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DAMASK_EICMD
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Martin Diehl 2020-03-19 07:45:31 +01:00
parent d28df815f0
commit 6d0c4b9765
1 changed files with 66 additions and 66 deletions
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python/damask/result.py
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@ -22,7 +22,7 @@ class Result:
""" """
Read and write to DADF5 files. Read and write to DADF5 files.
DADF5 (DAKMASK HDF5) files contain DAMASK results. DADF5 (DAMASK HDF5) files contain DAMASK results.
""" """
def __init__(self,fname): def __init__(self,fname):
@ -32,7 +32,7 @@ class Result:
Parameters Parameters
---------- ----------
fname : str fname : str
name of the DADF5 file to be openend. name of the DADF5 file to be openend.
""" """
with h5py.File(fname,'r') as f: with h5py.File(fname,'r') as f:
@ -95,12 +95,12 @@ class Result:
Parameters Parameters
---------- ----------
action : str action : str
select from 'set', 'add', and 'del' select from 'set', 'add', and 'del'
what : str what : str
attribute to change (must be from self.selection) attribute to change (must be from self.selection)
datasets : list of str or Boolean datasets : list of str or Boolean
name of datasets as list, supports ? and * wildcards. name of datasets as list, supports ? and * wildcards.
True is equivalent to [*], False is equivalent to [] True is equivalent to [*], False is equivalent to []
""" """
# allow True/False and string arguments # allow True/False and string arguments
@ -167,7 +167,7 @@ class Result:
Parameters Parameters
---------- ----------
what : str what : str
attribute to change (must be from self.selection) attribute to change (must be from self.selection)
""" """
datasets = self.selection[what] datasets = self.selection[what]
@ -189,10 +189,10 @@ class Result:
Parameters Parameters
---------- ----------
what : str what : str
attribute to change (must be from self.selection) attribute to change (must be from self.selection)
datasets : list of str or Boolean datasets : list of str or Boolean
name of datasets as list, supports ? and * wildcards. name of datasets as list, supports ? and * wildcards.
True is equivalent to [*], False is equivalent to [] True is equivalent to [*], False is equivalent to []
""" """
self._manage_selection('set',what,datasets) self._manage_selection('set',what,datasets)
@ -205,10 +205,10 @@ class Result:
Parameters Parameters
---------- ----------
what : str what : str
attribute to change (must be from self.selection) attribute to change (must be from self.selection)
datasets : list of str or Boolean datasets : list of str or Boolean
name of datasets as list, supports ? and * wildcards. name of datasets as list, supports ? and * wildcards.
True is equivalent to [*], False is equivalent to [] True is equivalent to [*], False is equivalent to []
""" """
self._manage_selection('add',what,datasets) self._manage_selection('add',what,datasets)
@ -221,10 +221,10 @@ class Result:
Parameters Parameters
---------- ----------
what : str what : str
attribute to change (must be from self.selection) attribute to change (must be from self.selection)
datasets : list of str or Boolean datasets : list of str or Boolean
name of datasets as list, supports ? and * wildcards. name of datasets as list, supports ? and * wildcards.
True is equivalent to [*], False is equivalent to [] True is equivalent to [*], False is equivalent to []
""" """
self._manage_selection('del',what,datasets) self._manage_selection('del',what,datasets)
@ -248,13 +248,13 @@ class Result:
---------- ----------
datasets : iterable or str datasets : iterable or str
component : int component : int
homogenization component to consider for constituent data homogenization component to consider for constituent data
tagged : Boolean tagged : Boolean
tag Table.column name with '#component' tag Table.column name with '#component'
defaults to False defaults to False
split : Boolean split : Boolean
split Table by increment and return dictionary of Tables split Table by increment and return dictionary of Tables
defaults to True defaults to True
""" """
sets = datasets if hasattr(datasets,'__iter__') and not isinstance(datasets,str) \ sets = datasets if hasattr(datasets,'__iter__') and not isinstance(datasets,str) \
@ -313,17 +313,17 @@ class Result:
Parameters Parameters
---------- ----------
datasets : iterable or str or Boolean datasets : iterable or str or Boolean
Examples Examples
-------- --------
datasets = False matches no group datasets = False matches no group
datasets = True matches all groups datasets = True matches all groups
datasets = ['F','P'] matches a group with ['F','P','sigma'] datasets = ['F','P'] matches a group with ['F','P','sigma']
datasets = ['*','P'] matches a group with ['F','P'] datasets = ['*','P'] matches a group with ['F','P']
datasets = ['*'] does not match a group with ['F','P','sigma'] datasets = ['*'] does not match a group with ['F','P','sigma']
datasets = ['*','*'] does not match a group with ['F','P','sigma'] datasets = ['*','*'] does not match a group with ['F','P','sigma']
datasets = ['*','*','*'] matches a group with ['F','P','sigma'] datasets = ['*','*','*'] matches a group with ['F','P','sigma']
""" """
if datasets is False: return [] if datasets is False: return []
@ -471,7 +471,7 @@ class Result:
Parameters Parameters
---------- ----------
x : str x : str
Label of scalar, vector, or tensor dataset to take absolute value of. Label of scalar, vector, or tensor dataset to take absolute value of.
