1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
|
import netCDF4
import numpy as np
import pathlib
import tempfile
import unittest
complex_array = np.array([0 + 0j, 1 + 0j, 0 + 1j, 1 + 1j, 0.25 + 0.75j], dtype="c16")
np_dt = np.dtype([("r", np.float64), ("i", np.float64)])
complex_struct_array = np.array(
[(r, i) for r, i in zip(complex_array.real, complex_array.imag)],
dtype=np_dt,
)
class ComplexNumbersTestCase(unittest.TestCase):
def setUp(self):
self.tmp_path = pathlib.Path(tempfile.mkdtemp())
def test_read_dim(self):
filename = self.tmp_path / "test_read_dim.nc"
with netCDF4.Dataset(filename, "w") as f:
f.createDimension("x", size=len(complex_array))
f.createDimension("ri", size=2)
c_ri = f.createVariable("data_dim", np.float64, ("x", "ri"))
as_dim_array = np.vstack((complex_array.real, complex_array.imag)).T
c_ri[:] = as_dim_array
with netCDF4.Dataset(filename, "r", auto_complex=True) as f:
assert "data_dim" in f.variables
data_dim = f["data_dim"]
assert data_dim.shape == complex_array.shape
data = data_dim[:]
assert np.array_equal(data, complex_array)
def test_read_struct(self):
filename = self.tmp_path / "test_read_struct.nc"
with netCDF4.Dataset(filename, "w") as f:
f.createDimension("x", size=len(complex_array))
nc_dt = f.createCompoundType(np_dt, "nc_complex")
c_struct = f.createVariable("data_struct", nc_dt, ("x",))
c_struct[:] = complex_struct_array
with netCDF4.Dataset(filename, "r", auto_complex=True) as f:
assert "data_struct" in f.variables
data = f["data_struct"][:]
assert np.array_equal(data, complex_array)
def test_write(self):
filename = self.tmp_path / "test_write.nc"
with netCDF4.Dataset(filename, "w", auto_complex=True) as f:
f.createDimension("x", size=len(complex_array))
complex_var = f.createVariable("complex_data", "c16", ("x",))
complex_var[:] = complex_array
with netCDF4.Dataset(filename, "r") as f:
assert "complex_data" in f.variables
assert np.array_equal(f["complex_data"], complex_struct_array)
def test_write_with_np_complex128(self):
filename = self.tmp_path / "test_write_with_np_complex128.nc"
with netCDF4.Dataset(filename, "w", auto_complex=True) as f:
f.createDimension("x", size=len(complex_array))
complex_var = f.createVariable("complex_data", np.complex128, ("x",))
complex_var[:] = complex_array
with netCDF4.Dataset(filename, "r") as f:
assert "complex_data" in f.variables
assert np.array_equal(f["complex_data"], complex_struct_array)
def test_write_netcdf3(self):
filename = self.tmp_path / "test_write_netcdf3.nc"
with netCDF4.Dataset(
filename, "w", format="NETCDF3_CLASSIC", auto_complex=True
) as f:
f.createDimension("x", size=len(complex_array))
complex_var = f.createVariable("complex_data", "c16", ("x",))
complex_var[:] = complex_array
with netCDF4.Dataset(filename, "r", auto_complex=True) as f:
assert "complex_data" in f.variables
assert np.array_equal(f["complex_data"][:], complex_array)
if __name__ == "__main__":
unittest.main()
|
