double npy_hypot(double x, double y)
{
double yx;
if (npy_isinf(x) || npy_isinf(y)) {
return NPY_INFINITY;
}
if (npy_isnan(x) || npy_isnan(y)) {
return NPY_NAN;
}
x = npy_fabs(x);
y = npy_fabs(y);
if (x < y) {
double temp = x;
x = y;
y = temp;
}
if (x == 0.) {
return 0.;
}
else {
yx = y/x;
return x*npy_sqrt(1.+yx*yx);
}
}
npy_cdouble cbesh_wrap2_e( double v, npy_cdouble z) {
int n = 1;
int kode = 2;
int m = 2;
int nz, ierr;
int sign = 1;
npy_cdouble cy;
cy.real = NPY_NAN;
cy.imag = NPY_NAN;
if (npy_isnan(v) || npy_isnan(z.real) || npy_isnan(z.imag)) {
return cy;
}
if (v < 0) {
v = -v;
sign = -1;
}
F_FUNC(zbesh,ZBESH)(CADDR(z), &v, &kode, &m, &n, CADDR(cy), &nz, &ierr);
DO_SFERR("hankel2e:", &cy);
if (sign == -1) {
cy = rotate(cy, -v);
}
return cy;
}
npy_cdouble cbesk_wrap_e( double v, npy_cdouble z) {
int n = 1;
int kode = 2;
int nz, ierr;
npy_cdouble cy;
cy.real = NPY_NAN;
cy.imag = NPY_NAN;
if (npy_isnan(v) || npy_isnan(z.real) || npy_isnan(z.imag)) {
return cy;
}
if (v < 0) {
/* K_v == K_{-v} even for non-integer v */
v = -v;
}
F_FUNC(zbesk,ZBESK)(CADDR(z), &v, &kode, &n, CADDR(cy), &nz, &ierr);
DO_SFERR("kve:", &cy);
if (ierr == 2) {
if (z.real >= 0 && z.imag == 0) {
/* overflow */
cy.real = NPY_INFINITY;
cy.imag = 0;
}
}
return cy;
}
int pbdv_wrap(double v, double x, double *pdf, double *pdd) {
double *dv;
double *dp;
int num;
if (npy_isnan(v) || npy_isnan(x)) {
*pdf = NPY_NAN;
*pdd = NPY_NAN;
return 0;
}
/* NB. Indexing of DV/DP in specfun.f:PBDV starts from 0, hence +2 */
num = ABS((int)v) + 2;
dv = (double *)PyMem_Malloc(sizeof(double)*2*num);
if (dv==NULL) {
sf_error("pbdv", SF_ERROR_OTHER, "memory allocation error");
*pdf = NPY_NAN;
*pdd = NPY_NAN;
return -1;
}
dp = dv + num;
F_FUNC(pbdv,PBDV)(&v, &x, dv, dp, pdf, pdd);
PyMem_Free(dv);
return 0;
}
npy_cdouble cbesj_wrap_e( double v, npy_cdouble z) {
int n = 1;
int kode = 2;
int nz, ierr;
int sign = 1;
npy_cdouble cy_j, cy_y, cwork;
cy_j.real = NPY_NAN;
cy_j.imag = NPY_NAN;
cy_y.real = NPY_NAN;
cy_y.imag = NPY_NAN;
if (npy_isnan(v) || npy_isnan(z.real) || npy_isnan(z.imag)) {
return cy_j;
}
if (v < 0) {
v = -v;
sign = -1;
}
F_FUNC(zbesj,ZBESJ)(CADDR(z), &v, &kode, &n, CADDR(cy_j), &nz, &ierr);
DO_SFERR("jve:", &cy_j);
if (sign == -1) {
if (!reflect_jy(&cy_j, v)) {
F_FUNC(zbesy,ZBESY)(CADDR(z), &v, &kode, &n, CADDR(cy_y), &nz, CADDR(cwork), &ierr);
DO_SFERR("jve(yve):", &cy_y);
cy_j = rotate_jy(cy_j, cy_y, v);
}
}
return cy_j;
}
double ndtr(double a)
{
double x, y, z;
if (npy_isnan(a)) {
mtherr("ndtr", DOMAIN);
return (NPY_NAN);
}
x = a * SQRTH;
z = fabs(x);
if( z < SQRTH )
y = 0.5 + 0.5 * erf(x);
else
{
y = 0.5 * erfc(z);
if( x > 0 )
y = 1.0 - y;
}
return(y);
}
npy_cdouble cbesy_wrap( double v, npy_cdouble z) {
int n = 1;
int kode = 1;
int nz, ierr;
int sign = 1;