""" """
self._add_generic_pointwise(self._add_absolute,{'x':x}) self._add_generic_pointwise(self._add_absolute,{'x':x})
@ -501,13 +501,13 @@ class Result:
label : str label : str
Label of resulting dataset. Label of resulting dataset.
formula : str formula : str
Formula to calculate resulting dataset. Existing datasets are referenced by ‘#TheirLabel#‘. Formula to calculate resulting dataset. Existing datasets are referenced by ‘#TheirLabel#‘.
unit : str, optional unit : str, optional
Physical unit of the result. Physical unit of the result.
description : str, optional description : str, optional
Human-readable description of the result. Human-readable description of the result.
vectorized : bool, optional vectorized : bool, optional
Indicate whether the formula can be used in vectorized form. Defaults to ‘True’. Indicate whether the formula can be used in vectorized form. Defaults to ‘True’.
""" """
if not vectorized: if not vectorized:
@ -538,9 +538,9 @@ class Result:
Parameters Parameters
---------- ----------
P : str, optional P : str, optional
Label of the dataset containing the first Piola-Kirchhoff stress. Defaults to ‘P’. Label of the dataset containing the first Piola-Kirchhoff stress. Defaults to ‘P’.
F : str, optional F : str, optional
Label of the dataset containing the deformation gradient. Defaults to ‘F’. Label of the dataset containing the deformation gradient. Defaults to ‘F’.
""" """
self._add_generic_pointwise(self._add_Cauchy,{'P':P,'F':F}) self._add_generic_pointwise(self._add_Cauchy,{'P':P,'F':F})
@ -564,7 +564,7 @@ class Result:
Parameters Parameters
---------- ----------
T : str T : str
Label of tensor dataset. Label of tensor dataset.
""" """
self._add_generic_pointwise(self._add_determinant,{'T':T}) self._add_generic_pointwise(self._add_determinant,{'T':T})
@ -591,7 +591,7 @@ class Result:
Parameters Parameters
---------- ----------
T : str T : str
Label of tensor dataset. Label of tensor dataset.
""" """
self._add_generic_pointwise(self._add_deviator,{'T':T}) self._add_generic_pointwise(self._add_deviator,{'T':T})
@ -615,7 +615,7 @@ class Result:
Parameters Parameters
---------- ----------
T_sym : str T_sym : str
Label of symmetric tensor dataset. Label of symmetric tensor dataset.
""" """
self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym}) self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym})
@ -639,7 +639,7 @@ class Result:
Parameters Parameters
---------- ----------
T_sym : str T_sym : str
Label of symmetric tensor dataset. Label of symmetric tensor dataset.
""" """
self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym}) self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym})
@ -675,9 +675,9 @@ class Result:
Parameters Parameters
---------- ----------
q : str q : str
Label of the dataset containing the crystallographic orientation as quaternions. Label of the dataset containing the crystallographic orientation as quaternions.
l : numpy.array of shape (3) l : numpy.array of shape (3)
Lab frame direction for inverse pole figure. Lab frame direction for inverse pole figure.
""" """
self._add_generic_pointwise(self._add_IPFcolor,{'q':q},{'l':l}) self._add_generic_pointwise(self._add_IPFcolor,{'q':q},{'l':l})
@ -701,7 +701,7 @@ class Result:
Parameters Parameters
---------- ----------
T_sym : str T_sym : str
Label of symmetric tensor dataset. Label of symmetric tensor dataset.
""" """
self._add_generic_pointwise(self._add_maximum_shear,{'T_sym':T_sym}) self._add_generic_pointwise(self._add_maximum_shear,{'T_sym':T_sym})
@ -728,7 +728,7 @@ class Result:
Parameters Parameters
---------- ----------
T_sym : str T_sym : str
Label of symmetric tensorial stress or strain dataset. Label of symmetric tensorial stress or strain dataset.
""" """
self._add_generic_pointwise(self._add_Mises,{'T_sym':T_sym}) self._add_generic_pointwise(self._add_Mises,{'T_sym':T_sym})
@ -764,9 +764,9 @@ class Result:
Parameters Parameters
---------- ----------
x : str x : str
Label of vector or tensor dataset. Label of vector or tensor dataset.
ord : {non-zero int, inf, -inf, ‘fro’, ‘nuc’}, optional ord : {non-zero int, inf, -inf, ‘fro’, ‘nuc’}, optional
Order of the norm. inf means NumPy’s inf object. For details refer to numpy.linalg.norm. Order of the norm. inf means NumPy’s inf object. For details refer to numpy.linalg.norm.
""" """
self._add_generic_pointwise(self._add_norm,{'x':x},{'ord':ord}) self._add_generic_pointwise(self._add_norm,{'x':x},{'ord':ord})
@ -792,9 +792,9 @@ class Result:
Parameters Parameters
---------- ----------
P : str, optional P : str, optional
Label first Piola-Kirchhoff stress dataset. Defaults to ‘P’. Label first Piola-Kirchhoff stress dataset. Defaults to ‘P’.
F : str, optional F : str, optional
Label of deformation gradient dataset. Defaults to ‘F’. Label of deformation gradient dataset. Defaults to ‘F’.
""" """
self._add_generic_pointwise(self._add_PK2,{'P':P,'F':F}) self._add_generic_pointwise(self._add_PK2,{'P':P,'F':F})
@ -830,11 +830,11 @@ class Result:
Parameters Parameters
---------- ----------
q : str q : str
Label of the dataset containing the crystallographic orientation as quaternions. Label of the dataset containing the crystallographic orientation as quaternions.
p : numpy.array of shape (3) p : numpy.array of shape (3)
Crystallographic direction or plane. Crystallographic direction or plane.
polar : bool, optional polar : bool, optional
Give pole in polar coordinates. Defaults to False. Give pole in polar coordinates. Defaults to False.
""" """
self._add_generic_pointwise(self._add_pole,{'q':q},{'p':p,'polar':polar}) self._add_generic_pointwise(self._add_pole,{'q':q},{'p':p,'polar':polar})
@ -860,7 +860,7 @@ class Result:
Parameters Parameters
---------- ----------
F : str, optional F : str, optional
Label of deformation gradient dataset. Label of deformation gradient dataset.
""" """
self._add_generic_pointwise(self._add_rotational_part,{'F':F}) self._add_generic_pointwise(self._add_rotational_part,{'F':F})
@ -887,7 +887,7 @@ class Result:
Parameters Parameters
---------- ----------
T : str T : str
Label of tensor dataset. Label of tensor dataset.
""" """
self._add_generic_pointwise(self._add_spherical,{'T':T}) self._add_generic_pointwise(self._add_spherical,{'T':T})
@ -916,12 +916,12 @@ class Result:
Parameters Parameters
---------- ----------
F : str, optional F : str, optional
Label of deformation gradient dataset. Defaults to ‘F’. Label of deformation gradient dataset. Defaults to ‘F’.
t : {‘V’, ‘U’}, optional t : {‘V’, ‘U’}, optional
Type of the polar decomposition, ‘V’ for left stretch tensor and ‘U’ for right stretch tensor. Type of the polar decomposition, ‘V’ for left stretch tensor and ‘U’ for right stretch tensor.
Defaults to ‘V’. Defaults to ‘V’.
m : float, optional m : float, optional
Order of the strain calculation. Defaults to ‘0.0’. Order of the strain calculation. Defaults to ‘0.0’.
""" """
self._add_generic_pointwise(self._add_strain_tensor,{'F':F},{'t':t,'m':m}) self._add_generic_pointwise(self._add_strain_tensor,{'F':F},{'t':t,'m':m})
@ -949,10 +949,10 @@ class Result:
Parameters Parameters
---------- ----------
F : str, optional F : str, optional
Label of deformation gradient dataset. Defaults to ‘F’. Label of deformation gradient dataset. Defaults to ‘F’.
t : {‘V’, ‘U’}, optional t : {‘V’, ‘U’}, optional
Type of the polar decomposition, ‘V’ for left stretch tensor and ‘U’ for right stretch tensor. Type of the polar decomposition, ‘V’ for left stretch tensor and ‘U’ for right stretch tensor.
Defaults to ‘V’. Defaults to ‘V’.
""" """
self._add_generic_pointwise(self._add_stretch_tensor,{'F':F},{'t':t}) self._add_generic_pointwise(self._add_stretch_tensor,{'F':F},{'t':t})
@ -984,11 +984,11 @@ class Result:
Parameters Parameters
---------- ----------
func : function func : function
Callback function that calculates a new dataset from one or more datasets per HDF5 group. Callback function that calculates a new dataset from one or more datasets per HDF5 group.
datasets : dictionary datasets : dictionary
Details of the datasets to be used: label (in HDF5 file) and arg (argument to which the data is parsed in func). Details of the datasets to be used: label (in HDF5 file) and arg (argument to which the data is parsed in func).
args : dictionary, optional args : dictionary, optional
Arguments parsed to func. Arguments parsed to func.
""" """
pool = multiprocessing.Pool(int(Environment().options['DAMASK_NUM_THREADS'])) pool = multiprocessing.Pool(int(Environment().options['DAMASK_NUM_THREADS']))
@ -1021,10 +1021,10 @@ class Result:
Parameters Parameters
---------- ----------
labels : str or list of labels : str or list of
Labels of the datasets to be exported. Labels of the datasets to be exported.
mode : str, either 'cell' or 'point' mode : str, either 'cell' or 'point'
Export in cell format or point format. Export in cell format or point format.
Defaults to 'cell'. Defaults to 'cell'.
""" """
if mode.lower()=='cell': if mode.lower()=='cell':