band gap dataset loading issue

[yuanqidu]

It looks like the splitter passed a float into Chem.MolFromSmiles.

The error message is as follows:
Exception message: Python argument types in
rdkit.Chem.rdmolfiles.CanonicalRankAtoms(NoneType)
did not match C++ signature:
CanonicalRankAtoms(RDKit::ROMol mol, bool breakTies=True, bool includeChirality=True, bool includeIsotopes=True)

/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
return array(a, dtype, copy=False, order=order)

job exception: No registered converter was able to produce a C++ rvalue of type std::__cxx11::basic_string<wchar_t, std::char_traits<wchar_t>, std::allocator<wchar_t> > from this Python object of type float

0%| | 0/16 [00:05<?, ?trial/s, best loss=?]
Traceback (most recent call last):
File "gnn.py", line 235, in
val_metrics, test_metrics = bayesian_optimization(args)
File "gnn.py", line 160, in bayesian_optimization
max_evals=args['num_trials'])
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/hyperopt/fmin.py", line 553, in fmin
rval.exhaust()
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/hyperopt/fmin.py", line 356, in exhaust
self.run(self.max_evals - n_done, block_until_done=self.asynchronous)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/hyperopt/fmin.py", line 292, in run
self.serial_evaluate()
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/hyperopt/fmin.py", line 170, in serial_evaluate
result = self.domain.evaluate(spec, ctrl)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/hyperopt/base.py", line 907, in evaluate
rval = self.fn(pyll_rval)
File "gnn.py", line 143, in objective
val_metrics, test_metrics = main(save_path, configure, hyperparams)
File "gnn.py", line 51, in main
args, tasks, all_dataset, transformers = load_dataset(args)
File "/home/v-yuanqidu/moleculenet/examples/utils.py", line 101, in load_dataset
featurizer=featurizer, splitter=splitter, reload=False)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/deepchem/molnet/load_function/material_datasets/load_bandgap.py", line 106, in load_bandgap
return loader.load_dataset('bandgap', reload)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/deepchem/molnet/load_function/molnet_loader.py", line 186, in load_dataset
train, valid, test = self.splitter.train_valid_test_split(dataset)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/deepchem/splits/splitters.py", line 165, in train_valid_test_split
log_every_n=log_every_n)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/deepchem/splits/splitters.py", line 1362, in split
scaffold_sets = self.generate_scaffolds(dataset)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/deepchem/splits/splitters.py", line 1405, in generate_scaffolds
scaffold = _generate_scaffold(smiles)
File "/home/v-yuanqidu/.conda/envs/deepchem/lib/python3.7/site-packages/deepchem/splits/splitters.py", line 1178, in _generate_scaffold
mol = Chem.MolFromSmiles(smiles)
TypeError: No registered converter was able to produce a C++ rvalue of type std::__cxx11::basic_string<wchar_t, std::char_traits<wchar_t>, std::allocator<wchar_t> > from this Python object of type float

[rbharath]

Hmm, this is a little puzzling.

@ncfrey nd-02110114 Would either of you have any ideas on what could be causing the failure in the bandgap dataset?