"18": {Tag: "tag18"},
	},
	MapP: map[string]*Small{
		"19": {Tag: "tag19"},
		"20": nil,
	},
	EmptyMap:    map[string]Small{},
	Slice:       []Small{{Tag: "tag20"}, {Tag: "tag21"}},
	SliceP:      []*Small{{Tag: "tag22"}, nil, {Tag: "tag23"}},
	EmptySlice:  []Small{},
	StringSlice: []string{"str24", "str25", "str26"},
	ByteSlice:   []byte{27, 28, 29},
	Small:       Small{Tag: "tag30"},

        readings2[1] = new String[] { "kensaku", "fuga" };
        String[] tags2 = new String[] { "tag3" };
        String[] roles2 = new String[] { SuggestConstants.DEFAULT_ROLE, "role4" };
        queryItems[1] = new SuggestItem(new String[] { "全文", "検索" }, readings2, new String[] { "content" }, 1, 0, -1, tags2, roles2, null,
                SuggestItem.Kind.DOCUMENT);

## Add ILM rules
./mc ilm add sitea/bucket --transition-days 0 --transition-tier WARM-TIER --transition-days 0 --noncurrent-expire-days 2 --expire-days 3 --prefix "myprefix" --tags "tag1=val1&tag2=val2"
./mc ilm rule list sitea/bucket

## Check ilm expiry flag
./mc admin replicate info sitea --json
flag1=$(./mc admin replicate info sitea --json | jq '.sites[0]."replicate-ilm-expiry"')

		}
	}
}

func TestEmbeddedTagSetting(t *testing.T) {
	type Tag1 struct {
		Id int64 `gorm:"autoIncrement"`
	}
	type Tag2 struct {
		Id int64
	}

	type EmbeddedTag struct {
		Tag1 Tag1 `gorm:"Embedded;"`
		Tag2 Tag2 `gorm:"Embedded;EmbeddedPrefix:t2_"`
		Name string
	}

	DB.Migrator().DropTable(&EmbeddedTag{})
	err := DB.Migrator().AutoMigrate(&EmbeddedTag{})

			objectTags:     "tag1=value1&tag2=value2",
			objectModTime:  time.Now().UTC().Add(-24 * time.Hour), // Created 1 day ago
			expectedAction: DeleteAction,
		},
		// Should remove (Multiple Rules, Tags match)
		{

optimization and deployment.

## C++ APIs

```bash
tf-to-stablehlo-translate \
    --input-path=/path/to/model \
    [--exported-model-signatures=signature1,signature2] \
    [--tag-names=tag1,tag2] \
    [--input-arg-shapes-str=arg-name:shape,...] \
    [--e] \
    [--output-filename=/path/to/output.mlir]
```

* `--input-path`: The path to the input TensorFlow SavedModel or MLIR module
  with .mlir extension.

		return p
	}
	return ""
}

// Tags - a rule can either have tag under <filter></filter> or under
// <filter><and></and></filter>. This method returns all the tags from the
// rule in the format tag1=value1&tag2=value2
func (r Rule) Tags() string {
	if !r.Filter.Tag.IsEmpty() {
		return r.Filter.Tag.String()
	}
	if len(r.Filter.And.Tags) != 0 {
		var buf bytes.Buffer
		for _, t := range r.Filter.And.Tags {

                    description = "hello"
                    tags = ["tag1", "tag2"]
                    myFiles = files("a/b/c")
                }
            }

            pluginDeclarations.all {
                assert it.id.get() == "my-id"
                assert it.description.get() == "hello"
                assert it.tags.get() == ["tag1", "tag2"]
                assert it.myFiles.files == files("a/b/c").files
            }

		{"TagPathError", Type, 0},
		{"TagPathError.Field1", Field, 0},
		{"TagPathError.Field2", Field, 0},
		{"TagPathError.Struct", Field, 0},
		{"TagPathError.Tag1", Field, 0},
		{"TagPathError.Tag2", Field, 0},
		{"Token", Type, 0},
		{"TokenReader", Type, 10},
		{"Unmarshal", Func, 0},
		{"UnmarshalError", Type, 0},
		{"Unmarshaler", Type, 2},
		{"UnmarshalerAttr", Type, 2},