apply plugin: 'maven-publish'

            group = 'group'
            version = '1.0'

            def comp = new TestComponent()
            def attr1 = Attribute.of('custom', String)
            def attr2 = Attribute.of('nice', Boolean)

            comp.usages.add(new TestUsage(
                    name: 'api',
                    usage: objects.named(Usage, 'api'),

		t.Errorf("user should be initialized with search value and assign attrs")
	}

	DB.Save(&User{Name: "find or init", Age: 33})
	DB.Where(&User{Name: "find or init"}).Attrs("age", 44).FirstOrInit(&user5)
	if user5.Name != "find or init" || user5.ID == 0 || user5.Age != 33 {
		t.Errorf("user should be found and not initialized by Attrs")
	}

	DB.Where(&User{Name: "find or init", Age: 33}).FirstOrInit(&user6)

      GetNodeAttr(op.node()->attrs(), "begin_mask", &begin_mask));
  TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "end_mask", &end_mask));
  TF_RETURN_IF_ERROR(
      GetNodeAttr(op.node()->attrs(), "ellipsis_mask", &ellipsis_mask));
  TF_RETURN_IF_ERROR(
      GetNodeAttr(op.node()->attrs(), "new_axis_mask", &new_axis_mask));
  TF_RETURN_IF_ERROR(
      GetNodeAttr(op.node()->attrs(), "shrink_axis_mask", &shrink_axis_mask));

func StartProcess(argv0 string, argv []string, attr *ProcAttr) (pid int, handle uintptr, err error) {
	if len(argv0) == 0 {
		return 0, 0, EWINDOWS
	}
	if attr == nil {
		attr = &zeroProcAttr
	}
	sys := attr.Sys
	if sys == nil {
		sys = &zeroSysProcAttr
	}

	if len(attr.Files) > 3 {
		return 0, 0, EWINDOWS
	}
	if len(attr.Files) < 3 {
		return 0, 0, EINVAL
	}

		{name: "429s retry", attr: aliceAttr, allow: false, statusCode: 429, expectedErr: true, expectedAuthorized: false, expectedCalls: 5},
		// regular errors return errors but do not retry
		{name: "404 doesnt retry", attr: aliceAttr, allow: false, statusCode: 404, expectedErr: true, expectedAuthorized: false, expectedCalls: 1},

  let description = [{
    The CreateOp creates the tensorflow::OpKernel in the fallback context.
  }];

  let arguments = (ins
    StrAttr:$node_def,
    I32Attr:$op_key
  );

  let assemblyFormat = "attr-dict";
}

def ConstOp: TensorflowMlrt_Op<"constop", []> {
  let summary = "The tf_mlrt ConstOp";

  let description = [{
    The ConstOp creates a constant tensorflow::Tensor from serialized proto.
  }];

    const float ratio_threshold) {
  ElementsAttr attr;
  ShapedType type;
  InspectResult result = {};
  if (auto cst = dyn_cast<ConstOp>(inst)) {
    attr = cst.getValue();
    type = mlir::cast<ShapedType>(cst.getType());
  } else if (auto cst = dyn_cast<QConstOp>(inst)) {
    attr = cst.getValue();
    type = mlir::cast<ShapedType>(cst.getType());
  } else {

func shouldCache(attr authorizer.Attributes) bool {
	controlledAttrSize := int64(len(attr.GetNamespace())) +
		int64(len(attr.GetVerb())) +
		int64(len(attr.GetAPIGroup())) +
		int64(len(attr.GetAPIVersion())) +
		int64(len(attr.GetResource())) +
		int64(len(attr.GetSubresource())) +
		int64(len(attr.GetName())) +
		int64(len(attr.GetPath()))

                                    ops::Placeholder::Attrs{});
  Output shape_b = ops::Placeholder(s.WithOpName("shape_b"), DT_INT32,
                                    ops::Placeholder::Attrs{});
  Output shape = ops::Add(s.WithOpName("shape"), shape_a, shape_b);

  Output reshape_input = ops::Placeholder(s.WithOpName("reshape_input"),
                                          DT_FLOAT, ops::Placeholder::Attrs{});

ldap.attr.postalAddress=postalAddress
ldap.attr.city=l
ldap.attr.teletexTerminalIdentifier=teletexTerminalIdentifier
ldap.attr.x121Address=x121Address
ldap.attr.businessCategory=businessCategory
ldap.attr.registeredAddress=registeredAddress
ldap.attr.displayName=displayName
ldap.attr.preferredLanguage=preferredLanguage
ldap.attr.departmentNumber=departmentNumber
ldap.attr.uidNumber=uidNumber
ldap.attr.gidNumber=gidNumber