Istio Automation <******@****.***> 1718206348 -0400

          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "editorMode": "code",
          "expr": "sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\",response_code!~\"5.*\"}[5m])) / (sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\"}[5m])) or on () vector(1))",
          "format": "time_series",
          "intervalFactor": 1,

-ingressgateway","refId":"A"},{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"(sum(irate(container_cpu_usage_seconds_total{namespace!=\"istio-system\",container=\"istio-proxy\"}[1m]))/ (round(sum(irate(istio_requests_total[1m])), 0.001)/1000))/ (sum(irate(istio_requests_total{source_workload=\"istio-ingressgateway\"}[1m])) >bool 10)","format":"time_series","intervalFactor":1,"legendFormat":"istio-proxy","refId":"B"}],"title":"vCPU / 1k rps","type":"timeseries"},{"datasource":{"...

        "name": "workload",
        "options": [],

			}
			// no mismatch
			for _, s := range slc {
				sum := info.StatsSummary[s.DeploymentID]
				if !olockCfgMismatch && olockCfgCount == numSites {
					sum.ReplicatedLockConfig++
				}
				if !versionCfgMismatch && versionCfgCount == numSites {
					sum.ReplicatedVersioningConfig++
				}
				if !sseCfgMismatch && sseCfgCount == numSites {
					sum.ReplicatedSSEConfig++
				}

			t.Errorf("test %d could not unmarshal: %v", i, err)
			continue
		}

		sum, err := safeSum(h)
		if err != nil {
			t.Errorf("test %d could not sum: %v", i, err)
			continue
		}

		if fmt.Sprintf("%x", sum) != test.sum {
			t.Errorf("test %d sum mismatch: expect %s got %x", i, test.sum, sum)
		}
	}
}

func TestAllocations(t *testing.T) {
	if boring.Enabled {

        }
        sum -= segment.modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  long longSize() {
    Segment<K, V>[] segments = this.segments;
    long sum = 0;
    for (Segment<K, V> segment : segments) {
      sum += Math.max(0, segment.count); // see https://github.com/google/guava/issues/2108
    }
    return sum;
  }

  @Override

				"([0] + self.emptyInts).min() == 0",

				// handle CEL's dynamic dispatch appropriately (special cases to handle an empty list)
				"dyn([]).sum() == 0",
				"dyn([1, 2]).sum() == 3",
				"dyn([1.0, 2.0]).sum() == 3.0",

				"[].sum() == 0", // An empty list returns an 0 int
			},
			errors: map[string]string{
				// return an error for min/max on empty list

  %0 = "tf.XlaReduce"(%arg0, %arg1) {dimensions_to_reduce = [], reducer = @sum1, device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<*xbf16>, tensor<*xbf16>) -> tensor<*xbf16>
  func.return %0 : tensor<*xbf16>
}

      // (Note: -ffast-math is a superset of -funsafe-math-optimizations.)
      if (std::abs(sum) >= std::abs(addend)) {
        compensation += (sum - new_sum) + addend;
      } else {
        compensation += (addend - new_sum) + sum;
      }
      sum = new_sum;
    }
    result_values.push_back(sum + compensation);
    weights_row_it += input_size;
    bias_values_it++;
  }