factory.setComponentName("testComponent");
        TestComponent comp1 = factory.create();
        assertEquals(1, comp1.getId());

        // Change component name and reuse factory
        factory.setComponentName("testComponent");
        TestComponent comp2 = factory.create();
        assertEquals(2, comp2.getId());

        // Components should be different instances

    public synchronized void mark(final int readlimit) {
        inputStream.mark(readlimit);
    }

    /**
     * Tests if this input stream supports the mark and reset methods.
     *
     * @return true if this stream instance supports the mark and reset methods; false otherwise
     */
    @Override
    public boolean markSupported() {
        return inputStream.markSupported();
    }

    /**

[JAX](https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html)
documentation should be safe, while some of the testing and debugging tools that
come with the compiler are not designed to be used with untrusted data and
should be used with caution when working with untrusted models.

### Saved graphs and checkpoints

When loading untrusted serialized computation graphs (in form of a `GraphDef`,

			t.Fatal(err)
		}
		_, err = globalIAMSys.PolicyDBSet(ctx, accessKey, testKMSPolicyName, regUser, false)
		if err != nil {
			t.Fatal(err)
		}
	} else {
		err = globalIAMSys.DeletePolicy(ctx, testKMSPolicyName, false)
		if err != nil {
			t.Fatal(err)
		}
		_, err = globalIAMSys.PolicyDBSet(ctx, accessKey, "", regUser, false)
		if err != nil {
			t.Fatal(err)
		}
	}

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeActiveWorkerStat Msgsize() is inaccurate")
	}

	vn := ActiveWorkerStat{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeActiveWorkerStat(b *testing.B) {
	v := ActiveWorkerStat{}
	var buf bytes.Buffer

		t.Log("WARNING: TestEncodeDecodeBucketReplicationResyncStatus Msgsize() is inaccurate")
	}

	vn := BucketReplicationResyncStatus{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeBucketReplicationResyncStatus(b *testing.B) {
	v := BucketReplicationResyncStatus{}

			if len(healDisks) == 0 {
				// Reset for next interval.
				diskCheckTimer.Reset(defaultMonitorNewDiskInterval)
				continue
			}

			// Reformat disks immediately
			_, err := z.HealFormat(context.Background(), false)
			if err != nil && !errors.Is(err, errNoHealRequired) {
				healingLogIf(ctx, err)
				// Reset for next interval.
				diskCheckTimer.Reset(defaultMonitorNewDiskInterval)
				continue
			}

bandwidth limits set via `mc admin bucket remote add` could also contribute to replication speed. The number of workers used for replication defaults to 100. Based on network bandwidth and system load, the number of workers used in replication can be configured using `mc admin config set alias api` to set the `replication_workers`. The prometheus metrics exposed by MinIO can be used to plan resource allocation and bandwidth management to optimize replication speed.

If synchronous replication...

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodePoolDecommissionInfo Msgsize() is inaccurate")
	}

	vn := PoolDecommissionInfo{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodePoolDecommissionInfo(b *testing.B) {
	v := PoolDecommissionInfo{}
	var buf bytes.Buffer

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeBatchJobKV Msgsize() is inaccurate")
	}

	vn := BatchJobKV{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeBatchJobKV(b *testing.B) {
	v := BatchJobKV{}
	var buf bytes.Buffer