// Copyright 2018 The Abseil Authors. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // https://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "absl/strings/charconv.h" #include #include #include "gmock/gmock.h" #include "gtest/gtest.h" #include "absl/strings/internal/pow10_helper.h" #include "absl/strings/str_cat.h" #include "absl/strings/str_format.h" #ifdef _MSC_FULL_VER #define ABSL_COMPILER_DOES_EXACT_ROUNDING 0 #define ABSL_STRTOD_HANDLES_NAN_CORRECTLY 0 #else #define ABSL_COMPILER_DOES_EXACT_ROUNDING 1 #define ABSL_STRTOD_HANDLES_NAN_CORRECTLY 1 #endif namespace { using absl::strings_internal::Pow10; #if ABSL_COMPILER_DOES_EXACT_ROUNDING // Tests that the given string is accepted by absl::from_chars, and that it // converts exactly equal to the given number. void TestDoubleParse(absl::string_view str, double expected_number) { SCOPED_TRACE(str); double actual_number = 0.0; absl::from_chars_result result = absl::from_chars(str.data(), str.data() + str.length(), actual_number); EXPECT_EQ(result.ec, std::errc()); EXPECT_EQ(result.ptr, str.data() + str.length()); EXPECT_EQ(actual_number, expected_number); } void TestFloatParse(absl::string_view str, float expected_number) { SCOPED_TRACE(str); float actual_number = 0.0; absl::from_chars_result result = absl::from_chars(str.data(), str.data() + str.length(), actual_number); EXPECT_EQ(result.ec, std::errc()); EXPECT_EQ(result.ptr, str.data() + str.length()); EXPECT_EQ(actual_number, expected_number); } // Tests that the given double or single precision floating point literal is // parsed correctly by absl::from_chars. // // These convenience macros assume that the C++ compiler being used also does // fully correct decimal-to-binary conversions. #define FROM_CHARS_TEST_DOUBLE(number) \ { \ TestDoubleParse(#number, number); \ TestDoubleParse("-" #number, -number); \ } #define FROM_CHARS_TEST_FLOAT(number) \ { \ TestFloatParse(#number, number##f); \ TestFloatParse("-" #number, -number##f); \ } TEST(FromChars, NearRoundingCases) { // Cases from "A Program for Testing IEEE Decimal-Binary Conversion" // by Vern Paxson. // Forms that should round towards zero. (These are the hardest cases for // each decimal mantissa size.) FROM_CHARS_TEST_DOUBLE(5.e125); FROM_CHARS_TEST_DOUBLE(69.e267); FROM_CHARS_TEST_DOUBLE(999.e-026); FROM_CHARS_TEST_DOUBLE(7861.e-034); FROM_CHARS_TEST_DOUBLE(75569.e-254); FROM_CHARS_TEST_DOUBLE(928609.e-261); FROM_CHARS_TEST_DOUBLE(9210917.e080); FROM_CHARS_TEST_DOUBLE(84863171.e114); FROM_CHARS_TEST_DOUBLE(653777767.e273); FROM_CHARS_TEST_DOUBLE(5232604057.e-298); FROM_CHARS_TEST_DOUBLE(27235667517.e-109); FROM_CHARS_TEST_DOUBLE(653532977297.e-123); FROM_CHARS_TEST_DOUBLE(3142213164987.e-294); FROM_CHARS_TEST_DOUBLE(46202199371337.e-072); FROM_CHARS_TEST_DOUBLE(231010996856685.e-073); FROM_CHARS_TEST_DOUBLE(9324754620109615.e212); FROM_CHARS_TEST_DOUBLE(78459735791271921.e049); FROM_CHARS_TEST_DOUBLE(272104041512242479.e200); FROM_CHARS_TEST_DOUBLE(6802601037806061975.e198); FROM_CHARS_TEST_DOUBLE(20505426358836677347.e-221); FROM_CHARS_TEST_DOUBLE(836168422905420598437.e-234); FROM_CHARS_TEST_DOUBLE(4891559871276714924261.e222); FROM_CHARS_TEST_FLOAT(5.e-20); FROM_CHARS_TEST_FLOAT(67.e14); FROM_CHARS_TEST_FLOAT(985.e15); FROM_CHARS_TEST_FLOAT(7693.e-42); FROM_CHARS_TEST_FLOAT(55895.e-16); FROM_CHARS_TEST_FLOAT(996622.e-44); FROM_CHARS_TEST_FLOAT(7038531.e-32); FROM_CHARS_TEST_FLOAT(60419369.e-46); FROM_CHARS_TEST_FLOAT(702990899.e-20); FROM_CHARS_TEST_FLOAT(6930161142.e-48); FROM_CHARS_TEST_FLOAT(25933168707.e-13); FROM_CHARS_TEST_FLOAT(596428896559.e20); // Similarly, forms that should round away from