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import unittest
import os
import tempfile
import numpy as np
from numpy import ma
from numpy.testing import assert_array_almost_equal
from netCDF4 import Dataset
# Test automatic conversion of masked arrays (set_always_mask())
class SetAlwaysMaskTestBase(unittest.TestCase):
"""Base object for tests checking the functionality of set_always_mask()"""
def setUp(self):
self.testfile = tempfile.NamedTemporaryFile(suffix='.nc', delete=False).name
self.v = np.array([4, 3, 2, 1], dtype="i2")
self.w = np.ma.array([-1, -2, -3, -4], mask=[False, True, False, False], dtype="i2")
f = Dataset(self.testfile, 'w')
_ = f.createDimension('x', None)
v = f.createVariable('v', "i2", 'x')
w = f.createVariable('w', "i2", 'x')
v[...] = self.v
w[...] = self.w
f.close()
def tearDown(self):
os.remove(self.testfile)
class SetAlwaysMaskTrue(SetAlwaysMaskTestBase):
def test_always_mask(self):
"""Testing auto-conversion of masked arrays with no missing values to regular arrays."""
f = Dataset(self.testfile)
f.variables["v"].set_always_mask(True) # The default anyway...
v = f.variables['v'][:]
self.assertTrue(isinstance(v, np.ndarray))
self.assertTrue(isinstance(v, ma.masked_array))
assert_array_almost_equal(v, self.v)
w = f.variables['w'][:]
self.assertTrue(isinstance(w, np.ndarray))
self.assertTrue(isinstance(w, ma.masked_array))
assert_array_almost_equal(w, self.w)
f.close()
class SetAlwyasMaskFalse(SetAlwaysMaskTestBase):
def test_always_mask(self):
"""Testing auto-conversion of masked arrays with no missing values to regular arrays."""
f = Dataset(self.testfile)
f.variables["v"].set_always_mask(False)
v = f.variables['v'][:]
self.assertTrue(isinstance(v, np.ndarray))
self.assertFalse(isinstance(v, ma.masked_array))
assert_array_almost_equal(v, self.v)
w = f.variables['w'][:]
self.assertTrue(isinstance(w, np.ndarray))
self.assertTrue(isinstance(w, ma.masked_array))
assert_array_almost_equal(w, self.w)
f.close()
class GlobalSetAlwaysMaskTest(unittest.TestCase):
def setUp(self):
self.testfile = tempfile.NamedTemporaryFile(suffix='.nc', delete=False).name
f = Dataset(self.testfile, 'w')
grp1 = f.createGroup('Group1')
grp2 = f.createGroup('Group2')
f.createGroup('Group3') # empty group
f.createVariable('var0', "i2", ())
grp1.createVariable('var1', 'f8', ())
grp2.createVariable('var2', 'f4', ())
f.close()
def tearDown(self):
os.remove(self.testfile)
def runTest(self):
# Note: The default behaviour is to always return masked
# arrays, which is already tested elsewhere.
f = Dataset(self.testfile, "r")
# Without regular numpy arrays
f.set_always_mask(True)
v0 = f.variables['var0']
v1 = f.groups['Group1'].variables['var1']
v2 = f.groups['Group2'].variables['var2']
self.assertTrue(v0.always_mask)
self.assertTrue(v1.always_mask)
self.assertTrue(v2.always_mask)
# With regular numpy arrays
f.set_always_mask(False)
self.assertFalse(v0.always_mask)
self.assertFalse(v1.always_mask)
self.assertFalse(v2.always_mask)
f.close()
if __name__ == '__main__':
unittest.main()
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