Combining 'class_weight' with SMOTE

Question

This might sound a weird question, but I could not find enough details in sklearn documentation about 'class_weight'. Can we first oversample the dataset using SMOTE and then call the classifier with the 'class_weight' option? As my testing set is highly imbalanced, I want to penalize misclassifications for minority classes. Thank you!