}
        } catch (Exception e) {
            throw new GradleException(String.format("Could not load meta-data from %s.", repoFile), e);
        }
    }

    public void store(File repoFile) {
        try {
            FileOutputStream outputStream = new FileOutputStream(repoFile);
            try {

## Cloud Scale Deployment

And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to reuse them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.

If you have a big application, you might end up accumulating **several tags**, and you would want to make sure you always use the **same tag** for related *path operations*.

In these cases, it could make sense to store the tags in an `Enum`.

**FastAPI** supports that the same way as with plain strings:

{* ../../docs_src/path_operation_configuration/tutorial002b_py39.py hl[1,8:10,13,18] *}

        )

    @BeforeEach
    fun setUp() {
        val stepsCapturer = slot<BuildSteps.() -> Unit>()
        every { buildType.steps } returns steps
        every { buildType.stage } returns buildModel.stages[2]
        every {
            buildType.steps(capture(stepsCapturer))
        } answers {
            stepsCapturer.captured(steps)
            mockk()
        }
    }

    @Test

        return someProperty
    }
}
```

Note that managed classes like these need to be instantiated via ObjectFactory so that runtime decorations are applied. Failure to do this will cause strange usability problems in the Groovy DSL.

### New properties in an existing class

- **Removing a site** is not allowed from a set of replicated sites once configured.
- All sites must be using the **same** external IDP(s) if any.

If you have ktlint errors, you can automatically fix them by running `mvn com.github.gantsign.maven:ktlint-maven-plugin:1.1.1:format`.

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create
and test another isolated pipeline from any branch. 

	"reflect"
	"strings"
	"sync"
	"time"
)

var serializerMap = sync.Map{}

// RegisterSerializer register serializer
func RegisterSerializer(name string, serializer SerializerInterface) {
	serializerMap.Store(strings.ToLower(name), serializer)
}

// GetSerializer get serializer
func GetSerializer(name string) (serializer SerializerInterface, ok bool) {
	v, ok := serializerMap.Load(strings.ToLower(name))
	if ok {

/**
 * Define clean up rules for the project.
 * See https://www.jetbrains.com/help/teamcity/teamcity-data-clean-up.html#Clean-up+Rules
 *
 * @param historyDays days number of days to store build history .
 * @param artifactsDays number of days to store artifacts. In the stored history, artifacts older than this number will be cleaned up.
 * @param artifactPatterns patterns for artifacts clean-up. If not specified, all artifacts will be removed.
 */