org/apache/maven/plugin/AbstractMojo.class package org.apache.maven.plugin; public abstract synchronized class AbstractMojo implements Mojo, ContextEnabled { private logging.Log log; private java.util.Map pluginContext; public void AbstractMojo(); public void setLog(logging.Log); public logging.Log getLog(); public java.util.Map getPluginContext(); public void setPluginContext(java.util.Map); } org/apache/maven/plugin/AbstractMojoExecutio.class package org.apache.maven.plugin; public abstract synchronized class...

     *            plugin repositories.
     * @return This request, never {@code null}.
     */
    PluginVersionRequest setPom(Model pom);

    /**
     * Gets the remote repositories to use.
     *
     * @return The remote repositories to use, never {@code null}.
     */
    List<RemoteRepository> getRepositories();

    /**

     *            plugin repositories.
     * @return This request, never {@code null}.
     */
    PluginPrefixRequest setPom(Model pom);

    /**
     * Gets the remote repositories to use.
     *
     * @return The remote repositories to use, never {@code null}.
     */
    List<RemoteRepository> getRepositories();

    /**

                               const Tensor& variable_value,
                               NodeDef* const_node) {
  const_node->set_name(variable_node.name());
  const_node->set_op("Const");
  (*const_node->mutable_attr())["dtype"] = variable_node.attr().at("dtype");
  variable_value.AsProtoTensorContent(
      (*const_node->mutable_attr())["value"].mutable_tensor());
}

    return cpu_allocator();
  }
};

void TestBitcastOp(Tensor* input_tensor, DataType out_type,
                   TensorShape expected_shape, error::Code expected_code) {
  Status status;
  NodeDef def;
  def.set_op("Bitcast");
  def.set_device(DEVICE_CPU);

  AttrValue typeAttr;
  SetAttrValue(input_tensor->dtype(), &typeAttr);

  AttrValue outTypeAttr;
  SetAttrValue(out_type, &outTypeAttr);

  RewriteOutsideCompilationSubgraphFn rewrite_fn("_xla", "_oc", "cluster", "");
  std::vector<OutputTensor> arg_source_tensors;
  NodeDef call_node_def;
  call_node_def.set_op("0");
  TF_CHECK_OK(
      rewrite_fn(arg_source_tensors, &g, nullptr, nullptr, &call_node_def));
  node_name_image = g->BuildNodeNameIndex();

  // Verify step 1: add key placeholder node.

    }

    /**
     * The Maven POM.
     *
     * @return The Maven POM.
     */
    @Internal
    public MavenPom getPom() {
        return pom.get();
    }

    public void setPom(MavenPom pom) {
        this.pom.set(pom);
    }

    /**
     * The file the POM will be written to.
     *
     * @return The file the POM will be written to
     */
    @OutputFile

        return useReactor;
    }

    /** @deprecated use {@link #setPom(File)} */
    @Deprecated
    public MavenExecutionRequest setPomFile(String pomFilename) {
        if (pomFilename != null) {
            pom = new File(pomFilename);
        }

        return this;
    }

    @Override
    public MavenExecutionRequest setPom(File pom) {
        this.pom = pom;

        return this;
    }

    absl::Span<const std::string> inputs,
    absl::Span<
        const std::pair<std::string, FunctionDefHelper::AttrValueWrapper>>
        attrs) {
  NodeDef node;
  node.set_name(std::string(name));
  node.set_op(std::string(op));
  for (const auto& input : inputs) node.add_input(input);
  for (const auto& attr : attrs)
    node.mutable_attr()->insert({attr.first, attr.second.proto});
  return node;
}

}  // namespace

				}
				if len(nl)-i > 1 {
					goto toomany
				}
				n = nl[i]
				ir.SetPos(n)
				if n.Type() != nil {
					nl[i] = assignconvfn(n, t, desc)
				}
				return
			}

			// TODO(mdempsky): Make into ... call with implicit slice.
			for ; i < len(nl); i++ {
				n = nl[i]
				ir.SetPos(n)
				if n.Type() != nil {
					nl[i] = assignconvfn(n, t.Elem(), desc)
				}
			}