I’m using the smallest_circle library in Python, and I’d like to compile it *ahead of time* (not jit) with Numba for speeding up the process as I call if often with different datasets.

The full code is available here, and below an excerpt:

```
@cc.export('is_in_circle', 'b1(f8[:], f8[:])')
def is_in_circle(c, p):
if (c is not None) and (math.hypot(p[0] - c[0], p[1] - c[1]) <= c[2] * _MULTIPLICATIVE_EPSILON):
res = True
else:
res = False
return res
@cc.export('make_circle', '(f8[:,:],)')
def make_circle(points):
# points : numpy.ndarray (3,2) float64
# Convert to float and randomize order
shuffled = points[np.random.permutation(len(points))]
# Progressively add points to circle or recompute circle
first_pass = True
c = (0,0,0)
for (i, p) in enumerate(shuffled):
if first_pass is True or not is_in_circle(c, p):
first_pass = False
c = _make_circle_one_point(shuffled[: i + 1], p)
return c
# other functions....
if __name__ == '__main__':
cc.compile()
```

When I try to compile the functions ahead of time, I get the following error:

```
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Untyped global name 'is_in_circle': Cannot determine Numba type of <class 'function'>
File "smallest_circle.py", line 57:
def make_circle(points):
<source elided>
for (i, p) in enumerate(shuffled):
if first_pass is True or not is_in_circle(c, p):
^
```

It’s quite strange to me, as I explicitly *specified* the return type of the function `is_in_circle`

. I also moved the function below the code, in case it wasn’t compiled before but didn’t change anything.

Using the whole library with the decorator `@njit`

works like a charm.

What am I missing?

Thanks