From 028d47034d9893bae5e6004aa9b440124e2410a5 Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Mon, 11 Jan 2021 11:53:07 +0100 Subject: [PATCH 01/18] conversion from dream3D for single phase materials --- python/damask/_configmaterial.py | 55 ++++++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index b94e9897a..85e0f45f3 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -1,6 +1,8 @@ import copy +from os import path import numpy as np +import h5py from . import Config from . import Rotation @@ -101,6 +103,59 @@ class ConfigMaterial(Config): return ConfigMaterial().material_add(constituents_,**kwargs_) + @staticmethod + def load_from_Dream3D(fname,base_group,grain_data,phase_name): + """ + Load material data from DREAM3D file. + The parts of homogenization and phase need to be added by the user. + + Parameters + ---------- + fname : str + path to the DREAM3D file. + base_group : str + Name of the group (folder) below 'DataContainers', + for example 'SyntheticVolumeDataContainer/Grain Data'. + grain_data : str + Name of the dataset having grain based data for conversion, + for example 'EulerAngles'. + phase_name : list + List with name of the phases. + + Examples + -------- + >>> import damask + >>> import damask.ConfigMaterial as cm + >>> t = damask.Table.load('small.txt') + >>> t + pos pos pos qu qu qu qu phase homog + 0 0 0 0 0.19 0.8 0.24 -0.51 Aluminum SX + 1 1 0 0 0.8 0.19 0.24 -0.51 Steel SX + >>> cm.from_table(t,{'O':'qu','phase':'phase'},homogenization='homog') + material: + - constituents: + - O: [0.19, 0.8, 0.24, -0.51] + fraction: 1.0 + phase: Aluminum + homogenization: SX + - constituents: + - O: [0.8, 0.19, 0.24, -0.51] + fraction: 1.0 + phase: Steel + homogenization: SX + homogenization: {} + phase: {} + + """ + root_dir = 'DataContainers' + hdf = h5py.File(fname,'r') + config_info = ConfigMaterial() # empty yaml dictionary + orientation_path = path.join(root_dir,base_group,grain_data) + grain_orientations = np.array(hdf[orientation_path]) + grain_quats = Rotation.from_Euler_angles(grain_orientations).as_quaternion() + material_dict = config_info.material_add(constituents={'phase':phase_name[0],'O':grain_quats},homogenization='SX') + material_dict.save() + @property def is_complete(self): """Check for completeness.""" From dbab3c3a83636031bdd72baec73372d889cb8a4b Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Mon, 11 Jan 2021 14:21:56 +0100 Subject: [PATCH 02/18] dream3D has an extra row at start for grain based data --- python/damask/_configmaterial.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 85e0f45f3..3b79b3ce4 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -151,7 +151,7 @@ class ConfigMaterial(Config): hdf = h5py.File(fname,'r') config_info = ConfigMaterial() # empty yaml dictionary orientation_path = path.join(root_dir,base_group,grain_data) - grain_orientations = np.array(hdf[orientation_path]) + grain_orientations = np.array(hdf[orientation_path])[1:] grain_quats = Rotation.from_Euler_angles(grain_orientations).as_quaternion() material_dict = config_info.material_add(constituents={'phase':phase_name[0],'O':grain_quats},homogenization='SX') material_dict.save() From 2951617e28b96e2df4d4455b45aa01f29f1827dd Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Mon, 11 Jan 2021 15:02:15 +0100 Subject: [PATCH 03/18] able to take phaseID into account --- python/damask/_configmaterial.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 3b79b3ce4..930daaa99 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -104,7 +104,7 @@ class ConfigMaterial(Config): @staticmethod - def load_from_Dream3D(fname,base_group,grain_data,phase_name): + def load_from_Dream3D(fname,base_group,grain_data,phase_namei,phase_id): """ Load material data from DREAM3D file. The parts of homogenization and phase need to be added by the user. @@ -121,6 +121,9 @@ class ConfigMaterial(Config): for example 'EulerAngles'. phase_name : list List with name of the phases. + phase_id : str + Name of the dataset containing phase IDs for each grain, + for example 'Phases'. Examples -------- @@ -149,11 +152,19 @@ class ConfigMaterial(Config): """ root_dir = 'DataContainers' hdf = h5py.File(fname,'r') + config_info = ConfigMaterial() # empty yaml dictionary + orientation_path = path.join(root_dir,base_group,grain_data) grain_orientations = np.array(hdf[orientation_path])[1:] grain_quats = Rotation.from_Euler_angles(grain_orientations).as_quaternion() - material_dict = config_info.material_add(constituents={'phase':phase_name[0],'O':grain_quats},homogenization='SX') + + phase_path = path.join(root_dir,base_group,phase_id) + grain_phase = np.array(hdf[phase_path])[1:] + grain_phase = grain_phase.reshape(len(grain_phase),) + phase_name_list = [phase_name[i - 1] for i in grain_phase] + + material_dict = config_info.material_add(constituents={'phase':phase_name_list,'O':grain_quats},homogenization='SX') material_dict.save() @property From 6c367ec0102cedd616b48aa6ff52cd88e59b7161 Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Mon, 11 Jan 2021 15:05:48 +0100 Subject: [PATCH 04/18] conform to docstring conventions --- python/damask/_configmaterial.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 930daaa99..722c4850d 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -104,9 +104,10 @@ class ConfigMaterial(Config): @staticmethod - def load_from_Dream3D(fname,base_group,grain_data,phase_namei,phase_id): + def load_from_Dream3D(fname,base_group,grain_data,phase_name,phase_id): """ Load material data from DREAM3D file. + The parts of homogenization and phase need to be added by the user. Parameters From 6bffb919517ed30fb3c50e9ed9fff3c7c3229d49 Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Mon, 11 Jan 2021 15:13:38 +0100 Subject: [PATCH 05/18] Added example --- python/damask/_configmaterial.py | 23 +++-------------------- 1 file changed, 3 insertions(+), 20 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 722c4850d..93bec388f 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -105,7 +105,7 @@ class ConfigMaterial(Config): @staticmethod def load_from_Dream3D(fname,base_group,grain_data,phase_name,phase_id): - """ + r""" Load material data from DREAM3D file. The parts of homogenization and phase need to be added by the user. @@ -130,25 +130,8 @@ class ConfigMaterial(Config): -------- >>> import damask >>> import damask.ConfigMaterial as cm - >>> t = damask.Table.load('small.txt') - >>> t - pos pos pos qu qu qu qu phase homog - 0 0 0 0 0.19 0.8 0.24 -0.51 Aluminum SX - 1 1 0 0 0.8 0.19 0.24 -0.51 Steel SX - >>> cm.from_table(t,{'O':'qu','phase':'phase'},homogenization='homog') - material: - - constituents: - - O: [0.19, 0.8, 0.24, -0.51] - fraction: 1.0 - phase: Aluminum - homogenization: SX - - constituents: - - O: [0.8, 0.19, 0.24, -0.51] - fraction: 1.0 - phase: Steel - homogenization: SX - homogenization: {} - phase: {} + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer/Grain Data',\ + 'EulerAngles',['Ferrite'],'Phases') """ root_dir = 'DataContainers' From c3c4b05c01eb7fdb9be926c61a58334335a2b1e5 Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Tue, 12 Jan 2021 13:01:11 +0100 Subject: [PATCH 06/18] handling point based data enabled --- python/damask/_configmaterial.py | 57 ++++++++++++++++++++++++-------- 1 file changed, 44 insertions(+), 13 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 93bec388f..e6c86f39c 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -104,7 +104,7 @@ class ConfigMaterial(Config): @staticmethod - def load_from_Dream3D(fname,base_group,grain_data,phase_name,phase_id): + def