upd

.github/workflows/run_tests.yml

@@ -0,0 +1,27 @@
+name: Run Tests
+
+on: [push, pull_request]
+
+jobs:
+    test:
+        runs-on: ${{ matrix.os }}
+        strategy:
+            matrix:
+                os: [ubuntu-latest, windows-latest]
+                arch: [x64, arm64]
+        steps:
+        - name: Checkout code
+          uses: actions/checkout@v2
+
+        - name: Set up Python
+          uses: actions/setup-python@v2
+          with:
+              python-version: '3.x'
+
+        - name: Install dependencies
+          run: |
+            python -m pip install --upgrade pip
+            pip install -r requirements.txt
+
+        - name: Run tests
+          run: pytest tests

README.md

@@ -1 +1,3 @@
-Here you can find a math library.
+Here you can find a math library.
+
+![Test Status](https://github.com/ep2lab/github_examples/actions/workflows/run_tests.yml/badge.svg)

tests/test_math.py

@@ -0,0 +1,18 @@
+from vectormath import scalar_product, vector_product, matrix_product
+
+def test_scalar_product():
+    assert scalar_product([1, 2, 3], [4, 5, 6]) == 32
+    assert scalar_product([1, 2], [5, 6])       == 17
+
+def test_vector_product():
+    assert vector_product([1, 2, 3], [4, 5, 6]) == [-3, 6, -3]
+    assert vector_product([0, 0, 1], [1, 0, 0]) == [0, 1, 0]
+    assert vector_product([1, 0, 0], [0, 1, 0]) == [0, 0, 1]
+    assert vector_product([1, 1, 1], [1, 1, 1]) == [0, 0, 0]
+
+def test_matrix_product():
+    assert matrix_product([[1, 2], [3, 4]], [[5, 6], [7, 8]]) == [[19, 22], [43, 50]]
+    assert matrix_product([[2, 0], [0, 2]], [[1, 2], [3, 4]]) == [[2, 4], [6, 8]]
+    assert matrix_product([[1, 2, 3], [4, 5, 6]], [[7, 8], [9, 10], [11, 12]]) == [[58, 64], [139, 154]]
+    assert matrix_product([[1]], [[2]]) == [[2]]
+    assert matrix_product([[1, 2, 3]], [[4], [5], [6]]) == [[32]]

vectormath/__init__.py

@@ -0,0 +1 @@
+from .math_library import scalar_product, vector_product, matrix_product

vectormath/math_library.py

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+def scalar_product(vector1, vector2):
+    if len(vector1) != len(vector2):
+        raise ValueError("Vectors must be of the same length")
+    return sum(x * y for x, y in zip(vector1, vector2))
+
+def vector_product(vector1, vector2):
+    if len(vector1) != 3 or len(vector2) != 3:
+        raise ValueError("Both vectors must be of length 3")
+    return [
+        vector1[1] * vector2[2] - vector1[2] * vector2[1],
+        vector1[2] * vector2[0] - vector1[0] * vector2[2],
+        vector1[0] * vector2[1] - vector1[1] * vector2[0]
+    ]
+
+def matrix_product(matrix1, matrix2):
+    if len(matrix1[0]) != len(matrix2):
+        raise ValueError("Number of columns in the first matrix must be equal to the number of rows in the second matrix")
+
+    result = [[0 for _ in range(len(matrix2[0]))] for _ in range(len(matrix1))]
+
+    for i in range(len(matrix1)):
+        for j in range(len(matrix2[0])):
+            for k in range(len(matrix2)):
+                result[i][j] += matrix1[i][k] * matrix2[k][j]
+
+    return result