===> exp Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/exp cc -O -pipe -g -std=gnu99 -c exp.c cc -O -pipe -g -std=gnu99 -o exp exp.o -lm ./exp ===> fenv Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/fenv cc -O -pipe -g -std=gnu99 -c fenv.c cc -O -pipe -g -std=gnu99 -o fenv fenv.o -lm ./fenv 1..8 ok 1 - fenv ok 2 - fenv ok 3 - fenv ok 4 - fenv ok 5 - fenv ok 6 - fenv ok 7 - fenv ok 8 - fenv ===> floor Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/floor cc -O -pipe -g -std=gnu99 -c floor.c cc -O -pipe -g -std=gnu99 -o floor floor.o -lm ./floor ===> fpaccuracy Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/fpaccuracy cc -O -pipe -g -std=gnu99 -c Gamma.c cc -O -pipe -g -std=gnu99 -c INV.c cc -O -pipe -g -std=gnu99 -c Pix.c cc -O -pipe -g -std=gnu99 -c acos.c cc -O -pipe -g -std=gnu99 -c acosh.c cc -O -pipe -g -std=gnu99 -c asin.c cc -O -pipe -g -std=gnu99 -c asinh.c cc -O -pipe -g -std=gnu99 -c atan.c cc -O -pipe -g -std=gnu99 -c atanh.c cc -O -pipe -g -std=gnu99 -c cos.c cc -O -pipe -g -std=gnu99 -c cosh.c cc -O -pipe -g -std=gnu99 -c erf.c cc -O -pipe -g -std=gnu99 -c erfc.c cc -O -pipe -g -std=gnu99 -c exp.c cc -O -pipe -g -std=gnu99 -c fpaccuracy.c cc -O -pipe -g -std=gnu99 -c j0.c cc -O -pipe -g -std=gnu99 -c j1.c cc -O -pipe -g -std=gnu99 -c lgamma.c cc -O -pipe -g -std=gnu99 -c log.c cc -O -pipe -g -std=gnu99 -c log10.c cc -O -pipe -g -std=gnu99 -c pow2_x.c cc -O -pipe -g -std=gnu99 -c powx_275.c cc -O -pipe -g -std=gnu99 -c sin.c cc -O -pipe -g -std=gnu99 -c sinh.c cc -O -pipe -g -std=gnu99 -c sqrt.c cc -O -pipe -g -std=gnu99 -c tan.c cc -O -pipe -g -std=gnu99 -c tanh.c cc -O -pipe -g -std=gnu99 -c y0.c cc -O -pipe -g -std=gnu99 -c y1.c cc -O -pipe -g -std=gnu99 -o fpaccuracy Gamma.o INV.o Pix.o acos.o acosh.o asin.o asinh.o atan.o atanh.o cos.o cosh.o erf.o erfc.o exp.o fpaccuracy.o j0.o j1.o lgamma.o log.o log10.o pow2_x.o powx_275.o sin.o sinh.o sqrt.o tan.o tanh.o y0.o y1.o -lm ./fpaccuracy result of Gamma is never more precise than double 20 largest ulp errors (stored in a double) 1007.51430 ulp for Gamma(164.040279658791491) = 2.46119858953288017e+291) 803.47099 ulp for Gamma(134.06343791621336) = 2.02876963318290436e+226) 684.49955 ulp for Gamma(149.995246886988213) = 3.71933986887775289e+260) 678.44143 ulp for Gamma(149.995246886988326) = 3.71933986887986686e+260) 654.51322 ulp for Gamma(171.62437695630237) = 1.79769313485920759e+308) 582.50148 ulp for Gamma(164.040279658439317) = 2.46119858511502517e+291) 565.49914 ulp for Gamma(164.040279658439005) = 2.46119858511110787e+291) 536.51997 ulp for Gamma(134.063437915653338) = 2.02876962762183713e+226) 509.53716 ulp for Gamma(171.624376956302683) = 1.79769313486206882e+308) 502.49494 ulp for Gamma(102.931472671813253) = 7.00076498487847901e+161) 492.49996 ulp for Gamma(135.625077550049639) = 4.27308755772562989e+229) 489.49949 ulp for Gamma(149.995246887066457) = 3.71933987033485917e+260) 480.42868 ulp for Gamma(135.625077549163308) = 4.27308753914401685e+229) 466.50069 ulp for Gamma(135.625077550027441) = 4.27308755725975388e+229) 455.53404 ulp for Gamma(134.063437915652969) = 2.02876962761814689e+226) 424.49947 ulp for Gamma(134.063437915655896) = 2.02876962764720809e+226) 406.50060 ulp for Gamma(121.763991321950115) = 2.60795713454926605e+200) 387.50162 ulp for Gamma(87.6707341879955777) = 4.83784950540704632e+131) 371.50017 ulp for Gamma(107.262197047543694) = 3.8993882991775625e+170) 371.49967 ulp for Gamma(85.330825310269617) = 1.43919175139185159e+127) result of INV is never more precise than double 9 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50000 ulp for INV(0.999999999999999889) = 1.00000000000000022) 0.50000 ulp for INV(3.99999999999999956) = 0.250000000000000056) 0.50000 ulp for INV(0.249999999999999972) = 4.00000000000000089) 0.50000 ulp for INV(1.99999999999999978) = 0.500000000000000111) 0.50000 ulp for INV(0.124999999999999986) = 8.00000000000000178) 0.50000 ulp for INV(0.499999999999999944) = 2.00000000000000044) 0.50000 ulp for INV(7.99999999999999911) = 0.125000000000000028) 0.50000 ulp for INV(0.49471405240200178) = 2.02136970871287414) 0.50000 ulp for INV(-0.160345431200486804) = -6.23653566249516) 0.50000 ulp for INV(-0.682838099199875703) = -1.46447598804425638) 0.50000 ulp for INV(0.557128052998967949) = 1.79491948864734785) 0.50000 ulp for INV(-0.500124640393044606) = -1.99950156267866896) 0.50000 ulp for INV(0.29019680059930697) = 3.44593737055276206) 0.50000 ulp for INV(-0.732244161798246807) = -1.36566469515331868) 0.50000 ulp for INV(-0.426553727999878451) = -2.34437055488654611) 0.50000 ulp for INV(0.90431789479066893) = 1.10580582974251485) 0.50000 ulp for INV(-0.584928321798450002) = -1.70961118265798739) 0.50000 ulp for INV(-0.572718525198475659) = -1.7460584143902973) 0.50000 ulp for INV(-0.477825138203482602) = -2.09281580236607034) 0.50000 ulp for INV(-0.779150390998759268) = -1.28344926929721881) result of Pix is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50000 ulp for Pix(-0.402499911601222171) = -1.26449076535694083) 0.50000 ulp for Pix(-0.859377740199323004) = -2.6998147952687912) 0.50000 ulp for Pix(-0.193720938600241782) = -0.608592277553038907) 0.50000 ulp for Pix(-0.587555582993394943) = -1.84586030310771743) 0.50000 ulp for Pix(0.297261439603055344) = 0.933874354852484712) 0.50000 ulp for Pix(0.143596270198912052) = 0.451120987539797069) 0.50000 ulp for Pix(0.878534741800358843) = 2.75999829076341285) 0.50000 ulp for Pix(-0.620286544593580236) = -1.94868765161578916) 0.50000 ulp for Pix(-0.160345431199462873) = -0.503740028692920117) 0.50000 ulp for Pix(0.0788602522004207968) = 0.247746788973080279) 0.50000 ulp for Pix(0.947947697000832701) = 2.9780655208851794) 0.50000 ulp for