From ce88b643625c4dab41b91564d7fa66a01ae9696d Mon Sep 17 00:00:00 2001 From: Krasimir Topchiyski Date: Mon, 6 Feb 2023 20:27:19 +0200 Subject: [PATCH] Update readme for release 3.7 --- .../base/RootSearchConfig_BaseImpl_SMP.java | 2 +- .../doc/engine/txt/backlog_BagaturEngine.txt | 8 +- .../txt/readme_distro_BagaturEngine.txt | 56 +- .../engine/txt/readme_src_BagaturEngine.txt | 42 +- .../txt/release_notes_BagaturEngine.txt | 17 + Sources/Resources/doc/engine/web/info.txt | 119 +--- Sources/Search/readme.txt | 565 +++++++++++++++++- .../search/impl/env/MemoryConsumers.java | 1 - .../search/impl/tpt/TTable_StaticArrays.java | 353 ----------- 9 files changed, 630 insertions(+), 533 deletions(-) delete mode 100644 Sources/Search/src/bagaturchess/search/impl/tpt/TTable_StaticArrays.java diff --git a/Sources/Engines/src/bagaturchess/engines/cfg/base/RootSearchConfig_BaseImpl_SMP.java b/Sources/Engines/src/bagaturchess/engines/cfg/base/RootSearchConfig_BaseImpl_SMP.java index c44d2c854..f3bedd7b5 100644 --- a/Sources/Engines/src/bagaturchess/engines/cfg/base/RootSearchConfig_BaseImpl_SMP.java +++ b/Sources/Engines/src/bagaturchess/engines/cfg/base/RootSearchConfig_BaseImpl_SMP.java @@ -46,7 +46,7 @@ public abstract class RootSearchConfig_BaseImpl_SMP extends RootSearchConfig_Bas + " min 1" + " max " + MAX_CountTranspositionTables ), - + new UCIOptionSpin_Integer(UCIOptions.OPTION_NAME_SMP_Threads , DEFAULT_SMP_Threads, "type spin default " + DEFAULT_SMP_Threads + " min 1" diff --git a/Sources/Resources/doc/engine/txt/backlog_BagaturEngine.txt b/Sources/Resources/doc/engine/txt/backlog_BagaturEngine.txt index af7e0a935..fffc41e1a 100644 --- a/Sources/Resources/doc/engine/txt/backlog_BagaturEngine.txt +++ b/Sources/Resources/doc/engine/txt/backlog_BagaturEngine.txt @@ -1,7 +1,9 @@ This is the Bagatur's to-do list (a.k.a the backlog) of features requested by users (or needed to be implemented, because of technical reasons). -Feel free to contribute http://sourceforge.net/projects/bagaturchess/develop -1. Improve the parallel algorithm to scale on many CPU cores -2. Continuous tuning of the Evaluation function based on the currently best engines +1. Improve the parallel algorithm to scale batter on many CPU cores +2. NNUE implementation of the evaluation function. More info: https://www.chessprogramming.org/NNUE, https://en.wikipedia.org/wiki/Efficiently_updatable_neural_network +3. Continuous tuning of the Evaluation function based on the currently best engines + +You are more than welcome to contribute. \ No newline at end of file diff --git a/Sources/Resources/doc/engine/txt/readme_distro_BagaturEngine.txt b/Sources/Resources/doc/engine/txt/readme_distro_BagaturEngine.txt index 283510869..af12b396d 100644 --- a/Sources/Resources/doc/engine/txt/readme_distro_BagaturEngine.txt +++ b/Sources/Resources/doc/engine/txt/readme_distro_BagaturEngine.txt @@ -1,18 +1,17 @@ -As a chess player, -you want to play chess against a computer program (chess engine) which is able to be integrated inside UCI compliant user interfaces (like Arena). -This distribution is exactly what you want. +Short Description: +As a chess player, I want to play chess against a computer program (chess engine) using UCI compatible graphical user interfaces (GUI), like Arena or CuteChess, on my PC/Laptop. -Here are the steps necessary to run the engine: -1. Download an arbitrary UCI user interface. For example the most popular one is Arena - http://www.playwitharena.com/ +How-to: +1. Download an arbitrary UCI user interface. For example the most popular one is Arena - http://www.playwitharena.com/, https://cutechess.com/ 2. Install the UCI user interface on your computer. -3. Ensure that the Java Runtime Environment (JRE) 1.6 or later is installed on your computer (it should be the case nowadays but if not, have in mind that JRE is required, only JDK doesn't work). It could be downloaded from java.com. -4. Unpack this distribution somewhere (Arena has a sub-folder called 'engines', you can extract it there). -6. Open the UCI user interface and register the engine inside (You should become familiar with the installed UCI user interface anyway). You may use win32 or win64 version depending on your choice. -7. E2-E4 and enjoy :-) +3. Ensure that the Java Runtime Environment (JRE) 1.8 or later is installed on your computer (it should be the case nowadays but if not, have in mind that JRE is required, only JDK doesn't work). It could be downloaded from java.com. +4. Download and unpack this Bagatur's distribution somewhere (Arena has a sub-folder called 'engines', you can extract it there). +6. Open the UCI user interface and register the engine inside (You should become familiar with the installed UCI user interface anyway). There is still win32 version, but migrating to and using win64 is recommended. +7. Enjoy the match(s) :-) Hints: - 1. Bagatur needs at least 64M of memory to run. + 1. Bagatur needs at least 128M of memory to run. By default it runs with 1024M of memory, but uses only 70% of it (30% are for transposition table and the rest of 40% is used for other caches). Because of java programming language specifics, changes in memory could lead to bad performance, anyway if necessary it could be changed by editing the corresponding *.ini or *.bat file. @@ -25,43 +24,8 @@ Hints: 4.2 Under Windows, if for some reason the EXE files do not work as expected, then there are 2 options: A) Edit the corresponding INI file. Find the option 'vm.location', remove semicolons (';' symbol) from the beginning of the line, and set the property to point out the wanted jvm.dll. - jvm.dll could be found in JRE's 'bin/client' or 'bin/server' directory. For example, something like 'C:\jdk1.6.0_07\jre\bin\client\jvm.dll' + jvm.dll could be found in JRE's 'bin/client' or 'bin/server' directory. For example, the path on your disk should be similar to 'C:\jdk1.6.0_07\jre\bin\client\jvm.dll' B) (Not recommended) Use the BAT files inside the 'bin' sub-directory: Bagatur_1core.bat and Bagatur_mcore.bat They can be edited so that the full path to java.exe is valid (it is also enough to add the java.exe to the system path variable) -Fortunately, in this project I am not alone - without the ideas, support and help from many people and web sites, Bagatur would not be as it is now! - If you are interested in the story "How was the idea of Bagatur Chess Engine application born?", than this YouTube video will be most probably interesting for you: https://youtu.be/_rNBxbUAbS0 - -Credits and many thanks to: - 1. My wife and my family, because every now and then I have been stealing from our leisure time to work on this project. - 2. My Employer, SAP, for the great colleagues, for the company values and the culture we have, for the opportunities to have a global impact and to get better in different topics, out of the assignments, roles and tasks I work on each day, and last but not least, for the flex work model we use. - 3. Desislava Chocheva, for her hospitality and willingness to help. Without her support this video couldn't be a fact. - 4. Ivo Zhekov, for motivating me to start this project as well as for accepting the challenge with such a strong opponent in front of the camera. - 5. Simeon Stoichkov, for his general support, regarding chess topics in Bulgaria, as well as for the nice chess pieces and the chess clock, used in this video. - 6. Varna Sound, for their willingness to support us and to participate with their great RAP music. - 7. Iavor Stoimenov, for the endless discussions about Chess topics and Chess Engines. - 8. Ivo Simeonov, for all the ideas, support, discussions, tests and contributed source code (e.g. initial version of pawn structure evaluation, C porting, exe launcher). - 