DoubleListSampler class
Samples List<double> directly, without allocating DataPoint objects.
Use this path inside ChartDataProcessor to avoid the: _extractDoubles → DataSampler.fromRaw (re-box) → sample → unbox round-trip that was previously wasting heap.
Constructors
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Static Methods
-
auto(
List< double> data, int threshold, {SamplingStrategy? forceStrategy}) → List<double> - Auto-selects strategy. Same thresholds as DataSampler.auto.
-
autoIndices(
List< double> data, int threshold, {SamplingStrategy? forceStrategy}) → List<int> - Auto-selects strategy and returns sampled indices.
-
lttb(
List< double> data, int threshold) → List<double> - Returns sampled doubles from LTTB indices.
-
lttbIndices(
List< double> data, int threshold) → List<int> - LTTB on raw doubles. Returns indices of selected points.
-
minMax(
List< double> data, int threshold) → List<double> - Returns sampled doubles keeping local min/max per bucket.
-
minMaxIndices(
List< double> data, int threshold) → List<int> - Returns indices sampled with min/max bucket strategy.
-
nth(
List< double> data, int threshold) → List<double> - Returns every Nth point.
-
nthIndices(
List< double> data, int threshold) → List<int> - Returns sampled indices for Nth-point strategy.
-
resolveStrategyForLength(
int finiteLength, {SamplingStrategy? forceStrategy}) → SamplingStrategy - Auto strategy selection shared by every sampler entry point.