同步操作将从 OpenHarmony-SIG/python 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
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/* Complex math module *//* much code borrowed from mathmodule.c */#include "Python.h"#include "_math.h"/* we need DBL_MAX, DBL_MIN, DBL_EPSILON, DBL_MANT_DIG and FLT_RADIX fromfloat.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; PyFPE_START_PROTECT("complex function", goto exit);'class Py_complex_protected_return_converter(CReturnConverter):type = "Py_complex"def render(self, function, data):self.declare(data)data.return_conversion.append("""PyFPE_END_PROTECT(_return_value);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=345daa075b1028e7]*/#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 theevaluation of exp, cos, cosh, sin, sinh, tan, and tanh to avoid unnecessaryoverflow.*/#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 by2**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 computesquare roots accurately when the real and imaginary parts of the argumentare 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 eitherPY_NO_SHORT_FLOAT_REPR is *not* defined (which should bethe most common situation on machines using an IEEE 754representation), or Py_NAN is defined. */static doublem_inf(void){#ifndef PY_NO_SHORT_FLOAT_REPRreturn _Py_dg_infinity(0);#elsereturn Py_HUGE_VAL;#endif}static Py_complexc_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 doublem_nan(void){#ifndef PY_NO_SHORT_FLOAT_REPRreturn _Py_dg_stdnan(0);#elsereturn Py_NAN;#endif}static Py_complexc_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 indicatingthe 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_typesspecial_type(double d){if (Py_IS_FINITE(d)) {if (d != 0) {if (copysign(1., d) == 1.)return ST_POS;elsereturn ST_NEG;}else {if (copysign(1., d) == 1.)return ST_PZERO;elsereturn ST_NZERO;}}if (Py_IS_NAN(d))return ST_NAN;if (copysign(1., d) == 1.)return ST_PINF;elsereturn 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 resultand also sets errno as follows: errno = 0 if no floating-pointexception is associated with the result; errno = EDOM if C99 AnnexG recommends raising divide-by-zero or invalid for this result; anderrno = ERANGE where the overflow floating-point signal should beraised.*/static Py_complex acos_special_values[7][7];/*[clinic input]cmath.acos -> Py_complex_protectedz: Py_complex_protected/Return the arc cosine of z.[clinic start generated code]*/static Py_complexcmath_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 thecorrect 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.acosReturn the inverse hyperbolic cosine of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the arc sine of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the inverse hyperbolic sine of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the arc tangent of z.[clinic start generated code]*/static Py_complexcmath_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 followC99 for atan2(0., 0.). */static doublec_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.acosReturn the inverse hyperbolic tangent of z.[clinic start generated code]*/static Py_complexcmath_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 approximationatanh(z) ~ 1/z +/- i*pi/2 (+/- depending on the signof 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 outexcept when working with unsigned zeros: they're there toensure that the branch cut has the correct continuity onsystems 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.acosReturn the cosine of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the hyperbolic cosine of z.[clinic start generated code]*/static Py_complexcmath_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 nota NaN */if (Py_IS_INFINITY(z.imag) && !Py_IS_NAN(z.real))errno = EDOM;elseerrno = 0;return r;}if (fabs(z.real) > CM_LOG_LARGE_DOUBLE) {/* deal correctly with cases where cosh(z.real) overflows butcosh(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;elseerrno = 0;return r;}/* exp(infinity + i*y) and exp(-infinity + i*y) need special treatment forfinite y */static Py_complex exp_special_values[7][7];/*[clinic input]cmath.exp = cmath.acosReturn the exponential value e**z.[clinic start generated code]*/static Py_complexcmath_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 nota 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;elseerrno = 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;elseerrno = 0;return r;}static Py_complex log_special_values[7][7];static Py_complexc_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 potentiallyproblematic:(1) the absolute value of z is subnormal. Then hypot is subnormal,so has fewer than the usual number of bits of accuracy, hence mayhave large relative error. This then gives a large absolute errorin the log. This can be solved by rescaling z by a suitable powerof 2.(2) the absolute value of z is greater than DBL_MAX (e.g. when bothz.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'sdifficult to achieve good accuracy, at least in part because achange of 1ulp in the real or imaginary part of z can result in achange of billions of ulps in the correctly rounded answer.(4) z = 0. The simplest thing to do here is to call thefloating-point log with an argument of 0, and let its behaviour(returning -infinity, signaling a floating-point exception, settingerrno, or whatever) determine that of c_log. So the usual formulais 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.acosReturn the base-10 logarithm of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the sine of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the hyperbolic sine of z.