<?xml version="1.0" encoding="UTF-8"?>
<project name="deps" basedir=".">
	<property name="target.dir" value="${basedir}/target/deps" />
	<property name="webinf.dir" value="${basedir}/src/main/webapp/WEB-INF" />
	<property name="crawler.dir" value="${basedir}/src/main/webapp/WEB-INF/env/crawler" />
	<property name="suggest.dir" value="${basedir}/src/main/webapp/WEB-INF/env/suggest" />
	<property name="thumbnail.dir" value="${basedir}/src/main/webapp/WEB-INF/env/thumbnail" />

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    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = [
        ":c_api_macros",
        ":tf_shape_internal",
        "//tensorflow/core:framework",
    ],
)

cc_library(
    name = "tf_shape_internal",
    hdrs = ["tf_shape_internal.h"],
    copts = tf_copts(),
    visibility = ["//tensorflow:internal"],
    deps = [
        ":conversion_macros",
        "//tensorflow/core:framework",

        ArtifactDescriptorResult result = system.readArtifactDescriptor(session, request);

        List<Dependency> deps = result.getDependencies();
        assertEquals(2, deps.size());
        checkUtSimpleArtifactDependencies(deps.get(0), deps.get(1));
    }

    /**
     * check ut.simple:artifact:1.0 dependencies
     */

                List<Dependency> deps = new ArrayList<>();

                Plugin existing = plugins.get(key);
                if (existing != null) {
                    if (version == null) {
                        version = existing.getVersion();
                    }
                    execs.addAll(existing.getExecutions());
                    deps.addAll(existing.getDependencies());
                }

  # Find all one-step dependencies of those tests which are from //tensorflow
  # (since external deps will come from Python-level pip dependencies),
  # excluding dependencies and files that are known to be unneccessary.
  # This creates a list of targets under //tensorflow that are required for
  # TensorFlow python tests.

RUN ln -s /usr/lib/llvm-18/bin/clang /usr/bin/clang

# Install various tools.
# - bats: bash unit testing framework
# - bazelisk: always use the correct bazel version
# - buildifier: clean bazel build deps
# - buildozer: clean bazel build deps
# - gcloud SDK: communicate with Google Cloud Platform (GCP) for RBE, CI
# - patchelf: Utility tool to modify existing ELF executables and libraries

        dep2.setGroupId( "test" );
        dep2.setArtifactId( "test-artifact2" );
        dep2.setVersion( "1" );
        dep2.setType( "jar" );

        List<Dependency> deps = new ArrayList<>();
        deps.add( dep1 );
        deps.add( dep2 );

        ArtifactFactory factory = container.lookup( ArtifactFactory.class );

        ArtifactFilter dependencyFilter = new ScopeArtifactFilter( Artifact.SCOPE_COMPILE );

# - bats: bash unit testing framework
#         NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break
# - bazelisk: always use the correct bazel version
# - buildifier: clean bazel build deps
# - buildozer: clean bazel build deps
RUN git clone --branch v1.7.0 https://github.com/bats-core/bats-core.git && bats-core/install.sh /usr/local && rm -rf bats-core

Confira as dicas de anotação no código acima para ver mais detalhes específicos.

## Saiba Mais

Você também pode combinar `dataclasses` com outros modelos Pydantic, herdar deles, incluí-los em seus próprios modelos, etc.

Para saber mais, confira a <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/" class="external-link" target="_blank">documentação do Pydantic sobre dataclasses</a>.