[REF] Cache nodes in workflow to speed up construction, other optimizations

nipype/pipeline/engine/utils.py

@@ -753,7 +753,7 @@ def _merge_graphs(
     # nodes of the supergraph.
     supernodes = supergraph.nodes()
     ids = [n._hierarchy + n._id for n in supernodes]
-    if len(np.unique(ids)) != len(ids):
+    if len(set(ids)) != len(ids):
         # This should trap the problem of miswiring when multiple iterables are
         # used at the same level. The use of the template below for naming
         # updates to nodes is the general solution.
@@ -1100,11 +1100,12 @@ def make_field_func(*pair):
             old_edge_dict = jedge_dict[jnode]
             # the edge source node replicates
             expansions = defaultdict(list)
-            for node in graph_in.nodes():
+            for node in graph_in:
                 for src_id in list(old_edge_dict.keys()):
                     # Drop the original JoinNodes; only concerned with
                     # generated Nodes
-                    if hasattr(node, "joinfield") and node.itername == src_id:
+                    itername = node.itername
+                    if hasattr(node, "joinfield") and itername == src_id:
                         continue
                     # Patterns:
                     #   - src_id : Non-iterable node
@@ -1113,10 +1114,10 @@ def make_field_func(*pair):
                     #   - src_id.[a-z]I.[a-z]\d+ :
                     #       Non-IdentityInterface w/ iterables
                     #   - src_idJ\d+ : JoinNode(IdentityInterface)
-                    if re.match(
-                        src_id + r"((\.[a-z](I\.[a-z])?|J)\d+)?$", node.itername
-                    ):
-                        expansions[src_id].append(node)
+                    if itername.startswith(src_id):
+                        suffix = itername[len(src_id):]
+                        if re.fullmatch(r"((\.[a-z](I\.[a-z])?|J)\d+)?", suffix):
+                            expansions[src_id].append(node)
             for in_id, in_nodes in list(expansions.items()):
                 logger.debug(
                     "The join node %s input %s was expanded" " to %d nodes.",

nipype/pipeline/engine/workflows.py

@@ -59,6 +59,9 @@ def __init__(self, name, base_dir=None):
         super(Workflow, self).__init__(name, base_dir)
         self._graph = nx.DiGraph()
 
+        self._nodes_cache = set()
+        self._nested_workflows_cache = set()
+
     # PUBLIC API
     def clone(self, name):
         """Clone a workflow
@@ -141,7 +144,7 @@ def connect(self, *args, **kwargs):
             self.disconnect(connection_list)
             return
 
-        newnodes = []
+        newnodes = set()
         for srcnode, destnode, _ in connection_list:
             if self in [srcnode, destnode]:
                 msg = (
@@ -151,9 +154,9 @@ def connect(self, *args, **kwargs):
 
                 raise IOError(msg)
             if (srcnode not in newnodes) and not self._has_node(srcnode):
-                newnodes.append(srcnode)
+                newnodes.add(srcnode)
             if (destnode not in newnodes) and not self._has_node(destnode):
-                newnodes.append(destnode)
+                newnodes.add(destnode)
         if newnodes:
             self._check_nodes(newnodes)
             for node in newnodes:
@@ -163,15 +166,16 @@ def connect(self, *args, **kwargs):
         connected_ports = {}
         for srcnode, destnode, connects in connection_list:
             if destnode not in connected_ports:
-                connected_ports[destnode] = []
+                connected_ports[destnode] = set()
             # check to see which ports of destnode are already
             # connected.
             if not disconnect and (destnode in self._graph.nodes()):
                 for edge in self._graph.in_edges(destnode):
                     data = self._graph.get_edge_data(*edge)
-                    for sourceinfo, destname in data["connect"]:
-                        if destname not in connected_ports[destnode]:
-                            connected_ports[destnode] += [destname]
+                    connected_ports[destnode].update(
+                        destname
+                        for _, destname in data["connect"]
+                    )
             for source, dest in connects:
                 # Currently datasource/sink/grabber.io modules
                 # determine their inputs/outputs depending on
@@ -226,7 +230,7 @@ def connect(self, *args, **kwargs):
                         )
                     if sourcename and not srcnode._check_outputs(sourcename):
                         not_found.append(["out", srcnode.name, sourcename])
-                connected_ports[destnode] += [dest]
+                connected_ports[destnode].add(dest)
         infostr = []
         for info in not_found:
             infostr += [
@@ -269,6 +273,9 @@ def connect(self, *args, **kwargs):
                 "(%s, %s): new edge data: %s", srcnode, destnode, str(edge_data)
             )
 
+        if newnodes:
+            self._update_node_cache()
+
     def disconnect(self, *args):
         """Disconnect nodes
         See the docstring for connect for format.
@@ -325,7 +332,7 @@ def add_nodes(self, nodes):
         newnodes = []
         all_nodes = self._get_all_nodes()
         for node in nodes:
-            if self._has_node(node):
+            if node in all_nodes:
                 raise IOError("Node %s already exists in the workflow" % node)
             if isinstance(node, Workflow):
                 for subnode in node._get_all_nodes():
@@ -346,6 +353,7 @@ def add_nodes(self, nodes):
             if node._hierarchy is None:
                 node._hierarchy = self.name
         self._graph.add_nodes_from(newnodes)
+        self._update_node_cache()
 
     def remove_nodes(self, nodes):
         """ Remove nodes from a workflow
@@ -356,6 +364,7 @@ def remove_nodes(self, nodes):
             A list of EngineBase-based objects
         """
         self._graph.remove_nodes_from(nodes)
+        self._update_node_cache()
 
     # Input-Output access
     @property
@@ -903,22 +912,32 @@ def _set_node_input(self, node, param, source, sourceinfo):
         node.set_input(param, deepcopy(newval))
 
     def _get_all_nodes(self):
-        allnodes = []
-        for node in self._graph.nodes():
-            if isinstance(node, Workflow):
-                allnodes.extend(node._get_all_nodes())
-            else:
-                allnodes.append(node)
+        allnodes = self._nodes_cache - self._nested_workflows_cache
+        for node in self._nested_workflows_cache:
+            allnodes |= node._get_all_nodes()
         return allnodes
 
-    def _has_node(self, wanted_node):
-        for node in self._graph.nodes():
-            if wanted_node == node:
-                return True
+    def _update_node_cache(self):
+        nodes = set(self._graph)
+
+        added_nodes = nodes.difference(self._nodes_cache)
+        removed_nodes = self._nodes_cache.difference(nodes)
+
+        self._nodes_cache = nodes
+        self._nested_workflows_cache.difference_update(removed_nodes)
+
+        for node in added_nodes:
             if isinstance(node, Workflow):
-                if node._has_node(wanted_node):
-                    return True
-        return False
+                self._nested_workflows_cache.add(node)
+
+    def _has_node(self, wanted_node):
+        return (
+            wanted_node in self._nodes_cache or
+            any(
+                wf._has_node(wanted_node)
+                for wf in self._nested_workflows_cache
+            )
+        )
 
     def _create_flat_graph(self):
         """Make a simple DAG where no node is a workflow."""
@@ -949,7 +968,7 @@ def _generate_flatgraph(self):
             raise Exception(
                 ("Workflow: %s is not a directed acyclic graph " "(DAG)") % self.name
             )
-        nodes = list(nx.topological_sort(self._graph))
+        nodes = list(self._graph.nodes)
         for node in nodes:
             logger.debug("processing node: %s", node)
             if isinstance(node, Workflow):