import org.gradle.api.internal.artifacts.ivyservice.projectmodule.LocalComponentCache
import org.gradle.api.internal.configuration.DefaultBuildFeatures
import org.gradle.api.logging.LogLevel
import org.gradle.internal.cc.impl.fingerprint.ConfigurationCacheFingerprintController
import org.gradle.internal.cc.impl.initialization.ConfigurationCacheInjectedClasspathInstrumentationStrategy
import org.gradle.internal.cc.impl.initialization.ConfigurationCacheStartParameter

import org.gradle.internal.execution.history.OverlappingOutputs;
import org.gradle.internal.execution.history.changes.InputChangesInternal;
import org.gradle.internal.execution.model.InputNormalizer;
import org.gradle.internal.fingerprint.CurrentFileCollectionFingerprint;
import org.gradle.internal.hash.Hashing;
import org.gradle.internal.operations.BuildOperationContext;
import org.gradle.internal.operations.BuildOperationDescriptor;

            encodeValueSource(value)
        } else {
            // source has been used as build logic input:
            // serialize the value directly as it will be part of the
            // cached state fingerprint.
            // Currently not necessary due to the unpacking that happens
            // to the TypeSanitizingProvider put around the ValueSourceProvider.
            throw IllegalStateException("build logic input")

*   `tf.SavedModel`

    *   Introduced class method `tf.saved_model.experimental.Fingerprint.from_proto(proto)`, which can be used to construct a `Fingerprint` object directly from a protobuf.
    *   Introduced member method `tf.saved_model.experimental.Fingerprint.singleprint()`, which provides a convenient way to uniquely identify a SavedModel.

### Bug Fixes and Other Changes

#include "tensorflow/lite/tools/versioning/op_version.h"
#include "tensorflow/lite/tools/versioning/runtime_version.h"
#include "tensorflow/lite/version.h"
#include "tsl/platform/fingerprint.h"
#include "tsl/platform/status.h"
#include "tsl/platform/tstring.h"

using absl::StatusOr;
using llvm::dyn_cast;
using llvm::formatv;
using llvm::isa;
using llvm::StringRef;
using mlir::Dialect;

    /**
     * Prepares to load or create a model. Does nothing if the cached model is available or else prepares to capture
     * configuration fingerprints and validation problems and then runs the given function.
     */
    fun maybePrepareModel(action: () -> Unit)

    /**

Class <org.gradle.security.internal.Fingerprint> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Fingerprint.java:0)