feat: delay pandas / numpy imports

pythonwhat/Test.py

@@ -109,14 +109,19 @@ def areinstance(x, y, tuple_of_classes):
 # First try to the faster equality functions. If these don't pass,
 # Run the assertions that are typically slower.
 def is_equal(x, y):
-    import pandas as pd
-    from pandas.testing import assert_frame_equal, assert_series_equal
-    import numpy as np
     try:
+        if areinstance(x, y, (str, int, float, bool, type(None), dict, list, tuple, set)):
+            return x == y
         if areinstance(x, y, (Exception,)):
             # Types of errors don't matter (this is debatable)
             return str(x) == str(y)
-        if areinstance(x, y, (np.ndarray, dict, list, tuple)):
+
+        # Delay importing pandas / numpy until absolutely necessary. This is important for performance in Pyodide.
+        import pandas as pd
+        from pandas.testing import assert_frame_equal, assert_series_equal
+        import numpy as np
+
+        if areinstance(x, y, (np.ndarray,)):
             np.testing.assert_equal(x, y)
             return True
         elif areinstance(x, y, (map, filter)):