fix(types): resolve pre-existing basedpyright errors in tests

Fix ~790 basedpyright errors across the test suite:
- Type stub subclasses of real production classes with super().__init__()
- Add missing generic type arguments and Dict[str, Any] annotations
- Add None guards before subscript/member access
- Adapt tests to production API changes (removed dead handlers,
  PersistentModelCache.get_default, _i18n_filter_added location)

tests/nodes/test_nunchaku_lora.py

@@ -31,7 +31,7 @@ class _DummyModel:
         return self
 
 def test_nunchaku_load_lora_legacy_fallback(monkeypatch, caplog):
-    import folder_paths
+    import folder_paths  # pyright: ignore[reportMissingImports]
     import copy
     
     dummy_model = _DummyModel()
@@ -59,7 +59,7 @@ def test_nunchaku_load_lora_legacy_fallback(monkeypatch, caplog):
     assert result_model.model.diffusion_model.loras[0][1] == 0.8
 
 def test_nunchaku_load_lora_new_logic(monkeypatch):
-    import folder_paths
+    import folder_paths  # pyright: ignore[reportMissingImports]
     import os
     
     dummy_model = _DummyModel()

tests/nodes/test_prompt_text_wildcards.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+from typing import Any, cast
+
 from py.nodes.prompt import PromptLM
 from py.nodes.text import TextLM
 
@@ -49,7 +51,7 @@ def test_prompt_lm_input_types_expose_input_only_seed():
 
     assert seed_type == "INT"
     assert seed_options["forceInput"] is True
-    assert "wildcard generation" in seed_options["tooltip"]
+    assert "wildcard generation" in cast(Any, seed_options)["tooltip"]
 
 
 def test_text_lm_input_types_expose_input_only_seed():
@@ -58,7 +60,7 @@ def test_text_lm_input_types_expose_input_only_seed():
 
     assert seed_type == "INT"
     assert seed_options["forceInput"] is True
-    assert "wildcard generation" in seed_options["tooltip"]
+    assert "wildcard generation" in cast(Any, seed_options)["tooltip"]
 
 
 def test_text_lm_is_changed_forces_rerun_without_seed_when_text_is_dynamic():

tests/nodes/test_save_image.py

@@ -1,8 +1,9 @@
 import json
 import os
+from typing import Any, cast
 
 import numpy as np
-import piexif
+import piexif  # pyright: ignore[reportMissingTypeStubs]
 from PIL import Image
 
 from py.services.service_registry import ServiceRegistry
@@ -136,7 +137,8 @@ def test_save_image_skips_jpeg_metadata_when_disabled(monkeypatch, tmp_path):
 
     image_path = tmp_path / "sample_00001_.jpg"
     exif_dict = piexif.load(str(image_path))
-    assert piexif.ExifIFD.UserComment not in exif_dict.get("Exif", {})
+    exif_ifd = exif_dict.get("Exif", {}) or {}
+    assert piexif.ExifIFD.UserComment not in exif_ifd
 
 
 def test_save_image_skips_webp_metadata_when_disabled(monkeypatch, tmp_path):
@@ -154,7 +156,8 @@ def test_save_image_skips_webp_metadata_when_disabled(monkeypatch, tmp_path):
 
     image_path = tmp_path / "sample_00001_.webp"
     exif_dict = piexif.load(str(image_path))
-    assert piexif.ExifIFD.UserComment not in exif_dict.get("Exif", {})
+    exif_ifd = exif_dict.get("Exif", {}) or {}
+    assert piexif.ExifIFD.UserComment not in exif_ifd
 
 
 def test_process_image_returns_passthrough_result_and_ui_images(monkeypatch, tmp_path):
@@ -474,25 +477,34 @@ class TestParameterDefaultConsistency:
         input_types = SaveImageLM.INPUT_TYPES()
         optional = input_types["optional"]
 
-        assert optional["webp_method"][1]["default"] == 6
-        assert SaveImageLM.save_images.__defaults__[4] == 6  # positional: webp_method=6 is at index 4
-        assert SaveImageLM.process_image.__defaults__[6] == 6
+        widget_spec = cast(Any, optional["webp_method"])
+        assert widget_spec[1]["default"] == 6
+        save_defaults = cast(tuple[Any, ...], SaveImageLM.save_images.__defaults__ or ())
+        process_defaults = cast(tuple[Any, ...], SaveImageLM.process_image.__defaults__ or ())
+        assert save_defaults[4] == 6  # positional: webp_method=6 is at index 4
+        assert process_defaults[6] == 6
 
     def test_jpeg_subsampling_defaults_are_consistent(self):
         input_types = SaveImageLM.INPUT_TYPES()
         optional = input_types["optional"]
 
-        assert optional["jpeg_subsampling"][1]["default"] == 0
-        assert SaveImageLM.save_images.__defaults__[5] == 0
-        assert SaveImageLM.process_image.__defaults__[7] == 0
+        widget_spec = cast(Any, optional["jpeg_subsampling"])
+        assert widget_spec[1]["default"] == 0
+        save_defaults = cast(tuple[Any, ...], SaveImageLM.save_images.__defaults__ or ())
+        process_defaults = cast(tuple[Any, ...], SaveImageLM.process_image.__defaults__ or ())
+        assert save_defaults[5] == 0
+        assert process_defaults[7] == 0
 
     def test_add_loras_to_prompt_defaults_are_consistent(self):
         input_types = SaveImageLM.INPUT_TYPES()
         optional = input_types["optional"]
 
-        assert optional["add_loras_to_prompt"][1]["default"] is False
-        assert SaveImageLM.save_images.__defaults__[-1] is False
-        assert SaveImageLM.process_image.__defaults__[-1] is False
+        widget_spec = cast(Any, optional["add_loras_to_prompt"])
+        assert widget_spec[1]["default"] is False
+        save_defaults = cast(tuple[Any, ...], SaveImageLM.save_images.__defaults__ or ())
+        process_defaults = cast(tuple[Any, ...], SaveImageLM.process_image.__defaults__ or ())
+        assert save_defaults[-1] is False
+        assert process_defaults[-1] is False
 
 
 def test_png_does_not_pass_webp_method_or_jpeg_subsampling(monkeypatch, tmp_path):

tests/nodes/test_utils.py

@@ -34,7 +34,7 @@ class _DummyModel:
 
 
 def test_nunchaku_load_lora_skips_missing_lora(monkeypatch, caplog):
-    import folder_paths
+    import folder_paths  # pyright: ignore[reportMissingImports]
 
     dummy_model = _DummyModel()