runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        }).build(newConfigs().clusterName(clusterName).numOfNode(1));

        // wait for yellow status
        runner.ensureYellow();

{"version":3,"sources":["../../build/js/CardRefresh.js","../../build/js/CardWidget.js","../../build/js/ControlSidebar.js","../../build/js/DirectChat.js","../../build/js/Dropdown.js","../../build/js/ExpandableTable.js","../../build/js/Fullscreen.js","../../build/js/IFrame.js","../../build/js/Layout.js","../../build/js/PushMenu.js","../../build/js/SidebarSearch.js","../../build/js/NavbarSearch.js","../../build/js/Toasts.js","../../build/js/TodoList.js","../../build/js/Treeview.js"],"names":["NAME...

# install it manually. We use Twine in nightly builds to upload Python packages
# to PyPI.
if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then
  pip install twine==3.6.0
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x

   *       return Foo.builder()
   *           .setA(a)
   *           .setB(b)
   *           .setC(c)
   *           .setD(d)
   *           .build();
   *     }
   *   }
   *
   *   public void testEquals() {
   *     new ClassSanityTester()
   *       .forAllPublicStaticMethods(FooFactoryForTest.class)
   *       .thatReturn(Foo.class)

	tx = db.getInstance()
	tx.Statement.SQL = strings.Builder{}

	if strings.Contains(sql, "@") {
		clause.NamedExpr{SQL: sql, Vars: values}.Build(tx.Statement)
	} else {
		clause.Expr{SQL: sql, Vars: values}.Build(tx.Statement)
	}
	return

                            final String chileUri = ftpInfo.toChildUrl(f.getName());
                            requestDataSet.add(RequestDataBuilder.newRequestData().get().url(chileUri).build());
                        }
                    } catch (final IOException e) {
                        disconnectInternalClient(client);

sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces
this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py)
"""

            final String replacement = element.replaceAll("(.)", "\\\\$1");
            newValue = newValue.replace(element, replacement);
        }
        return newValue;
    }

    public String build() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final int maxQueryLength = fessConfig.getQueryMaxLengthAsInteger();
        final StringBuilder queryBuf = new StringBuilder(255);

        event.setTrace(trace);
        event.setMetadata(metadata);
        event.setException(exception);
        event.setRepository(repository);

        repositoryEventDispatcher.dispatch(event.build());
    }

            mergePlugin_Executions(builder, target, source, sourceDominant, context);
            mergePlugin_Dependencies(builder, target, source, sourceDominant, context);
            return builder.build();
        }

        @Override
        protected void mergeReporting_Plugins(
                Reporting.Builder builder,
                Reporting target,
                Reporting source,