示例#1
0
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)
示例#2
0
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)
示例#3
0
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)