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