load_from_Dream3D(fname,base_group,data_group,ori_data,phase_id,phase_name): r""" Load material data from DREAM3D file. @@ -116,35 +116,66 @@ class ConfigMaterial(Config): path to the DREAM3D file. base_group : str Name of the group (folder) below 'DataContainers', - for example 'SyntheticVolumeDataContainer/Grain Data'. - grain_data : str - Name of the dataset having grain based data for conversion, - for example 'EulerAngles'. - phase_name : list - List with name of the phases. + for example 'SyntheticVolumeDataContainer'. + data_group : str + Name of the group (folder) having relevant data for conversion, + for example 'Grain Data' or 'CellData'. + ori_data : str + Name of the dataset having orientation data (working with Euler Angles in dream3D file), + For example 'EulerAngles'. phase_id : str Name of the dataset containing phase IDs for each grain, for example 'Phases'. + phase_name : list + List with name of the phases. Examples -------- + for grain based data with single phase >>> import damask >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer/Grain Data',\ - 'EulerAngles',['Ferrite'],'Phases') + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data'\ + 'EulerAngles','Phases',['Ferrite']) + + for point based data with single phase + >>> import damask + >>> import damask.ConfigMaterial as cm + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData'\ + 'EulerAngles','Phases',['Ferrite']) + + for grain based data with dual phase + >>> import damask + >>> import damask.ConfigMaterial as cm + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data'\ + 'EulerAngles','Phases',['Ferrite','Martensite']) + + for point based data with dual phase + >>> import damask + >>> import damask.ConfigMaterial as cm + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData'\ + 'EulerAngles','Phases',['Ferrite','Martensite']) """ root_dir = 'DataContainers' hdf = h5py.File(fname,'r') + cells = hdf[path.join(root_dir,base_group,'_SIMPL_GEOMETRY/DIMENSIONS')][()] config_info = ConfigMaterial() # empty yaml dictionary - orientation_path = path.join(root_dir,base_group,grain_data) - grain_orientations = np.array(hdf[orientation_path])[1:] + orientation_path = path.join(root_dir,base_group,data_group,ori_data) + if hdf[orientation_path].attrs['TupleDimensions'].shape == (3,): + grain_orientations = np.array(hdf[orientation_path]).reshape(cells.prod(),3,order='F') + else: + grain_orientations = np.array(hdf[orientation_path])[1:] + grain_quats = Rotation.from_Euler_angles(grain_orientations).as_quaternion() - phase_path = path.join(root_dir,base_group,phase_id) - grain_phase = np.array(hdf[phase_path])[1:] + phase_path = path.join(root_dir,base_group,data_group,phase_id) + if hdf[phase_path].attrs['TupleDimensions'].shape == (3,): + grain_phase = np.array(hdf[phase_path]).reshape(cells.prod(),order='F') + else: + grain_phase = np.array(hdf[phase_path])[1:] + grain_phase = grain_phase.reshape(len(grain_phase),) phase_name_list = [phase_name[i - 1] for i in grain_phase] From ec28fd8a7389f947e896e04fec986cf68b4d8555 Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Fri, 12 Mar 2021 08:43:57 +0100 Subject: [PATCH 07/18] polishing --- python/damask/_configmaterial.py | 31 ++++++++++++++----------------- python/damask/_grid.py | 5 ++--- 2 files changed, 16 insertions(+), 20 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index d47526790..c09174666 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -98,8 +98,8 @@ class ConfigMaterial(Config): @staticmethod - def load_from_Dream3D(fname,base_group,data_group,ori_data,phase_id,phase_name): - r""" + def load_DREAM3D(fname,base_group,data_group,ori_data,phase_id,phase_name): + """ Load material data from DREAM3D file. The parts of homogenization and phase need to be added by the user. @@ -128,37 +128,34 @@ class ConfigMaterial(Config): for grain based data with single phase >>> import damask >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data'\ - 'EulerAngles','Phases',['Ferrite']) + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data', + ... 'EulerAngles','Phases',['Ferrite']) for point based data with single phase >>> import damask >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData'\ - 'EulerAngles','Phases',['Ferrite']) + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData', + ... 'EulerAngles','Phases',['Ferrite']) for grain based data with dual phase >>> import damask >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data'\ - 'EulerAngles','Phases',['Ferrite','Martensite']) + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data', + ... 'EulerAngles','Phases',['Ferrite','Martensite']) for point based data with dual phase >>> import damask >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData'\ - 'EulerAngles','Phases',['Ferrite','Martensite']) + >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData', + ... 'EulerAngles','Phases',['Ferrite','Martensite']) """ root_dir = 'DataContainers' hdf = h5py.File(fname,'r') - cells = hdf[path.join(root_dir,base_group,'_SIMPL_GEOMETRY/DIMENSIONS')][()] - - config_info = ConfigMaterial() # empty yaml dictionary orientation_path = path.join(root_dir,base_group,data_group,ori_data) if hdf[orientation_path].attrs['TupleDimensions'].shape == (3,): - grain_orientations = np.array(hdf[orientation_path]).reshape(cells.prod(),3,order='F') + grain_orientations = np.array(hdf[orientation_path]).reshape(-1,3,order='F') else: grain_orientations = np.array(hdf[orientation_path])[1:] @@ -166,15 +163,15 @@ class ConfigMaterial(Config): phase_path = path.join(root_dir,base_group,data_group,phase_id) if hdf[phase_path].attrs['TupleDimensions'].shape == (3,): - grain_phase = np.array(hdf[phase_path]).reshape(cells.prod(),order='F') + grain_phase = np.array(hdf[phase_path]).reshape(-1,order='F') else: grain_phase = np.array(hdf[phase_path])[1:] grain_phase = grain_phase.reshape(len(grain_phase),) phase_name_list = [phase_name[i - 1] for i in grain_phase] - material_dict = config_info.material_add(constituents={'phase':phase_name_list,'O':grain_quats},homogenization='SX') - material_dict.save() + return ConfigMaterial().material_add(phase=phase_name_list, O = grain_quats) # noqa + @property def is_complete(self): diff --git a/python/damask/_grid.py b/python/damask/_grid.py index a58f2ca2c..f27b9c51a 100644 --- a/python/damask/_grid.py +++ b/python/damask/_grid.py @@ -275,16 +275,15 @@ class Grid: Defaults to 'FeatureIds'. """ - root_dir ='DataContainers' f = h5py.File(fname, 'r') - g = os.path.join(root_dir,base_group,'_SIMPL_GEOMETRY') + g = os.path.join('DataContainers',base_group,'_SIMPL_GEOMETRY') cells = f[os.path.join(g,'DIMENSIONS')][()] size = f[os.path.join(g,'SPACING')][()] * cells origin = f[os.path.join(g,'ORIGIN')][()] ma = np.arange(cells.prod(),dtype=int) \ if point_data is None else \ - np.reshape(f[os.path.join(root_dir,base_group,point_data,material)],cells.prod()) + np.reshape(f[os.path.join('DataContainers',base_group,point_data,material)],cells.prod()) return Grid(ma.reshape(cells,order='F'),size,origin,util.execution_stamp('Grid','load_DREAM3D')) From 35c5bfcc45227fa630f65575e43d2c527291b128 Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Fri, 19 Mar 2021 11:45:04 +0100 Subject: [PATCH 08/18] reference files for DREAM.3D operations will be used for the configuration of material.yaml and grid (using symbolic links) --- .../2phase_irregularGrid.dream3d | 1 + .../ConfigMaterial/2phase_irregularGrid.json | 1 + .../ConfigMaterial/2phase_irregularGrid.xdmf | 1 + .../Grid/2phase_irregularGrid.dream3d | Bin 0 -> 646172 bytes .../reference/Grid/2phase_irregularGrid.json | 764 ++++++++++++++++++ .../reference/Grid/2phase_irregularGrid.xdmf | 42 + 6 files changed, 809 insertions(+) create mode 120000 python/tests/reference/ConfigMaterial/2phase_irregularGrid.dream3d create mode 120000 python/tests/reference/ConfigMaterial/2phase_irregularGrid.json create mode 120000 python/tests/reference/ConfigMaterial/2phase_irregularGrid.xdmf create mode 100644 python/tests/reference/Grid/2phase_irregularGrid.dream3d create mode 100644 python/tests/reference/Grid/2phase_irregularGrid.json create mode 100644 python/tests/reference/Grid/2phase_irregularGrid.xdmf diff --git a/python/tests/reference/ConfigMaterial/2phase_irregularGrid.dream3d b/python/tests/reference/ConfigMaterial/2phase_irregularGrid.dream3d new file mode 120000 index 000000000..94f337206 --- /dev/null +++ b/python/tests/reference/ConfigMaterial/2phase_irregularGrid.dream3d @@ -0,0 +1 @@ +../Grid/2phase_irregularGrid.dream3d \ No newline at end of file diff --git a/python/tests/reference/ConfigMaterial/2phase_irregularGrid.json b/python/tests/reference/ConfigMaterial/2phase_irregularGrid.json new file mode 120000 index 000000000..66071ae27 --- /dev/null +++ b/python/tests/reference/ConfigMaterial/2phase_irregularGrid.json @@ -0,0 +1 @@ +../Grid/2phase_irregularGrid.json \ No newline at end of file diff --git a/python/tests/reference/ConfigMaterial/2phase_irregularGrid.xdmf b/python/tests/reference/ConfigMaterial/2phase_irregularGrid.xdmf new file mode 120000 index 000000000..3736e65db --- /dev/null +++ b/python/tests/reference/ConfigMaterial/2phase_irregularGrid.xdmf @@ -0,0 +1 @@ +../Grid/2phase_irregularGrid.xdmf \ No newline at end of file diff --git a/python/tests/reference/Grid/2phase_irregularGrid.dream3d b/python/tests/reference/Grid/2phase_irregularGrid.dream3d new 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2phase_irregularGrid.dream3d:/DataContainers/SyntheticVolumeDataContainer/CellData/FeatureIds + + + + + 2phase_irregularGrid.dream3d:/DataContainers/SyntheticVolumeDataContainer/CellData/IPFColor + + + + + 2phase_irregularGrid.dream3d:/DataContainers/SyntheticVolumeDataContainer/CellData/Phases + + + + + + From cdcedd0d44d6bce966e414c3f6373550d0a5a121 Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Fri, 19 Mar 2021 23:49:41 +0100 Subject: [PATCH 09/18] autodetect base group --- python/damask/_configmaterial.py | 8 ++++---- python/damask/_grid.py | 26 +++++++++++++------------- python/damask/util.py | 13 ++++++++++++- 3 files changed, 29 insertions(+), 18 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index c09174666..0f6589725 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -98,7 +98,7 @@ class ConfigMaterial(Config): @staticmethod - def load_DREAM3D(fname,base_group,data_group,ori_data,phase_id,phase_name): + def load_DREAM3D(fname,data_group,ori_data,phase_id,phase_name,base_group=None): """ Load material data from DREAM3D file. @@ -150,10 +150,10 @@ class ConfigMaterial(Config): ... 'EulerAngles','Phases',['Ferrite','Martensite']) """ - root_dir = 'DataContainers' + b = util.DREAM3D_base_group(fname) if base_group is None else base_group hdf = h5py.File(fname,'r') - orientation_path = path.join(root_dir,base_group,data_group,ori_data) + orientation_path = path.join(b,data_group,ori_data) if hdf[orientation_path].attrs['TupleDimensions'].shape == (3,): grain_orientations = np.array(hdf[orientation_path]).reshape(-1,3,order='F') else: @@ -161,7 +161,7 @@ class ConfigMaterial(Config): grain_quats = Rotation.from_Euler_angles(grain_orientations).as_quaternion() - phase_path = path.join(root_dir,base_group,data_group,phase_id) + phase_path = path.join(b,data_group,phase_id) if hdf[phase_path].attrs['TupleDimensions'].shape == (3,): grain_phase = np.array(hdf[phase_path]).reshape(-1,order='F') else: diff --git a/python/damask/_grid.py b/python/damask/_grid.py index f27b9c51a..2d161495b 100644 --- a/python/damask/_grid.py +++ b/python/damask/_grid.py @@ -256,7 +256,7 @@ class Grid: @staticmethod - def load_DREAM3D(fname,base_group,point_data=None,material='FeatureIds'): + def load_DREAM3D(fname,cell_data=None,material='FeatureIds',base_group=None): """ Load from DREAM.3D file. @@ -264,26 +264,26 @@ class Grid: ---------- fname : str Filename of the DREAM.3D file - base_group : str - Name of the group (folder) below 'DataContainers', - for example 'SyntheticVolumeDataContainer'. - point_data : str, optional + cell_data : str, optional Name of the group (folder) containing the pointwise material data, for example 'CellData'. Defaults to None, in which case points are consecutively numbered. material : str, optional Name of the dataset containing the material ID. Defaults to 'FeatureIds'. - + base_group : str + Path to the group (folder) that contains the geometry (_SIMPL_GEOMETRY), + and, optionally, the cell data. Defaults to None, in which case + it is set as the path that contains _SIMPL_GEOMETRY/SPACING. + """ + b = util.DREAM3D_base_group(fname) if base_group is None else base_group f = h5py.File(fname, 'r') - g = os.path.join('DataContainers',base_group,'_SIMPL_GEOMETRY') - cells = f[os.path.join(g,'DIMENSIONS')][()] - size = f[os.path.join(g,'SPACING')][()] * cells - origin = f[os.path.join(g,'ORIGIN')][()] + cells = f[os.path.join(b,'_SIMPL_GEOMETRY','DIMENSIONS')][()] + size = f[os.path.join(b,'_SIMPL_GEOMETRY','SPACING')][()] * cells + origin = f[os.path.join(b,'_SIMPL_GEOMETRY','ORIGIN')][()] - ma = np.arange(cells.prod(),dtype=int) \ - if point_data is None else \ - np.reshape(f[os.path.join('DataContainers',base_group,point_data,material)],cells.prod()) + ma = np.arange(cells.prod(),dtype=int) if cell_data is None else \ + np.reshape(f[os.path.join(b,cell_data,material)],cells.prod()) return Grid(ma.reshape(cells,order='F'),size,origin,util.execution_stamp('Grid','load_DREAM3D')) diff --git a/python/damask/util.py b/python/damask/util.py index 3722fe33f..4c94e5966 100644 --- a/python/damask/util.py +++ b/python/damask/util.py @@ -9,6 +9,7 @@ from functools import reduce from optparse import Option import numpy as np +import h5py from . import version @@ -27,7 +28,8 @@ __all__=[ 'extendableOption', 'execution_stamp', 'shapeshifter', 'shapeblender', - 'extend_docstring', 'extended_docstring' + 'extend_docstring', 'extended_docstring', + 'DREAM3D_base_group' ] #################################################################################################### @@ -376,6 +378,15 @@ def extended_docstring(f,extra_docstring): return _decorator +def DREAM3D_base_group(fname): + with h5py.File(fname,'r') as f: + base_group = f.visit(lambda path: path.rsplit('/',2)[0] if '_SIMPL_GEOMETRY/SPACING' in path else None) + + if base_group is None: + raise ValueError + + return base_group + #################################################################################################### # Classes #################################################################################################### From 394fda5f377d3a2a69db0fe071577b7e89ecc8f8 Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Sat, 20 Mar 2021 12:51:41 +0100 Subject: [PATCH 10/18] improving import from DREAM.3D - no duplicated entries even for non-segmented data - using phase labels from file - material.yaml: Dummy homogenization and phase - tests to ensure correct order and match between Grid and ConfigMaterial --- python/damask/_configmaterial.py | 84 +++++++++-------------------- python/damask/_grid.py | 21 +++++--- python/tests/test_ConfigMaterial.py | 22 ++++++++ python/tests/test_Grid.py | 16 ++++-- 4 files changed, 75 insertions(+), 68 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 0f6589725..4c126f281 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -1,4 +1,4 @@ -from os import path +import os.path import numpy as np import h5py @@ -88,7 +88,7 @@ class ConfigMaterial(Config): phase: {} """ - kwargs_ = {k:table.get(v) for k,v in kwargs.items()} + kwargs_ = {k:table.get(v) for k,v in kwargs.items()} _,idx = np.unique(np.hstack(list(kwargs_.values())),return_index=True,axis=0) idx = np.sort(idx) @@ -98,7 +98,10 @@ class ConfigMaterial(Config): @staticmethod - def load_DREAM3D(fname,data_group,ori_data,phase_id,phase_name,base_group=None): + def load_DREAM3D(fname, + grain_data=None,cell_data='CellData',cell_ensemble_data='CellEnsembleData', + phases='Phases',Euler_angles='EulerAngles',phase_names='PhaseName', + base_group=None): """ Load material data from DREAM3D file. @@ -107,70 +110,33 @@ class ConfigMaterial(Config): Parameters ---------- fname : str - path to the DREAM3D file. + Filename of the DREAM.3D (HDF5) file. base_group : str - Name of the group (folder) below 'DataContainers', - for example 'SyntheticVolumeDataContainer'. - data_group : str - Name of the group (folder) having relevant data for conversion, - for example 'Grain Data' or 'CellData'. - ori_data : str - Name of the dataset having orientation data (working with Euler Angles in dream3D file), - For example 'EulerAngles'. - phase_id : str - Name of the dataset containing phase IDs for each grain, - for example 'Phases'. - phase_name : list - List with name of the phases. - - Examples - -------- - for grain based data with single phase - >>> import damask - >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data', - ... 'EulerAngles','Phases',['Ferrite']) - - for point based data with single phase - >>> import damask - >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData', - ... 'EulerAngles','Phases',['Ferrite']) - - for grain based data with dual phase - >>> import damask - >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'Grain Data', - ... 'EulerAngles','Phases',['Ferrite','Martensite']) - - for point based data with dual phase - >>> import damask - >>> import damask.ConfigMaterial as cm - >>> cm.load_from_Dream3D('20grains16x16x16.dream3D','SyntheticVolumeDataContainer', 'CellData', - ... 'EulerAngles','Phases',['Ferrite','Martensite']) + Path to the group (folder) that contains the geometry (_SIMPL_GEOMETRY), + and, optionally, the cell data. Defaults to None, in which case + it is set as the path that contains _SIMPL_GEOMETRY/SPACING. """ b = util.DREAM3D_base_group(fname) if base_group is None else base_group - hdf = h5py.File(fname,'r') + f = h5py.File(fname,'r') - orientation_path = path.join(b,data_group,ori_data) - if hdf[orientation_path].attrs['TupleDimensions'].shape == (3,): - grain_orientations = np.array(hdf[orientation_path]).reshape(-1,3,order='F') + if grain_data is None: + phase = f[os.path.join(b,cell_data,phases)][()].flatten() + O = Rotation.from_Euler_angles(f[os.path.join(b,cell_data,Euler_angles)]).as_quaternion().reshape(-1,4) # noqa + _,idx = np.unique(np.hstack([O,phase.reshape(-1,1)]),return_index=True,axis=0) + idx = np.sort(idx) else: - grain_orientations = np.array(hdf[orientation_path])[1:] + phase = f[os.path.join(b,grain_data,phases)][()] + O = Rotation.from_Euler_angles(f[os.path.join(b,grain_data,Euler_angles)]).as_quaternion() # noqa + idx = np.arange(phase.size) - grain_quats = Rotation.from_Euler_angles(grain_orientations).as_quaternion() + if cell_ensemble_data is not None: + names = np.array([s.decode() for s in f[os.path.join(b,cell_ensemble_data,phase_names)]]) + phase = names[phase] - phase_path = path.join(b,data_group,phase_id) - if hdf[phase_path].attrs['TupleDimensions'].shape == (3,): - grain_phase = np.array(hdf[phase_path]).reshape(-1,order='F') - else: - grain_phase = np.array(hdf[phase_path])[1:] - - grain_phase = grain_phase.reshape(len(grain_phase),) - phase_name_list = [phase_name[i - 1] for i in grain_phase] - - return ConfigMaterial().material_add(phase=phase_name_list, O = grain_quats) # noqa + material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase'],[O,phase])} + return ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'tbd' for k in np.unique(phase)}, + 'homogenization':{'direct':{'N_constituents':1}}}).material_add(**material) @property diff --git a/python/damask/_grid.py b/python/damask/_grid.py index 2d161495b..da6938c7f 100644 --- a/python/damask/_grid.py +++ b/python/damask/_grid.py @@ -256,14 +256,17 @@ class Grid: @staticmethod - def load_DREAM3D(fname,cell_data=None,material='FeatureIds',base_group=None): + def load_DREAM3D(fname, + feature_IDs=None,cell_data='CellData', + phases='Phases',Euler_angles='EulerAngles', + base_group=None): """ Load from DREAM.3D file. Parameters ---------- fname : str - Filename of the DREAM.3D file + Filename of the DREAM.3D (HDF5) file. cell_data : str, optional Name of the group (folder) containing the pointwise material data, for example 'CellData'. Defaults to None, in which case points are consecutively numbered. @@ -274,16 +277,22 @@ class Grid: Path to the group (folder) that contains the geometry (_SIMPL_GEOMETRY), and, optionally, the cell data. Defaults to None, in which case it is set as the path that contains _SIMPL_GEOMETRY/SPACING. - + """ b = util.DREAM3D_base_group(fname) if base_group is None else base_group f = h5py.File(fname, 'r') cells = f[os.path.join(b,'_SIMPL_GEOMETRY','DIMENSIONS')][()] - size = f[os.path.join(b,'_SIMPL_GEOMETRY','SPACING')][()] * cells + size = f[os.path.join(b,'_SIMPL_GEOMETRY','SPACING')] * cells origin = f[os.path.join(b,'_SIMPL_GEOMETRY','ORIGIN')][()] - ma = np.arange(cells.prod(),dtype=int) if cell_data is None else \ - np.reshape(f[os.path.join(b,cell_data,material)],cells.prod()) + if feature_IDs is None: + phase = f[os.path.join(b,cell_data,phases)][()].reshape(-1,1) + O = Rotation.from_Euler_angles(f[os.path.join(b,cell_data,Euler_angles)]).as_quaternion().reshape(-1,4) # noqa + unique,unique_inverse = np.unique(np.hstack([O,phase]),return_inverse=True,axis=0) + ma = np.arange(cells.prod()) if len(unique) == cells.prod() else \ + np.arange(unique.size)[np.argsort(pd.unique(unique_inverse))][unique_inverse] + else: + ma = f[os.path.join(b,cell_data,feature_IDs)][()].flatten() return Grid(ma.reshape(cells,order='F'),size,origin,util.execution_stamp('Grid','load_DREAM3D')) diff --git a/python/tests/test_ConfigMaterial.py b/python/tests/test_ConfigMaterial.py index 5eb9a6c85..4e837999d 100644 --- a/python/tests/test_ConfigMaterial.py +++ b/python/tests/test_ConfigMaterial.py @@ -6,6 +6,7 @@ import numpy as np from damask import ConfigMaterial from damask import Table from damask import Rotation +from damask import Grid @pytest.fixture def ref_path(ref_path_base): @@ -108,3 +109,24 @@ class TestConfigMaterial: m = ConfigMaterial().material_add(**kw) assert len(m['material']) == N assert len(m['material'][0]['constituents']) == n + + + @pytest.mark.parametrize('cell_ensemble_data',[None,'CellEnsembleData']) + def test_load_DREAM3D(self,ref_path,cell_ensemble_data): + grain_c = ConfigMaterial.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d','Grain Data', + cell_ensemble_data = cell_ensemble_data) + point_c = ConfigMaterial.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d', + cell_ensemble_data = cell_ensemble_data) + + assert point_c.is_valid and grain_c.is_valid + assert len(point_c['material'])+1 == len(grain_c['material']) + + grain_m = Grid.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d','FeatureIds').material.flatten() + point_m = Grid.