def drop_if_exists(self, table):
        blueprint = self._create_blueprint(table)

        blueprint.drop_if_exists()

        self._build(blueprint)
Generate a sparse random matrix given column class distributions
dataset/ETHPy150Open sdispater/orator/orator/schema/builder.py/SchemaBuilder.drop_if_exists--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/utils/random.py/random_choice_csc