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dft_tools/pytriqs/gf/local/legendre.pyx
Olivier Parcollet f2c7d449cc First commit : triqs libs version 1.0 alpha1
for earlier commits, see TRIQS0.x repository.
2013-07-17 19:24:07 +02:00

82 lines
2.7 KiB
Cython

from gf_legendre import GfLegendre
cdef class GfLegendre_cython:
cdef gf_legendre _c
def __init__(self, MeshLegendre mesh, data):
self._c = gf_legendre(mesh._c, array_view[double,THREE](data), nothing(), nothing())
def __write_hdf5_cython__ (self, gr , char * key) :
h5_write (make_h5_group(gr), key, self._c)
def set_from_imtime(self, GfImTime_cython gt) :
"""Fills self with the Legendre transform of gt"""
self._c << lazy_imtime_legendre(gt._c)
def set_from_imfreq(self, GfImFreq_cython gw) :
"""Fills self with the Legendre transform of gw"""
self._c << lazy_imfreq_legendre(gw._c)
def density(self):
return density(self._c).to_python()
def enforce_discontinuity(self, disc):
enforce_discontinuity(self._c, array_view[double,TWO](disc))
def __dealloc__ (self):
pass
#---------------- Reading from h5 ---------------------------------------
def h5_read_GfLegendre(gr, key):
try:
indicesL = gr[key]['indices']['left']
indicesR = gr[key]['indices']['right']
pack = [indicesL, indicesR]
except:
pack = []
try:
name = gr[key]['name']
except:
name = key
return make_GfLegendre(h5_extractor[gf_legendre]()(make_h5_group(gr),key), pack, name)
from pytriqs.archive.hdf_archive_schemes import register_class
register_class (GfLegendre, read_fun = h5_read_GfLegendre)
#---------------- Convertions functions ---------------------------------------
# Python -> C
cdef gf_legendre as_gf_legendre (g) except +:
return (<GfLegendre_cython?>g)._c
# C -> Python. Do NOT add except +
cdef make_GfLegendre (gf_legendre x, indices_pack = [], name = "g"):
data = x.data().to_python()
if indices_pack == []:
indices_pack = [range(data.shape[1]), range(data.shape[2])]
return GfLegendre(
mesh = make_MeshLegendre (x.mesh()),
data = data,
indices_pack = indices_pack,
name = name)
# Python -> C for blocks
cdef gf_block_legendre as_gf_block_legendre (G) except +:
cdef vector[gf_legendre] v_c
for n,g in G:
v_c.push_back(as_gf_legendre(g))
return make_gf_block_legendre (v_c)
# C -> Python for block
cdef make_BlockGfLegendre (gf_block_legendre G, block_indices_pack = [], name = "G"):
gl = []
name_list = G.mesh().domain().names()
if block_indices_pack == []:
for i,n in enumerate(name_list):
sha = G[i].data().to_python().shape[1:3]
block_indices_pack.append( [range(sha[0]), range(sha[1])] )
for i,n in enumerate(name_list):
gl.append( make_GfLegendre(G[i], block_indices_pack[i]) )
return BlockGf( name_list = name_list, block_list = gl, name = name )