zero. FROM_CHARS_TEST_DOUBLE(9.e-265); FROM_CHARS_TEST_DOUBLE(85.e-037); FROM_CHARS_TEST_DOUBLE(623.e100); FROM_CHARS_TEST_DOUBLE(3571.e263); FROM_CHARS_TEST_DOUBLE(81661.e153); FROM_CHARS_TEST_DOUBLE(920657.e-023); FROM_CHARS_TEST_DOUBLE(4603285.e-024); FROM_CHARS_TEST_DOUBLE(87575437.e-309); FROM_CHARS_TEST_DOUBLE(245540327.e122); FROM_CHARS_TEST_DOUBLE(6138508175.e120); FROM_CHARS_TEST_DOUBLE(83356057653.e193); FROM_CHARS_TEST_DOUBLE(619534293513.e124); FROM_CHARS_TEST_DOUBLE(2335141086879.e218); FROM_CHARS_TEST_DOUBLE(36167929443327.e-159); FROM_CHARS_TEST_DOUBLE(609610927149051.e-255); FROM_CHARS_TEST_DOUBLE(3743626360493413.e-165); FROM_CHARS_TEST_DOUBLE(94080055902682397.e-242); FROM_CHARS_TEST_DOUBLE(899810892172646163.e283); FROM_CHARS_TEST_DOUBLE(7120190517612959703.e120); FROM_CHARS_TEST_DOUBLE(25188282901709339043.e-252); FROM_CHARS_TEST_DOUBLE(308984926168550152811.e-052); FROM_CHARS_TEST_DOUBLE(6372891218502368041059.e064); FROM_CHARS_TEST_FLOAT(3.e-23); FROM_CHARS_TEST_FLOAT(57.e18); FROM_CHARS_TEST_FLOAT(789.e-35); FROM_CHARS_TEST_FLOAT(2539.e-18); FROM_CHARS_TEST_FLOAT(76173.e28); FROM_CHARS_TEST_FLOAT(887745.e-11); FROM_CHARS_TEST_FLOAT(5382571.e-37); FROM_CHARS_TEST_FLOAT(82381273.e-35); FROM_CHARS_TEST_FLOAT(750486563.e-38); FROM_CHARS_TEST_FLOAT(3752432815.e-39); FROM_CHARS_TEST_FLOAT(75224575729.e-45); FROM_CHARS_TEST_FLOAT(459926601011.e15); } #undef FROM_CHARS_TEST_DOUBLE #undef FROM_CHARS_TEST_FLOAT #endif float ToFloat(absl::string_view s) { float f; absl::from_chars(s.data(), s.data() + s.size(), f); return f; } double ToDouble(absl::string_view s) { double d; absl::from_chars(s.data(), s.data() + s.size(), d); return d; } // A duplication of the test cases in "NearRoundingCases" above, but with // expected values expressed with integers, using ldexp/ldexpf. These test // cases will work even on compilers that do not accurately round floating point // literals. TEST(FromChars, NearRoundingCasesExplicit) { EXPECT_EQ(ToDouble("5.e125"), ldexp(6653062250012735, 365)); EXPECT_EQ(ToDouble("69.e267"), ldexp(4705683757438170, 841)); EXPECT_EQ(ToDouble("999.e-026"), ldexp(6798841691080350, -129)); EXPECT_EQ(ToDouble("7861.e-034"), ldexp(8975675289889240, -153)); EXPECT_EQ(ToDouble("75569.e-254"), ldexp(6091718967192243, -880)); EXPECT_EQ(ToDouble("928609.e-261"), ldexp(7849264900213743, -900)); EXPECT_EQ(ToDouble("9210917.e080"), ldexp(8341110837370930, 236)); EXPECT_EQ(ToDouble("84863171.e114"), ldexp(4625202867375927, 353)); EXPECT_EQ(ToDouble("653777767.e273"), ldexp(5068902999763073, 884)); EXPECT_EQ(ToDouble("5232604057.e-298"), ldexp(5741343011915040, -1010)); EXPECT_EQ(ToDouble("27235667517.e-109"), ldexp(6707124626673586, -380)); EXPECT_EQ(ToDouble("653532977297.e-123"), ldexp(7078246407265384, -422)); EXPECT_EQ(ToDouble("3142213164987.e-294"), ldexp(8219991337640559, -988)); EXPECT_EQ(ToDouble("46202199371337.e-072"), ldexp(5224462102115359, -246)); EXPECT_EQ(ToDouble("231010996856685.e-073"), ldexp(5224462102115359, -247)); EXPECT_EQ(ToDouble("9324754620109615.e212"), ldexp(5539753864394442, 705)); EXPECT_EQ(ToDouble("78459735791271921.e049"), ldexp(8388176519442766, 166)); EXPECT_EQ(ToDouble("272104041512242479.e200"), ldexp(5554409530847367, 670)); EXPECT_EQ(ToDouble("6802601037806061975.e198"), ldexp(5554409530847367, 668)); EXPECT_EQ(ToDouble("20505426358836677347.e-221"), ldexp(4524032052079546, -722)); EXPECT_EQ(ToDouble("836168422905420598437.e-234"), ldexp(5070963299887562, -760)); EXPECT_EQ(ToDouble("4891559871276714924261.e222"), ldexp(6452687840519111, 757)); EXPECT_EQ(ToFloat("5.e-20"), ldexpf(15474250, -88)); EXPECT_EQ(ToFloat("67.e14"), ldexpf(12479722, 29)); EXPECT_EQ(ToFloat("985.e15"), ldexpf(14333636, 36)); EXPECT_EQ(ToFloat("7693.e-42"), ldexpf(10979816, -150)); EXPECT_EQ(ToFloat("55895.e-16"), ldexpf(12888509, -61)); EXPECT_EQ(ToFloat("996622.e-44"), ldexpf(14224264, -150)); EXPECT_EQ(ToFloat("7038531.e-32"), ldexpf(11420669, -107)); EXPECT_EQ(ToFloat("60419369.e-46"), ldexpf(8623340, -150)); EXPECT_EQ(ToFloat("702990899.e-20"), ldexpf(16209866, -61)); EXPECT_EQ(ToFloat("6930161142.e-48"), ldexpf(9891056, -150)); EXPECT_EQ(ToFloat("25933168707.e-13"), ldexpf(11138211, -32)); EXPECT_EQ(ToFloat("596428896559.e20"), ldexpf(12333860, 82)); EXPECT_EQ(ToDouble("9.e-265"), ldexp(8168427841980010, -930)); EXPECT_EQ(ToDouble("85.e-037"), ldexp(6360455125664090, -169)); EXPECT_EQ(ToDouble("623.e100"), ldexp(6263531988747231, 289)); EXPECT_EQ(ToDouble("3571.e263"), ldexp(6234526311072170, 833)); EXPECT_EQ(ToDouble("81661.e153"), ldexp(6696636728760206, 472)); EXPECT_EQ(ToDouble("920657.e-023"), ldexp(5975405561110124, -109)); EXPECT_EQ(ToDouble("4603285.e-024"), ldexp(5975405561110124, -110)); EXPECT_EQ(ToDouble("87575437.e-309"), ldexp(8452160731874668, -1053)); EXPECT_EQ(ToDouble("245540327.e122"), ldexp(4985336549131723, 381)); EXPECT_EQ(ToDouble("6138508175.e120"), ldexp(4985336549131723, 379)); EXPECT_EQ(ToDouble("83356057653.e193"), ldexp(5986732817132056, 625)); EXPECT_EQ(ToDouble("619534293513.e124"), ldexp(4798406992060657, 399)); EXPECT_EQ(ToDouble("2335141086879.e218"), ldexp(5419088166961646, 713)); EXPECT_EQ(ToDouble("36167929443327.e-159"), ldexp(8135819834632444, -536)); EXPECT_EQ(ToDouble("609610927149051.e-255"), ldexp(4576664294594737, -850)); EXPECT_EQ(ToDouble("3743626360493413.e-165"), ldexp(6898586531774201, -549)); EXPECT_EQ(ToDouble("94080055902682397.e-242"), ldexp(6273271706052298, -800)); EXPECT_EQ(ToDouble("899810892172646163.e283"), ldexp(7563892574477827, 947)); EXPECT_EQ(ToDouble("7120190517612959703.e120"), ldexp(5385467232557565, 409)); EXPECT_EQ(ToDouble("25188282901709339043.e-252"), ldexp(5635662608542340, -825)); EXPECT_EQ(ToDouble("308984926168550152811.e-052"), ldexp(5644774693823803, -157)); EXPECT_EQ(ToDouble("6372891218502368041059.e064"), ldexp(4616868614322430, 233)); EXPECT_EQ(ToFloat("3.e-23"), ldexpf(9507380, -98)); EXPECT_EQ(ToFloat("57.e18"), ldexpf(12960300, 42)); EXPECT_EQ(ToFloat("789.e-35"), ldexpf(10739312, -130)); EXPECT_EQ(ToFloat("2539.e-18"), ldexpf(11990089, -72)); EXPECT_EQ(ToFloat("76173.e28"), ldexpf(9845130, 86)); EXPECT_EQ(ToFloat("887745.e-11"), ldexpf(9760860, -40)); EXPECT_EQ(ToFloat("5382571.e-37"), ldexpf(11447463, -124)); EXPECT_EQ(ToFloat("82381273.e-35"), ldexpf(8554961, -113)); EXPECT_EQ(ToFloat("750486563.e-38"), ldexpf(9975678, -120)); EXPECT_EQ(ToFloat("3752432815.e-39"), ldexpf(9975678, -121)); EXPECT_EQ(ToFloat("75224575729.e-45"), ldexpf(13105970, -137)); EXPECT_EQ(ToFloat("459926601011.e15"), ldexpf(12466336, 65)); } // Common test logic for converting a string which lies exactly halfway between // two target floats. // // mantissa and exponent represent the precise value between two floating point // numbers, `expected_low` and `expected_high`. The floating point // representation to parse in `StrCat(mantissa, "e", exponent)`. // // This function checks that an input just slightly less than the exact value // is rounded down to `expected_low`, and an input just slightly greater than // the exact value is rounded up to `expected_high`. // // The exact value should round to `expected_half`, which must be either // `expected_low` or `expected_high`. template void TestHalfwayValue(const std::string& mantissa, int exponent, FloatType expected_low, FloatType expected_high, FloatType expected_half) { std::string low_rep = mantissa; low_rep[low_rep.size() - 1] -= 1; absl::StrAppend(&low_rep, std::string(1000, '9'), "e", exponent); FloatType actual_low = 0; absl::from_chars(low_rep.data(), low_rep.data() + low_rep.size(), actual_low); EXPECT_EQ(expected_low, actual_low); std::string high_rep = absl::StrCat(mantissa, std::string(1000, '0'), "1e", exponent); FloatType actual_high = 0; absl::from_chars(high_rep.data(), high_rep.data() + high_rep.size(), actual_high); EXPECT_EQ(expected_high, actual_high); std::string halfway_rep = absl::StrCat(mantissa, "e", exponent); FloatType actual_half = 0; absl::from_chars(halfway_rep.data(), halfway_rep.data() + halfway_rep.size(), actual_half); EXPECT_EQ(expected_half, actual_half); } TEST(FromChars, DoubleRounding) { const double zero = 0.0; const double first_subnormal = nextafter(zero, 1.0); const double second_subnormal = nextafter(first_subnormal, 1.0); const double first_normal = DBL_MIN; const double last_subnormal = nextafter(first_normal, 0.0); const double second_normal = nextafter(first_normal, 1.0); const double last_normal = DBL_MAX; const double penultimate_normal = nextafter(last_normal, 0.0); // Various test cases for numbers between two representable floats. Each // call to TestHalfwayValue tests a number just below and just above the // halfway point, as well as the number exactly between them. // Test between zero and first_subnormal. Round-to-even tie rounds down. TestHalfwayValue( "2." "470328229206232720882843964341106861825299013071623822127928412503377536" "351043759326499181808179961898982823477228588654633283551779698981993873" "980053909390631503565951557022639229085839244910518443593180284993653615" "250031937045767824921936562366986365848075700158576926990370631192827955" "855133292783433840935197801553124659726357957462276646527282722005637400" "648549997709659947045402082816622623785739345073633900796776193057750674" "017632467360096895134053553745851666113422376667860416215968046191446729" "184030053005753084904876539171138659164623952491262365388187963623937328" "042389101867234849766823508986338858792562830275599565752445550725518931" "369083625477918694866799496832404970582102851318545139621383772282614543" "7693412532098591327667236328125", -324, zero, first_subnormal, zero); // first_subnormal and second_subnormal. Round-to-even tie rounds up. TestHalfwayValue( "7." "410984687618698162648531893023320585475897039214871466383785237510132609" "053131277979497545424539885696948470431685765963899850655339096945981621" "940161728171894510697854671067917687257517734731555330779540854980960845" "750095811137303474765809687100959097544227100475730780971111893578483867" "565399878350301522805593404659373979179073872386829939581848166016912201" "945649993128979841136206248449867871357218035220901702390328579173252022" "052897402080290685402160661237554998340267130003581248647904138574340187" "552090159017259254714629617513415977493871857473787096164563890871811984" "127167305601704549300470526959016576377688490826798697257336652176556794" "107250876433756084600398490497214911746308553955635418864151316847843631" "3080237596295773983001708984375", -324, first_subnormal, second_subnormal, second_subnormal); // last_subnormal and first_normal. Round-to-even tie rounds up. TestHalfwayValue( "2." "225073858507201136057409796709131975934819546351645648023426109724822222" "021076945516529523908135087914149158913039621106870086438694594645527657" "207407820621743379988141063267329253552286881372149012981122451451889849" "057222307285255133155755015914397476397983411801999323962548289017107081" "850690630666655994938275772572015763062690663332647565300009245888316433" "037779791869612049497390377829704905051080609940730262937128958950003583" "799967207254304360284078895771796150945516748243471030702609144621572289" "880258182545180325707018860872113128079512233426288368622321503775666622" "503982534335974568884423900265498198385487948292206894721689831099698365" "846814022854243330660339850886445804001034933970427567186443383770486037" "86162277173854562306587467901408672332763671875", -308, last_subnormal, first_normal, first_normal); // first_normal and second_normal. Round-to-even tie rounds