return fmt.Errorf("--for must be 'delete' or 'distribution', got: %s", forFlag)
			}
			if proxyFlag != "" && threshold != 1 {
				printVerbosef(cmd, "both the proxy and threshold options were provided; the threshold option is being ignored.")
				threshold = 1
			}
			var w *watcher
			ctx, cancel := context.WithTimeout(context.Background(), timeout)
			defer cancel()
			if generation == "" {

	// physical page. Assume the worst case: a full physical page out of each
	// allocation.
	threshold := 0.1 + float64(pageSize)/float64(allocChunk)
	if overuse <= threshold {
		fmt.Println("OK")
		return
	}
	// Physical memory utilization exceeds the threshold, so heap-growth scavenging
	// did not operate as expected.
	//
	// In the context of this test, this indicates a large amount of

    primaryCredentials(PasswordCredentials){
        username = 'uname'
        password = 'hunter2'
    }

    nullCredentials(PasswordCredentials) { }
    numbers(Numbers){
        value = 5
        threshold = 0.8
    }
    unsetNumbers(Numbers) { }
}

"""
        buildFile
        when:
        run "model"

        then:
        ModelReportOutput.from(output).hasNodeStructure {

        }
    }

    @Override
    public Object clone() {
        final ArrayMap<K, V> copy = new ArrayMap<>();
        copy.threshold = threshold;
        copy.mapTable = Arrays.copyOf(mapTable, size);
        copy.listTable = Arrays.copyOf(listTable, size);
        copy.size = size;
        return copy;
    }

    /**
     * エントリのインデックスを返します。
     *
     * @param entry

        llvm::cl::desc(
            "Lower threshold of the constant size for unfreezing. Constants "
            "smaller than this value will not be converted to variables."));
  }

  void getDependentDialects(DialectRegistry& registry) const override {
    registry.insert<TF::TensorFlowDialect,
                    tf_saved_model::TensorFlowSavedModelDialect>();
  }

  // Lower-bound threshold for the size of the constant in bytes. Constants

		},
		{
			// Pod: gcr.io/4000 gcr.io/10

			// Node1
			// Image: gcr.io/4000:latest 2000MB
			// Score: 100 (4000 * 1/2 >= 1000M * 2, max-threshold)

			// Node2
			// Image: gcr.io/10:latest 10MB
			// Score: 0 (10M/2 < 23M, min-threshold)
			pod:          &v1.Pod{Spec: testMinMax},
			nodes:        []*v1.Node{makeImageNode("node1", node400030), makeImageNode("node2", node25010)},

			t.Errorf("expected index:\n%s\ngot:\n%s", string(e), string(a))
		}
	}

	for i := 1; i <= g.destinationEdgeThreshold; i++ {
		addPod(i, i)
		if i < g.destinationEdgeThreshold {
			// if we're under the threshold, no index expected
			expectIndex(map[string][]string{})
		}
	}
	expectGraph(map[string][]string{
		"node:node1":            {},
		"node:node2":            {},
		"node:node3":            {},

		go matmult(done1, A, B, C, i0, i1, j0, mj, k0, k1, threshold)
		matmult(nil, A, B, C, i0, i1, mj, j1, k0, k1, threshold)
		<-done1
	} else if dk >= threshold {
		// divide in two by "k" axis
		// deliberately not parallel because of data races
		mk := k0 + dk/2
		matmult(nil, A, B, C, i0, i1, j0, j1, k0, mk, threshold)
		matmult(nil, A, B, C, i0, i1, j0, j1, mk, k1, threshold)
	} else {

	return m.recorder
}

// NewCgroupNotifier mocks base method.
func (m *MockNotifierFactory) NewCgroupNotifier(path, attribute string, threshold int64) (CgroupNotifier, error) {
	m.ctrl.T.Helper()
	ret := m.ctrl.Call(m, "NewCgroupNotifier", path, attribute, threshold)
	ret0, _ := ret[0].(CgroupNotifier)
	ret1, _ := ret[1].(error)
	return ret0, ret1
}

		return err
	}

	// If over the max threshold, free enough to place us at the lower threshold.
	usagePercent := 100 - int(available*100/capacity)
	if usagePercent >= im.policy.HighThresholdPercent {
		amountToFree := capacity*int64(100-im.policy.LowThresholdPercent)/100 - available