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Copy pathcmathmodule.c
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1315 lines (1113 loc) · 39.1 KB
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/* Complex math module */
/* much code borrowed from mathmodule.c */
#ifndef Py_BUILD_CORE_BUILTIN
# define Py_BUILD_CORE_MODULE 1
#endif
#include "Python.h"
#include "pycore_complexobject.h" // _Py_c_neg()
#include "pycore_pymath.h" // _PY_SHORT_FLOAT_REPR
/* 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>
/* For _Py_log1p with workarounds for buggy handling of zeros. */
#include "_math.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]*/
/*[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)
/* 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 (isfinite(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 (isnan(d))
return ST_NAN;
if (copysign(1., d) == 1.)
return ST_PINF;
else
return ST_NINF;
}
#define SPECIAL_VALUE(z, table) \
if (!isfinite((z).real) || !isfinite((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 INFINITY
#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] = {
{ {P34,INF}, {P,INF}, {P,INF}, {P,-INF}, {P,-INF}, {P34,-INF}, {N,INF} },
{ {P12,INF}, {U,U}, {U,U}, {U,U}, {U,U}, {P12,-INF}, {N,N} },
{ {P12,INF}, {U,U}, {P12,0.}, {P12,-0.}, {U,U}, {P12,-INF}, {P12,N} },
{ {P12,INF}, {U,U}, {P12,0.}, {P12,-0.}, {U,U}, {P12,-INF}, {P12,N} },
{ {P12,INF}, {U,U}, {U,U}, {U,U}, {U,U}, {P12,-INF}, {N,N} },
{ {P14,INF}, {0.,INF}, {0.,INF}, {0.,-INF}, {0.,-INF}, {P14,-INF}, {N,INF} },
{ {N,INF}, {N,N}, {N,N}, {N,N}, {N,N}, {N,-INF}, {N,N} }
};
/*[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);
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 = asinh(s2.real*s1.imag - s2.imag*s1.real);
}
errno = 0;
return r;
}
static Py_complex acosh_special_values[7][7] = {
{ {INF,-P34}, {INF,-P}, {INF,-P}, {INF,P}, {INF,P}, {INF,P34}, {INF,N} },
{ {INF,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P12}, {U,U}, {0.,-P12}, {0.,P12}, {U,U}, {INF,P12}, {N,P12} },
{ {INF,-P12}, {U,U}, {0.,-P12}, {0.,P12}, {U,U}, {INF,P12}, {N,P12} },
{ {INF,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P14}, {INF,-0.}, {INF,-0.}, {INF,0.}, {INF,0.}, {INF,P14}, {INF,N} },
{ {INF,N}, {N,N}, {N,N}, {N,N}, {N,N}, {INF,N}, {N,N} }
};
/*[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 = 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] = {
{ {-INF,-P14}, {-INF,-0.}, {-INF,-0.}, {-INF,0.}, {-INF,0.}, {-INF,P14}, {-INF,N} },
{ {-INF,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {-INF,P12}, {N,N} },
{ {-INF,-P12}, {U,U}, {-0.,-0.}, {-0.,0.}, {U,U}, {-INF,P12}, {N,N} },
{ {INF,-P12}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P14}, {INF,-0.}, {INF,-0.}, {INF,0.}, {INF,0.}, {INF,P14}, {INF,N} },
{ {INF,N}, {N,N}, {N,-0.}, {N,0.}, {N,N}, {INF,N}, {N,N} }
};
/*[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 = 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;
}
static Py_complex atanh_special_values[7][7] = {
{ {-0.,-P12}, {-0.,-P12}, {-0.,-P12}, {-0.,P12}, {-0.,P12}, {-0.,P12}, {-0.,N} },
{ {-0.,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {-0.,P12}, {N,N} },
{ {-0.,-P12}, {U,U}, {-0.,-0.}, {-0.,0.}, {U,U}, {-0.,P12}, {-0.,N} },
{ {0.,-P12}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {0.,P12}, {0.,N} },
{ {0.,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {0.,P12}, {N,N} },
{ {0.,-P12}, {0.,-P12}, {0.,-P12}, {0.,P12}, {0.,P12}, {0.,P12}, {0.,N} },
{ {0.,-P12}, {N,N}, {N,N}, {N,N}, {N,N}, {0.,P12}, {N,N} }
};
/*[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;
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] = {
{ {INF,N}, {U,U}, {INF,0.}, {INF,-0.}, {U,U}, {INF,N}, {INF,N} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {N,0.}, {U,U}, {1.,0.}, {1.,-0.}, {U,U}, {N,0.}, {N,0.} },
{ {N,0.}, {U,U}, {1.,-0.}, {1.,0.}, {U,U}, {N,0.}, {N,0.} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {INF,N}, {U,U}, {INF,-0.}, {INF,0.}, {U,U}, {INF,N}, {INF,N} },
{ {N,N}, {N,N}, {N,0.}, {N,0.}, {N,N}, {N,N}, {N,N} }
};
