climate_cube_list = iris.load([historical_file, future_file], 'pr')
File "D:\projects\local\make_map_bcsd.py", line 108, in <module>
BCSDMapGenerator(**keywords)
File "D:\projects\local\make_map_bcsd.py", line 32, in __init__
self.create_iris_cube()
File "D:\projects\local\make_map_bcsd.py", line 48, in create_iris_cube
climate_cube_list = iris.load([historical_file, future_file], self.climate_variable_short)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\__init__.py", line 341, in load
return _load_collection(uris, constraints, callback).merged().cubes()
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\__init__.py", line 311, in _load_collection
result = iris.cube._CubeFilterCollection.from_cubes(cubes, constraints)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\cube.py", line 144, in from_cubes
for cube in cubes:
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\__init__.py", line 298, in _generate_cubes
for cube in iris.io.load_files(part_names, callback, constraints):
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\io\__init__.py", line 201, in load_files
for cube in handling_format_spec.handler(fnames, callback):
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\fileformats\netcdf.py", line 693, in load_cubes
cube = _load_cube(engine, cf, cf_var, filename)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\fileformats\netcdf.py", line 525, in _load_cube
engine.activate(_PYKE_RULE_BASE)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\pyke\knowledge_engine.py", line 296, in activate
for rb_name in rb_names: self.get_rb(rb_name).activate()
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\pyke\rule_base.py", line 159, in activate
self.run_fc_rules(current_rb)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\pyke\rule_base.py", line 147, in run_fc_rules
for fc_rule in rb.fc_rules: fc_rule.run()
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\pyke\fc_rule.py", line 90, in run
self.rule_fn(self)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\fileformats\_pyke_rules\compiled_krb\fc_rules_cf_fc.py", line 602, in fc_build_coordinate_longitude_nocs
coord_system=None)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\fileformats\_pyke_rules\compiled_krb\fc_rules_cf_fc.py", line 1923, in build_dimension_coordinate
circular = iris.util._is_circular(points_data, modulus_value, bounds=bounds_data)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\iris\util.py", line 1418, in _is_circular
significant=4)
File "C:\Users\pmorefi\Anaconda2\Lib\site-packages\numpy\testing\utils.py", line 637, in assert_approx_equal
raise AssertionError(msg)
AssertionError:
Items are not equal to 4 significant digits:
ACTUAL: 235.3125
DESIRED: 293.0625