* http://creativecommons.org/publicdomain/zero/1.0/
 */

/*
 * Source:
 * http://gee.cs.oswego.edu/cgi-bin/viewcvs.cgi/jsr166/src/jsr166e/extra/AtomicDoubleArray.java?revision=1.5
 * (Modified to adapt to guava coding conventions and
 * to use AtomicLongArray instead of sun.misc.Unsafe)
 */

package com.google.common.util.concurrent;

	// Prepare object versions
	obj := "obj-1"
	// Simulate objects uploaded 30 hours ago
	modTime := now.Add(-48 * time.Hour)
	uuids := make([]uuid.UUID, 5)
	for i := range uuids {
		uuids[i] = uuid.UUID([16]byte{15: uint8(i + 1)})
	}
	fivs := make([]FileInfo, 5)
	objInfos := make([]ObjectInfo, 5)
	objRetentionMeta := make(map[string]string)
	objRetentionMeta[strings.ToLower(xhttp.AmzObjectLockMode)] = string(objectlock.RetCompliance)

algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm,...

                                                <th style="width: 10%"><la:message key="labels.storage_size"/></th>
                                                <th style="width: 15%"><la:message
                                                        key="labels.storage_last_modified"/></th>
                                                <th style="width: 20%"></th>

	_ = x[ErrAccessKeyDisabled-9]
	_ = x[ErrInvalidArgument-10]
	_ = x[ErrInvalidBucketName-11]
	_ = x[ErrInvalidDigest-12]
	_ = x[ErrInvalidRange-13]
	_ = x[ErrInvalidRangePartNumber-14]
	_ = x[ErrInvalidCopyPartRange-15]
	_ = x[ErrInvalidCopyPartRangeSource-16]
	_ = x[ErrInvalidMaxKeys-17]
	_ = x[ErrInvalidEncodingMethod-18]
	_ = x[ErrInvalidMaxUploads-19]
	_ = x[ErrInvalidMaxParts-20]
	_ = x[ErrInvalidPartNumberMarker-21]

AlertRED:
  login: AlertRED
  count: 16
  avatarUrl: https://avatars.githubusercontent.com/u/15695000?u=f5a4944c6df443030409c88da7d7fa0b7ead985c&v=4
  url: https://github.com/AlertRED
hard-coders:
  login: hard-coders
  count: 15
  avatarUrl: https://avatars.githubusercontent.com/u/9651103?u=95db33927bbff1ed1c07efddeb97ac2ff33068ed&v=4
  url: https://github.com/hard-coders
Joao-Pedro-P-Holanda:
  login: Joao-Pedro-P-Holanda
  count: 14

        }

        @Test
        @DisplayName("isEmpty and isBlank edge cases")
        void testEmptyAndBlank() throws Exception {
            // No subauthorities
            SID s1 = new SID("S-1-5");
            assertTrue(s1.isEmpty());
            // isBlank will fail if sub_authority is null, so we skip that check for s1

            // All-zero subauthorities

pkg debug/elf, const R_AARCH64_P32_LDST16_ABS_LO12_NC = 14
pkg debug/elf, const R_AARCH64_P32_LDST16_ABS_LO12_NC R_AARCH64
pkg debug/elf, const R_AARCH64_P32_LDST32_ABS_LO12_NC = 15
pkg debug/elf, const R_AARCH64_P32_LDST32_ABS_LO12_NC R_AARCH64
pkg debug/elf, const R_AARCH64_P32_LDST64_ABS_LO12_NC = 16
pkg debug/elf, const R_AARCH64_P32_LDST64_ABS_LO12_NC R_AARCH64

    return Ints.fromBytes(input[offset + 3], input[offset + 2], input[offset + 1], input[offset]);
  }

  private static int mixK1(int k1) {
    k1 *= C1;
    k1 = Integer.rotateLeft(k1, 15);
    k1 *= C2;
    return k1;
  }

  private static int mixH1(int h1, int k1) {
    h1 ^= k1;
    h1 = Integer.rotateLeft(h1, 13);
    h1 = h1 * 5 + 0xe6546b64;
    return h1;
  }

	{dataBlocks: 8, onDisks: 12, offDisks: 2, blocksize: int64(blockSizeV2), data: oneMiByte, offset: 2, algorithm: DefaultBitrotAlgorithm, shouldFail: false, shouldFailQuorum: false},                // 15
	{dataBlocks: 8, onDisks: 10, offDisks: 1, blocksize: int64(blockSizeV2), data: oneMiByte, offset: 0, algorithm: DefaultBitrotAlgorithm, shouldFail: false, shouldFailQuorum: false},                // 16