Senpai 3.0 by Fabien LETOUZEY is available!

[Frank Quisinsky]

Hi there,

Senpai 3.0 by Fabien LETOUZEY (France) is released on my older website.

https://www.amateurschach.de (download selection)
https://www.amateurschach.de/main/_download.htm
https://www.amateurschach.de/download/_ ... rsions.zip (12.072Mb ... direct download link).

Inside are
- Senpai 1.0, Senpai 2.0, the "older" files from my site.
- Senpai 3.0 JA compiles, sources, readme, copyright.

Jim compiled Senpai 3.0 RC1 in secret mission, I asked him.
Thank you for your time again Jim!



RC1 is now the release version!!

If Jim read that.
Jim, you can also public your Senpai compiles with the sources for your repo.
Please switch only the eval and readme file.

On an Intel i9 10900k I test with 8+2.
I believe, not sure (I have 2.000 games vs. 20 opponents only) ... Elo is a bit more as +200 to Senpai 2.0
Around the same playing strength Shredder 13 have.

Senpai 2.0 participant in FCP-Tourney-2020 ...
Can be see better ...

Code: Select all

   # Player                           :      Elo  Games  Score%   won  draw  lost  Points  Draw%   Error   OppAvg   OppE  MoveAvg
  -------------------------------------------------------------------------------------------------------------------------------
  01. Stockfish 11 BMI2 x64           :  3341.82  2.000    83.7  1353   643     4  1674.5   32.1   13.71  3029.12  10.38     81.1
  02. Komodo 14.0 BMI2 x64            :  3271.29  2.000    77.7  1150   809    41  1554,5   40.5   12.57  3030.88  10.41     78.7
  03. Houdini 6.03 Pro x64            :  3261.82  2.000    76.8  1104   865    31  1536,5   43.3   11.55  3031.12  10.44     81.0
  04. Ethereal 12.25 PEXT x64         :  3202.24  2.000    70.7   909  1009    82  1413,5   50.5   10.71  3032.61  10.46     93.0
  05. SlowChess BC 2.2 x64            :  3171.54  2.000    67.2   843  1002   155  1344,0   50.1   10.06  3033.37  10.48     84.0
  06. Fire 7.1 POP x64                :  3169.39  2.000    67.0   818  1042   140  1339,0   52.1   11.17  3033.43  10.45     86.2
  07. Xiphos 0.6 BMI2 x64             :  3147.47  2.000    64.3   755  1064   181  1287,0   53.2   10.57  3033.98  10.46     84.0
  08. Booot 6.4 POP x64               :  3147.06  2.000    64.3   733  1106   161  1286,0   55.3   10.41  3033.99  10.47     77.5
  09. rofChade 2.3 BMI x64            :  3144.36  2.000    64.0   764  1031   205  1279,5   51.5   10.37  3034.05  10.47     89.6
  10. Laser 1.7 BMI2 x64              :  3120.35  2.000    61.0   672  1097   231  1220,5   54.9   10.05  3034.65  10.48     85.8
  -------------------------------------------------------------------------------------------------------------------------------
  11. Shredder 13 x64                 :  3105.01  2.000    59.1   656  1052   292  1182,0   52.6   10.69  3035.04  10.46     85.8
  12. Fritz 17 (Ginkgo) x64           :  3104.82  2.000    59.1   635  1093   272  1181,5   54.6    9.75  3035.04  10.48     85.6
  13. Schooner 2.2 SSE x64            :  3102.45  2.000    58.8   606  1139   255  1175,5   57.0   10.41  3035.10  10.47     86.0
  14. Defenchess 2.2 POP x64          :  3095.96  2.000    58.0   586  1146   268  1159,0   57.3    9.91  3035.26  10.48     91.5
  15. RubiChess 1.7.3 x64             :  3092.23  2.000    57.5   611  1077   312  1149,5   53.9   10.19  3035.36  10.47     88.2
  16. Andscacs 0.95 BMI2 x64          :  3084.43  2.000    56.5   589  1081   330  1129,5   54.0   10.10  3035.55  10.48     84.4
  17. Fizbo 2.0 BMI2 x64              :  3068.55  2.000    54.4   582  1013   405  1088,5   50.6    9.98  3035.95  10.48     88.5
  18. Arasan 22.0 BMI2 x64            :  3038.06  2.000    50.5   490  1038   472  1009,0   51.9   10.25  3036.71  10.47     86.4
  19. GullChess 3.0 BMI2 x64          :  3035.00  2.000    50.0   451  1100   449  1001,0   55.0    9.87  3036.79  10.48     89.6
  20. Fritz 16 (Rybka) x64            :  2998.27  2.000    45.3   397  1016   587   905,0   50.8    9.78  3037.71  10.48     87.7
  -------------------------------------------------------------------------------------------------------------------------------
  21. Pedone 2.0 BMI2 x64             :  2990.00  2.000    44.2   362  1043   595   883,5   52.1    9.91  3037.91  10.48     88.1
  22. Chiron 4 x64                    :  2987.88  2.000    43.9   358  1040   602   878,0   52.0    9.93  3037.97  10.48     88.9
  23. Vajolet2 2.8 BMI2 x64           :  2986.15  2.000    43.7   345  1057   598   873,5   52.9    9.79  3038.01  10.48     88.5
  24. Winter 0.8 x64                  :  2985.57  2.000    43.6   391   962   647   872,0   48.1   10.34  3038.02  10.47     85.0
  25. Wasp 4.00 Modern x64            :  2984.99  2.000    43.5   342  1057   601   870,5   52.9    9.69  3038.04  10.49     88.6
  26. Critter 1.6a x64                :  2974.14  2.000    42.1   353   979   668   842,5   49.0   10.35  3038.31  10.47     89.8
  27. Igel 2.5.0 BMI2 x64             :  2971.80  2.000    41.8   314  1045   641   836,5   52.3    9.99  3038.37  10.48     83.1
  28. Equinox 3.30 x64                :  2971.61  2.000    41.8   305  1062   633   836,0   53.1   10.03  3038.37  10.48     90.4
  29. Nirvanachess 2.4 POP x64        :  2967.71  2.000    41.3   300  1052   648   826,0   52.6   10.03  3038.47  10.48     85.8
  30. Nemorino 5.00 BMI2 x64          :  2954.56  2.000    39.6   323   939   738   792,5   47.0   10.44  3038.80  10.47     89.9
  -------------------------------------------------------------------------------------------------------------------------------
  31. iCE 4.0 v853 Modern x64         :  2945.84  2.000    38.5   292   957   751   770,5   47.9   10.05  3039.02  10.48     85.4
  32. Demolito 2020-05-14 PEXT x64    :  2945.44  2.000    38.5   311   917   772   769,5   45.9   10.53  3039.03  10.46     96.4
  33. Protector 1.9.0 x64             :  2938.85  2.000    37.6   264   978   758   753,0   48.9   10.41  3039.19  10.47     88.0
  34. Hannibal 1.7 x64                :  2934.63  2.000    37.1   260   965   775   742,5   48.3   10.46  3039.30  10.47     91.1
  35. Texel 1.07 BMI2 x64             :  2931.60  2.000    36.8   263   944   793   735,0   47.2   10.27  3039.37  10.47     89.5
  36. Minic 2.33 x64                  :  2929.38  2.000    36.5   269   921   810   729,5   46.0   10.56  3039.43  10.46     84.5
  37. Senpai 2.0 BMI2 x64             :  2910.10  2.000    34.1   220   925   855   682,5   46.3   10.62  3039.91  10.46     88.9
  38. Combusken 1.2.0 x64             :  2896.88  2.000    32.5   204   894   902   651,0   44.7   10.25  3040.24  10.47     86.1
  39. SmarThink 1.98 AVX2 x64         :  2886.62  2.000    31.4   230   794   976   627,0   39.7   10.80  3040.50  10.46     86.9
  40. Monolith 2 PEXT x64             :  2858.99  2.000    28.2   122   885   993   564,5   44.3   11.01  3041.19  10.45     83.0
  -------------------------------------------------------------------------------------------------------------------------------
  41. Rodent IV 0.22 POP x64          :  2851.68  2.000    27.4   129   839  1032   548,5   42.0   11.53  3041.37  10.44     86.9
  -------------------------------------------------------------------------------------------------------------------------------

