2010-06-03 21:24:43 +08:00
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/*
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Copyright 2009, UCAR/Unidata
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See COPYRIGHT file for copying and redistribution conditions.
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This program tests netcdf-4 performance with some AR-4 3D data.
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$Id: tst_ar4_4d.c,v 1.2 2010/01/14 20:25:55 ed Exp $
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*/
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#include <nc_tests.h>
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#include <time.h>
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#include <sys/time.h>
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#include <unistd.h>
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#define MEGABYTE 1048576
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#define HALF_MEG (MEGABYTE/2)
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#define MILLION 1000000
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#define SIXTEEN_MEG 16777216
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#define FOUR_MEG (SIXTEEN_MEG/4)
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#define THIRTY_TWO_MEG (SIXTEEN_MEG * 2)
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#define SIXTY_FOUR_MEG (SIXTEEN_MEG * 4)
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#define ONE_TWENTY_EIGHT_MEG (SIXTEEN_MEG * 8)
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/* From the data file we are using:
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../ncdump/ncdump -h -s thetao_O1.SRESA1B_2.CCSM.ocnm.2000-01_cat_2099-12.nc
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netcdf thetao_O1.SRESA1B_2.CCSM.ocnm.2000-01_cat_2099-12 {
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dimensions:
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lon = 320 ;
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lat = 395 ;
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depth = 40 ;
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bnds = 2 ;
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time = UNLIMITED ; // (1200 currently)
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variables:
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double lon_bnds(lon, bnds) ;
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double lat_bnds(lat, bnds) ;
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double depth_bnds(depth, bnds) ;
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double time_bnds(time, bnds) ;
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double lon(lon) ;
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lon:axis = "X" ;
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lon:standard_name = "longitude" ;
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lon:bounds = "lon_bnds" ;
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lon:long_name = "Longitude" ;
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lon:units = "degrees_east" ;
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double lat(lat) ;
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lat:axis = "Y" ;
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lat:standard_name = "latitude" ;
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lat:bounds = "lat_bnds" ;
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lat:long_name = "Latitude" ;
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lat:units = "degrees_north" ;
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double depth(depth) ;
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depth:axis = "Z" ;
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depth:standard_name = "depth" ;
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depth:positive = "down" ;
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depth:units = "m" ;
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depth:bounds = "depth_bnds" ;
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double time(time) ;
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time:calendar = "noleap" ;
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time:standard_name = "time" ;
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time:axis = "T" ;
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time:units = "days since 0000-1-1" ;
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time:bounds = "time_bnds" ;
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float thetao(time, depth, lat, lon) ;
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thetao:comment = "Created using NCL code CCSM_ocnm_2cf.ncl on\n",
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" machine mineral" ;
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thetao:missing_value = 1.e+20f ;
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thetao:long_name = "sea_water_potential_temperature" ;
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thetao:cell_methods = "time: mean (interval: 1 month)" ;
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thetao:history = "Interpolated to regular grid from dipole grid,\n",
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"TEMP+273.15" ;
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thetao:units = "K" ;
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thetao:original_units = "C" ;
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thetao:original_name = "TEMP" ;
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thetao:standard_name = "sea_water_potential_temperature" ;
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thetao:_FillValue = 1.e+20f ;
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// global attributes:
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:table_id = "Table O1" ;
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:title = "model output prepared for IPCC AR4" ;
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:institution = "NCAR (National Center for Atmospheric \n",
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"Research, Boulder, CO, USA)" ;
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:source = "CCSM3.0, version beta19 (2004): \n",
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"atmosphere: CAM3.0, T85L26;\n",
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"ocean : POP1.4.3 (modified), gx1v3\n",
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"sea ice : CSIM5.0, gx1v3;\n",
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"land : CLM3.0, T85" ;
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:contact = "ccsm@ucar.edu" ;
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:project_id = "IPCC Fourth Assessment" ;
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:Conventions = "CF-1.0" ;
