mirror of
https://github.com/triqs/dft_tools
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68 lines
3.0 KiB
Python
68 lines
3.0 KiB
Python
from gf import GfLegendre_cython, MeshLegendre, TailGf
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from gf_generic import GfGeneric
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import numpy
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from tools import get_indices_in_dict
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from nothing import Nothing
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import impl_plot
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class GfLegendre ( GfGeneric, GfLegendre_cython ) :
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def __init__(self, **d):
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"""
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The constructor have two variants : you can either provide the mesh in
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Matsubara frequencies yourself, or give the parameters to build it.
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All parameters must be given with keyword arguments.
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GfLegendre(indices, beta, statistic, n_points, data, tail, name)
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* ``indices``: a list of indices names of the block
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* ``beta``: Inverse Temperature
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* ``statistic``: 'F' or 'B'
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* ``n_points`` : Number of legendre points in the mesh
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* ``data``: A numpy array of dimensions (len(indices),len(indices),n_points) representing the value of the Green function on the mesh.
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* ``tail``: the tail
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* ``name``: a name of the GF
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GfLegendre (indices, mesh, data, tail, name)
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* ``indices``: a list of indices names of the block
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* ``mesh``: a MeshGf object, such that mesh.TypeGF== GF_Type.Imaginary_Time
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* ``data``: A numpy array of dimensions (len(indices),len(indices),n_points) representing the value of the Green function on the mesh.
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* ``tail``: the tail
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* ``name``: a name of the GF
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.. warning::
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The Green function take a **view** of the array data, and a **reference** to the tail.
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"""
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mesh = d.pop('mesh',None)
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if mesh is None :
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if 'beta' not in d : raise ValueError, "beta not provided"
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beta = float(d.pop('beta'))
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stat = d.pop('statistic','F')
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n_max = d.pop('n_points',30)
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mesh = MeshLegendre(beta,stat,n_max)
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self.dtype = numpy.float64
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indices_pack = get_indices_in_dict(d)
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indicesL, indicesR = indices_pack
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N1, N2 = len(indicesL),len(indicesR)
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data = d.pop('data') if 'data' in d else numpy.zeros((len(mesh),N1,N2), self.dtype )
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tail = d.pop('tail',Nothing())
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symmetry = d.pop('symmetry',None)
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name = d.pop('name','g')
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assert len(d) ==0, "Unknown parameters in GFBloc constructions %s"%d.keys()
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GfGeneric.__init__(self, mesh, data, tail, symmetry, indices_pack, name, GfLegendre)
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GfLegendre_cython.__init__(self, mesh, data)
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#-------------- PLOT ---------------------------------------
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def _plot_(self, opt_dict):
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""" Plot protocol. opt_dict can contain :
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* :param RI: 'R', 'I', 'RI' [ default]
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* :param x_window: (xmin,xmax) or None [default]
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* :param name: a string [default ='']. If not '', it remplaces the name of the function just for this plot.
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"""
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return impl_plot.plot_base( self, opt_dict, r'$l_n$', lambda name : r'%s$(l_n)$'%name, False, list(self.mesh) )
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