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removed conversion step from dmft single-shot description
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@ -24,8 +24,8 @@ User guide
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guide/conversion
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guide/dftdmft_singleshot
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guide/dftdmft_selfcons
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guide/analysis
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guide/full_tutorial
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guide/analysis
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guide/transport
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@ -114,7 +114,6 @@ scripts to his own needs.
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First, we load the necessary modules::
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from pytriqs.applications.dft.sumk_dft import *
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from pytriqs.applications.dft.converters.wien2k_converter import *
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from pytriqs.gf.local import *
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from pytriqs.archive import HDFArchive
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from pytriqs.operators.util import *
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@ -146,14 +145,8 @@ Most of these parameters are self-explanatory. The first,
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details on the solver parameters, we refer the user to
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the :ref:`CTHYB solver <triqscthyb:welcome>` documentation.
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The next step, as described in the previous section, is to convert the input files::
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Converter = Wien2kConverter(filename=dft_filename, repacking=True)
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Converter.convert_dft_input()
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mpi.barrier()
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The command ``mpi.barrier()`` ensures that all nodes wait until the conversion of the input is finished on the master
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node. After the conversion, we can check in the hdf5 archive, if previous runs are present, or if we have to start
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We assume that the conversion to the hdf5 archive is alreadz done. We
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can check now in this archive, if previous runs are present, or if we have to start
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from scratch::
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previous_runs = 0
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@ -173,7 +166,7 @@ from scratch::
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You can see in this code snipet, that all results of this calculation
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will be stored in a separate subgroup in the hdf file, called
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will be stored in a separate subgroup in the hdf5 file, called
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`dmft_output`. Removing this subgroup allows you to reset your
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calculation to the starting point easily.
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@ -4,7 +4,6 @@ from pytriqs.archive import HDFArchive
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from pytriqs.applications.impurity_solvers.cthyb import *
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from pytriqs.gf.local import *
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from pytriqs.applications.dft.sumk_dft import *
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from pytriqs.applications.dft.converters.wien2k_converter import *
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dft_filename='SrVO3'
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U = U.0
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@ -25,9 +24,11 @@ p["length_cycle"] = 50
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p["n_warmup_cycles"] = 50
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p["n_cycles"] = 5000
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Converter = Wien2kConverter(filename=dft_filename, repacking=True)
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Converter.convert_dft_input()
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mpi.barrier()
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# If conversion step was not done, we could do it here. Uncomment the lines it you want to do this.
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#from pytriqs.applications.dft.converters.wien2k_converter import *
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#Converter = Wien2kConverter(filename=dft_filename, repacking=True)
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#Converter.convert_dft_input()
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#mpi.barrier()
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previous_runs = 0
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previous_present = False
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@ -25,9 +25,11 @@ p["length_cycle"] = 50
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p["n_warmup_cycles"] = 50
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p["n_cycles"] = 5000
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Converter = Wien2kConverter(filename=dft_filename, repacking=True)
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Converter.convert_dft_input()
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mpi.barrier()
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# If conversion step was not done, we could do it here. Uncomment the lines it you want to do this.
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#from pytriqs.applications.dft.converters.wien2k_converter import *
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#Converter = Wien2kConverter(filename=dft_filename, repacking=True)
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#Converter.convert_dft_input()
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#mpi.barrier()
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previous_runs = 0
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previous_present = False
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