def test_text_to_ids(self, test_data_dir):
tokenizer = SentencePieceTokenizer(test_data_dir + self.model_name)
# <cls> is user_defined_symbol in the test tokenizer model
# <unk>, <sep>, <s>, and </s> are control symbols
text = "<cls> a b c <sep> e f g h i </s>"
tokens = tokenizer.text_to_ids(text)
assert tokens.count(tokenizer.token_to_id("<cls>")) == 1
assert tokens.count(tokenizer.token_to_id("<sep>")) == 0
assert tokens.count(tokenizer.token_to_id("</s>")) == 0
def test_text_to_ids(self, test_data_dir):
tokenizer = SentencePieceTokenizer(test_data_dir + self.model_name)
special_tokens = MODEL_SPECIAL_TOKENS
tokenizer.add_special_tokens(special_tokens)
text = "[CLS] a b c [MASK] e f [SEP] g h i [SEP]"
ids = tokenizer.text_to_ids(text)
assert len(ids) == len(text.split())
assert ids.count(tokenizer.token_to_id("[CLS]")) == 1
assert ids.count(tokenizer.token_to_id("[MASK]")) == 1
assert ids.count(tokenizer.token_to_id("[SEP]")) == 2
def test_tokens_to_ids(self, test_data_dir):
tokenizer = SentencePieceTokenizer(test_data_dir + self.model_name)
tokens = [
"<cls>", "a", "b", "c", "<sep>", "e", "f", "<sep>", "g", "h", "i",
"</s>"
]
ids = tokenizer.tokens_to_ids(tokens)
assert len(ids) == len(tokens)
assert ids.count(tokenizer.token_to_id("<cls>")) == 1
assert ids.count(tokenizer.token_to_id("</s>")) == 1
assert ids.count(tokenizer.token_to_id("<sep>")) == 2