DL 256

mvb2/n64 $d0 $lc0 l2bmb $lc0 $lb0 nop l1bmp $lb0 $lm0v l1bmp $lb4 $lm8v l1bmp $lb8 $lm16v l1bmp $lb12 $lm24v l1bmp $lb16 $lm32v l1bmp $lb20 $lm40v l1bmp $lb24 $lm48v l1bmp $lb28 $lm56v

ACCEPTED!! score=11 j=10 m=1 bytes=184

------------------- vsm -------------------- # ======= In(0): ((4_L2B:2, 32:1, 2_W:1))@DRAM / Float ======= r 0 000000000 001 3E8000003FE00000 # values=[0.25, 1.75] / Float @[0],[1] r 0 000000001 001 4010000040500000 # values=[2.25, 3.25] / Float @[2],[3] r 0 000000002 001 4088000040B80000 # values=[4.25, 5.75] / Float @[4],[5] r 0 000000003 001 40C8000040E80000 # values=[6.25, 7.25] / Float @[6],[7] r 0 000000004 001 41040000411C0000 # values=[8.25, 9.75] / Float @[8],[9] r 0 000000005 001 4124000041340000 # values=[10.25, 11.25] / Float @[10],[11] r 0 000000006 001 4144000041540000 # values=[12.25, 13.25] / Float @[12],[13] r 0 000000007 001 416C000041740000 # values=[14.75, 15.25] / Float @[14],[15] r 0 000000008 001 41860000418E0000 # values=[16.75, 17.75] / Float @[16],[17] r 0 000000009 001 41960000419A0000 # values=[18.75, 19.25] / Float @[18],[19] r 0 00000000A 001 41A6000041AA0000 # values=[20.75, 21.25] / Float @[20],[21] r 0 00000000B 001 41B6000041BE0000 # values=[22.75, 23.75] / Float @[22],[23] r 0 00000000C 001 41C6000041CE0000 # values=[24.75, 25.75] / Float @[24],[25] r 0 00000000D 001 41D6000041DE0000 # values=[26.75, 27.75] / Float @[26],[27] r 0 00000000E 001 41E6000041EE0000 # values=[28.75, 29.75] / Float @[28],[29] r 0 00000000F 001 41F2000041FA0000 # values=[30.25, 31.25] / Float @[30],[31] r 0 000000010 001 4203000042070000 # values=[32.75, 33.75] / Float @[32],[33] r 0 000000011 001 420B0000420D0000 # values=[34.75, 35.25] / Float @[34],[35] r 0 000000012 001 4213000042150000 # values=[36.75, 37.25] / Float @[36],[37] r 0 000000013 001 42190000421D0000 # values=[38.25, 39.25] / Float @[38],[39] r 0 000000014 001 4221000042250000 # values=[40.25, 41.25] / Float @[40],[41] r 0 000000015 001 422B0000422F0000 # values=[42.75, 43.75] / Float @[42],[43] r 0 000000016 001 4233000042370000 # values=[44.75, 45.75] / Float @[44],[45] r 0 000000017 001 423B0000423D0000 # values=[46.75, 47.25] / Float @[46],[47] r 0 000000018 001 4243000042470000 # values=[48.75, 49.75] / Float @[48],[49] r 0 000000019 001 42490000424F0000 # values=[50.25, 51.75] / Float @[50],[51] r 0 00000001A 001 4251000042570000 # values=[52.25, 53.75] / Float @[52],[53] r 0 00000001B 001 42590000425F0000 # values=[54.25, 55.75] / Float @[54],[55] r 0 00000001C 001 4263000042650000 # values=[56.75, 57.25] / Float @[56],[57] r 0 00000001D 001 42690000426D0000 # values=[58.25, 59.25] / Float @[58],[59] r 0 00000001E 001 4271000042750000 # values=[60.25, 61.25] / Float @[60],[61] r 0 00000001F 001 42790000427D0000 # values=[62.25, 63.25] / Float @[62],[63] r 1 000000000 001 4280800042838000 # values=[64.25, 65.75] / Float @[64],[65] r 1 000000001 001 4285800042868000 # values=[66.75, 67.25] / Float @[66],[67] r 1 000000002 001 42898000428B8000 # values=[68.75, 69.75] / Float @[68],[69] r 1 000000003 001 428D8000428F8000 # values=[70.75, 71.75] / Float @[70],[71] r 1 000000004 001 4290800042938000 # values=[72.25, 73.75] / Float @[72],[73] r 1 000000005 001 4294800042978000 # values=[74.25, 75.75] / Float @[74],[75] r 1 000000006 001 42998000429B8000 # values=[76.75, 77.75] / Float @[76],[77] r 1 000000007 001 429C8000429F8000 # values=[78.25, 79.75] / Float @[78],[79] r 1 000000008 001 42A0800042A38000 # values=[80.25, 81.75] / Float @[80],[81] r 1 000000009 001 42A4800042A78000 # values=[82.25, 83.75] / Float @[82],[83] r 1 00000000A 001 42A8800042AA8000 # values=[84.25, 85.25] / Float @[84],[85] r 1 00000000B 001 42AD800042AE8000 # values=[86.75, 87.25] / Float @[86],[87] r 1 00000000C 001 42B1800042B38000 # values=[88.75, 89.75] / Float @[88],[89] r 1 00000000D 001 42B5800042B78000 # values=[90.75, 91.75] / Float @[90],[91] r 1 00000000E 001 42B9800042BB8000 # values=[92.75, 93.75] / Float @[92],[93] r 1 00000000F 001 42BD800042BF8000 # values=[94.75, 95.75] / Float @[94],[95] r 1 000000010 001 42C1800042C38000 # values=[96.75, 97.75] / Float @[96],[97] r 1 000000011 001 42C5800042C68000 # values=[98.75, 99.25] / Float @[98],[99] r 1 000000012 001 42C8800042CB8000 # values=[100.25, 101.75] / Float @[100],[101] r 1 000000013 001 42CD800042CF8000 # values=[102.75, 103.75] / Float @[102],[103] r 1 000000014 001 42D1800042D38000 # values=[104.75, 105.75] / Float @[104],[105] r 1 000000015 001 42D5800042D78000 # values=[106.75, 107.75] / Float @[106],[107] r 1 000000016 001 42D9800042DA8000 # values=[108.75, 109.25] / Float @[108],[109] r 1 000000017 001 42DD800042DE8000 # values=[110.75, 111.25] / Float @[110],[111] r 1 000000018 001 42E1800042E38000 # values=[112.75, 113.75] / Float @[112],[113] r 1 000000019 001 42E4800042E78000 # values=[114.25, 115.75] / Float @[114],[115] r 1 00000001A 001 42E8800042EB8000 # values=[116.25, 117.75] / Float @[116],[117] r 1 00000001B 001 42ED800042EE8000 # values=[118.75, 119.25] / Float @[118],[119] r 1 00000001C 001 42F1800042F28000 # values=[120.75, 121.25] / Float @[120],[121] r 1 00000001D 001 42F5800042F68000 # values=[122.75, 123.25] / Float @[122],[123] r 1 00000001E 001 42F8800042FB8000 # values=[124.25, 125.75] / Float @[124],[125] r 1 00000001F 001 42FD800042FE8000 # values=[126.75, 127.25] / Float @[126],[127] r 2 000000000 001 4300C0004301C000 # values=[128.75, 129.75] / Float @[128],[129] r 2 000000001 001 4302C00043034000 # values=[130.75, 131.25] / Float @[130],[131] r 2 000000002 001 4304400043054000 # values=[132.25, 133.25] / Float @[132],[133] r 2 000000003 001 4306400043074000 # values=[134.25, 135.25] / Float @[134],[135] r 2 000000004 001 4308400043094000 # values=[136.25, 137.25] / Float @[136],[137] r 2 000000005 001 430A4000430B4000 # values=[138.25, 139.25] / Float @[138],[139] r 2 000000006 001 430CC000430D4000 # values=[140.75, 141.25] / Float @[140],[141] r 2 000000007 001 430EC000430FC000 # values=[142.75, 143.75] / Float @[142],[143] r 2 000000008 001 4310C00043114000 # values=[144.75, 145.25] / Float @[144],[145] r 2 000000009 001 4312400043134000 # values=[146.25, 147.25] / Float @[146],[147] r 2 00000000A 001 431440004315C000 # values=[148.25, 149.75] / Float @[148],[149] r 2 00000000B 001 4316400043174000 # values=[150.25, 151.25] / Float @[150],[151] r 2 00000000C 001 4318400043194000 # values=[152.25, 153.25] / Float @[152],[153] r 2 00000000D 001 431A4000431BC000 # values=[154.25, 155.75] / Float @[154],[155] r 2 00000000E 001 431C4000431DC000 # values=[156.25, 157.75] / Float @[156],[157] r 2 00000000F 001 431E4000431FC000 # values=[158.25, 159.75] / Float @[158],[159] r 2 000000010 001 4320400043214000 # values=[160.25, 161.25] / Float @[160],[161] r 2 000000011 001 4322C0004323C000 # values=[162.75, 163.75] / Float @[162],[163] r 2 000000012 001 4324C00043254000 # values=[164.75, 165.25] / Float @[164],[165] r 2 000000013 001 4326C00043274000 # values=[166.75, 167.25] / Float @[166],[167] r 2 000000014 001 432840004329C000 # values=[168.25, 169.75] / Float @[168],[169] r 2 000000015 001 432AC000432B4000 # values=[170.75, 171.25] / Float @[170],[171] r 2 000000016 001 432C4000432DC000 # values=[172.25, 173.75] / Float @[172],[173] r 2 000000017 001 432EC000432FC000 # values=[174.75, 175.75] / Float @[174],[175] r 2 000000018 001 4330400043314000 # values=[176.25, 177.25] / Float @[176],[177] r 2 000000019 001 4332400043334000 # values=[178.25, 179.25] / Float @[178],[179] r 2 00000001A 001 4334400043354000 # values=[180.25, 181.25] / Float @[180],[181] r 2 00000001B 001 4336C00043374000 # values=[182.75, 183.25] / Float @[182],[183] r 2 00000001C 001 4338400043394000 # values=[184.25, 185.25] / Float @[184],[185] r 2 00000001D 001 433AC000433B4000 # values=[186.75, 187.25] / Float @[186],[187] r 2 00000001E 001 433C4000433DC000 # values=[188.25, 189.75] / Float @[188],[189] r 2 00000001F 001 433E4000433F4000 # values=[190.25, 191.25] / Float @[190],[191] r 3 000000000 001 4340400043414000 # values=[192.25, 193.25] / Float @[192],[193] r 3 000000001 001 434240004343C000 # values=[194.25, 195.75] / Float @[194],[195] r 3 000000002 001 4344C0004345C000 # values=[196.75, 197.75] / Float @[196],[197] r 3 000000003 001 4346400043474000 # values=[198.25, 199.25] / Float @[198],[199] r 3 000000004 001 434840004349C000 # values=[200.25, 201.75] / Float @[200],[201] r 3 000000005 001 434A4000434B4000 # values=[202.25, 203.25] / Float @[202],[203] r 3 000000006 001 434CC000434D4000 # values=[204.75, 205.25] / Float @[204],[205] r 3 000000007 001 434EC000434FC000 # values=[206.75, 207.75] / Float @[206],[207] r 3 000000008 001 4350C00043514000 # values=[208.75, 209.25] / Float @[208],[209] r 3 000000009 001 4352400043534000 # values=[210.25, 211.25] / Float @[210],[211] r 3 00000000A 001 4354400043554000 # values=[212.25, 213.25] / Float @[212],[213] r 3 00000000B 001 4356400043574000 # values=[214.25, 215.25] / Float @[214],[215] r 3 00000000C 001 4358C00043594000 # values=[216.75, 217.25] / Float @[216],[217] r 3 00000000D 001 435AC000435B4000 # values=[218.75, 219.25] / Float @[218],[219] r 3 00000000E 001 435C4000435D4000 # values=[220.25, 221.25] / Float @[220],[221] r 3 00000000F 001 435EC000435FC000 # values=[222.75, 223.75] / Float @[222],[223] r 3 000000010 001 4360C0004361C000 # values=[224.75, 225.75] / Float @[224],[225] r 3 000000011 001 436240004363C000 # values=[226.25, 227.75] / Float @[226],[227] r 3 000000012 001 4364400043654000 # values=[228.25, 229.25] / Float @[228],[229] r 3 000000013 001 4366C0004367C000 # values=[230.75, 231.75] / Float @[230],[231] r 3 000000014 001 4368C0004369C000 # values=[232.75, 233.75] / Float @[232],[233] r 3 000000015 001 436AC000436BC000 # values=[234.75, 235.75] / Float @[234],[235] r 3 000000016 001 436CC000436DC000 # values=[236.75, 237.75] / Float @[236],[237] r 3 000000017 001 436E4000436FC000 # values=[238.25, 239.75] / Float @[238],[239] r 3 000000018 001 4370C00043714000 # values=[240.75, 241.25] / Float @[240],[241] r 3 000000019 001 4372C00043734000 # values=[242.75, 243.25] / Float @[242],[243] r 3 00000001A 001 437440004375C000 # values=[244.25, 245.75] / Float @[244],[245] r 3 00000001B 001 4376400043774000 # values=[246.25, 247.25] / Float @[246],[247] r 3 00000001C 001 4378400043794000 # values=[248.25, 249.25] / Float @[248],[249] r 3 00000001D 001 437AC000437B4000 # values=[250.75, 251.25] / Float @[250],[251] r 3 00000001E 001 437CC000437D4000 # values=[252.75, 253.25] / Float @[252],[253] r 3 00000001F 001 437E4000437F4000 # values=[254.25, 255.25] / Float @[254],[255] mvb2/n64 $d0 $lc0 l2bmb $lc0 $lb0 nop l1bmp $lb0 $lm0v l1bmp $lb4 $lm8v l1bmp $lb8 $lm16v l1bmp $lb12 $lm24v l1bmp $lb16 $lm32v l1bmp $lb20 $lm40v l1bmp $lb24 $lm48v l1bmp $lb28 $lm56v # ======= Out(0): ((4_L2B:2, 32:1, 2_W:1))@LM0 / Float ======= d getd $lm0n0c0b0m0p0 1 # expect=[0.25, 1.75] / Float @[0],[1] d getd $lm2n0c0b0m0p0 1 # expect=[2.25, 3.25] / Float @[2],[3] d getd $lm4n0c0b0m0p0 1 # expect=[4.25, 5.75] / Float @[4],[5] d getd $lm6n0c0b0m0p0 1 # expect=[6.25, 7.25] / Float @[6],[7] d getd $lm8n0c0b0m0p0 1 # expect=[8.25, 9.75] / Float @[8],[9] d getd $lm10n0c0b0m0p0 1 # expect=[10.25, 11.25] / Float @[10],[11] d getd $lm12n0c0b0m0p0 1 # expect=[12.25, 13.25] / Float @[12],[13] d getd $lm14n0c0b0m0p0 1 # expect=[14.75, 15.25] / Float @[14],[15] d