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/*********************************************************************
* Copyright 2018, UCAR/Unidata
* See netcdf/COPYRIGHT file for copying and redistribution conditions.
* $Id: vputgetg.c,v 1.13 2006/10/31 16:19:40 ed Exp $
*********************************************************************/
#include <config.h>
#include <stdio.h>
#include <stdlib.h> /* for free() */
#include "netcdf.h"
#include "testcdf.h" /* defines in-memory test cdf structure */
#include "add.h" /* functions to update in-memory netcdf */
#include "val.h"
#include "error.h"
#include "tests.h"
#include "emalloc.h"
#undef max
#define max(A, B) ((A) > (B) ? (A) : (B))
/*
* For every variable in open netcdf, puts and gets three hypercubes
* of data of the appropriate type, comparing values from get to
* values put to check that both ncvarputg and ncvargetg worked. The
* three hypercubes are
* - a large hypercube from (0, 0, ...) to the far corner (diagonally
* opposite (0, 0, ...), trivial strides and index mapping vector;
* - a size 1 hypercube from the far corner with edge lengths of 1
* in every direction, trivial strides and index mapping vector; and
* - a hypercube starting about 1/3 of the way along the diagonal
* from (0,0,...) extending 1/3 of the way in every direction
* toward the far corner, dimension-dependent strides and inverted
* index mapping vector rooted at the "upper-left" corned.
*/
int
test_varputgetg(cdfid)
int cdfid; /* handle of netcdf open and in data mode */
{
int nerrs = 0;
static char pname[] = "test_varputgetg";
int id = 0, ie = 0, iv = 0; /* loop indices */
int ne = 3; /* number of test hypercubes for each var */
struct cdfhc { /* a hypercube with generic values */
long cor[MAX_NC_DIMS]; /* netcdf coordinates for lower corner */
long npts[MAX_NC_DIMS]; /* netcdf edge lengths to upper corner */
long strd[MAX_NC_DIMS]; /* external strides */
long imap[MAX_NC_DIMS]; /* internal, index mapping vector */
long offset; /* offset in bytes to I/O start corner */
void *vals; /* pointer to block of values */
} hc[3], tmp; /* test hypercubes */
long nel[3]; /* number of elements in hypercube */
for (iv = 0; iv < test.nvars; iv++) { /* for each var in netcdf */
for (ie = 0; ie < ne; ie++)
nel[ie] = 1; /* to compute space for hypercube values */
/*
* The following macro returns the size of a dimension for a
* variable with a maximum dimension size of 5 for the record
* dimension.
*/
# define EXTNPTS(varid, idim) \
(test.dims[test.vars[varid].dims[id]].size == NC_UNLIMITED \
? 5 \
: test.dims[test.vars[varid].dims[id]].size)
# define STRIDE(idim) (idim + 2)
# define INTNPTS(extnpts, idim) (1 + (extnpts - 1) / STRIDE(idim))
for (id = test.vars[iv].ndims-1; id >= 0; --id) { /* set cubes */
/* start at "lower-left" corner, do whole variable. unity
* strides and trivial index mapping */
hc[0].cor[id] = 0;
hc[0].npts[id] = EXTNPTS(iv, id);
hc[0].strd[id] = 1;
hc[0].imap[id] = id == test.vars[iv].ndims-1
? nctypelen(test.vars[iv].type)
: hc[0].imap[id+1] * hc[0].npts[id+1];
nel[0] *= hc[0].npts[id];
if (id <= 0)
hc[0].offset = 0;
/* start at "upper-right" corner, do one point */
hc[1].cor[id] = EXTNPTS(iv, id) - 1;
hc[1].npts[id] = 1;
hc[1].strd[id] = 1;
hc[1].imap[id] = id == test.vars[iv].ndims-1
? nctypelen(test.vars[iv].type)
: hc[1].imap[id+1] * hc[1].npts[id+1];
nel[1] *= hc[1].npts[id];
if (id == 0)
hc[1].offset = 0;
/* start about 1/3 way along diagonal, do 1/3 in each direction.
* dimension-dependent strides; inverted index mapping starting
* from "upper-right" corner. */
hc[2].cor[id] = EXTNPTS(iv, id)/3;
hc[2].npts[id] = INTNPTS(max(EXTNPTS(iv, id)/3, 1), id);
hc[2].strd[id] = STRIDE(id);
hc[2].imap[id] = id == test.vars[iv].ndims-1
? -nctypelen(test.vars[iv].type)
: hc[2].imap[id+1] * hc[2].npts[id+1];
nel[2] *= hc[2].npts[id];
if (id == 0)
hc[2].offset = (nel[2]-1)*nctypelen(test.vars[iv].type);
}
for (ie = 0; ie < ne; ie++) { /* for each test */
int nelms = (int)nel[ie]*nctypelen(test.vars[iv].type) + 8;
/* allocate space for the cube of values */
hc[ie].vals = emalloc(nelms);
tmp.vals = emalloc(nelms);
/* fill allocated space with different values of right type */
val_fill(test.vars[iv].type, nel[ie], hc[ie].vals);
if(ncvarputg (cdfid, iv, hc[ie].cor, hc[ie].npts,
hc[ie].strd, hc[ie].imap,
(char*)hc[ie].vals+hc[ie].offset)
== -1) {
error("%s: ncvarputg failed for point %d, variable %s",
pname, ie, test.vars[iv].name);
nerrs++;
errvar(&test, &test.vars[iv]);
(void)fprintf(stderr," corner = (");
for (id = 0 ; id < test.vars[iv].ndims; id++)
(void)fprintf(stderr,"%ld%s",(long)hc[ie].cor[id],
(id < test.vars[iv].ndims-1) ? ", " : "");
(void)fprintf(stderr,")\n");
(void)fprintf(stderr," npts = (");
for (id = 0 ; id < test.vars[iv].ndims; id++)
(void)fprintf(stderr,"%ld%s",(long)hc[ie].npts[id],
(id < test.vars[iv].ndims-1) ? ", " : "");
(void)fprintf(stderr,")\n");
(void)fprintf(stderr," external strides = (");
for (id = 0 ; id < test.vars[iv].ndims; id++)
(void)fprintf(stderr,"%ld%s",(long)hc[ie].strd[id],
(id < test.vars[iv].ndims-1) ? ", " : "");
(void)fprintf(stderr,")\n");
(void)fprintf(stderr," internal index mapping vector = (");
for (id = 0 ; id < test.vars[iv].ndims; id++)
(void)fprintf(stderr,"%ld%s",(long)hc[ie].imap[id],
(id < test.vars[iv].ndims-1) ? ", " : "");
(void)fprintf(stderr,")\n");
} else {
long dsize[MAX_NC_DIMS];
for (id = 0; id < test.vars[iv].ndims; id++)
dsize[id] = EXTNPTS(iv, id);
add_data(&test, iv, hc[ie].cor, dsize);
/* keep test in sync */
if(ncvargetg (cdfid, iv, hc[ie].cor, hc[ie].npts,
hc[ie].strd, hc[ie].imap,
(char*)tmp.vals+hc[ie].offset)
== -1) {
error("%s: ncvargetg failed for point %d, variable %s",
pname, ie, test.vars[iv].name);
nerrs++;
}
else {
if (val_cmp(test.vars[iv].type, nel[ie],
hc[ie].vals, tmp.vals) != 0) {
error("%s: bad values returned from ncvargetg",
pname);
nerrs++;
errvar(&test, &test.vars[iv]); /* describe var */
}
}
}
free (hc[ie].vals);
free (tmp.vals);
}
}
return nerrs;
}
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