MetricsTester Class Reference

Inherits o2::rans::Metrics< source_type >.

Public Member Functions
	MetricsTester (const DenseHistogram< source_type > &histogram, float_t cutoffPrecision=0.999)
	MetricsTester (const AdaptiveHistogram< source_type > &histogram, float_t cutoffPrecision=0.999)
	MetricsTester (const SparseHistogram< source_type > &histogram, float_t cutoffPrecision=0.999)
size_t	testComputeRenormingPrecision (float_t cutoffPrecision=0.999) noexcept
size_t	testComputeIncompressibleCount (gsl::span< source_type > distribution, source_type renormingPrecision) noexcept
Public Member Functions inherited from o2::rans::Metrics< source_type >
	Metrics ()=default
	Metrics (const DenseHistogram< source_type > &histogram, float_t cutoffPrecision=defaultCutoffPrecision)
	Metrics (const AdaptiveHistogram< source_type > &histogram, float_t cutoffPrecision=defaultCutoffPrecision)
	Metrics (const SparseHistogram< source_type > &histogram, float_t cutoffPrecision=defaultCutoffPrecision)
	Metrics (const DenseHistogram< source_type > &histogram, source_type min, source_type max, float_t cutoffPrecision=defaultCutoffPrecision)
	Metrics (const AdaptiveHistogram< source_type > &histogram, source_type min, source_type max, float_t cutoffPrecision=defaultCutoffPrecision)
	Metrics (const SparseHistogram< source_type > &histogram, source_type min, source_type max, float_t cutoffPrecision=defaultCutoffPrecision)
const DatasetProperties< source_type > &	getDatasetProperties () const noexcept
DatasetProperties< source_type > &	getDatasetProperties () noexcept
const CoderProperties< source_type > &	getCoderProperties () const noexcept
CoderProperties< source_type > &	getCoderProperties () noexcept
SizeEstimate	getSizeEstimate () const noexcept

Additional Inherited Members
Public Types inherited from o2::rans::Metrics< source_type >
using	source_type = source_type
Protected Member Functions inherited from o2::rans::Metrics< source_type >
void	init (const histogram_T &histogram, std::optional< source_type > min, std::optional< source_type > max, float_t cutoffPrecision)
void	computeMetrics (const histogram_T &histogram, std::optional< source_type > min, std::optional< source_type > max)
size_t	computeRenormingPrecision (float_t cutoffPrecision) noexcept
size_t	computeIncompressibleCount (gsl::span< uint32_t > distribution, uint32_t renormingPrecision) noexcept
Protected Attributes inherited from o2::rans::Metrics< source_type >
DatasetProperties< source_type >	mDatasetProperties
CoderProperties< source_type >	mCoderProperties

Detailed Description

Definition at line 113 of file test_ransMetrics.cxx.

Constructor & Destructor Documentation

MetricsTester() [1/3]

MetricsTester::MetricsTester ( const DenseHistogram< source_type > &  histogram, float_t  cutoffPrecision = 0.999  )

inline

Definition at line 116 of file test_ransMetrics.cxx.

MetricsTester() [2/3]

MetricsTester::MetricsTester ( const AdaptiveHistogram< source_type > &  histogram, float_t  cutoffPrecision = 0.999  )

inline

Definition at line 117 of file test_ransMetrics.cxx.

MetricsTester() [3/3]

MetricsTester::MetricsTester ( const SparseHistogram< source_type > &  histogram, float_t  cutoffPrecision = 0.999  )

inline

Definition at line 118 of file test_ransMetrics.cxx.

Member Function Documentation

testComputeIncompressibleCount()

size_t MetricsTester::testComputeIncompressibleCount ( gsl::span< source_type >  distribution, source_type  renormingPrecision  )

inlinenoexcept

Definition at line 120 of file test_ransMetrics.cxx.

testComputeRenormingPrecision()

size_t MetricsTester::testComputeRenormingPrecision ( float_t  cutoffPrecision = 0.999 )

inlinenoexcept

Definition at line 119 of file test_ransMetrics.cxx.

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The documentation for this class was generated from the following file:

• /home/runner/work/AliceO2/AliceO2/Utilities/rANS/test/test_ransMetrics.cxx