Follow below steps to enable and use AlertManager.

## Deploy and start AlertManager

name: Java CI with Maven

on:
  push:
    branches:
    - master
    - "*.x"
  pull_request:
    branches:
    - master
    - "*.x"

jobs:
  build:

    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2
    - name: Set up JDK 21
      uses: actions/setup-java@v2
      with:
        java-version: '21'
        distribution: 'temurin'
    - name: Build with Maven

nvidia-cuda-nvcc-cu12>=12.5.82,<13.0
nvidia-cuda-nvrtc-cu12>=12.5.82,<13.0
nvidia-cuda-runtime-cu12>=12.5.82,<13.0
# The upper bound is set for the CUDNN API compatibility.
# See
# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/developer/forward-compatibility.html#cudnn-api-compatibility
nvidia-cudnn-cu12>=9.3.0.75,<10.0
nvidia-cufft-cu12>=11.2.3.61,<12.0
nvidia-curand-cu12>=10.3.6.82,<11.0
nvidia-cusolver-cu12>=11.6.3.83,<12.0

import static org.junit.jupiter.api.Assertions.assertThrows;
import static org.junit.jupiter.api.Assertions.assertTrue;

import org.junit.jupiter.api.Test;

/**
 * Tests for the {@link PacCredentialType} class.
 */
class PacCredentialTypeTest {

    /**
     * Tests the constructor with a valid byte array.
     */
    @Test
    void testConstructorWithValidData() {

        required: false
        default: "false"

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  job:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

name: Smokeshow

on:
  workflow_run:
    workflows: [Test]
    types: [completed]

permissions:
  statuses: write

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  smokeshow:
    runs-on: ubuntu-latest

    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - uses: actions/setup-python@v6

    * В запросах и ответах будет представлен в виде общего количества секунд типа `float`.
    * Pydantic также позволяет представить его как "Кодировку разницы во времени ISO 8601", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers" class="external-link" target="_blank">см. документацию для получения дополнительной информации</a>.
* `frozenset`:
    * В запросах и ответах обрабатывается так же, как и `set`:

package schema_test

import (
	"database/sql"
	"time"

	"gorm.io/gorm"
	"gorm.io/gorm/utils/tests"
)

type User struct {
	*gorm.Model
	Name      *string
	Age       *uint
	Birthday  *time.Time
	Account   *tests.Account
	Pets      []*tests.Pet
	Toys      []*tests.Toy `gorm:"polymorphic:Owner"`
	CompanyID *int
	Company   *tests.Company
	ManagerID *uint
	Manager   *User

    types:
      - completed

permissions:
  deployments: write
  issues: write
  pull-requests: write
  statuses: write

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  deploy-docs:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - name: Set up Python

	obj2 := ObjectOpts{
		Name: "obj2",
	}

	tests := []struct {
		obj         ObjectOpts
		expRuleID   int
		transRuleID int
	}{
		{
			obj:         obj1,
			expRuleID:   0,
			transRuleID: 1,
		},
		{
			obj:         obj2,
			expRuleID:   0,
			transRuleID: 2,
		},
	}
	for i, tc := range tests {
		w := httptest.NewRecorder()
		lc.SetPredictionHeaders(w, tc.obj)