Pix(-0.0349726054002504408) = -0.109869680202321518) 0.50000 ulp for Pix(0.290196800597294857) = 0.911680136851723666) 0.50000 ulp for Pix(0.294157668399192329) = 0.924123570040005116) 0.50000 ulp for Pix(-0.13784236500043559) = -0.433044561238811243) 0.50000 ulp for Pix(-0.696951496999841602) = -2.18953770288311089) 0.50000 ulp for Pix(-0.477825138200535404) = -1.50113194387132975) 0.50000 ulp for Pix(-0.681058815402102447) = -2.13960937112981187) 0.50000 ulp for Pix(0.810735118402508448) = 2.54699949198057185) 0.50000 ulp for Pix(-0.318250363599450359) = -0.9998130042863137) result of acos is never more precise than double 20 largest ulp errors (stored in a double) 0.50242 ulp for acos(0.99219766722932401) = 0.125000000000040468) 0.50037 ulp for acos(0.91057774319996676) = 0.4261166593349478) 0.50035 ulp for acos(0.992197667223120305) = 0.125000000049799581) 0.50033 ulp for acos(0.910577743200102319) = 0.426116659334619841) 0.50031 ulp for acos(0.782890517800007291) = 0.671498051386918426) 0.50028 ulp for acos(0.71077356760004895) = 0.780199005305909798) 0.50028 ulp for acos(-0.479878203800012559) = 2.07131220875440025) 0.50027 ulp for acos(-0.280154108799988755) = 1.85475096976218579) 0.50027 ulp for acos(0.213887689999990721) = 1.35524329976689195) 0.50025 ulp for acos(-0.795485219800061261) = 2.49060421440965651) 0.50024 ulp for acos(0.443226369600003778) = 1.11160162948930052) 0.50024 ulp for acos(0.479282989400335424) = 1.07095875354136449) 0.50023 ulp for acos(-0.477825138199994948) = 2.06897358675603105) 0.50022 ulp for acos(-0.174831552799988993) = 1.74653101021325785) 0.50022 ulp for acos(-0.500124640400019027) = 2.09453903071070791) 0.50022 ulp for acos(-0.888571940199981758) = 2.6650190254711239) 0.50021 ulp for acos(-0.193720938600005499) = 1.7657498497942683) 0.50021 ulp for acos(0.36701231999999967) = 1.19500116212440188) 0.50021 ulp for acos(-0.767191877399947875) = 2.44524794743638285) 0.50020 ulp for acos(0.0270132234000022911) = 1.54377981699332922) result of acosh is never more precise than double 20 largest ulp errors (stored in a double) 1.58186 ulp for acosh(1.03141309987957297) = 0.24999999999999914) 1.49127 ulp for acosh(1.00754871629998832) = 0.122794447636528359) 1.43389 ulp for acosh(1.00754871629999676) = 0.122794447636596901) 1.00394 ulp for acosh(1.00782267781110768) = 0.124999999883478263) 1.00034 ulp for acosh(1.00782267782562651) = 0.124999999999326983) 0.91277 ulp for acosh(1.03141309987957275) = 0.249999999999998279) 0.66226 ulp for acosh(1.1053530086000023) = 0.455089895933561139) 0.60209 ulp for acosh(1.24959003930000034) = 0.692600317104164365) 0.60042 ulp for acosh(3.15772050439999985) = 1.81692618977516629) 0.59773 ulp for acosh(1.54308063481524393) = 1) 0.56814 ulp for acosh(1.26108743089999931) = 0.707752145215589934) 0.56656 ulp for acosh(3.48224220920001182) = 1.91953826890366108) 0.56356 ulp for acosh(1.99975071920000014) = 1.3168139626273172) 0.55608 ulp for acosh(81.8720922097000567) = 5.09826806028882284) 0.55344 ulp for acosh(2.62014632439999895) = 1.61779429270285369) 0.55323 ulp for acosh(1.00000000000000022) = 2.10734242554470173e-08) 0.55226 ulp for acosh(4.61376402280000075) = 2.2102343711924699) 0.55147 ulp for acosh(3.36504125080000005) = 1.88374017981709696) 0.54740 ulp for acosh(55.2512207115999914) = 4.70495571019320025) 0.54642 ulp for acosh(1.00782267782571466) = 0.125000000000030365) result of asin is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50035 ulp for asin(0.821457679200080504) = 0.963962456376332044) 0.50033 ulp for asin(0.841470984807921041) = 1.0000000000000453) 0.50033 ulp for asin(-0.418126490400015538) = -0.431381885291778455) 0.50030 ulp for asin(-0.572718525199937156) = -0.60981830561152206) 0.50028 ulp for asin(-0.9849025673999805) = -1.3968102639426907) 0.50027 ulp for asin(-0.915123739200011888) = -1.15581472720556988) 0.50027 ulp for asin(-0.456227928600024091) = -0.473751634328762106) 0.50025 ulp for asin(0.895974109600018442) = 1.11061978822753193) 0.50024 ulp for asin(-0.588554136000015049) = -0.629269251740634861) 0.50024 ulp for asin(0.143596270200005705) = 0.144094396125133917) 0.50022 ulp for asin(0.17253298259998906) = 0.173400639240957333) 0.50021 ulp for asin(0.367012319999992565) = 0.375795164670487014) 0.50021 ulp for asin(-0.456591417799993848) = -0.474160154852177107) 0.50021 ulp for asin(-0.618849086999965547) = -0.667276676569257488) 0.50021 ulp for asin(0.710773567600044065) = 0.790597321488979876) 0.50020 ulp for asin(-0.489661821400026731) = -0.511701852231708054) 0.50020 ulp for asin(-0.859377740199689155) = -1.03405150838911464) 0.50020 ulp for asin(0.0474766862000005202) = 0.047494540006531541) 0.50020 ulp for asin(-0.984902567400161466) = -1.39681026394373609) 0.50020 ulp for asin(-0.883561193000023337) = -1.08341274867251203) result of asinh is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 1.25479 ulp for asinh(0.252612316808168258) = 0.249999999999999917) 1.01425 ulp for asinh(0.252612316808167592) = 0.249999999999999334) 1.00733 ulp for asinh(0.125325775241114212) = 0.124999999999998751) 0.99587 ulp for asinh(0.25261231680816576) = 0.249999999999997502) 0.99180 ulp for asinh(0.12532577524111424) = 0.124999999999998779) 0.94823 ulp for asinh(0.521095305493747052) = 0.499999999999999778) 0.67572 ulp for asinh(0.125325775241115434) = 0.124999999999999986) 0.61968 ulp for asinh(0.116007481799999895) = 0.115748845381909396) 0.61692 ulp for asinh(-0.999999999999999778) = -0.881373587019542937) 0.59904 ulp for asinh(0.521095305493747274) = 0.499999999999999889) 0.59151 ulp for asinh(-3.18250363599999986) = -1.87463181766332876) 0.57952 ulp for asinh(-0.875010530200000081) = -0.790176650174829964) 0.57398 ulp for asinh(0.672688602200000041) = 0.63014870588157712) 0.56687 ulp for asinh(8.12578045400001514) = 2.79195389043086006) 0.56055 ulp for asinh(-0.193720938600000281) = -0.192529301190265456) 0.55802 ulp for asinh(-0.732244161800000404) = -0.678881943696868051) 0.55618 ulp for asinh(-9.15453677399999854) = -2.91036659498682226) 0.55094 ulp for asinh(4.44789359999999867) = 2.19798142954430675) 0.54891 ulp for asinh(8.9597410960000019) = 2.88898828247369543) 0.54791 ulp for asinh(575.540968199999952) = 7.04845834805185145) result of atan is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50028 ulp for atan(-1.79850952600011849) = -1.06334607296139838) 0.50024 ulp for atan(-0.231511231199999362) = -0.227503216980975198) 0.50024 ulp for atan(-7.01694440599967262) = -1.42923735828428988) 0.50022 ulp for atan(-4.36803014200022588) = -1.34573857399357166) 0.50021 ulp for atan(-0.193720938600108777) = -0.191350775199167156) 0.50020 ulp for atan(6.60531107599111689) = 1.42054399441825518) 0.50020 ulp for atan(-0.273385260600019553) = -0.266864381664067341) 0.50018 ulp for atan(-1.68497234999996448) = -1.03518359165182883) 0.50016 ulp for atan(2.90196800600000637) = 1.23894587233259124) 0.50016 ulp for atan(0.691743795200012945) = 0.605163368553421455) 0.50015 ulp for atan(-0.500819921400074697) = -0.46430333097066423) 0.50014 ulp for atan(-0.620286544600136325) = -0.555202681852450031) 0.50014 ulp for atan(9.26453970399937532) = 1.46327416309335812) 0.50013 ulp for atan(0.118152693199995815) = 0.117607446782601849) 0.50013 ulp for atan(-0.758092139999913206) = -0.64865999416572695) 0.50013 ulp for atan(0.810735118400030319) = 0.681252554619064865) 0.50013 ulp for atan(5.25502219400538628) = 1.38275049106242154) 0.50013 ulp for atan(-1.37842364999983524) = -0.943182511954652414) 0.50012 ulp for atan(-0.273385260599956492) = -0.266864381664008721) 0.50011 ulp for atan(0.788602522000052875) = 0.667752519803769484) result of atanh is never more precise than double 5 results were exact to double the precision 20 largest ulp errors (stored in a double) 1.00156 ulp for atanh(0.244918662403707799) = 0.249999999999998612) 0.67972 ulp for atanh(0.0857021946000001839) = 0.0859129478716055828) 0.59240 ulp for atanh(0.14359627019999946) = 0.144595643536946095) 0.58301 ulp for atanh(-0.789293982800000848) = -1.06955625973546264) 0.57276 ulp for atanh(0.376358749799999948) = 0.395810710177387892) 0.55639 ulp for atanh(-0.13887721580000037) = -0.139780528435945184) 0.54631 ulp for atanh(-0.14877128740000034) = -0.149883677248376895) 0.54588 ulp for atanh(0.833918832000000387) = 1.20086688088398708) 0.54169 ulp for atanh(0.962390530999999716) = 1.97733140696075615) 0.54166 ulp for atanh(-0.429154498599999989) = -0.458859845554233092) 0.54137 ulp for atanh(0.0788602521999999528) = 0.0790243406193430475) 0.53504 ulp for atanh(-0.875010530200000192) = -1.35407003117081537) 0.53350 ulp for atanh(-0.732244161800000293) = -0.933548768222197012) 0.53284 ulp for atanh(-0.620286544599998657) = -0.725470694217028367) 0.53011 ulp for atanh(0.297261439599999955) = 0.306512902618217009) 0.52764 ulp for atanh(-0.426553727999999965) = -0.455676293185343972) 0.52338 ulp for atanh(0.376358749799998282) = 0.395810710177385949) 0.52122 ulp for atanh(0.691743795200000178) = 0.851291918233185729) 0.52071 ulp for atanh(-0.500819921400003643) = -0.550399971204766247) 0.52002 ulp for atanh(0.999999994345954546) = 9.84202085808349558) result of cos is never more precise than double 4 results were exact to double the precision 20 largest ulp errors (stored in a double) 22737807668655673344.00000 ulp for cos(13932548566.6484375) = -1.79424124483688191e-11) 609011988063165.00000 ulp for cos(45.553093477052002) = -6.77626357803440271e-19) 3991520163434.43408 ulp for cos(20035964.2500000037) = 3.21043885649196364e-11) 1353542268728.74780 ulp for cos(51.8362787842315882) = 2.44243644406672011e-16) 1281088520868.31372 ulp for cos(6430593.546875) = 3.96444671524592146e-11) 1025410809642.99072 ulp for cos(39.2699081698724157) = -2.45598897122278892e-16) 758803999135.81311 ulp for cos(58.1194640914111744) = 4.89164915171147463e-16) 430672540050.05609 ulp for cos(32.9867228626928295) = -4.90520167886754344e-16) 389656107664.33649 ulp for cos(29.8451302091030364) = 6.12980803268992069e-16) 389656107664.33649 ulp for cos(-29.8451302091030364) = 6.12980803268992069e-16) 348639675278.61682 ulp for cos(-26.7035375555132433) = -7.35441438651229795e-16) 348639675278.61682 ulp for cos(26.7035375555132433) = -7.35441438651229795e-16) 307623242892.89722 ulp for cos(23.5619449019234501) = 8.57902074033467521e-16) 307623242892.89722 ulp for cos(-23.5619449019234501) = 8.57902074033467521e-16) 287115026700.03741 ulp for cos(-10.9955742875642759) = -4.2861222383783204e-16) 287115026700.03741 ulp for cos(10.9955742875642759) = -4.2861222383783204e-16) 246098594314.31778 ulp for cos(-4.71238898038468967) = -1.83690953073356589e-16) 246098594314.31778 ulp for cos(4.71238898038468967) = -1.83690953073356589e-16) 205082161928.59814 ulp for cos(-7.85398163397448279) = 3.06151588455594315e-16) 205082161928.59814 ulp for cos(7.85398163397448279) = 3.06151588455594315e-16) result of cosh is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.94716 ulp for cosh(-709.782712893384087) = 8.98846567431238985e+307) 0.94716 ulp for cosh(709.782712893384087) = 8.98846567431238985e+307) 0.78779 ulp for cosh(2.00000000000000044) = 3.76219569108363272) 0.77663 ulp for cosh(-4.15908416799999969) = 32.0142462846785705) 0.72231 ulp for cosh(2.76865938331357375) = 8) 0.64084 ulp for cosh(-709.782712882483111) = 8.98846557632933817e+307) 0.64084 ulp for cosh(709.782712882483111) = 8.98846557632933817e+307) 0.59519 ulp for