9. Graham Banks from Computer Chess Rating Lists (CCRL) website, https://ccrl.chessdom.com/ccrl/4040/ , https://www.computerchess.org.uk/ccrl/ , for all the chess engine tournaments he has been organizing and broadcasting over the Internet for many years as well. - 10. Anton Mihailov, Aloril and Kan from Top Chess Engine Championship (TCEC) website, https://tcec-chess.com/ , for their invitations for Bagatur and its participation in chess engines tournaments for many seasons. Special thanks to Alroil, who contributed a lot in the testing of Bagatur’s Symmetric MultiProcessing (SMP) version, which runs under CentOS on more than 100 CPU cores on the used hardware. Thanks a lot for the support in case of engine issues/bugs! - 11. Olivier Deville, for his great support during ChessWar XVII, http://www.open-aurec.com/chesswar/ - 12. Zoran Sevarac, author of Neuroph and co-author of Deep Netts, for his great support with the experiments with Neural Networks and Machine Learning in Java. - 13. Roelof Berkepeis, for his testing, shared chess experience with me, and the great ideas described as issues on Bagatur’s page on github.com, https://github.com/bagaturchess/Bagatur/issues - 14. Sameer Sehrawala, for the latest logo and for his general support. - 15. Dusan Stamenkovic, http://www.chessmosaic.com/, for a few old Bagatur logos. - 16. Internet, Global Web, for connecting us. - 17. The Open Source Community! - 18. MTD(f), https://en.wikipedia.org/wiki/MTD(f) , the parallel search of Bagatur is based on this idea. - 19. winrun4j, http://winrun4j.sourceforge.net/ , for the windows executables. - 20. All UCI compatible GUIs and UCI protocol itself. - 21. REBEL, http://www.rebel13.nl/ , very helpful web page. - 22. Glaurung chess engine, nice ideas inside the evaluation function (e.g. king safety). - 23. Fruit, http://www.fruitchess.com/, legendary program, nice and simple design. - 24. ChuckooChess, https://github.com/sauce-code/cuckoo , one of the first Java chess engines. - 25. Chess22k, exciting java chess engine - strong and well written. - 26. The source code of the strongest open-source Chess Engine – Stockfish, https://stockfishchess.org/ - 27. https://sourceforge.net/ - 28. https://github.com/ - 29. https://stackoverflow.com/ - 30. ... and many others! - \ No newline at end of file diff --git a/Sources/Resources/doc/engine/txt/readme_src_BagaturEngine.txt b/Sources/Resources/doc/engine/txt/readme_src_BagaturEngine.txt index 665b20509..e9f860b11 100644 --- a/Sources/Resources/doc/engine/txt/readme_src_BagaturEngine.txt +++ b/Sources/Resources/doc/engine/txt/readme_src_BagaturEngine.txt @@ -1,7 +1,8 @@ -As a chess programmer, -you want to have the sources of Bagatur chess engine as a part of the distribution so that you can easily compile and run them inside the Eclipse development environment. -This source distribution is exactly what you want. It is archived eclipse workspace with simple main method inside the EnginesRunner sub-project. + +Short Description: +As a chess programmer, I want to have the Bagatur's sources in a distribution so that one could easily compile and run the code, inside the Java IDE (e.g. Eclipse development environment). +So this is archived eclipse workspace with source code. There is also main method, inside the EnginesRunner sub-project, which could be used as an entry point to start the Java program in the IDE. How to run the engine: 1. extract the archive in a new directory @@ -16,3 +17,38 @@ How to build a distribution from the sources: 4. copy w.ob and b.ob files (they are packed in the Bagatur engine distribution, inside 'data' sub directory) to the 'Resources\bin\engine\ob' directory (it is inside your workspace, if it isn't presented than create it) 5. run the ant script Ants/engine/build_BagaturEngine_distro.xml from Ants/ directory either from eclipse or command line 6. the distribution archive file will be generated in the WorkDir directory + +Fortunately, in this project I am not alone - without the ideas, support and help from many people and web sites, Bagatur would not be as it is now! +Credits and many thanks to: + 1. My wife and my family, because every now and then I have been stealing from our leisure time to work on this project. + 2. My Employer, SAP, for the great colleagues, for the company values and the culture we have, for the opportunities to have a global impact and to get better in different topics, out of the assignments, roles and tasks I work on each day, and last but not least, for the flex work model we use. + 3. Desislava Chocheva, for her hospitality and willingness to help. Without her support this video couldn't be a fact. + 4. Ivo Zhekov, for motivating me to start this project as well as for accepting the challenge with such a strong opponent in front of the camera. + 5. Simeon Stoichkov, for his general support, regarding chess topics in Bulgaria, as well as for the nice chess pieces and the chess clock, used in this video. + 6. Varna Sound, for their willingness to support us and to participate with their great RAP music. + 7. Iavor Stoimenov, for the endless discussions about Chess topics and Chess Engines. + 8. Ivo Simeonov, for all the ideas, support, discussions, tests and contributed source code (e.g. initial version of pawn structure evaluation, C porting, exe launcher). + 9. Graham Banks from Computer Chess Rating Lists (CCRL) website, https://ccrl.chessdom.com/ccrl/4040/ , https://www.computerchess.org.uk/ccrl/ , for all the chess engine tournaments he has been organizing and broadcasting over the Internet for many years as well. + 10. Anton Mihailov, Aloril and Kan from Top Chess Engine Championship (TCEC) website, https://tcec-chess.com/ , for their invitations for Bagatur and its participation in chess engines tournaments for many seasons. Special thanks to Alroil, who contributed a lot in the testing of Bagatur’s Symmetric MultiProcessing (SMP) version, which runs under CentOS on more than 100 CPU cores on the used hardware. Thanks a lot for the support in case of engine issues/bugs! + 11. Olivier Deville, for his great support during ChessWar XVII, http://www.open-aurec.com/chesswar/ + 12. Zoran Sevarac, author of Neuroph and co-author of Deep Netts, for his great support with the experiments with Neural Networks and Machine Learning in Java. + 13. Roelof Berkepeis, for his testing, shared chess experience with me, and the great ideas described as issues on Bagatur’s page on github.com, https://github.com/bagaturchess/Bagatur/issues + 14. Sameer Sehrawala, for the latest logo and for his general support. + 15. Dusan Stamenkovic, http://www.chessmosaic.com/, for a few old Bagatur logos. + 16. Internet, Global Web, for connecting us. + 17. The Open Source Community! + 18. MTD(f), https://en.wikipedia.org/wiki/MTD(f) , the parallel search of Bagatur is based on this idea. + 19. winrun4j, http://winrun4j.sourceforge.net/ , for the windows executables. + 20. All UCI compatible GUIs and UCI protocol itself. + 21. REBEL, http://www.rebel13.nl/ , very helpful web page. + 22. Glaurung chess engine, nice ideas inside the evaluation function (e.g. king safety). + 23. Fruit, http://www.fruitchess.com/, legendary program, nice and simple design. + 24. ChuckooChess, https://github.com/sauce-code/cuckoo , one of the first Java chess engines. + 25. Chess22k, exciting java chess engine - strong and well written. + 26. The source code of the strongest open-source Chess Engine – Stockfish, https://stockfishchess.org/ + 27. https://sourceforge.net/ + 28. https://github.com/ + 29. https://stackoverflow.com/ + 30. ... and many others! + + \ No newline at end of file diff --git a/Sources/Resources/doc/engine/txt/release_notes_BagaturEngine.txt