mirror of
https://github.com/Unidata/netcdf-c.git
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755 lines
19 KiB
C
755 lines
19 KiB
C
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
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* Copyright by the Board of Trustees of the University of Illinois. *
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* All rights reserved. *
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* *
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* This file is part of HDF5. The full HDF5 copyright notice, including *
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* terms governing use, modification, and redistribution, is contained in *
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* the files COPYING and Copyright.html. COPYING can be found at the root *
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* of the source code distribution tree; Copyright.html can be found at the *
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* root level of an installed copy of the electronic HDF5 document set and *
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* is linked from the top-level documents page. It can also be found at *
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* http://hdf.ncsa.uiuc.edu/HDF5/doc/Copyright.html. If you do not have *
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* access to either file, you may request a copy from hdfhelp@ncsa.uiuc.edu. *
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* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
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/*
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* Main driver of the Parallel NetCDF4 tests
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*
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*/
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#include <nc_tests.h>
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#define FILE_NAME "tst_parallel3.nc"
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/*2,3,4 dimensional test, the first dimension is unlimited, time.
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*/
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#define NDIMS1 2
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#define NDIMS2 4
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#define DIMSIZE /*4 */ 768*2
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#define DIMSIZE2 4
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#define DIMSIZE3 4
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#define TIMELEN 1
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/*BIGFILE, >2G, >4G, >8G file
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big file is created but no actually data is written
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Dimensional size is defined inside the function
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*/
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#define ATTRNAME1 "valid_range"
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#define ATTRNAME2 "scale_factor"
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#define ATTRNAME3 "title"
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/* The number of processors should be a good number for the
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dimension to be divided evenly, the best set of number of processor
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should be 2 power n. However, for NetCDF4 tests, the following numbers
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are generally treated as good numbers:
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1,2,3,4,6,8,12,16,24,32,48,64,96,128,192,256
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The maximum number of processor is 256.*/
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int test_pio(int);
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int test_pio_attr(int);
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int test_pio_big(int);
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int test_pio_hyper(int);
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char* getenv_all(MPI_Comm comm, int root, const char* name);
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int facc_type;
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int facc_type_open;
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char file_name[NC_MAX_NAME + 1];
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int main(int argc, char **argv)
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{
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int mpi_size, mpi_rank; /* mpi variables */
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int i;
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int NUMP[16] ={1,2,3,4,6,8,12,16,24,32,48,64,96,128,192,256};
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int size_flag = 0;
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/* Un-buffer the stdout and stderr */
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setbuf(stderr, NULL);
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setbuf(stdout, NULL);
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MPI_Init(&argc, &argv);
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MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
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MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
