def METHOD_NAME(self):
    tmp_folder_name = self.tmp.split('/')[-1]
    prebuilt_index_path = download_prebuilt_index('trec-covid-r5-abstract')
    os.system(f'python {self.pyserini_root}/scripts/classifier_prf/rank_trec_covid.py \
                -alpha 0.6 \
                -clf lr \
                -vectorizer tfidf \
                -new_qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round5.txt \
                -base {self.tmp}/runs/covidex.r5.d2q.1s \
                -tmp_base {tmp_folder_name} \
                -qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round4-cumulative.txt \
                -index {prebuilt_index_path} \
                -tag covidex.r5.d2q.1s \
                -output {self.tmp}/output.json')
    with open(f'{self.tmp}/output.json') as json_file:
        data = json.load(json_file)
        self.assertEqual("0.3859", data['map'])
        self.assertEqual("0.8221", data['ndcg'])
    os.system(f'python {self.pyserini_root}/scripts/classifier_prf/rank_trec_covid.py \
                -alpha 0.6 \
                -clf lr \
                -vectorizer tfidf \
                -new_qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round5.txt \
                -base {self.tmp}/runs/covidex.r5.d2q.2s \
                -tmp_base {tmp_folder_name} \
                -qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round4-cumulative.txt \
                -index {prebuilt_index_path} \
                -tag covidex.r5.d2q.2s \
                -output {self.tmp}/output.json')
    with open(f'{self.tmp}/output.json') as json_file:
        data = json.load(json_file)
        self.assertEqual("0.3875", data['map'])
        self.assertEqual("0.8304", data['ndcg'])
    os.system(f'python {self.pyserini_root}/scripts/classifier_prf/rank_trec_covid.py \
                -alpha 0.6 \
                -clf lr \
                -vectorizer tfidf \
                -new_qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round5.txt \
                -base {self.tmp}/runs/covidex.r5.1s \
                -tmp_base {tmp_folder_name} \
                -qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round4-cumulative.txt \
                -index {prebuilt_index_path} \
                -tag covidex.r5.1s \
                -output {self.tmp}/output.json')
    with open(f'{self.tmp}/output.json') as json_file:
        data = json.load(json_file)
        self.assertEqual("0.3885", data['map'])
        self.assertEqual("0.8135", data['ndcg'])
    os.system(f'python {self.pyserini_root}/scripts/classifier_prf/rank_trec_covid.py \
                -alpha 0.6 \
                -clf lr \
                -vectorizer tfidf \
                -new_qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round5.txt \
                -base {self.tmp}/runs/covidex.r5.2s \
                -tmp_base {tmp_folder_name} \
                -qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round4-cumulative.txt \
                -index {prebuilt_index_path} \
                -tag covidex.r5.2s \
                -output {self.tmp}/output.json')
    with open(f'{self.tmp}/output.json') as json_file:
        data = json.load(json_file)
        self.assertEqual("0.3922", data['map'])
        self.assertEqual("0.8311", data['ndcg'])