def test_scalar1_EvenMatrix():
"""
Testing scalar multiplication with float and EvenMatrix. 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 = EvenMatrix(44, 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_scalar3():
"""
Testing scalar multiplication with multiple scalar factors
- 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
scalar1 = 3 # scalar factor1
scalar2 = 3.2 # scalar factor2
matrix1 = EvenMatrix(4, defaultValue)
matrix1.setValue(specialCell[0], specialCell[1], specialValue)
result = Multiplication().operate(scalar2, Multiplication().operate(scalar1, 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], scalar1 * scalar2 * specialValue, TOLERANCE), (
"row {0} column {1}")
else:
assert isCorrect(result.data[row][col], scalar1 * scalar2 * defaultValue, TOLERANCE), (
"row {0} column {1}")