Fix numba failure in systems where numpy asytpe(int) is int64 #25
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On systems where NumPy astype(int) uses int64, the following error occurs:
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Cannot unify array(int64, 2d, C) and array(int32, 2d, C) for 'swt_matrix.2', defined at ../venv/lib/python3.10/site-packages/swtloc/core.py (126)
```
File "../venv/lib/python3.10/site-packages/swtloc/core.py", line 126:
def swt_strokes(edged_image,
<source elided>
_ray_ix = ray_indices[:ray_pointer, 1]
for each_y, each_x in zip(_ray_iy, _ray_ix):
^
```
This is due to Numba trying to figure out the type of `swt_matrix` in `swt_strokes`, but it can be either case of the if (Numba doesn't check the actual value provided to `include_edges_in_swt` before it determines the types)
```
# ...
if include_edges_in_swt:
swt_matrix = edged_image.copy()
else:
swt_matrix = np.zeros(shape=edged_image.shape, dtype=np.int32)
# ...
```
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On systems where NumPy astype(int) uses int64, the following error occurs:
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend) Cannot unify array(int64, 2d, C) and array(int32, 2d, C) for 'swt_matrix.2', defined at ../venv/lib/python3.10/site-packages/swtloc/core.py (126)
This is due to Numba trying to figure out the type of
swt_matrixinswt_strokes, but it can be either case of the if (Numba doesn't check the actual value provided toinclude_edges_in_swtbefore it determines the types)