Merge branch '250-configmaterial-material_add-simplifications' into 'development'

several improvements to ConfigMaterial and Config

Closes #250

See merge request damask/DAMASK!714

python/damask/_config.py

@@ -2,6 +2,7 @@ import copy
 from io import StringIO
 from collections.abc import Iterable
 import abc
+import platform
 from typing import Optional, Union, Dict, Any, Type, TypeVar
 
 import numpy as np
@@ -69,13 +70,30 @@ class Config(dict):
         **kwargs: arbitray keyword-value pairs, optional
             Top level entries of the configuration.
 
-        """
+        Notes
-        if isinstance(config,str):
+        -----
-            kwargs.update(yaml.load(config, Loader=SafeLoader))
+        Values given as keyword-value pairs take precedence
-        elif isinstance(config,dict):
+        over entries with the same keyword in 'config'.
-            kwargs.update(config)
+
+        """
+        if int(platform.python_version_tuple()[1]) >= 9:
+            if isinstance(config,str):
+                kwargs = yaml.load(config, Loader=SafeLoader) | kwargs
+            elif isinstance(config,dict):
+                kwargs = config | kwargs                                                            # type: ignore
+
+            super().__init__(**kwargs)
+        else:
+            if isinstance(config,str):
+                c = yaml.load(config, Loader=SafeLoader)
+            elif isinstance(config,dict):
+                c = config.copy()
+            else:
+                c = {}
+            c.update(kwargs)
+
+            super().__init__(**c)
 
-        super().__init__(**kwargs)
 
     def __repr__(self) -> str:
         """

python/damask/_configmaterial.py

@@ -1,4 +1,4 @@
-from typing import Optional, Union, Sequence, Dict, Any, Collection
+from typing import Optional, Union, Sequence, Dict, Any, List
 
 import numpy as np
 import h5py
@@ -8,6 +8,7 @@ from . import Config
 from . import Rotation
 from . import Orientation
 from . import util
+from . import tensor
 from . import Table
 
 
@@ -23,8 +24,10 @@ class ConfigMaterial(Config):
     """
 
     def __init__(self,
-                 config: Optional[Dict[str, Any]] = None,
+                 config: Optional[Union[str,Dict[str,Any]]] = None,*,
-                 **kwargs):
+                 homogenization: Optional[Dict[str,Dict]] = None,
+                 phase: Optional[Dict[str,Dict]] = None,
+                 material: Optional[List[Dict[str,Any]]] = None):
         """
         New material configuration.
 
@@ -32,16 +35,23 @@ class ConfigMaterial(Config):
         ----------
         config : dict or str, optional
             Material configuration. String needs to be valid YAML.
-            Defaults to None, in which case empty entries for
+        homogenization : dict, optional
-            any missing material, homogenization, and phase entry are created.
+            Homogenization configuration.
-        kwargs : key=value pairs, optional
+            Defaults to an empty dict if 'config' is not given.
-            Initial content specified as pairs of key=value.
+        phase : dict, optional
+            Phase configuration.
+            Defaults to an empty dict if 'config' is not given.
+        material : dict, optional
+            Materialpoint configuration.
+            Defaults to an empty list if 'config' is not given.
 
         """
-        default: Collection
+        kwargs: Dict[str,Union[Dict[str,Dict],List[Dict[str,Any]]]] = {}
-        if config is None:
+        for arg,value in zip(['homogenization','phase','material'],[homogenization,phase,material]):
-            for section, default in {'material':[],'homogenization':{},'phase':{}}.items():
+            if value is None and config is None:
-                if section not in kwargs: kwargs.update({section:default})
+                kwargs[arg] = [] if arg == 'material' else {}
+            elif value is not None:
+                kwargs[arg] = value
 
         super().__init__(config,**kwargs)
 
@@ -170,8 +180,12 @@ class ConfigMaterial(Config):
 
 
     @staticmethod
-    def from_table(table: Table,
+    def from_table(table: Table,*,
-                   **kwargs) -> 'ConfigMaterial':
+                   homogenization: Optional[Union[str,StrSequence]] = None,
+                   phase: Optional[Union[str,StrSequence]] = None,
+                   v: Optional[Union[str,FloatSequence]] = None,
+                   O: Optional[Union[str,FloatSequence]] = None,
+                   V_e: Optional[Union[str,FloatSequence]] = None) -> 'ConfigMaterial':
         """
         Generate from an ASCII table.
 
