change dataclassification to data in enum test

Signed-off-by: [email protected] <[email protected]>

Author: lucamrgs

cyclonedx/model/service.py

@@ -61,7 +61,7 @@ def __init__(
         endpoints: Optional[Iterable[XsUri]] = None,
         authenticated: Optional[bool] = None,
         x_trust_boundary: Optional[bool] = None,
-        data: Optional[Iterable[DataClassification]] = None,
+        data: Optional[Iterable['Data']] = None,
         licenses: Optional[Iterable[License]] = None,
         external_references: Optional[Iterable[ExternalReference]] = None,
         properties: Optional[Iterable[Property]] = None,
@@ -626,12 +626,12 @@ def destination(self, destination: Optional[Iterable[Union[BomRef, XsUri]]]) ->
         self._destination = destination
 
     def __eq__(self, other: object) -> bool:
-        if isinstance(other, DataClassification):
+        if isinstance(other, Data):
             return hash(other) == hash(self)
         return False
 
     def __lt__(self, other: object) -> bool:
-        if isinstance(other, DataClassification):
+        if isinstance(other, Data):
             return _ComparableTuple((
                 self.flow, self.classification
             )) < _ComparableTuple((

tests/test_enums.py

@@ -34,7 +34,7 @@
 from cyclonedx.model.component import Component, Patch, Pedigree
 from cyclonedx.model.issue import IssueType
 from cyclonedx.model.license import DisjunctiveLicense
-from cyclonedx.model.service import DataClassification, Service
+from cyclonedx.model.service import Data, Service
 from cyclonedx.model.vulnerability import (
     BomTarget,
     BomTargetVersionRange,
@@ -168,7 +168,8 @@ def test_knows_value(self, value: str) -> None:
     @patch('cyclonedx.model.ThisTool._version', 'TESTING')
     def test_cases_render_valid(self, of: OutputFormat, sv: SchemaVersion, *_: Any, **__: Any) -> None:
         bom = _make_bom(services=[Service(name='dummy', bom_ref='dummy', data=(
-            DataClassification(flow=df, classification=df.name)
+            Data(flow=df, classification=df.name)
+            # DataClassification(flow=df, classification=df.name)
             for df in DataFlow
         ))])
         super()._test_cases_render(bom, of, sv)