Update test results directory structure and enhance Docker configurations

- Modified `.gitignore` to reflect the new path for test results.
- Updated `docker-compose.test.yml` to mount the correct test results directory.
- Adjusted `Dockerfile.test` to set the `PYTHONPATH` and ensure test results are saved in the updated location.
- Added `boto3` and `netron` to `requirements-test.txt` to support new functionalities.
- Updated `pytest.ini` to include the new `pythonpath` for test discovery.

These changes streamline the testing process and ensure compatibility with the updated directory structure.

tests/test_dataset_formation.py

@@ -1,6 +1,4 @@
 import shutil
-import sys
-import types
 from os import path as osp
 from pathlib import Path
 
@@ -9,40 +7,6 @@ import pytest
 import constants as c_mod
 
 
-def _stub_train_dependencies():
-    if getattr(_stub_train_dependencies, "_done", False):
-        return
-
-    def add_mod(name):
-        if name in sys.modules:
-            return sys.modules[name]
-        m = types.ModuleType(name)
-        sys.modules[name] = m
-        return m
-
-    ultra = add_mod("ultralytics")
-
-    class YOLO:
-        pass
-
-    ultra.YOLO = YOLO
-
-    def fake_client(*_a, **_k):
-        return types.SimpleNamespace(
-            upload_fileobj=lambda *_a, **_k: None,
-            download_file=lambda *_a, **_k: None,
-        )
-
-    boto = add_mod("boto3")
-    boto.client = fake_client
-    add_mod("netron")
-    add_mod("requests")
-    _stub_train_dependencies._done = True
-
-
-_stub_train_dependencies()
-
-
 def _prepare_form_dataset(
     monkeypatch,
     tmp_path,
@@ -84,6 +48,7 @@ def test_bt_dsf_01_split_ratio_70_20_10(
     fixture_images_dir,
     fixture_labels_dir,
 ):
+    # Arrange
     train, today_ds = _prepare_form_dataset(
         monkeypatch,
         tmp_path,
@@ -93,7 +58,9 @@ def test_bt_dsf_01_split_ratio_70_20_10(
         100,
         set(),
     )
+    # Act
     train.form_dataset()
+    # Assert
     assert _count_jpg(Path(today_ds, "train", "images")) == 70
     assert _count_jpg(Path(today_ds, "valid", "images")) == 20
     assert _count_jpg(Path(today_ds, "test", "images")) == 10
@@ -106,6 +73,7 @@ def test_bt_dsf_02_six_subdirectories(
     fixture_images_dir,
     fixture_labels_dir,
 ):
+    # Arrange
     train, today_ds = _prepare_form_dataset(
         monkeypatch,
         tmp_path,
@@ -115,7 +83,9 @@ def test_bt_dsf_02_six_subdirectories(
         100,
         set(),
     )
+    # Act
     train.form_dataset()
+    # Assert
     base = Path(today_ds)
     assert (base / "train" / "images").is_dir()
     assert (base / "train" / "labels").is_dir()
@@ -132,6 +102,7 @@ def test_bt_dsf_03_total_files_one_hundred(
     fixture_images_dir,
     fixture_labels_dir,
 ):
+    # Arrange
     train, today_ds = _prepare_form_dataset(
         monkeypatch,
         tmp_path,
@@ -141,7 +112,9 @@ def test_bt_dsf_03_total_files_one_hundred(
         100,
         set(),
     )
+    # Act
     train.form_dataset()
+    # Assert
     n = (
         _count_jpg(Path(today_ds, "train", "images"))
         + _count_jpg(Path(today_ds, "valid", "images"))
@@ -157,6 +130,7 @@ def test_bt_dsf_04_corrupted_labels_quarantined(
     fixture_images_dir,
     fixture_labels_dir,
 ):
+    # Arrange
     stems = [p.stem for p in sorted(fixture_images_dir.glob("*.jpg"))[:100]]
     corrupt = set(stems[:5])
     train, today_ds = _prepare_form_dataset(
@@ -168,7 +142,9 @@ def test_bt_dsf_04_corrupted_labels_quarantined(
         100,
         corrupt,
     )
+    # Act
     train.form_dataset()
+    # Assert
     split_total = (
         _count_jpg(Path(today_ds, "train", "images"))
         + _count_jpg(Path(today_ds, "valid", "images"))
@@ -187,6 +163,7 @@ def test_rt_dsf_01_empty_processed_no_crash(
     fixture_images_dir,
     fixture_labels_dir,
 ):
+    # Arrange
     train, today_ds = _prepare_form_dataset(
         monkeypatch,
         tmp_path,
@@ -196,12 +173,15 @@ def test_rt_dsf_01_empty_processed_no_crash(
         0,
         set(),
     )
+    # Act
     train.form_dataset()
+    # Assert
     assert Path(today_ds).is_dir()
 
 
 @pytest.mark.resource_limit
 def test_rl_dsf_01_split_ratios_sum_hundred():
+    # Assert
     import train
 
     assert train.train_set + train.valid_set + train.test_set == 100
@@ -215,6 +195,7 @@ def test_rl_dsf_02_no_filename_duplication_across_splits(
     fixture_images_dir,
     fixture_labels_dir,
 ):
+    # Arrange
     train, today_ds = _prepare_form_dataset(
         monkeypatch,
         tmp_path,
@@ -224,7 +205,9 @@ def test_rl_dsf_02_no_filename_duplication_across_splits(
         100,
         set(),
     )
+    # Act
     train.form_dataset()
+    # Assert
     base = Path(today_ds)
     names = []
     for split in ("train", "valid", "test"):