### SIG Azure

* The Azure cloud provider now supports standard SKU load balancer and public IP.
`excludeMasterFromStandardLB` defaults to true, which means master nodes are excluded from the standard load balancer. Also note that because all nodes (except master) are added as loadbalancer backends, the standard load balancer doesn't work with the `service.beta.kubernetes.io/azure-load-balancer-mode` annotation.

  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - edata1-1:/edata1
      - edata1-2:/edata2
      - edata1-3:/edata3

                    + numOfThreads + "]";
        }

    }

    static void initializeProbes() {
        // Force probes to be loaded
        ProcessProbe.getInstance();
        OsProbe.getInstance();
        JvmInfo.jvmInfo();
    }

    /**
     * Main entry point for the thumbnail generator application.
     *

                }
                return true;
            }, OptionalThing.empty());
            response.flushBuffer();
            if (logger.isDebugEnabled()) {
                logger.debug("Loaded {} docs", count);
            }
        } catch (final InvalidQueryException | ResultOffsetExceededException e) {
            if (logger.isDebugEnabled()) {

            if (filename != null && filename.length() > 1) {

                try (FileInputStream in = new FileInputStream(filename)) {
                    p.load(in);
                }
            }

        } catch (final IOException ioe) {
            log.error("Failed to load config", ioe); //$NON-NLS-1$
        }
        p.putAll(System.getProperties());
        if (props != null) {
            p.putAll(props);
        }

        probably silently use `float32` in TensorFlow2, and a warning will be
        issued that starts with Layer "layer-name" is casting an input tensor
        from dtype float64 to the layer's dtype of float32. To fix, either set
        the default dtype to float64 with
        `tf.keras.backend.set_floatx('float64')`, or pass `dtype='float64'` to

TF_CAPI_EXPORT extern void TF_MakeInternalErrorStatus(TF_Status* status,
                                                      const char* errMsg);

// TF_NewCheckpointReader() return the CheckpointReader that can be use to
// investigate or load the variable from the checkpoint file
typedef struct TF_CheckpointReader TF_CheckpointReader;
TF_CAPI_EXPORT extern TF_CheckpointReader* TF_NewCheckpointReader(
    const char* filename, TF_Status* status);

    // Test get method
    public void test_get_existingItem() {
        // Load test data
        loadTestData();

        OptionalEntity<StopwordsItem> result = stopwordsFile.get(1);
        assertTrue(result.isPresent());
        assertEquals("the", result.get().getInput());
    }

    public void test_get_nonExistingItem() {
        // Load test data
        loadTestData();

  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - cdata1-1:/cdata1
      - cdata1-2:/cdata2

  minio2:

  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - rdata1-1:/rdata1
      - rdata1-2:/rdata2

  minio2: