Commit 277bac1a authored by Travis Hance's avatar Travis Hance

miscellaneous stuff that gets us a bit farther in test_math

parent 9030ec59
......@@ -16,6 +16,7 @@
#define PYSTON_CAPI_TYPES_H
#include "runtime/capi.h"
#include "runtime/objmodel.h"
#include "runtime/types.h"
namespace pyston {
......@@ -72,8 +73,12 @@ public:
assert(varargs->size() == 0);
rtn = (Box*)self->func(self->passthrough, NULL);
} else if (self->ml_flags == METH_O) {
assert(kwargs->d.size() == 0);
assert(varargs->size() == 1);
if (kwargs->d.size() != 0) {
raiseExcHelper(TypeError, "%s() takes no keyword arguments", self->name);
}
if (varargs->size() != 1) {
raiseExcHelper(TypeError, "%s() takes exactly one argument (%d given)", self->name, varargs->size());
}
rtn = (Box*)self->func(self->passthrough, varargs->elts[0]);
} else {
RELEASE_ASSERT(0, "0x%x", self->ml_flags);
......
......@@ -15,9 +15,11 @@
#include <cfloat>
#include <cmath>
#include <cstring>
#include <gmp.h>
#include "core/types.h"
#include "runtime/inline/boxing.h"
#include "runtime/long.h"
#include "runtime/objmodel.h"
#include "runtime/types.h"
#include "runtime/util.h"
......@@ -33,12 +35,38 @@ extern "C" PyObject* PyFloat_FromString(PyObject* v, char** pend) noexcept {
}
extern "C" double PyFloat_AsDouble(PyObject* o) noexcept {
if (o->cls == float_cls)
assert(o);
if (PyFloat_CheckExact(o))
return static_cast<BoxedFloat*>(o)->d;
else if (isSubclass(o->cls, int_cls))
return static_cast<BoxedInt*>(o)->n;
Py_FatalError("unimplemented");
return 0.0;
// special case: int (avoids all the boxing below, and int_cls->tp_as_number
// isn't implemented at the time of this writing)
// This is an exact check.
if (o->cls == int_cls || o->cls == bool_cls)
return (double)static_cast<BoxedInt*>(o)->n;
// special case: long
if (o->cls == long_cls)
return mpz_get_d(static_cast<BoxedLong*>(o)->n);
// implementation from cpython:
PyNumberMethods* nb;
BoxedFloat* fo;
double val;
if ((nb = Py_TYPE(o)->tp_as_number) == NULL || nb->nb_float == NULL) {
PyErr_SetString(PyExc_TypeError, "a float is required");
return -1;
};
fo = (BoxedFloat*)(*nb->nb_float)(o);
if (fo == NULL)
return -1;
if (!PyFloat_Check(fo)) {
PyErr_SetString(PyExc_TypeError, "nb_float should return float object");
return -1;
}
return static_cast<BoxedFloat*>(fo)->d;
}
template <typename T> static inline void raiseDivZeroExcIfZero(T var) {
......
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======================================
Python IEEE 754 floating point support
======================================
>>> from sys import float_info as FI
>>> from math import *
>>> PI = pi
>>> E = e
You must never compare two floats with == because you are not going to get
what you expect. We treat two floats as equal if the difference between them
is small than epsilon.
>>> EPS = 1E-15
>>> def equal(x, y):
... """Almost equal helper for floats"""
... return abs(x - y) < EPS
NaNs and INFs
=============
In Python 2.6 and newer NaNs (not a number) and infinity can be constructed
from the strings 'inf' and 'nan'.
>>> INF = float('inf')
>>> NINF = float('-inf')
>>> NAN = float('nan')
>>> INF
inf
>>> NINF
-inf
>>> NAN
nan
The math module's ``isnan`` and ``isinf`` functions can be used to detect INF
and NAN:
>>> isinf(INF), isinf(NINF), isnan(NAN)
(True, True, True)
>>> INF == -NINF
True
Infinity
--------
Ambiguous operations like ``0 * inf`` or ``inf - inf`` result in NaN.
