Merge pull request #21 from titanscout2022/CI-tools

CI tools

.github/workflows/ut-analysis.yml

@@ -0,0 +1,38 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Analysis Unit Tests
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.7, 3.8]
+
+    env:
+      working-directory: ./analysis-master/
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+      working-directory: ${{ env.working-directory }}
+    - name: Test with pytest
+      run: |
+        pytest
+      working-directory: ${{ env.working-directory }}

.github/workflows/ut-superscript.yml

@@ -0,0 +1,38 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Superscript Unit Tests
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.7, 3.8]
+
+    env:
+      working-directory: ./data-analysis/
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+      working-directory: ${{ env.working-directory }}
+    - name: Test with pytest
+      run: |
+        pytest
+      working-directory: ${{ env.working-directory }}

.gitignore

@@ -26,3 +26,5 @@ analysis-master/analysis.egg-info/
 analysis-master/build/
 analysis-master/metrics/
 data-analysis/config-pop.json
+analysis-master/__pycache__/
+analysis-master/.pytest_cache/

analysis-master/test_analysis.py

@@ -0,0 +1,17 @@
+from analysis import analysis as an
+
+def test_():
+	test_data_linear = [1, 3, 6, 7, 9]
+	y_data_ccu = [1, 3, 7, 14, 21]
+	y_data_ccd = [1, 5, 7, 8.5, 8.66]
+	assert an.basic_stats(test_data_linear) == {"mean": 5.2, "median": 6.0, "standard-deviation": 2.85657137141714, "variance": 8.16, "minimum": 1.0, "maximum": 9.0}
+	assert an.z_score(3.2, 6, 1.5) == -1.8666666666666665
+	assert an.z_normalize(test_data_linear).tolist() == [5.2, 6.0, 2.85657137141714, 8.16, 1.0, 9.0]
+	assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["lin"])) == True
+	assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["log"])) == True
+	assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["exp"])) == True
+	assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["ply"])) == True
+	assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["sig"])) == True
+	assert an.Metric().elo(1500, 1500, [1, 0], 400, 24) == 1512.0
+	assert an.Metric().glicko2(1500, 250, 0.06, [1500, 1400], [250, 240], [1, 0]) == (1478.864307445517, 195.99122679202452, 0.05999602937563585)
+	assert an.Metric().trueskill([[(25, 8.33), (24, 8.25), (32, 7.5)], [(25, 8.33), (25, 8.33), (21, 6.5)]], [1, 0]) == [(an.metrics.trueskill.Rating(mu=21.346, sigma=7.875), an.metrics.trueskill.Rating(mu=20.415, sigma=7.808), an.metrics.trueskill.Rating(mu=29.037, sigma=7.170)), (an.metrics.trueskill.Rating(mu=28.654, sigma=7.875), an.metrics.trueskill.Rating(mu=28.654, sigma=7.875), an.metrics.trueskill.Rating(mu=23.225, sigma=6.287))]

data-analysis/test_superscript.py

@@ -0,0 +1,2 @@
+def test_():
+	assert 1 == 1