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/******************************************************************************
* Project: PROJ.4
* Purpose: Generic regression test for PROJ.4 projection algorithms.
* Author: Thomas Knudsen
*
******************************************************************************
* Copyright (c) 2016, Thomas Knudsen
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included
* in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
* OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*****************************************************************************/
#include <stdio.h>
#define PJ_LIB__
#include <projects.h>
static int deviates_xy (XY expected, XY got, double tolerance);
static int deviates_lp (LP expected, LP got, double tolerance);
static XY pj_fwd_deg (LP in, PJ *P);
/**********************************************************************/
int pj_generic_selftest (
/**********************************************************************/
char *e_args,
char *s_args,
double tolerance_xy,
double tolerance_lp,
int n_fwd,
int n_inv,
LP *fwd_in,
XY *e_fwd_expect,
XY *s_fwd_expect,
XY *inv_in,
LP *e_inv_expect,
LP *s_inv_expect
) {
/***********************************************************************
Generic regression test for PROJ.4 projection algorithms, testing both
ellipsoidal ("e_") and spheroidal ("s_") versions of the projection
algorithms in both forward ("_fwd_") and inverse ("_inv_") mode.
Compares the "known good" results in <e_fwd_expect> and <s_fwd_expect>
with the actual results obtained by transforming the forward input data
set in <fwd_in> with pj_fwd() using setup arguments <e_args> and
<s_args>, respectively.
Then
Compares the "known good" results in <e_inv_expect> and <s_inv_expect>
with the actual results obtained by transforming the inverse input data
set in <inv_in> with pj_inv() using setup arguments <e_args> and
<s_args>, respectively.
Any of the pointers passed may be set to 0, indicating "don't test this
part".
Returns 0 if all data agree to within the accuracy specified in
<tolerance_xy> and <tolerance_lp>. Non-zero otherwise.
***********************************************************************/
int i;
PJ *P;
if (e_args) {
P = pj_init_plus(e_args);
if (0==P)
return 2;
/* Test forward ellipsoidal */
if (e_fwd_expect) {
for (i = 0; i < n_fwd; i++)
if (deviates_xy (e_fwd_expect[i], pj_fwd_deg ( fwd_in[i], P ), tolerance_xy))
break;
if ( i != n_fwd )
return 100 + i;
}
/* Test inverse ellipsoidal */
if (e_inv_expect) {
for (i = 0; i < n_inv; i++)
if (deviates_lp (e_inv_expect[i], pj_inv ( inv_in[i], P ), tolerance_lp))
break;
if ( i != n_inv )
return 200 + i;
}
pj_free (P);
}
if (s_args) {
P = pj_init_plus(s_args);
if (0==P)
return 3;
/* Test forward spherical */
if (s_fwd_expect) {
for (i = 0; i < n_fwd; i++)
if (deviates_xy (s_fwd_expect[i], pj_fwd_deg ( fwd_in[i], P ), tolerance_xy))
break;
if ( i != n_fwd )
return 300 + i;
}
/* Test inverse spherical */
if (s_inv_expect) {
for (i = 0; i < n_inv; i++)
if (deviates_lp (s_inv_expect[i], pj_inv ( inv_in[i], P ), tolerance_lp))
break;
if ( i != n_inv )
return 400 + i;
}
pj_free (P);
}
return 0;
}
/**********************************************************************/
static int deviates_xy (XY expected, XY got, double tolerance) {
/***********************************************************************
Determine whether two XYs deviate by more than <tolerance>.
The test material ("expected" values) may contain coordinates that
are indeterminate. For those cases, we test the other coordinate
only by forcing expected and actual ("got") coordinates to 0.
***********************************************************************/
if (HUGE_VAL== expected.x)
return 0;
if (HUGE_VAL== expected.y)
return 0;
if (hypot ( expected.x - got.x, expected.y - got.y ) > tolerance)
return 1;
return 0;
}
/**********************************************************************/
static int deviates_lp (LP expected, LP got, double tolerance) {
/***********************************************************************
Determine whether two LPs deviate by more than <tolerance>.
This one is slightly tricky, since the <expected> LP is
supposed to be represented as degrees (since it was at some
time written down by a real human), whereas the <got> LP is
represented in radians (since it is supposed to be the result
output from pj_inv)
***********************************************************************/
if (HUGE_VAL== expected.lam)
return 0;
if (HUGE_VAL== expected.phi)
return 0;
if (hypot ( DEG_TO_RAD * expected.lam - got.lam, DEG_TO_RAD * expected.phi - got.phi ) > tolerance)
return 1;
return 0;
}
/**********************************************************************/
static XY pj_fwd_deg (LP in, PJ *P) {
/***********************************************************************
Wrapper for pj_fwd, accepting input in degrees.
***********************************************************************/
LP in_rad;
in_rad.lam = DEG_TO_RAD * in.lam;
in_rad.phi = DEG_TO_RAD * in.phi;
return pj_fwd (in_rad, P);
}
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