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:references = "Collins, W.D., et al., 2005:\n",
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" The Community Climate System Model, Version 3\n",
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" Journal of Climate\n",
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" \n",
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" Main website: http://www.ccsm.ucar.edu" ;
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:acknowledgment = " Any use of CCSM data should acknowledge the contribution\n",
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" of the CCSM project and CCSM sponsor agencies with the \n",
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" following citation:\n",
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" \'This research uses data provided by the Community Climate\n",
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" System Model project (www.ccsm.ucar.edu), supported by the\n",
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" Directorate for Geosciences of the National Science Foundation\n",
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" and the Office of Biological and Environmental Research of\n",
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" the U.S. Department of Energy.\'\n",
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"In addition, the words \'Community Climate System Model\' and\n",
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" \'CCSM\' should be included as metadata for webpages referencing\n",
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" work using CCSM data or as keywords provided to journal or book\n",
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"publishers of your manuscripts.\n",
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"Users of CCSM data accept the responsibility of emailing\n",
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" citations of publications of research using CCSM data to\n",
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" ccsm@ucar.edu.\n",
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"Any redistribution of CCSM data must include this data\n",
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" acknowledgement statement." ;
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:realization = 2 ;
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:experiment_id = "720 ppm stabilization experiment (SRES A1B)" ;
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:history = "Created from CCSM3 case b30.040b\n",
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" by strandwg@ucar.edu\n",
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" on Sun Apr 24 22:35:53 MDT 2005\n",
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" \n",
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" For all data, added IPCC requested metadata" ;
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:comment = "This simulation was initiated from year 2000 of \n",
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" CCSM3 model run b30.030b and executed on \n",
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" hardware bluesky.ucar.edu. The input external forcings are\n",
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"ozone forcing : A1B.ozone.128x64_L18_1991-2100_c040528.nc\n",
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"aerosol optics : AerosolOptics_c040105.nc\n",
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"aerosol MMR : AerosolMass_V_128x256_clim_c031022.nc\n",
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"carbon scaling : carbonscaling_A1B_1990-2100_c040609.nc\n",
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"solar forcing : Fixed at 1366.5 W m-2\n",
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"GHGs : ghg_ipcc_A1B_1870-2100_c040521.nc\n",
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"GHG loss rates : noaamisc.r8.nc\n",
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"volcanic forcing : none\n",
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"DMS emissions : DMS_emissions_128x256_clim_c040122.nc\n",
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"oxidants : oxid_128x256_L26_clim_c040112.nc\n",
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"SOx emissions : SOx_emissions_A1B_128x256_L2_1990-2100_c040608.nc\n",
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" Physical constants used for derived data:\n",
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" Lv (latent heat of evaporation): 2.501e6 J kg-1\n",
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" Lf (latent heat of fusion ): 3.337e5 J kg-1\n",
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" r[h2o] (density of water ): 1000 kg m-3\n",
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" g2kg (grams to kilograms ): 1000 g kg-1\n",
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" \n",
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" Integrations were performed by NCAR and CRIEPI with support\n",
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" and facilities provided by NSF, DOE, MEXT and ESC/JAMSTEC." ;
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:_Format = "classic" ;
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}
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*/
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/* Subtract the `struct timeval' values X and Y, storing the result in
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RESULT. Return 1 if the difference is negative, otherwise 0. This
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function from the GNU documentation. */
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static int
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timeval_subtract (result, x, y)
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struct timeval *result, *x, *y;
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{
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/* Perform the carry for the later subtraction by updating Y. */
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if (x->tv_usec < y->tv_usec) {
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int nsec = (y->tv_usec - x->tv_usec) / MILLION + 1;
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y->tv_usec -= MILLION * nsec;
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y->tv_sec += nsec;
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}
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if (x->tv_usec - y->tv_usec > MILLION) {
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int nsec = (x->tv_usec - y->tv_usec) / MILLION;
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y->tv_usec += MILLION * nsec;
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y->tv_sec -= nsec;
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}
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/* Compute the time remaining to wait.
