original_string: private function format_predictor_predictions($predictorresult) {
  
          $predictions = array();
          if (!empty($predictorresult->predictions)) {
              foreach ($predictorresult->predictions as $sampleinfo) {
  
                  // We parse each prediction.
                  switch (count($sampleinfo)) {
                      case 1:
                          // For whatever reason the predictions processor could not process this sample, we
                          // skip it and do nothing with it.
                          debugging($this->model->id . ' model predictions processor could not process the sample with id ' .
                              $sampleinfo[0], DEBUG_DEVELOPER);
                          continue 2;
                      case 2:
                          // Prediction processors that do not return a prediction score will have the maximum prediction
                          // score.
                          list($uniquesampleid, $prediction) = $sampleinfo;
                          $predictionscore = 1;
                          break;
                      case 3:
                          list($uniquesampleid, $prediction, $predictionscore) = $sampleinfo;
                          break;
                      default:
                          break;
                  }
                  $predictiondata = (object)['prediction' => $prediction, 'predictionscore' => $predictionscore];
                  $predictions[$uniquesampleid] = $predictiondata;
              }
          }
          return $predictions;
      }
code: private function format_predictor_predictions($predictorresult) {
  
          $predictions = array();
          if (!empty($predictorresult->predictions)) {
              foreach ($predictorresult->predictions as $sampleinfo) {
  
                  // We parse each prediction.
                  switch (count($sampleinfo)) {
                      case 1:
                          // For whatever reason the predictions processor could not process this sample, we
                          // skip it and do nothing with it.
                          debugging($this->model->id . ' model predictions processor could not process the sample with id ' .
                              $sampleinfo[0], DEBUG_DEVELOPER);
                          continue 2;
                      case 2:
                          // Prediction processors that do not return a prediction score will have the maximum prediction
                          // score.
                          list($uniquesampleid, $prediction) = $sampleinfo;
                          $predictionscore = 1;
                          break;
                      case 3:
                          list($uniquesampleid, $prediction, $predictionscore) = $sampleinfo;
                          break;
                      default:
                          break;
                  }
                  $predictiondata = (object)['prediction' => $prediction, 'predictionscore' => $predictionscore];
                  $predictions[$uniquesampleid] = $predictiondata;
              }
          }
          return $predictions;
      }
code_tokens: private function format_predictor_predictions ( $ predictorresult ) { $ predictions = array ( ) ; if ( ! empty ( $ predictorresult -> predictions ) ) { foreach ( $ predictorresult -> predictions as $ sampleinfo ) { // We parse each prediction. switch ( count ( $ sampleinfo ) ) { case 1 : // For whatever reason the predictions processor could not process this sample, we // skip it and do nothing with it. debugging ( $ this -> model -> id . ' model predictions processor could not process the sample with id ' . $ sampleinfo [ 0 ] , DEBUG_DEVELOPER ) ; continue 2 ; case 2 : // Prediction processors that do not return a prediction score will have the maximum prediction // score. list ( $ uniquesampleid , $ prediction ) = $ sampleinfo ; $ predictionscore = 1 ; break ; case 3 : list ( $ uniquesampleid , $ prediction , $ predictionscore ) = $ sampleinfo ; break ; default : break ; } $ predictiondata = ( object ) [ 'prediction' => $ prediction , 'predictionscore' => $ predictionscore ] ; $ predictions [ $ uniquesampleid ] = $ predictiondata ; } } return $ predictions ; }
docstring: Formats the predictor results.
  
  @param array $predictorresult
  @return array
docstring_tokens: Formats the predictor results .