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"""Tests casacore.images module."""
import unittest
from casacore.images import *
import numpy
import tempfile
import os
try:
import numpy.ma as nma
except ImportError:
import numpy.core.ma as nma
class TestImage(unittest.TestCase):
"""Unittesting Class."""
tempdir = tempfile.gettempdir()
os.chdir(tempdir)
def test_image(self):
"""Create an image."""
im = image("testimg", shape=[4, 3])
im1 = image("", shape=[4, 3])
self.assertEqual(im.ndim(), 2)
self.assertEqual(im.shape(), [4, 3])
self.assertEqual(len(im), 12)
self.assertEqual(im.size(), 12)
self.assertTrue(im.ispersistent())
self.assertEqual(im.datatype(), 'float')
self.assertEqual(im.imagetype(), 'PagedImage')
self.assertEqual(im1.name(), 'Temporary_Image')
self.assertEqual(im1.imagetype(), 'TempImage')
def test_write_data(self):
"""Write data into it."""
im = image("testimg", shape=[4, 3])
im.put(numpy.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]))
numpy.testing.assert_equal(im.getdata(),
numpy.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
[10, 11, 12]]))
numpy.testing.assert_equal(im.getdata((0, 0), (2, 1)),
numpy.array([[1, 2],
[4, 5],
[7, 8]]))
# blc,trc,inc get adjusted
numpy.testing.assert_equal(im.getdata(0, 2, 2),
numpy.array([[1, 2, 3],
[7, 8, 9]]))
def test_image_mask(self):
"""Test image mask."""
im1 = image("testimg", shape=[2, 3])
marr = nma.masked_array(numpy.array([[1, 2, 3], [4, 5, 6]]),
mask=[[False, True, False], [False, False, True]])
im1.put(marr)
numpy.testing.assert_equal(im1.getdata(), marr.data)
numpy.testing.assert_equal(im1.getmask(), marr.mask)
im1.putmask(numpy.array([[True, False, True],
[False, False, False]]), (0, 0), (0, 1))
numpy.testing.assert_equal(im1.getmask(),
numpy.array([[True, False, True],
[False, False, False]]))
numpy.testing.assert_equal(im1.getdata(),
numpy.array([[1, 2, 3], [4, 5, 6]]))
im1.putdata(numpy.array([0, 1, 0]), (0, 0), (0, 1))
numpy.testing.assert_equal(im1.getdata(),
numpy.array([[0, 1, 0], [4, 5, 6]]))
def test_image_mask2(self):
"""Test image mask."""
marr = nma.masked_array(numpy.array([[1., 2, 3], [4, 5, 6]]),
mask=[[False, True, False], [False, False, True]])
im1 = image("testimg", values=marr)
numpy.testing.assert_equal(im1.getdata(), marr.data)
numpy.testing.assert_equal(im1.getmask(), marr.mask)
def test_lock(self):
"""Test lock."""
im = image("testimg", shape=[2, 3])
im.saveas('timage.img1')
im1 = image('timage.img1')
self.assertTrue(im1.haslock())
im1.unlock()
self.assertFalse(im1.haslock())
im1.lock()
self.assertTrue(im1.haslock())
def test_expr(self):
"""Create an expression from the image."""
im = image("testimg", shape=[2, 3])
im.put(numpy.array([[1, 2, 3], [4, 5, 6]]))
imex = image('$im + $im')
numpy.testing.assert_equal(imex.getdata(),
numpy.array([[2., 4., 6.],
[8., 10., 12.]]))
def test_subset(self):
"""Create a subset and update it."""
im = image("testimg", shape=[2, 3])
im.put(numpy.array([[1, 2, 3], [4, 5, 6]]))
im1 = im.subimage(0, 1, 2)
numpy.testing.assert_equal(im1.getdata(),
numpy.array([1, 2, 3]))
im1.putdata(im1.getdata() + 1)
numpy.testing.assert_equal(im1.getdata(),
numpy.array([2, 3, 4]))
numpy.testing.assert_equal(im.getmask(),
numpy.array([[False, False, False],
[False, False, False]]))
def test_concimg(self):
"""Create a concatenated image."""
im = image("testimg", shape=[2, 3])
im.put(numpy.array([[1, 2, 3], [4, 5, 6]]))
imc1 = image((im, im))
self.assertEqual(imc1.shape(), [2, 6])
numpy.testing.assert_equal(imc1.getdata(),
numpy.array([[1, 2, 3, 1, 2, 3],
[4, 5, 6, 4, 5, 6]]))
imc1.saveas('timage.py_tmp.img1')
imc2 = image('timage.py_tmp.img1')
numpy.testing.assert_equal(imc2.getdata(),
numpy.array([[1, 2, 3, 1, 2, 3],
[4, 5, 6, 4, 5, 6]]))
def test_float(self):
"""Create a float image expression with a mask."""
