def METHOD_NAME(filename, orig_imgs, orig_points, orig_embeddings, gen_imgs, gen_points, gen_embeddings):
	"""Makes csv of real and augmented data with format:
	image path, particles path, PCA scores"""
	csv_out = open(filename, "w+")
	# write originals
	for orig_index in range(len(orig_imgs)):
		string = orig_imgs[orig_index] + "," + orig_points[orig_index]
		for score in orig_embeddings[orig_index]:
			string += "," + str(score)
		csv_out.write(string + "\n")
	# write generated
	for gen_index in range(len(gen_imgs)):
		string = gen_imgs[gen_index] + "," + gen_points[gen_index]
		for score in gen_embeddings[gen_index]:
			string += "," + str(score)
		csv_out.write(string + "\n")
	csv_out.close()