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d').material.flatten() + + for i in np.unique(point_m): + j = int(grain_m[(point_m==i).nonzero()[0][0]]) + assert np.allclose(point_c['material'][i]['constituents'][0]['O'], + grain_c['material'][j]['constituents'][0]['O']) + assert point_c['material'][i]['constituents'][0]['phase'] == \ + grain_c['material'][j]['constituents'][0]['phase'] diff --git a/python/tests/test_Grid.py b/python/tests/test_Grid.py index a239165db..e3ca37982 100644 --- a/python/tests/test_Grid.py +++ b/python/tests/test_Grid.py @@ -420,12 +420,22 @@ class TestGrid: t = Table(np.column_stack((coords.reshape(-1,3,order='F'),grid.material.flatten(order='F'))),{'c':3,'m':1}) assert grid_equal(grid.sort().renumber(),Grid.from_table(t,'c',['m'])) + @pytest.mark.parametrize('periodic',[True,False]) @pytest.mark.parametrize('direction',['x','y','z',['x','y'],'zy','xz',['x','y','z']]) def test_get_grain_boundaries(self,update,ref_path,periodic,direction): - grid=Grid.load(ref_path/'get_grain_boundaries_8g12x15x20.vtr') - current=grid.get_grain_boundaries(periodic,direction) + grid = Grid.load(ref_path/'get_grain_boundaries_8g12x15x20.vtr') + current = grid.get_grain_boundaries(periodic,direction) if update: current.save(ref_path/f'get_grain_boundaries_8g12x15x20_{direction}_{periodic}.vtu',parallel=False) - reference=VTK.load(ref_path/f'get_grain_boundaries_8g12x15x20_{"".join(direction)}_{periodic}.vtu') + reference = VTK.load(ref_path/f'get_grain_boundaries_8g12x15x20_{"".join(direction)}_{periodic}.vtu') assert current.__repr__() == reference.__repr__() + + + def test_load_DREAM3D(self,ref_path): + grain = Grid.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d','FeatureIds') + point = Grid.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d') + + assert np.allclose(grain.origin,point.origin) and \ + np.allclose(grain.size,point.size) and \ + (grain.sort().material == point.material+1).all() From 1c3d1ee0f28aac9400b8dcd18cef2c1f4167205e Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Sat, 20 Mar 2021 13:37:06 +0100 Subject: [PATCH 11/18] documented --- python/damask/_configmaterial.py | 35 ++++++++++++++++++++++++++------ python/damask/_grid.py | 34 +++++++++++++++++++++++-------- 2 files changed, 54 insertions(+), 15 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 4c126f281..e0ccaa44f 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -52,7 +52,7 @@ class ConfigMaterial(Config): @staticmethod def from_table(table,**kwargs): """ - Load from an ASCII table. + Generate from an ASCII table. Parameters ---------- @@ -103,17 +103,40 @@ class ConfigMaterial(Config): phases='Phases',Euler_angles='EulerAngles',phase_names='PhaseName', base_group=None): """ - Load material data from DREAM3D file. + Load DREAM.3D (HDF5) file. - The parts of homogenization and phase need to be added by the user. + Data in DREAM.3D files can be stored per cell ('CellData') + and/or per grain ('Grain Data'). Per default, cell-wise data + is assumed. + + damask.Grid.load_DREAM3D allows to get the corresponding geometry + for the grid solver. Parameters ---------- fname : str Filename of the DREAM.3D (HDF5) file. + grain_data : str + Name of the group (folder) containing grain-wise data. Defaults + to None, in which case cell-wise data is used. + cell_data : str + Name of the group (folder) containing cell-wise data. Defaults to 'CellData'. + cell_ensemble_data : str + Name of the group (folder) containing data of cell ensembles. + This group is used to inquire the name of the phases. If set to + 'None', phases get numeric IDs. Defaults to 'CellEnsembleData'. + phases : str + Name of the dataset containing the phase ID (cell-wise or grain-wise). + Defaults to 'Phases'. + Euler_angles : str + Name of the dataset containing the crystallographic orientation as + Euler angles in radians (cell-wise or grain-wise). Defaults to 'EulerAngles'. + phase_names : str + Name of the dataset containing the phase names. It is not used if + cell_ensemble_data is set to 'None. Defaults to 'PhaseName'. base_group : str - Path to the group (folder) that contains the geometry (_SIMPL_GEOMETRY), - and, optionally, the cell data. Defaults to None, in which case + Path to the group (folder) that contains geometry (_SIMPL_GEOMETRY), + and grain- or cell-wise data. Defaults to None, in which case it is set as the path that contains _SIMPL_GEOMETRY/SPACING. """ @@ -135,7 +158,7 @@ class ConfigMaterial(Config): phase = names[phase] material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase'],[O,phase])} - return ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'tbd' for k in np.unique(phase)}, + return ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'t.b.d.' for k in np.unique(phase)}, 'homogenization':{'direct':{'N_constituents':1}}}).material_add(**material) diff --git a/python/damask/_grid.py b/python/damask/_grid.py index da6938c7f..1e749a156 100644 --- a/python/damask/_grid.py +++ b/python/damask/_grid.py @@ -261,23 +261,39 @@ class Grid: phases='Phases',Euler_angles='EulerAngles', base_group=None): """ - Load from DREAM.3D file. + Load DREAM.3D (HDF5) file. + + Data in DREAM.3D files can be stored per cell ('CellData') + and/or per grain ('Grain Data'). Per default, cell-wise data + is assumed. + + damask.ConfigMaterial.load_DREAM3D allows to get the + corresponding material definition. Parameters ---------- fname : str Filename of the DREAM.3D (HDF5) file. - cell_data : str, optional - Name of the group (folder) containing the pointwise material data, - for example 'CellData'. Defaults to None, in which case points are consecutively numbered. - material : str, optional - Name of the dataset containing the material ID. - Defaults to 'FeatureIds'. + feature_IDs : str + Name of the dataset containing the mapping between cells and + grain-wise data. Defaults to 'None', in which case cell-wise + data is used. + cell_data : str + Name of the group (folder) containing cell-wise data. Defaults to 'CellData'. + phases : str + Name of the dataset containing the phase ID. It is not used for + grain-wise data, i.e. when feature_IDs is not None. + Defaults to 'Phases'. + Euler_angles : str + Name of the dataset containing the crystallographic orientation as + Euler angles in radians It is not used for grain-wise data, i.e. + when feature_IDs is not None. Defaults to 'EulerAngles'. base_group : str - Path to the group (folder) that contains the geometry (_SIMPL_GEOMETRY), - and, optionally, the cell data. Defaults to None, in which case + Path to the group (folder) that contains geometry (_SIMPL_GEOMETRY), + and grain- or cell-wise data. Defaults to None, in which case it is set as the path that contains _SIMPL_GEOMETRY/SPACING. + """ b = util.DREAM3D_base_group(fname) if base_group is None else base_group f = h5py.File(fname, 'r') From e61d86aa174f0eb0b1b2a0b6da0b0141376dbc0b Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Sat, 20 Mar 2021 14:05:35 +0100 Subject: [PATCH 12/18] quick fix for deprecated shell script --- PRIVATE | 2 +- processing/pre/geom_fromDREAM3D.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/PRIVATE b/PRIVATE index a4fed7a4b..ba046ace2 160000 --- a/PRIVATE +++ b/PRIVATE @@ -1 +1 @@ -Subproject commit a4fed7a4b285496f547a7b940f6b6d54419f2384 +Subproject commit ba046ace284515cb82020b3930206eab84ff3121 diff --git a/processing/pre/geom_fromDREAM3D.py b/processing/pre/geom_fromDREAM3D.py index d51a2b51e..e4840fc80 100755 --- a/processing/pre/geom_fromDREAM3D.py +++ b/processing/pre/geom_fromDREAM3D.py @@ -65,7 +65,7 @@ if filenames == []: parser.error('no input file specified.') for name in filenames: damask.util.report(scriptName,name) - geom = damask.Grid.load_DREAM3D(name,options.basegroup,options.pointwise) + geom = damask.Grid.load_DREAM3D(name,'FeatureIds') damask.util.croak(geom) geom.save_ASCII(os.path.splitext(name)[0]+'.geom') From 005fde25046473cae0ff76571fe63ab473763ea9 Mon Sep 17 00:00:00 2001 From: Vitesh Shah Date: Tue, 23 Mar 2021 11:48:35 +0100 Subject: [PATCH 13/18] homogenization in material was missing --- python/damask/_configmaterial.