[clinic start generated code]*/static Py_complexcmath_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 andnonzero */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 nota NaN */if (Py_IS_INFINITY(z.imag) && !Py_IS_NAN(z.real))errno = EDOM;elseerrno = 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;elseerrno = 0;return r;}static Py_complex sqrt_special_values[7][7];/*[clinic input]cmath.sqrt = cmath.acosReturn the square root of z.[clinic start generated code]*/static Py_complexcmath_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 isgiven bys = sqrt((x + hypot(x, y))/2)and the imaginary part isd = (y/2)/sIf either x or y is very large then there's a risk of overflow incomputation of the expression x + hypot(x, y). We can avoid thisby 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 theoverhead of checking for x and y large.If both x and y are subnormal then hypot(x, y) may also besubnormal, so will lack full precision. We solve this by rescalingx and y by a sufficiently large power of 2 to ensure that x and yare 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.acosReturn the tangent of z.[clinic start generated code]*/static Py_complexcmath_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.acosReturn the hyperbolic tangent of z.[clinic start generated code]*/static Py_complexcmath_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 computedas 1/cosh(x)^2. When abs(x) is large, we approximate 1-tanh(x)^2by 4 exp(-2*x) instead, to avoid possible overflow in thecomputation of cosh(x).*/Py_complex r;double tx, ty, cx, txty, denom;/* special treatment for tanh(+/-inf + iy) if y is finite andnonzero */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 andz.real is finite */if (Py_IS_INFINITY(z.imag) && Py_IS_FINITE(z.real))errno = EDOM;elseerrno = 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.logz as x: Py_complexbase 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)/*[clinic end generated code: output=4effdb7d258e0d94 input=230ed3a71ecd000a]*/{Py_complex y;errno = 0;PyFPE_START_PROTECT("complex function", return 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);}PyFPE_END_PROTECT(x)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.phasez: 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;PyFPE_START_PROTECT("arg function", return 0)phi = c_atan2(z);PyFPE_END_PROTECT(phi)if (errno != 0)return math_error();elsereturn PyFloat_FromDouble(phi);}/*[clinic input]cmath.polarz: 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;PyFPE_START_PROTECT("polar function", return 0)phi = c_atan2(z); /* should not cause any exception */r = _Py_c_abs(z); /* sets errno to ERANGE on overflow */PyFPE_END_PROTECT(r)if (errno != 0)return math_error();elsereturn Py_BuildValue("dd", r, phi);}/*rect() isn't covered by the C99 standard, but it's not too hard tofigure out 'spirit of C99' rules for special value handing:rect(x, t) should behave like exp(log(x) + it) for positive-signed xrect(x, t) should behave like -exp(log(-x) + it) for negative-signed xrect(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.rectr: doublephi: 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;PyFPE_START_PROTECT("rect function", return 0)/* deal with special values */if (!Py_IS_FINITE(r) || !Py_IS_FINITE(phi)) {/* if r is +/-infinity and phi is finite but nonzero thenresult 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 phiis infinite */if (r != 0. && !Py_IS_NAN(r) && Py_IS_INFINITY(phi))errno = EDOM;elseerrno = 0;}else if (phi == 0.0) {/* Workaround for buggy results with phi=-0.0 on OS X 10.8. Seebugs.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;}PyFPE_END_PROTECT(z)if (errno != 0)return math_error();elsereturn PyComplex_FromCComplex(z);}/*[clinic input]cmath.isfinite = cmath.polarReturn 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.polarChecks 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.polarChecks 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 -> boola: Py_complexb: Py_complex*rel_tol: double = 1e-09maximum difference for being considered "close", relative to themagnitude of the input valuesabs_tol: double = 0.0maximum difference for being considered "close", regardless of themagnitude of the input valuesDetermine 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 besmaller than at least one of the tolerances.-inf, inf and NaN behave similarly to the IEEE 754 Standard. That is, NaN isnot close to anything, even itself. inf and -inf are only close to themselves.[clinic start generated code]*/static intcmath_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 ofthe same sign. And perhaps speeds things up a bit sometimes.*/return 1;}/* This catches the case of two infinities of opposite sign, orone infinity and one finite number. Two infinities of oppositesign would otherwise have an infinite relative tolerance.Two infinities of the same sign are caught by the equality checkabove.*/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 computationthis 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_METHODDEFCMATH_ACOSH_METHODDEFCMATH_ASIN_METHODDEFCMATH_ASINH_METHODDEFCMATH_ATAN_METHODDEFCMATH_ATANH_METHODDEFCMATH_COS_METHODDEFCMATH_COSH_METHODDEFCMATH_EXP_METHODDEFCMATH_ISCLOSE_METHODDEFCMATH_ISFINITE_METHODDEFCMATH_ISINF_METHODDEFCMATH_ISNAN_METHODDEFCMATH_LOG_METHODDEFCMATH_LOG10_METHODDEFCMATH_PHASE_METHODDEFCMATH_POLAR_METHODDEFCMATH_RECT_METHODDEFCMATH_SIN_METHODDEFCMATH_SINH_METHODDEFCMATH_SQRT_METHODDEFCMATH_TAN_METHODDEFCMATH_TANH_METHODDEF{NULL, NULL} /* sentinel */};static struct PyModuleDef cmathmodule = {PyModuleDef_HEAD_INIT,"cmath",module_doc,-1,cmath_methods,NULL,NULL,NULL,NULL};PyMODINIT_FUNCPyInit_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;}
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