diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index c7ded52..ffc2813 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -27,12 +27,10 @@ jobs: pip install tox tox-gh-actions - name: Test generator and physics output run: tox - - name: Upload Coverage to Codecov - uses: codecov/codecov-action@v2 - # - name: Generate Report - # run: | - # pip install coverage - # coverage run -m pytest - # - name: Setup tmate session - # if: success() || failure() - # uses: mxschmitt/action-tmate@v3 + - name: Upload coverage to Codecov + uses: codecov/codecov-action@v4.2.0 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml # Specify your coverage file location if needed + flags: unittests # Optional: Helps to tag results for more detail + fail_ci_if_error: false # Optional: Don't fail the CI if Codecov fails \ No newline at end of file diff --git a/examples/Example_0_start_here.ipynb b/examples/Example_0_start_here.ipynb index 77bbd3a..5ef65ed 100644 --- a/examples/Example_0_start_here.ipynb +++ b/examples/Example_0_start_here.ipynb @@ -533,7 +533,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.9.12 ('base')", + "display_name": "darknews", "language": "python", "name": "python3" }, @@ -547,12 +547,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" - }, - "vscode": { - "interpreter": { - "hash": "3067ead486e059ec00ffe7555bdb889e6e264a24dc711bf108106cc7baee8d5d" - } + "version": "3.11.8" } }, "nbformat": 4, diff --git a/examples/Example_1_total_xsecs.ipynb b/examples/Example_1_total_xsecs.ipynb deleted file mode 100644 index 752c454..0000000 --- a/examples/Example_1_total_xsecs.ipynb +++ /dev/null @@ -1,667 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "breeding-basic", - "metadata": {}, - "source": [ - "# Example 1\n", - "---\n", - "\n", - "This notebook demonstrates how to obtain differential and total cross sections for upscattering processes." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "00671c2d", - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "activated-march", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "import DarkNews as dn\n", - "from DarkNews import pdg\n", - "\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "5e21e347", - "metadata": {}, - "source": [ - "### 1) First cross checks of NC cross sections\n", - "\n", - "Let's check that the `neutral current` cross section behaves like the SM one in the low-energy limit. We compare our Z exchange xsec with the total neutrino xsecs (file taken from GLoBES, refs: Messier:1999kj, Paschos:2001np)\n", - "\n", - "We currently do not have the DIS regime included, so we expect agreement only at the lowest energies.\n", - "\n", - "--- \n", - "We start by defining an instance of a model with no additional new physics on top of the minimal HNL model (only nu-N mixing).\n", - "\n", - "Then we define instances of XsecCalc, which is our xsec calculator object. They can compute differential cross sections (in Q^2) or total cross sections (integrated with Vegas). We are interested in the latter here.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "indoor-vermont", - "metadata": {}, - "outputs": [], - "source": [ - "# targets\n", - "proton = dn.NuclearTarget(\"H1\")\n", - "C12 = dn.NuclearTarget(\"C12\")\n", - "Ar40 = dn.NuclearTarget(\"Ar40\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4178eff0", - "metadata": {}, - "outputs": [], - "source": [ - "# model\n", - "NC_test = dn.model.ThreePortalModel(name='NC_test', m4 = 0.001, Umu4=1e-3, epsilon=0.0, gD=0.0)\n", - "\n", - "# xsec calculators\n", - "common_kwargs = {'nu_projectile': pdg.numu, 'nu_upscattered': pdg.neutrino4, 'helicity': 'conserving', 'nuclear_target': C12}\n", - "calc_NC_coh = dn.UpscatteringProcess(TheoryModel = NC_test, scattering_regime = 'coherent', **common_kwargs) \n", - "calc_NC_pel = dn.UpscatteringProcess(TheoryModel = NC_test, scattering_regime = 'p-el', **common_kwargs) \n", - "calc_NC_nel = dn.UpscatteringProcess(TheoryModel = NC_test, scattering_regime = 'n-el', **common_kwargs) \n", - "\n", - "# calculating them\n", - "Enu_range = np.geomspace(0.01,2e2,50)\n", - "xsecs_NC = (calc_NC_coh.total_xsec(Enu_range, NEVAL=1000, NINT=10), \n", - " calc_NC_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10),\n", - " calc_NC_nel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "039a4a21", - "metadata": {}, - "outputs": [], - "source": [ - "maj_test = dn.model.ThreePortalModel(name='maj_test', m4 = 0.2, Umu4=np.sqrt(2.2e-7), epsilon2=4.6e-4, alphaD=0.4, UD4=1, HNLtype='majorana', mzprime=1.25)\n", - "dir_test = dn.model.ThreePortalModel(name='dirac_test', m4 = 0.2, Umu4=np.sqrt(2.2e-7), epsilon2=4.6e-4, alphaD=0.4, UD4=1, HNLtype='dirac', mzprime=1.25)\n", - "\n", - "calc_maj_coh = dn.UpscatteringProcess(TheoryModel = maj_test, scattering_regime = 'coherent', **common_kwargs) \n", - "calc_dir_coh = dn.UpscatteringProcess(TheoryModel = dir_test, scattering_regime = 'coherent', **common_kwargs) \n", - "\n", - "print(f'maj: tot_sigma = {calc_maj_coh.total_xsec(Enu=1.0, NEVAL=1000, NINT=10)}')\n", - "print(f'dir: tot_sigma = {calc_dir_coh.total_xsec(Enu=1.0, NEVAL=1000, NINT=10)}')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "be5ae691", - "metadata": {}, - "outputs": [], - "source": [ - "q2=np.geomspace(1e-3,1,1000)\n", - "\n", - "fig, ax = dn.plot_tools.std_fig(figsize=(6,3))\n", - "\n", - "ax.plot(q2,calc_maj_coh.diff_xsec_Q2(1,q2, diagrams=['total']),label='majorana', lw=2)\n", - "ax.plot(q2,calc_dir_coh.diff_xsec_Q2(1,q2, diagrams=['total']),ls='--',label='dirac', lw=2)\n", - "ax.set_yscale(\"log\")\n", - "ax.set_xscale(\"log\")\n", - "ax.set_xlabel(r\"$Q^2$/GeV$^2$\")\n", - "ax.set_ylabel(r\"$d\\sigma/dQ^2$ (cm$^2$)\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "12afba7e", - "metadata": {}, - "source": [ - "Now we see that the NC scattering on neutrons matches the one obtained from GLoBES reasonably well, except at high energies, where the DIS cross section, which we do not model, dominates." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "69699477", - "metadata": {}, - "outputs": [], - "source": [ - "# create fig\n", - "fig, ax = dn.plot_tools.std_fig(ax_form=[0.15,0.15,0.83,0.74], figsize=(5,4))\n", - "\n", - "dn_logo = r\"{\\footnotesize \\textsc{DN}}\"\n", - "ax.plot(Enu_range, 1e6*xsecs_NC[0], label=rf\"coherent {dn_logo}\", c='orange')\n", - "ax.plot(Enu_range, 1e6*xsecs_NC[2]*6, ls='--', label=rf\"n-elastic {dn_logo}\", c='orange')\n", - "ax.plot(Enu_range, 1e6*xsecs_NC[1]*6, ls=':', label=rf\"p-elastic {dn_logo}\", c='orange')\n", - "\n", - "# GLoBES file\n", - "# loge, *sigma = np.genfromtxt(\"aux_data/XNC.dat\", unpack=True)\n", - "# enu = 10**loge\n", - "# ax.plot(enu, sigma[1]*1e-38*enu*12, c='black', label=r'$\\sigma_{\\rm NC}^{\\rm tot}$ (GLoBEs)')\n", - "\n", - "ax.set_xscale(\"log\")\n", - "ax.set_yscale(\"log\")\n", - "ax.legend(frameon=False, loc='upper right')\n", - "ax.set_xlim(min(Enu_range), max(Enu_range))\n", - "ax.set_ylim(1e-41,1e-35)\n", - "leg = ax.legend(frameon=False, loc = \"upper left\", title=r'Benchmarks')\n", - "ax.set_xlabel(r'$E_\\nu$/GeV')\n", - "ax.set_ylabel(r'$\\sigma$/cm$^2$/Carbon')\n", - "\n", - "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_NC.pdf\",dpi=400)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "4a20e8af", - "metadata": {}, - "source": [ - "### 2) Now we compare different new physics models\n", - "\n", - "We will focus on a couple of benchmark models:\n", - "\n", - "* Vergano et al BP __[2105.06470](arxiv.org/abs/2105.06470)__\n", - "\n", - "* Bertuzzo et al BP __[1807.09877](arxiv.org/abs/1807.09877)__\n", - "\n", - "* Ballett et al BP __[1903.07589](arxiv.org/abs/1903.07589)__\n", - "\n", - "* Abdullahi et al BP __[2007.11813](arxiv.org/abs/2007.11813)__\n", - "\n", - "* Abdallah et al BP __[2202.09373](arxiv.org/abs/2202.09373)__" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "09bddee2", - "metadata": {}, - "outputs": [], - "source": [ - "# create models\n", - "vergani_et_al = dn.model.ThreePortalModel(name='vergani_et_al', m4 = 0.200, Umu4=0.0, epsilon=0.0, mu_tr_mu4=4e-7)\n", - "bertuzzo_et_al = dn.model.ThreePortalModel(name='bertuzzo_et_al', m4 = 0.420, Umu4=np.sqrt(9e-7), Umu5=0.0, UD5=0.0, alpha_epsilon2=2e-10, alphaD=0.25, mzprime=0.03)\n", - "ballett_et_al = dn.model.ThreePortalModel(name='ballett_et_al', m5 = 0.150, m4 = 0.107, mzprime=1.25,\n", - " Umu4=np.sqrt(1.5e-6), Umu5=np.sqrt(0.85e-6), \n", - " UD5=np.sqrt(4/11), UD4=np.sqrt(7/11), \n", - " chi=np.sqrt(1e-5), gD=2)\n", - "abdullahi_et_al = dn.model.ThreePortalModel(name='abdullahi_et_al', m4=0.074, m5 = 0.146, Umu4=0, UD4=0, UD5=1.0, Umu5=np.sqrt(3e-7), alphaD=0.3, epsilon=2.2e-2, mzprime=1.25)\n", - "abdallah_et_al = dn.model.ThreePortalModel(name='abdallah_et_al', m4=0.074, m5 = 0.146, Umu4=0, UD4=0, UD5=1.0, Umu5=np.sqrt(3e-7), alphaD=0.3, epsilon=2.2e-2, mzprime=1.25)\n", - "scalar_l = dn.model.ThreePortalModel(name='light scalar', m4 = 0.200, s_mu4=1e-3, Umu4=0.0, theta=1e-3, mhprime=0.03, epsilon=0.0, gD=0.0)\n", - "\n", - "# dipole interaction flips helicity while dark photon conserves it -- the other helicity channel can be computed, but will be subdominant.\n", - "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'coherent', 'nuclear_target': C12}\n", - "calculator_vergani = dn.UpscatteringProcess(TheoryModel = vergani_et_al, helicity = 'flipping', nu_upscattered=vergani_et_al.neutrino4, **common_kwargs) \n", - "calculator_bertuzzo = dn.UpscatteringProcess(TheoryModel = bertuzzo_et_al, helicity = 'conserving', nu_upscattered=bertuzzo_et_al.neutrino4, **common_kwargs)\n", - "calculator_ballett = dn.UpscatteringProcess(TheoryModel = ballett_et_al, helicity = 'conserving', nu_upscattered=ballett_et_al.neutrino5, **common_kwargs)\n", - "calculator_abdullahi = dn.UpscatteringProcess(TheoryModel = abdullahi_et_al, helicity = 'conserving', nu_upscattered=abdullahi_et_al.neutrino5, **common_kwargs)\n", - "calculator_abdallah = dn.UpscatteringProcess(TheoryModel = abdallah_et_al, helicity = 'flipping', nu_upscattered=abdallah_et_al.neutrino5, **common_kwargs)\n", - "\n", - "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'p-el', 'nuclear_target': C12}\n", - "calculator_vergani_pel = dn.UpscatteringProcess(TheoryModel = vergani_et_al, helicity = 'flipping', nu_upscattered=vergani_et_al.neutrino4, **common_kwargs) \n", - "calculator_bertuzzo_pel = dn.UpscatteringProcess(TheoryModel = bertuzzo_et_al, helicity = 'conserving', nu_upscattered=bertuzzo_et_al.neutrino4, **common_kwargs)\n", - "calculator_ballett_pel = dn.UpscatteringProcess(TheoryModel = ballett_et_al, helicity = 'conserving', nu_upscattered=ballett_et_al.neutrino5, **common_kwargs)\n", - "calculator_abdullahi_pel = dn.UpscatteringProcess(TheoryModel = abdullahi_et_al, helicity = 'conserving', nu_upscattered=abdullahi_et_al.neutrino5, **common_kwargs)\n", - "calculator_abdallah_pel = dn.UpscatteringProcess(TheoryModel = abdallah_et_al, helicity = 'conserving', nu_upscattered=abdallah_et_al.neutrino5, **common_kwargs)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5bb9a649", - "metadata": {}, - "outputs": [], - "source": [ - "Enu_range=np.linspace(0,2,50)\n", - "\n", - "vergani = (calculator_vergani.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vergani_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "bertuzzo = (calculator_bertuzzo.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_bertuzzo_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "ballett = (calculator_ballett.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_ballett_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "abdullahi = (calculator_abdullahi.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_abdullahi_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b187f716", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = dn.plot_tools.std_fig(ax_form=[0.1,0.15,0.88,0.74], figsize=(5,3.6))\n", - "\n", - "l1,= ax.plot(Enu_range, vergani[0], label=calculator_vergani.TheoryModel.name.replace(\"_\",\" \"), c='orange')\n", - "l2,= ax.plot(Enu_range, bertuzzo[0], label=calculator_bertuzzo.TheoryModel.name.replace(\"_\",\" \"), c='purple')\n", - "l3,= ax.plot(Enu_range, ballett[0], label=calculator_ballett.TheoryModel.name.replace(\"_\",\" \"), c='deeppink')\n", - "l4,= ax.plot(Enu_range, abdullahi[0], label=calculator_abdullahi.TheoryModel.name.replace(\"_\",\" \"), c='dodgerblue')\n", - "\n", - "ax.plot(Enu_range, vergani[1], ls='--', c='orange')\n", - "ax.plot(Enu_range, bertuzzo[1], ls='--', c='purple')\n", - "ax.plot(Enu_range, ballett[1], ls='--', c='deeppink')\n", - "ax.plot(Enu_range, abdullahi[1], ls='--', c='dodgerblue')\n", - "\n", - "# ax.set_xscale(\"log\")\n", - "ax.set_yscale(\"log\")\n", - "ax.legend(frameon=False, loc='upper right')\n", - "ax.set_xlim(min(Enu_range), max(Enu_range))\n", - "# ax.set_ylim(1e-42,5e-38)\n", - "\n", - "\n", - "proxy, = plt.plot([0,0],[0,0],linestyle='-',color='black')\n", - "proxy2, = plt.plot([0,0],[0,0],linestyle='--',color='black')\n", - "leg = ax.legend(handles=[l1,l2,l3,l4], frameon=False, loc = \"lower center\", title=r'Benchmarks')\n", - "leg2 = ax.legend([proxy,proxy2], [r\"coherent\",r\"p-elastic\"], frameon=False, loc = \"lower right\", title=r'Scatt regime')\n", - "ax.add_artist(leg)\n", - "\n", - "\n", - "ax.set_xlabel(r'$E_\\nu$/GeV')\n", - "ax.set_ylabel(r'$\\sigma$/cm$^2$/Carbon')\n", - "\n", - "plt.savefig(\"plots/example_2_xsec.pdf\",dpi=400)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "274bb137", - "metadata": {}, - "outputs": [], - "source": [ - "# create models\n", - "dipole = dn.model.ThreePortalModel(name='dipole', m4 = 0.200, mu_tr_mu4=1e-6)\n", - "vector_h = dn.model.ThreePortalModel(name='heavy vector', m4 = 0.200, epsilon=1e-3, Umu4=1e-3, mzprime=1.25)\n", - "vector_l = dn.model.ThreePortalModel(name='light vector', m4 = 0.200, epsilon=1e-3, Umu4=1e-3, mzprime=0.03)\n", - "scalar_h = dn.model.ThreePortalModel(name='heavy scalar', m4 = 0.200, s_mu4=1e-3, Umu4=0.0, theta=1e-3, mhprime=1.25, epsilon=0.0, gD=0.0)\n", - "scalar_l = dn.model.ThreePortalModel(name='light scalar', m4 = 0.200, s_mu4=1e-3, Umu4=0.0, theta=1e-3, mhprime=0.03, epsilon=0.0, gD=0.0)\n", - "\n", - "# dipole interaction flips helicity while dark photon conserves it -- the other helicity channel can be computed, but will be subdominant.\n", - "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'coherent', 'nuclear_target': C12}\n", - "calculator_dipole = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'flipping', **common_kwargs) \n", - "calculator_vector_h = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'conserving', **common_kwargs) \n", - "calculator_vector_l = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'conserving', **common_kwargs) \n", - "calculator_scalar_h = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'flipping', **common_kwargs) \n", - "calculator_scalar_l = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'flipping', **common_kwargs) \n", - "\n", - "common_kwargs['scattering_regime'] = 'p-el'\n", - "calculator_dipole_pel = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'flipping', **common_kwargs) \n", - "calculator_vector_h_pel = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'conserving', **common_kwargs)\n", - "calculator_vector_l_pel = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'conserving', **common_kwargs)\n", - "calculator_scalar_h_pel = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'flipping', **common_kwargs)\n", - "calculator_scalar_l_pel = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'flipping', **common_kwargs)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bb65f1b5", - "metadata": {}, - "outputs": [], - "source": [ - "# dipole interaction flips helicity while dark photon conserves it -- the other helicity channel can be computed, but will be subdominant.\n", - "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'coherent', 'nuclear_target': C12}\n", - "calculator_dipole_subd = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'conserving', **common_kwargs) \n", - "calculator_vector_h_subd = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'flipping', **common_kwargs) \n", - "calculator_vector_l_subd = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'flipping', **common_kwargs) \n", - "calculator_scalar_h_subd = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'conserving', **common_kwargs) \n", - "calculator_scalar_l_subd = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'conserving', **common_kwargs) \n", - "\n", - "common_kwargs['scattering_regime'] = 'p-el'\n", - "calculator_dipole_pel_subd = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'conserving', **common_kwargs) \n", - "calculator_vector_h_pel_subd = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'flipping', **common_kwargs)\n", - "calculator_vector_l_pel_subd = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'flipping', **common_kwargs)\n", - "calculator_scalar_h_pel_subd = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'conserving', **common_kwargs)\n", - "calculator_scalar_l_pel_subd = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'conserving', **common_kwargs)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "00b7e894", - "metadata": {}, - "outputs": [], - "source": [ - "Enu_range=np.linspace(0,2,200)\n", - "\n", - "# dominant\n", - "dipole_xs = (calculator_dipole.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_dipole_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "vector_h_xs = (calculator_vector_h.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_h_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "vector_l_xs = (calculator_vector_l.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_l_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "scalar_h_xs = (calculator_scalar_h.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_h_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "scalar_l_xs = (calculator_scalar_l.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_l_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "aa0ac6fb", - "metadata": {}, - "outputs": [], - "source": [ - "# sub-dominant\n", - "dipole_xs_subd = (calculator_dipole_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_dipole_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "vector_h_xs_subd = (calculator_vector_h_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_h_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "vector_l_xs_subd = (calculator_vector_l_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_l_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "scalar_h_xs_subd = (calculator_scalar_h_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_h_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", - "scalar_l_xs_subd = (calculator_scalar_l_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_l_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "863e0665", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = dn.plot_tools.std_fig(ax_form=[0.2,0.15,0.75,0.74], figsize=(5,3.6))\n", - "\n", - "\n", - "l2,= ax.plot(Enu_range, (vector_h_xs[0]+vector_h_xs_subd[0])/np.max(vector_h_xs+vector_h_xs_subd), label=vector_h.name.replace(\"_\",\" \"), c='deeppink')\n", - "l4,= ax.plot(Enu_range, (scalar_h_xs[0]+scalar_h_xs_subd[0])/np.max(scalar_h_xs+scalar_h_xs_subd), label=scalar_h.name.replace(\"_\",\" \"), c='dodgerblue')\n", - "\n", - "ax.plot(Enu_range, vector_h_xs[1]/np.max(vector_h_xs), ls='--', c='deeppink')\n", - "ax.plot(Enu_range, scalar_h_xs[1]/np.max(scalar_h_xs), ls='--', c='dodgerblue')\n", - "\n", - "\n", - "# ax.set_xscale(\"log\")\n", - "ax.set_yscale(\"log\")\n", - "ax.legend(frameon=False, loc='upper right')\n", - "ax.set_xlim(min(Enu_range), max(Enu_range))\n", - "ax.set_ylim(1e-2,2)\n", - "\n", - "\n", - "proxy, = plt.plot([0,0],[0,0],linestyle='-',color='black')\n", - "proxy2, = plt.plot([0,0],[0,0],linestyle='--',color='black')\n", - "leg = ax.legend(handles=[l2,l4], frameon=False, loc = (0.2,0.025), title=r'')\n", - "leg2 = ax.legend([proxy,proxy2], [r\"coherent\",r\"p-elastic\"], frameon=False, loc = (0.7,0.25), title=r'Scatt regime')\n", - "ax.add_artist(leg)\n", - "ax.set_title(r\"Normalized cross sections for heavy mediators\")\n", - "\n", - "\n", - "ax.set_xlabel(r'$E_\\nu$/GeV')\n", - "ax.set_ylabel(r'$(\\sigma/\\sigma^{\\rm max}_{\\rm total}$) on Carbon')\n", - "\n", - "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_heavy.png\",dpi=400)\n", - "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_heavy.pdf\",dpi=400)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e6ae8b79", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = dn.plot_tools.std_fig(ax_form=[0.2,0.15,0.75,0.74], figsize=(5,3.6))\n", - "\n", - "l1,= ax.plot(Enu_range, (dipole_xs[0]+dipole_xs_subd[0])/np.max(dipole_xs+dipole_xs_subd), label=dipole.name.replace(\"_\",\" \"), c='orange')\n", - "l3,= ax.plot(Enu_range, (vector_l_xs[0]+vector_l_xs_subd[0])/np.max(vector_l_xs+vector_l_xs_subd), label=vector_l.name.replace(\"_\",\" \"), c='deeppink')\n", - "l5,= ax.plot(Enu_range, (scalar_l_xs[0]+scalar_l_xs_subd[0])/np.max(scalar_l_xs+scalar_l_xs_subd), label=scalar_l.name.replace(\"_\",\" \"), c='dodgerblue')\n", - "\n", - "ax.plot(Enu_range, (dipole_xs[1]+dipole_xs_subd[1])/np.max(dipole_xs+dipole_xs), ls='--', c='orange')\n", - "ax.plot(Enu_range, (vector_l_xs[1]+vector_l_xs_subd[1])/np.max(vector_l_xs+vector_l_xs), ls='--', c='deeppink')\n", - "ax.plot(Enu_range, (scalar_l_xs[1]+scalar_l_xs_subd[1])/np.max(scalar_l_xs+scalar_l_xs), ls='--', c='dodgerblue')\n", - "\n", - "# ax.set_xscale(\"log\")\n", - "ax.set_yscale(\"log\")\n", - "ax.legend(frameon=False, loc='upper right')\n", - "ax.set_xlim(min(Enu_range), max(Enu_range))\n", - "ax.set_ylim(1e-2,2)\n", - "\n", - "\n", - "proxy, = plt.plot([0,0],[0,0],linestyle='-',color='black')\n", - "proxy2, = plt.plot([0,0],[0,0],linestyle='--',color='black')\n", - "leg = ax.legend(handles=[l1,l3,l5], frameon=False, loc = (0.2,0.025), title=r'')\n", - "leg2 = ax.legend([proxy,proxy2], [r\"coherent\",r\"p-elastic\"], frameon=False, loc = (0.7,0.15), title=r'Scatt regime')\n", - "ax.add_artist(leg)\n", - "ax.set_title(r\"Normalized cross sections for light mediators\")\n", - "\n", - "ax.set_xlabel(r'$E_\\nu$/GeV')\n", - "ax.set_ylabel(r'$(\\sigma/\\sigma^{\\rm max}_{\\rm total}$) on Carbon')\n", - "\n", - "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_light.png\",dpi=400)\n", - "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_light.pdf\",dpi=400)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "134a0137", - "metadata": {}, - "source": [ - "## More cross sections\n", - "\n", - "Now one can compute cross sections for a series of models and targets. The\n", - "\n", - "Below, we define a function that computes several examples." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "solved-desire", - "metadata": {}, - "outputs": [], - "source": [ - "def compute_xsecs(m4, mzprime, **kwargs):\n", - " \n", - " #########################\n", - " # Set BSM parameters\n", - " bsm_model = dn.model.ThreePortalModel(mzprime=mzprime, m4 = m4, **kwargs)\n", - " \n", - " TARGETS = [proton, C12, Ar40]\n", - " REGIMES = ['coherent','p-el']\n", - " HEL_CASES = ['conserving','flipping']\n", - "\n", - " myMCs = {}\n", - " for target in TARGETS:\n", - " for regime in REGIMES:\n", - " for hel in HEL_CASES:\n", - " key = f'{target.name}_{hel}_{regime}'\n", - " myMCs[key] = dn.UpscatteringProcess( \n", - " TheoryModel = bsm_model, \n", - " nu_projectile=pdg.numu,\n", - " nu_upscattered=pdg.neutrino4,\n", - " scattering_regime = regime,\n", - " nuclear_target= target,\n", - " helicity = hel)\n", - "\n", - " mc_lowT=myMCs['Ar40_conserving_coherent']\n", - "\n", - " enu_axis = np.geomspace(mc_lowT.Ethreshold*0.99, 20, 10)\n", - " np.append(mc_lowT.Ethreshold*1.01, enu_axis)\n", - " sigmas = {}\n", - " for key, mc in myMCs.items():\n", - " sigmas[key] = []\n", - " print(key)\n", - " sigmas[key] = mc.total_xsec(enu_axis)\n", - " mc.sigmas = sigmas[key]\n", - " mc.enu_axis = enu_axis\n", - " return myMCs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "compound-breach", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "mcs_H_150 = compute_xsecs(0.150, 1.25, HNLtype=\"majorana\")\n", - "mcs_H_420 = compute_xsecs(0.420, 1.25, HNLtype=\"majorana\")\n", - "mcs_L_150 = compute_xsecs(0.150, 0.03, HNLtype=\"majorana\")\n", - "mcs_L_420 = compute_xsecs(0.420, 0.03, HNLtype=\"majorana\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "desirable-developer", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "def fix_label(label):\n", - " return label.replace(\"_\", \" \").replace(\"conserving\", \"HC\").replace(\"coherent\", \"coh\").replace(\"flipping\", \"HF\")\n", - "\n", - "def plot_xsecs(theseMCs, regime = 'coherent'):\n", - " fig, ax = dn.plot_tools.std_fig(figsize=(6,4))\n", - "\n", - " all_args={\n", - " f'H1_conserving_{regime}': {'color': 'black', 'ls': '-'},\n", - " f'C12_conserving_{regime}': {'color': 'royalblue', 'ls': '-'},\n", - " f'Ar40_conserving_{regime}': {'color': 'violet', 'ls': '-'},\n", - " f'H1_flipping_{regime}': {'color': 'black', 'ls': '--'},\n", - " f'C12_flipping_{regime}': {'color': 'royalblue', 'ls': '--'},\n", - " f'Ar40_flipping_{regime}': {'color': 'violet', 'ls': '--'},\n", - " } \n", - " \n", - " for key, mc in theseMCs.items():\n", - " if regime in key:\n", - " if regime == 'coherent' and \"H1\" in key:\n", - " continue\n", - " else:\n", - " sigmas = mc.sigmas\n", - " enu_axis = np.geomspace(mc.Ethreshold*0.99, 20, len(sigmas))\n", - "\n", - " ls = '-' if ('conserving' in key) else '--'\n", - " args = all_args[key]\n", - " p = mc.TheoryModel\n", - " norm = (p.Umu4*p.epsilon*dn.const.eQED*p.gD*p.UD4*mc.target.Z)**2\n", - "# print(norm/(mc.Vij**2*mc.ups_case.Vhad**2))\n", - " # if 'conserving' in key:\n", - " ax.plot(enu_axis, sigmas/norm, label=fix_label(key), **args)\n", - " # else:\n", - " # ax.plot(enu_axis, sigmas/norm, **args)\n", - "\n", - " ax.set_title(fr'$m_{{Z^\\prime}}= {mc.mzprime:.2f}$ GeV, $m_4 = {mc.m_ups*1e3:.0f}$ MeV')\n", - " ax.set_yscale(\"log\")\n", - " # ax.set_xscale(\"log\")\n", - "\n", - " ax.set_xlabel(r\"$E_\\nu$ (GeV)\")\n", - " ax.set_ylabel(r\"$\\sigma/(Z e \\epsilon V_{\\mu 4})^2$ (cm$^2$)\", fontsize=12)\n", - " ax.set_xlim(0.1,np.max(enu_axis))\n", - "# ax.set_ylim(1e-34,1e-26)\n", - "\n", - " ax.legend(loc=\"best\", frameon=False)\n", - " ax.grid(which='major', lw=0.5)\n", - "\n", - " # dn.plot_tools.std_savefig(fig, f\"plots/xsecs/example_3+1_{mc.ups_case.mzprime:.2f}_{mc.ups_case.m_ups*1e3:.0f}_{regime}.pdf\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "portuguese-driver", - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "plot_xsecs(mcs_H_150, regime = 'coherent')\n", - "plot_xsecs(mcs_H_150, regime = 'p-el')\n", - " \n", - "plot_xsecs(mcs_H_420, regime = 'coherent')\n", - "plot_xsecs(mcs_H_420, regime = 'p-el')\n", - " \n", - "plot_xsecs(mcs_L_150, regime = 'coherent')\n", - "plot_xsecs(mcs_L_150, regime = 'p-el')\n", - " \n", - "plot_xsecs(mcs_L_420, regime = 'coherent')\n", - "plot_xsecs(mcs_L_420, regime = 'p-el')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "chief-concentration", - "metadata": {}, - "source": [ - "#### Differential cross section" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "synthetic-associate", - "metadata": {}, - "outputs": [], - "source": [ - "from DarkNews import phase_space as ps\n", - "Enu = 2\n", - "fig, ax = dn.plot_tools.std_fig(ax_form=[0.1,0.15,0.88,0.74], figsize=(10,7))\n", - "def plot_diff_xsec_Q2(MCs, Enu):\n", - " \n", - " for key, mc in MCs.items():\n", - " Q2range=np.geomspace(ps.upscattering_Q2min(Enu, mc.m_ups, mc.MA),\n", - " ps.upscattering_Q2max(Enu, mc.m_ups, mc.MA),\n", - " 1000)\n", - " ax.plot(Q2range, mc.diff_xsec_Q2(Enu=Enu, Q2 = Q2range), label = f'{key}'.replace('_', ' ').replace('flipping','HF').replace('conserving','HC').replace('coherent','coh'))\n", - "\n", - "\n", - "plot_diff_xsec_Q2(mcs_L_150, Enu)\n", - "plot_diff_xsec_Q2(mcs_L_420, Enu)\n", - "ax.legend(loc='lower left', ncol=4, frameon=False)\n", - "ax.set_yscale(\"log\")\n", - "ax.set_xscale(\"log\")\n", - "ax.set_xlabel(r\"$Q^2$/GeV$^2$\")\n", - "ax.set_ylabel(r\"$d\\sigma/dQ^2$ (cm$^2$)\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "40490272", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9.12 ('base')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.0" - }, - "vscode": { - "interpreter": { - "hash": "3067ead486e059ec00ffe7555bdb889e6e264a24dc711bf108106cc7baee8d5d" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/Example_1_xsecs.ipynb b/examples/Example_1_xsecs.ipynb new file mode 100644 index 0000000..c5c585e --- /dev/null +++ b/examples/Example_1_xsecs.ipynb @@ -0,0 +1,732 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "breeding-basic", + "metadata": {}, + "source": [ + "# Example 1\n", + "---\n", + "\n", + "This notebook demonstrates how to obtain differential and total cross sections for upscattering processes." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "00671c2d", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "activated-march", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import DarkNews as dn\n", + "from DarkNews import pdg\n", + "\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "5e21e347", + "metadata": {}, + "source": [ + "### 1) First cross checks of NC cross sections\n", + "\n", + "Let's check that the `neutral current` cross section behaves like the SM one in the low-energy limit. We compare our Z exchange xsec with the total neutrino xsecs (file taken from GLoBES, refs: Messier:1999kj, Paschos:2001np)\n", + "\n", + "We currently do not have the DIS regime included, so we expect agreement only at the lowest energies.\n", + "\n", + "--- \n", + "We start by defining an instance of a model with no additional new physics on top of the minimal HNL model (only nu-N mixing).\n", + "\n", + "Then we define instances of XsecCalc, which is our xsec calculator object. They can compute differential cross sections (in Q^2) or total cross sections (integrated with Vegas). We are interested in the latter here.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "indoor-vermont", + "metadata": {}, + "outputs": [], + "source": [ + "# targets\n", + "proton = dn.NuclearTarget(\"H1\")\n", + "C12 = dn.NuclearTarget(\"C12\")\n", + "Ar40 = dn.NuclearTarget(\"Ar40\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4178eff0", + "metadata": {}, + "outputs": [], + "source": [ + "# model\n", + "NC_test = dn.model.ThreePortalModel(name='NC_test', m4 = 0.001, Umu4=1e-3, epsilon=0.0, gD=0.0)\n", + "\n", + "# xsec calculators\n", + "common_kwargs = {'nu_projectile': pdg.numu, 'nu_upscattered': pdg.neutrino4, 'helicity': 'conserving', 'nuclear_target': C12}\n", + "calc_NC_coh = dn.UpscatteringProcess(TheoryModel = NC_test, scattering_regime = 'coherent', **common_kwargs) \n", + "calc_NC_pel = dn.UpscatteringProcess(TheoryModel = NC_test, scattering_regime = 'p-el', **common_kwargs) \n", + "calc_NC_nel = dn.UpscatteringProcess(TheoryModel = NC_test, scattering_regime = 'n-el', **common_kwargs) \n", + "\n", + "# calculating them\n", + "Enu_range = np.geomspace(0.01,2e2,50)\n", + "xsecs_NC = (calc_NC_coh.total_xsec(Enu_range, NEVAL=1000, NINT=10), \n", + " calc_NC_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10),\n", + " calc_NC_nel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "039a4a21", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "maj: tot_sigma = 3.8554750953418424e-40\n", + "dir: tot_sigma = 3.835995168733896e-40\n" + ] + } + ], + "source": [ + "maj_test = dn.model.ThreePortalModel(name='maj_test', m4 = 0.2, Umu4=np.sqrt(2.2e-7), epsilon2=4.6e-4, alphaD=0.4, UD4=1, HNLtype='majorana', mzprime=1.25)\n", + "dir_test = dn.model.ThreePortalModel(name='dirac_test', m4 = 0.2, Umu4=np.sqrt(2.2e-7), epsilon2=4.6e-4, alphaD=0.4, UD4=1, HNLtype='dirac', mzprime=1.25)\n", + "\n", + "calc_maj_coh = dn.UpscatteringProcess(TheoryModel = maj_test, scattering_regime = 'coherent', **common_kwargs) \n", + "calc_dir_coh = dn.UpscatteringProcess(TheoryModel = dir_test, scattering_regime = 'coherent', **common_kwargs) \n", + "\n", + "print(f'maj: tot_sigma = {calc_maj_coh.total_xsec(Enu=1.0, NEVAL=1000, NINT=10)}')\n", + "print(f'dir: tot_sigma = {calc_dir_coh.total_xsec(Enu=1.0, NEVAL=1000, NINT=10)}')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "be5ae691", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, '$d\\\\sigma/dQ^2$ (cm$^2$)')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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5DdE1H8Zz49+QnmZPQZQik5MSnzGmxEdERsw0OfzC47z65x+x8OXfMsc8OuiUV5jNr1ZWceONXlbO02eMyIUo8RljSnxEZFREo7z81MMc+8tPWHZ4J07aAOgwHVzV9W06yODKxU4+eNUS3rV6AekaHi8yJC1ZISIyGVgsLLpyHYuuXIfZ282Lf6qj74nvs6d9Jh30L4+x52CEPQcjHPnN17l06Xwue/vfMXv27BQHLjJ5qcZnBFTjIyJjqbWji188+So/ffwgz73aRjYn+Kvj02QaXZwwM2jMewfzij/DilVXpDpUkQlBTV1jTImPiIwH0zTZfTDC7t9+j4+/+tW4Y32mwWMzbiZn/R1ceuVVKYpQZGJQ4jPGlPiIyHg72rSLV/7v31l55AHSOb1URtQ0eDzzjWR47+DKtdelMEKR1FHiM8aU+IhIqpyKHOGFB/6DZS/9D87XF1Ed8EhGMdnvvw/PktwURSeSGol8L1vGKSYRERkFGc45rP7g15lR/ix7Vn2eMKdXhH+8LZf3fvtR/u7HjTQf60hhlCITl2p8RkA1PiIyUfR2nuDZX/8Xac/W8Z6TX6ST/sVQbRaDjxfm8cmbLsaV60pxlCJjS01d5xAIBAiFQpSWlgJQV1dHOBzG5er/UPD5fMO6jxIfEZloenr7qGl4mX8PvMSxE10AfNH2I95pe4yX1nyR697xcSxWVfLL1KSmrnOorKyMbUciEWpqaigtLcXn81FTU0MkEkldcCIiSbDbrHzoDUv5/e038g/ei7k47Tgfse5kHsd5467PsetuLy8+uyfVYYqk3IRIfEKhEOXl5fj9/iGPV1VVUVdXF/t3JPx+PyUlJbH9hoaGWE0PgNvtJhAIjOjeIiITxQyHjX/wLuenpdcQmumJla/taWRpzToeum8znV1dKYxQJLVSnvgEAgGCwSDBYHDIGpeysjI8Hg8+n4/NmzdTU1NDMBhM6BnBYBCv1xtXFgqFcDqdsf28vDxCodBIfgURkQln1qKLWfWFnbxww7c5YvSv+u4werj5lWr2VV7LM3seT3GEIqmR8sTH6/Xi8/nikpAz+f3+uKSluLiY6urqhJ4RCoVwu91xZWcnWcePH0/oniIiE55hsOKmD+K8fRe7Fn+EPtMAYGV0Lxfd/1Ye+u6ddPf0pjhIkfE1odfqCgQCQyZEZzZJ+f1+mpqahry+oqKC7du3A/0dmRsbGwmHwxQWFuJ2u+Oui0QiFBUVje4vICIyAaRlZrPmE//Fwadugf/9JIv7DuIwern54Le47997ecsnvsJiV2aqwxQZFxM68Rmq6cvlchEOh2P7AyO0zuXM46FQiLVr1+LxeHC73dTU1MSOhcPhQc1hIiJTyeLL30jvxY+x+8flXHHgR7xgLube49fwn//5R+7xXclbLpuX6hBFxtyETnzOHGo+wOl0jmj0VTAYpL6+HoDCwkI8Hg8bN26MdZbeuHHjOZvburq66DqjM2BbW1vCzxcRmQhs6TNY/YlvEnr8bXz94TBd3Wl0dfZy248a2fTGfO546yqsFiPVYYqMmQmd+Jyd9EB/LdC5EpTz8Xg8scRnwHDn7dmyZQt33XVXws8UEZmo3Fe9jW9f0UPF/U/xwJOvAvDbPz3GG57fwlVl3yZrZlaKIxQZGynv3Hw+TqczrlkLhq4FGmsVFRW0trbGfg4ePDiuzxcRGQvZ6Xa++f41fO3dl+K0nGKb/V9Z1/5LDv7bOl55eX+qwxMZExM68fF6vYOatSKRyLj3xXE4HGRnZ8f9iIhMBYZh8OFrlvHDd8xkqeUIAJf0vYC5zUvTi0+lODqR0TehEx/ob446cxRXfX09ZWVlKYxIRGTqufzatxDe+EuOGHkALOIIWT95J8/u+WuKIxMZXSnv4zMwgeHAOlrQn+wMzLtTW1tLeXk5oVCISCQSm9BQRERG18JVb6D1tkfY738HS/v2M4cWHPe/l90nf8jqa9alOjyRUTGtFikdLVqkVESmso6WIxz+9tsp6HkRgHYzg33v+BmXF92Y2sBEzkGLlIqIyIjNyJ3Dws/W83z6agCyjFMs+vWHeO5JLXMhk58SHxERGSR9phP3Zx/gBcflAOQa7Tx+/3/ywuH2FEcmkhwlPiIiMqS0jJks/ftf0WS/mP/uXc9XOjfyt99/gqPtWt1dJi8lPiIick7pWbnM/UyAn8/9NCYWXomcouyHDXT29KU6NJERUeIjIiLnNTPLybaPFjEvOx2A4IEIX97RgMbGyGSkxEdERC5oTnY62z5aSIbdisd4kU8/9wH+8uv/TnVYIglT4iMiIsNy2cIcvlOcxva0r7LIOMZlDV9k395nUx2WSEKU+IiIyLDd+MabeMZ5IwDZxklO/fRjdHWrs7NMHkp8RERk+AyD5Z/4Hocs8wBY1fcCf/3Jv6Q4KJHhU+IjIiIJycjOpeudW4maBgBXNW8l9MKTKY5KZHiU+IiISMLy19zErvklAGQY3bTXfRozGk1xVCIXpsRHRERG5NIP38thYw4AV/bs5vGdP01xRCIXpsRHRERGJH1GDseu+afY/tzHvk5nZ2cKIxK5MCU+IiIyYpd6P8yLaZcAsCj6KvX/98txj8E0TXr7ovT0qalNLsyW7A12795NOBwmEongdDpxu90sW7ZsFEITEZGJzrBYsL/tbh7c8WW+0fsBWp/KpfhtfaTbraP+rGjU5PnnnuLIMw9jvBLk2e653NddTLijO3bOdx3/ymJLmHabi/YsN9FZK8jOX8uKK68hKzNj1GOSyWdEic+DDz5IdXU1zc3NuN1u8vPzAYhEIoTDYZqbmyksLKS8vFxJkIjIFJe/+gbuffb/0fTkq3Cim589foCPXZc/avc//Nphnv31f7H45V9xibmfS14v7+5bS7jnhrhzLzIPstQ8Aj3NEG6EMPAitP8ug8a0S2hddBOLrrmFiy9ejmEYoxajTB4JJT6tra2Ul5dTWFjI9u3bz3tuc3MzW7duZdasWXzhC19IKkgREZnY/v6mi3jgyVcB8P8hxIfesBSbNbneFJHWCLt+/M8Uvbadm43BfYfmG2EWOjOYNTMN++vPshy10xu1YiN+EdUs4xRrexqhuRGa7+Xf0koxizbxvqLFLHCqJmg6McxhrjLX2tqK3+/n9ttvT+gBzc3N7NixY0olP21tbeTk5NDa2kp2dnaqwxERmRD+9vtP8NDzRwCT725czro1y0d8r8cf+jkL/7CZhRyJK29KW0n7Ui+5y69j4aqrsc3MG3yxadLZ8gqvNT1J24En4eDjLGwN4jJbYqe8vesbPGMuw2LATSvm8NFrlvLG5bNVCzRJJfK9POzEZyoIBAKEQiFKS0sBqKurIxwO09jYSHFxMT6fb1j3UeIjIjLY7589yCM/ruRD1gCRzGWsveN3Cd/DNE1+VFfHB57ehNXo/3rqMa08M+/dLHn7ZlxLVo0sONPkeGgXBx/dTvTlRnxtn41NwAjwbsuf+MiMx+i9/nMUvfHtWCxKgCaTRL6Xh93U1dbWRkNDA4WFhbGbPvTQQ3H7E11lZSUlJf0TboVCIYBYEpSbm4vX68XpdKYqPBGRSe2Ny+exKu03zDGP03fqMAebX2Bx/ophXx+Nmnzpl0/z48Z05tnXUGwN8kL6alwbv8nq/MuTC84wyCvwkFfgAeDR1k5qnjhIzRMHeLX1JJ+y/YLlPa/Awx9k9x+vwPR+lTVvuCm5Z8qENKwG2B07drBs2TLuvvtu8vPz2bZtGwAej4fc3NykgwiFQpSXl+P3+4c8XlVVRV1dXezfkfD7/bGkB/o7YtfU1MT2CwsLaWhoGNG9RUQELDY7+5f2f85aDZMDv/9BQtf/v/oX+dFfD2Bi4fO9n+Sx5Z9n+e0PMjvZpGcI83LS+az3Yv5YfjPfe888cmw9sWOre59kze/ew5/v2UCo6YVRf7ak1rASn0AgQDgcZufOnRw/fpyWlha2bduG0+kkJycnqQACgQDBYJBgMEgkEhl0vKysDI/Hg8/nY/PmzdTU1BAMBhN6RjAYxOv1xpV5PB5qa2tj+wO1WSIiMnJLbvp4bHvOgd8M+7oHnnyVbz68FwCLAV/beB1Xf+BLGNakZ105L6vF4KY3FDHnzmd47upKXrXMjx27riPAvB+8kYf++0t0dmkF+qliWImPx+OJ27/99tvJz89nx44dSXcE83q9+Hy+czYx+f3+uKSluLiY6urqhJ4RCoVwu93nPF5VVUVlZaWauUREkjR36Ur22i4G4OJoiOYX9lzwmmNHX6P3/tuYx3EAvvj2S3j36oVjGufZDFsaq956G3Mr9vDUZXfQxkwAMo0ubt7/H+yvfAO7H3tkXGOSsTGsVNrlcrFjxw62b98eax5at24dwWCQsewbHQgEhkxGAoFAbNvv99PU1DTk9RUVFbFh93V1dTQ2NhIOhyksLIwlcwPPGOjrIyIiyWnJfwe89G8AvPLnn5K/4srznv/iDz/Lu3mEmxyP8cNFX+Fvr3vbeIQ5JIvdweW+CjrfXMrun5ZzxaE6LIbJimiIxx4o5yuHv8sdb1s1JhM0yvgYVuKzYcOG2GSFZ/J4PDQ2No5JYMCQTV8ul4twOBzbv1DCcubxUCjE2rVrY0nPQPNaaWkpkUiEhoaGQU1iIiKSmGU3fDCW+OQdevi85z63689c2/ZboL+J6wPvWD8hhpSnZ+exumwbB5/8EOYvP0tuz2t8oaeMg3/Zz1+bw/zH+9awYl5WqsOUERh24+nA7MzDKd+3b9+ozNgcDodxuVxxZU6nc8iE6EKCwSD19fVAf0dmp9PJunXrANi0aRORSISWlpYhr+3q6qLrjPbdtra2hJ8vIjJdzF50MfstS1gaPcDynhcIH3sN16y5Q557on5LbPvFVZ/GM3/0ZnweDYuvuJHoqsf59YMPc+RPJvRGef5wO+/85p+4661u3netZoCebJJepLStrY19+/bF/ZSXl49GbIOSHiC2JliiPB4P9fX11NfX4/F4cLvdtLS0xH5M0zznfbds2UJOTk7sZ/HixQk/X0RkOnlt9rVA/+iuvY8N3cn5xacep+jkHwE4Ri6Xvesfxiu8hFjsDt71lrfwq09fz8rXa3msvSdZ/X8+HvnW39HZ1X2BO8hEklTic8899+B0OmPNRwM/Ix1yfjan0xnXrAVD1wKNtYqKClpbW2M/Bw8eHNfni4hMNjNWFQPQZxq0HHx2yHOOPfKd2Pb+FZ8gLWPGuMQ2UsvnZvG/n7qOj12zlHvsflZZDnDTsZ/w7L1v4fBrh1IdngxT0uMEo9HooLI77rgj2dsC/SO+zm7WikQi494Px+Fw4HA4xvWZIiKT2bK1xXxg5xfZHS1gSeds1p91/OTJDi45thMMOGWmsertn0pJnIlKt1v5yrsu5anem+h98nFsRhRPTyMvf+dGntvwY1ZdXpTqEOUCkqrxOdcQ8TvvvDOZ28bx+Xxxo7jq6+spKysbtfuLiMjom5GVQ2TuNZwknRdea6e9syfu+LN/+DlO4wQAzzlvIDN7fGvyk2IYXL7hDg6+82e00L9ywSJeY37du2n4wwMpDk4uJOnEZ/fu3YPKt2zZMvjkcwgEAlRVVREIBKipqaGqqiq2nARAbW0t9fX1+P1+qqqqYhMaiojIxOZZ6gTANGHPwda4Y73Pn+73k7bmlvEMa9TkF67HKPsDzbYCAJxGB5c/+FH++IvvpjgyOZ+kFindsWMHmzZtorW1NdYxuKWlBcMw6OvrG60YJxwtUioicmE7Gl/m87X9Exje8daV3HZDf4LQ1xfl8NdWsJAjnDLTsNzRjCNjZipDTUpXR4TQt3ysOvkEAFHT4JGCL3DTh7+oEV/jJJHv5aRqfOrr63nwwQcJh8OEQiFCoRDhcJhNmzYlc1sREZkCVrmg1Por7rVvZcnT346VP3e4nTd3bqGs+x/41axbJ3XSA+CY4WTFP/6GJ2f1T7xoMUxuDt3Djp9Uj+kkvzIySSU+JSUlrFmzJm6ot9PpHLXh7CIiMnm552Rxp/2n+Kx/oKDlD7HyXQda6CCD/4teRYdnasyab7GnccWnfsLuZbcCsLNvLXc8NZ+7fvWskp8JJqnExzCMISfze/DBB5O5rYiITAHpM3J41ZgDwKKeA0T7+kcB7zoYiZ2zZkluKkIbG4bB6o/9K39efQ+f7v0Mvdj4/qP7uPPnTxONKvmZKJIazr59+3bKyspwOp2xuXVM06SxsZFbb711VAIUEZHJ62hGPvNPHmGG0ckrB15iYf4Kdh+IAJBmtbBq/tRb9uG695Ty9cUvs7luD1ETfvr4AdKjJ/nShqvU52cCSCrxaWhoYPPmzYMmFEx09XQREZmaTjmXw8nHADi670my8+bwscg32W0p4MTcq3DYpuZin761i0izWfjHmt0sMA/z8Sc/y8OtG7npb/9FyU+KJZX4VFZWxta7OtO55vcREZHpxZJXAK9Patx5pJnDzc/xEVs9H6GeBnM/sCGl8Y2ld125AGtXK2sf+DvmGS0sOfhNHv5xFjd9aHQm+ZWRSaqPz1BJz759+1izZk0ytxURkSkic+7pP4TNln20vvJ8bL/POfX/SH77Vas4vOLDsf0bXrqb39d9M4URSVKJz44dO7BarTz00EOxsqamprh9ERGZvnIXXBzbTms/SPeRvaf351w81CVTzur3f5XdSz4G9A91v/apL/FYYEdqg5rGkl6dfe/evdx8882x/XXr1g1aX0tERKan2YtO1+rM6DqCNdIc289ZuCIVIY0/w2D1x/+d3XP7m/XsRh+X/PFTPLPr0RQHNj0llfi0tLSQn58/qPzsFdVFRGR6sqelE6F/5FZO73FmdhyIHZuXvzJVYY0/w+DKUj9PZ10PQJZxCtcvPsTBfU0pDmz6SSrxaWhoYM+ePXFlu3fvpqGhIamgRERk6vhT2vVs772B2r4bmNPzCgDHySEzaxItTDoKDKuN5X9XQ5N9OQDzOU7nDzYQblFlwXhKaq2u1tZW1q1bR3NzM263m1AohMvlorGxcUqvYaW1ukREhu8j33ucP7x4FCt9vOT4CBbD5EXbcpb/0xOpDi0l2o+/Qsc3b2SeeQSAH2XfysbP3oPdmnTvk2krke/lpIaz5+Tk0NDQQCAQiCU/Q430EhGR6Wv2TAcALtqwGP1/a59My0tlSCmVlbeQkx+uI/KDt3Ffz9v41pGbaPrNc3z5nZemOrRpIanEZ4DX6x2N24iIyBSUm2kHYLbRGivrTp+VqnAmhLnuK9n9gT/h/5/nAJP//vM+Ll+Yw3s9i1Id2pQ37Hq11tZW7r333oQf0NbWNqLrRERkasjJ6E98DODx6Ar2RhfQNXNxaoOaAFYvz+eud10W26+4/ymeOmMdMxkbw058cnJy2LBhA7fddtuw5+m57777KC8v5wtf+MKIAxQRkcltTctvedJxK79K+yI/7b0Zb/e9NK8qS3VYE8IHrl7C+69aAsCa6NP0fe+ttKiz85hKqKkrPz+frVu3ct9993H33XeTm5tLUVERTqcTgEgkwvHjx2lsbCQ3N5eysjI2bdo0FnGLiMgkkeFII9s4CYDTONH/b2ZaKkOaUL7yrkuYve+XfKb1XmxmlEe/W8o1n6/Vml5jZERdyDdt2sTOnTvx+/3k5+djmiYtLS3k5OTg9XrZuXMnNTU1cRMbiojI9GSfeXrYeo7RAUCWY1S6mE4JDpuVD7/3b+gy+pPBa0/U88e6/0pxVFNX0qO6NmyYPAvMBQIBQqEQpaWlwyoXEZHkOc6YryeH1xOfdCU+Z5q97BKeecPXufSvnwdg7dP/wouXXM/ySz0pjmzqmVaTBlRWViZULiIiyUufeXro+sdt/8cP7Ftw9hxOYUQT06VvuZXdeW8HYIbRhWXHx+no6EhxVFPPhEh8QqEQ5eXl+P3+IY9XVVVRV1cX+3ck/H4/JSUlwy4XEZHRkZaRGbf/JutTzEyzpiiaie2ST1TzsqV/SPtF0X00/s/mFEc09aQ88QkEAgSDQYLB4JCLm5aVleHxePD5fGzevJmamhqCwWBCzwgGg0PONXSuchERGT1p6ZmDyjKyp9dyFcOVlpmFpeR7dJv9ieF1r/2YPX8NpDiqqSXliY/X68Xn88VGhp3N7/fHJSfFxcVUV1cn9IxQKITb7R52uYiIjB5HxoxBZTOznOMfyCSxYNXVPHPxbQBYDRPn/32G9va2FEc1dUzo3mWBQGDIhCgQOJ39+v1+mpqGXt22oqKC7du3A1BXV0djYyPhcJjCwsLYQqpnl3s86kgmIjKa0tPjE5+TpoNMmz1F0UwOV77vLpoq6ynoeZF50SP8z/0/p/SjH011WFPCsBOftrY2GhoaKCwsjC0A9tBDD8Xtj7ahmr5cLhfh8OnJnS40EuvM46FQiLVr1+LxeOISnDPLRURkdNnSHPSaFmxGFIBuw87gxi85k8VmJ/MWPw0/uo3y7k/Q9Nws1uwLU7RMTYTJGlZT144dO1i2bBl33303+fn5bNu2DQCPx0Nubu6YBRcOh3G54v8nO53OIROiCwkGg9TX11NbWxvXR+hc5Wfq6uqira0t7kdERIbvC/xjbLt3Yjc2TBjzL17DM+traDIXAvBPP3+anr5oiqOa/IaV+AQCAcLhMDt37uT48eO0tLSwbds2nE4nOTk5Yxbc2UkP9NcCnas/0Pl4PB7q6+upr6+Pq9k5V/mZtmzZQk5OTuxn8WKtMSMikog/2a/hNdMJKPFJxIfesJTLF/Z/z77wWjvf+1NziiOa/IaV+JydENx+++3k5+ezY8eOMZ1S2+l0xjVrwdC1QGOtoqKC1tbW2M/BgwfH9fkiIpOdw2bFTi8AvYYSn+GyWgy+/jeXYRjgoJtTD1Zy6OX9qQ5rUhtW4uNyudixYwcbN26Mla1bty62XMVY8Xq9g5q1IpHIuA9BdzgcZGdnx/2IiMjwpdst2OgDoM9Qx+ZEXLHIyReu6Oa3aXfwD5Ya9tVWpDqkSW1Yic+GDRvweDzccccdceUej4fGxsYxCWyAz+eLG8VVX19PWZlW9RURmUxWGgfYHb2IPVE3v3G8JdXhTDofefPVzLb09y+9OvIbnn/y8RRHNHkNu74xPz8/br+trY1wODyoPFEDExgOrJcF/cnOwPw6tbW1lJeXEwqFiEQisQkNRURk8vj0qW+z0vocAF90/BufTHE8k01W3gKCF9+K56X/xGqYnHzgTszL67WC+wgYZoJtVTt27GDTpk20trZimiaGYeD1eqmqquLKK68cqzgnlLa2NnJycmhtbVWzl4jIMDz9jRu4rHs3AO/J2c7//uP61AY0CfV0dhCuvIK55jEAGm74PoU3/U2Ko5oYEvleTmjm5gcffJDq6mpqa2vZu3cvTU1N1NTUkJ2dzZo1a7jzzjsBaG5u5p577mH37t0j/iVERGTq6LE4YtvWvq4URjJ52dNn8Frh7bH9mX/6BlENb09YQolPIBBg586dsY7N+fn5+Hw+amtrCYfD7N27l4qKCvLz87n99tu59dZb+e53vztWsYuIyCTRY6TFtjOiWnF8pC5/6yaabf1dTFb2vUjjIz9PcUSTT0KJz/nWtXI6nWzfvp2Wlhb2798fO3/zZq0sKyIy3aW9PpQd4O5TX0ldIJOcYbHScdXpySAz/vKvYzq6eipKKPEZTieq4uJiNmzYwJvf/GYCgQAlJSUjDk5ERKYG0zj9dWM1+1IYyeR3qfdDHLD2T6R7We8z7Prjr1Mc0eSSUOKzd+/e8x7fvXs3Ho+HsrIydu7cSTgcZuvWrUkFKCIik59pWGPbFtQvJRmGxUqL59MAdJtWGh//U4ojmlwSSnzKysr45CfPPQgxPz+fYDBIa2tr0oGJiMjUYVpOJz5WVOOTrMvX/y0/cryPN3X9O18/9iZ2H4ykOqRJI6HEJz8/nw0bNlBUVMSePXsGHc/JycHr9VJfXz9qAYqIyOSnGp/RZbHZsXu/yGHyAPjBo/tSG9AkklDiA/3LSJSXl3PTTTexfv16vvvd77J7927a2tp46KGHKC0txefzjUWsIiIySZ2Z+BioM+5oePfqhTgz+5f/+PWTr3LshKYJGI6EEx/on1k5FAqRnZ3Npk2bWLt2Lbm5uRQXF1NUVMSmTZtGO04REZnEHs97V2z7d+Y1KYxk6ki3W9lY2N/Jmb4ufvfIH1Ib0CQx4iVynU4ntbW1AOzatQuANWvWjE5UIiIypVjOqPHpMq3nOVMS8aGrFzPz0bt5v/UhTjRmE33rU1isI6rTmDYS+q+zfv16KioqeOihh+LK16xZw5o1a2hubub+++8f1QBFRGTysxun5/HpNkf8N7ecZXHeTIpn7GWW0cYy82WebXwk1SFNeAklPqZp4nK5uPvuu3G5XBQVFcUSoba2NvLz81m3bh3btm0bq3hFRGQSSjtjJFe3anxG1alVG2PbbX/9YQojmRwSWqS0ubk5bjX2e+65h6amJkKhEA0NDRQUFFBYWAjAd77zndGPdoLQIqUiIolpeH4fX/ufX2Cjj7dd6+ET77wx1SFNGafaWzDuvZh0o4eIOZP0ir2kp2ekOqxxNWaLlJ6Z9AAUFBSwdevW2GSF1dXVmKZJWVlZ4lGLiMiUVbhyGR9479/wpnXv5APr35jqcKaUjKxcnst5EwBO4wTPPvqbFEc0sSXVA6qpqSlu3+PxsHXrVhoaGpIKSkREpp6NRUv4rPdiMtLU1DXarJe9J7bd+dQvUhfIJJBU4uP1elm/fj0PP/zwaMUjIiIiCVp+3XvoNPvn9Fne8gi9PT0pjmjiSirxWbNmDbfffjubNm3CarVSVFTE+vXrB9UEiYiIyNhJn5HNCzOvBmAWrTz3xIMpjmjiSnpModfrZe/evQSDQZqbm3G73ZrPR0REZJxFV7wdgv0LlrY9/Tu49i0pjmhiGrXJFDweDx6PZ7RuNyYCgQChUIjS0tJYWXl5OUVFRQBaakNERCatZVe/A4IVHDOz2d/SyXWpDmiCGnZTV2trK3fccQe7d+8ew3DGVmVlZdx+SUkJZWVl+Hw+6uvriUQiqQlMREQkSblzl3Bbznco6vo2X4y8k3BHd6pDmpCGnfjk5ORQUVHBE088wS233MK9997Lvn37RiWIUChEeXk5fr9/yONVVVXU1dXF/h0Jv99PSUlJ3DMjkQgul4tgMEh1dTVOp3NE9xYREZkIlq5Yg4kF04S/NB1PdTgTUkKdm3Nycti0aRPbt29nw4YNbN26lY0bN7Jt2zba2tpGFEAgECAYDBIMBoescSkrK8Pj8eDz+di8eTM1NTUEg8GEnhEMBvF6vYPKwuEwoVAIp9MZlxSJiIhMRtddNCu2/ae9R1MYycQ14lFd+fn53H333dTU1LB27Vo2b97MJz/5yYTX6vJ6vfh8vnPWtvj9/rikpbi4mOrq6oSeEQqFcLvdcWXhcBjo75vkdruJRCIEAoGE7isiIjKRFC1zYbMYAASbj6U4molpVDo3r1mzhq1btwKwY8cObrvtNgzDoKysjNWrV4/4voFAYMiE6MwExe/3n3P4fEVFBdu3bwegrq6OxsZGwuEwhYWFuN3uuGTI7XYTCoVGHKuIiEiqZaRZuT33EVa3/55L2vbT1vYc2dm5qQ5rQhn1JXI3bNjAhg0baG1tZfv27XzjG9/gqquu4gtf+ELC9xqq6cvlcsVqa4C4EVpDOfN4KBRi7dq1sdFnZ3Z2DofDg5rDREREJhtP+mGKOp4H4MknH+WK69+e4ogmllFPfAYM9AfatGkTra2tI7pHOBzG5XLFlTmdzhGNvgoGg9TX1wNQWFiIx+OhvLycqqoqnE4nxcXFg5rDBnR1ddHV1RXbH2l/JhERkbFmWVwEx/uXrWjf+ygo8YmTVOKzbds2br311guel5OTM6L7n530QH8t0EhGX3k8nljiM8Dr9Q6rlmfLli3cddddCT9TRERkvM1ZdR3s7t92HH0qpbFMREktWVFeXj5acQzJ6XTGNWvB0LVAY62iooLW1tbYz8GDB8f1+SIiIsO1oOByul5ft2v2SS0hdbakanxM02Tbtm00NjZSUFCA1+tNqjPz2bxe76BmrUgkMu59cRwOBw6HY1yfKSIiMhJWm539tsW4+0IsjB7i1MkOMjJnnPP8420dnOrqYp7Lic2aVH3IpJDUbxiJRGhsbMTr9WKaJrfeeisVFRWjFRvQv4zEmaO46uvrKSsrG9VniIiITCUtMy8GwGZEOfjS7iHP2fvSc/xly9uZ+a9LWfStfA587XIe/OHddHZP7ZXdDdM0zZFefPYIK+gfzt7S0jKsvj9wegLDLVu24Ha72bhxIz6fL66jcXl5OQUFBUQiEdxud8rX1GprayMnJ4fW1lays7NTGouIiMjZHv/Rl7hq738A8Njqb3D1ez4Vd/y5p55gft17cBonBl3bmFZI/t/dj8s5sv65qZDI93JSTV2FhYW0t7eTlZUVK9uwYQP33XffsO8x0MF48+bN5zzn7DW2RERE5NwyFl4Oe/u3+468EHesrb2VzB0fiSU9EbJotc9haU9/f6CDp9L42g/38LPbriPdbh3XuMdDUk1dlZWV+Hw+9u/fH1duGEZSQYmIiMjI5S5aHttOa48fkLN7x70s5RAA+2z5pH9uD0u/GKT5rT+i3riW23tuY/cr7Xzll8+Ma8zjJakanzVr1rBlyxbWrVtHbm4uhYWFhMNhioqKRis+ERERSdCcxcu5u/f9HIjOxrCuovD18o6OE1zW/N9gQNQ0cNzyPdKz8wDIv/qddC65Aft3HqWnu4+fPXGQt10+nzctn526X2QMJD2BocfjYe/evezatYuGhgYKCwtZs2bNaMQmIiIiI5CWnsEvZ5RwqLUTV3tarPyxYJDlOHDRzpM5N7F6uSfuulXzs/mnt1/CnT/vn//nX371FL/57Juw2cZsvuNxl1BT1/r166moqOChhx4adGzNmjV4vV6am5tHLTgREREZmUWuTADCHd10dPUCULMvk+u7/oN3d30V84ah+9a+/6rFrFni5E2WPfxn62d4/DffH6+Qx0VCiY9pmrhcLu6++25cLhdFRUWxRKitrY38/HzWrVvHtm3bxipeERERGYbFuZmx7YMtJ+npi/L7F48CBq/MuIQr1rxhyOsMw+DrRZ38IK2SlZaDuPZUY0aj4xT12Eso8amurub2229n586dhMNhbrnlFlpaWrj77rtZtmwZRUVF3HHHHTQ2No5VvCIiIjIM+TlwqbGP9ZbHOXbgBV443E5nT38Cc23BLKyWcw9EuqTwZvbZ8gFY2fciu/+yc1xiHg8JJT75+flx+wUFBWzdujWWCFVXV2OapiYYFBERSbGrOx7mAcedVKf9O/bmh9nzciR2bPVi5/kvNgxaV5/+Lu/987fGJsgUSGo4e1NT/BogHo+HrVu30tDQkFRQIiIikhxH7oLYdrT9NRY9/nV+lvY17rD9BM/svgtef9n6vyVM/ySGV3Q8yvFjR8Ys1vGUVOLj9XpZv349Dz/88GjFIyIiIqNgRt7pxMdy8igLIg28wfIcm6wPsHLRhYeoW+0OQvPeAoDD6OX5B38wZrGOp6QSnzVr1nD77bezadMmrFYrRUVFrF+/flBNkIiIiIyvnFkLY9tpp46wsPdlAF61zid9xvCWo5h9/Udj2zObHhjdAFMk6YH5Xq+XvXv3EgwGaW5uxu12ax4fERGRFMudfTrxmXtqL5lGFwBhxyIWDfMeSy+9ltd2zGKueYyVXU8SaQnjzHWNQbTjZ9TWn/d4PGzYsEFJj4iIyARgtafRygwAFnA0Vt45c8nwb2IYHJh1A9Df3PXio78Y1RhTYdQSHxEREZlYOoyZg8pM59KE7jHj8rfHtk+FHk06plSbOnNQi4iISJyTlpnQ91pcmS1nfkL3cK8t5s76Uv7cu5LoyWX8cTQDTAHV+IiIiExRnbbsQWUZrgVDnHlu6TOyaVr0Xvab8zjY0skrkVOjFV5KKPERERGZorrtgxOfrDNGew3X1e682PYTzeGkYko1JT4iIiJT1C+WfpGLOn/AH/sui5U55wx3TNdpa5fmxrafeqV1VGJLFfXxERERmaIyZubQyzHu73sju8yLyDFO8ZHsxIejXzp/Jm+1PMZllmYWPJcB7/CPQbTjY1olPoFAgFAoRGlpaWw/EokAEA6HY+UiIiJTQWaaFYCfR98IUXBm2vmoJfHGnlkz0/mXtP8hjwiREzOJ9kWxWCdno9HkjHqEKisr4/br6+vx+Xz4fD6tKC8iIlNOuj3+a36mY4T1HYbBoYzlADiNExw6+FKyoaXMhEh8QqEQ5eXl+P1DV51VVVVRV1cX+3ck/H4/JSUlcWWBQIBAIACA0+kc0X1FREQmqsUdz3Cn7cd8zfY9PMaLZKXbR3yvk3mXxraPvBQcjfBSIuVNXQPNTcFgkLy8vEHHy8rKKCkpwev1AlBSUoLb7cbj8Qz7GcFgEK/XG0tyBlRWVlJcXIzH46G2tja5X0RERGSCyevcx1tt/WtsNZvzeTrt6hHfyz5nOfQv90Xnay8OeU7zwQO8uvcp5rkvw700sYkSx0vKa3y8Xi8+n++cNS5+vz+W9AAUFxdTXV2d0DNCoRBut3tQeX19PfX19bjdboqLi2P9fURERKYCa1pGbPtL9h9yZ9tXR3yvrAUrYtuWllDcMdM0CXzvyyzYtoZrf/8BFn1vDfVbP093T++InzdWUl7jcz6BQGDIhOjMmhu/33/O1eArKirYvn07AHV1dTQ2NhIOhyksLCQUClFUVITX68Xr9VJeXk4gEMDn843J7yIiIjLerGkz4vb77JkjvtfcZaebujLb98cd++P/3of3wL+D0b+fZvRx86vfpfrHV/DJj34EwzBG/NzRNqETn6FqYFwuF+Hw6cmTLjQS68zjoVCItWvX4vF4CIfDcfcvLi5OOl4REZGJxOaIT3T6bDPOceaFZefNpZ1MsjjJ7O6XY+UdHSe4ZM+/xPZfzFzL7I4X+Meev+OR52ex5KlXeccVic0WPZYmdOITDodxueLnG3A6nSNqkgoGg9TX1wNQWFiI1+ulqqqKqqqqWK3SuZKorq4uurq6YvttbW0JP19ERGS8nZ34RK2Okd/MMDhsW0hW70vMNY9x6mQHGZkz2PXAfVxP/6SGT8+8jss+/wAPNLzEIzv6R35944Hn8K6aS7rdOvJnj6IJnficnfRAfy3QSEZgeTyeWOIzYPPmzcO6dsuWLdx1110JP1NERCSVbOlnNW1Zkvvab8tcAm0vYTFMDh94kfyVa8h98fTgoJnFm8EweFvhxbzpqQh/ePEoh1o7+cXuV9hYtCSpZ4+WlHduPh+n0xnXrAVD1wKNtYqKClpbW2M/Bw8eHNfni4iIjITdEd+0ZVpHPpwdoMW1mof7ruSnvTdx5GSU1kgLy3ueB+BlywKWXXkjAIZh8Lni5bHrHvrD7zFNM6lnj5YJXePj9XoHNWtFIpG4UV7jweFw4HAkUT0oIiKSAo7M+MTHSLLG59UVH+Gfn18LQFXfHGyN9aw1+gA47LqaM1cBW73YycfmhXhH+AcUtr/Ii0+vZPnlRUk9fzRM6BofAJ/PFzeKq76+nrKyshRGJCIiMjmkndXHx7QkV+MzNzs9tn24rZOGYzZqem/kZXMW9otvHHT+O+e3U2jpn/Pntb/+NKlnj5aU1/gEAgGCwWBsHS3oT3YG5t2pra2lvLycUChEJBKhrKwsockLRUREpit7xlmjuKzJfe3Py4lPfPZG5vN4byn0wq7r1g06333jh4g+W4XFMFl86HeY5r+mfGh7yhOfgXl0ztfR+Ow1tkREROTC7BnZfLL7s3wn7T8AMJLs45M383S3j3B7Fy+91g7AnCwHuTPTB52fO3cJLzguZUX30ywzX+FA6HmWFKxKKoZkpTzxERERkbFht1p4NHopf9N1F1b6KJl3LW9I4n6uNJMH0z5PrtHOvv0F/O5kOQAXz515zmvaFr4Rmp8G4JXgb1Oe+Ez4Pj4iIiIyMlaLQSsz2WVeTIO5ku4Z85O6X0ZmJguM47iME2T3HMVCFIAlrnNPjOi6/M2n49n/x6SePxqU+IiIiEwTVkvyX/utRjYAF1kO8YLjo/wx7bN4u+rPeX7+FW/kBP1rhi07sTvlw9rV1CUiIjKF3Z/2JZyc4JCZxyFrTdL367DmQN8xAOxGH4uNoxzJPPeULxabnf2OlVzatYs5hHn1lX3MX5SfdBwjpRofERGRKcxj2Yvbcpjrrc+Q1f1a0vc7ZcseVJYxe+l5r+nIuyy2fejZR5OOIRlKfERERKaJOS27kr5HzxALnc5wzj3vNWlL1sa2W195IekYkqGmLhERkWki2eHsAL32wSO4ZuadP/GZt/rNfOAPd/J0dBlXRpdxc9JRjJxqfERERKYJyygkPtEhEp+c3PMnPnPnLuDptNW0MZPQ0Y6kY0iGEh8REZFpwrAln/iYafFNXW1kYks7/3qWhmGQP6v/ukOtp+js6Us6jpFS4iMiIjJNWK1pyd8kLb7Gp90Y3Nl5KAOJj2nCgfDJ5OMYIfXxERERmS6s1qRvcWT+jXzhxV7utVcDcMpy7skLz7Qm8xi51t+Sbxzm+PNWmPuWpGMZCdX4iIiITBejMHdg76xL+N++607vW87fzDXgMvbyZfsP+YitHvPAY8kHMkKq8REREZkuzGjSt5jhsBHFwie6P086PSyZPY+Vw7guZ9Eq+hoNXjFncayjN+k4RkqJj4iIyBR21MxhttEKQJ81I+n7OWwWolh4MNo/N4935vlHdA2Yu/JqVm3/Pt3Yucpw8a6kIxkZJT4iIiJT2C/7rqXE+gh2+oacfDBR6dGTXG6EsNPLEXJJtw9v4dOszAy2fuwalrgyWezKTDqOkVLiIyIiMoV9rffDfK33wwD8j3N50vfLbnmWXzn+CYCtve9gr33NsK+9eeXwaofGkjo3i4iITGHXXZQX2754zuDJBxNlsZ0eEn+V5XnmmkeTvud4Uo2PiIjIFPb/blnNtx7ei2dJLgucyffxsdpPT4Loseyl+3gt4E36vuNlWiQ+kUgEp9M5aLuuro5wOIzL5QLA5/OlKEIREZGxMTc7na+++7ILnzhMlrMmQTRt6aN27/EwLZq6SkpKyM3Npbi4mEAgAPQnQDU1NZSWluLz+aipqSESiaQ2UBERkQnOZj9r2YtJlvhMiBqfUChEdXU1BQUFlJaWDjpeVVWF2+0mFArhdrsTrpkpKSmhvr4+rqyhoSFW0wPgdrsJBAKq9RERETmPM/v4ABj25JvPxlPKE59AIEAkEiEYDJKXlzfoeFlZGSUlJXi9/e2HJSUluN1uPB7PsJ/R1NSE3+8HwOVy4fP5CIVCsSYvgLy8PEKhUHK/jIiIyBRnHZT4qMYnIQMJTU1NzZDH/X4/1dXVsf3i4mKqq6vjyi6krKwMt9sNwNq1a/H5fIOatY4fPz5k4iUiIiKn2ezxiY9FNT6jJxAIxNXKnFk+wO/309TUNOT1FRUVOJ3OWNIDp5u03G533HWRSISioqLRC15ERGQKsp7Vx8eSlrrJCEdiQic+Q3U2drlchMPh2P5QfYLOFAwG42qIIpEILpeLwsLCuFqmcDgcq30SERGRodlt8YuSWtPU1DVqzhxqPsDpdCY0+srj8cRGcwWDQYqLi2P9gzZu3EhdXV1se6jaJYCuri66urpi+21tbYn9IiIiIlOEdYaTH/QW8xFb/6Aha5qaukbN2UkPxM/DM1wDI7XOrtEZ7giuLVu2cNdddyX0TBERkanIZrNyktO1PNZJ1tQ1oefxcTqdcc1aMHQt0FirqKigtbU19nPw4MFxfb6IiMhEYbdYuLv3fazo/D5XdPrpWTi5+sdO6Bofr9c7qFkrEomMe18ch8OBw+G48IkiIiJTnMViAAZdpNFFGukO9fEZVT6fj0AgEEt26uvrqaysTHFUIiIi01eZ9Vek002YLNLtN6Y6nISkPPEZ6HQcCARiEwj6fL7YEPTa2lrKy8sJhUJEIhHKysoSmrxQRERERtdnbPczw+jihegi0u2TqzLCME3TTHUQk01bWxs5OTm0traSnZ2d6nBERETG11dyYputn3uZnOysFAaT2PfyhO7cLCIiIhObw2akOoSEKPERERGREXOkazi7iIiITBOGZXKlEpMrWhEREZEkKPERERGRhDzl+SqtRhZ7Vn4u1aEkTKO6RkCjukREZNozTTAmRsdmjeoSERGRsTVBkp5EKfERERGRaUOJj4iIiEwbSnxERERk2lDiIyIiItOGEh8RERGZNpT4iIiIyLRhS3UAk9HA1EdtbW0pjkREREQGvo+HMzWhEp8RaG9vB2Dx4sUpjkREREQGtLe3k5OTc95zNHPzCESjUQ4dOkRWVhbGOSZwKioq4oknnjjnPYY63tbWxuLFizl48OCkmhH6Qr/rRHvOSO+T6HXDPX8k78pwjk/G92m6vEuJXjta79KFztG7lNrnTKTPptE4Zzy/50zTpL29nQULFmC5wKKpqvEZAYvFwqJFi857jtVqPe//1PMdz87OnjQfLnDh33WiPWek90n0uuGen8y7Mpzjk+l9mi7vUqLXjta7dKFz9C6l9jkT6bNpNM4Z7++5C9X0DFDn5jHyqU99Kqnjk8l4/S6j9ZyR3ifR64Z7frLvit6l1D0nmfskcu1ovUsXOkfvUmqfM5E+m0bjnIn6PqmpawLR4qcymvQ+yWjRuySjZSK8S6rxmUAcDgdf/vKXcTgcqQ5FpgC9TzJa9C7JaJkI75JqfERERGTaUOfmSaqurg6n00koFCISibB58+ZUhySTVF1dHeFwmMbGRoqLi/H5fKkOSSa5uro6nnjiCSorK1MdikwiA59FLpcLYMw+i1TjM0kVFBTQ1NQEgGEYw5q0SeRsoVCIYDAY+4DJzc2lubkZp9OZ2sBk0goEAgSDQY4fP67ER4YtEomwadMmamtrASgpKeG+++4bk88i1fiMkVAoRHV1NQUFBZSWlg46XlVVhdvtJhQK4Xa7E85sB5Kegetl6hrLdykSiVBTUxO7prCwkIaGBrxe76jFLxPLWH82Dbw79fX1oxKvTC4jfb8aGhpiNT0AbrebQCAwJrU+SnzGQCAQIBKJEAwGycvLG3S8rKyMkpKS2AdESUkJbrcbj8eT8HOqq6tpbGwclbhl4hnrd8nj8cT+woL+D5/CwsLRCV4mnPH6bJLpKZn3KxQKxdXu5OXlEQqFxiROjeoaA16vF5/Pd84qOr/fH/cXdXFxMdXV1SN6TkVFBeXl5SMNVSa48XqXoP8vscrKSjVzTWHj+T7J9JPM+xWJROLOPX78+FiFqRqf8RYIBIZ8KQKBQGzb7/fHmrLOVlFREXe9x+MhEAgQCATUPDHNjOa7NHCvoaqmZXoY7c8mkTNd6P1yu91x71YkEqGoqGhMYlHiM87OzmoBXC4X4XA4tn+hL5+6ujrq6+tjmbLT6RzyvjK1jca7BBAMBolEIpSWlhKJRNTHZ5oarfdJZCgXer+8Xi81NTWxY+FweMw+h5T4jLMzh+oNSDRx8fl8hMPh2OiJgepFmV5G410KhUKsW7cOgE2bNhGJRGhpaRnNMGWSGI33Cfr/gq+traWhoQG/369kSYALv19Op5ONGzdSV1cHwMaNG8esBlGJzzg7+3889GfCif4PHvgw0V/m09dovEtut1uJjgCj99nk9Xr1uSSDDOf9Gq8/4NW5eZw5nc64qmMYOhMWuRC9SzKa9D7JWJpI75cSn3Hm9XoHVR1HIhH9hSQJ07sko0nvk4ylifR+KfFJAZ/PFzdSor6+nrKyshRGJJOV3iUZTXqfZCxNlPdLfXzGwECn40AgEJuAyefzxWZYrq2tpby8PLbOVllZmSYIkyHpXZLRpPdJxtJkeb+0VpeIiIhMG2rqEhERkWlDiY+IiIhMG0p8REREZNpQ4iMiIiLThhIfERERmTaU+IiIiMi0ocRHREREpg1NYCgik1JdXR3hcJjGxkaKi4vHbYHDZEzGmEWmGk1gKCKTTigUIhgMxhKH3Nxcmpubz7uS+EhWGh9NI4lZREafmrpEZMIJhUKUl5fj9/vx+/2Ul5fHrfETiUSoqamJ7RcWFtLQ0HDO+0UiEbZs2TLkc8rKyqiqqqKqqgq/308oFKKqqmrQgopDqauro7i4GMMwKCkpIRgMxh0vLi4mNzeXsrKyhGMWkbGhGh8RmVACgQC1tbVUV1fHlRcXF1NWVjZk89CFak/8fj+FhYVx6wL5/X5qa2upra2Nu66qqory8nJaWlqGVRsTiUTIzc2ltrZ2UGyRSAS/38/mzZsTjllExoYSHxGZMOrq6tiyZQuNjY2DjgUCAUpKSmhpaYkrr6qqwul0Ulpaes77lpSUUFtbG9sPBoOsXbv2nMlNQUEBjY2Nw05KiouLgf7Vps/k9/u55ZZbBt1nODGLyNhQU5eITAiRSIRNmzZx3333DXnc7XYTiUTimqACgcAFE4hQKERRUVFcWXl5OT6f75yJTaKdjsvKyggEAoOax5qamgY9Yzgxi8jYUeIjIhPCpk2bBjVHDSUcDgP9tTaRSITS0lIikUhcH6AzVVdXD0pkAoHAoGToTBUVFXEJy0Cfo7q6OsrLywf15Rm4//bt2+OuOfsZw41ZRMaOhrOLyIRQV1c3qF/PmQaSDbfbTSgUYt26dUB/whSJRAY1gQ0IhUK43e7Y/kCtzPmasc4+VlxcHGv68vl8FBQU0NTUFHdOaWkp1dXVsZqcurq6uL49icQsImNHiY+IpNxAUlNYWHjOc2pqavB6vUB/8jOcpCEYDMb63wwYSGrObpYa6Ih85vHS0lK2b9+O0+mMS4acTifBYDCudqqsrCw2KsztdnP8+PG4+w83ZhEZW0p8RGTCOLNm5kyRSIS6urohOz2fT3V1NZWVlYPKvV4vTzzxRFyZ0+lk8+bN+P1+ysrKYjU8AzU7dXV1sXMrKioGxerxeHC73VRXV1NcXMzGjRsTilVExocSHxFJuYGak4aGBrxeL5FIhFAoFCvftGkTmzdvvmD/n6EM1aRVWVnJ2rVrh5zUcKDWaSCxKSgoIBAIDKvDs8/nw+/3x54hIhOPOjeLyIRQWVlJdXV1rNOv0+mkrq6OsrIy3G53wolEIBAY1Mw1wOPxUF1dzbp16wY1eZ3d4XigI3IoFIqV1dXVxe0PGJioMC8vL6FYRWT8aB4fEZkwBiYVLC4uxul0Ul1dTW1tbaxD87mawoZSVlZ23s7S0N/huLKykoKCAgCeeOKJWEfmysrKuP4+5eXlrF27FpfLhdPpjPU3OltxcTHV1dUJxSoi40eJj4hMWMXFxbFJAauqqoacAflchpP4iMj0o6YuEZmwGhoaKCkpYe3ateesYRmK3++npKRkDCMTkclKiY+ITFi33HILgUCAsrKyhDo219fXJ5Qoicj0oaYuEZlyEm0WE5HpQ4mPiIiITBtq6hIREZFpQ4mPiIiITBtKfERERGTaUOIjIiIi04YSHxEREZk2lPiIiIjItKHER0RERKYNJT4iIiIybSjxERERkWnj/wOa11a+zdBccAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q2=np.geomspace(1e-3,1,1000)\n", + "\n", + "fig, ax = dn.plot_tools.std_fig(figsize=(6,3))\n", + "\n", + "ax.plot(q2,calc_maj_coh.diff_xsec_Q2(1,q2, diagrams=['total']),label='majorana', lw=2)\n", + "ax.plot(q2,calc_dir_coh.diff_xsec_Q2(1,q2, diagrams=['total']),ls='--',label='dirac', lw=2)\n", + "ax.set_yscale(\"log\")\n", + "ax.set_xscale(\"log\")\n", + "ax.set_xlabel(r\"$Q^2$/GeV$^2$\")\n", + "ax.set_ylabel(r\"$d\\sigma/dQ^2$ (cm$^2$)\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "12afba7e", + "metadata": {}, + "source": [ + "Now we see that the NC scattering on neutrons matches the one obtained from GLoBES reasonably well, except at high energies, where the DIS cross section, which we do not model, dominates." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "69699477", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create fig\n", + "fig, ax = dn.plot_tools.std_fig(ax_form=[0.15,0.15,0.83,0.74], figsize=(5,4))\n", + "\n", + "dn_logo = r\"{\\footnotesize \\textsc{DN}}\"\n", + "ax.plot(Enu_range, 1e6*xsecs_NC[0], label=rf\"coherent {dn_logo}\", c='orange')\n", + "ax.plot(Enu_range, 1e6*xsecs_NC[2]*6, ls='--', label=rf\"n-elastic {dn_logo}\", c='orange')\n", + "ax.plot(Enu_range, 1e6*xsecs_NC[1]*6, ls=':', label=rf\"p-elastic {dn_logo}\", c='orange')\n", + "\n", + "# GLoBES file\n", + "# loge, *sigma = np.genfromtxt(\"aux_data/XNC.dat\", unpack=True)\n", + "# enu = 10**loge\n", + "# ax.plot(enu, sigma[1]*1e-38*enu*12, c='black', label=r'$\\sigma_{\\rm NC}^{\\rm tot}$ (GLoBEs)')\n", + "\n", + "ax.set_xscale(\"log\")\n", + "ax.set_yscale(\"log\")\n", + "ax.legend(frameon=False, loc='upper right')\n", + "ax.set_xlim(min(Enu_range), max(Enu_range))\n", + "ax.set_ylim(1e-41,1e-35)\n", + "leg = ax.legend(frameon=False, loc = \"upper left\", title=r'Benchmarks')\n", + "ax.set_xlabel(r'$E_\\nu$/GeV')\n", + "ax.set_ylabel(r'$\\sigma$/cm$^2$/Carbon')\n", + "\n", + "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_NC.pdf\",dpi=400)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "4a20e8af", + "metadata": {}, + "source": [ + "### 2) Now we compare different new physics models\n", + "\n", + "We will focus on a couple of benchmark models:\n", + "\n", + "* Vergano et al BP __[2105.06470](arxiv.org/abs/2105.06470)__\n", + "\n", + "* Bertuzzo et al BP __[1807.09877](arxiv.org/abs/1807.09877)__\n", + "\n", + "* Ballett et al BP __[1903.07589](arxiv.org/abs/1903.07589)__\n", + "\n", + "* Abdullahi et al BP __[2007.11813](arxiv.org/abs/2007.11813)__\n", + "\n", + "* Abdallah et al BP __[2202.09373](arxiv.org/abs/2202.09373)__" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "09bddee2", + "metadata": {}, + "outputs": [], + "source": [ + "# create models\n", + "vergani_et_al = dn.model.ThreePortalModel(name='vergani_et_al', m4 = 0.200, Umu4=0.0, epsilon=0.0, mu_tr_mu4=4e-7)\n", + "bertuzzo_et_al = dn.model.ThreePortalModel(name='bertuzzo_et_al', m4 = 0.420, Umu4=np.sqrt(9e-7), Umu5=0.0, UD5=0.0, alpha_epsilon2=2e-10, alphaD=0.25, mzprime=0.03)\n", + "ballett_et_al = dn.model.ThreePortalModel(name='ballett_et_al', m5 = 0.150, m4 = 0.107, mzprime=1.25,\n", + " Umu4=np.sqrt(1.5e-6), Umu5=np.sqrt(0.85e-6), \n", + " UD5=np.sqrt(4/11), UD4=np.sqrt(7/11), \n", + " chi=np.sqrt(1e-5), gD=2)\n", + "abdullahi_et_al = dn.model.ThreePortalModel(name='abdullahi_et_al', m4=0.074, m5 = 0.146, Umu4=0, UD4=0, UD5=1.0, Umu5=np.sqrt(3e-7), alphaD=0.3, epsilon=2.2e-2, mzprime=1.25)\n", + "abdallah_et_al = dn.model.ThreePortalModel(name='abdallah_et_al', m4=0.074, m5 = 0.146, Umu4=0, UD4=0, UD5=1.0, Umu5=np.sqrt(3e-7), alphaD=0.3, epsilon=2.2e-2, mzprime=1.25)\n", + "scalar_l = dn.model.ThreePortalModel(name='light scalar', m4 = 0.200, s_mu4=1e-3, Umu4=0.0, theta=1e-3, mhprime=0.03, epsilon=0.0, gD=0.0)\n", + "\n", + "# dipole interaction flips helicity while dark photon conserves it -- the other helicity channel can be computed, but will be subdominant.\n", + "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'coherent', 'nuclear_target': C12}\n", + "calculator_vergani = dn.UpscatteringProcess(TheoryModel = vergani_et_al, helicity = 'flipping', nu_upscattered=vergani_et_al.neutrino4, **common_kwargs) \n", + "calculator_bertuzzo = dn.UpscatteringProcess(TheoryModel = bertuzzo_et_al, helicity = 'conserving', nu_upscattered=bertuzzo_et_al.neutrino4, **common_kwargs)\n", + "calculator_ballett = dn.UpscatteringProcess(TheoryModel = ballett_et_al, helicity = 'conserving', nu_upscattered=ballett_et_al.neutrino5, **common_kwargs)\n", + "calculator_abdullahi = dn.UpscatteringProcess(TheoryModel = abdullahi_et_al, helicity = 'conserving', nu_upscattered=abdullahi_et_al.neutrino5, **common_kwargs)\n", + "calculator_abdallah = dn.UpscatteringProcess(TheoryModel = abdallah_et_al, helicity = 'flipping', nu_upscattered=abdallah_et_al.neutrino5, **common_kwargs)\n", + "\n", + "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'p-el', 'nuclear_target': C12}\n", + "calculator_vergani_pel = dn.UpscatteringProcess(TheoryModel = vergani_et_al, helicity = 'flipping', nu_upscattered=vergani_et_al.neutrino4, **common_kwargs) \n", + "calculator_bertuzzo_pel = dn.UpscatteringProcess(TheoryModel = bertuzzo_et_al, helicity = 'conserving', nu_upscattered=bertuzzo_et_al.neutrino4, **common_kwargs)\n", + "calculator_ballett_pel = dn.UpscatteringProcess(TheoryModel = ballett_et_al, helicity = 'conserving', nu_upscattered=ballett_et_al.neutrino5, **common_kwargs)\n", + "calculator_abdullahi_pel = dn.UpscatteringProcess(TheoryModel = abdullahi_et_al, helicity = 'conserving', nu_upscattered=abdullahi_et_al.neutrino5, **common_kwargs)\n", + "calculator_abdallah_pel = dn.UpscatteringProcess(TheoryModel = abdallah_et_al, helicity = 'conserving', nu_upscattered=abdallah_et_al.neutrino5, **common_kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5bb9a649", + "metadata": {}, + "outputs": [], + "source": [ + "Enu_range=np.linspace(0,2,50)\n", + "\n", + "vergani = (calculator_vergani.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vergani_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "bertuzzo = (calculator_bertuzzo.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_bertuzzo_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "ballett = (calculator_ballett.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_ballett_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "abdullahi = (calculator_abdullahi.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_abdullahi_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b187f716", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = dn.plot_tools.std_fig(ax_form=[0.1,0.15,0.88,0.74], figsize=(5,3.6))\n", + "\n", + "l1,= ax.plot(Enu_range, vergani[0], label=calculator_vergani.TheoryModel.name.replace(\"_\",\" \"), c='orange')\n", + "l2,= ax.plot(Enu_range, bertuzzo[0], label=calculator_bertuzzo.TheoryModel.name.replace(\"_\",\" \"), c='purple')\n", + "l3,= ax.plot(Enu_range, ballett[0], label=calculator_ballett.TheoryModel.name.replace(\"_\",\" \"), c='deeppink')\n", + "l4,= ax.plot(Enu_range, abdullahi[0], label=calculator_abdullahi.TheoryModel.name.replace(\"_\",\" \"), c='dodgerblue')\n", + "\n", + "ax.plot(Enu_range, vergani[1], ls='--', c='orange')\n", + "ax.plot(Enu_range, bertuzzo[1], ls='--', c='purple')\n", + "ax.plot(Enu_range, ballett[1], ls='--', c='deeppink')\n", + "ax.plot(Enu_range, abdullahi[1], ls='--', c='dodgerblue')\n", + "\n", + "# ax.set_xscale(\"log\")\n", + "ax.set_yscale(\"log\")\n", + "ax.legend(frameon=False, loc='upper right')\n", + "ax.set_xlim(min(Enu_range), max(Enu_range))\n", + "# ax.set_ylim(1e-42,5e-38)\n", + "\n", + "\n", + "proxy, = plt.plot([0,0],[0,0],linestyle='-',color='black')\n", + "proxy2, = plt.plot([0,0],[0,0],linestyle='--',color='black')\n", + "leg = ax.legend(handles=[l1,l2,l3,l4], frameon=False, loc = \"lower center\", title=r'Benchmarks')\n", + "leg2 = ax.legend([proxy,proxy2], [r\"coherent\",r\"p-elastic\"], frameon=False, loc = \"lower right\", title=r'Scatt regime')\n", + "ax.add_artist(leg)\n", + "\n", + "\n", + "ax.set_xlabel(r'$E_\\nu$/GeV')\n", + "ax.set_ylabel(r'$\\sigma$/cm$^2$/Carbon')\n", + "\n", + "plt.savefig(\"plots/example_2_xsec.pdf\",dpi=400)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "274bb137", + "metadata": {}, + "outputs": [], + "source": [ + "# create models\n", + "dipole = dn.model.ThreePortalModel(name='dipole', m4 = 0.200, mu_tr_mu4=1e-6)\n", + "vector_h = dn.model.ThreePortalModel(name='heavy vector', m4 = 0.200, epsilon=1e-3, Umu4=1e-3, mzprime=1.25)\n", + "vector_l = dn.model.ThreePortalModel(name='light vector', m4 = 0.200, epsilon=1e-3, Umu4=1e-3, mzprime=0.03)\n", + "scalar_h = dn.model.ThreePortalModel(name='heavy scalar', m4 = 0.200, s_mu4=1e-3, Umu4=0.0, theta=1e-3, mhprime=1.25, epsilon=0.0, gD=0.0)\n", + "scalar_l = dn.model.ThreePortalModel(name='light scalar', m4 = 0.200, s_mu4=1e-3, Umu4=0.0, theta=1e-3, mhprime=0.03, epsilon=0.0, gD=0.0)\n", + "\n", + "# dipole interaction flips helicity while dark photon conserves it -- the other helicity channel can be computed, but will be subdominant.\n", + "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'coherent', 'nuclear_target': C12}\n", + "calculator_dipole = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'flipping', **common_kwargs) \n", + "calculator_vector_h = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'conserving', **common_kwargs) \n", + "calculator_vector_l = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'conserving', **common_kwargs) \n", + "calculator_scalar_h = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'flipping', **common_kwargs) \n", + "calculator_scalar_l = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'flipping', **common_kwargs) \n", + "\n", + "common_kwargs['scattering_regime'] = 'p-el'\n", + "calculator_dipole_pel = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'flipping', **common_kwargs) \n", + "calculator_vector_h_pel = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'conserving', **common_kwargs)\n", + "calculator_vector_l_pel = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'conserving', **common_kwargs)\n", + "calculator_scalar_h_pel = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'flipping', **common_kwargs)\n", + "calculator_scalar_l_pel = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'flipping', **common_kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "bb65f1b5", + "metadata": {}, + "outputs": [], + "source": [ + "# dipole interaction flips helicity while dark photon conserves it -- the other helicity channel can be computed, but will be subdominant.\n", + "common_kwargs = {'nu_projectile': pdg.numu, 'scattering_regime': 'coherent', 'nuclear_target': C12}\n", + "calculator_dipole_subd = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'conserving', **common_kwargs) \n", + "calculator_vector_h_subd = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'flipping', **common_kwargs) \n", + "calculator_vector_l_subd = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'flipping', **common_kwargs) \n", + "calculator_scalar_h_subd = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'conserving', **common_kwargs) \n", + "calculator_scalar_l_subd = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'conserving', **common_kwargs) \n", + "\n", + "common_kwargs['scattering_regime'] = 'p-el'\n", + "calculator_dipole_pel_subd = dn.UpscatteringProcess(TheoryModel = dipole, nu_upscattered=dipole.neutrino4, helicity = 'conserving', **common_kwargs) \n", + "calculator_vector_h_pel_subd = dn.UpscatteringProcess(TheoryModel = vector_h, nu_upscattered=vector_h.neutrino4, helicity = 'flipping', **common_kwargs)\n", + "calculator_vector_l_pel_subd = dn.UpscatteringProcess(TheoryModel = vector_l, nu_upscattered=vector_l.neutrino4, helicity = 'flipping', **common_kwargs)\n", + "calculator_scalar_h_pel_subd = dn.UpscatteringProcess(TheoryModel = scalar_h, nu_upscattered=scalar_h.neutrino4, helicity = 'conserving', **common_kwargs)\n", + "calculator_scalar_l_pel_subd = dn.UpscatteringProcess(TheoryModel = scalar_l, nu_upscattered=scalar_l.neutrino4, helicity = 'conserving', **common_kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "00b7e894", + "metadata": {}, + "outputs": [], + "source": [ + "Enu_range=np.linspace(0,2,200)\n", + "\n", + "# dominant\n", + "dipole_xs = (calculator_dipole.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_dipole_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "vector_h_xs = (calculator_vector_h.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_h_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "vector_l_xs = (calculator_vector_l.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_l_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "scalar_h_xs = (calculator_scalar_h.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_h_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "scalar_l_xs = (calculator_scalar_l.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_l_pel.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "aa0ac6fb", + "metadata": {}, + "outputs": [], + "source": [ + "# sub-dominant\n", + "dipole_xs_subd = (calculator_dipole_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_dipole_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "vector_h_xs_subd = (calculator_vector_h_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_h_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "vector_l_xs_subd = (calculator_vector_l_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_vector_l_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "scalar_h_xs_subd = (calculator_scalar_h_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_h_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n", + "scalar_l_xs_subd = (calculator_scalar_l_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10), calculator_scalar_l_pel_subd.total_xsec(Enu_range, NEVAL=1000, NINT=10))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "863e0665", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = dn.plot_tools.std_fig(ax_form=[0.2,0.15,0.75,0.74], figsize=(5,3.6))\n", + "\n", + "l2,= ax.plot(Enu_range, (vector_h_xs[0]+vector_h_xs_subd[0])/np.max(vector_h_xs+vector_h_xs_subd), label=vector_h.name.replace(\"_\",\" \"), c='deeppink')\n", + "l4,= ax.plot(Enu_range, (scalar_h_xs[0]+scalar_h_xs_subd[0])/np.max(scalar_h_xs+scalar_h_xs_subd), label=scalar_h.name.replace(\"_\",\" \"), c='dodgerblue')\n", + "\n", + "ax.plot(Enu_range, vector_h_xs[1]/np.max(vector_h_xs), ls='--', c='deeppink')\n", + "ax.plot(Enu_range, scalar_h_xs[1]/np.max(scalar_h_xs), ls='--', c='dodgerblue')\n", + "\n", + "# ax.set_xscale(\"log\")\n", + "ax.set_yscale(\"log\")\n", + "ax.legend(frameon=False, loc='upper right')\n", + "ax.set_xlim(min(Enu_range), max(Enu_range))\n", + "ax.set_ylim(1e-2,2)\n", + "\n", + "proxy, = plt.plot([0,0],[0,0],linestyle='-',color='black')\n", + "proxy2, = plt.plot([0,0],[0,0],linestyle='--',color='black')\n", + "leg = ax.legend(handles=[l2,l4], frameon=False, loc = (0.2,0.025), title=r'')\n", + "leg2 = ax.legend([proxy,proxy2], [r\"coherent\",r\"p-elastic\"], frameon=False, loc = (0.7,0.25), title=r'Scatt regime')\n", + "ax.add_artist(leg)\n", + "ax.set_title(r\"Normalized cross sections for heavy mediators\")\n", + "\n", + "ax.set_xlabel(r'$E_\\nu$/GeV')\n", + "ax.set_ylabel(r'$(\\sigma/\\sigma^{\\rm max}_{\\rm total}$) on Carbon')\n", + "\n", + "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_heavy.png\",dpi=400)\n", + "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_heavy.pdf\",dpi=400)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "e6ae8b79", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = dn.plot_tools.std_fig(ax_form=[0.2,0.15,0.75,0.74], figsize=(5,3.6))\n", + "\n", + "l1,= ax.plot(Enu_range, (dipole_xs[0]+dipole_xs_subd[0])/np.max(dipole_xs+dipole_xs_subd), label=dipole.name.replace(\"_\",\" \"), c='orange')\n", + "l3,= ax.plot(Enu_range, (vector_l_xs[0]+vector_l_xs_subd[0])/np.max(vector_l_xs+vector_l_xs_subd), label=vector_l.name.replace(\"_\",\" \"), c='deeppink')\n", + "l5,= ax.plot(Enu_range, (scalar_l_xs[0]+scalar_l_xs_subd[0])/np.max(scalar_l_xs+scalar_l_xs_subd), label=scalar_l.name.replace(\"_\",\" \"), c='dodgerblue')\n", + "\n", + "ax.plot(Enu_range, (dipole_xs[1]+dipole_xs_subd[1])/np.max(dipole_xs+dipole_xs), ls='--', c='orange')\n", + "ax.plot(Enu_range, (vector_l_xs[1]+vector_l_xs_subd[1])/np.max(vector_l_xs+vector_l_xs), ls='--', c='deeppink')\n", + "ax.plot(Enu_range, (scalar_l_xs[1]+scalar_l_xs_subd[1])/np.max(scalar_l_xs+scalar_l_xs), ls='--', c='dodgerblue')\n", + "\n", + "# ax.set_xscale(\"log\")\n", + "ax.set_yscale(\"log\")\n", + "ax.legend(frameon=False, loc='upper right')\n", + "ax.set_xlim(min(Enu_range), max(Enu_range))\n", + "ax.set_ylim(1e-2,2)\n", + "\n", + "\n", + "proxy, = plt.plot([0,0],[0,0],linestyle='-',color='black')\n", + "proxy2, = plt.plot([0,0],[0,0],linestyle='--',color='black')\n", + "leg = ax.legend(handles=[l1,l3,l5], frameon=False, loc = (0.2,0.025), title=r'')\n", + "leg2 = ax.legend([proxy,proxy2], [r\"coherent\",r\"p-elastic\"], frameon=False, loc = (0.7,0.15), title=r'Scatt regime')\n", + "ax.add_artist(leg)\n", + "ax.set_title(r\"Normalized cross sections for light mediators\")\n", + "\n", + "ax.set_xlabel(r'$E_\\nu$/GeV')\n", + "ax.set_ylabel(r'$(\\sigma/\\sigma^{\\rm max}_{\\rm total}$) on Carbon')\n", + "\n", + "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_light.png\",dpi=400)\n", + "dn.plot_tools.std_savefig(fig, \"plots/example_2_xsec_int_type_light.pdf\",dpi=400)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "134a0137", + "metadata": {}, + "source": [ + "## More cross sections\n", + "\n", + "Now one can compute cross sections for a series of models and targets. The\n", + "\n", + "Below, we define a function that computes several examples." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "solved-desire", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_xsecs(m4, mzprime, **kwargs):\n", + " \n", + " #########################\n", + " # Set BSM parameters\n", + " bsm_model = dn.model.ThreePortalModel(mzprime=mzprime, m4 = m4, **kwargs)\n", + " \n", + " TARGETS = [proton, C12, Ar40]\n", + " REGIMES = ['coherent','p-el']\n", + " HEL_CASES = ['conserving','flipping']\n", + "\n", + " myMCs = {}\n", + " for target in TARGETS:\n", + " for regime in REGIMES:\n", + " for hel in HEL_CASES:\n", + " key = f'{target.name}_{hel}_{regime}'\n", + " myMCs[key] = dn.UpscatteringProcess( \n", + " TheoryModel = bsm_model, \n", + " nu_projectile=pdg.numu,\n", + " nu_upscattered=pdg.neutrino4,\n", + " scattering_regime = regime,\n", + " nuclear_target= target,\n", + " helicity = hel)\n", + "\n", + " mc_lowT=myMCs['Ar40_conserving_coherent']\n", + "\n", + " enu_axis = np.geomspace(mc_lowT.Ethreshold*0.99, 20, 10)\n", + " np.append(mc_lowT.Ethreshold*1.01, enu_axis)\n", + " sigmas = {}\n", + " for key, mc in myMCs.items():\n", + " sigmas[key] = []\n", + " print(key)\n", + " sigmas[key] = mc.total_xsec(enu_axis)\n", + " mc.sigmas = sigmas[key]\n", + " mc.enu_axis = enu_axis\n", + " return myMCs" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "compound-breach", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "mcs_H_150 = compute_xsecs(0.150, 1.25, HNLtype=\"majorana\")\n", + "mcs_H_420 = compute_xsecs(0.420, 1.25, HNLtype=\"majorana\")\n", + "mcs_L_150 = compute_xsecs(0.150, 0.03, HNLtype=\"majorana\")\n", + "mcs_L_420 = compute_xsecs(0.420, 0.03, HNLtype=\"majorana\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "desirable-developer", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "def fix_label(label):\n", + " return label.replace(\"_\", \" \").replace(\"conserving\", \"HC\").replace(\"coherent\", \"coh\").replace(\"flipping\", \"HF\")\n", + "\n", + "def plot_xsecs(theseMCs, regime = 'coherent'):\n", + " fig, ax = dn.plot_tools.std_fig(figsize=(6,4))\n", + "\n", + " all_args={\n", + " f'H1_conserving_{regime}': {'color': 'black', 'ls': '-'},\n", + " f'C12_conserving_{regime}': {'color': 'royalblue', 'ls': '-'},\n", + " f'Ar40_conserving_{regime}': {'color': 'violet', 'ls': '-'},\n", + " f'H1_flipping_{regime}': {'color': 'black', 'ls': '--'},\n", + " f'C12_flipping_{regime}': {'color': 'royalblue', 'ls': '--'},\n", + " f'Ar40_flipping_{regime}': {'color': 'violet', 'ls': '--'},\n", + " } \n", + " \n", + " for key, mc in theseMCs.items():\n", + " if regime in key:\n", + " if regime == 'coherent' and \"H1\" in key:\n", + " continue\n", + " else:\n", + " sigmas = mc.sigmas\n", + " enu_axis = np.geomspace(mc.Ethreshold*0.99, 20, len(sigmas))\n", + "\n", + " ls = '-' if ('conserving' in key) else '--'\n", + " args = all_args[key]\n", + " p = mc.TheoryModel\n", + " norm = (p.Umu4*p.epsilon*dn.const.eQED*p.gD*p.UD4*mc.target.Z)**2\n", + "# print(norm/(mc.Vij**2*mc.ups_case.Vhad**2))\n", + " # if 'conserving' in key:\n", + " ax.plot(enu_axis, sigmas/norm, label=fix_label(key), **args)\n", + " # else:\n", + " # ax.plot(enu_axis, sigmas/norm, **args)\n", + "\n", + " ax.set_title(fr'$m_{{Z^\\prime}}= {mc.mzprime:.2f}$ GeV, $m_4 = {mc.m_ups*1e3:.0f}$ MeV')\n", + " ax.set_yscale(\"log\")\n", + " # ax.set_xscale(\"log\")\n", + "\n", + " ax.set_xlabel(r\"$E_\\nu$ (GeV)\")\n", + " ax.set_ylabel(r\"$\\sigma/(Z e \\epsilon V_{\\mu 4})^2$ (cm$^2$)\", fontsize=12)\n", + " ax.set_xlim(0.1,np.max(enu_axis))\n", + "# ax.set_ylim(1e-34,1e-26)\n", + "\n", + " ax.legend(loc=\"best\", frameon=False)\n", + " ax.grid(which='major', lw=0.5)\n", + "\n", + " # dn.plot_tools.std_savefig(fig, f\"plots/xsecs/example_3+1_{mc.ups_case.mzprime:.2f}_{mc.ups_case.m_ups*1e3:.0f}_{regime}.pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "portuguese-driver", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "plot_xsecs(mcs_H_150, regime = 'coherent')\n", + "plot_xsecs(mcs_H_150, regime = 'p-el')\n", + " \n", + "plot_xsecs(mcs_H_420, regime = 'coherent')\n", + "plot_xsecs(mcs_H_420, regime = 'p-el')\n", + " \n", + "plot_xsecs(mcs_L_150, regime = 'coherent')\n", + "plot_xsecs(mcs_L_150, regime = 'p-el')\n", + " \n", + "plot_xsecs(mcs_L_420, regime = 'coherent')\n", + "plot_xsecs(mcs_L_420, regime = 'p-el')" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "chief-concentration", + "metadata": {}, + "source": [ + "#### Differential cross section" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "synthetic-associate", + "metadata": {}, + "outputs": [], + "source": [ + "from DarkNews import phase_space as ps\n", + "Enu = 2\n", + "fig, ax = dn.plot_tools.std_fig(ax_form=[0.1,0.15,0.88,0.74], figsize=(10,7))\n", + "def plot_diff_xsec_Q2(MCs, Enu):\n", + " \n", + " for key, mc in MCs.items():\n", + " Q2range=np.geomspace(ps.upscattering_Q2min(Enu, mc.m_ups, mc.MA),\n", + " ps.upscattering_Q2max(Enu, mc.m_ups, mc.MA),\n", + " 1000)\n", + " ax.plot(Q2range, mc.diff_xsec_Q2(Enu=Enu, Q2 = Q2range), label = f'{key}'.replace('_', ' ').replace('flipping','HF').replace('conserving','HC').replace('coherent','coh'))\n", + "\n", + "\n", + "plot_diff_xsec_Q2(mcs_L_150, Enu)\n", + "plot_diff_xsec_Q2(mcs_L_420, Enu)\n", + "ax.legend(loc='lower left', ncol=4, frameon=False)\n", + "ax.set_yscale(\"log\")\n", + "ax.set_xscale(\"log\")\n", + "ax.set_xlabel(r\"$Q^2$/GeV$^2$\")\n", + "ax.set_ylabel(r\"$d\\sigma/dQ^2$ (cm$^2$)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "40490272", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "darknews", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/Example_2_decays.ipynb b/examples/Example_2_decays.ipynb new file mode 100644 index 0000000..aa77751 --- /dev/null +++ b/examples/Example_2_decays.ipynb @@ -0,0 +1,180 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "breeding-basic", + "metadata": {}, + "source": [ + "# Example 2\n", + "---\n", + "\n", + "This notebook demonstrates how to obtain differential and total cross sections for upscattering processes." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "00671c2d", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "activated-march", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import DarkNews as dn\n", + "from DarkNews import pdg\n", + "\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "5e21e347", + "metadata": {}, + "source": [ + "### 1) Sampling the decay of a HNL" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "4178eff0", + "metadata": {}, + "outputs": [], + "source": [ + "# model\n", + "minimal_HNL = dn.model.ThreePortalModel(name='minimal_HNL', m4 = 0.1, Umu4=1e-3, epsilon=0.0, gD=0.0, mzprime=100)\n", + "dark_HNL = dn.model.ThreePortalModel(name='dark_HNL', m4 = 0.1, mzprime=1.0, Umu4=1e-3, Ud4=1 - 1e-3, epsilon=1e-3, gD=1.0)\n", + "\n", + "# decay cases\n", + "common_kwargs = {'nu_parent': pdg.neutrino4, 'nu_daughter': pdg.nulight, 'final_lepton1': pdg.electron, 'final_lepton2': pdg.positron, 'h_parent': -1}\n", + "\n", + "minimal_HNL_decay = dn.FermionDileptonDecay(TheoryModel=minimal_HNL, **common_kwargs) \n", + "dark_HNL_decay = dn.FermionDileptonDecay(TheoryModel=dark_HNL, **common_kwargs) " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "0a3715cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.886959052507531e-26" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "minimal_HNL_decay.m_parent = 0.1\n", + "minimal_HNL_decay.mzprime = 100\n", + "minimal_HNL_decay.total_width()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "c4f720c8", + "metadata": {}, + "outputs": [], + "source": [ + "def get_HNL_decay_width_s(m4_val, TheoryModel, **kwargs):\n", + " TheoryModel.m4 = m4_val\n", + " return dn.FermionDileptonDecay(TheoryModel=TheoryModel, **kwargs).total_width()\n", + "get_HNL_decay_width = np.vectorize(get_HNL_decay_width_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "434536a8", + "metadata": {}, + "outputs": [], + "source": [ + "# Compute decay widths\n", + "m4vals = np.geomspace(0.1, 10, 100)\n", + "Gammas_minimal = get_HNL_decay_width(m4vals, minimal_HNL, **common_kwargs)\n", + "Gammas_dark = get_HNL_decay_width(m4vals, dark_HNL, **common_kwargs)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "49831c52", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = dn.plot_tools.std_fig()\n", + "ax.plot(m4vals, 1e9*dn.const.get_decay_rate_in_s(Gammas_minimal), label=r'minimal HNL')\n", + "ax.plot(m4vals, 1e9*dn.const.get_decay_rate_in_s(Gammas_dark), label=r'$Z^\\prime$ + HNL')\n", + "ax.set_yscale('log')\n", + "ax.set_xscale('log')\n", + "ax.set_xlabel(r'$m_4$ [GeV]')\n", + "ax.set_ylabel(r'$\\tau_4$ [ns]')\n", + "ax.set_xlim(0.1, 10)\n", + "ax.set_title(r'$\\nu_4 \\to \\nu e^+ e^-$ decay width ($m_{Z^\\prime} = 1$ GeV)')\n", + "ax.legend()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "darknews", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/Example_2_TMM.ipynb b/examples/Example_3_TMM.ipynb similarity index 100% rename from examples/Example_2_TMM.ipynb rename to examples/Example_3_TMM.ipynb diff --git a/examples/Example_3_geometries.ipynb b/examples/Example_4_geometries.ipynb similarity index 100% rename from examples/Example_3_geometries.ipynb rename to examples/Example_4_geometries.ipynb diff --git a/examples/Example_5_MB_spectra.ipynb b/examples/Example_5_MB_spectra.ipynb deleted file mode 100644 index 51303c2..0000000 --- a/examples/Example_5_MB_spectra.ipynb +++ /dev/null @@ -1,386 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Example 5\n", - "\n", - "This notebook shows predictions for nueCCQE-like events at MiniBooNE using the \"fastbnb\" module -- installed separately from:\n", - "\n", - "[github.com/mhostert/MiniBooNE-DarkNews](https://github.com/mhostert/MiniBooNE-DarkNews)\n", - "\n", - "In this second MiniBooNE example, we explore some good fits to the MiniBooNE spectra. For more infor, see [this paper](https://arxiv.org/abs/2308.02543).\n", - "\n", - "The idea is to choose some mediator and HNL masses that make sense and then minimize the MiniBooNE EnueCCQE chi2 by varying the upscattering couplings.\n", - "\n", - "We do this for a TMM, vector, and scalar mediator models." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "import scipy\n", - "from scipy.optimize import minimize\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "import DarkNews as dn\n", - "from DarkNews import const\n", - "\n", - "import fastbnb as fb\n", - "from fastbnb import plot_tools as pt2\n", - "from fastbnb import decayer, analysis\n", - "try:\n", - " from importlib.resources import files\n", - "except ImportError:\n", - " from importlib_resources import files" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Some useful functions to generate and interpret our MiniBooNE simulation" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "common_kwargs = {'loglevel': 'ERROR', 'HNLtype': 'dirac', 'neval': 1e5, 'include_nelastic': True, 'noHC': False, 'noHF': False, 'nu_flavors': ['nu_mu']}\n", - "\n", - "def get_event_rate(kwargs, common_kwargs=common_kwargs, include_dirt=True):\n", - " df_det = dn.GenLauncher(experiment=\"miniboone_fhc\", **common_kwargs, **kwargs).run()\n", - " \n", - " if include_dirt:\n", - " df_dirt = dn.GenLauncher(experiment=\"miniboone_fhc_dirt\", **common_kwargs, **kwargs).run()\n", - " df_nu = pd.concat([df_det, df_dirt])\n", - " else:\n", - " df_nu = df_det\n", - "\n", - " if 'm5' in kwargs.keys():\n", - " decay_l = df_det.attrs['N5_ctau0']\n", - " else:\n", - " decay_l = df_det.attrs['N4_ctau0']\n", - "\n", - " df_nu_reco = analysis.reco_nueCCQElike_Enu(decayer.decay_selection(df_nu, decay_l, \"miniboone\", weights=\"w_event_rate\"))\n", - "\n", - " return df_nu_reco" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "def get_pval(df_prob, ndof=8.7):\n", - " bin_e = np.genfromtxt(\n", - " files(\"fastbnb.include.MB_data_release.combined\").joinpath(\"miniboone_binboundaries_nue_lowe.txt\").open())\n", - " NP_MC, _ = np.histogram(df_prob['reco_Enu']*1e3, weights=df_prob['reco_w'], bins=bin_e)\n", - " bw = bin_e[1:]-bin_e[:-1]\n", - " # plt.step((bin_e[1:]+bin_e[:-1])/2,NP_MC/bw, where ='mid')\n", - " chi2= fb.fit_functions.chi2_MiniBooNE_2020(NP_MC, NP_MC.sum())\n", - " return scipy.stats.chi2.sf(chi2, ndof)\n", - "\n", - "\n", - "def get_pval_nevents(df_prob, nevents, ndof=8.7):\n", - " bin_e = np.genfromtxt(\n", - " files(\"fastbnb.include.MB_data_release.combined\").joinpath(\"miniboone_binboundaries_nue_lowe.txt\").open())\n", - " wreco = df_prob['reco_w']*nevents/df_prob['reco_w'].sum()\n", - " NP_MC, _ = np.histogram(df_prob['reco_Enu']*1e3, weights=wreco, bins=bin_e)\n", - " chi2= fb.fit_functions.chi2_MiniBooNE_2020(NP_MC, NP_MC.sum())\n", - " return scipy.stats.chi2.sf(chi2, ndof)\n", - "\n", - "\n", - "def print_summary_of_event(df, col='reco_w', summary='Events'):\n", - " coherent = (df['scattering_regime'] == 'coherent')\n", - " pel = (df['scattering_regime'] == 'p-el')\n", - " nel = (df['scattering_regime'] == 'n-el')\n", - " print(f\"{summary}: {df[col].sum():.2g} total ({df[col][coherent].sum():.2g} coh : {df[col][pel].sum():.2g} pel : {df[col][nel].sum():.2g} nel) -- pval = {get_pval(df)*100:.3f}%\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generating events" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# TMM\n", - "delta_TMM = 0.3\n", - "# kwargs = {'mu_tr_mu4': 1.2e-6*2, 'm4': 0.470, 'decay_product': 'photon'} # 3+1\n", - "kwargs = {'mu_tr_mu5': 1.2e-6*2, 'mu_tr_45': 1e-6, 'm5': 0.470, 'm4': 0.470/(1+delta_TMM), 'decay_product': 'photon'} # 3+2\n", - "df_0 = get_event_rate(kwargs)\n", - "\n", - "# Vectors\n", - "DELTA = 1\n", - "M5 = 0.2\n", - "M4 = M5 / (1 + DELTA)\n", - "kwargs = {'d_mu5': 0.0002, 'd_45': 1, 'dprotonV': 3.4e-4*const.eQED, 'deV': 3.4e-4*const.eQED, 'mzprime': 0.03, 'm4': M4, 'm5': M5}\n", - "df_1 = get_event_rate(kwargs)\n", - "\n", - "eps = 2e-3\n", - "kwargs = {'d_mu5': 0.01, 'd_45': 1, 'dprotonV': eps*const.eQED, 'deV': eps*const.eQED, 'mzprime': 1.25, 'm4': M4, 'm5': M5}\n", - "# kwargs = {'UD4': 1/np.sqrt(2), 'UD5': 1/np.sqrt(2), 'Umu5': 1e-3, 'Umu4': 1e-3, 'gD': 2, 'epsilon': 0.75e-2, 'mzprime': 1.25, 'm4': M4, 'm5': M5} # 3 portal\n", - "df_2 = get_event_rate(kwargs)\n", - "\n", - "# Scalars\n", - "theta_e = 2e-3\n", - "theta_numu = 3e-3\n", - "theta_nucleon = 3e-3\n", - "kwargs = {'mzprime': None, 'mhprime': 1.0, 'm4': M4, 'm5': M5, 's_mu5': theta_numu, 's_45': 1.0, 'deS': theta_e, 'dprotonS': theta_nucleon, 'dneutronS': theta_nucleon}\n", - "df_3 = get_event_rate(kwargs)\n", - "\n", - "theta_e = 0.8e-3\n", - "theta_numu = 1e-3\n", - "theta_nucleon = 1.1e-4\n", - "kwargs = {'mzprime': None, 'mhprime': 0.03, 'm4': M4, 'm5': M5, 's_mu5': theta_numu, 's_45': 1.0, 'deS': theta_e, 'dprotonS': theta_nucleon, 'dneutronS': theta_nucleon}\n", - "df_4 = get_event_rate(kwargs)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Events: 2.9e+02 total (1.3e+02 coh : 1.6e+02 pel : 3.8e-09 nel) -- pval = 11.062%\n", - "Events: 2.1e+02 total (1.6e+02 coh : 43 pel : 0 nel) -- pval = 4.209%\n", - "Events: 4.5e+02 total (1.4e+02 coh : 3.1e+02 pel : 0 nel) -- pval = 41.814%\n", - "Events: 3.6e+02 total (1.2e+02 coh : 1.7e+02 pel : 69 nel) -- pval = 14.833%\n", - "Events: 4.1e+02 total (3.6e+02 coh : 27 pel : 20 nel) -- pval = 35.833%\n" - ] - } - ], - "source": [ - "print_summary_of_event(df_0)\n", - "print_summary_of_event(df_1)\n", - "print_summary_of_event(df_2)\n", - "print_summary_of_event(df_3)\n", - "print_summary_of_event(df_4)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "584.7328394088736\n", - "683.1890586053015\n", - "671.059693943055\n", - "530.865147912899\n", - "659.33174053053\n" - ] - }, - { - "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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EQRCEZSwtLWHHjh22GY8s302gEwqFqlIEotGo6X0lH4MtW7YYAYYo0BBBEARBlMYWykA0GsXY2JihCMiyXFJOVVUEAgGoqmpc0zSNHAoJok2sr69jbW2tLa/19XWri2trKL4K0UwsVwb0gZ/jOCOgUH6cAUVRDIdBnuchiqJp8JdlGRMTE+3NNEH0IOvr69i9ezcGBgba8tq9e3fLFQJZluF2u4ssjnYnGo0inU4DyPWReuA2n89nUhJUVUUkEkE8HkckEin6LBQKIRqNIhQKdZxyEYlErM5CV2GpA6GmafB4PEXX8x0Ip6amoCiKsWPA6/UiFAphaGgIqVQKkiRRvAGCaAMXL17EL3/5S7x8fB4frgPnP1iD88rteO7YGXzJfR3iz6vw3snjJ8mTuOvGK5E6s4SP/epmfOxXNuP46UXceeMV+InyNryf5RE/ouJLrmvx/LF3ccNVO3D+wzVTer95y058fHAHLl68iP7+/paVSRCEDXcvtQs93spGKIoCh8NhTIpkWUYwGASQGyD37duHZDIJIOdTpf+vqirGx8eNGC4ejwfJZBIcx0FRFIRCoZK+V1ZQTV34/X6EQqGKDudEDbAeYnFxkQFgi4uLVmeFIDqObDbLALAXjs2zp1+dZ+8snGfTzx5nK6tr7In/OMZWVtfY9LPH2TsL59nTr84zRX2fvTmvsZ8kT7LM+Q/Z959+k32YvcC+//SbLHP+Q/aT5En25rzGFPX9ovT+IfELBoBls9mWl0sURSZJUsvvU4lUKlV1Hrxer/F/MplkHMeZ0gHAUqkUS6VSzOVymb6ryyYSCcbzvOkzuwwHtdRFMBhkqVSqxTlqDXYbjyxfJiAIorM4/8EabrhyO5594wy+PHwdYs+p8N3F48ezJ3H3TVfi+JklbPvIIvDW6UXcdeMV+HHybfju5BF7XsWX3dfiuWPv4pMfWQTOlUjPe2dv+QFVO7st9JFyuVyYnJw0fQ4ADocDsizD4XCYvu9wOKAoStklgUqh4NtFLTP9sbGxDc+zIarDVnEGCIKwP84WKwK+u3gcOnK8rrypqgpJkjAyMoJ0Oo3R0VHDDC7LMnieh6qq8Hq9pkFVP/RMVVUkEglTOHRZlqEoCniex8zMDERRhCzLCAQCCIVCAABJkpBMJsvKhkIhBAIB4/7595Bl2YjECuSWLso5RU9PT2NkZMR0LT/o2tTUFARBAMdxZQf8dDoNl8tlcsTWlQA9D4WUKlc8HkcoFILL5UIsFoOmaXC73RAEAZIkNa0uHA4HpqenwfM8NE0z0gJyypB+vg3RIFabJtqJ3cwyBNFJ6MsEP3j69ZYsDeSnN3cmU/MyQSaTYTzPs0wmwxjLmZBFUWSpVIoJgmCSdblchpwoiibTuyAILJlMMsZYkaldkiQmiiJjjDG/38/8fj9jjLFYLFZRNhgMlr2H/nk1pvFgMGj6XqXyi6JYVG6e51ksFjM+lySJZTIZFovFGICSaVcqlyRJRh3o7zf6Tq11IYoiSyQSRffQKVwK6RTsNh6RZYAgiJr4krt1FgE9vTdOLdScL332qDue6buMwuFwkZMxz/OYnp6G3+8HANNsm+M4Y2YqSZJhcteZmZkx5IaGhgBccmwuJzs0NGTIFt6jFio51oVCISQSCePzUvfIPwcmGAwah8XpTpSlLBKV6sDv92NwcBCSJJmWMCp9p9a68Hq9cLvd4HkeY2NjxjMjmgspAwRB1ET8eRW/+7kbW6YIHP9oF0KtFA6UzTra3OVymXYc5A9GhYNnJdlqqTTglzP/RyIRhEIhw5QOwDDXFzI8PAwgt6Si519RFLhcrrL3rVSu0dFRY2tm/vVm1YXD4UAmk4GiKJiamoLP50Mikag5LaIy5EBIEERNeO9snUUgP72a8+X1FjnAybKMsbGxokBmiqJgdHR0wzRLfTf/ff6MdiPZaqn0HafTaVrrB3IHt7lcLkMRmJ6eBsdxRYqKqqrGuS5ALvy7rjhIklTWcW+jcunb+/KdFZtZF+FwGKqqwuVyQRTFIoWl0EmSqA9bnU3QauwWC5ogOom1tTUMDAzg+4d/jr2/fk1DcQQ2ikvwxqkF7P9fbkI2m8XmzdUrBrIsI5FIGGZ/3Zmu0JlNj3iqKArGx8cBAJOTk0YgHn3g4Xm+ZJqzs7PGskAoFDJmwKVk9f39le6hqipEUTQc8Mo5EOoOkvrAraoqnE6nSYbjOOM02HyHypmZGUxMTBiDaTQahcPhQDqdBs/zFeMtlKtXHZ/Ph8nJSdO1ZtVFPB4Hx3FGXh0Oh+E0qTuGdqIDod3Go55UBk6fPm1Z5V922WUYGBiw5N4E0Qjr6+u49rrrMP/OO225386dV+Ptt0+2NOhQJ+Lz+Uy7HXqZ/J0JnYbdlIGe9Bm46qqrLLt3f/8mrKx8QAoB0XH09/fj7ZMncfHixbbcb9OmTaQIlCAQCCAej5u2FPYi+hJHJyoCdqQnfQZOPxdBNptFdiWD7OxDub/ZLLKvPYbsmSO5/88cyb1votzyK49iff0iLly4YHUVEERd9Pf3Y/PmzW15kSJQGkEQkE6nO+4sgWYTDocpFHET6cllgrNnz2Jox68Ar0WATwWBy7YCxycBhwtwuIF0EkgrwA3jwIXlpsmtXfcVDAwMYHl5GZdffrnV1UEQRAdT7VkGhD2x2zJBT1oGmjnA1yxHEATRBEgRIJpJbyoDbzxqjSLw2iNWl5wgCIIgiuhNZeCmP7ZAEYgAn3rA6pITBEEQRBG9qQzUOcA/+dg3cePwl/Dkc1vqVxgIgiAIwmb0pjKgPlHXTP+eOwfx5ol3cc+XPXVaDr5rdckJgiAIoojeVAYGb6vP5O/8Su77b3y7/iUEgiAIgrAZPRl0CIO31rf2nz6d+/5Nf1qfIrDtFmvLTRANsr6+TkGHCNrW2IX0pmUg83J9ToBvfDv3/bqdCpXK+SIIG7O+vo7d1+3CwMBAW167r9uF9fV1q4ttCbIsw+12G6cBNgu32414PN5QGtFotOSRw6FQqCgQkizLiEajkGXZdFCRoiiIRCKIRCLw+XwdF0ApEolYnYXmw3qIxcVFBoCdffFvchfWzjP28l/k/jLG2FtRxhZmc/8vzObe58ktLswzAGxR+XZFuXLpZV97jAFgy8vLrS8sQTSZbDZrtN/smSMs+9pjLJvNsuxKhmVnH8r9zWZz188cyf1fp9zykQkGgGWzWauLzTKZjCX3FUWRSZLUUBqFeU8kEg2VJ5lMslgsVvI6AFPaiUSC+f1+xhhjqVSK8TxvfCaKoul/l8tVd56aTTX1k8lkWDAYbOg++ni0uLjYUDrNojeVgbNna1YE2Nr5Sw/vxH9WlCuXXn5nShCdht5+s2eO1NTu65HLrmRsoQykUqmGB+R6aVQZaEXevV5vyeuxWIzxPG8aSAvfp1IpxlhOceA4znQdgPG5ldRSZ8FgsKE8200ZsHyZQNM0w1zk8XiqMmFFIhHE43Hjb83UuS1w+RcSAGB5yx6KQEj0Li2Px2GfbbidHPu+2XnXNK3koUClDk1SVRXpdBocx0FRFNN3XS4XJicnTekCgMPhaGp+66GWOhsbG2t4ycVOWO5AGAqFIEm5Qdbv92NwcBDJZBIuV2nP+0AgAJ/PZ5y97fP5wPN8WflSnEs+gs2fnQBW1oHU3+UcCi/7JDD3dM6fwPmVnLPgG9/OOQuurGP5Fw9j7//+dwCAvXfdgWf+6U+w9dOBIrlK6a39/H80VFcEYQtuuL/1isDr36k5W7IsIxAIQBAEeDwepNNpJJNJiKIIjuOMz0OhEABAkiQkk0koigJZlsHzPFRVhdfrBc/zkGUZs7Ozxvq4IAjgeb6ifP6RuqqqIpFIbHjcsCzLUBQFPM9jZmam7IAUj8fBcRxUVUUqlTLkNE3D9PQ0eJ6HpmmYmZmBx+MpyrumaRgfH0cgEIDf7weQG7QlScLIyAjS6TRGR0fLOgZOT09jZGTEdK2cI6GiKHA4HIjH4xAEAdFoFDzPG0pDvvIwNTUFQRDK3rdU/cTjcYRCIbhcLsRiMWiaBrfbDUEQjPGk1PcqPaNSz9vhcBTVrV7vLpcLoVAIwWCwZL47DivNEqlUigmCYDIlCYJQ1hTFGGOFWZYkyViX2gjdLGP1i5YJiE7EWCZYybRkaSBfLnvmSF3LBMFg0LQeHYvFmCAIxnu/32/0F7FYzOiD8nG5XEafFAwGTWbjauTz+y9BEFgymSyb31QqZVovlyTJyH/hMgHyTOl+v99YuxdFkSUSCVMapfJemGYmkzGZ8gvrrpBgMFhUlvz089OSJMnkQ5DJZIr67lJ5KKRS/RT2/YXPqdz3Kj2jwjorV7c6jfg62G2ZwHLLgK6J6Vohz/OYnZ0tKSvLckntMd9LtRpOnDgBR+ZHuRm843YgffTSDF7fNaBvH0z9IzB4K5a37MHeu+5Aau6XcDqdeOY/foqtpyaL5Cqlt8YG8PGPf7ymvBKE7XjtEeDWidaG9G5gG25+H+H1eg1vdY7jwHEchoaGjM/02WU+PM9jenramD3nI0lSRfmhoSEjfT0vpTzv89NzOBymPmxmZqakbCaTMSwD6XQaqqoa5XC73eB5HmNjYyXzXQp9xqvX18TEREX5QiuALMsYHR0tKaunq8vrfxVFMdVfKBRCIpEoaxWoVD+6JVmSpKIljErfq+UZ1Vu3nYilygDP88hkMqZrsiwbSwCFlNp+4nA4yj7I1dVVrK6uGu+XlpYAANve/yG2Oz9/qWO68CZw+5981DE9Dtzx55c6puvuBhxubE8n8cw//Ql23h3EM//xU1yVebKkXKX01uowfRKE7fjUA60/2+PdF1qW/VLr3tXQ6PY3felCz4O+fOByuUx9XrkBJxwOY2hoyFiW0HE4HMhkMlAUBVNTU/D5fEgkEkV5LxxwC69tFDeA47iiOpienjb+V1UV4XAYY2NjVdVxJBJBKBQyTPDl8lCpfkZHR43tl4X1Vm29lkPTtKrqtluw3IEwH0VRkE6ny66ZpdPpIieTUg1UJxwOY8eOHcZr165duQ/qjEC49dMBAMhZBCgCIdGjrLEBrL3+HaxtuyX3evcFrL37Itau+wrWPtCw9nIYa5/8s8bk3is9O66G/P5AX7POH2TyJw9jY2NFlkVFUUrOeGVZrkm+kEQigWQyiWQyaSgCpdLLf6+XRV//DgaDpsFTlmWEw2GoqgqXy2X4R5TKe2GaXq8XiqKUlSvE6XQa1gggt6bu9/uNF5Dz6XK5XOB5HsPDw8a9VFU1+XbF43FDTvd5KJXvjeonFApBFMWicWGj71VDNXVrB6fHZtHHGGNWZ0LH7XZjcnKyrDOg7jSSSqVM18bHx4ssDEBpy8CuXbtw9uxZDPXN1TyTWUqfxo6hnVhcmMd2x1U1KwJr227BwMAAlpeXcfnllze9/giilayvr2P37t345S9/2Zb7XXPNNZibm6spCqEe+EZfGpiZmcHExIThQBgKheBwOBAKhYxZY6Gj2djYmNEHqaoKURQN5zTdUbCUvKIoGB8fBwBMTk5CVVVjGUIUxbKzZVmWkUgkDOc8QRCgqqopLZ7nDec/HUmSMDY2BlVVwXGcYSV1OBzwer1FedcdCB0OByRJMspSeO9yFgLd2bBwsqZpGqLRKEKhEPx+v6EQaJqGUCgEt9uNZDJpWAFUVYXT6TSlwXFcyT68XP3k59Hn82FycrIo39XUa+EzAmCqM91ps7BuARiOpPU6EC4tLWHHjh1YXFzE9u3b60qjqVjttKBTyjmlkEQiYdqfyljOoSM/mEUljDgDbx2uy8lp8dnQJYePOpymdKcociAkOpULFy7kAgO14XXhwoWa81fKaY5oHpWcu3sNijPQAqLRqEkbL2fO0bXbfDRNK+tjUJbMS/Wtbd70p7nvp/6x/rVSguhg+vv7sXnz5ra86FwC+xEIBLpqb3296ONQvf4ndsRyZUAf+HUvWUVRTOtYiqKYGp/X6zUpC4lEwmQ6qwr+9xsLhDJ4a51OU/fXX1EEQVREj38fi8WK1sKJ5iAIAtLpdMedJdBswuFwRwekKoWlPgOapmFwcLDouiiKxjpMKBSCoigmD85QKASn02lsJymMflUOfY3m7JmTGHr3H2pWBJaO/h12uP40t8Zz4a2afQ7WPtAwcPkg+QwQBNHR0KmFjWM3nwFLtxZyHIeNdJFS2lfDGtkbjwJ3/2XNuwEOPZ/Bnj17cOh//i3u+82ddSw1PNJYvgmCIGwAKQLdh612E7Qak2Xgimtbu0+6hNzaJ/+MLAMEQRAEWQZsQasDppSTYwNWl5wgCIIgirDcgdAS1CfarwhcthU4/l2rS04QBEEQRfSmMlBnBMKmyBEEQRCEzahaGfjqV7/ayny0l8FbrVEESBkgCKLL6fVth51K1crA1NQUHnnkEeOwn44m87IFioCbgg4RHc/6+jrW1tba8lpfX7e6uLZElmW43W7jgJ5m4Xa7Gw4oFI1GjbMfVFVFJBJBPB5HJBLpOCUhEolYnYX2Um2oQo/HwzRNY9FolB04cIAdPHiwRUERW4cRjvjFv8ldaOC89Xrksq89RuGIiY7lwoUL7OqrrmYA2vLaedXOukISt4pMJmN1FgxEUWw47HJheRKJRENlTCaTLBaLGe9dLpfxfyqVslUo42rKmclkWDAYbFkeOjYc8VNPPYUdO3ZgfHwc4XAYt99+Ox5++GFMTEzgpZdeakwjaTeNRCBsSI4iEBKdy8WLF/HO6Xfws0d/hrkjc8hms5g7Mocjjx1BNpvF+cx5PPXQUzifOY9sNosjjx2pW255eRnzp+dx8eJFq4sNIDfLzT+ut9MpVZ5KhxRVQzgcNgLA5Z9uCMA4FMkOVPss9booLEu3UrcD4fXXX48HH3wQ4XAYCwsLmJiYwCOPPIK5ubkmZq9FWKIIfCRHEB3OHYE7cPaVs3j/lfdx3Weuw647duGVf3wFW7mt+PzE5/Hi374IlmX4zFc/U7fcz5/4udXFNNFtoWebXR49GqyOLMtFx/s6HA5bhImupexjY2M9cxZDw7sJ5ubmIMsyJElCMBis/ZwAK3jjUWsUAYpASHQB2eUs3ONunFZOYz45j53unbjKdRWSk0kMbB3A3cG78Wzk2YbkrnRdWXO+8tfSZVlGNBqFz+crktHXsUOhkOl7+hpxPB6H0+k0ZrKyLGN2dhaJRALRaBSqqkKWZTidTkSjUUSjUbjdbgC5s1Ty18n1WWU1eStXpsL8liIejxvp5svpxwvLsmykUao8iqIU+SHox/vG43FEo9GKa/7T09PGUcH6fUuh+xNUW1b9Weh1pWkanE6nMc5Uep6l6rpU2UvVkY7L5TKFwu9qql1POHr0qPH/4uIim5ycZMPDw2zTpk3M6XSyUCjEVFVtxVJG0zB8Bs6czF1osY9AoVx2JUM+A0THks1mGQD21ENPsdXzq4wxxmajs+yd2XcYY4y9M/sOm43m2v/q+VX273/x73XL6ffKZrM15TEYDJrWpgVBMI5GT6VSpnVsSZKYKIqMsdwavP4/Y7mjehOJhCndwjV6v9/P/H4/Y4yxWCzGUqkUEwTBJONyuYz16Up5K8VG+c3PDwDjOF2/32+s3YuiaCqH/p1S5clPM5PJMJ7nTXnPr59CCo+gF0WxqC54njf5FFRbVkmSjHrOL0Ol71Sq68Kyl6sjnfx7NBO7+QxUHYEwHA5jbGwMkiRBlmUwxuD3+xGNRnH77be3RlNpFRSBkCDq5q4H7sKzkWdxd/BuuMfdSE4mAQA73TsBAMnJJNzjbmPmX4/c2oW1uvI2NDSEoaEh4z3HccZsVJIkOBwO09r1zMxMXffR09bv5fV6EQqFjGPYdXiex/T0NPx+f8W8laKW/GYyGePk13Q6bVgkvF4v3G43eJ7H2NgY/H5/VWWbnp4Gz/PGuvnExERF+cKDi0qVLZ1Ol/VJqFRWv9+PwcFBSJJkWo6o9J1a6rreOuo2qlYGYrEY4vE49u3bh+npaezfv7+V+Wot6hOA8/PtDzz0+nesLjlBNEy+ib9VCsEL33mhJXl3uVwQBMF4X0/Hnz/wNes8e4/HYwxWPM8jFosBqD6/4XAYQ0ND8Hq9pjw5HA5kMhkoioKpqSn4fL4is3epEwhLDe6V4DjOtDQgCAIkSSqSGx4eLptGpbKOjo4aSxj51xt9npqmVVVHvUDVPgP6OdZPPfVUZysCAEUgJIgGUL6rNM03oJyc6/7m/1bGxsaKPNr19xzHYWFhwXS93Lp3fhr5s81S6SuKgtHR0Q3zlkgkkEwmkUwmDUWgUn6BS+vysixDURQEg0HwPG+6Hg6HoaoqXC4XRFEsOaiXStPr9RY5+1XaDeB0Ok1e94VKkqqqGB4eLqtUbFTWUCgEURRNTokbfacaqqmjQkfIbqXqUwsPHjzY8UqAcWrh2bMY6ptruyKwtu0WDAwM0KmFREeytraGgYEBHP/ZcZx95Sxc97uQXc7iuUeew10P3IWBrQNQvqvgSteV2OnaiXllHmeUM3XJjfzpCAZ/bRDZbBabN2+uKn+KomB8fBwAMDk5aTjA6Z28vr0tkUgYzm76djpN0xAKhQxHM90kLUkSeJ6HqqoQRRFutxuCIBhpOxwOhEIhY3aqD8w8z2NmZgZjY2NwuVxV5a0UpfKrqqopLZ7nMT4+bnLeliQJY2NjUFUVHMfB4XAgnU7D4XDA6/UWlUfTNIyPj8PhcBhlLldXpVBVFZIkmTz19WsjIyOYmZnBxMRERQvDRvfz+XyYnJw0XaumfgrrGoCp7PF4vGQdAbk2JcsygsFg2XzXi91OLazagbAcR48eNRwgTpw40WhyLcVwIHzrcMudBUvJZc8cIQdComO5cOECu/rq9gUduuaaa2wVdIiojJ2CCjWLYDBoOGY2G7s5ENa9tfDo0aO44YYbMD4+bphmkskk/v3f/73eJNtH5iULQhEnKRwx0dH09/fj5MmTyGazbXnNzc2hv7/f6mITVRIIBLpqT76+ZNIsvxC7U7cyMD09jePHj2NmZgbso5WG/fv3d0b8aYpASBB10d/fj82bN7flRYpAZ6H7lXXEGFAF4XC464JNVaJuZaCcV2ilrTK2gSIQEgRBNJ1u2pbXS4oA0IAyMDMzg3PnzgEA+vr6AOSiEc7OzjYnZ62kQyIQPvnkk7jxxhvx5JNPtqgiCIIgmksj5xsQ1lH1boJCTpw4AY/Hg8HBQeOapmlIJpP28IwsgbGb4MxJDF1xbdsDD6198s8wcPlg1bsJbOdtShAEQTQFu/XvVQcdKuT666/H8ePHMTk5iVQqBafTaWznsD0UgZAgCIIgDKpWBubm5rB79+6i64UKQDm5cuh7UZ1O54brTfqhEi6XC5qmYXZ2tmIgi/IJUQRCgiAIgtCp2megVGjJUtSytUQP0KEoSlUeqPF4HG63G319fRgcHISiKPWtT1EEQoIgCIIwqNoyIIpiVaEeVVXFAw88UFWaetSuqamparOBVCplWAfqZvBWaxSBbbfUn2eCIAiCaBFVKwP79u3D4OCg6czqUkxPTzecqUo0JQBE5mUAqfYHHnq3NYevEARBEEQjVK0MJBIJnDhxwji8wuPxWOIBqS9DzMzMYGRkxIghXYrV1VWsrq4a75eWlnL/ZF4CRr5GEQgJgiAIAjXuJrj++utx/fXXA8iFIz5x4gQ4jsMXvvAFQ+bBBx9sbg7zcLlchsOg1+uF0+kEz/NllwzC4TC++c1vFn9gaQTCP6y6vMvLy8ZfO2w9IQiCILqTuuMM5HP48GEsLi6C53ncdtttNX/f5/NhZGSk5pOhfD6fccpWKUpZBnbt2pWLM/DuP7Q98NDaBxoGLh/E6dOnN4wzsLy8jL179xrbNp955hls3bp1wzo5dOgQ7rvvvprqkSAIgmgvXRNnIJ++vj489dRTiEaj8Pl8NTkE1kI0GjVtP9SP2SzHli1bsGXLluIP3ngUuPsvLYtAeNVVV9VU7lQqhZ07d1Ylu2fPHlIGCIIgiJqoWxmYm5uDJEmQJAl9fX0YHR1FMpnE7bff3sz8GaiqikAgAEEQDCdCTdPqcyi86Y8tCjz0AIBvtdwyQBAEQRC1UJMysLS0hGg0in/5l3+Boijwer2IxWLYt29fSzKnKApUVYXX6wXP8xBF0TT4y7KMWCxWe8IWRyDcvn37hsrA9u3b8cwzz2Dnzp145plnqrYmkFWAIAiCqJWqlYEvfvGLkGUZLpcLf/AHf4D77y99HO/ExATC4XBVaepBh2RZhqqqAGAM/EAu/oCudOifhUIhDA0NIZVKQZKk+uINdEgEQt0SUI1FgCAIgiDqpWoHwk2bNiEYDMLpdOa++NFJhQDAGENfX59xVsHCwkJrctsgxkFFbx3G0A1faHvgobVtt2Dgys/SQUUEQRA9jt3696otA8FgEH/913+9oZw+w7c1FIGQIAiCIAyqVgbGxsaqkpuYmKg7M22DIhASBEEQhEHVBxVVu0ugVbsJmkrmpfYrAhSBkCAIgrApVSkDi4uLOHDgAF566aUWZ6dNWBqBkCAIgiDsRVXKwI4dOzAxMYGZmRmMjo7ikUcewdzcXIuz1kIsUQQ+kquBQ4cOYc+ePRQ7gCAIgmgpdYUjPnHiBCRJwokTJ+DxeDA6OmoLb8iNMHYT/OcDGLIgAuHay2EMDH+r6t0EBEEQRHdit90EDZ9NcPToUSMKocfjwb333tusvDUdQxk4cxJDV1zb9sBDa5/8MwxcPkjKAEEQRI/TdcpAPocPH0YsFkNfXx98Pp/pNEM7YCgDZ89iKPPDtkcgXGMDGBgYIGWAIAiix7GbMtCUg4p09u3bZ4QmnpycxOOPP4477rgDDzzwQDNv0zgWRyBcWVlpWdEuu+wyDAwMtCx9giAIovtoqmXA7lgdgXB9x63YuutzpmOVm01/fz9WVlZIISAIgrAxdrMMVB1noBRLS0vG/z/84Q/xwx/+sOEMtQWLIhD2f+IOLJ/6L2RfewzZbBbZlQyysw/l/mazuetnjuT+P3OkZrnlxfewvr6OCxcuWF3DBEEQRAdRtzIwOjqKaDSKxcVFfPGLX8TU1BQWFhbwyCOPNDN/rSHzcvtDEX8k17/4Mjbf/FVs7sti81t/i823TmDzr3LYfPIfsfmKO7D5is9g87lXcq+a5b5tdc0SBEEQHUjdPgNjY2PYv38/jh49ClmWsb6+DiDnK2B7Mi8BI1+zNt5AS+QeAPAtq2uXIAiC6DDqVgYGBwcB5I4h1p0GAWBoaKjxXLUayyIQtliOkZ8AQRAEUTt1KwPJZBKapkGSJEQiEQDAwYMHceLEiaZlrmVcWAZe+7vOGODr2K1AEARBELVQt8/Agw8+iIWFBUiShHvvvReHDx+GqqrYsWNHM/PXGt541PqBu1VyBEEQBFEjvbm10KIIhK2WW9t2CwU1IgiC6AC6Zmvhd7/7XdP7gwcP4uDBg52xvdAGA3dr5OiIZIIgCKJ26lYGNE0zvd+/fz/2798PVVUbzVPrUZ+wwcDdIjmCIAiCqJGaHAgffvhhY7CfnZ1FKpUyfa6qKjiOa1rmWsbgbfYYuJsudz+AP7S6dgmCIIgOo2afgcXFRYRCIaiqCp/PZ/qM53nTNkO7YTqoqG+uQwb46uXWPtDoVESCIIgOwG4+AzVvLdyxYwcef/xxHDx4EPv37284A6qqQpIkOJ1O+P3+DeUjkQh4noeqquB5Hl6vt/abZl4GkOqIAb42uQ6I/kgQBEHYjrp9BsopAhMTE1WnIcsyFEWBoihFPgilCAQCcLlc8Hq9CAaDmJqagqLUsU6eeckGA3erIhASBEEQRI2wOonH48zpdDKHw2G8BgcH2aZNm2pOy+v1MlEUN5QrzK4kSczv91d9n8XFRQaAnT17lrG184y9/Be5v4wx9laUsYXZ3P8Ls7n3jHWUXDabZQDY8vJy1XVSyBNPPMH27NnDnnjiibrTIAiCICqjj0eLi4tWZ4UxxljdEQgTiQRisRh4ns9XLHDgwIGGFZRSyLJc0jlRluXaE6MIhGW555578Pu///u45557Gk6LIAiC6AzqVgZ8Ph9uv/32ouuhUKihDJWj1DKCw+FAOp0u+53V1VWsrq4a740jl994FLj7LztjgKcIhARBEESLqdtnoK+v79Lgmsfhw4cbylA50uk0HA6H6RrHcRV9DcLhMHbs2GG8du3alfvgpj+2x8DddDlSBgiCIIjaqdsyMD09jUAgAI7jjEGaMYZkMon777+/aRnUKVQEgJy1oFJcg4mJCXzta18z3i8tLeUUAlsM3C2Qe/eFptc7QRAE0f3UrQzMzs4iGAwWDdKSJDWcqVJwHFe0JFDKWpDPli1bsGXLluIP1CcA5+c7Y4BvcwTC5eVl468d9r4SBEEQraduZUAUxZIBhvIdCpuJIAhFSwKapkEQhNoT6/IIhEtLS7hw4ULN1bK8vIy9e/cCAPbu3YtnnnkGW7durTmdQ4cO4b777qv5ewRBEIRFNLod4ejRo8bWiBMnTtSVRrmthclkksViMZNcIpEw3guCwJLJZNX3MW0ttNm2wGbIZVcyDIDlrz179lT9TAiCIHqRrtlaePToUfh8PgwODmJiYgL33nsvkskkVFXFF77wharS0IMOybJsnHng9XoN64IeVEiPMhiLxYxQyJqmGUGIaqbLIxCePn26rnDEumUglUrB6XQ2ZBmolieffBLf+ta38NBDD5E1gSAIwirq1SIOHDhg/B+Px43/Dx482Jh60kIMy8CLf5O7YPOZfq1yumWgkaBD8/PzDACbn5+vO41asJt2TBAE0Q7s1vfVbRkYHh4ueb3Svn/bwP9+h8z0a5RjAw1XjW4JqMciQBAEQXQmdccZmJmZwblz5wDkYg4AwNzcHGZnZ5uTs1Zih4G7JXLftbpmCYIgiA6kbstAIBDA7bffjsHBQQC5AD+apiGZTDYtcy2DIhASBEEQhEHdysD111+P48ePY3Jy0nA4Gx8fb2beWke3RiDcdovVNVszFNeAIAjCBtTrbPDwww8303ehLZi2FtrUCbARueyZI7Y4tfCJJ55gi4uLG77m5+eZ0+lkAJjT6WTz8/NVfY9OVCQIotOxmwNh3crA4OCgrXcOlMK0m6BDBvha5LKvPdawMtAM9uzZQ3EMCIIgKmA3ZaDuZYKJiQns27cPk5OT6OvrgyAI2L17d73JtZcuj0C4srJiafWGQiEjNkQl6o1rUEscA4IgCKIKmqVVHD58mI2OjrLJyclmJdl0uj0C4YUPF9mvDFxmeQTC/v5NbHV1tapn0u64BgRBEHbAbpaBurcWvvTSSwBy2wkPHDgAr9eLVCpV8eAg25B5uUNm+rXJ9R/7G5xfWkA2m0X2tceQPXMk9/+ZI7n32SyyKxlkZx/K/W2B3PIrj2J9/WLVZyNQXAOCIAgbUK8W4XQ62fDwMHM4HOzAgQNMVdVmKiktodsjENpBrlYnRrtpxwRBEO3Abn1fQ8pAxzoQnj1rqwG0m+Sy2SwpAwRBEBtgt76vbmUg/zyCTsFQBs6ctNUA2k1yZBkgCILYGLv1fVXvJlhaWoKqqlBVFTzPY//+/QCAxcVFTE9PY3FxEQDA8zzuvffe5q1jtIC1V/8frN35F7lY/q9/51LAnndfuOSV/4GWOwXwUw80VW7Tp4Pot6nPQdPkauDQoUPYs2cPDh06RKcWEgRBWEW1WsOmTZvYgQMHKmoxsViMbdq0qSlaSivQNTErX9dccw278Mbjls/gWyVX6zIBQRBEL9KxloF9+/YhHA5XlPF6vYbFwM5Ef/Q8fvOOm5A6s4SP/epmfOxXNuP46UXceeMV+InyNryf5RE/ouJLrmvx/LF3ccNVO3D+wzWc/2ANziu347ljZ/Al93WIP6/CeyePnyRP4q4br9wwvd/8jatw9a85cJG7Df12mMG3Qu4DzerHSxAEQdRI1VsLXa5Lh+AcPHgQo6OjGBkZwSOPPIK5uTnjM57nm5rBVnDnzTtxcuEDDG6/HIPbLsfc2RV87tPX4KevnMbv7r0Rh2ZP4Z7PODGjpnHztR/H6jrw4QXgpl1DeDG1gHs+ewMOzZzC737uRvz05Xl8/tO7qkpvVv3oeGeHyx4Dd0vkHrH24RIEQRA1U7UyMDQ0ZPy/f/9+RKNRuN1uPPDAA6bIg/lyduXEu+ew7aMZ/FunF3HXjVfgx8m34buTR+x5FV92X4vnjr2LT35kETj3wRpuuHI7nn3jDL48fB1iz6nw3cXjx7MncfdNV+L4maWq0rvhqh25DKQVmwzcrZB7wNqHSxAEQdRM1cpAX1+f6T3Hcbjhhhs2lLMjWy1QBPT0ANho4G6RHEEQBNFRVO0zkEgkMDg4CMaY6RrHcSa5qakpPPCAvWeHH9tijSJw/oOPlIEb7rfPwN1sude/Y+3DJQiCIGqmJmWg1OA/MzNj/K9pWkdYBtR3F/Fbn7m5rYrAuY+cDwHkBtC3/tb6gbtVcgRBEERHUbUy4Pf78fjjj28od+DAgYYy1A7uuOHX2q4I3HDldjz9i1O5DLz2CHDrhD0G7mbLbbvF2odLEARB1EzVPgOBQKAqubGxsboz0y5++vIv264IPPtGbjsigJyTnR0G7pbI1RZ0iCAIgrCeqi0Dt99+e1Pl8olEIuB53ohu6PV6y8qqqgpN0+ByuaBpGmZnZzE8PFy0fFGJ/zayu+2KwJeHr8M//9exXAZsM3BbH4GQIAiCsAFWRz3y+/0skUgY771eL0smk2XlRVE0RfQTRbHqe+kRnx770Qssc/5D9pPkSfbmvMYU9X329Kvz7J2F82z62eNsZXWNPfEfx9jK6hqbfvY4e2fhPHv61XmmqO+zN+c19pPkSZY5/yH7/tNvsg+zF9j3n36zqvQWz68wACz72mO2iRjYbDmKQEgQBLExdotAWPUyQauIRqMQBMF47/F4IElSxe+kUikkk0kwxhAMBmu+5xdvvaatFgE9vZ8kT+YyYJcZfKvkCIIgiI6i6mWCViDLcknzvizLFb/XaJTDF4+/B/fN17dVEfjxbC5kMQCKQEgQBEHYCkuVAU3Tiq45HA6k0+mK34vH4wBy2xpHRkbK+hisrq5idXXVeL+0tAQA4K9or0VAT++NUwu5jKQV4NwrNhi4WxWB8Fu1NwaCIAjCMixVBtLpNBwOh+kax3EllQQdl8tlOAx6vV44nU7wPG86O0EnHA7jm9/8ZtH186truKyvvYrA8Y8OMcoVXAFu/qoNBu4WyLEBAMDKykr9DWMDLrvsMgwMDLQsfYIgiJ7DSoeFWCzGeJ4vusZxXNVpeL1e5vf7S3724YcfssXFReN16tQpBoD96Ge/aLmzYKn0Xj35fs6BMJu1tRNgI3IX3nicbdky0NJjoPv7+9nq6mrVbYQgCMJukANhHhzHFS0JlLIW5BONRk3veZ7H7OxsSdktW7Zg+/btphcAXH/FtrZaBLblHWsMwB4z+BbJ9X9iGMvLK8ieOYLsa48hm80iu5JBdvah3N9sNnf9zJHc/zXKLS8vY319HRcuXGig5REEQRAmrNZGCrMgimLZmX4qlWIAWCqVMq75/X7m9XqrupeuiX3332baahHQ03svcy5nGZh9yPIZfKfKZVcytHWRIIiOx26WAcuVAa/Xa4ozIAiCKc5AMplksVjMeF8YV4Dn+YpxCfLRK//U/Jm2KwKZ8x+y7x1+NacMrGRyGbLZQNsJctnZh0gZIAii4yFloATBYJBJksREUTQN/PpngiAY71OpFAsGg4YFIV+R2Ai98v/+0JG2KwLff/pNdm75g0s+AzYcaDtBjiwDBEF0A6QMWEi+ZaDdisCH2QuXLANdHIGw1XIU4ZAgiG6AlAELyfcZaLci8P2n3zR8BpZP/Yxls1mWPXOEZV97LPf/SoZlZx/K/c1mc9fPHKlZ7sIbj+cKa4OBuxVy2dce6yll4IknnmB79uxhTzzxhNVZIQiiiZAyYCF65f/8rZNtVwQy5z9kP3pRZVft3NnSbXc7r76aXfhw0RYDdyvksmeO9JQyYLcOgyCI5mC337alQYes4sS753DNzitasn2wUno3XePAj55WsLS8CueV2/HcsdyxxvHnVXjvzJ1dcNeNVyL1UYAifTvinTdegZ8ob8P7WR7xIyq+5LoWzx97Fzd8lL/zH6zBeeV2PPPqL/F7+34DF38RQf+tE5ZvM2yJ3LZbrG4+BEEQXYflBxVZwdYWxRGoJr2V7EXctGsIL6YWcM9nb8ChmVP43c/diJ++PI/Pf3oXTi58gMHtl2Nw2+WYO7uCz336Gvz0ldP43b034tDsKdzzGSdm1DRuvvbjWF0HPrwAI73/9TPOXAE/9YA9Bu6WyPXWEcnLy8umvwRBEK2gJy0DH9tijSLQ6vT++b+O5Qpom4G7RXI258knn8Q999zTcDrLy8vYu3cvAGDv3r145plnsHXr1obTBYBDhw7hvvvua0paBEF0Pn2MMWZ1JtrF0tISduzYgX8+fBS/9Zmbu0oRiD2n4p6RXdjxscuRfe0xbL7iDnsM3E2WW7vuKxgYGMD777+Pyy+/3OomVZLbbrsNb731ltXZqMiePXtw7Ngxq7NBED2LPh4tLi4a0XGtpCctA3fc8GuWD9ytSO/QkeO5Atpk4G6F3KbVJfzKwGX4xCc+YW0jqkBfH/D+++83fJiSbhlIpVJwOp1NtwwQBEEYWO3B2E50783HfvRCS3cNWJXe3JnMpaBGNt0N0Ay5Cx8uNrT9spVyy0cmmrrbYX5+ngFg8/PzTUmPIAh7YLfdBD2pDLxz+l3LB+5WpHf4pZM5ZeDMEdsM3L0m1+wIiXbrMAiCaA52+233pDLw2I9esHzgbkV6LxzLzSKXX3nU0hlyN8c5aHeERAo6RBDdCSkDFqJXfurkO5YP3K1I7/VTC+zXrriypUGNqnntvMKRUwgYs/XA3Qq5XouQSBBEfdhNGejJOAMvHn+v450FS6Wnvncer72ZwvcOv4pzyx/ge4dfxXuZc/jXI8fx6sn38cKxeRx+6STmzmTwg6dfx+L5FfxD4hdYPL+CHzz9OubOZHD4pZN44dg8Xj35Pv71yHG8lzlXU3rR/+8lzL+bxsVNv2o758NSck8+NY8b7/zf8ORj32zefQmCIDoNq7WRdqJrYi/8Qu0qi4Cd0ls8v9JRhzEZ2rny7aakRwcpEQRRDXazDPSkMnA4eawjB9pOSO8HT79+yYmRMVsrAowxtnjiPy/9IJuQXq+dnUAQRH3YTRnoyTgDyx+swb27O5YG7JbeXTdematkh8u2SwP5csvzL+baxOL72D73ZNMiJK6srFjVvKvisssuazgOAkEQ3UNPKgPXX7GtIwfaTkjvjVMLAIC1d18Ezr0C3HA/8IEGvPZI7swENgC8/p1Lhw69+8JHA231cv/0/0q496YTwE1/CqysA6m/AwZvBS77JDD3NJB5GXB+BUifBt74dlm55fkXsfc+CQCw9+4RPPPsDLY2kB4yL2N99++hv/+PbR0UCQD6+zdhZeUDUgi6lCeffBLf+ta38NBDD1HYaaI6rDZNtBPdLPPdf5vpKNN7J6U389aZlh/T3N+/yfIdE5Ven7zWYUnAI6sCIxH2g4JV2R9aJrABX7xtV8fNuDspPenQz/DZT36iqmOXaz3G+b+5d8HBbcfZs2ex+e1/ys3MHbcD6aOXZvAXli/N4C/bCqT+saTc8uL72Hv3CFKnMrlwv08GsHXnHXWnp8sdOubE5l/lcksI+WdEnHsFuPmrObm3/hbIP2a6nXK3BAGELfwFEs06zKoUrTzgKh867KrLsFobaSe6Jvb3h4503Iyb0sul973Dr+Zmta882pSZ9MlUzuHx5NP/d9Nm5hcuXLCFc2S7AiMRtbNnzx7LLViNvvbs2WN1NXY0drMM9OSphafmz+D5E+c7bsZN6an47duuxqf2OPHeu2esbk5l2Xnlx/H2Kz9B/yfusKUT5drr38HAp/7Q1ic/bkSnO0C2wzLQigOu8iHLQGPY7dTCnrQMfPffZjp+htzL6b1+aoG9cGyeHX7pJJs7k2E/ePp1tnh+hf1D4hds8fwK+8HTr7O5Mxl2+KWT7IVj8+zVk++zfz1ynL2XOce+d/hVdm75A/a9w6+y9zLn2P/5FxG2m3eyb4jfbkp6B3/2BgPsfVjUhfdeYFu2bLF8ZtnIq79/E1tdXW1NR9EFRKNRdu2117JoNGp1Vogy2M0yYAtlQBRFFovFjL/NltfRK//nb53smoGR0rNXeq+efD+nDNj8sKgL771gC2fGeuSWX3mUljmIjoeUgQL8fj9LJBLGe6/Xy5LJZNPk89Er/0c/+0VXDDyUnv3Ss8thURvJXXjj8dyPwoaKykZyFNiJ6AbspgxY7jPQ19eH/CxEo1Ekk0lIktQU+Xz0NZrDyWPYddUVHblmTunZOz3t/If47791B+bnTzf+42ghO6++Gm+nXkP/sb+x3IehVrm1bbdgYGCgo30euoFO99uwGrv5DFi6tVCWZXAcV/J6M+TL8bEt3THwUHr2S+/GqwfxP/7lP/Hbrl1Vb5ds9vbLjdJ75tVf4vf2/QZWX/prbL4liGYEgsqX+5/fn0b4/zqAia/9Af77H3yl4fQK5dbfn8GWgctsH9ip2+nv34SzZxdsqRAsLy/j9ddfx80339wS58lmYLcopZZaBuLxOMbHx5HJZCpeq1d+dXUVq6urxvulpSXs2rUL3//pLL54x42WdMSUHqVndXq/dds1cF6/G5n0QpN/0US1fOITQ/j5jw6g/4av5Cwgx/4euPH/yFlA1CdzcSwGb83FsMi8DPD32UpuffunsfPXfxsXL160uio7HrtYBiz1GZAkifE8b7qWSCRYuWzVKv+Nb3zDcq9netGLXvSiF73KveziM2DpMoHD4Si6pmlayaWAeuQnJibwta99zXivWwbefvtte2hiBGERw8PDOH78uNXZqJvNmzdjbW3N6mzUjdPpxJEjR6zORkNMTU3hd37nd6zORhErKyv48pe/jLm5OezevRs//vGPbelbcu7cOdx6661WZ8PAUmWA4zik02nTtXQ6XXLQr0d+y5Yt2LJlS9H1HTt2kDJA9DR//ud/3pKgN+0KePPggw/i4Ycfbnq67QzY8/GPf7zp6baTP/qjP7I6C2X5+te/jr/6q7/C17/+dfz6r/+61dkpydLSktVZMGG73QSRSASpVKrq3QQbyedjN+9NguhGTp8+jZ07d2J+fh5XXXWV1dmpmU7PP9EZ2G082mR1Brxer2k3QCKRQCAQMN4rioJ4PF61PEEQ1pJIJLBnzx4kEgmrs1IXnZ5/gqgHyy0DABAKheB0OqFpGnieh9frNX2mKIrph1lJvhJ208QIgiCI3sRu45EtlIF2YbfKJwiCIHoTu41Hli8TEARBEARhLaQMEARBEESPQ8oAQRAEQfQ4pAwQBEEQRI9DygBBEARB9DikDBAEQRBEj2NpOOJ2o++itFsYSIIgCKK30Mchu+zu7yllYGEhd2Trrl27LM4JQRAEQeQOLNqxY4fV2egtZUA/0Ojtt9+2ReW3G/3UxlOnTtkiyIUVUB1QHfR6+QGqAzuUnzGGc+fOYefOnZbcv5CeUgY2bcq5SPT6qYXbt2/v6fIDVAcA1UGvlx+gOrC6/HaalJIDIUEQBEH0OKQMEARBEESP01PKwJYtW/CNb3wDW7ZssTorltDr5QeoDgCqg14vP0B10OvlL0VPnVpIEARBEEQxPWUZIAiCIAiiGFIGCIIgCKLHIWWAIAiCIHqcroszEIlEwPM8VFUFz/Pwer1lZTVNQzQaBQAkEgkEAoGK8p1CLXWQj6qqkCQJoii2OIetpdby6+UeGRkBAAiCAI7j2pDT1lFrHUQiEXAcB03TamozdkR/nk6nE36/f0P5en8vdqaWOujWfrDWdlD4vU7vB2uGdRF+v58lEgnjvdfrZclksqK8TiaTYQAqyncCtdZBPoIgmOqkE6m1/KlUirlcLpO8KIotzWOrqbUOCssrimLH/g4SiQSLxWJMEISqnmMjvxe7Uk8d6HRLP1hrHeTTDf1gPXTVMkE0GoUgCMZ7j8cDSZJKyqqqClVVoWkaAIDjOAiCgHA43I6stoxa6iAfWZbB83wrs9YWai1/KBRCIBAw3k9MTNQ0i7AjtdbBzMyM6b0gCJBluWX5ayWCIMDr9VZt2an392JnaqmDbu0Ha20HOt3SD9ZD1ygDsiyXfPCVOrXZ2Vmk02njvW4q7FTqqQMdVVXhdDpbkKv2UU/54/G4aTBwuVwdvURQTx0oimKYiYHc78LlcrUie7aikd9LN9Ft/WAjdEM/WC9dowzomm0+DofD1Mjz4XkemUzGpAXKsozh4eFWZbHl1FoHOtFotONnw0Dt5VcUBUCuA4jH44hGo6ZBsROppw3o1hGfzwdFUaBpmklB6lbq/b10E93YD9ZLt/SD9dI1DoTpdNo4lVBHd4iqBkVRkE6nO9pppJ460B3GuoFay6/PfjRNMxymPB4PHA5HxzpQ1dMG/H4/kskkotEoZFnG4cOHW5xLe9Bon9GNdEM/WA/d1A/WS9dYBgp/1EDuAVdr8h0fH8fhw4c72kRcTx1MT093zSyw3jaQbxL3eDwdvV5aTx1Eo1F4PB6kUikMDw/D7Xb3hKm80T6jG+mGfrAeuqkfrJeuUQY4jisy75XS/EsRCoUwOTnZ8euktdaBLMtd9QOotfz6TKBwRtDJ66W11oGqqkgkEvB6veB5HolEAqIoIhQKtSO7ltJIn9GNdEs/WCvd1g/WS9csEwiCUGTeq2btMxqNYmxszPgBdHLDqKcO4vG48f/U1BSA3L5rv9/fcbODWsuvP3N9fzkALCwsdLS5sNY6UBTFiK+gEwwGjbbQzdTbZ3Qj3dQP1kM39YP10jWWAQDwer0m86YeQENHURTTQ9dlOY6DqqpQFMVwKutUaqkDQRAQDAaNlyAI4HkewWCwY38AtbaBYDBoklcUBRMTE+3JbIuotQ0kEgnT91VVxdjYWHsy22YKn/9GddWN9EI/uBHd3g/WQ9edWhgKheB0OktGUguFQlAUBYlEApqmYXBwsOj7oigiGAy2M8tNp9o6yCcSiRj7qwOBQEfXQa3l103iQ0ND4DiuKzyKa6kDRVEwNTVl2lLVqXUgyzIURUE4HAbP8xgbGzOWQIDyz79cXXUitdRBt/aD9bQDoLv6wVrpOmWAIAiCIIja6KplAoIgCIIgaoeUAYIgCILocUgZIAiCIIgeh5QBgiAIguhxSBkgCIIgiB6HlAGCIAiC6HG6JgIhQXQq+fv89VC4MzMzpsNiqpHR91bzPG+E2dXjBaiqauyt1uMqaJoGSZKQSCQ6OuoiQRCNQ3EGCMJCZFmGKIqm4CeqqhoHB1UrE4/HkUgkjIAp+vdisZhxTZZlSJKEWCxmyOin1Nk19GyvHxxEEO2ClgkIogVEo1G43W4MDg4iFAohEokgEokY0e702bnP5zMN4ACKouBVIzM+Pl507KwgCJidnS0bWlaWZbhcLtsezKNpWskTJFVVRSAQMOo0Go1CVVVEIpGqjh+Ox+PweDzo6+uDz+crqh+Px4PBwcGuD0tMEPmQZYAgWoTP54PD4SgayBVFgSzL8Hq9cDqdqPQTVFW1Khm3241MJlP0WSAQgNPpNM5gCIVCCAQCSCaT8Hg8NYfeVRTFUE4kSYIoiuB5HpFIBDzPQ1VVuFwuCIJgLFsAMMI8R6NRQ/lIp9MVwx5Ho1EMDw+bTtGLRqOIxWKIxWImi4GuaGUymaosCXoY3lgsVlQHmqYhGo32VChagiCfAYJoEbIsY3Jysui6y+Wy7Jhknufh9/shy3JVs+hCXC6X4V8wOTkJjuMQj8exsLBgDJ4ejwc8zyMUCiGZTALIKUY8zyOVShkKQCQSQTweL6uQJBIJk7KgKAoCgUDJAT8YDBYpXZXgOA6CIECSpKL7T09Pd+zZDARRL6QMEEQLUFUVmqaZZrX5x8Lqg6p+UlyhA58+SFYrA5ReX5+dnS1p7hYEwVBIotGoMWvXfRAKmZiYMNLmOM7IF5BzZNQ0zTj9ThRFxONxkx9CLBYzlkh0eJ5HIpEoqQyoqlp0tHIoFILX6y0786/VyhEIBODz+YrqLZVKkZ8C0XOQMkAQLUCWZWPQBMznpQMwruuDZL5TX+GMvRYZURSNewMoMrMX5kHTNCOtWmbD+X4GHo8HsVjMGPz1HQ35ioWmaRgZGcHMzIxxTXeCLIUkSUVKjO5IWY58hUVPX5Ik475jY2OmutCVh3xLQCklhCB6AVIGCKIFJJNJYy19YWEB0WgUJ06cKJITBAEOh8OYNeuDbP4st1YZt9uNqakp8DwPSZKgaRrS6TQkSYKiKIhGowAubS2sNMAWop91n7+mrlsZdH8AjuPg9XoNpz5d8dGv5StG5WbzhZYQXWGpNGMv/Mzj8SCZTBr5cTqdRZYPv98PSZIMZSAej5OvANGbMIIgmg7P80ySJOO9KIptvX8qlTLuH4vF2nrvRkkmk6a60wFQVI+ZTIaJosgkSWKSJDFRFFkmk2GSJDGXy2WSdblcLJlMFt0LAEulUowxxoLBYJNLQxCdAW0tJIgmo2kaVFXF8PCwcS3fBK/PzFuJbhWQZdkIQNQpSJKE0dHRouuCIJiWGYCcNUCfyQcCAQiCAI7jTPEX9NfExESR34Xuu6HX1djYWItKRRD2hpYJCKLJ6I50+evTuglbURSTktBKhoeHjW2EnUap5QBRFOF2u0s6Sup1qg/2TqfT2L65EV6v11DQalkyIYhugiwDBNFkEolEyYh+mqYhFAqVdehrNpIkdZxnvB4QqBQulwuSJGHfvn1FDpS6Aqbj9/sNC01+2qW2dAYCAWiahqGhocYLQBAdClkGCKJJ6N7r09PThvMgACwsLBiOc/kzz1AoZDjxAblBSRTFjhq8m01hSOVC/H4/BEEwbVOcmZmBx+Mp2g2RTCYNh0rdsbHUGQw8z0MQhJq3JhJEN0ERCAnCIiKRiBGZT9M07Nu3ryNN+s1Ct5zUEjyIIIjmQMsEBGER+csJoVCoZLTCXmJ6eprOAyAIiyBlgCAsQt9LH4lE4PP52uZLYFcSiUTP1wFBWAX5DBCEBaiqCo7jjFDAvewnAFyKUEgQhDWQzwBBEARB9Di0TEAQBEEQPQ4pAwRBEATR45AyQBAEQRA9DikDBEEQBNHjkDJAEARBED0OKQMEQRAE0eOQMkAQBEEQPQ4pAwRBEATR45AyQBAEQRA9zv8P8zQQMPKph4gAAAAASUVORK5CYII=", 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", 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", 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", 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", 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RiUS01gaWZTE8PJz1PYWsnEYIIYSQ8tI1qGBZFtFoNOk5QRCSljtORx13MTQ0hM7Ozowr683Pz2N+fl57PD09XWSJCSGEEJKJ7i0ViURRRCQSgcfjyZjGZDKho6MDDMPAarXCaDSCZdm0XSFutxvPPfdcOYtMCCGEkBuqaulzs9mMvr6+vMZK2Gw2GAwG8Dyf8lq6lor29nZMTU3R5FeEEEJ0Mz09jXXr1tXd+ahqWipcLldOAYXP54PdbtcesywLQRDSpm1paUFLS0tJy0lII7t27RquX79ekc9atmwZli9fXpHPqkXqAHdCqonut5QC8UChu7tbCygyBQmSJMHhcECSJO05WZZp4CYhFXDt2jVs27YNK1asqMjftm3bcO3atbJukyAIMJvN8Pl8Zf2cUvP5fIhEIgDi3cbqbfiJ8/ioj30+HwKBALxeb9KxUxAECIKAQCAAl8uV9Vb+auT1evUuAklD96BCDSAYhtF+EIk7tyiK2sBMlmXh8XiSgghBENDb21vZQhPSgK5fv45PP/0U74+M4/jJcRx+bwyjF6L4+yMfY2r2Mv6/4IeYmr2Mvz/yMUYvRHH4vTEcPzmOj8Y+wyuDI7gUncH/PPwRZuau4H8e/giXojN4ZXAEH419lpLf59EpfPrpp2VvFeE4bsmB4ZWS6yR+oijCYDBox0Ge57W5exwOR9LxMRAIwG63w2q1wul0Jo1XU7uO1bFpNputpNtTjFzqwm63w+Vylb8wJC+6BhWyLMNiscDhcMBoNMJoNMJsNiel6e/vTxovYbVa4XK54PV64XA4wPM8zVdBSAVdvQZc/QL4SnsbToQn8fj9O3Bo6ByeengXXn9/HF+7ux1jk1fQuvYWtK65BaOfX8bDd2/B6x9M4Kl9u3Bo+Bwe32vEkBTBnbffivk0+b0yfK5i29PW1laxz8pEkiQMDAzklNbtdifd8WY2mxGNRhGNRhEMBpO6RPr7+zPm4/f7k46d1dKVkmtdqOVNbH0h+tN1TAXDMFhqnOjiO0HU1gpCiD5mryzgK+1tePuTC/hmx1b435Fge5DFq8NjeOgrGzFyYRprbm7G6pXNOD0xhQd3bcCrobOwPcDCf0zCN823452TF3HHpnWYvbqAmSsL2LFxbVJ+1gdYfFfvDa0gj8eTckGVTqbu3kwBgcFggNlsht/vhyRJsFgs2muJLTR+vx8OhyP/gpdBrnUBAN3d3QgEAnA6nWUuFclV1QzUJITUBuOiAKDUAYXtQRaHBkcKKpskSeB5Hp2dnYhEIujq6gLDMBBFEYIggGVZSJIEq9WadHJW1xGSJAnBYDBpRl9BECCKIliWxdDQEDweDwRBgMPh0JrfeZ5HKBTKmNblcmldE4s/QxAEbRJAIH6yzzRObGBgAJ2dnUnPybKcNHdPYheI3+/H/v37YTQaYbfbU+6SE0UR/f39sFgsSQPgF0u3XepYDJPJBL/fD1mWYTabwXEceJ4vWV0YDAYMDAyAZVnIsqzlBcSnGFCXeiBVQmkgU1NTCgBlampK76IQUnNisZgCQPn7Ix8rl+cXlJ//00nl8vyCMvD2iHJ+clY58tG4IkqfKafGZeW10JgSnb2q/OLIKeVq7AvlF0dOKdHZq8proTHl1LisiNJnypGPxpXzk7PKwNsjKfmNXogqAJRYLJZz+aLRqMKyrBKNRhVFURSn06l4PB4lHA4rHMclpTWZTFo6j8ejWK1W7TWO45RQKKQoiqKEw2HFZDJpr/E8r3g8HkVRFMVutyt2u11RFEXx+/1Z0zqdzoyfob7O8/yS2+h0OpPep263KhQKKSzLao/9fr8SDAYVnucVAFp5F7/fbrcrfr8/7Wdm2y6e55PyVLehlHXh8XiUYDCY8hmqxM+pJfV6PqKWCkJIXh4zl6+FQs3vk3OTeZdLvZpVuwLUAdxutztl3BXLshgYGNCuzhOv/hmG0a6UeZ6HwWBIuiNtaGhIS6eOx1DHemVK29bWljR2I/Ez8pHuNlJJkrTtU6/+1XEGiVf1HMfBbDbD5XIltYQwDAObzQaLxYJoNJqSf7Y6sNvtaG1tBc/zSV0z2d6Tb11YrVaYzWawLIvu7u6sLSpEfxRUEELyEjgm4amHd5UtoBi5MI3VNzfnXa7FJ9xSDTw0mUxJ4w8Wz5OTa9pcZZt/gmGYpDsjRFHE/v37U5Y7UE/oicESy7Lo7e3VunpsNpv2PnU7EgOUXLerq6tLuyU38flS1YXBYEA0GtW6amw2G4LBYN55kcrQ/ZZSQkhtsT5QvhaKxPzyLpfVmjLXgiAI6O7uTpn7RhRFdHV1LZlnuvcmPk68wl4qba6yvcdoNCbd7bB44LogCLBarWAYBiaTSWsdUE1OTsJkMsFgMCSd8EVR1N6z2FLb5XK54PF4YDAYcn5PrgRBgNvt1oIdj8eTEnAlfi7RX1VN011u9TotKiGVsLCwgBUrVuAXh/8F++7agvCNFoXVK5sxMjGFB3ZtwGviWVjvZxEYlPCY6XYcO3kRO24EFLNXFmDcuBbvnLyAx8xbETgWv8vjtdAYHty1MSm/T85N4snf+wpisRiam3MPMARBQDAY1K7QOY4DwzApgwbVyfZEUURPTw8AoK+vD5IkaYMP1Tlx0uU5PDysdXe4XC7tBJ0urSRJS36GJEnaXQ/ZBmqqA1ETAwl1ECrDMAiHwylBhhowqOVR8w4EAlpQFAwGU+YAyqVeVTabDX19fUnPlaouAoEAGIaBwWBAJBLR5tZI3PZaHKhZr+ejhgwqPv/8c92+RJp6mNSqa9eu4fatWzF+/nxFPm/z5t/B2bNj9HtZxGazJd2d0sgS7ySpNfUaVDTkmIpbb71Vt8+++eabMTMzQwdKUnOWL1+Os2NjtPaHzhwOBwKBQNIEWI1IHVtSiwFFPWvIMRXvvv4uBl8YRCwWw2x0Fm88+wZmo7OIxWIYfGEQo4OjiMViGB0cLWm6kbdGcOXKlYodlAkpteXLl6O5ubkifxRQpMdxHCKRSM7Tetcrt9tNEyFWoYbt/pgfnceEOAFzjxmxuRje9r6Nh5wPYcWqFQj1hbDJtAmbzZsxHhovWbrb7rkNK1asyLufmBBCFqNVSmtbvXZ/NGRLxcT7E9hs3oxNpk0I9YWwYtUKPOR8CG9730ZsLgZzjxkT4gTGQ+OlTSeO673phJA6QQEFqUYNGVRceu9S6QOGHNJdEC/ovemEEEJI2TRkUHHvv7+3PC0RS6QzfY9WUyWEEFK/GjKomJuawz1/dA/OnTiHseNjuO2e23DrPbfi+E+Po2lFE/b85z044j6CObn06QghhJB61ZADNfW0bFkT5uYuY+XKlbqWgxBCiH5ooGYdmfjt64jFYohdGETsty/E/385itjws/F/Y7H48xcGk9J9/vnnAIDP//lA1nSZ8ps79xauX1follJCCCF1qSEnv2peb0bzzAfAzAfAnd8HvpgDTv8YuLcXuGkVMNIHbNgDGMxAJKSla45MxN//uz9A881MxnQZ81tzj74bTkiRrl27RpNfEbqdlWTUkC0ViL4PRERgR088APitF/iq88sAwGD6MlBITPfJ38bfv1S6jPmJ2ctFSBW7du0atm1tx4oVKyryt21rO65du6b3ZutCEASYzWZt9c9SMZvNCAQCReXh8/nSLlXucrkyTsiV7bVq5fV69S5CTWrQoOK9/AOK33qBr/xp/P3hvysgoAhRUEFq2vXr1/Hp+QnMzc3l3XWYb7q5wV58en6iKroK9TgZchyH7u7uovNZXHaPx5O0Omm+RFGEwWBImRpbFMWMJ+Fsr+kll+/UbrfD5XKVvzB1pjGDCvbf5x9QqOkAoPXewgKKHd/Td7sJKYHmmX9B88wHaL7z+2huiqH59I/RfG8vmm9m0Dz2d2jesAfNG/bG0xSa7p7qWHVSkiQMDAzoXYyCpCv74tVF8+V2u9OuOSJJUtaVVatpfY5cv1O1nhKXmidLa8ygotCAIvx38fcbdhcQUNxIR0itK2S/LzSA11ktry1R6rLLspw2OMi2uFk1LnyWT710d3cX3V3UaHQfqCnLstZvGAwG4XA4ltwJvV4vWJbVIuC8d9pPfgI89H/lfSCca9kJAJj79B2sXXGugAPm84VUESHVZcf3yh9QfPzTvIslCAIcDgc4joPFYkEkEkEoFILH4wHDMNrrapM2z/MIhUIQRRGCIGjHFKvVCpZlIQgChoeHtfEDHMeBZdms6ROX4pYkCcFgcMllygVBgCiKYFkWQ0NDGU96gUAADMNAkiSEw2EtnSzLGBgYAMuykGUZQ0NDsFgsKWWXZRk9PT1wOByw2+0A4lfhPM+js7MTkUgEXV1dGVsyBgYG0NnZmfRctgGb+Q7mTFcPgUAALpcLJpMJfr8fsizDbDaD4zjwPJ/2Pdm+h3TfqcFgSKk/tW5NJhNcLheczupoOasJis7sdrv2/2g0qgBQQqFQ1vTBYFB7bLVas6ZPNDU1pQBQzpz+UJmamlKmxL9Vps78c/z/Z/45/nhqSpmaHFem3nbF/72Rbvyj/60YjUYFgGK8/TZlfHw8bbps+X1+YUwBoMzNzRVeYYToJBaLKQCU2OWoorz/54qyMBt/4bRPUSaH4/+fHI4/VpT46wWmi10YjH9WLJZXGZ1Op+LxeLTHfr9f4ThOe2y327Vjjt/vV8LhcNLriqIoJpNJiUajWn48z2uv5ZLearVqr3Ecl/X4FA6HFZPJpD3meV4rv8fjSfpsAEo4HNa2w+/3a+kSj4nqexaXfXGe0WhUYVk2qeyJdbeY0+lM2ZbE/BPzWuq1xbLVA8/zSecJNd9s78n2PSyul0z1p0r8jFJSz0dTU1NlyV8vurZUSJIESZK0iJZhGHAcB7fbnTG69/l84Hlee2yxWMDzfNJzS9l+x91ZXv3ThP+nv2IIn/0MmzdvXjJdrvkRUlN++3zy7dKlbKFQ0xVx+3Xi1bHVaoXNZks6xrS1tWmvqVfBiViWxcDAgHY1n4jn+azp29ratPzVsqS7UyIxP4PBAEEQtOeGhobSpo1Go1pLRSQS0fr6rVYrzGYzWJZFd3d32nKno16dq/XV29ubNf3ilgdBENDV1ZU2bbbX0slWD3a7Ha2treB5PqkLJtt78vkeCq0/kp7u3R9qU5S6s7Isi+Hh4bRpBUFI25yWuFPl4tQbfwnD9ofiAy6j78fvBlEHb37yE+ArfxI/wEk/B1rvA1rvxdz5Qfyf3/wjSOc+B8tuxz/99z/Aqt3/JSVdtvwWTv4PbHqImtFIjfvqgfIGFAYzcPF42Ypf6KDBYu8CUbtk1DKoF04mkynpjoxMJzW32422tjatu0VlMBgQjUYhiiL6+/ths9kQDAZTyr742Ln4uaW6KhiGSamDxAGPkiTB7XZrd61kem1xUKbKVg9dXV1aN3ni87nWXSayLOdUfyR3ugYVLMsiGo0mPScIQsZbntL9qA0GQ8YIdH5+HvPz89rj6elpAMDO3//zNKn/S8L/s499kKQz2ProfwXwX7OkSp/fsmXLGvbee1IfFpQV8TEPaovCxeNf3t10RY63ZHz1AFBEuoVL6a/Wc5F4nAgEAil3PCQeL7q7u9HT05P0flEU0dfXl5KvIAh5pV8s3YkqXX6Jx0B1W9SxA2oesiyjra0NgiBoY9FMJhNMJhNsNlvasqtjz9Q8rVZrSgtvtuOv0WiEJElaULA4ncPh0MYxLJbttVzqweVywWKxJI03Weo9uRAEAUNDQ1nrz2Aw5JwfqYKWikSiKCISiWQcqBSJRFK+4HTRs8rtduO5555Lef6N4x9iecsaGDeuxTsnL+Ax81YEjkmwPsDitdAYHty1EeEL01h9czNWr2zGyMQUHti1AYGjv8V//Nd78cKvjsO676s4dvIidmxah9mrC5i9srBkfiubgYfu2loV994Tkq9ly5Zhy5YtWLUq050Z/zHh/z/MklNu6bZs2YJly/K/QS0cDkMQBG3QndoiIAhC0sA+juNgMpng8Xi0wd9qejUIcTgc8Hg88Pl82kDNTOnVK10gfsKVJAmiKILnebAsm/aEqn6+y+XSBkFyHJeSV0dHhzbYFABsNpuWrxpcqBdYakvB4rKreRoMBq21g+f5lM/ORB0cuXhgfOJge4/Ho52gl3otl3pQsSyb0iqRa90t/h4W14skSWnrD4ifkywWS8Y6IamqakExs9mMvr6+jM1j6kjgcDic9FxPT09KiweQvqWivb0dv3rrQ5jv3Ia3P7mAb3Zshf8dCbYHWbw6PIaHvrIRIxemseZGQHF6YgoP7tqAV0Nn8chdt2L9rQaMjV/ChxNXcMeNgGLmygJ2bFy7ZH4ty4G7tt4GWZZ1X9iMkEJU+zTdLpcLRqOR+sXLxGazLXk3Sz1JvIuk1Op1QbGqaalwuVxZAwog/WCbdK0XqpaWFrS0tKQ8v33DmrwDCtsDLA4KHwAATpy+hHvv2JJXQLF6ZTM+Pvt5ETVEiP6WL19O63E0MIfDUZVzT5SD2gJeTRN31YKqmPzK5/MlDeDJNPBSvdc6kSzLeU87e/z0pbwDCv8xCY/ctwUAYNy4Nu+A4vSNLhRCSHmo3Rt+vx+iSFPilwPHcYhEIjW3jkch3G53TU9+phfdgwo1gFBvlRJFMemAIIpi0oxmVqs1KehQBynl45H72vMOKL5pvh0nTl8CAMxe/SLvgOLBXRvwmni2mKoihGTBcRxCoRCCwWDWFk9SnEbpWqKAojC6dn/Ispx2EEzil9nf3w9RFLXmNr/fD5fLpc1vkWngTzavnBjFdx415xVQvHPyIowb4/1es1cXcO+O9Xl3oVjvZ/HHRdQXIYRUA1r2nGSia1DBMAyWGieaLlosNoL81p5teQcUd2xah3/4+/+F9m0sTg0fwewXX8+7C+WloyeLKjchhBBSzXTv/tDD6++dyzugmL26gK89+gQGQx9g8335BxT+YxIeM92u96YTQgghZdOQQcXeO9bnHVAUMoZicX7HTl7Ue9MJIYSQsmnIoOLMxZmKBxTv3JgoixBCCKlXOQcV3//+98tZjopapUNAoeZHCCH1rBFuNyWZ5RxU9Pf34/nnn9fWz6hlq1v0CShmr1BQQWrbtWvXsLCwUJE/WiMnPUEQYDabtemvS8VsNifdvl8In8+nTVCozhuizoS8eKoAr9cLr9errSJbS7xer95FqFo5BxUdHR3o6elBf38/ent78ctf/rKc5Sor6WLlA4qZG2uDEFKrrl27hq3tW7FixYqK/N3efntVBRbVcuLjOC5pfYpCLd4ej8eT90SCiURRhMFg0GagtNls2jojRqMxaaEuQRDgdDrhdDrR2dmJ/fv3F/y5pZbL92y32+FyucpfmBqUc1DxxhtvYN26dejp6YHb7cbu3bvxox/9CL29vXjvvffKWMTS27NjfcUDih03FhsjpFZdv34d5yfO462fvIXRwVHEYjGMDo5i8IVBxGIxzEZn8cazb2A2OotYLIbBFwYLTjc3N4fxifGqWXxPkqSkpbxrXbrtWbyaa77cbnfS9N1+vz9pDiE1b1EU4Xa7teetVitEUYQkSQV/dqnk+j2r21INZa42BQ/U3L59O55++mm43W5MTk6it7cXzz//PEZHR0tYvPJ4/f1PKx5QvP1JfPVSQmrdHscefP7B5/jsg8+wde9WtO9pxwd/9wFWMavwtd6v4cSPT0CJKdj7/b0Fp/uXn/+L3puZpN5mVyz19siynLJGRmKrh9/v12Y+NplMSUvFqy0D1bDEeD710t3dXXR3UT0qevKr0dFRCIIAnuchyzKCwSBef/31UpStbL7Vua3iAcU3O7bipd/Q5Fek9sXmYjD3mBHqCwEANps3AwBCfSGYe8x4yPkQ3va+jYecDxWcbuGL/McfCYKQtKqkJEkIBoNJq2omLn0+NDQEj8ejva+7uxtOp1MbA8DzPDiOgyAIGB4e1sYKqMtlOxwOrQmc53mEQiGIoghBELTPV5cYz6VsmbZpcXnTCQQC2lIH4XBYSyfLMgYGBsCyrLYUvMViSdkeWZbR09MDh8OhTcMtSRJ4nkdnZycikQi6uroytmQMDAxoy48nUpcht1gsSdN7J7Zo9Pf3Z20lSVcH6ndkMpng9/shyzLMZrO2PHum92X7HtJ9zwaDIaX+1Lo1mUxwuVxwOp2Zvr7GpOTo3Xff1f4/NTWl9PX1KR0dHcqyZcsUo9GouFwuRZKkXLPTxdTUlAJAeeFXx5Xo7FXltdCYcmpcVkTpM+XIR+PK+clZZeDtEeXy/ILy8386qVyeX1AG3h5Rzk/OKkc+GldE6TPl1LisvBYaU6KzV5VfHDmlXI19ofziyKmc8puavawAUGRZ1rsqCMlbLBZTAChvPPuGMj87ryiKogz7hpXzw+cVRVGU88PnlWHfsKIoijI/O6+8+edvFpxO/axYLJZXGZ1Op2K1WrXHHMcpoVBIURRFCYfDislk0l7jeV7xeDyKoiiKx+PR/q8oimK1WpVgMJiUL8/zSZ9lt9sVu92uKIqi+P1+JRwOKxzHJaUxmUxKNBpdsmzpLFXexPIAUMLhsFYuv9+vpUvcDvU96bYnMc9oNKqwLJtU9sT6WczpdGbclmg0mlSmxa8lfk4+dcDzvFb/idu21PuyfQ+L6yVT/akSPyNf6vloamqq4DyqUc4tFW63G93d3eB5HoIgQFEU2O12+Hw+7N69uzwRT5k8cu+WirZQqPkdGhzRe9MJKdqDBx4suiViqXSFtFQAQFtbG9ra2rTHDMNoV548z8NgMCQtSDg0NFTQ56h5q59ltVq1K+dELMtiYGAAdrs9a9nSyae80WhUa6mIRCJaX7/VaoXZbAbLsuju7s55MTD16lxtPejt7c2aXpbljC0NDMPAZrPBYrFo5VS5XC4Eg8GM781WB3a7Ha2trVoreWL3S7b35fM9FFp/jSznoMLv9yMQCGD//v0YGBjAk08+Wc5yldWJkUsw37m9ogHFq8NjeHDXRr03nZCirVi1oiRdHNnSHf/p8bKU3WQyJfX1F3KSSDyBLh5HUCiLxaKd2FiW1bpFci2v2+1GW1ub1t2iMhgMiEajWjeEzWZDMBjMuD2ZnltqACfDMEl3TQiCAJvNhmg0qm0TEO9SUQMvr9cLl8uldS1k+pxsddDV1aXdWru4bor9rmVZzqn+SLKcB2pyHIdIJII33nijpgMKAGA3VLaFQs0vfKH25/ggRHxRTAos1DEWE+IExkPj2GzejE2mTQj1hQpOZ/pe6Zcu7+7uTrpyBaA9ZhgGk5OTSc9nurUwMY/EK9x0+YuiiK6uriXLFgwGEQqFEAqFtIAiW3mBLwc4qmMHnE5n0glaEAS43W7tRO7xeNKetNPlqd6RkSndYkajMelOCIPBkHRCF0URDMNoAUUgEIDJZNLKOzAwkLZsS9WBy+WCx+NJGeS51PtykUv9VcPg0mrTpChLLBN6w8svv1zzwcT09DTWrVuHw6GTuGnlmooGFCMXprHyJmDvrs2QZRnr1tGU3aS2LCwsYMWKFRh5awSff/A5TN8zITYXwzvPv4MHDzyIFatWQHxRxEbTRmw2bca4OI4L4oWC0nX+aSda17ciFouhubk5p/KJooienh4AQF9fHyRJ0rokPB6PNmAyGAxqgwrVAYKyLMPlcmlzKahN6jzPawP6PB6PNhhQzdtgMMDlcmkn0MWDA7u7u2EymXIqWzrpyitJUlJeLMtqgyxVPM+ju7sbkiSBYRgYDAZEIhFt3ojF26MO1DQYDNo2Z6qrdNRBnYkDSQOBgBZ0BYNBbTslSYLRaEx6P8MwWqtGLnWQWA6bzYa+vr6UsuVSd4u/BwBJ9aIOgF1cfwC0QbmFDtRUz0dTU1NYu7Z+5jDKOajI5L333gPLsli7di1GR0exbdu2EhWt9NQv8VdvfQjzndsqGlCsubkZLcuBu7beRkEFqUnXrl3D1q1bcf78+Yp83pYtWzA6Oorly5dX5PNIcWw225J3s9STxLtIClGvQUXB81S8++672LFjB3p6erRmpVAohDfffLNkhSuX7RvWVDygWL2yGSMTU3pvOiEFW758OcbGxhCLxSryRwFFbXE4HA0zb4PaTVSqMTX1pOCgYmBgACMjIxgaGoLa2PHkk09WzVS22Rw/faniAcXpiSk8sGuD3ptOSFGWL1+O5ubmivxRQFFb1HF3tXAOKJbb7a67CdFKpeCgoqOjI+3z2W6RqhaP3Nde8YDiwV0b8Jp4Vu9NJ4SQsmmUWy4poMis4KBiaGgIMzMzAICmpiYA8dk1h4eHS1OyMnrlxGjFA4pXQ2dhvZ+ayggh9a2Y9UNI7St4oOaZM2dgsVjQ2tqqPSfLMkKhUNUOOlEHxpwbv4BjZ2YrGlDYHmDx0tGT+OP9d+U8UPPgwYP44Q9/iGeffRbf/va3K1BDhBBCKqFeB2oWffdHX18fwuEwjEajdqtOtVK/xBd/PYRH995Z0YDCf0zCI/dswvrWNTkHFfW60xFCSKOr1+N7zjNqZrpddHEgUe23lQLA3jvWVzyg+Kb5dvzmw0/13nRCCCGkbHIeU6Gu/LaUfG8pUicfUadaXSqtOsubLMtZZ73L5szFmYoHFO+cvIgdm2huCkIIIfUr55YKddnYpUiShAMHDuSUpxoUiKKYtMBLJupyt4llSpwKNlerdAgo7ti0DtGZy3mXlRBCCKkVOQcV+/fvR2trqzblaSYDAwM5f7gaEPT39+f8nnA4DFmWU1YDzMfqlsoHFLNXFzB7pbCVFwkhhJBakHNQEQwGcebMGa37wWKx6DK4pBQzmEkXp/CNvXdWNKCYubIA48b6GYxDCCGELJZzUAEA27dvx/bt2wHEp+k+c+YMGIbB17/+dS3N008/XdoSLqKO2RgaGkJnZ6e2uEs68/PzmJ+f1x5PT8dXCd2zY33FA4odG9fiyIfn8trWubk57d96Gh1MCCGkPuUVVCTavXs3du/eDQA4fPgwpqamwLIs7rvvvlKVLYXJZEJHRwcYhoHVaoXRaATLshm7QtxuN5577rmU519//1N85xvmigYUb39yAY+ZtwKIBzfqhGGZzM3NYd++fQCAffv24ejRo1i1atWSdXTo0CGa04IQQoguip6nAgDefPNNDAwMwOfzwWaz5TVGAoivbtfZ2Zn3ErI2m01bqjeddC0V7e3tOD9xEW+emqpoQPHNjq146Tcn8V3L3XltY7527tyJkydPlvUzCCGEFKfh56lYbHR0FDzPg+d5NDU1oaurC6FQSGu9KAefz5c0tzzLslnvSGlpaUFLS0vK868MjeKpr99b0YDC/44E6wMsvgvg7NmzS05+pbZUqBOL5dNSQQghhOghr6BienoaPp8P//AP/wBRFGG1WuH3+7F///5ylU8jSRIcDgc4jtMGa8qyXNDAzUfu3VLxgML2IItDgyMAgLVr1y4Zma5duxZHjx7F5s2bcfToUWzatCmnbaOuD0IIIXrJefKrRx55BK2trejv78d/+A//AdevX8fAwEBKQNHb21uywomiqA3MZFkWHo8nKYgQBKGgzzsxcqniAcWrw2N4cNfGvMqptkzk0kJBCCGE6C2vW0qdTieMRiMURcGLL76ovaYoCpqamjAyMoK+vj643e6c8hQEAaIoQhAESJIEALBarVrg0N/fr7WIqK+5XC60tbUhHA6D5/mC5qtgN1Q+oHjoKxvxybnJvMtKCCGE1IqcB2o+88wz+Ju/+Zsl03V1deU1AVYlqQNjDodO4qaVayoaUIxcmMbKm4C9uzbTgmKEENLg6vX4nnP3R3d3d07pStn9US5zFW6hSMyPEEIIqVc5BxW53tVRzrs/SmX7hjW6BBQjE1N6bzohhBBSNjkFFVNTU3jmmWfw3nvvlbk4lXH89KWKBxSnJ6bwwK4Nem86IYQQUjY5BRXr1q1Db28vhoaG0NXVheeffx6jo6NlLlr5PHJfe8UDigd3bcBr4lm9N50QQggpm5y7P9atW4eenh4MDAzgySefxM9+9jN0d3fjxRdf1NbUqBWvnBiteEDxaugsrPfnN6fGoUOHsHPnTprQihBCSE0oeprud999V5tV02Kx4IknnihV2UpOHW17bvwCjp2ZrWhAYXuAxUtHT+KP99+Fzz77LKe7PwqxbNkyLF++vCx5E0IIKY16vfujJGt/qA4fPgy/34+mpibYbLak1UurgfolvvjrITy6986KBhT+YxIeuWcT1reuKes23nzzzZiZmaHAghBCqli9BhU5d3/kYv/+/fjZz36Gn/70pwiHw9r4i2qz9471FQ8ovmm+HcdOXgQQn1588IVBjA6OIhaLYXRwFIMvDCIWi2E2Oos3nn0Ds9FZxGKxvNKNvDWCK1eu4Pr16zrXMCGEkEZU0paKaqdGhr9660Ns2byhogHFOycvYtutt+CurbcheikK5jYGob4QNpk2YbN5M8ZD45gQJ2DuMSM2F8Pb3rfxkPMhrFi1Iud0x396HPf/x/sRi8XQ3ExzYhBCSLWiloo0Egdo/vKXv8Qvf/nLogtUCasq3EKRmB8AHH3+KObkOdzzR/fg3IlzGDs+htvuuQ233nMrjv/0OJpWNGHPf96DI+4jeaX73X//uzrXLCGEkEZWcEtFV1cX9uzZg56eHnR1dYFhGHAch6mpKRw4cKDU5SwJNTI8/qGEz+eXVzygiE5fxv77tpZ1G5cta8Lc3GWsXLmyrJ9DCCGkcNRSsUh3dzcOHDgASZIgCAL6+/vR09NTtrsaSkm6WPkWipkrCzBujO84c1OXEBt+FrHLUcRiMcR++wJiF+JjJWIXBuOPY7H463mkm5u6hOvXFRpTQQghRBc5r1K6WGtrK4D4SqOJy5+3tbUVX6oy27NjfcUDih0b1+LIh+cAAM2n/xbN9/YCN60CRvqADXsAgxmIhICZD4A7vw98MQec/jGQTzplhc41SwghpJEVHFSEQiHIsgye5+H1egEAL7/8Ms6cOVOywpXL6+9/iu98w1zRgOLtTy7gMfONro+vHvgyUDCYvgwUIiKwoyceKPzWC3zVmV+6j3+qb8USQghpaAV3fzz99NOYnJwEz/N44okncPjwYUiSVBPdH9/q3FbxgOKbHVsROCbFC1COgEJNRwghhOikIW8pfeFXx/HU1++taEDhf0fC453tWLf6Fsx98BM0r++MBwER8Uag8L0bgcLzCS0ZL94IKHJLt7Dmd7Fq1SrMzc3hlltu0bu6CSGEZFCvAzULDipefPFFfO9739Mev/zyy/EMm5qqdqpu9UsMj53HJ59/UdGAwvYgi18dl/CDf/t/YHx8omzbuGzZMsiyjDVryjtzJyGEkMLVa1BR8JgKWZaTHj/55JMAUJUzaC52YuQSzHdur2hA8erwGPbd9Tv4X/94AqtalmP1ymaM3FgO/TUxvthYYFDCY6b4zJs7buQ3e+OukXdOxsdkBI5JsD7A4rXQGB7ctRHhC9NYfaN8n5ybxJO/9xW6+4MQQogu8goqfvSjH0GS4uMChoeHEQ6Hk16XJAkMw5SscOXCbqhsC0VifszqlVp+D9+9Ba+GzuKpfbvgPybh8b1GvHPyIu68/VbMXl3A1S+Ar7S34e1PLuDx+3fA/46Epx7ehVeHx/C1u9sxcmEarWtv0fLbd9fv6F21hBBCGlheQcXTTz+NqakpuFwutLa2wmRKHhhotVqTbi+tVrPzC7ipqfIBRbnzO3Q8vPTGE0IIIWWSd/fHunXr8LOf/Qwvv/yy1uVRa+auLMC8rb4CildD8S6UP9a7cgkhhDSsgm8pzRRQ9Pb25pWPJElwuVzw+Xw5pfd6vQgEAtq/hdi+YY3uAUA58gsMSgXVByGEEFIKBQ/UfPnll+FyuRCNRrXnFEXB1NQU3G53TnkIggBZliGKYk4zcTocDthsNnAcBwCw2WxgWTalG2Ypx09fwh/uv6+uAgr/sfggT0IIIUQvBbdUBINB+P1+SJKU9NfT05NzHhzHwWq15jy40+fzaQEFAFgsFvA8n2/R8ch97boHAOXI79jJi3nXxWIHDx7Erl27cPDgwaLzIoQQ0lgKDipsNht2796NdevWaX8Mw8DlcpWyfBpBENIGH4Ig5J3XKydGdQ8AypHfjk3Fz2b6+OOP49SpU3j88ceLzosQQkhjKTioaGpqwvT0dMrzhw8fLqpAmSyeFwMADAYDIpFIxvfMz89jeno66Q8AvrVnm+4BQLnyI4QQQvRS8JiKgYEBOBwOMAwDg8EAID6mIhQKJc20WSqRSET7HBXDMGmDDZXb7cZzzz2X8vzr753Do3vv1D0AKHV+s1coqCCEEKKfgoOK4eFhOJ3OlBN9IWMccrH4c4B460W28Ri9vb34wQ9+oD2enp5Ge3s79t6xXvcAoBz5GTfWz1SvhBBCak/BQYXH40k70RXLskUVKBOGYVK6OtK1XiRqaWlBS0tLyvNnLs5gy+YNdRVQ7Ni4Fkc+PFd0Pc/NzWn/1tN89IQQQsqv4KBCDSjee+89sCyLtWvXYnR0FLt37y5Z4RJxHJfS1SHLctLdILlaVQUBQDnye8y8FUC8RaapqSnvepmbm8O+ffsAAPv27cPRo0exatWqvPM5dOgQvv3tb+f9PkIIIbWt4KDi3Xffhc1mQ2trK3p7e/HEE08gFApBkiR8/etfL0nhRFGEJEmwWq0A4tOAC4KgBRLBYBAejyfvfFe36B8AlCO/l35zEgBw++3Fz1cRDoexefPmgt67c+dOCioIIaQBFTVQc2RkBMCXy54/+eST+OUvf5lzHoIgQBRFCIKgLVRmtVq1LpT+/n6IoqgFFX6/Hy6XC5IkQZZlOByOvCe+AgDp4hS+sffOugoo/O/EVy/9LoCzZ89i3br8by9VWyrC4TCMRmNRLRW5OnjwIH74wx/i2WefpUCEEEJqXJOiKEohb0xc+yPx/y+++GJZ7v4oBXX9+vDYebwzOldXAYXtQRaHBkfwh1+7E7IsFxRUAMDExAQ2b96M8fFxbNq0qcTfQCr1O5mamqIxHISQhlGvx76C56kYGhrCzMwMAGj996OjoxgeHi5Nycro9fc/1T0AKEd+D+7aWHTdqC0ThbRQEEIIaWwFd384HA7s3r0bra2tAOJzQsiyjFAoVLLClcu3OrfpHgCUI79Pzk3qXbWEEEIaWMFBxfbt2zEyMoK+vj6tDz6fdT/09MrQKJ76+r11FVCMXJjG6pub9a5aQgghDazgoOL555/HgQMHaiaQSPTIvVt0DwDKkV/Lcr1rNn80LwYhhNSPgsdU/PVf/3Ved3pUkxMjl3QPAMqR38jEVNF1c+jQIezcuTOvOzgWO3jwYMqaK+n+JiYmkubFmJiYyOl9tIIqIYRUp4Lv/vjRj34Eu92OgYEBNDU1geM4bNu2rcTFKy11tO3xDyU037KmrgKK0xNT6GQNWN+6Bp999lnBd3+Uwl133YXTp0+XLf+dO3fi5MmTZcufEELKrV7v/ii4++Ppp58GAK37480334TL5YLFYqnaW0pVs/MLuKmpvgKKB3dtwKHjYQDAbbfdpmv9Njc3IxKJYPny7P0xhc6LUUwrCiGEkPIpuPvjvffeAxC/jfSZZ56B1WpFOBzOuhZHtZirggCgHPlZ749PGib8PwJOv3Uac3NzOP3Wabz1k7cwNzeH6KUofv3MrxG9FMXc3Bze+slbJU/38T9/jIWFBaxevRpr167N+rdp0yYcPXoUAHD06FFs2rRpyfesXbuWJskihJAqVXD3x44dO9Da2gpJkmC322G327F9+/ZSl6+k1Oamfzk9ho8vLdRVQGF7gMVLR0/ij/ffpXc1Y9myZZibm8PKlSuXTFuvTYCEEJJNvR77Cm6pAOJLi09OTsLtdld9QJHo+OlLugcA5cjvMVN8zY+5c28hFoshdmEQsd++EP//5Shiw8/G/43F4s9fGCx5urm5OVy/fh3Xr1/X+VsmhBBSaUUtff7EE0+UsiwV88h97boHAOXI7zcffgoAaN6wB80zHwAzHwB3fh/4Yg44/WPg3l7gplXASB+wYQ9gMAORUGnTXTyu87dLCCFELzkHFdPT05AkCZIkgWVZba2PqakpDAwMYGoqfjsjy7JVH2y8cmIU33nUXFcBxTsnL2LHpvgdHwsXT8QDgB3fA67IwG+fB756AFBWAB//FDCYgDX3xAOAiFjSdAsXh/T8agkhhOgo5zEVy5cvh9PpRG9vb8b+n0AggO7ubly7dq2khSwVtQ/r3PgFHDszW1cBxR2b1mFq7iq+uW83Ll6Y0LWely1bBlmWsWbNmiXT0iqlhJBGVK9jKnIOKn7/938fb7zxxpLpurq6MDAwUHTBykH9El/89RAe3XtnXQUUan7bb1uFtz4ex2PmrQgciy+H/loovthY+MZU3upEWQ/s2oDXxPhdI4HB+JiMYzdaPGavLmD2ygKMG9finZMXcs7vVyckfO+Re4taKZUQQupdvQYVOQ/UNJlM2v9ffvlldHV1obOzE88//zxGR0e111iWLWkBy2HvHeurIgAoR36Dpz/D4/fvwKGhc3jq4V14/f1xfO3udoxNXkHr2lvQuuYWjH5+GQ/fvQWvfzCBp/btwqHhc3h8rxFDUgR33n4r5q8BV78AvtLehhPhybzy6/69nXp/vYQQQnSSc1DR1tam/f/JJ5+Ez+eD2WzGgQMHkmbSTExXrc5cnKmKAKAe8wsMSnp/vYQQQnSSc1DR1NSU9JhhGOzYsWPJdNVoVY2esGshP/W2VkIIIY0n57s/gsEgWltbkTgEIxgMgmGYpHT9/f04cOBAyQpYDqtbavOEXQv5qbe1EkIIaTx5BRXpgoihoS9vIZRluSZaKqSLU/jG3jtr7oRdC/mpt7USQghpPDkHFXa7HT/72c+WTPfMM88UVaBK2LNjfU2esGshv+jMZb2/XkIIITrJeUyFw+HIKV13d3fBhamU19//tCZP2LWQ3+yVBb2/XkIIITopeEGxUvJ6vWBZVput02q1ZkwrSRJkWYbJZIIsyxgeHkZHR0dKt0w66n3B5ycu4s1TUzV3wq6F/La23YxtG1tpngpCCMmi4eepKBeHwwGTyQSr1Qqn04n+/n6IopgxfSAQgNlsRlNTE1pbWyGKYk4BRaJXhkZr8oRdC/m9c/JCkXsEIYSQWqV7UOHz+cBxnPbYYrGA5/ms7wmHwwiFQlAUBU6nM+/PfOTeLTV5wq6F/B4zb837+yCEEFIfCl6ltBQEQUjbyiAIQtb3FTtr54mRSzDfub3mTti1kN9LvzlZ1HdDCCGkdukaVMiynPKcwWBAJBLJ+r5AIAAgfjtrZ2dnxjEY8/PzmJ+f1x5PT08DANgNtXnCroX8rA+w+G6B+wMhhJDapmtQEYlEYDAYkp5jGCZtsKEymUzawEyr1Qqj0QiWZZPWJlG53W4899xzKc/Pzi/gpqbaO2HXQn6HBkeK3i8IIYTUJl3HVCwOKIB460W2gZccxyW9bjKZMo7B6O3txdTUlPZ37tw5AMBcjZ6wayG/B3dtBAAsLCyU7e/atWuF73SEEELKRteWCoZhUro60rVeJPL5fLDb7dpjlmUzjsFoaWlBS0tLyvPbN6ypyRN2LeT3yblJAMBtt91WyC6Rk5tvvhkzMzNYvnx52T6DEEJI/nRtqeA4LqWrQ5blpLtBEkmSBIfDAUmSktLnO3Dz+OlLNXnCroX8Vt/cnPd+kK/5+atYWKBJtgghpNrofkup1WpNamkIBoNJs3eKoqgNzGRZFh6PJymIEAQBvb29eX3mI/e11+QJu1byA+LB3tzUJcwNPhP/d24Oc+//BHPn3or//9xb8cdzc3mlk99y4vp1BdevXy9mtyOEEFIGVTGjpsvlgtFo1FodEu/mcLlcEEURwWAQQLy1gud5tLW1IRwOw2azZWzZWEydwey/HRrEdx411+QJu9rz++TTCL7/bx7G+fPlW6102bJlkGUZa9asKdtnEEJIOdXrjJpVEVRUivolnhu/gGNnZmvuhF0r+f3qxBk8sXcbAoMSHjPdjmM3Vi9V1wYx3ph58zHzVgSOxW9DfS0UH+QZvtGFsnplM0YmpvDArg14TTwL6/0sAoMSfv93N+F31htoGnBCSE2r16BC9+4PPbz+3rmaPWHXQn7dv3cHDg2fw+N7jRiSIrjz9lsxfw24+gXwlfY2nAhP4vH7d+DQ0Dk89fAuvP7+OL52dzvGJq+gde0taF1zC0Y/v4yH796C1z+YwFP7dmn5DUvZ5zAhhBCin4YMKvbesb5mT9iNnt+OTY3VOnHw4EHs2rULBw8e1LsohBCypIYMKs5cnKmLE2yj5tdIHn/8cZw6dQqPP/643kUhhJAlNWRQsaqOTrCNlt/slcYKKubm5pL+JYSQaqbr5Fd6Wd1SHyfYRszPuLH6BzQdPHiwJC0Lc3Nz2LdvHwBg3759OHr0KFatWlV0vgBw6NAhfPvb3y5JXoQQomrIuz9eOvwuvrH3zpo/wTZifkc+PIc//NqdVX33x65du3Dq1Cm9i5HVzp07cfIkrShLiF7q9e6Phmyp2LNjfV2cYBsxv8fMWwF8ubZINert7cUTTzxRdD5qS0U4HIbRaCx5SwUhhJRaQ7ZUvPCr4/jON8w1f4JtxPxe+s1JfNdyt967UlYrV67E7OxsSdYmmZiYwObNmzE+Po5NmzaVoHSEkGpQry0VDTlQ81ud2+riBNuI+VkfyG+dFz3Mz8+XrBVFbZkoVQsFIYSUU0MGFa8MjdbFCbYR8/vf4jls3lzdV+xNTU0lCyoOHTqEnTt3UncFIaQmNGT3R3jsPD75/IuaP8E2an4nz0exqmV5xqm8Sz01eD757WHbsKN9fVUPJCWE6I+6P+rIiZFLdXOCbcT8mNUrs07lnc/U4Pz/OIg//jdfx5F/fKUk+Y1NXtF79yaEEN00ZFDBbqifEyzlV1x+jz72Bzh7Jozt9+0rSX6rb27We/cmhBDdNOQtpbPzC7ipqfZPiJRf8flh4QsAwJ47SnObcUvxN3wQQkjNasiWirk6OSFSfsXn99GZCwCAXw2eLkl+IxNTOu/dhBCin4YMKrZvWFMXJ8RGzc/1w/+KR+66FQeFD/DwHQyE0Ag2rW7Chc8iuPBZBBtuAYKh03h4ZysOBj/AI3ffioEjH+Kezbfg/ZHzaPriKrBwBcc/OIU///6/BQD8+MC/Q9+rx4vK7/3Tn+LuTTcD+HJyrmr9u3btmp4/QVJmtLot0UtD3v3x4q+H8If776uLE2wj5veX33sMp0+f1nt3qmmlnKCLVB+aNK361evdHw05puKR+9rr5gTbiPkdtfZA+JM/wonTl2DcuBazV7/A7NUFsOvXYPD0RXxj9+04dHwUj+/dhn989yzuv2MDpEszWL2yGatX3oTwhWnsuWM9fjV4Gj8+8O8gSRK2b2fxlz/9B9y1fWPB+b3+3qf4A3M7WJbFlbkZvXfzrGKxGK5evUqTaumkVIvOpVPOhegS0aJ0JJ2GbKn4b4cG8Z1HzXVxgqX8isuv79Xj+JMnHsIv/vEE9t6zsyTle/S+38HbH0/oMk9GLvn9/u9uwu+sN9BcGjqqhUXnlkKL0hWHWirqyLf2bKuLEyLlV3x+//r+O/AnwI0WitKV787bb8Xs1QVtXou3P7mAx+/fAf87Ep56eBdeHR7D1+5ux8iFabSuvUXL7+G7t+DV0Fk8tW8X/MckPL7XWPL8fvPhp3r/BBves88+W/aWinIsRJeIZnklaSkNZGpqSgGgvPjrIeX85Kxy5KNxRZQ+U06Ny8proTElOntV+cWRU8rV2BfKL46cUqKzV5XXQmPKqXFZEaXPlCMfjSvnJ2eVgbdHlMvzC8rP/+mkcnl+QRl4e4Tyq9H8fvDc/6tsY3cof/n8f6vK8pUjv4/GPlMAKLIs6/2TJGXi8/mU22+/XfH5fHoXhWSgno+mpqb0LkpJVUX3h9frBcuykCQJLMvCarWWNL1KbW76l9NjiMSaa/oKm/Kj/ArNLzpzGXt3bcbY2FjNdn+sWLECN998s97FIKRg1P1RJg6HAzabDRzHAQBsNhtYloXJZCpJ+nTOXJzBls0b6uIEQflRfvnmNzd/DStaWrB169bif