@@ -179,16 +193,33 @@ class ConfigMaterial(Config):
         ----------
         table : damask.Table
             Table that contains material information.
-        **kwargs
+        homogenization: (array-like) of str, optional
-            Keyword arguments where the key is the property name and
+            Homogenization label.
-            the value specifies either the label of the data column in the table
+        phase: (array-like) of str, optional
-            or a constant value.
+            Phase label (per constituent).
+        v: (array-like) of float or str, optional
+            Constituent volume fraction (per constituent).
+            Defaults to 1/N_constituent.
+        O: (array-like) of damask.Rotation or np.array/list of shape(4) or str, optional
+            Orientation as unit quaternion (per constituent).
+        V_e: (array-like) of np.array/list of shape(3,3) or str, optional
+            Left elastic stretch (per constituent).
+
 
         Returns
         -------
         new : damask.ConfigMaterial
             Material configuration from values in table.
 
+        Notes
+        -----
+        If the value of an argument is a string that is a column label,
+        data from the table is used to fill the corresponding entry in
+        the material configuration. Otherwise, the value is used directly.
+
+        First index of array-like values that are defined per constituent
+        runs over materials, whereas second index runs over constituents.
+
         Examples
         --------
         >>> import damask
@@ -230,15 +261,16 @@ class ConfigMaterial(Config):
         phase: {Aluminum: null, Steel: null}
 
         """
-        kwargs_ = {k:table.get(v) if v in table.labels else np.atleast_2d([v]*len(table)).T for k,v in kwargs.items()}
+        kwargs = {}
+        for arg,val in zip(['homogenization','phase','v','O','V_e'],[homogenization,phase,v,O,V_e]):
+            if val is not None:
+                kwargs[arg] = table.get(val) if val in table.labels else np.atleast_2d([val]*len(table)).T # type: ignore
 
-        _,idx = np.unique(np.hstack(list(kwargs_.values())),return_index=True,axis=0)
+        _,idx = np.unique(np.hstack(list(kwargs.values())),return_index=True,axis=0)
         idx = np.sort(idx)
-        kwargs_ = {k:np.atleast_1d(v[idx].squeeze()) for k,v in kwargs_.items()}
+        kwargs = {k:np.atleast_1d(v[idx].squeeze()) for k,v in kwargs.items()}
-        for what in ['phase','homogenization']:
-            if what not in kwargs_: kwargs_[what] = what+'_label'
 
-        return ConfigMaterial().material_add(**kwargs_)
+        return ConfigMaterial().material_add(**kwargs)
 
 
     @property
@@ -434,7 +466,7 @@ class ConfigMaterial(Config):
             Phase label (per constituent).
         v: (array-like) of float, optional
             Constituent volume fraction (per constituent).
-            Defaults to 1/N_constituents
+            Defaults to 1/N_constituent.
         O: (array-like) of damask.Rotation or np.array/list of shape(4), optional
             Orientation as unit quaternion (per constituent).
         V_e: (array-like) of np.array/list of shape(3,3), optional
@@ -527,49 +559,48 @@ class ConfigMaterial(Config):
         phase: {Austenite: null, Ferrite: null}
 
         """
-        kwargs = {}
+        dim = {'O':(4,),'V_e':(3,3,)}
-        for keyword,value in zip(['homogenization','phase','v','O','V_e'],[homogenization,phase,v,O,V_e]):
+        ex = dict((keyword, -len(val)) for keyword,val in dim.items())
-            if value is not None: kwargs[keyword] = value
-
-        _constituent_properties = ['phase','O','v','V_e']
-        _dim = {'O':(4,),'V_e':(3,3,)}
-        _ex = dict((k, -len(v)) for k, v in _dim.items())
 
         N_materials,N_constituents = 1,1
-        shaped : Dict[str, Union[None,np.ndarray]] = \
+        shape = {}
-                 {'v': None,
+        for arg,val in zip(['homogenization','phase','v','O','V_e'],[homogenization,phase,v,O,V_e]):
-                  'phase': None,
+            if val is None: continue
-                  'homogenization': None,
+            shape[arg] = np.array(val)
-                  }
+            s = shape[arg].shape[:ex.get(arg,None)]                                                 # type: ignore
-
-        for arg,value in kwargs.items():
-            shaped[arg] = np.array(value)
-            s = shaped[arg].shape[:_ex.get(arg,None)]                                               # type: ignore
             N_materials = max(N_materials,s[0]) if len(s)>0 else N_materials
             N_constituents = max(N_constituents,s[1]) if len(s)>1 else N_constituents
 
