Documentation
¶
Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type ClampedRandomWalkDistribution ¶
type ClampedRandomWalkDistribution struct {
Step Distribution
Min float64
Max float64
State float64 // optional
}
ClampedRandomWalkDistribution is a stateful random walk, with minimum and maximum bounds. Initialize it with a Min, Max, and an underlying distribution, which is used to compute the new step value.
func CWD ¶
func CWD(step Distribution, min, max, state float64) *ClampedRandomWalkDistribution
CWD returns a new ClampedRandomWalkDistribution based on a given distribution and optional starting state
func (*ClampedRandomWalkDistribution) Advance ¶
func (d *ClampedRandomWalkDistribution) Advance()
Advance computes the next value of this distribution and stores it.
func (*ClampedRandomWalkDistribution) Get ¶
func (d *ClampedRandomWalkDistribution) Get() float64
Get returns the last computed value for this distribution.
type ConstantDistribution ¶
type ConstantDistribution struct {
State float64
}
ConstantDistribution is a stateful distribution that always returns the same value
func (*ConstantDistribution) Advance ¶
func (d *ConstantDistribution) Advance()
Advance does nothing in a constant distribution
func (*ConstantDistribution) Get ¶
func (d *ConstantDistribution) Get() float64
Get returns the last computed value for this distribution.
type Distribution ¶
type Distribution interface {
Advance()
Get() float64 // should be idempotent
}
Distribution provides an interface to model a statistical distribution.
type MonotonicRandomWalkDistribution ¶
type MonotonicRandomWalkDistribution struct {
Step Distribution
State float64
}
MonotonicRandomWalkDistribution is a stateful random walk that only increases. Initialize it with a Start and an underlying distribution, which is used to compute the new step value. The sign of any value of the u.d. is always made positive.
func MWD ¶
func MWD(step Distribution, state float64) *MonotonicRandomWalkDistribution
MWD creates a new MonotonicRandomWalkDistribution with a given distribution and initial state
func (*MonotonicRandomWalkDistribution) Advance ¶
func (d *MonotonicRandomWalkDistribution) Advance()
Advance computes the next value of this distribution and stores it.
func (*MonotonicRandomWalkDistribution) Get ¶
func (d *MonotonicRandomWalkDistribution) Get() float64
Get returns the last computed value for this distribution.
type NormalDistribution ¶
type NormalDistribution struct {
Mean float64
StdDev float64
// contains filtered or unexported fields
}
NormalDistribution models a normal distribution (stateless).
func ND ¶
func ND(mean, stddev float64) *NormalDistribution
ND creates a new normal distribution with the given mean/stddev
func (*NormalDistribution) Advance ¶
func (d *NormalDistribution) Advance()
Advance advances this distribution. Since the distribution is stateless, this just overwrites the internal cache value.
func (*NormalDistribution) Get ¶
func (d *NormalDistribution) Get() float64
Get returns the last computed value for this distribution.
type RandomWalkDistribution ¶
type RandomWalkDistribution struct {
Step Distribution
State float64 // optional
}
RandomWalkDistribution is a stateful random walk. Initialize it with an underlying distribution, which is used to compute the new step value.
func WD ¶
func WD(step Distribution, state float64) *RandomWalkDistribution
WD creates a new RandomWalkDistribution based on a given distribution and starting state
func (*RandomWalkDistribution) Advance ¶
func (d *RandomWalkDistribution) Advance()
Advance computes the next value of this distribution and stores it.
func (*RandomWalkDistribution) Get ¶
func (d *RandomWalkDistribution) Get() float64
Get returns the last computed value for this distribution.
type SimulatedMeasurement ¶
SimulatedMeasurement simulates one measurement (e.g. Redis for DevOps).
type Simulator ¶
type Simulator interface {
Finished() bool
Next(*serialize.Point) bool
Fields() map[string][][]byte
TagKeys() [][]byte
}
Simulator simulates a use case.
type SimulatorConfig ¶
SimulatorConfig is an interface to create a Simulator from a time.Duration
type UniformDistribution ¶
type UniformDistribution struct {
Low float64
High float64
// contains filtered or unexported fields
}
UniformDistribution models a uniform distribution (stateless).
func UD ¶
func UD(low, high float64) *UniformDistribution
UD creates a new uniform distribution with the given range
func (*UniformDistribution) Advance ¶
func (d *UniformDistribution) Advance()
Advance advances this distribution. Since the distribution is stateless, this just overwrites the internal cache value.
func (*UniformDistribution) Get ¶
func (d *UniformDistribution) Get() float64
Get returns the last computed value for this distribution.
Source Files