fasttext: Update expected OOV vectors in tests

These had to be updatened, since after the modifications to the
`word_vector` method, we no longer normalize by the number of ngrams,
but instead by the number of bucketed ngram hashes

gensim/test/test_fasttext.py

@@ -154,16 +154,16 @@ def test_load_fasttext_format(self):
         # vector for oov words are slightly different from original FastText due to discarding unused ngrams
         # obtained using a modified version of ./fasttext print-word-vectors lee_fasttext_new.bin
         expected_vec_oov = [
-            -0.23825,
-            -0.58482,
-            -0.22276,
-            -0.41215,
-            0.91015,
-            -1.6786,
-            -0.26724,
-            0.58818,
-            0.57828,
-            0.75801
+            -0.21929,
+            -0.53778,
+            -0.22463,
+            -0.41735,
+            0.71737,
+            -1.59758,
+            -0.24833,
+            0.62028,
+            0.53203,
+            0.77568
         ]
         self.assertTrue(np.allclose(model["rejection"], expected_vec_oov, atol=1e-4))
 
@@ -205,16 +205,16 @@ def test_load_fasttext_new_format(self):
         # vector for oov words are slightly different from original FastText due to discarding unused ngrams
         # obtained using a modified version of ./fasttext print-word-vectors lee_fasttext_new.bin
         expected_vec_oov = [
-            -0.53378,
-            -0.19,
-            0.013482,
-            -0.86767,
-            -0.21684,
-            -0.89928,
-            0.45124,
-            0.18025,
-            -0.14128,
-            0.22508
+            -0.49111,
+            -0.13122,
+            -0.02109,
+            -0.88769,
+            -0.20105,
+            -0.91732,
+            0.47243,
+            0.19708,
+            -0.17856,
+            0.19815
         ]
         self.assertTrue(np.allclose(new_model["rejection"], expected_vec_oov, atol=1e-4))