project.getGroupId(), project.getArtifactId(), project.getVersion(), null, project.getPackaging());
            project.setArtifact(projectArtifact);

            // only set those on 2nd phase, ignore on 1st pass
            if (project.getFile() != null) {
                Build build = project.getBuild().getDelegate();
                project.addScriptSourceRoot(build.getScriptSourceDirectory());

build:rbe_linux_cpu --repo_env=TF_PYTHON_CONFIG_REPO="@sigbuild-r2.17-clang_config_python"
build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# TODO(kanglan): Remove it after toolchain update is complete.
build:rbe_linux_cpu_old --config=rbe_linux

                                key,
                                "should not point at files within the project directory, " + sysPath
                                        + " will be unresolvable by dependent projects",
                                dependency);
                    }
                }
            }

 * similar to those in this class for non-precondition checks.
 *
 * <h3>{@code java.util.Objects.requireNonNull()}</h3>
 *
 * <p>Projects which use {@code com.google.common} should generally avoid the use of {@link
 * java.util.Objects#requireNonNull(Object)}. Instead, use whichever of {@link

 * similar to those in this class for non-precondition checks.
 *
 * <h3>{@code java.util.Objects.requireNonNull()}</h3>
 *
 * <p>Projects which use {@code com.google.common} should generally avoid the use of {@link
 * java.util.Objects#requireNonNull(Object)}. Instead, use whichever of {@link

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [

                        "projecta",
                        "projectb"
                    ]
                }
            }
        }
    ]
}`

	policyProjectsMap = map[string]string{
		// grants access to bucket `projecta` if user is in group `projecta`
		"projecta": policyProjectA,

		// grants access to bucket `projectb` if user is in group `projectb`

            setModel(project.getModel().clone());
        }

        if (project.getOriginalModel() != null) {
            setOriginalModel(project.getOriginalModel());
        }

        setExecutionRoot(project.isExecutionRoot());

        if (project.getArtifact() != null) {
            setArtifact(ArtifactUtils.copyArtifact(project.getArtifact()));
        }

        if (project.getManagedVersionMap() != null) {

        assertEquals("https://project.url/child", pom.getValue("url"));
        assertEquals("https://viewvc.project.url/child", pom.getValue("scm/url"));
        assertEquals("https://scm.project.url/child", pom.getValue("scm/connection"));
        assertEquals("https://scm.project.url/child", pom.getValue("scm/developerConnection"));
        assertEquals("https://site.project.url/child", pom.getValue("distributionManagement/site/url"));

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