Adds from __future__ imports to an in Python3 compaitibility

examples/follow_up.py

@@ -21,7 +21,7 @@ theta_prior = {'F0': {'type': 'unif', 'lower': F0*(1-1e-6), 'upper': F0*(1+1e-5)
 ntemps = 1
 log10temperature_min = -1
 nwalkers = 100
-run_setup = [(1000, 50), (1000, 25), (1000, 1, False), 
+run_setup = [(1000, 50), (1000, 25), (1000, 1, False),
              ((500, 500), 1, True)]
 
 mcmc = pyfstat.MCMCFollowUpSearch(
@@ -29,6 +29,7 @@ mcmc = pyfstat.MCMCFollowUpSearch(
     sftfilepattern='data/*basic*sft', theta_prior=theta_prior, tref=tref,
     minStartTime=tstart, maxStartTime=tend, nwalkers=nwalkers,
     ntemps=ntemps, log10temperature_min=log10temperature_min)
-mcmc.run(run_setup)
+mcmc.run(run_setup, gen_tex_table=True)
+#mcmc.run(Nsegs0=50)
 mcmc.plot_corner(add_prior=True)
 mcmc.print_summary()

examples/fully_coherent_search_using_MCMC.py

@@ -48,14 +48,14 @@ theta_prior = {'F0': {'type': 'unif',
 
 ntemps = 1
 log10temperature_min = -1
-nwalkers = 1000
-nsteps = [50, 50]
+nwalkers = 100
+nsteps = [1000, 1000]
 
 mcmc = pyfstat.MCMCSearch(
     label='fully_coherent_search_using_MCMC', outdir='data',
     sftfilepattern='data/*'+data_label+'*sft', theta_prior=theta_prior, tref=tref,
     minStartTime=tstart, maxStartTime=tend, nsteps=nsteps, nwalkers=nwalkers,
     ntemps=ntemps, log10temperature_min=log10temperature_min)
-mcmc.run(context='paper', subtractions=[30, -1e-10])
+mcmc.run(context='paper', subtractions=[30, -1e-10], c=2)
 mcmc.plot_corner(add_prior=True)
 mcmc.print_summary()

pyfstat/core.py

 """ The core tools used in pyfstat """
+from __future__ import division, absolute_import, print_function
+
 import os
 import logging
 import copy
 
+
 import glob
 import numpy as np
 import scipy.special
@@ -10,7 +13,7 @@ import scipy.optimize
 
 import lal
 import lalpulsar
-import helper_functions
+import pyfstat.helper_functions as helper_functions
 
 # workaround for matplotlib on X-less remote logins
 if 'DISPLAY' in os.environ:

pyfstat/grid_based_searches.py

 """ Searches using grid-based methods """
+from __future__ import division, absolute_import, print_function
 
 import os
 import logging
@@ -9,9 +10,10 @@ import numpy as np
 import matplotlib
 import matplotlib.pyplot as plt
 
-import helper_functions
-from core import BaseSearchClass, ComputeFstat, SemiCoherentGlitchSearch, SemiCoherentSearch
-from core import tqdm, args, earth_ephem, sun_ephem, read_par
+import pyfstat.helper_functions as helper_functions
+from pyfstat.core import (BaseSearchClass, ComputeFstat,
+                          SemiCoherentGlitchSearch, SemiCoherentSearch, tqdm,
+                          args, earth_ephem, sun_ephem, read_par)
 
 
 class GridSearch(BaseSearchClass):

pyfstat/make_sfts.py

 """ pyfstat tools to generate sfts """
+from __future__ import division, absolute_import, print_function
 
 import numpy as np
 import logging
@@ -9,8 +10,8 @@ import pkgutil
 import lal
 import lalpulsar
 
-from core import BaseSearchClass, tqdm, args
-import helper_functions
+from pyfstat.core import BaseSearchClass, tqdm, args
+import pyfstat.helper_functions as helper_functions
 
 earth_ephem, sun_ephem = helper_functions.set_up_ephemeris_configuration()
 

pyfstat/mcmc_based_searches.py

 """ Searches using MCMC-based methods """
+from __future__ import division, absolute_import, print_function
 
 import sys
 import os
@@ -14,11 +15,10 @@ import emcee
 import corner
 import dill as pickle
 
-import core
-from core import tqdm, args, earth_ephem, sun_ephem, read_par
-from optimal_setup_functions import get_V_estimate
-from optimal_setup_functions import get_optimal_setup
-import helper_functions
+import pyfstat.core as core
+from pyfstat.core import tqdm, args, earth_ephem, sun_ephem, read_par
+from pyfstat.optimal_setup_functions import get_V_estimate, get_optimal_setup
+import pyfstat.helper_functions as helper_functions
 
 
 class MCMCSearch(core.BaseSearchClass):

pyfstat/optimal_setup_functions.py

@@ -4,13 +4,14 @@ Provides functions to aid in calculating the optimal setup based on the metric
 volume estimates.
 
 """
+from __future__ import division, absolute_import, print_function
 
 import logging
 import numpy as np
 import scipy.optimize
 import lal
 import lalpulsar
-import helper_functions
+import pyfstat.helper_functions as helper_functions
 
 
 def get_optimal_setup(