How to use difflist method in autotest
Best Python code snippet using autotest_python
segunda-entrega.py
Source:segunda-entrega.py 
1#!/usr/bin/env python2# coding: utf-83# # Segunda entrega4# Esta deberÃa ser la entrega final.5#6# A continuación están las funciones.7# In[ ]:8def read_img(image: str) -> [list,int,int,float]:9 from skimage import io10 import numpy as np11 import cv212 img = io.imread(image)13 X = img.shape[0]14 Y = img.shape[1]15 imgread = [img,X,Y]16 return imgread17# Test18#print(read_img("./Freedo_improved.jpeg")[0])19#print(read_img("./Freedo_improved.jpeg")[1])20#print(read_img("./Freedo_improved.jpeg")[2])21#print(read_img("./Freedo_improved.jpeg")[3])22# In[1]:23def draw_triangles(X,Y,triangles):24 import numpy as np25 import cv226 image = np.ones((X,Y,3), np.uint8)*255 # Blank squared image27 N = len(triangles)28 for i in range(0,N):29 pts = np.array(30 [triangles[i][0],triangles[i][1],triangles[i][2]],31 np.int3232 )33 pts = pts.reshape((-1,1,2))34 cv2.fillPoly(image, [pts], (triangles[i][3]))35 return image36# In[ ]:37def first_gen(N: int, P: int, X: int, Y: int) -> [list,list]:38 import random39 triangles = []40 imagearr = []41 for i in range(0,P):42 vertex = []43 for i in range(0,N):44 triag = [45 [random.randint(0,X),random.randint(0,Y)],46 [random.randint(0,X),random.randint(0,Y)],47 [random.randint(0,X),random.randint(0,Y)],48 [random.randint(0,255),random.randint(0,255),random.randint(0,255)]49 ]50 vertex += [triag]51 imagearr += [draw_triangles(X,Y,vertex)]52 triangles += [vertex]53 return [imagearr,triangles]54# Test55#first_gen(5,5,204,209)[0][0]56# In[ ]:57def fitness(original, image):58 import numpy as np59 from skimage import io60 import cv261 X = original.shape[0]62 Y = original.shape[1]63 difflist = []64 for i in range(0,X):65 for k in range(0,Y):66 origvals = []67 imgvals = []68 for l in range(0,3):69 origvals += [original.item(i,k,l)]70 imgvals += [image.item(i,k,l)]71 if origvals[0] == imgvals[0] and origvals[1] == imgvals[1] and origvals[2] == imgvals[2]:72 difflist += [1]73 else:74 difflist += [0]75 diffsum = sum(difflist)76 diff = sum(difflist)/len(difflist)77 return diff78# Test79#fitness(80# read_img("./Freedo_improved.jpeg")[0],81# read_img("./Freedo_improved_inverted.jpeg")[0],82#)83# In[ ]:84def old_fitness(original, image):85 from skimage.metrics import structural_similarity as ssim86 import numpy as np87 import cv288 (score,diff) = ssim(original, image, full=True, multichannel=True)89 return abs(score)90# In[ ]:91def mutate(triangles,X,Y):92 import random93 N = len(triangles)94 M = random.randint(0,N-1)95 K = random.randint(0,3)96 colorpercent = int(255 * 0.05)97 Xvertpercent = int(X * 0.05)98 Yvertpercent = int(Y * 0.05)99 for i in range (0,M):100 l = random.randint(0,N-1)101 for i in range (0,K):102 k = random.randint(0,3)103 if k != 3:104 triangles[l][k][0] += random.randint(1,Xvertpercent)*random.choice([-1,1])105 triangles[l][k][1] += random.randint(1,Yvertpercent)*random.choice([-1,1])106 if triangles[l][k][0] >= X:107 triangles[l][k][0] -= triangles[l][k][0] - X108 if triangles[l][k][1] >= Y:109 triangles[l][k][1] -= triangles[l][k][1] - Y110 else:111 triangles[l][k][0] += random.randint(1,colorpercent)*random.choice([-1,1])112 triangles[l][k][1] += random.randint(1,colorpercent)*random.choice([-1,1])113 triangles[l][k][2] += random.randint(1,colorpercent)*random.choice([-1,1])114 if triangles[l][k][0] >= 255:115 triangles[l][k][0] -= triangles[l][k][0] - 255116 if triangles[l][k][1] >= 255:117 triangles[l][k][1] -= triangles[l][k][1] - 255118 if triangles[l][k][2] >= 255:119 triangles[l][k][1] -= triangles[l][k][1] - 255120 return triangles121# Test122# triangles = first_gen(5,5,204,209)[1][2]123# print(triangles)124# mutate(triangles,204,209)125# In[35]:126def selection(original,imagearr) -> [int]:127 import random128 N = len(imagearr)129 difflist = []130 for i in range(0,N):131 difflist += [[fitness(original,imagearr[i]),i]]132 difflist = sorted(difflist, reverse=True)133 best = difflist[0]134 selected = []135 diffsum = 0136 problist = []137 for i in range(0,N):138 diffsum += difflist[i][0]139 problist += [[diffsum,difflist[i][1]]]140 while len(selected) < 2:141 end = N-1142 start = 0143 r = random.uniform(0,diffsum)144 while end != start+1:145 mid = (end+start)//2146 if r > problist[mid][0]:147 start = mid148 elif r < problist[mid][0]:149 end = mid150 else:151 end = start+1152 selected += [problist[end][1]]153 return [selected,best]154# Test155#selection(read_img("./Freedo_improved.jpeg")[0],first_gen(12,10,204,209)[0])156# In[38]:157def crossover(parentA:list, parentB:list, X: int, Y: int,):158 import random159 N = len(parentA)160 sonA = []161 sonB = []162 for i in range(0,N):163 if i <= N//2:164 sonA += [parentA[i]]165 sonB += [parentB[i]]166 else:167 sonB += [parentA[i]]168 sonA += [parentB[i]]169 if random.uniform(0,100) <= 7:170 if random.randint(0,1) == 1:171 sonA = mutate(sonA,X,Y)172 else:173 sonB = mutate(sonB,X,Y)174 return [sonA,sonB]175# Test176#crossover(first_gen(15,7,204,209)[1][0],first_gen(15,7,204,209)[1][1],204,209)177# In[ ]:178def next_gen(original,imagearr,triangles):179 import cv2180 img = original181 X = img.shape[0]182 Y = img.shape[1]183 N = len(imagearr)184 nextgentriag = []185 nextgentriag += [triangles[selection(original,imagearr)[1][1]]]186 while len(nextgentriag) < N:187 k = selection(original,imagearr)[0]188 sons = crossover(triangles[k[0]],triangles[k[1]],X,Y)189 nextgentriag += [sons[0]]190 nextgentriag += [sons[1]]191 while N != len(nextgentriag):192 nextgentriag = nextgentriag[:-1]193 nextgenimgarr = []194 for i in range(0,len(nextgentriag)):195 nextgenimgarr += [draw_triangles(X,Y,nextgentriag[i])]196 best = selection(original,nextgenimgarr)[1]197 return [nextgenimgarr,nextgentriag,best]198# Test199#next_gen(200# read_img("./Freedo_improved.jpeg")[0],201# first_gen(6,10,204,209)[0],202# first_gen(6,10,204,209)[1])203# In[48]:204def gen_algo(original: str, N: int, P: int):205 from matplotlib import pyplot as plt206 import cv2207 X = read_img(original)[1]208 Y = read_img(original)[2]209 img = read_img(original)[0]210 firstgen = first_gen(N,P,X,Y)211 nextgen = next_gen(img,firstgen[0],firstgen[1])212 difflist = []213 bestlist = []214 L = 500215 for i in range(0,L):216 nextgen = next_gen(img,nextgen[0],nextgen[1])217 difflist += [nextgen[2][0]]218 if i % 5 == 0:219 print(i)220 if i % 10 == 0:221 cv2.imwrite("./best-images/simple-square"+str(i)+".png",nextgen[0][nextgen[2][1]])222 plt.plot(difflist)223 plt.show()224 #cv2.imshow("window2",nextgen[0][0])225 #cv2.waitKey(0)226 #cv2.destroyWindow('window2')227 #cv2.waitKey(1)228 #return nextgen229# Test230for i in range(0,5):231 gen_algo("./tux-smol.png",30,20)...
