struct TF_Graph {
  TF_Graph();

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each

nakijin.okinawa.jp
naklo.pl
nalchik.ru
nalchik.su
namaste.jp
namdalseid.no
namdinh.vn
name
name.az
name.eg
name.et
name.fj
name.hr
name.mk
name.mv
name.my
name.ng
name.pm
name.pr
name.qa
name.tj
name.tr
name.tt
name.vn
namegata.ibaraki.jp
namegawa.saitama.jp
namerikawa.toyama.jp
namie.fukushima.jp
namikata.ehime.jp

                    // remove
                    String[] ignoreFields;
                    if (paramMap.containsKey("ignore.field.names")) {
                        ignoreFields = ((String) paramMap.get("ignore.field.names")).split(",");
                    } else {
                        ignoreFields = new String[] { Constants.INDEXING_TARGET, Constants.SESSION_ID };
                    }

        assertNull(facetInfo.size);
        assertNull(facetInfo.minDocCount);
        assertNull(facetInfo.sort);
        assertNull(facetInfo.missing);
    }

    // Test init with duplicate and empty field names
    public void test_init_withDuplicateAndEmptyFieldNames() {
        FessConfig fessConfig = new FessConfig.SimpleImpl() {
            @Override
            public String getQueryFacetFields() {

            result.setHandlerParameter(DfTypeUtil.toString(source.get("handlerParameter")));
            result.setHandlerScript(DfTypeUtil.toString(source.get("handlerScript")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setPermissions(toStringArray(source.get("permissions")));
            result.setSortOrder(DfTypeUtil.toInteger(source.get("sortOrder")));

            result.setExcludedPaths(DfTypeUtil.toString(source.get("excludedPaths")));
            result.setIncludedPaths(DfTypeUtil.toString(source.get("includedPaths")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setPermissions(toStringArray(source.get("permissions")));
            result.setSortOrder(DfTypeUtil.toInteger(source.get("sortOrder")));

        scoreUpdater.addScoreBooster(booster1);
        scoreUpdater.addScoreBooster(booster2);

        String result = scoreUpdater.execute();

        // Check format with class name, colon, count, and newline
        String[] lines = result.split("\n");
        assertEquals(2, lines.length);
        assertTrue(lines[0].matches("TestScoreBooster : \\d+"));

test.file:              5 B / 5 B  ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓  100.00% 337 B/s 0s
```

```
mc stat myminio/bucket/test.file
Name      : test.file
...
Encrypted :
  X-Amz-Server-Side-Encryption: AES256
```

## Encrypted Private Key

MinIO supports encrypted KES client private keys. Therefore, you can use

// Collector paths.
//
// These are paths under the top-level /minio/metrics/v3 metrics endpoint. Each
// of these paths returns a set of V3 metrics.
//
// Per-bucket metrics endpoints always start with /bucket and the bucket name is
// appended to the path. e.g. if the collector path is /bucket/api, the endpoint
// for the bucket "mybucket" would be /minio/metrics/v3/bucket/api/mybucket
const (
	apiRequestsCollectorPath collectorPath = "/api/requests"

        "builtIn": 1,
        "datasource": {
          "type": "datasource",
          "uid": "grafana"
        },
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "description": "MinIO Grafana Dashboard - https://min.io/",
  "editable": true,
  "fiscalYearStartMonth": 0,
  "gnetId": 15306,