This script runs fine in Python mode, but function `f()`

fails to compile with Numba:

```
import numpy as np, numba as nb
@nb.njit(fastmath=True)
def f(mat, p):
r = np.matmul(mat, p)
return r[:-1]/r[-1]
mat = np.array([[ 2.44 , -0.01 , -74.526],
[ 0.578, 0.873, -86.261],
[ 0.003, -0. , 1. ]])
q = [100, 200, 1]
print(f(mat, q))
```

producing this error:

```
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Use of unsupported NumPy function 'numpy.matmul' or unsupported use of the function.
File "so-20.py", line 5:
def f(mat, p):
r = np.matmul(mat, p)
^
```

Is there a workaround for this? I don’t have to use Numpy for matrix multiplication if there is another library, which works with Numba.