forgotten files

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@708 ec762483-ff6d-05da-a07a-a48fb63a330f

2 files changed, 147 insertions, 0 deletions

diff --git a/klm/lm/config.hh b/klm/lm/config.hh
new file mode 100644
index 00000000..88240b5f
--- /dev/null
+++ b/klm/lm/config.hh
@@ -0,0 +1,83 @@
+#ifndef LM_CONFIG__
+#define LM_CONFIG__
+
+#include <iosfwd>
+
+#include "util/mmap.hh"
+
+/* Configuration for ngram model.  Separate header to reduce pollution. */
+
+namespace lm { namespace ngram {
+
+class EnumerateVocab;
+
+struct Config {
+  // EFFECTIVE FOR BOTH ARPA AND BINARY READS 
+
+  // Where to log messages including the progress bar.  Set to NULL for
+  // silence.
+  std::ostream *messages;
+
+  // This will be called with every string in the vocabulary.  See
+  // enumerate_vocab.hh for more detail.  Config does not take ownership; you
+  // are still responsible for deleting it (or stack allocating).  
+  EnumerateVocab *enumerate_vocab;
+
+
+
+  // ONLY EFFECTIVE WHEN READING ARPA
+
+  // What to do when <unk> isn't in the provided model. 
+  typedef enum {THROW_UP, COMPLAIN, SILENT} UnknownMissing;
+  UnknownMissing unknown_missing;
+
+  // The probability to substitute for <unk> if it's missing from the model.  
+  // No effect if the model has <unk> or unknown_missing == THROW_UP.
+  float unknown_missing_prob;
+
+  // Size multiplier for probing hash table.  Must be > 1.  Space is linear in
+  // this.  Time is probing_multiplier / (probing_multiplier - 1).  No effect
+  // for sorted variant.  
+  // If you find yourself setting this to a low number, consider using the
+  // Sorted version instead which has lower memory consumption.  
+  float probing_multiplier;
+
+  // Amount of memory to use for building.  The actual memory usage will be
+  // higher since this just sets sort buffer size.  Only applies to trie
+  // models.
+  std::size_t building_memory;
+
+  // Template for temporary directory appropriate for passing to mkdtemp.  
+  // The characters XXXXXX are appended before passing to mkdtemp.  Only
+  // applies to trie.  If NULL, defaults to write_mmap.  If that's NULL,
+  // defaults to input file name.  
+  const char *temporary_directory_prefix;
+
+  // Level of complaining to do when an ARPA instead of a binary format.
+  typedef enum {ALL, EXPENSIVE, NONE} ARPALoadComplain;
+  ARPALoadComplain arpa_complain;
+
+  // While loading an ARPA file, also write out this binary format file.  Set
+  // to NULL to disable.  
+  const char *write_mmap;
+
+  // Include the vocab in the binary file?  Only effective if write_mmap != NULL.  
+  bool include_vocab;
+
+  
+  
+  // ONLY EFFECTIVE WHEN READING BINARY
+  
+  // How to get the giant array into memory: lazy mmap, populate, read etc.
+  // See util/mmap.hh for details of MapMethod.  
+  util::LoadMethod load_method;
+
+
+
+  // Set defaults. 
+  Config();
+};
+
+} /* namespace ngram */ } /* namespace lm */
+
+#endif // LM_CONFIG__
diff --git a/klm/lm/read_arpa.hh b/klm/lm/read_arpa.hh
new file mode 100644
index 00000000..cabdb195
--- /dev/null
+++ b/klm/lm/read_arpa.hh
@@ -0,0 +1,64 @@
+#ifndef LM_READ_ARPA__
+#define LM_READ_ARPA__
+
+#include "lm/lm_exception.hh"
+#include "lm/word_index.hh"
+#include "lm/weights.hh"
+#include "util/file_piece.hh"
+
+#include <cstddef>
+#include <iosfwd>
+#include <vector>
+
+namespace lm {
+
+void ReadARPACounts(util::FilePiece &in, std::vector<uint64_t> &number);
+void ReadARPACounts(std::istream &in, std::vector<uint64_t> &number);
+void ReadNGramHeader(util::FilePiece &in, unsigned int length);
+void ReadNGramHeader(std::istream &in, unsigned int length);
+
+void ReadBackoff(util::FilePiece &in, Prob &weights);
+void ReadBackoff(util::FilePiece &in, ProbBackoff &weights);
+
+void ReadEnd(util::FilePiece &in);
+void ReadEnd(std::istream &in);
+
+template <class Voc> void Read1Gram(util::FilePiece &f, Voc &vocab, ProbBackoff *unigrams) {
+  try {
+    float prob = f.ReadFloat();
+    if (prob > 0) UTIL_THROW(FormatLoadException, "Positive probability " << prob);
+    if (f.get() != '\t') UTIL_THROW(FormatLoadException, "Expected tab after probability");
+    ProbBackoff &value = unigrams[vocab.Insert(f.ReadDelimited())];
+    value.prob = prob;
+    ReadBackoff(f, value);
+  } catch(util::Exception &e) {
+    e << " in the 1-gram at byte " << f.Offset();
+    throw;
+  }
+}
+
+template <class Voc> void Read1Grams(util::FilePiece &f, std::size_t count, Voc &vocab, ProbBackoff *unigrams) {
+  ReadNGramHeader(f, 1);
+  for (std::size_t i = 0; i < count; ++i) {
+    Read1Gram(f, vocab, unigrams);
+  }
+  vocab.FinishedLoading(unigrams);
+}
+
+template <class Voc, class Weights> void ReadNGram(util::FilePiece &f, const unsigned char n, const Voc &vocab, WordIndex *const reverse_indices, Weights &weights) {
+  try {
+    weights.prob = f.ReadFloat();
+    if (weights.prob > 0) UTIL_THROW(FormatLoadException, "Positive probability " << weights.prob);
+    for (WordIndex *vocab_out = reverse_indices + n - 1; vocab_out >= reverse_indices; --vocab_out) {
+      *vocab_out = vocab.Index(f.ReadDelimited());
+    }
+    ReadBackoff(f, weights);
+  } catch(util::Exception &e) {
+    e << " in the " <<  n << "-gram at byte " << f.Offset();
+    throw;
+  }
+}
+
+} // namespace lm
+
+#endif // LM_READ_ARPA__