* methods that the next part should be sent. This is a
         * very indirect and simple batching control mechanism.
         */

        if ( this.andx == null || !getConfig().isUseBatching() || this.batchLevel >= getBatchLimit(getConfig(), (byte) this.andx.getCommand()) ) {
            this.andxCommand = (byte) 0xFF;
            this.andx = null;

            dst[ start + ANDX_COMMAND_OFFSET ] = (byte) 0xFF;

            try {
                long time = System.currentTimeMillis() - 1000 * 60 * 60 * 12;
                f.setLastModified(time);

                if ( ( getContext().getConfig().getCapabilities() & SmbConstants.CAP_NT_SMBS ) == 0 ) {
                    // only have second precision
                    // there seems to be some random factor (adding one second)

        tasks.register("checkstyleApi", Checkstyle.class, task -> {
            task.source(extension.getDocumentedSource());
            // TODO: This is ugly
            task.setConfig(project.getResources().getText().fromFile(checkstyle.getConfigDirectory().file("checkstyle-api.xml")));
            task.setClasspath(layout.files());

// tensorflow.ConfigProto.OptimizerOptions.global_jit_level to ON_1, and also
// set XLA flag values to prepare for XLA compilation. Otherwise set
// global_jit_level to OFF.
//
// This and the next API are syntax sugar over TF_SetConfig(), and is used by
// clients that cannot read/write the tensorflow.ConfigProto proto.
// TODO: Migrate to TF_CreateConfig() below.
TF_CAPI_EXPORT extern void TF_EnableXLACompilation(TF_SessionOptions* options,

TFE_ContextOptions* TFE_NewContextOptions() { return new TFE_ContextOptions; }

void TFE_ContextOptionsSetConfig(TFE_ContextOptions* options, const void* proto,
                                 size_t proto_len, TF_Status* status) {
  TF_SetConfig(&options->session_options, proto, proto_len, status);
}

void TFE_ContextOptionsSetAsync(TFE_ContextOptions* options,
                                unsigned char enable) {
  options->async = enable;
}

// config should be a serialized tensorflow.ConfigProto proto.
// If config was not parsed successfully as a ConfigProto, record the
// error information in *status.
TF_CAPI_EXPORT extern void TF_SetConfig(TF_SessionOptions* options,
                                        const void* proto, size_t proto_len,
                                        TF_Status* status);

// Destroy an options object.

  return out;
}
void TF_DeleteSessionOptions(TF_SessionOptions* opt) { delete opt; }

void TF_SetTarget(TF_SessionOptions* options, const char* target) {
  options->options.target = target;
}

void TF_SetConfig(TF_SessionOptions* options, const void* proto,
                  size_t proto_len, TF_Status* status) {
  if (!options->options.config.ParseFromArray(proto, proto_len)) {