-        shaped['v'] = np.array(1./N_constituents) if shaped['v'] is None else shaped['v']
+        shape['v'] = np.array(shape.get('v',1./N_constituents),float)
 
         mat: Sequence[dict] = [{'constituents':[{} for _ in range(N_constituents)]} for _ in range(N_materials)]
 
-        for k,v in shaped.items():
+        for k,v in shape.items():
-            target = (N_materials,N_constituents) + _dim.get(k,())
+            target = (N_materials,N_constituents) + dim.get(k,())
-            obj = np.broadcast_to(np.array(v).reshape(util.shapeshifter(() if v is None else v.shape,
+            broadcasted = np.broadcast_to(np.array(v).reshape(util.shapeshifter(np.array(v).shape,target,'right')),target)
-                                                                        target,
+            if k == 'v':
-                                                                        mode = 'right')),
+                if np.min(broadcasted) < 0 or np.max(broadcasted) > 1:
-                                  target)
+                    raise ValueError('volume fraction "v" out of range')
+                if len(np.atleast_1d(broadcasted)) > 1:
+                    total = np.sum(broadcasted,axis=-1)
+                    if np.min(total) < 0 or np.max(total) > 1:
+                        raise ValueError('volume fraction "v" out of range')
+            if k == 'O' and not np.allclose(1.0,np.linalg.norm(broadcasted,axis=-1)):
+                raise ValueError('orientation "O" is not a unit quaterion')
+            elif k == 'V_e' and not np.allclose(broadcasted,tensor.symmetric(broadcasted)):
+                raise ValueError('elastic stretch "V_e" is not symmetric')
             for i in range(N_materials):
-                if k in _constituent_properties:
+                if k == 'homogenization':
-                    for j in range(N_constituents):
+                    mat[i][k] = broadcasted[i,0]
-                        mat[i]['constituents'][j][k] = obj[i,j].item() if isinstance(obj[i,j],np.generic) else obj[i,j]
                 else:
-                    mat[i][k] = obj[i,0].item() if isinstance(obj[i,0],np.generic) else obj[i,0]
+                    for j in range(N_constituents):
+                        mat[i]['constituents'][j][k] = broadcasted[i,j]
 
         dup = self.copy()
         dup['material'] = dup['material'] + mat if 'material' in dup else mat
 
-        for what in [item for item in ['phase','homogenization'] if shaped[item] is not None]:
+        for what in [item for item in ['phase','homogenization'] if item in shape]:
-            for k in np.unique(shaped[what]):                                   # type: ignore
+            for k in np.unique(shape[what]):                                                        # type: ignore
                 if k not in dup[what]: dup[what][str(k)] = None
 
         return dup

python/tests/test_Config.py

@@ -7,6 +7,17 @@ from damask import Orientation
 
 class TestConfig:
 
+    def test_init_keyword(self):
+        assert Config(p=4)['p'] == 4
+
+    @pytest.mark.parametrize('config',[{'p':1},'{p: 1}'])
+    def test_init_config(self,config):
+        assert Config(config)['p'] == 1
+
+    @pytest.mark.parametrize('config',[{'p':1},'{p: 1}'])
+    def test_init_both(self,config):
+        assert Config(config,p=2)['p'] == 2
+
     @pytest.mark.parametrize('flow_style',[None,True,False])
     def test_load_save_str(self,tmp_path,flow_style):
         config = Config()
@@ -36,7 +47,6 @@ class TestConfig:
         assert (config | Config(dummy)).delete({       'hello':1,'foo':2 }) == config
         assert (config | Config(dummy)).delete(Config({'hello':1        })) == config | {'foo':'bar'}
 
-
     def test_repr(self,tmp_path):
         config = Config()
         config['A'] = 1

python/tests/test_ConfigMaterial.py

@@ -16,6 +16,27 @@ def ref_path(ref_path_base):
 
 class TestConfigMaterial:
 
