Documentation ¶
Overview ¶
Package gomega/gmeasure provides support for benchmarking and measuring code. It is intended as a more robust replacement for Ginkgo V1's Measure nodes.
gmeasure is organized around the metaphor of an Experiment that can record multiple Measurements. A Measurement is a named collection of data points and gmeasure supports measuring Values (of type float64) and Durations (of type time.Duration).
Experiments allows the user to record Measurements directly by passing in Values (i.e. float64) or Durations (i.e. time.Duration) or to measure measurements by passing in functions to measure. When measuring functions Experiments take care of timing the duration of functions (for Duration measurements) and/or recording returned values (for Value measurements). Experiments also support sampling functions - when told to sample Experiments will run functions repeatedly and measure and record results. The sampling behavior is configured by passing in a SamplingConfig that can control the maximum number of samples, the maximum duration for sampling (or both) and the number of concurrent samples to take.
Measurements can be decorated with additional information. This is supported by passing in special typed decorators when recording measurements. These include:
- Units("any string") - to attach units to a Value Measurement (Duration Measurements always have units of "duration") - Style("any Ginkgo color style string") - to attach styling to a Measurement. This styling is used when rendering console information about the measurement in reports. Color style strings are documented at TODO. - Precision(integer or time.Duration) - to attach precision to a Measurement. This controls how many decimal places to show for Value Measurements and how to round Duration Measurements when rendering them to screen.
In addition, individual data points in a Measurement can be annotated with an Annotation("any string"). The annotation is associated with the individual data point and is intended to convey additional context about the data point.
Once measurements are complete, an Experiment can generate a comprehensive report by calling its String() or ColorableString() method.
Users can also access and analyze the resulting Measurements directly. Use Experiment.Get(NAME) to fetch the Measurement named NAME. This returned struct will have fields containing all the data points and annotations recorded by the experiment. You can subsequently fetch the Measurement.Stats() to get a Stats struct that contains basic statistical information about the Measurement (min, max, median, mean, standard deviation). You can order these Stats objects using RankStats() to identify best/worst performers across multpile experiments or measurements.
gmeasure also supports caching Experiments via an ExperimentCache. The cache supports storing and retreiving experiments by name and version. This allows you to rerun code without repeating expensive experiments that may not have changed (which can be controlled by the cache version number). It also enables you to compare new experiment runs with older runs to detect variations in performance/behavior.
When used with Ginkgo, you can emit experiment reports and encode them in test reports easily using Ginkgo V2's support for Report Entries. Simply pass your experiment to AddReportEntry to get a report every time the tests run. You can also use AddReportEntry with Measurements to emit all the captured data and Rankings to emit measurement summaries in rank order.
Finally, Experiments provide an additional mechanism to measure durations called a Stopwatch. The Stopwatch makes it easy to pepper code with statements that measure elapsed time across different sections of code and can be useful when debugging or evaluating bottlenecks in a given codepath.
Index ¶
- Constants
- Variables
- type Annotation
- type CachedExperimentHeader
- type Experiment
- func (e *Experiment) ColorableString() string
- func (e *Experiment) Get(name string) Measurement
- func (e *Experiment) GetStats(name string) Stats
- func (e *Experiment) MeasureDuration(name string, callback func(), args ...interface{}) time.Duration
- func (e *Experiment) MeasureValue(name string, callback func() float64, args ...interface{}) float64
- func (e *Experiment) NewStopwatch() *Stopwatch
- func (e *Experiment) RecordDuration(name string, duration time.Duration, args ...interface{})
- func (e *Experiment) RecordNote(note string, args ...interface{})
- func (e *Experiment) RecordValue(name string, value float64, args ...interface{})
- func (e *Experiment) Sample(callback func(idx int), samplingConfig SamplingConfig)
- func (e *Experiment) SampleAnnotatedDuration(name string, callback func(idx int) Annotation, samplingConfig SamplingConfig, ...)
- func (e *Experiment) SampleAnnotatedValue(name string, callback func(idx int) (float64, Annotation), ...)
- func (e *Experiment) SampleDuration(name string, callback func(idx int), samplingConfig SamplingConfig, ...)
- func (e *Experiment) SampleValue(name string, callback func(idx int) float64, samplingConfig SamplingConfig, ...)
- func (e *Experiment) String() string
- type ExperimentCache
- func (cache ExperimentCache) Clear() error
- func (cache ExperimentCache) Delete(name string) error
- func (cache ExperimentCache) List() ([]CachedExperimentHeader, error)
- func (cache ExperimentCache) Load(name string, version int) *Experiment
- func (cache ExperimentCache) Save(name string, version int, experiment *Experiment) error
- type Measurement
- type MeasurementType
- type Measurements
- type PrecisionBundle
- type Ranking
- type RankingCriteria
- type SamplingConfig
- type Stat
- type Stats
- type StatsType
- type Stopwatch
- type Style
- type Units
Constants ¶
const CACHE_EXT = ".gmeasure-cache"
Variables ¶
var DefaultPrecisionBundle = PrecisionBundle{ Duration: 100 * time.Microsecond, ValueFormat: "%.3f", }
DefaultPrecisionBundle captures the default precisions for Vale and Duration measurements.
Functions ¶
This section is empty.
Types ¶
type Annotation ¶
type Annotation string
The Annotation decorator allows you to attach an annotation to a given recorded data-point:
For example:
e := gmeasure.NewExperiment("My Experiment") e.RecordValue("length", 3.141, gmeasure.Annotation("bob")) e.RecordValue("length", 2.71, gmeasure.Annotation("jane"))
...will result in a Measurement named "length" that records two values )[3.141, 2.71]) annotation with (["bob", "jane"])
type CachedExperimentHeader ¶
CachedExperimentHeader captures the name of the Cached Experiment and its Version
type Experiment ¶
type Experiment struct { Name string // Measurements includes all Measurements recorded by this experiment. You should access them by name via Get() and GetStats() Measurements Measurements // contains filtered or unexported fields }
Experiment is gmeasure's core data type. You use experiments to record Measurements and generate reports. Experiments are thread-safe and all methods can be called from multiple goroutines.
func NewExperiment ¶
func NewExperiment(name string) *Experiment
NexExperiment creates a new experiment with the passed-in name.
When using Ginkgo we recommend immediately registering the experiment as a ReportEntry:
experiment = NewExperiment("My Experiment") AddReportEntry(experiment.Name, experiment)
this will ensure an experiment report is emitted as part of the test output and exported with any test reports.
func (*Experiment) ColorableString ¶
func (e *Experiment) ColorableString() string
ColorableString returns a Ginkgo formatted summary of the experiment and all its Measurements. It is called automatically by Ginkgo's reporting infrastructure when the Experiment is registered as a ReportEntry via AddReportEntry.
func (*Experiment) Get ¶
func (e *Experiment) Get(name string) Measurement
Get returns the Measurement with the associated name. If no Measurement is found a zero Measurement{} is returned.
func (*Experiment) GetStats ¶
func (e *Experiment) GetStats(name string) Stats
GetStats returns the Stats for the Measurement with the associated name. If no Measurement is found a zero Stats{} is returned.
experiment.GetStats(name) is equivalent to experiment.Get(name).Stats()
func (*Experiment) MeasureDuration ¶
func (e *Experiment) MeasureDuration(name string, callback func(), args ...interface{}) time.Duration
MeasureDuration runs the passed-in callback and times how long it takes to complete. The resulting duration is recorded on a Duration Measurement with the passed-in name. If the Measurement does not exist it is created.
MeasureDuration supports the Style(), Precision(), and Annotation() decorations.
func (*Experiment) MeasureValue ¶
func (e *Experiment) MeasureValue(name string, callback func() float64, args ...interface{}) float64
MeasureValue runs the passed-in callback and records the return value on a Value Measurement with the passed-in name. If the Measurement does not exist it is created.
MeasureValue supports the Style(), Units(), Precision(), and Annotation() decorations.
func (*Experiment) NewStopwatch ¶
func (e *Experiment) NewStopwatch() *Stopwatch
NewStopwatch() returns a stopwatch configured to record duration measurements with this experiment.
func (*Experiment) RecordDuration ¶
func (e *Experiment) RecordDuration(name string, duration time.Duration, args ...interface{})
RecordDuration records the passed-in duration on a Duration Measurement with the passed-in name. If the Measurement does not exist it is created.
RecordDuration supports the Style(), Precision(), and Annotation() decorations.
func (*Experiment) RecordNote ¶
func (e *Experiment) RecordNote(note string, args ...interface{})
RecordNote records a Measurement of type MeasurementTypeNote - this is simply a textual note to annotate the experiment. It will be emitted in any experiment reports.
RecordNote supports the Style() decoration.
func (*Experiment) RecordValue ¶
func (e *Experiment) RecordValue(name string, value float64, args ...interface{})
RecordValue records the passed-in value on a Value Measurement with the passed-in name. If the Measurement does not exist it is created.
RecordValue supports the Style(), Units(), Precision(), and Annotation() decorations.
func (*Experiment) Sample ¶
func (e *Experiment) Sample(callback func(idx int), samplingConfig SamplingConfig)
Sample samples the passed-in callback repeatedly. The sampling is governed by the passed in SamplingConfig.
The SamplingConfig can limit the total number of samples and/or the total time spent sampling the callback. The SamplingConfig can also instruct Sample to run with multiple concurrent workers.
The callback is called with a zero-based index that incerements by one between samples.
func (*Experiment) SampleAnnotatedDuration ¶
func (e *Experiment) SampleAnnotatedDuration(name string, callback func(idx int) Annotation, samplingConfig SamplingConfig, args ...interface{})
SampleDuration samples the passed-in callback and times how long it takes to complete each sample. The resulting durations are recorded on a Duration Measurement with the passed-in name. If the Measurement does not exist it is created.
The callback is given a zero-based index that increments by one between samples. The callback must return an Annotation - this annotation is attached to the measured duration.
The Sampling is configured via the passed-in SamplingConfig ¶
SampleAnnotatedDuration supports the Style() and Precision() decorations.
func (*Experiment) SampleAnnotatedValue ¶
func (e *Experiment) SampleAnnotatedValue(name string, callback func(idx int) (float64, Annotation), samplingConfig SamplingConfig, args ...interface{})
SampleAnnotatedValue samples the passed-in callback and records the return value on a Value Measurement with the passed-in name. If the Measurement does not exist it is created.
The callback is given a zero-based index that increments by one between samples. The callback must return a float64 and an Annotation - the annotation is attached to the recorded value.
The Sampling is configured via the passed-in SamplingConfig ¶
SampleValue supports the Style(), Units(), and Precision() decorations.
func (*Experiment) SampleDuration ¶
func (e *Experiment) SampleDuration(name string, callback func(idx int), samplingConfig SamplingConfig, args ...interface{})
SampleDuration samples the passed-in callback and times how long it takes to complete each sample. The resulting durations are recorded on a Duration Measurement with the passed-in name. If the Measurement does not exist it is created.
The callback is given a zero-based index that increments by one between samples. The Sampling is configured via the passed-in SamplingConfig
SampleDuration supports the Style(), Precision(), and Annotation() decorations. When passed an Annotation() the same annotation is applied to all sample measurements.
func (*Experiment) SampleValue ¶
func (e *Experiment) SampleValue(name string, callback func(idx int) float64, samplingConfig SamplingConfig, args ...interface{})
SampleValue samples the passed-in callback and records the return value on a Value Measurement with the passed-in name. If the Measurement does not exist it is created.
