def test_basic_encode(self, openai_files):
tokenizer = CharBPETokenizer.from_file(openai_files["vocab"],
openai_files["merges"])
output = tokenizer.encode("My name is John", "pair")
assert output.ids == [0, 253, 1362, 544, 0, 7, 12662, 2688]
assert output.tokens == [
"<unk>",
"y</w>",
"name</w>",
"is</w>",
"<unk>",
"o",
"hn</w>",
"pair</w>",
]
assert output.offsets == [
(0, 1),
(1, 2),
(3, 7),
(8, 10),
(11, 12),
(12, 13),
(13, 15),
(0, 4),
]
assert output.type_ids == [0, 0, 0, 0, 0, 0, 0, 1]
def test_lowercase(self, openai_files):
tokenizer = CharBPETokenizer.from_file(openai_files["vocab"],
openai_files["merges"],
lowercase=True)
output = tokenizer.encode("My name is John",
"pair",
add_special_tokens=False)
assert output.ids == [547, 1362, 544, 2476, 2688]
assert output.tokens == [
"my</w>", "name</w>", "is</w>", "john</w>", "pair</w>"
]
assert output.offsets == [(0, 2), (3, 7), (8, 10), (11, 15), (0, 4)]
assert output.type_ids == [0, 0, 0, 0, 1]
def test_multiprocessing_with_parallelism(self, openai_files):
tokenizer = CharBPETokenizer.from_file(openai_files["vocab"],
openai_files["merges"])
multiprocessing_with_parallelism(tokenizer, False)
multiprocessing_with_parallelism(tokenizer, True)
def test_decoding(self, openai_files):
tokenizer = CharBPETokenizer.from_file(openai_files["vocab"],
openai_files["merges"],
lowercase=True)
decoded = tokenizer.decode(tokenizer.encode("my name is john").ids)
assert decoded == "my name is john"
