[refactor] move tests to tests/, add pytest functions and main() entrypoints

- Moved src/tests/ → tests/
- Added test_* functions with assertions to script-style test files
- Added main() to each so IDEs offer it as a separate run target from pytest
- Fixed cupy_test.py: remove spurious x_gpu += x_cpu, fix duplicate xlabel

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tests/test_rbm.py

@@ -0,0 +1,87 @@
+import os.path
+import cv2 as cv
+from argparse import ArgumentParser
+from stack.factory import StackFactory
+from rbm.status import Status
+from stack.deep import StackDeep
+from rbm.matrix import Mat, np, convert, read_armadillo
+from rbm.entity import Entity
+
+def cv_show(name: str, vec: Mat, shape):
+	img = cv.Mat(convert(np.resize(vec, shape)))
+	img_n = cv.normalize(src=img, dst=None, alpha=255, beta=0, norm_type=cv.NORM_MINMAX, dtype=cv.CV_8U)
+	cv.imshow(f"{name}", img_n)
+
+class MyStatus(Status):
+	def __init__(self, _stack: StackDeep, _batch: Mat):
+		Status.__init__(self, update_interval=10)
+		self.stack = _stack
+		self.batch = _batch
+		self.index = 0
+
+	def on_report(self, entity: Entity, status: dict) -> bool:
+		do_continue = True
+		# print status values
+		Status.print_status(entity, status)
+		# Shape of training vector
+		shape = self.stack.from_index(0).shape[0:2] + (1,)
+
+		# User input
+		max_index = self.batch.shape[0] - 1
+		key = cv.waitKeyEx(1)
+		if key == ord('q'):
+			do_continue = False
+		if key == ord('-'):
+			self.index = max(0, self.index-1)
+		if key == ord('+'):
+			self.index = min(max_index, self.index+1)
+
+		# Show reconstruction
+		img = self.stack.pass_down_up(self.batch[self.index,:])
+		cv_show("img", img, shape)
+
+		return do_continue
+
+
+def main(prj_name: str = "test"):
+	work_dir = "../../results"
+	prj_root = "/home/jens/work/repos/Rbm"
+	prj_path = os.path.join(prj_root, f"{prj_name}.prj")
+	# Create stack from project file
+	stack = StackFactory.from_file(prj_path, work_dir=work_dir)
+
+	# Init state
+	stack.state_init(0.01)
+
+	# Load state
+	stack.state_load()
+
+	# Load train data
+	training_data = read_armadillo(os.path.join(prj_root, f"{prj_name}.training.dat"))
+	try:
+		test_data = read_armadillo(os.path.join(prj_root, f"{prj_name}.test.dat"))
+	except FileNotFoundError:
+		test_data = training_data
+
+	# Prepare status listener
+	my_status = MyStatus(stack, test_data)
+
+	# Train
+	stack.train(training_data, status=my_status)
+
+	# Save state
+	stack.state_save()
+
+if __name__ == "__main__":
+	ap = ArgumentParser()
+	ap.add_argument("name", type=str,
+		default='default',
+		help="Name of project")
+
+	args = ap.parse_args()
+	var_args = vars(args)
+
+	main(var_args["name"])
+	cv.destroyAllWindows()
+
+	print("Test: [passed]")