npy_cdouble cy_y, cy_j, cwork;
cy_j.real = NPY_NAN;
cy_j.imag = NPY_NAN;
cy_y.real = NPY_NAN;
cy_y.imag = NPY_NAN;
if (npy_isnan(v) || npy_isnan(z.real) || npy_isnan(z.imag)) {
return cy_y;
}
if (v < 0) {
v = -v;
sign = -1;
}
if (z.real == 0 && z.imag == 0) {
/* overflow */
cy_y.real = -NPY_INFINITY;
cy_y.imag = 0;
sf_error("yv", SF_ERROR_OVERFLOW, NULL);
}
else {
F_FUNC(zbesy,ZBESY)(CADDR(z), &v, &kode, &n, CADDR(cy_y), &nz, CADDR(cwork), &ierr);
DO_SFERR("yv:", &cy_y);
if (ierr == 2) {
if (z.real >= 0 && z.imag == 0) {
/* overflow */
cy_y.real = -NPY_INFINITY;
cy_y.imag = 0;
}
}
}
if (sign == -1) {
if (!reflect_jy(&cy_y, v)) {
F_FUNC(zbesj,ZBESJ)(CADDR(z), &v, &kode, &n, CADDR(cy_j), &nz, &ierr);
DO_SFERR("yv(jv):", &cy_j);
cy_y = rotate_jy(cy_y, cy_j, -v);
}
}
return cy_y;
}
npy_cdouble cbesi_wrap( double v, npy_cdouble z) {
int n = 1;
int kode = 1;
int sign = 1;
int nz, ierr;
npy_cdouble cy, cy_k;
cy.real = NPY_NAN;
cy.imag = NPY_NAN;
cy_k.real = NPY_NAN;
cy_k.imag = NPY_NAN;
if (npy_isnan(v) || npy_isnan(z.real) || npy_isnan(z.imag)) {
return cy;
}
if (v < 0) {
v = -v;
sign = -1;
}
F_FUNC(zbesi,ZBESI)(CADDR(z), &v, &kode, &n, CADDR(cy), &nz, &ierr);
DO_SFERR("iv:", &cy);
if (ierr == 2) {
/* overflow */
if (z.imag == 0 && (z.real >= 0 || v == floor(v))) {
if (z.real < 0 && v/2 != floor(v/2))
cy.real = -NPY_INFINITY;
else
cy.real = NPY_INFINITY;
cy.imag = 0;
} else {
cy = cbesi_wrap_e(v*sign, z);
cy.real *= NPY_INFINITY;
cy.imag *= NPY_INFINITY;
}
}
if (sign == -1) {
if (!reflect_i(&cy, v)) {
F_FUNC(zbesk,ZBESK)(CADDR(z), &v, &kode, &n, CADDR(cy_k), &nz, &ierr);
DO_SFERR("iv(kv):", &cy_k);
cy = rotate_i(cy, cy_k, v);
}
}
return cy;
}
double igami(double a, double p)
{
int i;
double x, fac, f_fp, fpp_fp;
if (npy_isnan(a) || npy_isnan(p)) {
return NPY_NAN;
}
else if ((a < 0) || (p < 0) || (p > 1)) {
mtherr("gammaincinv", DOMAIN);
}
else if (p == 0.0) {
return 0.0;
}
else if (p == 1.0) {
return NPY_INFINITY;
}
else if (p > 0.9) {
return igamci(a, 1 - p);
}
x = find_inverse_gamma(a, p, 1 - p);
/* Halley's method */
for (i = 0; i < 3; i++) {
fac = igam_fac(a, x);
if (fac == 0.0) {
return x;
}
f_fp = (igam(a, x) - p) * x / fac;
/* The ratio of the first and second derivatives simplifies */
fpp_fp = -1.0 + (a - 1) / x;
if (npy_isinf(fpp_fp)) {
/* Resort to Newton's method in the case of overflow */
x = x - f_fp;
}
else {
x = x - f_fp / (1.0 - 0.5 * f_fp * fpp_fp);
}
}
return x;
}
npy_cdouble cbesi_wrap_e( double v, npy_cdouble z) {
int n = 1;
int kode = 2;
int sign = 1;
int nz, ierr;
npy_cdouble cy, cy_k;
cy.real = NPY_NAN;
cy.imag = NPY_NAN;
cy_k.real = NPY_NAN;
cy_k.imag = NPY_NAN;
if (npy_isnan(v) || npy_isnan(z.real) || npy_isnan(z.imag)) {
return cy;
}
if (v < 0) {
v = -v;
sign = -1;
}
F_FUNC(zbesi,ZBESI)(CADDR(z), &v, &kode, &n, CADDR(cy), &nz, &ierr);