cosh(-7.77861346000000076) = 1194.48027645171828) 0.57360 ulp for cosh(1.96586753199999986) = 3.64056969522960694) 0.56995 ulp for cosh(-4.1590841679989321) = 32.0142462846444076) 0.56235 ulp for cosh(-7.77861346000004072) = 1194.48027645176603) 0.55665 ulp for cosh(-7.37027542199999619) = 794.035871116638646) 0.55278 ulp for cosh(6.72688602200000574) = 417.272830341713473) 0.55138 ulp for cosh(8.9597410960000019) = 3891.67109568961178) 0.55114 ulp for cosh(-475.322357445586931) = 1.34538619847890597e+206) 0.54949 ulp for cosh(-526.447518918487049) = 2.14893105608059935e+228) 0.54939 ulp for cosh(-4.2655372800000011) = 35.6086050271967025) 0.54817 ulp for cosh(0.479282989400001358) = 1.11707165009347387) 0.54733 ulp for cosh(-105.987842953823957) = 5.35679896431098736e+45) 0.54694 ulp for cosh(608.631543841552229) = 1.05752588646374975e+264) result of erf is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.55029 ulp for erf(0.173003437415309991) = 0.19328324616993478) 0.54448 ulp for erf(0.532200885538677615) = 0.54833715828603613) 0.54040 ulp for erf(-0.489341802678973925) = -0.51108390576853624) 0.52689 ulp for erf(-0.237989233146952112) = -0.263557116890746901) 0.52652 ulp for erf(-0.220614686665097565) = -0.244956651014343191) 0.52414 ulp for erf(0.789433081039224605) = 0.735760585524578681) 0.52372 ulp for erf(-0.237989233146952528) = -0.263557116890747345) 0.51817 ulp for erf(1.45550972655508826) = 0.960448401281772002) 0.51604 ulp for erf(-1.29245567966885266) = -0.932421680527195207) 0.51470 ulp for erf(-0.11950033357842324) = -0.134202566094570735) 0.51280 ulp for erf(1.33777652839433969) = 0.9414959220645438) 0.51243 ulp for erf(0.644448162086819432) = 0.637908673562691209) 0.51150 ulp for erf(1.0962664969880267) = 0.878943654476177727) 0.51148 ulp for erf(-1.29245567966885422) = -0.932421680527195651) 0.50985 ulp for erf(1.29335219460623585) = 0.932611808380637064) 0.50972 ulp for erf(1.97479464988596676) = 0.994774300306054737) 0.50840 ulp for erf(1.10546442291395453) = 0.882032710438650058) 0.50762 ulp for erf(0.393287002759313054) = 0.421920264755931529) 0.50750 ulp for erf(1.09626649698801426) = 0.878943654476173508) 0.50749 ulp for erf(-1.2238890926331345) = -0.916519793341092348) result of erfc is never more precise than double 5 results were exact to double the precision 20 largest ulp errors (stored in a double) 1.55074 ulp for erfc(12.1195662651077818) = 7.50949328584440654e-66) 1.54627 ulp for erfc(12.407681680893587) = 6.25827238210652832e-69) 1.52540 ulp for erfc(6.3415708249169338) = 3.010290017264394e-19) 1.51478 ulp for erfc(1.89519053177917973) = 0.00735772712418380007) 1.50971 ulp for erfc(1.55674150125317978) = 0.0276960544716579569) 1.50941 ulp for erfc(1.76289650465688319) = 0.0126628844207123756) 1.50581 ulp for erfc(10.5952364563678607) = 9.35236524157818037e-51) 1.50387 ulp for erfc(1.21790004349117842) = 0.0850023771511491111) 1.50377 ulp for erfc(13.7514437934095568) = 3.06119641471006947e-84) 1.50343 ulp for erfc(6.34157082491695245) = 3.01029001726367322e-19) 1.50331 ulp for erfc(10.1671825617441094) = 7.05395370005023563e-47) 1.50261 ulp for erfc(14.7064886456213166) = 4.50148931866354397e-96) 1.50246 ulp for erfc(13.9712777837570581) = 6.79635392714354128e-87) 1.50196 ulp for erfc(10.2580820608215841) = 1.09212414903953798e-47) 1.50081 ulp for erfc(10.2580820608538001) = 1.09212414831430171e-47) 1.50059 ulp for erfc(4.5064146858337919) = 1.85326270107492819e-10) 1.50056 ulp for erfc(13.2166785083890517) = 5.83783374106980858e-78) 1.50040 ulp for erfc(4.09194005615514733) = 7.17069916342429865e-09) 1.50023 ulp for erfc(4.09194005618304235) = 7.17069916174097949e-09) 1.50017 ulp for erfc(6.2598240838090522) = 8.54055364435861305e-19) result of exp is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.65922 ulp for exp(706.066350976882632) = 4.37240202558957667e+306) 0.63171 ulp for exp(-707.202803456309198) = 7.34048697546507651e-308) 0.60693 ulp for exp(-705.940320071555789) = 2.5942656177251228e-307) 0.59088 ulp for exp(381.00731621999995) = 2.94696514375867702e+165) 0.57893 ulp for exp(383.150276499999904) = 2.51218040420624104e+166) 0.57860 ulp for exp(416.244840379999857) = 5.92703235123047658e+180) 0.57460 ulp for exp(381.007316219997961) = 2.94696514375281397e+165) 0.56649 ulp for exp(-705.220036753764248) = 5.33125566792105009e-307) 0.56386 ulp for exp(709.239939168971432) = 1.04470079809263955e+308) 0.55626 ulp for exp(-707.691345968795076) = 4.5035351325229914e-308) 0.55440 ulp for exp(706.728721583384527) = 8.47976830754043309e+306) 0.54886 ulp for exp(-704.785699728764143) = 8.23113421921572431e-307) 0.54587 ulp for exp(349.987535959999775) = 9.94616368869951691e+151) 0.54165 ulp for exp(709.426437771384485) = 1.25888842500694836e+308) 0.53185 ulp for exp(342.72814747999962) = 6.99750541937962897e+148) 0.53086 ulp for exp(705.865767621886107) = 3.57773230627854927e+306) 0.53040 ulp for exp(-707.770323352763626) = 4.16154038005618274e-308) 0.52792 ulp for exp(-707.765602320195512) = 4.18123359730685418e-308) 0.52494 ulp for exp(-705.977467055763441) = 2.49966442636002169e-307) 0.52458 ulp for exp(405.779366980000759) = 1.68942901862948607e+176) result of j0 is never more precise than double 5 results were exact to double the precision 20 largest ulp errors (stored in a double) 450179410498755.06250 ulp for j0(-2.40482555769577289) = -5.55387629523999699e-17) 450179410498755.06250 ulp for j0(2.40482555769577289) = -5.55387629523999699e-17) 279895209600871.71875 ulp for j0(5.52007811028631057) = -2.66601557278844545e-17) 279895209600871.71875 ulp for j0(-5.52007811028631057) = -2.66601557278844545e-17) 89450214536902.78125 ulp for j0(-2.40482555769577244) = 1.71665267307418125e-16) 89450214536902.78125 ulp for j0(2.40482555769577244) = 1.71665267307418125e-16) 38656385240616.84375 ulp for j0(5.52007811028631146) = 2.76599115676801202e-16) 38656385240616.84375 ulp for j0(-5.52007811028631146) = 2.76599115676801202e-16) 28812044129150.70703 ulp for j0(2.40482555769577022) = 1.32788133240738176e-15) 28812044129150.70703 ulp for j0(-2.40482555769577022) = 1.32788133240738176e-15) 24492349580293.65234 ulp for j0(-8.65372791291101251) = -7.91827641886750548e-17) 24492349580293.65234 ulp for j0(8.65372791291101251) = -7.91827641886750548e-17) 23094638087785.58984 ulp for j0(2.404825557695772) = 3.98869297567236281e-16) 23094638087785.58984 ulp for j0(-2.404825557695772) = 3.98869297567236281e-16) 13294667693825.52930 ulp for j0(11.7915344390142813) = -6.55538183891963364e-17) 13294667693825.52930 ulp for j0(-11.7915344390142813) = -6.55538183891963364e-17) 10582190570101.76367 ulp for j0(8.65372791291101073) = 4.03233236120479744e-16) 10582190570101.76367 ulp for j0(-8.65372791291101073) = 4.03233236120479744e-16) 10202516355074.48438 ulp for j0(5.52007811028631323) = 8.78118879287194124e-16) 10202516355074.48438 ulp for j0(-5.52007811028631323) = 8.78118879287194124e-16) result of j1 is never more precise than double 1 results were exact to double the precision 20 largest ulp errors (stored in a double) 1095190423153233.25000 ulp for j1(3.83170597020751247) = -4.79988093731046467e-17) 1095190423153233.25000 ulp for j1(-3.83170597020751247) = 4.79988093731046467e-17) 212106997701470.87500 ulp for j1(7.01558666981561885) = 2.95606043933087733e-17) 212106997701470.87500 ulp for j1(-7.01558666981561885) = -2.95606043933087733e-17) 106847539303006.62500 ulp for j1(-3.83170597020751202) = -1.19997023432761629e-16) 106847539303006.62500 ulp for j1(3.83170597020751202) = 1.19997023432761629e-16) 96831590405825.92188 ulp for j1(7.01558666981561796) = -2.33528774707139377e-16) 96831590405825.92188 ulp for j1(-7.01558666981561796) = 2.33528774707139377e-16) 96730982098834.46875 ulp for j1(-3.83170597020751336) = 4.23989482795757667e-16) 96730982098834.46875 ulp for j1(3.83170597020751336) = -4.23989482795757667e-16) 82072526676975.34375 ulp for j1(13.3236919363142228) = -5.57707343663311291e-17) 82072526676975.34375 ulp for j1(-13.3236919363142228) = 5.57707343663311291e-17) 65041086217637.58594 ulp for j1(29.0468285349168553) = -4.104066583795784e-17) 65041086217637.58594 ulp for j1(-29.0468285349168553) = 4.104066583795784e-17) 45395132229254.75000 ulp for j1(25.9036720876183821) = -7.61499878764966536e-17) 45395132229254.75000 ulp for j1(-25.9036720876183821) = 7.61499878764966536e-17) 42922241471395.82812 ulp for j1(22.7600843805927724) = -8.28800015790289064e-17) 42922241471395.82812 ulp for j1(-22.7600843805927724) = 8.28800015790289064e-17) 32264607539711.86719 ulp for j1(7.01558666981562151) = 8.24740862573314769e-16) 32264607539711.86719 ulp for j1(-7.01558666981562151) = -8.24740862573314769e-16) result of lgamma is never more precise than double 2 results were exact to double the precision 20 largest ulp errors (stored in a double) 4448368812103571.00000 ulp for lgamma(-2.45702473822080059) = 1.11022302462515654e-16) 1062532076054966.87500 ulp for lgamma(-2.45702473822080103) = -7.21644966006351751e-16) 12841511242762.16016 ulp for lgamma(-2.45702473822079481) = 8.8262730457699945e-15) 9549880344016.57617 ulp for lgamma(-2.45702473822079659) = 6.10622663543836097e-15) 1254117546408.74634 ulp for lgamma(-2.45702473822020551) = 9.01834162903014658e-13) 383651654559.80951 ulp for lgamma(-2.45702473822178824) = -1.49691370410209856e-12) 109535879573.52557 ulp for lgamma(-2.45702473821762934) = 4.80648854050969021e-12) 1265.44669 ulp for lgamma(-3.14373174790000176) = -0.00117338411780398832) 574.49429 ulp for lgamma(-3.14373174789999554) = -0.00117338411775580465) 411.71312 ulp for lgamma(-3.14373174794233901) = -0.00117338444693826371) 177.50051 ulp for lgamma(-3.14373174789977083) = -0.00117338411600897974) 145.49284 ulp for lgamma(-2.4618656217999999) = -0.00722316452873889014) 143.50116 ulp for lgamma(-2.46186562179998036) = -0.00722316452871019088) 122.49209 ulp for lgamma(-3.14373174790000309) = -0.00117338411781464647) 117.45415 ulp for lgamma(-2.7527458524999977) = 0.00994086915156705553) 83.50000 ulp for lgamma(-3.14373174789957499) = -0.0011733841144865309) 75.48339 ulp for lgamma(-2.7527458524999) = 0.00994086915137032401) 73.49898 ulp for lgamma(-3.14373174789996668) = -0.00117338411753153959) 64.50018 ulp for lgamma(-2.46186562180564117) = -0.00722316453702392947) 58.49982 ulp for lgamma(-2.46186562180019619) = -0.00722316452902699302) result of log is never more precise than double 1 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50031 ulp for log(494.794769700016843) = 6.20414306992894993) 0.50030 ulp for log(405.779366979973247) = 6.00580958080573524) 0.50028 ulp for log(6.30543715449980002) = 1.84141230158905422) 0.50027 ulp for log(6.24968839899972561) = 1.83253160634540668) 0.50026 ulp for log(0.647078834200026765) = -0.435287146154171967) 0.50024 ulp for log(0.00754871630001476349) = -4.88637775666545693) 0.50023 ulp for log(5.9492836384998764) = 1.78327081541847399) 0.50022 ulp for log(1.00000006707384692) = 6.70738446716115228e-08) 0.50021 ulp for log(7.69715063049976944) = 2.04085021238794351) 0.50021 ulp for log(0.20622220849999906) = -1.57880100951316571) 0.50020 ulp for log(1.00000005954332205) = 5.9543320278011131e-08) 0.50019 ulp for log(0.741966908100113232) = -0.298450635057113889) 0.50018 ulp for log(371.984589119963573) = 5.91885242631814812) 0.50018 ulp for log(455.712805299969546) = 6.12186279816024026) 0.50017 ulp for log(1.0000060554543142) = 6.0554359800127192e-06) 0.50016 ulp