name = performanceTestProject.name + " (Trigger)"

            val os = Os.LINUX
            val type = performanceTestSpec.type

            applyDefaultSettings(os)
            params {
                text(
                    "reverse.dep.*.performance.baselines",
                    type.defaultBaselines,
                    display = ParameterDisplay.PROMPT,
                    allowEmpty = true,

<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>

# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

package clause

import "gorm.io/gorm/utils"

type JoinType string

const (
	CrossJoin JoinType = "CROSS"
	InnerJoin JoinType = "INNER"
	LeftJoin  JoinType = "LEFT"
	RightJoin JoinType = "RIGHT"
)

type JoinTarget struct {
	Type        JoinType
	Association string
	Subquery    Expression
	Table       string
}

func Has(name string) JoinTarget {
	return JoinTarget{Type: InnerJoin, Association: name}
}

   */
  public static <T> Class<T> wrap(Class<T> type) {
    checkNotNull(type);

    // cast is safe: long.class and Long.class are both of type Class<Long>
    @SuppressWarnings("unchecked")
    Class<T> wrapped = (Class<T>) PRIMITIVE_TO_WRAPPER_TYPE.get(type);
    return (wrapped == null) ? type : wrapped;
  }

  /**
   * Returns the corresponding primitive type of {@code type} if it is a wrapper type; otherwise

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 { #list-fields-with-type-parameter }

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

### Import typing's `List` { #import-typings-list }

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

pkg io/fs, method (FileMode) Type() FileMode
pkg io/fs, type DirEntry interface { Info, IsDir, Name, Type }
pkg io/fs, type DirEntry interface, Info() (FileInfo, error)
pkg io/fs, type DirEntry interface, IsDir() bool
pkg io/fs, type DirEntry interface, Name() string
pkg io/fs, type DirEntry interface, Type() FileMode
pkg io/fs, type FS interface { Open }
pkg io/fs, type FS interface, Open(string) (File, error)

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

		return &sps
	}
	return s
}

type Roles []string

type Job struct {
	Title    string
	Number   int
	Location string
	IsIntern bool
}

type EncryptedString string

func (es *EncryptedString) Scan(ctx context.Context, field *schema.Field, dst reflect.Value, dbValue interface{}) (err error) {
	switch value := dbValue.(type) {
	case []byte: