AbstractFunctionKind getKind() const { return kind_; }

  // Returns the AbstractFunction as a FunctionDef.
  virtual absl::Status GetFunctionDef(const FunctionDef**) = 0;

  // Returns a shared reference to the wrapped function.
  virtual absl::StatusOr<core::RefCountPtr<FunctionRecord>>
  GetFunctionRecord() = 0;

 private:
  const AbstractFunctionKind kind_;
};

using AbstractFunctionPtr =

	Authorization      = "Authorization"
	Action             = "Action"
	Range              = "Range"
)

// Non standard S3 HTTP response constants
const (
	XCache       = "X-Cache"
	XCacheLookup = "X-Cache-Lookup"
)

// Standard S3 HTTP request constants
const (
	IfModifiedSince   = "If-Modified-Since"
	IfUnmodifiedSince = "If-Unmodified-Since"
	IfMatch           = "If-Match"
	IfNoneMatch       = "If-None-Match"

      TFE_NewContext(opts.get(), status.get()), TFE_DeleteContext);
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

  const char* custom0 = "/job:localhost/replica:0/task:0/device:CUSTOM:0";
  const char* custom1 = "/job:localhost/replica:0/task:0/device:CUSTOM:1";
  bool arrived = false;
  bool executed = false;
  RegisterLoggingDevice(context.get(), custom0,

// blocks until the mutex is available.
func (lm *LRWMutex) Lock() {
	const isWriteLock = true
	lm.lockLoop(context.Background(), lm.id, lm.source, math.MaxInt64, isWriteLock)
}

// GetLock tries to get a write lock on lm before the timeout occurs.
func (lm *LRWMutex) GetLock(ctx context.Context, id string, source string, timeout time.Duration) (locked bool) {
	const isWriteLock = true
	return lm.lockLoop(ctx, id, source, timeout, isWriteLock)
}

package cmd

import (
	"encoding/binary"
	"encoding/hex"
	"encoding/json"
	"fmt"
	"time"

	"github.com/cespare/xxhash/v2"
	jsoniter "github.com/json-iterator/go"
)

// XL constants.
const (
	// XL metadata file carries per object metadata.
	xlStorageFormatFileV1 = "xl.json"
)

// Valid - tells us if the format is sane by validating
// format version and erasure coding information.

#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/platform/status.h"

using tensorflow::string;

namespace {

std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle,
                                         absl::Status* status) {
  std::vector<int64_t> shape;
  int rank = -1;
  *status = handle.NumDims(&rank);
  if (!status->ok()) {
    return shape;

        "com.squareup.okhttp3.urlconnection",
      )

    /** Equinox must also be on the testing classpath.  */
    private const val RESOLVE_OSGI_FRAMEWORK = "org.eclipse.osgi"
    private const val RESOLVE_JAVA_VERSION = "JavaSE-1.8"
    private const val REPO_NAME = "OsgiTest"
  }

	}))

	// local to remote
	remoteConn := local.Connection(remoteHost)
	remoteConn.WaitForConnect(context.Background())
	defer testlogger.T.SetErrorTB(t)()

	t.Run("localToRemote", func(t *testing.T) {
		const testPayload = "Hello Grid World!"

		start := time.Now()
		resp, err := remoteConn.Request(context.Background(), handlerTest, []byte(testPayload))
		errFatal(err)
		if string(resp) != testPayload {

	errFatal := func(err error) {
		b.Helper()
		if err != nil {
			b.Fatal(err)
		}
	}
	grid, err := SetupTestGrid(n)
	errFatal(err)
	b.Cleanup(grid.Cleanup)
	const messages = 10
	// Create n managers.
	const payloadSize = 512
	rng := rand.New(rand.NewSource(time.Now().UnixNano()))
	payload := make([]byte, payloadSize)
	_, err = rng.Read(payload)
	errFatal(err)

package cmd

import (
	"fmt"
	"testing"
)

func Benchmark_bucketMetacache_findCache(b *testing.B) {
	bm := newBucketMetacache("", false)
	const elements = 50000
	const paths = 100
	if elements%paths != 0 {
		b.Fatal("elements must be divisible by the number of paths")
	}
	var pathNames [paths]string
	for i := range pathNames[:] {
		pathNames[i] = fmt.Sprintf("prefix/%d", i)