}

  @Override
  Table<String, Character, Integer> makeTable() {
    Table<String, Character, Integer> table = HashBasedTable.create();
    return transformValues(table, DIVIDE_BY_2);
  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    Table<String, Character, Integer> table = HashBasedTable.create();
    table.put("one", 'a', 1);
    table.put("two", 'a', 2);
    table.put("three", 'a', 3);

  }

  @Override
  Table<Character, String, Integer> makeTable() {
    RowSortedTable<Character, String, Integer> table = TreeBasedTable.create();
    return unmodifiableRowSortedTable(table);
  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    RowSortedTable<Character, String, Integer> table = TreeBasedTable.create();
    table.put('a', "one", 1);
    table.put('a', "two", 2);

  }

  @Override
  Table<Integer, String, Character> makeTable() {
    Table<Integer, String, Character> original = HashBasedTable.create();
    return unmodifiableTable(original);
  }

  @Override
  protected Map<String, Map<Integer, Character>> makePopulatedMap() {
    Table<Integer, String, Character> table = HashBasedTable.create();
    table.put(1, "foo", 'a');
    table.put(1, "bar", 'b');

  }

  @Override
  Table<Integer, String, Character> makeTable() {
    RowSortedTable<Integer, String, Character> original = TreeBasedTable.create();
    return unmodifiableRowSortedTable(original);
  }

  @Override
  protected Map<String, Map<Integer, Character>> makePopulatedMap() {
    RowSortedTable<Integer, String, Character> table = TreeBasedTable.create();
    table.put(1, "foo", 'a');
    table.put(1, "bar", 'b');

  }

  @Override
  Table<Character, String, Integer> makeTable() {
    Table<Character, String, Integer> table = HashBasedTable.create();
    return unmodifiableTable(table);
  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    Table<Character, String, Integer> table = HashBasedTable.create();
    table.put('a', "one", 1);
    table.put('a', "two", 2);
    table.put('a', "three", 3);

匯入 `SQLModel` 並建立一個資料庫模型：

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

`Hero` 類別與 Pydantic 模型非常相似（事實上，在底層它就是一個 Pydantic 模型）。

有幾點差異：

* `table=True` 告訴 SQLModel 這是一個「資料表模型」（table model），它應該代表 SQL 資料庫中的一個資料表，而不僅僅是「資料模型」（就像一般的 Pydantic 類別）。

* `Field(primary_key=True)` 告訴 SQLModel，`id` 是 SQL 資料庫中的「主鍵」。 （你可以在 SQLModel 文件中進一步了解 SQL 主鍵）

Hay mucho trabajo por hacer, y para la mayoría de ello, **TÚ** puedes hacerlo.

Las tareas principales que puedes hacer ahora son:

* [Ayudar a otros con preguntas en GitHub](#help-others-with-questions-in-github) (ver la sección arriba).
* [Revisar Pull Requests](#review-pull-requests) (ver la sección arriba).

Esas dos tareas son las que **consumen más tiempo**. Ese es el trabajo principal de mantener FastAPI.

#              , EmptyString, FromTo, DateFromTo, RangeOf, ...
#              , (and prefix '!' means excluding, '%' means reviving)
# table: table name (hint) or $$ALL$$
# column: column name (hint) or $$CommonColumn$$ or $$VersionNo$$
#
# Example:
# map:{
#     # This means that String includes GreaterThan at MEMBER.MEMBER_ACCOUNT only
#     # and LessThan at PRODUCT.PRODUCT_NAME and PRODUCT.PRODUCT_HANDLE_CODE,

	newDB := DB.Session(&gorm.Session{NewDB: true, DryRun: true}).Table("users")

	newDB.Clauses(
		clause.From{
			Tables: []clause.Table{{Name: "users"}},
			Joins: []clause.Join{
				{
					Table: clause.Table{Name: "companies", Raw: false},
					ON: clause.Where{
						Exprs: []clause.Expression{
							clause.Eq{
								Column: clause.Column{
									Table: "users",
									Name:  "company_id",
								},

  - pymdownx.inlinehilite
  - pymdownx.magiclink
  - pymdownx.smartsymbols
  - pymdownx.superfences
  - pymdownx.tilde
  - pymdownx.tabbed:
      alternate_style: true
  - tables

plugins:
  - search
  - redirects:
      redirect_maps:
        # Redirect all feature pages to features/*
        'caching.md': 'features/caching.md'
        'calls.md': 'features/calls.md'