1d275bddd7349b765db88c76ec7dcfdf85de0f42,aletheialib/attacks.py,,difference,#Any#Any#,132
Before Change
counts = {}
for g in groups (I, mask) :
flip = (g + cmask) ^ abs_mask - cmask
result = np.sign(smoothness(flip) - smoothness(g))
if result not in counts:
counts[result] = 0
counts[result] += 1
N = sum(counts.values())
R = float (counts[1 ])/N
S = float (counts[-1 ])/N
return R-S
After Change
def difference (I, mask) :
pool = Pool(multiprocessing.cpu_count())
analysis = pool.map(RSAnalysis(mask).call, groups(I, mask))
pool.close()
pool.join()
counts = [0 , 0 , 0 ]
for v in analysis:
counts[v] += 1
N = sum(counts)
R = float (counts[1 ])/N
S = float (counts[-1 ])/N
return R-S
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: daniellerch/aletheia
Commit Name: 1d275bddd7349b765db88c76ec7dcfdf85de0f42
Time: 2020-11-07
Author: kevin.clark@gmail.com
File Name: aletheialib/attacks.py
Class Name:
Method Name: difference
Project Name: lmcinnes/umap
Commit Name: 187a25566a4aeec255f8b3a52c065cb1be75294f
Time: 2019-02-13
Author: leland.mcinnes@gmail.com
File Name: umap/distances.py
Class Name:
Method Name: weighted_minkowski_grad
Project Name: lmcinnes/umap
Commit Name: 1d731829b41988ab47d8d5f3f4616a48a7dcf58a
Time: 2019-02-13
Author: leland.mcinnes@gmail.com
File Name: umap/distances.py
Class Name:
Method Name: minkowski_grad