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dft_tools/pytriqs/gf/local/imfreq.pyx

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Cython
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from gf_imfreq import GfImFreq
cdef class GfImFreq_cython:
cdef gf_imfreq _c
def __init__(self, MeshImFreq mesh, data, TailGf tail):
self._c = gf_imfreq (mesh._c, array_view[dcomplex,THREE](data), tail._c , nothing())
def __write_hdf5_cython__ (self, gr , char * key) :
h5_write (make_h5_group(gr), key, self._c)
def set_from_fourier(self,GfImTime_cython gt) :
"""Fills self with the Fourier transform of gt"""
self._c << lazy_fourier( gt._c )
def set_from_legendre(self, GfLegendre_cython gl) :
"""Fills self with the Legendre transform of gl"""
self._c << lazy_legendre_imfreq(gl._c)
def density(self):
return density(self._c).to_python()
def __dealloc__ (self):
pass
#---------------- Reading from h5 ---------------------------------------
def h5_read_GfImFreq(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_GfImFreq(h5_extractor[gf_imfreq]()(make_h5_group(gr),key), pack, name)
from pytriqs.archive.hdf_archive_schemes import register_class
register_class (GfImFreq, read_fun = h5_read_GfImFreq)
#---------------- Convertions functions ---------------------------------------
# Python -> C
cdef gf_imfreq as_gf_imfreq (g) except +:
return (<GfImFreq_cython?>g)._c
# C -> Python. Do NOT add except +
cdef make_GfImFreq (gf_imfreq x, indices_pack = [], name = "g"):
data = x.data().to_python()
if indices_pack == []:
indices_pack = [range(data.shape[1]), range(data.shape[2])]
return GfImFreq(
mesh = make_MeshImFreq (x.mesh()),
data = data,
tail = make_TailGf (x.singularity()),
indices_pack = indices_pack,
name = name)
# Python -> C for blocks
cdef gf_block_imfreq as_gf_block_imfreq (G) except +:
cdef vector[gf_imfreq] v_c
for n,g in G:
v_c.push_back(as_gf_imfreq(g))
return make_gf_block_imfreq (v_c)
# C -> Python for block
cdef make_BlockGfImFreq (gf_block_imfreq 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_GfImFreq(G[i], block_indices_pack[i]) )
return BlockGf( name_list = name_list, block_list = gl, name = name )