c8102caf93b5ef5faa7effbdd581d83c632c0b83,skvideo/motion/block.py,,_minCost,#Any#,14
Before Change
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]
def _checkBounded(xval, yval, w, h, mbSize):
if ((yval < 0) or
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: 6
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: AIRLab-POLIMI/mushroom
Commit Name: f2d2ed6e2628fe968af19a3000909cb9fcda5204
Time: 2017-09-14
Author: carlo.deramo@gmail.com
File Name: mushroom/algorithms/dqn.py
Class Name: WeightedDQN
Method Name: _next_q
Project Name: pymanopt/pymanopt
Commit Name: 05237d60ba34de18412e490865d25500040e0897
Time: 2015-12-03
Author: jamiehntownsend@gmail.com
File Name: pymanopt/manifolds/grassmann.py
Class Name: Grassmann
Method Name: retr