# Build state model

The Gradle daemon tracks state for various elements. These are arranged in a hierarchy:

```mermaid
  graph TD

  process["build process"]
  
  session["build session"]
  process --> session
  
  build_tree["build tree"]
  session --> build_tree
  
  build1["root build"]
  build_tree --> build1
  
  project1["root project"]
  build1 --> project1
  
  project2["project"]
  build1 --> project2

import org.apache.maven.plugin.descriptor.PluginDescriptor;
import org.apache.maven.project.MavenProject;
import org.eclipse.aether.RepositorySystemSession;
import org.eclipse.aether.graph.DependencyFilter;
import org.eclipse.aether.repository.RemoteRepository;

/**
 * Provides basic services to manage Maven plugins and their mojos. This component is kept general in its design such

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**

        comparator = new SmartProjectComparator(dependencyGraph);
    }

    @Test
    void testProjectWeightCalculation() {
        // Test that projects with longer downstream chains get higher weights
        // Graph: A -> B,C; B -> X,Y; C -> X,Z
        MavenProject projectA = ProjectDependencyGraphStub.A;
        MavenProject projectB = ProjectDependencyGraphStub.B;
        MavenProject projectC = ProjectDependencyGraphStub.C;

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...

        - com.google.common.base
        - com.google.common.cache
        - com.google.common.collect
        - com.google.common.escape
        - com.google.common.eventbus
        - com.google.common.graph
        - com.google.common.hash
        - com.google.common.io
        - com.google.common.math
        - com.google.common.net
        - com.google.common.primitives
        - com.google.common.reflect

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.truth.Truth.assertThat;

import com.google.common.collect.Ordering;
import java.util.Arrays;
import java.util.Collection;
import java.util.Comparator;
import java.util.HashMap;

    have resulted in an error. When this happens, a noop is returned and the
    input tensors are marked non-feedable. In other words, if they are used as
    keys in `feed_dict` argument to `session.run()`, an error will be raised.
    Also, because some assert ops don't make it into the graph, the graph
    structure changes. A different graph can result in different per-op random

        }
    }

    @Override
    public void omitForCycle(Artifact omitted) {
        logger.debug(indent + omitted + " (removed - causes a cycle in the graph)");
    }

    @Override
    public void updateScopeCurrentPom(Artifact artifact, String ignoredScope) {
        logger.debug(indent + artifact + " (not setting artifactScope to: " + ignoredScope + "; local artifactScope "

Guava is a set of core Java libraries from Google that includes new collection
types (such as multimap and multiset), immutable collections, a graph library,
and utilities for concurrency, I/O, hashing, primitives, strings, and more! It
is widely used on most Java projects within Google, and widely used by many
other companies as well.