From a48462ebaeb2abcb9787e3050bf07724c31085e8 Mon Sep 17 00:00:00 2001
From: Frederik Hennig <frederik.hennig@fau.de>
Date: Wed, 7 Oct 2020 10:30:29 +0200
Subject: [PATCH] migrated index_list tests to pystencils

---
 .../test_boundary_indexlist_creation.py       | 74 -------------------
 1 file changed, 74 deletions(-)
 delete mode 100644 lbmpy_tests/test_boundary_indexlist_creation.py

diff --git a/lbmpy_tests/test_boundary_indexlist_creation.py b/lbmpy_tests/test_boundary_indexlist_creation.py
deleted file mode 100644
index 12d0d237..00000000
--- a/lbmpy_tests/test_boundary_indexlist_creation.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import numpy as np
-
-import pystencils.boundaries.createindexlist as cil
-from lbmpy.stencils import get_stencil
-
-import pytest
-
-@pytest.mark.parametrize('single_link', [False, True])
-@pytest.mark.skipif(not cil.cython_funcs_available, reason='Cython functions are not available')
-def test_equivalence_cython_python_version(single_link):
-    stencil_2d = get_stencil("D2Q9")
-    stencil_3d = get_stencil("D3Q19")
-
-    for dtype in [int, np.int16, np.uint32]:
-        fluid_mask = dtype(1)
-        mask = dtype(2)
-        flag_field_2d = np.ones([15, 16], dtype=dtype) * fluid_mask
-        flag_field_3d = np.ones([15, 16, 17], dtype=dtype) * fluid_mask
-
-        flag_field_2d[0, :] = mask
-        flag_field_2d[-1, :] = mask
-        flag_field_2d[7, 7] = mask
-
-        flag_field_3d[0, :, :] = mask
-        flag_field_3d[-1, :, :] = mask
-        flag_field_3d[7, 7, 7] = mask
-
-        result_python_2d = cil._create_boundary_neighbor_index_list_python(flag_field_2d, 1, mask, fluid_mask,
-                                                                           stencil_2d, single_link)
-
-        result_python_3d = cil._create_boundary_neighbor_index_list_python(flag_field_3d, 1, mask, fluid_mask,
-                                                                           stencil_3d, single_link)
-
-        result_cython_2d = cil.create_boundary_index_list(flag_field_2d, stencil_2d, mask,
-                                                          fluid_mask, 1, True, single_link)
-        result_cython_3d = cil.create_boundary_index_list(flag_field_3d, stencil_3d, mask,
-                                                          fluid_mask, 1, True, single_link)
-
-        np.testing.assert_equal(result_python_2d, result_cython_2d)
-        np.testing.assert_equal(result_python_3d, result_cython_3d)
-
-@pytest.mark.parametrize('single_link', [False, True])
-@pytest.mark.skipif(not cil.cython_funcs_available, reason='Cython functions are not available')
-def test_equivalence_cell_idx_list_cython_python_version(single_link):
-    stencil_2d = get_stencil("D2Q9")
-    stencil_3d = get_stencil("D3Q19")
-
-    for dtype in [int, np.int16, np.uint32]:
-        fluid_mask = dtype(1)
-        mask = dtype(2)
-        flag_field_2d = np.ones([15, 16], dtype=dtype) * fluid_mask
-        flag_field_3d = np.ones([15, 16, 17], dtype=dtype) * fluid_mask
-
-        flag_field_2d[0, :] = mask
-        flag_field_2d[-1, :] = mask
-        flag_field_2d[7, 7] = mask
-
-        flag_field_3d[0, :, :] = mask
-        flag_field_3d[-1, :, :] = mask
-        flag_field_3d[7, 7, 7] = mask
-
-        result_python_2d = cil._create_boundary_cell_index_list_python(flag_field_2d, mask, fluid_mask,
-                                                                       stencil_2d, single_link)
-
-        result_python_3d = cil._create_boundary_cell_index_list_python(flag_field_3d, mask, fluid_mask,
-                                                                       stencil_3d, single_link)
-
-        result_cython_2d = cil.create_boundary_index_list(flag_field_2d, stencil_2d, mask, fluid_mask, None,
-                                                          False, single_link)
-        result_cython_3d = cil.create_boundary_index_list(flag_field_3d, stencil_3d, mask, fluid_mask, None,
-                                                          False, single_link)
-
-        np.testing.assert_equal(result_python_2d, result_cython_2d)
-        np.testing.assert_equal(result_python_3d, result_cython_3d)
-- 
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