UJ-Obiektowe-TestyMutacyjne

README.md

Mutation testing

Run

docker-compose up

docker-compose.yml

version: "2"
services:
  test:
    build: .
    volumes: 
      - .:/src
    working_dir: /src
    command: mut.py --target matMul.py --unit-test matMul_test.py -m
    

Dockerfile

FROM python:3.7-slim

RUN pip3 install numpy
RUN pip3 install mutpy

gistfile1.txt

version: "2"
services:
  test:
    build: .
    volumes: 
      - .:/src
    working_dir: /src
    command: mut.py --target matMul.py --unit-test matMul_test.py -m
    
FROM python:3.7-slim

RUN pip3 install numpy
RUN pip3 install mutpy

class MatrixDimmensionsMismatch(Exception):
    pass

def matMul(mat1, mat2):
    countRows1 = len(mat1)
    countRows2 = len(mat2)
    countCols1 = len(mat1[0])
    countCols2 = len(mat2[0])
    if countCols1 != countRows2:
        raise MatrixDimmensionsMismatch
    result = [[0 for _ in range(0, min(countCols1, countCols2))] for _ in range(0,min(countRows1, countRows2))]
    for row1 in range(0,countRows1):
        for col1 in range(0, countCols1):
            for col2 in range(0, countCols2) :
                result[row1][col2] += mat1[row1][col1] * mat2[col1][col2]
    return result

mat1 = [
    [2,1,3],
    [-1,4,0]
]

mat2 = [
    [1,3,2],
    [-2,0,1],
    [5,-3,2]
]

# matMul(mat1, mat2)


# matMul(
#     [[1]],
#     [[1]]
# )

import numpy as np
import unittest
from matMul import matMul, MatrixDimmensionsMismatch

mat1 = [
    [2,1,3],
    [-1,4,0]
]

mat2 = [
    [1,3,2],
    [-2,0,1],
    [5,-3,2]
]

npMat1 = np.array(mat1)
npMat2 = np.array(mat2)

corrMat1x2 = (npMat1 @ npMat2).tolist()

class TestStringMethods(unittest.TestCase):

    def test_correct_mul(self):
        self.assertListEqual(matMul(mat1, mat2), corrMat1x2)

    def test_dimension_mismatch(self):
        with self.assertRaises(MatrixDimmensionsMismatch):
            matMul(
                [[1,2]],
                [[1]]
            )

if __name__ == '__main__':
    unittest.main()
# Mutation testing

## Run

```bash
docker-compose up
```

matMul.py

class MatrixDimmensionsMismatch(Exception):
    pass

def matMul(mat1, mat2):
    countRows1 = len(mat1)
    countRows2 = len(mat2)
    countCols1 = len(mat1[0])
    countCols2 = len(mat2[0])
    if countCols1 != countRows2:
        raise MatrixDimmensionsMismatch
    result = [[0 for _ in range(0, min(countCols1, countCols2))] for _ in range(0,min(countRows1, countRows2))]
    for row1 in range(0,countRows1):
        for col1 in range(0, countCols1):
            for col2 in range(0, countCols2) :
                result[row1][col2] += mat1[row1][col1] * mat2[col1][col2]
    return result

mat1 = [
    [2,1,3],
    [-1,4,0]
]

mat2 = [
    [1,3,2],
    [-2,0,1],
    [5,-3,2]
]

# matMul(mat1, mat2)


# matMul(
#     [[1]],
#     [[1]]
# )

matMul_test.py

import numpy as np
import unittest
from matMul import matMul, MatrixDimmensionsMismatch

mat1 = [
    [2,1,3],
    [-1,4,0]
]

mat2 = [
    [1,3,2],
    [-2,0,1],
    [5,-3,2]
]

npMat1 = np.array(mat1)
npMat2 = np.array(mat2)

corrMat1x2 = (npMat1 @ npMat2).tolist()

class TestStringMethods(unittest.TestCase):

    def test_correct_mul(self):
        self.assertListEqual(matMul(mat1, mat2), corrMat1x2)

    def test_dimension_mismatch(self):
        with self.assertRaises(MatrixDimmensionsMismatch):
            matMul(
                [[1,2]],
                [[1]]
            )

if __name__ == '__main__':
    unittest.main()