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DAMASK_EICMD
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This commit is contained in:
Martin Diehl 2021-04-24 18:00:57 +02:00
parent 95831e53f6
commit 24046ef683
6 changed files with 113 additions and 27 deletions
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2
PRIVATE

@ -1 +1 @@
Subproject commit 156831f7962a1eb965023331a900121c5aee5e55
Subproject commit afffa8d04e110282e514a4e57d0bad9c76effe01

12
python/damask/__init__.py
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@ -1,11 +1,4 @@
"""
Tools for pre and post processing of DAMASK simulations.
Modules that contain only one class (of the same name),
are prefixed by a '_'. For example, '_colormap' contains
a class called 'Colormap' which is imported as 'damask.Colormap'.
"""
"""Tools for managing DAMASK simulations."""
from pathlib import Path as _Path
import re as _re
@ -15,7 +8,6 @@ with open(_Path(__file__).parent/_Path('VERSION')) as _f:
version = _re.sub(r'^v','',_f.readline().strip())
__version__ = version
# make classes directly accessible as damask.Class
from . import util # noqa
from . import seeds # noqa
from . import tensor # noqa
@ -23,6 +15,8 @@ from . import mechanics # noqa
from . import solver # noqa
from . import grid_filters # noqa
from . import lattice # noqa
#Modules that contain only one class (of the same name), are prefixed by a '_'.
#For example, '_colormap' containsa class called 'Colormap' which is imported as 'damask.Colormap'.
from ._rotation import Rotation # noqa
from ._orientation import Orientation # noqa
from ._table import Table # noqa

15
python/damask/_colormap.py
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@ -96,6 +96,11 @@ class Colormap(mpl.colors.ListedColormap):
new : damask.Colormap
Colormap within given bounds.
Examples
--------
>>> import damask
>>> damask.Colormap.from_range((0,0,1),(0,0,0),'blue_to_black')
"""
low_high = np.vstack((low,high))
if model.lower() == 'rgb':
@ -160,6 +165,11 @@ class Colormap(mpl.colors.ListedColormap):
new : damask.Colormap
Predefined colormap.
Examples
--------
>>> import damask
>>> damask.Colormap.from_predefined('strain')
"""
# matplotlib presets
try:
@ -230,6 +240,11 @@ class Colormap(mpl.colors.ListedColormap):
damask.Colormap
The reversed colormap.
Examples
--------
>>> import damask
>>> damask.Colormap.from_predefined('stress').reversed()
"""
rev = super(Colormap,self).reversed(name)
return Colormap(np.array(rev.colors),rev.name[:-4] if rev.name.endswith('_r_r') else rev.name)

8
python/damask/grid_filters.py
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@ -263,8 +263,8 @@ def cellsSizeOrigin_coordinates0_point(coordinates0,ordered=True):
Returns
-------
DNA : tuple with 3 numpy.ndarray of shape (3)
Information to reconstruct grid: cells, size, origin.
cells, size, origin : Three numpy.ndarray, each of shape (3)
Information to reconstruct grid.
"""
coords = [_np.unique(coordinates0[:,i]) for i in range(3)]
@ -420,8 +420,8 @@ def cellsSizeOrigin_coordinates0_node(coordinates0,ordered=True):
Returns
-------
DNA : tuple with 3 numpy.ndarray of shape (3)
Information to reconstruct grid: cells, size, origin.
cells, size, origin : Three numpy.ndarray, each of shape (3)
Information to reconstruct grid.
"""
coords = [_np.unique(coordinates0[:,i]) for i in range(3)]

12
python/damask/seeds.py
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@ -26,8 +26,8 @@ def from_random(size,N_seeds,cells=None,rng_seed=None):
Returns
-------
new : numpy.ndarray of shape (N_seeds,3)
Coordinates in 3D space.
coords : numpy.ndarray of shape (N_seeds,3)
Seed coordinates in 3D space.
"""
rng = _np.random.default_rng(rng_seed)
@ -63,8 +63,8 @@ def from_Poisson_disc(size,N_seeds,N_candidates,distance,periodic=True,rng_seed=
Returns
-------
new : numpy.ndarray of shape (N_seeds,3)
Coordinates in 3D space.
coords : numpy.ndarray of shape (N_seeds,3)
Seed coordinates in 3D space.
"""
rng = _np.random.default_rng(rng_seed)
@ -106,8 +106,8 @@ def from_grid(grid,selection=None,invert=False,average=False,periodic=True):
Returns
-------
new : numpy.ndarray of shape (...,3)
Coordinates in 3D space.
coords, materials : numpy.ndarray of shape (:,3), numpy.ndarray of shape (:)
Seed coordinates in 3D space, material IDs.
"""
material = grid.material.reshape((-1,1),order='F')

91
python/damask/util.py
View File

@ -49,7 +49,7 @@ _colors = {
####################################################################################################
def srepr(arg,glue = '\n'):
r"""
Join arguments with glue string.
Join items with glue string.
Parameters
----------
@ -58,6 +58,11 @@ def srepr(arg,glue = '\n'):
glue : str, optional
Glue used for joining operation. Defaults to \n.
Returns
-------
joined : str
String representation of the joined items.
"""
if (not hasattr(arg, 'strip') and
(hasattr(arg, '__getitem__') or
@ -68,19 +73,71 @@ def srepr(arg,glue = '\n'):
def emph(what):
"""Formats string with emphasis."""
"""
Format with emphasis.
Parameters
----------
what : object with __repr__ or iterable of objects with __repr__.
Message to format.
Returns
-------
formatted : str
Formatted string representation of the joined items.
"""
return _colors['bold']+srepr(what)+_colors['end_color']
def deemph(what):
"""Formats string with deemphasis."""
"""
Format with deemphasis.
Parameters
----------
what : object with __repr__ or iterable of objects with __repr__.
Message to format.
Returns
-------
formatted : str
Formatted string representation of the joined items.
"""
return _colors['dim']+srepr(what)+_colors['end_color']
def warn(what):
"""Formats string for warning."""
"""
Format for warning.
Parameters
----------
what : object with __repr__ or iterable of objects with __repr__.
Message to format.
Returns
-------
formatted : str
Formatted string representation of the joined items.
"""
return _colors['warning']+emph(what)+_colors['end_color']
def strikeout(what):
"""Formats string as strikeout."""
"""
Format as strikeout.
Parameters
----------
what : object with __repr__ or iterable of objects with __repr__.
Message to format.
Returns
-------
formatted : str
Formatted string representation of the joined items.
"""
return _colors['crossout']+srepr(what)+_colors['end_color']
@ -97,6 +154,11 @@ def execute(cmd,wd='./',env=None):
env : dict, optional
Environment for execution.
Returns
-------
stdout, stderr : str
Output of the executed command.
"""
print(f"executing '{cmd}' in '{wd}'")
process = subprocess.run(shlex.split(cmd),
@ -157,6 +219,11 @@ def scale_to_coprime(v):
v : numpy.ndarray of shape (:)
Vector to scale.
Returns
-------
m : numpy.ndarray of shape (:)
Vector scaled to co-prime numbers.
"""
MAX_DENOMINATOR = 1000000
@ -371,9 +438,14 @@ def DREAM3D_base_group(fname):
Parameters
----------
fname : str
fname : str or pathlib.Path
Filename of the DREAM.3D (HDF5) file.
Returns
-------
path : str
Path to the base group.
"""
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)
@ -393,9 +465,14 @@ def DREAM3D_cell_data_group(fname):
Parameters
----------
fname : str
fname : str or pathlib.Path
Filename of the DREAM.3D (HDF5) file.
Returns
-------
path : str
Path to the cell data group.
"""
base_group = DREAM3D_base_group(fname)
with h5py.File(fname,'r') as f: