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8377603: Review worst-case testing of inverse hyperbolic methods
Reviewed-by: darcy
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@ -2233,7 +2233,7 @@ public class HyperbolicTests {
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}
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/**
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* Test accuracy of {Math, StrictMath}.tanh using quad precision
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* Test accuracy of {Math, StrictMath}.atanh using quad precision
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* tanh implementation as the reference. There are additional tests.
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* The specified accuracy is 2.5 ulps.
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*
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@ -595,6 +595,13 @@ public class HyperbolicTests {
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{0x1.fffffffffff92p+1, 0x1.0c1f8a6e80edp+1},
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{0x1.0108b83c4bbc8p-1, 0x1.ee9c256f3947ep-2},
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{-0x1.c41e527b70f43p-3, -0x1.c0863c7dece22p-3},
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// Julia worst case
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{-0x1.02657ff36d5f3p-2, -0x1.ff75bb69b0bf6p-3},
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// Empirical worst-case points in other libraries with
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// larger worst-case errors than FDLIBM
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{0x1.0ab3fc30267c2p-1, 0x1.ffd39fc024fbp-2},
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};
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for (double[] testCase: testCases) {
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@ -643,6 +650,15 @@ public class HyperbolicTests {
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{0x1.ff66e0de4dc6fp+1023, 0x1.633cc2ae1c934p+9},
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{0x1.f97ccb0aef314p+11, 0x1.1ff088806d82ep+3},
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{0x1.fdf28623ef923p+1021, 0x1.628af341989dap+9},
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// Julia worst case
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{0x1.0001ff6afc4bap+0, 0x1.ffb5238940116p-8},
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// Empirical worst-case points in other libraries with
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// larger worst-case errors than FDLIBM
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{0x1.0007fd4307b75p+0, 0x1.ffa704d280935p-7},
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{0x1.071334daf83adp+0, 0x1.e063ca7176ffdp-3},
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{0x1.1d7bc19163966p+0, 0x1.e6db4d68a00dcp-2},
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};
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for (double[] testCase: testCases) {
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@ -709,6 +725,15 @@ public class HyperbolicTests {
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{0x1.ffffffffffffep-2, 0x1.193ea7aad0309p-1},
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{0x1.ffffffffffffbp-1, 0x1.1e9067763b478p+4},
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{0x1.ffffffffffffep-1, 0x1.25e4f7b2737fap+4},
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// Julia worst case
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{-0x1.f97fabc0650c4p-4, -0x1.fc16bb2fd3672p-4},
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// Empirical worst-case points in other libraries with
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// larger worst-case errors than FDLIBM
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{0x1.ffd834a270fp-10, 0x1.ffd85f432fed2p-10},
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{-0x1.ffbe8dd88527fp-9, -0x1.ffbf38422c2dbp-9},
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{-0x1.e7c1f36602014p-4, -0x1.ea153d6c96817p-4},
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};
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for (double[] testCase: testCases)
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