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if (mpi_rank == 1)
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printf("\n*** Testing more advanced parallel access.\n");
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for (i = 0; i < 16; i++){
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if(mpi_size == NUMP[i])
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{
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size_flag = 1;
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break;
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}
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}
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if(!size_flag){
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printf("mpi_size is wrong\n");
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printf(" The number of processor must be chosen from\n");
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printf(" 1,2,3,4,6,8,12,16,24,32,48,64,96,128,192,256 \n");
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return -1;
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}
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if (facc_type != NC_MPIPOSIX)
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facc_type = NC_MPIIO;
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facc_type = NC_NETCDF4|NC_MPIIO;
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facc_type_open = NC_MPIIO;
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/* Create file name. */
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sprintf(file_name, "%s/%s", TEMP_LARGE, FILE_NAME);
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/* Test NetCDF4 with MPI-IO driver */
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if (mpi_rank == 1)
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printf("*** Testing parallel IO for raw-data with MPI-IO (driver)...");
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if(test_pio(NC_INDEPENDENT)!=0) ERR;
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if(test_pio(NC_COLLECTIVE)!=0) ERR;
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if (mpi_rank == 1)
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SUMMARIZE_ERR;
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if (mpi_rank == 1)
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printf("*** Testing parallel IO for meta-data with MPI-IO (driver)...");
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if(test_pio_attr(NC_INDEPENDENT)!=0) ERR;
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if(test_pio_attr(NC_COLLECTIVE)!=0) ERR;
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if (mpi_rank == 1)
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SUMMARIZE_ERR;
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if (mpi_rank == 1)
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printf("*** Testing parallel IO for different hyperslab selections with MPI-IO (driver)...");
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if(test_pio_hyper(NC_INDEPENDENT)!=0)ERR;
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if(test_pio_hyper(NC_COLLECTIVE)!=0) ERR;
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if (mpi_rank == 1)
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SUMMARIZE_ERR;
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if (mpi_rank == 1)
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printf("*** Testing parallel IO for raw-data with MPIPOSIX-IO (driver)...");
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facc_type = NC_NETCDF4|NC_MPIPOSIX;
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facc_type_open = NC_MPIPOSIX;
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if(test_pio(NC_INDEPENDENT)!=0) ERR;
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if(test_pio(NC_COLLECTIVE)!=0) ERR;
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if (mpi_rank == 1)
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SUMMARIZE_ERR;
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if (mpi_rank == 1)
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printf("*** Testing parallel IO for meta-data with MPIPOSIX-IO (driver)...");
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if(test_pio_attr(NC_INDEPENDENT)!=0) ERR;
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if(test_pio_attr(NC_COLLECTIVE)!=0) ERR;
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if (mpi_rank == 1)
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SUMMARIZE_ERR;
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if (mpi_rank == 1)
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printf("*** Testing parallel IO for different hyperslab selections "
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"with MPIPOSIX-IO (driver)...");
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if(test_pio_hyper(NC_INDEPENDENT)!=0)ERR;
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if(test_pio_hyper(NC_COLLECTIVE)!=0) ERR;
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if (mpi_rank == 1)
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SUMMARIZE_ERR;
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/* if(!getenv_all(MPI_COMM_WORLD,0,"NETCDF4_NOCLEANUP")) */
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remove(file_name);
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MPI_Finalize();
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if (mpi_rank == 1)
