Do not suppress NullAway errors without a justification.
Prefer rearranging the code to avoid the error, unless there is a provable performance penalty or a significant loss of code readability.
Use `Objects.requireNonNull` statement or `Preconditions` rather than `assert` or `@SuppressWarning` annotation to suppress if possible.

For gradual adoption, enable checks project-by-project.

        )
    }

    private
    fun findLatest(name: String, notation: String, dest: Properties) {
        val libDependencies = arrayOf(project.dependencies.create(notation))
        @Suppress("SpreadOperator")
        val templateVersionConfiguration = project.configurations.detachedConfiguration(*libDependencies)
        templateVersionConfiguration.resolutionStrategy.componentSelection.all {

                        it.incoming.artifacts
                    }
                }
            }
        }

        @Suppress("UnstableApiUsage")
        fun addErrorProneDependency(dep: String) {
            project.dependencies.addProvider(
                annotationProcessorConfigurationName,

    })
}

fun configureSourcesVariant() {
    java {
        withSourcesJar()
    }

    // TODO: This should not be necessary anymore now that we have variant reselection.
    @Suppress("UnusedPrivateProperty")
    val transitiveSourcesElements by configurations.creating {
        isCanBeResolved = false
        isCanBeConsumed = true
        extendsFrom(configurations.implementation.get())

common:android --noenable_platform_specific_config
common:ios --noenable_platform_specific_config

# Suppress all C++ compiler warnings, otherwise build logs become 10s of MBs.
common:android --copt=-w
common:ios --copt=-w
common:linux --host_copt=-w
common:macos --copt=-w
common:windows --copt=/W0
common:windows --host_copt=/W0

# Suppress most C++ compiler warnings to reduce log size but allow
# for specific warnings to still be present.

    *   `LinearOperator.matmul` now returns a new `LinearOperator`.
*   New ops and improved op functionality
    *   Add a Nearest Neighbor Resize op.
    *   Add an `ignore_unknown` argument to `parse_values` which suppresses
        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.
    *   `tf.einsum()`raises `ValueError` for unsupported equations like
        `"ii->"`.