im = image("testimg", shape=[2, 3])
im.put(numpy.array([[1, 2, 3], [4, 5, 6]]))
im.saveas('timage.py_tmp.img1')
imex = image('float(timage.py_tmp.img1[timage.py_tmp.img1 > 3])')
numpy.testing.assert_equal(imex.getdata(),
numpy.array([[1, 2, 3],
[4, 5, 6]]))
numpy.testing.assert_equal(imex.getmask(),
numpy.array([[True, True, True],
[False, False, False]]))
imex.saveas('timage.py_tmp.img2', copymask=True)
imex2 = image('timage.py_tmp.img2', mask='mask0')
numpy.testing.assert_equal(imex2.getmask(),
numpy.array([[True, True, True],
[False, False, False]]))
imex2.put(imex2.getdata() + 10)
numpy.testing.assert_equal(imex2.getdata(),
numpy.array([[11, 12, 13],
[14, 15, 16]]))
print(imex2.statistics())
imex2.tofits('timage.py_tmp.fits')
imex3 = image('timage.py_tmp.fits')
print(imex3.getdata())
def test_image_coordinate(self):
"""Get some info on a coordinate system and change it."""
im = image("testimg", shape=[2, 2, 2, 2])
im.put(numpy.array([[[[1, 2], [3, 4]], [[5, 6], [7, 8]]],
[[[1, 2], [3, 4]], [[5, 6], [7, 8]]]]))
imcor = im.coordinates()
print(im.info())
imcor.set_referencepixel([3, numpy.array([2]), numpy.array([1, 1])])
numpy.testing.assert_equal(imcor.get_referencepixel(),
[3, numpy.array([2]), numpy.array([1, 1])])
self.assertIn('direction', imcor.get_names())
self.assertAlmostEqual(imcor.get_obsdate()['m0']['value'],
51544.00000000116)
self.assertEqual(imcor.get_observer(), 'Karl Jansky')
self.assertEqual(imcor.get_telescope(), 'ALMA')
imcor.set_referencevalue([1, numpy.array([2]), numpy.array([3, 4])])
numpy.testing.assert_equal(imcor.get_referencevalue(),
[1, numpy.array([2]), numpy.array([3, 4])])
imcor.set_increment([4, numpy.array([3]), numpy.array([2, 1])])
numpy.testing.assert_equal(imcor.get_increment(),
[4, numpy.array([3]), numpy.array([2, 1])])
numpy.testing.assert_equal(imcor.get_axes(),
['Frequency', ['Stokes'],
['Declination', 'Right Ascension']])
print(imcor)
self.assertEqual(imcor.get_unit(), ['Hz', [], ["'", "'"]])
def test_direction_coordinate(self):
"""Tests direction coordinates."""
im = image("testimg", shape=[2, 2, 2, 2])
imcor = im.coordinates()
dircor = imcor.get_coordinate('direction')
print(dircor)
self.assertEqual(dircor.get_axis_size(), 2)
self.assertEqual(dircor.get_image_axis(), 2)
dircor.set_referencepixel([3.0, 0.0])
self.assertEqual(dircor.get_referencepixel(), [3.0, 0.0])
self.assertEqual(dircor.get_projection(), 'SIN')
dircor.set_projection('TAN')
self.assertEqual(dircor.get_projection(), 'TAN')
self.assertEqual(dircor.get_frame(), 'J2000')
dircor.set_frame('B1950')
self.assertEqual(dircor.get_frame(), 'B1950')
def test_spectral_coordinate(self):
"""Tests spectral coordinates."""
im = image("testimg", shape=[2, 2, 2, 2])
imcor = im.coordinates()
spcor = imcor.get_coordinate('spectral')
print (spcor)
self.assertEqual(spcor.get_axis_size(), 2)
self.assertEqual(spcor.get_image_axis(), 0)
self.assertEqual(spcor.get_unit(), 'Hz')
spcor.set_referencepixel(2)
self.assertEqual(spcor.get_referencepixel(), 2)
spcor.set_referencevalue(2)
self.assertEqual(spcor.get_referencevalue(), 2)
spcor.set_increment(3)
self.assertEqual(spcor.get_increment(), 3)
self.assertEqual(spcor.get_axes(), 'Frequency')
spcor.set_restfrequency(1200)
self.assertEqual(spcor.get_restfrequency(), 1200)
self.assertEqual(spcor.get_frame(), 'LSRK')
spcor.set_frame('BARY')
self.assertEqual(spcor.get_frame(), 'BARY')
self.assertEqual(spcor.get_conversion()['direction']['m1']['unit'],
'rad')
def tests_stokes_coordinate(self):
"""Tests stokes coordinates."""
im = image("testimg", shape=[2, 2, 2, 2])
imcor = im.coordinates()
stkco = imcor.get_coordinate('stokes')
self.assertEqual(stkco.get_axis_size(), 2)
self.assertEqual(stkco.get_image_axis(), 1)
self.assertEqual(stkco.get_stokes(), ['I', 'Q'])
# TODO
# Test AttrGroup
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