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index e0ccaa44f..4abbdc0dc 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -157,7 +157,8 @@ class ConfigMaterial(Config): names = np.array([s.decode() for s in f[os.path.join(b,cell_ensemble_data,phase_names)]]) phase = names[phase] - material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase'],[O,phase])} + homog_types = np.array(['direct']*phase.size) #assuming simpler homogenization scheme + material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase','homogenization'],[O,phase,homog_types])} return ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'t.b.d.' for k in np.unique(phase)}, 'homogenization':{'direct':{'N_constituents':1}}}).material_add(**material) From 926b5c657d51d55149785c9d1c51df9d52e6641f Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Tue, 23 Mar 2021 12:01:35 +0100 Subject: [PATCH 14/18] material_add can do expansion --- python/damask/_configmaterial.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 4abbdc0dc..4b44d8b76 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -157,10 +157,9 @@ class ConfigMaterial(Config): names = np.array([s.decode() for s in f[os.path.join(b,cell_ensemble_data,phase_names)]]) phase = names[phase] - homog_types = np.array(['direct']*phase.size) #assuming simpler homogenization scheme - material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase','homogenization'],[O,phase,homog_types])} + material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase'],[O,phase])} return ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'t.b.d.' for k in np.unique(phase)}, - 'homogenization':{'direct':{'N_constituents':1}}}).material_add(**material) + 'homogenization':{'direct':{'N_constituents':1}}}).material_add(**material,homogenization='direct') @property From 549b849730c24d9ebe4c7020110c1ebd7162e7bb Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Tue, 23 Mar 2021 12:04:40 +0100 Subject: [PATCH 15/18] better readable --- python/damask/_configmaterial.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 4b44d8b76..24eff1e8d 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -157,9 +157,11 @@ class ConfigMaterial(Config): names = np.array([s.decode() for s in f[os.path.join(b,cell_ensemble_data,phase_names)]]) phase = names[phase] - material = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase'],[O,phase])} - return ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'t.b.d.' for k in np.unique(phase)}, - 'homogenization':{'direct':{'N_constituents':1}}}).material_add(**material,homogenization='direct') + base_config = ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'t.b.d.' for k in np.unique(phase)}, + 'homogenization':{'direct':{'N_constituents':1}}}) + constituent = {k:np.atleast_1d(v[idx].squeeze()) for k,v in zip(['O','phase'],[O,phase])} + + return base_config.material_add(**constituent,homogenization='direct') @property From e0e088eaa8dafb354a1edb5f38d3b69527d2313e Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Tue, 23 Mar 2021 13:42:04 +0100 Subject: [PATCH 16/18] EBSD dataset for testing use only non-segmented data. Automatically fall back to numeric phase names if cell_ensemble_data is not found --- python/damask/_configmaterial.py | 20 +- .../reference/ConfigMaterial/measured.dream3d | 1 + .../ConfigMaterial/measured.material_yaml | 66831 ++++++++++++++++ .../reference/ConfigMaterial/measured.xdmf | 1 + python/tests/reference/Grid/measured.dream3d | Bin 0 -> 1432177 bytes python/tests/reference/Grid/measured.vtr | 30 + python/tests/reference/Grid/measured.xdmf | 77 + python/tests/test_ConfigMaterial.py | 14 +- python/tests/test_Grid.py | 9 + 9 files changed, 66972 insertions(+), 11 deletions(-) create mode 120000 python/tests/reference/ConfigMaterial/measured.dream3d create mode 100644 python/tests/reference/ConfigMaterial/measured.material_yaml create mode 120000 python/tests/reference/ConfigMaterial/measured.xdmf create mode 100644 python/tests/reference/Grid/measured.dream3d create mode 100644 python/tests/reference/Grid/measured.vtr create mode 100644 python/tests/reference/Grid/measured.xdmf diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 24eff1e8d..8fce63a0b 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -122,9 +122,9 @@ class ConfigMaterial(Config): cell_data : str Name of the group (folder) containing cell-wise data. Defaults to 'CellData'. cell_ensemble_data : str - Name of the group (folder) containing data of cell ensembles. - This group is used to inquire the name of the phases. If set to - 'None', phases get numeric IDs. Defaults to 'CellEnsembleData'. + Name of the group (folder) containing data of cell ensembles. This + group is used to inquire the name of the phases. Phases will get + numeric IDs if this group is not found. Defaults to 'CellEnsembleData'. phases : str Name of the dataset containing the phase ID (cell-wise or grain-wise). Defaults to 'Phases'. @@ -132,8 +132,8 @@ class ConfigMaterial(Config): Name of the dataset containing the crystallographic orientation as Euler angles in radians (cell-wise or grain-wise). Defaults to 'EulerAngles'. phase_names : str - Name of the dataset containing the phase names. It is not used if - cell_ensemble_data is set to 'None. Defaults to 'PhaseName'. + Name of the dataset containing the phase names. Phases will get + numeric IDs if this dataset is not found. Defaults to 'PhaseName'. base_group : str Path to the group (folder) that contains geometry (_SIMPL_GEOMETRY), and grain- or cell-wise data. Defaults to None, in which case @@ -153,9 +153,13 @@ class ConfigMaterial(Config): O = Rotation.from_Euler_angles(f[os.path.join(b,grain_data,Euler_angles)]).as_quaternion() # noqa idx = np.arange(phase.size) - if cell_ensemble_data is not None: - names = np.array([s.decode() for s in f[os.path.join(b,cell_ensemble_data,phase_names)]]) - phase = names[phase] + if cell_ensemble_data is not None and phase_names is not None: + try: + names = np.array([s.decode() for s in f[os.path.join(b,cell_ensemble_data,phase_names)]]) + phase = names[phase] + except KeyError: + pass + base_config = ConfigMaterial({'phase':{k if isinstance(k,int) else str(k):'t.b.d.' for k in np.unique(phase)}, 'homogenization':{'direct':{'N_constituents':1}}}) diff --git a/python/tests/reference/ConfigMaterial/measured.dream3d b/python/tests/reference/ConfigMaterial/measured.dream3d new file mode 120000 index 000000000..51ed3e080 --- /dev/null +++ b/python/tests/reference/ConfigMaterial/measured.dream3d @@ -0,0 +1 @@ +../Grid/measured.dream3d \ No newline at end of file diff --git a/python/tests/reference/ConfigMaterial/measured.material_yaml b/python/tests/reference/ConfigMaterial/measured.material_yaml new file mode 100644 index 000000000..bc7e73968 --- /dev/null +++ b/python/tests/reference/ConfigMaterial/measured.material_yaml @@ -0,0 +1,66831 @@ +phase: {'1': t.b.d., '2': t.b.d.