}
	sort.Strings(preloadNames)

	isJoined := func(name string) (joined bool, nestedJoins []string) {
		for _, join := range joins {
			if _, ok := relationships.Relations[join]; ok && name == join {
				joined = true
				continue
			}
			joinNames := strings.SplitN(join, ".", 2)
			if len(joinNames) == 2 {
				if _, ok := relationships.Relations[joinNames[0]]; ok && name == joinNames[0] {
					joined = true

	enc := jsoniter.ConfigCompatibleWithStandardLibrary.NewEncoder(buf)

	for i := range items {
		if err = enc.Encode(items[i]); err != nil {
			return err
		}
	}

	path := filepath.Join(store.directory, key.String())
	if key.Compress {
		err = os.WriteFile(path, s2.Encode(nil, buf.Bytes()), os.FileMode(0o770))
	} else {
		err = os.WriteFile(path, buf.Bytes(), os.FileMode(0o770))
	}

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

就能以如下方式调用：

```Python
user_dict = user_in.dict()
```

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

```Python
{
    'username': 'john',
    'password': 'secret',

.
 | map(select(.unitTests) | .name)
 | to_entries
 | group_by(.key % 10)
 | map({
     name: map(.value) | join(", "),
     tasks: map(.value + ":test") | join(" "),

func TestNewPReader(t *testing.T) {
	files, err := os.ReadDir("testdata")
	if err != nil {
		t.Fatal(err)
	}
	for _, file := range files {
		t.Run(file.Name(), func(t *testing.T) {
			f, err := os.Open(filepath.Join("testdata", file.Name()))
			if err != nil {
				t.Fatal(err)
			}
			r := NewPReader(f, &ReaderArgs{})
			var record sql.Record
			for {
				record, err = r.Read(record)
				if err != nil {
					break

)

func TestNewReader(t *testing.T) {
	files, err := os.ReadDir("testdata")
	if err != nil {
		t.Fatal(err)
	}
	for _, file := range files {
		t.Run(file.Name(), func(t *testing.T) {
			f, err := os.Open(filepath.Join("testdata", file.Name()))
			if err != nil {
				t.Fatal(err)
			}
			r := NewReader(f, &ReaderArgs{})
			var record sql.Record
			for {
				record, err = r.Read(record)
				if err != nil {
					break
				}

                    msg += ". Path to offending node from root:\n";
                    msg += stepData.getPath().stream()
                            .map(n -> " -> " + n.toString())
                            .collect(Collectors.joining("\n"));
                    msg += "\n => " + stepData.getNode();
                }
                return msg;
            } else if (data instanceof ArtifactDescriptorRequest request) {

    }

    public String toLineString() {
        if (isUpdated()) {
            return StringUtils.join(newInputs, ",") + "=>" + newOutput;
        }
        return StringUtils.join(inputs, ",") + "=>" + output;
    }

Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt.

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```

			minioMetaBucket: path.Join(minioMetaBucket, historyFile),
		})
		if err != nil {
			return err
		}
	}
	return saveConfig(ctx, objAPI, historyFile, kv)
}

func saveServerConfig(ctx context.Context, objAPI ObjectLayer, cfg interface{}) error {
	data, err := json.Marshal(cfg)
	if err != nil {
		return err
	}

	configFile := path.Join(minioConfigPrefix, minioConfigFile)