def testTranslatedEllipse(self):
args = [0, 0, 20, 10]
expected_rows, expected_cols = shapes.ellipse_fill(*args)
args = [10, 50, 20, 10]
rows, cols = shapes.ellipse_fill(*args)
numpy.testing.assert_allclose(rows, expected_rows + 10)
numpy.testing.assert_allclose(cols, expected_cols + 50)
def testTranslatedEllipse(self):
args = [0, 0, 20, 10]
expected_rows, expected_cols = shapes.ellipse_fill(*args)
args = [10, 50, 20, 10]
rows, cols = shapes.ellipse_fill(*args)
numpy.testing.assert_allclose(rows, expected_rows + 10)
numpy.testing.assert_allclose(cols, expected_cols + 50)
def testEllipse(self):
args = [0, 0, 20, 10]
rows, cols = shapes.ellipse_fill(*args)
self.assertEqual(len(rows), 617)
self.assertEqual(rows.mean(), 0)
self.assertAlmostEqual(rows.std(), 10.025575, places=3)
self.assertEqual(len(cols), 617)
self.assertEqual(cols.mean(), 0)
self.assertAlmostEqual(cols.std(), 4.897325, places=3)
def testEllipse(self):
args = [0, 0, 20, 10]
rows, cols = shapes.ellipse_fill(*args)
self.assertEqual(len(rows), 617)
self.assertEqual(rows.mean(), 0)
self.assertAlmostEqual(rows.std(), 10.025575, places=3)
self.assertEqual(len(cols), 617)
self.assertEqual(cols.mean(), 0)
self.assertAlmostEqual(cols.std(), 4.897325, places=3)
def updateEllipse(self, level, crow, ccol, radius_r, radius_c, mask=True):
"""Mask/Unmask an ellipse of the given mask level.
:param int level: Mask level to update.
:param int crow: Row of the center of the ellipse
:param int ccol: Column of the center of the ellipse
:param float radius_r: Radius of the ellipse in the row
:param float radius_c: Radius of the ellipse in the column
:param bool mask: True to mask (default), False to unmask.
"""
rows, cols = shapes.ellipse_fill(crow, ccol, radius_r, radius_c)
self.updatePoints(level, rows, cols, mask)
def testTranslatedPoint(self):
args = [10, 10, 1, 1]
result = shapes.ellipse_fill(*args)
expected = numpy.array(([10], [10]))
numpy.testing.assert_array_equal(result, expected)
def testTranslatedPoint(self):
args = [10, 10, 1, 1]
result = shapes.ellipse_fill(*args)
expected = numpy.array(([10], [10]))
numpy.testing.assert_array_equal(result, expected)