// 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)

}

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

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

*   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.

Class <org.gradle.cache.internal.btree.Block> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Block.java:0)
Class <org.gradle.cache.internal.btree.BlockPayload> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (BlockPayload.java:0)