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dft_tools/pytriqs/gf/local/gf_legendre.py

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from gf import GfLegendre_cython, MeshLegendre, TailGf
from gf_generic import GfGeneric
import numpy
from tools import get_indices_in_dict
from nothing import Nothing
import impl_plot
class GfLegendre ( GfGeneric, GfLegendre_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.
GfLegendre(indices, beta, statistic, n_points, data, tail, name)
* ``indices``: a list of indices names of the block
* ``beta``: Inverse Temperature
* ``statistic``: 'F' or 'B'
* ``n_points`` : Number of legendre 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
GfLegendre (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 :
if 'beta' not in d : raise ValueError, "beta not provided"
beta = float(d.pop('beta'))
stat = d.pop('statistic','F')
n_max = d.pop('n_points',30)
mesh = MeshLegendre(beta,stat,n_max)
self.dtype = numpy.float64
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',Nothing())
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, GfLegendre)
GfLegendre_cython.__init__(self, mesh, data)
#-------------- 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'$l_n$', lambda name : r'%s$(l_n)$'%name, False, list(self.mesh) )