{"(*Reader).RegisterDecompressor", Method, 6},
		{"(*Writer).AddFS", Method, 22},
		{"(*Writer).Close", Method, 0},
		{"(*Writer).Copy", Method, 17},
		{"(*Writer).Create", Method, 0},
		{"(*Writer).CreateHeader", Method, 0},
		{"(*Writer).CreateRaw", Method, 17},
		{"(*Writer).Flush", Method, 4},
		{"(*Writer).RegisterCompressor", Method, 6},
		{"(*Writer).SetComment", Method, 10},
		{"(*Writer).SetOffset", Method, 5},
		{"Compressor", Type, 2},

		csi:  &core.CSIVolumeSource{Driver: "test-driver"},
	}, {
		name:     "missing driver name",
		csi:      &core.CSIVolumeSource{Driver: ""},
		errtype:  field.ErrorTypeRequired,
		errfield: "driver",
	}, {
		name: "driver name: ok no punctuations",
		csi:  &core.CSIVolumeSource{Driver: "comgooglestoragecsigcepd"},
	}, {
		name: "driver name: ok dot only",

        "properties": {
          "driverName": {
            "description": "DriverName is the name used by the DRA driver kubelet plugin.",
            "type": "string"
          },
          "requests": {
            "description": "Requests describes all resources that are needed from the driver.",
            "items": {
              "allOf": [

      "io.k8s.api.core.v1.CSIVolumeSource": {
        "description": "Represents a source location of a volume to mount, managed by an external CSI driver",
        "properties": {
          "driver": {
            "default": "",
            "description": "driver is the name of the CSI driver that handles this volume. Consult with your admin for the correct name as registered in the cluster.",
            "type": "string"
          },

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...

Class <org.gradle.api.internal.artifacts.ivyservice.modulecache.ModuleMetadataSerializer$Writer> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (ModuleMetadataSerializer.java:0)