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