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tst_var_get_varn.py
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#
# Copyright (C) 2024, Northwestern University and Argonne National Laboratory
# See COPYRIGHT notice in top-level directory.
#
import pnetcdf
from numpy.testing import assert_array_equal
import unittest, os, sys
import numpy as np
from mpi4py import MPI
from utils import validate_nc_file
import io
import argparse
file_formats = ['NC_64BIT_DATA', 'NC_64BIT_OFFSET', None]
file_name = "tst_var_get_varn.nc"
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
size = comm.Get_size()
xdim = 4
ydim = 10
MAX_NUM_REQS = 6
NDIMS = 2
# data to store in NetCDF variable
data = np.array([[3, 3, 3, 1, 1, 0, 0, 2, 1, 1],
[0, 2, 2, 2, 3, 1, 1, 2, 2, 2],
[1, 1, 2, 3, 3, 3, 0, 0, 1, 1],
[0, 0, 0, 2, 1, 1, 1, 3, 3, 3]], np.float32)
starts = np.zeros((MAX_NUM_REQS, NDIMS), dtype=np.int64)
counts = np.zeros((MAX_NUM_REQS, NDIMS), dtype=np.int64)
#initialize variable values
if rank == 0:
num_reqs = 4
starts[0][0] = 0; starts[0][1] = 5; counts[0][0] = 1; counts[0][1] = 2
starts[1][0] = 1; starts[1][1] = 0; counts[1][0] = 1; counts[1][1] = 1
starts[2][0] = 2; starts[2][1] = 6; counts[2][0] = 1; counts[2][1] = 2
starts[3][0] = 3; starts[3][1] = 0; counts[3][0] = 1; counts[3][1] = 3
# rank 0 is reading the following locations: ("-" means skip)
# - - - - - 0 0 - - -
# 0 - - - - - - - - -
# - - - - - - 0 0 - -
# 0 0 0 - - - - - - -
elif rank == 1:
num_reqs = 6
starts[0][0] = 0; starts[0][1] = 3; counts[0][0] = 1; counts[0][1] = 2
starts[1][0] = 0; starts[1][1] = 8; counts[1][0] = 1; counts[1][1] = 2
starts[2][0] = 1; starts[2][1] = 5; counts[2][0] = 1; counts[2][1] = 2
starts[3][0] = 2; starts[3][1] = 0; counts[3][0] = 1; counts[3][1] = 2
starts[4][0] = 2; starts[4][1] = 8; counts[4][0] = 1; counts[4][1] = 2
starts[5][0] = 3; starts[5][1] = 4; counts[5][0] = 1; counts[5][1] = 3
# rank 1 is reading the following locations: ("-" means skip)
# - - - 1 1 - - - 1 1
# - - - - - 1 1 - - -
# 1 1 - - - - - - 1 1
# - - - - 1 1 1 - - -
elif rank == 2:
num_reqs = 5
starts[0][0] = 0; starts[0][1] = 7; counts[0][0] = 1; counts[0][1] = 1
starts[1][0] = 1; starts[1][1] = 1; counts[1][0] = 1; counts[1][1] = 3
starts[2][0] = 1; starts[2][1] = 7; counts[2][0] = 1; counts[2][1] = 3
starts[3][0] = 2; starts[3][1] = 2; counts[3][0] = 1; counts[3][1] = 1
starts[4][0] = 3; starts[4][1] = 3; counts[4][0] = 1; counts[4][1] = 1
# rank 2 is reading the following locations: ("-" means skip)
# - - - - - - - 2 - -
# - 2 2 2 - - - 2 2 2
# - - 2 - - - - - - -
# - - - 2 - - - - - -
elif rank == 3:
num_reqs = 4
starts[0][0] = 0; starts[0][1] = 0; counts[0][0] = 1; counts[0][1] = 3
starts[1][0] = 1; starts[1][1] = 4; counts[1][0] = 1; counts[1][1] = 1
starts[2][0] = 2; starts[2][1] = 3; counts[2][0] = 1; counts[2][1] = 3
starts[3][0] = 3; starts[3][1] = 7; counts[3][0] = 1; counts[3][1] = 3
# rank 3 is reading the following locations: ("-" means skip)
# 3 3 3 - - - - - - -
# - - - - 3 - - - - -
# - - - 3 3 3 - - - -
# - - - - - - - 3 3 3
else:
num_reqs = 0
# Obtain the size of returned array, needed for generating reference array
buf_len = np.sum(np.prod(counts, axis=1))
class VariablesTestCase(unittest.TestCase):
def setUp(self):
if (len(sys.argv) == 2) and os.path.isdir(sys.argv[1]):
self.file_path = os.path.join(sys.argv[1], file_name)
else:
self.file_path = file_name
self._file_format = file_formats.pop(0)
f = pnetcdf.File(filename=self.file_path, mode = 'w',
format=self._file_format, comm=comm, info=None)
# define dimensions and variables
f.def_dim('x',xdim)
f.def_dim('y',ydim)
var1 = f.def_var('var1', pnetcdf.NC_FLOAT, ('x', 'y'))
f.enddef()
var1[:] = data
comm.Barrier()
if os.environ.get('PNETCDF_DIR') is not None:
assert validate_nc_file(os.environ.get('PNETCDF_DIR'), self.file_path) == 0
def tearDown(self):
# Remove the temporary files
comm.Barrier()
if (rank == 0) and not((len(sys.argv) == 2) and os.path.isdir(sys.argv[1])):
os.remove(self.file_path)
def runTest(self):
"""testing variable get varn for CDF-5/CDF-2/CDF-1 file"""
dataref = np.full((buf_len,), rank, np.float32)
f = pnetcdf.File(self.file_path, 'r')
# test collective i/o get_varn
v1 = f.variables['var1']
buff = np.empty((buf_len,), v1.dtype)
v1.get_varn_all(buff, num_reqs, starts, counts)
assert_array_equal(buff, dataref)
# test independent i/o get_varn
f.begin_indep()
buff = np.empty((buf_len,), v1.dtype)
v1.get_varn(buff, num_reqs, starts, counts)
assert_array_equal(buff, dataref)
f.close()
if __name__ == '__main__':
suite = unittest.TestSuite()
for i in range(len(file_formats)):
suite.addTest(VariablesTestCase())
runner = unittest.TextTestRunner()
output = io.StringIO()
runner = unittest.TextTestRunner(stream=output)
result = runner.run(suite)
if not result.wasSuccessful():
print(output.getvalue())
sys.exit(1)