b/Sources/Resources/doc/engine/txt/release_notes_BagaturEngine.txt index 297339f88..c7d70b59e 100644 --- a/Sources/Resources/doc/engine/txt/release_notes_BagaturEngine.txt +++ b/Sources/Resources/doc/engine/txt/release_notes_BagaturEngine.txt @@ -1,3 +1,20 @@ +Version 3.7 (07 February 2023) + * + * SMP version: + * 1. On https://tcec-chess.com/ S24, there is still NPS sclaing issue, because the achieved value is 5-10M nps and the expected is 30M nps. + * 2. The issue is reproducable on CentOS Stream release 8 and Java OpenJDK 1.8.0. + * 3. The tests show that with up to 64 cores (128 logical porcessors) it still achieves more stable and deeper depth, for a fixed time, with only 1 Transposition Table, although the NPS is between 3 and 6 times smaller. + * 4. A new UCI option is introduced for SMP version - CountTranspositionTables. + * 5. On CentOS Stream release 8 and Java OpenJDK 1.8.0, with 8 Transposition Tables the SMP search achieves similar depth and time, so there is sense to set it not to be 1, only when there is a NPS sclaing issue. In such cases it could be set up to SQRT(THREADS_COUNT) Transposition Tables. + * 6. More details about the tests of the SMP version, could be found here: https://github.com/bagaturchess/Bagatur/tree/master/Sources/Search#readme + * 7. Bug fixing and optimizations inside the bagaturchess.search.impl.rootsearch.parallel.SearchersInfo class. + * 8. SMP version: Code clean up and simplification + * + * Single Core version + * 1. Randomize the non-attacking moves, before moves' ordering and sorting, in order to benefit from the search's undeterminism and minimize error. + * + + Version 3.6b (04 September 2022) * TBs: DTZ or DTM check improved. Still not 100% accurate - alone king condition used. Still direct DTM from native syzygy lib is not used, because of JNI/C types related issues, which need more time. * TBs: Syzygy native lib changes and JNI integration code adoption - methods time are incorrect. How Value has to be converted to int? diff --git a/Sources/Resources/doc/engine/web/info.txt b/Sources/Resources/doc/engine/web/info.txt index 8e5166e53..b84349fa2 100644 --- a/Sources/Resources/doc/engine/web/info.txt +++ b/Sources/Resources/doc/engine/web/info.txt @@ -1,115 +1,4 @@ - - -Parallel MTD(f) search - idea & implementation - - It is working well and this is proven by the results. - The factor with 2 CPU cores is 1.7 - The factor with 4 CPU cores is X.Y - - The invented algorithm is based on the original MTD(f) idea, described here - http://people.csail.mit.edu/plaat/mtdf.html. - In short, it works by zooming in the minimax value. - The difference with the original idea comes from the way in which the zoom is performed (e.g. in parallel, adaptive betas calculation, search threads' re-starts, etc.). - - The algorithm uses central data structure (CDS), which keeps: - 1. Depth /*number*/ - Current search iteration (a.k.a. Depth) - 2. Lower /*number*/ - 3. Upper /*number*/ - The bounds to which the minimax value is narrowed in the current iteration. - In the beginning of the search (for the given iteration) the bounds are set to -Infinity and +Infinity. - Than, during the search, the minimax value is continuously approached by the lower and upper bounds. - 4. BetasList /*list of numbers*/ - The latest 'betas' list - This data structure is accessed via critical sections during the parallel search. - - Parallelism comes from multiple threads, which perform 'null window' searches in parallel. - Each thread searches with given 'beta' value. The 'betas' are calculated in a specific and adaptive way, which will be explained later. - On some conditions one or more of the threads can be re-started with different 'beta' and/or depth. - Re-start happens in the following situations: - 1. Next iteration is started - 2. Thread's 'beta' is outside the latest bounds (tracked in the CDS) - - There is one thread which initiates the search by doing the following: - 1. CDS.Depth = 1 - 2. CDS.Lower = -Infinity - 3. CDS.Upper = +Infinity - 4. CDS.BetasList = call 'betasgen' procedure - 5 Let TrustWindow = 16; - 6. Notify all threads to start searching in parallel. Let's assume that the count of the threads is N (e.g. = physical CPUs cores' count). - - Then all threads begin and here is the procedure, which each searcher thread follows: - 1 Get depth and next beta from the central data structure - [beta, depth] pair - 2 Start alpha-beta 'null window' search - 3 Checks periodically whether the search depth is equal to the depth recorded in the central data structure - and whether the beta is inside the current lower and upper bound recorded in the central data structure. - If not, than stop the search and go to 1 - 4 Else when the search have finished normally, there are 2 interesting cases - update the lower or the upper bound of CDS. - This update could potentially increase the depth of the search. - The updates also trigger a call to 'betasgen' and hence re-generates betas list (tracked in CDS) and parallel search continues with these new values. - Both cases are explained below in more details: - 4a found new lower bound - returnval is lower bound when returnval >= beta - if (returnval > CDS.Lower) { - CDS.Lower = returnval - if (TrustWindow < CDS.Upper - CDS.Lower) { - CDS.Lower = -Infinity - CDS.Upper = +Infinity - CDS.Depth = CDS.Depth + 1 - } - CDS.BetasList = call 'betasgen' procedure in order to generate the new list of betas - } else do nothing - 4b found new upper bound - returnval is upper bound when returnval <= alpha - if (returnval < CDS.Upper) { - CDS.Upper = returnval - if (TrustWindow < CDS.Upper - CDS.Lower) { - CDS.Lower = -Infinity - CDS.Upper = +Infinity - CDS.Depth = CDS.Depth + 1 - } - CDS.BetasList = call 'betasgen' procedure in order to generate the new list of betas - } else do nothing - 5 Go to 1 - - - 'betasgen' procedure (the calculation of betas follows this procedure) - * - * int IE /*initial eval*/ = the rough estimation of the minimax value based on the previous iteration or the transposition entry or the static evaluation of the root position - * int STEP = 16 - * int trend = 1 - * - * int size = N * trend * STEP - * if size >= upper - lower - * int window = (upper - lower) / (N + 1) - * if window <= 0 - * for i=lower + 1; i<=upper; i++ - * add_to_beta_list i - * else //window > 0 - * for i=1; i<= N; i++ - * add_to_beta_list IE + ((trend == UP) ? (+1) : (-1)) * i * window - * else //size < upper - lower - * int shift = firstTime ? 1 : 0 /*firstTime is true when lower = -Infinity and upper = +Infinity*/ - * for i=1 + shift; i<= N; i++ - * add_to_beta_list IE + ((trend == UP) ? (+1) : (-1)) * i * trend * STEP - * - - /*link to source file*/ - - Trust interval - - Table with examples - - -Self and Advised learning - - -Gaviota Java API - Asynchronous algorithm - Normally the access to EGTBs takes time and slows down the search. - The cache helps to some extend but is not enough to provide an alternative, which doesn't affect the search speed in a negative way. - - How to use the API? - - -Measurements search/eval/speed - Self play - Cuckoo experiments - +The content of the old versions of this file is not valid anymore: +1. It is now true, that the MTD(f) works better in 1 thread and SMP version should use parallelism only at the root node - to start many threads, each one runing MTD(f) search of the root position. +2. LazySMP still gives worst ELO strength - If we start all threads with different root moves, than the ELO is less, compared to if all threads start from the last best move got from the Transposition Table. +3. More details about the MTD(f) algorithm and SMP version, could be found here: https://github.com/bagaturchess/Bagatur/tree/master/Sources/Search#readme