def standardize_X(shape, X):
	if not numpy_array(X):
		X = np.asarray(X)

	if len(shape) == 4 or len(X.shape) == 2:
		return X.reshape(-1, shape[2], shape[3], shape[1]).transpose(0, 3, 1, 2)
	else:
		return X
dataset/ETHPy150Open IndicoDataSolutions/Foxhound/foxhound/preprocessing.py/standardize_X/operator `and` -> `or`