@Override
    public void decode(final NdrBuffer buf) throws NdrException {
        decode_header(buf);

        if (ptype != 12 && ptype != 2 && ptype != 3 && ptype != 13) {
            throw new NdrException("Unexpected ptype: " + ptype);
        }

        if (ptype == 2 || ptype == 3) { /* Response or Fault */
            alloc_hint = buf.dec_ndr_long();
            buf.dec_ndr_short(); /* context id */

	}
}

// metricDisplay - contains info on a metric for display purposes.
type metricDisplay struct {
	Name   string   `json:"name"`
	Help   string   `json:"help"`
	Type   string   `json:"type"`
	Labels []string `json:"labels"`
}

func (md metricDisplay) String() string {
	return fmt.Sprintf("Name: %s\nType: %s\nHelp: %s\nLabels: {%s}\n", md.Name, md.Type, md.Help, strings.Join(md.Labels, ","))
}

    TF_Status* status);

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

typedef struct TF_ShapeAndType TF_ShapeAndType;

	}
	setCommonHeaders(w)
	if mType != mimeNone {
		w.Header().Set(xhttp.ContentType, string(mType))
	}
	w.Header().Set(xhttp.ContentLength, strconv.Itoa(len(response)))
	w.WriteHeader(statusCode)
	if response != nil {
		w.Write(response)
	}
}

// mimeType represents various MIME type used API responses.
type mimeType string

const (
	// Means no response type.

            // Verify header encoding including ptype
            verify(mockBuffer, times(3)).enc_ndr_small(0); // minor version, ptype (REQUEST=0), and flags (all are 0)
        }

        @Test
        @DisplayName("encode should handle non-REQUEST ptype correctly")
        void testEncodeNonRequestPtype() throws NdrException {
            message.ptype = DcerpcConstants.RPC_PT_RESPONSE; // 2, not 0

    unique_tensor_ptr;

TF_Tensor* BoolTensor(int32_t v);

// Create a tensor with values of type TF_INT8 provided by `values`.
TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values);

// Create a tensor with values of type TF_INT32 provided by `values`.
TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
                       const int32_t* values);

        buildClassTimeJson: File,
        model: CIBuildModel,
    ): Map<TestCoverage, List<SmallSubprojectBucket>> {
        val sType = object : TypeToken<BuildProjectToSubprojectTestClassTimes>() {}.type
        val buildProjectClassTimes = gson.fromJson<BuildProjectToSubprojectTestClassTimes>(buildClassTimeJson.readText(), sType)

        val result = mutableMapOf<TestCoverage, List<SmallSubprojectBucket>>()
        for (stage in model.stages) {

}

// getSigningKey hmac seed to calculate final signature.
func getSigningKey(secretKey string, t time.Time, region string, stype serviceType) []byte {
	date := sumHMAC([]byte("AWS4"+secretKey), []byte(t.Format(yyyymmdd)))
	regionBytes := sumHMAC(date, []byte(region))
	service := sumHMAC(regionBytes, []byte(stype))
	signingKey := sumHMAC(service, []byte("aws4_request"))
	return signingKey
}

                ENCRYPTION_TYPE, ENCRYPTED_DATA, null);
        when(kerberosKey.getKeyType()).thenReturn(99); // Different key type

        PACDecodingException e = assertThrows(PACDecodingException.class, () -> new KerberosTicket(token, (byte) 0, keys));
        assertEquals("Kerberos key not found for eType " + ENCRYPTION_TYPE, e.getMessage());
    }

    @Test

				MetricV2{
					Description: MetricDescription{
						Namespace: bucketMetricNamespace,
						Subsystem: "batch",
						Name:      MetricName(jtype + "_objects"),
						Help:      "Get successfully completed batch job " + jtype + "objects",
						Type:      counterMetric,
					},
					Value:          objects,
					VariableLabels: map[string]string{"bucket": bucket, "jobId": mj.JobID},
				},
				MetricV2{