getd $lm16n0c0b0m0p0 1 # expect=[16.75, 17.75] / Float @[16],[17] d getd $lm18n0c0b0m0p0 1 # expect=[18.75, 19.25] / Float @[18],[19] d getd $lm20n0c0b0m0p0 1 # expect=[20.75, 21.25] / Float @[20],[21] d getd $lm22n0c0b0m0p0 1 # expect=[22.75, 23.75] / Float @[22],[23] d getd $lm24n0c0b0m0p0 1 # expect=[24.75, 25.75] / Float @[24],[25] d getd $lm26n0c0b0m0p0 1 # expect=[26.75, 27.75] / Float @[26],[27] d getd $lm28n0c0b0m0p0 1 # expect=[28.75, 29.75] / Float @[28],[29] d getd $lm30n0c0b0m0p0 1 # expect=[30.25, 31.25] / Float @[30],[31] d getd $lm32n0c0b0m0p0 1 # expect=[32.75, 33.75] / Float @[32],[33] d getd $lm34n0c0b0m0p0 1 # expect=[34.75, 35.25] / Float @[34],[35] d getd $lm36n0c0b0m0p0 1 # expect=[36.75, 37.25] / Float @[36],[37] d getd $lm38n0c0b0m0p0 1 # expect=[38.25, 39.25] / Float @[38],[39] d getd $lm40n0c0b0m0p0 1 # expect=[40.25, 41.25] / Float @[40],[41] d getd $lm42n0c0b0m0p0 1 # expect=[42.75, 43.75] / Float @[42],[43] d getd $lm44n0c0b0m0p0 1 # expect=[44.75, 45.75] / Float @[44],[45] d getd $lm46n0c0b0m0p0 1 # expect=[46.75, 47.25] / Float @[46],[47] d getd $lm48n0c0b0m0p0 1 # expect=[48.75, 49.75] / Float @[48],[49] d getd $lm50n0c0b0m0p0 1 # expect=[50.25, 51.75] / Float @[50],[51] d getd $lm52n0c0b0m0p0 1 # expect=[52.25, 53.75] / Float @[52],[53] d getd $lm54n0c0b0m0p0 1 # expect=[54.25, 55.75] / Float @[54],[55] d getd $lm56n0c0b0m0p0 1 # expect=[56.75, 57.25] / Float @[56],[57] d getd $lm58n0c0b0m0p0 1 # expect=[58.25, 59.25] / Float @[58],[59] d getd $lm60n0c0b0m0p0 1 # expect=[60.25, 61.25] / Float @[60],[61] d getd $lm62n0c0b0m0p0 1 # expect=[62.25, 63.25] / Float @[62],[63] d getd $lm0n1c0b0m0p0 1 # expect=[64.25, 65.75] / Float @[64],[65] d getd $lm2n1c0b0m0p0 1 # expect=[66.75, 67.25] / Float @[66],[67] d getd $lm4n1c0b0m0p0 1 # expect=[68.75, 69.75] / Float @[68],[69] d getd $lm6n1c0b0m0p0 1 # expect=[70.75, 71.75] / Float @[70],[71] d getd $lm8n1c0b0m0p0 1 # expect=[72.25, 73.75] / Float @[72],[73] d getd $lm10n1c0b0m0p0 1 # expect=[74.25, 75.75] / Float @[74],[75] d getd $lm12n1c0b0m0p0 1 # expect=[76.75, 77.75] / Float @[76],[77] d getd $lm14n1c0b0m0p0 1 # expect=[78.25, 79.75] / Float @[78],[79] d getd $lm16n1c0b0m0p0 1 # expect=[80.25, 81.75] / Float @[80],[81] d getd $lm18n1c0b0m0p0 1 # expect=[82.25, 83.75] / Float @[82],[83] d getd $lm20n1c0b0m0p0 1 # expect=[84.25, 85.25] / Float @[84],[85] d getd $lm22n1c0b0m0p0 1 # expect=[86.75, 87.25] / Float @[86],[87] d getd $lm24n1c0b0m0p0 1 # expect=[88.75, 89.75] / Float @[88],[89] d getd $lm26n1c0b0m0p0 1 # expect=[90.75, 91.75] / Float @[90],[91] d getd $lm28n1c0b0m0p0 1 # expect=[92.75, 93.75] / Float @[92],[93] d getd $lm30n1c0b0m0p0 1 # expect=[94.75, 95.75] / Float @[94],[95] d getd $lm32n1c0b0m0p0 1 # expect=[96.75, 97.75] / Float @[96],[97] d getd $lm34n1c0b0m0p0 1 # expect=[98.75, 99.25] / Float @[98],[99] d getd $lm36n1c0b0m0p0 1 # expect=[100.25, 101.75] / Float @[100],[101] d getd $lm38n1c0b0m0p0 1 # expect=[102.75, 103.75] / Float @[102],[103] d getd $lm40n1c0b0m0p0 1 # expect=[104.75, 105.75] / Float @[104],[105] d getd $lm42n1c0b0m0p0 1 # expect=[106.75, 107.75] / Float @[106],[107] d getd $lm44n1c0b0m0p0 1 # expect=[108.75, 109.25] / Float @[108],[109] d getd $lm46n1c0b0m0p0 1 # expect=[110.75, 111.25] / Float @[110],[111] d getd $lm48n1c0b0m0p0 1 # expect=[112.75, 113.75] / Float @[112],[113] d getd $lm50n1c0b0m0p0 1 # expect=[114.25, 115.75] / Float @[114],[115] d getd $lm52n1c0b0m0p0 1 # expect=[116.25, 117.75] / Float @[116],[117] d getd $lm54n1c0b0m0p0 1 # expect=[118.75, 119.25] / Float @[118],[119] d getd $lm56n1c0b0m0p0 1 # expect=[120.75, 121.25] / Float @[120],[121] d getd $lm58n1c0b0m0p0 1 # expect=[122.75, 123.25] / Float @[122],[123] d getd $lm60n1c0b0m0p0 1 # expect=[124.25, 125.75] / Float @[124],[125] d getd $lm62n1c0b0m0p0 1 # expect=[126.75, 127.25] / Float @[126],[127] d getd $lm0n2c0b0m0p0 1 # expect=[128.75, 129.75] / Float @[128],[129] d getd $lm2n2c0b0m0p0 1 # expect=[130.75, 131.25] / Float @[130],[131] d getd $lm4n2c0b0m0p0 1 # expect=[132.25, 133.25] / Float @[132],[133] d getd $lm6n2c0b0m0p0 1 # expect=[134.25, 135.25] / Float @[134],[135] d getd $lm8n2c0b0m0p0 1 # expect=[136.25, 137.25] / Float @[136],[137] d getd $lm10n2c0b0m0p0 1 # expect=[138.25, 139.25] / Float @[138],[139] d getd $lm12n2c0b0m0p0 1 # expect=[140.75, 141.25] / Float @[140],[141] d getd $lm14n2c0b0m0p0 1 # expect=[142.75, 143.75] / Float @[142],[143] d getd $lm16n2c0b0m0p0 1 # expect=[144.75, 145.25] / Float @[144],[145] d getd $lm18n2c0b0m0p0 1 # expect=[146.25, 147.25] / Float @[146],[147] d getd $lm20n2c0b0m0p0 1 # expect=[148.25, 149.75] / Float @[148],[149] d getd $lm22n2c0b0m0p0 1 # expect=[150.25, 151.25] / Float @[150],[151] d getd $lm24n2c0b0m0p0 1 # expect=[152.25, 153.25] / Float @[152],[153] d getd $lm26n2c0b0m0p0 1 # expect=[154.25, 155.75] / Float @[154],[155] d getd $lm28n2c0b0m0p0 1 # expect=[156.25, 157.75] / Float @[156],[157] d getd $lm30n2c0b0m0p0 1 # expect=[158.25, 159.75] / Float @[158],[159] d getd $lm32n2c0b0m0p0 1 # expect=[160.25, 161.25] / Float @[160],[161] d getd $lm34n2c0b0m0p0 1 # expect=[162.75, 163.75] / Float @[162],[163] d getd $lm36n2c0b0m0p0 1 # expect=[164.75, 165.25] / Float @[164],[165] d getd $lm38n2c0b0m0p0 1 # expect=[166.75, 167.25] / Float @[166],[167] d getd $lm40n2c0b0m0p0 1 # expect=[168.25, 169.75] / Float @[168],[169] d getd $lm42n2c0b0m0p0 1 # expect=[170.75, 171.25] / Float @[170],[171] d getd $lm44n2c0b0m0p0 1 # expect=[172.25, 173.75] / Float @[172],[173] d getd $lm46n2c0b0m0p0 1 # expect=[174.75, 175.75] / Float @[174],[175] d getd $lm48n2c0b0m0p0 1 # expect=[176.25, 177.25] / Float @[176],[177] d getd $lm50n2c0b0m0p0 1 # expect=[178.25, 