} + +homogenization: + direct: {N_constituents: 1} + +material: + - constituents: + - O: [0.5567207566708297, -0.13535259297790672, 0.018612347301180162, -0.8193871216915458] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.5679576379716631, 0.5911734235875267, 0.4846749663178027, 0.3050053798513867] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.568130957548908, 0.5917703909810392, 0.4817404920345456, 0.308157618382254] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.6309112583743439, -0.7461527187815757, 0.2020468097335775, -0.06621322366301328] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.25299105247701736, 0.37817041427803905, 0.8835807136044798, 0.11076004549270393] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.8809593665767449, 0.10970926119246904, -0.23481179634838326, -0.39590136744516113] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.44139861187121116, 0.1057901933403049, 0.5455375575488272, 0.7045313859118336] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.8811663152521274, 0.10967007128648089, -0.2437605342610061, -0.3899989772624993] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.4480084348322152, 0.09923351740171552, 0.546472459771576, 0.7005776202923382] + phase: 1 + v: 1.0 + homogenization: direct + - constituents: + - O: [0.8818692212160366, 0.10822076115519343, -0.24370109344947366, -0.38885051186586156] + phase: 1 + v: 1.0 + homogenization: direct + - 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measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/Confidence Index + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/EulerAngles + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/FeatureIds + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/Fit + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/IPFColor + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/Image Quality + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/Mask + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/ParentIds + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/Phases + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/SEM Signal + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/X Position + + + + + measured.dream3d:/DataContainers/Small IN100/EBSD Scan Data/Y Position + + + + + + diff --git a/python/tests/test_ConfigMaterial.py b/python/tests/test_ConfigMaterial.py index 4e837999d..da188f084 100644 --- a/python/tests/test_ConfigMaterial.py +++ b/python/tests/test_ConfigMaterial.py @@ -1,5 +1,5 @@ import os - +import filecmp import pytest import numpy as np @@ -118,8 +118,8 @@ class TestConfigMaterial: point_c = ConfigMaterial.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d', cell_ensemble_data = cell_ensemble_data) - assert point_c.is_valid and grain_c.is_valid - assert len(point_c['material'])+1 == len(grain_c['material']) + assert point_c.is_valid and grain_c.is_valid and \ + len(point_c['material'])+1 == len(grain_c['material']) grain_m = Grid.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d','FeatureIds').material.flatten() point_m = Grid.load_DREAM3D(ref_path/'2phase_irregularGrid.dream3d').material.flatten() @@ -130,3 +130,11 @@ class TestConfigMaterial: grain_c['material'][j]['constituents'][0]['O']) assert point_c['material'][i]['constituents'][0]['phase'] == \ grain_c['material'][j]['constituents'][0]['phase'] + + + def test_load_DREAM3D_reference(self,tmp_path,ref_path,update): + config = ConfigMaterial.load_DREAM3D(ref_path/'measured.dream3d',cell_data='EBSD Scan Data') + config.save(tmp_path/'material.yaml') + if update: + config.save(ref_path/'measured.material_yaml') + assert config.is_valid and filecmp.cmp(tmp_path/'material.yaml',ref_path/'measured.material_yaml') diff --git a/python/tests/test_Grid.py b/python/tests/test_Grid.py index e3ca37982..21815315e 100644 --- a/python/tests/test_Grid.py +++ b/python/tests/test_Grid.py @@ -439,3 +439,12 @@ class TestGrid: assert np.allclose(grain.origin,point.origin) and \ np.allclose(grain.size,point.size) and \ (grain.sort().material == point.material+1).all() + + + def test_load_DREAM3D_reference(self,ref_path,update): + current = Grid.load_DREAM3D(ref_path/'measured.dream3d',cell_data='EBSD Scan Data') + reference = Grid.load(ref_path/'measured') + if update: + current.save(ref_path/'measured.vtr') + + assert grid_equal(current,reference) From 572c3204d04c1cb5b784499bd157e06307234dd1 Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Tue, 23 Mar 2021 14:28:56 +0100 Subject: [PATCH 17/18] let the computer do the work --- python/damask/_configmaterial.py | 10 ++++--- python/damask/_grid.py | 13 ++++---- python/damask/util.py | 46 ++++++++++++++++++++++++++--- python/tests/test_ConfigMaterial.py | 2 +- python/tests/test_Grid.py | 2 +- 5 files changed, 58 insertions(+), 15 deletions(-) diff --git a/python/damask/_configmaterial.py b/python/damask/_configmaterial.py index 8fce63a0b..fb9b41932 100644 --- a/python/damask/_configmaterial.py +++ b/python/damask/_configmaterial.py @@ -99,7 +99,7 @@ class ConfigMaterial(Config): @staticmethod def load_DREAM3D(fname, - grain_data=None,cell_data='CellData',cell_ensemble_data='CellEnsembleData', + grain_data=None,cell_data=None,cell_ensemble_data='CellEnsembleData', phases='Phases',Euler_angles='EulerAngles',phase_names='PhaseName', base_group=None): """ @@ -120,7 +120,8 @@ class ConfigMaterial(Config): Name of the group (folder) containing grain-wise data. Defaults to None, in which case cell-wise data is used. cell_data : str - Name of the group (folder) containing cell-wise data. Defaults to 'CellData'. + Name of the group (folder) containing cell-wise data. Defaults to + None in wich case it is automatically detected. cell_ensemble_data : str Name of the group (folder) containing data of cell ensembles. This group is used to inquire the name of the phases. Phases will get @@ -141,11 +142,12 @@ class ConfigMaterial(Config): """ b = util.DREAM3D_base_group(fname) if base_group is None else base_group + c = util.DREAM3D_cell_data_group(fname) if cell_data is None else cell_data f = h5py.File(fname,'r') if grain_data is None: - phase = f[os.path.join(b,cell_data,phases)][()].flatten() - O = Rotation.from_Euler_angles(f[os.path.join(b,cell_data,Euler_angles)]).as_quaternion().reshape(-1,4) # noqa + phase = f[os.path.join(b,c,phases)][()].flatten() + O = Rotation.from_Euler_angles(f[os.path.join(b,c,Euler_angles)]).as_quaternion().reshape(-1,4) # noqa _,idx = np.unique(np.hstack([O,phase.reshape(-1,1)]),return_index=True,axis=0) idx = np.sort(idx) else: diff --git a/python/damask/_grid.py b/python/damask/_grid.py index 1e749a156..33a7e874c 100644 --- a/python/damask/_grid.py +++ b/python/damask/_grid.py @@ -257,7 +257,7 @@ class Grid: @staticmethod def load_DREAM3D(fname, - feature_IDs=None,cell_data='CellData', + feature_IDs=None,cell_data=None, phases='Phases',Euler_angles='EulerAngles', base_group=None): """ @@ -279,7 +279,8 @@ class Grid: grain-wise data. Defaults to 'None', in which case cell-wise data is used. cell_data : str - Name of the group (folder) containing cell-wise data. Defaults to 'CellData'. + Name of the group (folder) containing cell-wise data. Defaults to + None in wich case it is automatically detected. phases : str Name of the dataset containing the phase ID. It is not used for grain-wise data, i.e. when feature_IDs is not None. @@ -296,19 +297,21 @@ class Grid: """ b = util.DREAM3D_base_group(fname) if base_group is None else base_group + c = util.DREAM3D_cell_data_group(fname) if cell_data is None else cell_data f = h5py.File(fname, 'r') + cells = f[os.path.join(b,'_SIMPL_GEOMETRY','DIMENSIONS')][()] size = f[os.path.join(b,'_SIMPL_GEOMETRY','SPACING')] * cells origin = f[os.path.join(b,'_SIMPL_GEOMETRY','ORIGIN')][()] if feature_IDs is