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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 variable creation.
FILE_NAME = tempfile.NamedTemporaryFile(suffix='.nc', delete=False).name
VAR_DOUBLE_NAME="dummy_var"
VAR_SHORT_NAME='dummy_var_short'
VARNAMES = sorted([VAR_DOUBLE_NAME,VAR_SHORT_NAME])
GROUP_NAME = "dummy_group"
DIM1_NAME="x"
DIM1_LEN=2
DIM2_NAME="y"
DIM2_LEN=3
DIM3_NAME="z"
DIM3_LEN=25
randomdata = uniform(size=(DIM1_LEN,DIM2_LEN,DIM3_LEN))
class VariablesTestCase(unittest.TestCase):
def setUp(self):
self.file = FILE_NAME
f = netCDF4.Dataset(self.file, 'w')
f.createDimension(DIM1_NAME, DIM1_LEN)
f.createDimension(DIM2_NAME, DIM2_LEN)
f.createDimension(DIM3_NAME, DIM3_LEN)
v1 = f.createVariable(VAR_DOUBLE_NAME, 'f8',(DIM1_NAME,DIM2_NAME,DIM3_NAME))
v2 = f.createVariable(VAR_SHORT_NAME, 'i2',(DIM2_NAME,DIM3_NAME))
v1.long_name = 'dummy data root'
g = f.createGroup(GROUP_NAME)
g.createDimension(DIM1_NAME, DIM1_LEN)
g.createDimension(DIM2_NAME, DIM2_LEN)
g.createDimension(DIM3_NAME, DIM3_LEN)
v1g = g.createVariable(VAR_DOUBLE_NAME, 'f8',(DIM1_NAME,DIM2_NAME,DIM3_NAME))
v2g = g.createVariable(VAR_SHORT_NAME, 'i2',(DIM2_NAME,DIM3_NAME))
v1g.long_name = 'dummy data subgroup'
v1[:] = randomdata
v1g[:] = randomdata
f.close()
def tearDown(self):
# Remove the temporary files
os.remove(self.file)
def runTest(self):
"""testing primitive variables"""
f = netCDF4.Dataset(self.file, 'r')
# check variables in root group.
varnames = sorted(f.variables.keys())
v1 = f.variables[VAR_DOUBLE_NAME]
v2 = f.variables[VAR_SHORT_NAME]
assert varnames == VARNAMES
assert v1.dtype.str[1:] == 'f8'
assert v2.dtype.str[1:] == 'i2'
assert v1.long_name == 'dummy data root'
assert v1.dimensions == (DIM1_NAME,DIM2_NAME,DIM3_NAME)
assert v2.dimensions == (DIM2_NAME,DIM3_NAME)
assert v1.shape == (DIM1_LEN,DIM2_LEN,DIM3_LEN)
assert v2.shape == (DIM2_LEN,DIM3_LEN)
assert v1.size == DIM1_LEN * DIM2_LEN * DIM3_LEN
assert len(v1) == DIM1_LEN
#assert np.allclose(v1[:],randomdata)
assert_array_almost_equal(v1[:],randomdata)
# check variables in sub group.
g = f.groups[GROUP_NAME]
varnames = sorted(g.variables.keys())
v1 = g.variables[VAR_DOUBLE_NAME]
# test iterating over variable (should stop when
# it gets to the end and raises IndexError, issue 121)
for v in v1:
pass
v2 = g.variables[VAR_SHORT_NAME]
assert varnames == VARNAMES
assert v1.dtype.str[1:] == 'f8'
assert v2.dtype.str[1:] == 'i2'
assert v1.long_name == 'dummy data subgroup'
assert v1.dimensions == (DIM1_NAME,DIM2_NAME,DIM3_NAME)
assert v2.dimensions == (DIM2_NAME,DIM3_NAME)
assert v1.shape == (DIM1_LEN,DIM2_LEN,DIM3_LEN)
assert v2.shape == (DIM2_LEN,DIM3_LEN)
#assert np.allclose(v1[:],randomdata)
assert_array_almost_equal(v1[:],randomdata)
f.close()
if __name__ == '__main__':
unittest.main()
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