def init_tv( mesh = None, shape = None, name = 'g', **kwargs):
"""
"""
if mesh is None:
if 'beta' not in kwargs: raise ValueError, "beta not provided"
from gf import MeshLegendre
beta = float(kwargs.pop('beta'))
stat = kwargs.pop('statistic','Fermion')
n_max = kwargs.pop('n_points',30)
mesh = MeshLegendre(beta,stat,n_max)
indices_pack = get_indices_in_dict_tv(kwargs)
if not shape:
assert indices_pack, "No shape, no indices !"
indicesL, indicesR = indices_pack
shape = len(indicesL),len(indicesR)
if kwargs: raise ValueError, "GfLegendre: Unused parameters %s were passed."%kwargs.keys()
return (mesh, shape, indices_pack, name), {}
def init_tv( mesh = None, shape = None, name = 'g', **kwargs):
"""
"""
if mesh is None:
from gf import MeshReFreq
window = kwargs.pop('window')
omega_min = window[0]
omega_max = window[1]
n_max = kwargs.pop('n_points',10000)
mesh = MeshReFreq(omega_min, omega_max, n_max)
indices_pack = get_indices_in_dict_tv(kwargs)
if not shape:
assert indices_pack, "No shape, no indices !"
indicesL, indicesR = indices_pack
shape = len(indicesL),len(indicesR)
if kwargs: raise ValueError, "GfReFreq: Unused parameters %s were passed."%kwargs.keys()
return (mesh, shape, indices_pack, name), {}
def init_tv( mesh = None, shape = None, name = 'g', **kwargs):
"""
"""
if mesh is None:
from gf import MeshReTime
window = kwargs.pop('window')
t_min = window[0]
t_max = window[1]
n_max = kwargs.pop('n_points',10000)
mesh = MeshReTime(t_min, t_max, n_max)
indices_pack = get_indices_in_dict_tv(kwargs)
if not shape:
assert indices_pack, "No shape, no indices !"
indicesL, indicesR = indices_pack
shape = len(indicesL),len(indicesR)
if kwargs: raise ValueError, "GfReFreq: Unused parameters %s were passed."%kwargs.keys()
return (mesh, shape, indices_pack, name), {}
def init_tv( mesh = None, shape = None, name = 'g', **kwargs):
"""
"""
if mesh is None:
from gf import MeshImTime
if 'beta' not in kwargs: raise ValueError, "beta not provided"
beta = float(kwargs.pop('beta'))
n_max = kwargs.pop('n_points',10000)
stat = kwargs.pop('statistic','Fermion')
mesh = MeshImTime(beta,stat,n_max)
indices_pack = get_indices_in_dict_tv(kwargs)
if not shape:
assert indices_pack, "No shape, no indices !"
indices = indices_pack
shape = [len(x) for x in indices]
if kwargs: raise ValueError, "GfImTime: Unused parameters %s were passed."%kwargs.keys()
return (mesh, shape, indices_pack, name), {}
def init_tv( mesh=None, shape=None, name='g', **kwargs):
"""
python adaptor for the construction of a gf<imfreq, tensor_valued>
args: {mesh, indices} or {beta,[n_points], [statistic], indices}
"""
if mesh is None:
from gf import MeshImFreq
if 'beta' not in kwargs: raise ValueError, "beta not provided"
beta = float(kwargs.pop('beta'))
n_points = kwargs.pop('n_points',1025)
stat = kwargs.pop('statistic','Fermion')
mesh = MeshImFreq(beta,stat,n_points)
indices_pack = get_indices_in_dict_tv(kwargs)
if not shape:
assert indices_pack, "No shape, no indices !"
indices = indices_pack
shape = [len(x) for x in indices]
if kwargs: raise ValueError, "GfImFreq: Unused parameters %s were passed."%kwargs.keys()
return (mesh, shape, indices_pack, name), {}
def init_tv(mesh=None, shape=None, name='g', **kwargs):
"""
python adaptor for the construction of a gf<imfreq, tensor_valued>
args: {mesh, indices} or {beta,[n_points], [statistic], indices}
"""
if mesh is None:
from gf import MeshImFreq
if 'beta' not in kwargs: raise ValueError, "beta not provided"
beta = float(kwargs.pop('beta'))
n_points = kwargs.pop('n_points', 1025)
stat = kwargs.pop('statistic', 'Fermion')
mesh = MeshImFreq(beta, stat, n_points)
indices_pack = get_indices_in_dict_tv(kwargs)
if not shape:
assert indices_pack, "No shape, no indices !"
indices = indices_pack
shape = [len(x) for x in indices]
if kwargs:
raise ValueError, "GfImFreq: Unused parameters %s were passed." % kwargs.keys(
)
return (mesh, shape, indices_pack, name), {}
