chore: import upstream snapshot with attribution

tests/transformers_utils/processors/test_pixtral.py

@@ -0,0 +1,65 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import pytest
+import transformers.image_utils
+from PIL import Image
+
+from vllm.transformers_utils.processors.pixtral import MistralCommonImageProcessor
+
+
+@pytest.fixture(scope="module")
+def image_processor() -> MistralCommonImageProcessor:
+    return MistralCommonImageProcessor(mm_encoder=None)
+
+
+def test_fetch_images_passes_through_decoded_image(
+    image_processor: MistralCommonImageProcessor,
+):
+    image = Image.new("RGB", (4, 4))
+    result = image_processor.fetch_images(image)
+    assert result is image
+
+
+def test_fetch_images_recurses_over_list(
+    image_processor: MistralCommonImageProcessor,
+):
+    a = Image.new("RGB", (4, 4))
+    b = Image.new("RGB", (8, 8))
+    result = image_processor.fetch_images([a, b])
+    assert isinstance(result, list)
+    assert len(result) == 2
+    assert result[0] is a
+    assert result[1] is b
+
+
+def test_fetch_images_recurses_over_nested_list(
+    image_processor: MistralCommonImageProcessor,
+):
+    a = Image.new("RGB", (4, 4))
+    b = Image.new("RGB", (8, 8))
+    result = image_processor.fetch_images([[a], [b]])
+    assert result == [[a], [b]]
+
+
+def test_fetch_images_str_delegates_to_load_image(
+    monkeypatch, image_processor: MistralCommonImageProcessor
+):
+    sentinel = Image.new("RGB", (2, 2))
+    received: dict[str, object] = {}
+
+    def fake_load_image(path):
+        received["path"] = path
+        return sentinel
+
+    monkeypatch.setattr(transformers.image_utils, "load_image", fake_load_image)
+
+    result = image_processor.fetch_images("/tmp/fake.png")
+    assert result is sentinel
+    assert received["path"] == "/tmp/fake.png"
+
+
+def test_fetch_images_rejects_unsupported_type(
+    image_processor: MistralCommonImageProcessor,
+):
+    with pytest.raises(TypeError, match="only a single or a list"):
+        image_processor.fetch_images(42)