the stream only or the entire connection. With this fix OkHttp will now send HTTP/2 pings after
    a stream timeout to determine whether the connection should remain eligible for pooling.

 *  Fix: Don't call `EventListener.responseHeadersStart()` or `responseBodyStart()` until bytes have
    been received. Previously these events were incorrectly sent too early, when OkHttp was ready to

[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513
[19514] [INFO] Booting worker with pid: 19514
[19515] [INFO] Booting worker with pid: 19515
[19511] [INFO] Started server process [19511]
[19511] [INFO] Waiting for application startup.

 * b0
 * --
 *
 * The inclusive start of the range. We get the first 14 bits of this code point from the section
 * and the last 7 bits from this byte.
 *
 * The end of the range is not encoded, but can be inferred by looking at the start of the range
 * that follows.
 *
 * b1
 * --
 *
 * This is either a mapping decision or the length of the mapped output, according to this table:
 *
 * ```

    {!> ../../../docs_src/response_model/tutorial003_01.py!}
    ```

With this, we get tooling support, from editors and mypy as this code is correct in terms of types, but we also get the data filtering from FastAPI.

How does this work? Let's check that out. 🤓

### Type Annotations and Tooling

First let's see how editors, mypy and other tools would see this.

        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")
            includeModule("org.gradle.buildtool.internal", "gradle-ide-starter")
        }
    }
    google {

      - 'platforms/core-configuration/kotlin-dsl-plugins/'
      - 'platforms/core-configuration/kotlin-dsl-provider-plugins/'
      - 'platforms/core-configuration/kotlin-dsl-tooling-builders/'
      - 'platforms/core-configuration/kotlin-dsl-tooling-models/'
      - 'build-logic/kotlin-dsl/'
      - 'platforms/documentation/docs/src/snippets/kotlinDsl/'
  - release_coordination:
    name: 'release_coordination'
    subprojects:

# TODO: It would be very nice to avoid having this list somehow, but it needs to be defined in YAML and not in JS for the looping template to work
# Keys like `- build_infrastructure:` do not mean anything, they just need to be unique
# The `name:` field specifies the platform label, e.g. `name: build_infrastructure` => `platform:build_infrastructure` label

        val localRepository = bucket("${prefix}TestLocalRepository", "Declare a local repository required as input data for the tests (e.g. :tooling-api)")
        val normalizedDistribution = bucket("${prefix}TestNormalizedDistribution", "Declare a normalized distribution (bin distribution without timestamp in version) to be used in tests")

  return b == addressOffset + 4
}

/** Encodes an IPv6 address in canonical form according to RFC 5952. */
internal fun inet6AddressToAscii(address: ByteArray): String {
  // Go through the address looking for the longest run of 0s. Each group is 2-bytes.
  // A run must be longer than one group (section 4.2.2).
  // If there are multiple equal runs, the first one must be used (section 4.2.3).
  var longestRunOffset = -1

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`.