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authororivej <[email protected]>2022-02-10 16:44:49 +0300
committerDaniil Cherednik <[email protected]>2022-02-10 16:44:49 +0300
commit718c552901d703c502ccbefdfc3c9028d608b947 (patch)
tree46534a98bbefcd7b1f3faa5b52c138ab27db75b7 /contrib/tools/python3/src/Modules/cmathmodule.c
parente9656aae26e0358d5378e5b63dcac5c8dbe0e4d0 (diff)
Restoring authorship annotation for <[email protected]>. Commit 1 of 2.
Diffstat (limited to 'contrib/tools/python3/src/Modules/cmathmodule.c')
-rw-r--r--contrib/tools/python3/src/Modules/cmathmodule.c2792
1 files changed, 1396 insertions, 1396 deletions
diff --git a/contrib/tools/python3/src/Modules/cmathmodule.c b/contrib/tools/python3/src/Modules/cmathmodule.c
index 5eac4b4940b..eb87a84d323 100644
--- a/contrib/tools/python3/src/Modules/cmathmodule.c
+++ b/contrib/tools/python3/src/Modules/cmathmodule.c
@@ -1,1405 +1,1405 @@
-/* Complex math module */
-
-/* much code borrowed from mathmodule.c */
-
-#include "Python.h"
+/* Complex math module */
+
+/* much code borrowed from mathmodule.c */
+
+#include "Python.h"
#include "pycore_dtoa.h"
-#include "_math.h"
-/* we need DBL_MAX, DBL_MIN, DBL_EPSILON, DBL_MANT_DIG and FLT_RADIX from
- float.h. We assume that FLT_RADIX is either 2 or 16. */
-#include <float.h>
-
-#include "clinic/cmathmodule.c.h"
-/*[clinic input]
-module cmath
-[clinic start generated code]*/
-/*[clinic end generated code: output=da39a3ee5e6b4b0d input=308d6839f4a46333]*/
-
-/*[python input]
-class Py_complex_protected_converter(Py_complex_converter):
- def modify(self):
+#include "_math.h"
+/* we need DBL_MAX, DBL_MIN, DBL_EPSILON, DBL_MANT_DIG and FLT_RADIX from
+ float.h. We assume that FLT_RADIX is either 2 or 16. */
+#include <float.h>
+
+#include "clinic/cmathmodule.c.h"
+/*[clinic input]
+module cmath
+[clinic start generated code]*/
+/*[clinic end generated code: output=da39a3ee5e6b4b0d input=308d6839f4a46333]*/
+
+/*[python input]
+class Py_complex_protected_converter(Py_complex_converter):
+ def modify(self):
return 'errno = 0;'
-
-
-class Py_complex_protected_return_converter(CReturnConverter):
- type = "Py_complex"
-
- def render(self, function, data):
- self.declare(data)
- data.return_conversion.append("""
-if (errno == EDOM) {
- PyErr_SetString(PyExc_ValueError, "math domain error");
- goto exit;
-}
-else if (errno == ERANGE) {
- PyErr_SetString(PyExc_OverflowError, "math range error");
- goto exit;
-}
-else {
- return_value = PyComplex_FromCComplex(_return_value);
-}
-""".strip())
-[python start generated code]*/
+
+
+class Py_complex_protected_return_converter(CReturnConverter):
+ type = "Py_complex"
+
+ def render(self, function, data):
+ self.declare(data)
+ data.return_conversion.append("""
+if (errno == EDOM) {
+ PyErr_SetString(PyExc_ValueError, "math domain error");
+ goto exit;
+}
+else if (errno == ERANGE) {
+ PyErr_SetString(PyExc_OverflowError, "math range error");
+ goto exit;
+}
+else {
+ return_value = PyComplex_FromCComplex(_return_value);
+}
+""".strip())
+[python start generated code]*/
/*[python end generated code: output=da39a3ee5e6b4b0d input=8b27adb674c08321]*/
-
-#if (FLT_RADIX != 2 && FLT_RADIX != 16)
-#error "Modules/cmathmodule.c expects FLT_RADIX to be 2 or 16"
-#endif
-
-#ifndef M_LN2
-#define M_LN2 (0.6931471805599453094) /* natural log of 2 */
-#endif
-
-#ifndef M_LN10
-#define M_LN10 (2.302585092994045684) /* natural log of 10 */
-#endif
-
-/*
- CM_LARGE_DOUBLE is used to avoid spurious overflow in the sqrt, log,
- inverse trig and inverse hyperbolic trig functions. Its log is used in the
- evaluation of exp, cos, cosh, sin, sinh, tan, and tanh to avoid unnecessary
- overflow.
- */
-
-#define CM_LARGE_DOUBLE (DBL_MAX/4.)
-#define CM_SQRT_LARGE_DOUBLE (sqrt(CM_LARGE_DOUBLE))
-#define CM_LOG_LARGE_DOUBLE (log(CM_LARGE_DOUBLE))
-#define CM_SQRT_DBL_MIN (sqrt(DBL_MIN))
-
-/*
- CM_SCALE_UP is an odd integer chosen such that multiplication by
- 2**CM_SCALE_UP is sufficient to turn a subnormal into a normal.
- CM_SCALE_DOWN is (-(CM_SCALE_UP+1)/2). These scalings are used to compute
- square roots accurately when the real and imaginary parts of the argument
- are subnormal.
-*/
-
-#if FLT_RADIX==2
-#define CM_SCALE_UP (2*(DBL_MANT_DIG/2) + 1)
-#elif FLT_RADIX==16
-#define CM_SCALE_UP (4*DBL_MANT_DIG+1)
-#endif
-#define CM_SCALE_DOWN (-(CM_SCALE_UP+1)/2)
-
-/* Constants cmath.inf, cmath.infj, cmath.nan, cmath.nanj.
- cmath.nan and cmath.nanj are defined only when either
- PY_NO_SHORT_FLOAT_REPR is *not* defined (which should be
- the most common situation on machines using an IEEE 754
- representation), or Py_NAN is defined. */
-
-static double
-m_inf(void)
-{
-#ifndef PY_NO_SHORT_FLOAT_REPR
- return _Py_dg_infinity(0);
-#else
- return Py_HUGE_VAL;
-#endif
-}
-
-static Py_complex
-c_infj(void)
-{
- Py_complex r;
- r.real = 0.0;
- r.imag = m_inf();
- return r;
-}
-
-#if !defined(PY_NO_SHORT_FLOAT_REPR) || defined(Py_NAN)
-
-static double
-m_nan(void)
-{
-#ifndef PY_NO_SHORT_FLOAT_REPR
- return _Py_dg_stdnan(0);
-#else
- return Py_NAN;
-#endif
-}
-
-static Py_complex
-c_nanj(void)
-{
- Py_complex r;
- r.real = 0.0;
- r.imag = m_nan();
- return r;
-}
-
-#endif
-
-/* forward declarations */
-static Py_complex cmath_asinh_impl(PyObject *, Py_complex);
-static Py_complex cmath_atanh_impl(PyObject *, Py_complex);
-static Py_complex cmath_cosh_impl(PyObject *, Py_complex);
-static Py_complex cmath_sinh_impl(PyObject *, Py_complex);
-static Py_complex cmath_sqrt_impl(PyObject *, Py_complex);
-static Py_complex cmath_tanh_impl(PyObject *, Py_complex);
-static PyObject * math_error(void);
-
-/* Code to deal with special values (infinities, NaNs, etc.). */
-
-/* special_type takes a double and returns an integer code indicating
- the type of the double as follows:
-*/
-
-enum special_types {
- ST_NINF, /* 0, negative infinity */
- ST_NEG, /* 1, negative finite number (nonzero) */
- ST_NZERO, /* 2, -0. */
- ST_PZERO, /* 3, +0. */
- ST_POS, /* 4, positive finite number (nonzero) */
- ST_PINF, /* 5, positive infinity */
- ST_NAN /* 6, Not a Number */
-};
-
-static enum special_types
-special_type(double d)
-{
- if (Py_IS_FINITE(d)) {
- if (d != 0) {
- if (copysign(1., d) == 1.)
- return ST_POS;
- else
- return ST_NEG;
- }
- else {
- if (copysign(1., d) == 1.)
- return ST_PZERO;
- else
- return ST_NZERO;
- }
- }
- if (Py_IS_NAN(d))
- return ST_NAN;
- if (copysign(1., d) == 1.)
- return ST_PINF;
- else
- return ST_NINF;
-}
-
-#define SPECIAL_VALUE(z, table) \
- if (!Py_IS_FINITE((z).real) || !Py_IS_FINITE((z).imag)) { \
- errno = 0; \
- return table[special_type((z).real)] \
- [special_type((z).imag)]; \
- }
-
-#define P Py_MATH_PI
-#define P14 0.25*Py_MATH_PI
-#define P12 0.5*Py_MATH_PI
-#define P34 0.75*Py_MATH_PI
-#define INF Py_HUGE_VAL
-#define N Py_NAN
-#define U -9.5426319407711027e33 /* unlikely value, used as placeholder */
-
-/* First, the C functions that do the real work. Each of the c_*
- functions computes and returns the C99 Annex G recommended result
- and also sets errno as follows: errno = 0 if no floating-point
- exception is associated with the result; errno = EDOM if C99 Annex
- G recommends raising divide-by-zero or invalid for this result; and
- errno = ERANGE where the overflow floating-point signal should be
- raised.
-*/
-
-static Py_complex acos_special_values[7][7];
-
-/*[clinic input]
-cmath.acos -> Py_complex_protected
-
- z: Py_complex_protected
- /
-
-Return the arc cosine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_acos_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=40bd42853fd460ae input=bd6cbd78ae851927]*/
-{
- Py_complex s1, s2, r;
-
- SPECIAL_VALUE(z, acos_special_values);
-
- if (fabs(z.real) > CM_LARGE_DOUBLE || fabs(z.imag) > CM_LARGE_DOUBLE) {
- /* avoid unnecessary overflow for large arguments */
- r.real = atan2(fabs(z.imag), z.real);
- /* split into cases to make sure that the branch cut has the
- correct continuity on systems with unsigned zeros */
- if (z.real < 0.) {
- r.imag = -copysign(log(hypot(z.real/2., z.imag/2.)) +
- M_LN2*2., z.imag);
- } else {
- r.imag = copysign(log(hypot(z.real/2., z.imag/2.)) +
- M_LN2*2., -z.imag);
- }
- } else {
- s1.real = 1.-z.real;
- s1.imag = -z.imag;
- s1 = cmath_sqrt_impl(module, s1);
- s2.real = 1.+z.real;
- s2.imag = z.imag;
- s2 = cmath_sqrt_impl(module, s2);
- r.real = 2.*atan2(s1.real, s2.real);
- r.imag = m_asinh(s2.real*s1.imag - s2.imag*s1.real);
- }
- errno = 0;
- return r;
-}
-
-
-static Py_complex acosh_special_values[7][7];
-
-/*[clinic input]
-cmath.acosh = cmath.acos
-
-Return the inverse hyperbolic cosine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_acosh_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=3e2454d4fcf404ca input=3f61bee7d703e53c]*/
-{
- Py_complex s1, s2, r;
-
- SPECIAL_VALUE(z, acosh_special_values);
-
- if (fabs(z.real) > CM_LARGE_DOUBLE || fabs(z.imag) > CM_LARGE_DOUBLE) {
- /* avoid unnecessary overflow for large arguments */
- r.real = log(hypot(z.real/2., z.imag/2.)) + M_LN2*2.;
- r.imag = atan2(z.imag, z.real);
- } else {
- s1.real = z.real - 1.;
- s1.imag = z.imag;
- s1 = cmath_sqrt_impl(module, s1);
- s2.real = z.real + 1.;
- s2.imag = z.imag;
- s2 = cmath_sqrt_impl(module, s2);
- r.real = m_asinh(s1.real*s2.real + s1.imag*s2.imag);
- r.imag = 2.*atan2(s1.imag, s2.real);
- }
- errno = 0;
- return r;
-}
-
-/*[clinic input]
-cmath.asin = cmath.acos
-
-Return the arc sine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_asin_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=3b264cd1b16bf4e1 input=be0bf0cfdd5239c5]*/
-{
- /* asin(z) = -i asinh(iz) */
- Py_complex s, r;
- s.real = -z.imag;
- s.imag = z.real;
- s = cmath_asinh_impl(module, s);
- r.real = s.imag;
- r.imag = -s.real;
- return r;
-}
-
-
-static Py_complex asinh_special_values[7][7];
-
-/*[clinic input]
-cmath.asinh = cmath.acos
-
-Return the inverse hyperbolic sine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_asinh_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=733d8107841a7599 input=5c09448fcfc89a79]*/
-{
- Py_complex s1, s2, r;
-
- SPECIAL_VALUE(z, asinh_special_values);
-
- if (fabs(z.real) > CM_LARGE_DOUBLE || fabs(z.imag) > CM_LARGE_DOUBLE) {
- if (z.imag >= 0.) {
- r.real = copysign(log(hypot(z.real/2., z.imag/2.)) +
- M_LN2*2., z.real);
- } else {
- r.real = -copysign(log(hypot(z.real/2., z.imag/2.)) +
- M_LN2*2., -z.real);
- }
- r.imag = atan2(z.imag, fabs(z.real));
- } else {
- s1.real = 1.+z.imag;
- s1.imag = -z.real;
- s1 = cmath_sqrt_impl(module, s1);
- s2.real = 1.-z.imag;
- s2.imag = z.real;
- s2 = cmath_sqrt_impl(module, s2);
- r.real = m_asinh(s1.real*s2.imag-s2.real*s1.imag);
- r.imag = atan2(z.imag, s1.real*s2.real-s1.imag*s2.imag);
- }
- errno = 0;
- return r;
-}
-
-
-/*[clinic input]
-cmath.atan = cmath.acos
-
-Return the arc tangent of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_atan_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=b6bfc497058acba4 input=3b21ff7d5eac632a]*/
-{
- /* atan(z) = -i atanh(iz) */
- Py_complex s, r;
- s.real = -z.imag;
- s.imag = z.real;
- s = cmath_atanh_impl(module, s);
- r.real = s.imag;
- r.imag = -s.real;
- return r;
-}
-
-/* Windows screws up atan2 for inf and nan, and alpha Tru64 5.1 doesn't follow
- C99 for atan2(0., 0.). */
-static double
-c_atan2(Py_complex z)
-{
- if (Py_IS_NAN(z.real) || Py_IS_NAN(z.imag))
- return Py_NAN;
- if (Py_IS_INFINITY(z.imag)) {
- if (Py_IS_INFINITY(z.real)) {
- if (copysign(1., z.real) == 1.)
- /* atan2(+-inf, +inf) == +-pi/4 */
- return copysign(0.25*Py_MATH_PI, z.imag);
- else
- /* atan2(+-inf, -inf) == +-pi*3/4 */
- return copysign(0.75*Py_MATH_PI, z.imag);
- }
- /* atan2(+-inf, x) == +-pi/2 for finite x */
- return copysign(0.5*Py_MATH_PI, z.imag);
- }
- if (Py_IS_INFINITY(z.real) || z.imag == 0.) {
- if (copysign(1., z.real) == 1.)
- /* atan2(+-y, +inf) = atan2(+-0, +x) = +-0. */
- return copysign(0., z.imag);
- else
- /* atan2(+-y, -inf) = atan2(+-0., -x) = +-pi. */
- return copysign(Py_MATH_PI, z.imag);
- }
- return atan2(z.imag, z.real);
-}
-
-
-static Py_complex atanh_special_values[7][7];
-
-/*[clinic input]
-cmath.atanh = cmath.acos
-
-Return the inverse hyperbolic tangent of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_atanh_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=e83355f93a989c9e input=2b3fdb82fb34487b]*/
-{
- Py_complex r;
- double ay, h;
-
- SPECIAL_VALUE(z, atanh_special_values);
-
- /* Reduce to case where z.real >= 0., using atanh(z) = -atanh(-z). */
- if (z.real < 0.) {
- return _Py_c_neg(cmath_atanh_impl(module, _Py_c_neg(z)));
- }
-
- ay = fabs(z.imag);
- if (z.real > CM_SQRT_LARGE_DOUBLE || ay > CM_SQRT_LARGE_DOUBLE) {
- /*
- if abs(z) is large then we use the approximation
- atanh(z) ~ 1/z +/- i*pi/2 (+/- depending on the sign
- of z.imag)
- */
- h = hypot(z.real/2., z.imag/2.); /* safe from overflow */
- r.real = z.real/4./h/h;
- /* the two negations in the next line cancel each other out
- except when working with unsigned zeros: they're there to
- ensure that the branch cut has the correct continuity on
- systems that don't support signed zeros */
- r.imag = -copysign(Py_MATH_PI/2., -z.imag);
- errno = 0;
- } else if (z.real == 1. && ay < CM_SQRT_DBL_MIN) {
- /* C99 standard says: atanh(1+/-0.) should be inf +/- 0i */
- if (ay == 0.) {
- r.real = INF;
- r.imag = z.imag;
- errno = EDOM;
- } else {
- r.real = -log(sqrt(ay)/sqrt(hypot(ay, 2.)));
- r.imag = copysign(atan2(2., -ay)/2, z.imag);
- errno = 0;
- }
- } else {
- r.real = m_log1p(4.*z.real/((1-z.real)*(1-z.real) + ay*ay))/4.;
- r.imag = -atan2(-2.*z.imag, (1-z.real)*(1+z.real) - ay*ay)/2.;
- errno = 0;
- }
- return r;
-}
-
-
-/*[clinic input]
-cmath.cos = cmath.acos
-
-Return the cosine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_cos_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=fd64918d5b3186db input=6022e39b77127ac7]*/
-{
- /* cos(z) = cosh(iz) */
- Py_complex r;
- r.real = -z.imag;
- r.imag = z.real;
- r = cmath_cosh_impl(module, r);
- return r;
-}
-
-
-/* cosh(infinity + i*y) needs to be dealt with specially */
-static Py_complex cosh_special_values[7][7];
-
-/*[clinic input]
-cmath.cosh = cmath.acos
-
-Return the hyperbolic cosine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_cosh_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=2e969047da601bdb input=d6b66339e9cc332b]*/
-{
- Py_complex r;
- double x_minus_one;
-
- /* special treatment for cosh(+/-inf + iy) if y is not a NaN */
- if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
- if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag) &&
- (z.imag != 0.)) {
- if (z.real > 0) {
- r.real = copysign(INF, cos(z.imag));
- r.imag = copysign(INF, sin(z.imag));
- }
- else {
- r.real = copysign(INF, cos(z.imag));
- r.imag = -copysign(INF, sin(z.imag));
- }
- }
- else {
- r = cosh_special_values[special_type(z.real)]
- [special_type(z.imag)];
- }
- /* need to set errno = EDOM if y is +/- infinity and x is not
- a NaN */
- if (Py_IS_INFINITY(z.imag) && !Py_IS_NAN(z.real))
- errno = EDOM;
- else
- errno = 0;
- return r;
- }
-
- if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {
- /* deal correctly with cases where cosh(z.real) overflows but
- cosh(z) does not. */
- x_minus_one = z.real - copysign(1., z.real);
- r.real = cos(z.imag) * cosh(x_minus_one) * Py_MATH_E;
- r.imag = sin(z.imag) * sinh(x_minus_one) * Py_MATH_E;
- } else {
- r.real = cos(z.imag) * cosh(z.real);
- r.imag = sin(z.imag) * sinh(z.real);
- }
- /* detect overflow, and set errno accordingly */
- if (Py_IS_INFINITY(r.real) || Py_IS_INFINITY(r.imag))
- errno = ERANGE;
- else
- errno = 0;
- return r;
-}
-
-
-/* exp(infinity + i*y) and exp(-infinity + i*y) need special treatment for
- finite y */
-static Py_complex exp_special_values[7][7];
-
-/*[clinic input]
-cmath.exp = cmath.acos
-
-Return the exponential value e**z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_exp_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=edcec61fb9dfda6c input=8b9e6cf8a92174c3]*/
-{
- Py_complex r;
- double l;
-
- if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
- if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag)
- && (z.imag != 0.)) {
- if (z.real > 0) {
- r.real = copysign(INF, cos(z.imag));
- r.imag = copysign(INF, sin(z.imag));
- }
- else {
- r.real = copysign(0., cos(z.imag));
- r.imag = copysign(0., sin(z.imag));
- }
- }
- else {
- r = exp_special_values[special_type(z.real)]
- [special_type(z.imag)];
- }
- /* need to set errno = EDOM if y is +/- infinity and x is not
- a NaN and not -infinity */
- if (Py_IS_INFINITY(z.imag) &&
- (Py_IS_FINITE(z.real) ||
- (Py_IS_INFINITY(z.real) && z.real > 0)))
- errno = EDOM;
- else
- errno = 0;
- return r;
- }
-
- if (z.real > CM_LOG_LARGE_DOUBLE) {
- l = exp(z.real-1.);
- r.real = l*cos(z.imag)*Py_MATH_E;
- r.imag = l*sin(z.imag)*Py_MATH_E;
- } else {
- l = exp(z.real);
- r.real = l*cos(z.imag);
- r.imag = l*sin(z.imag);
- }
- /* detect overflow, and set errno accordingly */
- if (Py_IS_INFINITY(r.real) || Py_IS_INFINITY(r.imag))
- errno = ERANGE;
- else
- errno = 0;
- return r;
-}
-
-static Py_complex log_special_values[7][7];
-
-static Py_complex
-c_log(Py_complex z)
-{
- /*
- The usual formula for the real part is log(hypot(z.real, z.imag)).
- There are four situations where this formula is potentially
- problematic:
-
- (1) the absolute value of z is subnormal. Then hypot is subnormal,
- so has fewer than the usual number of bits of accuracy, hence may
- have large relative error. This then gives a large absolute error
- in the log. This can be solved by rescaling z by a suitable power
- of 2.
-
- (2) the absolute value of z is greater than DBL_MAX (e.g. when both
- z.real and z.imag are within a factor of 1/sqrt(2) of DBL_MAX)
- Again, rescaling solves this.
-
- (3) the absolute value of z is close to 1. In this case it's
- difficult to achieve good accuracy, at least in part because a
- change of 1ulp in the real or imaginary part of z can result in a
- change of billions of ulps in the correctly rounded answer.
-
- (4) z = 0. The simplest thing to do here is to call the
- floating-point log with an argument of 0, and let its behaviour
- (returning -infinity, signaling a floating-point exception, setting
- errno, or whatever) determine that of c_log. So the usual formula
- is fine here.