179.25] / Float @[178],[179] d getd $lm52n2c0b0m0p0 1 # expect=[180.25, 181.25] / Float @[180],[181] d getd $lm54n2c0b0m0p0 1 # expect=[182.75, 183.25] / Float @[182],[183] d getd $lm56n2c0b0m0p0 1 # expect=[184.25, 185.25] / Float @[184],[185] d getd $lm58n2c0b0m0p0 1 # expect=[186.75, 187.25] / Float @[186],[187] d getd $lm60n2c0b0m0p0 1 # expect=[188.25, 189.75] / Float @[188],[189] d getd $lm62n2c0b0m0p0 1 # expect=[190.25, 191.25] / Float @[190],[191] d getd $lm0n3c0b0m0p0 1 # expect=[192.25, 193.25] / Float @[192],[193] d getd $lm2n3c0b0m0p0 1 # expect=[194.25, 195.75] / Float @[194],[195] d getd $lm4n3c0b0m0p0 1 # expect=[196.75, 197.75] / Float @[196],[197] d getd $lm6n3c0b0m0p0 1 # expect=[198.25, 199.25] / Float @[198],[199] d getd $lm8n3c0b0m0p0 1 # expect=[200.25, 201.75] / Float @[200],[201] d getd $lm10n3c0b0m0p0 1 # expect=[202.25, 203.25] / Float @[202],[203] d getd $lm12n3c0b0m0p0 1 # expect=[204.75, 205.25] / Float @[204],[205] d getd $lm14n3c0b0m0p0 1 # expect=[206.75, 207.75] / Float @[206],[207] d getd $lm16n3c0b0m0p0 1 # expect=[208.75, 209.25] / Float @[208],[209] d getd $lm18n3c0b0m0p0 1 # expect=[210.25, 211.25] / Float @[210],[211] d getd $lm20n3c0b0m0p0 1 # expect=[212.25, 213.25] / Float @[212],[213] d getd $lm22n3c0b0m0p0 1 # expect=[214.25, 215.25] / Float @[214],[215] d getd $lm24n3c0b0m0p0 1 # expect=[216.75, 217.25] / Float @[216],[217] d getd $lm26n3c0b0m0p0 1 # expect=[218.75, 219.25] / Float @[218],[219] d getd $lm28n3c0b0m0p0 1 # expect=[220.25, 221.25] / Float @[220],[221] d getd $lm30n3c0b0m0p0 1 # expect=[222.75, 223.75] / Float @[222],[223] d getd $lm32n3c0b0m0p0 1 # expect=[224.75, 225.75] / Float @[224],[225] d getd $lm34n3c0b0m0p0 1 # expect=[226.25, 227.75] / Float @[226],[227] d getd $lm36n3c0b0m0p0 1 # expect=[228.25, 229.25] / Float @[228],[229] d getd $lm38n3c0b0m0p0 1 # expect=[230.75, 231.75] / Float @[230],[231] d getd $lm40n3c0b0m0p0 1 # expect=[232.75, 233.75] / Float @[232],[233] d getd $lm42n3c0b0m0p0 1 # expect=[234.75, 235.75] / Float @[234],[235] d getd $lm44n3c0b0m0p0 1 # expect=[236.75, 237.75] / Float @[236],[237] d getd $lm46n3c0b0m0p0 1 # expect=[238.25, 239.75] / Float @[238],[239] d getd $lm48n3c0b0m0p0 1 # expect=[240.75, 241.25] / Float @[240],[241] d getd $lm50n3c0b0m0p0 1 # expect=[242.75, 243.25] / Float @[242],[243] d getd $lm52n3c0b0m0p0 1 # expect=[244.25, 245.75] / Float @[244],[245] d getd $lm54n3c0b0m0p0 1 # expect=[246.25, 247.25] / Float @[246],[247] d getd $lm56n3c0b0m0p0 1 # expect=[248.25, 249.25] / Float @[248],[249] d getd $lm58n3c0b0m0p0 1 # expect=[250.75, 251.25] / Float @[250],[251] d getd $lm60n3c0b0m0p0 1 # expect=[252.75, 253.25] / Float @[252],[253] d getd $lm62n3c0b0m0p0 1 # expect=[254.25, 255.25] / Float @[254],[255] ------------------- asm -------------------- m 1010010000000000000000000000000000000000000000000000000000000000000000000000010000 j 010000000000000000000000000000000000001010000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000011111111111000000001000111000000000000000000000000000000000111010000000000001000000000000001111100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 j 000000000000000000000000000000000000001010000000000000000000000100000000000000000000000000000000000000000000000000000000000000000000000011111111111000000001000111000000000000000000000000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000000000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000000000000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000001000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000000010000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000001010000000000000000000000000000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000001110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000010000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000000100000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000010010000000000000000000000000000000000000000000000000000000010100000000000000000000000000000000000000000000000000000000010110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000011000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000000110000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000011010000000000000000000000000000000000000000000000000000000011100000000000000000000000000000000000000000000000000000000011110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000100000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000001000000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000100010000000000000000000000000000000000000000000000000000000100100000000000000000000000000000000000000000000000000000000100110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000101000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000001010000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000101010000000000000000000000000000000000000000000000000000000101100000000000000000000000000000000000000000000000000000000101110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000110000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000001100000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000110010000000000000000000000000000000000000000000000000000000110100000000000000000000000000000000000000000000000000000000110110000000000000 j 010000000000000000000000000000000000001010000000000000000000000100000000000110000000111000000001000000000000000000000000000000000000000011111111111000000001000111000000001000000001110000000000000111000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000111010000000000000000000000000000000000000000000000000000000111100000000000000000000000000000000000000000000000000000000111110000000000000 ------------------- emu -------------------- DEBUG-LM0(n0c0b0m0p0,0):(1.19209e-07) (0x3e8000003fe00000) #d getd $lm0n0c0b0m0p0 1 # expect=[0.25, 1.75] / Float @[0],[1] DEBUG-LM0(n0c0b0m0p0,2):(4) (0x4010000040500000) #d getd $lm2n0c0b0m0p0 1 # expect=[2.25, 3.25] / Float @[2],[3] DEBUG-LM0(n0c0b0m0p0,4):(768) (0x4088000040b80000) #d getd $lm4n0c0b0m0p0 1 # expect=[4.25, 5.75] / Float @[4],[5] DEBUG-LM0(n0c0b0m0p0,6):(12288) (0x40c8000040e80000) #d getd $lm6n0c0b0m0p0 1 # expect=[6.25, 7.25] / Float @[6],[7] DEBUG-LM0(n0c0b0m0p0,8):(163840) (0x41040000411c0000) #d getd $lm8n0c0b0m0p0 1 # expect=[8.25, 9.75] / Float @[8],[9] DEBUG-LM0(n0c0b0m0p0,10):(655360) (0x4124000041340000) #d getd $lm10n0c0b0m0p0 1 # expect=[10.25, 11.25] / Float @[10],[11] DEBUG-LM0(n0c0b0m0p0,12):(2.62144e+06) (0x4144000041540000) #d getd $lm12n0c0b0m0p0 1 # expect=[12.25, 13.25] / Float @[12],[13] DEBUG-LM0(n0c0b0m0p0,14):(1.46801e+07) (0x416c000041740000) #d getd $lm14n0c0b0m0p0 1 # expect=[14.75, 15.25] / Float @[14],[15] DEBUG-LM0(n0c0b0m0p0,16):(4.61374e+07) (0x41860000418e0000) #d getd $lm16n0c0b0m0p0 1 # expect=[16.75, 17.75] / Float @[16],[17] DEBUG-LM0(n0c0b0m0p0,18):(9.22747e+07) (0x41960000419a0000) #d getd $lm18n0c0b0m0p0 1 # expect=[18.75, 19.25] / Float @[18],[19] DEBUG-LM0(n0c0b0m0p0,20):(1.84549e+08) (0x41a6000041aa0000) #d getd $lm20n0c0b0m0p0 1 # expect=[20.75, 21.25] / Float @[20],[21] DEBUG-LM0(n0c0b0m0p0,22):(3.69099e+08) (0x41b6000041be0000) #d getd $lm22n0c0b0m0p0 1 # expect=[22.75, 23.75] / Float @[22],[23] DEBUG-LM0(n0c0b0m0p0,24):(7.38198e+08) (0x41c6000041ce0000) #d getd $lm24n0c0b0m0p0 1 # expect=[24.75, 25.75] / Float @[24],[25] DEBUG-LM0(n0c0b0m0p0,26):(1.4764e+09) (0x41d6000041de0000) #d getd $lm26n0c0b0m0p0 1 # expect=[26.75, 27.75] / Float @[26],[27] DEBUG-LM0(n0c0b0m0p0,28):(2.95279e+09) (0x41e6000041ee0000) #d getd $lm28n0c0b0m0p0 1 # expect=[28.75, 29.75] / Float @[28],[29] DEBUG-LM0(n0c0b0m0p0,30):(4.83184e+09) (0x41f2000041fa0000) #d getd $lm30n0c0b0m0p0 1 # expect=[30.25, 31.25] / Float @[30],[31] DEBUG-LM0(n0c0b0m0p0,32):(1.02005e+10) (0x4203000042070000) #d getd $lm32n0c0b0m0p0 1 # expect=[32.75, 33.75] / Float @[32],[33] DEBUG-LM0(n0c0b0m0p0,34):(1.44955e+10) (0x420b0000420d0000) #d getd $lm34n0c0b0m0p0 1 # expect=[34.75, 35.25] / Float @[34],[35] DEBUG-LM0(n0c0b0m0p0,36):(2.04011e+10) (0x4213000042150000) #d getd $lm36n0c0b0m0p0 1 # expect=[36.75, 37.25] / Float @[36],[37] DEBUG-LM0(n0c0b0m0p0,38):(2.68435e+10) (0x42190000421d0000) #d getd $lm38n0c0b0m0p0 1 # expect=[38.25, 39.25] / Float @[38],[39] DEBUG-LM0(n0c0b0m0p0,40):(3.65072e+10) (0x4221000042250000) #d getd $lm40n0c0b0m0p0 1 # expect=[40.25, 41.25] / Float @[40],[41] DEBUG-LM0(n0c0b0m0p0,42):(5.79821e+10) (0x422b0000422f0000) #d getd $lm42n0c0b0m0p0 1 # expect=[42.75, 43.75] / Float @[42],[43] DEBUG-LM0(n0c0b0m0p0,44):(8.16044e+10) (0x4233000042370000) #d getd $lm44n0c0b0m0p0 1 # expect=[44.75, 45.75] / Float @[44],[45] DEBUG-LM0(n0c0b0m0p0,46):(1.15964e+11) (0x423b0000423d0000) #d getd $lm46n0c0b0m0p0 1 # expect=[46.75, 47.25] / Float @[46],[47] DEBUG-LM0(n0c0b0m0p0,48):(1.63209e+11) (0x4243000042470000) #d getd $lm48n0c0b0m0p0 1 # expect=[48.75, 49.75] / Float @[48],[49] DEBUG-LM0(n0c0b0m0p0,50):(2.14748e+11) (0x42490000424f0000) #d getd $lm50n0c0b0m0p0 1 # expect=[50.25, 51.75] / Float @[50],[51] DEBUG-LM0(n0c0b0m0p0,52):(2.92058e+11) (0x4251000042570000) #d getd $lm52n0c0b0m0p0 1 # expect=[52.25, 53.75] / Float @[52],[53] DEBUG-LM0(n0c0b0m0p0,54):(4.29497e+11) (0x42590000425f0000) #d getd $lm54n0c0b0m0p0 1 # expect=[54.25, 55.75] / Float @[54],[55] DEBUG-LM0(n0c0b0m0p0,56):(6.52835e+11) (0x4263000042650000) #d getd $lm56n0c0b0m0p0 1 # expect=[56.75, 57.25] / Float @[56],[57] DEBUG-LM0(n0c0b0m0p0,58):(8.58994e+11) (0x42690000426d0000) #d getd $lm58n0c0b0m0p0 1 # expect=[58.25, 59.25] / Float @[58],[59] DEBUG-LM0(n0c0b0m0p0,60):(1.16823e+12) (0x4271000042750000) #d getd $lm60n0c0b0m0p0 1 # expect=[60.25, 61.25] / Float @[60],[61] DEBUG-LM0(n0c0b0m0p0,62):(1.71799e+12) (0x42790000427d0000) #d getd $lm62n0c0b0m0p0 1 # expect=[62.25, 63.25] / Float @[62],[63] DEBUG-LM0(n1c0b0m0p0,0):(2.26774e+12) (0x4280800042838000) #d getd $lm0n1c0b0m0p0 1 # expect=[64.25, 65.75] / Float @[64],[65] DEBUG-LM0(n1c0b0m0p0,2):(2.95494e+12) (0x4285800042868000) #d getd $lm2n1c0b0m0p0 1 # expect=[66.75, 67.25] / Float @[66],[67] DEBUG-LM0(n1c0b0m0p0,4):(3.50469e+12) (0x42898000428b8000) #d getd $lm4n1c0b0m0p0 1 # expect=[68.75, 69.75] / Float @[68],[69] DEBUG-LM0(n1c0b0m0p0,6):(4.05445e+12) (0x428d8000428f8000) #d getd $lm6n1c0b0m0p0 1 # expect=[70.75, 71.75] / Float @[70],[71] DEBUG-LM0(n1c0b0m0p0,8):(4.53549e+12) (0x4290800042938000) #d getd $lm8n1c0b0m0p0 1 # expect=[72.25, 73.75] / Float @[72],[73] DEBUG-LM0(n1c0b0m0p0,10):(5.635e+12) (0x4294800042978000) #d getd $lm10n1c0b0m0p0 1 # expect=[74.25, 75.75] / Float @[74],[75] DEBUG-LM0(n1c0b0m0p0,12):(7.00939e+12) (0x42998000429b8000) #d getd $lm12n1c0b0m0p0 1 # expect=[76.75, 77.75] / Float @[76],[77] DEBUG-LM0(n1c0b0m0p0,14):(7.83402e+12) (0x429c8000429f8000) #d getd $lm14n1c0b0m0p0 1 # expect=[78.25, 79.75] / Float @[78],[79] DEBUG-LM0(n1c0b0m0p0,16):(9.07097e+12) (0x42a0800042a38000) #d getd $lm16n1c0b0m0p0 1 # expect=[80.25, 81.75] / Float @[80],[81] DEBUG-LM0(n1c0b0m0p0,18):(1.127e+13) (0x42a4800042a78000) #d getd $lm18n1c0b0m0p0 1 # expect=[82.25, 83.75] / Float @[82],[83] DEBUG-LM0(n1c0b0m0p0,20):(1.3469e+13) (0x42a8800042aa8000) #d getd $lm20n1c0b0m0p0 1 # expect=[84.25, 85.25] / Float @[84],[85] DEBUG-LM0(n1c0b0m0p0,22):(1.62178e+13) (0x42ad800042ae8000) #d getd $lm22n1c0b0m0p0 1 # expect=[86.75, 87.25] / Float @[86],[87] DEBUG-LM0(n1c0b0m0p0,24):(1.92415e+13) (0x42b1800042b38000) #d