DO_SFERR("ive:", &cy);
if (sign == -1) {
if (!reflect_i(&cy, v)) {
F_FUNC(zbesk,ZBESK)(CADDR(z), &v, &kode, &n, CADDR(cy_k), &nz, &ierr);
DO_SFERR("ive(kv):", &cy_k);
/* adjust scaling to match zbesi */
cy_k = rotate(cy_k, -z.imag/NPY_PI);
if (z.real > 0) {
cy_k.real *= exp(-2*z.real);
cy_k.imag *= exp(-2*z.real);
}
/* v -> -v */
cy = rotate_i(cy, cy_k, v);
}
}
return cy;
}
double igamci(double a, double q)
{
int i;
double x, fac, f_fp, fpp_fp;
if (npy_isnan(a) || npy_isnan(q)) {
return NPY_NAN;
}
else if ((a < 0.0) || (q < 0.0) || (q > 1.0)) {
mtherr("gammainccinv", DOMAIN);
}
else if (q == 0.0) {
return NPY_INFINITY;
}
else if (q == 1.0) {
return 0.0;
}
else if (q > 0.9) {
return igami(a, 1 - q);
}
x = find_inverse_gamma(a, 1 - q, q);
for (i = 0; i < 3; i++) {
fac = igam_fac(a, x);
if (fac == 0.0) {
return x;
}
f_fp = (igamc(a, x) - q) * x / (-fac);
fpp_fp = -1.0 + (a - 1) / x;
if (npy_isinf(fpp_fp)) {
x = x - f_fp;
}
else {
x = x - f_fp / (1.0 - 0.5 * f_fp * fpp_fp);
}
}
return x;
}
double erfc(double a)
{
double p,q,x,y,z;
if (npy_isnan(a)) {
mtherr("erfc", DOMAIN);
return (NPY_NAN);
}
if( a < 0.0 )
x = -a;
else
x = a;
if( x < 1.0 )
return( 1.0 - erf(a) );
z = -a * a;
if( z < -MAXLOG )
{
under:
mtherr( "erfc", UNDERFLOW );
if( a < 0 )
return( 2.0 );
else
return( 0.0 );
}
z = exp(z);
if( x < 8.0 )
{
p = polevl( x, P, 8 );
q = p1evl( x, Q, 8 );
}
else
{
p = polevl( x, R, 5 );
q = p1evl( x, S, 6 );
}
y = (z * p)/q;
if( a < 0 )
y = 2.0 - y;
if( y == 0.0 )
goto under;
return(y);
}
int pbvv_wrap(double v, double x, double *pvf, double *pvd) {
double *vv;
double *vp;
int num;
if (npy_isnan(v) || npy_isnan(x)) {
*pvf = NPY_NAN;
*pvd = NPY_NAN;
return 0;
}
/* NB. Indexing of DV/DP in specfun.f:PBVV starts from 0, hence +2 */
num = ABS((int)v) + 2;
vv = (double *)PyMem_Malloc(sizeof(double)*2*num);
if (vv==NULL) {
sf_error("pbvv", SF_ERROR_OTHER, "memory allocation error");
*pvf = NPY_NAN;
*pvd = NPY_NAN;
return -1;
}
vp = vv + num;
F_FUNC(pbvv,PBVV)(&v, &x, vv, vp, pvf, pvd);
PyMem_Free(vv);
return 0;
}
double erf(double x)
{
double y, z;
if (npy_isnan(x)) {
mtherr("erf", DOMAIN);
return (NPY_NAN);
}
if( fabs(x) > 1.0 )
return( 1.0 - erfc(x) );
z = x * x;
y = x * polevl( z, T, 4 ) / p1evl( z, U, 5 );
return( y );
}
double exp10(double x)
{
double px, xx;
short n;
if (npy_isnan(x))
return (x);
if (x > MAXL10) {
return (NPY_INFINITY);
}
if (x < -MAXL10) { /* Would like to use MINLOG but can't */
mtherr("exp10", UNDERFLOW);
return (0.0);
}
/* Express 10**x = 10**g 2**n
* = 10**g 10**( n log10(2) )
* = 10**( g + n log10(2) )
*/
px = floor(LOG210 * x + 0.5);
n = px;
x -= px * LG102A;
x -= px * LG102B;
/* rational approximation for exponential
* of the fractional part:
* 10**x = 1 + 2x P(x**2)/( Q(x**2) - P(x**2) )
*/
xx = x * x;
