mirror of
https://github.com/triqs/dft_tools
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579368f24b
- lazy_fourier and co --> fourier - ex fourier --> make_gf_from_fourier to make a new gf - = fourier (g) works only iif lhs is a view, like scalar. - updated python (commented fourier method).
82 lines
2.6 KiB
Cython
82 lines
2.6 KiB
Cython
from gf_imfreq import GfImFreq
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cdef class GfImFreq_cython:
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cdef gf_imfreq _c
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def __init__(self, MeshImFreq mesh, data, TailGf tail):
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self._c = gf_imfreq (mesh._c, array_view[dcomplex,THREE](data), tail._c , nothing())
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def __write_hdf5_cython__ (self, gr , char * key) :
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h5_write (make_h5_group(gr), key, self._c)
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def set_from_fourier(self,GfImTime_cython gt) :
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"""Fills self with the Fourier transform of gt"""
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self._c << fourier( gt._c )
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def set_from_legendre(self, GfLegendre_cython gl) :
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"""Fills self with the Legendre transform of gl"""
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self._c << legendre_to_imfreq(gl._c)
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def density(self):
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return density(self._c).to_python()
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def __dealloc__ (self):
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pass
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#---------------- Reading from h5 ---------------------------------------
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def h5_read_GfImFreq(gr, key):
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try:
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indicesL = gr[key]['indices']['left']
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indicesR = gr[key]['indices']['right']
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pack = [indicesL, indicesR]
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except:
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pack = []
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try:
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name = gr[key]['name']
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except:
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name = key
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return make_GfImFreq(h5_extractor[gf_imfreq]()(make_h5_group(gr),key), pack, name)
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from pytriqs.archive.hdf_archive_schemes import register_class
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register_class (GfImFreq, read_fun = h5_read_GfImFreq)
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#---------------- Convertions functions ---------------------------------------
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# Python -> C
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cdef gf_imfreq as_gf_imfreq (g) except +:
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return (<GfImFreq_cython?>g)._c
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# C -> Python. Do NOT add except +
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cdef make_GfImFreq (gf_imfreq x, indices_pack = [], name = "g"):
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data = x.data().to_python()
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if indices_pack == []:
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indices_pack = [range(data.shape[1]), range(data.shape[2])]
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return GfImFreq(
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mesh = make_MeshImFreq (x.mesh()),
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data = data,
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tail = make_TailGf (x.singularity()),
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indices_pack = indices_pack,
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name = name)
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# Python -> C for blocks
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cdef gf_block_imfreq as_gf_block_imfreq (G) except +:
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cdef vector[gf_imfreq] v_c
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for n,g in G:
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v_c.push_back(as_gf_imfreq(g))
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return make_gf_block_imfreq (v_c)
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# C -> Python for block
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cdef make_BlockGfImFreq (gf_block_imfreq G, block_indices_pack = [], name = "G"):
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gl = []
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name_list = G.mesh().domain().names()
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if block_indices_pack == []:
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for i,n in enumerate(name_list):
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sha = G[i].data().to_python().shape[1:3]
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block_indices_pack.append( [range(sha[0]), range(sha[1])] )
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for i,n in enumerate(name_list):
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gl.append( make_GfImFreq(G[i], block_indices_pack[i]) )
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return BlockGf( name_list = name_list, block_list = gl, name = name )
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