def test_scalar1_Matrix():
"""
Testing scalar multiplication with float and Matrix. All values of matrix equal except one specialValue to provide
some heterogeneity
- Dimension of result shall be same
- resulting matrix get multiplied with scalar value
"""
defaultValue = 1.1 # default cell value
specialValue = 3.3 # special cell value
specialCell = [12, 13] # special cell
scalar = 0.7 # scalar factor
matrix1 = Matrix(44, 45, defaultValue)
matrix1.setValue(specialCell[0], specialCell[1], specialValue)
# TODO {Low} research for alternatives for Multiplication-Constructor. maybe sth like a static class?
result = Multiplication().operate(scalar, matrix1)
assert result.getDimension() == matrix1.getDimension(), (
"resultDimension {0} unequal matrix1Dimension {1}".format(result.getDimension(), matrix1.getDimension()))
for row in range(result.rowCount):
for col in range(result.columnCount):
if row == specialCell[0] and col == specialCell[1]:
assert isCorrect(result.data[row][col], scalar * specialValue, TOLERANCE), (
"row {0} column {1}".format(row, col))
else:
assert isCorrect(result.data[row][col], scalar * defaultValue, TOLERANCE), (
"row {0} column {1}".format(row, col))
def test_scalar2_Matrix():
"""
Testing scalar multiplication with integer and Matrix. All values of matrix equal except one specialValue to provide
some heterogeneity
- Dimension of result shall be same
- resulting matrix get multiplied with scalar value
"""
defaultValue = 7 # default cell value
specialValue = 10 # special cell value
specialCell = [2, 3] # special cell
scalar = 3 # scalar factor
matrix1 = Matrix(4, 45, defaultValue)
matrix1.setValue(specialCell[0], specialCell[1], specialValue)
result = Multiplication().operate(scalar, matrix1)
assert result.getDimension() == matrix1.getDimension(), (
"resultDimension {0} unequal matrix1Dimension {1}".format(result.getDimension(), matrix1.getDimension()))
for row in range(result.rowCount):
for col in range(result.columnCount):
if row == specialCell[0] and col == specialCell[1]:
assert isCorrect(result.data[row][col], scalar * specialValue, TOLERANCE), (
"row {0} column {1}".format(row, col))
else:
assert isCorrect(result.data[row][col], scalar * defaultValue, TOLERANCE), (
"row {0} column {1}".format(row, col))
def test_dimension2():
matrix = Matrix(103, 4)
assert (matrix.getDimension() == [103, 4])
def test_dimension1():
matrix = Matrix(40, 40, -100)
assert (matrix.getDimension() == [40, 40])