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dft_tools/pytriqs/gf/local/gf_retime.py

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from gf import GfReTime_cython, MeshReTime, TailGf
from gf_generic import GfGeneric
import numpy
from tools import get_indices_in_dict
import impl_plot
class GfReTime ( GfGeneric, GfReTime_cython ) :
def __init__(self, **d):
"""
The constructor have two variants : you can either provide the mesh in
Matsubara frequencies yourself, or give the parameters to build it.
All parameters must be given with keyword arguments.
GfReTime(indices, window, n_points, data, tail, name)
* ``indices``: a list of indices names of the block
* ``window``: a tuple (t_min, t_max)
* ``n_points`` : Number of time points in the mesh
* ``data``: A numpy array of dimensions (len(indices),len(indices),n_points) representing the value of the Green function on the mesh.
* ``tail``: the tail
* ``name``: a name of the GF
GfReTime (indices, mesh, data, tail, name)
* ``indices``: a list of indices names of the block
* ``mesh``: a MeshGf object, such that mesh.TypeGF== GF_Type.Imaginary_Time
* ``data``: A numpy array of dimensions (len(indices),len(indices),n_points) representing the value of the Green function on the mesh.
* ``tail``: the tail
* ``name``: a name of the GF
.. warning::
The Green function take a **view** of the array data, and a **reference** to the tail.
"""
mesh = d.pop('mesh',None)
if mesh is None :
window = d.pop('window')
t_min = window[0]
t_max = window[1]
n_max = d.pop('n_points',10000)
kind = d.pop('kind','F')
mesh = MeshReTime(t_min, t_max, n_max, kind)
self.dtype = numpy.complex_
indices_pack = get_indices_in_dict(d)
indicesL, indicesR = indices_pack
N1, N2 = len(indicesL),len(indicesR)
data = d.pop('data') if 'data' in d else numpy.zeros((len(mesh),N1,N2), self.dtype )
tail= d.pop('tail') if 'tail' in d else TailGf(shape = (N1,N2))
symmetry = d.pop('symmetry',None)
name = d.pop('name','g')
assert len(d) ==0, "Unknown parameters in GFBloc constructions %s"%d.keys()
GfGeneric.__init__(self, mesh, data, tail, symmetry, indices_pack, name, GfReTime)
GfReTime_cython.__init__(self, mesh, data, tail)
#-------------- PLOT ---------------------------------------
def _plot_(self, opt_dict):
""" Plot protocol. opt_dict can contain :
* :param RI: 'R', 'I', 'RI' [ default]
* :param x_window: (xmin,xmax) or None [default]
* :param name: a string [default ='']. If not '', it remplaces the name of the function just for this plot.
"""
return impl_plot.plot_base(self, opt_dict, r'$\t$', lambda name : r'%s$(\t)$'%name, True, list(self.mesh))