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How to use func_t2 method in locust

Best Python code snippet using locust

graphs.py

Source:graphs.py

1import matplotlib.pyplot as plt2from numpy import linspace, meshgrid, arange3import constants as const4def FunctionLevelRoute(f, xst1, xst2, axis = 'horizontal', name = None):5    x = linspace(const.interval['x1'][0] * 1.5, const.interval['x1'][1] * 1.5, 1000)6    y = linspace(const.interval['x2'][0] * 1.5, const.interval['x2'][1] * 1.5, 1000)7    X, Y = meshgrid(x, y)8    Z = f([X, Y])9    levels = linspace(10        min(min(f([xst1[0], xst1[1]])), min(f([xst2[0], xst2[1]]))),11        max(max(f([xst1[0], xst1[1]])), max(f([xst2[0], xst2[1]]))),12        const.levels13    )14    fig = plt.figure()15    fig.suptitle(name)16    # T1 contour17    plt.subplot(1, 2, 1) if axis == 'horizontal' else plt.subplot(2, 1, 1)18    plt.xlabel('X1')19    plt.ylabel('X2')20    plt.plot(xst1[0], xst1[1], 'o--', color = 'magenta', label = 'Route for T1', zorder = 5)21    plt.plot(xst2[0], xst2[1], 'o--', color = 'blueviolet', alpha = 0.3, label = 'Route for T2', zorder = 4)22    plt.contour(X, Y, Z, levels, colors = 'purple', zorder = 3)23    plt.contourf(X, Y, Z, levels, cmap = 'RdPu', zorder = 2, alpha = 0.7)24    plt.legend()25    plt.grid(zorder = 1)26    # T2 contour27    plt.subplot(1, 2, 2) if axis == 'horizontal' else plt.subplot(2, 1, 2)28    plt.xlabel('X1')29    plt.ylabel('X2')30    plt.plot(xst1[0], xst1[1], 'o--', color = 'magenta', alpha = 0.3, label = 'Route for T1', zorder = 4)31    plt.plot(xst2[0], xst2[1], 'o--', color = 'blueviolet', label = 'Route for T2', zorder = 5)32    plt.contour(X, Y, Z, levels, colors = 'purple', zorder = 3)33    contourf = plt.contourf(X, Y, Z, levels, cmap = 'RdPu', zorder = 2, alpha = 0.7)34    plt.legend()35    plt.grid(zorder = 1)36    fig.subplots_adjust(right = 0.85)37    colorbar_ax = fig.add_axes([0.9, 0.15, 0.025, 0.7])38    fig.colorbar(contourf, cax = colorbar_ax)39    plt.show()40def Xk(xst1, xst2, name = None):41    x1_t1 = xst1[0]42    x2_t1 = xst1[1]43    K_t1 = range(len(x1_t1))44    plt.figure().suptitle(name)45    # X1 T1 graph46    plt.subplot(2, 2, 1)47    plt.xlabel('K')48    plt.ylabel('X1')49    plt.title('X1 steps for T1')50    plt.grid()51    if len(K_t1) < 10:52        plt.xticks(arange(len(x1_t1), step = 1))53    plt.plot(K_t1, x1_t1, 'o--')54    plt.plot(K_t1, x2_t1, 'ko--', color = 'grey', alpha = 0.3)55    plt.legend(['X1', 'X2'])56    # X2 T1 graph57    plt.subplot(2, 2, 2)58    plt.xlabel('K')59    plt.ylabel('X2')60    plt.title('X2 steps for T1')61    plt.grid()62    if len(K_t1) < 10:63        plt.xticks(arange(len(x2_t1), step = 1))64    plt.plot(K_t1, x2_t1, 'o--')65    plt.plot(K_t1, x1_t1, 'o--', color = 'grey', alpha = 0.3)66    plt.legend(['X2', 'X1'])67    x1_t2 = xst2[0]68    x2_t2 = xst2[1]69    K_t2 = range(len(x1_t2))70    # X1 