tensorflow::FunctionDef fdef;
    ASSERT_TRUE(GetFunctionDef(func_, &fdef));
    TF_DeleteFunction(func_);

    // fdef -> func_
    string buf;
    ASSERT_TRUE(fdef.SerializeToString(&buf));
    func_ = TF_FunctionImportFunctionDef(buf.data(), buf.size(), s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  }

  void GetAttr(const char* attr_name, AttrValue* out_attr) {

64-bit integers. func ctrBlocks(b *Block, dst, src []byte, ivlo, ivhi uint64) { buf := make([]byte, len(src), 8*BlockSize) for i := 0; i < len(buf); i += BlockSize { byteorder.BEPutUint64(buf[i:], ivhi) byteorder.BEPutUint64(buf[i+8:], ivlo) ivlo, ivhi = add128(ivlo, ivhi, 1) encryptBlock(b, buf[i:], buf[i:]) } // XOR into buf first, in case src and dst overlap (see above). subtle.XORBytes(buf, src, buf) copy(dst, buf) } func add128(lo, hi uint64, x uint64) (uint64, uint64) { lo, c := bits.Add64(lo,...

	var ver struct {
		Version int `json:"version"`
	}
	err = json.Unmarshal(buf, &ver)
	if err != nil {
		return err
	}
	if ver.Version != srStateFormatVersion1 {
		return fmt.Errorf("Unexpected ClusterRepl state version: %d", ver.Version)
	}

	var sdata srStateData
	err = json.Unmarshal(buf, &sdata)
	if err != nil {
		return err
	}

	c.Lock()
	defer c.Unlock()

		Usage:  "set global memory limit per server via GOMEMLIMIT",
		Hidden: true,
		EnvVar: "MINIO_MEMLIMIT",
	},
	cli.IntFlag{
		Name:   "send-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_SEND_BUF_SIZE",
		Hidden: true,
	},
	cli.IntFlag{
		Name:   "recv-buf-size",
		Value:  4 * humanize.MiByte,
		EnvVar: "MINIO_RECV_BUF_SIZE",
		Hidden: true,
	},
	cli.StringFlag{
		Name:   "log-dir",

              sink.writeByte('x'.code)
            }
          } else {
            val buf = ByteArray(if (writeKind == WriteKind.SMALL_BUFFERS) 256 else 64 * 1024)
            Arrays.fill(buf, 'x'.code.toByte())
            var i = 0
            while (i < n) {
              sink.write(buf, 0, Math.min(buf.size, n - i))
              i += buf.size
            }
          }
        }
      }
    val response =

  EXPECT_EQ(TF_DATA_LOSS, static_cast<TF_Code>(tensorflow::error::DATA_LOSS));
}

TEST(CAPI, GetAllOpList) {
  TF_Buffer* buf = TF_GetAllOpList();
  tensorflow::OpList op_list;
  EXPECT_TRUE(op_list.ParseFromArray(buf->data, buf->length));
  EXPECT_GT(op_list.op_size(), 0);
  TF_DeleteBuffer(buf);
}

TEST(CAPI, SetShape) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

	binary.LittleEndian.PutUint16(data[2:4], poolMetaVersion)

	buf, err := p.MarshalMsg(data)
	if err != nil {
		return err
	}

	// Saves on all pools to make sure decommissioning of first pool is allowed.
	for i, eset := range pools {
		if err = saveConfig(ctx, eset, poolMetaName, buf); err != nil {
			if !errors.Is(err, context.Canceled) {

	}

	var buf bytes.Buffer
	r, err := obj.GetObjectNInfo(context.Background(), bucketName, testObject, nil, nil, ObjectOptions{})
	if err != nil {
		t.Fatalf("Test %s: reading completed file failed: <ERROR> %v", instanceType, err)
	}
	if _, err = io.Copy(&buf, r); err != nil {
		r.Close()

	binary.LittleEndian.PutUint16(data[2:4], resyncMetaVersion)

	buf, err := brs.MarshalMsg(data)
	if err != nil {
		return err
	}

	configFile := path.Join(bucketMetaPrefix, bucket, replicationDir, resyncFileName)
	return saveConfig(ctx, objectAPI, configFile, buf)
}

// getReplicationDiff returns un-replicated objects in a channel.

Field offsets are of the form <code><i>type</i>_<i>field</i></code>.
Struct sizes are of the form <code><i>type</i>__size</code>.
For example, consider the following Go definition:
</p>

<pre>
type reader struct {
	buf [bufSize]byte
	r   int
}
</pre>

<p>
Assembly can refer to the size of this struct
as <code>reader__size</code> and the offsets of the two fields
as <code>reader_buf</code> and <code>reader_r</code>.