joelthe1

import pickle

ref = pickle.load(open('/path/to/biobert_results/gold-reference.pkl', 'rb'))
res = pickle.load(open('/path/to/biobert_results/results.pkl', 'rb'))

scores = []
for res_key in res.keys():
    if res_key == 'text':
        continue
    precisions = []

joelthe1

from bert_serving.client import BertClient
from scipy import spatial
import pickle

bc = BertClient()

# load embeddings of the human subset of the UniProt entries
with open('/path/to/uniprot/protiens-/prots_human.tsv') as ref_file:
    ref_rows = ref_file.read().splitlines()[1:]
    print(ref_rows[:10])

joelthe1

import operator
import sys

def alphabeta(state):
    global path
    moves = []
    paths = []
    alpha = float('-inf')
    beta = float('inf')
    max_root = float('-inf')