def tag_and_write()

in model_code/pos_tag.py [0:0]

• 26 lines of code
• 1 McCabe index (conditional complexity)

def tag_and_write(tgt, src, output, dataset, dataset_name):
	verbs = []
	nouns = []
	adj = []
	matching_verbs = []
	matching_nouns = []
	matching_adj = []
	for num, line in enumerate(tgt):
		doc = nlp(line.strip())
		for i, token in enumerate(doc):
			if token.pos_ == "VERB":
				verbs.append(" ".join(line.split()[0:i+1]))
				matching_verbs.append(src[num].strip())
			if token.pos_ == "NOUN":
				nouns.append(" ".join(line.split()[0:i+1]))
				matching_nouns.append(src[num].strip())
			if token.pos_ == "ADJ":
				adj.append(" ".join(line.split()[0:i+1]))
				matching_adj.append(src[num].strip())
	file_writer(output + "/" + dataset + "." + dataset_name + "_verb_source", matching_verbs)
	file_writer(output + "/" + dataset + "." + dataset_name + "_noun_source", matching_nouns)
	file_writer(output + "/" + dataset + "." + dataset_name + "_adj_source", matching_adj)
	file_writer(output + "/" + dataset + "." + dataset_name + "_verb_target", verbs)
	file_writer(output + "/" + dataset + "." + dataset_name + "_noun_target", nouns)
	file_writer(output + "/" + dataset + "." + dataset_name + "_adj_target", adj)
	return