return new Or(this, other);
  }

  /**
   * Returns a {@code char} matcher functionally equivalent to this one, but which may be faster to
   * query than the original; your mileage may vary. Precomputation takes time and is likely to be
   * worthwhile only if the precomputed matcher is queried many thousands of times.
   *

   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead

    return new Or(this, other);
  }

  /**
   * Returns a {@code char} matcher functionally equivalent to this one, but which may be faster to
   * query than the original; your mileage may vary. Precomputation takes time and is likely to be
   * worthwhile only if the precomputed matcher is queried many thousands of times.
   *

    for (int i = 0; i < map.segments.length; i++) {
      assertEquals(segmentSize, map.segments[i].table.length());
    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);

    for (int i = 0; i < map.segments.length; i++) {
      assertEquals(segmentSize, map.segments[i].table.length());
    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);

   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead

In general, machine-specific operations tend to appear as themselves, while more general concepts like
memory move and subroutine call and return are more abstract.
The details vary with architecture, and we apologize for the imprecision; the situation is not well-defined.
</p>

<p>
The assembler program is a way to parse a description of that

}

// Signature will return a signature that is expected to be the same across all disks.
func (j *xlMetaV2Object) Signature() [4]byte {
	// Shallow copy
	c := *j
	// Zero fields that will vary across disks
	c.ErasureIndex = 0

	// Nil 0 size allownil, so we don't differentiate between nil and 0 len.
	allEmpty := true
	for _, tag := range c.PartETags {
		if len(tag) != 0 {
			allEmpty = false

	if scParity < 0 {
		scParity = z.serverPools[0].defaultParityCount
	}
	rrSCParity := globalStorageClass.GetParityForSC(storageclass.RRS)

	// Data blocks can vary per pool, but parity is same.
	for i, setDriveCount := range z.SetDriveCounts() {
		b.StandardSCData = append(b.StandardSCData, setDriveCount-scParity)
		b.RRSCData = append(b.RRSCData, setDriveCount-rrSCParity)

		"Content-Disposition",
		"Last-Modified",
		"Content-Language",
		"Cache-Control",
		"Retry-After",
		"X-Amz-Bucket-Region",
		"Expires",
		"X-Amz*",
		"X-Amz*",
		"*",
	}
	expectedMap.Set("Vary", "Origin")

	req, _ := http.NewRequest(http.MethodOptions, s.endPoint, nil)
	req.Header.Set("Origin", "http://foobar.com")
	res, err := s.client.Do(req)
	if err != nil {
		c.Fatal(err)
	}