continue
		}

		// In accordance with https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPOST.html
		// The file or text content.
		// The file or text content must be the last field in the form.
		// You cannot upload more than one file at a time.
		reader = part

		possibleShardSize := (r.ContentLength - headerLen)

* **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.

func getQuorumDisks(disks []StorageAPI, infos []DiskInfo, readQuorum int) (newDisks []StorageAPI) {
	newDisks, _ = getQuorumDiskInfos(disks, infos, readQuorum)
	return newDisks
}

// Will return io.EOF if continuing would not yield more results.
func (er *erasureObjects) listPath(ctx context.Context, o listPathOptions, results chan<- metaCacheEntry) (err error) {
	defer xioutil.SafeClose(results)
	o.debugf(color.Green("listPath:")+" with options: %#v", o)

			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusBadRequest,
		},
		// Test case - 10.
		// Existent bucket with policy with Version field empty.
		// writing BucketPolicy should fail.
		// should result in 400 StatusBadRequest.
		{
			bucketName:         bucketName,

	VCNT V0.B8, V0.B8                          // 0058200e
	VCNT V0.B16, V0.B16                        // 0058204e
	WFE                                        // 5f2003d5
	WFI                                        // 7f2003d5
	YIELD                                      // 3f2003d5
	//TODO FABD F0, F5, F11                    // abd4a07e
	//TODO VFABD V30.S2, V8.S2, V24.S2         // 18d5be2e
	//TODO VFABS V5.S4, V24.S4                 // b8f8a04e

            } catch (Exception e) {
                ModelProblemCollectorRequest mpcr = new ModelProblemCollectorRequest(Severity.ERROR, Version.BASE)
                        .setMessage("Failed to interpolate field: "
                                + interpolatedModel.getParent().getVersion()
                                + " on class: ")
                        .setException(e);
                problems.add(mpcr);
            }

		return
	}
	// Expect (SB), (FP), (PC), or (SP)
	p.get('(')
	reg := p.get(scanner.Ident).String()
	p.get(')')
	p.setPseudoRegister(a, reg, isStatic, prefix)
}

// setPseudoRegister sets the NAME field of addr for a pseudo-register reference such as (SB).
func (p *Parser) setPseudoRegister(addr *obj.Addr, reg string, isStatic bool, prefix rune) {
	if addr.Reg != 0 {
		p.errorf("internal error: reg %s already set in pseudo", reg)

 * <li><code>merge<i>Classname</i>_<i>FieldName</i>( <i>Classname</i> target, <i>Classname</i> source, boolean
 * sourceDominant, Map&lt;Object, Object&gt; context )</code> for each field of each model class</li>
 * <li><code>Object get<i>Classname</i>Key( <i>Classname</i> <i>classname</i> )</code>
 * for each class that is used in a list</li>
 * </ul>

	STPW	(R3, R4), -4(RSP)   // e3933f29
	STPW	(R3, R4), 11(RSP)   // fb2f009163130029
	STPW	(R3, R4), 1024(RSP) // fb03109163130029
	STPW	(R3, R4), x(SB)
	STPW	(R3, R4), x+8(SB)

// bit field operation
	BFI	$0, R1, $1, R2      // 220040b3
	BFIW	$0, R1, $1, R2      // 22000033
	SBFIZ	$0, R1, $1, R2      // 22004093
	SBFIZW	$0, R1, $1, R2      // 22000013
	UBFIZ	$0, R1, $1, R2      // 220040d3

	// The reason to duplicate this structure here is to verify if the
	// unmarshalling works from a client perspective, specifically
	// while unmarshalling time.Time type for 'Initiated' field.
	// time.Time does not honor xml marshaller, it means that we need
	// to encode/format it before giving it to xml marshaling.

	// This below check adds client side verification to see if its
	// truly parsable.