None: - phase = f[os.path.join(b,cell_data,phases)][()].reshape(-1,1) - O = Rotation.from_Euler_angles(f[os.path.join(b,cell_data,Euler_angles)]).as_quaternion().reshape(-1,4) # noqa + phase = f[os.path.join(b,c,phases)][()].reshape(-1,1) + O = Rotation.from_Euler_angles(f[os.path.join(b,c,Euler_angles)]).as_quaternion().reshape(-1,4) # noqa unique,unique_inverse = np.unique(np.hstack([O,phase]),return_inverse=True,axis=0) ma = np.arange(cells.prod()) if len(unique) == cells.prod() else \ np.arange(unique.size)[np.argsort(pd.unique(unique_inverse))][unique_inverse] else: - ma = f[os.path.join(b,cell_data,feature_IDs)][()].flatten() + ma = f[os.path.join(b,c,feature_IDs)][()].flatten() return Grid(ma.reshape(cells,order='F'),size,origin,util.execution_stamp('Grid','load_DREAM3D')) diff --git a/python/damask/util.py b/python/damask/util.py index 4c94e5966..b5b86c9b1 100644 --- a/python/damask/util.py +++ b/python/damask/util.py @@ -29,7 +29,7 @@ __all__=[ 'execution_stamp', 'shapeshifter', 'shapeblender', 'extend_docstring', 'extended_docstring', - 'DREAM3D_base_group' + 'DREAM3D_base_group', 'DREAM3D_cell_data_group' ] #################################################################################################### @@ -379,14 +379,52 @@ def extended_docstring(f,extra_docstring): def DREAM3D_base_group(fname): + """ + Determine the base group of a DREAM.3D file. + + The base group is defined as the group (folder) that contains + a 'SPACING' dataset in a '_SIMPL_GEOMETRY' group. + + Parameters + ---------- + fname : str + Filename of the DREAM.3D (HDF5) file. + + """ with h5py.File(fname,'r') as f: base_group = f.visit(lambda path: path.rsplit('/',2)[0] if '_SIMPL_GEOMETRY/SPACING' in path else None) - + if base_group is None: - raise ValueError - + raise ValueError('Could not determine base group in file {fname}.') + return base_group +def DREAM3D_cell_data_group(fname): + """ + Determine the cell data group of a DREAM.3D file. + + The cell data group is defined as the group (folder) that contains + a dataset in the base group whose length matches the total number + of points as specified in '_SIMPL_GEOMETRY/DIMENSIONS'. + + Parameters + ---------- + fname : str + Filename of the DREAM.3D (HDF5) file. + + """ + base_group = DREAM3D_base_group(fname) + with h5py.File(fname,'r') as f: + N_points = np.prod(f[os.path.join(base_group,'_SIMPL_GEOMETRY','DIMENSIONS')]) + cell_data_group = f[base_group].visititems(lambda path,obj: path.split('/')[0] \ + if isinstance(obj,h5py._hl.dataset.Dataset) and np.prod(np.shape(obj)) == N_points \ + else None) + + if cell_data_group is None: + raise ValueError('Could not determine cell data group in file {fname}.') + + return cell_data_group + #################################################################################################### # Classes #################################################################################################### diff --git a/python/tests/test_ConfigMaterial.py b/python/tests/test_ConfigMaterial.py index da188f084..181fe4064 100644 --- a/python/tests/test_ConfigMaterial.py +++ b/python/tests/test_ConfigMaterial.py @@ -133,7 +133,7 @@ class TestConfigMaterial: def test_load_DREAM3D_reference(self,tmp_path,ref_path,update): - config = ConfigMaterial.load_DREAM3D(ref_path/'measured.dream3d',cell_data='EBSD Scan Data') + config = ConfigMaterial.load_DREAM3D(ref_path/'measured.dream3d') config.save(tmp_path/'material.yaml') if update: config.save(ref_path/'measured.material_yaml') diff --git a/python/tests/test_Grid.py b/python/tests/test_Grid.py index 21815315e..7e94686ee 100644 --- a/python/tests/test_Grid.py +++ b/python/tests/test_Grid.py @@ -442,7 +442,7 @@ class TestGrid: def test_load_DREAM3D_reference(self,ref_path,update): - current = Grid.load_DREAM3D(ref_path/'measured.dream3d',cell_data='EBSD Scan Data') + current = Grid.load_DREAM3D(ref_path/'measured.dream3d') reference = Grid.load(ref_path/'measured') if update: current.save(ref_path/'measured.vtr') From 1ff6a0974627a69139c56f628003d7a4e8bceaeb Mon Sep 17 00:00:00 2001 From: Martin Diehl Date: Tue, 23 Mar 2021 15:00:59 +0100 Subject: [PATCH 18/18] tests/specifications --- python/damask/util.py | 8 ++++---- python/tests/test_util.py | 37 +++++++++++++++++++++++++++++++++++++ 2 files changed, 41 insertions(+), 4 deletions(-) diff --git a/python/damask/util.py b/python/damask/util.py index b5b86c9b1..56143cc5e 100644 --- a/python/damask/util.py +++ b/python/damask/util.py @@ -395,7 +395,7 @@ def DREAM3D_base_group(fname): base_group = f.visit(lambda path: path.rsplit('/',2)[0] if '_SIMPL_GEOMETRY/SPACING' in path else None) if base_group is None: - raise ValueError('Could not determine base group in file {fname}.') + raise ValueError(f'Could not determine base group in file {fname}.') return base_group @@ -415,13 +415,13 @@ def DREAM3D_cell_data_group(fname): """ base_group = DREAM3D_base_group(fname) with h5py.File(fname,'r') as f: - N_points = np.prod(f[os.path.join(base_group,'_SIMPL_GEOMETRY','DIMENSIONS')]) + cells = tuple(f[os.path.join(base_group,'_SIMPL_GEOMETRY','DIMENSIONS')][()][::-1]) cell_data_group = f[base_group].visititems(lambda path,obj: path.split('/')[0] \ - if isinstance(obj,h5py._hl.dataset.Dataset) and np.prod(np.shape(obj)) == N_points \ + if isinstance(obj,h5py._hl.dataset.Dataset) and np.shape(obj)[:-1] == cells \ else None) if cell_data_group is None: - raise ValueError('Could not determine cell data group in file {fname}.') + raise ValueError(f'Could not determine cell data group in file {fname}/{base_group}.') return cell_data_group diff --git a/python/tests/test_util.py b/python/tests/test_util.py index 397926682..93044b31d 100644 --- a/python/tests/test_util.py +++ b/python/tests/test_util.py @@ -1,6 +1,10 @@ +import random +import os + import pytest import numpy as np from scipy import stats +import h5py from damask import util @@ -102,3 +106,36 @@ class TestUtil: @pytest.mark.parametrize('style',[util.emph,util.deemph,util.warn,util.strikeout]) def test_decorate(self,style): assert 'DAMASK' in style('DAMASK') + + @pytest.mark.parametrize('complete',[True,False]) + def test_D3D_base_group(self,tmp_path,complete): + base_group = ''.join(random.choices('DAMASK', k=10)) + with h5py.File(tmp_path/'base_group.dream3d','w') as f: + f.create_group(os.path.join(base_group,'_SIMPL_GEOMETRY')) + if complete: + f[os.path.join(base_group,'_SIMPL_GEOMETRY')].create_dataset('SPACING',data=np.ones(3)) + + if complete: + assert base_group == util.DREAM3D_base_group(tmp_path/'base_group.dream3d') + else: + with pytest.raises(ValueError): + util.DREAM3D_base_group(tmp_path/'base_group.dream3d') + + @pytest.mark.parametrize('complete',[True,False]) + def test_D3D_cell_data_group(self,tmp_path,complete): + base_group = ''.join(random.choices('DAMASK', k=10)) + cell_data_group = ''.join(random.choices('KULeuven', k=10)) + cells = np.random.randint(1,50,3) + with h5py.File(tmp_path/'cell_data_group.dream3d','w') as f: + f.create_group(os.path.join(base_group,'_SIMPL_GEOMETRY')) + f[os.path.join(base_group,'_SIMPL_GEOMETRY')].create_dataset('SPACING',data=np.ones(3)) + f[os.path.join(base_group,'_SIMPL_GEOMETRY')].create_dataset('DIMENSIONS',data=cells[::-1]) + f[base_group].create_group(cell_data_group) + if complete: + f[os.path.join(base_group,cell_data_group)].create_dataset('data',shape=np.append(cells,1)) + + if complete: + assert cell_data_group == util.DREAM3D_cell_data_group(tmp_path/'cell_data_group.dream3d') + else: + with pytest.raises(ValueError): + util.DREAM3D_cell_data_group(tmp_path/'cell_data_group.dream3d')