Klaus Post <******@****.***> 1759093161 +0200

   * <p><b>Note:</b> if elements are non-null and won't be added or removed after this point, use
   * {@link ImmutableSet#of()} or {@link ImmutableSet#copyOf(Object[])} instead. If {@code E} is an
   * {@link Enum} type, use {@link EnumSet#of(Enum, Enum[])} instead. Otherwise, strongly consider
   * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get
   * deterministic iteration behavior.
   *

   * <p><b>Note:</b> if elements are non-null and won't be added or removed after this point, use
   * {@link ImmutableSet#of()} or {@link ImmutableSet#copyOf(Object[])} instead. If {@code E} is an
   * {@link Enum} type, use {@link EnumSet#of(Enum, Enum[])} instead. Otherwise, strongly consider
   * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get
   * deterministic iteration behavior.
   *

   *       example both {@code Enum<?>} and {@code Enum<? extends Enum<?>>} canonicalize to {@code
   *       Enum<? extends Enum<E>}.
   *   <li>{@code canonicalize(t)} produces a "literal" supertype of t. For example: {@code Enum<?
   *       extends Enum<?>>} canonicalizes to {@code Enum<?>}, which is a supertype (if we disregard
   *       the upper bound is implicitly an Enum too).

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_node_replication_average_active_workers{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_received_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }

        }
        sum -= segments[i].modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  @Override
  public int size() {
    Segment<K, V, E, S>[] segments = this.segments;
    long sum = 0;
    for (int i = 0; i < segments.length; ++i) {
      sum += segments[i].count;
    }
    return Ints.saturatedCast(sum);
  }

  @Override

          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "topk(1, sum(minio_cluster_capacity_usable_total_bytes{job=~\"$scrape_jobs\"}) by (instance)) - topk(1, sum(minio_cluster_capacity_usable_free_bytes{job=~\"$scrape_jobs\"}) by (instance))",
          "format": "time_series",
          "instant": false,
          "interval": "1m",

        }
        sum -= segments[i].modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  @Override
  public int size() {
    Segment<K, V, E, S>[] segments = this.segments;
    long sum = 0;
    for (int i = 0; i < segments.length; ++i) {
      sum += segments[i].count;
    }
    return Ints.saturatedCast(sum);
  }

  @Override

             M({{"add1"}, {"add2"}}),
             {{"feed1", "add1_0:0"},
              {"feed2", "add1_0:1"},
              {"add1_0:sum:0", "add2_0:0"},
              {"feed3", "add2_0:1"},
              {"add1_0:sum:0", "add1"},
              {"add2_0:sum:0", "add2"}},
             {});
}

TEST_F(CApiFunctionTest, FromSubsetOfOps) {
  /*
   *                  |  |  |
   *                  v  v  /