Create test_model.py
Browse files- test_model.py +32 -0
test_model.py
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import unittest
|
| 2 |
+
from tokenizer import BPETokenizer
|
| 3 |
+
|
| 4 |
+
class TokenizerTest(unittest.TestCase):
|
| 5 |
+
def setUp(self):
|
| 6 |
+
self.vocab = {
|
| 7 |
+
"<PAD>":0,
|
| 8 |
+
"<UNK>":1,
|
| 9 |
+
"a":2,
|
| 10 |
+
"b":3,
|
| 11 |
+
"c":4,
|
| 12 |
+
"ab":5,
|
| 13 |
+
"bc":6,
|
| 14 |
+
"abc":7,
|
| 15 |
+
"</w>":8
|
| 16 |
+
}
|
| 17 |
+
self.merges = [["a","b"],["b","c"],["ab","c"]]
|
| 18 |
+
self.tokenizer = BPETokenizer(vocab=self.vocab, merges=self.merges)
|
| 19 |
+
|
| 20 |
+
def test_tokenize_and_encode(self):
|
| 21 |
+
tokens = self.tokenizer.tokenize("abc")
|
| 22 |
+
self.assertTrue(isinstance(tokens, list))
|
| 23 |
+
indices = self.tokenizer.encode("abc")
|
| 24 |
+
self.assertTrue(all(isinstance(i, int) for i in indices))
|
| 25 |
+
|
| 26 |
+
def test_decode(self):
|
| 27 |
+
encoded = self.tokenizer.encode("abc")
|
| 28 |
+
decoded = self.tokenizer.decode(encoded)
|
| 29 |
+
self.assertTrue(isinstance(decoded, str))
|
| 30 |
+
|
| 31 |
+
if __name__ == "__main__":
|
| 32 |
+
unittest.main()
|