>>> INF * 0
nan
>>> INF - INF
nan
>>> INF / INF
nan
However unambigous operations with inf return inf:
>>> INF * INF
inf
>>> 1.5 * INF
inf
>>> 0.5 * INF
inf
>>> INF / 1000
inf
Not a Number
------------
NaNs are never equal to another number, even itself
>>> NAN == NAN
False
>>> NAN < 0
False
>>> NAN >= 0
False
All operations involving a NaN return a NaN except for nan**0 and 1**nan.
>>> 1 + NAN
nan
>>> 1 * NAN
nan
>>> 0 * NAN
nan
>>> 1 ** NAN
1.0
>>> NAN ** 0
1.0
>>> 0 ** NAN
nan
>>> (1.0 + FI.epsilon) * NAN
nan
Misc Functions
==============
The power of 1 raised to x is always 1.0, even for special values like 0,
infinity and NaN.
>>> pow(1, 0)
1.0
>>> pow(1, INF)
1.0
>>> pow(1, -INF)
1.0
>>> pow(1, NAN)
1.0
The power of 0 raised to x is defined as 0, if x is positive. Negative
values are a domain error or zero division error and NaN result in a
silent NaN.
>>> pow(0, 0)
1.0
>>> pow(0, INF)
0.0
>>> pow(0, -INF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> 0 ** -1
Traceback (most recent call last):
...
ZeroDivisionError: 0.0 cannot be raised to a negative power
>>> pow(0, NAN)
nan
Trigonometric Functions
=======================
>>> sin(INF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> sin(NINF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> sin(NAN)
nan
>>> cos(INF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> cos(NINF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> cos(NAN)
nan
>>> tan(INF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> tan(NINF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> tan(NAN)
nan
Neither pi nor tan are exact, but you can assume that tan(pi/2) is a large value
and tan(pi) is a very small value:
>>> tan(PI/2) > 1E10
True
>>> -tan(-PI/2) > 1E10
True
>>> tan(PI) < 1E-15
True
>>> asin(NAN), acos(NAN), atan(NAN)
(nan, nan, nan)
>>> asin(INF), asin(NINF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> acos(INF), acos(NINF)
Traceback (most recent call last):
...
ValueError: math domain error
>>> equal(atan(INF), PI/2), equal(atan(NINF), -PI/2)
(True, True)
Hyberbolic Functions
====================
-- Testcases for functions in math.
--
-- Each line takes the form:
--
-- <testid> <function> <input_value> -> <output_value> <flags>
--
-- where:
--
-- <testid> is a short name identifying the test,
--
-- <function> is the function to be tested (exp, cos, asinh, ...),
--
-- <input_value> is a string representing a floating-point value
--
-- <output_value> is the expected (ideal) output value, again
-- represented as a string.
--
-- <flags> is a list of the floating-point flags required by C99
--
-- The possible flags are:
--
-- divide-by-zero : raised when a finite input gives a
-- mathematically infinite result.
--
-- overflow : raised when a finite input gives a finite result that
-- is too large to fit in the usual range of an IEEE 754 double.
--
-- invalid : raised for invalid inputs (e.g., sqrt(-1))
--
-- ignore-sign : indicates that the sign of the result is
-- unspecified; e.g., if the result is given as inf,
-- then both -inf and inf should be accepted as correct.
--
-- Flags may appear in any order.
--
-- Lines beginning with '--' (like this one) start a comment, and are
-- ignored. Blank lines, or lines containing only whitespace, are also
-- ignored.
-- Many of the values below were computed with the help of
-- version 2.4 of the MPFR library for multiple-precision
-- floating-point computations with correct rounding. All output
-- values in this file are (modulo yet-to-be-discovered bugs)
-- correctly rounded, provided that each input and output decimal
-- floating-point value below is interpreted as a representation of
-- the corresponding nearest IEEE 754 double-precision value. See the
-- MPFR homepage at http://www.mpfr.org for more information about the
-- MPFR project.
