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https://github.com/triqs/dft_tools
synced 2024-10-31 11:13:46 +01:00
[feat] add option to use DLR mesh in Sumk (#254)
allow using the MeshDLRImFreq to be used as general Sumk mesh during the DMFT loop for all functions.
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@ -8,6 +8,7 @@ DFTTools Version 3.3.0 is a release that
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* is compatible with TRIQS 3.3.x
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* includes the latest app4triqs changes
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* introduce `dc_imp_dyn` attribute in sumk object to store dynamic part of DC potential
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* allows using MeshDLRImFreq as Sumk mesh
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* improved standard behavior of block struct (#248) (see below for details)
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We thank all contributors: Sophie Beck, Thomas Hahn, Alexander Hampel, Henri Menke, Dylan Simon, Nils Wentzell
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@ -21,6 +22,7 @@ Find below an itemized list of changes in this release.
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### feat
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* allow dict/np.ndarrays input in `symm_deg_gf`
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* introduce `dc_imp_dyn` attribute in sumk object to store dynamic part of DC potential
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* allows using MeshDLRImFreq as Sumk mesh
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* previously the default `gf_struct_solver` in a initialized blockstructure had keys `up` / `down`, inconsistent with the default behavior after running `analyse_block_structure`: `up_0` / `down_0`. Now the default solver structure always has the `_0`
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in the key.
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* old behavior resulted in error when analyse_block_structure was called
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@ -58,7 +58,7 @@ class SumkDFT(object):
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The value of magnetic field to add to the DFT Hamiltonian.
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The contribution -h_field*sigma is added to diagonal elements of the Hamiltonian.
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It cannot be used with the spin-orbit coupling on; namely h_field is set to 0 if self.SO=True.
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mesh: MeshImFreq or MeshReFreq, optional. Frequency mesh of Sigma.
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mesh: MeshImFreq, MeshDLRImFreq, or MeshReFreq, optional. Frequency mesh of Sigma.
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beta : real, optional
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Inverse temperature. Used to construct imaginary frequency if mesh is not given.
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n_iw : integer, optional
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@ -115,6 +115,9 @@ class SumkDFT(object):
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self.mesh_values = np.linspace(self.mesh(self.mesh.first_index()),
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self.mesh(self.mesh.last_index()),
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len(self.mesh))
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elif isinstance(mesh, MeshDLRImFreq):
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self.mesh = mesh
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self.mesh_values = np.array([iwn.value for iwn in mesh.values()])
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elif isinstance(mesh, MeshReFreq):
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self.mesh = mesh
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self.mesh_values = np.linspace(self.mesh.w_min, self.mesh.w_max, len(self.mesh))
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@ -563,6 +566,8 @@ class SumkDFT(object):
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mesh = Sigma_imp[0].mesh
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if isinstance(mesh, MeshImFreq):
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mesh_values = np.linspace(mesh(mesh.first_index()), mesh(mesh.last_index()), len(mesh))
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elif isinstance(mesh, MeshDLRImFreq):
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mesh_values = np.array([iwn.value for iwn in mesh.values()])
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else:
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mesh_values = np.linspace(mesh.w_min, mesh.w_max, len(mesh))
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else:
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@ -570,9 +575,11 @@ class SumkDFT(object):
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mesh_values = self.mesh_values
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elif not mesh is None:
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assert isinstance(mesh, MeshReFreq) or isinstance(mesh, MeshImFreq), "mesh must be a triqs MeshReFreq or MeshImFreq"
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assert isinstance(mesh, (MeshReFreq, MeshDLRImFreq, MeshImFreq)), "mesh must be a triqs MeshReFreq or MeshImFreq"
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if isinstance(mesh, MeshImFreq):
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mesh_values = np.linspace(mesh(mesh.first_index()), mesh(mesh.last_index()), len(mesh))
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elif isinstance(mesh, MeshDLRImFreq):
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mesh_values = np.array([iwn.value for iwn in mesh.values()])
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else:
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mesh_values = np.linspace(mesh.w_min, mesh.w_max, len(mesh))
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else:
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@ -586,10 +593,6 @@ class SumkDFT(object):
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gf_struct = [(spn[isp], block_structure[isp])
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for isp in range(self.n_spin_blocks[self.SO])]
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block_ind_list = [block for block, inner in gf_struct]
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if isinstance(mesh, MeshImFreq):
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glist = lambda: [Gf(mesh=mesh, target_shape=[len(inner),len(inner)])
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for block, inner in gf_struct]
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else:
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glist = lambda: [Gf(mesh=mesh, target_shape=[len(inner),len(inner)])
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for block, inner in gf_struct]
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G_latt = BlockGf(name_list=block_ind_list,
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@ -603,7 +606,7 @@ class SumkDFT(object):
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for ibl, (block, gf) in enumerate(G_latt):
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ind = ntoi[spn[ibl]]
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n_orb = self.n_orbitals[ik, ind]
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if isinstance(mesh, MeshImFreq):
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if isinstance(mesh, (MeshImFreq, MeshDLRImFreq)):
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gf.data[:, :, :] = (idmat[ibl] * (mesh_values[:, None, None] + mu + self.h_field*(1-2*ibl))
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- self.hopping[ik, ind, 0:n_orb, 0:n_orb])
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else:
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@ -647,7 +650,10 @@ class SumkDFT(object):
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assert len(Sigma_imp) == self.n_corr_shells,\
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"put_Sigma: give exactly one Sigma for each corr. shell!"
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if isinstance(self.mesh, MeshImFreq) and all(isinstance(gf.mesh, MeshImFreq) and isinstance(gf, Gf) and gf.mesh == self.mesh for bname, gf in Sigma_imp[0]):
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if (isinstance(self.mesh, (MeshImFreq, MeshDLRImFreq)) and
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all(isinstance(gf.mesh, (MeshImFreq, MeshDLRImFreq)) and
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isinstance(gf, Gf) and
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gf.mesh == self.mesh for bname, gf in Sigma_imp[0])):
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# Imaginary frequency Sigma:
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self.Sigma_imp = [self.block_structure.create_gf(ish=icrsh, mesh=Sigma_imp[icrsh].mesh, space='sumk')
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for icrsh in range(self.n_corr_shells)]
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@ -31,7 +31,8 @@ from triqs_dft_tools.sumk_dft import *
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class test_solver(unittest.TestCase):
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def setUp(self):
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self.iw_mesh = MeshImFreq(beta=40, S='Fermion', n_iw=300)
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self.iw_mesh = MeshImFreq(beta=40, statistic='Fermion', n_iw=300)
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self.dlr_mesh = MeshDLRImFreq(beta=40, statistic='Fermion', w_max=10, eps=1e-10)
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self.w_mesh = MeshReFreq(n_w=1001, window=(-3,3))
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# magic reference value for the Wien2k SVO t2g example
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self.ref_mu = 0.281
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@ -42,6 +43,11 @@ class test_solver(unittest.TestCase):
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mu = sumk.calc_mu(method='dichotomy', precision=0.001, delta=0.1)
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self.assertTrue(abs(self.ref_mu - mu) < 0.01)
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def test_dichotomy_dlr(self):
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sumk = SumkDFT('SrVO3.ref.h5', mesh=self.dlr_mesh)
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mu = sumk.calc_mu(method='dichotomy', precision=0.001, delta=0.1)
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self.assertTrue(abs(self.ref_mu - mu) < 0.01)
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def test_dichotomy_real(self):
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sumk = SumkDFT('SrVO3.ref.h5', mesh=self.w_mesh)
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mu = sumk.calc_mu(method='dichotomy', precision=0.001, delta=0.1, broadening = 0.01, beta=1000)
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@ -19,19 +19,26 @@
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#
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################################################################################
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from h5 import *
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from triqs.gf import *
