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Added colorize routine to Python API Plot class to generate random color schemes
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1 changed files with 67 additions and 30 deletions
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@ -5,9 +5,9 @@ import sys
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import numpy as np
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import openmc
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import openmc.checkvalue as cv
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from openmc.clean_xml import *
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from openmc.checkvalue import (check_type, check_value, check_length,
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check_greater_than, check_less_than)
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if sys.version_info[0] >= 3:
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basestring = str
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@ -143,70 +143,70 @@ class Plot(object):
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self._id = AUTO_PLOT_ID
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AUTO_PLOT_ID += 1
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else:
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check_type('plot ID', plot_id, Integral)
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check_greater_than('plot ID', plot_id, 0, equality=True)
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cv.check_type('plot ID', plot_id, Integral)
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cv.check_greater_than('plot ID', plot_id, 0, equality=True)
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self._id = plot_id
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@name.setter
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def name(self, name):
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check_type('plot name', name, basestring)
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cv.check_type('plot name', name, basestring)
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self._name = name
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@width.setter
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def width(self, width):
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check_type('plot width', width, Iterable, Real)
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check_length('plot width', width, 2, 3)
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cv.check_type('plot width', width, Iterable, Real)
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cv.check_length('plot width', width, 2, 3)
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self._width = width
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@origin.setter
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def origin(self, origin):
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check_type('plot origin', origin, Iterable, Real)
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check_length('plot origin', origin, 3)
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cv.check_type('plot origin', origin, Iterable, Real)
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cv.check_length('plot origin', origin, 3)
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self._origin = origin
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@pixels.setter
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def pixels(self, pixels):
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check_type('plot pixels', pixels, Iterable, Integral)
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check_length('plot pixels', pixels, 2, 3)
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cv.check_type('plot pixels', pixels, Iterable, Integral)
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cv.check_length('plot pixels', pixels, 2, 3)
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for dim in pixels:
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check_greater_than('plot pixels', dim, 0)
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cv.check_greater_than('plot pixels', dim, 0)
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self._pixels = pixels
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@filename.setter
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def filename(self, filename):
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check_type('filename', filename, basestring)
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cv.check_type('filename', filename, basestring)
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self._filename = filename
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@color.setter
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def color(self, color):
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check_type('plot color', color, basestring)
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check_value('plot color', color, ['cell', 'mat'])
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cv.check_type('plot color', color, basestring)
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cv.check_value('plot color', color, ['cell', 'mat'])
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self._color = color
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@type.setter
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def type(self, plottype):
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check_type('plot type', plottype, basestring)
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check_value('plot type', plottype, ['slice', 'voxel'])
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cv.check_type('plot type', plottype, basestring)
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cv.check_value('plot type', plottype, ['slice', 'voxel'])
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self._type = plottype
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@basis.setter
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def basis(self, basis):
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check_type('plot basis', basis, basestring)
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check_value('plot basis', basis, ['xy', 'xz', 'yz'])
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cv.check_type('plot basis', basis, basestring)
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cv.check_value('plot basis', basis, ['xy', 'xz', 'yz'])
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self._basis = basis
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@background.setter
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def background(self, background):
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check_type('plot background', background, Iterable, Integral)
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check_length('plot background', background, 3)
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cv.check_type('plot background', background, Iterable, Integral)
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cv.check_length('plot background', background, 3)
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for rgb in background:
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check_greater_than('plot background',rgb, 0, True)
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check_less_than('plot background', rgb, 256)
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cv.check_greater_than('plot background',rgb, 0, True)
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cv.check_less_than('plot background', rgb, 256)
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self._background = background
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@col_spec.setter
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def col_spec(self, col_spec):
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check_type('plot col_spec parameter', col_spec, dict, Integral)
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cv.check_type('plot col_spec parameter', col_spec, dict, Integral)
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for key in col_spec:
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if key < 0:
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@ -229,18 +229,18 @@ class Plot(object):
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@mask_componenets.setter
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def mask_components(self, mask_components):
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check_type('plot mask_components', mask_components, Iterable, Integral)
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cv.check_type('plot mask_components', mask_components, Iterable, Integral)
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for component in mask_components:
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check_greater_than('plot mask_components', component, 0, True)
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cv.check_greater_than('plot mask_components', component, 0, True)
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self._mask_components = mask_components
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@mask_background.setter
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def mask_background(self, mask_background):
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check_type('plot mask background', mask_background, Iterable, Integral)
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check_length('plot mask background', mask_background, 3)
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cv.check_type('plot mask background', mask_background, Iterable, Integral)
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cv.check_length('plot mask background', mask_background, 3)
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for rgb in mask_background:
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check_greater_than('plot mask background', rgb, 0, True)
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check_less_than('plot mask background', rgb, 256)
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cv.check_greater_than('plot mask background', rgb, 0, True)
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cv.check_less_than('plot mask background', rgb, 256)
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self._mask_background = mask_background
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def __repr__(self):
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@ -261,6 +261,43 @@ class Plot(object):
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string += '{0: <16}{1}{2}\n'.format('\tCol Spec', '=\t', self._col_spec)
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return string
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def colorize(self, geometry, seed=1):
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"""Generate a color scheme for each domain in the plot.
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This routine may be used to generate random, reproducible color schemes.
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The colors generated are based upon cell/material IDs in the geometry.
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Params
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------
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geometry : openmc.Geometry
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The geometry for which the plot is created
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seed : Integral
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The random number seed used to generate the color scheme
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"""
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cv.check_type('geometry', geometry, openmc.Geometry)
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cv.check_type('seed', seed, Integral)
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cv.check_greater_than('seed', seed, 1, equality=True)
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# Get collections of the domains which will be plotted
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if self.color is 'mat':
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domains = geometry.get_all_materials()
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else:
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domains = geometry.get_all_materials()
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# Set the seed for the random number generator
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np.random.seed(seed)
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# Generate random colors for each feature
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self.col_spec = {}
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for domain in domains:
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r = np.random.randint(0, 255)
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g = np.random.randint(0, 255)
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b = np.random.randint(0, 255)
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self.col_spec[domain.id] = (r, g, b)
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def get_plot_xml(self):
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"""Return XML representation of the plot
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