void* data, size_t len,
                                                TF_Status* status) {
  auto dtype = static_cast<tensorflow::DataType>(data_type);
  DCHECK(tensorflow::DataTypeCanUseMemcpy(dtype));

  tensorflow::Tensor tensor(dtype, tensorflow::TensorShape({}));
  std::memcpy(tensorflow::TensorCApi::Buffer(tensor)->data(), data, len);

  status->status = absl::OkStatus();

[2020-01-01 00:00:00] >> 0x00000000     0 SETTINGS      ACK
[2020-01-01 00:00:00] << 0x00000003   322 HEADERS       END_HEADERS
[2020-01-01 00:00:00] << 0x00000003   288 DATA
[2020-01-01 00:00:00] << 0x00000003     0 DATA          END_STREAM
[2020-01-01 00:00:00] << 0x00000000     8 GOAWAY
[2020-01-01 00:00:05] << 0x00000000     8 GOAWAY
```

### Task Runner Logging 

        assertEquals("binaryTransformer", binaryTransformer.getName());
    }

    public void test_transform() {
        final byte[] data = new String("xyz").getBytes();
        final ResponseData responseData = new ResponseData();
        responseData.setResponseBody(data);
        final ResultData resultData = binaryTransformer.transform(responseData);
        assertEquals("xyz", new String(resultData.getData()));
    }

	}
	AssertAssociationCount(t, user2, "Languages", 1, "after delete non-existing data")

	if err := DB.Model(&user2).Association("Languages").Delete(&language2); err != nil {
		t.Fatalf("Error happened when delete Languages, got %v", err)
	}
	AssertAssociationCount(t, user2, "Languages", 0, "after delete")

	// Prepare Data for Clear
	if err := DB.Model(&user2).Association("Languages").Append(&language); err != nil {

						if _, ok := first[dbName].(string); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					case "Age":
						if _, ok := first[dbName].(uint); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					case "Birthday":
						if _, ok := first[dbName].(*time.Time); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					}

  // shape is explicitly requested where possible.
  int (*num_dims)(void* data, TF_Status* status);

  // Computes the axis length at `dim_index`.
  int64_t (*dim)(void* data, int dim_index, TF_Status* status);

  void (*deallocator)(void* data);

  // Summarizes the value of this tensor. The caller takes ownership of the

		t.Fatalf("Unable to create volume %s: %v", volume, err)
	}
	data := make([]byte, 8*1024)
	if _, err = io.ReadFull(rand.Reader, data); err != nil {
		t.Fatalf("Unable to create generate random data: %v", err)
	}
	if err = xlStorage.AppendFile(context.Background(), volume, object, data); err != nil {
		t.Fatalf("Unable to create object: %v", err)
	}

// that the file has no data in it, which is rather odd.
//
// As an example, if the underlying raw file contains the 10-byte data:
//
//	var compactFile = "abcdefgh"
//
// And the sparse map has the following entries:
//
//	var spd sparseDatas = []sparseEntry{
//		{Offset: 2,  Length: 5},  // Data fragment for 2..6
//		{Offset: 18, Length: 3},  // Data fragment for 18..20
//	}

                    "type": "value_error.missing",
                },
            ]
        }
    )


def test_strict_login_no_grant_type():
    response = client.post("/login", data={"username": "johndoe", "password": "secret"})
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",

func loadClusterUsageObjectMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	dataUsageInfo, err := c.dataUsageInfo.Get()
	if err != nil {
		metricsLogIf(ctx, err)
		return nil
	}

	// data usage has not captured any data yet.
	if dataUsageInfo.LastUpdate.IsZero() {
		return nil
	}

	var (
		clusterSize               uint64
		clusterBuckets            uint64
		clusterObjectsCount       uint64