oi
on
pas
pel
pels
per
però
perquè
poc 
poca
pocs
poques
potser
propi
qual
quals
quan
quant 
que
què
quelcom
qui
quin
quina
quines
quins
s'ha
s'han
sa
semblant
semblants
ses
seu 
seus
seva
seva
seves
si
sobre
sobretot
sóc
solament
sols
son 
són
sons 
sota
sou

  $env:JAVA_HOME = $zulu_root; \
  [Environment]::SetEnvironmentVariable(\"JAVA_HOME\", $env:JAVA_HOME, \"Machine\")

# Point to the LLVM installation.
# The Bazel Windows guide claims it can find LLVM automatically,
# but it likely only works if it's installed somewhere inside C:\Program Files.
ENV BAZEL_LLVM "C:\tools\LLVM"

) {
  fun printGoogleSheet() {
    print("name")
    for (client in clients) {
      print("\t")
      print(client.nameAndVersion)
    }
    println()
    val sortedSuites =
      ianaSuites.suites.sortedBy { ianaSuite ->
        val index = orderBy.indexOfFirst { it.matches(ianaSuite) }
        if (index == -1) Integer.MAX_VALUE else index
      }
    for (suiteId in sortedSuites) {
      print(suiteId.name)

    platform.assumeJdk9()
  }

  @Test
  fun testTlsv13Works() {
    // https://docs.oracle.com/en/java/javase/14/security/java-secure-socket-extension-jsse-reference-guide.html
    // TODO test jdk.tls.client.enableSessionTicketExtension
    // TODO check debugging information

    enableTls()

    server.enqueue(MockResponse(body = "abc"))

    val request = Request(server.url("/"))

port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/ You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client: 1. Download the MinIO mc client - https://docs.minio.io/docs/minio-client-quickstart-guide 2. export MC_HOST_{{ template "minio.fullname" . }}-local=http://$(kubectl get secret --namespace {{ .Release.Namespace }} {{...

port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/ You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client: 1. Download the MinIO mc client - https://docs.minio.io/docs/minio-client-quickstart-guide 2. export MC_HOST_{{ template "minio.fullname" . }}-local=http://$(kubectl get secret --namespace {{ .Release.Namespace }} {{...

port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/ You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client: 1. Download the MinIO mc client - https://docs.minio.io/docs/minio-client-quickstart-guide 2. export MC_HOST_{{ template "minio.fullname" . }}-local=http://$(kubectl get secret --namespace {{ .Release.Namespace }} {{...

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.SampleElements.Chars;
import java.util.List;

/**
 * Generates {@code List<Character>} instances for test suites.
 *
 * @author Kevin Bourrillion
 * @author Louis Wasserman
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public abstract class TestCharacterListGenerator implements TestListGenerator<Character> {

# Select API Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

# > on the host machine. If we don't have --distinct_host_configuration=false,
# > the core TensorFlow code will be built once for the host and once for the
# > target platform.
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation
build --distinct_host_configuration=false

# Store performance profiling log in the mounted artifact directory.