-
- */
-
- Py_complex r;
- double ax, ay, am, an, h;
-
- SPECIAL_VALUE(z, log_special_values);
-
- ax = fabs(z.real);
- ay = fabs(z.imag);
-
- if (ax > CM_LARGE_DOUBLE || ay > CM_LARGE_DOUBLE) {
- r.real = log(hypot(ax/2., ay/2.)) + M_LN2;
- } else if (ax < DBL_MIN && ay < DBL_MIN) {
- if (ax > 0. || ay > 0.) {
- /* catch cases where hypot(ax, ay) is subnormal */
- r.real = log(hypot(ldexp(ax, DBL_MANT_DIG),
- ldexp(ay, DBL_MANT_DIG))) - DBL_MANT_DIG*M_LN2;
- }
- else {
- /* log(+/-0. +/- 0i) */
- r.real = -INF;
- r.imag = atan2(z.imag, z.real);
- errno = EDOM;
- return r;
- }
- } else {
- h = hypot(ax, ay);
- if (0.71 <= h && h <= 1.73) {
- am = ax > ay ? ax : ay; /* max(ax, ay) */
- an = ax > ay ? ay : ax; /* min(ax, ay) */
- r.real = m_log1p((am-1)*(am+1)+an*an)/2.;
- } else {
- r.real = log(h);
- }
- }
- r.imag = atan2(z.imag, z.real);
- errno = 0;
- return r;
-}
-
-
-/*[clinic input]
-cmath.log10 = cmath.acos
-
-Return the base-10 logarithm of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_log10_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=2922779a7c38cbe1 input=cff5644f73c1519c]*/
-{
- Py_complex r;
- int errno_save;
-
- r = c_log(z);
- errno_save = errno; /* just in case the divisions affect errno */
- r.real = r.real / M_LN10;
- r.imag = r.imag / M_LN10;
- errno = errno_save;
- return r;
-}
-
-
-/*[clinic input]
-cmath.sin = cmath.acos
-
-Return the sine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_sin_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=980370d2ff0bb5aa input=2d3519842a8b4b85]*/
-{
- /* sin(z) = -i sin(iz) */
- Py_complex s, r;
- s.real = -z.imag;
- s.imag = z.real;
- s = cmath_sinh_impl(module, s);
- r.real = s.imag;
- r.imag = -s.real;
- return r;
-}
-
-
-/* sinh(infinity + i*y) needs to be dealt with specially */
-static Py_complex sinh_special_values[7][7];
-
-/*[clinic input]
-cmath.sinh = cmath.acos
-
-Return the hyperbolic sine of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_sinh_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=38b0a6cce26f3536 input=d2d3fc8c1ddfd2dd]*/
-{
- Py_complex r;
- double x_minus_one;
-
- /* special treatment for sinh(+/-inf + iy) if y is finite and
- nonzero */
- if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
- if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag)
- && (z.imag != 0.)) {
- if (z.real > 0) {
- r.real = copysign(INF, cos(z.imag));
- r.imag = copysign(INF, sin(z.imag));
- }
- else {
- r.real = -copysign(INF, cos(z.imag));
- r.imag = copysign(INF, sin(z.imag));
- }
- }
- else {
- r = sinh_special_values[special_type(z.real)]
- [special_type(z.imag)];
- }
- /* need to set errno = EDOM if y is +/- infinity and x is not
- a NaN */
- if (Py_IS_INFINITY(z.imag) && !Py_IS_NAN(z.real))
- errno = EDOM;
- else
- errno = 0;
- return r;
- }
-
- if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {
- x_minus_one = z.real - copysign(1., z.real);
- r.real = cos(z.imag) * sinh(x_minus_one) * Py_MATH_E;
- r.imag = sin(z.imag) * cosh(x_minus_one) * Py_MATH_E;
- } else {
- r.real = cos(z.imag) * sinh(z.real);
- r.imag = sin(z.imag) * cosh(z.real);
- }
- /* detect overflow, and set errno accordingly */
- if (Py_IS_INFINITY(r.real) || Py_IS_INFINITY(r.imag))
- errno = ERANGE;
- else
- errno = 0;
- return r;
-}
-
-
-static Py_complex sqrt_special_values[7][7];
-
-/*[clinic input]
-cmath.sqrt = cmath.acos
-
-Return the square root of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_sqrt_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=b6507b3029c339fc input=7088b166fc9a58c7]*/
-{
- /*
- Method: use symmetries to reduce to the case when x = z.real and y
- = z.imag are nonnegative. Then the real part of the result is
- given by
-
- s = sqrt((x + hypot(x, y))/2)
-
- and the imaginary part is
-
- d = (y/2)/s
-
- If either x or y is very large then there's a risk of overflow in
- computation of the expression x + hypot(x, y). We can avoid this
- by rewriting the formula for s as:
-
- s = 2*sqrt(x/8 + hypot(x/8, y/8))
-
- This costs us two extra multiplications/divisions, but avoids the
- overhead of checking for x and y large.
-
- If both x and y are subnormal then hypot(x, y) may also be
- subnormal, so will lack full precision. We solve this by rescaling
- x and y by a sufficiently large power of 2 to ensure that x and y
- are normal.
- */
-
-
- Py_complex r;
- double s,d;
- double ax, ay;
-
- SPECIAL_VALUE(z, sqrt_special_values);
-
- if (z.real == 0. && z.imag == 0.) {
- r.real = 0.;
- r.imag = z.imag;
- return r;
- }
-
- ax = fabs(z.real);
- ay = fabs(z.imag);
-
- if (ax < DBL_MIN && ay < DBL_MIN && (ax > 0. || ay > 0.)) {
- /* here we catch cases where hypot(ax, ay) is subnormal */
- ax = ldexp(ax, CM_SCALE_UP);
- s = ldexp(sqrt(ax + hypot(ax, ldexp(ay, CM_SCALE_UP))),
- CM_SCALE_DOWN);
- } else {
- ax /= 8.;
- s = 2.*sqrt(ax + hypot(ax, ay/8.));
- }
- d = ay/(2.*s);
-
- if (z.real >= 0.) {
- r.real = s;
- r.imag = copysign(d, z.imag);
- } else {
- r.real = d;
- r.imag = copysign(s, z.imag);
- }
- errno = 0;
- return r;
-}
-
-
-/*[clinic input]
-cmath.tan = cmath.acos
-
-Return the tangent of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_tan_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=7c5f13158a72eb13 input=fc167e528767888e]*/
-{
- /* tan(z) = -i tanh(iz) */
- Py_complex s, r;
- s.real = -z.imag;
- s.imag = z.real;
- s = cmath_tanh_impl(module, s);
- r.real = s.imag;
- r.imag = -s.real;
- return r;
-}
-
-
-/* tanh(infinity + i*y) needs to be dealt with specially */
-static Py_complex tanh_special_values[7][7];
-
-/*[clinic input]
-cmath.tanh = cmath.acos
-
-Return the hyperbolic tangent of z.
-[clinic start generated code]*/
-
-static Py_complex
-cmath_tanh_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=36d547ef7aca116c input=22f67f9dc6d29685]*/
-{
- /* Formula:
-
- tanh(x+iy) = (tanh(x)(1+tan(y)^2) + i tan(y)(1-tanh(x))^2) /
- (1+tan(y)^2 tanh(x)^2)
-
- To avoid excessive roundoff error, 1-tanh(x)^2 is better computed
- as 1/cosh(x)^2. When abs(x) is large, we approximate 1-tanh(x)^2
- by 4 exp(-2*x) instead, to avoid possible overflow in the
- computation of cosh(x).
-
- */
-
- Py_complex r;
- double tx, ty, cx, txty, denom;
-
- /* special treatment for tanh(+/-inf + iy) if y is finite and
- nonzero */
- if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
- if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag)
- && (z.imag != 0.)) {
- if (z.real > 0) {
- r.real = 1.0;
- r.imag = copysign(0.,
- 2.*sin(z.imag)*cos(z.imag));
- }
- else {
- r.real = -1.0;
- r.imag = copysign(0.,
- 2.*sin(z.imag)*cos(z.imag));
- }
- }
- else {
- r = tanh_special_values[special_type(z.real)]
- [special_type(z.imag)];
- }
- /* need to set errno = EDOM if z.imag is +/-infinity and
- z.real is finite */
- if (Py_IS_INFINITY(z.imag) && Py_IS_FINITE(z.real))
- errno = EDOM;
- else
- errno = 0;
- return r;
- }
-
- /* danger of overflow in 2.*z.imag !*/
- if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {
- r.real = copysign(1., z.real);
- r.imag = 4.*sin(z.imag)*cos(z.imag)*exp(-2.*fabs(z.real));
- } else {
- tx = tanh(z.real);
- ty = tan(z.imag);
- cx = 1./cosh(z.real);
- txty = tx*ty;
- denom = 1. + txty*txty;
- r.real = tx*(1.+ty*ty)/denom;
- r.imag = ((ty/denom)*cx)*cx;
- }
- errno = 0;
- return r;
-}
-
-
-/*[clinic input]
-cmath.log
-
+
+#if (FLT_RADIX != 2 && FLT_RADIX != 16)
+#error "Modules/cmathmodule.c expects FLT_RADIX to be 2 or 16"
+#endif
+
+#ifndef M_LN2
+#define M_LN2 (0.6931471805599453094) /* natural log of 2 */
+#endif
+
+#ifndef M_LN10
+#define M_LN10 (2.302585092994045684) /* natural log of 10 */
+#endif
+
+/*
+ CM_LARGE_DOUBLE is used to avoid spurious overflow in the sqrt, log,
+ inverse trig and inverse hyperbolic trig functions. Its log is used in the
+ evaluation of exp, cos, cosh, sin, sinh, tan, and tanh to avoid unnecessary
+ overflow.
+ */
+
+#define CM_LARGE_DOUBLE (DBL_MAX/4.)
+#define CM_SQRT_LARGE_DOUBLE (sqrt(CM_LARGE_DOUBLE))
+#define CM_LOG_LARGE_DOUBLE (log(CM_LARGE_DOUBLE))
+#define CM_SQRT_DBL_MIN (sqrt(DBL_MIN))
+
+/*
+ CM_SCALE_UP is an odd integer chosen such that multiplication by
+ 2**CM_SCALE_UP is sufficient to turn a subnormal into a normal.
+ CM_SCALE_DOWN is (-(CM_SCALE_UP+1)/2). These scalings are used to compute
+ square roots accurately when the real and imaginary parts of the argument
+ are subnormal.
+*/
+
+#if FLT_RADIX==2
+#define CM_SCALE_UP (2*(DBL_MANT_DIG/2) + 1)
+#elif FLT_RADIX==16
+#define CM_SCALE_UP (4*DBL_MANT_DIG+1)
+#endif
+#define CM_SCALE_DOWN (-(CM_SCALE_UP+1)/2)
+
+/* Constants cmath.inf, cmath.infj, cmath.nan, cmath.nanj.
+ cmath.nan and cmath.nanj are defined only when either
+ PY_NO_SHORT_FLOAT_REPR is *not* defined (which should be
+ the most common situation on machines using an IEEE 754
+ representation), or Py_NAN is defined. */
+
+static double
+m_inf(void)
+{
+#ifndef PY_NO_SHORT_FLOAT_REPR
+ return _Py_dg_infinity(0);
+#else
+ return Py_HUGE_VAL;
+#endif
+}
+
+static Py_complex
+c_infj(void)
+{
+ Py_complex r;
+ r.real = 0.0;
+ r.imag = m_inf();
+ return r;
+}
+
+#if !defined(PY_NO_SHORT_FLOAT_REPR) || defined(Py_NAN)
+
+static double
+m_nan(void)
+{
+#ifndef PY_NO_SHORT_FLOAT_REPR
+ return _Py_dg_stdnan(0);
+#else
+ return Py_NAN;
+#endif
+}
+
+static Py_complex
+c_nanj(void)
+{
+ Py_complex r;
+ r.real = 0.0;
+ r.imag = m_nan();
+ return r;
+}
+
+#endif
+
+/* forward declarations */
+static Py_complex cmath_asinh_impl(PyObject *, Py_complex);
+static Py_complex cmath_atanh_impl(PyObject *, Py_complex);
+static Py_complex cmath_cosh_impl(PyObject *, Py_complex);
+static Py_complex cmath_sinh_impl(PyObject *, Py_complex);
+static Py_complex cmath_sqrt_impl(PyObject *, Py_complex);
+static Py_complex cmath_tanh_impl(PyObject *, Py_complex);
+static PyObject * math_error(void);
+
+/* Code to deal with special values (infinities, NaNs, etc.). */
+
+/* special_type takes a double and returns an integer code indicating
+ the type of the double as follows:
+*/
+
+enum special_types {
+ ST_NINF, /* 0, negative infinity */
+ ST_NEG, /* 1, negative finite number (nonzero) */
+ ST_NZERO, /* 2, -0. */
+ ST_PZERO, /* 3, +0. */
+ ST_POS, /* 4, positive finite number (nonzero) */
+ ST_PINF, /* 5, positive infinity */
+ ST_NAN /* 6, Not a Number */
+};
+
+static enum special_types
+special_type(double d)
+{
+ if (Py_IS_FINITE(d)) {
+ if (d != 0) {
+ if (copysign(1., d) == 1.)
+ return ST_POS;
+ else
+ return ST_NEG;
+ }
+ else {
+ if (copysign(1., d) == 1.)
+ return ST_PZERO;
+ else
+ return ST_NZERO;
+ }
+ }
+ if (Py_IS_NAN(d))
+ return ST_NAN;
+ if (copysign(1., d) == 1.)
+ return ST_PINF;
+ else
+ return ST_NINF;
+}
+
+#define SPECIAL_VALUE(z, table) \
+ if (!Py_IS_FINITE((z).real) || !Py_IS_FINITE((z).imag)) { \
+ errno = 0; \
+ return table[special_type((z).real)] \
+ [special_type((z).imag)]; \
+ }
+
+#define P Py_MATH_PI
+#define P14 0.25*Py_MATH_PI
+#define P12 0.5*Py_MATH_PI
+#define P34 0.75*Py_MATH_PI
+#define INF Py_HUGE_VAL
+#define N Py_NAN
+#define U -9.5426319407711027e33 /* unlikely value, used as placeholder */
+
+/* First, the C functions that do the real work. Each of the c_*
+ functions computes and returns the C99 Annex G recommended result
+ and also sets errno as follows: errno = 0 if no floating-point
+ exception is associated with the result; errno = EDOM if C99 Annex
+ G recommends raising divide-by-zero or invalid for this result; and
+ errno = ERANGE where the overflow floating-point signal should be
+ raised.
+*/
+
+static Py_complex acos_special_values[7][7];
+
+/*[clinic input]
+cmath.acos -> Py_complex_protected
+
+ z: Py_complex_protected
+ /
+
+Return the arc cosine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_acos_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=40bd42853fd460ae input=bd6cbd78ae851927]*/
+{
+ Py_complex s1, s2, r;
+
+ SPECIAL_VALUE(z, acos_special_values);
+
+ if (fabs(z.real) > CM_LARGE_DOUBLE || fabs(z.imag) > CM_LARGE_DOUBLE) {
+ /* avoid unnecessary overflow for large arguments */
+ r.real = atan2(fabs(z.imag), z.real);
+ /* split into cases to make sure that the branch cut has the
+ correct continuity on systems with unsigned zeros */
+ if (z.real < 0.) {
+ r.imag = -copysign(log(hypot(z.real/2., z.imag/2.)) +
+ M_LN2*2., z.imag);
+ } else {
+ r.imag = copysign(log(hypot(z.real/2., z.imag/2.)) +
+ M_LN2*2., -z.imag);
+ }
+ } else {
+ s1.real = 1.-z.real;
+ s1.imag = -z.imag;
+ s1 = cmath_sqrt_impl(module, s1);
+ s2.real = 1.+z.real;
+ s2.imag = z.imag;
+ s2 = cmath_sqrt_impl(module, s2);
+ r.real = 2.*atan2(s1.real, s2.real);
+ r.imag = m_asinh(s2.real*s1.imag - s2.imag*s1.real);
+ }
+ errno = 0;
+ return r;
+}
+
+
+static Py_complex acosh_special_values[7][7];
+
+/*[clinic input]
+cmath.acosh = cmath.acos
+
+Return the inverse hyperbolic cosine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_acosh_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=3e2454d4fcf404ca input=3f61bee7d703e53c]*/
+{
+ Py_complex s1, s2, r;
+
+ SPECIAL_VALUE(z, acosh_special_values);
+
+ if (fabs(z.real) > CM_LARGE_DOUBLE || fabs(z.imag) > CM_LARGE_DOUBLE) {
+ /* avoid unnecessary overflow for large arguments */
+ r.real = log(hypot(z.real/2., z.imag/2.)) + M_LN2*2.;
+ r.imag = atan2(z.imag, z.real);
+ } else {
+ s1.real = z.real - 1.;
+ s1.imag = z.imag;
+ s1 = cmath_sqrt_impl(module, s1);
+ s2.real = z.real + 1.;
+ s2.imag = z.imag;
+ s2 = cmath_sqrt_impl(module, s2);
+ r.real = m_asinh(s1.real*s2.real + s1.imag*s2.imag);
+ r.imag = 2.*atan2(s1.imag, s2.real);
+ }
+ errno = 0;
+ return r;
+}
+
+/*[clinic input]
+cmath.asin = cmath.acos
+
+Return the arc sine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_asin_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=3b264cd1b16bf4e1 input=be0bf0cfdd5239c5]*/
+{
+ /* asin(z) = -i asinh(iz) */
+ Py_complex s, r;
+ s.real = -z.imag;
+ s.imag = z.real;
+ s = cmath_asinh_impl(module, s);
+ r.real = s.imag;
+ r.imag = -s.real;
+ return r;
+}
+
+
+static Py_complex asinh_special_values[7][7];
+
+/*[clinic input]
+cmath.asinh = cmath.acos
+
+Return the inverse hyperbolic sine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_asinh_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=733d8107841a7599 input=5c09448fcfc89a79]*/
+{
+ Py_complex s1, s2, r;
+
+ SPECIAL_VALUE(z, asinh_special_values);
+
+ if (fabs(z.real) > CM_LARGE_DOUBLE || fabs(z.imag) > CM_LARGE_DOUBLE) {
+ if (z.imag >= 0.) {
+ r.real = copysign(log(hypot(z.real/2., z.imag/2.)) +
+ M_LN2*2., z.real);
+ } else {
+ r.real = -copysign(log(hypot(z.real/2., z.imag/2.)) +
+ M_LN2*2., -z.real);
+ }
+ r.imag = atan2(z.imag, fabs(z.real));
+ } else {
+ s1.real = 1.+z.imag;
+ s1.imag = -z.real;
+ s1 = cmath_sqrt_impl(module, s1);
+ s2.real = 1.-z.imag;
+ s2.imag = z.real;
+ s2 = cmath_sqrt_impl(module, s2);
+ r.real = m_asinh(s1.real*s2.imag-s2.real*s1.imag);
+ r.imag = atan2(z.imag, s1.real*s2.real-s1.imag*s2.imag);
+ }
+ errno = 0;
+ return r;
+}
+
+
+/*[clinic input]
+cmath.atan = cmath.acos
+
+Return the arc tangent of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_atan_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=b6bfc497058acba4 input=3b21ff7d5eac632a]*/
+{
+ /* atan(z) = -i atanh(iz) */
+ Py_complex s, r;
+ s.real = -z.imag;
+ s.imag = z.real;
+ s = cmath_atanh_impl(module, s);
+ r.real = s.imag;
+ r.imag = -s.real;
+ return r;
+}
+
+/* Windows screws up atan2 for inf and nan, and alpha Tru64 5.1 doesn't follow
+ C99 for atan2(0., 0.). */
+static double
+c_atan2(Py_complex z)
+{
+ if (Py_IS_NAN(z.real) || Py_IS_NAN(z.imag))
+ return Py_NAN;
+ if (Py_IS_INFINITY(z.imag)) {
+ if (Py_IS_INFINITY(z.real)) {
+ if (copysign(1., z.real) == 1.)
+ /* atan2(+-inf, +inf) == +-pi/4 */
+ return copysign(0.25*Py_MATH_PI, z.imag);
+ else
+ /* atan2(+-inf, -inf) == +-pi*3/4 */
+ return copysign(0.75*Py_MATH_PI, z.imag);
+ }
+ /* atan2(+-inf, x) == +-pi/2 for finite x */
+ return copysign(0.5*Py_MATH_PI, z.imag);
+ }
+ if (Py_IS_INFINITY(z.real) || z.imag == 0.) {
+ if (copysign(1., z.real) == 1.)
+ /* atan2(+-y, +inf) = atan2(+-0, +x) = +-0. */
+ return copysign(0., z.imag);
+ else
+ /* atan2(+-y, -inf) = atan2(+-0., -x) = +-pi. */
+ return copysign(Py_MATH_PI, z.imag);
+ }
+ return atan2(z.imag, z.real);
+}
+
+
+static Py_complex atanh_special_values[7][7];
+
+/*[clinic input]
+cmath.atanh = cmath.acos
+
+Return the inverse hyperbolic tangent of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_atanh_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=e83355f93a989c9e input=2b3fdb82fb34487b]*/
+{
+ Py_complex r;
+ double ay, h;
+
+ SPECIAL_VALUE(z, atanh_special_values);
+
+ /* Reduce to case where z.real >= 0., using atanh(z) = -atanh(-z). */
+ if (z.real < 0.) {
+ return _Py_c_neg(cmath_atanh_impl(module, _Py_c_neg(z)));
+ }
+
+ ay = fabs(z.imag);
+ if (z.real > CM_SQRT_LARGE_DOUBLE || ay > CM_SQRT_LARGE_DOUBLE) {
+ /*
+ if abs(z) is large then we use the approximation
+ atanh(z) ~ 1/z +/- i*pi/2 (+/- depending on the sign
+ of z.imag)
+ */
+ h = hypot(z.real/2., z.imag/2.); /* safe from overflow */
+ r.real = z.real/4./h/h;
+ /* the two negations in the next line cancel each other out
+ except when working with unsigned zeros: they're there to
+ ensure that the branch cut has the correct continuity on
+ systems that don't support signed zeros */
+ r.imag = -copysign(Py_MATH_PI/2., -z.imag);
+ errno = 0;
+ } else if (z.real == 1. && ay < CM_SQRT_DBL_MIN) {
+ /* C99 standard says: atanh(1+/-0.) should be inf +/- 0i */
+ if (ay == 0.) {
+ r.real = INF;
+ r.imag = z.imag;
+ errno = EDOM;
+ } else {
+ r.real = -log(sqrt(ay)/sqrt(hypot(ay, 2.)));
+ r.imag = copysign(atan2(2., -ay)/2, z.imag);
+ errno = 0;
+ }
+ } else {
+ r.real = m_log1p(4.*z.real/((1-z.real)*(1-z.real) + ay*ay))/4.;
+ r.imag = -atan2(-2.*z.imag, (1-z.real)*(1+z.real) - ay*ay)/2.;
+ errno = 0;
+ }
+ return r;
+}
+
+
+/*[clinic input]
+cmath.cos = cmath.acos
+
+Return the cosine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_cos_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=fd64918d5b3186db input=6022e39b77127ac7]*/
+{
+ /* cos(z) = cosh(iz) */
+ Py_complex r;
+ r.real = -z.imag;
+ r.imag = z.real;
+ r = cmath_cosh_impl(module, r);
+ return r;
+}
+
+
+/* cosh(infinity + i*y) needs to be dealt with specially */
+static Py_complex cosh_special_values[7][7];
+
+/*[clinic input]
+cmath.cosh = cmath.acos
+
+Return the hyperbolic cosine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_cosh_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=2e969047da601bdb input=d6b66339e9cc332b]*/
+{
+ Py_complex r;
+ double x_minus_one;
+
+ /* special treatment for cosh(+/-inf + iy) if y is not a NaN */
+ if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
+ if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag) &&
+ (z.imag != 0.)) {
+ if (z.real > 0) {
+ r.real = copysign(INF, cos(z.imag));
+ r.imag = copysign(INF, sin(z.imag));
+ }
+ else {
+ r.real = copysign(INF, cos(z.imag));
+ r.imag = -copysign(INF, sin(z.imag));
+ }
+ }
+ else {
+ r = cosh_special_values[special_type(z.real)]
+ [special_type(z.imag)];
+ }
+ /* need to set errno = EDOM if y is +/- infinity and x is not
+ a NaN */
+ if (Py_IS_INFINITY(z.imag) && !Py_IS_NAN(z.real))
+ errno = EDOM;
+ else
+ errno = 0;
+ return r;
+ }
+
+ if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {
+ /* deal correctly with cases where cosh(z.real) overflows but
+ cosh(z) does not. */
+ x_minus_one = z.real - copysign(1., z.real);
+ r.real = cos(z.imag) * cosh(x_minus_one) * Py_MATH_E;
+ r.imag = sin(z.imag) * sinh(x_minus_one) * Py_MATH_E;
+ } else {
+ r.real = cos(z.imag) * cosh(z.real);
+ r.imag = sin(z.imag) * sinh(z.real);
+ }
+ /* detect overflow, and set errno accordingly */
+ if (Py_IS_INFINITY(r.real) || Py_IS_INFINITY(r.imag))
+ errno = ERANGE;
+ else
+ errno = 0;
+ return r;
+}
+
+
+/* exp(infinity + i*y) and exp(-infinity + i*y) need special treatment for
+ finite y */
+static Py_complex exp_special_values[7][7];
+
+/*[clinic input]
+cmath.exp = cmath.acos
+
+Return the exponential value e**z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_exp_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=edcec61fb9dfda6c input=8b9e6cf8a92174c3]*/
+{
+ Py_complex r;
+ double l;
+
+ if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
+ if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag)
+ && (z.imag != 0.)) {
+ if (z.real > 0) {
+ r.real = copysign(INF, cos(z.imag));
+ r.imag = copysign(INF, sin(z.imag));
+ }
+ else {
+ r.real = copysign(0., cos(z.imag));
+ r.imag = copysign(0., sin(z.imag));
+ }
+ }
+ else {
+ r = exp_special_values[special_type(z.real)]
+ [special_type(z.imag)];
+ }
+ /* need to set errno = EDOM if y is +/- infinity and x is not
+ a NaN and not -infinity */
+ if (Py_IS_INFINITY(z.imag) &&
+ (Py_IS_FINITE(z.real) ||
+ (Py_IS_INFINITY(z.real) && z.real > 0)))
+ errno = EDOM;
+ else
+ errno = 0;
+ return r;
+ }
+
+ if (z.real > CM_LOG_LARGE_DOUBLE) {
+ l = exp(z.real-1.);
+ r.real = l*cos(z.imag)*Py_MATH_E;
+ r.imag = l*sin(z.imag)*Py_MATH_E;
+ } else {
+ l = exp(z.real);
+ r.real = l*cos(z.imag);
+ r.imag = l*sin(z.imag);
+ }
+ /* detect overflow, and set errno accordingly */
+ if (Py_IS_INFINITY(r.real) || Py_IS_INFINITY(r.imag))
+ errno = ERANGE;
+ else
+ errno = 0;
+ return r;
+}
+
+static Py_complex log_special_values[7][7];
+
+static Py_complex
+c_log(Py_complex z)
+{
+ /*
+ The usual formula for the real part is log(hypot(z.real, z.imag)).
+ There are four situations where this formula is potentially
+ problematic:
+
+ (1) the absolute value of z is subnormal. Then hypot is subnormal,
+ so has fewer than the usual number of bits of accuracy, hence may
+ have large relative error. This then gives a large absolute error
+ in the log. This can be solved by rescaling z by a suitable power
+ of 2.
+
+ (2) the absolute value of z is greater than DBL_MAX (e.g. when both
+ z.real and z.imag are within a factor of 1/sqrt(2) of DBL_MAX)
+ Again, rescaling solves this.
+
+ (3) the absolute value of z is close to 1. In this case it's
+ difficult to achieve good accuracy, at least in part because a
+ change of 1ulp in the real or imaginary part of z can result in a
+ change of billions of ulps in the correctly rounded answer.
+
+ (4) z = 0. The simplest thing to do here is to call the
+ floating-point log with an argument of 0, and let its behaviour
+ (returning -infinity, signaling a floating-point exception, setting
+ errno, or whatever) determine that of c_log. So the usual formula
+ is fine here.
+
+ */
+
+ Py_complex r;
+ double ax, ay, am, an, h;
+
+ SPECIAL_VALUE(z, log_special_values);
+
+ ax = fabs(z.real);
+ ay = fabs(z.imag);
+
+ if (ax > CM_LARGE_DOUBLE || ay > CM_LARGE_DOUBLE) {
+ r.real = log(hypot(ax/2., ay/2.)) + M_LN2;
+ } else if (ax < DBL_MIN && ay < DBL_MIN) {
+ if (ax > 0. || ay > 0.) {
+ /* catch cases where hypot(ax, ay) is subnormal */
+ r.real = log(hypot(ldexp(ax, DBL_MANT_DIG),
+ ldexp(ay, DBL_MANT_DIG))) - DBL_MANT_DIG*M_LN2;
+ }
+ else {
+ /* log(+/-0. +/- 0i) */
+ r.real = -INF;
+ r.imag = atan2(z.imag, z.real);
+ errno = EDOM;
+ return r;
+ }
+ } else {
+ h = hypot(ax, ay);
+ if (0.71 <= h && h <= 1.73) {
+ am = ax > ay ? ax : ay; /* max(ax, ay) */
+ an = ax > ay ? ay : ax; /* min(ax, ay) */
+ r.real = m_log1p((am-1)*(am+1)+an*an)/2.;
+ } else {
+ r.real = log(h);
+ }
+ }
+ r.imag = atan2(z.imag, z.real);
+ errno = 0;
+ return r;
+}
+
+
+/*[clinic input]
+cmath.log10 = cmath.acos
+
+Return the base-10 logarithm of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_log10_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=2922779a7c38cbe1 input=cff5644f73c1519c]*/
+{
+ Py_complex r;
+ int errno_save;
+
+ r = c_log(z);
+ errno_save = errno; /* just in case the divisions affect errno */
+ r.real = r.real / M_LN10;
+ r.imag = r.imag / M_LN10;
+ errno = errno_save;
+ return r;
+}
+
+
+/*[clinic input]
+cmath.sin = cmath.acos
+
+Return the sine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_sin_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=980370d2ff0bb5aa input=2d3519842a8b4b85]*/
+{
+ /* sin(z) = -i sin(iz) */
+ Py_complex s, r;
+ s.real = -z.imag;
+ s.imag = z.real;
+ s = cmath_sinh_impl(module, s);
+ r.real = s.imag;
+ r.imag = -s.real;
+ return r;
+}
+
+
+/* sinh(infinity + i*y) needs to be dealt with specially */
+static Py_complex sinh_special_values[7][7];
+
+/*[clinic input]
+cmath.sinh = cmath.acos
+
+Return the hyperbolic sine of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_sinh_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=38b0a6cce26f3536 input=d2d3fc8c1ddfd2dd]*/
+{
+ Py_complex r;
+ double x_minus_one;
+
+ /* special treatment for sinh(+/-inf + iy) if y is finite and
+ nonzero */
+ if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
+ if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag)
+ && (z.imag != 0.)) {
+ if (z.real > 0) {
+ r.real = copysign(INF, cos(z.imag));
+ r.imag = copysign(INF, sin(z.imag));
+ }
+ else {
+ r.real = -copysign(INF, cos(z.imag));
+ r.imag = copysign(INF, sin(z.imag));
+ }
+ }
+ else {
+ r = sinh_special_values[special_type(z.real)]
+ [special_type(z.imag)];
+ }
+ /* need to set errno = EDOM if y is +/- infinity and x is not
+ a NaN */
+ if (Py_IS_INFINITY(z.imag) && !Py_IS_NAN(z.real))
+ errno = EDOM;
+ else
+ errno = 0;
+ return r;
+ }
+
+ if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {
+ x_minus_one = z.real - copysign(1., z.real);
+ r.real = cos(z.imag) * sinh(x_minus_one) * Py_MATH_E;
+ r.imag = sin(z.imag) * cosh(x_minus_one) * Py_MATH_E;
+ } else {
+ r.real = cos(z.imag) * sinh(z.real);
+ r.imag = sin(z.imag) * cosh(z.real);
+ }
+ /* detect overflow, and set errno accordingly */
+ if (Py_IS_INFINITY(r.real) || Py_IS_INFINITY(r.imag))
+ errno = ERANGE;
+ else
+ errno = 0;
+ return r;
+}
+
+
+static Py_complex sqrt_special_values[7][7];
+
+/*[clinic input]
+cmath.sqrt = cmath.acos
+
+Return the square root of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_sqrt_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=b6507b3029c339fc input=7088b166fc9a58c7]*/
+{
+ /*
+ Method: use symmetries to reduce to the case when x = z.real and y
+ = z.imag are nonnegative. Then the real part of the result is
+ given by
+
+ s = sqrt((x + hypot(x, y))/2)
+
+ and the imaginary part is
+
+ d = (y/2)/s
+
+ If either x or y is very large then there's a risk of overflow in
+ computation of the expression x + hypot(x, y). We can avoid this
+ by rewriting the formula for s as:
+
+ s = 2*sqrt(x/8 + hypot(x/8, y/8))
+
+ This costs us two extra multiplications/divisions, but avoids the
+ overhead of checking for x and y large.
+
+ If both x and y are subnormal then hypot(x, y) may also be
+ subnormal, so will lack full precision. We solve this by rescaling
+ x and y by a sufficiently large power of 2 to ensure that x and y
+ are normal.
+ */
+
+
+ Py_complex r;
+ double s,d;
+ double ax, ay;
+
+ SPECIAL_VALUE(z, sqrt_special_values);
+
+ if (z.real == 0. && z.imag == 0.) {
+ r.real = 0.;
+ r.imag = z.imag;
+ return r;
+ }
+
+ ax = fabs(z.real);
+ ay = fabs(z.imag);
+
+ if (ax < DBL_MIN && ay < DBL_MIN && (ax > 0. || ay > 0.)) {
+ /* here we catch cases where hypot(ax, ay) is subnormal */
+ ax = ldexp(ax, CM_SCALE_UP);
+ s = ldexp(sqrt(ax + hypot(ax, ldexp(ay, CM_SCALE_UP))),
+ CM_SCALE_DOWN);
+ } else {
+ ax /= 8.;
+ s = 2.*sqrt(ax + hypot(ax, ay/8.));
+ }
+ d = ay/(2.*s);
+
+ if (z.real >= 0.) {
+ r.real = s;
+ r.imag = copysign(d, z.imag);
+ } else {
+ r.real = d;
+ r.imag = copysign(s, z.imag);
+ }
+ errno = 0;
+ return r;
+}
+
+
+/*[clinic input]
+cmath.tan = cmath.acos
+
+Return the tangent of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_tan_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=7c5f13158a72eb13 input=fc167e528767888e]*/
+{
+ /* tan(z) = -i tanh(iz) */
+ Py_complex s, r;
+ s.real = -z.imag;
+ s.imag = z.real;
+ s = cmath_tanh_impl(module, s);
+ r.real = s.imag;
+ r.imag = -s.real;
+ return r;
+}
+
+
+/* tanh(infinity + i*y) needs to be dealt with specially */
+static Py_complex tanh_special_values[7][7];
+
+/*[clinic input]
+cmath.tanh = cmath.acos
+
+Return the hyperbolic tangent of z.
+[clinic start generated code]*/
+
+static Py_complex
+cmath_tanh_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=36d547ef7aca116c input=22f67f9dc6d29685]*/
+{
+ /* Formula:
+
+ tanh(x+iy) = (tanh(x)(1+tan(y)^2) + i tan(y)(1-tanh(x))^2) /
+ (1+tan(y)^2 tanh(x)^2)
+
+ To avoid excessive roundoff error, 1-tanh(x)^2 is better computed
+ as 1/cosh(x)^2. When abs(x) is large, we approximate 1-tanh(x)^2
+ by 4 exp(-2*x) instead, to avoid possible overflow in the
+ computation of cosh(x).
+
+ */
+
+ Py_complex r;
+ double tx, ty, cx, txty, denom;
+
+ /* special treatment for tanh(+/-inf + iy) if y is finite and
+ nonzero */
+ if (!Py_IS_FINITE(z.real) || !Py_IS_FINITE(z.imag)) {
+ if (Py_IS_INFINITY(z.real) && Py_IS_FINITE(z.imag)
+ && (z.imag != 0.)) {
+ if (z.real > 0) {
+ r.real = 1.0;
+ r.imag = copysign(0.,
+ 2.*sin(z.imag)*cos(z.imag));
+ }
+ else {
+ r.real = -1.0;
+ r.imag = copysign(0.,
+ 2.*sin(z.imag)*cos(z.imag));
+ }
+ }
+ else {
+ r = tanh_special_values[special_type(z.real)]
+ [special_type(z.imag)];
+ }
+ /* need to set errno = EDOM if z.imag is +/-infinity and
+ z.real is finite */
+ if (Py_IS_INFINITY(z.imag) && Py_IS_FINITE(z.real))
+ errno = EDOM;
+ else
+ errno = 0;
+ return r;
+ }
+
+ /* danger of overflow in 2.*z.imag !*/
+ if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {
+ r.real = copysign(1., z.real);
+ r.imag = 4.*sin(z.imag)*cos(z.imag)*exp(-2.*fabs(z.real));
+ } else {
+ tx = tanh(z.real);
+ ty = tan(z.imag);
+ cx = 1./cosh(z.real);
+ txty = tx*ty;
+ denom = 1. + txty*txty;
+ r.real = tx*(1.+ty*ty)/denom;
+ r.imag = ((ty/denom)*cx)*cx;
+ }
+ errno = 0;
+ return r;
+}
+
+
+/*[clinic input]
+cmath.log
+
z as x: Py_complex
base as y_obj: object = NULL
- /
-
+ /
+
log(z[, base]) -> the logarithm of z to the given base.
-
-If the base not specified, returns the natural logarithm (base e) of z.
-[clinic start generated code]*/
-
-static PyObject *
-cmath_log_impl(PyObject *module, Py_complex x, PyObject *y_obj)
+
+If the base not specified, returns the natural logarithm (base e) of z.
+[clinic start generated code]*/
+
+static PyObject *
+cmath_log_impl(PyObject *module, Py_complex x, PyObject *y_obj)
/*[clinic end generated code: output=4effdb7d258e0d94 input=230ed3a71ecd000a]*/
-{
- Py_complex y;
-
- errno = 0;
- x = c_log(x);
- if (y_obj != NULL) {
- y = PyComplex_AsCComplex(y_obj);
- if (PyErr_Occurred()) {
- return NULL;
- }
- y = c_log(y);
- x = _Py_c_quot(x, y);
- }
- if (errno != 0)
- return math_error();
- return PyComplex_FromCComplex(x);
-}
-
-
-/* And now the glue to make them available from Python: */
-
-static PyObject *
-math_error(void)
-{
- if (errno == EDOM)
- PyErr_SetString(PyExc_ValueError, "math domain error");
- else if (errno == ERANGE)
- PyErr_SetString(PyExc_OverflowError, "math range error");
- else /* Unexpected math error */
- PyErr_SetFromErrno(PyExc_ValueError);
- return NULL;
-}
-
-
-/*[clinic input]
-cmath.phase
-
- z: Py_complex
- /
-
-Return argument, also known as the phase angle, of a complex.
-[clinic start generated code]*/
-
-static PyObject *
-cmath_phase_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=50725086a7bfd253 input=5cf75228ba94b69d]*/
-{
- double phi;
-
- errno = 0;
- phi = c_atan2(z);
- if (errno != 0)
- return math_error();
- else
- return PyFloat_FromDouble(phi);
-}
-
-/*[clinic input]
-cmath.polar
-
- z: Py_complex
- /
-
-Convert a complex from rectangular coordinates to polar coordinates.
-
-r is the distance from 0 and phi the phase angle.
-[clinic start generated code]*/
-
-static PyObject *
-cmath_polar_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=d0a8147c41dbb654 input=26c353574fd1a861]*/
-{
- double r, phi;
-
- errno = 0;
- phi = c_atan2(z); /* should not cause any exception */
- r = _Py_c_abs(z); /* sets errno to ERANGE on overflow */
- if (errno != 0)
- return math_error();
- else
- return Py_BuildValue("dd", r, phi);
-}
-
-/*
- rect() isn't covered by the C99 standard, but it's not too hard to
- figure out 'spirit of C99' rules for special value handing:
-
- rect(x, t) should behave like exp(log(x) + it) for positive-signed x
- rect(x, t) should behave like -exp(log(-x) + it) for negative-signed x
- rect(nan, t) should behave like exp(nan + it), except that rect(nan, 0)
- gives nan +- i0 with the sign of the imaginary part unspecified.
-
-*/
-
-static Py_complex rect_special_values[7][7];
-
-/*[clinic input]
-cmath.rect
-
- r: double
- phi: double
- /
-
-Convert from polar coordinates to rectangular coordinates.
-[clinic start generated code]*/
-
-static PyObject *
-cmath_rect_impl(PyObject *module, double r, double phi)
-/*[clinic end generated code: output=385a0690925df2d5 input=24c5646d147efd69]*/
-{
- Py_complex z;
- errno = 0;
-
- /* deal with special values */
- if (!Py_IS_FINITE(r) || !Py_IS_FINITE(phi)) {
- /* if r is +/-infinity and phi is finite but nonzero then
- result is (+-INF +-INF i), but we need to compute cos(phi)
- and sin(phi) to figure out the signs. */
- if (Py_IS_INFINITY(r) && (Py_IS_FINITE(phi)
- && (phi != 0.))) {
- if (r > 0) {
- z.real = copysign(INF, cos(phi));
- z.imag = copysign(INF, sin(phi));
- }
- else {
- z.real = -copysign(INF, cos(phi));
- z.imag = -copysign(INF, sin(phi));
- }
- }
- else {
- z = rect_special_values[special_type(r)]
- [special_type(phi)];
- }
- /* need to set errno = EDOM if r is a nonzero number and phi
- is infinite */
- if (r != 0. && !Py_IS_NAN(r) && Py_IS_INFINITY(phi))
- errno = EDOM;
- else
- errno = 0;
- }
- else if (phi == 0.0) {
- /* Workaround for buggy results with phi=-0.0 on OS X 10.8. See
- bugs.python.org/issue18513. */
- z.real = r;
- z.imag = r * phi;
- errno = 0;
- }
- else {
- z.real = r * cos(phi);
- z.imag = r * sin(phi);
- errno = 0;
- }
-
- if (errno != 0)
- return math_error();
- else
- return PyComplex_FromCComplex(z);
-}
-
-/*[clinic input]
-cmath.isfinite = cmath.polar
-
-Return True if both the real and imaginary parts of z are finite, else False.
-[clinic start generated code]*/
-
-static PyObject *
-cmath_isfinite_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=ac76611e2c774a36 input=848e7ee701895815]*/
-{
- return PyBool_FromLong(Py_IS_FINITE(z.real) && Py_IS_FINITE(z.imag));
-}
-
-/*[clinic input]
-cmath.isnan = cmath.polar
-
-Checks if the real or imaginary part of z not a number (NaN).
-[clinic start generated code]*/
-
-static PyObject *
-cmath_isnan_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=e7abf6e0b28beab7 input=71799f5d284c9baf]*/
-{
- return PyBool_FromLong(Py_IS_NAN(z.real) || Py_IS_NAN(z.imag));
-}
-
-/*[clinic input]
-cmath.isinf = cmath.polar
-
-Checks if the real or imaginary part of z is infinite.
-[clinic start generated code]*/
-
-static PyObject *
-cmath_isinf_impl(PyObject *module, Py_complex z)
-/*[clinic end generated code: output=502a75a79c773469 input=363df155c7181329]*/
-{
- return PyBool_FromLong(Py_IS_INFINITY(z.real) ||
- Py_IS_INFINITY(z.imag));
-}
-
-/*[clinic input]
-cmath.isclose -> bool
-
- a: Py_complex
- b: Py_complex
- *
- rel_tol: double = 1e-09
- maximum difference for being considered "close", relative to the
- magnitude of the input values
- abs_tol: double = 0.0
- maximum difference for being considered "close", regardless of the
- magnitude of the input values
-
-Determine whether two complex numbers are close in value.
-
-Return True if a is close in value to b, and False otherwise.
-
-For the values to be considered close, the difference between them must be
-smaller than at least one of the tolerances.
-
--inf, inf and NaN behave similarly to the IEEE 754 Standard. That is, NaN is
-not close to anything, even itself. inf and -inf are only close to themselves.
-[clinic start generated code]*/
-
-static int
-cmath_isclose_impl(PyObject *module, Py_complex a, Py_complex b,
- double rel_tol, double abs_tol)
-/*[clinic end generated code: output=8a2486cc6e0014d1 input=df9636d7de1d4ac3]*/
-{
- double diff;
-
- /* sanity check on the inputs */
- if (rel_tol < 0.0 || abs_tol < 0.0 ) {
- PyErr_SetString(PyExc_ValueError,
- "tolerances must be non-negative");
- return -1;
- }
-
- if ( (a.real == b.real) && (a.imag == b.imag) ) {
- /* short circuit exact equality -- needed to catch two infinities of
- the same sign. And perhaps speeds things up a bit sometimes.
- */
- return 1;
- }
-
- /* This catches the case of two infinities of opposite sign, or
- one infinity and one finite number. Two infinities of opposite
- sign would otherwise have an infinite relative tolerance.
- Two infinities of the same sign are caught by the equality check
- above.
- */
-
- if (Py_IS_INFINITY(a.real) || Py_IS_INFINITY(a.imag) ||
- Py_IS_INFINITY(b.real) || Py_IS_INFINITY(b.imag)) {
- return 0;
- }
-
- /* now do the regular computation
- this is essentially the "weak" test from the Boost library
- */
-
- diff = _Py_c_abs(_Py_c_diff(a, b));
-
- return (((diff <= rel_tol * _Py_c_abs(b)) ||
- (diff <= rel_tol * _Py_c_abs(a))) ||
- (diff <= abs_tol));
-}
-
-PyDoc_STRVAR(module_doc,
+{
+ Py_complex y;
+
+ errno = 0;
+ x = c_log(x);
+ if (y_obj != NULL) {
+ y = PyComplex_AsCComplex(y_obj);
+ if (PyErr_Occurred()) {
+ return NULL;
+ }
+ y = c_log(y);
+ x = _Py_c_quot(x, y);
+ }
+ if (errno != 0)
+ return math_error();
+ return PyComplex_FromCComplex(x);
+}
+
+
+/* And now the glue to make them available from Python: */
+
+static PyObject *
+math_error(void)
+{
+ if (errno == EDOM)
+ PyErr_SetString(PyExc_ValueError, "math domain error");
+ else if (errno == ERANGE)
+ PyErr_SetString(PyExc_OverflowError, "math range error");
+ else /* Unexpected math error */
+ PyErr_SetFromErrno(PyExc_ValueError);
+ return NULL;
+}
+
+
+/*[clinic input]
+cmath.phase
+
+ z: Py_complex
+ /
+
+Return argument, also known as the phase angle, of a complex.
