From 2c90aa70e5ece6ec5d117e3c76ad6040696c26e7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20Sch=C3=B6nberger?= Date: Tue, 22 Jan 2013 22:36:58 +0100 Subject: [PATCH] Use np.intp rather than ssize_t for ndarrays --- skimage/draw/_draw.pyx | 2 +- skimage/morphology/_convex_hull.pyx | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/skimage/draw/_draw.pyx b/skimage/draw/_draw.pyx index 28103304..50342c91 100644 --- a/skimage/draw/_draw.pyx +++ b/skimage/draw/_draw.pyx @@ -29,7 +29,7 @@ def line(ssize_t y, ssize_t x, ssize_t y2, ssize_t x2): """ - cdef np.ndarray[ssize_t, ndim=1, mode="c"] rr, cc + cdef np.ndarray[np.intp_t, ndim=1, mode="c"] rr, cc cdef char steep = 0 cdef ssize_t dx = abs(x2 - x) diff --git a/skimage/morphology/_convex_hull.pyx b/skimage/morphology/_convex_hull.pyx index 6c9d1083..6746fa9f 100644 --- a/skimage/morphology/_convex_hull.pyx +++ b/skimage/morphology/_convex_hull.pyx @@ -26,7 +26,7 @@ def possible_hull(np.ndarray[dtype=np.uint8_t, ndim=2, mode="c"] img): # cols storage slots for top boundary pixels # rows storage slots for right boundary pixels # cols storage slots for bottom boundary pixels - cdef np.ndarray[dtype=ssize_t, ndim=2] nonzero = \ + cdef np.ndarray[dtype=np.intp_t, ndim=2] nonzero = \ np.ones((2 * (rows + cols), 2), dtype=np.int) nonzero *= -1