-------------------------
-- erf: error function --
-------------------------
erf0000 erf 0.0 -> 0.0
erf0001 erf -0.0 -> -0.0
erf0002 erf inf -> 1.0
erf0003 erf -inf -> -1.0
erf0004 erf nan -> nan
-- tiny values
erf0010 erf 1e-308 -> 1.1283791670955125e-308
erf0011 erf 5e-324 -> 4.9406564584124654e-324
erf0012 erf 1e-10 -> 1.1283791670955126e-10
-- small integers
erf0020 erf 1 -> 0.84270079294971489
erf0021 erf 2 -> 0.99532226501895271
erf0022 erf 3 -> 0.99997790950300136
erf0023 erf 4 -> 0.99999998458274209
erf0024 erf 5 -> 0.99999999999846256
erf0025 erf 6 -> 1.0
erf0030 erf -1 -> -0.84270079294971489
erf0031 erf -2 -> -0.99532226501895271
erf0032 erf -3 -> -0.99997790950300136
erf0033 erf -4 -> -0.99999998458274209
erf0034 erf -5 -> -0.99999999999846256
erf0035 erf -6 -> -1.0
-- huge values should all go to +/-1, depending on sign
erf0040 erf -40 -> -1.0
erf0041 erf 1e16 -> 1.0
erf0042 erf -1e150 -> -1.0
erf0043 erf 1.7e308 -> 1.0
-- Issue 8986: inputs x with exp(-x*x) near the underflow threshold
-- incorrectly signalled overflow on some platforms.
erf0100 erf 26.2 -> 1.0
erf0101 erf 26.4 -> 1.0
erf0102 erf 26.6 -> 1.0
erf0103 erf 26.8 -> 1.0
erf0104 erf 27.0 -> 1.0
erf0105 erf 27.2 -> 1.0
erf0106 erf 27.4 -> 1.0
erf0107 erf 27.6 -> 1.0
erf0110 erf -26.2 -> -1.0
erf0111 erf -26.4 -> -1.0
erf0112 erf -26.6 -> -1.0
erf0113 erf -26.8 -> -1.0
erf0114 erf -27.0 -> -1.0
erf0115 erf -27.2 -> -1.0
erf0116 erf -27.4 -> -1.0
erf0117 erf -27.6 -> -1.0
----------------------------------------
-- erfc: complementary error function --
----------------------------------------
erfc0000 erfc 0.0 -> 1.0
erfc0001 erfc -0.0 -> 1.0
erfc0002 erfc inf -> 0.0
erfc0003 erfc -inf -> 2.0
erfc0004 erfc nan -> nan
-- tiny values
erfc0010 erfc 1e-308 -> 1.0
erfc0011 erfc 5e-324 -> 1.0
erfc0012 erfc 1e-10 -> 0.99999999988716204
-- small integers
erfc0020 erfc 1 -> 0.15729920705028513
erfc0021 erfc 2 -> 0.0046777349810472662
erfc0022 erfc 3 -> 2.2090496998585441e-05
erfc0023 erfc 4 -> 1.541725790028002e-08
erfc0024 erfc 5 -> 1.5374597944280349e-12
erfc0025 erfc 6 -> 2.1519736712498913e-17
erfc0030 erfc -1 -> 1.8427007929497148
erfc0031 erfc -2 -> 1.9953222650189528
erfc0032 erfc -3 -> 1.9999779095030015
erfc0033 erfc -4 -> 1.9999999845827421
erfc0034 erfc -5 -> 1.9999999999984626
erfc0035 erfc -6 -> 2.0
-- as x -> infinity, erfc(x) behaves like exp(-x*x)/x/sqrt(pi)
erfc0040 erfc 20 -> 5.3958656116079012e-176
erfc0041 erfc 25 -> 8.3001725711965228e-274
erfc0042 erfc 27 -> 5.2370464393526292e-319
erfc0043 erfc 28 -> 0.0
-- huge values
erfc0050 erfc -40 -> 2.0
erfc0051 erfc 1e16 -> 0.0
erfc0052 erfc -1e150 -> 2.0
erfc0053 erfc 1.7e308 -> 0.0
-- Issue 8986: inputs x with exp(-x*x) near the underflow threshold
-- incorrectly signalled overflow on some platforms.
