def run(cosmo, data, command_line):
"""
First rudimentary implementation
The :mod:`mcmc` module is used as previously, except the call to
:func:`mcmc.chain`, or :func:`nested_sampling.run` is now within
this function, instead of from within :mod:`MontePython`.
In the long term, this function should contain any potential hybrid scheme,
and any chain communication (defining different roles, etc)
"""
if command_line.method == 'MH':
import mcmc
mcmc.chain(cosmo, data, command_line)
data.out.close()
elif command_line.method == 'NS':
import nested_sampling as ns
ns.run(cosmo, data, command_line)
elif command_line.method == 'CH':
import cosmo_hammer as hammer
hammer.run(cosmo, data, command_line)
else:
raise io_mp.ConfigurationError(
"Sampling method %s not understood" % command_line.method)
def run(cosmo, data, command_line):
"""
Depending on the choice of sampler, dispatch the appropriate information
The :mod:`mcmc` module is used as previously, except the call to
:func:`mcmc.chain`, or :func:`nested_sampling.run` is now within
this function, instead of from within :mod:`MontePython`.
In the long term, this function should contain any potential hybrid scheme.
"""
if command_line.method == 'MH':
import mcmc
mcmc.chain(cosmo, data, command_line)
data.out.close()
elif command_line.method == 'NS':
import nested_sampling as ns
ns.run(cosmo, data, command_line)
elif command_line.method == 'CH':
import cosmo_hammer as hammer
hammer.run(cosmo, data, command_line)
elif command_line.method == 'IS':
import importance_sampling as ims
ims.run(cosmo, data, command_line)
elif command_line.method == 'Der':
import add_derived as der
der.run(cosmo, data, command_line)
else:
raise io_mp.ConfigurationError(
"Sampling method %s not understood" % command_line.method)
def run(cosmo, data, command_line):
"""
Depending on the choice of sampler, dispatch the appropriate information
The :mod:`mcmc` module is used as previously, except the call to
:func:`mcmc.chain`, or :func:`nested_sampling.run` is now within
this function, instead of from within :mod:`MontePython`.
In the long term, this function should contain any potential hybrid scheme.
"""
if command_line.method == 'MH':
import mcmc
mcmc.chain(cosmo, data, command_line)
data.out.close()
elif command_line.method == 'NS':
import nested_sampling as ns
ns.run(cosmo, data, command_line)
elif command_line.method == 'CH':
import cosmo_hammer as hammer
hammer.run(cosmo, data, command_line)
elif command_line.method == 'IS':
import importance_sampling as ims
ims.run(cosmo, data, command_line)
elif command_line.method == 'Der':
import add_derived as der
der.run(cosmo, data, command_line)
else:
raise io_mp.ConfigurationError("Sampling method %s not understood" %
command_line.method)
