c8102caf93b5ef5faa7effbdd581d83c632c0b83,skvideo/motion/block.py,,_minCost,#Any#,14
Before Change
h, w = costs.shape
if costs[h/2, w/2] == 0:
return np.int((h-1)/2), np.int((w-1)/2), 0
idx = np.unravel_index(np.argmin(costs), costs.shape)
return np.int(idx[0]), np.int(idx[1]), costs[idx]
After Change
mi = 65537
for i in xrange(h):
for j in xrange(w):
if costs[i, j] < mi:
mi = costs[i, j]
dx = j
dy = i
return dx, dy, mi
//def _minCost(costs):
// h, w = costs.shape
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: scikit-video/scikit-video
Commit Name: c8102caf93b5ef5faa7effbdd581d83c632c0b83
Time: 2016-12-05
Author: tgoodall@utexas.edu
File Name: skvideo/motion/block.py
Class Name:
Method Name: _minCost
Project Name: automl/auto-sklearn
Commit Name: 225f23c5adb3e11d027de9e3aa514c7cab8b320d
Time: 2015-06-13
Author: feurerm@informatik.uni-freiburg.de
File Name: autosklearn/data/split_data.py
Class Name:
Method Name: split_data
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: 23d00b78af8b6fc554a033c30dc4b0f8ffaf4804
Time: 2018-10-26
Author: Maria-Irina.Nicolae@ibm.com
File Name: art/attacks/deepfool.py
Class Name: DeepFool
Method Name: generate
Project Name: scikit-video/scikit-video
Commit Name: c8102caf93b5ef5faa7effbdd581d83c632c0b83
Time: 2016-12-05
Author: tgoodall@utexas.edu
File Name: skvideo/motion/block.py
Class Name:
Method Name: _minCost