6c6570915dfe57012c23a25057c464e005bcede8,dipy/core/gradients.py,GradientTable,__init__,#GradientTable#Any#Any#Any#Any#Any#Any#,4

Before Change

        self.b0_threshold = b0_threshold

        if hasattr(bvals,"shape") and hasattr(bvals,"shape"):
            self.bvals, self.bvecs = bvals, bvecs

        if hasattr(bvals,"shape") and bvecs is None:

After Change

        if isinstance(bvals, basestring):
              bvals, _ = io.read_bvals_bvecs(bvals, None)
        if isinstance(bvecs, basestring):
              _, bvecs = io.read_bvals_bvecs(None, bvecs)

        if isinstance(bvals, np.ndarray):
            self.bvals = bvals
        if isinstance(bvecs, np.ndarray):

Instances