error string // Empty means no error.
}

var badExprTests = []badExprTest{
	{"0/0", "division by zero"},
	{"3/0", "division by zero"},
	{"(1<<63)/0", "divide of value with high bit set"},
	{"3%0", "modulo by zero"},
	{"(1<<63)%0", "modulo of value with high bit set"},
	{"3<<-4", "negative left shift count"},
	{"3<<(1<<63)", "negative left shift count"},
	{"3>>-4", "negative right shift count"},
	{"3>>(1<<63)", "negative right shift count"},

constraints.LuhnCheck.message               = The check digit for ${value} is invalid, Luhn Modulo 10 checksum failed.
constraints.Mod10Check.message              = The check digit for ${value} is invalid, Modulo 10 checksum failed.
constraints.Mod11Check.message              = The check digit for ${value} is invalid, Modulo 11 checksum failed.

constraints.LuhnCheck.message               = The check digit for ${value} is invalid, Luhn Modulo 10 checksum failed.
constraints.Mod10Check.message              = The check digit for ${value} is invalid, Modulo 10 checksum failed.
constraints.Mod11Check.message              = The check digit for ${value} is invalid, Modulo 11 checksum failed.

constraints.LuhnCheck.message               = The check digit for ${value} is invalid, Luhn Modulo 10 checksum failed.
constraints.Mod10Check.message              = The check digit for ${value} is invalid, Modulo 10 checksum failed.
constraints.Mod11Check.message              = The check digit for ${value} is invalid, Modulo 11 checksum failed.

constraints.Mod10Check.message              = Le chiffre de contrôle pour ${value} est invalide, la somme de contrôle Modulo 10 a échoué.
constraints.Mod11Check.message              = Le chiffre de contrôle pour ${value} est invalide, la somme de contrôle Modulo 11 a échoué.

## Modelos aninhados

Cada atributo de um modelo Pydantic tem um tipo.

Mas esse tipo pode ser outro modelo Pydantic.

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo

Por exemplo, nós podemos definir um modelo `Image`:

```Python hl_lines="9-11"

constraints.Email.message = {item} は正しいメールアドレスではありません。
constraints.Length.message = {item} の長さは {min} から {max} の範囲にしてください。
constraints.LuhnCheck.message = {value} の Luhn Modulo 11 チェックサムが正しくありません。
constraints.Mod10Check.message = {value} の Modulo 10 チェックサムが正しくありません。
constraints.Mod11Check.message = {value} の Modulo 11 チェックサムが正しくありません。
constraints.ModCheck.message = {value} の {modType} チェックサムが正しくありません。
constraints.NotBlank.message = {item} は未入力です。

      assertEquivalent(expectedResult, collector.finisher().apply(finalAccum));
    }
  }

  private void assertEquivalent(R expected, R actual) {
    assertTrue(
        "Expected " + expected + " got " + actual + " modulo equivalence " + equivalence,
        equivalence.test(expected, actual));
  }

    /** The key of the message: The check digit for ${value} is invalid, Luhn Modulo 10 checksum failed. */
    public static final String CONSTRAINTS_LuhnCheck_MESSAGE = "{constraints.LuhnCheck.message}";

    /** The key of the message: The check digit for ${value} is invalid, Modulo 10 checksum failed. */
    public static final String CONSTRAINTS_Mod10Check_MESSAGE = "{constraints.Mod10Check.message}";

                                  minimum: 0
                                  type: integer
                                ringHash:
                                  description: The ring/modulo hash load balancer
                                    implements consistent hashing to backend hosts.
                                  properties:
                                    minimumRingSize: