Mono 5 18 1 0 64 bit

OpponentEloDiffResultsScoreLOSPerf– Stockfish 15 64-bit 4CPU3622+13−13(+164)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%+53– Stockfish 14 64-bit 4CPU3621+13−13(+163)5.5 − 14.5(+0−9=11)27.5%5.5 / 200.0%+14– Dragon by Komodo 3.1 64-bit 4CPU3616+14−14(+158)5 − 15(+0−10=10)25.0%5.0 / 200.0%−8– Fat Fritz 2 64-bit 4CPU3601+10−10(+143)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%+32– Berserk 10 64-bit 4CPU3567+13−13(+109)6 − 14(+0−8=12)30.0%6.0 / 200.0%−18– Revenge 3.0 64-bit 4CPU3558+9−9(+100)6.5 − 13.5(+1−8=11)32.5%6.5 / 200.0%−15– Ethereal 13.75 64-bit 4CPU3554+12−12(+96)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%−14– Koivisto 8.0 64-bit 4CPU3551+11−11(+93)7 − 13(+0−6=14)35.0%7.0 / 200.0%−2– SlowChess Blitz 2.9 64-bit 4CPU3545+9−9(+87)8.5 − 11.5(+0−3=17)42.5%8.5 / 200.0%+41– Clover 5.0 64-bit 4CPU3544+17−17(+86)12 − 20(+0−8=24)37.5%12.0 / 320.0%+9– Deep Sjeng 3.6 a16 64-bit 4CPU3544+16−16(+86)12 − 20(+0−8=24)37.5%12.0 / 320.0%+9– RubiChess 20220813 64-bit 4CPU3530+15−15(+72)7 − 13(+0−6=14)35.0%7.0 / 200.0%−20– rofChade 3.0 64-bit 4CPU3526+10−10(+68)7 − 13(+0−6=14)35.0%7.0 / 200.0%−24– Clover 4.0 64-bit 4CPU3525+16−16(+67)11 − 19(+0−8=22)36.7%11.0 / 300.0%−16– Minic 3.32 64-bit 4CPU3520+14−14(+62)8.5 − 15.5(+0−7=17)35.4%8.5 / 240.0%−28– Minic 3.30 64-bit 4CPU3515+14−14(+57)6.5 − 13.5(+0−7=13)32.5%6.5 / 200.0%−52– Caissa 1.8 64-bit 4CPU3513+17−17(+55)11 − 15(+0−4=22)42.3%11.0 / 260.0%+8– Seer 2.5.0 64-bit 4CPU3510+13−13(+52)9.5 − 10.5(+1−2=17)47.5%9.5 / 200.0%+38– Carp 3.0.0 64-bit 4CPU3501+16−16(+43)10.5 − 11.5(+0−1=21)47.7%10.5 / 220.0%+29– Arasan 23.4 64-bit 4CPU3499+13−13(+41)8.5 − 11.5(+0−3=17)42.5%8.5 / 200.0%−4– Uralochka 3.38c 64-bit 4CPU3493+15−15(+35)10 − 10(+2−2=16)50.0%10.0 / 200.0%+35– Rebel 15.1a 64-bit 4CPU3490+16−16(+32)9 − 11(+0−2=18)45.0%9.0 / 200.1%+4– Arasan 23.5 64-bit 4CPU3488+15−15(+30)10.5 − 11.5(+1−2=19)47.7%10.5 / 220.2%+17– Igel 3.1.0 64-bit 4CPU3484+12−12(+26)9.5 − 10.5(+0−1=19)47.5%9.5 / 200.3%+13– Black Marlin 7.0 64-bit 4CPU3466+14−14(+8)8.5 − 11.5(+1−4=15)42.5%8.5 / 2018.7%−41– Houdini 6 64-bit 4CPU3456+7−7(−2)9 − 11(+1−3=16)45.0%9.0 / 2060.1%−31– Velvet 5.1.0 64-bit 4CPU3454+17−17(−4)16.5 − 13.5(+7−4=19)55.0%16.5 / 3063.2%+29– Marvin 6.1.0 64-bit 4CPU3448+15−15(−10)11.5 − 12.5(+0−1=23)47.9%11.5 / 2482.7%−20– Wasp 6.00 64-bit 4CPU3440+15−15(−18)12.5 − 7.5(+5−0=15)62.5%12.5 / 2096.4%+55– Nemorino 6.05 64-bit 4CPU3432+16−16(−26)10 − 10(+3−3=14)50.0%10.0 / 2099.2%−26– Booot 7.0 64-bit 4CPU3428+16−16(−30)10 − 10(+2−2=16)50.0%10.0 / 2099.7%−33– Velvet 4.1.0 64-bit 4CPU3423+15−15(−35)11 − 9(+4−2=14)55.0%11.0 / 20100.0%−4– Mantissa 3.7.2 64-bit 4CPU3381+15−15(−77)12 − 8(+4−0=16)60.0%12.0 / 20100.0%−17– Marvin 6.0.0 64-bit 4CPU3377+16−16(−81)11 − 9(+2−0=18)55.0%11.0 / 20100.0%−53– Expositor 2BR17 64-bit 4CPU3376+16−16(−82)12.5 − 7.5(+6−1=13)62.5%12.5 / 20100.0%0– Counter 5.0 64-bit 4CPU3373+18−18(−85)14.5 − 9.5(+7−2=15)60.4%14.5 / 24100.0%−17– Smallbrain 6.0 64-bit 4CPU3370+16−16(−88)13.5 − 10.5(+3−0=21)56.3%13.5 / 24100.0%−52– Stash 34.0 64-bit 4CPU3364+18−18(−94)16.5 − 7.5(+10−1=13)68.8%16.5 / 24100.0%+28– Drofa 4.0.0 64-bit 4CPU3318+20−20(−140)15 − 3(+12−0=6)83.3%15.0 / 18100.0%+102– Winter 1.0 64-bit 4CPU3306+18−18(−152)12.5 − 3.5(+9−0=7)78.1%12.5 / 16100.0%+40– Drofa 3.3.22 64-bit 4CPU3300+21−21(−158)13.5 − 6.5(+7−0=13)67.5%13.5 / 20100.0%−47

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The example above, these will be: d7ce56a3 566656f3.Let’s reverse the order of bytes in each 4-byte sequences and form two 32-bit integer numbers: a356ced7 f3566656.Together these two sequences form a 64-bit integer number: a356ced7f3566656.This number in the binary format will look as following:0xA356CED7F3566656 = 1010001101010110110011101101011111110011010101100110011001010110Let’s divide the 64-bit value into groups of 5-bit each starting from least significant bits (from right to left):there will be 12 groups 5-bit each, and the last group will have remaining 4-bit.Each 5-bit group can be represented by a 5-bit integer number in the 0-31 range:1010 00110 10101 10110 01110 11010 11111 11001 10101 01100 11001 10010 10110 10 6 21 22 14 26 31 25 21 12 25 18 22Finally, we are going to encode each 5-bit number into a single character using this lookup table:'0','1','2','3','4','5','6','7','8','9','a','b','c','d','f','g','h','j','k','m','n','p','q','r','s','t','u','v','w','x','y','z'Here is a final result, 13-character string, used in Oracle as SQL_ID: 10 6 21 22 14 26 31 25 21 12 25 18 22 a 6 p q f u z t p c t k qSQL_ID = 'a6pqfuztpctkq'Let’s check that with the following SQL and results in Figure 3.select ADDRESS, SQL_ID, HASH_VALUE, to_char(HASH_VALUE,'FMXXXXXXXX') HASH_VALUE_HEXfrom v$sqlwhere sql_text='select 0 from dual';Let’s make few practical conclusions.The possibility of SQL_ID collisions is significantly lower (about 4 billion times lower) than for HASH_VALUE.That means much stronger one-to-one relationship between SQL text and SQL_ID.Therefore, the same SQL_ID means the same SQL text.It no longer matters if they were on different databases, different versions, or different platforms.In this case, same text means that both

Losses 3 hours ago Boros Standard 61% Win Rate: 33 Wins - 21 Losses 3 hours ago Four Color Standard 60% Win Rate: 48 Wins - 31 Losses 3 hours ago Azorius Standard 55% Win Rate: 45 Wins - 36 Losses 3 hours ago Laughing Jasper Flint Brawl 81% Win Rate: 9 Wins - 2 Losses 4 hours ago Mono Red Arena Standard 70% Win Rate: 22 Wins - 9 Losses 4 hours ago Izzet Traditional Historic 77% Win Rate: 21 Wins - 6 Losses 4 hours ago Simic Historic 66% Win Rate: 41 Wins - 21 Losses 4 hours ago Esper Standard 55% Win Rate: 15 Wins - 12 Losses 4 hours ago Azorius Alchemy 54% Win Rate: 17 Wins - 14 Losses 4 hours ago DFT Traditional Draft 3 wins 0 losses Limited 3 Wins - 0 Losses 4 hours ago Slimefoot, Thallid Transplant Historic Brawl 58% Win Rate: 18 Wins - 13 Losses 4 hours ago Mono Green Elfs Historic 46% Win Rate: 22 Wins - 25 Losses 4 hours ago Gruul Arena Standard 50% Win Rate: 79 Wins - 77 Losses 4 hours ago Mono Black Arena Standard 83% Win Rate: 26 Wins - 5 Losses 4 hours ago Dimir Arena Standard 46% Win Rate: 34 Wins - 39 Losses 5 hours ago Simic Traditional Historic 53% Win Rate: 15 Wins - 13 Losses 5 hours ago Ojer Kaslem, Deepest Growth Historic Brawl 48% Win Rate: 40 Wins - 43 Losses 5 hours ago DFT Premier Draft 7 wins 2 losses Limited 7 Wins - 2 Losses 5 hours ago Golgari Arena Standard 48% Win Rate: 15 Wins - 16 Losses 5 hours ago Azorius Arena Standard 51% Win Rate: 16 Wins - 15 Losses 5 hours ago Azorius Yorion Traditional Explorer 48% Win Rate: 15 Wins - 16 Losses 5 hours ago Orzhov Historic 63% Win Rate: 59 Wins - 34 Losses 6 hours ago Gruul Historic 48% Win Rate: 15 Wins - 16 Losses 6 hours ago Arabella, Abandoned Doll Historic Brawl 46% Win Rate: 18 Wins - 21 Losses 6 hours ago DFT Premier Draft 7 wins 1 losses Limited 7 Wins - 1 Losses 6 hours ago Atraxa, Praetors' Voice Historic Brawl 54% Win Rate: 17 Wins - 14 Losses 6 hours ago Dimir Timeless 52% Win Rate: 41 Wins - 37 Losses 7 hours ago Dimir Arena Standard 48% Win Rate:

Fully patchableOutputs: Fully patchableSync/SRC: Assignable as master audio sync for all modes*SRC 64 channelI/O Expansion ModuleMulti-channel IO option moduleInputs: Fully patchableOutputs: Fully patchableSync/SRC assignable as master audio syncAudio SpecificationsMeasured balanced XLR in to XLR out, 0 dB gain, 0 dBu inputDynamic Range112 dBFrequency Response20 Hz to 20 kHz (+0/-0.5 dB)Headroom+18 dBOperating LevelInternal Operating Level: 0 dBuTHD+NTHD+N, Mic/Line Routed to Main L/R Out: Unity gain faders @ 0 dB, 0.006%, -84 dBu (20 Hz to 20 kHz)DBFS Alignment+18 dBu = 0 dBFS (+22 dBu at XLR output)Metering AccuracyMeter Calibration: 0 dB meter = -18 dBFS (+4 dBu at XLR out)MeteringMain Meter Type: 2 x 12 segment, fast (peak) responseChannel Meter Type: Single point metering, fully programmable color/brightnessPeak Indication: -3 dBFS (+19 dBu at XLR out), multi-point sensingSampling Rate96 kHzBit DepthUses XCVI core custom bit widths in algorithms, up to 96-bitLatencyFaders3.9″ / 100.0 mmTouch Screen7.0″ / 177.8 mm, capacitive, 800 x 480 resolution, 24-bit RGBSoftkeys16GroupsMute Groups: 8DCA Groups: 8NetworkTCP/IP Ethernet for MIDI and controlMIDITCP/IP and USB Type-BFootswitchSingle or dual, momentary or latchingSourceChannels 1-48: Fully patchableGlobal Source: SQ-Drive or USB Type-B streamingPolarityNormal/invertedTrim-24 to +24 dBHigh Pass Filter12 dB/octave 20 Hz to 2 kHzInsertInsert (Pre EQ/Comp): Fully patchableDelayUp to 341 msGateGate: Patchable sidechainSidechain Filter: Hi-pass (20 to 5 kHz), Band-pass (120 Hz to 10 kHz), Lo-pass (120 Hz to 20 kHz)Threshold / Depth: -72 dBu to +18 dBu / 0 to 60 dBAttack / Hold / Release: 50 μs to 300 ms / 10 ms to 5 seconds / 10 ms to 1 secondParametric EqualizerPEQ: 4-band fully parametric, 20 Hz to 20 kHz, ±15 dBBand 1, Band 4: Selectable shelving (Baxandall), bellBand 2, Band 3: BellBell Width: Variable Q, 1.5 to 1/9th octaveCompressorCompressor: Patchable sidechainSidechain Filter: Hi-pass (20 to 5 kHz), Band-pass (120 Hz to 10 kHz), Lo-pass (120 Hz to 20 kHz), Q=1Threshold / Ratio: -46 dBu to 18 dBu / 1:1 to infinityAttack / Release: 30 μs to 300 ms / 50 ms to 2 secondsKnee: Soft/hardDetector Response: Peak/RMS switchableParallel Path Compression: Dry/wet -infin to 0 dBChannel Direct OutFollow fader, mute, mute group, DCA (global all channels)Source SelectionPost-Preamp, Post-HPF, Post Gate, Insert

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