from svm_interface import LibsvmInputFile, LibsvmModelFile, TextFilefrom svm_interface import svm_predict_pathnameimport utilimport tempfileplugin_name = "Predictor"def create(callback):    return Predictor(callback)class Predictor:    input_description = [('test data', LibsvmInputFile),                         ('model', LibsvmModelFile)]    output_description = [('output', TextFile)]    def __init__(self,callback):        self.callback = callback    def run(self,**k):        input = k['test data']        model = k['model']        filename = tempfile.mktemp()                                cmd = "%s %s %s %s" % (svm_predict_pathname, input.pathname,                               model.pathname, filename)        log = self.callback.log        log('# Running %s\n' % cmd)         util.run_command(cmd,log,log)        return {'output': TextFile(filename,autodel=True) }