if (reporting == null) {
            return;
        }

        Build build = model.getBuild();

        if (build == null) {
            build = new Build();
            model.setBuild(build);
            model.setLocation("build", location);
        }

        Plugin sitePlugin = findSitePlugin(build);

        if (sitePlugin == null) {
            sitePlugin = new Plugin();

    }

    /**
     * @deprecated use {@link #build(ReaderSupplier)}
     */
    @Deprecated
    public PluginDescriptor build(Reader reader) throws PlexusConfigurationException {
        return build(reader, null);
    }

    /**
     * @deprecated use {@link #build(ReaderSupplier, String)}
     */
    @Deprecated
    public PluginDescriptor build(Reader reader, String source) throws PlexusConfigurationException {

        logger.debug("Resolving plugin prefix {} from {}", request.getPrefix(), request.getPluginGroups());

        Model pom = request.getPom();
        Build build = pom != null ? pom.getBuild() : null;
        PluginManagement management = build != null ? build.getPluginManagement() : null;

        // map of groupId -> Set(artifactId) plugin candidates:

    assertThat(base.newBuilder("https://host2")!!.build())
      .isEqualTo(parse("https://host2/"))
    assertThat(base.newBuilder("//host2")!!.build())
      .isEqualTo(parse("http://host2/"))
    assertThat(base.newBuilder("/path")!!.build())
      .isEqualTo(parse("http://host/path"))
    assertThat(base.newBuilder("path")!!.build())
      .isEqualTo(parse("http://host/a/path"))

        val (buildResult, failure) = try {
            runner.build()!! to null
        } catch (ex: UnexpectedBuildFailure) {
            ex.buildResult!! to ex
        }

        println(buildResult.output)

        val richReportFile = inputBuildDir.resolve("binary-compatibility/build/japi/japi.html").apply {
            assertTrue("Rich report file doesn't exist", isFile)
        }

between the runs. All the python-agnostic parts of the build cache from the
previous build will be preserved and reused for the subsequent builds.

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies

  config_info_line('numa', 'Build with NUMA support.')
  config_info_line(
      'dynamic_kernels',
      '(Experimental) Build kernels into separate shared objects.')
  config_info_line('v1', 'Build with TensorFlow 1 API instead of TF 2 API.')

  print('Preconfigured Bazel build configs to DISABLE default on features:')
  config_info_line('nogcp', 'Disable GCP support.')

        ).retryOnConnectionFailure(false)
        .build()
    url = server.url("/")
  }

  @Test
  fun get() {
    assumeNotWindows()
    server.enqueue(
      MockResponse
        .Builder()
        .body("Hello!")
        .setHeader("Content-Type", PLAIN)
        .build(),
    )
    val response = client.newCall(request().build()).execute()
    assertThat(response.body).isNotNull()

    @Nonnull
    static VersionResolverRequest build(@Nonnull Session session, @Nonnull ArtifactCoordinates artifactCoordinates) {
        return builder()
                .session(requireNonNull(session, "session cannot be null"))
                .artifactCoordinates(requireNonNull(artifactCoordinates, "artifactCoordinates cannot be null"))
                .build();
    }

    @Nonnull
    static VersionResolverRequest build(

#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)