code: def from_dict(cls, d: Dict, fmt: str = None, **kwargs):
          
          if fmt == "abivars":
              from pymatgen.io.abinit.abiobjects import lattice_from_abivars
  
              kwargs.update(d)
              return lattice_from_abivars(cls=cls, **kwargs)
  
          if "matrix" in d:
              return cls(d["matrix"])
          else:
              return cls.from_parameters(
                  d["a"], d["b"], d["c"], d["alpha"], d["beta"], d["gamma"]
              )
docs: Create a Lattice from a dictionary containing the a, b, c, alpha, beta,
          and gamma parameters if fmt is None.
  
          If fmt == "abivars", the function build a `Lattice` object from a
          dictionary with the Abinit variables `acell` and `rprim` in Bohr.
          If acell is not given, the Abinit default is used i.e. [1,1,1] Bohr
  
          Example:
  
              Lattice.from_dict(fmt="abivars", acell=3*[10], rprim=np.eye(3))