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import sys
import unittest
import os
import tempfile
import numpy as np
from numpy.random.mtrand import uniform
from numpy.testing import assert_array_equal, assert_array_almost_equal
import netCDF4
# test creating variables with unlimited dimensions,
# writing to and retrieving data from such variables.
# create an n1dim by n2dim by n3dim random array
n1dim = 4
n2dim = 10
n3dim = 8
ranarr = 100.*uniform(size=(n1dim,n2dim,n3dim))
FILE_NAME = tempfile.NamedTemporaryFile(suffix='.nc', delete=False).name
class UnlimdimTestCase(unittest.TestCase):
def setUp(self):
self.file = FILE_NAME
f = netCDF4.Dataset(self.file, 'w')
# foo has a single unlimited dimension
f.createDimension('n1', n1dim)
f.createDimension('n2', None)
f.createDimension('n3', n3dim)
foo = f.createVariable('data1', ranarr.dtype.str[1:], ('n1','n2','n3'))
# write some data to it.
#foo[:,0:n2dim,:] = ranarr
foo[:] = ranarr
foo[:,n2dim:,:] = 2.*ranarr
# bar has 2 unlimited dimensions
f.createDimension('n4', None)
f.createDimension('n5', n2dim)
f.createDimension('n6', None)
# write some data to it.
bar = f.createVariable('data2', ranarr.dtype.str[1:], ('n4','n5','n6'))
# bar[0:n1dim,:, 0:n3dim] = ranarr
bar[0:n1dim,:, 0:n3dim] = 2.0
f.close()
def tearDown(self):
# Remove the temporary files
os.remove(self.file)
def runTest(self):
"""testing unlimited dimensions"""
f = netCDF4.Dataset(self.file, 'r')
foo = f.variables['data1']
# check shape.
self.assertTrue(foo.shape == (n1dim,2*n2dim,n3dim))
# check data.
assert_array_almost_equal(foo[:,0:n2dim,:], ranarr)
assert_array_almost_equal(foo[:,n2dim:2*n2dim,:], 2.*ranarr)
bar = f.variables['data2']
# check shape.
self.assertTrue(bar.shape == (n1dim,n2dim,n3dim))
# check data.
#assert_array_almost_equal(bar[:,:,:], ranarr)
assert_array_almost_equal(bar[:,:,:], 2.*np.ones((n1dim,n2dim,n3dim),ranarr.dtype))
f.close()
if __name__ == '__main__':
unittest.main()
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