```java
package jcifs.internal.smb2.rdma;

public interface RdmaProvider {
    /**
     * Check if RDMA is available on this system
     */
    boolean isAvailable();
    
    /**
     * Get supported RDMA capabilities
     */
    Set<RdmaCapability> getSupportedCapabilities();
    
    /**
     * Create RDMA connection to remote endpoint
     */
    RdmaConnection createConnection(InetSocketAddress remote, 

          }
        } else if (platformSystemProperty == OPENJSSE_PROPERTY && Security.getProviders()[0].name != "OpenJSSE") {
          if (!OpenJSSEPlatform.isSupported) {
            System.err.println("Warning: OpenJSSE not available")
          }

          if (System.getProperty("javax.net.debug") == null) {
            System.setProperty("javax.net.debug", "")
          }

# CUDA: This config refers to building CUDA op kernels with clang.
build:cuda_clang --config=cuda
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
build:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

     *
     * @param <T> the type to convert the value to
     * @param value the value to convert
     * @param clazz the target class type
     * @return the converted value or null if conversion is not supported
     */
    @SuppressWarnings("unchecked")
    private static <T> T convertObj(final Object value, final Class<T> clazz) {
        if (value == null) {
            return null;
        }

            } else {
                cb.query().setDescription_MatchPhrase(dataConfigPager.description);
            }
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_SortOrder_Asc();
        cb.query().addOrderBy_Name_Asc();

        // search

    }

exOf(".")+1),a.each(l,function(a,b){if(i=k.indexOf(b)>-1)return!1}),i}),i||(a.formUtils.warn("Trying to upload a file with mime type "+k+" which is not allowed"),e(this,"wrongFileType",l.join(", "),h))),i}return a.formUtils.warn("FileReader not supported by browser, will check file extension"),a.formUtils.validators.validate_extension.validatorFunction(b,f,g,h)},errorMessage:"",errorMessageKey:"wrongFileType"}),a.formUtils.addValidator({name:"extension",validatorFunction:function(b,c,f,g){var h=...

If you need something easy to integrate with FastAPI but that is more robust, supported by Redis, PostgreSQL or others, check <a href="https://github.com/encode/broadcaster" class="external-link" target="_blank">encode/broadcaster</a>.

///

## More info { #more-info }

    /** The scheduled job service for managing scheduler settings. */
    @Resource
    private ScheduledJobService scheduledJobService;

    /**
     * Index page (not supported for API).
     *
     * @return throws UnsupportedOperationException
     */
    @Execute
    public HtmlResponse index() {
        throw new UnsupportedOperationException();
    }

    /**

| `s3:Replication:OperationMissedThreshold`          |
| `s3:Replication:OperationReplicatedAfterThreshold` |

| Supported ILM Transition Event Types |
| :-----                               |
| `s3:ObjectRestore:Post`              |
| `s3:ObjectRestore:Completed`         |

| Supported Global Event Types (Only supported through ListenNotification API) |
| :-----                                                                       |

    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for development). Use TF SIG Build Dockerfiles in
    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`