The callback is given a zero-based index that increments by one between samples. The callback must return a float64. The Sampling is configured via the passed-in SamplingConfig
SampleValue supports the Style(), Units(), Precision(), and Annotation() decorations. When passed an Annotation() the same annotation is applied to all sample measurements.
func (*Experiment) String ¶
func (e *Experiment) String() string
ColorableString returns an unformatted summary of the experiment and all its Measurements.
type ExperimentCache ¶
type ExperimentCache struct {
Path string
}
ExperimentCache provides a director-and-file based cache of experiments
func NewExperimentCache ¶
func NewExperimentCache(path string) (ExperimentCache, error)
NewExperimentCache creates and initializes a new cache. Path must point to a directory (if path does not exist, NewExperimentCache will create a directory at path).
Cached Experiments are stored as separate files in the cache directory - the filename is a hash of the Experiment name. Each file contains two JSON-encoded objects - a CachedExperimentHeader that includes the experiment's name and cache version number, and then the Experiment itself.
func (ExperimentCache) Clear ¶
func (cache ExperimentCache) Clear() error
Clear empties out the cache - this will delete any and all detected cache files in the cache directory. Use with caution!
func (ExperimentCache) Delete ¶
func (cache ExperimentCache) Delete(name string) error
Delete removes the experiment with the passed-in name from the cache
func (ExperimentCache) List ¶
func (cache ExperimentCache) List() ([]CachedExperimentHeader, error)
List returns a list of all Cached Experiments found in the cache.
func (ExperimentCache) Load ¶
func (cache ExperimentCache) Load(name string, version int) *Experiment
Load fetches an experiment from the cache. Lookup occurs by name. Load requires that the version numer in the cache is equal to or greater than the passed-in version.
If an experiment with corresponding name and version >= the passed-in version is found, it is unmarshaled and returned.
If no experiment is found, or the cached version is smaller than the passed-in version, Load will return nil.
When paired with Ginkgo you can cache experiments and prevent potentially expensive recomputation with this pattern:
const EXPERIMENT_VERSION = 1 //bump this to bust the cache and recompute _all_ experiments Describe("some experiments", func() { var cache gmeasure.ExperimentCache var experiment *gmeasure.Experiment BeforeEach(func() { cache = gmeasure.NewExperimentCache("./gmeasure-cache") name := CurrentSpecReport().LeafNodeText experiment = cache.Load(name, EXPERIMENT_VERSION) if experiment != nil { AddReportEntry(experiment) Skip("cached") } experiment = gmeasure.NewExperiment(name) AddReportEntry(experiment) }) It("foo runtime", func() { experiment.SampleDuration("runtime", func() { //do stuff }, gmeasure.SamplingConfig{N:100}) }) It("bar runtime", func() { experiment.SampleDuration("runtime", func() { //do stuff }, gmeasure.SamplingConfig{N:100}) }) AfterEach(func() { if !CurrentSpecReport().State.Is(types.SpecStateSkipped) { cache.Save(experiment.Name, EXPERIMENT_VERSION, experiment) } }) })
func (ExperimentCache) Save ¶
func (cache ExperimentCache) Save(name string, version int, experiment *Experiment) error
Save stores the passed-in experiment to the cache with the passed-in name and version.
type Measurement ¶
type Measurement struct { // Type is the MeasurementType - one of MeasurementTypeNote, MeasurementTypeDuration, or MeasurementTypeValue Type MeasurementType // ExperimentName is the name of the experiment that this Measurement is associated with ExperimentName string // If Type is MeasurementTypeNote, Note is populated with the note text. Note string // If Type is MeasurementTypeDuration or MeasurementTypeValue, Name is the name of the recorded measurement Name string // Style captures the styling information (if any) for this Measurement Style string // Units capture the units (if any) for this Measurement. Units is set to "duration" if the Type is MeasurementTypeDuration Units string // PrecisionBundle captures the precision to use when rendering data for this Measurement. // If Type is MeasurementTypeDuration then PrecisionBundle.Duration is used to round any durations before presentation. // If Type is MeasurementTypeValue then PrecisionBundle.ValueFormat is used to format any values before presentation PrecisionBundle PrecisionBundle // If Type is MeasurementTypeDuration, Durations will contain all durations recorded for this measurement Durations []time.Duration // If Type is MeasurementTypeValue, Values will contain all float64s recorded for this measurement Values []float64 // If Type is MeasurementTypeDuration or MeasurementTypeValue then Annotations will include string annotations for all recorded Durations or Values. // If the user does not pass-in an Annotation() decoration for a particular value or duration, the corresponding entry in the Annotations slice will be the empty string "" Annotations []string }
Measurement records all captured data for a given measurement. You generally don't make Measurements directly - but you can fetch them from Experiments using Get().
When using Ginkgo, you can register Measurements as Report Entries via AddReportEntry. This will emit all the captured data points when Ginkgo generates the report.
func (Measurement) ColorableString ¶
func (m Measurement) ColorableString() string
ColorableString generates a styled report that includes all the data points for this Measurement. It is called automatically by Ginkgo's reporting infrastructure when the Measurement is registered as a ReportEntry via AddReportEntry.
func (Measurement) Stats ¶
func (m Measurement) Stats() Stats
Stats returns a Stats struct summarizing the statistic of this measurement
func (Measurement) String ¶
func (m Measurement) String() string
String generates an unstyled report that includes all the data points for this Measurement.
type MeasurementType ¶
type MeasurementType uint
const ( MeasurementTypeInvalid MeasurementType = iota MeasurementTypeNote MeasurementTypeDuration MeasurementTypeValue )
func (MeasurementType) MarshalJSON ¶
func (s MeasurementType) MarshalJSON() ([]byte, error)
func (MeasurementType) String ¶
func (s MeasurementType) String() string
func (*MeasurementType) UnmarshalJSON ¶
func (s *MeasurementType) UnmarshalJSON(b []byte) error
type Measurements ¶
type Measurements []Measurement
func (Measurements) IdxWithName ¶
func (m Measurements) IdxWithName(name string) int
type PrecisionBundle ¶
The PrecisionBundle decorator controls the rounding of value and duration measurements. See Precision().
func Precision ¶
func Precision(p interface{}) PrecisionBundle
Precision() allows you to specify the precision of a value or duration measurement - this precision is used when rendering the measurement to screen.
To control the precision of Value measurements, pass Precision an integer. This will denote the number of decimal places to render (equivalen to the format string "%.Nf") To control the precision of Duration measurements, pass Precision a time.Duration. Duration measurements will be rounded oo the nearest time.Duration when rendered.
For example:
e := gmeasure.NewExperiment("My Experiment") e.RecordValue("length", 3.141, gmeasure.Precision(2)) e.RecordValue("length", 2.71) e.RecordDuration("cooking time", 3214 * time.Millisecond, gmeasure.Precision(100*time.Millisecond)) e.RecordDuration("cooking time", 2623 * time.Millisecond)
type Ranking ¶
type Ranking struct { Criteria RankingCriteria Stats []Stats }
Ranking ranks a set of Stats by a specified RankingCritera. Use RankStats to create a Ranking.
When using Ginkgo, you can register Rankings as Report Entries via AddReportEntry. This will emit a formatted table representing the Stats in rank-order when Ginkgo generates the report.
func RankStats ¶
func RankStats(criteria RankingCriteria, stats ...Stats) Ranking
RankStats creates a new ranking of the passed-in stats according to the passed-in criteria.
func (Ranking) ColorableString ¶
ColorableString generates a styled report that includes a table of the rank-ordered Stats It is called automatically by Ginkgo's reporting infrastructure when the Ranking is registered as a ReportEntry via AddReportEntry.
type RankingCriteria ¶
type RankingCriteria uint
RankingCriteria is an enum representing the criteria by which Stats should be ranked. The enum names should be self explanatory. e.g. LowerMeanIsBetter means that Stats with lower mean values are considered more beneficial, with the lowest mean being declared the "winner" .
