.. _program_listing_file_src_data_corpus_nbest.h:

Program Listing for File corpus_nbest.h
=======================================

|exhale_lsh| :ref:`Return to documentation for file <file_src_data_corpus_nbest.h>` (``src/data/corpus_nbest.h``)

.. |exhale_lsh| unicode:: U+021B0 .. UPWARDS ARROW WITH TIP LEFTWARDS

.. code-block:: cpp

   #pragma once
   
   #include <fstream>
   #include <iostream>
   #include <random>
   
   #include "common/definitions.h"
   #include "common/file_stream.h"
   #include "common/options.h"
   #include "data/alignment.h"
   #include "data/batch.h"
   #include "data/corpus_base.h"
   #include "data/dataset.h"
   #include "data/vocab.h"
   
   namespace marian {
   namespace data {
   
   class CorpusNBest : public CorpusBase {
   private:
     std::vector<size_t> ids_;
     int lastNum_{-1};
     std::vector<std::string> lastLines_;
   
   public:
     // @TODO: check if translate can be replaced by an option in options
     CorpusNBest(Ptr<Options> options, bool translate = false);
   
     CorpusNBest(std::vector<std::string> paths,
                 std::vector<Ptr<Vocab>> vocabs,
                 Ptr<Options> options);
   
     Sample next() override;
   
     void shuffle() override {}
   
     void reset() override;
   
     void restore(Ptr<TrainingState>) override {}
   
     iterator begin() override { return iterator(this); }
   
     iterator end() override { return iterator(); }
   
     std::vector<Ptr<Vocab>>& getVocabs() override { return vocabs_; }
   
     batch_ptr toBatch(const std::vector<Sample>& batchVector) override {
       size_t batchSize = batchVector.size();
   
       std::vector<size_t> sentenceIds;
   
       std::vector<int> maxDims;
       for(auto& ex : batchVector) {
         if(maxDims.size() < ex.size())
           maxDims.resize(ex.size(), 0);
         for(size_t i = 0; i < ex.size(); ++i) {
           if(ex[i].size() > (size_t)maxDims[i])
             maxDims[i] = (int)ex[i].size();
         }
         sentenceIds.push_back(ex.getId());
       }
   
       std::vector<Ptr<SubBatch>> subBatches;
       for(size_t j = 0; j < maxDims.size(); ++j) {
         subBatches.emplace_back(New<SubBatch>(batchSize, maxDims[j], vocabs_[j]));
       }
   
       std::vector<size_t> words(maxDims.size(), 0);
       for(size_t i = 0; i < batchSize; ++i) {
         for(size_t j = 0; j < maxDims.size(); ++j) {
           for(size_t k = 0; k < batchVector[i][j].size(); ++k) {
             subBatches[j]->data()[k * batchSize + i] = batchVector[i][j][k];
             subBatches[j]->mask()[k * batchSize + i] = 1.f;
             words[j]++;
           }
         }
       }
   
       for(size_t j = 0; j < maxDims.size(); ++j)
         subBatches[j]->setWords(words[j]);
   
       auto batch = batch_ptr(new batch_type(subBatches));
       batch->setSentenceIds(sentenceIds);
   
       return batch;
     }
   };
   }  // namespace data
   }  // namespace marian