// 0-indexed names, or to orchestrate progressive movement of replicas from
	// one StatefulSet to another.
	// If set, replica indices will be in the range:
	//   [.spec.ordinals.start, .spec.ordinals.start + .spec.replicas).
	// If unset, defaults to 0. Replica indices will be in the range:
	//   [0, .spec.replicas).
	// +optional
	Start int32 `json:"start" protobuf:"varint,1,opt,name=start"`
}

	// preserve the old condition values
	for i, oldIndex := range oldIndices {
		newCSR.Status.Conditions[newIndices[i]] = oldCSR.Status.Conditions[oldIndex]
	}
	return true
}

// findConditionIndices returns the indices of instances of the specified condition type
func findConditionIndices(csr *certificates.CertificateSigningRequest, conditionType certificates.RequestConditionType) []int {
	var retval []int

  %rhs_dilation = "tf.Const"() {value = dense<1> : tensor<3xi32>} : () -> tensor<3xi32>
  %feature_group_count = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>

  // tf.XlaConvV2's 2, 3, 4, 5, 6 indices should be compile-time constants.
  %0 = "tf.XlaConvV2"(%arg0, %arg1, %strides, %padding, %lhs_dilation, %rhs_dilation, %feature_group_count) {
      batch_group_count = 1 : i64,

                    // Iterate in order
                    return new PrecedenceResult(remaining.values());
                } else {
                    // sorted now contains any requested attribute indices in the order they appear in
                    // the consumer and producer's attribute precedences
                    return new PrecedenceResult(sorted, remaining.values());
                }
            }
        }

	return s.indexToCIDRBlock(candidate), nil
}

func (s *CidrSet) getBeginningAndEndIndices(cidr *net.IPNet) (begin, end int, err error) {
	if cidr == nil {
		return -1, -1, fmt.Errorf("error getting indices for cluster cidr %v, cidr is nil", s.clusterCIDR)
	}
	begin, end = 0, s.maxCIDRs-1
	cidrMask := cidr.Mask
	maskSize, _ := cidrMask.Size()
	var ipSize int

// The entry, "FusedBatchNorm": [1, 2, 3, 4], indicates that only the gradient
// corresponding to index 0 is used, and the gradient values at indices 1-4 are
// ignored (and hence can be None). The backprop algorithm can then leverage
// this by not constructing zeros to pass for those indices.
std::unordered_map<string, std::unordered_set<int>>*
FunctionsAcceptingNoneForIndicesMap() {
  static auto* const m =

}

func (StatefulSetOrdinals) SwaggerDoc() map[string]string {
	return map_StatefulSetOrdinals
}

			entries = append(entries, fileAndPair{int32(k), v})
		}
		sort.Sort(entries)
		total := uint64(0)            // sum over files of maxline(file) - minline(file)
		maxfile := int32(0)           // max(file indices)
		minline := uint32(0xffffffff) // min over files of minline(file)
		maxline := uint32(0)          // max over files of maxline(file)
		for _, v := range entries {
			if f.pass.stats > 1 {

        }

        /**
         * This uses an optimized version of {@link String#regionMatches(int, String, int, int)}
         * which does not check for negative indices or integer overflow.
         */
        boolean isChildOfOrThis(String filePath, int offset) {
            if (prefix.isEmpty()) {
                return true;
            }

        .build()
    server.useHttps(handshakeCertificates.sslSocketFactory())
    server.protocols = client.protocols
  }

  private fun assertConnectionReused(vararg requests: Request?) {
    for (i in requests.indices) {
      val response = client.newCall(requests[i]!!).execute()
      response.body.string() // Discard the response body.
      assertThat(server.takeRequest().sequenceNumber).isEqualTo(i)
    }
  }