fix serialization of numpy scalars in job XML under numpy 2

numpy 2 changed repr(np.float64(1e-06)) to 'np.float64(1e-06)', so values
taken from lin_range() ended up unparsable in the job file: the result
script failed with "could not convert string to float". Description items
and state times are now converted to builtin types before writing.

src/damaris/experiments/Experiment.py

@@ -13,7 +13,7 @@ class StateSimple(StateBase):
         super(StateSimple, self).__init__()
         if time < 0:
             raise AssertionError("time for state is negative!")
-        self.time = time
+        self.time = float(time)
         self.content = content
 
     def to_xml(self, indent = ""):
@@ -190,7 +190,7 @@ class Experiment:
 
         Typically only used in very special cases.
         """
-        self.state_list.append('<state time="%s">\n' % repr(time))
+        self.state_list.append('<state time="%s">\n' % repr(float(time)))
         self.total_time[-1] += time
 
     ## End of *state_start*
@@ -679,19 +679,19 @@ class Experiment:
                     value=""
                 elif type(value) is float or isinstance(value, numpy.floating):
                     type_string="Float"
-                    value=repr(value)
+                    value=repr(float(value))
                 elif type(value) is int or isinstance(value, numpy.integer):
                     type_string="Int"
-                    value=repr(value)
+                    value=repr(int(value))
                 elif type(value) is int:
                     type_string="Long"
                     value=repr(value)
                 elif type(value) is complex or isinstance(value, numpy.complexfloating):
                     type_string="Complex"
-                    value=repr(value)
+                    value=repr(complex(value))
                 elif type(value) is bool or isinstance(value, numpy.bool_):
                     type_string="Boolean"
-                    value=repr(value)
+                    value=repr(bool(value))
                 elif type(value) in (str,):
                     type_string="String"
                 else: