Examples of labels()


Examples of com.jcabi.github.Repo.labels()

     * @throws Exception If some problem inside
     */
    @Test
    public void deletesLabels() throws Exception {
        final Repo repo = this.repo();
        final Labels labels = repo.labels();
        final String name = "label-0";
        labels.create(name, "e1e1e1");
        final Issue issue = repo.issues().create("hey, you!", "");
        issue.labels().add(Collections.singletonList(name));
        labels.delete(name);
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Examples of com.jcabi.github.Repo.labels()

        labels.create(name, "e1e1e1");
        final Issue issue = repo.issues().create("hey, you!", "");
        issue.labels().add(Collections.singletonList(name));
        labels.delete(name);
        MatcherAssert.assertThat(
            repo.labels().iterate(),
            Matchers.emptyIterable()
        );
        MatcherAssert.assertThat(
            issue.labels().iterate(),
            Matchers.emptyIterable()
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Examples of com.jcabi.github.Repo.labels()

    @Test
    public void setsLabelColor() throws Exception {
        final Repo repo = this.repo();
        final String color = "f0f0f0";
        final String name = "task";
        repo.labels().create(name, color);
        MatcherAssert.assertThat(
            new Label.Smart(repo.labels().get(name)).color(),
            Matchers.equalTo(color)
        );
    }
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Examples of com.jcabi.github.Repo.labels()

        final Repo repo = this.repo();
        final String color = "f0f0f0";
        final String name = "task";
        repo.labels().create(name, color);
        MatcherAssert.assertThat(
            new Label.Smart(repo.labels().get(name)).color(),
            Matchers.equalTo(color)
        );
    }

    /**
 
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Examples of com.jcabi.github.Repo.labels()

        final Github github = new RtGithub();
        final Repo repo = github.repos().get(
            new Coordinates.Simple("jcabi/jcabi-github")
        );
        MatcherAssert.assertThat(
            repo.labels().iterate().iterator().hasNext(),
            Matchers.equalTo(true)
        );
    }

}
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Examples of com.tinkerpop.blueprints.VertexQuery.labels()

            } else {
                final Vertex vertex = this.starts.next();
                VertexQuery query = vertex.query();
                query = query.direction(this.direction);
                if (this.labels.length > 0)
                    query = query.labels(this.labels);
                if (null != this.hasContainers) {
                    for (final HasContainer hasContainer : this.hasContainers) {
                        query = query.has(hasContainer.key, hasContainer.predicate, hasContainer.value);
                    }
                }
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Examples of com.tinkerpop.blueprints.VertexQuery.labels()

            long counter = 0l;
            final JSONArray elementArray = new JSONArray();

            VertexQuery query = vertex.query().direction(queryDirection);
            if (labels != null) {
                query = query.labels(labels);
            }

            // add .has() elements to query
            RequestObjectHelper.buildQueryProperties(theRequestObject, query);
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Examples of org.apache.mahout.classifier.df.data.Dataset.labels()

        if (dataset.isNumerical(dataset.getLabelId())) {
          RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
          regressionAnalyzer.setInstances(results);
          log.info("{}", regressionAnalyzer);
        } else {
          ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
          for (double[] res : results) {
            analyzer.addInstance(dataset.getLabelString(res[0]),
              new ClassifierResult(dataset.getLabelString(res[1]), 1.0));
          }
          log.info("{}", analyzer);
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Examples of org.apache.mahout.classifier.df.data.Dataset.labels()

        RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
        double[][] results = new double[resList.size()][2];
        regressionAnalyzer.setInstances(resList.toArray(results));
        log.info("{}", regressionAnalyzer);
      } else {
        ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
        for (double[] r : resList) {
          analyzer.addInstance(dataset.getLabelString(r[0]),
            new ClassifierResult(dataset.getLabelString(r[1]), 1.0));
        }
        log.info("{}", analyzer);
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Examples of org.apache.mahout.classifier.df.data.Dataset.labels()

        if (dataset.isNumerical(dataset.getLabelId())) {
          RegressionResultAnalyzer regressionAnalyzer = new RegressionResultAnalyzer();
          regressionAnalyzer.setInstances(results);
          log.info("{}", regressionAnalyzer);
        } else {
          ResultAnalyzer analyzer = new ResultAnalyzer(Arrays.asList(dataset.labels()), "unknown");
          for (double[] res : results) {
            analyzer.addInstance(dataset.getLabelString(res[0]),
              new ClassifierResult(dataset.getLabelString(res[1]), 1.0));
          }
          log.info("{}", analyzer);
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