Best
Frank

[Frank Quisinsky]

More about Senpai, the development, machine learning, Rust or other questions about it ...
Of course the part of the programmer, Fabien will do that.

Thank you Fabien!

[chessica]

Code: Select all

MEA
chessica
EPD-Datei: sts-1500-sf17.epd
Movetime: 100 ms | Hash: 256 MB | Threads: 1
Detailtabelle
Rank 	Engine 	Rating 	Top1 	MaxTop1 	Top1Rate 	Score 	MaxScore 	ScoreRate 	MoveTime 	Hash(MB) 	Threads 	Elo 	EloError 	EloCI95
1 	stockfish-17.1-avx2 	2824 	1139 	1500 	0.759 	13405 	15000 	0.894 	100 	256 	1 	3194 	3.27 	6.41
2 	reckless-0.9.0 	2824 	1101 	1500 	0.734 	13138 	15000 	0.876 	100 	256 	1 	3164 	3.27 	6.41
3 	reckless_090_dev-162f_64_ja_avx512 	2824 	1100 	1500 	0.733 	13015 	15000 	0.868 	100 	256 	1 	3151 	3.27 	6.41
4 	PlentyChess-7.0.35 	2824 	1071 	1500 	0.714 	12807 	15000 	0.854 	100 	256 	1 	3131 	3.27 	6.41
5 	senpai_30_64_ja_avx 	2824 	878 	1500 	0.585 	10930 	15000 	0.729 	100 	256 	1 	2996 	3.27 	6.41
6 	senpai_30_64_ja_avx512 	2824 	876 	1500 	0.584 	10920 	15000 	0.728 	100 	256 	1 	2995 	3.27 	6.41
7 	senpai_30_64_ja_bmi2 	2824 	879 	1500 	0.586 	10918 	15000 	0.728 	100 	256 	1 	2995 	3.27 	6.41
8 	senpai_30_64_ja_sse4 	2824 	877 	1500 	0.585 	10902 	15000 	0.727 	100 	256 	1 	2994 	3.27 	6.41
9 	senpai_30_64_ja_avx2_zen2 	2824 	876 	1500 	0.584 	10897 	15000 	0.726 	100 	256 	1 	2993 	3.27 	6.41
10 	senpai_30_64_ja_sse3_nopop 	2824 	873 	1500 	0.582 	10865 	15000 	0.724 	100 	256 	1 	2992 	3.27 	6.41
11 	Deuterium_v2019.2.37.73_64bit_pop 	2824 	778 	1500 	0.519 	9778 	15000 	0.652 	100 	256 	1 	2933 	3.27 	6.41

