[python] Examples directory including Rampion

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diff --git a/python/examples/test.py b/python/examples/test.py
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+#coding: utf8
+import cdec
+import gzip
+
+weights = '../tests/system_tests/australia/weights'
+grammar_file = '../tests/system_tests/australia/australia.scfg.gz'
+
+# Load decoder width configuration
+decoder = cdec.Decoder(formalism='scfg')
+# Read weights
+decoder.read_weights(weights)
+
+print dict(decoder.weights)
+
+# Read grammar
+with gzip.open(grammar_file) as f:
+    grammar = f.read()
+
+# Input sentence
+sentence = u'澳洲 是 与 北韩 有 邦交 的 少数 国家 之一 。'
+print '    Input:', sentence.encode('utf8')
+
+# Decode
+forest = decoder.translate(sentence, grammar=grammar)
+
+# Get viterbi translation
+print 'Output[0]:', forest.viterbi().encode('utf8')
+f_tree, e_tree = forest.viterbi_trees()
+print ' FTree[0]:', f_tree.encode('utf8')
+print ' ETree[0]:', e_tree.encode('utf8')
+print 'LgProb[0]:', forest.viterbi_features().dot(decoder.weights)
+
+# Get k-best translations
+kbest = zip(forest.kbest(5), forest.kbest_trees(5), forest.kbest_features(5))
+for i, (sentence, (f_tree, e_tree), features) in enumerate(kbest, 1):
+    print 'Output[%d]:' % i, sentence.encode('utf8')
+    print ' FTree[%d]:' % i, f_tree.encode('utf8')
+    print ' ETree[%d]:' % i, e_tree.encode('utf8')
+    print ' FVect[%d]:' % i, dict(features)
+
+# Sample translations from the forest
+for sentence in forest.sample(5):
+    print 'Sample:', sentence.encode('utf8')
+
+# Get feature vector for 1best
+fsrc = forest.viterbi_features()
+
+# Feature expectations
+print 'Feature expectations:', dict(forest.inside_outside())
+
+# Reference lattice
+lattice = ((('australia',0,1),),(('is',0,1),),(('one',0,1),),(('of',0,1),),(('the',0,4),('a',0,4),('a',0,1),('the',0,1),),(('small',0,1),('tiny',0,1),('miniscule',0,1),('handful',0,2),),(('number',0,1),('group',0,1),),(('of',0,2),),(('few',0,1),),(('countries',0,1),),(('that',0,1),),(('has',0,1),('have',0,1),),(('diplomatic',0,1),),(('relations',0,1),),(('with',0,1),),(('north',0,1),),(('korea',0,1),),(('.',0,1),),)
+
+lat = cdec.Lattice(lattice)
+assert (lattice == tuple(lat))
+
+# Intersect forest and lattice
+assert forest.intersect(lat)
+
+# Get best synchronous parse
+f_tree, e_tree = forest.viterbi_trees()
+print 'FTree:', f_tree.encode('utf8')
+print 'ETree:', e_tree.encode('utf8')
+
+# Compare 1best and reference feature vectors
+fref = forest.viterbi_features()
+print dict(fsrc - fref)
+
+# Prune hypergraph
+forest.prune(density=100)