trait Aggregates_3[A, B, C, t, Ns[_, _, _, _]] extends AggregatesOps_3[A, B, C, t, Ns]
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abstract
def
_aggrDist(kw: Keywords.Kw): Ns[A, B, Set[C], t]
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- AggregatesOps_3
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abstract
def
_aggrDouble(kw: Keywords.Kw): Ns[A, B, Double, Double] with SortAttrs_3[A, B, Double, Double, Ns]
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abstract
def
_aggrInt(kw: Keywords.Kw): Ns[A, B, Int, Int] with SortAttrs_3[A, B, Int, Int, Ns]
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abstract
def
_aggrSet(kw: Keywords.Kw, n: Option[Int]): Ns[A, B, Set[t], t]
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abstract
def
_aggrT(kw: Keywords.Kw): Ns[A, B, C, t]
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abstract
def
_aggrTsort(kw: Keywords.Kw): Ns[A, B, C, t] with SortAttrs_3[A, B, C, t, Ns]
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def
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def
##(): Int
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def
==(arg0: Any): Boolean
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- def apply(kw: Keywords.stddev): Ns[A, B, Double, Double] with SortAttrs_3[A, B, Double, Double, Ns]
- def apply(kw: Keywords.variance): Ns[A, B, Double, Double] with SortAttrs_3[A, B, Double, Double, Ns]
- def apply(kw: Keywords.avg): Ns[A, B, Double, Double] with SortAttrs_3[A, B, Double, Double, Ns]
- def apply(kw: Keywords.samples): Ns[A, B, Set[t], t]
- def apply(kw: Keywords.rands): Ns[A, B, Set[t], t]
- def apply(kw: Keywords.maxs): Ns[A, B, Set[t], t]
- def apply(kw: Keywords.mins): Ns[A, B, Set[t], t]
- def apply(kw: Keywords.distinct): Ns[A, B, Set[C], t]
- def apply(kw: Keywords.sample): Ns[A, B, C, t]
- def apply(kw: Keywords.rand): Ns[A, B, C, t]
- def apply(kw: Keywords.median): Ns[A, B, C, t] with SortAttrs_3[A, B, C, t, Ns]
- def apply(kw: Keywords.sum): Ns[A, B, C, t] with SortAttrs_3[A, B, C, t, Ns]
- def apply(kw: Keywords.max): Ns[A, B, C, t] with SortAttrs_3[A, B, C, t, Ns]
- def apply(kw: Keywords.min): Ns[A, B, C, t] with SortAttrs_3[A, B, C, t, Ns]
- def apply(kw: Keywords.countDistinct): Ns[A, B, Int, Int] with SortAttrs_3[A, B, Int, Int, Ns]
- def apply(kw: Keywords.count): Ns[A, B, Int, Int] with SortAttrs_3[A, B, Int, Int, Ns]
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