diff --git a/Sources/Search/readme.txt b/Sources/Search/readme.txt index 31d5857e0..7076a077c 100644 --- a/Sources/Search/readme.txt +++ b/Sources/Search/readme.txt @@ -11,21 +11,564 @@ and one which supports the mixture of both in order to optimize search effective 1. bagaturchess.search.impl.rootsearch.sequential.MTDSequentialSearch 2. bagaturchess.search.impl.rootsearch.parallel.MTDParallelSearch 2. bagaturchess.search.impl.rootsearch.mixed.MTDMixedSearch -All implementations are using the MTD algorithm based on the PV search algorithm. +All implementations are using the MTD(f) algorithm based on the PV search algorithm. It is also possible to start the sequential search with standard Alpha-Beta negascout with appropriate configuration (for more information have a look at the Engines sub-project which contains different engines' configurations). There is also an internal interface bagaturchess.search.api.internal.ISearch which is used inside the implementors of IRootSearch. The main difference between the IRootSearch and ISearch interfaces is that the first one is -an object oriented model of "Searcher" with only few arguments of its methods' declarations compared to the second one which is -the standard back-tracking implementation of alpha-beta search and has a lot of arguments inside its methods' declarations. +an object oriented model of "Searcher" in the terms of UCI protocol and the second one is a standard back-tracking implementation of alpha-beta. +Both interfaces IRootSearch and ISearch could be merged and be better. Besides, the 'Search' sub-project contains important ideas and realizations on which you must have a look: -1. Adaptive move ordering -2. Adaptive extensions -3. MTD based on PV Alpha-Beta search -4. Unlimited parallel search based on MTD (unlimited from CPUs' core count perspective) -5. Efficient tracking of the PV (principal variation) from memory and performance perspective -6. Other little ideas everywhere inside the code ... - -Have a nice usage ... and feel free to contribute. +1. MTD based on PV Alpha-Beta search1 +2. Efficient tracking of the PV (principal variation) from memory and performance perspective +3. Other little ideas everywhere inside the code ... + +You are more than welcome to contribute. + +SMP version tests on CentOS Stream release 8 and Java OpenJDK 1.8.0, 64 cores / 128 logical processors, with 64 Java threads configured as an UCI option. +(Note: Check TTs count in relation to nps, depth, time and hashfull) + +1 TTs +info depth 14 seldepth 14 time 4737 nodes 992492 nps 209519 score cp 30 hashfull 0 pv e2e4 e7e5 b1c3 b8c6 g1f3 f8c5 d2d3 d7d6 c3a4 g8e7 a4c5 d6c5 c1g5 c8e6 +info depth 14 seldepth 14 time 4891 nodes 1172886 nps 239804 score cp 32 hashfull 0 pv e2e4 e7e5 g1f3 c7c5 f3e5 d8a5 +info depth 14 seldepth 14 time 4906 nodes 1180315 nps 240586 score cp 33 hashfull 0 pv e2e4 e7e5 g1f3 c7c5 f3e5 d8a5 +info depth 14 seldepth 14 time 4969 nodes 1226334 nps 246796 score cp 32 hashfull 0 pv e2e4 e7e5 g1f3 c7c5 f3e5 d8a5 +info depth 15 seldepth 19 time 5077 nodes 1463795 nps 288318 score cp 30 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 b1c3 g8f6 f1c4 a7a6 f3g5 c6e7 g5f7 +info depth 15 seldepth 15 time 5108 nodes 1607300 nps 314663 score cp 31 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 b1c3 f8b4 f1d3 h7h6 e4e5 b4c3 +info depth 15 seldepth 15 time 5170 nodes 1940567 nps 375351 score cp 30 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 b1c3 f8b4 f1d3 h7h6 e4e5 b4c3 +info depth 16 seldepth 18 time 5353 nodes 2614593 nps 488435 score cp 23 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 f1d3 d8e7 e1g1 f6e4 d1e1 c8b7 d3e4 +info depth 16 seldepth 22 time 5368 nodes 2756824 nps 513566 score cp 29 hashfull 0 pv g1f3 d7d5 b1c3 g8f6 b2b4 b8d7 e2e4 d5e4 +info depth 17 seldepth 19 time 5399 nodes 2955676 nps 547448 score cp 23 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 b1c3 g8f6 f1c4 h7h6 d2d3 f8c5 a2a3 f6g4 a1b1 g4f2 +info depth 17 seldepth 17 time 5446 nodes 3380753 nps 620777 score cp 22 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 d1e2 f8c5 c1e3 c5d6 e3d4 a7a6 e4e5 +info depth 18 seldepth 22 time 5537 nodes 3853818 nps 696011 score cp 23 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 c7c5 b1c3 g7g6 e4e5 d6e5 f3e5 b8a6 f1a6 b7a6 e5f3 d8e7 c3e2 +info depth 19 seldepth 21 time 6551 nodes 5281330 nps 806186 score cp 23 hashfull 0 pv e2e4 g7g5 b1c3 b8c6 d2d4 e7e5 d4e5 f8h6 f2f4 g5f4 g1f3 g8f6 e5f6 d8f6 f1c4 h6g5 f3g5 f6g5 e1d2 +info depth 19 seldepth 19 time 7262 nodes 8931501 nps 1229895 score cp 22 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 d1e2 f8c5 c1e3 c5e3 e2e3 f6g4 e3f4 d7d5 e4d5 d8d5 +info depth 19 seldepth 19 time 7526 nodes 11660861 nps 1549410 score cp 21 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 d1e2 f8c5 c1e3 c5e3 e2e3 f6g4 e3f4 d7d5 e4d5 d8d5 +info depth 20 seldepth 25 time 7651 nodes 12726179 nps 1663335 score cp 20 hashfull 0 pv e2e4 c7c5 b1c3 b8c6 g1f3 d7d6 d2d4 a7a6 +info depth 20 seldepth 21 time 7730 nodes 13209708 nps 1708888 score cp 21 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 d1e2 f8c5 c1e3 c5e3 e2e3 e8g8 e4e5 f6g4 e3f4 d7d6 e5d6 c7d6 +info depth 20 seldepth 21 time 8023 nodes 14392750 nps 1793936 score cp 20 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 d1e2 f8c5 c1e3 c5e3 e2e3 e8g8 e4e5 f6g4 e3f4 d7d6 e5d6 c7d6 +info depth 21 seldepth 24 time 8054 nodes 14490803 nps 1799205 score cp 18 hashfull 0 pv e2e4 d7d6 g1f3 b8c6 b1c3 c8g4 d2d4 d6d5 e4d5 g4f3 d1f3 c6d4 f3e4 a8c8 +info depth 21 seldepth 24 time 8070 nodes 14504727 nps 1797363 score cp 19 hashfull 0 pv e2e4 d7d6 g1f3 b8c6 b1c3 c8g4 d2d4 d6d5 e4d5 g4f3 d1f3 c6d4 f3e4 a8c8 +info depth 21 seldepth 21 time 8166 nodes 14988477 nps 1835473 score cp 20 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 e4e5 d8e7 d1e2 f6d5 c1d2 c8b7 b1c3 a8d8 c3d5 c6d5 c2c3 +info depth 21 seldepth 24 time 8441 nodes 15741709 nps 1864910 score cp 21 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 g8f6 d4c6 b7c6 e4e5 d8e7 d1e2 f6d5 c1d2 c8b7 b1c3 a8d8 c3d5 c6d5 +info depth 21 seldepth 27 time 8935 nodes 19246998 nps 2154112 score cp 22 hashfull 0 pv e2e4 d7d6 g1f3 b8c6 b1c3 c8g4 d2d4 d6d5 e4d5 g4f3 d1f3 c6d4 f3e4 a7a5 e4d4 h7h6 c1e3 g8f6 d5d6 e7d6 h2h3 +info depth 22 seldepth 27 time 8996 nodes 19847999 nps 2206313 score cp 23 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 +info depth 22 seldepth 24 time 12466 nodes 32680113 nps 2621539 score cp 24 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 c1e3 h7h6 g2g3 f6e4 d4e4 d8e7 e4e7 e8e7 b1c3 e7d6 f1b5 +info depth 22 seldepth 24 time 12559 nodes 33959900 nps 2704028 score cp 25 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 c1e3 h7h6 g2g3 f6e4 d4e4 d8e7 e4e7 e8e7 b1c3 e7d6 f1b5 +info depth 22 seldepth 24 time 12621 nodes 34321021 nps 2719358 score cp 26 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 c1e3 h7h6 g2g3 f6e4 d4e4 d8e7 e4e7 e8e7 b1c3 e7d6 f1b5 +info depth 22 seldepth 24 time 12774 nodes 35560878 nps 2783848 score cp 27 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 c1e3 h7h6 g2g3 f6e4 d4e4 d8e7 e4e7 e8e7 b1c3 e7d6 f1b5 +info depth 22 seldepth 24 time 13371 nodes 38686880 nps 2893342 score cp 28 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 c1e3 h7h6 g2g3 f6e4 d4e4 d8e7 e4e7 e8e7 b1c3 e7d6 f1b5 +info depth 22 seldepth 24 time 14305 nodes 44332052 nps 3099059 score cp 29 hashfull 0 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 b7b6 d1d4 g8f6 c1e3 h7h6 g2g3 f6e4 d4e4 d8e7 e4e7 e8e7 b1c3 e7d6 f1b5 +info depth 23 seldepth 29 time 14382 nodes 44675581 nps 3106353 score cp 31 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 23 seldepth 29 time 14796 nodes 45466511 nps 3072892 score cp 30 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 23 seldepth 29 time 14842 nodes 46211674 nps 3113574 score cp 29 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 23 seldepth 29 time 14858 nodes 46338013 nps 3118724 score cp 28 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 23 seldepth 29 time 16662 nodes 59406318 nps 3565377 score cp 27 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 23 seldepth 29 time 16804 nodes 60318342 nps 3589522 score cp 26 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 23 seldepth 29 time 16883 nodes 61146073 nps 3621754 score cp 25 hashfull 0 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d8e7 c1e3 b8c6 f1c4 c8f5 e1g1 e8c8 b1c3 e4c3 b2c3 d6d5 e3g5 d5c4 g5e7 +info depth 24 seldepth 33 time 17613 nodes 67877952 nps 3853855 score cp 22 hashfull 0 pv e2e4 c7c5 b1c3 b8c6 g1f3 e7e5 f1c4 +info depth 24 seldepth 32 time 19404 nodes 80179657 nps 4132120 score cp 23 hashfull 0 pv e2e4 e7e6 g1f3 d7d5 e4d5 e6d5 d2d4 g8f6 f1d3 f8d6 d1e2 d6e7 e1g1 e8g8 c1f4 f8e8 f3e5 e7d6 b1c3 a7a6 f1e1 b8c6 a1d1 c6d4 +info depth 25 seldepth 30 time 20153 nodes 84138412 nps 4174981 score cp 22 hashfull 0 pv e2e4 c7c5 b1c3 b8c6 g1f3 g8f6 f1b5 c6d4 b5a4 b7b5 c3b5 d4b5 a4b5 f6e4 b2b3 a7a6 b5d3 c8b7 c1b2 e7e5 d3e4 b7e4 d1e2 e4f3 g2f3 +info depth 25 seldepth 30 time 21855 nodes 94271798 nps 4313511 score cp 23 hashfull 0 pv e2e4 c7c5 b1c3 b8c6 g1f3 g8f6 f1b5 c6d4 b5a4 b7b5 c3b5 d4b5 a4b5 f6e4 b2b3 a7a6 b5d3 c8b7 c1b2 e7e5 d3e4 b7e4 d1e2 e4f3 g2f3 +info depth 25 seldepth 30 time 22086 nodes 95521900 nps 4324997 score cp 24 hashfull 0 pv e2e4 e7e6 b1c3 d7d5 d2d4 f8b4 g1e2 d5e4 a2a3 b4c3 e2c3 f7f5 c1f4 g8f6 c3b5 b8a6 f1c4 h7h6 e1g1 c7c6 b5d6 d8d6 f4d6 f6h7 c4a6 b7a6 d6f8 +info depth 25 seldepth 31 time 22194 nodes 96762995 nps 4359871 score cp 25 hashfull 0 pv e2e4 e7e6 b1c3 d7d5 d2d4 f8b4 g1e2 d5e4 a2a3 b4c3 e2c3 f7f5 c1f4 g8f6 c3b5 b8a6 f1c4 h7h6 e1g1 c7c6 b5d6 d8d6 f4d6 f6h7 c4a6 b7a6 d6f8 +info depth 25 seldepth 31 time 22225 nodes 97209209 nps 4373867 score cp 26 hashfull 0 pv e2e4 e7e6 b1c3 d7d5 d2d4 f8b4 g1e2 d5e4 a2a3 b4c3 e2c3 f7f5 c1f4 g8f6 c3b5 b8a6 f1c4 h7h6 e1g1 c7c6 b5d6 d8d6 f4d6 f6h7 c4a6 b7a6 d6f8 +info depth 25 seldepth 31 time 22241 nodes 97576254 nps 4387224 score cp 27 hashfull 0 pv e2e4 e7e6 b1c3 d7d5 d2d4 f8b4 g1e2 d5e4 a2a3 b4c3 e2c3 f7f5 c1f4 g8f6 c3b5 b8a6 f1c4 h7h6 e1g1 c7c6 b5d6 d8d6 f4d6 f6h7 c4a6 b7a6 d6f8 +info depth 25 seldepth 31 time 22288 nodes 98888344 nps 4436842 score cp 28 hashfull 0 pv e2e4 e7e6 b1c3 d7d5 d2d4 f8b4 g1e2 d5e4 a2a3 b4c3 e2c3 f7f5 c1f4 g8f6 c3b5 b8a6 f1c4 h7h6 e1g1 c7c6 b5d6 d8d6 f4d6 f6h7 c4a6 b7a6 d6f8 +info depth 25 seldepth 25 time 22473 nodes 100493912 nps 4471762 score cp 29 hashfull 0 pv e2e4 c7c5 b1c3 b8c6 g1f3 g8f6 f1b5 c6d4 e4e5 d4f3 g2f3 a7a6 b5e2 f6h5 d2d4 c5d4 d1d4 e7e6 c1e3 f7f6 e1c1 h7h6 e5f6 h5f6 c1b1 +info depth 26 seldepth 38 time 27187 nodes 131891221 nps 4851260 score cp 30 hashfull 0 pv e2e4 c7c5 b1c3 b8c6 g1f3 g8f6 f1b5 e7e5 e1g1 f8d6 b5c4 h7h6 d2d3 a7a6 c4b3 d6c7 c3d5 d7d6 c1d2 f6d5 b3d5 e8g8 c2c3 f8e8 d5c6 b7c6 +info depth 26 seldepth 26 time 37679 nodes 197547827 nps 5242915 score cp 29 hashfull 10 pv e2e4 c7c5 b1c3 b8c6 g1f3 g8f6 f1b5 e7e5 e1g1 f8d6 b5c4 h7h6 d2d3 a7a6 c4b3 d6c7 c3d5 d7d6 c1d2 f6d5 b3d5 e8g8 c2c3 f8e8 d5c6 b7c6 +info depth 27 seldepth 40 time 40312 nodes 230348526 nps 5714142 score cp 30 hashfull 10 pv e2e4 c7c5 g1f3 a7a6 b1c3 d7d6 d2d4 c5d4 f3d4 g8f6 c1e3 e7e5 d4f3 c8e6 f3g5 b8c6 g5e6 f7e6 f1c4 d6d5 e4d5 f6d5 c3d5 e6d5 +info depth 27 seldepth 37 time 41357 nodes 237761641 nps 5749005 score cp 29 hashfull 10 pv e2e4 c7c5 b1c3 d7d6 g1f3 g8f6 f1c4 a7a6 d2d4 c5d4 d1d4 b8c6 d4d3 c8g4 c1f4 c6a5 a1d1 a5c4 d3c4 d8b6 c4b3 b6b3 c2b3 +info depth 27 seldepth 37 time 47528 nodes 268990438 nps 5659620 score cp 28 hashfull 10 pv e2e4 c7c5 b1c3 d7d6 g1f3 g8f6 f1c4 a7a6 d2d4 c5d4 d1d4 b8c6 d4d3 c8g4 c1f4 c6a5 a1d1 a5c4 d3c4 d8b6 c4b3 b6b3 c2b3 +info depth 27 seldepth 35 time 63900 nodes 382751602 nps 5989852 score cp 30 hashfull 20 pv d2d4 d7d5 c2c4 d5c4 e2e3 b7b5 a2a4 c7c6 a4b5 c6b5 d1f3 g8f6 f3a8 c8b7 a8b7 c4c3 +info depth 28 seldepth 39 time 66999 nodes 398741270 nps 5951451 score cp 30 hashfull 20 pv d2d4 d7d5 c2c4 d5c4 e2e3 b7b5 a2a4 c7c6 a4b5 c6b5 d1f3 g8f6 f3a8 c8b7 a8b7 c4c3 b2c3 e7e6 f1b5 f6d7 +info depth 29 seldepth 35 time 91777 nodes 544908976 nps 5937315 score cp 30 hashfull 40 pv d2d4 d7d5 g1f3 e7e6 c2c4 g8f6 b1c3 h7h6 c1f4 f8b4 e2e3 e8g8 d1b3 b8c6 c4d5 e6d5 a2a3 b4c3 b3c3 f6h5 f4e5 c8f5 c3b3 a8b8 b3b4 c6b4 +info depth 30 seldepth 30 time 109045 nodes 671597363 nps 6158901 score cp 30 hashfull 50 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 c7c5 c4d5 c5d4 d1a4 b8d7 f3d4 f6d5 c3d5 e6d5 e2e3 f8c5 f1e2 e8g8 e1g1 d7f6 a4c2 c5d4 e3d4 f8e8 e2f3 c8d7 c1d2 e8e1 d2e1 +info depth 31 seldepth 39 time 133697 nodes 823923036 nps 6162614 score cp 30 hashfull 70 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 c7c5 c4d5 e6d5 c1g5 c5d4 g5f6 d8f6 c3d5 f6d8 d1d4 b8c6 d4d3 c8d7 h2h3 a8c8 e2e3 a7a6 d5c3 f8b4 a2a3 e8g8 a3b4 c6b4 d3d1 +info depth 32 seldepth 41 time 160488 nodes 1013000998 nps 6312004 score cp 30 hashfull 90 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 d5c4 e2e4 f8b4 c1g5 b7b5 e4e5 b8d7 e5f6 g7f6 g5d2 b4c3 b2c3 d7c5 +info depth 33 seldepth 41 time 193285 nodes 1229733601 nps 6362281 score cp 30 hashfull 110 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 c7c5 c4d5 f6d5 e2e4 d5c3 b2c3 c5d4 c3d4 b8c6 f1d3 f8b4 c1d2 e8g8 d2b4 c6b4 e1g1 c8d7 a1b1 b4d3 d1d3 f7f6 b1b7 d7c6 +info depth 34 seldepth 42 time 239287 nodes 1544472179 nps 6454475 score cp 30 hashfull 150 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 c7c5 c4d5 f6d5 e2e4 d5c3 b2c3 f8e7 f1b5 c8d7 a1b1 d7b5 b1b5 b7b6 e1g1 a7a6 b5b2 b8c6 d4d5 e6d5 e4d5 c6e5 f3e5 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e5d4 c5d4 f3d4 d5c3 b2c3 e6e5 e2g4 c8g4 d1g4 e5d4 + + +4 TTs +info depth 23 seldepth 26 time 11205 nodes 61856079 nps 5520399 score cp 30 hashfull 0 pv e2e4 c7c5 g1f3 b8c6 b1c3 h7h6 h2h3 e7e6 d2d4 c5d4 f3d4 c6d4 d1d4 g8e7 c1e3 e7c6 d4d2 f8b4 a2a3 a7a6 a3b4 c6b4 e4e5 +info depth 24 seldepth 30 time 12964 nodes 76441854 nps 5896471 score cp 30 hashfull 10 pv e2e4 c7c5 g1f3 b8c6 b1c3 g8f6 f1b5 c6d4 e4e5 d4b5 c3b5 f6e4 e1g1 a7a6 b5a3 d7d5 d2d3 e4d6 e5d6 +info depth 24 seldepth 28 time 16229 nodes 109454294 nps 6744364 score cp 31 hashfull 10 pv e2e4 b8c6 d2d4 d7d5 e4d5 d8d5 g1f3 e7e5 b1c3 d5d8 d4e5 d8d1 c3d1 c8e6 +info depth 24 seldepth 28 time 16352 nodes 111049663 nps 6791197 score cp 30 hashfull 10 pv e2e4 b8c6 d2d4 d7d5 e4d5 d8d5 g1f3 e7e5 b1c3 d5d8 d4e5 d8d1 c3d1 c8e6 +info depth 24 seldepth 34 time 16569 nodes 114687856 nps 6921833 score cp 31 hashfull 10 pv e2e4 e7e5 g1f3 b8c6 d2d4 e5d4 f3d4 f8b4 c2c3 c6d4 c3b4 d8f6 +info depth 24 seldepth 34 time 17150 nodes 119380382 nps 6960955 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g1f3 b8c6 b1c3 g8f6 f1b5 c6d4 e4e5 d4b5 c3b5 f6e4 e1g1 a7a6 b5a3 d7d5 d2d3 e4d6 e5d6 e7d6 f1e1 f8e7 c1e3 d5d4 e3g5 +info depth 24 seldepth 34 time 22305 nodes 162462934 nps 7283700 score cp 30 hashfull 20 pv e2e4 c7c5 g1f3 b8c6 b1c3 g8f6 f1b5 c6d4 e4e5 d4b5 c3b5 f6e4 e1g1 a7a6 b5a3 d7d5 d2d3 e4d6 e5d6 e7d6 f1e1 f8e7 c1e3 d5d4 e3g5 +info depth 25 seldepth 30 time 22367 nodes 163353305 nps 7303317 score cp 28 hashfull 20 pv e2e4 e7e6 g1f3 d7d5 e4d5 e6d5 d2d4 g8f6 f1d3 f8d6 d1e2 d6e7 e1g1 e8g8 b1c3 f8e8 c1g5 e7d6 g5f6 g7f6 e2d2 h7h6 +info depth 25 seldepth 30 time 22933 nodes 165685529 nps 7224764 score cp 27 hashfull 20 pv e2e4 e7e6 g1f3 d7d5 e4d5 e6d5 d2d4 g8f6 f1d3 f8d6 d1e2 d6e7 e1g1 e8g8 b1c3 f8e8 c1g5 e7d6 g5f6 g7f6 e2d2 h7h6 +info depth 25 seldepth 30 time 22964 nodes 165961305 nps 7227020 score cp 26 hashfull 20 pv e2e4 e7e6 g1f3 d7d5 e4d5 e6d5 d2d4 g8f6 f1d3 f8d6 d1e2 d6e7 e1g1 e8g8 b1c3 f8e8 c1g5 e7d6 g5f6 g7f6 e2d2 h7h6 +info depth 25 seldepth 32 time 23727 nodes 171701646 nps 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f1d3 f8e7 e1g1 b8c6 f1e1 c8g4 d3e4 d5e4 e1e4 g4f5 e4f4 f5e6 b1c3 h7h6 d4d5 +info depth 26 seldepth 35 time 32836 nodes 572682466 nps 17440689 score cp 28 hashfull 110 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 f8e7 e1g1 b8c6 f1e1 c8g4 d3e4 d5e4 e1e4 g4f5 e4f4 f5e6 b1c3 h7h6 d4d5 +info depth 26 seldepth 35 time 33494 nodes 580933596 nps 17344407 score cp 29 hashfull 110 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 f8e7 e1g1 b8c6 f1e1 c8g4 d3e4 d5e4 e1e4 g4f5 e4f4 f5e6 b1c3 h7h6 d4d5 +info depth 26 seldepth 35 time 33708 nodes 589433053 nps 17486443 score cp 28 hashfull 110 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 f8e7 e1g1 b8c6 f1e1 c8g4 d3e4 d5e4 e1e4 g4f5 e4f4 f5e6 b1c3 h7h6 d4d5 +info depth 26 seldepth 35 time 35148 nodes 619729896 nps 17632010 score cp 29 hashfull 120 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 f8e7 e1g1 b8c6 f1e1 c8g4 d3e4 d5e4 e1e4 g4f5 e4f4 f5e6 b1c3 h7h6 d4d5 +info depth 27 seldepth 36 time 36250 nodes 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c1e3 c5e3 d5e3 c8d7 f3d2 g8h7 c4d5 f6d5 e3d5 c6d4 c3d4 +info depth 27 seldepth 37 time 40556 nodes 752447569 nps 18553298 score cp 30 hashfull 150 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 a7a6 e1g1 h7h6 b1c3 f8c5 c3d5 d7d6 c2c3 e8g8 c1e3 c5e3 d5e3 c8d7 f3d2 g8h7 c4d5 f6d5 e3d5 c6d4 c3d4 +info depth 27 seldepth 37 time 42562 nodes 797627276 nps 18740361 score cp 29 hashfull 150 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 a7a6 e1g1 h7h6 b1c3 f8c5 c3d5 d7d6 c2c3 e8g8 c1e3 c5e3 d5e3 c8d7 f3d2 g8h7 c4d5 f6d5 e3d5 c6d4 c3d4 +info depth 27 seldepth 37 time 42593 nodes 797833309 nps 18731559 score cp 28 hashfull 150 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 a7a6 e1g1 h7h6 b1c3 f8c5 c3d5 d7d6 c2c3 e8g8 c1e3 c5e3 d5e3 c8d7 f3d2 g8h7 c4d5 f6d5 e3d5 c6d4 c3d4 +info depth 28 seldepth 36 time 51497 nodes 917436480 nps 17815338 score cp 31 hashfull 180 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 28 seldepth 36 time 51528 nodes 925065935 nps 17952684 score cp 32 hashfull 180 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 28 seldepth 36 time 52085 nodes 935289221 nps 17956978 score cp 33 hashfull 180 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 28 seldepth 36 time 52331 nodes 946499919 nps 18086792 score cp 31 hashfull 190 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 28 seldepth 36 time 66312 nodes 1249354174 nps 18840544 score cp 30 hashfull 250 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 28 seldepth 36 time 66343 nodes 1251701678 nps 18867125 score cp 29 hashfull 250 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 28 seldepth 36 time 66711 nodes 1268847849 nps 19020069 score cp 28 hashfull 250 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 c6a5 f3e5 a5c4 e5c4 d7d5 e4d5 d8e7 c4e3 c8g4 d1d2 f6d5 e1g1 d5e3 d2e3 e7e3 c1e3 f8b4 b1c3 e8c8 e3a7 b4c3 b2c3 +info depth 29 seldepth 38 time 69322 nodes 1344372352 nps 19393155 score cp 28 hashfull 270 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 h7h6 e1g1 f8c5 c2c3 c5b6 b2b4 d7d6 c1b2 e8g8 b1d2 a7a6 h2h3 d6d5 e4d5 f6d5 f1e1 e5e4 c4d5 e4f3 d5c6 b7c6 d2f3 +info depth 29 seldepth 38 time 71503 nodes 1398828947 nps 19563220 score cp 27 hashfull 280 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 h7h6 e1g1 f8c5 c2c3 c5b6 b2b4 d7d6 c1b2 e8g8 b1d2 a7a6 h2h3 d6d5 e4d5 f6d5 f1e1 e5e4 c4d5 e4f3 d5c6 b7c6 d2f3 +info depth 29 seldepth 38 time 71856 nodes 1405867082 nps 19565061 score cp 35 hashfull 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g8f6 d2d3 h7h6 e1g1 f8c5 c2c3 c5b6 b2b4 d7d6 c1b2 e8g8 b1d2 a7a6 h2h3 d6d5 e4d5 f6d5 f1e1 e5e4 c4d5 e4f3 d5c6 b7c6 d2f3 +info depth 29 seldepth 38 time 110846 nodes 2219899822 nps 20026882 score cp 25 hashfull 450 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 h7h6 e1g1 f8c5 c2c3 c5b6 b2b4 d7d6 c1b2 e8g8 b1d2 a7a6 h2h3 d6d5 e4d5 f6d5 f1e1 e5e4 c4d5 e4f3 d5c6 b7c6 d2f3 +info depth 29 seldepth 38 time 115342 nodes 2304443544 nps 19979223 score cp 24 hashfull 470 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 h7h6 e1g1 f8c5 c2c3 c5b6 b2b4 d7d6 c1b2 e8g8 b1d2 a7a6 h2h3 d6d5 e4d5 f6d5 f1e1 e5e4 c4d5 e4f3 d5c6 b7c6 d2f3 +info depth 29 seldepth 38 time 115357 nodes 2306316956 nps 19992865 score cp 23 hashfull 470 pv e2e4 e7e5 g1f3 b8c6 f1c4 g8f6 d2d3 h7h6 e1g1 f8c5 c2c3 c5b6 b2b4 d7d6 c1b2 e8g8 b1d2 a7a6 h2h3 d6d5 e4d5 f6d5 f1e1 e5e4 c4d5 e4f3 d5c6 b7c6 d2f3 +info depth 29 seldepth 33 time 119639 nodes 2391469350 nps 19989044 score cp 27 hashfull 490 pv d2d4 e7e5 d4e5 f8b4 b1c3 b4c3 b2c3 g8e7 +info depth 30 seldepth 36 time 121027 nodes 2451723254 nps 20257655 score cp 19 hashfull 500 pv e2e4 e7e6 d2d4 d7d5 e4d5 e6d5 g1f3 b8c6 b1c3 g8e7 h2h3 c8e6 f1d3 g7g6 c1f4 a7a6 c3e2 f8g7 c2c3 e8g8 e1g1 f8e8 f1e1 e7f5 e2g3 h7h6 g3f5 e6f5 e1e8 d8e8 d3f5 +info depth 30 seldepth 41 time 124227 nodes 2519339512 nps 20280128 score cp 20 hashfull 510 pv e2e4 e7e6 b1c3 d7d5 d2d4 f8b4 g1e2 d5e4 a2a3 b4c3 e2c3 f7f5 c1f4 g8f6 c3b5 b8a6 f1c4 e8g8 e1g1 c8d7 b5c3 h7h6 f1e1 c7c5 c4a6 b7a6 d4c5 e4e3 f2e3 +info depth 30 seldepth 39 time 154575 nodes 3237752066 nps 20946156 score cp 29 hashfull 620 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 c7c6 e2e3 c6c5 a2a3 a7a6 c4d5 e6d5 f1d3 b8c6 e1g1 c5c4 d3c2 f8d6 e3e4 d5e4 c3e4 f6e4 c2e4 e8g8 f1e1 b7b5 e4c6 +info depth 30 seldepth 30 time 162900 nodes 3384433296 nps 20776140 score cp 28 hashfull 650 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 d5c4 e2e4 f8b4 c1g5 c7c5 d4c5 d8d1 a1d1 b8d7 g5d2 b4c5 f1c4 a7a6 a2a3 f6g4 e4e5 g4f2 +info depth 30 seldepth 30 time 165075 nodes 3422268596 nps 20731598 score cp 27 hashfull 650 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 d5c4 e2e4 f8b4 c1g5 c7c5 d4c5 d8d1 a1d1 b8d7 g5d2 b4c5 f1c4 a7a6 a2a3 f6g4 e4e5 g4f2 +info depth 30 seldepth 39 time 186083 nodes 3862578291 nps 20757287 score cp 28 hashfull 710 pv d2d4 g8f6 g1f3 d7d5 c2c4 d5c4 e2e3 c8e6 b1a3 c7c5 f1c4 e6c4 a3c4 c5d4 e3d4 e7e6 e1g1 b8c6 c1g5 f8e7 d1b3 e8g8 b3b7 a8c8 f1d1 c8c7 b7b3 h7h6 g5f6 e7f6 +info depth 31 seldepth 42 time 194540 nodes 4031714221 nps 20724345 score cp 29 hashfull 740 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 d5c4 e2e4 f8b4 d1c2 b7b5 a2a4 c7c6 c1d2 c8b7 e4e5 f6d5 a4b5 b4c3 b2c3 c6b5 f1e2 b8c6 e1g1 b5b4 c3b4 c6b4 d2b4 d5b4 c2c4 b7f3 g2f3 +info depth 31 seldepth 40 time 243613 nodes 5165933281 nps 21205491 score cp 28 hashfull 830 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 d5c4 e2e4 f8b4 d1c2 b7b5 a2a4 c7c6 c1d2 c8b7 e4e5 f6d5 a4b5 b4c3 b2c3 c6b5 f1e2 b8c6 e1g1 b5b4 c3b4 c6b4 d2b4 d5b4 c2c4 b7f3 g2f3 +info depth 31 seldepth 39 time 251458 nodes 5415175130 nps 21535107 score cp 29 hashfull 840 pv d2d4 d7d5 g1f3 g8f6 c2c4 e7e6 b1c3 a7a6 c4d5 e6d5 a2a3 f6e4 d1b3 e4c3 b3c3 f8d6 c1g5 f7f6 g5d2 c7c6 e2e3 c8f5 c3b3 d8e7 f1e2 e8g8 e1g1 f8e8 h2h3 b8d7 b3b7 +info depth 32 seldepth 41 time 255416 nodes 5515744346 nps 21595140 score cp 29 hashfull 850 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 a7a6 c4d5 e6d5 c1g5 f8b4 a1c1 b8c6 a2a3 b4c3 c1c3 h7h6 g5f6 d8f6 e2e3 e8g8 f1d3 f8e8 h2h3 c8d7 +info depth 32 seldepth 42 time 303563 nodes 6564828517 nps 21625917 score cp 28 hashfull 900 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 a7a6 c4d5 e6d5 c1g5 f8b4 a1c1 b8c6 a2a3 b4c3 c1c3 h7h6 g5f6 d8f6 e2e3 e8g8 f1d3 f8e8 h2h3 c8d7 +info depth 32 seldepth 42 time 312532 nodes 6766530066 nps 21650679 score cp 29 hashfull 900 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 a7a6 c4d5 e6d5 a2a3 f6e4 d1c2 e4c3 c2c3 b8c6 e2e3 g7g6 f1d3 h7h6 c1d2 f8g7 h2h3 e8g8 c3b3 f8e8 e1g1 c6e7 a1e1 +info depth 33 seldepth 42 time 315574 nodes 6917663128 nps 21920890 score cp 29 hashfull 910 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 a7a6 c4d5 e6d5 c1f4 c7c5 e2e3 b8c6 f1e2 c5c4 f3e5 c6e5 d4e5 c8d7 e5f6 +info depth 33 seldepth 44 time 366259 nodes 8045846169 nps 21967640 score cp 28 hashfull 930 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 a7a6 c4d5 e6d5 c1g5 f8b4 a1c1 b8c6 a2a3 b4c3 c1c3 h7h6 g5f6 d8f6 e2e3 e8g8 f1d3 f8e8 h2h3 c8d7 e1g1 d7f5 d3f5 f6f5 f1e1 +info depth 33 seldepth 43 time 452758 nodes 9384287168 nps 20726938 score cp 29 hashfull 950 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 h7h6 c1f4 f8b4 e2e3 e8g8 a2a3 b4c3 b2c3 b8c6 c4d5 e6d5 f1d3 f8e8 h2h3 f6e4 c3c4 c8f5 e1g1 e4c3 d1c2 f5d3 c2d3 c6b4 a3b4 +info depth 33 seldepth 44 time 458671 nodes 9609296940 nps 20950304 score cp 30 hashfull 950 pv d2d4 d7d5 c2c4 e7e6 b1c3 g8f6 g1f3 h7h6 c1f4 f8b4 e2e3 e8g8 a2a3 b4c3 b2c3 b8c6 c4d5 e6d5 f1d3 f8e8 h2h3 f6e4 c3c4 c8f5 e1g1 e4c3 d1c2 f5d3 c2d3 c6b4 a3b4 +info depth 34 seldepth 45 time 486106 nodes 10075028229 nps 20725990 score cp 29 hashfull 950 pv d2d4 d7d5 c2c4 d5c4 e2e3 c8e6 g1f3 c7c6 a2a4 g8f6 b1c3 b8a6 f3e5 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b8c6 e1g1 c8e6 c4e6 f7e6 d1b3 d8d7 b3b7 a8b8 b7a6 g8f6 b1d2 b8b6 a6c4 e6e5 b2b3 f8d6 c1b2 c6b4 a1d1 b6c6 c4e2 e8g8 f1e1 +info depth 35 seldepth 50 time 836448 nodes 18218683785 nps 21781011 score cp 28 hashfull 960 pv d2d4 d7d5 c2c4 d5c4 e2e4 e7e5 g1f3 e5d4 f1c4 b8c6 e1g1 c8e6 c4e6 f7e6 d1b3 d8d7 b3b7 a8b8 b7a6 g8f6 b1d2 b8b6 a6c4 e6e5 b2b3 f8d6 c1b2 c6b4 a1d1 b6c6 c4e2 e8g8 f1e1 +info depth 35 seldepth 50 time 837645 nodes 18263653270 nps 21803572 score cp 27 hashfull 960 pv d2d4 d7d5 c2c4 d5c4 e2e4 e7e5 g1f3 e5d4 f1c4 b8c6 e1g1 c8e6 c4e6 f7e6 d1b3 d8d7 b3b7 a8b8 b7a6 g8f6 b1d2 b8b6 a6c4 e6e5 b2b3 f8d6 c1b2 c6b4 a1d1 b6c6 c4e2 e8g8 f1e1 +info depth 35 seldepth 50 time 951183 nodes 21355585787 nps 22451605 score cp 26 hashfull 960 pv d2d4 d7d5 c2c4 d5c4 e2e4 e7e5 g1f3 e5d4 f1c4 b8c6 e1g1 c8e6 c4e6 f7e6 d1b3 d8d7 b3b7 a8b8 b7a6 g8f6 b1d2 b8b6 a6c4 e6e5 b2b3 f8d6 c1b2 c6b4 a1d1 b6c6 c4e2 e8g8 f1e1 +info depth 35 seldepth 50 time 957717 nodes 21494573009 nps 22443553 score cp 25 hashfull 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c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 24435 nodes 385455541 nps 15774730 score cp 29 hashfull 80 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 25347 nodes 403558385 nps 15921347 score cp 28 hashfull 80 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 25702 nodes 413811001 nps 16100342 score cp 29 hashfull 80 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 26272 nodes 425258830 nps 16186770 score cp 30 hashfull 90 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 26364 nodes 428286340 nps 16245119 score cp 31 hashfull 90 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 26671 nodes 440206584 nps 16505064 score cp 32 hashfull 90 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 25 seldepth 32 time 28144 nodes 476471179 nps 16929760 score cp 31 hashfull 100 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 c8f5 e1g1 f8e7 f1e1 e8g8 b1d2 e4d6 d3f5 d6f5 e1e5 f5h4 f3h4 e7h4 d2f1 +info depth 26 seldepth 35 time 30056 nodes 528275885 nps 17576386 score cp 36 hashfull 110 pv e2e4 c7c5 g1f3 b8c6 b1c3 e7e6 d2d4 c5d4 f3d4 f8b4 d4c6 b4c3 b2c3 b7c6 f1d3 g8f6 e4e5 f6d5 c1d2 d8a5 d1g4 e8g8 e1g1 d5c3 g4c4 a5e5 d2c3 +info depth 26 seldepth 35 time 31119 nodes 550154781 nps 17679063 score cp 30 hashfull 120 pv e2e4 c7c5 g1f3 b8c6 b1c3 e7e6 d2d4 c5d4 f3d4 f8b4 d4c6 b4c3 b2c3 b7c6 f1d3 g8f6 e4e5 f6d5 c1d2 d8a5 d1g4 e8g8 e1g1 d5c3 g4c4 a5e5 d2c3 +info depth 26 seldepth 35 time 31720 nodes 574557380 nps 18113410 score cp 29 hashfull 120 pv e2e4 c7c5 g1f3 b8c6 b1c3 e7e6 d2d4 c5d4 f3d4 f8b4 d4c6 b4c3 b2c3 b7c6 f1d3 g8f6 e4e5 f6d5 c1d2 d8a5 d1g4 e8g8 e1g1 d5c3 g4c4 a5e5 d2c3 +info depth 26 seldepth 35 time 33769 nodes 620235665 nps 18367013 score cp 28 hashfull 130 pv e2e4 c7c5 g1f3 b8c6 b1c3 e7e6 d2d4 c5d4 f3d4 f8b4 d4c6 b4c3 b2c3 b7c6 f1d3 g8f6 e4e5 f6d5 c1d2 d8a5 d1g4 e8g8 e1g1 d5c3 g4c4 a5e5 d2c3 +info depth 27 seldepth 37 time 34296 nodes 644047719 nps 18779091 score cp 29 hashfull 140 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 d2d4 d6d5 f1d3 f8b4 c2c3 b4d6 e1g1 e8g8 f1e1 f8e8 c3c4 c7c6 b1c3 e4c3 e1e8 d8e8 b2c3 e8e7 c4d5 c6d5 c1e3 +info depth 27 seldepth 34 time 42040 nodes 847233946 nps 20153043 score cp 30 hashfull 180 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 b1c3 e4c3 d2c3 b8c6 f1c4 f8e7 e1g1 e8g8 f1e1 c8f5 f3d4 c6d4 c3d4 d6d5 c4d5 e7b4 d5b7 b4e1 b7a8 d8a8 d1e1 f5c2 +info depth 27 seldepth 34 time 42179 nodes 851664164 nps 20191663 score cp 29 hashfull 180 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 b1c3 e4c3 d2c3 b8c6 f1c4 f8e7 e1g1 e8g8 f1e1 c8f5 f3d4 c6d4 c3d4 d6d5 c4d5 e7b4 d5b7 b4e1 b7a8 d8a8 d1e1 f5c2 +info depth 27 seldepth 34 time 42226 nodes 852969304 nps 20200097 score cp 28 hashfull 180 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 b1c3 e4c3 d2c3 b8c6 f1c4 f8e7 e1g1 e8g8 f1e1 c8f5 f3d4 c6d4 c3d4 d6d5 c4d5 e7b4 d5b7 b4e1 b7a8 d8a8 d1e1 f5c2 +info depth 27 seldepth 35 time 42689 nodes 861166674 nps 20173034 score cp 29 hashfull 190 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 b1c3 e4c3 d2c3 b8c6 f1c4 f8e7 e1g1 e8g8 f1e1 c8f5 f3d4 c6d4 c3d4 d6d5 c4d5 e7b4 d5b7 b4e1 b7a8 d8a8 d1e1 f5c2 +info depth 27 seldepth 35 time 44840 nodes 908023421 nps 20250299 score cp 28 hashfull 200 pv e2e4 e7e5 g1f3 g8f6 f3e5 d7d6 e5f3 f6e4 b1c3 e4c3 d2c3 b8c6 f1c4 f8e7 e1g1 e8g8 f1e1 c8f5 f3d4 c6d4 c3d4 d6d5 c4d5 e7b4 d5b7 b4e1 b7a8 d8a8 d1e1 f5c2 +info 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d4b3 a5c3 a1c1 f8e8 c1c3 +info depth 36 seldepth 47 time 1721833 nodes 48254328227 nps 28024975 score cp 29 hashfull 1000 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 d5c4 e2e4 f8b4 c1g5 c7c5 f1c4 c5d4 f3d4 b8d7 e1g1 b4c3 b2c3 d8a5 g5f6 d7f6 f1e1 e8g8 e4e5 f6d5 d4b3 a5c3 a1c1 f8e8 c1c3 +info depth 36 seldepth 47 time 1740200 nodes 48599500303 nps 27927537 score cp 30 hashfull 1000 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 d5c4 e2e4 f8b4 c1g5 c7c5 f1c4 c5d4 f3d4 b8d7 e1g1 b4c3 b2c3 d8a5 g5f6 d7f6 f1e1 e8g8 e4e5 f6d5 d4b3 a5c3 a1c1 f8e8 c1c3 +info depth 36 seldepth 47 time 1748253 nodes 48697256788 nps 27854810 score cp 28 hashfull 1000 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 d5c4 e2e4 f8b4 c1g5 c7c5 f1c4 c5d4 f3d4 b8d7 e1g1 b4c3 b2c3 d8a5 g5f6 d7f6 f1e1 e8g8 e4e5 f6d5 d4b3 a5c3 a1c1 f8e8 c1c3 +info depth 36 seldepth 47 time 1811782 nodes 50488407258 nps 27866712 score cp 27 hashfull 1000 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 d5c4 e2e4 f8b4 c1g5 c7c5 f1c4 c5d4 f3d4 b8d7 e1g1 b4c3 b2c3 d8a5 g5f6 d7f6 f1e1 e8g8 e4e5 f6d5 d4b3 a5c3 a1c1 f8e8 c1c3 +info depth 36 seldepth 47 time 1884197 nodes 52408150885 nps 27814581 score cp 26 hashfull 1000 pv d2d4 d7d5 c2c4 e7e6 g1f3 g8f6 b1c3 d5c4 e2e4 f8b4 c1g5 c7c5 f1c4 c5d4 f3d4 b8d7 e1g1 b4c3 b2c3 d8a5 g5f6 d7f6 f1e1 e8g8 e4e5 f6d5 d4b3 a5c3 a1c1 f8e8 c1c3 diff --git a/Sources/Search/src/bagaturchess/search/impl/env/MemoryConsumers.java b/Sources/Search/src/bagaturchess/search/impl/env/MemoryConsumers.java index 05210e49f..4dc0bb49e 100644 --- a/Sources/Search/src/bagaturchess/search/impl/env/MemoryConsumers.java +++ b/Sources/Search/src/bagaturchess/search/impl/env/MemoryConsumers.java @@ -16,7 +16,6 @@ import bagaturchess.search.impl.eval.cache.IEvalCache; import bagaturchess.search.impl.tpt.ITTable; import bagaturchess.search.impl.tpt.TTable_Impl2; -import bagaturchess.search.impl.tpt.TTable_StaticArrays; import bagaturchess.uci.api.ChannelManager; import bagaturchess.uci.api.IChannel; diff --git a/Sources/Search/src/bagaturchess/search/impl/tpt/TTable_StaticArrays.java