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FINAL_RESULTS;
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return 0;
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}
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/* Both read and write will be tested */
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int test_pio(int flag)
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{
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/* MPI stuff. */
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int mpi_size, mpi_rank;
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MPI_Comm comm = MPI_COMM_WORLD;
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MPI_Info info = MPI_INFO_NULL;
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/* Netcdf-4 stuff. */
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int ncid;
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int nvid,uvid;
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int rvid;
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unsigned m,k,j,i;
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/* two dimensional integer data test */
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int dimids[NDIMS1];
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size_t start[NDIMS1];
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size_t count[NDIMS1];
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int *data;
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int *tempdata;
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int *rdata;
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int *temprdata;
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/* four dimensional integer data test,
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time dimension is unlimited.*/
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int dimuids[NDIMS2];
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size_t ustart[NDIMS2];
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size_t ucount[NDIMS2];
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int *udata;
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int *tempudata;
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int *rudata;
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int *temprudata;
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/* Initialize MPI. */
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MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
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MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
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/* Create a parallel netcdf-4 file. */
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if (nc_create_par(file_name, facc_type, comm, info, &ncid)) ERR;
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/* The first case is two dimensional variables, no unlimited dimension */
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/* Create two dimensions. */
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if (nc_def_dim(ncid, "d1", DIMSIZE2, dimids)) ERR;
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if (nc_def_dim(ncid, "d2", DIMSIZE, &dimids[1])) ERR;
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/* Create one var. */
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if (nc_def_var(ncid, "v1", NC_INT, NDIMS1, dimids, &nvid)) ERR;
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if (nc_enddef(ncid)) ERR;
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/* Set up slab for this process. */
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start[0] = 0;
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start[1] = mpi_rank * DIMSIZE/mpi_size;
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count[0] = DIMSIZE2;
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count[1] = DIMSIZE/mpi_size;
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/* start parallel netcdf4 */
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if (nc_var_par_access(ncid, nvid, flag)) ERR;
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if (!(data = malloc(sizeof(int)*count[1]*count[0]))) ERR;
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tempdata = data;
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for (j = 0; j < count[0]; j++){
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for (i = 0; i < count[1]; i++)
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{
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*tempdata = mpi_rank * (j + 1);
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tempdata++;
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}
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}
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/* Write two dimensional integer data */
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if (nc_put_vara_int(ncid, nvid, start, count, data)) ERR;
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free(data);
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/* Case 2: create four dimensional integer data,
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one dimension is unlimited. */
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/* Create four dimensions. */
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if (nc_def_dim(ncid, "ud1", NC_UNLIMITED, dimuids)) ERR;
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if (nc_def_dim(ncid, "ud2", DIMSIZE3, &dimuids[1])) ERR;
