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a1 = "0e0011101f060b040c410b4f44051a41080601064310021013014517490316060c03010912001245040e16171c4e19080e07141b4918005353080b18010b1d4144000002171c121e11121700" | |
a2 = "000005101e000002004c12064d010715034f04004e11071a070a00000c46011b161a1d0b0741004512000008125350160a4414001c170c124f4d030d0b061e08540e00134510070515020500" | |
tam = 152 | |
y1 = [] | |
y2 = [] | |
vetEntrada = [] | |
vetTextoClaro1 = [] | |
vetTextoClaro2 = [] | |
vetKey = [] |
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import scipy.special | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib as mpl | |
import math | |
from mpmath import * | |
mpl.rcParams["text.usetex"] = True | |
def riccatiBessel_jn(n, z): |
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