done sorting dependencies logic; verified with temp testing

tests/nerf/test_graph.py

@@ -1,5 +1,5 @@
+import numpy as np
 import pytest
-
 from mattport.nerf.graph import Graph
 
 
@@ -135,7 +135,6 @@ def test_construct_graph_repeat():
 
     test_graph.modules_config["mlp_0"]["inputs"][1] = "encoder_1"
     test_graph.modules_config["encoder_1"] = {"class_name": "Encoding", "inputs": ["x"], "meta_data": {"out_dim": 8}}
-    print(test_graph.modules_config["mlp_0"]["inputs"][1])
     roots = test_graph.construct_graph()
     assert len(roots) == 2
 
@@ -157,3 +156,30 @@ def test_construct_graph_complex():
 
     targets_p3 = [("encoder_0", 3), ("mlp_2", 0)]
     check_consistency(roots[0], targets_p3)
+
+
+def test_ordering():
+    """test dependency ordering of constructed graph"""
+    test_basic_graph = Graph(create_basic_graph())
+    _ = test_basic_graph.construct_graph()
+    order = test_basic_graph.get_module_order()
+    target = ["encoder_0", "mlp_0", "mlp_1"]
+    assert np.array_equal(target, order)
+
+    test_repeated_graph = Graph(create_repeat_graph())
+    _ = test_repeated_graph.construct_graph()
+    order = test_repeated_graph.get_module_order()
+    target = ["encoder_0", "mlp_0", "mlp_1"]
+    assert np.array_equal(target, order)
+
+    test_repeated_graph.modules_config["mlp_0"]["inputs"][1] = "encoder_1"
+    test_repeated_graph.modules_config["encoder_1"] = {"class_name": "Encoding", "inputs": ["x"], "meta_data": {"out_dim": 8}}
+    order = test_repeated_graph.get_module_order()
+    assert order.index('mlp_0') > order.index('encoder_0') and order.index('mlp_0') > order.index('encoder_1')
+
+    test_complex_graph = Graph(create_complex_graph())
+    _ = test_complex_graph.construct_graph()
+    order = test_complex_graph.get_module_order()
+    assert order.index('mlp_2') > order.index('mlp_0')
+    assert order.index('mlp_2') > order.index('encoder_0')
+    assert order.index('mlp_3') > order.index('encoder_0')