+    def test_init_empty(self):
+        c = ConfigMaterial()
+        assert len(c) == 3
+        assert c['homogenization'] == {}
+        assert c['phase'] == {}
+        assert c['material'] == []
+
+    def test_init_d(self):
+        c = ConfigMaterial(config={'phase':4})
+        assert len(c) == 1
+        assert c['phase'] == 4
+
+    @pytest.mark.parametrize('kwargs',[{'homogenization':{'SX':{}}},
+                                       {'phase':{'Aluminum':{}}},
+                                       {'material':[{'A':1},{'B':2}]}])
+    def test_init_some(self,kwargs):
+        c = ConfigMaterial(**kwargs)
+        assert len(c) == 3
+        for k,v in kwargs.items():
+            if k in kwargs: assert v == kwargs[k]
+
     @pytest.mark.parametrize('fname',[None,'test.yaml'])
     def test_load_save(self,ref_path,tmp_path,fname):
         reference = ConfigMaterial.load(ref_path/'material.yaml')
@@ -88,14 +109,14 @@ class TestConfigMaterial:
     def test_from_table(self):
         N = np.random.randint(3,10)
         a = np.vstack((np.hstack((np.arange(N),np.arange(N)[::-1])),
-                       np.ones(N*2),np.zeros(N*2),np.ones(N*2),np.ones(N*2),
+                       np.zeros(N*2),np.ones(N*2),np.zeros(N*2),np.zeros(N*2),
                        np.ones(N*2),
                       )).T
         t = Table({'varying':1,'constant':4,'ones':1},a)
         c = ConfigMaterial.from_table(t,**{'phase':'varying','O':'constant','homogenization':'ones'})
         assert len(c['material']) == N
         for i,m in enumerate(c['material']):
-            assert m['homogenization'] == 1 and (m['constituents'][0]['O'] == [1,0,1,1]).all()
+            assert m['homogenization'] == 1 and (m['constituents'][0]['O'] == [0,1,0,0]).all()
 
     def test_updated_dicts(self,ref_path):
         m1 = ConfigMaterial().material_add(phase=['Aluminum'],O=[1.0,0.0,0.0,0.0],homogenization='SX')
@@ -109,14 +130,14 @@ class TestConfigMaterial:
     def test_from_table_with_constant(self):
         N = np.random.randint(3,10)
         a = np.vstack((np.hstack((np.arange(N),np.arange(N)[::-1])),
-                       np.ones(N*2),np.zeros(N*2),np.ones(N*2),np.ones(N*2),
+                       np.zeros(N*2),np.ones(N*2),np.zeros(N*2),np.zeros(N*2),
                        np.ones(N*2),
                       )).T
         t = Table({'varying':1,'constant':4,'ones':1},a)
         c = ConfigMaterial.from_table(t,**{'phase':'varying','O':'constant','homogenization':1})
         assert len(c['material']) == N
         for i,m in enumerate(c['material']):
-            assert m['homogenization'] == 1 and (m['constituents'][0]['O'] == [1,0,1,1]).all()
+            assert m['homogenization'] == 1 and (m['constituents'][0]['O'] == [0,1,0,0]).all()
 
     @pytest.mark.parametrize('N,n,kw',[
                                         (1,1,{'phase':'Gold',
@@ -137,6 +158,19 @@ class TestConfigMaterial:
         assert len(m['material']) == N
         assert len(m['material'][0]['constituents']) == n
 
+    @pytest.mark.parametrize('shape',[(),(4,),(5,2)])
+    @pytest.mark.parametrize('kw',[{'V_e':np.random.rand(3,3)},
+                                   {'O':np.random.rand(4)},
+                                   {'v':np.array(2)}])
+    def test_material_add_invalid(self,kw,shape):
+        kw = {arg:np.broadcast_to(val,shape+val.shape) for arg,val in kw.items()}
+        with pytest.raises(ValueError):
+            ConfigMaterial().material_add(**kw)
+
+    @pytest.mark.parametrize('v',[2,np.ones(3)*2,np.ones((2,2))])
+    def test_material_add_invalid_v(self,v):
+        with pytest.raises(ValueError):
+            ConfigMaterial().material_add(v=v)
 
     @pytest.mark.parametrize('cell_ensemble_data',[None,'CellEnsembleData'])
     def test_load_DREAM3D(self,ref_path,cell_ensemble_data):