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from triqs_dft_tools.sumk_dft import *
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from triqs_dft_tools.converters.wien2k import *
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from h5 import HDFArchive
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from triqs.utility import mpi
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from triqs.gf import MeshImFreq, MeshDLRImFreq, Gf, BlockGf, make_gf_dlr, make_gf_imfreq
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from triqs_dft_tools.sumk_dft import SumkDFT
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from triqs.operators.util import set_operator_structure
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from triqs.utility.comparison_tests import *
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from triqs.utility.comparison_tests import assert_block_gfs_are_close
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from triqs.utility.h5diff import h5diff
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import time
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# Basic input parameters
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beta = 40
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n_iw = 1025
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# Init the SumK class
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SK=SumkDFT(hdf_file='SrVO3.ref.h5',use_dft_blocks=True)
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# classic full Matsubara mesh
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mpi.report(f"{'#'*12}\nregular Matsubara mesh test\n")
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# Init the SumK class (reference data with n_iw=1025)
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iw_mesh = MeshImFreq(n_iw=n_iw,beta=beta, statistic='Fermion')
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SK=SumkDFT(hdf_file='SrVO3.ref.h5',mesh=iw_mesh,use_dft_blocks=True)
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num_orbitals = SK.corr_shells[0]['dim']
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l = SK.corr_shells[0]['l']
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@ -39,15 +46,51 @@ spin_names = ['down','up']
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orb_hybridized = False
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gf_struct = set_operator_structure(spin_names,num_orbitals,orb_hybridized)
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glist = [ GfImFreq(target_shape=(bl_size,bl_size),beta=beta) for bl, bl_size in gf_struct]
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glist = [ Gf(target_shape=(bl_size,bl_size),mesh=iw_mesh) for bl, bl_size in gf_struct]
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Sigma_iw = BlockGf(name_list = [bl for bl, bl_size in gf_struct], block_list = glist, make_copies = False)
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SK.set_Sigma([Sigma_iw])
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if mpi.is_master_node():
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start_time = time.time()
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Gloc = SK.extract_G_loc()
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if mpi.is_master_node():
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mpi.report(f'extract_G_loc time: {(time.time()-start_time)*1000:.1f} msec')
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if mpi.is_master_node():
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with HDFArchive('srvo3_Gloc.out.h5','w') as ar:
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ar['Gloc'] = Gloc[0]
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if mpi.is_master_node():
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h5diff("srvo3_Gloc.out.h5","srvo3_Gloc.ref.h5")
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mpi.report(f"{'#'*12}\n")
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# DLR Matsubara mesh
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mpi.report(f"{'#'*12}\nDLR Matsubara mesh test\n")
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dlr_mesh = MeshDLRImFreq(beta=beta, statistic='Fermion', w_max=10, eps=1e-10)
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SK=SumkDFT(hdf_file='SrVO3.ref.h5',mesh=dlr_mesh,use_dft_blocks=True)
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glist_dlr = [ Gf(target_shape=(bl_size,bl_size),mesh=dlr_mesh) for bl, bl_size in gf_struct]
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Sigma_dlr = BlockGf(name_list = [bl for bl, bl_size in gf_struct], block_list = glist_dlr, make_copies = False)
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SK.set_Sigma([Sigma_dlr])
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if mpi.is_master_node():
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start_time = time.time()
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Gloc_dlr_iw = SK.extract_G_loc()
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if mpi.is_master_node():
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mpi.report(f'extract_G_loc time: {(time.time()-start_time)*1000:.1f} msec')
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with HDFArchive('srvo3_Gloc.out.h5','a') as ar:
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ar['Gloc_dlr'] = make_gf_imfreq(make_gf_dlr(Gloc_dlr_iw[0]),n_iw=n_iw)
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# get full Giw and compare
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Gloc_iw_full = make_gf_imfreq(make_gf_dlr(Gloc_dlr_iw[0]),n_iw=n_iw)
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assert_block_gfs_are_close(Gloc[0], Gloc_iw_full)
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mpi.report(f"{'#'*12}\n")
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