assertEquals("Rguest", permissionHelper.encode("(allow){role}guest"));
        assertEquals("2guest", permissionHelper.encode("(allow){group}guest"));
        assertEquals("1guest", permissionHelper.encode("(allow){USER}guest"));
        assertEquals("Rguest", permissionHelper.encode("(allow){ROLE}guest"));
        assertEquals("2guest", permissionHelper.encode("(allow){GROUP}guest"));

{"index":{"_index":"fess_user.role","_id":"YWRtaW4="}}
{"name":"admin"}
{"index":{"_index":"fess_user.role","_id":"Z3Vlc3Q="}}

                "e6cc9514d288fff4553187be8800b54efe3229054b1acbf64d3132e1982162576113939c790e8d6f56e2fa0d6655ba520c44ad0b71adc4061cf6b42e975b4904",
                crawlingInfoHelper.generateId(dataMap));

        roleTypeList.add("guest");

        assertEquals(
                "dce588fe68813d59cce9a5b087f81d63406123492cb120027ca9ed765ba6501f7b07bb36569afd2fb7b10ac53c4a9a3764b0d7619a8059c071b1a20f8ae42fa3",
                crawlingInfoHelper.generateId(dataMap));

										class="fa fa-exclamation-triangle text-warning"
									></a></li>
							</c:if>
							<c:choose>
								<c:when test="${!empty username && username != 'guest'}">
									<li class="nav-item">
										<div class="dropdown">
											<a class="nav-link dropdown-toggle" data-toggle="dropdown"
												href="#" role="button" aria-haspopup="true"

										class="fa fa-exclamation-triangle text-warning"
									></a></li>
							</c:if>
							<c:choose>
								<c:when test="${!empty username && username != 'guest'}">
									<li class="nav-item">
										<div class="dropdown">
											<a class="nav-link dropdown-toggle" data-toggle="dropdown"
												href="#" role="button" aria-haspopup="true"

  ASSERT_EQ(errors::OK, s.code()) << s.message();
}

TEST_P(UnifiedAPI, TestUnknownShapeTracing) {
  if (!UseFunction()) {
    GTEST_SKIP() << "Tracing only test.";
  }
  if (UseMlir()) {
    // TODO(b/173074167): Remove this.
    GTEST_SKIP() << "MlirTensor::Shape is not implemented yet.";
  }
  AbstractContextPtr ctx(BuildFunction("test_fn"));
  AbstractTensorHandlePtr x;
  {

        final String keyProp = NAME_PREFIX + id;
        doc.put(KEY_PROPERTY, keyProp);
        doc.put("url", "http://example.com/" + id);
        doc.put("boost", id);
        doc.put("role", "Rguest");
        requestBody.put("doc", doc);
        return requestBody;
    }

    @Override
    protected Map<String, Object> createSearchBody(final int size) {

          CharStreams.copy(reader, sb);
        }
        return sb.toString();
      }
    },
    // It really seems like this should be faster than TO_BYTE_ARRAY_NEW_STRING.  But it just isn't
    // my best guess is that the jdk authors have spent more time optimizing that callpath than this
    // one. (StringCoding$StringDecoder vs. StreamDecoder).  StringCoding has a ton of special cases

          CharStreams.copy(reader, sb);
        }
        return sb.toString();
      }
    },
    // It really seems like this should be faster than TO_BYTE_ARRAY_NEW_STRING.  But it just isn't
    // my best guess is that the jdk authors have spent more time optimizing that callpath than this
    // one. (StringCoding$StringDecoder vs. StreamDecoder).  StringCoding has a ton of special cases

  outputs[0]->Unref();
}

TEST_P(CppGradients, TestSparseSoftmaxCrossEntropyWithLogitsGrad) {
  if (UseFunction()) {
    // TODO(b/168850692): Enable this.
    GTEST_SKIP() << "Can't take gradient of "
                    "SparseSoftmaxCrossEntropyWithLogits in tracing mode.";
  }

  // Score
  float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 0.0f, -1.0f};