code: def compute_all_ecfp(
      mol: RDKitMol, indices: Optional[Set[int]] = None, degree: int = 2
  ) -> Dict[int, str]:
      """Obtain molecular fragment for all atoms emanating outward to given degree.
  
      For each fragment, compute SMILES string (for now) and hash to
      an int. Return a dictionary mapping atom index to hashed
      SMILES.
  
      Parameters
      ----------
      mol: rdkit Molecule
          Molecule to compute ecfp fragments on
      indices: Optional[Set[int]]
          List of atom indices for molecule. Default is all indices. If
          specified will only compute fragments for specified atoms.
      degree: int
          Graph degree to use when computing ECFP fingerprints
  
      Returns
      ----------
      dict
          Dictionary mapping atom index to hashed smiles.
      """
  
      ecfp_dict = {}
      from rdkit import Chem
  
      for i in range(mol.GetNumAtoms()):
          if indices is not None and i not in indices:
              continue
          env = Chem.FindAtomEnvironmentOfRadiusN(
              mol, degree, i, useHs=True
          )
          submol = Chem.PathToSubmol(mol, env)
          smile = Chem.MolToSmiles(submol)
          ecfp_dict[i] = "%s,%s" % (
              mol.GetAtoms()[i].GetAtomicNum(),
              smile,
          )
  
      return ecfp_dict
  
imports: import os
  import logging
  import itertools
  import numpy
  from io import StringIO
  from deepchem.utils.pdbqt_utils import pdbqt_to_pdb
  from deepchem.utils.pdbqt_utils import convert_mol_to_pdbqt
  from deepchem.utils.pdbqt_utils import convert_protein_to_pdbqt
  from deepchem.utils.geometry_utils import compute_pairwise_distances
  from deepchem.utils.geometry_utils import compute_centroid
  from deepchem.utils.fragment_utils import MolecularFragment
  from deepchem.utils.fragment_utils import MoleculeLoadException
  from typing import Any, List, Sequence, Tuple, Set, Optional, Dict, Union
  from deepchem.utils.typing import OneOrMany, RDKitMol
label_desc: Use image node_id 10 for calling a global function with example usage: compute_all_ecfp(mol, indices, degree) and returns: ecfp_dict