# 
# ALPS Project: Algorithms and Libraries for Physics Simulations
# 
# ALPS Libraries
# 
# Copyright (C) 2010      by Brigitte Surer <surerb@phys.ethz.ch> 
#               2012-2013 by Jakub Imriska  <jimriska@phys.ethz.ch>
# 
# This software is part of the ALPS libraries, published under the ALPS
# Library License; you can use, redistribute it and/or modify it under
# the terms of the license, either version 1 or (at your option) any later
# version.
#  
# You should have received a copy of the ALPS Library License along with
# the ALPS Libraries; see the file LICENSE.txt. If not, the license is also
# available from http://alps.comp-phys.org/.
# 
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 
# FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT 
# SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE 
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# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER 
# DEALINGS IN THE SOFTWARE.
# 
# ****************************************************************************

import pyalps

#prepare the input parameters
parms=[]
parms.append(
        {
          'ANTIFERROMAGNET'     : 0,
          'CHECKPOINT'          : 'dump_hyb',
          'CONVERGED'           : 0.0025,
          'FLAVORS'             : 2,
          'H'                   : 0,
          'H_INIT'              : 0.0,
          'MAX_IT'              : 12,
          'MAX_TIME'            : 600,
          'MU'                  : 0,
          'N'                   : 1000,
          'NMATSUBARA'          : 1000,
          'N_MEAS'              : 10000,
          'N_ORDER'             : 50,
          'OMEGA_LOOP'          : 1,
          'SEED'                : 0,
          'SITES'               : 1,
          'SOLVER'              : 'hybridization',
          'SC_WRITE_DELTA'      : 1,
          'SYMMETRIZATION'      : 1,
          'U'                   : 3,
          't'                   : 0.707106781186547,
          'SWEEPS'              : 2500,
          'THERMALIZATION'      : 500,
          'BETA'                : 32
        }
    )

# For more precise calculations we propose to you to:
#   enhance the MAX_TIME, MAX_IT and lower CONVERGED
        
#write the input file and run the simulation
input_file = pyalps.writeParameterFile('parm_hyb',parms[0])
res = pyalps.runDMFT(input_file)