px = x * polevl(xx, P, 3);
x = px / (p1evl(xx, Q, 3) - px);
x = 1.0 + ldexp(x, 1);
/* multiply by power of 2 */
x = ldexp(x, n);
return (x);
}
double exp2(double x)
{
double px, xx;
short n;
if( npy_isnan(x) )
return(x);
if( x > MAXL2)
{
return( NPY_INFINITY );
}
if( x < MINL2 )
{
return(0.0);
}
xx = x; /* save x */
/* separate into integer and fractional parts */
px = floor(x+0.5);
n = px;
x = x - px;
/* rational approximation
* exp2(x) = 1 + 2xP(xx)/(Q(xx) - P(xx))
* where xx = x**2
*/
xx = x * x;
px = x * polevl( xx, P, 2 );
x = px / ( p1evl( xx, Q, 2 ) - px );
x = 1.0 + ldexp( x, 1 );
/* scale by power of 2 */
x = ldexp( x, n );
return(x);
}
int compute_ewa(size_t chan_count, int maximum_weight_mode,
size_t swath_cols, size_t swath_rows, size_t grid_cols, size_t grid_rows, CR_TYPE *uimg, CR_TYPE *vimg,
IMAGE_TYPE **images, IMAGE_TYPE img_fill, accum_type **grid_accums, weight_type **grid_weights, ewa_weight *ewaw, ewa_parameters *ewap) {
// This was originally copied from a cython C file for 32-bit float inputs (that explains some of the weird parens and other syntax
int got_point;
unsigned int row;
unsigned int col;
ewa_parameters *this_ewap;
int iu1;
int iu2;
int iv1;
int iv2;
int iu;
int iv;
CR_TYPE u0;
CR_TYPE v0;
weight_type ddq;
weight_type dq;
weight_type q;
weight_type u;
weight_type v;
weight_type a2up1;
weight_type au2;
weight_type bu;
weight_type weight;
// Test: This is how the original fornav did its calculations
// double u0;
// double v0;
// double ddq;
// double dq;
// double q;
// double u;
// double v;
// double a2up1;
// double au2;
// double bu;
// double weight;
// double qfactor;
int iw;
IMAGE_TYPE this_val;
unsigned int swath_offset;
unsigned int grid_offset;
size_t chan;
got_point = 0;
for (row = 0, swath_offset=0; row < swath_rows; row+=1) {
for (col = 0, this_ewap = ewap; col < swath_cols; col++, this_ewap++, swath_offset++) {
u0 = uimg[swath_offset];
v0 = vimg[swath_offset];
if (u0 < 0.0 || v0 < 0.0 || __isnan(u0) || npy_isnan(v0)) {
continue;
}
iu1 = ((int)(u0 - this_ewap->u_del));
iu2 = ((int)(u0 + this_ewap->u_del));
iv1 = ((int)(v0 - this_ewap->v_del));
iv2 = ((int)(v0 + this_ewap->v_del));
if (iu1 < 0) {
iu1 = 0;
}
if (iu2 >= grid_cols) {
iu2 = (grid_cols - 1);
}
if (iv1 < 0) {
iv1 = 0;
}
if (iv2 >= grid_rows) {
iv2 = (grid_rows - 1);
}
if (iu1 < grid_cols && iu2 >= 0 && iv1 < grid_rows && iv2 >= 0) {
got_point = 1;
ddq = 2.0 * this_ewap->a;
u = (iu1 - u0);
a2up1 = (this_ewap->a * ((2.0 * u) + 1.0));
bu = this_ewap->b * u;
au2 = this_ewap->a * u * u;
for (iv = iv1; iv <= iv2; iv++) {
v = (iv - v0);
dq = (a2up1 + (this_ewap->b * v));
q = ((((this_ewap->c * v) + bu) * v) + au2);
for (iu = iu1; iu <= iu2; iu++) {
if ((q >= 0.0) && (q < this_ewap->f)) {
iw = ((int)(q * ewaw->qfactor));
if (iw >= ewaw->count) {
