repositories {
    maven {
        name = "Gradle public repository"
        url = uri("https://repo.gradle.org/gradle/public")
        content {
            includeGroup("net.rubygrapefruit")
            includeModule("flot", "flot")
            includeModule("org.gradle", "gradle-tooling-api")
            includeModule("org.gradle.buildtool.internal", "configuration-cache-report")

![SDS decision flow](docs/sds-flow.svg)

### Default CA Flow through istio-agent

![CA Flow](docs/ca.svg)

A single SDS request from Envoy goes through a few different layers in istio-agent.

### Flit

**FastAPI** utilise <a href="https://flit.readthedocs.io/en/latest/index.html" class="external-link" target="_blank">Flit</a> pour build, packager et publier le projet.

Après avoir activé l'environnement comme décrit ci-dessus, installez `flit` :

<div class="termy">

        "short" to "Short",
        "java.lang.Integer" to "Int",
        "int" to "Int",
        "java.lang.Long" to "Long",
        "long" to "Long",
        "java.lang.Float" to "Float",
        "float" to "Float",
        "java.lang.Double" to "Double",
        "double" to "Double"

#### Conclusion

Overall, the high level config ingestion flow:

```mermaid
graph TD
    sd(Service Discovery)
    cs(ConfigStore)
    ep(Endpoints)
    pc(PushContext)
    sd-->pc
    cs-->pc
    sd-->ep
```

### Config Translation

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

pkg math/big, method (*Float) Mode() RoundingMode
pkg math/big, method (*Float) Mul(*Float, *Float) *Float
pkg math/big, method (*Float) Neg(*Float) *Float
pkg math/big, method (*Float) Parse(string, int) (*Float, int, error)
pkg math/big, method (*Float) Prec() uint
pkg math/big, method (*Float) Quo(*Float, *Float) *Float
pkg math/big, method (*Float) Rat(*Rat) (*Rat, Accuracy)
pkg math/big, method (*Float) Set(*Float) *Float

 * limitations under the License.
 */
package okhttp3.internal.http2

import okhttp3.ConnectionListener
import okhttp3.internal.http2.flowcontrol.WindowCounter

/**
 * ConnectionListener that outputs CSV for flow control of client receiving streams.
 */
class Http2FlowControlConnectionListener : ConnectionListener(), FlowControlListener {
  val start = System.currentTimeMillis()

  override fun receivingStreamWindowChanged(

    override val LONG: KtType by cachedBuiltin(builtinTypes.longType)
    override val SHORT: KtType by cachedBuiltin(builtinTypes.shortType)
    override val BYTE: KtType by cachedBuiltin(builtinTypes.byteType)

    override val FLOAT: KtType by cachedBuiltin(builtinTypes.floatType)
    override val DOUBLE: KtType by cachedBuiltin(builtinTypes.doubleType)

    override val CHAR: KtType by cachedBuiltin(builtinTypes.charType)

So, to balance that out, imagine the following short story:

> You have to clean a big, dirty house.

*Yep, that's the whole story*.

---

There's no waiting 🕙 anywhere, just a lot of work to be done, on multiple places of the house.