🚨 apply flake8 to deepchem.feat

      mol: rdkit Mol

        To be featurized.

    """

    N = mol.GetNumAtoms()

    # TODO(rbharath): Should this return a list?

    bohr_coords = self.coordinates_featurizer._featurize(mol)[0]

    coords = get_coords(mol)

    Parameters

    ----------

    mol_pdb_file: Str 

    mol_pdb_file: str

      Filename for ligand pdb file.

    protein_pdb_file: Str 

    protein_pdb_file: str

      Filename for protein pdb file.

    """

    mol_coords, ob_mol = load_molecule(mol_pdb_file)

      system_coords, system_neighbor_list, system_z = self.featurize_mol(

          system_coords, system_mol, self.complex_num_atoms)

    except ValueError as e:

    except ValueError:

      logging.warning(

          "max_atoms was set too low. Some complexes too large and skipped")

      return None

# flake8: noqa

import numpy as np

import deepchem as dc

from deepchem.feat.base_classes import MolecularFeaturizer

"""

Data Structures used to represented molecules for convolutions.

"""

# flake8: noqa

import csv

import random

import numpy as np

from deepchem.utils.typing import RDKitMol

from deepchem.feat.base_classes import MolecularFeaturizer

import numpy as np

class CircularFingerprint(MolecularFeaturizer):

# flake8: noqa

import logging

import time

import hashlib