extend existing unit test for Tabular.set_meta

to actually check set metadata values

test/unit/data/datatypes/test_tabular.py

@@ -15,3 +15,10 @@ def test_tabular_set_meta_large_file():
         dataset = MockDataset(id=1)
         dataset.set_file_name(test_file.name)
         Tabular().set_meta(dataset)  # type: ignore [arg-type]
+        # data and comment lines are not stored if more than MAX_DATA_LINES
+        assert dataset.metadata.data_lines is None
+        assert dataset.metadata.comment_lines is None
+        assert dataset.metadata.column_types == ["str", "str"]
+        assert dataset.metadata.columns == 2
+        assert dataset.metadata.delimiter == "\t"
+        assert not hasattr(dataset.metadata, "column_names")

test/unit/data/datatypes/util.py

@@ -5,6 +5,7 @@ from contextlib import contextmanager
 from typing import Optional
 
 from galaxy.datatypes.sniff import get_test_fname
+from galaxy.util.bunch import Bunch
 from galaxy.util.hash_util import md5_hash_file
 
 
@@ -20,7 +21,7 @@ class MockDatasetDataset:
         self.file_name_ = file_name
 
 
-class MockMetadata:
+class MockMetadata(Bunch):
     file_name_: Optional[str] = None
 
     def get_file_name(self, sync_cache=True):