def test_getvar_source_to_single_file(self):
dims = self.dimensions
# TODO: It should spread the dimensions limits from the source.
with nc.loader("unittest_other.nc") as new_root:
with nc.loader("unittest0*.nc", dimensions=dims) as t_root:
t_data = nc.getvar(t_root, "data")
data = nc.getvar(new_root, "new_data", source=t_data)
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 1))
self.assertTrue((t_data[:] == data[0, :3, 10:50, 20:-20]).all())
# The random values goes from 2.5 to 10 with 0.5 steps.
data[0:2, -30:-20, -10:-5] = 1.5
self.assertTrue((data[:] != 1.5).any())
def test_getvar_source_to_multiple_files(self):
dims = self.dimensions
self.mult = [self.create_ref_file("unittest_ot%s.nc" % (str(i).zfill(2))) for i in range(5)]
# TODO: It should spread the dimensions limits from the source.
with nc.loader("unittest_ot0*.nc") as new_root:
with nc.loader("unittest0*.nc", dimensions=dims) as t_root:
t_data = nc.getvar(t_root, "data")
data = nc.getvar(new_root, "new_data", source=t_data)
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 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.
data[0:2, -30:-20, -10:-5] = 1.5
self.assertTrue((data[:] != 1.5).any())
def test_getvar_source_to_single_file(self):
dims = self.dimensions
# TODO: It should spread the dimensions limits from the source.
with nc.loader('unittest_other.nc') as new_root:
with nc.loader('unittest0*.nc', dimensions=dims) as t_root:
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(new_root, 'new_data', source=t_data)
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 1))
self.assertTrue((t_data[:] == data[0, :3, 10:50,
20:-20]).all())
# The random values goes from 2.5 to 10 with 0.5 steps.
data[0:2, -30:-20, -10:-5] = 1.5
self.assertTrue((data[:] != 1.5).any())
def test_specific_subindex_overflow_warning(self):
dims = self.dimensions
dims['time'] = [1, 3]
with nc.loader('unittest0*.nc', dimensions=dims) as t_root:
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(t_root.root, 'data')
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (2, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (2, 1))
# The random values goes from 2.5 to 10 with 0.5 steps.
with self.assertRaisesRegexp(
Exception, 'Overflow: Index outside of the tile '
'dimensions.'):
t_data[1:3, 10, 30] = 1.5
with self.assertRaisesRegexp(
Exception, 'Overflow: Index outside of the tile '
'dimensions.'):
t_data[1:2, -41, 30] = 1.5
with self.assertRaisesRegexp(
Exception, 'Overflow: Index outside of the tile '
'dimensions.'):
t_data[1:2, 10, -161] = 1.5
with self.assertRaisesRegexp(
Exception, 'Overflow: Index outside of the tile '
'dimensions.'):
t_data[-3:-1, -10, -30] = 1.5
with self.assertRaisesRegexp(
Exception, 'Overflow: Index outside of the tile '
'dimensions.'):
t_data[-2:, 41, -30] = 1.5
with self.assertRaisesRegexp(
Exception, 'Overflow: Index outside of the tile '
'dimensions.'):
t_data[-2:, -10, 161] = 1.5
self.assertTrue((t_data[:] != 1.5).all())
def test_specific_subindex_support(self):
dims = self.dimensions
with nc.loader('unittest0*.nc', dimensions=dims) as t_root:
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(t_root.root, 'data')
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 1))
# The random values goes from 2.5 to 10 with 0.5 steps.
t_data[0:2, 10, 3] = 1.5
self.assertTrue((t_data[0:2, 10, 3] == 1.5).all())
self.assertTrue((data[0:2, 20, 23] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
with nc.loader('unittest0*.nc') as root:
data = nc.getvar(root, 'data')
self.assertTrue((data[0, 20, 23] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_getvar_source_to_multiple_files(self):
dims = self.dimensions
self.mult = [
self.create_ref_file('unittest_ot%s.nc' % (str(i).zfill(2)))
for i in range(5)
]
# TODO: It should spread the dimensions limits from the source.
with nc.loader('unittest_ot0*.nc') as new_root:
with nc.loader('unittest0*.nc', dimensions=dims) as t_root:
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(new_root, 'new_data', source=t_data)
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 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.
