apply_olo not used anywhere. Deleting

scilpy/connectivity/matrix_tools.py

@@ -43,27 +43,6 @@ def compute_olo(array):
     return perm
 
 
-def apply_olo(array, perm):
-    """
-    Apply the permutation from compute_RCM.
-
-    Parameters
-    ----------
-    array: ndarray (NxN)
-        Sparse connectivity matrix.
-    perm: ndarray (N,)
-        Permutations for rows and columns to be applied.
-
-    Returns
-    -------
-    ndarray (N,N)
-        Reordered array.
-    """
-    if array.ndim != 2:
-        raise ValueError('RCM can only be applied to 2D array.')
-    return array[perm].T[perm]
-
-
 def apply_reordering(array, ordering):
     """
     Apply a non-symmetric array ordering that support non-square output.
@@ -101,13 +80,12 @@ def apply_reordering(array, ordering):
 def evaluate_graph_measures(conn_matrix, len_matrix, avg_node_wise,
                             small_world):
     """
-    toDo Finish docstring
-
     Parameters
     ----------
     conn_matrix: np.ndarray
-        2D matrix of connectivity weights.
-    len_matrix: np.ndarray of shape ??
+        2D matrix of connectivity weights. Typicaly a streamline count matrix.
+    len_matrix: np.ndarray
+        2D matrix of bundle lengths.
     avg_node_wise: bool
         If true, return a single value for node-wise measures.
     small_world: bool

scilpy/connectivity/tests/test_connectivity.py

@@ -29,6 +29,7 @@ def test_compute_triu_connectivity_from_labels():
 
 
 def test_compute_connectivity_matrices_from_hdf5():
+    # ToDo. We will have to create a test hdf5.
     pass
 
 

scilpy/connectivity/tests/test_matrix_tools.py

@@ -5,10 +5,7 @@
 
 
 def test_compute_olo():
-    pass
-
-
-def test_apply_olo():
+    # Simple and basically only using hierarchy's function. Not testing.
     pass