def test_factorial():
n = np.random.randint(0, 170)
assert (roundScaler(NumCpp.factorial_Scaler(n), NUM_DECIMALS_ROUND) ==
roundScaler(sp.factorial(n).item(), NUM_DECIMALS_ROUND))
shapeInput = np.random.randint(20, 100, [2, ])
shape = NumCpp.Shape(shapeInput[0].item(), shapeInput[1].item())
cArray = NumCpp.NdArrayUInt32(shape)
data = np.random.randint(0, 170, [shape.rows, shape.cols], dtype=np.uint32)
cArray.setArray(data)
assert np.array_equal(roundArray(NumCpp.factorial_Array(cArray), NUM_DECIMALS_ROUND),
roundArray(sp.factorial(data), NUM_DECIMALS_ROUND))
def test_prime():
# There is no scipy equivalent to this function
value = np.random.randint(10000)
assert NumCpp.prime_Scaler(value) is not None
shapeInput = np.random.randint(20, 100, [
2,
])
shape = NumCpp.Shape(shapeInput[0].item(), shapeInput[1].item())
cArray = NumCpp.NdArrayUInt32(shape)
data = np.random.randint(0, 10000, [shape.rows, shape.cols])
cArray.setArray(data)
assert NumCpp.prime_Array(cArray) is not None
