Loading deepchem/feat/tests/test_smiles_tokenizer.py +0 −1 Original line number Diff line number Diff line Loading @@ -18,6 +18,5 @@ class TestSmilesTokenizer(TestCase): model.num_parameters() tokenizer = SmilesTokenizer(vocab_path, max_len=model.config.max_position_embeddings) print(tokenizer.encode("CCC(CC)COC(=O)[C@H](C)N[P@](=O)(OC[C@H]1O[C@](C#N)([C@H](O)[C@@H]1O)C1=CC=C2N1N=CN=C2N)OC1=CC=CC=C1")) assert tokenized_smiles == tokenizer.encode("CCC(CC)COC(=O)[C@H](C)N[P@](=O)(OC[C@H]1O[C@](C#N)([C@H](O)[C@@H]1O)C1=CC=C2N1N=CN=C2N)OC1=CC=CC=C1") Loading
deepchem/feat/tests/test_smiles_tokenizer.py +0 −1 Original line number Diff line number Diff line Loading @@ -18,6 +18,5 @@ class TestSmilesTokenizer(TestCase): model.num_parameters() tokenizer = SmilesTokenizer(vocab_path, max_len=model.config.max_position_embeddings) print(tokenizer.encode("CCC(CC)COC(=O)[C@H](C)N[P@](=O)(OC[C@H]1O[C@](C#N)([C@H](O)[C@@H]1O)C1=CC=C2N1N=CN=C2N)OC1=CC=CC=C1")) assert tokenized_smiles == tokenizer.encode("CCC(CC)COC(=O)[C@H](C)N[P@](=O)(OC[C@H]1O[C@](C#N)([C@H](O)[C@@H]1O)C1=CC=C2N1N=CN=C2N)OC1=CC=CC=C1")
