Update configuration and test structure for improved clarity and functionality

- Modified `.gitignore` to include test fixture data while excluding test results.
- Updated `config.yaml` to change the model from 'yolo11m.yaml' to 'yolo26m.pt'.
- Enhanced `.cursor/rules/coderule.mdc` with additional guidelines for test environment consistency and infrastructure handling.
- Revised autopilot state management in `_docs/_autopilot_state.md` to reflect current progress and tasks.
- Removed outdated augmentation tests and adjusted dataset formation tests to align with the new structure.

These changes streamline the configuration and testing processes, ensuring better organization and clarity in the project.

tests/performance/test_augmentation_perf.py

@@ -1,115 +0,0 @@
-import concurrent.futures
-import random
-import shutil
-import time
-from pathlib import Path
-
-import numpy as np
-import pytest
-
-from tests.conftest import apply_constants_patch
-
-
-def _patch_augmentation_paths(monkeypatch, base: Path):
-    apply_constants_patch(monkeypatch, base)
-
-
-def _augment_annotation_with_total(monkeypatch):
-    import augmentation as aug
-
-    orig = aug.Augmentator.augment_annotation
-
-    def wrapped(self, image_file):
-        self.total_to_process = self.total_images_to_process
-        return orig(self, image_file)
-
-    monkeypatch.setattr(aug.Augmentator, "augment_annotation", wrapped)
-
-
-def _seed():
-    random.seed(42)
-    np.random.seed(42)
-
-
-@pytest.mark.performance
-def test_pt_aug_01_throughput_ten_images_sixty_seconds(
-    tmp_path, monkeypatch, sample_images_labels
-):
-    # Arrange
-    _patch_augmentation_paths(monkeypatch, tmp_path)
-    _augment_annotation_with_total(monkeypatch)
-    _seed()
-    import constants as c
-    from augmentation import Augmentator
-
-    img_dir = Path(c.config.data_images_dir)
-    lbl_dir = Path(c.config.data_labels_dir)
-    img_dir.mkdir(parents=True, exist_ok=True)
-    lbl_dir.mkdir(parents=True, exist_ok=True)
-    src_img, src_lbl = sample_images_labels(10)
-    for p in src_img.glob("*.jpg"):
-        shutil.copy2(p, img_dir / p.name)
-    for p in src_lbl.glob("*.txt"):
-        shutil.copy2(p, lbl_dir / p.name)
-    # Act
-    t0 = time.perf_counter()
-    Augmentator().augment_annotations()
-    elapsed = time.perf_counter() - t0
-    # Assert
-    assert elapsed <= 60.0
-
-
-@pytest.mark.performance
-def test_pt_aug_02_parallel_at_least_one_point_five_x_faster(
-    tmp_path, monkeypatch, sample_images_labels
-):
-    # Arrange
-    _patch_augmentation_paths(monkeypatch, tmp_path)
-    _augment_annotation_with_total(monkeypatch)
-    _seed()
-    import constants as c
-    from augmentation import Augmentator
-
-    img_dir = Path(c.config.data_images_dir)
-    lbl_dir = Path(c.config.data_labels_dir)
-    proc_dir = Path(c.config.processed_dir)
-    img_dir.mkdir(parents=True, exist_ok=True)
-    lbl_dir.mkdir(parents=True, exist_ok=True)
-    src_img, src_lbl = sample_images_labels(10)
-    for p in src_img.glob("*.jpg"):
-        shutil.copy2(p, img_dir / p.name)
-    for p in src_lbl.glob("*.txt"):
-        shutil.copy2(p, lbl_dir / p.name)
-    Path(c.config.processed_images_dir).mkdir(parents=True, exist_ok=True)
-    Path(c.config.processed_labels_dir).mkdir(parents=True, exist_ok=True)
-    names = sorted(p.name for p in img_dir.glob("*.jpg"))
-
-    class _E:
-        __slots__ = ("name",)
-
-        def __init__(self, name):
-            self.name = name
-
-    entries = [_E(n) for n in names]
-
-    # Act
-    aug_seq = Augmentator()
-    aug_seq.total_images_to_process = len(entries)
-    t0 = time.perf_counter()
-    for e in entries:
-        aug_seq.augment_annotation(e)
-    seq_elapsed = time.perf_counter() - t0
-
-    shutil.rmtree(proc_dir)
-    Path(c.config.processed_images_dir).mkdir(parents=True, exist_ok=True)
-    Path(c.config.processed_labels_dir).mkdir(parents=True, exist_ok=True)
-
-    aug_par = Augmentator()
-    aug_par.total_images_to_process = len(entries)
-    t0 = time.perf_counter()
-    with concurrent.futures.ThreadPoolExecutor() as ex:
-        list(ex.map(aug_par.augment_annotation, entries))
-    par_elapsed = time.perf_counter() - t0
-
-    # Assert
-    assert seq_elapsed >= par_elapsed * 1.5