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exam/archive/assets/1.png
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exam/archive/assets/2.png
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exam/archive/assets/4.png
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exam/archive/assets/5.png
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exam/archive/questions.pdf
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exam/archive/scripts/2.py
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exam/archive/scripts/2.py
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import numpy as np
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import matplotlib.pyplot as plt
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E = 1.0
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r = 1.0
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R = np.linspace(0.001, 5, 500)
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P = E**2 * R / (R + r)**2
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plt.plot(R, P)
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plt.xlabel("R")
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plt.ylabel("P(R)")
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plt.grid(True)
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plt.savefig("2.png", dpi=300, bbox_inches="tight")
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plt.show()
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exam/archive/scripts/4.py
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exam/archive/scripts/4.py
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import numpy as np
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import matplotlib.pyplot as plt
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r = 1.0
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R = np.linspace(0.001, 10, 500)
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eta = R / (R + r)
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plt.plot(R, eta)
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plt.xlabel("R")
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plt.ylabel("η(R)")
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plt.grid(True)
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plt.savefig("4.png", dpi=300, bbox_inches="tight")
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plt.show()
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exam/archive/scripts/5.py
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exam/archive/scripts/5.py
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import numpy as np
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import matplotlib.pyplot as plt
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R = 1.0
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E0 = 1.0
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r = np.linspace(0, 2.5*R, 500)
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E = np.where(r <= R, E0 * r / R, E0 * (R**2) / (r**2))
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# plot
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plt.plot(r, E)
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plt.xlabel("r")
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plt.ylabel("E(r)")
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plt.grid(True)
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plt.savefig("5.png", dpi=300, bbox_inches="tight")
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plt.show()
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exam/archive/tasks.pdf
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exam/archive/tasks.pdf
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exam/archive/tasks.typ
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exam/archive/tasks.typ
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