package tests_test

import (
	"context"
	"testing"

	"gorm.io/gorm"
	. "gorm.io/gorm/utils/tests"
)

func NameIn1And2(d *gorm.DB) *gorm.DB {
	return d.Where("name in (?)", []string{"ScopeUser1", "ScopeUser2"})
}

func NameIn2And3(d *gorm.DB) *gorm.DB {
	return d.Where("name in (?)", []string{"ScopeUser2", "ScopeUser3"})
}

func NameIn(names []string) func(d *gorm.DB) *gorm.DB {
	return func(d *gorm.DB) *gorm.DB {

     *
     * @return a new RequestDataContext instance
     */
    public static RequestDataContext newRequestData() {
        return new RequestDataContext();
    }

    /**
     * Context class for building RequestData instances using a fluent API.
     */
    public static class RequestDataContext {
        private final RequestData data;

        private RequestDataContext() {

//	encryptedContent := Encrypt(compressedContent)
//
//	// Now, we need an io.Reader that can access
//	// the ETag computed over the content.
//	reader := etag.Wrap(encryptedContent, content)
func Wrap(wrapped, content io.Reader) io.Reader {
	if t, ok := content.(Tagger); ok {
		return wrapReader{
			Reader: wrapped,
			Tagger: t,
		}
	}
	return wrapReader{
		Reader: wrapped,
	}
}

 * or method references instead of classes, leaving your code easier to migrate in the future.
 *
 * <p>To use a reference of this type (say, named {@code guavaPredicate}) in a context where {@code
 * java.util.function.Predicate} is expected, use the method reference {@code
 * guavaPredicate::apply}. For the other direction, use {@code javaUtilPredicate::test}. A future

                        "type": "object",
                    },
                    "ValidationError": {
                        "properties": {
                            "ctx": {"title": "Context", "type": "object"},
                            "input": {"title": "Input"},
                            "loc": {
                                "items": {

                        "title": "MessageOutput",
                    },
                    "ValidationError": {
                        "properties": {
                            "ctx": {"title": "Context", "type": "object"},
                            "input": {"title": "Input"},
                            "loc": {
                                "items": {

	Schema                 *Schema
	EmbeddedSchema         *Schema
	OwnerSchema            *Schema
	ReflectValueOf         func(context.Context, reflect.Value) reflect.Value
	ValueOf                func(context.Context, reflect.Value) (value interface{}, zero bool)
	Set                    func(context.Context, reflect.Value, interface{}) error
	Serializer             SerializerInterface
	NewValuePool           FieldNewValuePool

func (client *storageRESTClient) MakeVolBulk(ctx context.Context, volumes ...string) (err error) {
	return errInvalidArgument
}

// MakeVol - create a volume on a remote disk.
func (client *storageRESTClient) MakeVol(ctx context.Context, volume string) (err error) {
	return errInvalidArgument
}

// ListVols - List all volumes on a remote disk.
func (client *storageRESTClient) ListVols(ctx context.Context) (vols []VolInfo, err error) {

//
// This is a `MetricsLoaderFn`.
//
// This includes node level S3 HTTP metrics.
//
// This function currently ignores `opts`.
func loadAPIRequestsHTTPMetrics(ctx context.Context, m MetricValues, _ *metricsCache) error {
	// Collect node level S3 HTTP metrics.
	httpStats := globalHTTPStats.toServerHTTPStats(false)

	// Currently we only collect S3 API related stats, so we set the "type"

            }
        }
    }

    /**
     * Puts data into the result data map after processing it through a template script.
     * The template is evaluated using the specified script engine with the value and context.
     *
     * @param dataMap the data map to modify
     * @param key the key to store the processed value under
     * @param value the original value to process
     * @param template the template script to evaluate