getd $lm24n1c0b0m0p0 1 # expect=[88.75, 89.75] / Float @[88],[89] DEBUG-LM0(n1c0b0m0p0,26):(2.36395e+13) (0x42b5800042b78000) #d getd $lm26n1c0b0m0p0 1 # expect=[90.75, 91.75] / Float @[90],[91] DEBUG-LM0(n1c0b0m0p0,28):(2.80376e+13) (0x42b9800042bb8000) #d getd $lm28n1c0b0m0p0 1 # expect=[92.75, 93.75] / Float @[92],[93] DEBUG-LM0(n1c0b0m0p0,30):(3.24356e+13) (0x42bd800042bf8000) #d getd $lm30n1c0b0m0p0 1 # expect=[94.75, 95.75] / Float @[94],[95] DEBUG-LM0(n1c0b0m0p0,32):(3.84829e+13) (0x42c1800042c38000) #d getd $lm32n1c0b0m0p0 1 # expect=[96.75, 97.75] / Float @[96],[97] DEBUG-LM0(n1c0b0m0p0,34):(4.7279e+13) (0x42c5800042c68000) #d getd $lm34n1c0b0m0p0 1 # expect=[98.75, 99.25] / Float @[98],[99] DEBUG-LM0(n1c0b0m0p0,36):(5.38761e+13) (0x42c8800042cb8000) #d getd $lm36n1c0b0m0p0 1 # expect=[100.25, 101.75] / Float @[100],[101] DEBUG-LM0(n1c0b0m0p0,38):(6.48712e+13) (0x42cd800042cf8000) #d getd $lm38n1c0b0m0p0 1 # expect=[102.75, 103.75] / Float @[102],[103] DEBUG-LM0(n1c0b0m0p0,40):(7.69658e+13) (0x42d1800042d38000) #d getd $lm40n1c0b0m0p0 1 # expect=[104.75, 105.75] / Float @[104],[105] DEBUG-LM0(n1c0b0m0p0,42):(9.4558e+13) (0x42d5800042d78000) #d getd $lm42n1c0b0m0p0 1 # expect=[106.75, 107.75] / Float @[106],[107] DEBUG-LM0(n1c0b0m0p0,44):(1.1215e+14) (0x42d9800042da8000) #d getd $lm44n1c0b0m0p0 1 # expect=[108.75, 109.25] / Float @[108],[109] DEBUG-LM0(n1c0b0m0p0,46):(1.29742e+14) (0x42dd800042de8000) #d getd $lm46n1c0b0m0p0 1 # expect=[110.75, 111.25] / Float @[110],[111] DEBUG-LM0(n1c0b0m0p0,48):(1.53932e+14) (0x42e1800042e38000) #d getd $lm48n1c0b0m0p0 1 # expect=[112.75, 113.75] / Float @[112],[113] DEBUG-LM0(n1c0b0m0p0,50):(1.8032e+14) (0x42e4800042e78000) #d getd $lm50n1c0b0m0p0 1 # expect=[114.25, 115.75] / Float @[114],[115] DEBUG-LM0(n1c0b0m0p0,52):(2.15504e+14) (0x42e8800042eb8000) #d getd $lm52n1c0b0m0p0 1 # expect=[116.25, 117.75] / Float @[116],[117] DEBUG-LM0(n1c0b0m0p0,54):(2.59485e+14) (0x42ed800042ee8000) #d getd $lm54n1c0b0m0p0 1 # expect=[118.75, 119.25] / Float @[118],[119] DEBUG-LM0(n1c0b0m0p0,56):(3.07863e+14) (0x42f1800042f28000) #d getd $lm56n1c0b0m0p0 1 # expect=[120.75, 121.25] / Float @[120],[121] DEBUG-LM0(n1c0b0m0p0,58):(3.78232e+14) (0x42f5800042f68000) #d getd $lm58n1c0b0m0p0 1 # expect=[122.75, 123.25] / Float @[122],[123] DEBUG-LM0(n1c0b0m0p0,60):(4.31009e+14) (0x42f8800042fb8000) #d getd $lm60n1c0b0m0p0 1 # expect=[124.25, 125.75] / Float @[124],[125] DEBUG-LM0(n1c0b0m0p0,62):(5.1897e+14) (0x42fd800042fe8000) #d getd $lm62n1c0b0m0p0 1 # expect=[126.75, 127.25] / Float @[126],[127] DEBUG-LM0(n2c0b0m0p0,0):(5.89338e+14) (0x4300c0004301c000) #d getd $lm0n2c0b0m0p0 1 # expect=[128.75, 129.75] / Float @[128],[129] DEBUG-LM0(n2c0b0m0p0,2):(6.59707e+14) (0x4302c00043034000) #d getd $lm2n2c0b0m0p0 1 # expect=[130.75, 131.25] / Float @[130],[131] DEBUG-LM0(n2c0b0m0p0,4):(7.12484e+14) (0x4304400043054000) #d getd $lm4n2c0b0m0p0 1 # expect=[132.25, 133.25] / Float @[132],[133] DEBUG-LM0(n2c0b0m0p0,6):(7.82852e+14) (0x4306400043074000) #d getd $lm6n2c0b0m0p0 1 # expect=[134.25, 135.25] / Float @[134],[135] DEBUG-LM0(n2c0b0m0p0,8):(8.53221e+14) (0x4308400043094000) #d getd $lm8n2c0b0m0p0 1 # expect=[136.25, 137.25] / Float @[136],[137] DEBUG-LM0(n2c0b0m0p0,10):(9.2359e+14) (0x430a4000430b4000) #d getd $lm10n2c0b0m0p0 1 # expect=[138.25, 139.25] / Float @[138],[139] DEBUG-LM0(n2c0b0m0p0,12):(1.01155e+15) (0x430cc000430d4000) #d getd $lm12n2c0b0m0p0 1 # expect=[140.75, 141.25] / Float @[140],[141] DEBUG-LM0(n2c0b0m0p0,14):(1.08192e+15) (0x430ec000430fc000) #d getd $lm14n2c0b0m0p0 1 # expect=[142.75, 143.75] / Float @[142],[143] DEBUG-LM0(n2c0b0m0p0,16):(1.17868e+15) (0x4310c00043114000) #d getd $lm16n2c0b0m0p0 1 # expect=[144.75, 145.25] / Float @[144],[145] DEBUG-LM0(n2c0b0m0p0,18):(1.28423e+15) (0x4312400043134000) #d getd $lm18n2c0b0m0p0 1 # expect=[146.25, 147.25] / Float @[146],[147] DEBUG-LM0(n2c0b0m0p0,20):(1.42497e+15) (0x431440004315c000) #d getd $lm20n2c0b0m0p0 1 # expect=[148.25, 149.75] / Float @[148],[149] DEBUG-LM0(n2c0b0m0p0,22):(1.5657e+15) (0x4316400043174000) #d getd $lm22n2c0b0m0p0 1 # expect=[150.25, 151.25] / Float @[150],[151] DEBUG-LM0(n2c0b0m0p0,24):(1.70644e+15) (0x4318400043194000) #d getd $lm24n2c0b0m0p0 1 # expect=[152.25, 153.25] / Float @[152],[153] DEBUG-LM0(n2c0b0m0p0,26):(1.84718e+15) (0x431a4000431bc000) #d getd $lm26n2c0b0m0p0 1 # expect=[154.25, 155.75] / Float @[154],[155] DEBUG-LM0(n2c0b0m0p0,28):(1.98792e+15) (0x431c4000431dc000) #d getd $lm28n2c0b0m0p0 1 # expect=[156.25, 157.75] / Float @[156],[157] DEBUG-LM0(n2c0b0m0p0,30):(2.12865e+15) (0x431e4000431fc000) #d getd $lm30n2c0b0m0p0 1 # expect=[158.25, 159.75] / Float @[158],[159] DEBUG-LM0(n2c0b0m0p0,32):(2.28698e+15) (0x4320400043214000) #d getd $lm32n2c0b0m0p0 1 # expect=[160.25, 161.25] / Float @[160],[161] DEBUG-LM0(n2c0b0m0p0,34):(2.63883e+15) (0x4322c0004323c000) #d getd $lm34n2c0b0m0p0 1 # expect=[162.75, 163.75] / Float @[162],[163] DEBUG-LM0(n2c0b0m0p0,36):(2.9203e+15) (0x4324c00043254000) #d getd $lm36n2c0b0m0p0 1 # expect=[164.75, 165.25] / Float @[164],[165] DEBUG-LM0(n2c0b0m0p0,38):(3.20178e+15) (0x4326c00043274000) #d getd $lm38n2c0b0m0p0 1 # expect=[166.75, 167.25] / Float @[166],[167] DEBUG-LM0(n2c0b0m0p0,40):(3.41288e+15) (0x432840004329c000) #d getd $lm40n2c0b0m0p0 1 # expect=[168.25, 169.75] / Float @[168],[169] DEBUG-LM0(n2c0b0m0p0,42):(3.76473e+15) (0x432ac000432b4000) #d getd $lm42n2c0b0m0p0 1 # expect=[170.75, 171.25] / Float @[170],[171] DEBUG-LM0(n2c0b0m0p0,44):(3.97583e+15) (0x432c4000432dc000) #d getd $lm44n2c0b0m0p0 1 # expect=[172.25, 173.75] / Float @[172],[173] DEBUG-LM0(n2c0b0m0p0,46):(4.32768e+15) (0x432ec000432fc000) #d getd $lm46n2c0b0m0p0 1 # expect=[174.75, 175.75] / Float @[174],[175] DEBUG-LM0(n2c0b0m0p0,48):(4.57397e+15) (0x4330400043314000) #d getd $lm48n2c0b0m0p0 1 # expect=[176.25, 177.25] / Float @[176],[177] DEBUG-LM0(n2c0b0m0p0,50):(5.13692e+15) (0x4332400043334000) #d getd $lm50n2c0b0m0p0 1 # expect=[178.25, 179.25] / Float @[178],[179] DEBUG-LM0(n2c0b0m0p0,52):(5.69987e+15) (0x4334400043354000) #d getd $lm52n2c0b0m0p0 1 # expect=[180.25, 181.25] / Float @[180],[181] DEBUG-LM0(n2c0b0m0p0,54):(6.40356e+15) (0x4336c00043374000) #d getd $lm54n2c0b0m0p0 1 # expect=[182.75, 183.25] / Float @[182],[183] DEBUG-LM0(n2c0b0m0p0,56):(6.82577e+15) (0x4338400043394000) #d getd $lm56n2c0b0m0p0 1 # expect=[184.25, 185.25] / Float @[184],[185] DEBUG-LM0(n2c0b0m0p0,58):(7.52946e+15) (0x433ac000433b4000) #d getd $lm58n2c0b0m0p0 1 # expect=[186.75, 187.25] / Float @[186],[187] DEBUG-LM0(n2c0b0m0p0,60):(7.95167e+15) (0x433c4000433dc000) #d getd $lm60n2c0b0m0p0 1 # expect=[188.25, 189.75] / Float @[188],[189] DEBUG-LM0(n2c0b0m0p0,62):(8.51462e+15) (0x433e4000433f4000) #d getd $lm62n2c0b0m0p0 1 # expect=[190.25, 191.25] / Float @[190],[191] DEBUG-LM0(n3c0b0m0p0,0):(9.14794e+15) (0x4340400043414000) #d getd $lm0n3c0b0m0p0 1 # expect=[192.25, 193.25] / Float @[192],[193] DEBUG-LM0(n3c0b0m0p0,2):(1.02738e+16) (0x434240004343c000) #d getd $lm2n3c0b0m0p0 1 # expect=[194.25, 195.75] / Float @[194],[195] DEBUG-LM0(n3c0b0m0p0,4):(1.16812e+16) (0x4344c0004345c000) #d getd $lm4n3c0b0m0p0 1 # expect=[196.75, 197.75] / Float @[196],[197] DEBUG-LM0(n3c0b0m0p0,6):(1.25256e+16) (0x4346400043474000) #d getd $lm6n3c0b0m0p0 1 # expect=[198.25, 199.25] / Float @[198],[199] DEBUG-LM0(n3c0b0m0p0,8):(1.36515e+16) (0x434840004349c000) #d getd $lm8n3c0b0m0p0 1 # expect=[200.25, 201.75] / Float @[200],[201] DEBUG-LM0(n3c0b0m0p0,10):(1.47774e+16) (0x434a4000434b4000) #d getd $lm10n3c0b0m0p0 1 # expect=[202.25, 203.25] / Float @[202],[203] DEBUG-LM0(n3c0b0m0p0,12):(1.61848e+16) (0x434cc000434d4000) #d getd $lm12n3c0b0m0p0 1 # expect=[204.75, 205.25] / Float @[204],[205] DEBUG-LM0(n3c0b0m0p0,14):(1.73107e+16) (0x434ec000434fc000) #d getd $lm14n3c0b0m0p0 1 # expect=[206.75, 207.75] / Float @[206],[207] DEBUG-LM0(n3c0b0m0p0,16):(1.88588e+16) (0x4350c00043514000) #d getd $lm16n3c0b0m0p0 1 # expect=[208.75, 209.25] / Float @[208],[209] DEBUG-LM0(n3c0b0m0p0,18):(2.05477e+16) (0x4352400043534000) #d getd $lm18n3c0b0m0p0 1 # expect=[210.25, 211.25] / Float @[210],[211] DEBUG-LM0(n3c0b0m0p0,20):(2.27995e+16) (0x4354400043554000) #d getd $lm20n3c0b0m0p0 1 # expect=[212.25, 213.25] / Float @[212],[213] DEBUG-LM0(n3c0b0m0p0,22):(2.50513e+16) (0x4356400043574000) #d getd $lm22n3c0b0m0p0 1 # expect=[214.25, 215.25] / Float @[214],[215] DEBUG-LM0(n3c0b0m0p0,24):(2.7866e+16) (0x4358c00043594000) #d getd $lm24n3c0b0m0p0 1 # expect=[216.75, 217.25] / Float @[216],[217] DEBUG-LM0(n3c0b0m0p0,26):(3.01178e+16) (0x435ac000435b4000) #d getd $lm26n3c0b0m0p0 1 # expect=[218.75, 219.25] / Float @[218],[219] DEBUG-LM0(n3c0b0m0p0,28):(3.18067e+16) (0x435c4000435d4000) #d getd $lm28n3c0b0m0p0 1 # expect=[220.25, 221.25] / Float @[220],[221] DEBUG-LM0(n3c0b0m0p0,30):(3.46214e+16) (0x435ec000435fc000) #d getd $lm30n3c0b0m0p0 1 # expect=[222.75, 223.75] / Float @[222],[223] DEBUG-LM0(n3c0b0m0p0,32):(3.77177e+16) (0x4360c0004361c000) #d getd $lm32n3c0b0m0p0 1 # expect=[224.75, 225.75] / Float @[224],[225] DEBUG-LM0(n3c0b0m0p0,34):(4.10954e+16) (0x436240004363c000) #d getd $lm34n3c0b0m0p0 1 # expect=[226.25, 227.75] / Float @[226],[227] DEBUG-LM0(n3c0b0m0p0,36):(4.5599e+16) (0x4364400043654000) #d getd $lm36n3c0b0m0p0 1 # expect=[228.25, 229.25] / Float @[228],[229] DEBUG-LM0(n3c0b0m0p0,38):(5.12285e+16) (0x4366c0004367c000) #d getd $lm38n3c0b0m0p0 1 # expect=[230.75, 231.75] / Float @[230],[231] DEBUG-LM0(n3c0b0m0p0,40):(5.57321e+16) (0x4368c0004369c000) #d getd $lm40n3c0b0m0p0 1 # expect=[232.75, 233.75] / Float @[232],[233] DEBUG-LM0(n3c0b0m0p0,42):(6.02357e+16) (0x436ac000436bc000) #d getd $lm42n3c0b0m0p0 1 # expect=[234.75, 235.75] / Float @[234],[235] DEBUG-LM0(n3c0b0m0p0,44):(6.47393e+16) (0x436cc000436dc000) #d getd $lm44n3c0b0m0p0 1 # expect=[236.75, 237.75] / Float @[236],[237] DEBUG-LM0(n3c0b0m0p0,46):(6.8117e+16) (0x436e4000436fc000) #d getd $lm46n3c0b0m0p0 1 # expect=[238.25, 239.75] / Float @[238],[239] DEBUG-LM0(n3c0b0m0p0,48):(7.54353e+16) (0x4370c00043714000) #d getd $lm48n3c0b0m0p0 1 # expect=[240.75, 241.25] / Float @[240],[241] DEBUG-LM0(n3c0b0m0p0,50):(8.44425e+16) (0x4372c00043734000) #d getd $lm50n3c0b0m0p0 1 # expect=[242.75, 243.25] / Float @[242],[243] DEBUG-LM0(n3c0b0m0p0,52):(9.11979e+16) (0x437440004375c000) #d getd $lm52n3c0b0m0p0 1 # expect=[244.25, 245.75] / Float @[244],[245] DEBUG-LM0(n3c0b0m0p0,54):(1.00205e+17) (0x4376400043774000) #d getd $lm54n3c0b0m0p0 1 # expect=[246.25, 247.25] / Float @[246],[247] DEBUG-LM0(n3c0b0m0p0,56):(1.09212e+17) (0x4378400043794000) #d getd $lm56n3c0b0m0p0 1 # expect=[248.25, 249.25] / Float @[248],[249] DEBUG-LM0(n3c0b0m0p0,58):(1.20471e+17) (0x437ac000437b4000) #d getd $lm58n3c0b0m0p0 1 # expect=[250.75, 251.25] / Float @[250],[251] DEBUG-LM0(n3c0b0m0p0,60):(1.29479e+17) (0x437cc000437d4000) #d getd $lm60n3c0b0m0p0 1 # expect=[252.75, 253.25] / Float @[252],[253] DEBUG-LM0(n3c0b0m0p0,62):(1.36234e+17) (0x437e4000437f4000) #d getd $lm62n3c0b0m0p0 1 # expect=[254.25, 255.25] / Float @[254],[255] ------------------- inputs -------------------- [0.25, 1.75, 2.25, 3.25, 4.25, 5.75, 6.25, 7.25, 8.25, 9.75, 10.25, 11.25, 12.25, 13.25, 14.75, 15.25, 16.75, 17.75, 18.75, 19.25, 20.75, 21.25, 22.75, 23.75, 24.75, 25.75, 26.75, 27.75, 28.75, 29.75, 30.25, 31.25, 32.75, 33.75, 34.75, 35.25, 36.75, 37.25, 38.25, 39.25, 