*/
internal fun Headers.Builder.commonSet(
  name: String,
  value: String,
) = apply {
  headersCheckName(name)
  headersCheckValue(value, name)
  removeAll(name)
  commonAddLenient(name, value)
}

/** Equivalent to `build().get(name)`, but potentially faster. */
internal fun Headers.Builder.commonGet(name: String): String? {
  for (i in namesAndValues.size - 2 downTo 0 step 2) {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {
        MaxAggregationBuilder builder = AggregationBuilders.max(name).field(field);
        regA(builder);
        return builder;
    }

	if f.Name != ft.Name {
		t.Errorf("name=%q, want %q", f.Name, ft.Name)
	}
	if !ft.Modified.IsZero() && !equalTimeAndZone(f.Modified, ft.Modified) {
		t.Errorf("%s: Modified=%s, want %s", f.Name, f.Modified, ft.Modified)
	}
	if !ft.ModTime.IsZero() && !equalTimeAndZone(f.ModTime(), ft.ModTime) {
		t.Errorf("%s: ModTime=%s, want %s", f.Name, f.ModTime(), ft.ModTime)
	}

	if tableName != "public.company" {
		t.Errorf("invalid table name generated, got %v", tableName)
	}

	columdName := ns.ColumnName("", "NameCID")
	if columdName != "name_cid" {
		t.Errorf("invalid column name generated, got %v", columdName)
	}
}

type CustomReplacer struct {
	f func(string) string
}

func (r CustomReplacer) Replace(name string) string {
	return r.f(name)
}

func TestCustomReplacer(t *testing.T) {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

	var users1 []User
	DB.Joins("inner join pets on pets.user_id = users.id").Where("users.name = ?", user.Name).Find(&users1)
	if len(users1) != 3 {
		t.Errorf("should find two users using left join, but got %v", len(users1))
	}

	var users2 []User
	DB.Joins("inner join pets on pets.user_id = users.id AND pets.name = ?", user.Pets[0].Name).Where("users.name = ?", user.Name).First(&users2)
	if len(users2) != 1 {

	}

	fields := []*schema.Field{
		{Name: "ID", DBName: "id", BindNames: []string{"ID"}, DataType: schema.Uint, PrimaryKey: true, Size: 64, Creatable: true, Updatable: true, Readable: true, HasDefaultValue: true, AutoIncrement: true},
		{Name: "Name", DBName: "", BindNames: []string{"Name"}, DataType: "", Tag: `gorm:"-"`, Creatable: false, Updatable: false, Readable: false},