VFWREDOSUMVS	V1, V2, V3			// d79120ce
	VFWREDOSUMVS	V1, V2, V0, V3			// d79120cc
	VFWREDUSUMVS	V1, V2, V3			// d79120c6
	VFWREDUSUMVS	V1, V2, V0, V3			// d79120c4

	// 31.15: Vector Mask Instructions
	VMANDMM		V1, V2, V3			// d7a12066
	VMNANDMM	V1, V2, V3			// d7a12076
	VMANDNMM	V1, V2, V3			// d7a12062
	VMXORMM		V1, V2, V3			// d7a1206e
	VMORMM		V1, V2, V3			// d7a1206a

	VNCIPHER V1, V2, V3             // 10611548
	VNCIPHERLAST V1, V2, V3         // 10611549
	VSBOX V1, V2                    // 104105c8
	VSHASIGMAW $1, V1, $15, V2      // 10418e82
	VSHASIGMAW $1, $15, V1, V2      // 10418e82
	VSHASIGMAD $2, V1, $15, V2      // 104196c2
	VSHASIGMAD $2, $15, V1, V2      // 104196c2

	LXVD2X (R3)(R4), VS1            // 7c241e98
	LXVD2X (R3)(R0), VS1            // 7c201e98

			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *SRStatus) Msgsize() (s int) {
	s = 1 + 15 + msgp.Int64Size + 7 + z.Failed.Msgsize() + 16 + msgp.Int64Size + 8 + z.Latency.Msgsize() + 3
	if z.XferRateLrg == nil {
		s += msgp.NilSize
	} else {
		s += z.XferRateLrg.Msgsize()
	}
	s += 3

			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BucketReplicationStat) Msgsize() (s int) {
	s = 1 + 15 + msgp.Int64Size + 12 + msgp.Int64Size + 10 + z.FailStats.Msgsize() + 7 + z.Failed.Msgsize() + 16 + msgp.Int64Size + 8 + 1 + 16 + z.Latency.UploadHistogram.Msgsize() + 31 + msgp.Int64Size + 34 + msgp.Float64Size + 3

		// Testing on empty bucket, that is, bucket without any objects in it (12).
		{"empty-bucket", "", "", "", 0, ListObjectsInfo{}, nil, true},
		// Setting maxKeys to negative value (13-14).
		{"empty-bucket", "", "", "", -1, ListObjectsInfo{}, nil, true},
		{"empty-bucket", "", "", "", 1, ListObjectsInfo{}, nil, true},
		// Setting maxKeys to a very large value (15).

    downloaded at `tensorflow-cpu` for users who are concerned about package
    size.
*   TensorFlow 1.15 contains a complete implementation of the 2.0 API in its
    `compat.v2` module. It contains a copy of the 1.15 main module (without
    `contrib`) in the `compat.v1` module. TensorFlow 1.15 is able to emulate 2.0
    behavior using the `enable_v2_behavior()` function. This enables writing

	ADCW (R11), DX                          // 66411313
	ADCW (BX), R11                          // 6644131b
	ADCW (R11), R11                         // 6645131b
	ADCL (BX), DX                           // 1313
	ADCL (R11), DX                          // 411313
	ADCL (BX), R11                          // 44131b
	ADCL (R11), R11                         // 45131b
	ADCQ (BX), DX                           // 481313

uint64(0x0), uint64(p521Uint1(x344))) var x347 uint64 var x348 uint64 x348, x347 = bits.Mul64(x315, 0x1ff) var x349 uint64 var x350 uint64 x350, x349 = bits.Mul64(x315, 0xffffffffffffffff) var x351 uint64 var x352 uint64 x352, x351 = bits.Mul64(x315, 0xffffffffffffffff) var x353 uint64 var x354 uint64 x354, x353 = bits.Mul64(x315, 0xffffffffffffffff) var x355 uint64 var x356 uint64 x356, x355 = bits.Mul64(x315, 0xffffffffffffffff) var x357 uint64 var x358 uint64 x358, x357 = bits.Mul64(x315, 0xffffffffffffffff)...

uint64(0x0), uint64(p521Uint1(x344))) var x347 uint64 var x348 uint64 x348, x347 = bits.Mul64(x315, 0x1ff) var x349 uint64 var x350 uint64 x350, x349 = bits.Mul64(x315, 0xffffffffffffffff) var x351 uint64 var x352 uint64 x352, x351 = bits.Mul64(x315, 0xffffffffffffffff) var x353 uint64 var x354 uint64 x354, x353 = bits.Mul64(x315, 0xffffffffffffffff) var x355 uint64 var x356 uint64 x356, x355 = bits.Mul64(x315, 0xffffffffffffffff) var x357 uint64 var x358 uint64 x358, x357 = bits.Mul64(x315, 0xffffffffffffffff)...