const ( LowerMeanIsBetter RankingCriteria = iota HigherMeanIsBetter LowerMedianIsBetter HigherMedianIsBetter LowerMinIsBetter HigherMinIsBetter LowerMaxIsBetter HigherMaxIsBetter )
func (RankingCriteria) MarshalJSON ¶
func (s RankingCriteria) MarshalJSON() ([]byte, error)
func (RankingCriteria) String ¶
func (s RankingCriteria) String() string
func (*RankingCriteria) UnmarshalJSON ¶
func (s *RankingCriteria) UnmarshalJSON(b []byte) error
type SamplingConfig ¶
type SamplingConfig struct { // N - the maximum number of samples to record N int // Duration - the maximum amount of time to spend recording samples Duration time.Duration // MinSamplingInterval - the minimum time that must elapse between samplings. It is an error to specify both MinSamplingInterval and NumParallel. MinSamplingInterval time.Duration // NumParallel - the number of parallel workers to spin up to record samples. It is an error to specify both MinSamplingInterval and NumParallel. NumParallel int }
SamplingConfig configures the Sample family of experiment methods. These methods invoke passed-in functions repeatedly to sample and record a given measurement. SamplingConfig is used to control the maximum number of samples or time spent sampling (or both). When both are specified sampling ends as soon as one of the conditions is met. SamplingConfig can also ensure a minimum interval between samples and can enable concurrent sampling.
type Stat ¶
type Stat uint
Stat is an enum representing the statistics you can request of a Stats struct
func (Stat) MarshalJSON ¶
func (*Stat) UnmarshalJSON ¶
type Stats ¶
type Stats struct { // Type is the StatType - one of StatTypeDuration or StatTypeValue Type StatsType // ExperimentName is the name of the Experiment that recorded the Measurement from which this Stat is derived ExperimentName string // MeasurementName is the name of the Measurement from which this Stat is derived MeasurementName string // Units captures the Units of the Measurement from which this Stat is derived Units string // Style captures the Style of the Measurement from which this Stat is derived Style string // PrecisionBundle captures the precision to use when rendering data for this Measurement. // If Type is StatTypeDuration then PrecisionBundle.Duration is used to round any durations before presentation. // If Type is StatTypeValue then PrecisionBundle.ValueFormat is used to format any values before presentation PrecisionBundle PrecisionBundle // N represents the total number of data points in the Meassurement from which this Stat is derived N int // If Type is StatTypeValue, ValueBundle will be populated with float64s representing this Stat's statistics ValueBundle map[Stat]float64 // If Type is StatTypeDuration, DurationBundle will be populated with float64s representing this Stat's statistics DurationBundle map[Stat]time.Duration // AnnotationBundle is populated with Annotations corresponding to the data points that can be associated with a Stat. // For example AnnotationBundle[StatMin] will return the Annotation for the data point that has the minimum value/duration. AnnotationBundle map[Stat]string }
Stats records the key statistics for a given measurement. You generally don't make Stats directly - but you can fetch them from Experiments using GetStats() and from Measurements using Stats().
When using Ginkgo, you can register Measurements as Report Entries via AddReportEntry. This will emit all the captured data points when Ginkgo generates the report.
func (Stats) DurationFor ¶
DurationFor returns the time.Duration for a particular Stat. You should only use this if the Stats has Type StatsTypeDuration For example:
mean := experiment.GetStats("runtime").ValueFor(gmeasure.StatMean)
will return the mean duration for the "runtime" Measurement.
func (Stats) FloatFor ¶
FloatFor returns a float64 representation of the passed-in Stat. When Type is StatsTypeValue this is equivalent to s.ValueFor(stat). When Type is StatsTypeDuration this is equivalent to float64(s.DurationFor(stat))
func (Stats) String ¶
String returns a minimal summary of the stats of the form "MIN < [MEDIAN] | <MEAN> ±STDDEV < MAX"
func (Stats) StringFor ¶
StringFor returns a formatted string representation of the passed-in Stat. The formatting honors the precision directives provided in stats.PrecisionBundle
type StatsType ¶
type StatsType uint
func (StatsType) MarshalJSON ¶
func (*StatsType) UnmarshalJSON ¶
type Stopwatch ¶
type Stopwatch struct { Experiment *Experiment // contains filtered or unexported fields }
Stopwatch provides a convenient abstraction for recording durations. There are two ways to make a Stopwatch:
You can make a Stopwatch from an Experiment via experiment.NewStopwatch(). This is how you first get a hold of a Stopwatch.
