fix few failurs

py/rvspecfit/fitter_ccf.py

@@ -169,7 +169,7 @@ def fit(specdata, config):
             # the best value is l = ((S/E^2) xx T)/(1/E^2 xx T^2)
             # Thus  the best chisq is -((S/E^2) xx T)^2/(1/E^2 xx T^2)
             # where xx is the convolution operator
-            if ccf_confs[ii].continuum:
+            if ccf_confs[ii]['continuum']:
                 chisq = -2 * curccf0 + curccf1
             else:
                 chisq = (-curccf0**2 / curccf1)

py/rvspecfit/spec_inter.py

@@ -67,7 +67,7 @@ def __init__(self, uvecs, vecs, idgrid):
         self.edges = [np.array(_) for _ in edges]  # 0,1,0,1 vectors
         self.lens = np.array([len(_) for _ in self.uvecs])
         self.Ns = self.idgrid.shape
-        self.ptp = vecs.ptp(axis=1)
+        self.ptp = np.ptp(vecs, axis=1)
         self.tree = scipy.spatial.cKDTree(vecs.T / self.ptp[None, :],
                                           compact_nodes=False,
                                           balanced_tree=False)
@@ -123,7 +123,7 @@ def __init__(self, uvecs, idgrid, vecs, dats, exp=True):
         # list of vectors corresponding to vertices of unit cube, i.e.
         # [[0,0], [0,1], [1,0], [1, 1]]
 
-        self.ptp = vecs.ptp(axis=1)
+        self.ptp = np.ptp(vecs, axis=1)
         self.tree = scipy.spatial.cKDTree(vecs.T / self.ptp[None, :])
 
     def get_nearest(self, p):