for log(1.6487212707002139) = 0.500000000000051958) 0.50016 ulp for log(8.81375554849720011) = 2.17631363157832425) 0.50015 ulp for log(0.999999991613155004) = -8.38684503143610366e-09) 0.50015 ulp for log(0.547350947299890978) = -0.602665096730792049) 0.50015 ulp for log(0.559076346599994944) = -0.581469238050882353) result of log10 is never more precise than double 1 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50054 ulp for log10(1.00000006707391353) = 2.91298295507387694e-08) 0.50046 ulp for log10(5.32545250349999044) = 0.726356515664524194) 0.50040 ulp for log10(457.554096819951269) = 2.66044244826364462) 0.50039 ulp for log10(1.00000605545456378) = 2.62984254002768479e-06) 0.50038 ulp for log10(0.133877919099995552) = -0.873291046616118116) 0.50037 ulp for log10(0.00999999999999892121) = -2.00000000000004707) 0.50034 ulp for log10(0.586266491299996639) = -0.231904927680093353) 0.50034 ulp for log10(0.206222208500007165) = -0.685664566454834201) 0.50034 ulp for log10(5.32545250349982435) = 0.726356515664510649) 0.50032 ulp for log10(9.15745309749891589) = 0.961774702979544927) 0.50029 ulp for log10(1.00000002015779965) = 8.75442106780916506e-09) 0.50029 ulp for log10(447.928298939961508) = 2.65120850090245419) 0.50029 ulp for log10(1.00000001200265665) = 5.21268751841020956e-09) 0.50028 ulp for log10(1.00000000715134285) = 3.10578872738236112e-09) 0.50027 ulp for log10(1.00000000000004193e-05) = -4.99999999999998224) 0.50025 ulp for log10(999999.999999962165) = 5.99999999999998401) 0.50020 ulp for log10(1.00012207031230016) = 5.30112275534380315e-05) 0.50020 ulp for log10(0.120953929999987428) = -0.917380016102597118) 0.50020 ulp for log10(1.00012207030995137) = 5.30112265334969419e-05) 0.50016 ulp for log10(7.41256848649795153) = 0.869968718941727781) result of pow2_x is never more precise than double 3 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.63404 ulp for pow2_x(7.52530726200001077) = 184.222729413146624) 0.60066 ulp for pow2_x(8.53027063300001664) = 369.71522187337041) 0.59917 ulp for pow2_x(1017.36230617677165) = 1.80538827276126114e+306) 0.57970 ulp for pow2_x(316.377329520000444) = 1.73406803843217256e+95) 0.57546 ulp for pow2_x(-1016.64739414090855) = 9.09157969378803971e-307) 0.56820 ulp for pow2_x(1014.35616669885815) = 2.24715206979264796e+305) 0.56774 ulp for pow2_x(452.550221939999972) = 1.70290863755276761e+136) 0.56411 ulp for pow2_x(1013.86246200524727) = 1.59592523280661627e+305) 0.56222 ulp for pow2_x(-1020.68009909369209) = 5.55487378425806902e-308) 0.56212 ulp for pow2_x(-9.09655899430000403) = 0.00182668173123794056) 0.55869 ulp for pow2_x(1016.46773303910413) = 9.71129773817287682e+305) 0.55595 ulp for pow2_x(1016.62265937919972) = 1.08122167876148373e+306) 0.55571 ulp for pow2_x(0.547350947299999446) = 1.46139983270307239) 0.55550 ulp for pow2_x(359.750008839999964) = 1.97489313988994177e+108) 0.55495 ulp for pow2_x(-1018.43343032583198) = 2.63626391420966538e-307) 0.55303 ulp for pow2_x(8.1931367424999948) = 292.671152707116335) 0.54645 ulp for pow2_x(0.843057167400000029) = 1.79384739987617881) 0.54500 ulp for pow2_x(1014.35616669183958) = 2.24715205886047243e+305) 0.54235 ulp for pow2_x(1022.60280207978724) = 6.82522662148041034e+307) 0.54221 ulp for pow2_x(5.2121906520000012) = 37.070268306664147) result of powx_275 is never more precise than double 1 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.61505 ulp for powx_275(0.158580950400000198) = 0.0063196102507679288) 0.60275 ulp for powx_275(8.53027063299998645) = 363.201578404708584) 0.60186 ulp for powx_275(6.45889553500000257) = 169.018878662948737) 0.58235 ulp for powx_275(6.46123714649998071) = 169.187441662420952) 0.56546 ulp for powx_275(0.298750044200000398) = 0.0360659137765329402) 0.54646 ulp for powx_275(6.45889553500004521) = 169.018878662951806) 0.54456 ulp for powx_275(0.110424804500000043) = 0.00233578710946216132) 0.54362 ulp for powx_275(6.7879528434999985) = 193.76786120511747) 0.54288 ulp for powx_275(0.405036581099999682) = 0.0832931302090510195) 0.54162 ulp for powx_275(6.78704975549999645) = 193.696976075826569) 0.53629 ulp for powx_275(0.340874818200000151) = 0.0518365427126390166) 0.53051 ulp for powx_275(0.0422731612999999729) = 0.000166601151403725006) 0.52990 ulp for powx_275(0.48695826359999983) = 0.138229992792579304) 0.52989 ulp for powx_275(489.597410959999934) = 24949253.716662854) 0.52615 ulp for powx_275(0.581224201900000237) = 0.224877055986263619) 0.52604 ulp for powx_275(306.496561100000122) = 6881298.80838168785) 0.52447 ulp for powx_275(357.344627200000104) = 10495181.559348397) 0.52132 ulp for powx_275(417.253298260000292) = 16073090.5143230967) 0.52035 ulp for powx_275(0.415751382499999766) = 0.089493744688088489) 0.51869 ulp for powx_275(5.21219065200000031) = 93.7142870901810454) result of sin is never more precise than double 37 results were exact to double the precision 20 largest ulp errors (stored in a double) 3991520163434.43408 ulp for sin(80143857.0000000149) = 1.28417554259678546e-10) 389656107664.33649 ulp for sin(59.6902604182060728) = -1.22596160653798414e-15) 348639675278.61682 ulp for sin(53.4070751110264865) = -1.47088287730245959e-15) 307623242892.89722 ulp for sin(47.1238898038469003) = -1.71580414806693504e-15) 287115026700.03741 ulp for sin(21.9911485751285518) = 8.57224447675664081e-16) 287115026700.03741 ulp for sin(43.9822971502571036) = -1.71444889535132816e-15) 287115026700.03741 ulp for sin(-21.9911485751285518) = -8.57224447675664081e-16) 246098594314.31778 ulp for sin(37.6991118430775174) = -1.46952762458685271e-15) 246098594314.31778 ulp for sin(18.8495559215387587) = -7.34763812293426355e-16) 246098594314.31778 ulp for sin(-18.8495559215387587) = 