, F>

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where T: 'static + ?Sized,

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where T: ?Sized,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<D> IntoDatagramWithParallelThreshold<D> for D
where D: Datagram,

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impl<D> IntoDatagramWithSegment<D> for D
where D: DatagramS,

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fn with_segment( self, segment: Segment, transition: bool, ) -> DatagramWithSegment<D>

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impl<D> IntoDatagramWithTimeout<D> for D
where D: Datagram,

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Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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