import (
	"bytes"
	"fmt"
	"io"
	"net/http"
	"net/url"
	"os"
	"os/exec"
	"path/filepath"
	"runtime"
	"strconv"
	"strings"
	"sync"
	"time"

	"github.com/google/pprof/internal/measurement"
	"github.com/google/pprof/internal/plugin"
	"github.com/google/pprof/profile"
)

// fetchProfiles fetches and symbolizes the profiles specified by s.
// It will merge all the profiles it is able to retrieve, even if

	<-b.signal
	return b.result
}

// launch launches the benchmark function. It gradually increases the number
// of benchmark iterations until the benchmark runs for a second in order
// to get a reasonable measurement. It prints timing information in this form
//		testing.BenchmarkHello	100000		19 ns/op
// launch is run by the fun function as a separate goroutine.
func (b *B) launch() {

import (
	"bufio"
	"fmt"
	"html/template"
	"io"
	"os"
	"path/filepath"
	"regexp"
	"sort"
	"strconv"
	"strings"

	"github.com/google/pprof/internal/graph"
	"github.com/google/pprof/internal/measurement"
	"github.com/google/pprof/internal/plugin"
	"github.com/google/pprof/profile"
)

// printSource prints an annotated source listing, include all
// functions with samples that match the regexp rpt.options.symbol.

	lock(&ticks.lock)
	t.startTime = nanotime()
	t.startTicks = cputicks()
	unlock(&ticks.lock)
}

// minTimeForTicksPerSecond is the minimum elapsed time we require to consider our ticksPerSecond
// measurement to be of decent enough quality for profiling.
//
// There's a linear relationship here between minimum time and error from the true value.
// The error from the true ticks-per-second in a linux/amd64 VM seems to be:

If you want to look at the measurement for the Gradle build itself you can have a look at the blog post https://blog.gradle.org/introducing-gradle-build-cache["Introducing the build cache"].

== Measuring developer builds

	startTime            time.Time // Start time for window
	expMovingAvg         float64   // Previously calculated exponential moving average
}

// newRateMeasurement creates a new instance of the measurement with the initial start time.
func newRateMeasurement(initTime time.Time) *rateMeasurement {
	return &rateMeasurement{
		startTime: initTime,
	}
}

// incrementBytes add bytes reported for a bucket/target.

	// so as to be roughly exponential but still round numbers in everyday units. This is to minimise the number
	// of buckets while allowing accurate measurement of thresholds which might be used in SLOs
	// e.g. x% of pods start up within 30 seconds, or 15 minutes, etc.
	PodStartSLIDuration = metrics.NewHistogramVec(
		&metrics.HistogramOpts{
			Subsystem:      KubeletSubsystem,

		"Show percentages relative to focused subgraph",
		"If unset, percentages are relative to full graph before focusing",
		"to facilitate comparison with original graph."),
	"unit": helpText(
		"Measurement units to display",
		"Scale the sample values to this unit.",
		"For time-based profiles, use seconds, milliseconds, nanoseconds, etc.",
		"For memory profiles, use megabytes, kilobytes, bytes, etc.",

	{170, "EDC5170I", "An error was encountered with WLM."},
	{171, "EDC5171I", "An error was encountered with CPL."},
	{172, "EDC5172I", "An error was encountered with Application Response Measurement (ARM) component."},
	{200, "EDC5200I", "The application contains a Language Environment member language that cannot tolerate a fork()."},

		return nil, err
	}

	// If *most* samples have the same second-to-the-bottom frame, it
	// strongly suggests that it is an uninteresting artifact of
	// measurement -- a stack frame pushed by the signal handler. The
	// bottom frame is always correct as it is picked up from the signal
	// structure, not the stack. Check if this is the case and if so,
	// remove.