+[clinic start generated code]*/
+
+static PyObject *
+cmath_phase_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=50725086a7bfd253 input=5cf75228ba94b69d]*/
+{
+ double phi;
+
+ errno = 0;
+ phi = c_atan2(z);
+ if (errno != 0)
+ return math_error();
+ else
+ return PyFloat_FromDouble(phi);
+}
+
+/*[clinic input]
+cmath.polar
+
+ z: Py_complex
+ /
+
+Convert a complex from rectangular coordinates to polar coordinates.
+
+r is the distance from 0 and phi the phase angle.
+[clinic start generated code]*/
+
+static PyObject *
+cmath_polar_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=d0a8147c41dbb654 input=26c353574fd1a861]*/
+{
+ double r, phi;
+
+ errno = 0;
+ phi = c_atan2(z); /* should not cause any exception */
+ r = _Py_c_abs(z); /* sets errno to ERANGE on overflow */
+ if (errno != 0)
+ return math_error();
+ else
+ return Py_BuildValue("dd", r, phi);
+}
+
+/*
+ rect() isn't covered by the C99 standard, but it's not too hard to
+ figure out 'spirit of C99' rules for special value handing:
+
+ rect(x, t) should behave like exp(log(x) + it) for positive-signed x
+ rect(x, t) should behave like -exp(log(-x) + it) for negative-signed x
+ rect(nan, t) should behave like exp(nan + it), except that rect(nan, 0)
+ gives nan +- i0 with the sign of the imaginary part unspecified.
+
+*/
+
+static Py_complex rect_special_values[7][7];
+
+/*[clinic input]
+cmath.rect
+
+ r: double
+ phi: double
+ /
+
+Convert from polar coordinates to rectangular coordinates.
+[clinic start generated code]*/
+
+static PyObject *
+cmath_rect_impl(PyObject *module, double r, double phi)
+/*[clinic end generated code: output=385a0690925df2d5 input=24c5646d147efd69]*/
+{
+ Py_complex z;
+ errno = 0;
+
+ /* deal with special values */
+ if (!Py_IS_FINITE(r) || !Py_IS_FINITE(phi)) {
+ /* if r is +/-infinity and phi is finite but nonzero then
+ result is (+-INF +-INF i), but we need to compute cos(phi)
+ and sin(phi) to figure out the signs. */
+ if (Py_IS_INFINITY(r) && (Py_IS_FINITE(phi)
+ && (phi != 0.))) {
+ if (r > 0) {
+ z.real = copysign(INF, cos(phi));
+ z.imag = copysign(INF, sin(phi));
+ }
+ else {
+ z.real = -copysign(INF, cos(phi));
+ z.imag = -copysign(INF, sin(phi));
+ }
+ }
+ else {
+ z = rect_special_values[special_type(r)]
+ [special_type(phi)];
+ }
+ /* need to set errno = EDOM if r is a nonzero number and phi
+ is infinite */
+ if (r != 0. && !Py_IS_NAN(r) && Py_IS_INFINITY(phi))
+ errno = EDOM;
+ else
+ errno = 0;
+ }
+ else if (phi == 0.0) {
+ /* Workaround for buggy results with phi=-0.0 on OS X 10.8. See
+ bugs.python.org/issue18513. */
+ z.real = r;
+ z.imag = r * phi;
+ errno = 0;
+ }
+ else {
+ z.real = r * cos(phi);
+ z.imag = r * sin(phi);
+ errno = 0;
+ }
+
+ if (errno != 0)
+ return math_error();
+ else
+ return PyComplex_FromCComplex(z);
+}
+
+/*[clinic input]
+cmath.isfinite = cmath.polar
+
+Return True if both the real and imaginary parts of z are finite, else False.
+[clinic start generated code]*/
+
+static PyObject *
+cmath_isfinite_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=ac76611e2c774a36 input=848e7ee701895815]*/
+{
+ return PyBool_FromLong(Py_IS_FINITE(z.real) && Py_IS_FINITE(z.imag));
+}
+
+/*[clinic input]
+cmath.isnan = cmath.polar
+
+Checks if the real or imaginary part of z not a number (NaN).
+[clinic start generated code]*/
+
+static PyObject *
+cmath_isnan_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=e7abf6e0b28beab7 input=71799f5d284c9baf]*/
+{
+ return PyBool_FromLong(Py_IS_NAN(z.real) || Py_IS_NAN(z.imag));
+}
+
+/*[clinic input]
+cmath.isinf = cmath.polar
+
+Checks if the real or imaginary part of z is infinite.
+[clinic start generated code]*/
+
+static PyObject *
+cmath_isinf_impl(PyObject *module, Py_complex z)
+/*[clinic end generated code: output=502a75a79c773469 input=363df155c7181329]*/
+{
+ return PyBool_FromLong(Py_IS_INFINITY(z.real) ||
+ Py_IS_INFINITY(z.imag));
+}
+
+/*[clinic input]
+cmath.isclose -> bool
+
+ a: Py_complex
+ b: Py_complex
+ *
+ rel_tol: double = 1e-09
+ maximum difference for being considered "close", relative to the
+ magnitude of the input values
+ abs_tol: double = 0.0
+ maximum difference for being considered "close", regardless of the
+ magnitude of the input values
+
+Determine whether two complex numbers are close in value.
+
+Return True if a is close in value to b, and False otherwise.
+
+For the values to be considered close, the difference between them must be
+smaller than at least one of the tolerances.
+
+-inf, inf and NaN behave similarly to the IEEE 754 Standard. That is, NaN is
+not close to anything, even itself. inf and -inf are only close to themselves.
+[clinic start generated code]*/
+
+static int
+cmath_isclose_impl(PyObject *module, Py_complex a, Py_complex b,
+ double rel_tol, double abs_tol)
+/*[clinic end generated code: output=8a2486cc6e0014d1 input=df9636d7de1d4ac3]*/
+{
+ double diff;
+
+ /* sanity check on the inputs */
+ if (rel_tol < 0.0 || abs_tol < 0.0 ) {
+ PyErr_SetString(PyExc_ValueError,
+ "tolerances must be non-negative");
+ return -1;
+ }
+
+ if ( (a.real == b.real) && (a.imag == b.imag) ) {
+ /* short circuit exact equality -- needed to catch two infinities of
+ the same sign. And perhaps speeds things up a bit sometimes.
+ */
+ return 1;
+ }
+
+ /* This catches the case of two infinities of opposite sign, or
+ one infinity and one finite number. Two infinities of opposite
+ sign would otherwise have an infinite relative tolerance.
+ Two infinities of the same sign are caught by the equality check
+ above.
+ */
+
+ if (Py_IS_INFINITY(a.real) || Py_IS_INFINITY(a.imag) ||
+ Py_IS_INFINITY(b.real) || Py_IS_INFINITY(b.imag)) {
+ return 0;
+ }
+
+ /* now do the regular computation
+ this is essentially the "weak" test from the Boost library
+ */
+
+ diff = _Py_c_abs(_Py_c_diff(a, b));
+
+ return (((diff <= rel_tol * _Py_c_abs(b)) ||
+ (diff <= rel_tol * _Py_c_abs(a))) ||
+ (diff <= abs_tol));
+}
+
+PyDoc_STRVAR(module_doc,
"This module provides access to mathematical functions for complex\n"
"numbers.");
-
-static PyMethodDef cmath_methods[] = {
- CMATH_ACOS_METHODDEF
- CMATH_ACOSH_METHODDEF
- CMATH_ASIN_METHODDEF
- CMATH_ASINH_METHODDEF
- CMATH_ATAN_METHODDEF
- CMATH_ATANH_METHODDEF
- CMATH_COS_METHODDEF
- CMATH_COSH_METHODDEF
- CMATH_EXP_METHODDEF
- CMATH_ISCLOSE_METHODDEF
- CMATH_ISFINITE_METHODDEF
- CMATH_ISINF_METHODDEF
- CMATH_ISNAN_METHODDEF
- CMATH_LOG_METHODDEF
- CMATH_LOG10_METHODDEF
- CMATH_PHASE_METHODDEF
- CMATH_POLAR_METHODDEF
- CMATH_RECT_METHODDEF
- CMATH_SIN_METHODDEF
- CMATH_SINH_METHODDEF
- CMATH_SQRT_METHODDEF
- CMATH_TAN_METHODDEF
- CMATH_TANH_METHODDEF
- {NULL, NULL} /* sentinel */
-};
-
-
-static struct PyModuleDef cmathmodule = {
- PyModuleDef_HEAD_INIT,
- "cmath",
- module_doc,
- -1,
- cmath_methods,
- NULL,
- NULL,
- NULL,
- NULL
-};
-
-PyMODINIT_FUNC
-PyInit_cmath(void)
-{
- PyObject *m;
-
- m = PyModule_Create(&cmathmodule);
- if (m == NULL)
- return NULL;
-
- PyModule_AddObject(m, "pi",
- PyFloat_FromDouble(Py_MATH_PI));
- PyModule_AddObject(m, "e", PyFloat_FromDouble(Py_MATH_E));
- PyModule_AddObject(m, "tau", PyFloat_FromDouble(Py_MATH_TAU)); /* 2pi */
- PyModule_AddObject(m, "inf", PyFloat_FromDouble(m_inf()));
- PyModule_AddObject(m, "infj", PyComplex_FromCComplex(c_infj()));
-#if !defined(PY_NO_SHORT_FLOAT_REPR) || defined(Py_NAN)
- PyModule_AddObject(m, "nan", PyFloat_FromDouble(m_nan()));
- PyModule_AddObject(m, "nanj", PyComplex_FromCComplex(c_nanj()));
-#endif
-
- /* initialize special value tables */
-
-#define INIT_SPECIAL_VALUES(NAME, BODY) { Py_complex* p = (Py_complex*)NAME; BODY }
-#define C(REAL, IMAG) p->real = REAL; p->imag = IMAG; ++p;
-
- INIT_SPECIAL_VALUES(acos_special_values, {
- C(P34,INF) C(P,INF) C(P,INF) C(P,-INF) C(P,-INF) C(P34,-INF) C(N,INF)
- C(P12,INF) C(U,U) C(U,U) C(U,U) C(U,U) C(P12,-INF) C(N,N)
- C(P12,INF) C(U,U) C(P12,0.) C(P12,-0.) C(U,U) C(P12,-INF) C(P12,N)
- C(P12,INF) C(U,U) C(P12,0.) C(P12,-0.) C(U,U) C(P12,-INF) C(P12,N)
- C(P12,INF) C(U,U) C(U,U) C(U,U) C(U,U) C(P12,-INF) C(N,N)
- C(P14,INF) C(0.,INF) C(0.,INF) C(0.,-INF) C(0.,-INF) C(P14,-INF) C(N,INF)
- C(N,INF) C(N,N) C(N,N) C(N,N) C(N,N) C(N,-INF) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(acosh_special_values, {
- C(INF,-P34) C(INF,-P) C(INF,-P) C(INF,P) C(INF,P) C(INF,P34) C(INF,N)
- C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(0.,-P12) C(0.,P12) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(0.,-P12) C(0.,P12) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P14) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,P14) C(INF,N)
- C(INF,N) C(N,N) C(N,N) C(N,N) C(N,N) C(INF,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(asinh_special_values, {
- C(-INF,-P14) C(-INF,-0.) C(-INF,-0.) C(-INF,0.) C(-INF,0.) C(-INF,P14) C(-INF,N)
- C(-INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(-INF,P12) C(N,N)
- C(-INF,-P12) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(-INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P14) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,P14) C(INF,N)
- C(INF,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(INF,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(atanh_special_values, {
- C(-0.,-P12) C(-0.,-P12) C(-0.,-P12) C(-0.,P12) C(-0.,P12) C(-0.,P12) C(-0.,N)
- C(-0.,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(-0.,P12) C(N,N)
- C(-0.,-P12) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(-0.,P12) C(-0.,N)
- C(0.,-P12) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,P12) C(0.,N)
- C(0.,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(0.,P12) C(N,N)
- C(0.,-P12) C(0.,-P12) C(0.,-P12) C(0.,P12) C(0.,P12) C(0.,P12) C(0.,N)
- C(0.,-P12) C(N,N) C(N,N) C(N,N) C(N,N) C(0.,P12) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(cosh_special_values, {
- C(INF,N) C(U,U) C(INF,0.) C(INF,-0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(N,0.) C(U,U) C(1.,0.) C(1.,-0.) C(U,U) C(N,0.) C(N,0.)
- C(N,0.) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(N,0.) C(N,0.)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(N,N) C(N,0.) C(N,0.) C(N,N) C(N,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(exp_special_values, {
- C(0.,0.) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,0.) C(0.,0.)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(N,N) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(N,N) C(N,N)
- C(N,N) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(N,N) C(N,N)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(N,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(log_special_values, {
- C(INF,-P34) C(INF,-P) C(INF,-P) C(INF,P) C(INF,P) C(INF,P34) C(INF,N)
- C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(-INF,-P) C(-INF,P) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(-INF,-0.) C(-INF,0.) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
- C(INF,-P14) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,P14) C(INF,N)
- C(INF,N) C(N,N) C(N,N) C(N,N) C(N,N) C(INF,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(sinh_special_values, {
- C(INF,N) C(U,U) C(-INF,-0.) C(-INF,0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(0.,N) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(0.,N) C(0.,N)
- C(0.,N) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,N) C(0.,N)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(N,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(sqrt_special_values, {
- C(INF,-INF) C(0.,-INF) C(0.,-INF) C(0.,INF) C(0.,INF) C(INF,INF) C(N,INF)
- C(INF,-INF) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,INF) C(N,N)
- C(INF,-INF) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(INF,INF) C(N,N)
- C(INF,-INF) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(INF,INF) C(N,N)
- C(INF,-INF) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,INF) C(N,N)
- C(INF,-INF) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,INF) C(INF,N)
- C(INF,-INF) C(N,N) C(N,N) C(N,N) C(N,N) C(INF,INF) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(tanh_special_values, {
- C(-1.,0.) C(U,U) C(-1.,-0.) C(-1.,0.) C(U,U) C(-1.,0.) C(-1.,0.)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(N,N) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(N,N) C(N,N)
- C(N,N) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(N,N) C(N,N)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(1.,0.) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(1.,0.) C(1.,0.)
- C(N,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(N,N) C(N,N)
- })
-
- INIT_SPECIAL_VALUES(rect_special_values, {
- C(INF,N) C(U,U) C(-INF,0.) C(-INF,-0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(0.,0.) C(U,U) C(-0.,0.) C(-0.,-0.) C(U,U) C(0.,0.) C(0.,0.)
- C(0.,0.) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,0.) C(0.,0.)
- C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
- C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
- C(N,N) C(N,N) C(N,0.) C(N,0.) C(N,N) C(N,N) C(N,N)
- })
- return m;
-}
+
+static PyMethodDef cmath_methods[] = {
+ CMATH_ACOS_METHODDEF
+ CMATH_ACOSH_METHODDEF
+ CMATH_ASIN_METHODDEF
+ CMATH_ASINH_METHODDEF
+ CMATH_ATAN_METHODDEF
+ CMATH_ATANH_METHODDEF
+ CMATH_COS_METHODDEF
+ CMATH_COSH_METHODDEF
+ CMATH_EXP_METHODDEF
+ CMATH_ISCLOSE_METHODDEF
+ CMATH_ISFINITE_METHODDEF
+ CMATH_ISINF_METHODDEF
+ CMATH_ISNAN_METHODDEF
+ CMATH_LOG_METHODDEF
+ CMATH_LOG10_METHODDEF
+ CMATH_PHASE_METHODDEF
+ CMATH_POLAR_METHODDEF
+ CMATH_RECT_METHODDEF
+ CMATH_SIN_METHODDEF
+ CMATH_SINH_METHODDEF
+ CMATH_SQRT_METHODDEF
+ CMATH_TAN_METHODDEF
+ CMATH_TANH_METHODDEF
+ {NULL, NULL} /* sentinel */
+};
+
+
+static struct PyModuleDef cmathmodule = {
+ PyModuleDef_HEAD_INIT,
+ "cmath",
+ module_doc,
+ -1,
+ cmath_methods,
+ NULL,
+ NULL,
+ NULL,
+ NULL
+};
+
+PyMODINIT_FUNC
+PyInit_cmath(void)
+{
+ PyObject *m;
+
+ m = PyModule_Create(&cmathmodule);
+ if (m == NULL)
+ return NULL;
+
+ PyModule_AddObject(m, "pi",
+ PyFloat_FromDouble(Py_MATH_PI));
+ PyModule_AddObject(m, "e", PyFloat_FromDouble(Py_MATH_E));
+ PyModule_AddObject(m, "tau", PyFloat_FromDouble(Py_MATH_TAU)); /* 2pi */
+ PyModule_AddObject(m, "inf", PyFloat_FromDouble(m_inf()));
+ PyModule_AddObject(m, "infj", PyComplex_FromCComplex(c_infj()));
+#if !defined(PY_NO_SHORT_FLOAT_REPR) || defined(Py_NAN)
+ PyModule_AddObject(m, "nan", PyFloat_FromDouble(m_nan()));
+ PyModule_AddObject(m, "nanj", PyComplex_FromCComplex(c_nanj()));
+#endif
+
+ /* initialize special value tables */
+
+#define INIT_SPECIAL_VALUES(NAME, BODY) { Py_complex* p = (Py_complex*)NAME; BODY }
+#define C(REAL, IMAG) p->real = REAL; p->imag = IMAG; ++p;
+
+ INIT_SPECIAL_VALUES(acos_special_values, {
+ C(P34,INF) C(P,INF) C(P,INF) C(P,-INF) C(P,-INF) C(P34,-INF) C(N,INF)
+ C(P12,INF) C(U,U) C(U,U) C(U,U) C(U,U) C(P12,-INF) C(N,N)
+ C(P12,INF) C(U,U) C(P12,0.) C(P12,-0.) C(U,U) C(P12,-INF) C(P12,N)
+ C(P12,INF) C(U,U) C(P12,0.) C(P12,-0.) C(U,U) C(P12,-INF) C(P12,N)
+ C(P12,INF) C(U,U) C(U,U) C(U,U) C(U,U) C(P12,-INF) C(N,N)
+ C(P14,INF) C(0.,INF) C(0.,INF) C(0.,-INF) C(0.,-INF) C(P14,-INF) C(N,INF)
+ C(N,INF) C(N,N) C(N,N) C(N,N) C(N,N) C(N,-INF) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(acosh_special_values, {
+ C(INF,-P34) C(INF,-P) C(INF,-P) C(INF,P) C(INF,P) C(INF,P34) C(INF,N)
+ C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(0.,-P12) C(0.,P12) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(0.,-P12) C(0.,P12) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P14) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,P14) C(INF,N)
+ C(INF,N) C(N,N) C(N,N) C(N,N) C(N,N) C(INF,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(asinh_special_values, {
+ C(-INF,-P14) C(-INF,-0.) C(-INF,-0.) C(-INF,0.) C(-INF,0.) C(-INF,P14) C(-INF,N)
+ C(-INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(-INF,P12) C(N,N)
+ C(-INF,-P12) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(-INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P14) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,P14) C(INF,N)
+ C(INF,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(INF,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(atanh_special_values, {
+ C(-0.,-P12) C(-0.,-P12) C(-0.,-P12) C(-0.,P12) C(-0.,P12) C(-0.,P12) C(-0.,N)
+ C(-0.,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(-0.,P12) C(N,N)
+ C(-0.,-P12) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(-0.,P12) C(-0.,N)
+ C(0.,-P12) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,P12) C(0.,N)
+ C(0.,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(0.,P12) C(N,N)
+ C(0.,-P12) C(0.,-P12) C(0.,-P12) C(0.,P12) C(0.,P12) C(0.,P12) C(0.,N)
+ C(0.,-P12) C(N,N) C(N,N) C(N,N) C(N,N) C(0.,P12) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(cosh_special_values, {
+ C(INF,N) C(U,U) C(INF,0.) C(INF,-0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(N,0.) C(U,U) C(1.,0.) C(1.,-0.) C(U,U) C(N,0.) C(N,0.)
+ C(N,0.) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(N,0.) C(N,0.)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(N,N) C(N,0.) C(N,0.) C(N,N) C(N,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(exp_special_values, {
+ C(0.,0.) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,0.) C(0.,0.)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(N,N) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(N,N) C(N,N)
+ C(N,N) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(N,N) C(N,N)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(N,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(log_special_values, {
+ C(INF,-P34) C(INF,-P) C(INF,-P) C(INF,P) C(INF,P) C(INF,P34) C(INF,N)
+ C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(-INF,-P) C(-INF,P) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(-INF,-0.) C(-INF,0.) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P12) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,P12) C(N,N)
+ C(INF,-P14) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,P14) C(INF,N)
+ C(INF,N) C(N,N) C(N,N) C(N,N) C(N,N) C(INF,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(sinh_special_values, {
+ C(INF,N) C(U,U) C(-INF,-0.) C(-INF,0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(0.,N) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(0.,N) C(0.,N)
+ C(0.,N) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,N) C(0.,N)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(N,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(sqrt_special_values, {
+ C(INF,-INF) C(0.,-INF) C(0.,-INF) C(0.,INF) C(0.,INF) C(INF,INF) C(N,INF)
+ C(INF,-INF) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,INF) C(N,N)
+ C(INF,-INF) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(INF,INF) C(N,N)
+ C(INF,-INF) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(INF,INF) C(N,N)
+ C(INF,-INF) C(U,U) C(U,U) C(U,U) C(U,U) C(INF,INF) C(N,N)
+ C(INF,-INF) C(INF,-0.) C(INF,-0.) C(INF,0.) C(INF,0.) C(INF,INF) C(INF,N)
+ C(INF,-INF) C(N,N) C(N,N) C(N,N) C(N,N) C(INF,INF) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(tanh_special_values, {
+ C(-1.,0.) C(U,U) C(-1.,-0.) C(-1.,0.) C(U,U) C(-1.,0.) C(-1.,0.)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(N,N) C(U,U) C(-0.,-0.) C(-0.,0.) C(U,U) C(N,N) C(N,N)
+ C(N,N) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(N,N) C(N,N)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(1.,0.) C(U,U) C(1.,-0.) C(1.,0.) C(U,U) C(1.,0.) C(1.,0.)
+ C(N,N) C(N,N) C(N,-0.) C(N,0.) C(N,N) C(N,N) C(N,N)
+ })
+
+ INIT_SPECIAL_VALUES(rect_special_values, {
+ C(INF,N) C(U,U) C(-INF,0.) C(-INF,-0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(0.,0.) C(U,U) C(-0.,0.) C(-0.,-0.) C(U,U) C(0.,0.) C(0.,0.)
+ C(0.,0.) C(U,U) C(0.,-0.) C(0.,0.) C(U,U) C(0.,0.) C(0.,0.)
+ C(N,N) C(U,U) C(U,U) C(U,U) C(U,U) C(N,N) C(N,N)
+ C(INF,N) C(U,U) C(INF,-0.) C(INF,0.) C(U,U) C(INF,N) C(INF,N)
+ C(N,N) C(N,N) C(N,0.) C(N,0.) C(N,N) C(N,N) C(N,N)
+ })
+ return m;
+}