adapt to changed worldbank data

CHANGELOG.md

@@ -29,6 +29,7 @@ Code freeze date: YYYY-MM-DD
 - Fix the dist_approx util function when used with method="geosphere" and log=True and points that are very close. [#792](https://github.com/CLIMADA-project/climada_python/pull/792)
 - `climada.util.yearsets.sample_from_poisson`: fix a bug ([#819](https://github.com/CLIMADA-project/climada_python/issues/819)) and inconsistency that occurs when lambda events per year (`lam`) are set to 1. [[#823](https://github.com/CLIMADA-project/climada_python/pull/823)]
 - In the TropCyclone class in the Holland model 2008 and 2010 implementation, a doublecounting of translational velocity is removed [#833](https://github.com/CLIMADA-project/climada_python/pull/833)
+- `climada.util.test.test_finance` and `climada.test.test_engine` updated to recent input data from worldbank [#841](https://github.com/CLIMADA-project/climada_python/pull/841)
 
 ### Deprecated
 

climada/test/test_engine.py

@@ -173,7 +173,7 @@ def test_scale_impact2refyear(self):
         )
         # scaled impact value might change if worldbank input data changes,
         # check magnitude and adjust if test fails in the following line:
-        self.assertListEqual(impact_scaled, [28, 137, 1000, 165, 304])
+        self.assertListEqual(impact_scaled, [28, 137, 999, 163, 304])
 
 
 class TestEmdatToImpact(unittest.TestCase):

climada/util/test/test_finance.py

@@ -45,164 +45,168 @@ class TestWBData(unittest.TestCase):
     def test_ne_income_grp_aia_pass(self):
         """Test nat_earth_adm0 function Anguilla."""
         ref_year = 2012
-        res_year, res_val = nat_earth_adm0('AIA', 'INCOME_GRP',
-                                           shp_file=SHP_FILE)
+        ne_year, ne_val = nat_earth_adm0('AIA', 'INCOME_GRP',
+                                         shp_file=SHP_FILE)
 
         ref_year = 0
         ref_val = 3
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(ne_year, ref_year)
+        self.assertEqual(ne_val, ref_val)
 
     def test_wb_income_grp_sxm_pass(self):
         """Test world_bank function Sint Maarten."""
         ref_year = 2012
-        res_year, res_val = world_bank('SXM', ref_year, 'INC_GRP')
+        wb_year, wb_val = world_bank('SXM', ref_year, 'INC_GRP')
 
         ref_year = 2012
         ref_val = 4
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(wb_year, ref_year)
+        self.assertEqual(wb_val, ref_val)
 
     def test_income_grp_sxm_1999_pass(self):
         """Test income_group function Sint Maarten."""
         ref_year = 1999
         with self.assertLogs('climada.util.finance', level='INFO') as cm:
-            res_year, res_val = income_group('SXM', ref_year, SHP_FILE)
+            ig_year, ig_val = income_group('SXM', ref_year, SHP_FILE)
 
         ref_year = 2010
         ref_val = 4
         self.assertIn('Income group SXM 2010: 4.', cm.output[0])
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(ig_year, ref_year)
+        self.assertEqual(ig_val, ref_val)
 
     def test_ne_gdp_aia_2012_pass(self):
         """Test nat_earth_adm0 function Anguilla."""
         ref_year = 2012
-        res_year, res_val = nat_earth_adm0('AIA', 'GDP_MD',
-                                           'GDP_YEAR', SHP_FILE)
+        ne_year, ne_val = nat_earth_adm0('AIA', 'GDP_MD',
+                                         'GDP_YEAR', SHP_FILE)
 
         ref_year = 2009
         ref_val = 1.75e+08
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(ne_year, ref_year)
+        self.assertEqual(ne_val, ref_val)
 
     def test_gdp_sxm_2010_pass(self):
         """Test gdp function Sint Maarten."""
         # If World Bank input data changes, make sure to set ref_year to a year where
         # no data is available so that the next available data point has to be selected.
         ref_year = 2010
         with self.assertLogs('climada.util.finance', level='INFO') as cm:
-            res_year, res_val = gdp('SXM', ref_year)
+            gdp_year, gdp_val = gdp('SXM', ref_year)
 
         ref_val = 936089385.47486 # reference GDP value
         ref_year = 2011 # nearest year with data available (might change)
         # GDP and years with data available might change if worldbank input
         # data changes, check magnitude and adjust ref_val and/or ref_year
         # if test fails:
         self.assertIn('GDP SXM %i: %1.3e' % (ref_year, ref_val), cm.output[0])
-        self.assertEqual(res_year, ref_year)
-        self.assertAlmostEqual(res_val, ref_val, places=0)
+        self.assertEqual(gdp_year, ref_year)
+        self.assertAlmostEqual(gdp_val, ref_val, places=0)
 
     def test_gdp_twn_2012_pass(self):
         """Test gdp function TWN."""
         ref_year = 2014
-        res_year, res_val = gdp('TWN', ref_year)
-        _, res_val_direct = _gdp_twn(ref_year)
+        gdp_year, gdp_val = gdp('TWN', ref_year)
+        _, gdp_val_direct = _gdp_twn(ref_year)
         ref_val = 530515000000.0
         ref_year = 2014
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
-        self.assertEqual(res_val_direct, ref_val)
+        self.assertEqual(gdp_year, ref_year)
+        self.assertEqual(gdp_val, ref_val)
+        self.assertEqual(gdp_val_direct, ref_val)
 
 
     def test_wb_esp_1950_pass(self):
         """Test world_bank function Sint Maarten."""
         ref_year = 1950
-        res_year, res_val = world_bank('ESP', ref_year, 'NY.GDP.MKTP.CD')
+        wb_year, wb_val = world_bank('ESP', ref_year, 'NY.GDP.MKTP.CD')
 
         ref_year = 1960
         ref_val = 12072126075.397
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(wb_year, ref_year)
+        self.assertEqual(wb_val, ref_val)
 
 class TestWealth2GDP(unittest.TestCase):
     """Test Wealth to GDP factor extraction"""
     def test_nfw_SUR_pass(self):
         """Test non-financial wealth-to-gdp factor with Suriname."""
-        res_year, res_val = wealth2gdp('SUR')
+        w2g_year, w2g_val = wealth2gdp('SUR')
 
         ref_year = 2016
         ref_val = 0.73656
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(w2g_year, ref_year)
+        self.assertEqual(w2g_val, ref_val)
 
     def test_nfw_BEL_pass(self):
         """Test total wealth-to-gdp factor with Belgium."""
-        res_year, res_val = wealth2gdp('BEL', False)
+        w2g_year, w2g_val = wealth2gdp('BEL', False)
 
         ref_year = 2016
         ref_val = 4.88758
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(w2g_year, ref_year)
+        self.assertEqual(w2g_val, ref_val)
 
     def test_nfw_LBY_pass(self):
         """Test missing factor with Libya."""
-        _, res_val = wealth2gdp('LBY')
+        _, w2g_val = wealth2gdp('LBY')
 
-        self.assertTrue(np.isnan(res_val))
+        self.assertTrue(np.isnan(w2g_val))
 
 class TestWBWealthAccount(unittest.TestCase):
     """Test Wealth Indicator extraction from World Bank provided CSV"""
     def test_pca_DEU_2010_pass(self):
         """Test Processed Capital value Germany 2010."""
         ref_year = 2010
         cntry_iso = 'DEU'
-        res_year, res_val, q = world_bank_wealth_account(cntry_iso, ref_year, no_land=0)
-        res_year_noland, res_val_noland, q = world_bank_wealth_account(cntry_iso, ref_year,
+        wb_year, wb_val, q = world_bank_wealth_account(cntry_iso, ref_year, no_land=0)
+        wb_year_noland, wb_val_noland, q = world_bank_wealth_account(cntry_iso, ref_year,
                                                                        no_land=1)
         ref_val = [17675048450284.9, 19767982562092.2]  # second value as updated by worldbank on
                                                         # October 27 2021
         ref_val_noland = [14254071330874.9, 15941921421042.1]  # dito
-        self.assertEqual(res_year, ref_year)
+        self.assertEqual(wb_year, ref_year)
         self.assertEqual(q, 1)
-        self.assertIn(res_val, ref_val)
-        self.assertEqual(res_year_noland, ref_year)
-        self.assertIn(res_val_noland, ref_val_noland)
+        self.assertIn(wb_val, ref_val)
+        self.assertEqual(wb_year_noland, ref_year)
+        self.assertIn(wb_val_noland, ref_val_noland)
 
     def test_pca_CHE_2008_pass(self):
         """Test Prcoessed Capital per capita Switzerland 2008 (interp.)."""
         ref_year = 2008
         cntry_iso = 'CHE'
         var_name = 'NW.PCA.PC'
-        res_year, res_val, _ = world_bank_wealth_account(cntry_iso, ref_year,
+        wb_year, wb_val, _ = world_bank_wealth_account(cntry_iso, ref_year,
                                                          variable_name=var_name, no_land=0)
         ref_val = [328398.7,  # values sporadically updated by worldbank
                    369081.0]  # <- October 27 2021
-        self.assertEqual(res_year, ref_year)
-        self.assertIn(res_val, ref_val)
+        self.assertEqual(wb_year, ref_year)
+        self.assertIn(wb_val, ref_val)
 
     def test_tow_IND_1985_pass(self):
         """Test Total Wealth value India 1985 (outside year range)."""
         ref_year = 1985
         cntry_iso = 'IND'
         var_name = 'NW.TOW.TO'
-        res_year, res_val, _ = world_bank_wealth_account(cntry_iso, ref_year,
+        wb_year, wb_val, _ = world_bank_wealth_account(cntry_iso, ref_year,
                                                          variable_name=var_name)
         ref_val = [5415188681934.5,  # values sporadically updated by worldbank
                    5861193808779.6,  # <- October 27 2021
-                   5861186556152.8]  # <- June 29 2023
-        self.assertEqual(res_year, ref_year)
-        self.assertIn(res_val, ref_val)
+                   5861186556152.8,  # <- June 29 2023
+                   5861186367245.2,  # <- December 20 2023
+                   ]
+        self.assertEqual(wb_year, ref_year)
+        self.assertIn(wb_val, ref_val)
 
     def test_pca_CUB_2015_pass(self):
         """Test Processed Capital value Cuba 2015 (missing value)."""
         ref_year = 2015
         cntry_iso = 'CUB'
-        res_year, res_val, q = world_bank_wealth_account(cntry_iso, ref_year, no_land=1)
-        ref_val = 108675762920.0
+        wb_year, wb_val, q = world_bank_wealth_account(cntry_iso, ref_year, no_land=1)
+        ref_val = [108675762920.0,  # values sporadically updated by worldbank
+                   108675513472.0,  # <- Dezember 20 2023
+                   ]
         self.assertEqual(q, 0)
-        self.assertEqual(res_year, ref_year)
-        self.assertEqual(res_val, ref_val)
+        self.assertEqual(wb_year, ref_year)
+        self.assertIn(wb_val, ref_val)
 
 # Execute Tests
 if __name__ == "__main__":