```

then it is a "callable".

## Classes as dependencies { #classes-as-dependencies_1 }

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In this case, `fluffy` is an instance of the class `Cat`.

```Python
something(some_argument, some_keyword_argument="foo")
```

в таком случае он является «вызываемым».

## Классы как зависимости { #classes-as-dependencies_1 }

Вы можете заметить, что для создания экземпляра класса в Python используется тот же синтаксис.

Например:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

something(some_argument, some_keyword_argument="foo")
```

o zaman bu bir "callable" demektir.

## Dependency Olarak Class'lar { #classes-as-dependencies_1 }

Python'da bir class'tan instance oluştururken de aynı söz dizimini kullandığınızı fark etmiş olabilirsiniz.

Örneğin:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

```Python
something()
```

或是

```Python
something(some_argument, some_keyword_argument="foo")
```

那它就是一個「callable」。

## 以類別作為相依性 { #classes-as-dependencies_1 }

你可能已經注意到，建立一個 Python 類別的實例時，你用的語法也是一樣的。

例如：

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

在這個例子中，`fluffy` 是 `Cat` 類別的一個實例。

- Use `OptionalEntity<T>` for nullable returns
- Plain classes (no extends/implements)

### Helper
- Stateless utility classes
- Access via `ComponentUtil.getXyzHelper()`
- Named with "Helper" suffix

### DBFlute Generated Code
```
opensearch/{index}/
├── bsentity/, bsbhv/    # Base classes (DO NOT EDIT)
├── exentity/, exbhv/    # Extended classes (customize here)

)

// Standard constants for all storage class
const (
	// Reduced redundancy storage class
	RRS = "REDUCED_REDUNDANCY"
	// Standard storage class
	STANDARD = "STANDARD"
)

// Standard constants for config info storage class
const (
	ClassStandard = "standard"
	ClassRRS      = "rrs"
	Optimize      = "optimize"
	InlineBlock   = "inline_block"

	// Reduced redundancy storage class environment variable

або

```Python
something(some_argument, some_keyword_argument="foo")
```

тоді це «викликаємий».

## Класи як залежності { #classes-as-dependencies_1 }

Ви могли помітити, що для створення екземпляра класу Python ви використовуєте той самий синтаксис.

Наприклад:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In diesem Fall ist `fluffy` eine Instanz der Klasse `Cat`.

Und um `fluffy` zu erzeugen, rufen Sie `Cat` auf.

Eine Python-Klasse ist also auch ein **Callable**.

Darum können Sie in **FastAPI** auch eine Python-Klasse als Abhängigkeit verwenden.

Was FastAPI tatsächlich prüft, ist, ob es sich um ein „Callable“ (Funktion, Klasse oder irgendetwas anderes) handelt und ob die Parameter definiert sind.

# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Project Overview

curl4j is a simple cURL-like Java HTTP client library providing a fluent API for building HTTP requests. It's designed to be minimal with only Apache Commons IO as a dependency.

## Directory Structure

```
curl4j/
├── src/
│   ├── main/java/org/codelibs/curl/

```Python
something()
```

或者

```Python
something(some_argument, some_keyword_argument="foo")
```

这就是 "可调用对象"。

## 类作为依赖项 { #classes-as-dependencies_1 }

你可能会注意到，要创建一个 Python 类的实例，你可以使用相同的语法。

举个例子:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

在这个例子中, `fluffy` 是一个 `Cat` 类的实例。