*/
public class GradleVersions {

    private GradleVersions() {
    }

    // We moved the API back into internal, so this isn't really correct.
    public static final String SUPPORTS_DEPLOYMENT_REGISTRY = ">=4.2";

// CHECK: return %[[DEQUANT]] : tensor<1x3x3x4xf32>

  // The following uniform_quantize & uniform_dequantize functions do NOT have
  // the correct body. Only the type signatures matter for testing.
  func.func private @uniform_quantize_0(%arg0: tensor<1x3x3x4xf32>, %arg1: tensor<1x1x1x1xf32>, %arg2: tensor<1x1x1x1xi8>) -> tensor<1x3x3x4xi8> {

func.func @device_test(
    %arg0: tensor<3x1xf32> {tf_saved_model.index_path = [0]},
    %arg1: tensor<1x3xf32> {tf_saved_model.index_path = [0]})
      -> (tensor<3x3xf32> {tf_saved_model.index_path = []}) {
  // CHECK: {{%.*}} = corert.get_op_handler %arg0 "/device:GPU:0"

	alt := func(m ...filterMatch) filterMatch { return alternationMatch(m) }
	testCases := []struct {
		pattern string
		result  filterMatch
	}{
		// Correct patterns
		// If a regexp pattern is correct, all split regexps need to be correct
		// as well.
		{"", res("")},
		{"/", res("", "")},
		{"//", res("", "", "")},
		{"A", res("A")},
		{"A/B", res("A", "B")},
		{"A/B/", res("A", "B", "")},

    def setup() {
        settingsFile << plugin.pluginManagement() << plugin.plugins()
        plugin.publishDummyPlugin(executer)
    }

    def "required services are correct"() {
        given:
        buildFile << """
            def serviceRef = gradle.extensions.serviceRef
            task check {
                doLast {
                    def service = serviceRef.get()

		t.Errorf("Count() method should get correct value, expect: %v, got %v", count, len(users))
	}

	if err := DB.Model(&User{}).Where("name = ?", user1.Name).Or("name = ?", user3.Name).Count(&count).Find(&users).Error; err != nil {
		t.Errorf(fmt.Sprintf("Count should work, but got err %v", err))
	}

	if count != int64(len(users)) {
		t.Errorf("Count() method should get correct value, expect: %v, got %v", count, len(users))
	}

include "mlir/Pass/PassBase.td"

def VerifyInputDialectToExecutorPass : Pass<"verify-input-dialect-to-executor-pass", "mlir::func::FuncOp"> {
  let summary = "Verify that TF dialect to executor converter receives the correct input.";
  let description = [{
    Verifies the input before exporting to TF executor. This includes checking whether the Ops are in TF functional, have device attributes & there are no tf_device.cluster_func ops.
  }];

    }

    @LeaksFileHandles
    @UsesSample("artifacts/defineRepository")
    def "can use repositories notation with #dsl dsl"() {
        // This test is not very strong. Its main purpose is to the for the correct syntax as we use many
        // code snippets from this build script in the user's guide.
        executer.inDirectory(sample.dir.file(dsl))

        expect:
        succeeds('lookup')

        where:

namespace mlir {
namespace quant {

// Copied from tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc.
// By removing identity ops, constant operands with dynamic shapes have static
// shape information which is necessary for correct pattern matching in this
// pass.
struct RemoveIdentity : public OpRewritePattern<TF::IdentityOp> {
  using OpRewritePattern<TF::IdentityOp>::OpRewritePattern;

  LogicalResult matchAndRewrite(TF::IdentityOp identity,

	if transportName != "tcp" {
		t.Errorf("extractTransportname: Could not extract correct iface.transport_name 'tcp', got %s", transportName)
	}
	transportName = extractTransportname(fakeIscsiadmOutput[1])
	if transportName != "cxgb4i" {
		t.Errorf("extractTransportname: Could not extract correct iface.transport_name 'cxgb4i', got %s", transportName)
	}
	transportName = extractTransportname(fakeIscsiadmOutput[2])