@@ -18,6 +18,12 @@
 from .base import CFFBaseInterface, have_cfflib
 
 
+def _read_pickle(fname):
+import pickle
+with open(fname, 'rb') as f:
+return pickle.load(f)
+
+
 class CFFConverterInputSpec(BaseInterfaceInputSpec):
 graphml_networks = InputMultiPath(
 File(exists=True), desc="list of graphML networks"
@@ -135,7 +141,7 @@ def _run_interface(self, runtime):
 unpickled = []
 for ntwk in self.inputs.gpickled_networks:
 _, ntwk_name, _ = split_filename(ntwk)
-unpickled = nx.read_gpickle(ntwk)
+unpickled = _read_pickle(ntwk)
 cnet = cf.CNetwork(name=ntwk_name)
 cnet.set_with_nxgraph(unpickled)
 a.add_connectome_network(cnet)

@@ -24,13 +24,18 @@
 iflogger = logging.getLogger("nipype.interface")
 
 
+def _read_pickle(fname):
+with open(fname, 'rb') as f:
+return pickle.load(f)
+
+
 def ntwks_to_matrices(in_files, edge_key):
-first = nx.read_gpickle(in_files[0])
+first = _read_pickle(in_files[0])
 files = len(in_files)
 nodes = len(first.nodes())
 matrix = np.zeros((nodes, nodes, files))
 for idx, name in enumerate(in_files):
-graph = nx.read_gpickle(name)
+graph = _read_pickle(name)
 for u, v, d in graph.edges(data=True):
 try:
 graph[u][v]["weight"] = d[
@@ -162,7 +167,7 @@ def _run_interface(self, runtime):
 else:
 node_ntwk_name = self.inputs.in_group1[0]
 
-node_network = nx.read_gpickle(node_ntwk_name)
+node_network = _read_pickle(node_ntwk_name)
 iflogger.info(
 "Populating node dictionaries with attributes from %s", node_ntwk_name
 )

@@ -24,11 +24,16 @@
 iflogger = logging.getLogger("nipype.interface")
 
 
+def _read_pickle(fname):
+with open(fname, 'rb') as f:
+return pickle.load(f)
+
+
 def read_unknown_ntwk(ntwk):
 if not isinstance(ntwk, nx.classes.graph.Graph):
 _, _, ext = split_filename(ntwk)
 if ext == ".pck":
-ntwk = nx.read_gpickle(ntwk)
+ntwk = _read_pickle(ntwk)
 elif ext == ".graphml":
 ntwk = nx.read_graphml(ntwk)
 return ntwk
@@ -121,7 +126,7 @@ def average_networks(in_files, ntwk_res_file, group_id):
 counting_ntwk = ntwk.copy()
 # Sums all the relevant variables
 for index, subject in enumerate(in_files):
-tmp = nx.read_gpickle(subject)
+tmp = _read_pickle(subject)
 iflogger.info("File %s has %i edges", subject, tmp.number_of_edges())
 edges = list(tmp.edges())
 for edge in edges:
@@ -461,7 +466,7 @@ def _run_interface(self, runtime):
 edgentwks = list()
 kntwks = list()
 matlab = list()
-ntwk = nx.read_gpickle(self.inputs.in_file)
+ntwk = _read_pickle(self.inputs.in_file)
 
 # Each block computes, writes, and saves a measure
 # The names are then added to the output .pck file list