iw = (ewaw->count - 1);
}
weight = (ewaw->wtab[iw]);
grid_offset = ((iv * grid_cols) + iu);
for (chan = 0; chan < chan_count; chan+=1) {
this_val = ((images[chan])[swath_offset]);
if (maximum_weight_mode) {
if (weight > grid_weights[chan][grid_offset]) {
((grid_weights[chan])[grid_offset]) = weight;
if ((this_val == img_fill) || (__isnan(this_val))) {
((grid_accums[chan])[grid_offset]) = (accum_type)NPY_NANF;
} else {
((grid_accums[chan])[grid_offset]) = (accum_type)this_val;
}
}
} else {
if ((this_val != img_fill) && !(__isnan(this_val))) {
((grid_weights[chan])[grid_offset]) += weight;
((grid_accums[chan])[grid_offset]) += (accum_type)this_val * weight;
}
}
}
}
q += dq;
dq += ddq;
}
}
}
}
}
/* function exit code */
return got_point;
}
NPY_NO_EXPORT PyObject *
arr_interp(PyObject *NPY_UNUSED(self), PyObject *args, PyObject *kwdict)
{
PyObject *fp, *xp, *x;
PyObject *left = NULL, *right = NULL;
PyArrayObject *afp = NULL, *axp = NULL, *ax = NULL, *af = NULL;
npy_intp i, lenx, lenxp;
npy_double lval, rval;
const npy_double *dy, *dx, *dz;
npy_double *dres, *slopes = NULL;
static char *kwlist[] = {"x", "xp", "fp", "left", "right", NULL};
NPY_BEGIN_THREADS_DEF;
if (!PyArg_ParseTupleAndKeywords(args, kwdict, "OOO|OO", kwlist,
&x, &xp, &fp, &left, &right)) {
return NULL;
}
afp = (PyArrayObject *)PyArray_ContiguousFromAny(fp, NPY_DOUBLE, 1, 1);
if (afp == NULL) {
return NULL;
}
axp = (PyArrayObject *)PyArray_ContiguousFromAny(xp, NPY_DOUBLE, 1, 1);
if (axp == NULL) {
goto fail;
}
ax = (PyArrayObject *)PyArray_ContiguousFromAny(x, NPY_DOUBLE, 1, 0);
if (ax == NULL) {
goto fail;
}
lenxp = PyArray_SIZE(axp);
if (lenxp == 0) {
PyErr_SetString(PyExc_ValueError,
"array of sample points is empty");
goto fail;
}
if (PyArray_SIZE(afp) != lenxp) {
PyErr_SetString(PyExc_ValueError,
"fp and xp are not of the same length.");
goto fail;
}
af = (PyArrayObject *)PyArray_SimpleNew(PyArray_NDIM(ax),
PyArray_DIMS(ax), NPY_DOUBLE);
if (af == NULL) {
goto fail;
}
lenx = PyArray_SIZE(ax);
dy = (const npy_double *)PyArray_DATA(afp);
dx = (const npy_double *)PyArray_DATA(axp);
dz = (const npy_double *)PyArray_DATA(ax);
dres = (npy_double *)PyArray_DATA(af);
/* Get left and right fill values. */
if ((left == NULL) || (left == Py_None)) {
lval = dy[0];
}
else {
lval = PyFloat_AsDouble(left);
if ((lval == -1) && PyErr_Occurred()) {
goto fail;
}
}
if ((right == NULL) || (right == Py_None)) {
rval = dy[lenxp - 1];
}
else {
rval = PyFloat_AsDouble(right);
if ((rval == -1) && PyErr_Occurred()) {
goto fail;
}
}
/* binary_search_with_guess needs at least a 3 item long array */
if (lenxp == 1) {
const npy_double xp_val = dx[0];
const npy_double fp_val = dy[0];
NPY_BEGIN_THREADS_THRESHOLDED(lenx);
for (i = 0; i < lenx; ++i) {
const npy_double x_val = dz[i];
dres[i] = (x_val < xp_val) ? lval :
