change series comparison to use assert_series_equal

- allow small floating point differences
- configurable through class variables SERIES_EQUALITY_ABSOLUTE_TOLERANCE (default 1e-10) and SERIES_EQUALITY_RELATIVE_TOLERANCE (default 0.0)

pastastore/base.py

@@ -15,6 +15,7 @@
 import pastas as ps
 from numpy import isin
 from packaging.version import parse as parse_version
+from pandas.testing import assert_series_equal
 from pastas.io.pas import PastasEncoder
 from tqdm.auto import tqdm
 
@@ -30,7 +31,7 @@ class BaseConnector(ABC):
 
     Class holds base logic for dealing with time series and Pastas Models. Create your
     own Connector to a data source by writing a a class that inherits from this
-    BaseConnector. Your class has to override each abstractmethod and abstractproperty.
+    BaseConnector. Your class has to override each abstractmethod and property.
     """
 
     _default_library_names = [
@@ -47,6 +48,10 @@ class BaseConnector(ABC):
     # True for pastas>=0.23.0 and False for pastas<=0.22.0
     USE_PASTAS_VALIDATE_SERIES = False if PASTAS_LEQ_022 else True
 
+    # set series equality comparison settings (using assert_series_equal)
+    SERIES_EQUALITY_ABSOLUTE_TOLERANCE = 1e-10
+    SERIES_EQUALITY_RELATIVE_TOLERANCE = 0.0
+
     def __repr__(self):
         """Representation string of the object."""
         return (
@@ -1665,11 +1670,18 @@ def _check_oseries_in_store(self, ml: Union[ps.Model, dict]):
                 so = ml.oseries.series_original
             else:
                 so = ml.oseries._series_original
-            if not so.dropna().equals(s_org):
+            try:
+                assert_series_equal(
+                    so.dropna(),
+                    s_org,
+                    atol=self.SERIES_EQUALITY_ABSOLUTE_TOLERANCE,
+                    rtol=self.SERIES_EQUALITY_RELATIVE_TOLERANCE,
+                )
+            except AssertionError as e:
                 raise ValueError(
                     f"Cannot add model because model oseries '{name}'"
-                    " is different from stored oseries!"
-                )
+                    " is different from stored oseries! See stacktrace for differences."
+                ) from e
 
     def _check_stresses_in_store(self, ml: Union[ps.Model, dict]):
         """Check if stresses time series are contained in PastaStore (internal method).
@@ -1699,11 +1711,19 @@ def _check_stresses_in_store(self, ml: Union[ps.Model, dict]):
                             so = s.series_original
                         else:
                             so = s._series_original
-                        if not so.equals(s_org):
+                        try:
+                            assert_series_equal(
+                                so,
+                                s_org,
+                                atol=self.SERIES_EQUALITY_ABSOLUTE_TOLERANCE,
+                                rtol=self.SERIES_EQUALITY_RELATIVE_TOLERANCE,
+                            )
+                        except AssertionError as e:
                             raise ValueError(
                                 f"Cannot add model because model stress "
-                                f"'{s.name}' is different from stored stress!"
-                            )
+                                f"'{s.name}' is different from stored stress! "
+                                "See stacktrace for differences."
+                            ) from e
         elif isinstance(ml, dict):
             for sm in ml["stressmodels"].values():
                 classkey = "stressmodel" if PASTAS_LEQ_022 else "class"