</description>
          <type>String</type>
        </field>
        <field>
          <name>properties</name>
          <version>3.0.0+</version>
          <description>Properties about the contributor, such as an instant messenger handle.</description>
          <type>Properties</type>
          <association xml.mapStyle="inline">
            <type>String</type>
            <multiplicity>*</multiplicity>

          message.startsWith("System property ") -> Type.Setup
          message.startsWith("Reload ") -> Type.Setup
          message == "No session to resume." -> Type.Handshake
          message.startsWith("Consuming ") -> Type.Handshake
          message.startsWith("Produced ") -> Type.Handshake
          message.startsWith("Negotiated ") -> Type.Handshake
          message.startsWith("Found resumable session") -> Type.Handshake

  Defined in <<<DefaultTypeProvider>>>
  ({{{./apidocs/org/apache/maven/repository/internal/type/DefaultTypeProvider.html}javadoc}},
  {{{./xref/org/apache/maven/repository/internal/type/DefaultTypeProvider.html}source}}):

*-----------------------+---------------+------------+-----------+-----------------------+-----------------------+
|| type                 || classifier   || extension || language || path types           || includesDependencies ||

  EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id);
  EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim);
  EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code);
  EXPECT_EQ(dltensor_out->dtype.bits, dltensor_in->dtype.bits);
  EXPECT_EQ(dltensor_out->dtype.lanes, dltensor_in->dtype.lanes);
  for (int i = 0; i < dltensor_in->ndim; ++i) {
    EXPECT_EQ(dltensor_out->shape[i], dltensor_in->shape[i]);
    if (dltensor_out->strides) {

          "name" : {
            "type" : "keyword"
          },
          "scriptData" : {
            "type" : "keyword"
          },
          "scriptType" : {
            "type" : "keyword"
          },
          "sortOrder" : {
            "type" : "integer"
          },
          "target" : {
            "type" : "keyword"
          },
          "updatedBy" : {
            "type" : "keyword"
          },

package migrator

import (
	"database/sql"
	"reflect"
)

// ColumnType column type implements ColumnType interface
type ColumnType struct {
	SQLColumnType      *sql.ColumnType
	NameValue          sql.NullString
	DataTypeValue      sql.NullString
	ColumnTypeValue    sql.NullString
	PrimaryKeyValue    sql.NullBool
	UniqueValue        sql.NullBool
	AutoIncrementValue sql.NullBool
	LengthValue        sql.NullInt64

// Its usage is remote tier cloud implementation specific.
type remoteVersionID string

// newWarmBackend instantiates the tier type specific WarmBackend, runs
// checkWarmBackend on it.
func newWarmBackend(ctx context.Context, tier madmin.TierConfig, probe bool) (d WarmBackend, err error) {
	switch tier.Type {
	case madmin.S3:
		d, err = newWarmBackendS3(*tier.S3, tier.Name)
	case madmin.Azure:

   */
  public static <T> Class<T> wrap(Class<T> type) {
    checkNotNull(type);

    // cast is safe: long.class and Long.class are both of type Class<Long>
    @SuppressWarnings("unchecked")
    Class<T> wrapped = (Class<T>) PRIMITIVE_TO_WRAPPER_TYPE.get(type);
    return (wrapped == null) ? type : wrapped;
  }

  /**
   * Returns the corresponding primitive type of {@code type} if it is a wrapper type; otherwise

                                "type": "array",
                                "items": {
                                    "anyOf": [{"type": "string"}, {"type": "integer"}]
                                },
                            },
                            "msg": {"title": "Message", "type": "string"},
                            "type": {"title": "Error Type", "type": "string"},

                        "required": ["loc", "msg", "type"],
                        "type": "object",
                        "properties": {
                            "loc": {
                                "title": "Location",
                                "type": "array",
                                "items": {
                                    "anyOf": [{"type": "string"}, {"type": "integer"}]
                                },