key="labels.key_match_size"/></label>
                                    <div class="form-inline col-sm-9">
                                        <la:errors property="maxSize"/>
                                        <input type="number" name="maxSize" id="maxSize"

### Create an Engine { #create-an-engine }

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

You would have **one single `engine` object** for all your code to connect to the same database.

* ⬆ [pre-commit.ci] pre-commit autoupdate. PR [#13656](https://github.com/fastapi/fastapi/pull/13656) by [@pre-commit-ci[bot]](https://github.com/apps/pre-commit-ci).
* ✅ Use `inline-snapshot` to support different Pydantic versions in the test suite. PR [#12534](https://github.com/fastapi/fastapi/pull/12534) by [@15r10nk](https://github.com/15r10nk).

	j = 0
	for lineNum := 0; s.Scan(); lineNum++ {
		genLine(tmp, lineNum, j, false)
		if j < smallMaxTokenSize {
			j++
		} else {
			j--
		}
		line := tmp.String() // We use the string-valued token here, for variety.
		if s.Text() != line {
			t.Errorf("%d: bad line: %d %d\n%.100q\n%.100q\n", lineNum, len(s.Bytes()), len(line), s.Text(), line)
		}
	}
	err := s.Err()
	if err != nil {
		t.Fatal(err)

### Criar um Engine
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

Você teria **um único objeto `engine`** para todo o seu código se conectar ao mesmo banco de dados.

    // Search Engine Type Constants
    // ============================================================

    /** Cloud-based search engine type. */
    public static final String FESEN_TYPE_CLOUD = "cloud";

    /** AWS-based search engine type. */
    public static final String FESEN_TYPE_AWS = "aws";

    /** Search engine username configuration key. */

  api(libs.squareup.kotlinPoet)
  testImplementation(libs.assertk)
  testImplementation(libs.junit.jupiter.api)
  testImplementation(libs.junit.jupiter.params)

  testImplementation(rootProject.libs.junit.jupiter.engine)
}

animalsniffer {
  isIgnoreFailures = true

   * semicolon</a>, rather than the ampersand, as a parameter delimiter. Nevertheless, we recommend
   * using the ampersand unless you must interoperate with systems that require semicolons.
   *
   * <p><b>Note:</b> Unlike other escapers, URL escapers produce <a
   * href="https://url.spec.whatwg.org/#percent-encode">uppercase</a> hexadecimal sequences.
   *
   */
  public static Escaper urlFormParameterEscaper() {

     * The template is evaluated using the specified script engine with the value and context.
     *
     * @param dataMap the data map to modify
     * @param key the key to store the processed value under
     * @param value the original value to process
     * @param template the template script to evaluate
     * @param scriptType the type of script engine to use
     */

                                            key="labels.sortOrder"/></label>
                                    <div class="form-inline col-sm-9">
                                        <la:errors property="sortOrder"/>
                                        <input type="number" name="sortOrder" id="sortOrder"