def test_simple_file(self):
root = nc.open("unittest00.nc")[0]
t_root = nc.tailor(root, dimensions=self.dimensions)
t_data = nc.getvar(t_root, "data")
data = nc.getvar(root, "data")
self.assertEquals(data.shape, (1, 100, 200))
self.assertEquals(t_data.shape, (1, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (1,))
self.assertTrue((t_data[:] == data[:3, 10:50, 20:-20]).all())
# The random values goes from 2.5 to 10 with 0.5 steps.
t_data[:] = 1.5
nc.sync(t_root)
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
# self.assertTrue((data[:] != 1.5).any())
nc.close(t_root)
with nc.loader("unittest00.nc") as root:
data = nc.getvar(root, "data")
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
def test_simple_file(self):
root = nc.open('unittest00.nc')[0]
t_root = nc.tailor(root, dimensions=self.dimensions)
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(root, 'data')
self.assertEquals(data.shape, (1, 100, 200))
self.assertEquals(t_data.shape, (1, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (1, ))
self.assertTrue((t_data[:] == data[:3, 10:50, 20:-20]).all())
# The random values goes from 2.5 to 10 with 0.5 steps.
t_data[:] = 1.5
nc.sync(t_root)
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
# self.assertTrue((data[:] != 1.5).any())
nc.close(t_root)
with nc.loader('unittest00.nc') as root:
data = nc.getvar(root, 'data')
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
def test_getvar_with_incomplete_limited_dimensions(self):
self.dimensions.pop("time", None)
root = nc.open("unittest0*.nc")[0]
t_root = nc.tailor(root, dimensions=self.dimensions)
t_data = nc.getvar(t_root, "data")
data = nc.getvar(root, "data")
nc.sync(root)
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (5, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (5, 1))
self.assertTrue((t_data[:] == data[:, 10:50, 20:-20]).all())
# The random values goes from 2.5 to 10 with 0.5 steps.
t_data[:] = 1.5
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
nc.close(t_root)
with nc.loader("unittest0*.nc") as root:
data = nc.getvar(root, "data")
self.assertTrue((data[:, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_getvar_with_incomplete_limited_dimensions(self):
self.dimensions.pop('time', None)
root = nc.open('unittest0*.nc')[0]
t_root = nc.tailor(root, dimensions=self.dimensions)
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(root, 'data')
nc.sync(root)
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (5, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (5, 1))
self.assertTrue((t_data[:] == data[:, 10:50, 20:-20]).all())
# The random values goes from 2.5 to 10 with 0.5 steps.
t_data[:] = 1.5
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
nc.close(t_root)
with nc.loader('unittest0*.nc') as root:
data = nc.getvar(root, 'data')
self.assertTrue((data[:, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
