Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         target.PostgresTable,
			Description: "DB table name to store/update events, table is auto-created",
			Type:        "string",
		},
		config.HelpKV{
			Key:         target.PostgresFormat,
			Description: formatComment,
			Type:        "namespace*|access",
		},

      var $submitButton = $("input#submit, button#submit");
      if ($submitButton.length > 0) {
        $submitButton.closest("form").trigger("submit");
      }
      return false;
    }
  });

  $(".table tr[data-href]").each(function() {
    var $row = $(this);
    $row.css("cursor", "pointer")
      .on("mouseenter", function() {
        $(this).addClass("active");
      })
      .on("mouseleave", function() {

@GwtCompatible
@NullMarked
public class HashBasedTableRowTest extends RowTests {
  public HashBasedTableRowTest() {
    super(false, true, true, true, true);
  }

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

}

func AssignmentColumns(values []string) Set {
	assignments := make([]Assignment, len(values))
	for idx, value := range values {
		assignments[idx] = Assignment{Column: Column{Name: value}, Value: Column{Table: "excluded", Name: value}}
	}
	return assignments
}

// Assignments implements Assigner for a single Assignment.

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）

      var $submitButton = $("input#submit, button#submit");
      if ($submitButton.length > 0) {
        $submitButton.closest("form").trigger("submit");
      }
      return false;
    }
  });

  $(".table tr[data-href]").each(function() {
    var $row = $(this);
    $row.css("cursor", "pointer")
      .on("mouseenter", function() {
        $(this).addClass("active");
      })
      .on("mouseleave", function() {

import java.io.IOException
import okio.Buffer
import okio.BufferedSink
import okio.BufferedSource
import okio.ByteString
import okio.ByteString.Companion.encodeUtf8
import okio.Options

/**
 * A decoded [mapping table] that can perform the [mapping step] of IDNA processing.
 *
 * This implementation is optimized for readability over efficiency.
 *
 * This implements non-transitional processing by preserving deviation characters.
 *

  }

  @Generates
  static <R, C, V> Table<R, C, V> generateTable(R row, C column, V value) {
    return generateHashBasedTable(row, column, value);
  }

  @Generates
  static <R, C, V> HashBasedTable<R, C, V> generateHashBasedTable(R row, C column, V value) {
    HashBasedTable<R, C, V> table = HashBasedTable.create();
    table.put(row, column, value);
    return table;
  }

@GwtIncompatible // TODO(hhchan): ArrayTable
@NullUnmarked
public class ArrayTableRowMapTest extends RowMapTests {
  public ArrayTableRowMapTest() {
    super(true, false, false, false);
  }

  @Override
  Table<String, Integer, Character> makeTable() {
    return ArrayTable.create(asList("foo", "bar", "dog"), asList(1, 2, 3));
  }

  @Override
  protected Map<String, Map<Integer, Character>> makeEmptyMap() {

efName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"search-term-rank","uiStateJSON":"{\"vis\":{\"params\":{\"sort\":{\"columnIndex\":null,\"direction\":null}}}}","version":1,"visState":"{\"title\":\"search-term-rank\",\"type\":\"table\",\"params\":{\"perPage\":10,\"showPartialRows\":false,\"showMetricsAtAllLevels\":false,\"sort\":{\"columnIndex\":null,\"direction\":null},\"showTotal\":false,\"totalFunc\":\"sum\",\"dimensions\":{\"metrics\":[{\"accessor\":0,\"format\":{\"id\":\"...