home_1065_함수.py
Source:home_1065_함수.py
1# 0. ì´ë¤ ìì ëí´ì, ê·¸ ìê° íìì¸ì§ íë³2# n = input()3# diffList = []4# for i in range(len(n)-1):5# diff = int(n[i])-int(n[i+1])6# diffList.append(diff)7# if len(set(diffList)) == 0 or len(set(diffList)) == 1:8# print("íì")9# else:10# print("ìëì¼")11# 1. ì´ë¤ ìë³´ë¤ ìì 모ë ìì ëí´ì, ê·¸ ìê° íìì¸ì§ íë³.12# n = input()13# numList = list(range(1, int(n) + 1))14# for num in numList:15# diffList = []16# for i in range(len(str(num))-1):17# diff = int(str(num)[i]) - int(str(num)[i+1])18# diffList.append(diff)19# checkNum = len(set(diffList))20# if checkNum == 0 or checkNum == 1:21# print("íì")22# 2. ì´ë¤ ìë³´ë¤ ìì 모ë ìì ëí´ì, ê·¸ ìê° íìì¸ì§ íë³íê³ , ê°ì ì¸ê¸°.23# n = input()24# numList = list(range(1, int(n) + 1))25# nCount = 026# for num in numList:27# diffList = []28# for i in range(len(str(num))-1):29# diff = int(str(num)[i]) - int(str(num)[i+1])30# diffList.append(diff)31# checkNum = len(set(diffList))32# if checkNum == 0 or checkNum == 1:33# nCount += 134 35# print(nCount)36# 3. í¨ìë¡ êµ¬íí기37# def hansu(n):38# numList = list(range(1, n + 1))39# nCount = 040# for num in numList:41# diffList = []42# for i in range(len(str(num))-1):43# diff = int(str(num)[i]) - int(str(num)[i+1])44# diffList.append(diff)45# checkNum = len(set(diffList))46# if checkNum == 0 or checkNum == 1:47# nCount += 148 49# return print(nCount)50# hansu(150)51# 4. ì
ë ¥ê° ë°ì¼ë©´ ëë ¤ì£¼ë ì 구í기52def hansu(n):53 numList = list(range(1, n + 1))54 nCount = 055 for num in numList:56 diffList = []57 for i in range(len(str(num))-1):58 diff = int(str(num)[i]) - int(str(num)[i+1])59 diffList.append(diff)60 checkNum = len(set(diffList))61 if checkNum == 0 or checkNum == 1:62 nCount += 163 64 return print(nCount)65x = int(input())...
2981.py
Source:2981.py
1from collections import deque as dq2N = int(input())3nlist = [int(input())for __ in range(N)]4nlist = sorted(nlist, reverse=True)5def gcd(a, b):6 a, b = max(a, b), min(a, b)7 while(b != 0):8 r = a % b9 a = b10 b = r11 return a12def cd(a):13 nlist = []14 for i in range(1, int(a**(1/2))+1):15 if a % i == 0:16 nlist.append(i)17 if a//i != i:18 nlist.append(a//i)19 nlist.remove(1)20 return sorted(nlist)21difflist = dq()22for i in range(len(nlist)-1):23 for j in range(i+1, len(nlist)):24 difflist.append(nlist[i]-nlist[j])25for i in range(len(difflist)):26 # print(difflist)27 if(len(difflist)>1):28 a = difflist.popleft()29 b= difflist.popleft()30 difflist.insert(0,gcd(a,b))31for cd in cd(difflist[0]):...
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