erfc0100 erfc 26.2 -> 1.6432507924389461e-300
erfc0101 erfc 26.4 -> 4.4017768588035426e-305
erfc0102 erfc 26.6 -> 1.0885125885442269e-309
erfc0103 erfc 26.8 -> 2.4849621571966629e-314
erfc0104 erfc 27.0 -> 5.2370464393526292e-319
erfc0105 erfc 27.2 -> 9.8813129168249309e-324
erfc0106 erfc 27.4 -> 0.0
erfc0107 erfc 27.6 -> 0.0
erfc0110 erfc -26.2 -> 2.0
erfc0111 erfc -26.4 -> 2.0
erfc0112 erfc -26.6 -> 2.0
erfc0113 erfc -26.8 -> 2.0
erfc0114 erfc -27.0 -> 2.0
erfc0115 erfc -27.2 -> 2.0
erfc0116 erfc -27.4 -> 2.0
erfc0117 erfc -27.6 -> 2.0
---------------------------------------------------------
-- lgamma: log of absolute value of the gamma function --
---------------------------------------------------------
-- special values
lgam0000 lgamma 0.0 -> inf divide-by-zero
lgam0001 lgamma -0.0 -> inf divide-by-zero
lgam0002 lgamma inf -> inf
lgam0003 lgamma -inf -> inf
lgam0004 lgamma nan -> nan
-- negative integers
lgam0010 lgamma -1 -> inf divide-by-zero
lgam0011 lgamma -2 -> inf divide-by-zero
lgam0012 lgamma -1e16 -> inf divide-by-zero
lgam0013 lgamma -1e300 -> inf divide-by-zero
lgam0014 lgamma -1.79e308 -> inf divide-by-zero
-- small positive integers give factorials
lgam0020 lgamma 1 -> 0.0
lgam0021 lgamma 2 -> 0.0
lgam0022 lgamma 3 -> 0.69314718055994529
lgam0023 lgamma 4 -> 1.791759469228055
lgam0024 lgamma 5 -> 3.1780538303479458
lgam0025 lgamma 6 -> 4.7874917427820458
-- half integers
lgam0030 lgamma 0.5 -> 0.57236494292470008
lgam0031 lgamma 1.5 -> -0.12078223763524522
lgam0032 lgamma 2.5 -> 0.28468287047291918
lgam0033 lgamma 3.5 -> 1.2009736023470743
lgam0034 lgamma -0.5 -> 1.2655121234846454
lgam0035 lgamma -1.5 -> 0.86004701537648098
lgam0036 lgamma -2.5 -> -0.056243716497674054
lgam0037 lgamma -3.5 -> -1.309006684993042
-- values near 0
lgam0040 lgamma 0.1 -> 2.252712651734206
lgam0041 lgamma 0.01 -> 4.5994798780420219
lgam0042 lgamma 1e-8 -> 18.420680738180209
lgam0043 lgamma 1e-16 -> 36.841361487904734
lgam0044 lgamma 1e-30 -> 69.077552789821368
lgam0045 lgamma 1e-160 -> 368.41361487904732
lgam0046 lgamma 1e-308 -> 709.19620864216608
lgam0047 lgamma 5.6e-309 -> 709.77602713741896
lgam0048 lgamma 5.5e-309 -> 709.79404564292167
lgam0049 lgamma 1e-309 -> 711.49879373516012
lgam0050 lgamma 1e-323 -> 743.74692474082133
lgam0051 lgamma 5e-324 -> 744.44007192138122
lgam0060 lgamma -0.1 -> 2.3689613327287886
lgam0061 lgamma -0.01 -> 4.6110249927528013
lgam0062 lgamma -1e-8 -> 18.420680749724522
lgam0063 lgamma -1e-16 -> 36.841361487904734
lgam0064 lgamma -1e-30 -> 69.077552789821368
lgam0065 lgamma -1e-160 -> 368.41361487904732
lgam0066 lgamma -1e-308 -> 709.19620864216608
lgam0067 lgamma -5.6e-309 -> 709.77602713741896
lgam0068 lgamma -5.5e-309 -> 709.79404564292167
lgam0069 lgamma -1e-309 -> 711.49879373516012
lgam0070 lgamma -1e-323 -> 743.74692474082133
lgam0071 lgamma -5e-324 -> 744.44007192138122
-- values near negative integers
lgam0080 lgamma -0.99999999999999989 -> 36.736800569677101
lgam0081 lgamma -1.0000000000000002 -> 36.043653389117154
lgam0082 lgamma -1.9999999999999998 -> 35.350506208557213
lgam0083 lgamma -2.0000000000000004 -> 34.657359027997266
lgam0084 lgamma -100.00000000000001 -> -331.85460524980607
lgam0085 lgamma -99.999999999999986 -> -331.85460524980596
-- large inputs
lgam0100 lgamma 170 -> 701.43726380873704
lgam0101 lgamma 171 -> 706.57306224578736
lgam0102 lgamma 171.624 -> 709.78077443669895
lgam0103 lgamma 171.625 -> 709.78591682948365
lgam0104 lgamma 172 -> 711.71472580228999
lgam0105 lgamma 2000 -> 13198.923448054265
lgam0106 lgamma 2.55998332785163e305 -> 1.7976931348623099e+308
lgam0107 lgamma 2.55998332785164e305 -> inf overflow
lgam0108 lgamma 1.7e308 -> inf overflow
-- inputs for which gamma(x) is tiny
lgam0120 lgamma -100.5 -> -364.90096830942736
lgam0121 lgamma -160.5 -> -656.88005261126432
lgam0122 lgamma -170.5 -> -707.99843314507882
lgam0123 lgamma -171.5 -> -713.14301641168481
lgam0124 lgamma -176.5 -> -738.95247590846486
lgam0125 lgamma -177.5 -> -744.13144651738037
lgam0126 lgamma -178.5 -> -749.3160351186001
lgam0130 lgamma -1000.5 -> -5914.4377011168517
lgam0131 lgamma -30000.5 -> -279278.6629959144
lgam0132 lgamma -4503599627370495.5 -> -1.5782258434492883e+17
-- results close to 0: positive argument ...
lgam0150 lgamma 0.99999999999999989 -> 6.4083812134800075e-17
lgam0151 lgamma 1.0000000000000002 -> -1.2816762426960008e-16
lgam0152 lgamma 1.9999999999999998 -> -9.3876980655431170e-17
lgam0153 lgamma 2.0000000000000004 -> 1.8775396131086244e-16
-- ... and negative argument
lgam0160 lgamma -2.7476826467 -> -5.2477408147689136e-11
lgam0161 lgamma -2.457024738 -> 3.3464637541912932e-10
---------------------------
-- gamma: Gamma function --
---------------------------
-- special values
gam0000 gamma 0.0 -> inf divide-by-zero
gam0001 gamma -0.0 -> -inf divide-by-zero
gam0002 gamma inf -> inf
gam0003 gamma -inf -> nan invalid
gam0004 gamma nan -> nan
-- negative integers inputs are invalid
gam0010 gamma -1 -> nan invalid
gam0011 gamma -2 -> nan invalid
gam0012 gamma -1e16 -> nan invalid
gam0013 gamma -1e300 -> nan invalid
-- small positive integers give factorials
gam0020 gamma 1 -> 1
gam0021 gamma 2 -> 1
gam0022 gamma 3 -> 2
gam0023 gamma 4 -> 6
gam0024 gamma 5 -> 24
gam0025 gamma 6 -> 120
-- half integers
gam0030 gamma 0.5 -> 1.7724538509055161
gam0031 gamma 1.5 -> 0.88622692545275805
gam0032 gamma 2.5 -> 1.3293403881791370
gam0033 gamma 3.5 -> 3.3233509704478426
gam0034 gamma -0.5 -> -3.5449077018110322
gam0035 gamma -1.5 -> 2.3632718012073548
gam0036 gamma -2.5 -> -0.94530872048294190
gam0037 gamma -3.5 -> 0.27008820585226911
-- values near 0
gam0040 gamma 0.1 -> 9.5135076986687306
gam0041 gamma 0.01 -> 99.432585119150602
gam0042 gamma 1e-8 -> 99999999.422784343
gam0043 gamma 1e-16 -> 10000000000000000
gam0044 gamma 1e-30 -> 9.9999999999999988e+29
gam0045 gamma 1e-160 -> 1.0000000000000000e+160
gam0046 gamma 1e-308 -> 1.0000000000000000e+308
gam0047 gamma 5.6e-309 -> 1.7857142857142848e+308
gam0048 gamma 5.5e-309 -> inf overflow
gam0049 gamma 1e-309 -> inf overflow
gam0050 gamma 1e-323 -> inf overflow
gam0051 gamma 5e-324 -> inf overflow
gam0060 gamma -0.1 -> -10.686287021193193
gam0061 gamma -0.01 -> -100.58719796441078
gam0062 gamma -1e-8 -> -100000000.57721567
gam0063 gamma -1e-16 -> -10000000000000000
gam0064 gamma -1e-30 -> -9.9999999999999988e+29
gam0065 gamma -1e-160 -> -1.0000000000000000e+160
gam0066 gamma -1e-308 -> -1.0000000000000000e+308
gam0067 gamma -5.6e-309 -> -1.7857142857142848e+308
gam0068 gamma -5.5e-309 -> -inf overflow
gam0069 gamma -1e-309 -> -inf overflow
gam0070 gamma -1e-323 -> -inf overflow
gam0071 gamma -5e-324 -> -inf overflow
-- values near negative integers
gam0080 gamma -0.99999999999999989 -> -9007199254740992.0
gam0081 gamma -1.0000000000000002 -> 4503599627370495.5
gam0082 gamma -1.9999999999999998 -> 2251799813685248.5
gam0083 gamma -2.0000000000000004 -> -1125899906842623.5
gam0084 gamma -100.00000000000001 -> -7.5400833348831090e-145
gam0085 gamma -99.999999999999986 -> 7.5400833348840962e-145
-- large inputs
gam0100 gamma 170 -> 4.2690680090047051e+304
gam0101 gamma 171 -> 7.2574156153079990e+306
gam0102 gamma 171.624 -> 1.7942117599248104e+308
gam0103 gamma 171.625 -> inf overflow
gam0104 gamma 172 -> inf overflow
gam0105 gamma 2000 -> inf overflow
gam0106 gamma 1.7e308 -> inf overflow
-- inputs for which gamma(x) is tiny
gam0120 gamma -100.5 -> -3.3536908198076787e-159
gam0121 gamma -160.5 -> -5.2555464470078293e-286
gam0122 gamma -170.5 -> -3.3127395215386074e-308
gam0123 gamma -171.5 -> 1.9316265431711902e-310
gam0124 gamma -176.5 -> -1.1956388629358166e-321
gam0125 gamma -177.5 -> 4.9406564584124654e-324
gam0126 gamma -178.5 -> -0.0
gam0127 gamma -179.5 -> 0.0
gam0128 gamma -201.0001 -> 0.0
gam0129 gamma -202.9999 -> -0.0
gam0130 gamma -1000.5 -> -0.0
gam0131 gamma -1000000000.3 -> -0.0
gam0132 gamma -4503599627370495.5 -> 0.0
-- inputs that cause problems for the standard reflection formula,
-- thanks to loss of accuracy in 1-x
gam0140 gamma -63.349078729022985 -> 4.1777971677761880e-88
gam0141 gamma -127.45117632943295 -> 1.1831110896236810e-214
-----------------------------------------------------------
-- expm1: exp(x) - 1, without precision loss for small x --
-----------------------------------------------------------
-- special values
expm10000 expm1 0.0 -> 0.0
expm10001 expm1 -0.0 -> -0.0
expm10002 expm1 inf -> inf
expm10003 expm1 -inf -> -1.0
expm10004 expm1 nan -> nan
-- expm1(x) ~ x for tiny x
expm10010 expm1 5e-324 -> 5e-324
expm10011 expm1 1e-320 -> 1e-320
expm10012 expm1 1e-300 -> 1e-300
expm10013 expm1 1e-150 -> 1e-150
expm10014 expm1 1e-20 -> 1e-20
expm10020 expm1 -5e-324 -> -5e-324
expm10021 expm1 -1e-320 -> -1e-320
expm10022 expm1 -1e-300 -> -1e-300
expm10023 expm1 -1e-150 -> -1e-150
expm10024 expm1 -1e-20 -> -1e-20
-- moderate sized values, where direct evaluation runs into trouble
expm10100 expm1 1e-10 -> 1.0000000000500000e-10
expm10101 expm1 -9.9999999999999995e-08 -> -9.9999995000000163e-8
expm10102 expm1 3.0000000000000001e-05 -> 3.0000450004500034e-5
expm10103 expm1 -0.0070000000000000001 -> -0.0069755570667648951
expm10104 expm1 -0.071499208740094633 -> -0.069002985744820250
expm10105 expm1 -0.063296004180116799 -> -0.061334416373633009
expm10106 expm1 0.02390954035597756 -> 0.024197665143819942
expm10107 expm1 0.085637352649044901 -> 0.089411184580357767
expm10108 expm1 0.5966174947411006 -> 0.81596588596501485
expm10109 expm1 0.30247206212075139 -> 0.35319987035848677
expm10110 expm1 0.74574727375889516 -> 1.1080161116737459
expm10111 expm1 0.97767512926555711 -> 1.6582689207372185
expm10112 expm1 0.8450154566787712 -> 1.3280137976535897
expm10113 expm1 -0.13979260323125264 -> -0.13046144381396060
expm10114 expm1 -0.52899322039643271 -> -0.41080213643695923
expm10115 expm1 -0.74083261478900631 -> -0.52328317124797097
expm10116 expm1 -0.93847766984546055 -> -0.60877704724085946
expm10117 expm1 10.0 -> 22025.465794806718
expm10118 expm1 27.0 -> 532048240600.79865
expm10119 expm1 123 -> 2.6195173187490626e+53
expm10120 expm1 -12.0 -> -0.99999385578764666
expm10121 expm1 -35.100000000000001 -> -0.99999999999999944
-- extreme negative values
expm10201 expm1 -37.0 -> -0.99999999999999989
expm10200 expm1 -38.0 -> -1.0
expm10210 expm1 -710.0 -> -1.0
-- the formula expm1(x) = 2 * sinh(x/2) * exp(x/2) doesn't work so
-- well when exp(x/2) is subnormal or underflows to zero; check we're
-- not using it!
expm10211 expm1 -1420.0 -> -1.0
expm10212 expm1 -1450.0 -> -1.0
expm10213 expm1 -1500.0 -> -1.0
expm10214 expm1 -1e50 -> -1.0
expm10215 expm1 -1.79e308 -> -1.0
-- extreme positive values
expm10300 expm1 300 -> 1.9424263952412558e+130
expm10301 expm1 700 -> 1.0142320547350045e+304
-- the next test (expm10302) is disabled because it causes failure on
-- OS X 10.4/Intel: apparently all values over 709.78 produce an
-- overflow on that platform. See issue #7575.
-- expm10302 expm1 709.78271289328393 -> 1.7976931346824240e+308
expm10303 expm1 709.78271289348402 -> inf overflow
expm10304 expm1 1000 -> inf overflow
expm10305 expm1 1e50 -> inf overflow
expm10306 expm1 1.79e308 -> inf overflow
-- weaker version of expm10302
expm10307 expm1 709.5 -> 1.3549863193146328e+308
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