7.34763812293426355e-16) 246098594314.31778 ulp for sin(9.42477796076937935) = 3.67381906146713177e-16) 246098594314.31778 ulp for sin(-9.42477796076937935) = -3.67381906146713177e-16) 205082161928.59814 ulp for sin(-15.7079632679489656) = -6.12303176911188629e-16) 205082161928.59814 ulp for sin(15.7079632679489656) = 6.12303176911188629e-16) 205082161928.59814 ulp for sin(62.8318530717958623) = -2.44921270764475452e-15) 205082161928.59814 ulp for sin(31.4159265358979312) = -1.22460635382237726e-15) 184573945735.73834 ulp for sin(-28.274333882308138) = -1.10214571844013953e-15) 184573945735.73834 ulp for sin(28.274333882308138) = 1.10214571844013953e-15) 184573945735.73834 ulp for sin(56.5486677646162761) = -2.20429143688027906e-15) 164065729542.87851 ulp for sin(6.28318530717958623) = -2.44921270764475452e-16) result of sinh is never more precise than double 36 results were exact to double the precision 20 largest ulp errors (stored in a double) 1.50794 ulp for sinh(-0.701694440599997415) = -0.760711601176329966) 1.50598 ulp for sinh(0.810735118400001897) = 0.902514954843734563) 1.50072 ulp for sinh(0.810735118400007337) = 0.90251495484374189) 1.12754 ulp for sinh(0.881373587019542937) = 1) 1.00849 ulp for sinh(0.124676746921442427) = 0.124999999999999667) 1.00000 ulp for sinh(0.247466461547259764) = 0.249999999999996225) 0.99994 ulp for sinh(0.481211825059468745) = 0.499999999999849343) 0.99292 ulp for sinh(0.1246767469214424) = 0.124999999999999639) 0.86218 ulp for sinh(1.11010098308324818e-08) = 1.11010098308324834e-08) 0.86218 ulp for sinh(1.11010098308325182e-08) = 1.11010098308325198e-08) 0.86218 ulp for sinh(1.11010098308361743e-08) = 1.1101009830836176e-08) 0.84618 ulp for sinh(0.107421759000000283) = 0.107628475955645425) 0.83587 ulp for sinh(0.124676746921442705) = 0.124999999999999972) 0.80341 ulp for sinh(2.00000000000000044) = 3.6268604078470208) 0.75749 ulp for sinh(2.09471254726110878) = 4.0000000000000302) 0.72096 ulp for sinh(1.40436656594276422e-08) = 1.40436656594276438e-08) 0.72096 ulp for sinh(1.40436656594276786e-08) = 1.40436656594276802e-08) 0.72096 ulp for sinh(1.4043665659431247e-08) = 1.40436656594312487e-08) 0.64481 ulp for sinh(-7.77861345999999987) = -1194.47985785955029) 0.60169 ulp for sinh(1.16007481799999979) = 1.43835461106077411) result of sqrt is never more precise than double 2 results were exact to double the precision 20 largest ulp errors (stored in a double) 0.50000 ulp for sqrt(0.999999999999999889) = 0.999999999999999889) 0.50000 ulp for sqrt(15.9999999999999982) = 3.99999999999999956) 0.50000 ulp for sqrt(0.0156249999999999983) = 0.124999999999999986) 0.50000 ulp for sqrt(0.249999999999999972) = 0.499999999999999944) 0.50000 ulp for sqrt(63.9999999999999929) = 7.99999999999999911) 0.50000 ulp for sqrt(0.0624999999999999931) = 0.249999999999999972) 0.50000 ulp for sqrt(3.99999999999999956) = 1.99999999999999978) 0.50000 ulp for sqrt(16.0000000000000036) = 4) 0.50000 ulp for sqrt(0.0156250000000000035) = 0.125) 0.50000 ulp for sqrt(4.00000000000000089) = 2) 0.50000 ulp for sqrt(64.0000000000000142) = 8) 0.50000 ulp for sqrt(1.00000000000000022) = 1) 0.50000 ulp for sqrt(0.250000000000000056) = 0.5) 0.50000 ulp for sqrt(0.0625000000000000139) = 0.25) 0.50000 ulp for sqrt(2.53884156217198101e-308) = 1.59337426933284621e-154) 0.50000 ulp for sqrt(7.05037261855188913) = 2.65525377667594897) 0.50000 ulp for sqrt(9.53144511356327229) = 3.08730385831444742) 0.50000 ulp for sqrt(491.057774316958671) = 22.159823427025735) 0.50000 ulp for sqrt(0.374608653801551006) = 0.6120528194539675) 0.50000 ulp for sqrt(3.25760941642394334e-308) = 1.80488487622450423e-154) result of tan is never more precise than double 4 results were exact to double the precision 20 largest ulp errors (stored in a double) 4995260678252446.00000 ulp for tan(10526671570.5) = -78892343628.3719635) 812420102395551.37500 ulp for tan(1860674085.875) = -47862753368.7851181) 6565818888779.11426 ulp for tan(20035964.2500000037) = -31148389509.9842148) 3991520163434.43408 ulp for tan(80143857.0000000149) = 1.28417554259678546e-10) 389656107664.33649 ulp for tan(59.6902604182060728) = 1.22596160653798414e-15) 348639675278.61682 ulp for tan(53.4070751110264865) = 1.47088287730245959e-15) 307623242892.89722 ulp for tan(47.1238898038469003) = 1.71580414806693504e-15) 287115026700.03741 ulp for tan(-21.9911485751285518) = 8.57224447675664081e-16) 287115026700.03741 ulp for tan(21.9911485751285518) = -8.57224447675664081e-16) 287115026700.03741 ulp for tan(43.9822971502571036) = -1.71444889535132816e-15) 246098594314.31778 ulp for tan(37.6991118430775174) = -1.46952762458685271e-15) 246098594314.31778 ulp for tan(-9.42477796076937935) = 3.67381906146713177e-16) 246098594314.31778 ulp for tan(-18.8495559215387587) = 7.34763812293426355e-16) 246098594314.31778 ulp for tan(18.8495559215387587) = -7.34763812293426355e-16) 246098594314.31778 ulp for tan(9.42477796076937935) = -3.67381906146713177e-16) 205082161928.59814 ulp for tan(-15.7079632679489656) = 6.12303176911188629e-16) 205082161928.59814 ulp for tan(31.4159265358979312) = -1.22460635382237726e-15) 205082161928.59814 ulp for tan(15.7079632679489656) = -6.12303176911188629e-16) 205082161928.59814 ulp for tan(62.8318530717958623) = -2.44921270764475452e-15) 184573945735.73834 ulp for tan(56.5486677646162761) = -2.20429143688027906e-15) result of tanh is never more precise than double 55 results were exact to double the precision 20 largest ulp errors (stored in a double) 1.52273 ulp for tanh(-0.481720016489098624) = -0.447620056232185426) 1.51224 ulp for tanh(0.46952064080734679) = 0.437811920195671556) 1.51146 ulp for tanh(0.962390531000002603) = 0.745341272528029841) 1.50300 ulp for