remove (assert_)is_single_datapoint methods and tests

mad-lab-fau · Sep 7, 2023 · 10810c4 · 10810c4
1 parent e2aa0bc
commit 10810c4
Show file tree

Hide file tree

Showing 2 changed files with 0 additions and 50 deletions.
diff --git a/tests/test_dataset.py b/tests/test_dataset.py
@@ -413,31 +413,6 @@ def test_assert_is_single_error(self):
 
         assert "test_name" in str(e)
 
-    def test_is_single_datapoint(self):
-        index = _create_valid_index(
-            {"patient_1": {"a": ["test_1"], "b": ["1"]}}, columns_names=["patients", "tests", "extra with space"]
-        )
-        ds = Dataset(subset_index=index)
-        assert ds.is_single_datapoint() is True
-        assert ds.groupby(["patients"]).is_single_datapoint() is True
-        assert ds.groupby(["patients", "tests"]).is_single_datapoint() is True
-
-    @pytest.mark.parametrize(
-        "groupby_cols", (None, "tests", ["patients", "tests"], ["patients", "tests", "extra with space"])
-    )
-    def test_assert_is_single_datapoint_error(self, groupby_cols):
-        index = _create_valid_index(
-            {
-                "patient_1": {"a": ["test_1"], "b": ["0", "1"]},
-                "patient_2": {"a": ["test_1"], "b": ["0", "1"]},
-            },
-            columns_names=["patients", "tests", "extra with space"],
-        )
-        ds = Dataset(subset_index=index, groupby_cols=groupby_cols)
-        with pytest.raises(ValueError) as e:
-            ds.assert_is_single_datapoint("test_datapoint_name")
-        assert "test_datapoint_name" in str(e)
-
     def test_create_index_call(self):
         with pytest.raises(NotImplementedError):
             _ = Dataset().index

diff --git a/tpcp/_dataset.py b/tpcp/_dataset.py
@@ -370,31 +370,6 @@ def assert_is_single(self, groupby_cols: Optional[Union[str, List[str]]], proper
                 f"is only a single combination of the columns {groupby_cols} left in a data subset,"
             )
 
-    def is_single_datapoint(self) -> bool:
-        """Return True if index contains only one row.
-
-        This is independent of the groupby settings.
-        This means it is equivalent to `is_single_group` if no grouping is given.
-        """
-        return self.is_single(None)
-
-    def assert_is_single_datapoint(self, property_name) -> None:
-        """Raise error if index does contain more than one row.
-
-        Parameters
-        ----------
-        property_name
-            Name of the property this check is used in.
-            Used to format the error message.
-
-        """
-        if not self.is_single_datapoint():
-            raise ValueError(
-                f"The attribute `{property_name}` of dataset {self.__class__.__name__} can only be accessed if there "
-                f"is only a single row (i.e. single datapoint) left in the data subset index independent of the groupby"
-                f"level."
-            )
-
     def assert_is_single_group(self, property_name) -> None:
         """Raise error if index does contain more than one group/row.