tasks.withType<Sign>().configureEach { isEnabled = signArtifacts }

signing {
    useInMemoryPgpKeys(
        project.providers.environmentVariable("PGP_SIGNING_KEY").orNull,
        project.providers.environmentVariable("PGP_SIGNING_KEY_PASSPHRASE").orNull
    )
    publishing.publications.configureEach {
        if (signArtifacts) {
            signing.sign(this)
        }
    }
}

fun configureJavadocVariant() {

	MOVQ R15, AX // ERROR "when dynamic linking, R15 is clobbered by a global variable access and is used here"
	RET
TEXT ·a8(SB), 0, $0-0
	CMPL runtime·writeBarrier(SB), $0
	ADDQ AX, R15 // ERROR "when dynamic linking, R15 is clobbered by a global variable access and is used here"
	RET
TEXT ·a9(SB), 0, $0-0
	CMPL runtime·writeBarrier(SB), $0

    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi

 * the same injector is immediately matched to this explicit binding, which means extensions
 * cannot override this binding. This is because the lookup is always short-circuited in this
 * specific situation (plain @Inject request, and plain explicit binding for the same type.)
 *
 * The simplest solution is to use a custom @Named here so it isn't bound under the plain key.

        project.findProperty("currentReleasedVersionBuildTimestamp").toString()
    )
}

val updateAgpVersions = tasks.register<UpdateAgpVersions>("updateAgpVersions") {
    comment = " Generated - Update by running `./gradlew updateAgpVersions`"
    currentGradleVersion = gradleModule.identity.version
    propertiesFile = layout.projectDirectory.file("gradle/dependency-management/agp-versions.properties")

		fi

		# Failure
		fail
	done

	if ! ps -p $pid1 1>&2 >/dev/null; then
		echo "minio-server-1 is not running." && fail
	fi

	if ! ps -p $pid2 1>&2 >/dev/null; then
		echo "minio-server-2 is not running." && fail
	fi

	if ! ps -p $pid3 1>&2 >/dev/null; then
		echo "minio-server-3 is not running." && fail
	fi

	if ! pkill minio; then
		fail
	fi

	sleep 1
	if pgrep minio; then

Let's check back those deployment concepts from before:

* Security - HTTPS
* Running on startup
* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

      matrix:
        pyver: ['3.9', '3.10', '3.11', '3.12']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi

    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi