Participant %4: @tdurieux, INRIA

[tdurieux]

Hi all,

I just did a quick naive solution based on string distance:

Dataset	Perfect Match	In Top 10	Recall	Loss
Bench 1	3791	4322 98%	0.86	0.13615878141899027
Bench 2	9910	10805 97%	0.89	0.10263617900182995

[monperrus]

CodRep is like CandyCrush, there are plenty of easy tasks at the beginning but it is super hard at
the end :-)

[tdurieux]

Hey @monperrus,

The ranking does not contain my last score (see the google group), you put the old results with this commit: 4b3af7a

Dataset 1: 0.1143165305556653
Dataset 2: 0.08536293667171425

[monperrus]

could you do a pull request?

[monperrus]

Thanks for the pull request to update your score!

[monperrus]

the readme is now up to date with you top scores!

[tdurieux]

@chenzimin @monperrus
my result for the new bench:

Dataset	Perfect Match	In Top 10	Loss
Dataset 3	17410/18633 93%	10 18438 98%	0.06407823026301902

[chenzimin]

@tdurieux
Good job, I have updated the ranking accordingly.

[tdurieux]

I did a small update on my project, here my results.
(I have to keep the best score, haha 😄)

Dataset	Perfect Match	In Top 10	Loss
Dataset 1	3934	4334 98%	0.10400918447628195
Dataset 2	10123	10850 98%	0.08405196035050681
Dataset 3	17520	18454 99%	0.05824092991175515
Dataset 4	15786	16936 98%	0.07700153400317002

@cesarsotovalero is still better on the dataset 4

Execution time: < 1min per dataset

Interesting fact: when there are several times the same lines in the file, it is better to select the last one. I have no clue why. WDYT?

[monperrus]

Interesting fact: when there are several times the same lines in the file, it is better to select the last one.

Indeed fun

I have no clue why. WDYT?

One idea: because code tends to be added to the end of the file, and new code tend to be more buggy than old code.

[tdurieux]

My final results:

Dataset	Perfect Match	In Top 10	Loss
Dataset 1	3967	4346 98%	0.09654287550022056
Dataset 2	11069	10908 98%	0.07930336605281313
Dataset 3	17753	18498 99%	0.04631417984476575
Dataset 4	16074	17031 99%	0.06053843584998035