🚨🚨[Whisper Tok] Update integration test (#29368)

* [Whisper Tok] Update integration test

* make style

tests/models/whisper/test_tokenization_whisper.py

@@ -16,7 +16,7 @@
 
 from transformers.models.whisper import WhisperTokenizer, WhisperTokenizerFast
 from transformers.models.whisper.tokenization_whisper import _combine_tokens_into_words, _find_longest_common_sequence
-from transformers.testing_utils import require_jinja, slow
+from transformers.testing_utils import slow
 
 from ...test_tokenization_common import TokenizerTesterMixin
 
@@ -67,26 +67,26 @@ def test_full_tokenizer(self):
  tokenizer = WhisperTokenizer.from_pretrained(self.tmpdirname)
 
  tokens = tokenizer.tokenize("This is a test")
- self.assertListEqual(tokens, ["This", "Ġis", "Ġa", "Ġ", "test"])
+ self.assertListEqual(tokens, ["This", "Ġis", "Ġa", "Ġtest"])
 
  self.assertListEqual(
  tokenizer.convert_tokens_to_ids(tokens),
- [5723, 307, 257, 220, 31636],
+ [5723, 307, 257, 1500],
  )
 
  tokens = tokenizer.tokenize("I was born in 92000, and this is falsé.")
  self.assertListEqual(
  tokens,
- ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġ", "this", "Ġis", "Ġfals", "é", "."], # fmt: skip
- ) # fmt: skip
+ ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġthis", "Ġis", "Ġfals", "é", "."], # fmt: skip
+ )
  ids = tokenizer.convert_tokens_to_ids(tokens)
- self.assertListEqual(ids, [40, 390, 4232, 294, 1722, 25743, 11, 293, 220, 11176, 307, 16720, 526, 13])
+ self.assertListEqual(ids, [40, 390, 4232, 294, 1722, 25743, 11, 293, 341, 307, 16720, 526, 13])
 
  back_tokens = tokenizer.convert_ids_to_tokens(ids)
  self.assertListEqual(
  back_tokens,
- ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġ", "this", "Ġis", "Ġfals", "é", "."], # fmt: skip
- ) # fmt: skip
+ ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġthis", "Ġis", "Ġfals", "é", "."], # fmt: skip
+ )
 
  def test_tokenizer_slow_store_full_signature(self):
  pass
@@ -499,25 +499,3 @@ def test_offset_decoding(self):
 
  output = multilingual_tokenizer.decode(INPUT_TOKENS, output_offsets=True)["offsets"]
  self.assertEqual(output, [])
-
- @require_jinja
- def test_tokenization_for_chat(self):
- multilingual_tokenizer = WhisperTokenizer.from_pretrained("openai/whisper-tiny")
- # This is in English, but it's just here to make sure the chat control tokens are being added properly
- 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 = [multilingual_tokenizer.apply_chat_template(test_chat) for test_chat in test_chats]
- expected_tokens = [
- [3223, 366, 257, 4961, 5081, 18870, 13, 50257, 15947, 0, 50257],
- [3223, 366, 257, 4961, 5081, 18870, 13, 50257, 15947, 0, 50257, 37717, 220, 1353, 1677, 291, 13, 50257],
- [37717, 220, 1353, 1677, 291, 13, 50257, 15947, 0, 50257],
- ]
- for tokenized_chat, expected_tokens in zip(tokenized_chats, expected_tokens):
- self.assertListEqual(tokenized_chat, expected_tokens)