init

transformers/tests/models/blenderbot/test_tokenization_blenderbot.py

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+#!/usr/bin/env python3
+# Copyright 2020 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Tests for Blenderbot Tokenizers, including common tests for BlenderbotSmallTokenizer."""
+
+import unittest
+from functools import cached_property
+
+from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
+from transformers.testing_utils import require_jinja
+
+
+class Blenderbot3BTokenizerTests(unittest.TestCase):
+    @cached_property
+    def tokenizer_3b(self):
+        return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B")
+
+    @cached_property
+    def rust_tokenizer_3b(self):
+        return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B")
+
+    def test_encode_decode_cycle(self):
+        tok = self.tokenizer_3b
+        src_text = " I am a small frog."
+        encoded = tok([src_text], padding=False, truncation=False)["input_ids"]
+        decoded = tok.batch_decode(encoded, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+        assert src_text == decoded
+
+    def test_encode_decode_cycle_rust_tokenizer(self):
+        tok = self.rust_tokenizer_3b
+        src_text = " I am a small frog."
+        encoded = tok([src_text], padding=False, truncation=False)["input_ids"]
+        decoded = tok.batch_decode(encoded, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+        assert src_text == decoded
+
+    def test_3B_tokenization_same_as_parlai(self):
+        assert self.tokenizer_3b.add_prefix_space
+        assert self.tokenizer_3b([" Sam", "Sam"]).input_ids == [[5502, 2], [5502, 2]]
+
+    def test_3B_tokenization_same_as_parlai_rust_tokenizer(self):
+        assert self.rust_tokenizer_3b.add_prefix_space
+        assert self.rust_tokenizer_3b([" Sam", "Sam"]).input_ids == [[5502, 2], [5502, 2]]
+
+    @require_jinja
+    def test_tokenization_for_chat(self):
+        tok = self.tokenizer_3b
+        test_chats = [
+            [{"role": "system", "content": "You are a helpful chatbot."}, {"role": "user", "content": "Hello!"}],
+            [
+                {"role": "system", "content": "You are a helpful chatbot."},
+                {"role": "user", "content": "Hello!"},
+                {"role": "assistant", "content": "Nice to meet you."},
+            ],
+            [{"role": "assistant", "content": "Nice to meet you."}, {"role": "user", "content": "Hello!"}],
+        ]
+        tokenized_chats = [tok.apply_chat_template(test_chat) for test_chat in test_chats]
+        expected_tokens = [
+            [553, 366, 265, 4792, 3879, 73, 311, 21, 228, 228, 6950, 8, 2],
+            [553, 366, 265, 4792, 3879, 73, 311, 21, 228, 228, 6950, 8, 228, 3490, 287, 2273, 304, 21, 2],
+            [3490, 287, 2273, 304, 21, 228, 228, 6950, 8, 2],
+        ]
+        for tokenized_chat, expected_tokens in zip(tokenized_chats, expected_tokens):
+            self.assertListEqual(tokenized_chat, expected_tokens)