changed argument to 'gen_mirrored_samples' for clarity

not storing the value because it is not used after the
first initialization.

nifty5/minimization/kl_energy.py

@@ -8,7 +8,7 @@ from .. import utilities
 
 class KL_Energy(Energy):
     def __init__(self, position, h, nsamp, constants=[],
-                 constants_samples=None, mirror_samples=False,
+                 constants_samples=None, gen_mirrored_samples=False,
                  _samples=None):
         super(KL_Energy, self).__init__(position)
         if h.domain is not position.domain:
@@ -18,13 +18,12 @@ class KL_Energy(Energy):
         if constants_samples is None:
             constants_samples = constants
         self._constants_samples = constants_samples
-        self._mirror_samples = mirror_samples
         if _samples is None:
             met = h(Linearization.make_partial_var(
                 position, constants_samples, True)).metric
             _samples = tuple(met.draw_sample(from_inverse=True)
                              for _ in range(nsamp))
-            if mirror_samples:
+            if gen_mirrored_samples:
                 _samples += tuple(-s for s in _samples)
         self._samples = _samples
 
@@ -43,9 +42,9 @@ class KL_Energy(Energy):
         self._metric = None
 
     def at(self, position):
-        return KL_Energy(position, self._h, 0, self._constants,
-                         self._constants_samples, self._mirror_samples,
-                         self._samples)
+        return KL_Energy(position, self._h, 0,
+                         self._constants, self._constants_samples,
+                         _samples = self._samples)
 
     @property
     def value(self):