* @param fields array of fields to search in
     * @param excludes array of words to exclude from results
     * @return list of popular words matching the criteria
     */
    public List<String> getWordList(final SearchRequestType searchRequestType, final String seed, final String[] tags, final String[] roles,
            final String[] fields, final String[] excludes) {

        final String[] fields = getParamValueArray(request, "facet.field");
        final String[] queries = getParamValueArray(request, "facet.query");
        if (fields.length == 0 && queries.length == 0) {
            return null;
        }
        final FacetInfo facetInfo = new FacetInfo();
        facetInfo.field = fields;
        facetInfo.query = queries;

    return set(re.findall("{(.*?)}", path))


_invalid_args_message = (
    "Invalid args for response field! Hint: "
    "check that {type_} is a valid Pydantic field type. "
    "If you are using a return type annotation that is not a valid Pydantic "
    "field (e.g. Union[Response, dict, None]) you can disable generating the "
    "response model from the type annotation with the path operation decorator "

		},
		// Test case - 3.
		// Test case with missing fields.
		// A valid authorization string should have 3 fields.
		{
			inputV4AuthStr:    signV4Algorithm,
			expectedAuthField: signValues{},
			expectedErrCode:   ErrMissingFields,
		},
		// Test case - 4.
		// Test case with invalid credential field.
		{
			inputV4AuthStr:    signV4Algorithm + " Cred=,a,b",

	user, err := schema.Parse(&UserWithPermissionControl{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("Failed to parse user with permission, got error %v", err)
	}

	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},

        });
    }

    @Test
    void testInheritedFields() throws Exception {
        // Verify inherited fields are properly set
        assertEquals(0x10, msrpcShareGetInfo.getOpnum());

        // Test that the info field is properly initialized
        Field infoField = msrpcShareGetInfo.getClass().getSuperclass().getDeclaredField("info");
        infoField.setAccessible(true);

这些额外的信息将按原样添加到输出的JSON模式中。

## `Field` 的附加参数

在 `Field`, `Path`, `Query`, `Body` 和其他你之后将会看到的工厂函数，你可以为JSON 模式声明额外信息，你也可以通过给工厂函数传递其他的任意参数来给JSON 模式声明额外信息，比如增加 `example`:

{* ../../docs_src/schema_extra_example/tutorial002_py310.py hl[2,8:11] *}

/// warning

请记住，传递的那些额外参数不会添加任何验证，只会添加注释，用于文档的目的。

///

## `Body` 额外参数

你可以通过传递额外信息给 `Field` 同样的方式操作`Path`, `Query`, `Body`等。

    }

    /**
     * Adds a field and text pair to the field log for tracking query terms.
     * @param field The field name.
     * @param text The query text for this field.
     */
    public void addFieldLog(final String field, final String text) {
        if (fieldLogMap == null) {
            return;
        }

        List<String> list = fieldLogMap.get(field);
        if (list == null) {

	// ErrModelValueRequired model value required
	ErrModelValueRequired = errors.New("model value required")
	// ErrModelAccessibleFieldsRequired model accessible fields required
	ErrModelAccessibleFieldsRequired = errors.New("model accessible fields required")
	// ErrSubQueryRequired sub query required
	ErrSubQueryRequired = errors.New("sub query required")
	// ErrInvalidData unsupported data

        try {
            java.lang.reflect.Field ptypeField = jcifs.dcerpc.DcerpcMessage.class.getDeclaredField("ptype");
            ptypeField.setAccessible(true);
            assertEquals(0, ptypeField.get(msrpcSamrOpenAlias), "ptype should be initialized to 0");

            java.lang.reflect.Field flagsField = jcifs.dcerpc.DcerpcMessage.class.getDeclaredField("flags");