# 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

        // JMH plugin
        task.name in listOf("jmh", "jmhJar", "jmhReport") -> true

        // Gradle Doctor plugin
        task.name in listOf(
            "graph", "graphMain",
            "projectGraphReport",
            "ripples",
            "aggregateAdvice",
        ) -> true

        task.name.startsWithAnyOf(
            "advice",
            "analyzeClassUsage",

    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "graph-isolation",
    "path": "platforms/core-configuration/graph-isolation",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "graph-serialization",
    "path": "platforms/core-configuration/graph-serialization",
    "unitTests": false,
    "functionalTests": false,

        }
    }

    @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 "

 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.base.Preconditions.checkState;
import static com.google.common.graph.GraphConstants.INNER_CAPACITY;
import static com.google.common.graph.GraphConstants.INNER_LOAD_FACTOR;

     * @param artifact artifact for which to get the dependencies, including transitive ones
     * @param scope the {link PathScope} to collect dependencies, must not be {@code null}
     * @return root node of the dependency graph for the given artifact
     *
     * @see org.apache.maven.api.services.DependencyResolver#collect(Session, Artifact, PathScope)

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...

            select(
                "generateDiffs",
                "",
                display = ParameterDisplay.PROMPT,
                description = "Skips differential flame graph generation to avoid OOM in large adhoc tests.",
                options =
                    listOf(
                        "Generate diffs" to "",
                        "Skip diffs generation" to "--no-generate-diffs",

The diagram below shows the current set of architecture modules and platforms:

<!-- This diagram is generated. Use `./gradlew :architectureDoc` to update it -->
```mermaid
    graph TD

    subgraph core["core platform"]

        core_runtime["core-runtime module"]
        style core_runtime stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;

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.