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remove heapq

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François Boulogne
2013-10-12 14:09:52 +02:00
parent 313bf0ea9a
commit df2ee4d636
3 changed files with 23 additions and 23 deletions
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skimage/transform/tests/test_hough_transform.py
+17 -10
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@@ -1,5 +1,4 @@
import numpy as np
import heapq
from numpy.testing import (assert_almost_equal,
assert_equal,
)
@@ -158,7 +157,7 @@ def test_hough_ellipse_zero_angle():
rr, cc = ellipse_perimeter(y0, x0, ry, rx)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=9)
best = heapq.nlargest(1, result)[0]
best = result[-1]
assert_equal(best[1], y0)
assert_equal(best[2], x0)
assert_almost_equal(best[3], ry, decimal=1)
@@ -182,7 +181,8 @@ def test_hough_ellipse_non_zero_posangle1():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
assert_almost_equal(best[1] / 100., y0 / 100., decimal=1)
assert_almost_equal(best[2] / 100., x0 / 100., decimal=1)
assert_almost_equal(best[3] / 10., ry / 10., decimal=1)
@@ -206,7 +206,8 @@ def test_hough_ellipse_non_zero_posangle2():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
assert_almost_equal(best[1] / 100., y0 / 100., decimal=1)
assert_almost_equal(best[2] / 100., x0 / 100., decimal=1)
assert_almost_equal(best[3] / 10., ry / 10., decimal=1)
@@ -230,7 +231,8 @@ def test_hough_ellipse_non_zero_posangle3():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
# Check if I re-draw the ellipse, points are the same!
# ie check API compatibility between hough_ellipse and ellipse_perimeter
rr2, cc2 = ellipse_perimeter(y0, x0, int(best[3]), int(best[4]), orientation=best[5])
@@ -249,7 +251,8 @@ def test_hough_ellipse_non_zero_posangle4():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
# Check if I re-draw the ellipse, points are the same!
# ie check API compatibility between hough_ellipse and ellipse_perimeter
rr2, cc2 = ellipse_perimeter(y0, x0, int(best[3]), int(best[4]), orientation=best[5])
@@ -268,7 +271,8 @@ def test_hough_ellipse_non_zero_negangle1():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
# Check if I re-draw the ellipse, points are the same!
# ie check API compatibility between hough_ellipse and ellipse_perimeter
rr2, cc2 = ellipse_perimeter(y0, x0, int(best[3]), int(best[4]), orientation=best[5])
@@ -287,7 +291,8 @@ def test_hough_ellipse_non_zero_negangle2():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
# Check if I re-draw the ellipse, points are the same!
# ie check API compatibility between hough_ellipse and ellipse_perimeter
rr2, cc2 = ellipse_perimeter(y0, x0, int(best[3]), int(best[4]), orientation=best[5])
@@ -306,7 +311,8 @@ def test_hough_ellipse_non_zero_negangle3():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
# Check if I re-draw the ellipse, points are the same!
# ie check API compatibility between hough_ellipse and ellipse_perimeter
rr2, cc2 = ellipse_perimeter(y0, x0, int(best[3]), int(best[4]), orientation=best[5])
@@ -325,7 +331,8 @@ def test_hough_ellipse_non_zero_negangle4():
rr, cc = ellipse_perimeter(y0, x0, ry, rx, orientation=angle)
img[rr, cc] = 1
result = tf.hough_ellipse(img, threshold=15, accuracy=3)
best = heapq.nlargest(1, result)[0]
result.sort(key=lambda x:x[0])
best = result[-1]
# Check if I re-draw the ellipse, points are the same!
# ie check API compatibility between hough_ellipse and ellipse_perimeter
rr2, cc2 = ellipse_perimeter(y0, x0, int(best[3]), int(best[4]), orientation=best[5])