@Override
    public MetadataGenerator newInstance(RepositorySystemSession session, DeployRequest request) {
        return new RemoteSnapshotMetadataGenerator(session, request);
    }

    @Override
    public float getPriority() {
        return 30; // GAV level metadata should be deployed 1st MD
    }

    @Override
    public MetadataGenerator newInstance(RepositorySystemSession session, DeployRequest request) {
        return new VersionsMetadataGenerator(session, request);
    }

    @Override
    public float getPriority() {
        return 20; // GA level metadata should be deployed 2nd MD
    }

                            <la:message key="labels.dict_protwords_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/dict">
                                <la:message key="labels.dict_list_link"/>
                            </la:link></li>

    /**
     * Sets the prefix match weight.
     * @param prefixMatchWeight The prefix match weight.
     * @return This builder instance.
     */
    public SuggestRequestBuilder setPrefixMatchWeight(final float prefixMatchWeight) {
        request.setPrefixMatchWeight(prefixMatchWeight);
        return this;
    }

    /**
     * Sets whether to match the first word.

Python tiene soporte para "anotaciones de tipos" opcionales (también llamadas "type hints").

Estas **"anotaciones de tipos"** o type hints son una sintaxis especial que permite declarar el <dfn title="por ejemplo: str, int, float, bool">tipo</dfn> de una variable.

Al declarar tipos para tus variables, los editores y herramientas te pueden proporcionar un mejor soporte.

O Python possui suporte para "type hints" opcionais (também chamados de "type annotations").

Esses **"type hints"** ou anotações são uma sintaxe especial que permite declarar o <dfn title="por exemplo: str, int, float, bool">tipo</dfn> de uma variável.

Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.

            false, "Boolean", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnBoost = cci("boost", "boost", null, null, Float.class, "boost", null, false, false, false, "Float", 0,
            0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnConfigParameter = cci("configParameter", "configParameter", null, null, String.class,

        if (read(tmp, 0, 8) < 0) {
            throw new SmbException("EOF");
        }
        return Encdec.dec_uint64be(tmp, 0);
    }

    @Override
    public final float readFloat() throws SmbException {
        if (read(tmp, 0, 4) < 0) {
            throw new SmbException("EOF");
        }
        return Encdec.dec_floatbe(tmp, 0);
    }

    @Override

        private String testQuery = "test";
        private ReadingConverter testReadingConverter;
        private Normalizer testNormalizer;
        private float testPrefixMatchWeight = 2.0f;
        private boolean testMatchWordFirst = true;

        @Override
        public void setReadingConverter(ReadingConverter readingConverter) {

# Python 类型提示简介 { #python-types-intro }

Python 支持可选的“类型提示”（也叫“类型注解”）。

这些“类型提示”或注解是一种特殊语法，用来声明变量的<dfn title="例如：str、int、float、bool">类型</dfn>。

通过为变量声明类型，编辑器和工具可以为你提供更好的支持。

这只是一个关于 Python 类型提示的快速入门/复习。它只涵盖与 **FastAPI** 一起使用所需的最少部分...实际上非常少。

**FastAPI** 完全基于这些类型提示构建，它们带来了许多优势和好处。

但即使你从不使用 **FastAPI**，了解一些类型提示也会让你受益。

/// note | 注意

如果你已经是 Python 专家，并且对类型提示了如指掌，可以跳到下一章。

///

## 动机 { #motivation }