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Merge pull request #1842 from git-abhishek/viz-image-writer
Adding testcases for visualization.image_writer
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""" | ||
Tests for visualization.image_writer | ||
""" | ||
# ----------------------------------------------------------------------------- | ||
# Copyright (c) 2018, yt Development Team. | ||
# | ||
# Distributed under the terms of the Modified BSD License. | ||
# | ||
# The full license is in the file COPYING.txt, distributed with this software. | ||
# ----------------------------------------------------------------------------- | ||
import os | ||
import shutil | ||
import tempfile | ||
import unittest | ||
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import numpy as np | ||
from nose.tools import assert_raises | ||
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from yt.testing import fake_random_ds, assert_equal | ||
from yt.visualization.image_writer import multi_image_composite, splat_points, \ | ||
write_bitmap, apply_colormap, strip_colormap_data | ||
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class TestImageWriter(unittest.TestCase): | ||
@classmethod | ||
def setUpClass(cls): | ||
cls.tmpdir = tempfile.mkdtemp() | ||
cls.curdir = os.getcwd() | ||
os.chdir(cls.tmpdir) | ||
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@classmethod | ||
def tearDownClass(cls): | ||
os.chdir(cls.curdir) | ||
shutil.rmtree(cls.tmpdir) | ||
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def test_multi_image_composite(self): | ||
ds = fake_random_ds(64, nprocs=4, particles=16**3) | ||
center = [0.5, 0.5, 0.5] | ||
normal = [1, 1, 1] | ||
cut = ds.cutting(normal, center) | ||
frb = cut.to_frb((0.75, 'unitary'), 64) | ||
multi_image_composite("multi_channel1.png", frb["x"], frb["y"]) | ||
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# Test multi_image_composite with user specified scaling values | ||
mi = ds.quan(0.1, 'code_length') | ||
ma = ds.quan(0.9, 'code_length') | ||
multi_image_composite("multi_channel2.png", (frb["x"], mi, ma), | ||
[frb["y"], mi, None], green_channel=frb["z"], | ||
alpha_channel=frb["density"]) | ||
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# Test with numpy integer array | ||
x = np.array(np.random.randint(0, 256, size=(10, 10)), dtype='uint8') | ||
y = np.array(np.random.randint(0, 256, size=(10, 10)), dtype='uint8') | ||
multi_image_composite("multi_channel3.png", x, y) | ||
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def test_write_bitmap(self): | ||
image = np.zeros([16, 16, 4], dtype='uint8') | ||
xs = np.random.rand(100) | ||
ys = np.random.rand(100) | ||
image = splat_points(image, xs, ys) | ||
png_str = write_bitmap(image.copy(), None) | ||
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image_trans = image.swapaxes(0, 1).copy(order="C") | ||
png_str_trans = write_bitmap(image_trans, None, transpose=True) | ||
assert_equal(png_str, png_str_trans) | ||
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with assert_raises(RuntimeError) as ex: | ||
write_bitmap(np.ones([16, 16]), None) | ||
desired = ("Expecting image array of shape (N,M,3) " | ||
"or (N,M,4), received (16, 16)") | ||
assert_equal(str(ex.exception)[:50], desired[:50]) | ||
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def test_strip_colormap_data(self): | ||
strip_colormap_data("_stripped_cmap.py", ("arbre")) | ||
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def test_apply_colormap(self): | ||
x = np.array(np.random.randint(0, 256, size=(10, 10)), dtype='uint8') | ||
apply_colormap(x, color_bounds=None, cmap_name=None, func=lambda x:x**2) |
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