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`tv_usec' is certainly positive. */
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result->tv_sec = x->tv_sec - y->tv_sec;
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result->tv_usec = x->tv_usec - y->tv_usec;
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/* Return 1 if result is negative. */
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return x->tv_sec < y->tv_sec;
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}
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#define USAGE "\
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[-h] Print output header\n\
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[-t] Do a time-series read\n\
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[-v] Vertical profile read\n\
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[-c CACHE_SIZE] Set the HDF5 chunk cache to this size before read\n\
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file Name of netCDF file\n"
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static void
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usage(void)
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{
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fprintf(stderr, "tst_ar4 -h -t -v -c CACHE_SIZE file\n%s", USAGE);
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}
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#define NDIMS4 4
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#define DATA_VAR_NAME "thetao"
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#define NUM_CACHE_TRIES 1
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#define LON_DIMID 0
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#define LAT_DIMID 1
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#define DEPTH_DIMID 2
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#define BNDS_DIMID 3
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#define TIME_DIMID 4
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#define LON_LEN 320
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#define LAT_LEN 395
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#define BNDS_LEN 2
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#define DEPTH_LEN 40
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#define TIME_LEN 1200
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#define NUM_TS 1
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#define MAX_READ_COUNT 100
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int
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main(int argc, char **argv)
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{
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extern int optind;
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extern int opterr;
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extern char *optarg;
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int c, header = 0, vertical_profile = 0, timeseries = 0;
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int ncid, varid, storage;
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char name_in[NC_MAX_NAME + 1];
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size_t len;
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size_t cs[NDIMS4] = {0, 0, 0, 0};
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int cache = MEGABYTE;
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int ndims, dimid[NDIMS4];
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float hor_data[LAT_LEN * LON_LEN];
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float vert_data[DEPTH_LEN];
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int read_1_us, avg_read_us;
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float ts_data[TIME_LEN];
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size_t start[NDIMS4], count[NDIMS4];
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int deflate, shuffle, deflate_level;
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struct timeval start_time, end_time, diff_time;
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int read_count = 0, num_reads;
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while ((c = getopt(argc, argv, "vhtc:")) != EOF)
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switch(c)
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{
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case 'v':
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vertical_profile++;
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break;
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case 'h':
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header++;
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break;
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case 't':
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timeseries++;
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break;
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case 'c':
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sscanf(optarg, "%d", &cache);
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break;
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case '?':
