New engine releases & news H1 2025

[Gabor Szots]

New engine: Prelude 1.0

https://github.com/Quinniboi10/Prelude

[Gabor Szots]

New engine: Schneckbert by Nikolas Windheuser, Germany.

https://github.com/CommanderKugel/Schneckbert

[erashid]

I uploaded the new DON Chess Engine executables
This time it has Fix for Load error also.
Including the GUI (Fritz 19, Scid and others)
and some major updates.


here are the links:

DON 3.1 x64 AVX2.exe
https://pixeldrain.com/u/WoMCtC3H

DON 3.1 x64 BMI2.exe
https://pixeldrain.com/u/ckpkLgT9


try and let me know if it works

Thanks
Ehsan Rashid

[erashid]

I uploaded the new DON Chess Engine executables
This time it has Fix for Load error also.
Including the GUI (Fritz 19, Scid and others)
and some major updates.


here are the links:

DON 3.1 x64 AVX2.exe
https://pixeldrain.com/u/WoMCtC3H

DON 3.1 x64 BMI2.exe
https://pixeldrain.com/u/ckpkLgT9


try and let me know if it works

Thanks
Ehsan Rashid

[Norm Pollock]

Hi all,

I released a tool "epdFaux" in my 40H-EPD-2025 package of "epd" tools.

"epdFaux" removes all "faux" (false, fake, spurious) en passant notations in an "epd" file.
This includes "faux" notations due to (1) lack of opponent pawn to make the capture; (2) opponent's capturing pawn pinned to its own king which prevents the capture; and (3) the two-space pawn move uncovering a discovered check on the opponent's king preventing an ep capture.

Links below.
Norm Pollock

[Norm Pollock]

An addendum to my prior post:

According to epd rules, an ep notation should be there even though it serves no purpose and can cause incorrect results when using computer processing. I understand it is the "rule", but this tool is for anyone who wants to circumvent the rule because of its side effects.

An irrelevant faux ep notation causes 2 otherwise identical epd records (one with the ep notation, and one without) to be considered different positions. This affects 3-peat detection using epd records. It affects searching, sorting and matching epd records.

[Gabor Szots]

I uploaded the new DON Chess Engine executables
This time it has Fix for Load error also.
Including the GUI (Fritz 19, Scid and others)
and some major updates.


here are the links:

DON 3.1 x64 AVX2.exe
https://pixeldrain.com/u/WoMCtC3H

DON 3.1 x64 BMI2.exe
https://pixeldrain.com/u/ckpkLgT9


try and let me know if it works

Thanks
Ehsan Rashid

There is a H1 2025 thread for fresh updates.

[alvinypeng]

Chessidle 1.0.0



https://github.com/alvinypeng/chessidle ... /tag/1.0.0

[Alexlaw1964]

Hola Andrés! Decepcionante que hayas eliminado el uso del libro. Puedo entender que sea difícil portarlo al nuevo Delphi. Será posible que implementes el Polyglot book? Gracias por tu atención

Code: Select all

unit Book;

interface
uses Dialogs,//ShowMessage
SysUtils,// необходимый модуль для FileRead;
Classes; // необходимый модуль для TStringList;
function hash(const fen: string): UInt64;
function PolyglotKey(const APosition: string): UInt64;
function BestMove(const AKey: UInt64; const ABookName: TFileName): string; overload;
function BestMove(const APosition: string; const ABookName: TFileName): string; overload;
implementation

