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  1. src/os/os_test.go

    }
    
    // Test that reading from a pipe doesn't use up a thread.
    func TestPipeThreads(t *testing.T) {
    	switch runtime.GOOS {
    	case "illumos", "solaris":
    		t.Skip("skipping on Solaris and illumos; issue 19111")
    	case "windows":
    		t.Skip("skipping on Windows; issue 19098")
    	case "plan9":
    		t.Skip("skipping on Plan 9; does not support runtime poller")
    	case "js":
    		t.Skip("skipping on js; no support for os.Pipe")
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu May 23 01:00:11 UTC 2024
    - 83.1K bytes
    - Viewed (0)
  2. staging/publishing/rules.yaml

          - staging/src/k8s.io/apimachinery
      - name: release-1.27
        go: 1.21.11
        source:
          branch: release-1.27
          dirs:
          - staging/src/k8s.io/apimachinery
      - name: release-1.28
        go: 1.21.11
        source:
          branch: release-1.28
          dirs:
          - staging/src/k8s.io/apimachinery
      - name: release-1.29
        go: 1.21.11
        source:
          branch: release-1.29
          dirs:
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Wed Jun 12 09:33:40 UTC 2024
    - 57.6K bytes
    - Viewed (0)
  3. pkg/kubelet/nodestatus/setters_test.go

    	}{
    		{
    			name:   "A single InternalIP",
    			nodeIP: netutils.ParseIPSloppy("10.1.1.1"),
    			nodeAddresses: []v1.NodeAddress{
    				{Type: v1.NodeInternalIP, Address: "10.1.1.1"},
    				{Type: v1.NodeHostName, Address: testKubeletHostname},
    			},
    			expectedAddresses: []v1.NodeAddress{
    				{Type: v1.NodeInternalIP, Address: "10.1.1.1"},
    				{Type: v1.NodeHostName, Address: testKubeletHostname},
    			},
    			shouldError: false,
    Registered: Sat Jun 15 01:39:40 UTC 2024
    - Last Modified: Thu Apr 25 21:47:24 UTC 2024
    - 76.1K bytes
    - Viewed (0)
  4. pkg/log/config_test.go

    		input time.Time
    		want  string
    	}{
    		{"1", time.Date(1, time.April, 1, 1, 1, 1, 1, time.UTC), "0001"},
    		{"1989", time.Date(1989, time.February, 1, 1, 1, 1, 1, time.UTC), "1989"},
    		{"2017", time.Date(2017, time.January, 1, 1, 1, 1, 1, time.UTC), "2017"},
    		{"2083", time.Date(2083, time.March, 1, 1, 1, 1, 1, time.UTC), "2083"},
    		{"2573", time.Date(2573, time.June, 1, 1, 1, 1, 1, time.UTC), "2573"},
    Registered: Fri Jun 14 15:00:06 UTC 2024
    - Last Modified: Tue Mar 26 20:38:10 UTC 2024
    - 10.9K bytes
    - Viewed (0)
  5. platforms/core-configuration/declarative-dsl-core/src/test/kotlin/org/gradle/internal/declarativedsl/parsing/BasicParsingTest.kt

                                name = x
                            )
                        )
                        FunctionArgument.Positional [indexes: 8..11, line/column: 1/9..1/12, file: test] (
                            expr = StringLiteral [indexes: 8..11, line/column: 1/9..1/12, file: test] (s)
                        )
                        FunctionArgument.Positional [indexes: 13..16, line/column: 1/14..1/17, file: test] (
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Tue May 14 22:06:18 UTC 2024
    - 19.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions.mlir

        data_format = "NDHWC", device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]
      } : (tensor<1x3x4x3x3xf32>, tensor<2x3x3x3x2xf32>) -> tensor<1x3x2x3x2xf32>
      %1 = "tf.Relu"(%0) {device = ""} : (tensor<1x3x2x3x2xf32>) -> tensor<1x3x2x3x2xf32>
    
      %2 = "tf.Conv3D"(%arg0, %cst) {
        data_format = "NDHWC", device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.5K bytes
    - Viewed (0)
  7. testing/internal-integ-testing/src/main/groovy/org/gradle/integtests/fixtures/CrossVersionRetryTest.groovy

     * limitations under the License.
     */
    
    package org.gradle.integtests.fixtures
    
    import org.gradle.api.UncheckedIOException
    import org.gradle.internal.service.ServiceCreationException
    
    @TargetVersions(["1.9", "1.10"])
    class CrossVersionRetryTest extends CrossVersionIntegrationSpec {
    
        def iteration = 0
    
        def "retry for metadata directory creation issue in Gradle 1.9 or 1.10"() {
            given:
            iteration++
    
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Thu Apr 04 07:21:38 UTC 2024
    - 1.5K bytes
    - Viewed (0)
  8. docs/em/docs/deployment/server-workers.md

    [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
    [19511] [INFO] Booting worker with pid: 19511
    [19513] [INFO] Booting worker with pid: 19513
    [19514] [INFO] Booting worker with pid: 19514
    [19515] [INFO] Booting worker with pid: 19515
    [19511] [INFO] Started server process [19511]
    [19511] [INFO] Waiting for application startup.
    [19511] [INFO] Application startup complete.
    [19513] [INFO] Started server process [19513]
    Registered: Mon Jun 17 08:32:26 UTC 2024
    - Last Modified: Thu Apr 18 19:53:19 UTC 2024
    - 8.2K bytes
    - Viewed (0)
  9. maven-resolver-provider/src/test/java/org/apache/maven/repository/internal/VersionTest.java

            assertOrder(X_EQ_Y, "0.0.1", "--1");
        }
    
        @Test
        void testConsecutiveDelimiters() {
            assertOrder(X_EQ_Y, "1.0.1", "1..1");
            assertOrder(X_EQ_Y, "1.0.0.1", "1...1");
            assertOrder(X_EQ_Y, "1.0.1", "1--1");
            assertOrder(X_EQ_Y, "1.0.0.1", "1---1");
        }
    
        @Test
        void testUnlimitedNumberOfVersionComponents() {
    Registered: Wed Jun 12 09:55:16 UTC 2024
    - Last Modified: Tue May 21 09:54:32 UTC 2024
    - 17.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir

      %0 = stablehlo.constant() {value = dense<7.000000e+00> : tensor<8x8x3x3xf32>} : () -> tensor<8x8x3x3xf32>
      %2 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, f, 0, 1]x[o, i, 0, 1]->[b, f, 0, 1], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x8x4x4xf32>, tensor<8x8x3x3xf32>) -> tensor<1x8x4x4xf32>
      return %2 : tensor<1x8x4x4xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 18 20:32:46 UTC 2024
    - 12.6K bytes
    - Viewed (0)
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