Fix `IS_TMP_WRITEABLE` order of operations (#16294)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

tests/__init__.py

@@ -1,13 +1,13 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-from ultralytics.utils import ASSETS, ROOT, WEIGHTS_DIR, checks, is_dir_writeable
+from ultralytics.utils import ASSETS, ROOT, WEIGHTS_DIR, checks
 
 # Constants used in tests
 MODEL = WEIGHTS_DIR / "path with spaces" / "yolov8n.pt"  # test spaces in path
 CFG = "yolov8n.yaml"
 SOURCE = ASSETS / "bus.jpg"
+SOURCES_LIST = [ASSETS / "bus.jpg", ASSETS, ASSETS / "*", ASSETS / "**/*.jpg"]
 TMP = (ROOT / "../tests/tmp").resolve()  # temp directory for test files
-IS_TMP_WRITEABLE = is_dir_writeable(TMP)
 CUDA_IS_AVAILABLE = checks.cuda_is_available()
 CUDA_DEVICE_COUNT = checks.cuda_device_count()
 
@@ -15,6 +15,7 @@ __all__ = (
     "MODEL",
     "CFG",
     "SOURCE",
+    "SOURCES_LIST",
     "TMP",
     "IS_TMP_WRITEABLE",
     "CUDA_IS_AVAILABLE",

tests/test_python.py

@@ -1,6 +1,7 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
 import contextlib
+import csv
 import urllib
 from copy import copy
 from pathlib import Path
@@ -12,7 +13,7 @@ import torch
 import yaml
 from PIL import Image
 
-from tests import CFG, IS_TMP_WRITEABLE, MODEL, SOURCE, TMP
+from tests import CFG, MODEL, SOURCE, SOURCES_LIST, TMP
 from ultralytics import RTDETR, YOLO
 from ultralytics.cfg import MODELS, TASK2DATA, TASKS
 from ultralytics.data.build import load_inference_source
@@ -26,11 +27,14 @@ from ultralytics.utils import (
     WEIGHTS_DIR,
     WINDOWS,
     checks,
+    is_dir_writeable,
     is_github_action_running,
 )
 from ultralytics.utils.downloads import download
 from ultralytics.utils.torch_utils import TORCH_1_9
 
+IS_TMP_WRITEABLE = is_dir_writeable(TMP)  # WARNING: must be run once tests start as TMP does not exist on tests/init
+
 
 def test_model_forward():
     """Test the forward pass of the YOLO model."""
@@ -70,11 +74,37 @@ def test_model_profile():
 @pytest.mark.skipif(not IS_TMP_WRITEABLE, reason="directory is not writeable")
 def test_predict_txt():
     """Tests YOLO predictions with file, directory, and pattern sources listed in a text file."""
-    txt_file = TMP / "sources.txt"
-    with open(txt_file, "w") as f:
-        for x in [ASSETS / "bus.jpg", ASSETS, ASSETS / "*", ASSETS / "**/*.jpg"]:
-            f.write(f"{x}\n")
-    _ = YOLO(MODEL)(source=txt_file, imgsz=32)
+    file = TMP / "sources_multi_row.txt"
+    with open(file, "w") as f:
+        for src in SOURCES_LIST:
+            f.write(f"{src}\n")
+    results = YOLO(MODEL)(source=file, imgsz=32)
+    assert len(results) == 7  # 1 + 2 + 2 + 2 = 7 images
+
+
+@pytest.mark.skipif(True, reason="disabled for testing")
+@pytest.mark.skipif(not IS_TMP_WRITEABLE, reason="directory is not writeable")
+def test_predict_csv_multi_row():
+    """Tests YOLO predictions with sources listed in multiple rows of a CSV file."""
+    file = TMP / "sources_multi_row.csv"
+    with open(file, "w", newline="") as f:
+        writer = csv.writer(f)
+        writer.writerow(["source"])
+        writer.writerows([[src] for src in SOURCES_LIST])
+    results = YOLO(MODEL)(source=file, imgsz=32)
+    assert len(results) == 7  # 1 + 2 + 2 + 2 = 7 images
+
+
+@pytest.mark.skipif(True, reason="disabled for testing")
+@pytest.mark.skipif(not IS_TMP_WRITEABLE, reason="directory is not writeable")
+def test_predict_csv_single_row():
+    """Tests YOLO predictions with sources listed in a single row of a CSV file."""
+    file = TMP / "sources_single_row.csv"
+    with open(file, "w", newline="") as f:
+        writer = csv.writer(f)
+        writer.writerow(SOURCES_LIST)
+    results = YOLO(MODEL)(source=file, imgsz=32)
+    assert len(results) == 7  # 1 + 2 + 2 + 2 = 7 images
 
 
 @pytest.mark.parametrize("model_name", MODELS)