Fix new dtype values for Numpy.

Numpy does not allow anylonger types np.int or np.float.
These are replaced simply by int and float python native types.

src/msspec/calcio.py

@@ -727,15 +727,15 @@ class SpecIO(object):
         content += line
 
         nat = p.extra_nat
-        nra_arr = np.ones((nat), dtype=np.int)
+        nra_arr = np.ones((nat), dtype=int)
         thfwd_arr = np.ones((nat))
         path_filtering = p.extra_parameters['calculation'].get_parameter(
             'path_filtering').value
         if (path_filtering is not None and
                 'backward_scattering' in path_filtering):
-            ibwd_arr = np.ones((nat), dtype=np.int)
+            ibwd_arr = np.ones((nat), dtype=int)
         else:
-            ibwd_arr = np.zeros((nat), dtype=np.int)
+            ibwd_arr = np.zeros((nat), dtype=int)
         thbwd_arr = np.ones((nat))
         for at in p.extra_atoms:
             i = at.get('proto_index') - 1

src/msspec/calculator.py

@@ -301,7 +301,7 @@ class _MSCALCULATOR(Calculator):
         wf = 4.5
         source_energy = self.source_parameters.get_parameter('energy').value
         ke = source_energy - binding_energy - wf
-        #return np.array(ke, dtype=np.float).flatten()
+        #return np.array(ke, dtype=float).flatten()
         return ke
 
 

src/msspec/parameters.py

@@ -1310,8 +1310,8 @@ class ScanParameters(BaseParameters):
         #    LOGGER.error('Incompatible options!')
         #    raise ValueError(msg)
 
-        # p._value = np.array(p.value, dtype=np.float).flatten()
-        arr = np.array(p.value, dtype=np.float).flatten()
+        # p._value = np.array(p.value, dtype=float).flatten()
+        arr = np.array(p.value, dtype=float).flatten()
 
         theta0 = arr[0]
         theta1 = arr[-1]
@@ -1345,7 +1345,7 @@ class ScanParameters(BaseParameters):
        #    LOGGER.error('Incompatible options')
        #    raise ValueError(msg)
 
-        arr = np.array(p.value, dtype=np.float).flatten()
+        arr = np.array(p.value, dtype=float).flatten()
 
         phi0 = arr[0]
         phi1 = arr[-1]