importnumpyasnpfromscipy.integrateimportsolve_ivpimportmatplotlib.pyplotasplt# Define parametersa=0.2b=0.2c=5.7# Create a parameter dictionaryp={'a':a,'b':b,'c':c}# Define the time span and initial conditionstfin=750npts=10*tfintime=np.linspace(0,tfin,npts)w0=[1,1,1]# Define the right-hand side (RHS) function for the ODEdefrhs(t,w,p):x,y,z=wa,b,c=p['a'],p['b'],p['c']wdot=[-y-z,x+a*y,b+z*(x-c)]returnwdot# Solve the differential equations using solve_ivpsolution=solve_ivp(lambdat,w:rhs(t,w,p),[0,tfin],w0,t_eval=time,method='LSODA')# Extract the solutionw=solution.y.T# Save the results to a .dat file using np.savetxt with formattingwithopen("rosslerattractor.dat","w")asf:np.savetxt(f,w,fmt='%f',header='x y z')# Plot the solution to visualize the attractorplt.plot(w[:,0],w[:,1])plt.xlabel('x')plt.ylabel('y')plt.title('Rossler Attractor')plt.grid(True)plt.show(block=False)