import com.google.common.collect.ImmutableSet;

import java.util.Set;

/**
 * Extension point for Gradle modules to extend the set of packages and
 * resource prefixes exported by the Gradle API ClassLoader.
 *
 * A SPI suitable for use with Java's {@link java.util.ServiceLoader}.
 */
public interface GradleApiSpecProvider {

    Spec get();

    interface Spec {
        /**

	}
	return false
}

// highPrecisionTime represents a single point in time with query performance counter.
// time.Time on Windows has low system granularity, which is not suitable for
// measuring short time intervals.
//
// TODO: If Windows runtime implements high resolution timing then highPrecisionTime
// can be removed.
type highPrecisionTime struct {
	now int64
}

    protected final OutputEventListenerManager outputEventListenerManager = new OutputEventListenerManager(renderer);

    /**
     * Creates a set of logging services which are suitable to use globally in a process. In particular:
     *
     * <ul>

//	Hostname, and thus it makes sense also to use it as the Node.Name.  But that is GCE specific, and it is up
//	to the cloudprovider how to do this mapping.
//
//	For AWS, the InstanceID is not yet suitable for use as a Node.Name, so we actually use the
//	PrivateDnsName for the Node.Name.  And this is _not_ always the same as the hostname: if
//	we are using a custom DHCP domain it won't be.

// for replication and parallel execution ops, which may slow performance.
// Prefer to use the v2 of this API.
//
// This also converts the Tensorflow Dialect MLIR into the Tensorflow Executor
// dialect that is suitable to be exported to GraphDef. Graph -> MLIR -> Graph
// is not perfectly round trippable, so this API will attempt to make the module
// exportable and verify some properties of the Tensorflow Executor MLIR that

#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {
namespace tf2xla {
namespace v1 {

// Run all the passes involved in transforming the graph before execution so
// that it is suitable for targeting devices when called via the TF1 Session
// API.
// These transformations take as input a Tensorflow Graph as an MLIR Module
// and transforms the module in place to cluster the given ops for compilation

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.net.InetAddress;
import java.text.ParseException;
import javax.annotation.CheckForNull;

/**
 * A syntactically valid host specifier, suitable for use in a URI. This may be either a numeric IP
 * address in IPv4 or IPv6 notation, or a domain name.
 *
 * <p>Because this class is intended to represent host specifiers which can reasonably be used in a

package bzip2

// moveToFrontDecoder implements a move-to-front list. Such a list is an
// efficient way to transform a string with repeating elements into one with
// many small valued numbers, which is suitable for entropy encoding. It works
// by starting with an initial list of symbols and references symbols by their
// index into that list. When a symbol is referenced, it's moved to the front

// license that can be found in the LICENSE file.

//go:build ignore

// Mkzip writes a zoneinfo.zip with the content of the current directory
// and its subdirectories, with no compression, suitable for package time.
//
// Usage:
//
//	go run ../../mkzip.go ../../zoneinfo.zip
//
// We use this program instead of 'zip -0 -r ../../zoneinfo.zip *' to get

  llvm::StringRef getArgument() const final {
    return "tfl-device-transform-nnapi";
  }
  llvm::StringRef getDescription() const final {
    return "Suitable transformation for nnapi only.";
  }
  void getDependentDialects(DialectRegistry& registry) const override {
    registry.insert<TF::TensorFlowDialect>();
  }
  void runOnOperation() override;
};