Remove unit tests for Google FileSearchTool parsing

Integration tests will cover this logic automatically as part of
the full message history snapshots, per code review feedback.

Author: gorkachea

tests/models/test_google.py

@@ -3290,55 +3290,3 @@ async def test_google_model_file_search_tool_stream(allow_model_requests: None,
         os.unlink(test_file_path)
         if store is not None and store.name is not None:
             await client.aio.file_search_stores.delete(name=store.name, config={'force': True})
-
-
-# Unit tests below validate the FileSearchTool parsing logic.
-
-
-def test_map_file_search_grounding_metadata():
-    """Test that _map_file_search_grounding_metadata correctly creates builtin tool parts."""
-    from google.genai.types import GroundingMetadata
-
-    from pydantic_ai.models.google import _map_file_search_grounding_metadata  # type: ignore[reportPrivateUsage]
-
-    # Test with retrieval queries
-    grounding_metadata = GroundingMetadata(
-        retrieval_queries=['test query 1', 'test query 2'],
-        grounding_chunks=[],
-    )
-
-    call_part, return_part = _map_file_search_grounding_metadata(grounding_metadata, 'google-gla')
-
-    assert call_part is not None
-    assert return_part is not None
-    assert call_part.tool_name == 'file_search'
-    assert call_part.args == {'queries': ['test query 1', 'test query 2']}
-    assert call_part.provider_name == 'google-gla'
-    assert call_part.tool_call_id == return_part.tool_call_id
-    assert return_part.tool_name == 'file_search'
-    assert return_part.provider_name == 'google-gla'
-
-
-def test_map_file_search_grounding_metadata_no_queries():
-    """Test that _map_file_search_grounding_metadata returns None when no retrieval queries."""
-    from google.genai.types import GroundingMetadata
-
-    from pydantic_ai.models.google import _map_file_search_grounding_metadata  # type: ignore[reportPrivateUsage]
-
-    # Test with no retrieval queries
-    grounding_metadata = GroundingMetadata(grounding_chunks=[])
-
-    call_part, return_part = _map_file_search_grounding_metadata(grounding_metadata, 'google-gla')
-
-    assert call_part is None
-    assert return_part is None
-
-
-def test_map_file_search_grounding_metadata_none():
-    """Test that _map_file_search_grounding_metadata handles None metadata."""
-    from pydantic_ai.models.google import _map_file_search_grounding_metadata  # type: ignore[reportPrivateUsage]
-
-    call_part, return_part = _map_file_search_grounding_metadata(None, 'google-gla')
-
-    assert call_part is None
-    assert return_part is None