<abbr title="A utility/system to store computed/generated values, to re-use 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.

In an advanced scenario where you know you need the dependency to be called at every step (possibly multiple times) in the same request instead of using the "cached" value, you can set the parameter `use_cache=False`...

    assertThat(hpackReader!!.headerCount).isEqualTo(1)
  }

  /** Header table backing array is initially 8 long, let's ensure it grows.  */
  @Test
  fun dynamicallyGrowsBeyond64Entries() {
    // Lots of headers need more room!
    hpackReader = Hpack.Reader(bytesIn, 16384, 4096)
    bytesIn.writeByte(0x3F) // Dynamic table size update (size = 16384).
    bytesIn.writeByte(0xE1)
    bytesIn.writeByte(0x7F)
    for (i in 0..255) {

Any changes to this folder should have a `make copy-templates` applied afterwards.

Warning: unlike the `IstioOperator` profiles, these profiles cannot enable or disable certain components.
As a result, users still need to ensure they install the appropriate charts to use a profile correctly.

    delegate!!.useClientMode = mode
  }

  override fun getUseClientMode(): Boolean {
    return delegate!!.useClientMode
  }

  override fun setNeedClientAuth(need: Boolean) {
    delegate!!.needClientAuth = need
  }

  override fun setWantClientAuth(want: Boolean) {
    delegate!!.wantClientAuth = want
  }

  override fun getNeedClientAuth(): Boolean {
    return delegate!!.needClientAuth

# Dependencies in path operation decorators

In some cases you don't really need the return value of a dependency inside your *path operation function*.

Or the dependency doesn't return a value.

But you still need it to be executed/solved.

For those cases, instead of declaring a *path operation function* parameter with `Depends`, you can add a `list` of `dependencies` to the *path operation decorator*.

be built using the **Dependency Injection** system. But in fact, there is actually **no need to create "plug-ins"**, as by using dependencies it's possible to declare an infinite number of integrations and interactions that become available to your *path operation functions*.

And dependencies can be created in a very simple and intuitive way that allows you to just import the Python packages you need, and integrate them with your API functions in a couple of lines of code, *literally*....

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You

     * build a trusted path to a trusted root certificate.
     *
     * The chain should include all intermediate certificates but does not need the root certificate
     * that we expect to be known by the remote peer. The peer already has that certificate so
     * transmitting it is unnecessary.
     */
    fun heldCertificate(

        runITsTasks[stageId] = {
            node('s390x') {
                stage("${stageLabel}") {
                    echo "NODE_NAME = ${env.NODE_NAME}"
                    // on Windows, need a short path or we hit 256 character limit for paths
                    // using EXECUTOR_NUMBER guarantees that concurrent builds on same agent
                    // will not trample each other plus workaround for JENKINS-52657

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You