state return value
not for Rotation as its docstring is extended by Orientation
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@ -91,6 +91,11 @@ class Colormap(mpl.colors.ListedColormap):
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- 'lab': CIE Lab.
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- 'msh': Msh (for perceptual uniform interpolation).
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Returns
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-------
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new : damask.Colormap
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Colormap within given bounds.
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"""
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low_high = np.vstack((low,high))
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if model.lower() == 'rgb':
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@ -150,6 +155,11 @@ class Colormap(mpl.colors.ListedColormap):
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This parameter is not used for matplotlib colormaps
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that are of type `ListedColormap`.
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Returns
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-------
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new : damask.Colormap
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Predefined colormap.
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"""
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# matplotlib presets
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try:
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@ -239,8 +249,8 @@ class Colormap(mpl.colors.ListedColormap):
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Returns
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-------
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f
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File handle
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f : file object
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File handle with write access.
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"""
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if fname is None:
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@ -161,6 +161,11 @@ class Grid:
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Grid file to read. Valid extension is .vtr, which will be appended
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if not given.
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Returns
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-------
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loaded : damask.Grid
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Geometry representation from file.
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"""
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v = VTK.load(fname if str(fname).endswith('.vtr') else str(fname)+'.vtr')
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comments = v.get_comments()
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@ -190,6 +195,11 @@ class Grid:
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fname : str, pathlib.Path, or file handle
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Geometry file to read.
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Returns
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-------
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loaded : damask.Grid
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Geometry representation from file.
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"""
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warnings.warn('Support for ASCII-based geom format will be removed in DAMASK 3.1.0', DeprecationWarning,2)
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try:
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@ -281,6 +291,10 @@ class Grid:
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and grain- or cell-wise data. Defaults to None, in which case
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it is set as the path that contains _SIMPL_GEOMETRY/SPACING.
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Returns
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-------
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loaded : damask.Grid
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Geometry representation from file.
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"""
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b = util.DREAM3D_base_group(fname) if base_group is None else base_group
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@ -319,6 +333,11 @@ class Grid:
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Label(s) of the columns containing the material definition.
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Each unique combination of values results in one material ID.
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Returns
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-------
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new : damask.Grid
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Geometry representation from values in table.
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"""
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cells,size,origin = grid_filters.cellsSizeOrigin_coordinates0_point(table.get(coordinates))
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@ -356,6 +375,11 @@ class Grid:
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periodic : Boolean, optional
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Assume grid to be periodic. Defaults to True.
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Returns
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-------
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new : damask.Grid
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Geometry representation from tessellation.
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"""
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if periodic:
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weights_p = np.tile(weights,27) # Laguerre weights (1,2,3,1,2,3,...,1,2,3)
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@ -405,6 +429,11 @@ class Grid:
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periodic : Boolean, optional
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Assume grid to be periodic. Defaults to True.
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Returns
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-------
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new : damask.Grid
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Geometry representation from tessellation.
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"""
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coords = grid_filters.coordinates0_point(cells,size).reshape(-1,3)
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KDTree = spatial.cKDTree(seeds,boxsize=size) if periodic else spatial.cKDTree(seeds)
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@ -478,6 +507,11 @@ class Grid:
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materials : (int, int), optional
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Material IDs. Defaults to (1,2).
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Returns
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-------
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new : damask.Grid
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Geometry representation defined by a minimal surface.
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Notes
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-----
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The following triply-periodic minimal surfaces are implemented:
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@ -598,6 +632,11 @@ class Grid:
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periodic : Boolean, optional
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Assume grid to be periodic. Defaults to True.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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# radius and center
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r = np.array(dimension)/2.0*self.size/self.cells if np.array(dimension).dtype in np.sctypes['int'] else \
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@ -638,6 +677,11 @@ class Grid:
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reflect : bool, optional
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Reflect (include) outermost layers. Defaults to False.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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valid = ['x','y','z']
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if not set(directions).issubset(valid):
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@ -670,6 +714,11 @@ class Grid:
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Direction(s) along which the grid is flipped.
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Valid entries are 'x', 'y', 'z'.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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valid = ['x','y','z']
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if not set(directions).issubset(valid):
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@ -695,6 +744,11 @@ class Grid:
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periodic : Boolean, optional
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Assume grid to be periodic. Defaults to True.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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return Grid(material = ndimage.interpolation.zoom(
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self.material,
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@ -723,6 +777,11 @@ class Grid:
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periodic : Boolean, optional
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Assume grid to be periodic. Defaults to True.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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def mostFrequent(arr,selection=None):
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me = arr[arr.size//2]
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@ -746,7 +805,15 @@ class Grid:
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def renumber(self):
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"""Renumber sorted material indices as 0,...,N-1."""
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"""
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Renumber sorted material indices as 0,...,N-1.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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_,renumbered = np.unique(self.material,return_inverse=True)
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return Grid(material = renumbered.reshape(self.cells),
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@ -767,6 +834,11 @@ class Grid:
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fill : int or float, optional
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Material index to fill the corners. Defaults to material.max() + 1.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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if fill is None: fill = np.nanmax(self.material) + 1
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dtype = float if isinstance(fill,float) or self.material.dtype in np.sctypes['float'] else int
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@ -802,6 +874,11 @@ class Grid:
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fill : int or float, optional
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Material index to fill the background. Defaults to material.max() + 1.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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if offset is None: offset = 0
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if fill is None: fill = np.nanmax(self.material) + 1
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@ -834,6 +911,11 @@ class Grid:
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to_material : iterable of ints
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New material indices.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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def mp(entry,mapper):
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return mapper[entry] if entry in mapper else entry
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def sort(self):
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"""Sort material indices such that min(material) is located at (0,0,0)."""
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"""
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Sort material indices such that min(material) is located at (0,0,0).
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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a = self.material.flatten(order='F')
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from_ma = pd.unique(a)
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sort_idx = np.argsort(from_ma)
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@ -884,6 +974,11 @@ class Grid:
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periodic : Boolean, optional
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Assume grid to be periodic. Defaults to True.
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Returns
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-------
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updated : damask.Grid
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Updated geometry representation.
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"""
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def tainted_neighborhood(stencil,trigger):
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@ -357,7 +357,7 @@ class Rotation:
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Parameters
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----------
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other : Rotation or list of Rotations.
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other : damask.Rotation
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"""
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return self.copy(rotation=np.vstack(tuple(map(lambda x:x.quaternion,
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def flatten(self,order = 'C'):
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"""Flatten array."""
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"""
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Flatten array.
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Returns
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-------
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flattened : damask.Rotation
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Rotation flattened to single dimension.
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"""
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return self.copy(rotation=self.quaternion.reshape((-1,4),order=order))
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def reshape(self,shape,order = 'C'):
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"""Reshape array."""
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"""
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Reshape array.
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Returns
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-------
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reshaped : damask.Rotation
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Rotation of given shape.
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"""
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if isinstance(shape,(int,np.integer)): shape = (shape,)
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return self.copy(rotation=self.quaternion.reshape(tuple(shape)+(4,),order=order))
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Where to preferentially locate missing dimensions.
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Either 'left' or 'right' (default).
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Returns
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-------
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broadcasted : damask.Rotation
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Rotation broadcasted to given shape.
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"""
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if isinstance(shape,(int,np.integer)): shape = (shape,)
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return self.copy(rotation=np.broadcast_to(self.quaternion.reshape(util.shapeshifter(self.shape,shape,mode)+(4,)),
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Returns
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-------
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average : Rotation
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average : damask.Rotation
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Weighted average of original Rotation field.
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References
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@ -438,9 +459,14 @@ class Rotation:
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Parameters
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----------
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other : Rotation
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other : damask.Rotation
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Rotation to which the misorientation is computed.
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Returns
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-------
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g : damask.Rotation
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Misorientation.
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"""
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return other*~self
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Returns
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-------
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rho : numpy.ndarray of shape (...,4) containing
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rho : numpy.ndarray of shape (...,4) containing
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[n_1, n_2, n_3, tan(ω/2)], ǀnǀ = 1 and ω ∈ [0,π]
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unless compact == True:
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numpy.ndarray of shape (...,3) containing
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numpy.ndarray of shape (...,3) containing
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tan(ω/2) [n_1, n_2, n_3], ω ∈ [0,π].
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"""
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