/*[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 (!isfinite(z.real) || !isfinite(z.imag)) {
if (isinf(z.real) && isfinite(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 (isinf(z.imag) && !isnan(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 (isinf(r.real) || isinf(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] = {
{ {0.,0.}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {0.,0.}, {0.,0.} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {N,N}, {U,U}, {1.,-0.}, {1.,0.}, {U,U}, {N,N}, {N,N} },
{ {N,N}, {U,U}, {1.,-0.}, {1.,0.}, {U,U}, {N,N}, {N,N} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {INF,N}, {U,U}, {INF,-0.}, {INF,0.}, {U,U}, {INF,N}, {INF,N} },
{ {N,N}, {N,N}, {N,-0.}, {N,0.}, {N,N}, {N,N}, {N,N} }
};
/*[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 (!isfinite(z.real) || !isfinite(z.imag)) {
if (isinf(z.real) && isfinite(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 (isinf(z.imag) &&
(isfinite(z.real) ||
(isinf(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 (isinf(r.real) || isinf(r.imag))
errno = ERANGE;
else
errno = 0;
return r;
}
static Py_complex log_special_values[7][7] = {
{ {INF,-P34}, {INF,-P}, {INF,-P}, {INF,P}, {INF,P}, {INF,P34}, {INF,N} },
{ {INF,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P12}, {U,U}, {-INF,-P}, {-INF,P}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P12}, {U,U}, {-INF,-0.}, {-INF,0.}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P12}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,P12}, {N,N} },
{ {INF,-P14}, {INF,-0.}, {INF,-0.}, {INF,0.}, {INF,0.}, {INF,P14}, {INF,N} },
{ {INF,N}, {N,N}, {N,N}, {N,N}, {N,N}, {INF,N}, {N,N} }
};
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] = {
{ {INF,N}, {U,U}, {-INF,-0.}, {-INF,0.}, {U,U}, {INF,N}, {INF,N} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {0.,N}, {U,U}, {-0.,-0.}, {-0.,0.}, {U,U}, {0.,N}, {0.,N} },
{ {0.,N}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {0.,N}, {0.,N} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {INF,N}, {U,U}, {INF,-0.}, {INF,0.}, {U,U}, {INF,N}, {INF,N} },
{ {N,N}, {N,N}, {N,-0.}, {N,0.}, {N,N}, {N,N}, {N,N} }
};
/*[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 (!isfinite(z.real) || !isfinite(z.imag)) {
if (isinf(z.real) && isfinite(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 (isinf(z.imag) && !isnan(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 (isinf(r.real) || isinf(r.imag))
errno = ERANGE;
else
errno = 0;
return r;
}
static Py_complex sqrt_special_values[7][7] = {
{ {INF,-INF}, {0.,-INF}, {0.,-INF}, {0.,INF}, {0.,INF}, {INF,INF}, {N,INF} },
{ {INF,-INF}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,INF}, {N,N} },
{ {INF,-INF}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {INF,INF}, {N,N} },
{ {INF,-INF}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {INF,INF}, {N,N} },
{ {INF,-INF}, {U,U}, {U,U}, {U,U}, {U,U}, {INF,INF}, {N,N} },
{ {INF,-INF}, {INF,-0.}, {INF,-0.}, {INF,0.}, {INF,0.}, {INF,INF}, {INF,N} },
{ {INF,-INF}, {N,N}, {N,N}, {N,N}, {N,N}, {INF,INF}, {N,N} }
};
/*[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) {
/* 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] = {
{ {-1.,0.}, {U,U}, {-1.,-0.}, {-1.,0.}, {U,U}, {-1.,0.}, {-1.,0.} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {-0.0,N}, {U,U}, {-0.,-0.}, {-0.,0.}, {U,U}, {-0.0,N}, {-0.,N} },
{ {0.0,N}, {U,U}, {0.,-0.}, {0.,0.}, {U,U}, {0.0,N}, {0.,N} },
{ {N,N}, {U,U}, {U,U}, {U,U}, {U,U}, {N,N}, {N,N} },
{ {1.,0.}, {U,U}, {1.,-0.}, {1.,0.}, {U,U}, {1.,0.}, {1.,0.} },
{ {N,N}, {N,N}, {N,-0.}, {N,0.}, {N,N}, {N,N}, {N,N} }
};
/*[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 (!isfinite(z.real) || !isfinite(z.imag)) {
if (isinf(z.real) && isfinite(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 (isinf(z.imag) && isfinite(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 is 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=e1f81d4fcfd26497]*/
{
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 *
You can’t perform that action at this time.