{
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

}

type IndexOption struct {
	*Field
	Expression string
	Sort       string // DESC, ASC
	Collate    string
	Length     int
	priority   int
}

// ParseIndexes parse schema indexes
func (schema *Schema) ParseIndexes() map[string]Index {
	indexes := map[string]Index{}

	for _, field := range schema.Fields {
		if field.TagSettings["INDEX"] != "" || field.TagSettings["UNIQUEINDEX"] != "" {

     * @throws IOException
     *             If an error occurs while parsing the material.
     */
    public Type1Message ( byte[] material ) throws IOException {
        parse(material);
    }


    /**
     * Returns the default flags for a generic Type-1 message in the
     * current environment.
     * 
     * @param tc
     *            context to use

			}
			if !reflect.DeepEqual(got, tt.want) {
				t.Errorf("newScopeStackTraceLevelPair() got = %v, want %v", got, tt.want)
			}
		})
	}
}

func Test_chooseClientFlag(t *testing.T) {
	url, _ := url.Parse("http://localhost/scopej/resource")

	ctrzClient := &ControlzClient{
		baseURL:    url,
		httpClient: &http.Client{},
	}

	type args struct {
		ctrzClient      *ControlzClient
		reset           bool

		if !DB.Migrator().HasColumn(&EngadgetPost{}, name) {
			t.Errorf("should has prefixed column %v", name)
		}
	}

	stmt := gorm.Statement{DB: DB}
	if err := stmt.Parse(&EngadgetPost{}); err != nil {
		t.Fatalf("failed to parse embedded struct")
	} else if len(stmt.Schema.PrimaryFields) != 1 {
		t.Errorf("should have only one primary field with embedded struct, but got %v", len(stmt.Schema.PrimaryFields))
	}

    @OutputFile
    abstract RegularFileProperty getLinksFile();

    @TaskAction
    def transform() {
        XIncludeAwareXmlProvider provider = new XIncludeAwareXmlProvider()
        provider.parse(sourceFile.get().asFile)
        transformDocument(provider.document)
        provider.write(destFile.get().asFile)
    }

    private def transformDocument(Document mainDocbookTemplate) {

Weitere Informationen hierzu finden Sie im [Handbuch für fortgeschrittene Benutzer](../advanced/index.md){.internal-link target=_blank}.

## Einzelheiten

Das erste `"/static"` bezieht sich auf den Unterpfad, auf dem diese „Unteranwendung“ „gemountet“ wird. Daher wird jeder Pfad, der mit `"/static"` beginnt, von ihr verarbeitet.

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["body", "size"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "XL",
                }
            ],
            "body": {"title": "towel", "size": "XL"},
        }
    ) | IsDict(

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [