Added unit test for padding larger than the longest sequence.

test/TensorFlowNET.Keras.UnitTest/PreprocessingTests.cs

@@ -269,6 +269,24 @@ namespace TensorFlowNET.Keras.UnitTest
                 Assert.AreNotEqual(0, padded[1, i].GetInt32());
         }
 
+        [TestMethod]
+        public void PadSequencesPrePaddingTrunc_Larger()
+        {
+            var tokenizer = keras.preprocessing.text.Tokenizer(oov_token: OOV);
+            tokenizer.fit_on_texts(texts);
+
+            var sequences = tokenizer.texts_to_sequences(texts);
+            var padded = keras.preprocessing.sequence.pad_sequences(sequences, maxlen: 45);
+
+            Assert.AreEqual(4, padded.shape[0]);
+            Assert.AreEqual(45, padded.shape[1]);
+
+            Assert.AreEqual(tokenizer.word_index["worst"], padded[0, 42].GetInt32());
+            for (var i = 0; i < 33; i++)
+                Assert.AreEqual(0, padded[0, i].GetInt32());
+            Assert.AreEqual(tokenizer.word_index["proud"], padded[1, 33].GetInt32());
+        }
+
         [TestMethod]
         public void PadSequencesPostPaddingTrunc()
         {
@@ -289,6 +307,24 @@ namespace TensorFlowNET.Keras.UnitTest
                 Assert.AreNotEqual(0, padded[1, i].GetInt32());
         }
 
+        [TestMethod]
+        public void PadSequencesPostPaddingTrunc_Larger()
+        {
+            var tokenizer = keras.preprocessing.text.Tokenizer(oov_token: OOV);
+            tokenizer.fit_on_texts(texts);
+
+            var sequences = tokenizer.texts_to_sequences(texts);
+            var padded = keras.preprocessing.sequence.pad_sequences(sequences, maxlen: 45, padding: "post", truncating: "post");
+
+            Assert.AreEqual(4, padded.shape[0]);
+            Assert.AreEqual(45, padded.shape[1]);
+
+            Assert.AreEqual(tokenizer.word_index["worst"], padded[0, 9].GetInt32());
+            for (var i = 32; i < 45; i++)
+                Assert.AreEqual(0, padded[0, i].GetInt32());
+            Assert.AreEqual(tokenizer.word_index["proud"], padded[1, 10].GetInt32());
+        }
+
         [TestMethod]
         public void TextToMatrixBinary()
         {