Example #1
0
def test_clip_extrema_3d():
    ccdlist = [CCDData(np.ones((3, 3, 3)) * 90., unit="adu"),
               CCDData(np.ones((3, 3, 3)) * 20., unit="adu"),
               CCDData(np.ones((3, 3, 3)) * 10., unit="adu"),
               CCDData(np.ones((3, 3, 3)) * 40., unit="adu"),
               CCDData(np.ones((3, 3, 3)) * 25., unit="adu"),
               CCDData(np.ones((3, 3, 3)) * 35., unit="adu"),
               ]
    c = Combiner(ccdlist)
    c.clip_extrema(nlow=1, nhigh=1)
    result = c.average_combine()
    expected = CCDData(np.ones((3, 3, 3)) * 30, unit="adu")
    np.testing.assert_array_equal(result, expected)
Example #2
0
def test_clip_extrema():
    ccdlist = [CCDData(np.ones((3, 5)) * 90., unit="adu"),
               CCDData(np.ones((3, 5)) * 20., unit="adu"),
               CCDData(np.ones((3, 5)) * 10., unit="adu"),
               CCDData(np.ones((3, 5)) * 40., unit="adu"),
               CCDData(np.ones((3, 5)) * 25., unit="adu"),
               CCDData(np.ones((3, 5)) * 35., unit="adu"),
               ]
    ccdlist[0].data[0, 1] = 3.1
    ccdlist[1].data[1, 2] = 100.1
    ccdlist[1].data[2, 0] = 100.1
    c = Combiner(ccdlist)
    c.clip_extrema(nlow=1, nhigh=1)
    result = c.average_combine()
    expected = [[30.0, 22.5, 30.0, 30.0, 30.0],
                [30.0, 30.0, 47.5, 30.0, 30.0],
                [47.5, 30.0, 30.0, 30.0, 30.0]]
    np.testing.assert_array_equal(result, expected)
Example #3
0
def test_clip_extrema_with_other_rejection():
    ccdlist = [CCDData(np.ones((3, 5)) * 90., unit="adu"),
               CCDData(np.ones((3, 5)) * 20., unit="adu"),
               CCDData(np.ones((3, 5)) * 10., unit="adu"),
               CCDData(np.ones((3, 5)) * 40., unit="adu"),
               CCDData(np.ones((3, 5)) * 25., unit="adu"),
               CCDData(np.ones((3, 5)) * 35., unit="adu"),
               ]
    ccdlist[0].data[0, 1] = 3.1
    ccdlist[1].data[1, 2] = 100.1
    ccdlist[1].data[2, 0] = 100.1
    c = Combiner(ccdlist)
    # Reject ccdlist[1].data[1,2] by other means
    c.data_arr.mask[1, 1, 2] = True
    # Reject ccdlist[1].data[1,2] by other means
    c.data_arr.mask[3, 0, 0] = True

    c.clip_extrema(nlow=1, nhigh=1)
    result = c.average_combine()
    expected = [[80. / 3., 22.5, 30., 30., 30.],
                [30., 30., 47.5, 30., 30.],
                [47.5, 30., 30., 30., 30.]]
    np.testing.assert_array_equal(result, expected)