assertThat(reader.nextPart()).isNull()
  }

  /**
   * Read 100 MiB of 'a' chars. This was really slow due to a performance bug in [MultipartReader],
   * and will be really slow if we regress the fix for that.
   */
  @Test
  fun `reading a large part with small byteCount`() {
    val multipartBody =
      MultipartBody
        .Builder("foo")
        .addPart(

        - podSelector:
            matchLabels:
              {{ template "minio.name" . }}-client: "true"
      {{- end }}
  {{- if .Values.networkPolicy.egress.enabled }}
  egress:
    - ports:
        {{ .Values.networkPolicy.egress.ports | toJson }}
      {{- with .Values.networkPolicy.egress.to }}
      to:
        {{- toYaml . | nindent 12 }}
      {{- end }}
  {{- end }}
---
kind: NetworkPolicy

  allowExternal: true
  ## @params networkPolicy.egress configuration of the egress traffic
  egress:
    ## @param networkPolicy.egress.enabled When enabled, an egress network policy will be
    ## created allowing minio to connect to external data sources from kubernetes cluster.
    ##
    enabled: false
    ## @param networkPolicy.egress.ports Add individual ports to be allowed by the egress

          "intervalFactor": 1,
          "legendFormat": "",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Total S3 Egress",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {

      }
    }.start();
    new Thread() {
      @Override
      public void run() {
        cache.refresh(refreshKey);
        getFinishedSignal.countDown();
      }
    }.start();

    getStartedSignal.await();

    // computation is in progress; asMap shouldn't have changed
    assertThat(map).hasSize(1);
    assertThat(map.containsKey(getKey)).isFalse();

        }

        suggester.indexer().index(items);
        suggester.refresh();

        assertEquals(3, suggester.getAllWordsNum());

        SuggestDeleteResponse deleteResponse = suggester.indexer().deleteAll();

        assertNotNull(deleteResponse);
        assertFalse(deleteResponse.hasError());

        suggester.refresh();
        assertEquals(0, suggester.getAllWordsNum());
    }

    @Test

        runner.refresh();

        assertEquals(3, suggester.getAllWordsNum());

        SuggestWriterResult result = writer.deleteByQuery(runner.client(), suggester.settings(), suggester.getIndex(),
                QueryBuilders.matchQuery(FieldNames.TEXT, "テスト0"));

        assertNotNull(result);
        assertFalse(result.hasFailure());

        runner.refresh();

      }
    }.start();
    new Thread() {
      @Override
      public void run() {
        cache.refresh(refreshKey);
        getFinishedSignal.countDown();
      }
    }.start();

    getStartedSignal.await();

    // computation is in progress; asMap shouldn't have changed
    assertThat(map).hasSize(1);
    assertThat(map.containsKey(getKey)).isFalse();

    prediction-flavored outputs, in addition to the classification-flavored one.
    Building signatures from these allows TF Serving to honor requests using the
    different APIs (Classify, Regress, and Predict). Furthermore,
    `serving_input_receiver_fn()` may now specify alternative subsets of nodes
    that may act as inputs. This allows, for instance, producing a prediction

)

type arnTarget struct {
	Client      *TargetClient
	lastRefresh time.Time
}

// arnErrs represents number of errors seen for a ARN and if update is in progress
// to refresh remote targets from bucket metadata.
type arnErrs struct {
	count            int64
	updateInProgress bool
	bucket           string
}

// BucketTargetSys represents bucket targets subsystem