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#include "data/text_input.h"
#include "common/utils.h"
namespace marian {
namespace data {
TextIterator::TextIterator() : pos_(-1), tup_(0) {}
TextIterator::TextIterator(TextInput& corpus) : corpus_(&corpus), pos_(0), tup_(corpus_->next()) {}
void TextIterator::increment() {
tup_ = corpus_->next();
pos_++;
}
bool TextIterator::equal(TextIterator const& other) const {
return this->pos_ == other.pos_ || (this->tup_.empty() && other.tup_.empty());
}
const SentenceTuple& TextIterator::dereference() const {
return tup_;
}
TextInput::TextInput(std::vector<std::string> inputs,
std::vector<Ptr<Vocab>> vocabs,
Ptr<Options> options)
: DatasetBase(inputs, options),
vocabs_(vocabs),
maxLength_(options_->get<size_t>("max-length")),
maxLengthCrop_(options_->get<bool>("max-length-crop")) {
// Note: inputs are automatically stored in the inherited variable named paths_, but these are
// texts not paths!
for(const auto& text : paths_)
files_.emplace_back(new std::istringstream(text));
}
// TextInput is mainly used for inference in the server mode, not for training, so skipping too long
// or ill-formed inputs is not necessary here
SentenceTuple TextInput::next() {
// get index of the current sentence
size_t curId = pos_++;
// fill up the sentence tuple with source and/or target sentences
SentenceTuple tup(curId);
for(size_t i = 0; i < files_.size(); ++i) {
std::string line;
if(io::getline(*files_[i], line)) {
Words words = vocabs_[i]->encode(line, /*addEOS=*/true, /*inference=*/inference_);
if(this->maxLengthCrop_ && words.size() > this->maxLength_) {
words.resize(maxLength_);
words.back() = vocabs_.back()->getEosId(); // note: this will not work with class-labels
}
ABORT_IF(words.empty(), "No words (not even EOS) found in string??");
ABORT_IF(tup.size() != i, "Previous tuple elements are missing.");
tup.push_back(words);
}
}
if(tup.size() == files_.size()) // check if each input file provided an example
return tup;
else if(tup.size() == 0) // if no file provided examples we are done
return SentenceTuple(0);
else // neither all nor none => we have at least on missing entry
ABORT("There are missing entries in the text tuples.");
}
} // namespace data
} // namespace marian
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