Ignore huge values

Author: dflook

src/python_minifier/transforms/constant_folding.py

@@ -35,19 +35,23 @@ def visit_BinOp(self, node):
 
         if isinstance(value, float) and math.isnan(value):
             # There is no nan literal.
-            new_node = ast.Call(func=ast.Name('float', ctx=ast.Load()), args=[ast.Str('nan')], keywords=[])
+            new_node = ast.Call(func=ast.Name(id='float', ctx=ast.Load()), args=[ast.Str(s='nan')], keywords=[])
         elif isinstance(value, str):
             new_node = ast.Str(s=value)
         elif isinstance(value, bytes):
             new_node = ast.Bytes(s=value)
         elif isinstance(value, bool):
             new_node = ast.NameConstant(value=value)
         elif isinstance(value, (int, float, complex)):
-            if repr(value).startswith('-'):
-                # Represent negative numbers as a USub UnaryOp, so that the ast roundtrip is correct
-                new_node = ast.UnaryOp(op=ast.USub(), operand=ast.Num(n=-value))
-            else:
-                new_node = ast.Num(n=value)
+            try:
+                if repr(value).startswith('-'):
+                    # Represent negative numbers as a USub UnaryOp, so that the ast roundtrip is correct
+                    new_node = ast.UnaryOp(op=ast.USub(), operand=ast.Num(n=-value))
+                else:
+                    new_node = ast.Num(n=value)
+            except Exception:
+                # repr(value) failed, most likely due to some limit
+                return node
         else:
             return node