code: def optimizer_array(self):
          if self.__dict__.get('_optimizer_copy_', None) is None or self.size != self._optimizer_copy_.size:
              self._optimizer_copy_ = np.empty(self.size)
          if not self._optimizer_copy_transformed:
              self._optimizer_copy_.flat = self.param_array.flat
              [np.put(self._optimizer_copy_, ind, c.finv(self.param_array[ind])) for c, ind in self.constraints.items() if c != __fixed__]
              self._optimizer_copy_transformed = True
          if self._has_fixes():
              self._ensure_fixes()
              return self._optimizer_copy_[self._fixes_]
          return self._optimizer_copy_