tanh(-0.491538323600000382) = -0.455436527308949457) 1.50195 ulp for tanh(-0.500819921400009083) = -0.462761738210254181) 1.50043 ulp for tanh(-0.477825138199997501) = -0.444500146671642005) 1.50013 ulp for tanh(-0.479878203800091552) = -0.446146062434039203) 1.50005 ulp for tanh(-0.481720016489193659) = -0.447620056232261421) 1.50004 ulp for tanh(-0.481720016490231495) = -0.447620056233091312) 1.50001 ulp for tanh(0.483933816199881739) = 0.449388535461328842) 1.50001 ulp for tanh(-0.250596107799869516) = -0.245478930722700966) 1.50000 ulp for tanh(-0.500819921402840262) = -0.462761738212478901) 1.50000 ulp for tanh(0.469520640807070511) = 0.437811920195448234) 1.50000 ulp for tanh(-0.479878203801267333) = -0.44614606243498095) 1.50000 ulp for tanh(0.196586753201773323) = 0.194092844714392782) 1.50000 ulp for tanh(0.435898091402360521) = 0.410238617555633123) 1.49997 ulp for tanh(-0.50081992140000986) = -0.462761738210254625) 1.49972 ulp for tanh(0.469520640807362721) = 0.437811920195684601) 1.49946 ulp for tanh(0.952019874800003718) = 0.740696125467827482) 1.49942 ulp for tanh(-0.481720016489071479) = -0.447620056232163888) result of y0 is never more precise than double 20 largest ulp errors (stored in a double) 1416944170364155.75000 ulp for y0(0.893576966279167495) = -2.77555756156289135e-17) 957005044970440.50000 ulp for y0(0.893576966279167606) = 6.24500451351650554e-17) 498412046964264.56250 ulp for y0(0.893576966279167717) = 1.59594559789866253e-16) 252436129075417.46875 ulp for y0(7.08605106030177279) = 2.57366028454545643e-17) 145502392036926.96875 ulp for y0(3.95767841931485753) = 1.31846881499878651e-16) 102120554828613.32812 ulp for y0(0.893576966279169493) = 1.71390679426508541e-15) 36648964041474.43750 ulp for y0(35.3464523052143207) = -2.41991292380241248e-17) 25534412787435.53125 ulp for y0(47.9118963315164805) = -2.16687631460015853e-17) 23787329374194.51172 ulp for y0(10.2223450434964178) = -1.98360437439832201e-16) 11842286171911.16602 ulp for y0(0.893576966279168605) = 9.50628464835290288e-16) 9840347435664.23828 ulp for y0(3.95767841931485664) = 4.93933839648799145e-16) 8763010579264.75879 ulp for y0(3.95767841931485309) = 1.92653876102061578e-15) 8673977036907.27148 ulp for y0(7.0860510603017719) = -2.40453403727532621e-16) 8649694640544.91797 ulp for y0(25.9229576531809229) = 3.52735453491345901e-17) 6971793391401.71777 ulp for y0(13.3610974738727624) = -2.42851919436529614e-16) 6804506337957.03613 ulp for y0(13.3610974738727641) = 1.44854342243839592e-16) 6175389682254.33301 ulp for y0(3.95767841931485798) = -4.32930058656317929e-17) 5633809526779.45605 ulp for y0(10.222345043496416) = 2.44889428938064465e-16) 4420103514667.89844 ulp for y0(13.361097473872757) = -1.40597070447763753e-15) 2824879528253.03027 ulp for y0(16.5009224415280897) = 2.002175910375173e-16) result of y1 is never more precise than double 20 largest ulp errors (stored in a double) nan ulp for y1(-2.22507385850720188e-308) = nan) nan ulp for y1(-2.22507385850720138e-308) = nan) 5557275141094985.00000 ulp for y1(2.19714132603101708) = 4.22577429547150317e-17) 2968901295769475.00000 ulp for y1(11.7491548308398812) = 9.13696548375149517e-18) 300261587981486.12500 ulp for y1(5.4296810407941356) = -1.6800729969447571e-16) 219791571341158.75000 ulp for y1(2.19714132603101664) = -2.00724279034896405e-16) 157873329579245.21875 ulp for y1(5.42968104079413472) = 1.37765985749470099e-16) 103969502513396.92188 ulp for y1(30.6182864916411148) = -1.55649435676229031e-17) 77756165491232.76562 ulp for y1(43.1882180973932108) = 5.42093325642464596e-17) 57880301873960.54688 ulp for y1(2.19714132603101486) = -1.119830188299949e-15) 55451412736745.93750 ulp for y1(14.897442128336726) = 1.26785465731639685e-16) 51820020070927.69531 ulp for y1(24.3319425713569117) = 4.72219465345966655e-17) 44283405712302.78906 ulp for y1(8.59600586833117042) = 4.07255350259894696e-16) 40149044256901.60938 ulp for y1(18.043402276727857) = -2.74184604197391083e-16) 24961953077354.48047 ulp for y1(8.59600586833116864) = -7.74452797215537627e-17) 22262910749942.79297 ulp for y1(14.8974421283367242) = -2.40385243027188905e-16) 17384034315647.42969 ulp for y1(5.42968104079413116) = 1.35413883553747496e-15) 16983762551543.88477 ulp for y1(52.6145507671729575) = -2.98191088155093179e-17) 15197192093824.64844 ulp for y1(2.19714132603100687) = -5.28221786933939098e-15) 13289638901809.54492 ulp for y1(5.42968104079414271) = -2.58395226930103462e-15) ===> lgamma Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/lgamma cc -O -pipe -g -std=gnu99 -c lgamma.c cc -O -pipe -g -std=gnu99 -o lgamma lgamma.o -lm ./lgamma ===> nextafter Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/nextafter cc -O -pipe -g -std=gnu99 -c nextafter.c cc -O -pipe -g -std=gnu99 -o nextafter nextafter.o -lm ./nextafter ===> rint Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/rint cc -O -pipe -g -std=gnu99 -c rint.c cc -O -pipe -g -std=gnu99 -o rint rint.o -lm ./rint ===> round Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/round cc -O -pipe -g -std=gnu99 -c round.c cc -O -pipe -g -std=gnu99 -o round round.o -lm ./round ===> tgamma Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/tgamma cc -O -pipe -g -std=gnu99 -c tgamma.c cc -O -pipe -g -std=gnu99 -o tgamma tgamma.o -lm ./tgamma ===> toint Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/toint cc -O -pipe -g -std=gnu99 -c toint.c cc -O -pipe -g -std=gnu99 -o toint toint.o ./toint ===> trivial1 Warning: Object directory not changed from original /home/marino/sanitized/om_regression-5.8.01/trivial1 perl /home/marino/sanitized/om_regression-5.8.01/trivial1/test-fp.pl | diff -u - /home/marino/sanitized/om_regression-5.8.01/trivial1/test-fp.out