fix some tests

Problems related to unhashable lists, hard-coded vector instruction sets, and undeclared dependencies

lbmpy/methods/centeredcumulant/centeredcumulantmethod.py

@@ -368,8 +368,8 @@ class CenteredCumulantBasedLbMethod(AbstractLbMethod):
         lower_order_equilibrium = [info.equilibrium_value for info in lower_order_relaxation_infos]
 
         lower_order_moment_collision_eqs = relax_lower_order_central_moments(
-            lower_order_moments, lower_order_moment_symbols,
-            lower_order_relaxation_rates, lower_order_equilibrium)
+            lower_order_moments, tuple(lower_order_moment_symbols),
+            tuple(lower_order_relaxation_rates), tuple(lower_order_equilibrium))
 
         #   5) Add relaxation rules for higher-order, polynomial cumulants
         poly_relaxation_infos = [cumulant_to_relaxation_info_dict[c] for c in higher_order_polynomials]
@@ -383,8 +383,8 @@ class CenteredCumulantBasedLbMethod(AbstractLbMethod):
             galilean_correction_terms = None
 
         cumulant_collision_eqs = relax_polynomial_cumulants(
-            monomial_cumulants, higher_order_polynomials,
-            poly_relaxation_rates, poly_equilibrium,
+            tuple(monomial_cumulants), tuple(higher_order_polynomials),
+            tuple(poly_relaxation_rates), tuple(poly_equilibrium),
             pre_simplification,
             galilean_correction_terms=galilean_correction_terms)
 

lbmpy_tests/centeredcumulant/test_equilibrium.py

@@ -50,7 +50,7 @@ def test_equilibrium_pdfs(stencil_name, cm_transform):
     if ref_equilibrium is None:
         raw_moments = list(extract_monomials(c_lb_method.cumulants, dim=dim))
         ref_equilibrium = generate_equilibrium_by_matching_moments(
-            stencil, raw_moments, rho=rho, u=u, c_s_sq=sp.Rational(1, 3), order=2*dim)
+            stencil, tuple(raw_moments), rho=rho, u=u, c_s_sq=sp.Rational(1, 3), order=2*dim)
         reference_equilibria[stencil_name] = ref_equilibrium
 
     for i in range(q):

lbmpy_tests/full_scenarios/schaefer_turek/scenario_schaefer_turek.py

@@ -8,7 +8,9 @@ a cylinder. In Flow simulation with high-performance computers II (pp. 547-566).
 import warnings
 
 import numpy as np
+import pytest
 
+from pystencils.backends.simd_instruction_sets import get_supported_instruction_sets
 from lbmpy.boundaries.boundaryconditions import NoSlip
 from lbmpy.geometry import get_pipe_velocity_field
 from lbmpy.relaxationrates import relaxation_rate_from_lattice_viscosity
@@ -146,8 +148,9 @@ def long_run(steady=True, **kwargs):
     plt.show()
 
 
+@pytest.mark.skipif(not get_supported_instruction_sets(), reason='cannot detect CPU instruction set')
 def test_schaefer_turek():
-    opt = {'vectorization': {'instruction_set': 'avx', 'assume_aligned': True}, 'openmp': 2}
+    opt = {'vectorization': {'instruction_set': get_supported_instruction_sets()[-1], 'assume_aligned': True}, 'openmp': 2}
     sc_2d_1 = schaefer_turek_2d(30, max_lattice_velocity=0.08, optimization=opt)
     sc_2d_1.run(30000)
     result = evaluate_static_quantities(sc_2d_1)

lbmpy_tests/test_geometry_setup_serial.py

 import os
 
 import numpy as np
+import pytest
 
 from lbmpy.boundaries import NoSlip
 from lbmpy.geometry import add_black_and_white_image, add_pipe_walls
@@ -49,6 +50,7 @@ def get_test_image_path():
 
 
 def test_image():
+    pytest.importorskip('scipy.ndimage')
     sc = LatticeBoltzmannStep(domain_size=(50, 40), method='srt', relaxation_rate=1.9,
                               optimization={})
     add_black_and_white_image(sc.boundary_handling, get_test_image_path(), keep_aspect_ratio=True)

lbmpy_tests/test_postprocessing.py

 import numpy as np
+import pytest
 
 from lbmpy.postprocessing import scalar_field_interpolator, vector_field_interpolator
 
 
 def test_interpolation():
+    pytest.importorskip('scipy.ndimage')
+
     scalar_arr = np.arange(0, 3*3).reshape(3, 3)
     scalar_ip = scalar_field_interpolator(scalar_arr)
     np.testing.assert_equal(scalar_ip([[1, 1.5], [0.5, 1]]), [2.5, 0.5])

lbmpy_tests/test_vectorization.py

 import numpy as np
 import pytest
 
+from pystencils.backends.simd_instruction_sets import get_supported_instruction_sets
 from lbmpy.scenarios import create_lid_driven_cavity
 
 
+@pytest.mark.skipif(not get_supported_instruction_sets(), reason='cannot detect CPU instruction set')
 def test_lbm_vectorization_short():
     print("Computing reference solutions")
     size1 = (64, 32)
@@ -13,7 +15,7 @@ def test_lbm_vectorization_short():
     ldc1_ref.run(10)
 
     ldc1 = create_lid_driven_cavity(size1, relaxation_rate=relaxation_rate,
-                                    optimization={'vectorization': {'instruction_set': 'avx',
+                                    optimization={'vectorization': {'instruction_set': get_supported_instruction_sets()[-1],
                                                                     'assume_aligned': True,
                                                                     'nontemporal': True,
                                                                     'assume_inner_stride_one': True,
@@ -23,7 +25,7 @@ def test_lbm_vectorization_short():
     ldc1.run(10)
 
 
-@pytest.mark.parametrize('instruction_set', ['sse', 'avx'])
+@pytest.mark.parametrize('instruction_set', get_supported_instruction_sets())
 @pytest.mark.parametrize('aligned_and_padding', [[False, False], [True, False], [True, True]])
 @pytest.mark.parametrize('nontemporal', [False, True])
 @pytest.mark.parametrize('double_precision', [False, True])