* body, server processing, and reading the response body. If the call requires redirects or
   * retries all must complete within one timeout period.
   *
   * Configure the client's default timeout with [OkHttpClient.Builder.callTimeout].
   */
  fun timeout(): Timeout

  /**
   * Create a new, identical call to this one which can be enqueued or executed even if this call
   * has already been.
   */

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;

import org.apache.maven.model.Model;
import org.apache.maven.model.Profile;

/**
 * Collects the output of the model builder.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
class DefaultModelBuildingResult implements ModelBuildingResult {
    private Model fileModel;

            MessageBuilderFactory messageBuilderFactory,
            MojoExecution execution,
            MavenProject project,
            Throwable cause) {
        MessageBuilder buffer = messageBuilderFactory.builder(256);

        buffer.a("Failed to execute goal");

        if (execution != null) {
            buffer.a(' ');
            buffer.mojo(execution.getGroupId()
                    + ':'

 *   <li>In at least one case, a use of {@code sun.misc.FpUtils}, the test will not even
 *       <i>compile</i> against Android. Now, this might be an artifact of our build system, one
 *       that we could probably work around. Or we could manually strip the test from open-source
 *       Guava while continuing to run it internally, as we do with many other tests. This would

# Properties used to build to the RPM package
#

# Environment file
packaging.env.file=/etc/sysconfig/fess

# Default configuration directory and file to use in bin/plugin script

# Simple marker to check that properties are correctly overridden
packaging.type=rpm

# Custom header for package scripts
packaging.scripts.header=

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

   * response code. Otherwise this method never returns null.
   */
  @Throws(IOException::class)
  fun readResponseHeaders(expectContinue: Boolean): Response.Builder?

  @Throws(IOException::class)
  fun reportedContentLength(response: Response): Long

  @Throws(IOException::class)
  fun openResponseBodySource(response: Response): Source

rfork n

if(! test -f make.rc){
	echo 'all.rc must be run from $GOROOT/src' >[1=2]
	exit wrongdir
}

. ./make.rc --no-banner $*
bind -b $GOROOT/bin /bin
./run.rc --no-rebuild

This directory contains JLine native libraries extracted from JLine JAR.

You can add your own build for platforms not natively supported by JLine.
See here [1] on how to compile for your platform and here [2] how libraries
follow JLine's directory and filename conventions.

[1] https://github.com/jline/jline3/tree/master/native

    id("gradlebuild.repositories")
    id("gradlebuild.reproducible-archives")
    id("gradlebuild.private-javadoc")
}

description = "A plugin that sets up a Java code that is shared between build-logic and runtime"

java {
    configureJavaToolChain()
    sourceCompatibility = JavaVersion.VERSION_1_8
    targetCompatibility = JavaVersion.VERSION_1_8
}

testing {
    suites {