((x_val > xp_val) ? rval : fp_val);
}
NPY_END_THREADS;
}
else {
npy_intp j = 0;
/* only pre-calculate slopes if there are relatively few of them. */
if (lenxp <= lenx) {
slopes = PyArray_malloc((lenxp - 1) * sizeof(npy_double));
if (slopes == NULL) {
goto fail;
}
}
NPY_BEGIN_THREADS;
if (slopes != NULL) {
for (i = 0; i < lenxp - 1; ++i) {
slopes[i] = (dy[i+1] - dy[i]) / (dx[i+1] - dx[i]);
}
}
for (i = 0; i < lenx; ++i) {
const npy_double x_val = dz[i];
if (npy_isnan(x_val)) {
dres[i] = x_val;
continue;
}
j = binary_search_with_guess(x_val, dx, lenxp, j);
if (j == -1) {
dres[i] = lval;
}
else if (j == lenxp) {
dres[i] = rval;
}
else if (j == lenxp - 1) {
dres[i] = dy[j];
}
else {
const npy_double slope = (slopes != NULL) ? slopes[j] :
(dy[j+1] - dy[j]) / (dx[j+1] - dx[j]);
dres[i] = slope*(x_val - dx[j]) + dy[j];
}
}
NPY_END_THREADS;
}
PyArray_free(slopes);
Py_DECREF(afp);
Py_DECREF(axp);
Py_DECREF(ax);
return (PyObject *)af;
fail:
Py_XDECREF(afp);
Py_XDECREF(axp);
Py_XDECREF(ax);
Py_XDECREF(af);
return NULL;
}
double npy_atan2(double y, double x)
{
npy_int32 k, m, iy, ix, hx, hy;
npy_uint32 lx,ly;
double z;
EXTRACT_WORDS(hx, lx, x);
ix = hx & 0x7fffffff;
EXTRACT_WORDS(hy, ly, y);
iy = hy & 0x7fffffff;
/* if x or y is nan, return nan */
if (npy_isnan(x * y)) {
return x + y;
}
if (x == 1.0) {
return npy_atan(y);
}
m = 2 * npy_signbit(x) + npy_signbit(y);
if (y == 0.0) {
switch(m) {
case 0:
case 1: return y; /* atan(+-0,+anything)=+-0 */
case 2: return NPY_PI;/* atan(+0,-anything) = pi */
case 3: return -NPY_PI;/* atan(-0,-anything) =-pi */
}
}
if (x == 0.0) {
return y > 0 ? NPY_PI_2 : -NPY_PI_2;
}
if (npy_isinf(x)) {
if (npy_isinf(y)) {
switch(m) {
case 0: return NPY_PI_4;/* atan(+INF,+INF) */
case 1: return -NPY_PI_4;/* atan(-INF,+INF) */
case 2: return 3.0*NPY_PI_4;/*atan(+INF,-INF)*/
case 3: return -3.0*NPY_PI_4;/*atan(-INF,-INF)*/
}
} else {
switch(m) {
case 0: return NPY_PZERO; /* atan(+...,+INF) */
case 1: return NPY_NZERO; /* atan(-...,+INF) */
case 2: return NPY_PI; /* atan(+...,-INF) */
case 3: return -NPY_PI; /* atan(-...,-INF) */
}
}
}
if (npy_isinf(y)) {
return y > 0 ? NPY_PI_2 : -NPY_PI_2;
}
/* compute y/x */
k = (iy - ix) >> 20;
if (k > 60) { /* |y/x| > 2**60 */
z = NPY_PI_2 + 0.5 * NPY_DBL_EPSILON;
m &= 1;
} else if (hx < 0 && k < -60) {
z = 0.0; /* 0 > |y|/x > -2**-60 */
} else {
z = npy_atan(npy_fabs(y/x)); /* safe to do y/x */
}
switch (m) {
case 0: return z ; /* atan(+,+) */
case 1: return -z ; /* atan(-,+) */
case 2: return NPY_PI - (z - NPY_DBL_EPSILON);/* atan(+,-) */
default: /* case 3 */
return (z - NPY_DBL_EPSILON) - NPY_PI;/* atan(-,-) */
}
}
template<typename IMAGE_TYPE> int __isnan(IMAGE_TYPE x) {
// Return numpy's isnan for normal float arguments (see __isnan below for ints)
return npy_isnan(x);
}