down. TestHalfwayValue( "2." "225073858507201630123055637955676152503612414573018013083228724049586647" "606759446192036794116886953213985520549032000903434781884412325572184367" "563347617020518175998922941393629966742598285899994830148971433555578567" "693279306015978183162142425067962460785295885199272493577688320732492479" "924816869232247165964934329258783950102250973957579510571600738343645738" "494324192997092179207389919761694314131497173265255020084997973676783743" "155205818804439163810572367791175177756227497413804253387084478193655533" "073867420834526162513029462022730109054820067654020201547112002028139700" "141575259123440177362244273712468151750189745559978653234255886219611516" "335924167958029604477064946470184777360934300451421683607013647479513962" "13837722826145437693412532098591327667236328125", -308, first_normal, second_normal, first_normal); // penultimate_normal and last_normal. Round-to-even rounds down. TestHalfwayValue( "1." "797693134862315608353258760581052985162070023416521662616611746258695532" "672923265745300992879465492467506314903358770175220871059269879629062776" "047355692132901909191523941804762171253349609463563872612866401980290377" "995141836029815117562837277714038305214839639239356331336428021390916694" "57927874464075218944", 308, penultimate_normal, last_normal, penultimate_normal); } // Same test cases as DoubleRounding, now with new and improved Much Smaller // Precision! TEST(FromChars, FloatRounding) { const float zero = 0.0; const float first_subnormal = nextafterf(zero, 1.0); const float second_subnormal = nextafterf(first_subnormal, 1.0); const float first_normal = FLT_MIN; const float last_subnormal = nextafterf(first_normal, 0.0); const float second_normal = nextafterf(first_normal, 1.0); const float last_normal = FLT_MAX; const float penultimate_normal = nextafterf(last_normal, 0.0); // Test between zero and first_subnormal. Round-to-even tie rounds down. TestHalfwayValue( "7." "006492321624085354618647916449580656401309709382578858785341419448955413" "42930300743319094181060791015625", -46, zero, first_subnormal, zero); // first_subnormal and second_subnormal. Round-to-even tie rounds up. TestHalfwayValue( "2." "101947696487225606385594374934874196920392912814773657635602425834686624" "028790902229957282543182373046875", -45, first_subnormal, second_subnormal, second_subnormal); // last_subnormal and first_normal. Round-to-even tie rounds up. TestHalfwayValue( "1." "175494280757364291727882991035766513322858992758990427682963118425003064" "9651730385585324256680905818939208984375", -38, last_subnormal, first_normal, first_normal); // first_normal and second_normal. Round-to-even tie rounds down. TestHalfwayValue( "1." "175494420887210724209590083408724842314472120785184615334540294131831453" "9442813071445925743319094181060791015625", -38, first_normal, second_normal, first_normal); // penultimate_normal and last_normal. Round-to-even rounds down. TestHalfwayValue("3.40282336497324057985868971510891282432", 38, penultimate_normal, last_normal, penultimate_normal); } TEST(FromChars, Underflow) { // Check that underflow is handled correctly, according to the specification // in DR 3081. double d; float f; absl::from_chars_result result; std::string negative_underflow = "-1e-1000"; const char* begin = negative_underflow.data(); const char* end = begin + negative_underflow.size(); d = 100.0; result = absl::from_chars(begin, end, d); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_TRUE(std::signbit(d)); // negative EXPECT_GE(d, -std::numeric_limits::min()); f = 100.0; result = absl::from_chars(begin, end, f); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_TRUE(std::signbit(f)); // negative EXPECT_GE(f, -std::numeric_limits::min()); std::string positive_underflow = "1e-1000"; begin = positive_underflow.data(); end = begin + positive_underflow.size(); d = -100.0; result = absl::from_chars(begin, end, d); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_FALSE(std::signbit(d)); // positive EXPECT_LE(d, std::numeric_limits::min()); f = -100.0; result = absl::from_chars(begin, end, f); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_FALSE(std::signbit(f)); // positive EXPECT_LE(f, std::numeric_limits::min()); } TEST(FromChars, Overflow) { // Check that overflow is handled