case len(entities.UserMappings) != 1:
			c.Fatalf("Expected to find exactly one user mapping")
		case entities.UserMappings[0].User != testCase.expectedOutDN:
			c.Fatalf("Expected user DN `%s`, found `%s`", testCase.expectedOutDN, entities.UserMappings[0].User)
		case len(entities.UserMappings[0].Policies) != 1:
			c.Fatalf("Expected exactly one policy attached to user")
		case entities.UserMappings[0].Policies[0] != policy:

			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",
			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",
			"INSERT INTO `users` (`created_at`,`updated_at`,`deleted_at`,`name`,`age`,`birthday`,`company_id`,`manager_id`,`active`) VALUES (?,?,?,?,?,?,?,?,?)",
			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",

    /**
     * This specialized method returns a Map of users and local groups for the
     * target server where keys are SIDs representing an account and each value
     * is an ArrayList of SIDs represents the local groups that the account is
     * a member of.
     *
     * This method is designed to assist with computing access control for a
     * given user when the target object's ACL has local groups. Local groups

Shinsuke Sugaya <******@****.***> 1638450896 +0900

			if _, ok := cleanQ.Users[user]; !ok {
				cleanQ.Users[user] = nil
			}
		}

		// Validate and normalize groups.
		for _, group := range q.Groups {
			lookupRes, underDN, _ := sys.LDAPConfig.GetValidatedGroupDN(nil, group)
			if lookupRes != nil && underDN {
				cleanQ.Groups.Add(lookupRes.NormDN)
			}
		}
	} else {
		for _, user := range q.Users {
			info, err := sys.store.GetUserInfo(user)

///

### About `**user_in.dict()` { #about-user-in-dict }

#### Pydantic's `.dict()` { #pydantics-dict }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

# OpenAPI Webhooks { #openapi-webhooks }

There are cases where you want to tell your API **users** that your app could call *their* app (sending a request) with some data, normally to **notify** of some type of **event**.

This means that instead of the normal process of your users sending requests to your API, it's **your API** (or your app) that could **send requests to their system** (to their API, their app).

This is normally called a **webhook**.

				},
			},
			sql: "INNER JOIN `user` USING (`id`)",
		},
	}
	for _, result := range results {
		t.Run(result.name, func(t *testing.T) {
			user, _ := schema.Parse(&tests.User{}, &sync.Map{}, db.NamingStrategy)
			stmt := &gorm.Statement{DB: db, Table: user.Table, Schema: user, Clauses: map[string]clause.Clause{}}
			result.join.Build(stmt)
			if result.sql != stmt.SQL.String() {

        User user1 = createTestUser("user1", "User One");
        User user2 = createTestUser("user2", "User Two");
        User user3 = createTestUser("user3", "User Three");

        chain.update(user1);
        chain.update(user2);
        chain.update(user3);

        assertEquals(3, chain.updateCalls.size());
        assertEquals(user1, chain.updateCalls.get(0));

			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? OR `name` <> ? AND `age` > ?",
			[]interface{}{"1", "jinzhu", 18},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Where{
				Exprs: []clause.Expression{clause.Or(clause.Eq{Column: clause.PrimaryColumn, Value: "1"}), clause.Or(clause.Neq{Column: "name", Value: "jinzhu"})},
			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? OR `name` <> ?",