import numpy as np
import pandas as pd
import pickle
def save(object_to_save, path):
    with open(path, 'wb') as f:
        pickle.dump(object_to_save, f)
def load(path):
    with open(path, 'rb') as f:
        object1 = pickle.load(f)
        return object1




# model = load('svc_model.pk')
# data = pd.read_csv("../Data/cs-training.csv", index_col=0)
# a = pd.qcut(data['SeriousDlqin2yrs'],3,duplicates='drop')
# print(a)
# b = data.groupby(a)
# print(b)
# print(len(b))
  #   x = np.array([np.array([-0.01867214, 0.28473352, -0.35965723, -0.12996393, -0.18025808,  0.07713616,
  # -0.18793693, -0.01226944, -0.19963244, -0.72204477])])
# x = np.array([np.array([-0.92867214, 0.98473352, -0.05965723, -0.92996393, -0.08025808,  0.17713616,
#   -0.58793693, -0.91226944, -0.99963244, -0.92204477])])
# print(model.predict(x))
# a,b = model.predict_proba(x)[0]
# print(a,b)
import re
complainants_rule1 = re.compile("(?:[^被]|^)(?:投[诉拆][人方]|质疑[人方]|质疑供应商|质疑单位|疑问[人方]|检举[人方]|举报[人方])[\d一二三四五六七八九十]?(\(.+?\))?(:?，?名称[\d一二三四五六七八九十]?)?(?:[:：，]+.{0,3}$|$)")
if complainants_rule1.search("济历城财采[2016]1号，投诉人："):
    print(1)