def test_2d_regular_grid(self):
'''
Ensures 2D Regular Grid detection works
'''
with Dataset(resources.STATIC_FILES['2d-regular-grid']) as nc:
for variable in util.get_geophysical_variables(nc):
assert util.is_2d_regular_grid(nc, variable), "{} is 2D regular grid".format(variable)
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consistent with a regular gridded dataset
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
results = []
required_ctx = TestCtx(
BaseCheck.HIGH,
'All geophysical variables are regular gridded feature types')
message = '{} must be a valid regular gridded feature type. It must have dimensions (t, z, y, x)'
message += ' and each dimension must be a coordinate variable with a dimension with the same name'
message += ' as the variable. z is optional.'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_2d_regular_grid(dataset, variable)
is_valid = is_valid or util.is_3d_regular_grid(dataset, variable)
required_ctx.assert_true(is_valid, message.format(variable))
results.append(required_ctx.to_result())
return results
def check_dimensions(self, dataset):
'''
Checks that the feature types of this dataset are consistent with a regular gridded dataset
:param netCDF4.Dataset dataset: An open netCDF dataset
'''
results = []
required_ctx = TestCtx(BaseCheck.HIGH, 'All geophysical variables are regular gridded feature types')
message = '{} must be a valid regular gridded feature type. It must have dimensions (t, z, y, x)'
message += ' and each dimension must be a coordinate variable with a dimension with the same name'
message += ' as the variable. z is optional.'
for variable in util.get_geophysical_variables(dataset):
is_valid = util.is_2d_regular_grid(dataset, variable)
is_valid = is_valid or util.is_3d_regular_grid(dataset, variable)
required_ctx.assert_true(
is_valid,
message.format(variable)
)
results.append(required_ctx.to_result())
return results