Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

uamiv test using only raw uamiv variables #3485

Merged
merged 4 commits into from
Nov 5, 2019
Merged

uamiv test using only raw uamiv variables #3485

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
544574c
uamiv test using only raw uamiv variables
barronh Nov 5, 2019
b1b2070
uamiv test using only raw uamiv variables
barronh Nov 5, 2019
31b6f74
uamiv test using only raw uamiv variables
barronh Nov 5, 2019
ea49dee
uamiv test using only raw uamiv variables
barronh Nov 5, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
32 changes: 13 additions & 19 deletions xarray/tests/test_backends.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3400,20 +3400,17 @@ def test_uamiv_format_read(self):
actual = camxfile.variables["O3"]
assert_allclose(expected, actual)

data = np.array(["2002-06-03"], "datetime64[ns]")
data = np.array([[[2002154, 0]]], dtype="i")
expected = xr.Variable(
("TSTEP",),
("TSTEP", "VAR", "DATE-TIME"),
data,
dict(
bounds="time_bounds",
long_name=(
"synthesized time coordinate "
+ "from SDATE, STIME, STEP "
+ "global attributes"
),
long_name="TFLAG".ljust(16),
var_desc="TFLAG".ljust(80),
units="DATE-TIME".ljust(16),
),
)
actual = camxfile.variables["time"]
actual = camxfile.variables["TFLAG"]
assert_allclose(expected, actual)
camxfile.close()

Expand All @@ -3439,18 +3436,15 @@ def test_uamiv_format_mfread(self):
actual = camxfile.variables["O3"]
assert_allclose(expected, actual)

data1 = np.array(["2002-06-03"], "datetime64[ns]")
data = np.concatenate([data1] * 2, axis=0)
data = np.array([[[2002154, 0]]], dtype="i").repeat(2, 0)
attrs = dict(
bounds="time_bounds",
long_name=(
"synthesized time coordinate "
+ "from SDATE, STIME, STEP "
+ "global attributes"
),
long_name="TFLAG".ljust(16),
var_desc="TFLAG".ljust(80),
units="DATE-TIME".ljust(16),
)
expected = xr.Variable(("TSTEP",), data, attrs)
actual = camxfile.variables["time"]
dims = ("TSTEP", "VAR", "DATE-TIME")
expected = xr.Variable(dims, data, attrs)
actual = camxfile.variables["TFLAG"]
assert_allclose(expected, actual)
camxfile.close()

Expand Down