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if (nc_def_dim(ncid, "ud3", DIMSIZE2, &dimuids[2])) ERR;
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if (nc_def_dim(ncid, "ud4", DIMSIZE, &dimuids[3])) ERR;
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/* Create one var. */
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if (nc_def_var(ncid, "uv1", NC_INT, NDIMS2, dimuids, &uvid)) ERR;
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if (nc_enddef(ncid)) ERR;
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/* Set up selection parameters */
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ustart[0] = 0;
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ustart[1] = 0;
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ustart[2] = 0;
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ustart[3] = DIMSIZE*mpi_rank/mpi_size;
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ucount[0] = TIMELEN;
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ucount[1] = DIMSIZE3;
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ucount[2] = DIMSIZE2;
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ucount[3] = DIMSIZE/mpi_size;
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/* Access parallel */
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if (nc_var_par_access(ncid, uvid, flag)) ERR;
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/* Create phony data. */
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if (!(udata = malloc(ucount[0]*ucount[1]*ucount[2]*ucount[3]*sizeof(int)))) ERR;
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tempudata = udata;
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for( m=0; m<ucount[0];m++)
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for( k=0; k<ucount[1];k++)
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for (j=0; j<ucount[2];j++)
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for (i=0; i<ucount[3]; i++)
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{
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*tempudata = (1+mpi_rank)*2*(j+1)*(k+1)*(m+1);
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tempudata++;
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}
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/* Write slabs of phoney data. */
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if (nc_put_vara_int(ncid, uvid, ustart, ucount, udata)) ERR;
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free(udata);
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/* Close the netcdf file. */
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if (nc_close(ncid)) ERR;
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if (nc_open_par(file_name, facc_type_open, comm, info, &ncid)) ERR;
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/* Case 1: read two-dimensional variables, no unlimited dimension */
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/* Set up slab for this process. */
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start[0] = 0;
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start[1] = mpi_rank * DIMSIZE/mpi_size;
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count[0] = DIMSIZE2;
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count[1] = DIMSIZE/mpi_size;
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if (nc_inq_varid(ncid, "v1", &rvid)) ERR;
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if (nc_var_par_access(ncid, rvid, flag)) ERR;
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if (!(rdata = malloc(sizeof(int)*count[1]*count[0]))) ERR;
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if (nc_get_vara_int(ncid, rvid, start, count, rdata)) ERR;
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temprdata = rdata;
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for (j=0; j<count[0];j++){
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for (i=0; i<count[1]; i++){
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if(*temprdata != mpi_rank*(j+1))
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{
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ERR_RET;
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break;
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}
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temprdata++;
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}
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}
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free(rdata);
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/* Case 2: read four dimensional data, one dimension is unlimited. */
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/* set up selection parameters */
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ustart[0] = 0;
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ustart[1] = 0;
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ustart[2] = 0;
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ustart[3] = DIMSIZE*mpi_rank/mpi_size;
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ucount[0] = TIMELEN;
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ucount[1] = DIMSIZE3;
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ucount[2] = DIMSIZE2;
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ucount[3] = DIMSIZE/mpi_size;
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/* Inquiry the data */
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if (nc_inq_varid(ncid, "uv1", &rvid)) ERR;
