"name": {
        "type": "keyword"
      },
      "value": {
        "type": "keyword"
      },
      "webConfigId": {
        "type": "keyword"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      }
    }

	"gorm.io/gorm/clause"
)

// ConstraintInterface database constraint interface
type ConstraintInterface interface {
	GetName() string
	Build() (sql string, vars []interface{})
}

// GormDataTypeInterface gorm data type interface
type GormDataTypeInterface interface {
	GormDataType() string
}

// FieldNewValuePool field new scan value pool
type FieldNewValuePool interface {
	Get() interface{}
	Put(interface{})
}

  - type: textarea
    id: expected
    attributes:
      label: What did you expect to happen?
    validations:
      required: true

  - type: textarea
    id: repro
    attributes:
      label: How can we reproduce it (as minimally and precisely as possible)?
    validations:
      required: true

  - type: textarea
    id: additional
    attributes:
      label: Anything else we need to know?

        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "queries" : {
            "type" : "keyword"
          },
          "term" : {
            "type" : "keyword"
          },
          "updatedBy" : {
            "type" : "keyword"
          },
          "updatedTime" : {

///

And if you click it, you have a little authorization form to type a `username` and `password` (and other optional fields):

<img src="/img/tutorial/security/image02.png">

/// note

It doesn't matter what you type in the form, it won't work yet. But we'll get there.

///

which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily

        this.groupId = groupId;
        this.artifactId = artifactId;
        this.version = version;
        this.type = type;
        this.baseMessage = message;
    }

    public InvalidArtifactRTException(
            String groupId, String artifactId, String version, String type, String message, Throwable cause) {
        super(cause);

        this.groupId = groupId;

        "arabic_keywords": {
          "type":       "keyword_marker",
          "keywords": ["مرحباا", "عالم", "بحث"]
        },
        "arabic_stemmer": {
          "type":       "stemmer",
          "language":   "arabic"
        },
        "arabic_override": {
          "type":       "stemmer_override",
          "rules": []
        },
        "armenian_stop": {
          "type":       "stop",

        "arabic_keywords": {
          "type":       "keyword_marker",
          "keywords": ["مرحباا", "عالم", "بحث"]
        },
        "arabic_stemmer": {
          "type":       "stemmer",
          "language":   "arabic"
        },
        "arabic_override": {
          "type":       "stemmer_override",
          "rules": []
        },
        "armenian_stop": {
          "type":       "stop",

import org.apache.maven.artifact.Artifact;

/** Artifact Filter which filters on artifact type */
@Deprecated
public class TypeArtifactFilter implements ArtifactFilter {
    private String type = "jar";

    public TypeArtifactFilter(String type) {
        this.type = type;
    }

    public boolean include(Artifact artifact) {
        return type.equals(artifact.getType());
    }

    @Override
    public int hashCode() {