polishing
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@ -108,6 +108,10 @@ class ConfigMaterial(Config):
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and grain- or cell-wise data. Defaults to None, in which case
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it is set as the path that contains _SIMPL_GEOMETRY/SPACING.
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Notes
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-----
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Homogenization and phase entries are emtpy and need to be defined separately.
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Returns
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-------
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loaded : damask.ConfigMaterial
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@ -31,14 +31,14 @@ class Grid:
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Parameters
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----------
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material : numpy.ndarray
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Material index array (3D).
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material : numpy.ndarray of shape (:,:,:)
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Material indices.
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size : list or numpy.ndarray
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Physical size of the grid in meter.
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Physical size of grid in meter.
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origin : list or numpy.ndarray, optional
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Physical origin of the grid in meter.
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Coordinates of grid origin in meter.
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comments : list of str, optional
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Comment lines.
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Comments, e.g. history of operations.
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"""
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self.material = material
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@ -78,7 +78,7 @@ class Result:
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>>> r = damask.Result('my_file.hdf5')
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>>> r.add_Cauchy()
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>>> r.add_equivalent_Mises('sigma')
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>>> r.save_VTK()
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>>> r.export_VTK()
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>>> r_last = r.view('increments',-1)
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>>> sigma_vM_last = r_last.get('sigma_vM')
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@ -1377,13 +1377,13 @@ class Result:
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pool.join()
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def save_XDMF(self,output='*'):
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def export_XDMF(self,output='*'):
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"""
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Write XDMF file to directly visualize data in DADF5 file.
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The XDMF format is only supported for structured grids
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with single phase and single constituent.
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For other cases use `save_VTK`.
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For other cases use `export_VTK`.
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Parameters
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----------
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@ -1511,7 +1511,7 @@ class Result:
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return at_cell_ph,in_data_ph,at_cell_ho,in_data_ho
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def save_VTK(self,output='*',mode='cell',constituents=None,fill_float=np.nan,fill_int=0,parallel=True):
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def export_VTK(self,output='*',mode='cell',constituents=None,fill_float=np.nan,fill_int=0,parallel=True):
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"""
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Export to VTK cell/point data.
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@ -1550,7 +1550,7 @@ class Result:
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else:
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raise ValueError(f'invalid mode {mode}')
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v.set_comments(util.execution_stamp('Result','save_VTK'))
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v.set_comments(util.execution_stamp('Result','export_VTK'))
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N_digits = int(np.floor(np.log10(max(1,int(self.increments[-1][10:])))))+1
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@ -1733,3 +1733,6 @@ class Result:
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if flatten: r = util.dict_flatten(r)
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return None if (type(r) == dict and r == {}) else r
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save_VTK = export_VTK
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save_XDMF = export_XDMF
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@ -368,7 +368,7 @@ class TestResult:
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def test_vtk(self,request,tmp_path,ref_path,update,patch_execution_stamp,patch_datetime_now,output,fname,inc):
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result = Result(ref_path/fname).view('increments',inc)
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os.chdir(tmp_path)
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result.save_VTK(output)
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result.export_VTK(output)
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fname = fname.split('.')[0]+f'_inc{(inc if type(inc) == int else inc[0]):0>2}.vti'
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last = ''
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for i in range(10):
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@ -381,9 +381,9 @@ class TestResult:
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last = cur
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time.sleep(.5)
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if update:
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with open((ref_path/'save_VTK'/request.node.name).with_suffix('.md5'),'w') as f:
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with open((ref_path/'export_VTK'/request.node.name).with_suffix('.md5'),'w') as f:
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f.write(cur)
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with open((ref_path/'save_VTK'/request.node.name).with_suffix('.md5')) as f:
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with open((ref_path/'export_VTK'/request.node.name).with_suffix('.md5')) as f:
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assert cur == f.read()
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@pytest.mark.parametrize('mode',['point','cell'])
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@ -391,7 +391,7 @@ class TestResult:
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def test_vtk_marc(self,tmp_path,ref_path,mode,output):
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os.chdir(tmp_path)
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result = Result(ref_path/'check_compile_job1.hdf5')
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result.save_VTK(output,mode)
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result.export_VTK(output,mode)
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def test_marc_coordinates(self,ref_path):
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result = Result(ref_path/'check_compile_job1.hdf5').view('increments',-1)
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@ -402,7 +402,7 @@ class TestResult:
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@pytest.mark.parametrize('mode',['point','cell'])
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def test_vtk_mode(self,tmp_path,single_phase,mode):
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os.chdir(tmp_path)
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single_phase.save_VTK(mode=mode)
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single_phase.export_VTK(mode=mode)
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def test_XDMF(self,tmp_path,single_phase,update,ref_path):
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for shape in [('scalar',()),('vector',(3,)),('tensor',(3,3)),('matrix',(12,))]:
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@ -410,14 +410,14 @@ class TestResult:
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single_phase.add_calculation(f"np.ones(np.shape(#F#)[0:1]+{shape[1]},'{dtype}')",f'{shape[0]}_{dtype}')
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fname = os.path.splitext(os.path.basename(single_phase.fname))[0]+'.xdmf'
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os.chdir(tmp_path)
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single_phase.save_XDMF()
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single_phase.export_XDMF()
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if update:
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shutil.copy(tmp_path/fname,ref_path/fname)
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assert sorted(open(tmp_path/fname).read()) == sorted(open(ref_path/fname).read()) # XML is not ordered
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def test_XDMF_invalid(self,default):
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with pytest.raises(TypeError):
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default.save_XDMF()
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default.export_XDMF()
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@pytest.mark.parametrize('view,output,flatten,prune',
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[({},['F','P','F','L_p','F_e','F_p'],True,True),
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