kadairobot

sum = 1
for i in range(64):
   sum = sum + sum * 2
print(sum)
bowl = int(sum) / 3200
print(int(bowl))
hct = 455*71.2
nu = int(sum/hct)
print(nu)
koushien = 38500
mu = int(nu/koushien)
print(mu)
kilo = 7816*1000*1000
kilo2 = kilo/0.02
percent = int(sum / kilo2)*100
print(percent)

3433683820292512484657849089281粒
3200粒が茶碗一杯分なため3200で割る
茶碗1073026193841410165354528768杯分
米を作るために必要な面積と甲子園を調べそれらで割る
105990980994336096000147456平方メートル必要
甲子園2753012493359378857984個分
日本の総生産量でチェスの盤においた米粒の重さを割り100をかける
878629432009342976000%

import matplotlib.pyplot as plt
import math 
import random 
def env(x,y):
  xd = 3.0
  yd = -3.0
  r = (x-xd)**2 + (y-yd)**2
  return math.exp(-r/10)

max_steps = 100
x = 0.0
y = 0.0
a_list =[]
b_list =[]
theta =0.0

for i in range(max_steps):
  sensor = env(x,y)
 
  a_list.append(x)
  b_list.append(y)
  d_x = 0.1*math.cos(math.pi*theta/180.0)
  d_y = 0.1*math.sin(math.pi*theta/180.0)
  x = x + d_x + 0.1*(random.random()-0.5)
  
  y = y+ d_x + 0.1*(random.random()-0.5)
  
  print(x,y)
plt.plot(a_list,b_list)

0.061104485030529704 0.11642955943946254
0.17818467972979196 0.2429755278108948
0.29898267311284354 0.3017563273678483
0.43316739388377523 0.43381736766275375
0.5073108170967369 0.5677514478768249
0.6062542866929584 0.6829129582885562
0.6910113375033494 0.7338772946136649
0.7574260859720308 0.8244760995566425
0.8098072397161341 0.9627258636261387
0.9165777632685123 1.0856385071225054
1.0410891225141867 1.155135302846234
1.103640246359538 1.271778050189917
1.19719898608979 1.3364577433478317
1.2825043777219194 1.4494417542238205
1.418940887324437 1.5736937605151515
1.5075816632602919 1.665221498346161
1.565036024902619 1.7819117220518121
1.7055210281693671 1.8598124258415145
1.8391104490823085 1.9627073611607313
1.9599776174154857 2.085754678674678
2.0872620877150956 2.1369544980175132
2.1859220102799077 2.2600829751262816
2.275775056149065 2.401868016590165
2.3595813935761045 2.548453625937481
2.4718828850979557 2.5991272277239883
2.6069912243848288 2.731987281807565
2.7268910003525795 2.831990431742741
2.814312571152082 2.9689718004585273
2.9471107528916622 3.022938826997837
3.0083536543005844 3.1384029845657717
3.065492243629971 3.2187477680956063
3.1569762068936424 3.302053587305234
3.246694685584914 3.4422823719703914
3.320922702362586 3.4955485525876733
3.37806648294456 3.6359597809882933
3.451724060556283 3.7795170570169367
3.5260330692298947 3.8847263679430446
3.6501064447052194 4.018120302138425
3.7861831630523044 4.145277030633818
3.910986234368322 4.280999228588526
4.009811733974918 4.353261629097132
4.109485383428024 4.444717504762458
4.197154811146006 4.591367647640745
4.278547419722292 4.705345404513676
4.395590292293486 4.782676757660633
4.445725881890769 4.8835344690551
4.513295196956564 5.003249834773216
4.661766334219141 5.0728184174815745
4.793999995834095 5.123655840031879
4.900989607490244 5.267506691681326
4.974850353851491 5.388819832075786
5.038170791886737 5.476124669307946
5.159268614635226 5.615574924561887
5.212507073394255 5.681949508009387
5.339825217868621 5.808123099137813
5.423761300736661 5.888425155263047
5.517375851896772 5.942663955566377
5.607655572928528 6.070751355265638
5.746511153310864 6.175194420257986
5.856139535763403 6.314278329873153
5.985291614536343 6.422114737319115
6.0527323269280675 6.510860510816046
6.169845670441189 6.574430413843136
6.276026807998462 6.672560514957171
6.343086702134403 6.806274614187576
6.466073771137164 6.8797542886092415
6.606481961617435 6.973081936310824
6.675972422972334 7.059623305902604
6.757508943831797 7.187288772493232
6.8517653544084745 7.275739782978637
6.9438355983135756 7.374951842060707
7.035789953713437 7.445437744016937
7.117224807497755 7.555054525832237
7.237980014598632 7.660223839731944
7.3210504529717015 7.808812235894552
7.3749322920600555 7.901594298169032
7.5017144299593 8.028065331373185
7.593815681626058 8.15716800905368
7.7386893903143585 8.248937965609526
7.834578342166421 8.394674983013479
7.9023323477374845 8.46751553250766
8.002742492290075 8.553304390451915
8.069916028355875 8.62593188437837
8.163475294184511 8.698902894582773
8.21850546185249 8.802289136351812
8.300107636384014 8.943849281617684
8.368121561322617 9.012357345834817
8.512392667380167 9.090566474525353
8.59824334966533 9.210274137853629
8.73273608262608 9.295364100988529
8.783196939143897 9.382905095951397
8.865137905466806 9.518626734106522
8.983007987265815 9.61276297710964
9.05954349616423 9.680749933238483
9.190801850602682 9.785508333457988
9.298286266151944 9.849480517779167
9.444806332969787 9.993983842993643
9.570344294814934 10.14188785983022
9.620951578623472 10.226818939156946
9.761821642156432 10.357221356762066

import math
import numpy as np
actions = [[-30,100],[50,30],[-40,60],[30,30]]

x = 0.0
y = 0.0
a = 0
xlist = [x]
ylist = [y]
for i in range(4):
  a = a + actions[i][0]
  y = x + actions[i][1]/ math.sin(a)
  x = y + actions[i][1]/ math.cos(a)
  xlist.append(x)
  ylist.append(y)
  print(x)
  print(y)
  
angle1 = math.atan2(x,y)
angle2 = np.rad2deg(angle1)
print(angle2)
plt.plot(xlist,ylist)

sinとcosでyとxの座標を出しatan2関数で角度を計算する
749.5034588032855
101.21133530701779
855.8787625242268
782.3641368955256
937.186657597149
790.1574063397466
846.2879335698221
882.041738770459
43.814896241207215度回転