tests := []struct {
		objSize    int64
		sizeFilter BatchJobSizeFilter
		want       bool
	}{
		{
			// 1Mib < 2Mib < 10MiB -> in range
			objSize: 2 << 20,
			sizeFilter: BatchJobSizeFilter{
				UpperBound: 10 << 20,
				LowerBound: 1 << 20,
			},
			want: true,
		},
		{
			// 2KiB < 1 MiB -> out of range from left
			objSize: 2 << 10,
			sizeFilter: BatchJobSizeFilter{
				UpperBound: 10 << 20,

	XMLName xml.Name `xml:"ReplicationConfiguration" json:"-"`
	Rules   []Rule   `xml:"Rule" json:"Rules"`
	// RoleArn is being reused for MinIO replication ARN
	RoleArn string `xml:"Role" json:"Role"`
}

// Maximum 2MiB size per replication config.
const maxReplicationConfigSize = 2 << 20

// ParseConfig parses ReplicationConfiguration from xml
func ParseConfig(reader io.Reader) (*Config, error) {
	config := Config{}

Such objects do not produce efficient [`LZ compression`](https://en.wikipedia.org/wiki/LZ77_and_LZ78)
which is a fitness factor for a lossless data compression.

Pre-compressed input typically compresses in excess of 2GiB/s per core,
so performance impact should be minimal even if precompressed data is re-compressed.
Decompressing incompressible data has no significant performance impact.