added test

ctapipe/image/tests/test_ellipsoid.py

@@ -0,0 +1,68 @@
+import itertools
+
+import numpy as np
+import pytest
+from astropy import units as u
+from astropy.coordinates import Angle, SkyCoord
+from numpy import isclose
+from pytest import approx
+
+from ctapipe.containers import (
+    CameraHillasParametersContainer,
+    HillasParametersContainer,
+)
+from ctapipe.coordinates import TelescopeFrame
+from ctapipe.image import tailcuts_clean, toymodel
+from ctapipe.image.hillas import HillasParameterizationError, hillas_parameters
+from ctapipe.image.ellipsoid import ImageFitParameterizationError, image_fit_parameters
+from ctapipe.instrument import CameraGeometry, SubarrayDescription
+
+def create_sample_image(
+    psi="-30d",
+    x=0.2 * u.m,
+    y=0.3 * u.m,
+    width=0.05 * u.m,
+    length=0.15 * u.m,
+    intensity=1500,
+    geometry=None,
+):
+
+    if geometry is None:
+        s = SubarrayDescription.read("dataset://gamma_prod5.simtel.zst")
+        geometry = s.tel[1].camera.geometry
+
+    # make a toymodel shower model
+    model = toymodel.Gaussian(x=x, y=y, width=width, length=length, psi=psi)
+
+    # generate toymodel image in camera for this shower model.
+    rng = np.random.default_rng(0)
+    image, _, _ = model.generate_image(
+        geometry, intensity=intensity, nsb_level_pe=3, rng=rng
+    )
+
+    # calculate pixels likely containing signal
+    clean_mask = tailcuts_clean(geometry, image, 10, 5)
+
+    return image, clean_mask
+
+def test_imagefit_failure(prod5_lst):
+    geom = prod5_lst.camera.geometry
+    blank_image = np.zeros(geom.n_pixels)
+
+    with pytest.raises(ImageFitParameterizationError):
+        image_fit_parameters(geom, blank_image)
+
+def test_hillas_similarity(prod5_lst):
+    geom = prod5_lst.camera.geometry
+    image, clean_mask = create_sample_image(psi="0d", geometry=geom)
+
+    cleaned_image = image.copy()
+    cleaned_image[~clean_mask] = 0
+
+    imagefit = image_fit_parameters(geom, image_zeros)
+    hillas = hillas_parameters(geom, image_zeros)
+
+    assert_allclose(imagefit.r, hillas.r, rtol=0.2)
+    assert_allclose(imagefit.length, hillas.length, rtol=0.2)
+
+