%0 = stablehlo.convolution(%arg0, %arg1) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[0, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x4x2xf32>
    return %0 : tensor<1x3x4x2xf32>
  }

	-2.592737332129663376736604e-01,
	-1.0241334641061485092351251e-01,
	-2.3762660886100206491674503e-01,
}
var lgamma = []fi{
	{3.146492141244545774319734e+00, 1},
	{8.003414490659126375852113e+00, 1},
	{1.517575735509779707488106e+00, -1},
	{-2.588480028182145853558748e-01, 1},
	{1.1989897050205555002007985e+01, 1},
	{6.262899811091257519386906e-01, 1},
	{3.5287924899091566764846037e+00, 1},

	}
}

func TestStatDirModeExec(t *testing.T) {
	if runtime.GOOS == "wasip1" {
		t.Skip("Chmod is not supported on " + runtime.GOOS)
	}
	t.Parallel()

	const mode = 0111

	path := t.TempDir()
	if err := Chmod(path, 0777); err != nil {
		t.Fatalf("Chmod %q 0777: %v", path, err)
	}

	dir, err := Stat(path)
	if err != nil {

      %cst_4 = arith.constant dense<[0, 0, 1, 1, 1]> : tensor<5xi32>
      %cst_5 = arith.constant dense<[0, 1, 0, 1, 1]> : tensor<5xi32>
      %cst_6 = arith.constant dense<2> : tensor<i32>
      %cst_7 = arith.constant dense<"*"> : tensor<!tf_type.string>

3.245,11.919 3.018,11.88 C3.49,13.349 4.852,14.419 6.469,14.449 C5.205,15.429 3.612,16.019 1.882,16.019 C1.583,16.019 1.29,16.009 1,15.969 C2.635,17.019 4.576,17.629 6.662,17.629 C13.454,17.629 17.17,12 17.17,7.129 C17.17,6.969 17.166,6.809 17.157,6.649 C17.879,6.129 18.504,5.478 19,4.74"/></svg>',uikit:'<svg width="20" height="20" viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"><polygon points="14.4,3.1 11.3,5.1 15,7.3 15,12.9 10,15.7 5,12.9 5,8.5 2,6.8 2,14.8 9.9,19.5 18,14.8 18,5.3"/><polygon...

         </artifact>
      </component>
      <component group="io.github.gradle" name="gradle-enterprise-conventions-plugin" version="0.10.1">
         <artifact name="gradle-enterprise-conventions-plugin-0.10.1.jar">
            <sha256 value="69487b9158b5ec4620a9adbd5cc63fdfd1b00ce482bfa595f0340594ae10e388" origin="Verified" reason="Artifact is not signed"/>
         </artifact>
      </component>

			// +--------+-------------+--------+---------------+
			// For the first constraint (zone): the matching pods spread as 2/2/1/1
			// For the second constraint (node): the matching pods spread as 0/1/0/1
			name: "two Constraints on zone and node, with different labelSelectors",
			pod: st.MakePod().Name("p").Label("foo", "").Label("bar", "").
				SpreadConstraint(1, "zone", v1.ScheduleAnyway, fooSelector, nil, nil, nil, nil).

    assertThat(parse("http://[2001:0db8::1:0:0:1]").host).isEqualTo(a3)
    assertThat(parse("http://[2001:db8:0:0:1::1]").host).isEqualTo(a3)
    assertThat(parse("http://[2001:db8:0000:0:1::1]").host).isEqualTo(a3)
    assertThat(parse("http://[2001:DB8:0:0:1::1]").host).isEqualTo(a3)
  }

  @Test
  fun hostIpv6AddressLeadingCompression() {
    assertThat(parse("http://[::0001]").host).isEqualTo("::1")

        when:
        addToGraphAndPopulate(a, b)

        then:
        executionPlan.tasks as List == [a, finalizerDepDep, finalizerDep1, finalizer1, b, finalizerDep2, finalizer2]
        ordinalGroups == [0, null, 0, 0, 1, 1, 1]
        reachableFromEntryPoint == [true, false, false, false, true, false, false]
        assertTaskReady(a)
        assertTasksReady(finalizerDepDep, b)
        assertTasksReady(finalizerDep1, finalizerDep2)

      dilations: Sequence[int] = None,
      has_func_alias: bool = False,
  ):
    input_shape = (None, 3, 4, 3) if input_shape_dynamic else (1, 3, 4, 3)
    filter_shape = (2, 3, 3, 2)
    strides = (1, 1, 1, 1)
    model = self._create_conv2d_model(
        input_shape,
        filter_shape,
        self._input_saved_model_path,
        bias_fn,
        activation_fn,
        has_batch_norm,
        strides,