| var sinh_data = [ |
| [-497.181640625, -6.902103625349695], |
| [-495.216552734375, -6.898143347143859], |
| [-488.0980224609375, -6.883664481302669], |
| [-486.4609375, -6.880304842490273], |
| [-482.2261962890625, -6.871561546509046], |
| [-468.167236328125, -6.841973895837549], |
| [-465.553955078125, -6.836376331805493], |
| [-464.288330078125, -6.833654100575195], |
| [-463.558837890625, -6.8320816635009045], |
| [-453.82861328125, -6.8108680173663085], |
| [-448.7835693359375, -6.799689165151487], |
| [-446.0499267578125, -6.793579326246197], |
| [-432.4046630859375, -6.762510387544996], |
| [-424.145751953125, -6.743225720989222], |
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| [-402.4595947265625, -6.690743430063694], |
| [-390.1383056640625, -6.6596501292114505], |
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| [-381.0023193359375, -6.635954365364267], |
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| [-313.12744140625, -6.439759999015992], |
| [-311.6180419921875, -6.434927968512049], |
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| [-291.9320068359375, -6.369671035834965], |
| [-289.791015625, -6.362310184909175], |
| [-288.07568359375, -6.356373428913315], |
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| [1.0221641311147778e-9, 1.0221641311147778e-9], |
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| [70207360, 18.760110887365155], |
| [154231424, 19.547111966180875], |
| [294509056, 20.193967491567523], |
| [1070557184, 21.484592263156223], |
| [1957922816, 22.088297141021556], |
| [3912507392, 22.780591462699917], |
| [7279233024, 23.401438520318692], |
| [9665245184, 23.684949498080787], |
| [22627590144, 24.5355829820426], |
| [60601991168, 25.520740767599584], |
| [134018236416, 26.31438890085422], |
| [204864946176, 26.73876398039979], |
| [284346286080, 27.06660583008718], |
| [914576637952, 28.234874284944635], |
| [1581915832320, 28.78280496108106] |
| ]; |
| |
| var sloppy_tolerance = 1000; // FIXME |
| |
| for (var [x, y] of sinh_data) |
| assertNear(Math.asinh(x), y, sloppy_tolerance); |
| |
| assertNear(Math.asinh(1e300), 691.4686750787737, sloppy_tolerance); |
| assertNear(Math.asinh(1e-300), 1e-300, sloppy_tolerance); |
| assertNear(Math.asinh(1e-5), 0.000009999999999833334, sloppy_tolerance); |
| assertNear(Math.asinh(0.3), 0.29567304756342244, sloppy_tolerance); |
| assertNear(Math.asinh(1), 0.881373587019543, sloppy_tolerance); |
| |
| for (var i = 0; i <= 80; i++) { |
| var x = (i - 40) / 4; |
| assertNear(Math.asinh(Math.sinh(x)), x, sloppy_tolerance); |
| } |
| |
| for (var i = -20; i < 20; i++) |
| assertNear(Math.asinh(Math.sinh(i)), i, sloppy_tolerance); |
| |
| reportCompare(0, 0, "ok"); |
| |
