Factor a bit the data generator
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@@ -6,7 +6,7 @@ use std::pin::Pin;
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use crate::EventFull;
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use futures_core::Stream;
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use futures_util::{pin_mut, StreamExt, future::ready};
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use netpod::{Channel, ChannelConfig, ScalarType, Shape, Node};
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use netpod::{Channel, ChannelConfig, ScalarType, Shape, Node, timeunits::*};
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pub trait AggregatorTdim {
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type InputValue;
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@@ -192,10 +192,10 @@ impl AggregatableTdim for MinMaxAvgScalarEventBatch {
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pub struct MinMaxAvgScalarEventBatchAggregator {
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ts1: u64,
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ts2: u64,
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count: u64,
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min: f32,
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max: f32,
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sum: f32,
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count: u64,
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}
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impl MinMaxAvgScalarEventBatchAggregator {
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@@ -272,6 +272,7 @@ impl AggregatorTdim for MinMaxAvgScalarEventBatchAggregator {
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MinMaxAvgScalarBinSingle {
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ts1: self.ts1,
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ts2: self.ts2,
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count: self.count,
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min,
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max,
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avg,
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@@ -284,6 +285,7 @@ impl AggregatorTdim for MinMaxAvgScalarEventBatchAggregator {
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pub struct MinMaxAvgScalarBinBatch {
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ts1s: Vec<u64>,
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ts2s: Vec<u64>,
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counts: Vec<u64>,
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mins: Vec<f32>,
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maxs: Vec<f32>,
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avgs: Vec<f32>,
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@@ -328,7 +330,6 @@ impl AggregatorTdim for MinMaxAvgScalarBinBatchAggregator {
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todo!()
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}
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fn ingest(&mut self, v: &Self::InputValue) {
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todo!()
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}
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@@ -341,6 +342,7 @@ impl AggregatorTdim for MinMaxAvgScalarBinBatchAggregator {
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pub struct MinMaxAvgScalarBinSingle {
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ts1: u64,
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ts2: u64,
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count: u64,
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min: f32,
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max: f32,
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avg: f32,
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@@ -348,7 +350,7 @@ pub struct MinMaxAvgScalarBinSingle {
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impl std::fmt::Debug for MinMaxAvgScalarBinSingle {
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fn fmt(&self, fmt: &mut std::fmt::Formatter) -> std::fmt::Result {
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write!(fmt, "MinMaxAvgScalarBinSingle ts1 {} ts2 {} min {:7.2e} max {:7.2e} avg {:7.2e}", self.ts1, self.ts2, self.min, self.max, self.avg)
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write!(fmt, "MinMaxAvgScalarBinSingle ts1 {} ts2 {} count {} min {:7.2e} max {:7.2e} avg {:7.2e}", self.ts1, self.ts2, self.count, self.min, self.max, self.avg)
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}
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}
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@@ -389,7 +391,9 @@ impl AggregatorTdim for MinMaxAvgScalarBinSingleAggregator {
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todo!()
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}
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fn result(self) -> Self::OutputValue { todo!() }
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fn result(self) -> Self::OutputValue {
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todo!()
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}
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}
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@@ -753,10 +757,6 @@ pub struct TimeRange {
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}
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use crate::timeunits::*;
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#[test]
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fn agg_x_dim_0() {
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taskrun::run(async { agg_x_dim_0_inner().await; Ok(()) }).unwrap();
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