Bump minimum SymPy version and add Python 3.9 to CI

.gitlab-ci.yml

@@ -36,6 +36,31 @@ tests-and-coverage:
       cobertura: coverage.xml
       junit: report.xml
 
+# pipeline with latest python version
+latest-python:
+  stage: test
+  except:
+    variables:
+      - $ENABLE_NIGHTLY_BUILDS
+  image: i10git.cs.fau.de:5005/pycodegen/pycodegen/latest_python
+  before_script:
+    - pip install git+https://gitlab-ci-token:${CI_JOB_TOKEN}@i10git.cs.fau.de/pycodegen/pystencils.git@master#egg=pystencils
+  script:
+    - env
+    - pip list
+    - export NUM_CORES=$(nproc --all)
+    - mkdir -p ~/.config/matplotlib
+    - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
+    - mkdir public
+    - py.test -v -n $NUM_CORES -m "not longrun" --junitxml=report.xml
+  tags:
+    - docker
+    - AVX
+  artifacts:
+    when: always
+    reports:
+      junit: report.xml
+
 # Nightly test  - runs "long run" jobs only
 test-longrun:
   stage: test
@@ -85,15 +110,18 @@ ubuntu:
     variables:
       - $ENABLE_NIGHTLY_BUILDS
   image: i10git.cs.fau.de:5005/pycodegen/pycodegen/ubuntu
-  script:
+  before_script:
+    - apt-get -y remove python3-sympy
+    - ln -s /usr/include/locale.h /usr/include/xlocale.h
     - pip3 install `grep -Eo 'sympy[>=]+[0-9\.]+' setup.py | sed 's/>/=/g'`
-    - pip3 install `grep -Eo 'numpy[>=]+[0-9\.]+' setup.py | sed 's/>/=/g'`
+    - pip3 install git+https://gitlab-ci-token:${CI_JOB_TOKEN}@i10git.cs.fau.de/pycodegen/pystencils.git@master#egg=pystencils
+  script:
+    - export NUM_CORES=$(nproc --all)
     - mkdir -p ~/.config/matplotlib
     - echo "backend:template" > ~/.config/matplotlib/matplotlibrc
-    - pip3 install git+https://gitlab-ci-token:${CI_JOB_TOKEN}@i10git.cs.fau.de/pycodegen/pystencils.git@master#egg=pystencils
     - env
     - pip3 list
-    - pytest-3 -v -m "not longrun" --junitxml=report.xml
+    - pytest-3 -v -n $NUM_CORES -m "not longrun" --junitxml=report.xml
   tags:
     - docker
     - cuda11

lbmpy_tests/test_code_hashequivalence.py

 from hashlib import sha256
 
 from lbmpy.creationfunctions import create_lb_ast
-from pystencils.llvm.llvmjit import generate_llvm
-
 
 def test_hash_equivalence_llvm():
+
+    import pytest
+    pytest.importorskip("llvmlite")
+    from pystencils.llvm.llvmjit import generate_llvm
+
+
     ref_value = "6db6ed9e2cbd05edae8fcaeb8168e3178dd578c2681133f3ae9228b23d2be432"
     ast = create_lb_ast(stencil='D3Q19', method='srt', optimization={'target': 'llvm'})
     code = generate_llvm(ast)

lbmpy_tests/test_cumulant_methods.py

+import pytest
+
 from lbmpy.methods import create_srt
 from lbmpy.stencils import get_stencil
 from lbmpy.methods.creationfunctions import create_with_default_polynomial_cumulants
 
-
-def test_weights():
-    for stencil_name in ('D2Q9', 'D3Q19', 'D3Q27'):
+@pytest.mark.parametrize('stencil_name', ['D2Q9', 'D3Q19', 'D3Q27'])
+def test_weights(stencil_name):
     stencil = get_stencil(stencil_name)
     cumulant_method = create_with_default_polynomial_cumulants(stencil, [1])
     moment_method = create_srt(stencil, 1, cumulant=False, compressible=True, maxwellian_moments=True)

lbmpy_tests/test_gpu_block_size_limiting.py

 from lbmpy.creationfunctions import create_lb_ast
+import pytest
 
 
 def test_gpu_block_size_limiting():
+    pytest.importorskip("pycuda")
     too_large = 2048*2048
     opt = {'target': 'gpu', 'gpu_indexing_params': {'block_size': (too_large, too_large, too_large)}}
     ast = create_lb_ast(stencil='D3Q19', cumulant=True, relaxation_rate=1.8, optimization=opt,

setup.py

@@ -70,7 +70,7 @@ setup(name='lbmpy',
       author_email='martin.bauer@fau.de',
       url='https://i10git.cs.fau.de/pycodegen/lbmpy/',
       packages=['lbmpy'] + ['lbmpy.' + s for s in find_packages('lbmpy')],
-      install_requires=['pystencils', 'sympy>=1.1', 'numpy'],
+      install_requires=['pystencils', 'sympy>=1.2', 'numpy>=1.11.0'],
       classifiers=[
           'Development Status :: 4 - Beta',
           'Framework :: Jupyter',