data[0:2, -30:-20, -10:-5] = 1.5
self.assertTrue((data[:] != 1.5).any())
def test_specific_subindex_support(self):
dims = self.dimensions
with nc.loader("unittest0*.nc", dimensions=dims) as t_root:
t_data = nc.getvar(t_root, "data")
data = nc.getvar(t_root.root, "data")
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 1))
# The random values goes from 2.5 to 10 with 0.5 steps.
t_data[0:2, 10, 3] = 1.5
self.assertTrue((t_data[0:2, 10, 3] == 1.5).all())
self.assertTrue((data[0:2, 20, 23] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
with nc.loader("unittest0*.nc") as root:
data = nc.getvar(root, "data")
self.assertTrue((data[0, 20, 23] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_getvar_source(self):
dims = self.dimensions
with nc.loader("unittest0*.nc", dimensions=dims) as t_root:
ref_data = nc.getvar(t_root.root, "data")
t_data = nc.getvar(t_root, "new_data", source=ref_data)
data = nc.getvar(t_root.root, "new_data")
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 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
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
with nc.loader("unittest0*.nc") as root:
data = nc.getvar(root, "new_data")
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_using_with(self):
# use the with to open the files.
dims = self.dimensions
with nc.loader("unittest0*.nc", dimensions=dims) as t_root:
t_data = nc.getvar(t_root, "data")
data = nc.getvar(t_root.root, "data")
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 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
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
with nc.loader("unittest0*.nc") as root:
data = nc.getvar(root, "data")
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_using_with(self):
# use the with to open the files.
dims = self.dimensions
with nc.loader('unittest0*.nc', dimensions=dims) as t_root:
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(t_root.root, 'data')
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 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
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
with nc.loader('unittest0*.nc') as root:
data = nc.getvar(root, 'data')
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_getvar_source(self):
dims = self.dimensions
with nc.loader('unittest0*.nc', dimensions=dims) as t_root:
ref_data = nc.getvar(t_root.root, 'data')
t_data = nc.getvar(t_root, 'new_data', source=ref_data)
data = nc.getvar(t_root.root, 'new_data')
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 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
self.assertTrue((t_data[:] == 1.5).all())
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
with nc.loader('unittest0*.nc') as root:
data = nc.getvar(root, 'new_data')
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_getdim(self):
dims = self.dimensions
with nc.loader("unittest_dims.nc", dimensions=dims) as t_root:
t_dim_x = nc.getdim(t_root, "xc_k", 1)
t_dim_y = nc.getdim(t_root, "yc_k", 1)
t_dim_time = nc.getdim(t_root, "time", 1)
self.assertEquals(len(t_dim_x[0]), 1)
self.assertEquals(len(t_dim_y[0]), 1)
self.assertEquals(len(t_dim_time[0]), 1)
t_data = nc.getvar(t_root, "only_one_pixel", "f4", ("time", "yc_k", "xc_k"))
self.assertEquals(t_data.shape, (1, 1, 1))
def test_getdim(self):
dims = self.dimensions
with nc.loader('unittest_dims.nc', dimensions=dims) as t_root:
t_dim_x = nc.getdim(t_root, 'xc_k', 1)
t_dim_y = nc.getdim(t_root, 'yc_k', 1)
t_dim_time = nc.getdim(t_root, 'time', 1)
self.assertEquals(len(t_dim_x[0]), 1)
self.assertEquals(len(t_dim_y[0]), 1)
self.assertEquals(len(t_dim_time[0]), 1)
t_data = nc.getvar(t_root, 'only_one_pixel', 'f4',
('time', 'yc_k', 'xc_k'))
self.assertEquals(t_data.shape, (1, 1, 1))
def test_using_with_and_readonly_restriction(self):
