assertNull(restriction.getUpperBound(), CHECK_UPPER_BOUND);
        assertFalse(restriction.isUpperBoundInclusive(), CHECK_UPPER_BOUND_INCLUSIVE);

        range1 = VersionRange.createFromVersionSpec("(,1.1), (1.1,)");
        range2 = VersionRange.createFromVersionSpec("1.1");
        mergedRange = range1.restrict(range2);
        assertNull(mergedRange.getRecommendedVersion(), CHECK_VERSION_RECOMMENDATION);

### Criar Modelos { #create-models }

Importe o `SQLModel` e crie um modelo de banco de dados:

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

A classe `Hero` é muito semelhante a um modelo Pydantic (na verdade, por baixo dos panos, ela *é um modelo Pydantic*).

Existem algumas diferenças:

pkg debug/elf, const R_ARM_TLS_GD32 = 104
pkg debug/elf, const R_ARM_TLS_GD32 R_ARM
pkg debug/elf, const R_ARM_TLS_GOTDESC = 90
pkg debug/elf, const R_ARM_TLS_GOTDESC R_ARM
pkg debug/elf, const R_ARM_TLS_IE12GP = 111
pkg debug/elf, const R_ARM_TLS_IE12GP R_ARM
pkg debug/elf, const R_ARM_TLS_IE32 = 107
pkg debug/elf, const R_ARM_TLS_IE32 R_ARM
pkg debug/elf, const R_ARM_TLS_LDM32 = 105
pkg debug/elf, const R_ARM_TLS_LDM32 R_ARM

    testRotate(new int[] {}, 0, 0, 0, new int[] {});

    testRotate(new int[] {1}, 0, 0, 1, new int[] {1});
    testRotate(new int[] {1}, 1, 0, 1, new int[] {1});
    testRotate(new int[] {1}, 1, 1, 1, new int[] {1});

    // Rotate the central 5 elements, leaving the ends as-is
    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, -6, 1, 6, new int[] {0, 2, 3, 4, 5, 1, 6});

    rangeSet.add(Range.closed(3, 10));
    rangeSet.addAll(asList(Range.open(1, 3), Range.closed(5, 8), Range.closed(9, 11)));
    assertThat(rangeSet.asRanges()).containsExactly(Range.openClosed(1, 11)).inOrder();
  }

  public void testRemoveAll() {
    RangeSet<Integer> rangeSet = TreeRangeSet.create();
    rangeSet.add(Range.closed(3, 10));

  static final double OTHER_MANY_VALUES_MEAN = (1.11 - 2.22 + 33.3333 - 44.4444 + 555.555555) / 5;

  static final double MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS =
      (1.1 - MANY_VALUES_MEAN) * (1.11 - OTHER_MANY_VALUES_MEAN)
          + (-44.44 - MANY_VALUES_MEAN) * (-2.22 - OTHER_MANY_VALUES_MEAN)
          + (33.33 - MANY_VALUES_MEAN) * (33.3333 - OTHER_MANY_VALUES_MEAN)

### Создание моделей { #create-models }

Импортируйте `SQLModel` и создайте модель базы данных:

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

Класс `Hero` очень похож на модель Pydantic (фактически, под капотом, это и есть модель Pydantic).

Есть несколько отличий:

- github.com/opencontainers/runtime-spec: [494a5a6 → v1.2.0](https://github.com/opencontainers/runtime-spec/compare/494a5a6...v1.2.0)
- github.com/opencontainers/selinux: [v1.11.0 → v1.11.1](https://github.com/opencontainers/selinux/compare/v1.11.0...v1.11.1)
- github.com/stoewer/go-strcase: [v1.2.0 → v1.3.0](https://github.com/stoewer/go-strcase/compare/v1.2.0...v1.3.0)

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BatchJobExpire) Msgsize() (s int) {
	s = 1 + 11 + msgp.StringPrefixSize + len(z.APIVersion) + 7 + msgp.StringPrefixSize + len(z.Bucket) + 7 + z.Prefix.Msgsize() + 16 + z.NotificationCfg.Msgsize() + 6 + z.Retry.Msgsize() + 6 + msgp.ArrayHeaderSize
	for za0001 := range z.Rules {

- github.com/opencontainers/runtime-spec: [v1.2.0 → v1.2.1](https://github.com/opencontainers/runtime-spec/compare/v1.2.0...v1.2.1)
- github.com/opencontainers/selinux: [v1.11.1 → v1.13.0](https://github.com/opencontainers/selinux/compare/v1.11.1...v1.13.0)
- github.com/prometheus/client_golang: [v1.22.0 → v1.23.2](https://github.com/prometheus/client_golang/compare/v1.22.0...v1.23.2)