return errXLBackend
	}

	return nil
}

// A single function to write certain errors to be fatal
// or informative based on the `exit` flag, please look
// at each implementation of error for added hints.
//
// FIXME: This is an unusual function but serves its purpose for
// now, need to revisit the overall erroring structure here.
// Do not like it :-(
func logFatalErrs(err error, endpoint Endpoint, exit bool) {

        // For Java compilation incremental analysis
        "it.unimi.dsi.fastutil.ints.IntOpenHashSet",
        "it.unimi.dsi.fastutil.ints.IntSets",
        // For the embedded Kotlin compiler
        "it.unimi.dsi.fastutil.ints.Int2ObjectMap",
        "it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap",
        "it.unimi.dsi.fastutil.objects.Object2IntMap",

			PauseEnd:   gcStats.PauseEnd,
		},
		MinioEnvVars: make(map[string]string, 10),
	}

	for poolNumber := range poolNumbers {
		props.PoolNumbers = append(props.PoolNumbers, poolNumber)
	}
	sort.Ints(props.PoolNumbers)
	props.PoolNumber = func() int {
		if len(props.PoolNumbers) == 1 {
			return props.PoolNumbers[0]
		}
		return math.MaxInt // this indicates that its unset.
	}()

		if gotNewErr != errErasureWriteQuorum {
			t.Errorf("Test %d : expected %s, got %s", i+1, errErasureWriteQuorum, gotErr)
		}
	}
}

// TestHashOrder - test order of ints in array
func TestHashOrder(t *testing.T) {
	testCases := []struct {
		objectName  string
		hashedOrder []int
	}{
		// cases which should pass the test.
		// passing in valid object name.

	valueIndexes := make([]int, 0, len(keys))
	for _, key := range keys {
		i := strings.Index(input, key+KvSeparator)
		if i == -1 {
			continue
		}
		valueIndexes = append(valueIndexes, i)
	}

	sort.Ints(valueIndexes)
	fields := make([]string, len(valueIndexes))
	for i := range valueIndexes {
		j := i + 1
		if j < len(valueIndexes) {
			fields[i] = strings.TrimSpace(input[valueIndexes[i]:valueIndexes[j]])
		} else {

        inner spec. This can be used to extract the structure of nested
        datasets.
    *   Add `tf.data.experimental.AutoShardingPolicy.HINT` which can be used to
        provide hints to tf.distribute-based auto-sharding as to where in the
        input pipeline to insert sharding transformations.
    *   Make tf.data.Options persistent across `tf.function` and `GraphDef`
        boundaries.

of A η int // bound for secret coefficients γ1 int // log₂(γ₁), where [-γ₁+1, γ₁] is the bound of y γ2 int // denominator of γ₂ = (q - 1) / γ2 λ int // collison strength τ int // number of non-zero coefficients in challenge ω int // max number of hints in MakeHint } var ( params44 = parameters{k: 4, l: 4, η: 2, γ1: 17, γ2: 88, λ: 128, τ: 39, ω: 80} params65 = parameters{k: 6, l: 5, η: 4, γ1: 19, γ2: 32, λ: 192, τ: 49, ω: 55} params87 = parameters{k: 8, l: 7, η: 2, γ1: 19, γ2: 32, λ: 256, τ: 60, ω:...

		}
	}

	var partNums []int
	for partNum, count := range partQuorumMap {
		if count < readQuorum {
			continue
		}
		partNums = append(partNums, partNum)
	}

	sort.Ints(partNums)
	return partNums, nil
}

// ListObjectParts - lists all previously uploaded parts for a given
// object and uploadID.  Takes additional input of part-number-marker

</p>

<pre>
chan T          // can be used to send and receive values of type T
chan&lt;- float64  // can only be used to send float64s
&lt;-chan int      // can only be used to receive ints
</pre>

<p>
The <code>&lt;-</code> operator associates with the leftmost <code>chan</code>
possible:
</p>

<pre>
chan&lt;- chan int    // same as chan&lt;- (chan int)