ctx := context.Background()
	users := []User{
		{Name: uuid.NewString(), Age: 21},
		{Name: uuid.NewString(), Age: 22},
		{Name: uuid.NewString(), Age: 23},
	}

	if err := gorm.G[User](DB).CreateInBatches(ctx, &users, 2); err != nil {
		t.Fatalf("CreateInBatches failed: %v", err)
	}

	userIds := []uuid.UUID{}

module gorm.io/gorm/tests

go 1.23.0

require (
	github.com/google/uuid v1.6.0
	github.com/jinzhu/now v1.1.5
	github.com/lib/pq v1.10.9
	github.com/stretchr/testify v1.11.1
	gorm.io/driver/gaussdb v0.1.0
	gorm.io/driver/mysql v1.6.0
	gorm.io/driver/postgres v1.6.0
	gorm.io/driver/sqlite v1.6.0
	gorm.io/driver/sqlserver v1.6.1
	gorm.io/gorm v1.30.2
)

require (
	filippo.io/edwards25519 v1.1.0 // indirect

* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types { #other-data-types }

Here are some of the additional data types you can use:

* `UUID`:
    * A standard "Universally Unique Identifier", common as an ID in many databases and systems.
    * In requests and responses will be represented as a `str`.
* `datetime.datetime`:
    * A Python `datetime.datetime`.

For example, you cannot put a Pydantic model in a `JSONResponse` without first converting it to a `dict` with all the data types (like `datetime`, `UUID`, etc) converted to JSON-compatible types.

For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:

{* ../../docs_src/response_directly/tutorial001.py hl[6:7,21:22] *}

    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.
    * ...and others.

All the validation is handled by the well-established and robust **Pydantic**.

### Security and authentication { #security-and-authentication }

import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Properties;
import java.util.Set;
import java.util.TimeZone;
import java.util.UUID;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.function.Supplier;

    * Конвертація Python типів (`str`, `int`, `float`, `bool`, `list`, тощо).
    * `datetime` об'єкти.
    * `UUID` об'єкти.
    * Моделі бази даних.
    * ...та багато іншого.
* Автоматичну інтерактивну документацію API, включаючи 2 альтернативні інтерфейси користувача:
    * Swagger UI.
    * ReDoc.

---

    * Chuyển đổi kiểu dữ liệu Python (`str`, `int`, `float`, `bool`, `list`,...).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.
    * ...và nhiều hơn thế.
* Tự động tạo tài liệu tương tác API, bao gồm 2 giao diện người dùng:
    * Swagger UI.
    * ReDoc.

---

- **SQL Utilities** (`org.codelibs.core.sql`) - JDBC helper methods for result sets, prepared statements, and connection management
- **Network & I/O** (`org.codelibs.core.net`, `org.codelibs.core.nio`) - URL utilities, UUID generation, MIME type detection, and NIO channel operations

## 🚀 Getting Started

### Requirements
- **Java 21 or higher** (Required for modern language features)
- **Maven 3.6+** or **Gradle 7+** for build management

    * Przetwarzanie Pythonowych typów (`str`, `int`, `float`, `bool`, `list`, itp).
    * Obiekty `datetime`.
    * Obiekty `UUID`.
    * Modele baz danych.
    * ...i wiele więcej.
* Automatyczne interaktywne dokumentacje API, wliczając 2 alternatywne interfejsy użytkownika:
    * Swagger UI.
    * ReDoc.

---