[python] Support for grammars

- Translation rules can now be create programatically
- Grammars = list of translation rules can be used for translation
- Feature expectations on the hypergraph (inside_outside)

1 files changed, 0 insertions, 55 deletions

diff --git a/python/src/trule.pxi b/python/src/trule.pxi
deleted file mode 100644
index 6168014d..00000000
--- a/python/src/trule.pxi
+++ /dev/null
@@ -1,55 +0,0 @@
-def _phrase(phrase):
-    return ' '.join('[%s,%d]' % w if isinstance(w, tuple) else w.encode('utf8') for w in phrase)
-
-cdef class TRule:
-    cdef hypergraph.TRule* rule
-
-    property arity:
-        def __get__(self):
-            return self.rule.arity_
-
-    property f:
-        def __get__(self):
-            cdef vector[WordID]* f = &self.rule.f_
-            cdef WordID w
-            cdef words = []
-            cdef unsigned i
-            cdef int idx = 0
-            for i in range(f.size()):
-                w = f[0][i]
-                if w < 0:
-                    idx += 1
-                    words.append((TDConvert(-w), idx))
-                else:
-                    words.append(unicode(TDConvert(w), encoding='utf8'))
-            return words
-
-    property e:
-        def __get__(self):
-            cdef vector[WordID]* e = &self.rule.e_
-            cdef WordID w
-            cdef words = []
-            cdef unsigned i
-            cdef int idx = 0
-            for i in range(e.size()):
-                w = e[0][i]
-                if w < 1:
-                    idx += 1
-                    words.append((TDConvert(1-w), idx))
-                else:
-                    words.append(unicode(TDConvert(w), encoding='utf8'))
-            return words
-
-    property scores:
-        def __get__(self):
-            cdef SparseVector scores = SparseVector()
-            scores.vector = new FastSparseVector[double](self.rule.scores_)
-            return scores
-
-    property lhs:
-        def __get__(self):
-            return TDConvert(-self.rule.lhs_)
-
-    def __str__(self):
-        scores = ' '.join('%s=%s' % feat for feat in self.scores)
-        return '[%s] ||| %s ||| %s ||| %s' % (self.lhs, _phrase(self.f), _phrase(self.e), scores)