You can subsequently call stopwatch.NewStopwatch() to get a fresh Stopwatch. This is only necessary if you need to record durations on a different goroutine as a single Stopwatch is not considered thread-safe.
The Stopwatch starts as soon as it is created. You can Pause() the stopwatch and Reset() it as needed.
Stopwatches refer back to their parent Experiment. They use this reference to record any measured durations back with the Experiment.
func (*Stopwatch) NewStopwatch ¶
NewStopwatch returns a new Stopwatch pointing to the same Experiment as this Stopwatch
func (*Stopwatch) Pause ¶
Pause pauses the Stopwatch. While pasued the Stopwatch does not accumulate elapsed time. This is useful for ignoring expensive operations that are incidental to the behavior you are attempting to characterize. Note: You must call Resume() before you can Record() subsequent measurements.
For example:
stopwatch := experiment.NewStopwatch() // first expensive operation stopwatch.Record("first operation").Reset() // second expensive operation - part 1 stopwatch.Pause() // something expensive that we don't care about stopwatch.Resume() // second expensive operation - part 2 stopwatch.Record("second operation").Reset() // the recorded duration captures the time elapsed during parts 1 and 2 of the second expensive operation, but not the bit in between
The Stopwatch must be running when Pause is called.
func (*Stopwatch) Record ¶
Record captures the amount of time that has passed since the Stopwatch was created or most recently Reset(). It records the duration on it's associated Experiment in a Measurement with the passed-in name.
Record takes all the decorators that experiment.RecordDuration takes (e.g. Annotation("...") can be used to annotate this duration)
Note that Record does not Reset the Stopwatch. It does, however, return the Stopwatch so the following pattern is common:
stopwatch := experiment.NewStopwatch() // first expensive operation stopwatch.Record("first operation").Reset() //records the duration of the first operation and resets the stopwatch. // second expensive operation stopwatch.Record("second operation").Reset() //records the duration of the second operation and resets the stopwatch.
omitting the Reset() after the first operation would cause the duration recorded for the second operation to include the time elapsed by both the first _and_ second operations.
The Stopwatch must be running (i.e. not paused) when Record is called.
type Style ¶
type Style string
The Style decorator allows you to associate a style with a measurement. This is used to generate colorful console reports using Ginkgo V2's console formatter. Styles are strings in curly brackets that correspond to a color or style.
For example:
e := gmeasure.NewExperiment("My Experiment") e.RecordValue("length", 3.141, gmeasure.Style("{{blue}}{{bold}}")) e.RecordValue("length", 2.71) e.RecordDuration("cooking time", 3 * time.Second, gmeasure.Style("{{red}}{{underline}}")) e.RecordDuration("cooking time", 2 * time.Second)
will emit a report with blue bold entries for the length measurement and red underlined entries for the cooking time measurement.
Units are only set the first time a value or duration of a given name is recorded. In the example above any subsequent calls to e.RecordValue("length", X) will maintain the "{{blue}}{{bold}}" style even if a new Style is passed in later.
type Units ¶
type Units string
The Units decorator allows you to specify units (an arbitrary string) when recording values. It is ignored when recording durations.
e := gmeasure.NewExperiment("My Experiment") e.RecordValue("length", 3.141, gmeasure.Units("inches"))
Units are only set the first time a value of a given name is recorded. In the example above any subsequent calls to e.RecordValue("length", X) will maintain the "inches" units even if a new set of Units("UNIT") are passed in later.