},
		{ // case 2 no pod
			args:           strings.Split("pod", " "),
			expectedString: "Error: expecting pod name",
			wantException:  true, // "istioctl experimental inspect pod" should fail
		},
		{ // case 3 unknown pod
			args:           strings.Split("po not-a-pod", " "),
			expectedString: "pods \"not-a-pod\" not found",

        BloomFilter.create(Funnels.integerFunnel(), 15_000_000, 0.01);

    // This check has to be BEFORE the loop because the random insertions can
    // flip GOLDEN_PRESENT_KEY to true even if it wasn't explicitly inserted
    // (false positive).
    assertThat(bloomFilter.mightContain(GOLDEN_PRESENT_KEY)).isFalse();
    for (int i = 0; i < NUM_PUTS; i++) {
      bloomFilter.put(getNonGoldenRandomKey());
    }

        }

        //
        // We enter the session scope right after the MavenSession creation and before any of the
        // AbstractLifecycleParticipant lookups
        // so that @SessionScoped components can be @Injected into AbstractLifecycleParticipants.
        //
        sessionScope.enter();
        MavenChainedWorkspaceReader chainedWorkspaceReader =

    for (const auto node : graph->get()->nodes()) {
      if (node->name().find(error_node_) != string::npos &&
          node->requested_device() == error_device_) {
        return tensorflow::errors::Internal("Injected graph pass error.");
      }
    }
    return absl::OkStatus();
  }

 private:
  const string error_node_;
  const string error_device_;
};

      K key = (K) stream.readObject();
      @SuppressWarnings("unchecked")
      V value = (V) stream.readObject();
      /*
       * requireNonNull is safe for a properly serialized multimap: We've already inserted a
       * collection for each key that we expect.
       */
      requireNonNull(map.get(key)).add(value);
    }
    setMap(map);
  }

  @GwtIncompatible // java serialization not supported

### Typical Pull Request Workflow -

**1. New PR**

- As a contributor, you submit a New PR on GitHub.
- We inspect every incoming PR and add certain labels to the PR such as `size:`,
  `comp:` etc.  At this stage we check if the PR is valid and meets certain
  quality requirements. For example, we check if the CLA is signed, PR has

		adminRouter.Methods(http.MethodGet).Path(adminVersion + "/info").HandlerFunc(adminMiddleware(adminAPI.ServerInfoHandler, traceAllFlag, noObjLayerFlag))
		adminRouter.Methods(http.MethodGet, http.MethodPost).Path(adminVersion + "/inspect-data").HandlerFunc(adminMiddleware(adminAPI.InspectDataHandler, noGZFlag, traceHdrsS3HFlag))

		// StorageInfo operations

      }
    }
  }

  /**
   * Returns the bucket (in either the K-to-V or V-to-K tables) where elements with the specified
   * hash could be found, if present, or could be inserted.
   */
  private int bucket(int hash) {
    return hash & (hashTableKToV.length - 1);
  }

  /** Given a key, returns the index of the entry in the tables, or ABSENT if not found. */

  # Retrieve full workload dump of workloads with address XXXX for a given Ztunnel instance.
  istioctl ztunnel-config workload <ztunnel-name[.namespace]> --address 0.0.0.0 -o json

  # Retrieve Ztunnel config dump separately and inspect from file.
  kubectl exec -it $ZTUNNEL -n istio-system -- curl localhost:15000/config_dump > ztunnel-config.json
  istioctl ztunnel-config workloads --file ztunnel-config.json

  // 2) p = (1 - e ^ (-kn/m))^k
  // 3) For optimal k: p = 2 ^ (-k) ~= 0.6185^b
  // 4) For optimal k: m = -nlnp / ((ln2) ^ 2)

  /**
   * Computes the optimal k (number of hashes per element inserted in Bloom filter), given the
   * expected insertions and total number of bits in the Bloom filter.
   *
   * <p>See http://en.wikipedia.org/wiki/File:Bloom_filter_fp_probability.svg for the formula.
   *