//uses VisualBoard, TypesChess;
{
 * This little proof of concept utility for educational purposes 
 * computes the Polyglot key of a fen.
 *
 * For brevity this code does ZERO error checking and will
 * unceremoniously segfault in case of an illegal fen.
 *
 * This code is released in the public domain by Michel Van den Bergh.
 * The array Random64 is taken from the Polyglot source code. 
 * I am pretty sure that a table of random numbers is never protected
 * by copyright.
 *
}
const
Random64: array[0..780] of UiNT64 = (
    $9D39247E33776D41, $2AF7398005AAA5C7, $44DB015024623547, $9C15F73E62A76AE2,
    $75834465489C0C89, $3290AC3A203001BF, $0FBBAD1F61042279, $E83A908FF2FB60CA,
    $0D7E765D58755C10, $1A083822CEAFE02D, $9605D5F0E25EC3B0, $D021FF5CD13A2ED5,
    $40BDF15D4A672E32, $011355146FD56395, $5DB4832046F3D9E5, $239F8B2D7FF719CC,
    $05D1A1AE85B49AA1, $679F848F6E8FC971, $7449BBFF801FED0B, $7D11CDB1C3B7ADF0,
    $82C7709E781EB7CC, $F3218F1C9510786C, $331478F3AF51BBE6, $4BB38DE5E7219443,
    $AA649C6EBCFD50FC, $8DBD98A352AFD40B, $87D2074B81D79217, $19F3C751D3E92AE1,
    $B4AB30F062B19ABF, $7B0500AC42047AC4, $C9452CA81A09D85D, $24AA6C514DA27500,
    $4C9F34427501B447, $14A68FD73C910841, $A71B9B83461CBD93, $03488B95B0F1850F,
    $637B2B34FF93C040, $09D1BC9A3DD90A94, $3575668334A1DD3B, $735E2B97A4C45A23,
    $18727070F1BD400B, $1FCBACD259BF02E7, $D310A7C2CE9B6555, $BF983FE0FE5D8244,
    $9F74D14F7454A824, $51EBDC4AB9BA3035, $5C82C505DB9AB0FA, $FCF7FE8A3430B241,
    $3253A729B9BA3DDE, $8C74C368081B3075, $B9BC6C87167C33E7, $7EF48F2B83024E20,
    $11D505D4C351BD7F, $6568FCA92C76A243, $4DE0B0F40F32A7B8, $96D693460CC37E5D,
    $42E240CB63689F2F, $6D2BDCDAE2919661, $42880B0236E4D951, $5F0F4A5898171BB6,
    $39F890F579F92F88, $93C5B5F47356388B, $63DC359D8D231B78, $EC16CA8AEA98AD76,
    $5355F900C2A82DC7, $07FB9F855A997142, $5093417AA8A7ED5E, $7BCBC38DA25A7F3C,
    $19FC8A768CF4B6D4, $637A7780DECFC0D9, $8249A47AEE0E41F7, $79AD695501E7D1E8,
    $14ACBAF4777D5776, $F145B6BECCDEA195, $DABF2AC8201752FC, $24C3C94DF9C8D3F6,
    $BB6E2924F03912EA, $0CE26C0B95C980D9, $A49CD132BFBF7CC4, $E99D662AF4243939,
    $27E6AD7891165C3F, $8535F040B9744FF1, $54B3F4FA5F40D873, $72B12C32127FED2B,
    $EE954D3C7B411F47, $9A85AC909A24EAA1, $70AC4CD9F04F21F5, $F9B89D3E99A075C2,
    $87B3E2B2B5C907B1, $A366E5B8C54F48B8, $AE4A9346CC3F7CF2, $1920C04D47267BBD,
    $87BF02C6B49E2AE9, $092237AC237F3859, $FF07F64EF8ED14D0, $8DE8DCA9F03CC54E,
    $9C1633264DB49C89, $B3F22C3D0B0B38ED, $390E5FB44D01144B, $5BFEA5B4712768E9,
    $1E1032911FA78984, $9A74ACB964E78CB3, $4F80F7A035DAFB04, $6304D09A0B3738C4,
    $2171E64683023A08, $5B9B63EB9CEFF80C, $506AACF489889342, $1881AFC9A3A701D6,
    $6503080440750644, $DFD395339CDBF4A7, $EF927DBCF00C20F2, $7B32F7D1E03680EC,
    $B9FD7620E7316243, $05A7E8A57DB91B77, $B5889C6E15630A75, $4A750A09CE9573F7,
    $CF464CEC899A2F8A, $F538639CE705B824, $3C79A0FF5580EF7F, $EDE6C87F8477609D,
    $799E81F05BC93F31, $86536B8CF3428A8C, $97D7374C60087B73, $A246637CFF328532,
    $043FCAE60CC0EBA0, $920E449535DD359E, $70EB093B15B290CC, $73A1921916591CBD,
    $56436C9FE1A1AA8D, $EFAC4B70633B8F81, $BB215798D45DF7AF, $45F20042F24F1768,
    $930F80F4E8EB7462, $FF6712FFCFD75EA1, $AE623FD67468AA70, $DD2C5BC84BC8D8FC,
    $7EED120D54CF2DD9, $22FE545401165F1C, $C91800E98FB99929, $808BD68E6AC10365,
    $DEC468145B7605F6, $1BEDE3A3AEF53302, $43539603D6C55602, $AA969B5C691CCB7A,
    $A87832D392EFEE56, $65942C7B3C7E11AE, $DED2D633CAD004F6, $21F08570F420E565,
    $B415938D7DA94E3C, $91B859E59ECB6350, $10CFF333E0ED804A, $28AED140BE0BB7DD,
    $C5CC1D89724FA456, $5648F680F11A2741, $2D255069F0B7DAB3, $9BC5A38EF729ABD4,
    $EF2F054308F6A2BC, $AF2042F5CC5C2858, $480412BAB7F5BE2A, $AEF3AF4A563DFE43,
    $19AFE59AE451497F, $52593803DFF1E840, $F4F076E65F2CE6F0, $11379625747D5AF3,
    $BCE5D2248682C115, $9DA4243DE836994F, $066F70B33FE09017, $4DC4DE189B671A1C,
    $51039AB7712457C3, $C07A3F80C31FB4B4, $B46EE9C5E64A6E7C, $B3819A42ABE61C87,
    $21A007933A522A20, $2DF16F761598AA4F, $763C4A1371B368FD, $F793C46702E086A0,
    $D7288E012AEB8D31, $DE336A2A4BC1C44B, $0BF692B38D079F23, $2C604A7A177326B3,
    $4850E73E03EB6064, $CFC447F1E53C8E1B, $B05CA3F564268D99, $9AE182C8BC9474E8,
    $A4FC4BD4FC5558CA, $E755178D58FC4E76, $69B97DB1A4C03DFE, $F9B5B7C4ACC67C96,
    $FC6A82D64B8655FB, $9C684CB6C4D24417, $8EC97D2917456ED0, $6703DF9D2924E97E,
    $C547F57E42A7444E, $78E37644E7CAD29E, $FE9A44E9362F05FA, $08BD35CC38336615,
    $9315E5EB3A129ACE, $94061B871E04DF75, $DF1D9F9D784BA010, $3BBA57B68871B59D,
    $D2B7ADEEDED1F73F, $F7A255D83BC373F8, $D7F4F2448C0CEB81, $D95BE88CD210FFA7,
    $336F52F8FF4728E7, $A74049DAC312AC71, $A2F61BB6E437FDB5, $4F2A5CB07F6A35B3,
    $87D380BDA5BF7859, $16B9F7E06C453A21, $7BA2484C8A0FD54E, $F3A678CAD9A2E38C,
    $39B0BF7DDE437BA2, $FCAF55C1BF8A4424, $18FCF680573FA594, $4C0563B89F495AC3,
    $40E087931A00930D, $8CFFA9412EB642C1, $68CA39053261169F, $7A1EE967D27579E2,
    $9D1D60E5076F5B6F, $3810E399B6F65BA2, $32095B6D4AB5F9B1, $35CAB62109DD038A,
    $A90B24499FCFAFB1, $77A225A07CC2C6BD, $513E5E634C70E331, $4361C0CA3F692F12,
    $D941ACA44B20A45B, $528F7C8602C5807B, $52AB92BEB9613989, $9D1DFA2EFC557F73,
    $722FF175F572C348, $1D1260A51107FE97, $7A249A57EC0C9BA2, $04208FE9E8F7F2D6,
    $5A110C6058B920A0, $0CD9A497658A5698, $56FD23C8F9715A4C, $284C847B9D887AAE,
    $04FEABFBBDB619CB, $742E1E651C60BA83, $9A9632E65904AD3C, $881B82A13B51B9E2,
    $506E6744CD974924, $B0183DB56FFC6A79, $0ED9B915C66ED37E, $5E11E86D5873D484,
    $F678647E3519AC6E, $1B85D488D0F20CC5, $DAB9FE6525D89021, $0D151D86ADB73615,
    $A865A54EDCC0F019, $93C42566AEF98FFB, $99E7AFEABE000731, $48CBFF086DDF285A,
    $7F9B6AF1EBF78BAF, $58627E1A149BBA21, $2CD16E2ABD791E33, $D363EFF5F0977996,
    $0CE2A38C344A6EED, $1A804AADB9CFA741, $907F30421D78C5DE, $501F65EDB3034D07,
    $37624AE5A48FA6E9, $957BAF61700CFF4E, $3A6C27934E31188A, $D49503536ABCA345,
    $088E049589C432E0, $F943AEE7FEBF21B8, $6C3B8E3E336139D3, $364F6FFA464EE52E,
    $D60F6DCEDC314222, $56963B0DCA418FC0, $16F50EDF91E513AF, $EF1955914B609F93,
    $565601C0364E3228, $ECB53939887E8175, $BAC7A9A18531294B, $B344C470397BBA52,
    $65D34954DAF3CEBD, $B4B81B3FA97511E2, $B422061193D6F6A7, $071582401C38434D,
    $7A13F18BBEDC4FF5, $BC4097B116C524D2, $59B97885E2F2EA28, $99170A5DC3115544,
    $6F423357E7C6A9F9, $325928EE6E6F8794, $D0E4366228B03343, $565C31F7DE89EA27,
    $30F5611484119414, $D873DB391292ED4F, $7BD94E1D8E17DEBC, $C7D9F16864A76E94,
    $947AE053EE56E63C, $C8C93882F9475F5F, $3A9BF55BA91F81CA, $D9A11FBB3D9808E4,
    $0FD22063EDC29FCA, $B3F256D8ACA0B0B9, $B03031A8B4516E84, $35DD37D5871448AF,
    $E9F6082B05542E4E, $EBFAFA33D7254B59, $9255ABB50D532280, $B9AB4CE57F2D34F3,
    $693501D628297551, $C62C58F97DD949BF, $CD454F8F19C5126A, $BBE83F4ECC2BDECB,
    $DC842B7E2819E230, $BA89142E007503B8, $A3BC941D0A5061CB, $E9F6760E32CD8021,
    $09C7E552BC76492F, $852F54934DA55CC9, $8107FCCF064FCF56, $098954D51FFF6580,
    $23B70EDB1955C4BF, $C330DE426430F69D, $4715ED43E8A45C0A, $A8D7E4DAB780A08D,
    $0572B974F03CE0BB, $B57D2E985E1419C7, $E8D9ECBE2CF3D73F, $2FE4B17170E59750,
    $11317BA87905E790, $7FBF21EC8A1F45EC, $1725CABFCB045B00, $964E915CD5E2B207,
    $3E2B8BCBF016D66D, $BE7444E39328A0AC, $F85B2B4FBCDE44B7, $49353FEA39BA63B1,
    $1DD01AAFCD53486A, $1FCA8A92FD719F85, $FC7C95D827357AFA, $18A6A990C8B35EBD,
    $CCCB7005C6B9C28D, $3BDBB92C43B17F26, $AA70B5B4F89695A2, $E94C39A54A98307F,
    $B7A0B174CFF6F36E, $D4DBA84729AF48AD, $2E18BC1AD9704A68, $2DE0966DAF2F8B1C,
    $B9C11D5B1E43A07E, $64972D68DEE33360, $94628D38D0C20584, $DBC0D2B6AB90A559,
    $D2733C4335C6A72F, $7E75D99D94A70F4D, $6CED1983376FA72B, $97FCAACBF030BC24,
    $7B77497B32503B12, $8547EDDFB81CCB94, $79999CDFF70902CB, $CFFE1939438E9B24,
    $829626E3892D95D7, $92FAE24291F2B3F1, $63E22C147B9C3403, $C678B6D860284A1C,
    $5873888850659AE7, $0981DCD296A8736D, $9F65789A6509A440, $9FF38FED72E9052F,
    $E479EE5B9930578C, $E7F28ECD2D49EECD, $56C074A581EA17FE, $5544F7D774B14AEF,
    $7B3F0195FC6F290F, $12153635B2C0CF57, $7F5126DBBA5E0CA7, $7A76956C3EAFB413,
    $3D5774A11D31AB39, $8A1B083821F40CB4, $7B4A38E32537DF62, $950113646D1D6E03,
    $4DA8979A0041E8A9, $3BC36E078F7515D7, $5D0A12F27AD310D1, $7F9D1A2E1EBE1327,
    $DA3A361B1C5157B1, $DCDD7D20903D0C25, $36833336D068F707, $CE68341F79893389,
    $AB9090168DD05F34, $43954B3252DC25E5, $B438C2B67F98E5E9, $10DCD78E3851A492,
    $DBC27AB5447822BF, $9B3CDB65F82CA382, $B67B7896167B4C84, $BFCED1B0048EAC50,
    $A9119B60369FFEBD, $1FFF7AC80904BF45, $AC12FB171817EEE7, $AF08DA9177DDA93D,
    $1B0CAB936E65C744, $B559EB1D04E5E932, $C37B45B3F8D6F2BA, $C3A9DC228CAAC9E9,
    $F3B8B6675A6507FF, $9FC477DE4ED681DA, $67378D8ECCEF96CB, $6DD856D94D259236,
    $A319CE15B0B4DB31, $073973751F12DD5E, $8A8E849EB32781A5, $E1925C71285279F5,
    $74C04BF1790C0EFE, $4DDA48153C94938A, $9D266D6A1CC0542C, $7440FB816508C4FE,
    $13328503DF48229F, $D6BF7BAEE43CAC40, $4838D65F6EF6748F, $1E152328F3318DEA,
    $8F8419A348F296BF, $72C8834A5957B511, $D7A023A73260B45C, $94EBC8ABCFB56DAE,
    $9FC10D0F989993E0, $DE68A2355B93CAE6, $A44CFE79AE538BBE, $9D1D84FCCE371425,
    $51D2B1AB2DDFB636, $2FD7E4B9E72CD38C, $65CA5B96B7552210, $DD69A0D8AB3B546D,
    $604D51B25FBF70E2, $73AA8A564FB7AC9E, $1A8C1E992B941148, $AAC40A2703D9BEA0,
    $764DBEAE7FA4F3A6, $1E99B96E70A9BE8B, $2C5E9DEB57EF4743, $3A938FEE32D29981,
    $26E6DB8FFDF5ADFE, $469356C504EC9F9D, $C8763C5B08D1908C, $3F6C6AF859D80055,
    $7F7CC39420A3A545, $9BFB227EBDF4C5CE, $89039D79D6FC5C5C, $8FE88B57305E2AB6,
    $A09E8C8C35AB96DE, $FA7E393983325753, $D6B6D0ECC617C699, $DFEA21EA9E7557E3,
    $B67C1FA481680AF8, $CA1E3785A9E724E5, $1CFC8BED0D681639, $D18D8549D140CAEA,
    $4ED0FE7E9DC91335, $E4DBF0634473F5D2, $1761F93A44D5AEFE, $53898E4C3910DA55,
    $734DE8181F6EC39A, $2680B122BAA28D97, $298AF231C85BAFAB, $7983EED3740847D5,
    $66C1A2A1A60CD889, $9E17E49642A3E4C1, $EDB454E7BADC0805, $50B704CAB602C329,
    $4CC317FB9CDDD023, $66B4835D9EAFEA22, $219B97E26FFC81BD, $261E4E4C0A333A9D,
    $1FE2CCA76517DB90, $D7504DFA8816EDBB, $B9571FA04DC089C8, $1DDC0325259B27DE,
    $CF3F4688801EB9AA, $F4F5D05C10CAB243, $38B6525C21A42B0E, $36F60E2BA4FA6800,
    $EB3593803173E0CE, $9C4CD6257C5A3603, $AF0C317D32ADAA8A, $258E5A80C7204C4B,
    $8B889D624D44885D, $F4D14597E660F855, $D4347F66EC8941C3, $E699ED85B0DFB40D,
    $2472F6207C2D0484, $C2A1E7B5B459AEB5, $AB4F6451CC1D45EC, $63767572AE3D6174,
    $A59E0BD101731A28, $116D0016CB948F09, $2CF9C8CA052F6E9F, $0B090A7560A968E3,
    $ABEEDDB2DDE06FF1, $58EFC10B06A2068D, $C6E57A78FBD986E0, $2EAB8CA63CE802D7,
    $14A195640116F336, $7C0828DD624EC390, $D74BBE77E6116AC7, $804456AF10F5FB53,
    $EBE9EA2ADF4321C7, $03219A39EE587A30, $49787FEF17AF9924, $A1E9300CD8520548,
    $5B45E522E4B1B4EF, $B49C3B3995091A36, $D4490AD526F14431, $12A8F216AF9418C2,
    $001F837CC7350524, $1877B51E57A764D5, $A2853B80F17F58EE, $993E1DE72D36D310,
    $B3598080CE64A656, $252F59CF0D9F04BB, $D23C8E176D113600, $1BDA0492E7E4586E,
    $21E0BD5026C619BF, $3B097ADAF088F94E, $8D14DEDB30BE846E, $F95CFFA23AF5F6F4,
    $3871700761B3F743, $CA672B91E9E4FA16, $64C8E531BFF53B55, $241260ED4AD1E87D,
    $106C09B972D2E822, $7FBA195410E5CA30, $7884D9BC6CB569D8, $0647DFEDCD894A29,
    $63573FF03E224774, $4FC8E9560F91B123, $1DB956E450275779, $B8D91274B9E9D4FB,
    $A2EBEE47E2FBFCE1, $D9F1F30CCD97FB09, $EFED53D75FD64E6B, $2E6D02C36017F67F,
    $A9AA4D20DB084E9B, $B64BE8D8B25396C1, $70CB6AF7C2D5BCF0, $98F076A4F7A2322E,
    $BF84470805E69B5F, $94C3251F06F90CF3, $3E003E616A6591E9, $B925A6CD0421AFF3,
    $61BDD1307C66E300, $BF8D5108E27E0D48, $240AB57A8B888B20, $FC87614BAF287E07,
    $EF02CDD06FFDB432, $A1082C0466DF6C0A, $8215E577001332C8, $D39BB9C3A48DB6CF,
    $2738259634305C14, $61CF4F94C97DF93D, $1B6BACA2AE4E125B, $758F450C88572E0B,
    $959F587D507A8359, $B063E962E045F54D, $60E8ED72C0DFF5D1, $7B64978555326F9F,
    $FD080D236DA814BA, $8C90FD9B083F4558, $106F72FE81E2C590, $7976033A39F7D952,
    $A4EC0132764CA04B, $733EA705FAE4FA77, $B4D8F77BC3E56167, $9E21F4F903B33FD9,
    $9D765E419FB69F6D, $D30C088BA61EA5EF, $5D94337FBFAF7F5B, $1A4E4822EB4D7A59,
    $6FFE73E81B637FB3, $DDF957BC36D8B9CA, $64D0E29EEA8838B3, $08DD9BDFD96B9F63,
    $087E79E5A57D1D13, $E328E230E3E2B3FB, $1C2559E30F0946BE, $720BF5F26F4D2EAA,
    $B0774D261CC609DB, $443F64EC5A371195, $4112CF68649A260E, $D813F2FAB7F5C5CA,
    $660D3257380841EE, $59AC2C7873F910A3, $E846963877671A17, $93B633ABFA3469F8,
    $C0C0F5A60EF4CDCF, $CAF21ECD4377B28C, $57277707199B8175, $506C11B9D90E8B1D,
    $D83CC2687A19255F, $4A29C6465A314CD1, $ED2DF21216235097, $B5635C95FF7296E2,
    $22AF003AB672E811, $52E762596BF68235, $9AEBA33AC6ECC6B0, $944F6DE09134DFB6,
    $6C47BEC883A7DE39, $6AD047C430A12104, $A5B1CFDBA0AB4067, $7C45D833AFF07862,
    $5092EF950A16DA0B, $9338E69C052B8E7B, $455A4B4CFE30E3F5, $6B02E63195AD0CF8,
    $6B17B224BAD6BF27, $D1E0CCD25BB9C169, $DE0C89A556B9AE70, $50065E535A213CF6,
    $9C1169FA2777B874, $78EDEFD694AF1EED, $6DC93D9526A50E68, $EE97F453F06791ED,
    $32AB0EDB696703D3, $3A6853C7E70757A7, $31865CED6120F37D, $67FEF95D92607890,
    $1F2B1D1F15F6DC9C, $B69E38A8965C6B65, $AA9119FF184CCCF4, $F43C732873F24C13,
    $FB4A3D794A9A80D2, $3550C2321FD6109C, $371F77E76BB8417E, $6BFA9AAE5EC05779,
    $CD04F3FF001A4778, $E3273522064480CA, $9F91508BFFCFC14A, $049A7F41061A9E60,
    $FCB6BE43A9F2FE9B, $08DE8A1C7797DA9B, $8F9887E6078735A1, $B5B4071DBFC73A66,
    $230E343DFBA08D33, $43ED7F5A0FAE657D, $3A88A0FBBCB05C63, $21874B8B4D2DBC4F,
    $1BDEA12E35F6A8C9, $53C065C6C8E63528, $E34A1D250E7A8D6B, $D6B04D3B7651DD7E,
    $5E90277E7CB39E2D, $2C046F22062DC67D, $B10BB459132D0A26, $3FA9DDFB67E2F199,
    $0E09B88E1914F7AF, $10E8B35AF3EEAB37, $9EEDECA8E272B933, $D4C718BC4AE8AE5F,
    $81536D601170FC20, $91B534F885818A06, $EC8177F83F900978, $190E714FADA5156E,
    $B592BF39B0364963, $89C350C893AE7DC1, $AC042E70F8B383F2, $B49B52E587A1EE60,
    $FB152FE3FF26DA89, $3E666E6F69AE2C15, $3B544EBE544C19F9, $E805A1E290CF2456,
    $24B33C9D7ED25117, $E74733427B72F0C1, $0A804D18B7097475, $57E3306D881EDB4F,
    $4AE7D6A36EB5DBCB, $2D8D5432157064C8, $D1E649DE1E7F268B, $8A328A1CEDFE552C,
    $07A3AEC79624C7DA, $84547DDC3E203C94, $990A98FD5071D263, $1A4FF12616EEFC89,
    $F6F7FD1431714200, $30C05B1BA332F41C, $8D2636B81555A786, $46C9FEB55D120902,
    $CCEC0A73B49C9921, $4E9D2827355FC492, $19EBB029435DCB0F, $4659D2B743848A2C,
    $963EF2C96B33BE31, $74F85198B05A2E7D, $5A0F544DD2B1FB18, $03727073C2E134B1,
    $C7F6AA2DE59AEA61, $352787BAA0D7C22F, $9853EAB63B5E0B35, $ABBDCDD7ED5C0860,
    $CF05DAF5AC8D77B0, $49CAD48CEBF4A71E, $7A4C10EC2158C4A6, $D9E92AA246BF719E,
    $13AE978D09FE5557, $730499AF921549FF, $4E4B705B92903BA4, $FF577222C14F0A3A,
    $55B6344CF97AAFAE, $B862225B055B6960, $CAC09AFBDDD2CDB4, $DAF8E9829FE96B5F,
    $B5FDFC5D3132C498, $310CB380DB6F7503, $E87FBB46217A360E, $2102AE466EBB1148,
    $F8549E1A3AA5E00D, $07A69AFDCC42261A, $C4C118BFE78FEAAE, $F9F4892ED96BD438,
    $1AF3DBE25D8F45DA, $F5B4B0B0D2DEEEB4, $962ACEEFA82E1C84, $046E3ECAAF453CE9,
    $F05D129681949A4C, $964781CE734B3C84, $9C2ED44081CE5FBD, $522E23F3925E319E,
    $177E00F9FC32F791, $2BC60A63A6F3B3F2, $222BBFAE61725606, $486289DDCC3D6780,
    $7DC7785B8EFDFC80, $8AF38731C02BA980, $1FAB64EA29A2DDF7, $E4D9429322CD065A,
    $9DA058C67844F20C, $24C0E332B70019B0, $233003B5A6CFE6AD, $D586BD01C5C217F6,
    $5E5637885F29BC2B, $7EBA726D8C94094B, $0A56A5F0BFE39272, $D79476A84EE20D06,
    $9E4C1269BAA4BF37, $17EFEE45B0DEE640, $1D95B0A5FCF90BC6, $93CBE0B699C2585D,
    $65FA4F227A2B6D79, $D5F9E858292504D5, $C2B5A03F71471A6F, $59300222B4561E00,
    $CE2F8642CA0712DC, $7CA9723FBB2E8988, $2785338347F2BA08, $C61BB3A141E50E8C,
    $150F361DAB9DEC26, $9F6A419D382595F4, $64A53DC924FE7AC9, $142DE49FFF7A7C3D,
    $0C335248857FA9E7, $0A9C32D5EAE45305, $E6C42178C4BBB92E, $71F1CE2490D20B07,
    $F1BCC3D275AFE51A, $E728E8C83C334074, $96FBF83A12884624, $81A1549FD6573DA5,
    $5FA7867CAF35E149, $56986E2EF3ED091B, $917F1DD5F8886C61, $D20D8C88C8FFE65F,
    $31D71DCE64B2C310, $F165B587DF898190, $A57E6339DD2CF3A0, $1EF6E6DBB1961EC9,
    $70CC73D90BC26E24, $E21A6B35DF0C3AD7, $003A93D8B2806962, $1C99DED33CB890A1,
    $CF3145DE0ADD4289, $D0E4427A5514FB72, $77C621CC9FB3A483, $67A34DAC4356550B,
    $F8D626AAAF278509
);
var
  {RandomPiece: ^UInt64 = @Random64[0];
  RandomCastle: ^UInt64 = @Random64[768];
  RandomEnPassant: ^UInt64 = @Random64[772];
  RandomTurn: ^UInt64 = @Random64[780]; }
  piece_names: String = 'pPnNbBrRqQkK';
(* Pascal version by R. Chastain. *)   
function hash(const fen: string): UInt64;
var
  board_s: string;
  to_move_c: char;
  castle_flags_s: string;
  ep_square_s: string;
  board: array[0..7, 0..7] of char;
  c: char;
  p, r, f, i, p_enc: integer;
begin
  result := 0;
  
  with TStringList.Create do
  try
    DelimitedText := fen;
    board_s := Strings[0];
    to_move_c := Strings[1][1];
    castle_flags_s := Strings[2];
    ep_square_s := Strings[3];
  finally
    Free;
  end;
  
  r := 7;
  f := 0;
  p := 1;
  while p <= Length(board_s) do
  begin
    c := board_s[p];
    Inc(p);
    if c = '/' then
    begin
      Dec(r);
      f := 0;
      Continue;
    end;
    if (c >= '1') and (c <= '8') then
    begin
      for i := 0 to Ord(c) - Ord('1') do
      begin
        board[f][r] := '-';
        Inc(f);
      end;
      Continue;
    end;
    board[f][r] := c;
    Inc(f);
  end;
  
  for f := 0 to 7 do
    for r := 0 to 7 do
    begin
      c := board[f][r];
      if c <> '-' then
      begin
        p_enc := Pred(Pos(c, piece_names));
        result := result xor Random64[64 * p_enc + 8 * r + f];
      end;
    end;

  p := 1;
  while p <= Length(castle_flags_s) do
  begin
    c := castle_flags_s[p];
    Inc(p);
    case c of
      'K': result := result xor Random64[768];
      'Q': result := result xor Random64[769];
      'k': result := result xor Random64[770];
      'q': result := result xor Random64[771];
    end;
  end;
  
  if ep_square_s[1] <> '-' then
  begin
    f := Ord(ep_square_s[1]) - Ord('a');
    if to_move_c = 'b' then
    begin
      if ((f > 0) and (board[f - 1][3] = 'p'))
      or ((f < 7) and (board[f + 1][3] = 'p')) then
        result := result xor Random64[772+f];
    end else
    begin
      if ((f > 0) and (board[f - 1][4] = 'P'))
      or ((f < 7) and (board[f + 1][4] = 'P')) then
        result := result xor Random64[772+f];
    end;
  end;
  
  if to_move_c = 'w' then
    result := result xor Random64[780];
end;
type
  entry_t = record
    key: UInt64;
    move: Word;//UInt16;
    weight: Word;//UInt16;
    learn: LongWord;//UInt32;
  end;

const
  entry_none: entry_t = (
    key: 0;
    move: 0;
    weight: 0;
    learn: 0
  );
  promote_pieces = 'nbrq';
  MAX_MOVES = 100;

 function int_from_file(const f: THandle; const l: integer; var r: UInt64): boolean;
var
  i: integer;
  c: byte;
begin
result := FALSE;
  for i := 0 to Pred(l) do
  begin
    if FileRead(f, c, SizeOf(c)) <> SizeOf(c) then
      Exit;
    r := (r shl 8) + c;
  end;
  result := TRUE;
end;

function entry_from_file(const f: THandle; var entry: entry_t): boolean;
var
  r: UInt64;
begin
r := 0;
result := FALSE;
  if not int_from_file(f, 8, r) then Exit;
  entry.key := r;
  if not int_from_file(f, 2, r) then Exit;
  entry.move := Word(r);
  if not int_from_file(f, 2, r) then Exit;
  entry.weight := Word(r);
  if not int_from_file(f, 4, r) then Exit;
  entry.learn := Word(r);
result := TRUE;
end;

function find_key(const f: THandle; const key: UInt64; var entry: entry_t): integer;
var
  first, last, middle: integer;
  first_entry, last_entry, middle_entry: entry_t;
  fsFromEnd,fsFromCurrent,fsFromBeginning: Integer;
begin
fsFromBeginning:=0;// от начала файла
fsFromCurrent:=1;// от текущей позиции
fsFromEnd :=2;// от конца файла
  first_entry := entry_none;
  first := -1;
  if FileSeek(f, -16, fsFromEnd) = -1 then
  begin
    entry := entry_none;
    entry.key := key + 1; // hack
    result:=-1;
    Exit;
  end;
  last := FileSeek(f, 0, fsFromCurrent) div 16;
  entry_from_file(f, last_entry);
  while TRUE do
  begin
    if last - first = 1 then
    begin
      entry := last_entry;
      result:=last;
      Exit;
    end;
    middle := (first + last) div 2;
    FileSeek(f, 16 * middle, fsFromBeginning);
    entry_from_file(f, middle_entry);
    if key <= middle_entry.key then
    begin
      last := middle;
      last_entry := middle_entry;
    end else
    begin
      first := middle;
      first_entry := middle_entry;
    end;
  end;
end;

procedure move_to_string(var move_s: string; const move: Word);
var
  f, fr, ff, t, tr, tf, p: integer;
begin
  f := (move shr 6) and 63;
  fr := (f shr 3) and 7;
  ff := f and 7;
  t := move and 63;
  tr := (t shr 3) and 7;
  tf := t and 7;
  p := (move shr 12) and 7;
  SetLength(move_s, 4);
  move_s[1] := Chr(ff + Ord('a'));
  move_s[2] := Chr(fr + Ord('1'));
  move_s[3] := Chr(tf + Ord('a'));
  move_s[4] := Chr(tr + Ord('1'));
  if p <> 0 then
  begin
    SetLength(move_s, 5);
    move_s[5] := promote_pieces[p];
  end;
  if      move_s = 'e1h1' then
    move_s := 'e1g1'
  else if move_s = 'e1a1' then
    move_s := 'e1c1'
  else if move_s = 'e8h8' then
    move_s := 'e8g8'
  else if move_s = 'e8a8' then
    move_s := 'e8c8'; 
end;
////////////////////////////////////////////////////////////////////////

function PolyglotKey(const APosition: string): UInt64;
begin
  result := hash(APosition);
end;

function BestMove(const AKey: UInt64; const ABookName: TFileName): string;
var
  f: THandle;
  entry: entry_t;
  offset: longint;
  entries: array[0..MAX_MOVES - 1] of entry_t;
  count: longint;
  i: longint;
  move_s: string;
  total_weight: longint;
  fsFromEnd,fsFromCurrent,fsFromBeginning: Integer;
begin
fsFromBeginning:=0;// от начала файла
fsFromCurrent:=1;// от текущей позиции
fsFromEnd :=2;// от конца файла
count:= 0;
  f := FileOpen(ABookName, fmOpenRead);
  if f = THandle(-1) then
  begin
    ShowMessage('Cannot open file '+ABookName);
    result:='';
    Exit;
  end;
  offset := find_key(f, AKey, entry);
  if entry.key <> AKey then
  begin
    ShowMessage('No such key');
    FileClose(f);
    result:='';
    Exit;
  end;
  entries[0] := entry;
  count := 1;
  FileSeek(f, 16 * (offset + 1), fsFromBeginning);
  while TRUE do
  begin
    if not entry_from_file(f, entry) then
      Break;
    if entry.key <> AKey then
      Break;
    if count = MAX_MOVES then
    begin
      ShowMessage('Too many moves');
      result:='';
      Exit;
    end;
    entries[count] := entry;
    Inc(count);
  end;
  FileClose(f);

  total_weight := 0;
  for i := 0 to Pred(count) do
    Inc(total_weight, entries[i].weight);
  for i := 0 to Pred(count) do
  begin
    move_to_string(move_s, entries[i].move);
    //chess.MemoInfo.Lines.Add(Format('move=%s weight=%5.2f%%', [move_s, 100 * (entries[i].weight / total_weight)]));
  end;

  move_to_string(move_s, entries[0].move);
  result := move_s;
end;

function BestMove(const APosition: string; const ABookName: TFileName): string;
var
  LKey: UInt64;
  Polyglot_key:UInt64;
begin
//chess.MemoInfo.Lines.Add('fen: '+APosition);
Polyglot_key:=hash(APosition);
//chess.MemoInfo.Lines.Add('the Polyglot key of a fen: '+Format('$%x', [Polyglot_key])+': '+IntToStr(UsePopcnt64(Polyglot_key,Polyglot_key shr 32))+' bit');
  LKey := PolyglotKey(APosition);
  result := BestMove(LKey, ABookName);
end;
end.

Borland® Delphi® for Microsoft® Windows™ Version 10.0.2166.28377 Update 1 Copyright © 2005 Borland® Software Corporation.
All Rights Reserved.

[CJDC]

Yakka v1.2

Bug fixes and improvements. Changed evaluation from HCE to NNUE. Small net trained with my own training code and Yakka v1.1 HCE texel tuning positions.

Modest strength improvement over v1.1, estimated +40 ELO gain.

https://github.com/CJDalrymple/Yakka