"type": "string"
                    },
                    "type": {
                        "title": "Error Type",
                        "type": "string"
                    }
                }
            },
            "HTTPValidationError": {
                "title": "HTTPValidationError",
                "type": "object",
                "properties": {

	</main>
	<jsp:include page="../footer.jsp" />
	<input type="hidden" id="contextPath" value="${pageContext.request.contextPath}" />
	<script type="text/javascript"
		src="${fe:url('/js/jquery-3.7.1.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/bootstrap.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/suggestor.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/search.js')}"></script>

title: "x/pkgsite: issue title"
labels: ["pkgsite"]
body:
  - type: markdown
    attributes:
      value: "Please answer these questions before submitting your issue. Thanks!"
  - type: input
    id: url
    attributes:
      label: "What is the URL of the page with the issue?"
    validations:
      required: true
  - type: input
    id: user-agent
    attributes:
      label: "What is your user agent?"

```

////

This will make `tags` be a list, although it doesn't declare the type of the elements of the list.

## List fields with type parameter

But Python has a specific way to declare lists with internal types, or "type parameters":

### Import typing's `List`

In Python 3.9 and above you can use the standard `list` to declare these type annotations as we'll see below. 💡

<link href="${fe:url('/css/admin/bootstrap.min.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/font-awesome.min.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/adminlte.min.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/style.css')}" rel="stylesheet" type="text/css" />
<!--[if lt IE 9]>
<script src="${fe:url('/css/admin/html5shiv.min.js')}"></script>

	"gorm.io/gorm/clause"
	"gorm.io/gorm/utils"
)

// special types' reflect type
var (
	TimeReflectType    = reflect.TypeOf(time.Time{})
	TimePtrReflectType = reflect.TypeOf(&time.Time{})
	ByteReflectType    = reflect.TypeOf(uint8(0))
)

type (
	// DataType GORM data type
	DataType string
	// TimeType GORM time type
	TimeType int64
)

// GORM time types
const (
	UnixTime        TimeType = 1

# Python Types Intro

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

// client during CompleteMultipartUpload request.
type CompleteMultipartUpload struct {
	Parts []CompletePart `xml:"Part"`
}

// NewMultipartUploadResult contains information about a newly created multipart upload.
type NewMultipartUploadResult struct {
	UploadID     string
	ChecksumAlgo string
}

type getObjectAttributesResponse struct {

                        "type": "string"
                    },
                    "type": {
                        "title": "Error Type",
                        "type": "string"
                    }
                }
            },
            "HTTPValidationError": {
                "title": "HTTPValidationError",
                "type": "object",
                "properties": {

	"github.com/tinylib/msgp/msgp"
	"github.com/zeebo/xxh3"
)

// Op is operation type.
//
//go:generate msgp -unexported -file=$GOFILE
//go:generate stringer -type=Op -output=msg_string.go -trimprefix=Op $GOFILE

// Op is operation type messages.
type Op uint8

// HandlerID is the ID for the handler of a specific type.
type HandlerID uint8

const (
	// OpConnect is a connect request.
	OpConnect Op = iota + 1