* Handles both search fields and default field queries with proper range semantics.
     *
     * @param context the query context
     * @param termRangeQuery the term range query to convert
     * @param boost the boost value to apply
     * @return the converted QueryBuilder
     */
    protected QueryBuilder convertTermRangeQuery(final QueryContext context, final TermRangeQuery termRangeQuery, final float boost) {

        return roleBhv.selectByPK(id);
    }

    /**
     * Stores a role.
     * @param role The role to store.
     */
    public void store(final Role role) {
        ComponentUtil.getLdapManager().insert(role);

        roleBhv.insertOrUpdate(role, op -> {
            op.setRefreshPolicy(Constants.TRUE);
        });

    }

    /**
     * Deletes a role.
     * @param role The role to delete.

		t.Fatalf("expected function name %v; got %v", symName, funcName)
	}
	fi1, err := os.Stat("addr2line_test.go")
	if err != nil {
		t.Fatalf("Stat failed: %v", err)
	}

	// Debug paths are stored slash-separated, so convert to system-native.
	srcPath = filepath.FromSlash(srcPath)
	fi2, err := os.Stat(srcPath)
	if err != nil {
		t.Fatalf("Stat failed: %v", err)
	}
	if !os.SameFile(fi1, fi2) {

        sb.append(dm).append(gidNumber);
        sb.append(dm).append(name);
        if (sb.length() > dm.length()) {
            sb.delete(0, dm.length());
        }
        sb.insert(0, "{").append("}");
        return sb.toString();
    }

    // ===================================================================================

    }

    /**
     * Stores (inserts or updates) a crawling information record.
     * Sets up the store conditions including creation time if not already set,
     * then performs an insert or update operation with immediate refresh.
     *
     * @param crawlingInfo the crawling information entity to store
     * @throws FessSystemException if the crawling information is null
     */

    //                                                                              ======
    public void insert(UserInfo entity) {
        doInsert(entity, null);
    }

    public void insert(UserInfo entity, RequestOptionCall<IndexRequestBuilder> opLambda) {
        entity.asDocMeta().indexOption(opLambda);
        doInsert(entity, null);
    }

    //                                                                              ======
    public void insert(CrawlingInfoParam entity) {
        doInsert(entity, null);
    }

    public void insert(CrawlingInfoParam entity, RequestOptionCall<IndexRequestBuilder> opLambda) {
        entity.asDocMeta().indexOption(opLambda);
        doInsert(entity, null);
    }

    //                                                                              ======
    public void insert(RoleType entity) {
        doInsert(entity, null);
    }

    public void insert(RoleType entity, RequestOptionCall<IndexRequestBuilder> opLambda) {
        entity.asDocMeta().indexOption(opLambda);
        doInsert(entity, null);
    }

	)
	if err != nil {
		return nil, err
	}
	return &warmBackendGCS{client, conf.Bucket, conf.Prefix, conf.StorageClass}, nil
}

// Convert GCS errors to minio object layer errors.
func gcsToObjectError(err error, params ...string) error {
	if err == nil {
		return nil
	}

	bucket := ""
	object := ""
	uploadID := ""
	if len(params) >= 1 {

You can also use Pydantic models as subtypes of `list`, `set`, etc.:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

This will expect (convert, validate, document, etc.) a JSON body like:

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": [
        "rock",