[Graham Banks]

A CEGT tester friend reports that Senpai loses on time in at least 50 percent of its games.

[Ryan Benitez]

A CEGT tester friend reports that Senpai loses on time in at least 70 percent of its games.

This has not shown up in my testing thus far. Senpai is a very stable engine.

[Graham Banks]

A CEGT tester friend reports that Senpai loses on time in at least 70 percent of its games.

This has not shown up in my testing thus far. Senpai is a very stable engine.

Could be an issue under Arena. Cutechess seems perfectly fine.

[Graham Banks]

Another long-time and respected tester asks:

I wonder if the commas in the uci options might confuse some guis (and how did they appear anyway? Fabien never had them before in Fruit/Senpai)?

Code: Select all

id name Senpai 3.0
id author Fabien Letouzey
option name Hash type spin default 64, min 16, max 32768
option name Threads type spin default 1, min 1, max 64
option name Draw Score type spin default 0, min -100, max 100
option name UCI_Chess960 type check default false
uciok

Actually, there is not one single uci engine so far which does this.

[Graham Banks]

The other testers I've quoted, plus me, would like to say thanks, Fabian (and helpers) for releasing a new Senpai.

Personally, looking forward to trying it out.

[Ryan Benitez]

Another long-time and respected tester asks:

I wonder if the commas in the uci options might confuse some guis (and how did they appear anyway? Fabien never had them before in Fruit/Senpai)?

Code: Select all

id name Senpai 3.0
id author Fabien Letouzey
option name Hash type spin default 64, min 16, max 32768
option name Threads type spin default 1, min 1, max 64
option name Draw Score type spin default 0, min -100, max 100
option name UCI_Chess960 type check default false
uciok

Actually, there is not one single uci engine so far which does this.

uci.rs lines 210 to 213:

Code: Select all

            println!("option name {} type {} default {} min {} max {}", "Hash", "spin", 1 << 6, 1 << 4, 1 << 15);
            println!("option name {} type {} default {} min {} max {}", "Threads", "spin", 1, 1, 64);
            println!("option name {} type {} default {} min {} max {}", "Draw Score", "spin", 0, -100, 100);
            println!("option name {} type {} default {}", "UCI_Chess960", "check", "false");

After that it should look like:

Code: Select all

uci
id name Senpai 3.0
id author Fabien Letouzey
option name Hash type spin default 64 min 16 max 32768
option name Threads type spin default 1 min 1 max 64
option name Draw Score type spin default 0 min -100 max 100
option name UCI_Chess960 type check default false
uciok

[Graham Banks]

Another long-time and respected tester asks:

I wonder if the commas in the uci options might confuse some guis (and how did they appear anyway? Fabien never had them before in Fruit/Senpai)?

Code: Select all

id name Senpai 3.0
id author Fabien Letouzey
option name Hash type spin default 64, min 16, max 32768
option name Threads type spin default 1, min 1, max 64
option name Draw Score type spin default 0, min -100, max 100
option name UCI_Chess960 type check default false
uciok

Actually, there is not one single uci engine so far which does this.

uci.rs lines 210 to 213:

Code: Select all

            println!("option name {} type {} default {} min {} max {}", "Hash", "spin", 1 << 6, 1 << 4, 1 << 15);
            println!("option name {} type {} default {} min {} max {}", "Threads", "spin", 1, 1, 64);
            println!("option name {} type {} default {} min {} max {}", "Draw Score", "spin", 0, -100, 100);
            println!("option name {} type {} default {}", "UCI_Chess960", "check", "false");

After that it should look like:

Code: Select all

uci
id name Senpai 3.0
id author Fabien Letouzey
option name Hash type spin default 64 min 16 max 32768
option name Threads type spin default 1 min 1 max 64
option name Draw Score type spin default 0 min -100 max 100
option name UCI_Chess960 type check default false
uciok

Ryan - is it possible to provide compiles that have this by default?