removing simple mh sampler

emcee/__init__.py

@@ -1,17 +1,15 @@
-#!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-from __future__ import (division, print_function, absolute_import,
-                        unicode_literals)
-from .sampler import *
-from .mh import *
-from .ensemble import *
-from .ptsampler import *
-from . import utils
-from . import autocorr
+from __future__ import print_function, absolute_import
+
+__version__ = "3.0.0.dev0"
 
+from .ensemble import EnsembleSampler
+
+from . import moves
+from . import autocorr
 
-__version__ = "2.2.1"
+__all__ = ["EnsembleSampler", "moves", "autocorr"]
 
 
 def test():

emcee/tests.py

@@ -8,9 +8,7 @@
 import numpy as np
 
 from .autocorr import integrated_time
-from .mh import MHSampler
 from .ensemble import EnsembleSampler
-from .ptsampler import PTSampler
 
 logprecision = -4
 
@@ -118,18 +116,6 @@ def check_pt_sampler(self, cutoff, N=None, p0=None):
         # case is OK.
         self.sampler.run_mcmc (p0, 10, lnlike0=-4)
 
-    def test_mh(self):
-        self.sampler = MHSampler(self.cov, self.ndim, lnprob_gaussian,
-                                 args=[self.icov])
-        self.check_sampler(N=self.N * self.nwalkers, p0=self.p0[0])
-
-    def test_mh_unif(self):
-        f = lambda x: 0.0 if np.all((0.0 <= x) & (x <= 1.0)) else -np.inf
-        self.sampler = MHSampler(self.cov, self.ndim, f)
-        self.sampler.run_mcmc(np.random.rand(self.ndim), 100)
-        chain = self.sampler.chain
-        assert np.any(np.abs(np.diff(chain, axis=0)) > 0.0)
-
     def test_ensemble(self):
         self.sampler = EnsembleSampler(self.nwalkers, self.ndim,
                                        lnprob_gaussian, args=[self.icov])