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      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
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      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including

annotations, elaborations, or other modifications represent, as a whole, an
original work of authorship. For the purposes of this License, Derivative Works
shall not include works that remain separable from, or merely link (or bind by
name) to the interfaces of, the Work and Derivative Works thereof.

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      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
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      the Work and Derivative Works thereof.

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      the Work and Derivative Works thereof.

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      the Work and Derivative Works thereof.

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        RenderDataUtil.register(data, "relatedContentItems", relatedContentService.getRelatedContentList(relatedContentPager)); // page navi

        // restore from pager
        copyBeanToBean(relatedContentPager, form, op -> op.include("term", "content"));
    }

    // ===================================================================================
    //                                                                        Edit Execute

        RenderDataUtil.register(data, "boostDocumentRuleItems", boostDocumentRuleService.getBoostDocumentRuleList(boostDocPager)); // page navi

        // restore from pager
        copyBeanToBean(boostDocPager, form, op -> op.include("urlExpr", "boostExpr"));
    }

    // ===================================================================================
    //                                                                        Edit Execute

TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.