added automatic testing with dummy test

.github/workflows/test.yml

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+# This workflows will upload a Python Package using Twine when a release is created
+# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
+
+# adapted from https://raw.githubusercontent.com/clEsperanto/pyclesperanto_prototype/master/.github/workflows/test_and_deploy.yml
+# see /license_thirdpary/license_pyclesperanto_prototype
+name: test
+
+on: [push, pull_request]
+
+jobs:
+  test:
+    name: ${{ matrix.platform }} ( ${{ matrix.python-version }})
+    runs-on: ${{ matrix.platform }}
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: [3.7, 3.8, 3.9]
+        platform: [ubuntu-latest] #, macos-latest]  # windows-latest broken for now
+    steps:
+      - uses: actions/checkout@v2
+        with:
+          submodules: recursive
+      - name: Set up conda ${{ matrix.python-version }}
+        uses: conda-incubator/setup-miniconda@v2.0.0
+        with:
+          auto-update-conda: true
+          activate-environment: test
+          python-version: ${{ matrix.python-version }}
+          channels: conda-forge
+      - name: Conda info
+        shell: bash -l {0}
+        run: conda info
+      - name: Install pocl
+        if: runner.os == 'Linux'
+        shell: bash -l {0}
+        run: conda install -y pocl
+      - name: Install dependencies
+        shell: bash -l {0}
+        run: |
+          python --version
+          conda install -y pyopencl
+          python -m pip install --upgrade pip
+          pip install setuptools wheel pytest pytest-cov pytest-benchmark dask
+          pip install -e .
+      - name: Test
+        shell: bash -l {0}
+        run: pytest -v --cov=./ --cov-report=xml
+      - name: Coverage
+        uses: codecov/codecov-action@v1

license_thirdparty/license_pyclesperanto_prototype

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+Copyright 2020 Robert Haase, Pradeep Rajasekhar, Juan Nunez-Iglesias, Talley Lambert, Martin Weigert,
+Max Planck Institute for Molecular Cell Biology and Genetics Dresden, Monash University, Harvard Medical School
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice,
+this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+this list of conditions and the following disclaimer in the documentation
+and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+may be used to endorse or promote products derived from this software without
+specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.

tests/test_dummy.py

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+import numpy as np
+def test_sum():
+    a = np.asarray([1, 2])
+    b = np.asarray([2, 3])
+
+    reference = np.asarray([3,5])
+
+    c = a + b
+
+    assert(np.array_equal(c, reference))
+