#-*- coding = utf-8 -*-
#@Time : 2021/4/28 9:51
#@Author : Zyh
#@File : logic_zr.py
#@Software : PyCharm

import numpy as np

class logic_more:
    def loaddata(self,fn):
        x= []
        y=[]
        with open(fn,'r') as f:
            file = f.readlines()
        # print(file)
        for line in file:
            line = line.strip().split()
            # print(line[0])
            x.append([float(line[0]),float(line[1]),float(line[2]),float(line[3]),float(line[4]),
                      float(line[5])])
            y.append(float(line[-1]))
        npx = np.array(x)
        maxv = npx.max(0)
        minv = npx.min(0)
        ranges = maxv - minv
        m = npx.shape[0]
        x = [1]
        xxx = np.tile(x, (m, 1))
        normData = npx - np.tile(minv, (m, 1))
        normData = normData / np.tile(ranges, (m, 1))
        normData = np.column_stack((xxx, normData))
        xmat = np.mat(normData)
        # print(type(xmat))
        ymat = np.mat(y).T
        # print(xmat)
        # print(ymat)
        return xmat,ymat

    def w_calc(self,xmat,ymat,alpha=0.001,maxg = 500):
        # w._int
        w = np.mat(np.random.randn(7,1))
        # w updata  Tzhuanzhi
        for i in range(maxg):
            H =  1 /(1 + np.exp(-xmat*w))
            dw = xmat.T*(H-ymat)
            w -= alpha*dw

        return w

    def w_cl(self,xmat,ymat,w):
        m = xmat.shape[0]
        y_yc = xmat*w
        y_yc = np.sum(y_yc,axis=1)
        y = y_yc.tolist()
        xm = 0
        ym = 0
        for item in y:
            if item[0] > 0.5:
                xm += 1
            else:
                ym += 1
        sum_y = np.sum(ymat)
        return xm/sum_y