correctly, according to the specification // in DR 3081. double d; float f; absl::from_chars_result result; std::string negative_overflow = "-1e1000"; const char* begin = negative_overflow.data(); const char* end = begin + negative_overflow.size(); d = 100.0; result = absl::from_chars(begin, end, d); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_TRUE(std::signbit(d)); // negative EXPECT_EQ(d, -std::numeric_limits::max()); f = 100.0; result = absl::from_chars(begin, end, f); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_TRUE(std::signbit(f)); // negative EXPECT_EQ(f, -std::numeric_limits::max()); std::string positive_overflow = "1e1000"; begin = positive_overflow.data(); end = begin + positive_overflow.size(); d = -100.0; result = absl::from_chars(begin, end, d); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_FALSE(std::signbit(d)); // positive EXPECT_EQ(d, std::numeric_limits::max()); f = -100.0; result = absl::from_chars(begin, end, f); EXPECT_EQ(result.ptr, end); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_FALSE(std::signbit(f)); // positive EXPECT_EQ(f, std::numeric_limits::max()); } TEST(FromChars, RegressionTestsFromFuzzer) { absl::string_view src = "0x21900000p00000000099"; float f; auto result = absl::from_chars(src.data(), src.data() + src.size(), f); EXPECT_EQ(result.ec, std::errc::result_out_of_range); } TEST(FromChars, ReturnValuePtr) { // Check that `ptr` points one past the number scanned, even if that number // is not representable. double d; absl::from_chars_result result; std::string normal = "3.14@#$%@#$%"; result = absl::from_chars(normal.data(), normal.data() + normal.size(), d); EXPECT_EQ(result.ec, std::errc()); EXPECT_EQ(result.ptr - normal.data(), 4); std::string overflow = "1e1000@#$%@#$%"; result = absl::from_chars(overflow.data(), overflow.data() + overflow.size(), d); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_EQ(result.ptr - overflow.data(), 6); std::string garbage = "#$%@#$%"; result = absl::from_chars(garbage.data(), garbage.data() + garbage.size(), d); EXPECT_EQ(result.ec, std::errc::invalid_argument); EXPECT_EQ(result.ptr - garbage.data(), 0); } // Check for a wide range of inputs that strtod() and absl::from_chars() exactly // agree on the conversion amount. // // This test assumes the platform's strtod() uses perfect round_to_nearest // rounding. TEST(FromChars, TestVersusStrtod) { for (int mantissa = 1000000; mantissa <= 9999999; mantissa += 501) { for (int exponent = -300; exponent < 300; ++exponent) { std::string candidate = absl::StrCat(mantissa, "e", exponent); double strtod_value = strtod(candidate.c_str(), nullptr); double absl_value = 0; absl::from_chars(candidate.data(), candidate.data() + candidate.size(), absl_value); ASSERT_EQ(strtod_value, absl_value) << candidate; } } } // Check for a wide range of inputs that strtof() and absl::from_chars() exactly // agree on the conversion amount. // // This test assumes the platform's strtof() uses perfect round_to_nearest // rounding. TEST(FromChars, TestVersusStrtof) { for (int mantissa = 1000000; mantissa <= 9999999; mantissa += 501) { for (int exponent = -43; exponent < 32; ++exponent) { std::string candidate = absl::StrCat(mantissa, "e", exponent); float strtod_value = strtof(candidate.c_str(), nullptr); float absl_value = 0; absl::from_chars(candidate.data(), candidate.data() + candidate.size(), absl_value); ASSERT_EQ(strtod_value, absl_value) << candidate; } } } // Tests if two floating point values have identical bit layouts. (EXPECT_EQ // is not suitable for NaN testing, since NaNs are never equal.) template bool Identical(Float a, Float b) { return 0 == memcmp(&a, &b, sizeof(Float)); } // Check that NaNs are parsed correctly. The spec requires that // std::from_chars on "NaN(123abc)" return the same value as std::nan("123abc"). // How such an n-char-sequence affects the generated NaN is unspecified, so we // just