40.25, 41.25, 42.75, 43.75, 44.75, 45.75, 46.75, 47.25, 48.75, 49.75, 50.25, 51.75, 52.25, 53.75, 54.25, 55.75, 56.75, 57.25, 58.25, 59.25, 60.25, 61.25, 62.25, 63.25, 64.25, 65.75, 66.75, 67.25, 68.75, 69.75, 70.75, 71.75, 72.25, 73.75, 74.25, 75.75, 76.75, 77.75, 78.25, 79.75, 80.25, 81.75, 82.25, 83.75, 84.25, 85.25, 86.75, 87.25, 88.75, 89.75, 90.75, 91.75, 92.75, 93.75, 94.75, 95.75, 96.75, 97.75, 98.75, 99.25, 100.25, 101.75, 102.75, 103.75, 104.75, 105.75, 106.75, 107.75, 108.75, 109.25, 110.75, 111.25, 112.75, 113.75, 114.25, 115.75, 116.25, 117.75, 118.75, 119.25, 120.75, 121.25, 122.75, 123.25, 124.25, 125.75, 126.75, 127.25, 128.75, 129.75, 130.75, 131.25, 132.25, 133.25, 134.25, 135.25, 136.25, 137.25, 138.25, 139.25, 140.75, 141.25, 142.75, 143.75, 144.75, 145.25, 146.25, 147.25, 148.25, 149.75, 150.25, 151.25, 152.25, 153.25, 154.25, 155.75, 156.25, 157.75, 158.25, 159.75, 160.25, 161.25, 162.75, 163.75, 164.75, 165.25, 166.75, 167.25, 168.25, 169.75, 170.75, 171.25, 172.25, 173.75, 174.75, 175.75, 176.25, 177.25, 178.25, 179.25, 180.25, 181.25, 182.75, 183.25, 184.25, 185.25, 186.75, 187.25, 188.25, 189.75, 190.25, 191.25, 192.25, 193.25, 194.25, 195.75, 196.75, 197.75, 198.25, 199.25, 200.25, 201.75, 202.25, 203.25, 204.75, 205.25, 206.75, 207.75, 208.75, 209.25, 210.25, 211.25, 212.25, 213.25, 214.25, 215.25, 216.75, 217.25, 218.75, 219.25, 220.25, 221.25, 222.75, 223.75, 224.75, 225.75, 226.25, 227.75, 228.25, 229.25, 230.75, 231.75, 232.75, 233.75, 234.75, 235.75, 236.75, 237.75, 238.25, 239.75, 240.75, 241.25, 242.75, 243.25, 244.25, 245.75, 246.25, 247.25, 248.25, 249.25, 250.75, 251.25, 252.75, 253.25, 254.25, 255.25] ------------------- expect -------------------- [0.25, 1.75, 2.25, 3.25, 4.25, 5.75, 6.25, 7.25, 8.25, 9.75, 10.25, 11.25, 12.25, 13.25, 14.75, 15.25, 16.75, 17.75, 18.75, 19.25, 20.75, 21.25, 22.75, 23.75, 24.75, 25.75, 26.75, 27.75, 28.75, 29.75, 30.25, 31.25, 32.75, 33.75, 34.75, 35.25, 36.75, 37.25, 38.25, 39.25, 40.25, 41.25, 42.75, 43.75, 44.75, 45.75, 46.75, 47.25, 48.75, 49.75, 50.25, 51.75, 52.25, 53.75, 54.25, 55.75, 56.75, 57.25, 58.25, 59.25, 60.25, 61.25, 62.25, 63.25, 64.25, 65.75, 66.75, 67.25, 68.75, 69.75, 70.75, 71.75, 72.25, 73.75, 74.25, 75.75, 76.75, 77.75, 78.25, 79.75, 80.25, 81.75, 82.25, 83.75, 84.25, 85.25, 86.75, 87.25, 88.75, 89.75, 90.75, 91.75, 92.75, 93.75, 94.75, 95.75, 96.75, 97.75, 98.75, 99.25, 100.25, 101.75, 102.75, 103.75, 104.75, 105.75, 106.75, 107.75, 108.75, 109.25, 110.75, 111.25, 112.75, 113.75, 114.25, 115.75, 116.25, 117.75, 118.75, 119.25, 120.75, 121.25, 122.75, 123.25, 124.25, 125.75, 126.75, 127.25, 128.75, 129.75, 130.75, 131.25, 132.25, 133.25, 134.25, 135.25, 136.25, 137.25, 138.25, 139.25, 140.75, 141.25, 142.75, 143.75, 144.75, 145.25, 146.25, 147.25, 148.25, 149.75, 150.25, 151.25, 152.25, 153.25, 154.25, 155.75, 156.25, 157.75, 158.25, 159.75, 160.25, 161.25, 162.75, 163.75, 164.75, 165.25, 166.75, 167.25, 168.25, 169.75, 170.75, 171.25, 172.25, 173.75, 174.75, 175.75, 176.25, 177.25, 178.25, 179.25, 180.25, 181.25, 182.75, 183.25, 184.25, 185.25, 186.75, 187.25, 188.25, 189.75, 190.25, 191.25, 192.25, 193.25, 194.25, 195.75, 196.75, 197.75, 198.25, 199.25, 200.25, 201.75, 202.25, 203.25, 204.75, 205.25, 206.75, 207.75, 208.75, 209.25, 210.25, 211.25, 212.25, 213.25, 214.25, 215.25, 216.75, 217.25, 218.75, 219.25, 220.25, 221.25, 222.75, 223.75, 224.75, 225.75, 226.25, 227.75, 228.25, 229.25, 230.75, 231.75, 232.75, 233.75, 234.75, 235.75, 236.75, 237.75, 238.25, 239.75, 240.75, 241.25, 242.75, 243.25, 244.25, 245.75, 246.25, 247.25, 248.25, 249.25, 250.75, 251.25, 252.75, 253.25, 254.25, 255.25] ------------------- actual -------------------- [0.25, 1.75, 2.25, 3.25, 4.25, 5.75, 6.25, 7.25, 8.25, 9.75, 10.25, 11.25, 12.25, 13.25, 14.75, 15.25, 16.75, 17.75, 18.75, 19.25, 20.75, 21.25, 22.75, 23.75, 24.75, 25.75, 26.75, 27.75, 28.75, 29.75, 30.25, 31.25, 32.75, 33.75, 34.75, 35.25, 36.75, 37.25, 38.25, 39.25, 40.25, 41.25, 42.75, 43.75, 44.75, 45.75, 46.75, 47.25, 48.75, 49.75, 50.25, 51.75, 52.25, 53.75, 54.25, 55.75, 56.75, 57.25, 58.25, 59.25, 60.25, 61.25, 62.25, 63.25, 64.25, 65.75, 66.75, 67.25, 68.75, 69.75, 70.75, 71.75, 72.25, 73.75, 74.25, 75.75, 76.75, 77.75, 78.25, 79.75, 80.25, 81.75, 82.25, 83.75, 84.25, 85.25, 86.75, 87.25, 88.75, 89.75, 90.75, 91.75, 92.75, 93.75, 94.75, 95.75, 96.75, 97.75, 98.75, 99.25, 100.25, 101.75, 102.75, 103.75, 104.75, 105.75, 106.75, 107.75, 108.75, 109.25, 110.75, 111.25, 112.75, 113.75, 114.25, 115.75, 116.25, 117.75, 118.75, 119.25, 120.75, 121.25, 122.75, 123.25, 124.25, 125.75, 126.75, 127.25, 128.75, 129.75, 130.75, 131.25, 132.25, 133.25, 134.25, 135.25, 136.25, 137.25, 138.25, 139.25, 140.75, 141.25, 142.75, 143.75, 144.75, 145.25, 146.25, 147.25, 148.25, 149.75, 150.25, 151.25, 152.25, 153.25, 154.25, 155.75, 156.25, 157.75, 158.25, 159.75, 160.25, 161.25, 162.75, 163.75, 164.75, 165.25, 166.75, 167.25, 168.25, 169.75, 170.75, 171.25, 172.25, 173.75, 174.75, 175.75, 176.25, 177.25, 178.25, 179.25, 180.25, 181.25, 182.75, 183.25, 184.25, 185.25, 186.75, 187.25, 188.25, 189.75, 190.25, 191.25, 192.25, 193.25, 194.25, 195.75, 196.75, 197.75, 198.25, 199.25, 200.25, 201.75, 202.25, 203.25, 204.75, 205.25, 206.75, 207.75, 208.75, 209.25, 210.25, 211.25, 212.25, 213.25, 214.25, 215.25, 216.75, 217.25, 218.75, 219.25, 220.25, 221.25, 222.75, 223.75, 224.75, 225.75, 226.25, 227.75, 228.25, 229.25, 230.75, 231.75, 232.75, 233.75, 234.75, 235.75, 236.75, 237.75, 238.25, 239.75, 240.75, 241.25, 242.75, 243.25, 244.25, 245.75, 246.25, 247.25, 248.25, 249.25, 250.75, 251.25, 252.75, 253.25, 254.25, 255.25] ------------------- check result --------------------