remove heapq

skimage/transform/_hough_transform.pyx

@@ -3,7 +3,6 @@
 #cython: nonecheck=False
 #cython: wraparound=False
 import numpy as np
-import heapq
 
 cimport numpy as cnp
 cimport cython
@@ -132,12 +131,8 @@ def hough_ellipse(cnp.ndarray img, int threshold=4, double accuracy=1,
     >>> img = np.zeros((25, 25), dtype=int)
     >>> rr, cc = draw.ellipse_perimeter(10, 10, 6, 8)
     >>> img[cc, rr] = 1
-    >>> result = hough_ellipse(img, threshold=4)
-    >>> # extract the highest accumulator
-    >>> heapq.nlargest(1, result)
-    [(10, 10.0, 10.0, 6.0, 8.0, 0.0)]
-    >>> # To sort them all
-    >>> results = [heappop(results) for i in range(len(results))]
+    >>> result = hough_ellipse(img, threshold=8)
+    [(10, 10.0, 8.0, 6.0, 0.0, 10.0)]
 
     Notes
     -----
@@ -221,8 +216,7 @@ def hough_ellipse(cnp.ndarray img, int threshold=4, double accuracy=1,
                             if angle > np.pi:
                                 angle = angle - np.pi / 2.
                                 a, b = b, a
-                        heapq.heappush(results,
-                                       (hist_max,  # Accumulator
+                        results.append((hist_max, # Accumulator
                                         y0,
                                         x0,
                                         a,