T2 graph71    plt.subplot(2, 2, 3)72    plt.xlabel('K')73    plt.ylabel('X1')74    plt.title('X1 steps for T2')75    plt.grid()76    if len(K_t2) < 10:77        plt.xticks(arange(len(x1_t2), step = 1))78    plt.plot(K_t2, x1_t2, 'o--')79    plt.plot(K_t2, x2_t2, 'ko--', color = 'grey', alpha = 0.3)80    plt.legend(['X1', 'X2'])81    # X2 T2 graph82    plt.subplot(2, 2, 4)83    plt.xlabel('K')84    plt.ylabel('X2')85    plt.title('X2 steps for T2')86    plt.grid()87    if len(K_t2) < 10:88        plt.xticks(arange(len(x2_t2), step = 1))89    plt.plot(K_t2, x2_t2, 'o--')90    plt.plot(K_t2, x1_t2, 'o--', color = 'grey', alpha = 0.3)91    plt.legend(['X2', 'X1'])92    plt.show()93def Xs(xs, name = None):94    plt.xlabel('Xs2')95    plt.ylabel('Xs1')96    plt.title(name)97    plt.grid()98    plt.plot(xs[1], xs[0], 'o-')99    plt.legend([f'X steps'])100    plt.show()101def FunctionK(f, xst1, xst2, func_num, name = None):102    func_t1 = [f([xst1[0][i], xst1[1][i]]) for i in range(len(xst1[0]))]103    K_t1 = range(len(func_t1))104    func_t2 = [f([xst2[0][i], xst2[1][i]]) for i in range(len(xst2[0]))]105    K_t2 = range(len(func_t2))106    plt.figure().suptitle(name)107    # T2 graph108    plt.subplot(1, 2, 1)109    plt.xlabel('K')110    plt.ylabel('F(x1, x2)')111    plt.grid()112    plt.plot(K_t1, func_t1, 'mo-')113    plt.plot(K_t2, func_t2, 'mo-', alpha = 0.3)114    plt.legend(['Function values for T1',115                'Function values for T2'])116    # T2 graph117    plt.subplot(1, 2, 2)118    plt.xlabel('K')119    plt.ylabel('F(x1, x2)')120    plt.grid()121    plt.plot(K_t1, func_t1, 'mo-', alpha = 0.3)122    plt.plot(K_t2, func_t2, 'mo-')123    plt.legend([f'Function values for T1',124                f'Function values for T2'])125    plt.show()126def Fk(f1, xs1, f2, xs2):127    tmp_func1 = [f1([xs1[0][i], xs1[1][i]]) for i in range(1, len(xs1[0]))]128    tmp_func2 = [f2([xs2[0][i], xs2[1][i]]) for i in range(1, len(xs2[0]))]129    if len(tmp_func1) < len(tmp_func2):130        for i in range(len(tmp_func1), len(tmp_func2)):131            tmp_func1.append(tmp_func1[-1])132    elif len(tmp_func2) < len(tmp_func1):133        for i in range(len(tmp_func2), len(tmp_func1)):134            tmp_func2.append(tmp_func2[-1])135    K = range(max(len(tmp_func1), len(tmp_func2)))136    # F1 graph137    plt.subplot(1, 2, 1)138    plt.xlabel('K')139    plt.ylabel('Function 1')140    plt.title('Function 1 values')141    plt.grid()142    plt.plot(K, tmp_func1, 'mo--')143    plt.plot(K, tmp_func2, 'ko--', color = 'grey', alpha = 0.3)144    plt.legend(['Function 1', 'Function 2'])145    # F2 graph146    plt.subplot(1, 2, 2)147    plt.xlabel('K')148    plt.ylabel('Function 2')149    plt.title('Function 2 values')150    plt.grid()151    plt.plot(K, tmp_func2, 'mo--')152    plt.plot(K, tmp_func1, 'o--', color = 'grey', alpha = 0.3)153    plt.legend(['Function 2', 'Function 1'])...

