From 67a8131962a0844132f277b41e2057a696f4d24d Mon Sep 17 00:00:00 2001
From: Allan Karlson <beesforever@gmx.de>
Date: Wed, 31 Jul 2019 15:15:04 +0200
Subject: [PATCH] coverage issue

---
 spotpy/algorithms/demcz.py          | 24 ------------------------
 spotpy/unittests/test_algorithms.py |  2 +-
 2 files changed, 1 insertion(+), 25 deletions(-)

diff --git a/spotpy/algorithms/demcz.py b/spotpy/algorithms/demcz.py
index 4baef532..d325613a 100644
--- a/spotpy/algorithms/demcz.py
+++ b/spotpy/algorithms/demcz.py
@@ -555,30 +555,6 @@ def _dream_proposals(currentVectors, history, dimensions, nChains, DEpairs, gamm
     return proposalVectors
 
 
-def _dream2_proposals(currentVectors, history, dimensions, nChains, DEpairs,
-
-                      gamma, jitter, eps):
-    """
-    generates and returns proposal vectors given the current states
-    NOT USED ATM
-    """
-
-    sampleRange = history.ncombined_history
-    currentIndex = np.arange(sampleRange - nChains, sampleRange)[:, np.newaxis]
-    combined_history = history.combined_history
-
-    # choose some chains without replacement to combine
-    chains = _random_no_replace(1, sampleRange - 1, nChains)
-
-    # makes sure we have already selected the current chain so it is not replaced
-    # this ensures that the the two chosen chains cannot be the same as the
-    # chain for which the jump is
-    chains += (chains >= currentIndex)
-
-    proposalVectors = combined_history[chains[:, 0], :]
-    return proposalVectors
-
-
 class _GRConvergence:
     """
     Gelman Rubin convergence diagnostic calculator class. It currently only calculates the naive
diff --git a/spotpy/unittests/test_algorithms.py b/spotpy/unittests/test_algorithms.py
index 2d760ed3..19bfa7f7 100644
--- a/spotpy/unittests/test_algorithms.py
+++ b/spotpy/unittests/test_algorithms.py
@@ -116,7 +116,7 @@ def test_fast(self):
         self.assertEqual(len(results), self.rep) #Si values should be returned
 
     def test_padds(self):
-        sampler=spotpy.algorithms.padds(padds_spot_setup(),parallel=self.parallel, dbname='Rosen', dbformat=self.dbformat, sim_timeout=self.timeout)
+        sampler=spotpy.algorithms.padds(padds_spot_setup(),parallel=self.parallel, dbname='RosenPADDS', dbformat=self.dbformat, sim_timeout=self.timeout)
         sampler.sample(self.rep)
         results = sampler.getdata()
         self.assertEqual(len(results)+5, self.rep) #Si values should be returned