KmIedbje5/rdfg5gujQC7bSUfbqcfj+p8MymGsUg0mttvWVVDhCSOe2GAA4PA7y/
Ply5JTS3XLsfwVyzilyFyy4hrXsAUjvWhOa6w1PFjLC/wVXj+apPxVugz+gQ5puP
1iMkdAn6D90Np+vwUA==
=OBtF
-----END PGP PUBLIC KEY BLOCK-----

pub    806E7D417A281864
uid    Kurt Alfred Kluever <******@****.***>

-----BEGIN PGP PUBLIC KEY BLOCK-----
Version: BCPG v1.68

mQMuBE/qFp4RCAD+ss1m9zBPDzOIhgOhN9GmTkZIPuhmJMaqJ53mAzSl/Byf7dJB
rUHnoHv20ZVJVJ+ri6cgOWGEiFBzFdWDtJCB+thSQN8LEWalGNGYgewmQSGfK6v+

	v_0 := v.Args[0]
	b := v.Block
	typ := &b.Func.Config.Types
	// match: (BSWAPL (BSWAPL p))
	// result: p
	for {
		if v_0.Op != OpAMD64BSWAPL {
			break
		}
		p := v_0.Args[0]
		v.copyOf(p)
		return true
	}
	// match: (BSWAPL x:(MOVLload [i] {s} p mem))
	// cond: x.Uses == 1 && buildcfg.GOAMD64 >= 3
	// result: @x.Block (MOVBELload [i] {s} p mem)
	for {
		x := v_0

	// cond: a.Block.Func.useFMA(v)
	// result: (FNMSUBD a x y)
	for {
		if v_0.Op != OpARM64FMULD {
			break
		}
		y := v_0.Args[1]
		x := v_0.Args[0]
		a := v_1
		if !(a.Block.Func.useFMA(v)) {
			break
		}
		v.reset(OpARM64FNMSUBD)
		v.AddArg3(a, x, y)
		return true
	}
	// match: (FSUBD a (FNMULD x y))
	// cond: a.Block.Func.useFMA(v)

		v.copyOf(x)
		return true
	}
	return false
}
func rewriteBlockgeneric(b *Block) bool {
	switch b.Kind {
	case BlockIf:
		// match: (If (Not cond) yes no)
		// result: (If cond no yes)
		for b.Controls[0].Op == OpNot {
			v_0 := b.Controls[0]
			cond := v_0.Args[0]
			b.resetWithControl(BlockIf, cond)
			b.swapSuccessors()
			return true
		}

}

func TestAlphaPVVolumeModeUpdate(t *testing.T) {
	block := core.PersistentVolumeBlock
	file := core.PersistentVolumeFilesystem

	scenarios := map[string]struct {
		isExpectedFailure bool
		oldPV             *core.PersistentVolume
		newPV             *core.PersistentVolume
	}{
		"valid-update-volume-mode-block-to-block": {
			isExpectedFailure: false,

grid of blocks of shape `block_shape`, and interleaves these blocks with the
"batch" dimension (0) such that in the output, the spatial dimensions
`[1, ..., M]` correspond to the position within the grid, and the batch
dimension combines both the position within a spatial block and the original
batch position.  Prior to division into blocks, the spatial dimensions of the

		{"UnsupportedValueError.Str", Field, 0},
		{"UnsupportedValueError.Value", Field, 0},
		{"Valid", Func, 9},
	},
	"encoding/pem": {
		{"Block", Type, 0},
		{"Block.Bytes", Field, 0},
		{"Block.Headers", Field, 0},
		{"Block.Type", Field, 0},
		{"Decode", Func, 0},
		{"Encode", Func, 0},
		{"EncodeToMemory", Func, 0},
	},
	"encoding/xml": {
		{"(*Decoder).Decode", Method, 0},

          },
          "configMap": {
            "allOf": [

2B0E..2B13    ; valid                  ;      ; NV8    # 4.1  RIGHTWARDS ARROW WITH TIP DOWNWARDS..SQUARE WITH BOTTOM HALF BLACK
2B14..2B1A    ; valid                  ;      ; NV8    # 5.0  SQUARE WITH UPPER RIGHT DIAGONAL HALF BLACK..DOTTED SQUARE
2B1B..2B1F    ; valid                  ;      ; NV8    # 5.1  BLACK LARGE SQUARE..BLACK PENTAGON

*   Adds `Dataset.interleave` transformation.
*   Add `ConcatenateDataset` to concatenate two datasets.
*   Added Mobilenet support to TensorFlow for Poets training script.
*   Adds a block cache to the GCS filesystem with configurable block size and
    count.
*   SinhArcSinh bijector added.
*   Added `Dataset.list_files` API.
*   Introduces new operations and Python bindings for the Cloud TPU.