}

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample
   * variance</a> of the values. If this dataset is a sample drawn from a population, this is an
   * unbiased estimator of the population variance of the population. The count must be greater than
   * one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple

// TensorFlow and populated by the plug-in.
typedef struct TF_ProfilerRegistrationParams {
  size_t struct_size;
  void* ext;  // reserved for future use

  // TensorFlow Profiler C API version.
  int32_t major_version;
  int32_t minor_version;
  int32_t patch_version;

  // [in/out] Memory owned by core but attributes within are populated by the
  // plugin.
  TP_Profiler* profiler;

	// distinguished names. Values override any attributes with the same OID.
	// The ExtraNames field is not populated when parsing, see Names.
	ExtraNames []AttributeTypeAndValue
}

// FillFromRDNSequence populates n from the provided [RDNSequence].
// Multi-entry RDNs are flattened, all entries are added to the
// relevant n fields, and the grouping is not preserved.

   * R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's
   * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}).
   *
   * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a
   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit

	pk.Lock()
	defer pk.Unlock()

	pk.pkMap[keyID] = key
}

func (pk *publicKeys) get(kid string) interface{} {
	pk.RLock()
	defer pk.RUnlock()
	return pk.pkMap[kid]
}

// PopulatePublicKey - populates a new publickey from the JWKS URL.
func (r *Config) PopulatePublicKey(arn arn.ARN) error {
	pCfg := r.arnProviderCfgsMap[arn]
	if pCfg.JWKS.URL == nil || pCfg.JWKS.URL.String() == "" {
		return nil
	}

   * R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's
   * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}).
   *
   * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a
   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit

mkdir -p $GOCACHE/fuzz/fuzztest/FuzzTarget
go run ./populate $GOCACHE/fuzz/fuzztest/FuzzTarget

go test -fuzz=FuzzTarget -fuzztime=10x .
stdout 'entries: 5'

-- go.mod --
module fuzztest

go 1.17

-- fuzz_test.go --
package fuzz

import "testing"

func FuzzTarget(f *testing.F) {
    f.Add(int(0))
    f.Fuzz(func(t *testing.T, _ int) {})
}

-- populate/main.go --
package main

import (

    tf::libtf::List user_list;
    // TODO(b/191267013): Populate with values.
    return user_list;
  }
  if (identifier == "trackable_dict_wrapper") {
    tf::libtf::Dictionary user_dict;
    // TODO(b/191267013): Populate with values.
    return user_dict;
  }
  if (identifier == "signature_map") {
    tf::libtf::Dictionary signature_map;
    // TODO(b/191267013): Populate with values.
    return signature_map;
  }

}

func (info *Info) recordTypes() bool {
	return info.Types != nil
}

// TypeOf returns the type of expression e, or nil if not found.
// Precondition: the Types, Uses and Defs maps are populated.
func (info *Info) TypeOf(e ast.Expr) Type {
	if t, ok := info.Types[e]; ok {
		return t.Type
	}
	if id, _ := e.(*ast.Ident); id != nil {
		if obj := info.ObjectOf(id); obj != nil {
			return obj.Type()

                        populate(r, tc);
                    }
                }
                result = this.table.get(name);
            }
        }
        catch ( IOException fnfe ) {
            log.error("Could not read lmhosts " + tc.getConfig().getLmHostsFileName(), fnfe); //$NON-NLS-1$
        }
        return result;
    }


    void populate ( Reader r, CIFSContext tc ) throws IOException {