t) p256OrdSqr(x, x, 32) p256OrdMul(x, x, t) sqrs := []int{ 6, 5, 4, 5, 5, 4, 3, 3, 5, 9, 6, 2, 5, 6, 5, 4, 5, 5, 3, 10, 2, 5, 5, 3, 7, 6} muls := []*p256OrdElement{ _101111, _111, _11, _1111, _10101, _101, _101, _101, _111, _101111, _1111, _1, _1, _1111, _111, _111, _111, _101, _11, _101111, _11, _11, _11, _1, _10101, _1111} for i, s := range sqrs { p256OrdSqr(x, x, s) p256OrdMul(x, x, muls[i]) } // Montgomery multiplication by R⁻¹, or 1 outside the domain as R⁻¹×R = 1, // converts a Montgomery value...

        api("org.jspecify:jspecify:1.0.0")
        api("commons-io:commons-io:2.14.0")
        api("org.apache.commons:commons-lang3:3.20.0")
        api("javax.activation:activation:1.1.1")
        api("jakarta.xml.bind:jakarta.xml.bind-api:4.0.2")
        api("com.sun.xml.bind:jaxb-impl:4.0.5")
        api("junit:junit:4.13.2")
        api("org.spockframework:spock-core:$spockVersion")

		{data2[:1536] + trash[:1], 1, io.ErrUnexpectedEOF},
		{data2[:1536] + trash[:511], 1, io.ErrUnexpectedEOF},
		{data2[:1536] + trash, 1, ErrHeader},
		{data2[:2048], 1, io.EOF}, // Exactly 1 empty block
		{data2[:2048] + trash[:1], 1, io.ErrUnexpectedEOF},
		{data2[:2048] + trash[:511], 1, io.ErrUnexpectedEOF},
		{data2[:2048] + trash, 1, ErrHeader},

			<version>${slf4j.version}</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.apache.ftpserver</groupId>
			<artifactId>ftpserver-core</artifactId>
			<version>1.1.1</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>commons-fileupload</groupId>
			<artifactId>commons-fileupload</artifactId>
			<version>1.6.0</version>
			<scope>test</scope>

    "linux" : 1031
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 1111
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.java.JavaIDETaskExecutionPerformanceTest.run compileJava via Tooling API",
  "durations" : [ {
    "testProject" : "largeAndroidBuild",
    "linux" : 1253

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

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

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

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

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

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

### 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:

- 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)

### 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: