diff --git a/.gitignore b/.gitignore
index 0a1f91b24..1a50fb9a7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
+.coverage
 .debug
 .env
 .logs
diff --git a/ai_diffusion/connection.py b/ai_diffusion/connection.py
index ddbcc7453..b92fb0448 100644
--- a/ai_diffusion/connection.py
+++ b/ai_diffusion/connection.py
@@ -120,9 +120,6 @@ async def _handle_messages(self):
                             self.error = ""
                     else:
                         self.message_received.emit(msg)
-                        # model = self._find_model(msg.job_id)
-                        # if model is not None:
-                        #     model.handle_message(msg)
                 except asyncio.CancelledError:
                     break
                 except Exception as e:
@@ -131,14 +128,6 @@ async def _handle_messages(self):
         except asyncio.CancelledError:
             pass  # shutdown
 
-    # def _report_error(self, message: str):
-    #     self.error = message
-    #     self.error_reported.emit(message)
-
-    # def _clear_error(self):
-    #     self.error = None
-    #     self.error_reported.emit("")
-
 
 def apply_performance_preset(settings: Settings, device: DeviceInfo):
     if settings.performance_preset is PerformancePreset.auto:
diff --git a/ai_diffusion/document.py b/ai_diffusion/document.py
index 5bd379ab9..18f5f71bf 100644
--- a/ai_diffusion/document.py
+++ b/ai_diffusion/document.py
@@ -163,11 +163,6 @@ def create_mask_from_layer(self, padding: float, is_inpaint: bool):
         data: QByteArray = layer.projectionPixelData(*mask_bounds)
         assert data is not None and data.size() >= mask_bounds.extent.pixel_count
         mask = Mask(mask_bounds, data)
-
-        log.debug(
-            f"Using experimental selection mask {self.active_layer.name()}, mask bounds:"
-            f" {mask.bounds}, image bounds: {image_bounds}"
-        )
         return mask, image_bounds, None
 
     def get_image(
diff --git a/ai_diffusion/util.py b/ai_diffusion/util.py
index 77d1e7ecd..91a5f1a7b 100644
--- a/ai_diffusion/util.py
+++ b/ai_diffusion/util.py
@@ -6,7 +6,7 @@
 import logging
 import logging.handlers
 import zipfile
-from typing import Optional, TypeVar
+from typing import Optional, Sequence, TypeVar
 
 T = TypeVar("T")
 
@@ -57,7 +57,7 @@ def encode_json(obj):
     raise TypeError(f"Object of type {obj.__class__.__name__} is not JSON serializable")
 
 
-def get_path_dict(paths: list[str | Path]) -> dict:
+def get_path_dict(paths: Sequence[str | Path]) -> dict:
     """Builds a tree like structure out of a list of paths"""
 
     def _recurse(dic: dict, chain: tuple[str, ...] | list[str]):
diff --git a/tests/test_image.py b/tests/test_image.py
index 604eca160..0687709f0 100644
--- a/tests/test_image.py
+++ b/tests/test_image.py
@@ -118,6 +118,21 @@ def test_clamp_bounds(input, expected):
     assert result == expected
 
 
+@pytest.mark.parametrize(
+    "input,bounds,expected",
+    [
+        (Bounds(0, 0, 1, 2), Bounds(0, 0, 2, 2), Bounds(0, 0, 1, 2)),
+        (Bounds(0, 0, 1, 2), Bounds(0, 0, 1, 1), Bounds(0, 0, 1, 1)),
+        (Bounds(2, 4, 1, 2), Bounds(1, 4, 2, 2), Bounds(2, 4, 1, 2)),
+        (Bounds(2, 4, 7, 9), Bounds(1, 4, 2, 2), Bounds(2, 4, 1, 2)),
+        (Bounds(-1, 5, 3, 3), Bounds(0, 6, 5, 2), Bounds(0, 6, 2, 2)),
+    ],
+)
+def test_restrict_bounds(input: Bounds, bounds: Bounds, expected: Bounds):
+    result = Bounds.restrict(input, bounds)
+    assert result == expected
+
+
 @pytest.mark.parametrize(
     "input,target,expected",
     [
diff --git a/tests/test_util.py b/tests/test_util.py
index deaa8f3c2..8754fb1fc 100644
--- a/tests/test_util.py
+++ b/tests/test_util.py
@@ -1,5 +1,7 @@
 import pytest
-from ai_diffusion.util import batched
+from tempfile import TemporaryDirectory
+from pathlib import Path
+from ai_diffusion.util import batched, get_path_dict, ZipFile
 
 
 def test_batched():
@@ -7,3 +9,39 @@ def test_batched():
     n = 3
     expected_output = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]
     assert list(batched(iterable, n)) == expected_output
+
+
+def test_path_dict():
+    paths = [
+        "f1.txt",
+        "f2.txxt",
+        "d1/f1.txt",
+        "d2/f1.txt",
+        "d3/d4/d5/f1.txt",
+        "d1/f2.txt",
+        "w1\\f1.txt",
+        "w1\\noext",
+        "w1\\w2\\.noext",
+    ]
+    expected = {
+        "f1.txt": None,
+        "f2.txxt": None,
+        "d1": {"f1.txt": None, "f2.txt": None},
+        "d2": {"f1.txt": None},
+        "d3": {"d4": {"d5": {"f1.txt": None}}},
+        "w1": {"f1.txt": None, "noext": None, "w2": {".noext": None}},
+    }
+    assert get_path_dict(paths) == expected
+
+
+def test_long_path_zip_file():
+    with TemporaryDirectory() as dir:
+        file = Path(dir) / "test.zip"
+        with ZipFile(file, "w") as zip:
+            zip.writestr("test.txt", "test")
+            zip.writestr("test2.txt", "test2")
+        long_path = Path(dir) / ("l" + "o" * 150 + "ng") / ("l" + "o" * 150 + "ng")
+        with ZipFile(file, "r") as zip:
+            zip.extractall(long_path)
+        assert (long_path / "test.txt").read_text() == "test"
+        assert (long_path / "test2.txt").read_text() == "test2"