tamaki callback usage update

.gitignore

@@ -124,3 +124,5 @@ local.properties
 *.cobaltlog
 *.error
 *.output
+
+bench/qc_simulation/data/

qtensor/optimisation/Optimizer.py

@@ -236,17 +236,28 @@ def _get_ordering_ints(self, graph, inplace=True):
         return peo, [self.treewidth]
 
 class TamakiOptimizer(GreedyOptimizer):
-    def __init__(self, max_width=None, *args, wait_time=5, **kwargs):
+    def __init__(self, max_width=None, *args, wait_time=5,
+                update_callback=None,
+                  **kwargs):
+        """
+        Args:
+            - max_width: stop when width is less than max_width
+            - wait_time: maximum time to wait for tamaki to finish
+            - update_callback: callback function to update progress bar accepts tuple
+                (time, width). Called when width is changed.
+        """
         super().__init__(*args, **kwargs)
         self.wait_time = wait_time
         self.max_width = max_width
-        self._update_callback = **kwargs.get('update_callback')
+        self._update_callback = update_callback
 
     def _get_ordering(self, graph, inplace=True):
         node_names = nx.get_node_attributes(graph, 'name')
         node_sizes = nx.get_node_attributes(graph, 'size')
         peo, tw = qtree.graph_model.peo_calculation.get_upper_bound_peo_pace2017_interactive(
-                graph, method="tamaki", max_time=self.wait_time, max_width=self.max_width)
+                graph, method="tamaki", max_time=self.wait_time, max_width=self.max_width,
+                callback=self._update_callback
+                )
 
 
         peo = [qtree.optimizer.Var(var, size=node_sizes[var],