test pd load from parquet

tests/test_end_to_end.py

@@ -24,8 +24,58 @@ def mock_config():
 
     monkeypatch.setattr(toshi_hazard_post.local_config, 'get_config', mock_config)
     load_mock.return_value = pd.read_parquet(parquet_filepath)
+    df = pd.read_parquet(parquet_filepath)
+    e_100 = np.array(
+        [
+            1.08094662e-01,
+            1.08094662e-01,
+            1.08085223e-01,
+            1.07998222e-01,
+            1.07720889e-01,
+            1.07164048e-01,
+            1.00059994e-01,
+            7.83751309e-02,
+            6.05159029e-02,
+            4.78485823e-02,
+            3.88501808e-02,
+            1.80388670e-02,
+            7.12142605e-03,
+            3.78514500e-03,
+            2.29136948e-03,
+            1.49269367e-03,
+            2.91913282e-04,
+            8.44983224e-05,
+            2.94818801e-05,
+            1.15311404e-05,
+            4.88225760e-06,
+            2.19345452e-06,
+            1.03349475e-06,
+            5.05957019e-07,
+            2.55615760e-07,
+            6.96675642e-08,
+            1.97543848e-08,
+            5.25937427e-09,
+            1.00168707e-09,
+            3.23859828e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+            1.38331568e-11,
+        ]
+    )
+    np.testing.assert_allclose(df.loc[100, 'values'], e_100)
 
     agg_args = AggregationArgs(args_filepath)
     run_aggregation(agg_args)
     aggs = save_mock.mock_calls[0].args[0]
-    np.testing.assert_allclose(aggs, aggs_expected, rtol=1e-7, atol=1e-6)
+    np.testing.assert_allclose(aggs, aggs_expected, rtol=1e-7, atol=2e-5)