iron_source.py

Source:iron_source.py

1import ROOT2from array import array3ROOT.gROOT.SetBatch()4#ROOT.gStyle.SetOptFit(1011)5log = True6fileout = ROOT.TFile("Iron_source.root", "RECREATE")7V_g1t = array('f', [400, 395, 390, 385, 380, 375, 370, 365, 360, 355, 350, 345, 340, 335, 330, 325, 320, 315, 310, 305, 300, 295, 290, 285, 280, 275, 270, 265, 260, 250])#, 240, 200,225,235,180,150,175,100,125,75,50])8I_g1t = array('f', [0.033, 0.026, 0.0235, 0.02175, 0.0185, 0.0165, 0.015, 0.013, 0.01175, 0.0110, 0.00975, 0.0085, 0.00725, 0.00625, 0.00585, 0.00510, 0.00425, 0.00375, 0.00325, 0.00280, 0.00225, 0.0020, 0.0017, 0.0014, 0.0011, 0.0009, 0.00075, 0.0006, 0.0003, 0.000])#, -0.0005, -0.0003, -0.00015, -0.0008, -0.0009, -0.0007, -0.001, -0.0009, -0.001, -0.001])9V_g2t = array('f', [400, 395, 385, 370, 360, 350, 330, 310, 290, 270])10I_g2t = array('f', [0.0020, 0.0020, 0.0015, 0.00125, 0.0012, 0.001, 0.0008, 0.0007, 0.0006, 0.0005])11Err_Vg1t = array('f', [3]*len(V_g1t))12Err_Ig1t = array('f', [abs(i)*0.05 for i in I_g1t])13#print Err_Vg1t, Err_Ig1t14Err_Vg2t = array('f', [3]*len(V_g2t))15Err_Ig2t = array('f', [abs(i)*0.05 for i in I_g2t])16#print Err_Vg2t, Err_Ig2t17g_t1 = ROOT.TGraphErrors(len(V_g1t), V_g1t, I_g1t, Err_Vg1t, Err_Ig1t)18g_t1.SetName("G1T")19g_t1.SetTitle("Pico current monitor with the source; V_{G1T}[V]; I_{G1T}[uA]")20g_t1.SetLineColor(ROOT.kBlack)21g_t1.SetMarkerColor(ROOT.kBlack)22func_t1 = ROOT.TF1("func_t1", "[0]*x^[1]", 270, 400)23func_t1.SetParameters(3.4292E-27, 9.6048)24g_t1.Write()25g_t1.Fit(func_t1)26par1, par2 = func_t1.GetParameter(0), func_t1.GetParameter(1)27c1 = ROOT.TCanvas("g_t1", "c1", 50,50,700,600)28g_t1.Draw("AEP")29func_t1.Draw("SAME")30latex = ROOT.TLatex()31latex.SetTextSize(0.045);32latex.SetTextAlign(13)33latex.DrawLatex(320, max(I_g2t)/2,"I = %.3e*V^{%.3f}" %(par1, par2))34if log:35    c1.SetLogy(1)36c1.Print("g_t1_iron.png")37c1.Print("g_t1_iron.root")38g_t2 = ROOT.TGraphErrors(len(V_g2t), V_g2t, I_g2t, Err_Vg2t, Err_Ig2t)39g_t2.SetName("G2T")40g_t2.SetTitle("Pico current monitor with the source; V_{G2T}[V]; I_{G2T}[uA]")41g_t2.SetLineColor(ROOT.kBlue)42g_t2.SetMarkerColor(ROOT.kBlue)43func_t2 = ROOT.TF1("func_t2", "[0]*x^[1]", 270, 400)44func_t2.SetParameters(2.19031e-12, 3.42068)45g_t2.Write()46g_t2.Fit(func_t2)47par1, par2 = func_t2.GetParameter(0), func_t2.GetParameter(1)48c2 = ROOT.TCanvas("g_t2", "c1", 50,50,700,600)49g_t2.Draw("AEP")50func_t2.Draw("SAME")51latex = ROOT.TLatex()52latex.SetTextSize(0.045);53latex.SetTextAlign(13)54latex.DrawLatex(320, max(I_g2t)/4,"I = %.3e*V^{%.3f}" %(par1, par2))55if log:56    c2.SetLogy(1)57c2.Print("g_t2_iron.png")58c2.Print("g_t2_iron.root")59fileout.Close()60'''61  TF2 *v_pow = new TF2("v_pow", "expo", 320, 450);62  TCanvas* c_tt = new TCanvas("C_tt", "PICO output G3Top", 800, 550);63  g_t2.Draw("AEP");64  g_t2.Write();...

Exam_16.3g.py

Source:Exam_16.3g.py

1def compose(func_T1, func_T2):2    def func(x):3        return func_T1(func_T2(x))4    return func5def add3(x):6    return x + 37def mul7(x):8    return x * 79print(compose(mul7, add3)(1))10print(compose(add3, mul7)(2))11print(compose(mul7, str)(3))...

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