I'd like to experiment with this workbench but so far, everything I have
tried has been broken...
REPRO 1: test fails
------------------------
$ git clone https://github.com/apache/climate.git
$ cd climate
$ git log | head
commit 90b1b9ffe32d21af97f5437253f9621a14ec557f
Merge: d98d172 21fe4ea
Author: huikyole <huiky...@argo.jpl.nasa.gov>
Date: Tue Jan 10 08:19:40 2017 -0800
CLIMATE-894 - Debugging regrid_spatial_mask
$ ./test.sh
...
======================================================================
FAIL: test_odd_nice_intervals
(ocw.tests.test_plotter.TestNiceIntervalsFunction)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/home/toddg/projects/climate/climate/ocw/tests/test_plotter.py", line
46, in test_odd_nice_intervals
np.testing.assert_array_equal(result, expected_array)
File
"/opt/anaconda3/envs/python27/lib/python2.7/site-packages/numpy/testing/utils.py",
line 871, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File
"/opt/anaconda3/envs/python27/lib/python2.7/site-packages/numpy/testing/utils.py",
line 796, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(mismatch 80.0%)
x: array([-1.6, -0.8, 0. , 0.8, 1.6])
y: array([-2., -1., 0., 1., 2.])
----------------------------------------------------------------------
Ran 206 tests in 126.232s
FAILED (failures=1)
REPRO 2: examples fail
-------------------------------
(python27) [toddg@dino examples (master)]$ python
simple_model_to_model_bias.py
Loading
/tmp/AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc into
an OCW Dataset Object
KNMI_Dataset.values shape: (times, lats, lons) - (240, 201, 194)
Loading /tmp/AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc
into an OCW Dataset Object
WRF_Dataset.values shape: (times, lats, lons) - (240, 201, 194)
Temporally Rebinning the Datasets to an Annual Timestep
KNMI_Dataset.values shape: (20, 201, 194)
WRF_Dataset.values shape: (20, 201, 194)
The KNMI_Dataset spatial bounds (min_lat, max_lat, min_lon, max_lon) are:
(-45.7599983215332, 42.2400016784668, -24.639999389648438,
60.279998779296875)
The KNMI_Dataset spatial resolution (lat_resolution, lon_resolution) is:
(0.43999863, 0.44000053)
Spatially Regridding the KNMI_Dataset...
Traceback (most recent call last):
File "simple_model_to_model_bias.py", line 79, in <module>
knmi_dataset = dsp.spatial_regrid(knmi_dataset, new_lats, new_lons)
File
"/opt/anaconda3/envs/python27/lib/python2.7/site-packages/ocw/dataset_processor.py",
line 301, in spatial_regrid
values_original.data[idx] = q_shifted[idx]
File
"/opt/anaconda3/envs/python27/lib/python2.7/site-packages/numpy/ma/core.py",
line 3168, in __getitem__
dout = self.data[indx]
IndexError: in the future, 0-d boolean arrays will be interpreted as a
valid boolean index
-Todd