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/* Access the parallel */
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if (nc_var_par_access(ncid, rvid, flag)) ERR;
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if (!(rudata = malloc(ucount[0]*ucount[1]*ucount[2]*ucount[3]*sizeof(int)))) ERR;
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temprudata = rudata;
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/* Read data */
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if (nc_get_vara_int(ncid, rvid, ustart, ucount, rudata)) ERR;
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for(m = 0; m < ucount[0]; m++)
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for(k = 0; k < ucount[1]; k++)
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for(j = 0; j < ucount[2]; j++)
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for(i = 0; i < ucount[3]; i++)
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{
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if(*temprudata != (1+mpi_rank)*2*(j+1)*(k+1)*(m+1))
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ERR_RET;
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temprudata++;
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}
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free(rudata);
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/* Close the netcdf file. */
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if (nc_close(ncid)) ERR;
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return 0;
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}
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/* Attributes: both read and write will be tested for parallel NetCDF*/
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int test_pio_attr(int flag)
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{
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/* MPI stuff. */
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int mpi_size, mpi_rank;
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MPI_Comm comm = MPI_COMM_WORLD;
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MPI_Info info = MPI_INFO_NULL;
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/* Netcdf-4 stuff. */
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int ncid;
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int nvid;
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int j, i;
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double rh_range[2];
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static char title[] = "parallel attr to netCDF";
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nc_type st_type,vr_type;
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size_t vr_len,st_len;
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size_t orivr_len;
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double *vr_val;
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char *st_val;
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/* two dimensional integer data*/
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int dimids[NDIMS1];
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size_t start[NDIMS1];
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size_t count[NDIMS1];
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int *data;
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int *tempdata;
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/* Initialize MPI. */
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MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
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MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
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/* Create a parallel netcdf-4 file. */
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/* nc_set_log_level(NC_TURN_OFF_LOGGING); */
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/* nc_set_log_level(3);*/
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if (nc_create_par(file_name, facc_type, comm, info, &ncid)) ERR;
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/* Create a 2-D variable so that an attribute can be added. */
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if (nc_def_dim(ncid, "d1", DIMSIZE2, dimids)) ERR;
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if (nc_def_dim(ncid, "d2", DIMSIZE, &dimids[1])) ERR;
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/* Create one var. */
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if (nc_def_var(ncid, "v1", NC_INT, NDIMS1, dimids, &nvid)) ERR;
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orivr_len = 2;
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rh_range[0] = 1.0;
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rh_range[1] = 1000.0;
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/* Write attributes of a variable */
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if (nc_put_att_double (ncid, nvid, "valid_range", NC_DOUBLE,
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orivr_len, rh_range)) ERR;
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if (nc_put_att_text (ncid, nvid, "title", strlen(title),
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title)) ERR;
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/* Write global attributes */
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if (nc_put_att_double (ncid, NC_GLOBAL, "g_valid_range", NC_DOUBLE,
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orivr_len, rh_range)) ERR;
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if (nc_put_att_text (ncid, NC_GLOBAL, "g_title", strlen(title), title)) ERR;
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if (nc_enddef(ncid)) ERR;
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/* Set up slab for this process. */
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start[0] = 0;
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start[1] = mpi_rank * DIMSIZE/mpi_size;
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count[0] = DIMSIZE2;
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count[1] = DIMSIZE/mpi_size;
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/* Access parallel */
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if (nc_var_par_access(ncid, nvid, flag)) ERR;
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/* Allocating data */
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data = malloc(sizeof(int)*count[1]*count[0]);
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tempdata = data;
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for(j = 0; j < count[0]; j++)
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for (i = 0; i < count[1]; i++)
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{
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*tempdata = mpi_rank * (j + 1);
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tempdata++;
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}
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if (nc_put_vara_int(ncid, nvid, start, count, data)) ERR;
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free(data);
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/* Close the netcdf file. */
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if (nc_close(ncid)) ERR;
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/* Read attributes */
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if (nc_open_par(file_name, facc_type_open, comm, info, &ncid)) ERR;
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/* Set up slab for this process. */
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start[0] = 0;
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start[1] = mpi_rank * DIMSIZE/mpi_size;
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count[0] = DIMSIZE2;
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count[1] = DIMSIZE/mpi_size;
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/* Inquiry variable */
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if (nc_inq_varid(ncid, "v1", &nvid)) ERR;
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/* Access parallel */
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if (nc_var_par_access(ncid, nvid, flag)) ERR;
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/* Inquiry attribute */
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if (nc_inq_att (ncid, nvid, "valid_range", &vr_type, &vr_len)) ERR;
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/* check stuff */
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if(vr_type != NC_DOUBLE || vr_len != orivr_len) ERR;
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vr_val = (double *) malloc(vr_len * sizeof(double));
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/* Get variable attribute values */
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if (nc_get_att_double(ncid, nvid, "valid_range", vr_val)) ERR;
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/* Check variable attribute value */
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for(i = 0; i < vr_len; i++)
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if (vr_val[i] != rh_range[i])
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ERR_RET;
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free(vr_val);
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/* Inquiry global attribute */
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if (nc_inq_att (ncid, NC_GLOBAL, "g_valid_range", &vr_type, &vr_len)) ERR;
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/* Check stuff. */
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if(vr_type != NC_DOUBLE || vr_len != orivr_len) ERR;
|
|
|
|
/* Obtain global attribute value */
|
|
vr_val = (double *) malloc(vr_len * sizeof(double));
|
|
if (nc_get_att_double(ncid, NC_GLOBAL, "g_valid_range", vr_val)) ERR;
|
|
|
|
/* Check global attribute value */
|
|
for(i = 0; i < vr_len; i++)
|
|
if (vr_val[i] != rh_range[i]) ERR_RET;
|
|
free(vr_val);
|
|
|
|
/* Inquiry string attribute of a variable */
|
|
if (nc_inq_att (ncid, nvid, "title", &st_type, &st_len)) ERR;
|
|
|
|
/* check string attribute length */
|
|
if(st_len != strlen(title)) ERR_RET;
|
|
|
|
/* Check string attribute type */
|
|
if(st_type != NC_CHAR) ERR_RET;
|
|
|
|
/* Allocate meory for string attribute */
|
|
st_val = (char *) malloc(st_len * (sizeof(char)));
|
|
|
|
/* Obtain variable string attribute value */
|
|
if (nc_get_att_text(ncid, nvid,"title", st_val)) ERR;
|
|
|
|
/*check string value */
|
|
if(strncmp(st_val,title,st_len)) {
|
|
free(st_val);
|
|
ERR_RET;
|
|
}
|
|
free(st_val);
|
|
|
|
/*Inquiry global attribute */
|
|
if (nc_inq_att (ncid, NC_GLOBAL, "g_title", &st_type, &st_len)) ERR;
|
|
|
|
/* check attribute length*/
|
|
if(st_len != strlen(title)) ERR_RET;
|
|
|
|
/*check attribute type*/
|
|
if(st_type != NC_CHAR) ERR_RET;
|
|
|
|
/* obtain global string attribute value */
|
|
st_val = (char*)malloc(st_len*sizeof(char));
|
|
if (nc_get_att_text(ncid, NC_GLOBAL,"g_title", st_val)) ERR;
|
|
|
|
/* check attribute value */
|
|
if(strncmp(st_val,title,st_len)){
|
|
free(st_val);
|
|
ERR_RET;
|
|
}
|
|
free(st_val);
|
|
|
|
/* Close the netcdf file. */
|
|
if (nc_close(ncid)) ERR;
|
|
|
|
return 0;
|
|
}
|
|
|
|
/* test different hyperslab settings */
|
|
int test_pio_hyper(int flag){
|
|
|
|
/* MPI stuff. */
|
|
int mpi_size, mpi_rank;
|
|
int res = NC_NOERR;
|
|
MPI_Comm comm = MPI_COMM_WORLD;
|
|
MPI_Info info = MPI_INFO_NULL;
|
|
|
|
/* Netcdf-4 stuff. */
|
|
int ncid;
|
|
int nvid;
|
|
int rvid;
|
|
int j, i;
|
|
|
|
/* two dimensional integer data test */
|
|
int dimids[NDIMS1];
|
|
size_t start[NDIMS1], count[NDIMS1];
|
|
int *data;
|
|
int *tempdata;
|
|
int *rdata;
|
|
int *temprdata;
|
|
int count_atom;
|
|
|
|
|
|
/* Initialize MPI. */
|
|
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
|
|
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
|
|
|
|
if(mpi_size == 1) return 0;
|
|
|
|
/* Create a parallel netcdf-4 file. */
|
|
/* nc_set_log_level(NC_TURN_OFF_LOGGING); */
|
|
/* nc_set_log_level(4);*/
|
|
|
|
if (nc_create_par(file_name, facc_type, comm, info, &ncid)) ERR;
|
|
|
|
/* The case is two dimensional variables, no unlimited dimension */
|
|
|
|
/* Create two dimensions. */
|
|
if (nc_def_dim(ncid, "d1", DIMSIZE2, dimids)) ERR;
|
|
if (nc_def_dim(ncid, "d2", DIMSIZE, &dimids[1])) ERR;
|
|
|
|
/* Create one var. */
|
|
if (nc_def_var(ncid, "v1", NC_INT, NDIMS1, dimids, &nvid)) ERR;
|
|
|
|
if (nc_enddef(ncid)) ERR;
|
|
|
|
|
|
/* hyperslab illustration for 3-processor case
|
|
|
|
--------
|
|
|aaaacccc|
|
|
|aaaacccc|
|
|
|bbbb |
|
|
|bbbb |
|
|
--------
|
|
*/
|
|
|
|
/* odd number of processors should be treated differently */
|
|
if(mpi_size%2 != 0) {
|
|
|
|
count_atom = DIMSIZE*2/(mpi_size+1);
|
|
if(mpi_rank <= mpi_size/2) {
|
|
start[0] = 0;
|
|
start[1] = mpi_rank*count_atom;
|
|
count[0] = DIMSIZE2/2;
|
|
count[1] = count_atom;
|
|
}
|
|
else {
|
|
start[0] = DIMSIZE2/2;
|
|
start[1] = (mpi_rank-mpi_size/2-1)*count_atom;
|
|
count[0] = DIMSIZE2/2;
|
|
count[1] = count_atom;
|
|
}
|
|
}
|
|
else {
|
|
|
|
count_atom = DIMSIZE*2/mpi_size;
|
|
if(mpi_rank < mpi_size/2) {
|
|
start[0] = 0;
|
|
start[1] = mpi_rank*count_atom;
|
|
count[0] = DIMSIZE2/2;
|
|
count[1] = count_atom;
|
|
}
|
|
else {
|
|
start[0] = DIMSIZE2/2;
|
|
start[1] = (mpi_rank-mpi_size/2)*count_atom;
|
|
count[0] = DIMSIZE2/2;
|
|
count[1] = count_atom;
|
|
}
|
|
}
|
|
|
|
if (nc_var_par_access(ncid, nvid, flag)) ERR;
|
|
data = malloc(sizeof(int)*count[1]*count[0]);
|
|
tempdata = data;
|
|
for (j=0; j<count[0];j++){
|
|
for (i=0; i<count[1]; i++){
|
|
*tempdata = mpi_rank*(j+1);
|
|
tempdata ++;
|
|
}
|
|
}
|
|
|
|
|
|
if (nc_put_vara_int(ncid, nvid, start, count, data)) ERR;
|
|
free(data);
|
|
|
|
/* Close the netcdf file. */
|
|
if (nc_close(ncid)) ERR;
|
|
|
|
if (nc_open_par(file_name, facc_type_open, comm, info, &ncid)) ERR;
|
|
|
|
/* Inquiry the variable */
|
|
if (nc_inq_varid(ncid, "v1", &rvid)) ERR;
|
|
|
|
if (nc_var_par_access(ncid, rvid, flag)) ERR;
|
|
|
|
rdata = malloc(sizeof(int)*count[1]*count[0]);
|
|
/* Read the data with the same slab settings */
|
|
if (nc_get_vara_int(ncid, rvid, start, count, rdata)) ERR;
|
|
|
|
temprdata = rdata;
|
|
for (j=0; j<count[0];j++){
|
|
for (i=0; i<count[1]; i++){
|
|
if(*temprdata != mpi_rank*(j+1))
|
|
{
|
|
res = -1;
|
|
break;
|
|
}
|
|
temprdata++;
|
|
}
|
|
}
|
|
|
|
free(rdata);
|
|
if(res == -1) ERR_RET;
|
|
|
|
/* Close the netcdf file. */
|
|
if (nc_close(ncid)) ERR;
|
|
|
|
return 0;
|
|
}
|
|
|
|
/*-------------------------------------------------------------------------
|
|
* Function: getenv_all
|
|
*
|
|
* Purpose: Used to get the environment that the root MPI task has.
|
|
* name specifies which environment variable to look for
|
|
* val is the string to which the value of that environment
|
|
* variable will be copied.
|
|
*
|
|
* NOTE: The pointer returned by this function is only
|
|
* valid until the next call to getenv_all and the data
|
|
* stored there must be copied somewhere else before any
|
|
* further calls to getenv_all take place.
|
|
*
|
|
* Return: pointer to a string containing the value of the environment variable
|
|
* NULL if the varialbe doesn't exist in task 'root's environment.
|
|
*
|
|
* Programmer: Leon Arber
|
|
* 4/4/05
|
|
*
|
|
* Modifications:
|
|
*
|
|
*-------------------------------------------------------------------------
|
|
*/
|
|
|
|
char* getenv_all(MPI_Comm comm, int root, const char* name)
|
|
{
|
|
int nID;
|
|
int len = -1;
|
|
static char* env = NULL;
|
|
|
|
assert(name);
|
|
|
|
MPI_Comm_rank(comm, &nID);
|
|
|
|
/* The root task does the getenv call
|
|
* and sends the result to the other tasks */
|
|
if(nID == root)
|
|
{
|
|
env = getenv(name);
|
|
if(env)
|
|
{
|
|
len = strlen(env);
|
|
MPI_Bcast(&len, 1, MPI_INT, root, comm);
|
|
MPI_Bcast(env, len, MPI_CHAR, root, comm);
|
|
}
|
|
/* len -1 indicates that the variable was not in the environment */
|
|
else
|
|
MPI_Bcast(&len, 1, MPI_INT, root, comm);
|
|
}
|
|
else
|
|
{
|
|
MPI_Bcast(&len, 1, MPI_INT, root, comm);
|
|
if(len >= 0)
|
|
{
|
|
if(env == NULL)
|
|
env = (char*) malloc(len+1);
|
|
else if(strlen(env) < len)
|
|
env = (char*) realloc(env, len+1);
|
|
|
|
MPI_Bcast(env, len, MPI_CHAR, root, comm);
|
|
env[len] = '\0';
|
|
}
|
|
else
|
|
{
|
|
if(env)
|
|
free(env);
|
|
env = NULL;
|
|
}
|
|
}
|
|
|
|
MPI_Barrier(comm);
|
|
|
|
return env;
|
|
}
|
|
|
|
|