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Results 1 - 4 of 4 for rootns (0.23 sec)

  1. pkg/apis/core/validation/validation_test.go

    	invalidAPIGroup := "^invalid"
    	invalidMode := core.PersistentVolumeMode("fakeVolumeMode")
    	validMode := core.PersistentVolumeFilesystem
    	goodName := "foo"
    	goodNS := "ns"
    	if ephemeral {
    		// Must be empty for ephemeral inline volumes.
    		goodName = ""
    		goodNS = ""
    	}
    	goodClaimSpec := core.PersistentVolumeClaimSpec{
    		Selector: &metav1.LabelSelector{
    			MatchExpressions: []metav1.LabelSelectorRequirement{{
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Wed May 29 22:40:29 UTC 2024
    - 857.7K bytes
    - Viewed (0)
  2. src/testdata/Isaac.Newton-Opticks.txt

    Charges or magnifying Powers ought to be as the Cubes of the square
    Roots of their lengths; which doth not answer to Experience. But the
    Errors of the Rays arising from the different Refrangibility, are as the
    Apertures of the Object-glasses; and thence to make Telescopes of
    various lengths, magnify with equal distinctness, their Apertures and
    Charges ought to be as the square Roots of their lengths; and this
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Oct 01 16:16:21 UTC 2018
    - 553.9K bytes
    - Viewed (0)
  3. src/cmd/vendor/golang.org/x/tools/internal/stdlib/manifest.go

    		{"VerifyOptions.DNSName", Field, 0},
    		{"VerifyOptions.Intermediates", Field, 0},
    		{"VerifyOptions.KeyUsages", Field, 1},
    		{"VerifyOptions.MaxConstraintComparisions", Field, 10},
    		{"VerifyOptions.Roots", Field, 0},
    	},
    	"crypto/x509/pkix": {
    		{"(*CertificateList).HasExpired", Method, 0},
    		{"(*Name).FillFromRDNSequence", Method, 0},
    		{"(Name).String", Method, 10},
    		{"(Name).ToRDNSequence", Method, 0},
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Apr 02 02:20:05 UTC 2024
    - 534.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

    }
    
    def TF_TPURoundRobinOp : TF_Op<"TPURoundRobin", []> {
      let summary = "Round-robin load balancing on TPU cores.";
    
      let description = [{
    A load balancing op that round-robins among TPU cores.
    
    This op round-robins between the integers in [0, NumTPUCoresVisiblePerHost]. It
    is useful for interfacing with TensorFlow ops that take as input a TPU core on
    which to execute computations, such as `TPUPartitionedCall`.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
    - Viewed (0)
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