DS2-300p3cSol.py

import matplotlib.pyplot as plt

plt.figure(figsize=(15,15))
plt.plot(0.661074,0.784906,'ro',color='#000000')

plt.plot(0.630872,0.769811,'ro',color='#000000')

plt.plot(0.630872,0.735849,'ro',color='#000000')

plt.plot(0.687919,0.724528,'ro',color='#000000')

plt.plot(0.694631,0.769811,'ro',color='#000000')

plt.plot(0.714765,0.762264,'ro',color='#000000')

plt.plot(0.677852,0.792453,'ro',color='#000000')

plt.plot(0.681208,0.762264,'ro',color='#000000')

plt.plot(0.681208,0.720755,'ro',color='#000000')

plt.plot(0.731544,0.74717,'ro',color='#000000')

plt.plot(0.66443,0.8,'ro',color='#000000')

plt.plot(0.728188,0.773585,'ro',color='#000000')

plt.plot(0.714765,0.8,'ro',color='#000000')

plt.plot(0.66443,0.796226,'ro',color='#000000')

plt.plot(0.697987,0.777358,'ro',color='#000000')

plt.plot(0.687919,0.788679,'ro',color='#000000')

plt.plot(0.654362,0.784906,'ro',color='#000000')

plt.plot(0.637584,0.728302,'ro',color='#000000')

plt.plot(0.647651,0.735849,'ro',color='#000000')

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plt.plot(0.64094,0.784906,'ro',color='#000000')

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plt.plot(0.600671,0.70566,'ro',color='#000000')

plt.plot(0.624161,0.690566,'ro',color='#000000')

plt.plot(0.677852,0.675472,'ro',color='#000000')

plt.plot(0.721477,0.683019,'ro',color='#000000')

plt.plot(0.674497,0.845283,'ro',color='#000000')

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plt.plot(0.691275,0.267925,'ro',color='#000000')

plt.plot(0.674497,0.245283,'ro',color='#000000')

plt.plot(0.771812,0.158491,'ro',color='#000000')

plt.plot(0.825503,0.211321,'ro',color='#000000')

plt.plot(0.862416,0.283019,'ro',color='#000000')

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plt.plot(0.808725,0.388679,'ro',color='#000000')

plt.plot(0.761745,0.290566,'ro',color='#000000')

plt.plot(0.751678,0.267925,'ro',color='#000000')

plt.plot(0.798658,0.245283,'ro',color='#000000')

plt.plot(0.798658,0.249057,'ro',color='#000000')

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plt.plot(0.731544,0.188679,'ro',color='#000000')

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plt.plot(0.808725,0.230189,'ro',color='#000000')

plt.plot(0.808725,0.169811,'ro',color='#000000')

plt.plot(0.855705,0.188679,'ro',color='#000000')

plt.plot(0.795302,0.188679,'ro',color='#000000')

plt.plot(0.842282,0.335849,'ro',color='#000000')

plt.plot(0.832215,0.241509,'ro',color='#000000')

plt.plot(0.822148,0.222642,'ro',color='#000000')

plt.plot(0.815436,0.218868,'ro',color='#000000')

plt.plot(0.852349,0.203774,'ro',color='#000000')

plt.plot(0.798658,0.211321,'ro',color='#000000')

plt.plot(0.805369,0.267925,'ro',color='#000000')

plt.plot(0.768456,0.29434,'ro',color='#000000')

plt.plot(0.744966,0.283019,'ro',color='#000000')

plt.plot(0.744966,0.188679,'ro',color='#000000')

plt.plot(0.785235,0.181132,'ro',color='#000000')

plt.plot(0.805369,0.192453,'ro',color='#000000')

plt.plot(0.765101,0.773585,'ro',color='#FF0000')

plt.plot(0.731544,0.807547,'ro',color='#FF0000')

plt.plot(0.768456,0.845283,'ro',color='#FF0000')

plt.plot(0.741611,0.815094,'ro',color='#FF0000')

plt.plot(0.758389,0.811321,'ro',color='#FF0000')

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plt.plot(0.748322,0.879245,'ro',color='#FF0000')

plt.plot(0.738255,0.85283,'ro',color='#FF0000')

plt.plot(0.738255,0.815094,'ro',color='#FF0000')

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plt.plot(0.842282,0.864151,'ro',color='#FF0000')

plt.plot(0.88255,0.909434,'ro',color='#FF0000')

plt.plot(0.892617,0.950943,'ro',color='#FF0000')

plt.plot(0.889262,0.962264,'ro',color='#FF0000')

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plt.plot(0.865772,0.973585,'ro',color='#FF0000')

plt.plot(0.88255,0.962264,'ro',color='#FF0000')

plt.plot(0.90604,0.954717,'ro',color='#FF0000')

plt.plot(0.828859,0.916981,'ro',color='#FF0000')

plt.plot(0.805369,0.898113,'ro',color='#FF0000')

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plt.plot(0.802013,0.818868,'ro',color='#FF0000')

plt.plot(0.879195,0.860377,'ro',color='#FF0000')

plt.plot(0.939597,0.916981,'ro',color='#FF0000')

plt.plot(1,0.984906,'ro',color='#FF0000')

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plt.plot(0.828859,0.720755,'ro',color='#FF0000')

plt.plot(0.869128,0.818868,'ro',color='#FF0000')

plt.plot(0.822148,0.841509,'ro',color='#FF0000')

plt.plot(0.781879,0.845283,'ro',color='#FF0000')

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plt.plot(0.687919,0.218868,'ro',color='#00FF00')

plt.plot(0.775168,0.135849,'ro',color='#00FF00')

plt.show()