b/Sources/Search/src/bagaturchess/search/impl/tpt/TTable_StaticArrays.java deleted file mode 100644 index 773c9daa4..000000000 --- a/Sources/Search/src/bagaturchess/search/impl/tpt/TTable_StaticArrays.java +++ /dev/null @@ -1,353 +0,0 @@ -/* - * BagaturChess (UCI chess engine and tools) - * Copyright (C) 2005 Krasimir I. Topchiyski (k_topchiyski@yahoo.com) - * - * Open Source project location: http://sourceforge.net/projects/bagaturchess/develop - * SVN repository https://bagaturchess.svn.sourceforge.net/svnroot/bagaturchess - * - * This file is part of BagaturChess program. - * - * BagaturChess is open software: you can redistribute it and/or modify - * it under the terms of the Eclipse Public License version 1.0 as published by - * the Eclipse Foundation. - * - * BagaturChess is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * Eclipse Public License for more details. - * - * You should have received a copy of the Eclipse Public License version 1.0 - * along with BagaturChess. If not, see . - * - */ -package bagaturchess.search.impl.tpt; - - -import bagaturchess.bitboard.impl1.internal.Assert; -import bagaturchess.bitboard.impl1.internal.EngineConstants; -import bagaturchess.bitboard.impl1.internal.Util; -import bagaturchess.search.impl.alg.SearchUtils; -import bagaturchess.search.impl.utils.DEBUGSearch; -import bagaturchess.uci.api.ChannelManager; - - -public final class TTable_StaticArrays implements ITTable { - - - private static final int FLAG = 12; - private static final int MOVE = 14; - private static final int SCORE = 48; - - - private static long[] keys; - - private static long[] values; - - private static long counter_usage; - - private static long counter_tries; - - private static long counter_hits; - - private static TTable_StaticArrays instance; - - - private TTable_StaticArrays() { - - //Do nothing - } - - - public static final ITTable getInstance(long size_in_bytes) { - - - if (instance == null) { - - instance = new TTable_StaticArrays(); - } - - - init(size_in_bytes); - - - return instance; - } - - - private static final void init(long size_in_bytes) { - - - /*if (keys != null && values != null) { - - if (ChannelManager.getChannel() != null) ChannelManager.getChannel().dump("TTable_StaticArrays: Arrays are already initialized!"); - }*/ - - - //Clear references, so GC can free up the memory. - keys = null; - - values = null; - - - counter_usage = 0; - - counter_tries = 0; - - counter_hits = 0; - - - if (ChannelManager.getChannel() != null) ChannelManager.getChannel().dump("TTable_StaticArrays: bytes_count=" + size_in_bytes); - - long maxEntries = size_in_bytes / 16; //two longs per entry and one long has 8 bytes: 2 * 8 = 16 - - if (maxEntries > 1073741823) { //1073741823 = 2^30 - 1 (should work on 32 and 64 bits), 2147483647 = 2^31 - 1 (should work on 64 bits only) - maxEntries = 1073741823; - if (ChannelManager.getChannel() != null) ChannelManager.getChannel().dump("TTable_StaticArrays: limited to " + 1073741823 + " entries."); - } - - maxEntries = maxEntries + maxEntries % 4; - - if (ChannelManager.getChannel() != null) ChannelManager.getChannel().dump("TTable_StaticArrays: maxEntries=" + maxEntries); - - keys = new long[(int) maxEntries]; - - values = new long[(int) maxEntries]; - } - - - @Override - public final int getUsage() { - - return (int) (counter_usage * 100 / keys.length); - } - - - @Override - public final int getHitRate() { - - if (counter_tries == 0) return 0; - - return (int) (counter_hits * 100 / counter_tries); - } - - - @Override - public final void correctAllDepths(final int reduction) { - - //Do nothing - } - - - @Override - public final void get(long key, ITTEntry entry) { - - counter_tries++; - - if (counter_tries % 100000000 == 0) { - - if (ChannelManager.getChannel() != null) { - - if (DEBUGSearch.DEBUG_MODE) ChannelManager.getChannel().dump( - "TTable_StaticArrays.get: TableID=" + this.hashCode() + - ", HitRate=" + getHitRate() + - "%, Usage=" + getUsage() + "%"); - } - } - - - //TODO: Consider!!! - entry.setIsEmpty(true); - - - long value = getTTValue(key); - - if (value != 0) { - - entry.setIsEmpty(false); - - entry.setDepth(getDepth(value)); - entry.setFlag(getFlag(value)); - entry.setEval(getScore(value)); - entry.setBestMove(getMove(value)); - } - } - - - @Override - public final void put(long hashkey, int depth, int eval, int alpha, int beta, int bestmove) { - - if (SearchUtils.isMateVal(eval)) { - - return; - } - - int flag = ITTEntry.FLAG_EXACT; - - if (eval >= beta) { - - flag = ITTEntry.FLAG_LOWER; - - } else if (eval <= alpha) { - - flag = ITTEntry.FLAG_UPPER; - } - - addValue(hashkey, eval, depth, flag, bestmove); - } - - - private static final long getTTValue(final long key) { - - final int index = getIndex(key); - - for (int i = 0; i < 4; i++) { - - long stored_key = keys[index + i]; - - long stored_value = values[index + i]; - - if ((stored_key ^ stored_value) == key) { - - counter_hits++; - - return stored_value; - } - } - - return 0; - } - - - private static final void addValue(final long new_key, int score, final int new_depth, final int flag, final int new_move) { - - if (EngineConstants.ASSERT) { - - Assert.isTrue(new_depth >= 0); - //Assert.isTrue(move != 0); - Assert.isTrue(score >= Util.SHORT_MIN && score <= Util.SHORT_MAX); - //Assert.isTrue(MoveUtil.getSourcePieceIndex(move) != 0); - } - - final long new_value = createValue(score, new_move, flag, new_depth); - - final int start_index = getIndex(new_key); - - int replaced_min_depth = Integer.MAX_VALUE; - int replaced_index = -1; - - for (int i = start_index; i < start_index + 4; i++) { - - long stored_key = keys[i]; - - if (stored_key == 0) { - - replaced_min_depth = 0; - replaced_index = i; - counter_usage++; - - break; - } - - long stored_value = values[i]; - - int stored_depth = getDepth(stored_value); - - if ((stored_key ^ stored_value) == new_key) { - - //Minimize writes in the shared static arrays, because in multi-threaded case it impacts performance. - if (new_value == stored_value) { - - return; - } - - if (new_depth >= stored_depth) { - - replaced_min_depth = stored_depth; - - replaced_index = i; - - break; - - } else { - - return; - } - } - - // keep the lowest depth and its index - if (stored_depth < replaced_min_depth) { - - replaced_min_depth = stored_depth; - - replaced_index = i; - } - } - - if (EngineConstants.ASSERT) { - - Assert.isTrue(score >= Util.SHORT_MIN && score <= Util.SHORT_MAX); - } - - if (replaced_index == -1) { - - throw new IllegalStateException(); - } - - keys[replaced_index] = new_key ^ new_value; - values[replaced_index] = new_value; - } - - - private static final int getIndex(final long key) { - - long index = (int) (key ^ (key >>> 32)); - - if (index < 0) { - - index = -index; - } - - index = index % (keys.length - 3); - - index = 4 * (index / 4); - - return (int) index; - } - - - private static final int getScore(final long value) { - - int score = (int) (value >> SCORE); - - if (EngineConstants.ASSERT) { - Assert.isTrue(score >= Util.SHORT_MIN && score <= Util.SHORT_MAX); - } - - return score; - } - - - private static final int getDepth(final long value) { - return (int) (value & 0xff); - } - - - private static final int getFlag(final long value) { - return (int) (value >>> FLAG & 3); - } - - - private static final int getMove(final long value) { - return (int) (value >>> MOVE & 0x3fffff); - } - - - // SCORE,HALF_MOVE_COUNTER,MOVE,FLAG,DEPTH - private static final long createValue(final long score, final long move, final long flag, final long depth) { - if (EngineConstants.ASSERT) { - Assert.isTrue(score >= Util.SHORT_MIN && score <= Util.SHORT_MAX); - Assert.isTrue(depth <= 255); - } - return score << SCORE | move << MOVE | flag << FLAG | depth; - } -}