test for symmetry with std::nan and strtod here. // // (In Linux, this parses the value as a number and stuffs that number into the // free bits of a quiet NaN.) TEST(FromChars, NaNDoubles) { for (std::string n_char_sequence : {"", "1", "2", "3", "fff", "FFF", "200000", "400000", "4000000000000", "8000000000000", "abc123", "legal_but_unexpected", "99999999999999999999999", "_"}) { std::string input = absl::StrCat("nan(", n_char_sequence, ")"); SCOPED_TRACE(input); double from_chars_double; absl::from_chars(input.data(), input.data() + input.size(), from_chars_double); double std_nan_double = std::nan(n_char_sequence.c_str()); EXPECT_TRUE(Identical(from_chars_double, std_nan_double)); // Also check that we match strtod()'s behavior. This test assumes that the // platform has a compliant strtod(). #if ABSL_STRTOD_HANDLES_NAN_CORRECTLY double strtod_double = strtod(input.c_str(), nullptr); EXPECT_TRUE(Identical(from_chars_double, strtod_double)); #endif // ABSL_STRTOD_HANDLES_NAN_CORRECTLY // Check that we can parse a negative NaN std::string negative_input = "-" + input; double negative_from_chars_double; absl::from_chars(negative_input.data(), negative_input.data() + negative_input.size(), negative_from_chars_double); EXPECT_TRUE(std::signbit(negative_from_chars_double)); EXPECT_FALSE(Identical(negative_from_chars_double, from_chars_double)); from_chars_double = std::copysign(from_chars_double, -1.0); EXPECT_TRUE(Identical(negative_from_chars_double, from_chars_double)); } } TEST(FromChars, NaNFloats) { for (std::string n_char_sequence : {"", "1", "2", "3", "fff", "FFF", "200000", "400000", "4000000000000", "8000000000000", "abc123", "legal_but_unexpected", "99999999999999999999999", "_"}) { std::string input = absl::StrCat("nan(", n_char_sequence, ")"); SCOPED_TRACE(input); float from_chars_float; absl::from_chars(input.data(), input.data() + input.size(), from_chars_float); float std_nan_float = std::nanf(n_char_sequence.c_str()); EXPECT_TRUE(Identical(from_chars_float, std_nan_float)); // Also check that we match strtof()'s behavior. This test assumes that the // platform has a compliant strtof(). #if ABSL_STRTOD_HANDLES_NAN_CORRECTLY float strtof_float = strtof(input.c_str(), nullptr); EXPECT_TRUE(Identical(from_chars_float, strtof_float)); #endif // ABSL_STRTOD_HANDLES_NAN_CORRECTLY // Check that we can parse a negative NaN std::string negative_input = "-" + input; float negative_from_chars_float; absl::from_chars(negative_input.data(), negative_input.data() + negative_input.size(), negative_from_chars_float); EXPECT_TRUE(std::signbit(negative_from_chars_float)); EXPECT_FALSE(Identical(negative_from_chars_float, from_chars_float)); // Use the (float, float) overload of std::copysign to prevent narrowing; // see https://gcc.gnu.org/bugzilla/show_bug.cgi?id=98251. from_chars_float = std::copysign(from_chars_float, -1.0f); EXPECT_TRUE(Identical(negative_from_chars_float, from_chars_float)); } } // Returns an integer larger than step. The values grow exponentially. int NextStep(int step) { return step + (step >> 2) + 1; } // Test a conversion on a family of input strings, checking that the calculation // is correct for in-bounds values, and that overflow and underflow are done // correctly for out-of-bounds values. // // input_generator maps from an integer index to a string to test. // expected_generator maps from an integer index to an expected Float value. // from_chars conversion of input_generator(i) should result in // expected_generator(i). // // lower_bound and upper_bound denote the smallest and largest values for which // the conversion is expected to succeed. template void TestOverflowAndUnderflow( const std::function& input_generator, const std::function& expected_generator, int lower_bound, int upper_bound) { // test legal values near lower_bound int index, step; for (index = lower_bound, step = 1; index < upper_bound; index += step, step = NextStep(step)) { std::string input = input_generator(index); SCOPED_TRACE(input); Float expected = expected_generator(index); Float actual; auto result = absl::from_chars(input.data(), input.data() + input.size(), actual); EXPECT_EQ(result.ec, std::errc()); EXPECT_EQ(expected, actual) << absl::StrFormat("%a vs %a", expected, actual); } // test legal values near upper_bound for (index = upper_bound, step = 1; index > lower_bound; index -= step, step = NextStep(step)) { std::string input = input_generator(index); SCOPED_TRACE(input); Float expected = expected_generator(index); Float actual; auto result = absl::from_chars(input.data(), input.data() + input.size(), actual); EXPECT_EQ(result.ec, std::errc()); EXPECT_EQ(expected, actual) << absl::StrFormat("%a vs %a", expected, actual); } // Test underflow values below lower_bound for (index = lower_bound - 1, step = 1; index > -1000000; index -= step, step = NextStep(step)) { std::string input = input_generator(index); SCOPED_TRACE(input); Float actual; auto result = absl::from_chars(input.data(), input.data() + input.size(), actual); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_LT(actual, 1.0); // check for underflow } // Test overflow values above upper_bound for (index = upper_bound + 1, step = 1; index < 1000000; index += step, step = NextStep(step)) { std::string input = input_generator(index); SCOPED_TRACE(input); Float actual; auto result = absl::from_chars(input.data(), input.data() + input.size(), actual); EXPECT_EQ(result.ec, std::errc::result_out_of_range); EXPECT_GT(actual, 1.0); // check for overflow } } // Check that overflow and underflow are caught correctly for hex doubles. // // The largest representable double is 0x1.fffffffffffffp+1023, and the // smallest representable subnormal is 0x0.0000000000001p-1022, which equals // 0x1p-1074. Therefore 1023 and -1074 are the limits of acceptable exponents // in this test. TEST(FromChars, HexdecimalDoubleLimits) { auto input_gen = [](int index) { return absl::StrCat("0x1.0p", index); }; auto expected_gen = [](int index) { return std::ldexp(1.0, index); }; TestOverflowAndUnderflow(input_gen, expected_gen, -1074, 1023); } // Check that overflow and underflow are caught correctly for hex floats. // // The largest representable float is 0x1.fffffep+127, and the smallest // representable subnormal is 0x0.000002p-126, which equals 0x1p-149. // Therefore 127 and -149 are the limits of acceptable exponents in this test. TEST(FromChars, HexdecimalFloatLimits) { auto input_gen = [](int index) { return absl::StrCat("0x1.0p", index); }; auto expected_gen = [](int index) { return std::ldexp(1.0f, index); }; TestOverflowAndUnderflow(input_gen, expected_gen, -149, 127); } // Check that overflow and underflow are caught correctly for decimal doubles. // // The largest representable double is about 1.8e308, and the smallest // representable subnormal is about 5e-324. '1e-324' therefore rounds away from // the smallest representable positive value. -323 and 308 are the limits of // acceptable exponents in this test. TEST(FromChars, DecimalDoubleLimits) { auto input_gen = [](int index) { return absl::StrCat("1.0e", index); }; auto expected_gen = [](int index) { return Pow10(index); }; TestOverflowAndUnderflow(input_gen, expected_gen, -323, 308); } // Check that overflow and underflow are caught correctly for decimal floats. // // The largest representable float is about 3.4e38, and the smallest // representable subnormal is about 1.45e-45. '1e-45' therefore rounds towards // the smallest representable positive value. -45 and 38 are the limits of // acceptable exponents in this test. TEST(FromChars, DecimalFloatLimits) { auto input_gen = [](int index) { return absl::StrCat("1.0e", index); }; auto expected_gen = [](int index) { return Pow10(index); }; TestOverflowAndUnderflow(input_gen, expected_gen, -45, 38); } } // namespace