Check if environment has skimage before running tests

Wrappers/Python/test/test_reconstructors.py

@@ -20,9 +20,8 @@
 from cil.framework import AcquisitionGeometry
 from cil.utilities.dataexample import SIMULATED_PARALLEL_BEAM_DATA, SIMULATED_CONE_BEAM_DATA, SIMULATED_SPHERE_VOLUME
 from scipy.fft  import fft, ifft
-from skimage.transform.radon_transform import _get_fourier_filter as skimage_get_fourier_filter
 import numpy as np
-from utils import has_tigre, has_ipp, has_astra, has_nvidia, has_matplotlib, initialise_tests
+from utils import has_tigre, has_ipp, has_astra, has_nvidia, has_matplotlib, has_skimage, initialise_tests
 
 from cil.recon.Reconstructor import Reconstructor # checks on baseclass
 from cil.recon.FBP import GenericFilteredBackProjection # checks on baseclass
@@ -43,6 +42,8 @@
 if has_matplotlib:
     import matplotlib.testing.compare as compare
 
+if has_skimage:
+    from skimage.transform.radon_transform import _get_fourier_filter as skimage_get_fourier_filter
 
 class Test_Reconstructor(unittest.TestCase):
 
@@ -241,7 +242,7 @@ def test_set_filter(self):
             reconstructor.set_filter(filter[1:-1])
 
 
-    @unittest.skipUnless(has_tigre and has_ipp, "TIGRE or IPP not installed")
+    @unittest.skipUnless(has_tigre and has_ipp and has_skimage, "TIGRE, IPP or SKIMAGE not installed")
     def test_get_filter_array(self):
 
         reconstructor = GenericFilteredBackProjection(self.ad3D)

Wrappers/Python/test/utils.py

@@ -134,6 +134,14 @@ def initialise_tests():
     has_matplotlib = True
 system_state['has_matplotlib'] = has_matplotlib
 
+#has_skimage
+module_info = importlib.util.find_spec("skimage")
+if module_info is None:
+    has_skimage = False
+else:
+    has_skimage = True
+system_state['has_skimage']= has_skimage
+
 
 # to disable prints from 3rd part libraries and tests
 def disable_print():

recipe/cil_demos_env.yml

@@ -0,0 +1,18 @@
+name: cil_demos
+channels:
+  - conda-forge
+  - https://software.repos.intel.com/python/conda
+dependencies:
+  - python=3.12
+  - ccpi::cil=24.3.0
+  - numpy=1.26
+  - astra-toolbox=2.1=cuda*
+  - ccpi::tigre=2.6
+  - ccpi::ccpi-regulariser=24.0.1
+  - ccpi::tomophantom=2.0.0
+  - ipykernel 
+  - ipywidgets 
+  - scikit-image
+  - matplotlib-base >=3.3.0
+  - dxchange
+  - olefile >=0.46

recipe/cil_env.yml

@@ -0,0 +1,8 @@
+name: cil
+channels:
+  - conda-forge
+  - https://software.repos.intel.com/python/conda
+dependencies:
+  - python=3.12
+  - ccpi::cil=24.3.0
+  - numpy=1.26

recipe/cil_test_env.yml

@@ -0,0 +1,17 @@
+name: cil_test
+channels:
+  - conda-forge
+  - https://software.repos.intel.com/python/conda
+dependencies:
+  - python=3.12
+  - ccpi::cil=24.3.0
+  - numpy=1.26
+  - astra-toolbox=2.1=cuda*
+  - ccpi::tigre=2.6
+  - ccpi::ccpi-regulariser=24.0.1
+  - ccpi::tomophantom=2.0.0
+  - scikit-image
+  - matplotlib-base >=3.3.0
+  - dxchange
+  - olefile >=0.46
+  - cvxpy