}

// ClearCounters clears/resets all coverage counter variables in the
// currently running program. It returns an error if the program in
// question was not built with the "-cover" flag. Clearing of coverage
// counters is also not supported for programs not using atomic
// counter mode (see more detailed comments below for the rationale
// here).
func ClearCounters() error {
	return cfile.ClearCounters()

// produces 992 bytes of RNG output, plus 32 bytes of input for the next
// iteration.
//
// The 32 bytes of input are used as a ChaCha8 key, with a zero nonce, to
// produce 1024 bytes of output (16 blocks, with counters 0 to 15).
// First, for each block, the values 0x61707865, 0x3320646e, 0x79622d32,
// 0x6b206574 are subtracted from the 32-bit little-endian words at
// position 0, 1, 2, and 3 respectively, and an increasing counter

longer active by looking at their metadata.

Second phase. Group the inactive count files by their expiry date, and
for each date generate the local report and the upload report. (The upload
report only contains the counters in the upload configuration.) The upload
report is saved in the local directory with a name like YYYY-MM-DD.json, if
there is no file already existing with that name.

	begin, end, err := s.getBeginningAndEndIndices(cidr)
	if err != nil {
		return err
	}
	s.Lock()
	defer s.Unlock()
	for i := begin; i <= end; i++ {
		// Only change the counters if we change the bit to prevent
		// double counting.
		if s.used.Bit(i) != 0 {
			s.used.SetBit(&s.used, i, 0)
			s.allocatedCIDRs--
			cidrSetReleases.WithLabelValues(s.label).Inc()
		}
	}

  // If true, generate program shape data for the ProgramShape method.
  bool gen_program_shape = false;

  // If true, emit a serialized HloProfilePrinterData protobuf that can be used
  // to pretty print HLO profile counters.
  bool gen_hlo_profile_printer_data = false;

  // If true, sets this executable as an XLA Runtime one.
  bool use_xla_runtime = false;
};

// Describes a generated metadata object file.
struct MetadataResult {

	// Instrumentation strategy. For now this is always set to
	// "normal", but in the future we may add new values (for example,
	// if panic paths are instrumented, or if the instrumenter
	// eliminates redundant counters).
	Strategy string

	// Prefix assigned to the names of counter variables generated
	// during instrumentation by cmd/cover.
	CounterPrefix string

	// Name chosen for the package ID variable generated during

		newValue := p.convertCPUValue(cpuCores, tc.cpuValue)
		assert.Equal(t, tc.expected, newValue)
	}
}

func TestGetCPUUsageNanoCores(t *testing.T) {
	// Scaled expected unit test values by the frequency the CPU perf counters are polled.
	perfCounterUpdatePeriodSeconds := uint64(perfCounterUpdatePeriod / time.Second)
	testCases := []struct {
		latestValue   uint64
		previousValue uint64
		expected      uint64
	}{

)

const (
	cpuQuery                  = "\\Processor(_Total)\\% Processor Time"
	memoryPrivWorkingSetQuery = "\\Process(_Total)\\Working Set - Private"
	memoryCommittedBytesQuery = "\\Memory\\Committed Bytes"
	// Perf counters are updated 10 seconds. This is the same as the default cadvisor housekeeping interval
	// set at https://github.com/kubernetes/kubernetes/blob/master/pkg/kubelet/cadvisor/cadvisor_linux.go
	perfCounterUpdatePeriod = 10 * time.Second

 *
 * <p>Cache statistics are incremented according to the following rules:
 *
 * <ul>
 *   <li>When a cache lookup encounters an existing cache entry {@code hitCount} is incremented.
 *   <li>When a cache lookup first encounters a missing cache entry, a new entry is loaded.
 *       <ul>
 *         <li>After successfully loading an entry {@code missCount} and {@code loadSuccessCount}

 *
 * <p>Cache statistics are incremented according to the following rules:
 *
 * <ul>
 *   <li>When a cache lookup encounters an existing cache entry {@code hitCount} is incremented.
 *   <li>When a cache lookup first encounters a missing cache entry, a new entry is loaded.
 *       <ul>
 *         <li>After successfully loading an entry {@code missCount} and {@code loadSuccessCount}