# check the files are NOT read only.
filenames = map(lambda i: "unittest0%i.nc" % i, range(5))
can_write = map(lambda f: os.access(f, os.W_OK), filenames)
self.assertTrue(all(can_write))
# use the with to open the files with readonly access.
dims = self.dimensions
with nc.loader("unittest0*.nc", dimensions=dims, read_only=True) as t_root:
self.assertTrue(t_root.read_only)
t_data = nc.getvar(t_root, "data")
data = nc.getvar(t_root.root, "data")
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 1))
self.assertTrue((t_data[:] == data[:3, 10:50, 20:-20]).all())
with self.assertRaisesRegexp(Exception, u"NetCDF: Write to read only"):
var = nc.getvar(t_root, "data")
var[:] = 0
def test_compact_multiple_files(self):
t_root = nc.tailor('unittest0*.nc', dimensions=self.dimensions)
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(t_root.root, 'data')
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 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
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('unittest0*.nc') as root:
data = nc.getvar(root, 'data')
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
def test_compact_multiple_files(self):
t_root = nc.tailor("unittest0*.nc", dimensions=self.dimensions)
t_data = nc.getvar(t_root, "data")
data = nc.getvar(t_root.root, "data")
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (3, 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
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("unittest0*.nc") as root:
data = nc.getvar(root, "data")
self.assertTrue((data[:3, 10:50, 20:-20] == 1.5).all())
self.assertTrue((data[:] != 1.5).any())
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_using_with_and_readonly_restriction(self):
# check the files are NOT read only.
filenames = map(lambda i: 'unittest0%i.nc' % i, range(5))
can_write = map(lambda f: os.access(f, os.W_OK), filenames)
self.assertTrue(all(can_write))
# use the with to open the files with readonly access.
dims = self.dimensions
with nc.loader('unittest0*.nc', dimensions=dims,
read_only=True) as t_root:
self.assertTrue(t_root.read_only)
t_data = nc.getvar(t_root, 'data')
data = nc.getvar(t_root.root, 'data')
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (3, 40, 160))
self.assertEquals(nc.getvar(t_root, 'time').shape, (3, 1))
self.assertTrue((t_data[:] == data[:3, 10:50, 20:-20]).all())
with self.assertRaisesRegexp(Exception,
u'NetCDF: Write to read only'):
var = nc.getvar(t_root, 'data')
var[:] = 0
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())
def test_specific_subindex_overflow_warning(self):
dims = self.dimensions
dims["time"] = [1, 3]
with nc.loader("unittest0*.nc", dimensions=dims) as t_root:
t_data = nc.getvar(t_root, "data")
data = nc.getvar(t_root.root, "data")
self.assertEquals(data.shape, (5, 100, 200))
self.assertEquals(t_data.shape, (2, 40, 160))
self.assertEquals(nc.getvar(t_root, "time").shape, (2, 1))
# The random values goes from 2.5 to 10 with 0.5 steps.
with self.assertRaisesRegexp(Exception, "Overflow: Index outside of the tile " "dimensions."):
t_data[1:3, 10, 30] = 1.5
with self.assertRaisesRegexp(Exception, "Overflow: Index outside of the tile " "dimensions."):
t_data[1:2, -41, 30] = 1.5
with self.assertRaisesRegexp(Exception, "Overflow: Index outside of the tile " "dimensions."):
t_data[1:2, 10, -161] = 1.5
with self.assertRaisesRegexp(Exception, "Overflow: Index outside of the tile " "dimensions."):
t_data[-3:-1, -10, -30] = 1.5
with self.assertRaisesRegexp(Exception, "Overflow: Index outside of the tile " "dimensions."):
t_data[-2:, 41, -30] = 1.5
with self.assertRaisesRegexp(Exception, "Overflow: Index outside of the tile " "dimensions."):
t_data[-2:, -10, 161] = 1.5
self.assertTrue((t_data[:] != 1.5).all())