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usage();
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return 1;
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}
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argc -= optind;
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argv += optind;
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2012-03-15 07:26:48 +08:00
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/* If no file arguments left, report and exit */
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2010-06-03 21:24:43 +08:00
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if (argc < 1)
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{
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2012-03-15 07:26:48 +08:00
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printf("no file specified\n");
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2010-06-03 21:24:43 +08:00
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return 0;
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}
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/* Print the header if desired. */
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if (header)
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{
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printf("cs[0]\tcs[1]\tcs[2]\tcache(MB)\tdeflate\tshuffle");
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if (timeseries)
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printf("\t1st_read_ser(us)\tavg_read_ser(us)\n");
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else if (vertical_profile)
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printf("\t1st_read_vert(us)\tavg_read_vert(us)\n");
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else
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printf("\t1st_read_hor(us)\tavg_read_hor(us)\n");
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}
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#define PREEMPTION .75
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/* Also tried NELEMS of 2500009*/
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#define NELEMS 7919
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if (nc_set_chunk_cache(cache, NELEMS, PREEMPTION)) ERR;
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if (nc_open(argv[0], 0, &ncid)) ERR;
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/* Check to make sure that all the dimension information is
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* correct. */
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if (nc_inq_varid(ncid, DATA_VAR_NAME, &varid)) ERR;
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if (nc_inq_dim(ncid, LON_DIMID, name_in, &len)) ERR;
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if (strcmp(name_in, "lon") || len != LON_LEN) ERR;
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if (nc_inq_dim(ncid, LAT_DIMID, name_in, &len)) ERR;
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if (strcmp(name_in, "lat") || len != LAT_LEN) ERR;
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if (nc_inq_dim(ncid, DEPTH_DIMID, name_in, &len)) ERR;
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if (strcmp(name_in, "depth") || len != DEPTH_LEN) ERR;
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if (nc_inq_dim(ncid, BNDS_DIMID, name_in, &len)) ERR;
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if (strcmp(name_in, "bnds") || len != BNDS_LEN) ERR;
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if (nc_inq_dim(ncid, TIME_DIMID, name_in, &len)) ERR;
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if (strcmp(name_in, "time") || len != TIME_LEN) ERR;
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if (nc_inq_var(ncid, varid, NULL, NULL, &ndims, dimid, NULL)) ERR;
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if (ndims != NDIMS4 || dimid[0] != TIME_DIMID ||
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dimid[1] != DEPTH_DIMID || dimid[2] != LAT_DIMID ||
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dimid[3] != LON_DIMID) ERR;
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/* Get info about the main data var. */
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if (nc_inq_var_chunking(ncid, varid, &storage, cs)) ERR;
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if (nc_inq_var_deflate(ncid, varid, &shuffle, &deflate,
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&deflate_level)) ERR;
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if (timeseries)
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{
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/* Read the var as a time series. */
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start[0] = 0;
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start[1] = 0;
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start[2] = 0;
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start[3] = 0;
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count[0] = TIME_LEN;
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count[1] = 1;
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count[2] = 1;
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count[3] = 1;
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/* Read the first timeseries. */
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if (gettimeofday(&start_time, NULL)) ERR;
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if (nc_get_vara_float(ncid, varid, start, count, ts_data)) ERR_RET;
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if (gettimeofday(&end_time, NULL)) ERR;
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if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
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read_1_us = (int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec;
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/* Read all the rest. */
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if (gettimeofday(&start_time, NULL)) ERR;
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for (start[1] = 0; read_count < MAX_READ_COUNT && start[1] < LAT_LEN; start[1]++)
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for (start[2] = 1; read_count < MAX_READ_COUNT && start[2] < LON_LEN; start[2]++)
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for (start[3] = 1; read_count < MAX_READ_COUNT && start[3] < DEPTH_LEN; start[3]++)
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{
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if (nc_get_vara_float(ncid, varid, start, count, ts_data)) ERR_RET;
|
|
|
|
read_count++;
|
|
|
|
}
|
|
|
|
if (gettimeofday(&end_time, NULL)) ERR;
|
|
|
|
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
|
|
|
|
num_reads = (read_count == MAX_READ_COUNT) ? MAX_READ_COUNT : (LAT_LEN * LON_LEN * DEPTH_LEN);
|
|
|
|
avg_read_us = ((int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec + read_1_us) /
|
|
|
|
num_reads;
|
|
|
|
}
|
|
|
|
else if (vertical_profile)
|
|
|
|
{
|
|
|
|
/* Read the var as a vertical profile. */
|
|
|
|
start[0] = 0;
|
|
|
|
start[1] = 0;
|
|
|
|
start[2] = 0;
|
|
|
|
start[3] = 0;
|
|
|
|
count[0] = 1;
|
|
|
|
count[1] = DEPTH_LEN;
|
|
|
|
count[2] = 1;
|
|
|
|
count[3] = 1;
|
|
|
|
|
|
|
|
/* Read the first vertical profile. */
|
|
|
|
if (gettimeofday(&start_time, NULL)) ERR;
|
|
|
|
if (nc_get_vara_float(ncid, varid, start, count, vert_data)) ERR_RET;
|
|
|
|
if (gettimeofday(&end_time, NULL)) ERR;
|
|
|
|
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
|
|
|
|
read_1_us = (int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec;
|
|
|
|
|
|
|
|
/* Read all the rest. */
|
|
|
|
if (gettimeofday(&start_time, NULL)) ERR;
|
|
|
|
/* for (start[0] = 0; read_count < MAX_READ_COUNT && start[1] < LAT_LEN; start[1]++) */
|
|
|
|
/* for (start[1] = 0; read_count < MAX_READ_COUNT && start[1] < LAT_LEN; start[1]++) */
|
|
|
|
/* for (start[2] = 1; read_count < MAX_READ_COUNT && start[2] < LON_LEN; start[2]++) */
|
|
|
|
/* for (start[] = 1; read_count < MAX_READ_COUNT && start[3] < DEPTH_LEN; start[3]++) */
|
|
|
|
/* { */
|
|
|
|
/* if (nc_get_vara_float(ncid, varid, start, count, vert_data)) ERR_RET; */
|
|
|
|
/* read_count++; */
|
|
|
|
/* } */
|
|
|
|
if (gettimeofday(&end_time, NULL)) ERR;
|
|
|
|
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
|
|
|
|
num_reads = (read_count == MAX_READ_COUNT) ? MAX_READ_COUNT : (LAT_LEN * LON_LEN * DEPTH_LEN);
|
|
|
|
avg_read_us = ((int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec + read_1_us) /
|
|
|
|
num_reads;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
/* Read the data variable in horizontal slices. */
|
|
|
|
start[0] = 0;
|
|
|
|
start[1] = 0;
|
|
|
|
start[2] = 0;
|
|
|
|
start[3] = 0;
|
|
|
|
count[0] = 1;
|
|
|
|
count[1] = 1;
|
|
|
|
count[2] = LAT_LEN;
|
|
|
|
count[3] = LON_LEN;
|
|
|
|
|
|
|
|
/* Read (and time) the first one. */
|
|
|
|
if (gettimeofday(&start_time, NULL)) ERR;
|
|
|
|
if (nc_get_vara_float(ncid, varid, start, count, hor_data)) ERR_RET;
|
|
|
|
if (gettimeofday(&end_time, NULL)) ERR;
|
|
|
|
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
|
|
|
|
read_1_us = (int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec;
|
|
|
|
|
|
|
|
/* Read (and time) all the rest. */
|
|
|
|
if (gettimeofday(&start_time, NULL)) ERR;
|
|
|
|
for (start[0] = 0; read_count < MAX_READ_COUNT && start[0] < TIME_LEN; start[0]++)
|
|
|
|
for (start[1] = 1; read_count < MAX_READ_COUNT && start[1] < DEPTH_LEN; start[1]++)
|
|
|
|
{
|
|
|
|
if (nc_get_vara_float(ncid, varid, start, count, hor_data)) ERR_RET;
|
|
|
|
read_count++;
|
|
|
|
}
|
|
|
|
if (gettimeofday(&end_time, NULL)) ERR;
|
|
|
|
if (timeval_subtract(&diff_time, &end_time, &start_time)) ERR;
|
|
|
|
num_reads = (read_count == MAX_READ_COUNT) ? MAX_READ_COUNT : TIME_LEN;
|
|
|
|
avg_read_us = ((int)diff_time.tv_sec * MILLION + (int)diff_time.tv_usec +
|
|
|
|
read_1_us) / num_reads;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* Close file. */
|
|
|
|
if (nc_close(ncid)) ERR;
|
|
|
|
|
|
|
|
/* Print results. */
|
|
|
|
printf("%d\t%d\t%d\t%.1f\t\t%d\t%d\t\t",
|
|
|
|
(int)cs[0], (int)cs[1], (int)cs[2],
|
|
|
|
(storage == NC_CHUNKED) ? (cache/(float)MEGABYTE) : 0,
|
|
|
|
deflate, shuffle);
|
|
|
|
if (timeseries)
|
|
|
|
printf("%d\t\t%d\n", (int)read_1_us, (int)avg_read_us);
|
|
|
|
else
|
|
|
|
printf("%d\t\t%d\n", (int)read_1_us, (int)avg_read_us);
|
|
|
|
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|