# MinIO Server Config Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

## Configuration Directory

---
apiVersion: v1
data:
  excludel2.yaml: |
    announcedInterfacesToExclude: ["^docker.*", "^cbr.*", "^dummy.*", "^virbr.*", "^lxcbr.*", "^veth.*", "^lo$", "^cali.*", "^tunl.*", "^flannel.*", "^kube-ipvs.*", "^cni.*", "^nodelocaldns.*"]
kind: ConfigMap
metadata:
  name: metallb-excludel2
  namespace: metallb-system
---
apiVersion: v1
kind: Secret
metadata:
  name: webhook-server-cert

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

# Bucket Versioning Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

	s.Split(c.split)
	for s.Scan() {
	}
	if s.Err() != nil {
		t.Fatal("after scan:", s.Err())
	}
	if c != 0 {
		t.Fatalf("stopped with %d left to process", c)
	}
}

// Make sure we can read a huge token if a big enough buffer is provided.
func TestHugeBuffer(t *testing.T) {
	text := strings.Repeat("x", 2*MaxScanTokenSize)
	s := NewScanner(strings.NewReader(text + "\n"))
	s.Buffer(make([]byte, 100), 3*MaxScanTokenSize)

  # or Cilium Network Policies (flavor: cilium)
  flavor: kubernetes
  allowExternal: true
  # only when using flavor: cilium
  egressEntities:
   - kube-apiserver

## PodDisruptionBudget settings
## ref: https://kubernetes.io/docs/concepts/workloads/pods/disruptions/
##
podDisruptionBudget:
  enabled: false
  maxUnavailable: 1

	MULLD	(R1)(R2*1), R3        // e3321000000c
	MULLW	(R3)(R4*1), R5        // 71543000
	MULLW	4096(R3), R4          // e34030000151
	SUB	(R1), R2              // e32010000009
	SUBC	(R1), R2              // e3201000000b
	SUBE	(R1), R2              // e32010000089
	SUBW	(R1), R2              // 5b201000
	SUBW	-1(R1), R2            // e3201fffff5b
	AND	(R1), R2              // e32010000080
	ANDW	(R1), R2              // 54201000

# Bucket Replication Guide [![slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

Bucket replication is designed to replicate selected objects in a bucket to a destination bucket.

    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for development). Use TF SIG Build Dockerfiles in

     *   lock.unlock();
     * }
     *
     * If we only held the int[] stripes, translating it on the fly to L's, the original locks might
     * be garbage collected after locking them, ending up in a huge mess.
     */
    @SuppressWarnings("unchecked") // we carefully replaced all keys with their respective L's
    List<L> asStripes = (List<L>) result;
    return Collections.unmodifiableList(asStripes);
  }