8A6WbZsGWZnZymwIKTK6N5S0dTUhMQi+Hw+hEIh8DxfkvSJ1MjwcOgk2jdtqIsTBOVH+RWS39GPzuNRU7vug0YLyW9lM/DQXVsxPj5esy0tN910E1asWKF3MYiOqKWiDARBAMMwaZ8vRfpMVrfU1wmC8qP88s3vX+9lyzZo9On/+8f43y/50P3dP4Ht3/5hyQehqlOhb968Oa/ffTVZtmwZLly4UNOBRTV3Qc3NzeGjjz7CXXfdRbdNV5iuQYUsyynPGQwGRCKRkqSfn5/H/Py89nh6ehoAcOp8BI/s2YVDx8Ow3s/ipaMn8Zjpdvzmw0+x40afs3rFdOTDc3jMvBUv/eYkrA+wODQ4ggd3bcQn5yax+sZaDx+f/RwP7NpA+VF+lN/gCL5t+wP8979y4qGHHy5L+U6dj2D9+g24dOli/gedKnH9+nWsX79e72IULRQKoaWlRe9iJLl8+TL+1b/6V5icnERbWxt+/etf45ZbbtG7WClmZ2f1LkJ56DlKlOd5hWXZpOeCwaCSqVj5pv+Lv/gLBQD90R/90R/90V9V/tXb3R+6tlQYDIaU52RZTtvFUUj63t5e/OAHP9AeT09Po729HWfPnq2rPixC8tXR0YGRkRG9i1Gw5uZmLCws6F2Mgu3YsQPDw8N6F6MoP//5z7F//369i5Hi8uXLsNlsGBsbw9atW+H3+6u2peL+++/Xuxglp2tQwTBMStdFJBJJGzwUkr6lpSVt09y6desoqCAN7c/+7M/KMvlSpSZeevrpp/GjH/2o5PlWcuKoWh1kqvpP/+k/6V2EjJ599ln81V/9FZ599ll0dnbqXZy01O74elN1d394vV6Ew+Gc7/5YKn2ieh1tS0g1qfXFrGq9/KQ21Ov5SPelz61Wa9LdG8FgEA6HQ3ssiiICgUDO6Qkh+goGg9i5cyeCwaDeRSlIrZefED3p3lIBAC6XC0ajEbIsp8yQ6XK5IIpi0g88W/ps6jUyJIQQUlvq9XxUFUFFpdTrl0gIIaS21Ov5SPfuD0IIIYTUBwoqCCGEEFISFFQQQgghpCQoqCCEEEJISVBQQQghhJCSoKCCEEIIISWh6zTdlabePVuv06MSQgipDep5qN5mdWiooGJychIA0N7ernNJCCGEEGBmZqbm14FJ1FBBhbrw2NmzZ+vqS8yVukrruXPn6mqylXxQHVAdNPr2A1QH1bD9iqJgZmYGmzdv1uXzy6Whgoply+JDSBp9ldK1a9c29PYDVAcA1UGjbz9AdaD39tfjxS0N1CSEEEJISVBQQQghhJCSaKigoqWlBX/xF3+BlpYWvYuii0bffoDqAKA6aPTtB6gOGn37y6mhViklhBBCSPk0VEsFIYQQQsqHggpCCCGElAQFFYQQQggpibqbp8Lr9YJlWUiSBJZlYbVaM6aVZRk+nw8AEAwG4XA4sqavFfnUQSJJksDzPDweT5lLWF75br+63Z2dnQAAjuPAMEwFSlo++daB1+sFwzCQZTmvfaYaqd+n0WiE3W5fMn2hv5dqlk8d1OtxMN/9YPH7av04qBuljtjtdiUYDGqPrVarEgqFsqZXRaNRBUDW9LUg3zpIxHFcUp3Uony3PxwOKyaTKSm9x+MpaxnLLd86WLy9Ho+nZn8HwWBQ8fv9CsdxOX2PxfxeqlUhdaCql+NgvnWQqB6Og3qqq+4Pn88HjuO0xxaLBTzPp00rSRIkSYIsywAAhmHAcRzcbnclilo2+dRBIkEQwLJsOYtWEfluv8vlgsPh0B739vbmdVVTjfKtg6GhoaTHHMdBEISyla+cOI6D1WrNuaWp0N9LNcunDur1OJjvfqCql+OgnuomqBAEIe0OlO3gODw8jEgkoj1Wm0BrVSF1oJIkCUajsQylqpxCtj8QCCSdVEwmU013fRRSB6Ioas3fQPx3YTKZylG8qlLM76We1NtxsBj1cBzUW90EFWqknchgMCT9WBKxLItoNJoUlQqCgI6OjnIVsezyrQOVz+er+atzIP/tF0URQPxAEggE4PP5kk6utaiQfUBtrbHZbBBFEbIsJwVa9arQ30s9qcfjYKHq5Tiot7oZqBmJRLRVSFXqwLNciKKISCRS04NzCqkDdWBePch3+9WrMVmWtYFpFosFBoOhZgeqFbIP2O12hEIh+Hw+CIKAw4cPl7mU1aHYY0Y9qofjYCHq6Tiot7ppqVh8cADiO0quTdk9PT04fPhwTTd9F1IHAwMDdXNVWug+kNjUb7FYaro/uZA68Pl8sFgsCIfD6OjogNlsbogugGKPGfWoHo6Dhain46De6iaoYBgmpdky3ZVIOi6XC319fTXfj5xvHQiCUFc/pHy3X70yWXyFUsv9yfnWgSRJCAaDsFqtYFkWwWAQHo8HLperEsXVVTHHjHpUL8fBfNXbcVBvddP9wXFcSrNlLn3DPp8P3d3d2g+plnewQuogEAho/+/v7wcQv2/fbrfX3NVKvtuvfufq/AQAMDk5WdPNoPnWgSiK2vwcKqfTqe0L9azQY0Y9qqfjYCHq6Tiot7ppqQAAq9Wa1GyrTuSiEkUxaedR0zIMA0mSIIqiNnivVuVTBxzHwel0an8cx4FlWTidzpr9IeW7DzidzqT0oiiit7e3MoUtk3z3gWAwmPR+SZLQ3d1dmcJW2OLvf6m6qkeNcBxcSr0fB/VUd6uUulwuGI3GtDMDulwuiKKIYDAIWZbR2tqa8n6PxwOn01nJIpdcrnWQyOv1avfnOxyOmq6DfLdfbepva2sDwzB1MQI8nzoQRRH9/f1Jt9LVah0IggBRFOF2u8GyLLq7u7WuHSDz95+prmpRPnVQr8fBQvYDoL6Og3qpu6CCEEIIIfqoq+4PQgghhOiHggpCCCGElAQFFYQQQggpCQoqCCGEEFISFFQQQgghpCQoqCCEEEJISdTNjJqE1KrEeSLUKaKHhoaSFnXKJY16bz7Lstr00+p8E5Ikaffmq/NyyLIMnucRDAZrehZRQkj1oHkqCNGRIAjweDxJk/BIkqQt8JVrmkAggGAwqE3co77P7/drzwmCAJ7n4ff7tTTqqpTVOiVzoy/wRUitoe4PQsrA5/PBbDajtbUVLpcLXq8XXq9Xm71RbS2w2WxJgQCAlFkdc0nT09OTslw1x3EYHh7OOOWyIAgwmUxVu4CWLMtpV4yVJAkOh0OrU5/PB0mS4PV6c1q2PBAIwGKxoKmpCTabLaV+LBYLWltb6366bkLKgVoqCCkTm80Gg8GQEhCIoghBEGC1WmE0GpHtJyhJUk5pzGYzotFoymsOhwNGo1Fb48TlcsHhcCAUCsFiseQ9JbUoilqQw/M8PB4PWJaF1+sFy7KQJAkmkwkcx2ndMQC06c99Pp8WxEQikazTgft8PnR0dCStmunz+eD3++H3+5NaMNSALRqN5tSyoU5P7ff7U+pAlmX4fD6aopmQAtCYCkLKRBAE9PX1pTxvMpl0W16dZVnY7XYIgpDTVf1iJpNJG3/R19cHhmEQCAQwOTmpnYQtFgtYloXL5UIoFAIQD7BYlkU4HNYCCa/Xi0AgkDGwCQaDSUGHKIpwOBxpAwen05kSvGXDMAw4jgPP8ymfPzAwULNrnxCiNwoqCCkDSZIgy3LSVXbictLqyVldGXLxQEn1ZJtrGiD9+IPh4eG0zfgcx2mBjc/n01oR1DEai/X29mp5MwyjlQuIDxiVZVlb7dLj8SAQCCSN0/D7/VrXj4plWQSDwbRBhSRJKUuyu1wuWK3WjC0R+ba6OBwO2Gy2lHoLh8M0joOQAlFQQUgZCIKgnXwBJC01DUB7Xj3ZJg6eXNyCkE8aj8ejfTaAlO6DxWWQZVnLK5+r88RxGBaLBX6/Xwsi1DtQEgMUWZbR2dmJoaEh7Tl1sGk6PM+nBEPqgNVMEgMfNX+e57XP7e7uTqoLNQhJbJlIF8wQQnJHQQUhZRAKhbSxBpOTk/D5fDhz5kxKOo7jYDAYtKt49WSdeNWdbxqz2Yz+/n6wLAue5yHLMiKRCHiehyiK8Pl8AL68pTTbiXoxURS1PNTuDrXVQx0vwTAMrFarNnhSDaDU5xIDrEytC4tbZtTAJ1sLwuLXLBYLQqGQVh6j0ZjSEmO328HzvBZUBAIBGktBSDEUQkjJsSyr8DyvPfZ4PBX9/HA4rH2+3++v6GcXKxQKJdWdCkBKPUajUcXj8Sg8zys8zysej0eJRqMKz/OKyWRKSmsymZRQKJTyWQCUcDisKIqiOJ3OEm8NIY2FbiklpMRkWYYkSejo6NCeS+xaUFsKykltpRAEQZsIq1bwPI+urq6U5zmOS+o+AeKtE2rLgsPhAMdxYBgmaf4O9a+3tzdlXIo6tkWtq+7u7jJtFSGNgbo/CCkxdcBiYv+92jQvimJSsFFOHR0d2u2jtSZdN4fH44HZbE47IFWtUzVoMBqN2m27S7FarVqgl09XECEkFbVUEFJiwWAw7QyVsizD5XJlHDhZajzP19ydDOrEVOmYTCbwPI/9+/enDFRVAzmV3W7XWowS8053K6/D4YAsy2hrayt+AwhpcNRSQUiJqHcbDAwMaIM0AWByclIboJh4JexyubTBkkD85ObxeGoqCCi1xVONL2a328FxXNLtqUNDQ7BYLCl3r4RCIW3gqjqANN0aJyzLguO4vG9JJYSkohk1CdGJ1+vVZpqUZRn79++vya6KUlFbcvKZxIoQUl2o+4MQnSR2k7hcrrSzbzaSgYEBWm+DkBpHQQUhOlHnYvB6vbDZbBUba1GtgsFgw9cBIbWOxlQQogNJksAwjDZFdiOPowC+nHGTEFLbaEwFIYQQQkqCuj8IIYQQUhIUVBBCCCGkJCioIIQQQkhJUFBBCCGEkJKgoIIQQgghJUFBBSGEEEJKgoIKQgghhJQEBRWEEEIIKQkKKgghhBBSEv8/XH4YM9amKZcAAAAASUVORK5CYII=", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pt2.batch_plot_signalMB(df_0, Nevents=minimize(lambda x: 1/get_pval_nevents(df_0, x), x0=(500)).x[0], PATH='plots/', title=rf'TMM $\\vert$ $m_5 = 470$ MeV, $\\Delta_{{54}} = {delta_TMM}$ $\\vert$ $N_5 \\to N_4 \\gamma$', prefix='BP0_split', bkg_subtract=True)\n", - "pt2.batch_plot_signalMB(df_1, Nevents=minimize(lambda x: 1/get_pval_nevents(df_1, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Vector $\\vert$ $m_5 = 150$ MeV, $\\Delta_{54} = 1$, $m_{Z^\\prime} = 30$ MeV $\\vert$ $N\\to \\nu (Z^\\prime \\to e^+e^-)$', prefix='BP1', bkg_subtract=True)\n", - "pt2.batch_plot_signalMB(df_2, Nevents=minimize(lambda x: 1/get_pval_nevents(df_2, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Vector $\\vert$ $m_5 = 150$ MeV, $\\Delta_{54} = 1$, $m_{Z^\\prime} = 1.25$ GeV $\\vert$ $N\\to \\nu e^+e^-$', prefix='BP2', bkg_subtract=True)\n", - "pt2.batch_plot_signalMB(df_3, Nevents=minimize(lambda x: 1/get_pval_nevents(df_3, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Scalar $\\vert$ $m_5 = 200$ MeV, $\\Delta_{54} = 1$, $m_{h^\\prime} = 1$ GeV $\\vert$ $N\\to \\nu e^+e^-$', prefix='BP3', bkg_subtract=True)\n", - "pt2.batch_plot_signalMB(df_4, Nevents=minimize(lambda x: 1/get_pval_nevents(df_4, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Scalar $\\vert$ $m_5 = 200$ MeV, $\\Delta_{54} = 1$, $m_{h^\\prime} = 30$ MeV $\\vert$ $N\\to \\nu (h^\\prime \\to e^+e^-)$', prefix='BP4', bkg_subtract=True)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "darknews", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Example_4_MB_analysis.ipynb b/examples/FastBNB_example_1_MB_analysis.ipynb similarity index 99% rename from examples/Example_4_MB_analysis.ipynb rename to examples/FastBNB_example_1_MB_analysis.ipynb index 529f3eb..75db62b 100644 --- a/examples/Example_4_MB_analysis.ipynb +++ b/examples/FastBNB_example_1_MB_analysis.ipynb @@ -6,7 +6,7 @@ "id": "chinese-isaac", "metadata": {}, "source": [ - "# Example 4\n", + "# Example 1 (FastBNB)\n", "\n", "This notebook shows predictions for nueCCQE-like events at MiniBooNE using the \"fastbnb\" module -- installed separately from:\n", "\n", @@ -17,10 +17,19 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "id": "compact-danger", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "%load_ext autoreload\n", "%autoreload 2" @@ -28,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 7, "id": "professional-latitude", "metadata": {}, "outputs": [], @@ -50,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "id": "a54bb01c", "metadata": {}, "outputs": [], @@ -70,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, "id": "5becc5d3", "metadata": {}, "outputs": [], @@ -80,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "id": "fc5e1894", "metadata": {}, "outputs": [ diff --git a/examples/FastBNB_example_2_MB_spectra.ipynb b/examples/FastBNB_example_2_MB_spectra.ipynb new file mode 100644 index 0000000..1715260 --- /dev/null +++ b/examples/FastBNB_example_2_MB_spectra.ipynb @@ -0,0 +1,386 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example 2 (FastBNB)\n", + "\n", + "This notebook shows predictions for nueCCQE-like events at MiniBooNE using the \"fastbnb\" module -- installed separately from:\n", + "\n", + "[github.com/mhostert/MiniBooNE-DarkNews](https://github.com/mhostert/MiniBooNE-DarkNews)\n", + "\n", + "In this second MiniBooNE example, we explore some good fits to the MiniBooNE spectra. For more infor, see [this paper](https://arxiv.org/abs/2308.02543).\n", + "\n", + "The idea is to choose some mediator and HNL masses that make sense and then minimize the MiniBooNE EnueCCQE chi2 by varying the upscattering couplings.\n", + "\n", + "We do this for a TMM, vector, and scalar mediator models." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy\n", + "from scipy.optimize import minimize\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "import DarkNews as dn\n", + "from DarkNews import const\n", + "\n", + "import fastbnb as fb\n", + "from fastbnb import plot_tools as pt2\n", + "from fastbnb import decayer, analysis\n", + "try:\n", + " from importlib.resources import files\n", + "except ImportError:\n", + " from importlib_resources import files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Some useful functions to generate and interpret our MiniBooNE simulation" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "common_kwargs = {'loglevel': 'ERROR', 'HNLtype': 'dirac', 'neval': 1e4, 'include_nelastic': True, 'noHC': False, 'noHF': False, 'nu_flavors': ['nu_mu']}\n", + "\n", + "def get_event_rate(kwargs, common_kwargs=common_kwargs, include_dirt=True):\n", + " df_det = dn.GenLauncher(experiment=\"miniboone_fhc\", **common_kwargs, **kwargs).run()\n", + " \n", + " if include_dirt:\n", + " df_dirt = dn.GenLauncher(experiment=\"miniboone_fhc_dirt\", **common_kwargs, **kwargs).run()\n", + " df_nu = pd.concat([df_det, df_dirt])\n", + " else:\n", + " df_nu = df_det\n", + "\n", + " if 'm5' in kwargs.keys():\n", + " decay_l = df_det.attrs['N5_ctau0']\n", + " else:\n", + " decay_l = df_det.attrs['N4_ctau0']\n", + "\n", + " df_nu_reco = analysis.reco_nueCCQElike_Enu(decayer.decay_selection(df_nu, decay_l, \"miniboone\", weights=\"w_event_rate\"))\n", + "\n", + " return df_nu_reco" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def get_pval(df_prob, ndof=8.7):\n", + " bin_e = np.genfromtxt(\n", + " files(\"fastbnb.include.MB_data_release.combined\").joinpath(\"miniboone_binboundaries_nue_lowe.txt\").open())\n", + " NP_MC, _ = np.histogram(df_prob['reco_Enu']*1e3, weights=df_prob['reco_w'], bins=bin_e)\n", + " bw = bin_e[1:]-bin_e[:-1]\n", + " # plt.step((bin_e[1:]+bin_e[:-1])/2,NP_MC/bw, where ='mid')\n", + " chi2= fb.fit_functions.chi2_MiniBooNE_2020(NP_MC, NP_MC.sum())\n", + " return scipy.stats.chi2.sf(chi2, ndof)\n", + "\n", + "\n", + "def get_pval_nevents(df_prob, nevents, ndof=8.7):\n", + " bin_e = np.genfromtxt(\n", + " files(\"fastbnb.include.MB_data_release.combined\").joinpath(\"miniboone_binboundaries_nue_lowe.txt\").open())\n", + " wreco = df_prob['reco_w']*nevents/df_prob['reco_w'].sum()\n", + " NP_MC, _ = np.histogram(df_prob['reco_Enu']*1e3, weights=wreco, bins=bin_e)\n", + " chi2= fb.fit_functions.chi2_MiniBooNE_2020(NP_MC, NP_MC.sum())\n", + " return scipy.stats.chi2.sf(chi2, ndof)\n", + "\n", + "\n", + "def print_summary_of_event(df, col='reco_w', summary='Events'):\n", + " coherent = (df['scattering_regime'] == 'coherent')\n", + " pel = (df['scattering_regime'] == 'p-el')\n", + " nel = (df['scattering_regime'] == 'n-el')\n", + " print(f\"{summary}: {df[col].sum():.2g} total ({df[col][coherent].sum():.2g} coh : {df[col][pel].sum():.2g} pel : {df[col][nel].sum():.2g} nel) -- pval = {get_pval(df)*100:.3f}%\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generating events" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# TMM\n", + "delta_TMM = 0.3\n", + "# kwargs = {'mu_tr_mu4': 1.2e-6*2, 'm4': 0.470, 'decay_product': 'photon'} # 3+1\n", + "kwargs = {'mu_tr_mu5': 1.2e-6*2, 'mu_tr_45': 1e-6, 'm5': 0.470, 'm4': 0.470/(1+delta_TMM), 'decay_product': 'photon'} # 3+2\n", + "df_0 = get_event_rate(kwargs)\n", + "\n", + "# Vectors\n", + "DELTA = 1\n", + "M5 = 0.2\n", + "M4 = M5 / (1 + DELTA)\n", + "kwargs = {'d_mu5': 0.0002, 'd_45': 1, 'dprotonV': 3.4e-4*const.eQED, 'deV': 3.4e-4*const.eQED, 'mzprime': 0.03, 'm4': M4, 'm5': M5}\n", + "df_1 = get_event_rate(kwargs)\n", + "\n", + "eps = 2e-3\n", + "kwargs = {'d_mu5': 0.01, 'd_45': 1, 'dprotonV': eps*const.eQED, 'deV': eps*const.eQED, 'mzprime': 1.25, 'm4': M4, 'm5': M5}\n", + "# kwargs = {'UD4': 1/np.sqrt(2), 'UD5': 1/np.sqrt(2), 'Umu5': 1e-3, 'Umu4': 1e-3, 'gD': 2, 'epsilon': 0.75e-2, 'mzprime': 1.25, 'm4': M4, 'm5': M5} # 3 portal\n", + "df_2 = get_event_rate(kwargs)\n", + "\n", + "# Scalars\n", + "theta_e = 2e-3\n", + "theta_numu = 3e-3\n", + "theta_nucleon = 3e-3\n", + "kwargs = {'mzprime': None, 'mhprime': 1.0, 'm4': M4, 'm5': M5, 's_mu5': theta_numu, 's_45': 1.0, 'deS': theta_e, 'dprotonS': theta_nucleon, 'dneutronS': theta_nucleon}\n", + "df_3 = get_event_rate(kwargs)\n", + "\n", + "theta_e = 0.8e-3\n", + "theta_numu = 1e-3\n", + "theta_nucleon = 1.1e-4\n", + "kwargs = {'mzprime': None, 'mhprime': 0.03, 'm4': M4, 'm5': M5, 's_mu5': theta_numu, 's_45': 1.0, 'deS': theta_e, 'dprotonS': theta_nucleon, 'dneutronS': theta_nucleon}\n", + "df_4 = get_event_rate(kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Events: 5.4e+02 total (2.4e+02 coh : 3e+02 pel : 9.3e-09 nel) -- pval = 36.676%\n", + "Events: 4.5e+02 total (3.6e+02 coh : 92 pel : 0 nel) -- pval = 28.423%\n", + "Events: 9.3e+02 total (2.9e+02 coh : 6.4e+02 pel : 0 nel) -- pval = 43.986%\n", + "Events: 8.1e+02 total (2.7e+02 coh : 3.8e+02 pel : 1.5e+02 nel) -- pval = 22.266%\n", + "Events: 8.5e+02 total (7.5e+02 coh : 59 pel : 43 nel) -- pval = 59.249%\n" + ] + } + ], + "source": [ + "print_summary_of_event(df_0)\n", + "print_summary_of_event(df_1)\n", + "print_summary_of_event(df_2)\n", + "print_summary_of_event(df_3)\n", + "print_summary_of_event(df_4)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "624.6404778396793\n", + "783.1227804217625\n", + "729.8398248521028\n", + "682.9289167570857\n", + "779.8597001359492\n" + ] + }, + { + "data": { + "image/png": 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", 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KpUJnZyd4nkdtbS3UajVMJlPSykKhUKCjowMsy4LneelagPCyYjAYUqJHYDEhsSYIImaWQqjf7XejhMmPKV08z6O+vh52ux0Mw8BgMMBsNkvxBqxWq3RsbW0tTp48KYlWV1eX9MDv7OyEw+GASqUCx3EwGAzSGLDL5UJrayuampqgVqtht9thMpmgUCgiHusvSv73EMfNlUoldDpd2Dw6nU7U1dWFzL/FYpHu70+4sd1I477h8uVyuaTtYpnrdLqklkVra6u0T7yWP/O/r0RIrAmCiJnzwx7srt60uEItz8eqrNiWiInWlyjAYrS+lpaWBcF+WJZFR0eHJAj+1irDMJIAiELsH+mvq6tLOk4c7xZfCEIdW1RUFDA27n+PWAg38Up8IQlmVdtstqDnhdsnEq4MdDod5HI5TCZTQBd9uHNiLQuNRoPa2lqwLIvGxsaILzQrERJrgiBiRpr1vYhCvTo3B+/1uWNK13whS9YaZH+rDkCAWMzvOg53bLSEE2SGYYIutWptbYXBYJC6isVjAaC7uzvk9cLt8ydcvhoaGqSlb/7bk1UWCoUCbrcbDocD7e3t0Gq1Ab0kmQBNMCMIImaWQqjPD3mws1QeU7rEmdD+2Gw2NDY2Blh4gDCLuqGhIeI1g53r/93fIox0bLSEO0epVC6Y/WyxWKBSqSSh7ujoCBBgcalXMMLtE4mUL7Eb3f86ySyLlpYWcBwHlUoFo9G44OUiUvpXAmRZEwQRM+7RCWwvL8JfLl5F0brVyJdl4Z2LV1FTXAjv2HVpHfW5QRdWr8pBUX4e3uq5AuWmAkxNTUnrqPuu8tKs77d6r6CEEbq+3+tzY2epHFf58ZjSxbIsTCYTDAaD1K0tTrYyGo1obW2VJjt1dnZKE8/a29ulYzmOg8PhgMlkAsuykkDMv6bNZguYQKVWq0MeG+keLMtCr9fDaDTCbDaHXfctTt4SJ5VxHLdgvTTDMAus2HCTx8LtAxAyX/7nz7eik1kWHMfBZrNBoVDA5XKhsbFRuo/D4UB9fX3Y9K8EKJ41xbMmiKiZmZlBRWUlBgcGluyepaVluHixl1yO+qHVagNmq2cy/jPL041YtIgsa4IgoiYnJweXLl4k3+DLjF6vT6l10cuFODafjkIdKzRmnWG0tbVh+/btaGtrW+6kEGlKTk4OZDLZkn1IqBeiVqvhcrnS1qd3smhpackIV6MAdYNnXDd4JuedIFYaFHUrvYnleUyWNUEQRJpCQp05kFgTBEEQRIpDYk0QBEEQKQ6JNUEQBEGkOCTWBEEQBJHikFgTBEEQRIpDTlEIgoiJmZkZcopC0LKxJYYsa4IgomZmZgZVleXIzc1dsk9VZTlmZmaWO+tLjs1mQ21trRTNKlnU1tbCYrEkdA2z2SwFMBF9pFssFhgMhgWBVEQMBkOAExeO42A2m2GxWNDa2rogOEmq09rauqT3I8uaIIiomZ2dRf/AEMa7HoOs+gDQ+xxQ/aDwt3w/MPwyoLgVmOgHsmVArgLwngM23gEM/Bqo1AI9zwjnXOwESu8Brr4BFNQAUy5gdhpYWwa4TgNbPonpnmPIv/0IZmdnl9W6Xg4rUq1WBwSsiJf5aTcajairq4v7emKULtHFp1arxcmTJyWvalqtFk6nc8E5ra2tUnxxQIgU1tTUJH3X6/UwmUxxpyuZRFPfOp1Oija2FJBlTRBEzMiqD0A20AlZzSPCX1YL2cjvINu8B7LpYcjy1kCWvwmy607ISvZCduUlyLY+AFn/c8I5g8chq/ocZHwXZEW7IPN5IcvxQVZYBdnoW5CV3w3Z8C8h2/rgcmcVHMeho6NjuZMRF8HSLkYhi5eWlpYAn+SdnZ1QqVTS92DX5jhugf9uMfJWqhFtfYv5XKoeARJrgiBip/c5oPohoPdZoPwAMGwDFKp5FvVZYOOdwMCvgMpGoOdp4ZyL7UDpvcDV14CC7fMsagewRQ30HQeqHhCs8GUmnX1PJzvtPM8vEF3/sJidnZ3Q6/UB+0MFHFEoFKitrZXCX6ZKmMtYyqyxsTHhIYVooW5wgiBip/rBJRDqp4Gq+wEciTpZNpsNer0earUa9fX1cLlcsNvtMBqNYBhG2m8wGAAAJpMJdrsdDocDNpsNLMuC4zhoNBqwLAubzYbu7m5pfFatVoNl2bDH+4ds5DgOVqs1YjhL/7jYXV1dIQXDYrGAYRhwHAen0ykdx/M8Ojo6wLIseJ5HV1cX6uvrF6Sd53kcPnwYer1einfNcRxMJhP27NkDl8uFhoaGkJZ3R0eHFJvaHzFGdX19fUAc7XDdyZ2dndi3bx+USiV0Ol3YLvBg5SOOkatUKnR2doLnedTW1krxvkOdF66OgtW3QqFYULZiuatUKhgMhoDu/EXDl4F4PB4fAJ/H41nupCw5mZx3InGmpqZ8AHxT9r/z+dxv+3zv/ZvPd/l3Pl/PMz7fxQ6fb8jm8539gc/nOu3zvf24z+c97/P9+e+Ev28/Lmw/+wPhuIsdwnmXfydcx/22z/fWY++f4znjmzr9uHC/qamo09jU1OQzGo3S987OTp9arZa+63Q6n06nk/Y5nc6A/T6fz6dSqXxut1u6nslkkvZFc7xGo5H2qdVqn91uD5lep9PpU6lU0neTySSl32g0BtwbgM/pdEr56OzslI6zWq0B1wiW9vnXdLvdPpZlA9LuX3bzaWpqCpkXt9sdkCb/dPh8voD7+HxC2VutVp/JZPIBkOpkPuHKx2QyBZw3v55CnReujuaXWaiyFfG/R6zE8jwmy5ogiNgp37/IFvUDQN/PgC37AHw35uT5W3MajQZarVay8hiGQVFRkbRPtM78YVkWHR0dAVaiiMlkCnt8UVGRdH0xLaKlFgyTyQSFQgGbzSZt6+rqCnqs2+2WLGuXyyWNl2o0GtTW1oJlWTQ2NgZNdzBEi1EsL/8JYMEIZykzDAOtVov6+nq43W50d3ejoaEh6LEcxwVYqGq1GrW1tTAYDAu62cOVj06ng1wuh8lkWtBFH+68WOoo3rJNNiTWBEHEzvDLwOY9iyzUauBKcNFKlPmCEC2Jxo8Wu+bFNIjd4yqVKmDsN5QgtLS0oKioSOp2F1EoFHC73VJ3tFarhdVqXZD2+UI7f1ukiWcMwwSUgc1mg1arhdvtlvIEvD/pyn+iFsdxaGlpQWNjIziOC+hOZ1kWzc3NIcs3XPk0NDRIy9vml1u05RoKnuejKtulgCaYLTJtbW3Yvn072traljspBJE8FizPWgShdp8WjosD/4e+xWJZMAPa34pqbGwMsL4AYQw2mFVos9liOn4+VqsVdrsddrtdEupg1/P/LuZFHH9tamqSxk/F7S0tLeA4DiqVShqfD5b2+dfUaDQL1kXPT4s/SqUyYPazQqEIEEOHwwGGYSSR1Ol00gcQlmepVCqoVKoFvQcjIyMLeiyAyOUjLp9SKBQxnRcN0ZTt/PsuFlk+n8+3JHdKIWIJ+J1O90rH9BDpxfT0NHJzczH+7o8gy12d8Dpq9J0QJpH1PCP87fu50PU9J9TTU9eRX9OIqakpyGSyqNIoOt8Qu767urrQ3NwsTTAzGAxQKBQwGAyS0MyfiNTY2CgJB8dxMBqN0uQlcSJZsOMdDgcOHz4MADh69Cg4jpO62Y1GY0iL3mazwWq1StamWq0Gx3EB12JZVpocJmIymSRLlWEYKBQKuFwuKBQKaDSaBWkXJ5gpFAqYTCYpL/PvHcrCFiej+U+As1gs0suP1WpdkE+e52E2m2EwGKDT6STBFstQvJdYttGWj38atVotjh49uiDd0ZTr/DoCEFBm4qS++WULQJpoGO8Es1iexyTWJNYEETWCB7MK9A8MLtk9y8pK0dt7MWqnKAaDQZphTCQfrVYbcXZ7puA/qzweYnke05g1QRBRk5OTg96Ll8g3eAaj1+tDrp3OJMShhHiFOlZIrDOM8fFx6S9Z1kQ85OTkpKx4in6qHQ4H6urqgo6BEomhVqthNpszPpBHS0vLkjrMoW7wFdYN3tbWhv379wfdNz4+jr1798LpdEKpVOLUqVPIz88PeuyJEydw6NChRUwpQRDpTKaLdTKgMesIrGSx3r59O86dO5fwdWpqanD27NkkpIggCIIIRiz6QEu30oRol4A9+uij8Hg8QT+Dg4NQKpUAhCUYg4ODIY999NFHlyJbBEEQRBSQZZ0mlnWyrjM0NISSkhIMDg6iuLg47usQBEEQibFklrXX65X+P378OI4fP57I5YglQByjDjVWTRAEQaQecYu16OLN4/Hg7rvvRnt7O0ZGRvDEE08kM30EQRAEkfHEvXSrsbERBw8exOnTp2Gz2TAzMwNA8AhDEARBEETyiFus5XI5AGFd4759+6Tt/pFMCIJYeczMzJBTFCIstKwr+cTdDW6323H8+HGYTCZ8/etfBwAcO3YswMl7OER/rGK0lPm0trbCYrFIf2PdTxBE8pmZmUFlRSVyc3OX7FNZXin13BECNpsNtbW1IZ+f8VJbW5vw89RsNku+wjmOC3hWJxq1bKlpbW1d7iRIxC3W3/72tzEyMgKTyYQDBw7g5MmT4DgOhYWFEc8VPQw5HI6glSc6etdoNGhqakJ7e3tAZJhI+wmCWBxmZ2cxMDiA14++jskbk/jt47/FVedVDL49iFNPnMLk5CRe+4/XcKnrElx9Lti+Z8ONiRs4/cxpnP3NWYy5x/DSoy9hzD2Gs785i9PPnMaNiRuwfc8GV58Ll7ou4bX/eA2Tk5M49cQpXDx9EQNDA0tqyYcjVcRGrVajsbEx4evMz4/RaAyIohUrDocDCoVCcsGp1WrR1NQEjUYDjUYjBdBIBaKpS51OB4PBsPiJiQbfMqLRaHxGo3HB9vnJMplMPp1OF/X+SHg8Hh8An8fjiTHFsZOse6XadYjMZGpqygfAd+GVC7432970zc7M+k61nPLxl3jf1TNXfa//2+u+2dlZ35/+80++oTeHfKPDo75X/uEV38z0jO+d9nd83EnONzk26Xv57172TY5N+riTnO+d9nd8M9Mzvlf+4RXf6PCob+jNId+f/vNPvtnZWd+pJ075APimpqaWO+s+p9PpM5lMy50MCaPRmFB6FiM/Go0m4PoqlSpgP8MwSb1fvMSS96amJp/T6VyUdMTyPI7bsv7hD38Y8P3YsWM4duxYwsu3bDZb2FiskfYTBLH4bNq1CXJWjreeeQt3Nd2Ft595G7K1Mmy9Zyv++L/+iLqv16HvtT6MDY+hVleLUy2nsPPATkxcm8DAHwdwV9NdeLX1VZTeXoq1G9bivePvYW/zXtjNdqzbsg7ld5aj+8lu3PbXty13ViWW0g/0UpDs/PA8HxDUwmazLYj1rFAoUqIXNJa8NzY2psRQa9xiPb8L4eDBgzh48GDUY9bRXheAFEc0mv3BmJychNfrDfgQBBE/b/yvN7DplsUXbLvZHlO6/MdybTYbzGYztFrtgmPEcVSxi1M8TxyjtFgsUCqVAUZCd3c3rFYrzGYzOI6DzWaDUqmE2WyG2WxGbW0tAKEr2H+cVnwmRpO2UHman95gWCwW6br+x4nxpG02m3SNYPlxOBwLxsHFuUUWi0UK3hGKjo4OKW60eN9ghHtWB8urWBdiWfE8D6VSKcX1Dlefwco6WN6DlZGISqWC1WoNmealIqbZ4P/8z/8sNbzu7m44nc6A/WIA9EQQg3v7wzCMVPGR9gejpaUFjz32WELpiheKckWsRD5q+Chef+J1fORvPgIAkmC/2voqPvjgByXBvv2/347uJ7tRfme5JNh7m/fivePvBQj2XU13YeCPA5Jgn2o5hVpdLcruKIspXWq1Gmq1GlarVYq53NnZCYfDAZVKJYmP3S68BLhcLrS2tqKpqSlgDFij0aC9vX3Bdf3jZLMsC7VaDbvdDpPJBIVCIV3f/+FeW1uLkydPRkxbMMKldz5arRZOpxNqtTogjKXZbIZKpZLGol0uV9D8AAgoA57nUV9fD7vdDoZhpAnBwe4NAE6nE3V1daGqJuC6sebV5XJJ28W06HS6sOeEKutgeW9tbV1QRv6Ee8FYKmIS629/+9vweDwwGAyQy+ULGphGowlYxhUP84UYCFwGEGl/MJqbm/HNb35T+u71elFeXp5QOkWiiXIFAHv37qUoV8SKoee3PZKoLqZg7/7y7pjTVlRUFLCElGEY6WEriqr/sFlXV1fc5cAwjHQvjUYDg8Gw4LnIsiw6Ojqg0+nCpi0YsaTX7XaDYRhwHAeXyyUZVhqNBrW1tWBZFo2NjQHiHI6Ojg6wLCs9W5ubm8MeP/85HCxvLpcr5LM6XF51Oh3kcjlMJlNAd3u4c2Ip63jLaCmJeZ11YWEhnnzySRw7dgwHDx5MeoJCVbAo0pH2ByMvLw95eXlJTysAHDlyBA8//HDE45xOJ0pKSkLur6mpIbEm0obZm7PoeXnxBfu3j/826Wn3t6AAxPVg9hcm/3HaRKivr5eebSzLShZhtOltaWlBUVERNBpNQJoUCgXcbjccDgfa29uh1WoXdOsGM3iCiW845vdwqtVqmEymBceFs77D5VX0mjl/e6L1yfN8VGW03MQ9Zh1KqCO9fUVCrVYv6CbheV6qjEj7lxqKckVkIhV/VYHJG5M499I53PGtO3DqiVOQ18ixrmId7E/Zcdvf3IbTbacBGVCprsSr//oqPvTVD6HnVA/cfW7s/vJu/Pbx32LrfVvhGfag99Ve3PY3t+F3Lb/DJtUmyBgZ3up4C7d/8/akpruxsXHBZFTxO8MwGBkZCdgeqsvW/xr+xkOw6zscDjQ0NERMm9Vqhd1uh91ul4Q6XHqB97uUxeWwTU1NYFk2YHtLSws4joNKpYLRaIw4QVc8V6PRLJgMFm4ir1KpDJizNP8lhuM41NXVhRT9SHk1GAwwGo0Bhlmkc6IhmjIKZwwuFXFH3Tp27BgMBgPcbre0zefzwePxRO3AQKvVYs+ePQvGQLRaLfR6vSTA9fX1MBqNUvdSpP2RWMqoW8mKcpVq0buIzGRmZgZVVVXo7+9fsnuWlZWht7c3Ki9mDodDWst79OhRaUxTfAizLAubzQar1SpNhlKr1ZJVaDAYpIlIYperyWQCy7LgOA5GoxG1tbVQq9XStRUKBQwGg/Q8EoWTZVl0dXWhsbERKpUqqrQFI1h6OY4LuBbLsjh8+LA06UpMf2NjozSXSJyIq1AooNFoFuSH53kcPnwYCoVCynOosgoGx3EwmUwBM63FbXv27EFXVxeam5vDWuiR7qfVanH06NGAbdGUz/yyBhCQd4vFErSMAKFN2Wy2kGP1iRDL8zhusf76178OvV4f0MB8Ph++853v4Mknnwx7rtiYW1papDGC+V03BoMBSqVSGp8QCy7a/eHI5BCZJNZEopC7USIUWq1W6hVYKRgMhgValyyWRKxPnjwZdDJZT08Pqqur47nkkkFiTWJNEETyEYcOYjGeUhme59HS0rJoa+yXJJ51VlZW0PXKJ0+ejPeSRIbS1taG7du3o62tbbmTQhBEAqjVarhcrpRxy5ooiynUsZJQN/jJkyelfn5A6Aa32+0BkzRSEbKsU8uyTsU0EQQRPxR1KzpiefbFHSKzu7sbTU1NC2bJBZuqTxAEQWQOJNTJJ26xNhqNQcesF2MQniAIgiAymbjHrEWhfvPNN6Wx697eXtx6663JSRmxKJw4cQI1NTU4ceLEcieFIAiCiJK4xfr06dPYunUrDh8+LC1Ct9vtePnll5OWOCL5HDp0CGfPniVvaQRBEGlE3GLd0dGBCxcuoKurC+IctYMHD66YWYCphn9AEIIgCCKziFusQ/l3TYXoJOlIW1vbgjCe4mdoaCggIMjQ0FDIY2n5E0EQxMojbrHu6urC6OgoAGHNNSCMWXd3dycnZRnGkSNHUFhYGPRTUlIihSMVA4KEOvbIkSPLnBOCIAgi2cQ9G1yv1+PWW2+FXC4HICwe53leiitKxMajjz4aMdSm0+mEUqmMGGqTIAiCWFnELdbHjh3DhQsXYDabwXEclEql5DidiJ1wE74KCgpw6tQplJSU4NSpU2EDgtDEMYIgiJVH3GL9T//0T2BZNiWDdK9EREs6lEVNEARBrFziFuvm5mbs27cPR48eRVZWFtRqNaqqqpKYNIIgCIIggAQmmH37299GYWEhDh8+jK997WvgOA6NjY344Q9/mMz0EQRBEETGE7dYv/nmmwCEGeDf+c53oNFo4HQ6F/gKJwiCIAgiMeIWa41Ggz179qC2thZZWVmw2+3o7u7GgQMHkpm+tIfcexIEQRCJEveYNSCMW5M4h+fQoUNRzdCemprCzZs3Q+6fmJiQ/q5aFbraVq1ahdzc3NgTShAEQaQsCUXdIqFODlNTU1i7di1mZmYiHhtu2RYA5ORkY2LieloJtr8rVYpnTRAEsZC4xfrgwYMAhLFrlmVRUFCA3t5emhEeBzdv3sTMzAzGh05DNvwrYMs+wH0aWFsGzE4BU254UYYNO+7BNe5VFLh+DVQ/CPQ8A1RqgYEXgI13Ydr9LvI/8HV4vV6sXbs2oTQl00Jva2uL6PAFEFypRnL4QuvICYLIROIW69OnT0Or1UIul0vd4Xa7HRzH4ZOf/GQy05gxyIZ/BVn53YJQF1YJQj0zCihugaxHiGwmG/olZB/8GtDzNLD1AWDgeaDk48DoWWSv24i8PBk2btyYcFqSaaEfOXIEDz/8cMTjRFeqoaipqSGxJggiI4lbrMWoW4DgzQwQrO3jx48nJ2WZSBCLGuu3A1f/ABR/GsDfAZWNglBXNgpCvfGjwOhZIFeOnOxcjP/5PzBb+CFg+CRQ/nmg9znBCu99DijfDwy/DChuBSb6gWwZkKsAvOeAjXcAA78GKrWYPv808u9owc2bN5Mi1uRKlSAIIjHiFmuKurUI+FvU/kJd+lngL3PRtC62A7ccWiDUyM4FJvqRs6EWOcM2gNUAvc8CNY8If1ktMGwDNu8RhDpvzZxQnwVK9gIDvxIs9Z6ngW0PAWiRJrUlyv333x9S9MmVKkEQRGQo6lYqEcyiLv2sINCVjcIx5QdCCjXktwqCXP4FQaCrHxL+lh8QtitU8yzqs8DGOwWhFi326oeQ3WdBXl4uNm7ciPz8/IQ/a9euwdTUVMhskytVgiCI8FDUrVRCHKOeL9TVDwFvz3mGG3oRqFYvmlDjYjtyKu7D+Gk5ZtdtA6ZcwOy08CLhOg1s+STQdwKoul+Y4FZ1P9D385Bd+NNDv0d+3XeT1qVOEASRicRtWVdXV+PChQvQ6XTYt28fdDodzp8/T0tvEiGYRV39kCCk5XPL5DZ8ZFGFGqX3AldfQ458J2Q+L2Q5PsgKqyAbfQuy8rshG/4lZNsegqz/OeHv8PPC9rG3heNyZiHzjUKmuAUy/g3IKu9b3jIlCIJYASTkFAUAhcVMJqGEurIROGsRjhk9DxSVLKpQo2D7PIvaAWxRA33Hgaq5ce2qB4C+nwnbQ02KK/0scOHZ5S1TgiCIFUDcljWxCFx9NbhQDzwvWNQAkMukj1BfbBdmohMEQRAJQWKdSpR+JrhQb/yoYFEDaSbUDwnj2gRBEERCkFinEhc7Qwj1WcGiBoCJgTQS6qcFD2sEQRBEQpBYpxLVD4Z0eILsuZnU8t1pJNSNgitUgiAIIiESEmuv1yv9f/z4cfJelig9z4QW6okB4ZjLr6SRUD8PbLxrWYuUIAhiJRC3WDc0NMBsNsPj8eDuu+9Ge3s7RkZG8MQTTyQzfZlFpTaMw5PdwjGl96WRUM/lgyAIgkiIuJduNTY24uDBgzh9+jRsNpsU3vHo0aNJS1zGMfCCFJRjwTrqC88Lx1zqBD74tfQR6lz58pYpQRDECiBuy1r0XGaz2bBv3z5pe1FRUeKpylQ23hXS4cmJN9egplKBE+8UpZdQi2PtBEEQRNzEbVnb7Xa43W6YTCa0trYCEKJv9fT0JC1xGcfoWSB/Y9DlWYc+8iwOvf3H9BPq0d7lLlWCIIi0J27L+tvf/jZcLhdMJhMOHDiAkydPguM4FBYWJjN9mcUiuxBdcqEW80EQBEEkRELuRhsbGyVf4B6PB0qlEgcOHEhKwjKSlSjUfb8BgLDhNsV9ExMTWLUqdJNctWoVBQMhCCIjodngqcRKE+phG7Irv4DVuavChtsUY1gXFxcnFGqTIAhipUKzwVOJFSbUKP8CcnqfxdjldzDLPQuU7weGXwYUtwbk4yc/eRot//cUmh+uxZf+2xFhvXn1g4JHt9J7gKtvYHoNi3zlZynUJkEQGUncYk2zwReB4ZMAq1kxQi3mI6f3WeSwWmH75j3CcXlrpHx8+evfwpfv2/l+PmoeEe5X9TkhH0W7gPEry107BEEQy0ZCs8F5nqfZ4Mmk/PMrTqiTmg+CIIgMJaHZ4CMjIzQbPJn0PkdCHS4fBEEQGUpCvsEPHz6MoqIieL1e7Nu3DxqNBocPH05W2jKP6gdJqEPm43TE4mtra8P27dvR1ta2BJVFEASxdMQt1qdPn8bWrVtx+PBh2Gw2AIDD4cDLL7+ctMRlHL3PkVCHzMcnIxbf/v37ce7cOezfv3/x64ogCGIJiVusOzo6cOHCBXR1dcHn8wEADh48CJ7nk5W2zKN8Pwl1yHycWO7aIQiCWDbiFuu6urqg210uV9yJyXiGXyahDpmP+5e7dgiCIJaNuMW6q6sLo6OjAICsrCwAQG9vL7q7u5OTskxk3vpjEmr/fDyz3LVDEASxbMS9dEuv1+PWW2+V1lu3tLSA53nY7fakJIzjOPA8D5VKBZ7n0d3djbq6OjAMIx3T2toKlmXBcRxYloVGo0nKvZeNeeuPSaj983E/gCPLXUMEQRDLQtyWdXV1NS5cuIDDhw9j37590Ol0OH/+vOQrPFEsFgtqa2uRlZUFuVwOh8MRINR6vR4qlQoajQZNTU1ob2+Hw+FIyr2XDbKow+Tj58tdOwRBEMtGQoE8AECn00n/9/b2oqqqKtFLSjidTsm6no/ZbIbJZJK+19fXw2QyBWxbCqampnDz5s2EriEFuSChDpOPfQC+m3iFEQRBpCFxi/WxY8fQ0NAAq9WKT35SWFbjdDrBcZz0PVFYlg263WazBVjZ/tuXkqmpKaxdu1byi54IeXkyZI+dB7Z8lIQ6WD6udCWhxgiCINKThCzrCxcuoLq6Wvq+b98+HD9+POFEiVgsFgDCZLY9e/ZIY9LBlocpFIqQM9EnJycxOTkpffd6vUlJ382bNzEzM4Px3pchu+EMInAn51yIPjfn8OS5kMEsssfOI4eEOnw+CIIgMpS4xdrtdgcItUiylm6pVCppQplGo4FSqQTLslCpVHC5XFAoFAHHMwwTco13S0sLHnvssaSkKxiyG07I8je+L3Cb9ghCJgblqHlE+BsmmAVZ1BHyMfl+zOtQUFxsgiBWKnFPMOvu7saf//zngG1vvvlm0pZuqdXqgK5ulUoljUfPF2pAsLaDdY0DQHNzMzwej/Tp6+tLSholUlXgVopQz04h+6YHeXm5FBebIIiMJG7L2mg0Yt++fejp6ZGWTykUiqQt3TKbzQGT11iWlcakGYZZYMEHs7ZF8vLykJeXl5R0BSVFBW6lCDWm3MhhdmK86x8wW3yPEOe6+kFh7XWlFhh4Adh4F7xDb2JD3Tdw7e3nUJDjCjoUMX3hGeTffoTiYhMEkVbELdaFhYXo7u6GzWaTBNs/rnUicBwHvV4PtVotTTLjeV76X61WL+jy5nkearU6KfePGf+u7xQSuJUi1GI+cio+h5yL7cKwQs/TwNYHhHyUfBwYPQvZ2g0AANn0ZciK7ww+FFF9ELRemyCIdCPubnAxYIdarZbWWgPAD3/4w4QTxbIsjEZjwGxwm82G5uZm6btGowmY/W21WqHX6xO+d1yksMCtFKGOOh8AIN8dJh8UaIYgiPQjoW7w+Uu0PB4PTCYTvva1ryWcMI1GA4PBgKKiIjidTphMpoD11p2dnTAYDJKnM9FJyrIwfPJ9Cy4dBW6FCPX4yDkAwHjvSyhQPRwiH7cuTxshCIJIgCyfGDIrRhQKBfR6PVpaWgAAJ0+ehFarRVZWFkZGRpKayGTj9XpRWFgIj8eTkMe1iYkJ5OfnY+ra25ANdKalwCUi1G3/53Ec+S8HHn1kNw5944lFz0fbv38L+w/9T2DoRWDDR4DR80AuMyfUHPY++O9w9vZDWV2OU0c1yN/xEHCpEyj9HHDlFUD+IUx7L2GD6usYHx/H2rVrk9amCIIgYiUWLYpbrD0eDwoLC/HEE0/A6XSiu7sbHR0dABB0SVcqkXSx7n4UMnFMNEOEGgO/glf+GRSWqeDpd6DA/cKi52P7wadw7kJvUtoAiTVBEMtNLFqU0Drrnp4ePPnkk1CpVPjOd76T8iI9n0jrcaM5H8Ccw5PMEmpUNgJvz81P6DsObD+46Pl49CtnsL/xaIBFjYkBQL4b470vYe9XfgJnTx+U1RU49UMt8rdqJIsaEwNAtgzTWeux4ZaDCbcdgiCIpSShbvCioiJ0dHTg1ltvRU9PD0wmE9588028+OKLyU5nUhHfZpJBXl4uxt9oRk6VJrOEuudpeIv2C5Z17ykUTL617PkY6jKhRP1vGDz5tyhWPRI0H9Mj7yL3A98gy5ogiGVnSSxrlmVx8uRJSfSqq6vx/e9/H1u3bo33kkvO0CvfRdEt2pDrdoMLQ+C63exL7Rkp1Kh+CPjLU0JBjvwRKPnwsucjf8dDAP5NsKhD5uMOAOE9oUULeUIjCGKpiFusm5ubg1qnBoMhoQQtJbKKeyAbPB5y3S6icSGaqUJ9sR0ovhvA48D6bamRj3d+JFTslVeAijuD5iP70i8lT2iJkpOTjYmJ6yTYBEEsOlGLtdfrBcdx4DgOLMvi4EFh3M/j8aCjowMejwdA6EhZKcmlE4BKnxHLmhYlHz0nhXKccgMy2fLno/RzAFrmxqiD5yOH/SLGX5/CbOUDQo9K6T3A1TeAghqpPrwzcmzY+Tlcc/4eBbwNqLpf6HWpul+Iq71lH6avdiN/91+TJzSCIJaEqJ2iyOVytLe3Q61W48Mf/rC0vbCwEIcPH8a3vvUtVFVVQavVLkY6F4fKBhLqRPKxfptQjqmSjyuvCOmZm0wWKh85Wx+GbPA4ZFWfg4zvgqxoF2Q+L2Q5PsgKqyAb+wsAQHb515Btewiy/ueEv8PPQ1Z+N2Rjb0NWULk8bZYgiIwkarHet28fWlpawg6CazQayeJOCy52kFAnlA+3UI5rS1MjH/IPCelJtD42fUK4ToU2fD4IgiCWiKjF2t872LFjx9DQ0IA9e/bgiSeeQG9vr7QvrbrBK/aTUCeaDwBw/zlF8jEgpCdXnlh9DPxCuM7F9vD5IAiCWCKiFuuioiLp/4MHD8JsNqO2tlbq/g52XMoz+BIJdUL5KBXKcdMnUicfgLAOO5H6qJgbyqnQhs9HFLS1tWH79u1oa2tLfvslCCJjiFqss7KyAr4zDBN0mdb841KaDXeQUCeSD/dcPPOBX6RIPuRCeopuT6w+LrbP5euXYfLxalRNbP/+/Th37hz279+f/PZLEETGEPVscKvVCrlcDn8fKlarFQzDBBzX3t6Ob33rW0lL4KIydh7YXEFCvdhju0uVj2tvCukZ+g1wy8Px10eFFoAR2PyJMPn4DIDmZWm2BEFkHjGJdTBx7urqkv7neT69LGsZQ0KdSD7ee1Yox4vtwAe+vPz5KLpdSE/5gcTq472fCtdxvwVs3hY8HxeeXZYmSxBEZhK1WOt0Ojz55JMRj/vOd76TUIKWFBLqkPmY2fJpzA6eEtYfj195Px+Xu4AtnwS4TkwXfwFAC6ZL9mOaswBb9gFXuoTjJiekfGQP/x45FZ9b/HycPSbU68V24INfi78+Nn8CwGPCmHzI+ngQwOMRPaGJ+yP5oSdvaARBhCNqsdbr9VEd19jYGHdilpzrA0Dxx0iogwh15QfvxsBwpFCn/wAA2FD9kbnv3w16VGnJFlx8fhw5Wx9e3HyUHwDwuHD9ROrj0mtCwmengKnRoPWRfeGpmDyhFRcXh91P3tAIgghH1GJ96623JvW4lID5EAl1kHzMDp7CwPAIfvbqGRQr1uPdATeUmwswM+vDxWtj2FUmx4BrDGNjYzhUr8L/+cUfsa18M3JX5eD8sAe7yuQYGb0B7/UpVG1cizt3VWK28gHkpE0UsLlZ7lM8sOHDQesjh/0ixrvyMVt0Z1gf8t53nsKGTzyBa78zoGBnIzD8MqC4NTC4iOs95H/4b8gbGkEQIYl6NviK5PIrJNRB81EDAChWrMe5y2PYXlaErJxVGOAn8aHqTbjsnUR2jgxVmxgAQMWmQqxdsxo91yawu3oTPDdmMDHtw86KDeCujAtl3fPMoufjxDtFqKkswonTuQnVx/iYFwAwnlMWtj5ytnwMshtOyPI3Qpa3FrLpYcg27YFs5BXIWA1kA52QbX0AACCr2g/ZyO8g27xHOC5vDWT5myC77oSs+K6lbvkEQaQZmS3WZfeSUIfKByBY1FvmLOqrY7ilXI7+kTHM+oCKDetwZoAHAMGiHvJgV/mcRT0xhW0lhTg7wKNo3WqhrCu1i56PQ3dO4expGw7tKwpbH22vr4H37R/Cq/gcvO/9FN78O+C99Bq8MwoMDQ1j7wEDAGDvZ76MoZzb4f1LG7xF+4Vz5PfCe9YC7+pb0fbUjyLn41KnkP8rr4TJx6+XuOETBJFuRN0NviK5eEwI5LGChHqm5POY7fuN0NXq6RXykVMAjLwrhIfs/YUgnOd+LEySuvCsEMzCbzLZ9NQNAHi/6zuIUL/b50bRGqEY3+29jDs/XLNQqNevRr5sbnXAwAvvRzNb5nXtR+67HQ9fdAEwzjWEx4I2D2ffCEp2fHzu2/fn/QVq2BIceuBAwsFFUKkF8L2kNWuCIFYemS3WlQ0rTqgrP7AviolhojAcmff9fQoKCjA6NoZB9w3sKGVw7uIQZn1AWdE6dJ/pQ9Ea4BuHDgAA/vmbX4Lxh52YxiootxTi9Lk+KNatRs5MFk73XgMATDO3A66/CPmYyQZGe4V89P1GiA9+/mnh5eH800D5fmH7vBeObPd7yNny0YTr49HmJuz/8PW5ddRv+c365jGeU4a9n/kynH0jUJbLcerkr5B/9RdCGxl6EdjwEcFDWi6DEy/ZI79wXHheKNCJAaCwMHi7OvfjhJoxIdDW1oYjR47g0UcfxaFDh5Y7OQSRVLJ8/l5OMgSv14vCwkJc+50BRbu/lBJCPcP9VAjb2PPMXJfxC8DGu8JOXkLvc4LA9T4HlO/HdL8V+SoD/vB2L9wTNzE2eRPKLQU4O8BjU8EarFstw5lBHjtKGIzdmMYV73VsL2XgHPZiXd4qbCxYI00me/Czn0D/RS4p5Z2Tk4OZmZmEr1NasgUXX/h/kcN+cVHrYyjndpTs+DgGz72G4uu/SWgoYmi6EiW7D2DwTyYUlyuDtqvpsvuRW7QL4+PjWLt2bRJKPDMRf9cejydswCGCSBViabOZbVmX3ZsyQl3x2R9icPAf5xL2eBSJF5dJidaxsIxqS/EW8DdmcWMmCzvKi3Cmn0dJUYEg1AM8PlC5EWM3puGauIkPVG3EhSEvmHVrBKHud2N7WRFmZn34zANfx5fu12DQNSZZ1GcGeJQq1iJ3VQ7e7b2Mf/7ml9B/qRebSyvw9LEX0O+ZgmLdahSsycX5IQ+2FhdgYvImfvnzn+NrXz6EnqujWL0qB5sZ4V7KTQWY9fnQe3UUO8sUGObHMT0zi8oN6/HegBslTD5W5wozzLdtXoe9H6zCbLlGmFW+iPWR/xfBj3f+1V8AtxwKKdRtLw1if+0AUHof8M5/CW3lnR8JXd8Xnsd43nbs/ezXAQB7G/4ep37y/yG/7GPCevDyA8Ls9cpGTP/l6aQ1aYIgViaZbVm/9jiKlHuXvetbsKx24rV3L6L36gQK1uSiaP1qvNvvxrYthZi6OYN+1zh2lsnRNzKG7CygVLEO7/a7UblhHXKys+C87MWuUjmujU3i+rQPW4sLcKafx6bCNZJQ7yids6g917GjjMGFIS/WrV4lCXW4yWTv9rlRVpQfMJnsHHcRD35qD1564x24buahaP1qFK7NxZkBHjUlhZiYvIkh9wR2lcnBXRnFatmcUPcJ1vusz4feK6PYVa7AkFsQ6qqN6/Fuvxsl8jmhHvJgZ5kcV91j+MweFlPdj0JW88ii1oe3aD8Ky26F59KfUDD6SkiLenvtPTh38VrS2mU6Wdap2OVMljWRbsTSZjN7Nrh897ILtTBG/QwAoPfqBBQF+disWI9zw2PYWb4Bs1nZGPZOYXf1Jgx5JpErk6FqsxznhsegLJYjLy8XF0euY3fVJriv31wyoR4ZvYHpuY6Zfs/Uogq1e2wS7olJAMB0WSOmLzyL6U2fwvTgKUyvUWJ6/AqmJ69jWrYF05e7MF30cUxznZgu1WL63I+Fv5wF00WfwPSVLszkFYevDzGQx9CLYbu+H23+FjyvGuDpd8DzWjM8F1+Hp6sFngsvwPPWUQz+yQRlleAMRVldhsGXm4RjxXNe/y48vadw7Q3jwraZ4lCAEoJYWjK7G/z6ILBWkQKTybQAHn/fou5zY1vxnEU9Mo5d5XJcuiZY1GVF6/CXPjcqN85Z1MNe7CqT46r3OsZu3FwyofZOTEG5pRAAoFi3yEI9PokdpQps3FyM/C275yovmtnT/zD3VxwqEIYOSos34sLJI8gp3AEM/k4IynHhWWH8/9yPMV18H4DvY7pwD6bDTIp78LZ25Gz9mjBGvfMBYUil4k5B0AsLUbBRgVM/+f9Q8tFHcer/PoDiusNCfYuuUOcct0yXfChpTZogiJVJZot11qoUEOpGoPfnAJBWQr2tRJj1DQAFaxZXqLeXMDg7yKPthdfBrJXhvQFheODG1AwG+XHsLJXj4rVRyHKysYXJx3v9LlRtXI/srCw4rwhldJm/jhs3Z1BZtBb3fbwOa3bp/BqCGD3r8YC/G3bcE6bxfBelJcW4+Ksc5FRpQs59yC/7GAAgv+b+0O1q/AoARPQzHg3kY5wgViaZLda58uUX6oHnhVnfAN7td2Nn+Ya0EOqzAzwUcw5Pzg958KFtpYsq1PL8PMjX5eG9uTK6MTWDK2NC93/v1VGsyctDsTwf7/a5sLVEIQj1ZS92V2/CZf46biIbNSWFeLffjWdf+hPWyLJxbsiDHSUMPBNTGBm7gZoSBheGPFg1M4mGT34Y//vEG9itLA06Z2BzQR7uuqUSs6WfR06CwUWyMROTn/FwkI9xgliZZLZYj14Aaj61/OuoXX8BgPcnk6WBUBetF9ZRA5BmfS+FUG8rnrOo3ePYVSZH71XBohaFumrTekmod5XPWdTTM2A3Cfcqlq/F2rxVODfowQcqN8IzMQXPjRncUrkR5wc9UBTkIw+C0G0vK5qbM3Adu6s34dK1MeTKZCgrWoc/9wjWMIZfBjbvSSi4SM76CozbWzC76a+AvhNA1f3CPIaq+4G+nwvRzIK2q1eFLvyLnUD1g5g+/zTy7/injPUxPj4+Lv2lCWbESiOzxXrDnuUXanHyEoCpmzMY9l5PC6EuXJuL0+fmum8nb8I7ll5CvaN0zqIevYHtpQzOD3pQsFaYM2A/c1Wqj8uhXpw2rBPa0LygHPEGF8kp/RRy+o4D2+bayLaHhHZVfrfQrgqrhHY1MwoobhHaVdXnhXZV84hwjrIRwD+t2O70tra2kBPaxsfHsXfvXgDA3r17cerUKeTn5wc99sSJEykzg50goiWzxXrQCnz4K8sv1DPCpPx+17hkwaW6UJ8Z4LG1WLBehvnrqNteviKE+t0+oYwAYMA1gbod5UHrwzdzU2hDE/1A3prQcx8qGwEYgeK7F71dZV/6RRK703MwMTGRUoJ95MgRPPzwwxGPczqdKCkpCbm/pqYmY8U6FZfcEdGR2WJd/oXlF+rsXGGWMYCdZelhUYuTya6OuAEAO0qYFSPU24oL4eZ5IV+lTMj6ODsoROaans0GskL7XhcdnkwPz836Hr/yfru63AVs+STAdSKbnQshmkC7ytnyMYy//X8wu6owKo93wcJ1wnsO00wd8svuTLnu9EcffTSiZe10OqFUKiNa1pnK/v378fDDD9OSuzQks8X6YocQyCMVfH0D6Bt5f0w01YV6YvImhvnrAIDea6NQMMyKEOqpmzMYcAndyP0jY1i3fn3Q+rilvAibNm9B/o6HgjSs+b7XgQ13GMI2xZLN/xuX3juFnATbVc6aIuSI7WrTHmGWOqsRlpfVPCL8ZbXCdnGs3b9noGSv8MIRgeUYHw5nCRYUFODUqVMoKSnBqVOnUFxcHNd1CCJVyWyxrmxIDaHu+w0ApI1FLU4m21HCAMD7LkRXgFD3j4xjRykTVX38u+X3YDevC+t7vbQwB59UbUf7ydOoLNkk+V6fmfXh4rUx7CqT49IVHtq9uzB78WfIEceo57Wrth/+Lxz50R/x6COv4dA3nljk8KlCFDCv14ubN28u+Nmk6viwmIZQaSGIdCazxbrvZ8AHGlIgetbnAXwXpYr0EepdZXK80zMIANhYuHKEele5HE899RRKKqpxzv57TGd/KmR9bC+TR/S9/taFAQDAZkUBzl0ek3yvD7jG8KHqTegfGUNWztzPMOSs7z9g/5f+Fg//z9uw/5GfLX6c87koYOGsUxEaHyaIpSGzxbqkPmGhnrk+gtn8bUE9YaFSKzg82XhX2PCQ0xeeBSCss1YWy9NCqLkrQlAOADg7wOMDbMmKEOpL18aw77MH8fDDDyflxSk/T/iJnR3k8QFlSdD6KC+am1nuP+t7/gvgXHARXGwPG1wkOfHBHwRwBENDQ0F9ldP4MEEsPZkt1te6gMrahIS64uP/E4NDl+cuGNwTVngEF5gbNm1G1aaC9BFqWQ7yV68BAFRvWr9ihDrZQxF/tP0WW8qq0Pf2H7CzWhu0Pt4S12yH66mpbATwfUF0F1WoHxJeOCEs31q1auEjorCwEC+99BKUSiVeeuklFBYWhmzd999/fxS/AWKpoLXo6UtGi/X06mpMh5idi6r7Beu46n6AswhdlFe6hOMmJ4ApN6ZXKzE4dBlHX3wTt1RsWOAJK5boWVWbCpArW5U2Qr2ZWQP7GcHdKAl16Ppgb/sUjtk04etDMWeViuuogw2piOu1h14EqtWLJ9QX25Fdfi9W5z4e1RIwpVIZdj95VFtaaC36yiWjQ2Qmgw2bt+CXv3NgbHJm2YVhKYX63T43tuRn4VN7amD+lR21OypIqOOsj2zfLD72wXKMv/MkZPJdCzyToecZeBX3YAN7F66d+TUK0B9EqGNbnoWNdwADvxaGanqeEc652AmU3gNcfQO+9VuRNc379TidFl5k5zysed/+ETZ84glcO/VdFGy9N+hY+/TQ75Ff990lC/1JITKB7du349y5cwlfp6amBmfPnk1CiohwxNJmM1qsf/CzV7FnV3XUQSCqN67HewNuFDNzwjDkwc4yRUYKtXJzAUZHvfj0bdvxuzc5jN7MJqGOsz7O9rvQ/KVPYnh4eLl/GhIlxRtx6dS/Imd9RdChIa/icygsr4On57couHk+aBf+9Ka7kbvxQyTWS0g0lnW0cw2WwrLOdCctsbTZjO4G31mxAQP8jZiCQJRvLFzgWzqdhCFZQj3r8+HS1TEAwGV+HLI1+STUcdbHB6o24P8+/zo84zewtbgQ5wZ5FIlhRwd51BQLDmi+8LHdeNl+Flev+y2X63dDuWluFv7VUewsU2CYF3o4KjcIL5clzFx9DHuws/T9+OA1xQzODfGQr52rj7loZmMTk7jntq2YXV2CnFBzON77qfAjcr8FbN4WfKx9bux7qThx4gRqamoyugs33daik5OW6Mle7gQsJ30jYxknDMkS6t4ro9heKvg0J4s68foYn5zBzooN4K6MY7N8PYoK83Hhyjh2VWzA1GwWro0L650H+BtYt2Y1SjcW4NzwGLaXFiF71Sr0u29gd/VmXBubgi8rB1uLFTh/eQwVGxmsy1+NnmsT+GDVJhy3dOCrB/aB63oZ3NVxbCxch43ydTh/eQw7yzfgpi8bV8YmhR+I63ToyZabPyEcs7Y0zPLFBwEIoT+T8Zmamgr7ez506BDOnj2bsUIdDbQWPX3JaLGW5WRlpDAkQ6h3lSvw8xM/Q0lFNZynT5FQp4kDml23fwJDfT0o231nyPrYOfcSJoxRh1oV8ZZwTBg/A9kXn5V8lefn5yf8Wbt2TUTBJpaGtrY2bN++HW1tbcudlIwho8V6cyEJQ7xCPeQex957voBfvfInKG/7FAn1ItdH77VRAIk7oNm2hQEAMGtD18fFuXtN9xzDdKkW0+d+LPzlLJgu+gSmr3RhWrZZOGbiGqZXKzE9+DtMb7ob0xeexXTZ/Zg+92PMlmvgfePvMTXwe0ydOYopzoKp3l9g6t3/xNTQ65g6/Timrr2NH/39fdimrMKPHvs8pq44MPXWE5jqP4mpc09h6sKzmLr0Isbf/DfMzMwG9aiWqqxkQdu/fz/OnTuXcPe1/1IyIjwZPcHsP3/+Bj64rYKEIQ6hpq7vpa2PCf4aHvr0bfj3Y39A7S5l3PVx+nwfvvypW/Hb0070eW4GrY9s+KD//F1JmfBWUrwZzpP/iJzVipCz171Fn8eG6ttwzfl7FIz/KWxwkaWarBYNU1NTYV8evF4viouLMTQ0FHnyUISQpMmaiJWsSXjRXifdJrwtNTQbPAJiAT3/6juQK4pIGEiol70+/vCbEyi55U5sLS6QgqTsKGEEi3p6Es26BvRf6kVpeRV+8JOf4crYLLaXynF5bjJZxYb1ODPIw+n4PT6vuT9kfeT6pvCFj+6C6Vd27N5aGrI+3um9iooN+SFXRRz90Y/xwk+P4pGvfwPK2+qxo4RZ4GdgXV4OdPs/lrRZ7tnZ2RgcHMT69euTcr1EmJqawoYNRZiZmU3K9XJysnHt2khIwY5W+COJ/lKLNS0lCw/NBo+STBUGEurUqw/Tv/8Lhvv/OmKbHejrxf6P3xpyf0UVi1133ROyPmS+LACAcktB2Ppgi5mwqyK++KVD+OpXvxJQH54bM7ilciPOD3qgKMhH0frVaPnJy1BuXh/WIdCG1T7cd9cH8IOfv4HamnKhPiZvQrmlQAqSsnoV8PEPVWPLli1J+/0nSl5uLtyn/gY57ANAbwdQ/jlg+BVA8WFgoh/eiZso3qPH0KkWFFR/HBh4Eag8CPT+FKj6InDxGFD6acxcfh0bP/IdyOXyiPeM5K89UhzypZ4xT2FNk0dGW9Y/+PkbuP0DbMYJAwl16tXHhT/9Bnv21gdY1KtX5WBj4Rq85RyC8X98CQN9vdhUUoG2Yy/AO+kLsKiLmbVYnZuDDstxHP7ql0PWh+NsH/T31uL518/AM52dEvVxY2IMn6qrwSunnbjuWxW0Pt65eBVfrf8A+FcfhazyXuDqH4GCbfNcBb8JbPkE0PcLoKpBEMXKBqDvl8JkOfebQWavvwaUfhq4dEwQ0N6fAhUHBWHdeOc8T3EDgPzDwPDLmCm5Fztq6zF42Z2UZ1LJlo04Y/0n5KyrCJoPr+IzKK75GIb+8uLcuvaF+ZjepAZTeceSDBUMDQ2hpKQEg4ODUQV8WezrpCsZ0Q3e2toKlmXBcRxYloVGo4n6XLGATnafwY2sNQseRK/8+jjM//6v0H/jb/HRu/evOGEgoU6/+rh6ZRj7P34rXnz9HdyUrYu7PkrWZ0Nduw1Hf+1A3fbylKiPd5yD0N9bC8vv34Fv1Zqg9bFty3p84a9uxeXhy5F/4EvEhs1b8IvfduGK90bQde1vOQfw3z5/Byy//TMms3NDrmufuDGFL917F65eTny4IDs7GzzPJzxUsFRjzZnuyGbFd4Pr9XpotVqo1WoAgFarBcuyUKlUMV3niuc6cvNzFzyINihVGO7vxU7VRzJSGEioU68+rowJY6PeSR9k2fHXx4iLBwDBek+R+tg+tyxtfPImdpeHro9/fe532FZSAOewF+vy5uojSHzwAdf70cze6xd8r+euEpzC7Cqbq4/rUyEd0ExM3sQQP4GdpXL0XB0N6YDmlooNuOK9MbeuncG7/W5UbGSk+qjeKAjYNe847thdirODPDYWrpPqY2f5BtyYmsG1iRn8+g9voueKJ6QnxUpmFfbV7cB//caOW6qKF3hS3FHCYMQ7gfvuqMHY2BhycnISesb+4z/+Ix5++OGIx0UKkbp169awhtTExIT0N1jQmMUg0rh+qpKWYm02m2EymaTv9fX1MJlMAduiwe3x4oMbCtF9tg9bmDXwTV/Hn85dRuvffAkA8N8fPoCnj72AP5/vx/o1uchDFuxnrkK5pQBunseAawLD776GdWvuXVHCQEKdevXh74BmWwL10Ts8AgA413cZm7cUp0R9nHH2AgCK168KWx+7KotwYcgLZt0aqT6CxQfPzpGhaq4+qjYzUn3srt6EkdEbmJj2YWfFBpwd4LFZvl6qj10VGzAxeRNXx6axu2oTuCujWLdmtVQf20uLBM99V0axu3oznnm6DbV71ajYsB7dZ/tQzKzFzNQE3rrkRbk8F19t+CwA4PG/fgDf/Y9nsbmIgcyXBcfZK1BuKcCIi8cQL6yhb/vJT/Cp+zQhPSm+d14oo9KCPJy/PBbUk6LnhjAzPZx4LjUXLlyIygHLUnaB5+RkY2hoOKRg//SnP8W//Mu/4G//9m/xxS9+Me77jI+P48yZM9ixY0fIMvB6vVFfL+26wW02G7RaLdzu98eKzGYzjEYjnE5nVNdIZiCPkopqPHns5RUlDCTUqVcfzr5hNHzigzj1Zw6XPDdD1se513+Dst13glmbByY/D+cGeWkyWe/wCL7/3x9E/6VebCmrwI87X8Al1yQqNq5DdlYWeq6MYnspg6ue6/j9yRfxlUceTkp9vPLCMRz4wgGcGeBRviEfOdlZ6Lk8iu0lDPqvjOBvv6LB5YFL2Fxagf9o+xmK5IU4P+jBtpJCjN+YxlXvddSUMGjvPIZ7v9CQEvUx5B6H7sBfYfBST1KeI8VllXju+d/i7IB7QX30DY/g21/VYHjgEjaVVOAHP/kZFEwBLgx5sa24EN7rU3CN3QC7aT3u+3gtRmMQgFBsKd4C49M2bJHnC7+PQR47SuZ+H97rUORO4t67bsVTz7+G7crKoD0cfVe9+H8O/hWuXh5KQgmtbFbkmLXFYsHhw4cDxDrYNn8mJycxOTkpffd6vSgvL8cTz7wEZfkWrM1bhQvDXtQUF+LyCI9vfrUBVwb7sLmkHP98tAMlm+Q4M8BDubkAUzdnMOieQE0pgwHXOLp/b8ODX/oS3u13o3LDnDBc9mJXqTzorNZgDX97KZMyXXvJ8C19Y2oGg7zgCSuRICnBlgPFEnZ0JdWHx+vFw5+qxZO//COUpZtD1sd9+z6C4b7ehH9nFVUs/vFHv0xKffyPL34al3q5hNNUWlGNY7/5Q0rUx/TMLN75w4so3nUHthQKk/ucl4UufX5sEsNuD77/Pw6h/1IvissqYH72BC65p6DcLLw4DXsmUFPCoG9kDIavfAHD/ZcSLh8AKKmoQvuvXsF7/Ty2binA1M1ZDLjGsaOMQf/IOLKzgBJFPt7r51Ex9+LEXR7FzlIGV703MD55E+yW9Tg/OBpSqLeXMnjbOYiv3lOHk11ncNFzM2R9lMrX4N1LLpQq8pG7KhsXhr3YWcZgZHQSo9enoCwuEFYPrFuNwrUynB30YFtxASYmZzDMT2BHKYPeq2PIW5WDzcxqvNfPg920HrM+4SVtR5kcw/wEbs7MomLDOpwZ4FHM5GN1rnCvHaUM3GNT4Ccmsa24EOeHPHC88mt8+jP34NygB+zm9bgxNYvLngnUlBTiwsA1/P1fP4TLA33YWFyG//ivDqxduxa9V8ewvbQQVzyTmLw5g8oN+Tj46Y/D6x5JSr1FNWbvSzNMJpOPZdmAbVar1RcuK9/73vd8AOhDH/rQhz70SbmPx+OJqH1pN2atUCgWbON5HgzDhDynubkZ3/zmN6XvomV96dKloG8zyRqzIIhk4fV6UVFREbLNRsvw8DB27NiBM2fOpMya5VRMUzJIVp0BqVdGycxbsoj2uf3Tn/4U9957b9B9ExMTuOeee9DT04Pq6mr8+te/DrkM7le/+lXY+/z4xz/GE088gW9961t45JFHgh4jlmNUJGzqLjFWq9XHMEzAtmDWdjg8Hk/UbzMEkQokq82mYttPxTQlg2TmK9XK6KmnnvLV1NT4nnrqqeVOikSyymhwcNAHwDc4OJiklIUmljSnXSAPtVoNnucDtvE8Ly3jIgiCIBaXlRyO1Gq1oqamBlardbmTEkDaiTUAaDQa2Gw26bvVaoVer1/GFBEEsVJYydGyVjLJiuCVqi8iaSnWnZ2dsFqtMJvNaG1thV6vj9khCkGkE/4+nYnFJVnhH4nk0tbWBq/XG/QzNDSEvXv3AgD27t2LoaGhkMem60tY2i3dSgaZ7uKOyFxSse2nWpqWOjLVUl8rXVmJEbxiqde0tKwJgiBSnWT2hlDPihDBy+PxBP0MDg5CqVQCAJRKJQYHB0Me++ijjy5zTuKDLOsMfUslMpNUbPuplqZUSw8RHekYwYssa4Ig0gayGolkIPrfjsYXeTpCYk0QGUQqCmOqzb5N1qxiYmlJxbadTDKyG9zj8YBhGPT19VE3F0FkGJE8WH3605+WPFi9+OKLcXuwIohIiN40eZ6PGFwqI8W6v78f5eXly50MgiAIgkBfXx/KysrCHpORYj07O4vBwUGsX78eWVlZy50c6e2KLP3QUBlFhsooMlRGkaEyikyyysjn82F0dBQlJSXIzg4/Kp12gTySQXZ2dsS3mOWgoKCAfhwRoDKKDJVRZKiMIkNlFJlklFGk7m8RmmBGEARBECkOiTVBEARBpDgk1ilAXl4evve97yEvL2+5k5KyUBlFhsooMlRGkaEyisxylFFGTjAjCIIgiHSCLGuCIAiCSHFIrAmCIAgixSGxJgiCIIgUJyPXWS8Hra2tYFkWHMeBZVloNJqQx/I8D7PZDACwWq3Q6/Vhj18pxFJG/nAcB5PJBKPRuMgpXH5iLSOxbPbs2QMAUKvVYBhmCVK6fMRaRq2trWAYBjzPx9Tu0hWxTSiVSuh0uojHx/u7TGdiKaMle177iEVHp9P5rFar9F2j0fjsdnvY40XcbrcPQNjjVwKxlpE/arU6oMxWKrGWkdPp9KlUqoDjjUbjoqZxuYm1jOaXh9FoXNG/NavV6uvs7PSp1eqo2kIiv8t0JZ4yElnM5zV1gy8BZrMZarVa+l5fXw+TyRT0WI7jwHEceJ4HADAMA7VajZaWlqVI6rIRSxn5Y7PZwLLsYiYtZYi1jAwGA/R6vfS9ubk5KksqnYm1jLq6ugK+q9Vq2Gy2RUvfcqNWq6HRaKLuXYn3d5nOxFJGS/m8JrFeZGw2W9BKD/dA6O7uhsvlkr6LXVArlXjKSITjOCiVykVIVWoRTxlZLJaAB61KpVrRXeDxlJHD4ZC6MAHht6dSqRYjeWlHIr/LTGKpntck1ouM+Mblj0KhCKhcf1iWhdvtDrAWbTYb6urqFiuJy06sZSRiNptXvKUoEmsZORwOAMLLjMVigdlsDhCllUg87UjsfdBqtXA4HOB5PuAFJ5OJ93eZSSzl85ommC0yLpcLCoUiYJs4mSUaHA4HXC7Xip48FU8ZiZOBMoVYy0h8s+d5XprsUl9fD4VCsWInCMXTjnQ6Hex2O8xmM2w2G06ePLnIqUwfEn12ZSKL+bwmy3qRmd/YAeEBGm135OHDh3Hy5MkV3X0ZTxl1dHRklAUUbzvy79Ktr69f0XMf4ikjs9mM+vp6OJ1O1NXVoba2lrp550j02ZWJLObzmsR6kWEYZkG3UbA31mAYDAYcPXp0xY+hxVpGNpsto4QaiL2MxF6H+b0PK3nuQ6xlxHEcrFYrNBoNWJaF1WqF0WiEwWBYiuSmPIk8uzKRxX5ek1gvMmq1ekG3UTTjYmazGY2NjVLFr+S3/XjKyGKxoLW1Fa2trWhvb0d3dzdaW1tXbBddrGUktht/cR4ZGVnRQwexlpHD4ZDWn4s0NTUtVvLSjnifXZnIUjyvSayXAI1GE1B54sJ5EYfDAYvFIn0Xj2UYBhzHweFwSBOGViqxlJFarUZTU5P0UavVYFkWTU1NK7qLLtZ21NTUFHC8w+FAc3Pz0iR2mYi1HVmt1oDzOY5DY2Pj0iQ2BZnfhiKVZyayXM9rirq1RBgMBiiVyqBekgwGAxwOB6xWK3ieh1wuX3C+0Whc8W/90ZaRP62trdK6T71eT2U0r4zELt2ioiIwDJMRs+djKSOHw4H29vaA5X8ruYxsNhscDgdaWlrAsiwaGxulYQAgdBsKVZ4rkVjKaCmf1yTWBEEQBJHiUDc4QRAEQaQ4JNYEQRAEkeKQWBMEQRBEikNiTRAEQRApDok1QRAEQaQ4JNYEQRAEkeKQWBMEkRRWqvc4gkgFSKwJIg0xm82ora2FXC6HwWCQXK+KDiyW2r81z/NBg4RwHAe9Xi+lz2w2g+O4qF3DWiwW1NfXIysrSwpj6U99fT3kcnnGe9UiVj7kFIUg0hStVguFQiF5cBNxOBxSsBOtVguTyQSTyQSj0QiWZdHa2gqWZcFxHFQqFdRqteS1CYDk6cxsNktBG1wuV1jPXmazGXV1dQFBDMxmMzo7O9HZ2RngBlZ8qXC73VG5hxW9RHV2di7wnsXzPMxm84r3XEcQ8BEEkZYwDOPr7OwMuk/crlarfVar1ed2u6XtTU1N0nFqtdrndDp9KpVK2qbRaHxWqzXgOKPRGPJe4jn+2O12HwDpvvNhWTbkvmCo1WqfWq1esN1kMsV0HYJIV6gbnCDSEI7jwPN8gCXrH3BB3M4wDFiWlSzYrq4u8DwPm80Gm80Go9EIi8USEEmps7MTVqs1wF+2GEIyVFrmR68yGAzQaDQhLedY/Uvr9XrYbLYFXedOp3NFB28hCBESa4JIQ2w2myTEgDC26y9k/qEw/eMP19fXAxAiTokCzbJswLk8z2PPnj1wOp3SNo7jpHPnYzKZFoivzWZbIOD+NDc3B4gsx3EwGAywWCxSoAR/xOt3dHQEnBPuHgSxkli13AkgCCJ27Ha7NP48MjICs9mMnp6egGPEUH3+Y7pqtRocx0nj0QzDQKPRSJO+RJEXt80PlxgMjuMCXg5E4Q9n8c7fV19fD7vdLqVHqVQGvCwAQjQsk8kkjZ1bLBYaqyYyBhJrgkhDbDYbDAaDJFxiCEx/VCrVAsEDgoeADCZ60Qihw+FYYHGL6ZjfZS1OBvPfr9Pp0NHRAYZhAtLPMAwcDkdAN79er5dmk7Msi5GRkYjpI4iVAnWDE0SawfM8OI5DXV2dtM1fgM1m85KlxWQyoaGhYcF2tVqNrq6ugG0Mw0gvAHq9Hmq1GgzDSC8UFotF+jQ3NwdY64Dw8sGyLEwmE2w2GxobGxcpVwSRepBlTRBphjiRzN/qFK1Sh8MRIOLBUCqVUpdzMgh2HaPRiNraWvA8v2C/mD5RjJVKJWw2W1STzjQajfQyYjQaE0s4QaQRZFkTRJphtVoDZm+L8DwPg8EQIOLBSJZQiw5LgqFSqWAymbBv374F3eH+s9YBoVdA7C3wv7b/dxG9Xg+e51FUVJRw+gkinSDLmiDSBI7jYDKZ0NHRIU0uA4CRkRFpMlg01mayLGqr1brAIYs/Op0OarVa8qoGCEvH6uvrF4yb2+12GAwG1NbWShPf5neDA4I1rlarY176RRDpDnkwI4gViM1mg1arRWdnpySYouVdX18vrZm22WxgWRadnZ1hhXc+4rViOYcgiPghy5ogViBqtVrqXgaEcWHRmhW70EUnI3V1dQFrsaOho6OD/HETxBJCY9YEsUJpbm6WgmsEE2OdToeRkRHU1tbGHPjDarVGHBsnCCJ5kFgTxApFHPcVXX/Ox2w2w2g0wul0or6+foHXsFCIHs4Iglg6aMyaIFYwDocD7e3t0sQzjuOg1WoD1iiLEbjIGxhBpC4k1gRBEASR4lA3OEEQBEGkOCTWBEEQBJHikFgTBEEQRIpDYk0QBEEQKQ6JNUEQBEGkOCTWBEEQBJHikFgTBEEQRIpDYk0QBEEQKc7/D/7RsB+ZKW6kAAAAAElFTkSuQmCC", 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", 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", 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6HMeB53loNBo5r0FdXV1QJLe2tjY5nXsyU+ASBEEQBJE81sSiIYVTdjqd4Hl+2edWqxW1tbXIysqCUqmE0+kMEhkGgwEajQY6nQ7Nzc04c+ZMUNp5giAIgiDSgzURGlqtFjqdLmKseZfLBYfDAUEQloU9tVgsQUmVGhoaYs4mRxAEQRBE6klbZ9BwiVvsdntIgWK321NcIoIgCIIgYiVthYbVagUAdHZ24siRI7IPRqipFpVKFTFF9czMDGZmZuT3Pp8vuYUlCIIgCCIkaSk0NBqN7Pyp0+mgVqvBsiw0Gg3cbjdUKlXQ/gzDhBQgEq2trfjOd76T4lITBEEQBLGUtFzeqtVqg6ZHNBqN7IOxVGQAopUjkr9HS0sLvF6v/Orv7092kQmCIAiCCEFaCg2LxRL0nmVZdHV1ARCtF0unSUJZOQLZvHmzHJyLgnQRBEEQxOqRdlMnHMfBYDBAq9XKDqE8z8v/a7XaZdMkPM8HrUIhCCJ1zM/PY2FhYdXOl52djZycnFU733piJWsuQaQDaWfRYFkWJpMpaNWJ3W5HS0uL/F6n0wWtMrHZbDAYDKtaToLIRObn57F7zx7k5uau2mv3nj2Yn59P2TXZ7XbU1tYus6SmOxaLJci6a7fbYbFYYLfbg+6PTqcTbW1taGtrg16vD+vPZjQaI/q6pSNtbW1rXQQiCtbEoiEF7LLb7eA4DoAoHiRxodPpYDQaUVRUBJfLBbPZDI1GI3+/o6MDRqNRjiAqBfAiCCK1LCwsYGhwEK+8exWXRyZQocpD7qYcXB7x4lCFEmPj0/DdmsXe0kL0DPEo2r4FhdtycWmIR01pIaZm5jDMT+FguRK9o+PYsikHu5ituDjggXpnARYEAX2j4zhYocIIP4npmVk8/LHbsLCwkDKrhlarTRuLaLQWCqfTCZVKJd8z7XY7Ojo6YDabwXEcGhoa4HK55M+kWERtbW2or6+Hw+FYdry2tragB7q1Jpq6aGpqgtFohMlkWp1CEXGRJQiCsNaFWG18Ph8KCwvh9XrJX4MgYsDv9yM3Nxc/PPcuqnYxosgY9uJQ5aLImJrFvrJCdA/yKMpfFBmDPGrKFkWGZwqHKpTgboxji2JRZPR7oN61KDJujONQpQrDnkn45xdQzmzBnfvLMDs7C4VCkbLramtrA8Mwy9IhrCYcx8Fut0dVBr1ej46ODvm9Wq2Gw+GQB2YpNYPT6UR9fT08Ho+8Xa1Ww+VyBVmNrVYrjEZj0DHWkljqwmg0wmAwhI29lM5kyliUdlMnBEGkP7IlI4Uio6o4H+8Netb6UleNaJ/KA33WAHFQdrvdYBhGTusgfa7RaHDq1Kmg7wLBq/esVmva5YqKxULR2Ngox10i0pO0cwYlCCL9WQ2RcXHAgzImL+aySQkbjxw5ArfbjRMnTsiDsN1ul5MxBk7XAuIgLE3n2my2IIuBNN3Lsiw6OzthMplgt9thMBhgNBoBAGazGQ6HI+y+gU/eS89ht9vR1dUl+1wEOsMvpb29HUeOHJHfS9MoVqsVWq0WFoslKNFkoIg4c+ZMUPiAWJxJQ12XZAnRaDTo6OgAz/Oora2FVquF2WxOWl2oVCq0t7eDZVnwPC8fCxDFlNFoXJaqgkgfSGgQBBEzl0e8OFy9M7UiQ5mHTVmxrW7heR4NDQ3yFIDRaITFYpH9vmw2m7xvbW0tzp07Jw+0nZ2d8mDV0dEBp9MJjUYDjuPkaQVAXE7f1taG5uZmaLVaOBwOmM1mqFSqFfcNHFADzyH5iYTKZr0Ul8uFuro6+b3b7QbHcbKAaGpqglKpxNJZcZ7nYbVag/wz2tvbo5qeiHRdbrdb3i7VeVNTU1Lroq2tTf5MOlYgkSJDE2sPCQ2CIGJGdvxMocjYkpuD9/pjmzqRnnol8SA5N7a2ti5zGGdZNmigDbQSBMbrkURE4EqOzs5Oeb+ioiIA7zuxh9u3qKhI3nfpOWJhqRVCul5pm/RXGrglJKElfW6323HixImozhmpDiRhYzabg6ZtIn0n1rrQ6XSora0Fy7JobGxcU18aInZIaBAEETNj49OY8gspFRmXh704WK6MqVxLB+FkOTYGPk0DCBrolk5xRNo3WiJNaSxNuRCNE2RbWxuMRqM89SDR3t4u/89xHFpbW9HY2BhyFV+k6zpx4oS8PDhwe7LqQqVSwePxwOl04syZM9Dr9UHWKSK9IWdQgiBixncrtZaMy8NeHKxQwjMxs3JhAtDpdHA6nUHb7HY7Ghsbl2V4djqdUT3Rh/pu4PvAJ/GV9o2WSN9Rq9VyWABAFBp1dXWygJBWnEhiwWq1QqPRyCKjvb0dDMNAq9WiqalJfgEIGypgpeuSlpgGOpkmsy5aW1vBcRw0Gg1MJtMyERYpMjSx9tDy1g28pIggko20vPXVi1fB3ZhMOE6Gf34Be3aIq0vKmEWRMSJaMjwTM7jpm8Rj9R+IaXmr3W6HzWaTp0Ik34WljonSk7vT6cTJkycBAKdOnZJ9C6RBjWXZkMfs6uqSp0qMRqP85B5qX47jVjwHx3EwmUyyM2U4S4Xk7Bq4MoPneRiNRtTW1sLhcMjWC2k5ayAMw8jLXaXvWiwW2bcinNgIV68Ser0ep06dCtqWrLqwWq1gGEbO1K1SqWQnV8nJdz06g2bKWERCYwM3LkEkm/n5eezZU4XBwYFVO2dZeTmuXb1KYcgDWBpHI5OhOBrpT0b7aExNTWHTpsSqYNOmTcjNzU1SiQgivcnJycHVq32U62SNMRgMaRn/YrWRpovWo8jIJDJaaJSWliZ8jJycHExNTZHYIDKGnJwcGvjXGCleRqYnVWttbaXw4+uAjJ46GX7tH1BUWQuMvgKUfxK42gFUfw7ofQbYowcGfwUU3w2MdwO5SiA7F5gaAJR3ACPn4C/5FPJK78Dk5CS2bdu21pdFEESGkelCY71DUycZgII5AAX/GlD1IHD1DFDzBaD3x8DeR4DBXwBlHxNFRl7x+yJj5xFgxA6wOuDyj9f6EgiCyGBIZBDrgcxe3nrzNaD8AVFkVD8qiow9jaLIKL4njCXDDlR+Buh7VrR+EARBEAQRloy2aKDs4wmIjEeTatGYnZ3F3Nxcwsch51SCIAginchsoXHtBUBjiE9k9D0LVB4D8D8SLsbs7Cy2bduK+fnEPfnJOZUgCIJIJzJbaOw5kYDIeAjofzEpxZibm8P8/AImX38Cir2LzqhVDwP9PwVK6gHPBWBbBbAwC8x6gPz9IR1Y/WWfQV5ZLebm5khoEARBEGlBZvtoXG2PX2SM2AHVHUktjmLv56AY+AkU+x6FYuQXUFTeB8XEO1AUVkGRswCFMA6F6jYo+NegqHoQiqHnoaj5gvidvY9AceO3K57j9OnT2L9/P06fPp3UshMEQRBEKDLborH7WAIiQwN4+5Jbnt5ngH2PAv3/CpRow1gy/hDBgfXuFU9x7NgxPP744zh27Fhyy05kDPPz8xSwi6CltUTUZLZFY+i38YuMqQEgO7rcC1FT9XACImPxOggihczPz6Oqag9yc3NX7VVVtQfz8/Nrfemrjt1uR21trZwVNVnU1tbCarUmdAyLxRKUTM7pdKK2tnbZfk6nU05yx3FcUMI7KceJlGclMKvseqCtrW2ti7BuyGyLxo67EhMZOWKAlampqYSKIX+//6dA5X3xi4zc2FJqE0SsLCwsYGBgEJPDF6AYtIr+QX0/ER2jR14SpxOl30euCvD1AMV3AYO/FoPg9T4jfudqB1B+PzD6GlBQA8y6gQW/2O/dF4CSe4H+F+Av1yGv5DAWFhbW1KqxFk/vWq0WjY2NCR9nadlNJhPq6uriPp7T6YRKpZLDflutVrAsuyxrLgCYzWZZKGm12qD8LA0NDXA4HGAYBk6nE0ajEWazOe5yJZNo2rupqUnOWktEJrMtGhOX4xcZuSpkT1zG5s25KC4uRl5eXtyv4uJibMndhOyyBCwZ0nUQxCqgGLSK/kGDHVCweijGfgfFriNQ+Eeg2LwVirydUNxyQVF2FIobvxV9iAZ+In5n6Hkoqj4NBd8JRdEhKAQfFDmC6Is0/rbomzTyc9FXaeDMWl8qOI5De3v7WhcjLkKVfWnW1VhpbW0NyrGi0+lCZnsFROuJx+OBx+OBzWaTzyuli5feazSapFtu4iXa9pbKznFciku0/slsoaFg4hYZ8HUjp+QeTL7+LcyOXcRs1xPiX+d3MHv9Dcz+6X9h9tpvMHvlWcz2/AizA+cw+/ZTmL3hxKzjv7//nZvvYPbCdzHR/wfk+N5OTGRMrV5GTSLDqf7cir8PFH8UGPyl2F97fyz236tngPJPAaOvAgX7l1gynOK0Yf/zQNUj4neqHl7rK13XT6zJLjvP8zEnMGMYZpmwCTdNEsoqstrEUmeNjY0JT0NlApk9dZKAyJBuojnsZ5HT+2MxfPnVM0DVp8WbaNEh8SaaIwD5VeJNtPI+8Sa6b1EwSI6fiU6XBF4HQawGfT8BWH2KRcYjABfbTdxut8NgMECr1aKhoQFutxsOhwMmkwkMw8ifG41GAKJp3+FwwOl0wm63g2VZcBwHnU4HlmVht9vR1dUl+yNotVp5miDc/oFpyzmOg81mWzGlu91uh9PpBMuy6OzsDDvYWa1WMAwDjuPgcrnk/XieR3t7O1iWBc/z6OzsRENDw7Ky8zyPkydPwmAwoKmpCYD4RG42m3HkyBG43W6cOHEirMWjvb0dR44cibo9eJ6XB+LOzk65XjQaTZAlQBIYgX4fK9WP1WqF0WiERqNBR0cHeJ5HbW0ttFqtPAUT6nuR2ihUe6tUqmV1K9W7RqOB0WhEc3Nz1HWSiWS20Lg1CJT+u7hFRsI30UQdP5eKjCTF9SCIFak8tkq/j3oA34q6WFqtFjqdDkVFRbJ532q1Qq/Xw2azQavVQqvVwuFwwGw2Q6VSyU6JNptNPk5tbS3OnTsn769Wq4MG5pX2DxQXHR0dcDqdYacXpOM5HA4A4mDb1tYWcvDS6/VwuVzQarVBqeItFgs0Gg20Wq18jFBlBxDk98HzfJCvhOScGW7gdLlcMfl3NDU1yaKFZVk0NDTA5XKBZVmYTCZYLBacOHFCFh0qlSqm+pGEJAC5/EvbKdT3wrVRqDpra2tbVreBhBNHxPtkttBgPrhxRMaIHah8ELHclAkibkZeAnYdSf3v40ZnXMULfCLX6XTQ6/Wygx/DMCgqKpI/k56KA2FZFu3t7UEDtITZbI64f1FRkXx8qSyRBiNJ8Eh+C4D49B8Kj8cjWzTcbrc8QOt0OtTW1oJlWTQ2NoYsdyikJ3WpvlpaWiLuH6tTLMdxcl1J1gOO48CyLJqbm+X30iAealomUv00NTVBqVTCbDYvm9aJ9L1Y2ijeuiXeJ7OFxvV/Aw5/foOIjM9QNlli9Vi2uiSFv48UEKufgUSiSzCl6RypDNITdeATM4Cwg1lra6tsrQm8BpVKBY/HA6fTiTNnzsgWnKVlD+UrEbhtJRHBMEzUdeB0OlFfXw+PxxO0XbJaSIJD2lej0YQ9f6T6OXHihOxIurTeoq3XcPA8H1XdEpHJbGfQik9tHJFB2WSJ1WQ1fx9xEDgYWq3WZSstAp9eGxsbg556AXHgO3HixLLj2u32mPZfis1mg8PhgMPhkEVGqOMFvpeuRfI3aG5ulv0FpO2tra2y9UDyRwlV9qXH1Ol0yxwwl5YlELVaHXGVRWC9S9MjgcfV6XRy2Wpra+X9zWZzWL+UlepHWmK6dNplpe9FQzR1G2q6hwgmsy0aV8+KSdU2hMhIbjZZgoiEfyEbyCoAxi6KcTL6fibGyej5oSh4rzwrxskYOi/GyZi88f7v43qnGCeD6xBXlfT8UPzLWUWfjBud4n4zU/BP3YyrfC6XC3a7XXbekwZ1u90e5CCo1WrlAaStrU12Guzo6JAHFIPBIPsTSM6g4faXnnoB0V9EClJlNpvBsmxIS4p0fqPRKDtaarXaZceqq6uTHVoB0V9DOm5RURHsdjtUKhXcbrfsh7G07NIxVSqVbBUxm83Lzh0OydEycHmr3W6Xn/BbW1tx5MgRWVDU1dWhra0NDMPA5XIFOcVKjplutxt6vT7secPVj4TkXLr0+9HW69I2WlpnHMeFrFtAFJgNDQ1h64sQyRIEQVjrQqw2Pp8PhYWFuNn7BorGf70xREbfs/CX/Dlyd2owOTmJbdu2Rbx2r9eLgoKCVa55Yr0zPz+Pqj27MTA4tGrnrCgvRd/V/qgDdhmNxmUOkETy0Ov1K66iyRQCV6/EQ6bcjzPbonHtrOijsQFERjKzyRJEOHJyctB39RrlOslgAle7ZDLStE+8IiOTyGyhUfGpjSMyUpBNliBCkZOTk7YDf+DUSF1dXdglpUT8aLVaWCyWjE+q1trauq6Dua0mmT118up3UaQ+ukFEhgZ+bx9yax6nqROCIFJOpguNZJAp9+PMXnWiPJxykXH6n/8J++/7Dk63v5hSkZGSbLIEQRBhIJFBREtmC41bQym3ZBz79KfQww3i2J/tT73IyKVlVgRBEER6kZDQ8Pl88v/PP/88nn/++YQLtKpkbVq9OAD5+1IvMnw9a1ufBEEQBLGEuIWGFI3N6/Xivvvuw5kzZzA2NoannnoqmeVLLbnKVfDJ4MVz3fxjikVGtxjPgCAIgiDSiLhXnTQ2NuL48eO4cOEC7HY75ufnAQCnTp1KWuFSzvgVoObjKXb83Ceeq/QTKRYZHxWDJq3A5OSk/HcjOx8RBEEQ6UHcFg2lUglAXE5WX18vbw9MVJP27DiS+tUlN/8onqv/+dSKjMFfipEZIU5phXoNDw/j6NGjAICjR49ieHg47L6nT59eq1YhCGKdk2hOGGJjEbfQcDgceP7552E2m/HlL38ZAHD27NmIcfDTjiFb6pewln5CPJd0npSJjEag9xkAQGlpKQoLC5e9ysrK4HK5AIghmsvKykLuV1hYiCeffHKtWoVIc+bn5+H3+1ftJVlLifex2+2ora2Vk4kli9raWlit1oSOYbFY5FwyHMehra0NVqsVbW1t606AtLW1rXURNgRxC41vfOMbGBsbg9lsxkMPPYRz586B4zgUFhYms3wpxV/6APw9P4S/4mH4rzwL/86Pwz90Hv6tavgnb8A/cwt+RQn81zvhL/oY/FwH/OV68Tvlevg5K+aL/yxynIz+RQfZq2cSEhmn7Tew/65GnP7XVyM4sIpJ1YaHh+H1epe9hoaGoFarAYjJkYaGhkLu5/V68cQTT6xVsxBpzPz8PPbs2YPc3NxVe1XtqUobsZEuA6VWqw3KuREvS6/HZDJFzHWyEk6nEyqVSo6Wqdfr0dzcDJ1OB51Oh5MnTyZS3KQSTVs2NTXBaDSmvjAbHSED8Xq9AoCkvMpKdghz134uCP0vCILrB4Jw41VBeLdNEPiLgvDWtwXvwAUBgOC99oa4/car4n79LwjC4K8E4bJFEG52CsKfWgXBe0kQ3vrvguC7LAhvf0cQPO8Iwnv/IAjXfyd43z4lHqfnp4LQ/X8EwX1BEN75rrjv4ndmnd8RAAiTk5Nhr31oaEgAIAwNDa1SbRMbidnZWQGAcMl+Sej8505hZnpGePm7LwujrlFh6J0h4fxT54WZmRnh1f/9qnCt85rg7ncL9m/bhempaeHCMxeE7he7hQnPhPDbJ34rTHgmhO4Xu4ULz1wQpqemBfu37YK73y1c67wmvPq/XxVmZmaEl00vCwCE2dnZtb50weVyCWazea2LIWMymRIqTyquR6fTBR1fo9EEfc4wTFLPFy+xXHtzc7PgcrlSUg5pLPJ6vSk5froQt0Xj6aefDnp/9uxZnD17dl0tcTX/7I/4VSeHP743iH+2/wnn/9QPm7MPP3rpXbzRPYSOV7rxwmuX8dqlIfzA/ie8/NZV/O7ta/hn+5/w2qVBnP3DJQyN3MTC3Ez4YFxXxSyBGP5NcoJxjV+OsErm/hWvOS8vL+gvQcRD2eEy7KzZiffa38PHWj6GS+2XsK1wGw48cADOf3Lirr+8CyOdI5gZm8GH/+OH8dpTr+HwicPw837ccN7Ax1o+hjf+4Q1U3V2FwpJCXPn5FfzZt/4Mb//gbSgrlag+Wo23vv8WPvpfP7rWlyqz0cJNJ/t6eJ4PyvshZTwNRKVSLUtLvxbEcu2NjY0JTydlOnELjaVmp+PHj+P48ePrykejKH8bipXbcfn6BA5W7sCckI0bE7M4XLUTg/w0tm7ejMpiBpdHxrG3TIXc3Fxcdd/C4eqdGJucwxyyxANFivhZ+ZC4z46PRBQZ865/EadwLv8Y/pI/h7//RfjzD8Pv7YN/Pgv+rHwAgL9QA3/fz+AveyjEtM8ra1STRKbx2j++hp237YSSVeLtZ97G3c13451n3oFimwJ779+L1//xddR9uQ79r/ZjYmQCtU21ON96HgcfOoipm1MYfH0QdzffjVfaXkH5h8uxbcc2vPf8ezjachQOiwPbS7aj8qOVcFgcMZUr0HfBbrfDYrFAr9cv20fyG5DM4tL3pDl5q9UKtVotp2S32+3o6uqCzWaDxWKRU4er1WpYLBZYLBbU1tYCEKcPAv0SpHtiNGULd01LyxsKq9UqHzdwP57n5XNKxwh1PU6nc5nfB8dxMBqNsFqtcn6TcLS3t8vp2KXzhkLy34j2WqW2kOqK53mo1WoYDIaw34lU16GuPVQdSWg0GthstrBlJlYmpuWtf//3fy//aLq6umTHQgmO49ZVWFpm+2a8N+DBvtJCTM/OY8gziUMVSvSNjkORk41SZR4u9rtRtTMf2VlZcF334VClEtf5W5j2z6O6WBz8I0b87F5UwuOXgaKysCJjzwPfx+DQdxdL9j/ClnnH3nsX//v24t8ng95nZ2enzXw2sXG5x3gP/vjUH/GRr34EAGSx8UrbK/jA5z4gi40P/9WH0fW9LlR+tFIWG0dbjuK9598LEht3N9+NwdcHZbFxvvU8aptqUXFXRUzl0mq10Gq1sNlscirzjo4OOJ1OaDQaeeB0OEQB43a70dbWhubm5iCfB51OhzNnziw7bmD6eZZlodVq4XA4YDaboVKp5OMHDky1tbU4d+7cimULRaTyLkWv18PlckGr1QZlWLVYLNBoNLLvhdvtDnk9AILqgOd5NDQ0wOFwgGEYGI1GWCyWkOcGRAfzurq6cE0TdNxYr9XtdsvbpbI0NTVF/E64ug517W1tbcvqKJBI4ohYmZiExje+8Q14vV4YjUYolcplPw6dThe01DUSHMfBbDYv6+gSbW1tYFkWHMeBZdllKYlX+jwauod4aA5UxSUy2J35eLvvhnig0VeAqgdDx8nYId6IkcuEnS5Z2PMIBoe+i986rmBzbq54rnIlRn23MDEzB3VJAd7sGUDTA3fit6+/h37fPA6UMZiY9uOG7xb2lzNwjfiwJQf4zN0HVjWFN5GZ9L7cKwuCVIqNw188HHPZioqKgpbZMwwjDxSSIJAsFQDQ2dkZdz0wDCOfS6fTwWg0LrsvsiyL9vZ2NDU1RSxbKGIpr8fjAcMw4DgObrdbfijU6XSora0Fy7JobGwMeb8NRXt7O1iWlR8eW1paIu6/NMlaqGtzu91hH0YjXWtTUxOUSiXMZnPQFE2k78RS1/HWEREdMQfsKiwsxPe+9z2cPXsWx48fj+ukdrsdPM/D6XSGjLthMBig1+tldanX68GyrPwDXunzaFHvKohbZFwc8KCUWcyQWv7J8MG4ht4U94nkk3H5xwCAzbm5uDp2C4erdmLUdwvT81k4UFmESwM8SlSi9YQbncIdNRWYmPbDPTWH26uKcWXYB2b7Vii3xh1/jSBiYmFuAb0vpV5svPzdl5Ne9sAnVwBxDSqBg2qgX0IiNDQ0yAMhy7Lyk3i05W1tbUVRURF0Ol1QmVQqFTweD5xOJ86cOQO9Xr9sKiBUJtZQwiESDMMEWSu0Wi3MZvOy/SJZPSJdqxSNeun2RNuT5/mo6oiIn7h9NMKJjJVULyB2QJ1OF7bjWiyWoI7T0NAQ1GFX+jxaEhIZym3YtnlxYL/aESEY1+I1Tg1GcPw8BgDiuSoWLRnTc9hbWoBLAzx2Fm5F3hbRGXRfWaFoyfDewoEKBleGfdi+ZROKC7bi4qAn5jogiHhQf1wdJDb++A9/TInPxj3Ge5Ja7sbGxqCnXwDye4ZhMDY2FrQ9nJk/8BiBT8mhju90OnHixIkVy2az2eBwOOBwOGSREam8wPvTEHa7HU6nE83NzWBZNmh7a2srOI6DRqOByWQKed8NdUydTrfMcXNpWQJRq9VBPnpLBRjHcairqwt731/pWo1GI0wmU5CD6UrfiYZo6mipUysRG3E/Ap89exZGoxEez/uDmyAI8Hq9aG1tjbtAdrs94g9hpc9jYcQ7hQ/fVhK3yLh47aZ4oOrPhQ/G5Z8T91EeDr+6pP9FAHh/umSJyNi+RYELPdcBAJPTfkzOC8tFxoAH6l0UUpxYHX7X+jt8rOVjcP3WhZ7f9uCur9+F86bzuOuv7oJ/zg/Hjxy486t34tWnXsXtn70de7R78Mr/fAV3fuVOOCwOVNxVgcNfPIyXv/sy7jHeg/f+9T34X/Hjzq/eid+1/g4f/fpHMfjGIN6xvhNTuaQnUkB8oJGcHM1ms2z1NJlMMBqNsuOi9NBy4sQJ2VFS2m42m6HRaMCyLAwGA0wmk/ygY7fb5QFe8teQji9N7XZ2dqKjowMMw6xYtlCWkXDlXXosaQCXyq7X6+XjFhUVyStA3G637Iex9HqkY6pUKtkqYjabQ9ZVKKT6CpzG7ujokL8v1UU4IrUNALn9ArdFWz9L63rptUvOvUvrSOpTDQ0NYctNrEyWIAhCPF/88pe/DIPBEPTjEAQB3/zmN/G9730vqmPo9XocOXIkyLnIarXi5MmTQQImcNtKn4diZmYGMzMz8nufz4fKykq85OiGd04Rl8joGfJi7848fPRQBSZf+29QqBuBwV8BxXcHrS7x3biMHXf+P7h5/lsoONgI9P1EFCZ9PxEtGSMvwZ//AeRV34efv34F0/NZy0TGpUEeFYU5qNfsxfd/44Rmf+VykVFSgJmZWdz7wT3geT5s4DSfz4fCwkJ4vV7KdULEjBSwa3BwcNXOWV5WjqvXriInJ2fVzknEh16vjygm1iNGo3HZWJcsMuV+HLdFQ6/X44477li2PdEoam63e5mZKnDub6XPQ9Ha2orvfOc7y7b3j02gSFUUl8g4UM7APX4LxTt3Ie+uvwXwtxGva8fR7wKQVpVIK0XeX12yc1cJJmcXsL9CuUxkHChncP2maJ6tKQthySgpwPyCgKs3JyKWgSASJScnB1evXl1Vh+Ps7GwSGeuEwNUuGwFpXEmFyMgk4hYaWVlZ8Pl8y1TYuXPn8KUvfSnuAoWaCwt0Slrp81C0tLTga1/7mvxesmgocrLiFhneqVnwU3785defQMXtH0HBFgVU+VtwaZCHelcBZufm0Ts8hr//+hcweK0PJeW78fSZn+KaexaVRXnIyc5C741xHChjcNN3C797yRZWZExM+zHquwUA4K77sLNIuVxkjE7gUIUy7noniGjJycmhgZ8IiVarleNtrKdQB+FobW3dcIHa1oK4hUZ7ezsMBgMYhpEHf0EQ4HA4EhIa4ZZESedY6fNQbN68GZs3b162fVdh/CJjbHwa+8sZfPV//wOG+//Litc1MngND9yz3AIksadajaOf+ExIkXHDews1ZQwAIG9zCEvG6ARuq1Si7zo5gxIEsbY0NTWlTU6YRCGRkRziFhpdXV1obm5eNsDHs/ojEK1Wu6yT8jwvOwCt9HksdA968IF9u+MWGZeHvHjk5FfwwJ8/iO5BHuoS0ZIx6J7CgXIGVwZu4L8ZTmBk4Bp2lu2G+bmfIi8vD73Xx7G/jMHN8VuYnJkDu6sAz56xhhUZByoYvH1FnBPfkR9aZAyMTWAhLm8bgiCI5LIRrBlE8ohbaJhMppDBuZIxl6XT6WC322XxYLPZgpTlSp9Hy+4d2xMSGQXbcvHwI5/HxX4PDu8tx+zcPK6PTaLuQCWu3ZzAjp278KOOX+G+j9wO83M/xc5dJXCN+FC7vxKjvlsQNm3F4UrR8VPX+EhYkXFl2Ie8xaW03UM8bleXhRQZlUXbE657giAIgkgmcQsNSWS8+eabYFkWBQUF6OvrC+kguhRpSZjdbg+KXieJFGlJlBSD3mAwBAXjWunzaElUZBTlb8HFfjGE+ezcPAbGJnGoUolrNyeQnQVUFG1H1yVxOiMvLw+ukfBxMiKJjO1bNmFr1lYAQPWu/JAiY/eO7Xi790bMdUAQBEEQqSRuoXHhwgXo9XoolUq0tLTgoYcegsPhAMdxuPfeeyN+V4o1Hy5mPrDy3Fgy5s56R8fx4dvZlImMd/s9qNwhZkntvT4uWzJiFRnFBVvh6O4HgLAi42K/BxUqyshKEARBpBdxRwZtb2/HlStX0NnZCSkUx/Hjx9eVE9CBcialImNP8XbkZIsZXveXMXGLjIsDHlTvEkOQ99+cDC0yivKQu0lcCTA1NRXxFc0+s7Ozq9YOp0+fxv79+3H69OlVOydBEASxOsRt0QgXr349Zbm74b2F3LzclIqM3uvjAICb46JPRjwiQ11SAJ/PB0AUR+FExnv94jRNWVnZitdeWloa8fOcnBxMTU0hNzc3wVpemWPHjuHxxx/HsWPHUn4ugiAIYnWJ26LR2dmJ8XFxEM3KEp/a+/r60NXVlZySrQLTcwspFRmuER/2Ly5LnZyJz5IhrS7pvzkJABhyhxYZl4e9chyNyc7vYnb0Lcx2fQuzY++Jf0ffwuybrbh56dcAgJtvncZs388we/GfMDv8R8xe+C5mb76D2a4nMDnyNubn5zE3N7cm7UIQBEFsHOK2aBgMBtxxxx1QKsXBrbW1FTzPw+FwJK1wqWbPju0pFRmHKpToGxIdNNld8YuMq6MTOFDOAEB4kVGpxHW3KPwUVX8OxdDzQM0XxBwsex8Rc7CUfQyKxWyyis3boPCPADuPiDlYWJ2Ye6XmC3I2WYIgCIJIlLgtGmfPnsWVK1dw8uRJ1NfXo6mpCZcvX15X8dp7hviUioxRnxgnQzpXvCLjtkolhtxiePGKotAiY2x8Gr5bi34VEbLJvvByN2rYcrzws1+umE2WIAiCIBIlbovG3/7t34JlWTQ1NSWzPKvKrsKtKRUZE9NiMC4AKC6IX2QEBuO6NMijZveu5SJjahZ7SxcTqUXIJvvYifvw2AO3RRAZ72eTJQiCIIhEiVtotLS0oL6+HqdOnUJWVha0Wi2qqqqSWLTUk2qRsbe0AM7FZal5CYqMoq2i8aloK0KKjH1lhXj36qh4Yb3PvD9dEpiyPjsXmBqILDJG7IBq5VgoBEEQBBENcU+dfOMb30BhYSFOnjyJL33pS+A4Do2NjXj66aeTWb6UcmXEl1KRcWmAR3GBGGjr8qKgCScyLN//AUq2i4nqLvWNYA+zCT1XhzExPo6t85N49PgnAQD/5bGH0PmnK9jNbMK14VGMjI6hND8bF3r6sQV+8cL26BMQGRpxP4IgCIJIAnFbNN5880186EMfQl9fH773ve/BYrGAZVk0NjYms3wppaa0MKUiY2fhVmBuGgCwr6wwoiXj18+ZYWk1rljmwf4+/JXunhV2+hVQ9rH4RUa2IhnVSxAEQRDxCw2dTgelUgmO49DU1ASHw4Hq6upkli3leKdmMTebOpGxfYsCF3quAwAmp/2YnBfCTpc8avgrVH3wKA6UM/IS1oqi7bg0yKNoq2jJGOzvQ8XuKpie7oAfm6AuKcTlYR6q7VtQsDUX7/XfxF8+eBdQfHdiIiNn/Tj0EgRBEOlN3FMngOinMTY2htbW1nUnMgDAPTmTUpFxaZDHvjLRQXPUF9kn4+BH70fdgUrws1nYkpePA1WluMbPoWb3LpSWlqH5H/4FAGB6ugOKPCU+uK8Cg755VJYUo2xnEQZ88/jg3nLxwhIRGbkqwNezVk1CEARBbDDiFhomkwkPPfRQMsuy6uwtLUypyDhQzmByWvSbqCmL3vEzVJyMw2oxkqcfm7CvrBDdgzyK8regcFuuuBKlrBBTi0tpExMZ3UDxXWvVJARBEMQGI26hcfz4cQCir4YUHruvry8phVotuBFfSkXGxLQfo75b4rmuxy8yDlUq4Z4QfT3UJeFFxjAv5jFJTGR8FBj89Vo1CUEQBLHBiFtoXLhwAXv37sXJkydht9sBAA6HAy+99FLSCpdqCrYoUioybnhvoWYxBHne5vhFxtj4NMYXg3FdHg4jMjxTOFguRmlNTGT8Uly1QhAEQRBJIKOzt6pSLDIOVDA403EW5btZ/Om1l+MWGb6pWahLRF8P1fbQIuNQhRK9o2II8sRERqMYh4MgCIIgkkDcQmMjZG+9NMinVGRcGfbhU585gZ++9BrYOz8et8jYVyauLgGAgq2hRQZ3YxxbFtPEY+RcAiLjx2JkUYIgCIJIAhmdvVW9qyClIiMRn4xAkdE9KC5hBYDLw97QIkORg12MGBwMlQ8mIDIeFXOlEARBEEQSyOjsrbNz8xhbByKjKH8LcuZFMbe3tCCsyHi7V8wUi76fiFlY4xIZZ4Dy+wF8e9XaYXJyUv67npLyEQRBECsTt9Corq7GlStXcOrUKbhcLqjVapw8eTKZZUs5Q54pfPj2krQXGYXbcnGhRxQRUzNz8E0sFxkX+z1Q71wcpKs/l4DI+BQwdD6p9Xz69GkcO3Ys5GeTk5M4evQoAODo0aM4f/488vLyQu77wgsv4LHHHktq2QiCIIjUkiVInpwZhM/nQ2FhIc45ujE+n5v2IuPSII/ygmzUa/bh1K+dqNtfuVxk7CrA7Ows/uyDezDr+O9QsPr4RMboq/BvVSN39ycwOTmJbdu2JVzf+/fvR09P4kHAampq0N3dnfBxCIIg0gFpLPJ6vRvamhu3RWMjMOieBMPkpr3IqCkrxOiYBwBwoIwJKTIWBAF90qqTymNxiwwU7AcmbyS1np944okVLRqSVWwliwZBEASxvshoobEeLBmS4+cILwb+6rs5DhXDLBcZN8ZxsEIlXtjIS8CuI/GJjFk3sOBPaj1Hmu4oKCjA+fPnUVZWhvPnz6O0tDSu4xAEQRDpSUK5TtY7pcq8dSEyhj1TOLAY+GvLphCWjBvjOFSpwggvOlVCdUdiImNbxaq2g2TBCGfJIAiCINYvGS00ugf5dSEyDlUo0XdTnBYpLgwtMoY9k/DPLwAA/L6r8M9nwZ9VAP/YRfiZI/D3/Qz+sofg7/kh/BUPw3/lWfh3fhz+ofPwb1XDP3kD/plb8CtK4L++fpYoEwRBEOlNQlMnPp9PdmB5/vnnAWBdJVqrLMpbFyIjMBhX9yCP29mykCKjemchineVIO/QfwhzxdKS1SeXvF9OdnY25ufnk1bXBEEQRGYSt9A4ceIE7rzzTpw8eRInTpwAwzDQarV46qmn8PWvfz2ZZUwZ60ZkKHKQt0UMxlW9Mz+kyKgqzsfFAQ+ee/ENbN6UhcsjXhwsV8IzMQPP1AxqShn0DPNQbtsM5fbNeG/Qg30lhZienccQP4mD5UpcvTkORU42dmzPxT2378HCwsIatxBBEASx3olbaDQ2NuL48eO4cOEC7Ha7/PR76tSppBUu1fTeGMeHb2PTXmTsYrbCcakfACKKjDJlHrbkiuf6QNVOeCZmMD67gNt2F6N7iEdx4XZRZAx4cLByB6Zn53Fj4hYOV+1E3+g4tm7ejFJlHt7uvQ4AmJqagkKhSLieN23ahNzc3ISPQxAEQaw/4hYaUkRQu92O+vp6eXtRUVHipVolDpQx60JkXOz3oHpnPgDg2ugEag/sjigyDlYsWjImZ7C/jEH3EA9l3mZZZOwrXbRkeCZF/49R0ZJRqszDxX43qorFc5WVlSWlnnNysjE1dYvEBkEQRAYSt9BwOBzweDwwm81oa2sDAJw9exa9vb1JK1yquem7heytirQXGepdBRgf9wEA9pcrUysyduZjYW4OADB57TwUE++Iq1AWZoFZD5C/Hxh9BSj/pJgTpfpzYrbXPXpg8FdA8d3AeDeQqwSyc+H3XUXe4a9gbm6OhAZBEEQGEveqk2984xtwu90wm8146KGHcO7cOXAch8LCwmSWL6VMzM6vC5GxIAi4NjoBALjOp1ZkZGdlwXVDFDWKiXegKKyCImcBCmEcCtVtUPCvQVH1IBRDz0NR8wUoBn4Cxd5HoLjxIhRlH4Ni2gVFXjEUm7dB4R+Bojh0ll+CIAgiM0ho1UljY6O86sTr9UKtVq+rVSfVu/LXhcjouzGO/eXiVJV/fgH7UikyrovOsQBCWDL+AJQ/IMbfqH5UjMexpxEY/AVQfE+QJQNTA4DyDqD/xTVsYYIgCGKtiduiceLECVgsFni9Xtx33304c+YMxsbG8NRTTyWzfCnlypB3XYiMQ5UqXF8MxrV7R4pFRqUS1xejkCYsMkbsYsp6giAIImPJ6FUnO/K3rAuRMeyZxB9efhF7qtV45owVjZ/9XEpFxvTcYvyMWQ+gui0BkfEZ4PKP17aRCYIgiDUlo1edrBeR4Z9fwBcffxwfrv90yi0Z0/55VC+uOknMkvEZMVV99efwfoAwgiAIItNIaNUJz/PretVJz7AXRw5Vp73ISKnj5xKRwe7Mx9t9i9lbR18Bqh5MQGQ8ShYNgiCIDCehVSdjY2PretVJTWkhiYwlIuPigAelzDaxgso/mZjI6HtWTFlPEARBZCwJrTo5efIk3nzzTfh8PtTX14NlWVRXVyerbClnYtqPmVkSGUEiQ7kNudmCWEFXO4CaLyQgMh6iVScEQRAZTtwWjQsXLmDv3r04efIk7HY7AMDpdOKll15KWuFSzc3xaRIZS0TGts2b0DPsFSuo+nOJiYwRu5iyfgVeeOEF1NTU4IUXXkhtgxMEQRCrTtxCo729HVeuXEFnZycEQXwCPn78OHieT1bZUs7eskISGUtFxpAXB8oYsYJ6n0lQZGjE/VbgscceQ3d3Nx577LHUNjhBEASx6sQtNOrqQkd8dLvdcRdmtem9Pk4iY6nIKGfgnZoVK2iPPnGRkZ14UjaCIAhi/RK30Ojs7MT4+DgAICsrCwDQ19eHrq6u5JRsFdiem0MiI4TIGJuYBgD4r/4cfuYu+N3vwp+VD/98NvzePvi3fwD+/hfhL3kA/ss/hr/iYfFvyZ+L2/MPi/vNZ8GfVbBq7Xn69Gns378fp0+fXrVzEgRBEJHJEqR5jxjp7e1FQ0ODHE8DAHieh8PhkMOSpys+nw+FhYU413kJg5NZJDICRcb4NPaW5OP+uz+I0evXk1Lf2dnZ4Hke+fn5STleOKR29Xq9ad8HCYIgMuWeFfeqk+rqaly5cgUWiwUcx0GtVuPkyZPJLFvKuTTE40P795DICBAZ+8sZXB7y4oe/fA2qvFxcHPBgX0khZufmMeCexMEKJfrHJpCdBZSrtuPigAd7dmxHTvbiucqVGPXdwsTMHNQlBbh49Sa+0HAYCwsLa93cBEEQxBqQ0PJWAGhqapL/7+vrQ1VVVaKHXDWqd+aTyAghMgq25aIofwsu9ntwsHIHZufmMeK7hcPVO3Ht5gRyFQpUFG3Hu/0eqEuVosgY8eFw1U6M+m5hej4LByqLcGmAR6kqtVYMgiAIIr2J20fj7NmzyMnJCVrO6nK51tXyVhIZkUXGvtJFS8bYJA5VKnHtpmjJkETGnuLtssg4VLFoyZiew97SgqCsuARBEETmErfQAIArV67g3nvvld/X19cnbXkrx3FwOp0ARN8Pu92+7NhtbW2wWq3y31jpH5skkZFikXFpiF+xHQiCIIiNS9xCw+PxhIwCmqzlrVarFbW1tcjKyoJSqYTT6QTDMPLnBoMBGo0GOp0Ozc3NOHPmjCxMomV/OUMiI5UiY5B/PyYHQRAEkZHELTS6urrw1ltvBW178803k7q81eVyweFwQBAENDc3B31msVig1Wrl9w0NDTCbzTEdf9gzSSIjlSJjMSsuQRAEkbnE7QxqMplQX1+P3t5esCwLjuOgUqngcDiSVjiWZUNut9vtQdaNwO2xQCIj9SLjhu8WAGBqagoKRWL+Gps2bUJubm5CxyAIgiBWl7iFRmFhIbq6umC322WxUV9fn8yyyX4XnZ2dOHLkCHQ6HQCE9ANRqVRhp21mZmYwMzMjv/f5fACAclUeiYxUigzvLewvZwAAZWVlCfeHnJwcTE1NkdggCIJYR8QtNF566SXce++9QdMXAPD000/jS1/6UsIF02g0qKurA8Mw0Ol0UKvVYFkWGo0GbrcbKpUqaH+GYcI6ora2tuI73/nOsu09gzwOshUkMlIkMg5UMLjUPwYAmHz3+1AUVgHuC0DJvUD/C0DVw2I+laqHgf6fAiX1gOcCsK0CWJgFZj1A/n5g9BX4d34ceWW1mJubI6FBEASxjojbR8NkMi3b5vV6Y/aTCIdWqw2aHtFoNPKxl4oMQLRyhJpOAYCWlhZ4vV751d/fDwAoU24jkZFCkXFl2Iftm0UtqyisgmL8bSgq74Ni5OdQ7HsUioGfiH9HfiFun3hH3C9nAQphHArVbVDwr0FR9SAUQ/+alH5FEARBrC4J5TppaWmR3587dw7V1dXgOC4pBbNYLEHvWZaVHU0Zhlk2TRLKyiGxefNmFBQUBL0AkMhItchYTFgnNtAFoEQL9D8PVD0ipp+vegTo/1dxe0hLxh+A8geAq2fElPUEQRDEuiPuqZPe3l4UFhbiqaeegsvlQldXV9IcQTmOg8FggFarlR1CeZ6X/9dqtcumSXieXzaNsxKu6z58+HaWREYKRcbbfTfEyi65NwGR8SjQ88NEuxVBEASxBiQUR+PNN9/E9773PYyNjeGb3/wmqqurQ8bWiBWWZWEymYJWndjt9iALik6nC1plYrPZYDAYYjrPgXKGREYKRcbFAbGOACz6ZMQpMnp/LKasX4HJycmgvwRBEMTaE7dFQ6PRoKioCB0dHbjjjjvQ29uLb37zm3jzzTfxm9/8JuGC6XQ6GI1GFBUVweVywWw2Q6PRyJ93dHTAaDSC4zjwPC8H8IoF9/g0sHkTiYxUiYySAszMzIqVXfVwAiKjEej7KQBxxdDc3NyytpycnMTRo0cBAEePHsX58+eRl5cXst1feOEFPPbYYzH1FYIgCCI+4k4TX1dXh3PnzqGwsDBo+969e3HlypWkFC5VSKl5n/5VJ2oPVpHIiFNkPN/+LE6b/xf+41/9Pzj40fuXiYz5BQGuYQ++WH8bZruegGLfo/GJjMFfwM/chdzyf5eU9q+pqUF3d3dSjkUQBBEvlCZ+BVpaWpaJDAAwGo0JFWg1YUsKSGQkYMmoqfsYhr/1Vez54D0hRcbV0QkcqlCKlV31cNwiA8X3AO53AQDDw8PYtm3bsraULBoulwtqtXpFiwZBEASxOkQtNHw+HziOA8dxYFkWx48fByAuaW1vb4fX6wUQPppnOnJl2IvqilISGXFOl9Qs5jHJ2xxaZNxWqUTfdY9Y2f0/BSrvi09kjHcDuaJgKSgoCCk0CgoKcP78eZSVleH8+fMoLS0N2+40bUIQBLF6RO0MqlQqcebMGWi1WnzoQx+StxcWFuLkyZP4+te/jqqqKuj1KzvtpQuqvM0kMhLwyeCuixFWd+SHFhlSwjoAEYJxRSkyslcO0iVZMMJZMgiCIIjVJ2qhUV9fj9bW1ojzSDqdTrZ0rAdIZCTm+Jm3GIyre4gPKzIqi7YDAPyjXfArSuCfmYJ/chT+LWr4h34H/8774L/yLPwVD8Pf80P4yx6Cv++n8DN3we9+F/6sfPjns+H3Xl21fnH69Gns378fp0+fXrVzEgRBbFSinjoJXNFx9uxZnDlzBr29vWhsbIROp0NVVRWA9TV10jPsRe3BKhIZca4u2ZolBuOq3pUfUmTs3rEdf+q7iV0lJcg7/JUwrSAtWf7ukr/Lyc7Oxvz8fNLaPxzHjh3D448/jmPHjqX8XARBEBudqIVGUVGR/P/x48dRX1+Pb37zm/j6178edr90Z29JAYmMBJawOrrFUO7hRMbFfg927yyA9ZwDPUMeHKpYjMB6axZ7SwvRM8SjaPuiI+4Qj5rSRcsSP4WD5Ur0jo5jyyaxPd7pG8XJT3wICwsLa9xrCIIgiFiIWmhkZWUFvWcYBnv37l1xv3RmamYOUzMkMuKNk1G9Kx8A0H9zEnUHKpeJjMCsuIerd2JsfBpTfgEHd+9A9yCPXcp8efrq0O4dmJqZw+iEH4erdoK7MY7tW7fI7VFTJoaXj5RufmpqSv67aVP4rk3p5gmCIFaPqIWGzWaDUqlEYNgNm822LJHZmTNnllk50pXr3lv48G2lJDLiDMbl84nOoAfKmYgiIxm5ZGZnxcBf0aSbj7TiBABycrIxNXWLxAZBEMQqEJPQCCUsOjs75f95nl9XFo2aMoZERpwiY35BQP9NMdT3kHsCW/LyUyYyFgQBfaPjAIDJwdehGDsPqO4ApgaAbAWQqwJ8PfBtuR079t6Lm71voGDsp2IitqsdQPn9wOhrQEEN/FOjyDvw6Kqlmz99+jSefPJJPPHEE7SsliCIjCTqVSdNTU1YWFiA2+0O+1pYWMA3vvGNVJY3qVy9OUEiI06RcXV0AgfKGQBIqSVDao+DFeLUiWLsPBS7jkDhH4Fi81Yo8nZCccsFRdlRKEZfEvcZOgtFzRegGHoeiqpPQ8F3QlF0CArBB0X26vp4HDt2DD09PeRYShBExhK10Ig2YVljY2PchVlttmzKJpERp8i4rVKJIfcEAPFcqRQZhypVGOEXE6Uts2R0A8UfBQZ/CVQ+JO6zp1GMy1H+KWD0VaBgPzDrBhb8YhwPgiAIYtWIWmjccccdSd0vHdhZSCIjXpERGIzr0iCfUpEhtQeA8CJDEheAmI4+nMhwX1ibzkYQBJGhxJ0mfiNwaZAnkZGAyKhYDMZVrtqWcpGxZ4e4wiWsyJAiigJA6X1hRIYTKLl3jXobQRBEZpLRQqO6OJ9ERpwiY/eO7bg0yANAykVGVXE+3htczJkSTmRUPypaMgBg7PUwIkML9L+wJn2NIAgiU4k7e+tGgERG/CLjYr8H5SoxuZlrxIfaA5UpExkXBzwoYxbzl/h6gLKjy0XG1TOiJQPfBfL3hREZz4tZZPE/5JgboaB4HARBEMkjo4XGtZsT+PDtahIZcYiMiqI8+KfFAXl/OZNakaHMw6Ys0UfDz9QBfT8D9uiBnh+KS1ivPAuU34+z3/9H7GPLcfaFX+Pzxz4iiozrneJ0CdcBVD2M+Ss/xubcXBQXF6/YPygeB0EQROJkCYERuDIEn8+HwsJCnOvqxi1sJpERh8jI3ZSDt68M4ssP1OLs+Xcxn705ZSJjS24Ougfc+Obn6zEyPJxw+xcW5KHn9eeRM/4nYGu5mE3WzwPb92Gy//f4s5P/Aq6vH2xVJV7+vw8hb/8JYOi3wI67gInLgIKBfyEbpXd8HpOTkyHT1i/ta16vN2JCQoIgMo9MuT9ktEXjuncSW7crSGTEITIuD3uxWyU+yd90e3Hn4X0pExmXh724bc8O/OAXf4R74hZqShn0DPNQbltsj0EP9pUstgc/iYPlSly9KbZHCZOH9wbcqCoW26NnyI2Tn/gQdh28b8X+wfX1Y8/9/wjgH1PcEwmCIDYuGe0M6p8XSGSEERm9nb9Fz9VhTIyPQ7VZQNelfig3L8A/PYW3rwyiePMs/uLEAwCAv/nKI3jt7R5syfIjZ34GF3oGUF6QjdExD1wDN+B647dJicDqm57DbbuLwY1OorhwO4qV23H5+gQOVu7AnJCNGxOzOFy1E4P8NLZu3ozKYgaXR8axt0yF3NxcXHXfwgeqxCmTm+/8BN6Lz8L75j/B67LB+/r/gPfaGxiyfw3q6t0AAHV1JYb+7Vvi52/+k7j/JSu8zn/EzR57VH1scnIy6C+ROk6fPo39+/fj9OnTa10UgiACyOipk5cc3RiezCKREcKS8cC/vxND13qTUt9lu6tx6l//LS2Cow2O+vDgXXsxy1mhEMaB/P3A6B+A8gdEh9LqRzH8xj+hTPs/MfRv30LpoU8C491ArhLIzhXjeCjvgL//ReTe8S0MDw+HnTqZnJzE0aNH4XK5oFarcf78eeTl5YXc94UXXqAQ5QmSKWZoYuOQKX02o6dOeoZ47K+qIJERYrpE/8W/xPGHHsKlQV6Ok+Ea8WF/OQP3xDRuur34m688goFrfSit3IOnf/JzDPB+7C0twNTMHEb4WzhQxqDv5jgu/OFcWoiM6/wtTM/Ni40/6wFUty0TGej9MfJqHgbwP5FX+bGQIgMjdqDyQQDfWtFhVMLlckVMCFdTU0NCgyCIDUlGT52UFG4jkRHGJ+Pxxx/HNX4ONbt3QckwGBpfQO2BSsxAgfnszbjz8D488b+fAQA8/ZOfY8y/GR/cV44sxVb4/Dmo21+JG7cAFcPgkc9/Pj1Ehn8e1cVi4C//FjX8Q7+Df+d98F95Fv6Kh+Hv+SH8ZQ/Bf+2X4j6e9+DPyod/Pht+bx/82z8Af/+L8Jc8AP8V8dqHh4fh9XpDvoaGhqBWqwEAarUaQ0NDYfd94okn1uAXED80TUEQRLRk9NTJb167iBvTOSQyonD8DBWMa0uWH8fuPgTzLx344L7ypDl+prI9/nT1Jr7+2XtxfSTx1SvZ2dngeR75+flh9xkeHkZZWRmGhoaitn6sB9LR5JuOZSKISGRKn83oqRPXdR/uvI0lkRGHyCjK34Kc+SwAkKdL0l1kXBzwoHxHPp5/uQvdgx4cKFtsj4lp1JQxuDLsRcHWXGzJ8kN75AB+/ceLUGzZhgH3JA5WKNE/JrZHuWo73ukbxZfu+yAWFiJng5V8MsL5ZhAEQWx0MnrqZH8ZQyIjTpFRuC0Xl4e9ALBuRIbUHq7rE7h9TzEm/QK80/O4bU8x+kanoCrIwy5VPq5cF1eILGRlY8Q3i8PVOzHsnUGuQoGqXUr0jEyALWHWsOcSBEGsHzJaaPAkMuIWGZcGeewtFU19I/ytdSMyomkPdYl4XYPuqYjtQaQXtJSYINKTjBYanluzaz6orVeRIQXjAoADZcyGERlSewDAgXImfHtc961l181ITp8+DZ/PF/I1PDyMo0ePAgCOHj2K4eHhsPuSAytBrC4Z7aOxt6QwLQa19SoyRvhbAIC+m+NQMcyGERmDbjGHy8DYBLbn54duj3LlWnbdjOTJJ5/E448/vuJ+tJSYINKLjLZoXBnxrvmgtl5FxrBnCgfKGADAlk0bx5IxMDaJA+Xida3UHsTq8sQTT2TkUuJkQsuSibUgoy0ayq25az6orVeRcahCiT/1DgEAigs3jsg4VKnEpT5x6WuZKkJ7LE4bTU1NQaFQhO1j0aacTxarlbo+0B9itZblRbJCFBQU4Pz58ygrK8P58+cjLiXOZGvGsWPH8Pjjj+PYsWNrXRQig8hoocGkwaC2XkUGd2McWzblAAC6B3nczpZtCJEhtQcAsY6rSkK2h+QwGslEH8hqxdDIycnGzZtjCYuNn/zkJ9DpdCE/k0KrA6I/RLqEVqelxASRnmS00Oge4qE5ULXmg9q6FBmKHORt2QoAqN6Zv6FERo/j9yiprELfW+dxG3siZHv8qW8UADA58hYUA+1A9eeAqx1A+f3A6GtAQQ0w64bP58MOzZdx89XvomDvJ4H+F4Cqh4HeZ8S//T8FSuoBzwVgW4WYsn7Ws5iD5RWg/JPA1Q78y+vb0WpqQ0vz1/D5e3KA4ruXhUefLzgMJfvvoVQmx3/kL/7iL1bch/whCIJYiYwWGupdBWs+qK1XkbGL2QrHpX4A2FAio6JoO7xHPo72Fx+K3B4FoshSDLRDUfMFMVdK1aeB0VeBokPArBvIEaAoEDPBKsrroRj5ObBPzKeCfY8C/f8KVN4niozCKlFkzI+/n4Ol6kHxuDVfwPGZp/Efrrlx/MgCFGX3iiIjr/j9HCw7j0AxYsfEyFtY4J4VhU/fT4DKY8DIS4DqDnG/bAWQqwJ8PUDxXcDgr4E9elH4LIol/84G5FV8NGzCuFiTxREEkdlktNCYnp3H2CyJjHhExsV+D6p3iqG3r41OoPbA7g0hMqJtjy3irBH8FY3AlWdFS8bQedGSMXkDWPAD2ypw9plT2KfejbM//Dt8/j+3Aj0/FC0ZnFW0ZNzoFC0ZM1PvWzKGfidaMq4sCoaeH8Jf+ucA/g7+wiPwu98VLRnz2cB4n5jorf9FoPJBZPc9JwqfvmcBVi8mgNt1RBQZm7cuioxuoOwoMPhLYO8jovAJFEtD5wGIfg+hhAb5Q6xf1sK3hiAyOtfJ937+Oj58G5v2g1o6igz1rgKMj/vwiTv343dvchify84YkbF9iwIXr42h5VEtRoaH1ro7B1FWWgLXz76EnD0PxWzJkKZ9/FtZ5KkfwOTkZEihAaRnjoZ0LNNqc/r06bCOnrFaokgkpp5M6bMZLTRecnTDO6dI+0EtHUXGgiDgvd5hNH2qFu3/9g4UW/MyRmRI7eGdnMZ1fhL7yxm4RnzYvnmxPQbFOppfEHD15gQOVSgx6Bbbo7JoO94b8KBCtdgeI14cqlhsj1uz2FtaiJ4hHkXbF9tjiEdNaSFGxzz4zL87jJcc3Ri9FbCkeMAD9U6xPbgRL554/OMYGRlJ+DeSnZ2NoaGhsAnjfD4fSktLMTw8HPEGuVqrYKQyZcJNOxL79+9HT09PwsepqalBd3d3EkpERCJT+mxGT530j02gSFW0Lga1dBMZfTfGsX8xaJV/fgH7MkxkTEz7MTYxi9urinFl2Adm+1a5PfZXFGF+QcCgewIfrN6JgbEJZOcoULXYHlW7GLk9DlfvxNj4NKb8Ag7u3oHuQR67lPlyexzavQNTM3O4OSkupx3kp4OCo+0vL8KCIODajXF8aG8pzD99BbNzc9izIx/vDXpQxiy2x4gXB8sX22NqBjWlDHqGeSi3LbbHoAf7SsT26L/pxX/4+AdRUlKy4m9opdU0OTnZmJq6tWpiI9N54oknkmbRWA1Onz6NJ598Ek888QRZUDYwGS00FDlZ62ZQSzeRcahSBVe/+OS8e0fmiYx0DY62gCzsLVXh4oAHu4sZuT0+ULUTnokZjM8u4Lbdxege4lFcuF1uj4OVOzA9O48bE7dw+55iAADf9woUI78Cqk4Afc8Be04A/T8HSu6Fr/+PKL27GcOOf0ZB7sziKplXgfJPANfOAlWfhf/KM2DuMWFubm5VhMYLL7yAmpqajDb7r7dYIxTXIzPIaKGxq5AGtXhFhuT4CQCXhnjsrdhFImMdBEfr+eOL+K//+BQ+3/RfcOKznwvZHq4RHjtLSsFU3b34S3ly8e/fLf79tvwbKq39D0t+Vd9a/NsKQJyCmZ+fT/pvNxSPPfZYxgqMaKFYI8RakNFCo3vQgw/s202DWpwiw3XhPEoqq+By/h63sw+TyFgHwdGmDn8Uw/29+OQDnw7bHltyFfjF7y/g3Ws3UVW82B43xDq6zt/C9Nw8ircC99bux7/+/m0UFynRM+zFgbLF9piYRk0Zg+7+MTxa/wEsLCys8S+dSDY05UHEQkbnOtm9YzsNanGKjKrifKjv/Die+9UreFBHIiPV7bE9V/TZLsnPSShuCbNtMwCgZ4iP2B7dQ17sLVMhNzcXV923RF+SyTnMIRs1ZSq4bojLJAu2bwU3OoXb9xRj0i/AOz2P2/YUo290Csp8ccXK1NRUxNfTTz+NmpoaPP300xH3m52dTcrvfnZ2dsUyRfNaqTwbOa/IsWPH0NPTk/CUR+ByW2LjktGrTn716ru4ObuJBrU4RAb5ZCS3PZ7+5x+iUf+QnBX3QBmDvpuiJWN7roDHj38KN4auobyyCt/8f/8Fh9VluM6L7bF7Rz4uDfEoZbbh9d//Fvs+fF/Y9lAIs/izO9SwOy4jJ3db3O1RoJjHn3/kIMy/dOCOmoqQ7VG4JQcfOVietN9tMsKrz87OYseOIszPJ25lycnOxtSt8I6uyVxRkCwLQrLKFO1xaLltZGjVSQbQOzqOD9/OZtygRiIj/drjN8+ZYWk1rthnB/v78JXj94T9vKSiCj8//nDY9nB23wAgBqvzTsbfHv/26+dRUlGFoXdfBVtxLGR7/KnvJnaVlOL6yHBSfq8CspISXj07JycJpQEEADMzM6vi6LpenSaffPJJPP744yvuR6HsNzYZLTQOlDMZOaiRyEi/9vjsya9gr+ZjQZaM4sKt6B7kUZKfg//0uWMY7O9Dxe4q/K35DHJytwRZMrbk5sA14sPwu69GbA8pGdwwP4W6/ZVxt8feO+/Dz15ujNge+ytUePbF19F/cxwHK5ToHxPbo1y1HRcHPNizQ2yPP3FD+MsH78KZcxewoNgKdUkBugfFMO/btyhwaYjHvpJ86LV34vr16wn/7ncWF8Pywu8xMTMfNm7J1MwchvkpHCxXond0fFnckln/LBpq92JiYgI5YYRLLJl7VyveSLJW5kQbYXS9LbclUsO6nTppa2sDy7LgOA4sy4bNNBkKyVz13LkLyM0rzLhBjUTG+muPN9/j8JXj9+D0r19Hvqo47vYYc/N44CMHcP4tDjenkRbtsbtwE/79HWr8yPYmDu8tD9seI+4J7CsrSDg4mntyFpMz8wm1x5UhN76ovT1p97PVnIaJhtWa8hgeHkZZWRmGhoZWLcNxOkFTJ2mMwWCAXq+HVqsFAOj1erAsC41GE9NxpucWcCDETdT1xm/x3/7PP+DTn/8yTn7pixk3qJHISL/2OKwWzco5uVsSao9hXnzKvnZzHIWFhWnRHn1D4nQOuytyexzaU5SU4GiJioy+G+O4bfcO7CwpxY2kTQut3jRMNKzWlActt80M1qXQsFgsMJvN8vuGhgaYzeagbdGwZ8f2kDfRXM1HMHD1Kzj255/MyEGNREb6tUeygqNJgb/SqT0mZ8Sopz1DPKrKdq6L9hj2TOKfnv89dhflhY3AyvUP4D8/9O/w/z3/e7CVFcsisA7xkzhYrgQ34sHDH7sNHo8n7FJgn88HAPB6vVgNI/RXv/pVfOpTnwr52dTUFO6//3709vaiuroav/71r8PmxHnxxRdTWUxinbDuhIbdbgfDMCG3x8pbVwawd3cZBP8tvHXNh32lheCu9uOvHn8IAPDo8U/if/7gLDZvU8FxaRTqkgJ4eB6D7ikcKGdwqW8Yb/z+t3jsscc31KBGIiM92wNIPDia8+IVAEDB5qy0aY/SfPE2lK8Q1lV7XHz1RXhu+yhKmW3IEvy4eHUMNWUMRsa8uD7G4+/+q/gk/+R/eRTfb/8F3ubEcnvHJzHMi9FeLw+MIhsCcnJysGfPnhXvWbt37475PpdKent7ceDAgbCfZ2dn44EHHsDWrVtDfv7cc89h7969ePbZZ/HZz342VcVcVqZwfjUA8IMf/AAmkwlGoxFf/OIXw+63kl/NqVOn8Dd/8zf467/+a5w8eTKhMq931p2PhtVqxcmTJ+HxeCJuC2RmZgYzMzPye5/Ph8rKyqSUZ3cVi+98/+eyY5vrug+HyhdvojNzIR3bDpQt3kR9t1YlIddKjm0LgoC+0XEcrFBhZHHJZCK5MqQntas3RZFRwuThvQF32OBP1cXiuUqZxUEtRPCnK8NeFGxdHNQGxHPNzs1jwD0Z0dFwo7RH0RYxQNYLv38HRSombHs4X/4l7v/UA+ge4qHeVYDp2XmMeKfEOhwYxX//T49gZPAaiksr8X9/fBbbtuWhd3QcB8oZ3PDewvTcAvbs2I7n2s9C3/jZpLTHqX/+IR789KeRk52F3hvjOFDG4KbvFiZm51FSkIMv6j+NG0P9KK/cg6/9/Q/xgeoSTEz7cXN8GnvLCtF7fRzbc3PwbufvUFWnTYv22LMjH5+u/yhGBvqSch/ZWVYJy3M/Q3ZWFvpGJ7C/vBA3vDOYmZvHzrws/MVnj2N0uB9llbvx1b/7Pm6v3gXfrTl4JqahLi1A78g4tm/Nxbtv/Bv2aOqxt6QAs3MLGHRP4kAFg4GxSWRnAWWqPLw3wGP3jjzkZGeBuz6Og+UMRn3TmJyZA1uSj55BL4oLtmL7lk3oHvJif1khJqbnMOq7hZryQnAj48iam8bnPl6H/3X2D7iNLcX8goBrNydxsILBkHsSCwJQxmzFn9XWYM7vT0odpSMXLlyAQqFYtn1qagp6vR5Xr17Fnj170NHREdLqMzExgbvuumvD+2hAWGeYzWaBZdmgbTabTYh0Kd/+9rcFiNOg9KIXvehFL3ql1cvr9aZ66FxT1t3UiUqlWraN5/mQ0ykSLS0t+NrXvia/lywa165dC6kiR0ZGcODAAVy6dCmqDJYEkWp8Ph92794dts9KPPfcc0mZW//lL3+ZNFN2OpZpNYj2PhKpfoD0rKNo+2M68swzz+D+++8P+dnU1BQeeOAB9PX1oaqqCr/4xS/C1vVf//Vfo6WlJexxPvnJT2JsbAxFRUX41a9+FdGiseFZa6UTKzabTWAYJmhbKCtHJLxeb0QV+aMf/UioqakRfvSjHyVUVoJIFiv12WgZGhoSAAhDQ0NJKlnipGOZkkGy2kwQ0q+OknltySJZ9+1k1fXExITwxhtvCBMTE2H3Scd6TAXrLteJVqsFz/NB23iel5e6JoPHHnsM3d3dFImO2HCk43LCdCxTupFudRQY+CtdSFb+FZvNhpqaGthstoSOk5eXhyNHjqRNm60l605oAIBOpwtaZWKz2WAwGNawRARBbBQ2cjK0ZJGOD2PJStCWjte23lmXQqOjowM2mw0WiwVtbW0wGAwxB+siiPVEOj5BblSS9WRMJJfTp0/D5/OFfA0PD+Po0aMAgKNHj2J4eDjsviQgV591t7w1GWRK2FeCWEo69v10K9NqZzhd7WOtV/bv34+enp6Ej1NTU4Pu7u4klChxMqVd16VFgyAIIt1JphWKLFpigjav1xvyNTQ0BLVaDQBQq9UYGhoKu+8TTzyxxleSeZBFYwOrSIJYSjr2/XQrU7qVh4iO9ZigLVP6Glk0CIJYU+hpnUgG6bYyh3gfEhoEkUGk46Cebl7+yVq9QKwu6di3CZGMnDrxer1gGAb9/f0b2lxFEMRyVopU+olPfEKOwvmb3/xmzaNwEhsXKUo1z/MoLCxc6+KkjIwUGgMDA0lLqkYQBEEQidDf34+Kioq1LkbKyEihsbCwgKGhIeTn5yMrK2utiyOrWrKwhIfqaGWojlaG6mhlqI5WJll1JAgCxsfHUVZWhuzsjevJsO6SqiWD7OzstFSPBQUF9MNeAaqjlaE6Whmqo5WhOlqZZNTRRp4ykdi4EoogCIIgiDWHhAZBEARBECmDhEYasHnzZnz729/G5s2b17ooaQvV0cpQHa0M1dHKUB2tDNVRbGSkMyhBEARBEKsDWTQIgiAIgkgZJDQIgiAIgkgZJDQIgiAIgkgZGRlHYy1oa2sDy7LgOA4sy0Kn04Xdl+d5WCwWAIDNZoPBYIi4/0YhljoKhOM4mM1mmEymFJdw7Ym1jqS6OXLkCABAq9WCYZhVKOnaEWsdtbW1gWEY8DwfU79br0h9Qq1Wo6mpacX94/1drmdiqaNMvV/HhECknKamJsFms8nvdTqd4HA4Iu4v4fF4BAAR998IxFpHgWi12qA626jEWkcul0vQaDRB+5tMppSWca2JtY6W1ofJZNrQvzWbzSZ0dHQIWq02qr6QyO9yvRJPHUlkyv06VmjqZBWwWCzQarXy+4aGBpjN5pD7chwHjuPA8zwAgGEYaLVatLa2rkZR14xY6igQu90OlmVTWbS0IdY6MhqNMBgM8vuWlpaonmDXM7HWUWdnZ9B7rVYLu92esvKtNVqtFjqdLmqrVry/y/VMLHWUqffrWCGhkWLsdnvIDhvpZtbV1QW32y2/l8yWG5V46kiC4zio1eoUlCq9iKeOrFZr0CCh0Wg29LRJPHXkdDplszcg/vY0Gk0qirfuSOR3mUlk2v06HkhopBhJ6QaiUqmCOmYgLMvC4/EEPaXb7XbU1dWlqohrTqx1JGGxWDb8E7pErHXkdDoBiELMarXCYrEEDagbkXj6kWT10ev1cDqd4Hk+SJxlMvH+LjOJTLxfxwM5g6YYt9sNlUoVtE1yPIsGp9MJt9u9oR0d46kjyXEvU4i1jqQnKp7nZce0hoYGqFSqDeuoFk8/ampqgsPhgMVigd1ux7lz51JcyvVDoveuTCQT7tfxQBaNFLP0hwqIN/9oTdgnT57EuXPnNrTJO546am9vz6gnz3j7UeA0QENDw4aeO46njiwWCxoaGuByuVBXV4fa2lqaGlgk0XtXJpIJ9+t4IKGRYhiGWWZqDPWkEAqj0YhTp05t+DnjWOvIbrdnlMgAYq8jydqz1OqzkeeOY60jjuNgs9mg0+nAsixsNhtMJhOMRuNqFDftSeTelYlkyv06HkhopBitVrvM1BjNPLDFYkFjY6PcaTfyU1Y8dWS1WtHW1oa2tjacOXMGXV1daGtr27Bm3VjrSOo3gcJibGxsQ083xVpHTqdTji8i0dzcnKrirTvivXdlIpl0v44HEhqrgE6nC+p4UlAXCafTCavVKr+X9mUYBhzHwel0ys59G5VY6kir1aK5uVl+abVasCyL5ubmDW2yjLUfNTc3B+3vdDrR0tKyOoVdI2LtRzabLej7HMehsbFxdQqbhiztQyvVZyZC9+vYoeytq4TRaIRarQ4ZfdBoNMLpdMJms4HneSiVymXfN5lMG/5pK9o6CqStrU1e128wGKiOltSRNA1QVFQEhmEyYpVOLHXkdDpx5syZoCXSG7mO7HY7nE4nWltbwbIsGhsb5akjIHwfClefG5FY6iiT79exQEKDIAiCIIiUQVMnBEEQBEGkDBIaBEEQBEGkDBIaBEEQBEGkDBIaBEEQBEGkDBIaBEEQBEGkDBIaBEEQBEGkDBIaBEEkhY0alZUgiMQgoUEQ6xCLxYLa2loolUoYjUY5HLsUXGm183XwPB8yYRvHcTAYDHL5LBYLOI6LOly81WpFQ0MDsrKy5FTugTQ0NECpVGZ8tEqCSGcoYBdBrFP0ej1UKpUcGVXC6XTKief0ej3MZjPMZjNMJhNYlkVbWxtYlgXHcdBoNNBqtXI0RAByBFGLxSIn0HK73REjZlosFtTV1QUllLJYLOjo6EBHR0dQaHhJEHk8nqhCxkvRFzs6OpZFpeR5HhaLhaIwEkQ6IxAEsS5hGEbo6OgI+Zm0XavVCjabTfB4PPL25uZmeT+tViu4XC5Bo9HI23Q6nWCz2YL2M5lMYc8lfScQh8MhAJDPuxSWZcN+FgqtVitotdpl281mc0zHIQhi9aGpE4JYh3AcB57ngywIgcmvpO0Mw4BlWdly0NnZCZ7nYbfbYbfbYTKZYLVagzJydnR0wGazBeX/kNKohyvL0iyoRqMROp0urMUi1nwZBoMBdrt92XSLy+Xa0In0CGIjQEKDINYhdrtdFhGA6MsQOAgHpoOXpj8A0acBEDOXSuKCZdmg7/I8jyNHjsDlcsnbOI6Tv7sUs9m8TDjY7fZl4iOQlpaWIIHAcRyMRiOsVquctCoQ6fjt7e1B34l0DoIg0oNNa10AgiBix+FwyP4WY2NjsFgs6O3tDdpHSlcd6MOg1WrBcZzsf8EwDHQ6neygKQkUadvSlOGh4DguSNhIoiWSpWHpZw0NDXA4HHJ51Gp1kNABxKyqZrNZ9hWxWq3km0EQ6wASGgSxDrHb7TAajfKgK6WBD0Sj0SwbrIHQadBDDdjRDOJOp3OZpUMqx9JpDslxM/DzpqYmtLe3g2GYoPIzDAOn0xk0NWQwGORVKyzLYmxsbMXyEQSx9tDUCUGsM3ieB8dxqKurk7cFigeLxbJqZTGbzThx4sSy7VqtFp2dnUHbGIaRxYvBYIBWqwXDMLIYslqt8qulpSXISgKIwollWZjNZtjtdjQ2NqboqgiCSCZk0SCIdYbk9Bn4tC9ZA5xOZ5AACYVarZanKZJBqOOYTCbU1taC5/lln0vlk4SEWq2G3W6PykFUp9PJQspkMiVWcIIgVgWyaBDEOsNmswWtEpHgeR5GozFIgIQiWSJDCqYVCo1GA7PZjPr6+mVTKIGrYwDRGiNZaQKPHfhewmAwgOd5FBUVJVx+giBWB7JoEMQ6geM4mM1mtLe3y46gADA2NiY7bkbzlJ8sS4bNZlsWLCyQpqYmaLVaOVopIC6vbWhoWOYn4nA4YDQaUVtbKzupLp06AUQriFarjXl5LEEQawdFBiWIDYjdboder0dHR4c82EsWj4aGBjkmht1uB8uy6OjoiCgaliIdK5bvEASRmZBFgyA2IFqtVp6SAEQ/CMmKIE27SAGw6urqgmJtREN7ezvlFyEIIirIR4MgNigtLS1yorNQQqKpqQljY2Oora2NOQmbzWZb0ReEIAgCIKFBEBsWyc9BCge+FIvFApPJBJfLhYaGhmXROMMhRQ4lCIKIBvLRIIgNjNPpxJkzZ2QnUY7joNfrg2JQSJlcKcomQRCpgIQGQRAEQRApg6ZOCIIgCIJIGSQ0CIIgCIJIGSQ0CIIgCIJIGSQ0CIIgCIJIGSQ0CIIgCIJIGSQ0CIIgCIJIGSQ0CIIgCIJIGSQ0CIIgCIJIGf8/C9wgbfPUFmMAAAAASUVORK5CYII=", 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", 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PlfKMUgNkEpmTSV2SMCEIgiAIIm8gHxOCIAiCIPIGEiYEQRAEQeQNK975dXp6GoODg9i0aRNKSkpynR2CIAhihSLLMkZGRlBdXY1Vq1au3SAvhYm6UBWgRI9cbI0XNcqiuj6Hus5IKt7Vg4ODqK2t1SvrBEEQBJERly5dws6dO3OdjZyRl8JEXVcBUEItGwyGBVcWDQQCCXOlPR5PynEPNm3aBEBpCBUVFRnmnCAIgiCWRiwWQ21trdYvrVTyTpioqzaq88kZhoHFYkFHR8eCkfnC4bBmNUkHdfimoqKChAlBEASRc1a6W0HeCRNAWQAwEoloQzEsy2qLAs7HUoK4EARBEASRX+SdMGFZFtFoNGFbsqW0ZxMIBAAoq1s2NzfP65MyPj6O8fFx7XssFsswxwRBEARB6EXeCZPZCIKASCQCj8czbxqz2aw5u6pribAsm3RYp6OjA88880w2s0wQBEEQxBLJ+8ivjY2N6OzsTMt3xG63w2g0Jl3RMJnFpLa2FsPDw+RjQhAEQeSMWCyGysrKFd8f5fVEabfbnZIomb0q5EI+KWvWrNEcXcnhlSAIgiDyi7wVJj6fD62trZoo4Xk+aTpRFOF0OiGKorZNkiRyhiUIgiCIAiQvhYkqQhiG0Va1FARB2y8IgubsyrIsPB5PghDheR7t7e3Lm2mCIAiCIDIm75xfJUmC1Wqdsz3e+bWrqythCW6bzQa3242qqiqEw2FwHJd2PBOCIAiCIHJP3ju/ZhtyNiIIgiDyAeqPFPLOYkIQRGExNTWF6enpZbveqlWrUFpaumzXKyTUiNkEUcjkpY8JQRCFwdTUFHbt3o3y8vJl++zeXYepqamslYnneTQ2Ns6Z7Zfv+Hw+RCIRAIofntfrhdfrhd1uhyRJWjqe58HzvLbGWLz/nnpsY2PjcmZdN7xeb66zQOgAWUwIglgy09PTGBwYgO/nb+ETdVswNHIHsdsT2LOjEmcHJVRtXIvK9eX4cFBCw45KjI3fxRVpDPtqDOi7MYK1q0uxjVmH9y9HYdpagWlZRv+NEezbacRVaRSTU9PYvXkTPhiIoprZgNWrpvGHD7CYnp7OmtXEYrGkvAhotknVAiIIAoxGozYJgOd5uFwuAEpn3dLSglAoBECJ83Ty5ElYLBZEIhHY7XaEw2EASgRtlmXniJV8IJW6cDgccLvdCwbkJPIfspgQBJExn6jbguE7UxiblLFv12aI10exzbAJVZUbcP76KO7btRkT0yW4cWsS99dtxaXoHWxctxY1Wypw9uot7K2pwqrVq3E5egf312/DzVsTkEtKsWeHEeeu3cKuLQw2bliLvptjy1KeqqqqZbnOQoiiiO7u7pTSdnR0aJMBBEFAR0eHts9ms0EQBC2kgt/vT5gcEN/Z22y2vJw4kGpdqGWJDx9BFB4kTAiCyJihkTuIjU3gnupKnBmQULVpxlIyIKGhesZSEh3DfTsNEK+PYG3ZjKXkUhSmbTOWkusjuK/WiCtRxVJSt2UT3r8cRbVhA9aWl+LclWHsqzHkuqjLRqpv/bPjNpnNZnR2dibsBwCj0QgACdYgv98Pp9OpQ26zSzoWkNbWVi2cBFGY0FAOQRAZE7s9gX27NmdXlOw04Eb0Vtp5E0URHMehubkZkUgER44cAcMwEAQBPM+DZVmIogibzZbQwUuSBJ7nIYoigsEg/H6/to/neQiCAJZl0dPTA4/HA57n4XQ64Xa7AQAcxyEUCs2b1u12w+l0atePvwbP89oq64AiJuYLGtnd3Y3m5uaEbfGLmHZ1dcFisSRYRgRBQFdXF6xWKxwOR9p1Ol8dqH4rZrMZfr8fkiShsbERFosFHMfpVhdGoxHd3d1gWRaSJGnnAhRh5na7taEsovAgYUIQRMbs2ZFlS8lOA6K3xhEdG188M3GocZFCoRAYhoHb7YbP59NiHwWDQS1tY2MjTp48qXXgPT09Wufm9/shCALMZjNEUYTb7dZ8NiKRCLxeL1wuFywWC0KhEDiOg9FoXDRtfAccfw3Vz8VkMi0qHMLhMJqamuYtfyAQ0K6vYjabwbIs3G43AoHAvKuxz8dC5YpEItp2tc4dDoeudeH1erV96rnimf2dKCxImBAEkTFnByVsM2zKrigZHUfDDiatfKlv1arYUCNCd3R0zPGlYFkW3d3dWucXb4VgGEbr7FTREb9MRk9Pj5ZO9U9Rxc98aauqqhJ8WeKvkQ4LOYWq4ivZfoZhYLfbYbVaEY1G05pmvFAdOBwOGAwGcByXMMy00DHp1oXNZkNjYyNYlkVra+uSrT5EfkLChCCIjNFm32RRlOytZvDexRtp5Wt2p61XjI/4t3UACR3j7CGXhdKmykLig2GYhOnAKl6vF263WxvuAIDe3l7Y7XZEo9GEvIqimLbT60LlOnLkiDbdOn67XnVhNBoRjUa1ISm73Z5g/SIKG3J+JQgiY5ZDlJwZlGBYvyatfKkzUuLheR6tra1zFgYVBAFHjhxZ9JzJjo3/Hv+mv1jaVFnoGJPJNGcWSiAQ0IZrJElCd3c3GIaB0WhMEAaCIIBhmKSiJJnYUVmsXOqUXdXhNpVjUoXneXR0dGhiyuPxzBFt8dclCg8KSU8hgAliyUxOTqK8vByd//st7KutyjhOydryUpy7qsy+UX1KGnYwOHtFESWb1q7CgU/UYWJiAmVlZSnlked5BINBbWhGdQSd7YiprmYuCALa2toAAJ2dnZpvhNoJsiyb9Jy9vb3a0I3b7dYEQLK0oigueg1RFOHxeDTn0fmcX1XnXtX5UxRFmEymhDQMw2hWkkAgoImnYDCYsAiqmlfV96O5uXle/5P56lXFbrejs7MzYZtedREIBDShFYlEYDQaE6ZLx8dxKSSoP1IgYUINgSCWzNTUFHbt2o3BwYFlu2ZNzU5cuNBPYenjsNvtCbOGVjLxM3wKDeqPFMjHZIaxsTGsXp276li9ejXKy8tzdn2CWAqlpaW4ePECrZWTY5xO55Jm1xQb6vBTIYoS4iNImMywY8eOnF6/tHQVxsZukzghCo7S0lISCjnGYrHA5/Ot+EX8Ojo6KBx9EUBDOTOmsytnfomqkSBQ/zWg73lgtx0Y+Bmw5TPAyBmg3ACsKgfGLgOG/cDVk0DtV4D+F5Vj+l8Eag8CV18HjPuVdKvKgHIjEDsLbHkQGPi5ct6+55VjLviBmi9g8sqvsOGB/4DR0VGsX78+11VCEESBstKFSaFDQzkKZDGZoezKKygzO4G+HwF7HgEGXgGqP6uIkg1bPhIlW5uBqzzA2oD+F4CGryt/WbuyfVuzkm7NuhlRcgaoPgAM/JNy3r4fKcdc6ALq/gS48QZg3Jfr4hMEUQSQKCGKgYynC//FX/yFHvnIPbuPKKJhd6siSrb8/jyWEh6o/VNFjNQ/iuP/rwt7D/09jnMdgNE8y1JyBtjyaUWU7G5Vzl//qCJKar6kiJKKvcAERSkkCIIgCEAHYdLV1YWjR48iFovpkZ/ccaE7bVGC/hdw8FEXzp6/gIO2f7t0UTI9mevSEwRBEERekPFQTlNTE9ra2tDV1QVRFNHc3IxDhw7pkbflZdfBtEUJag8B519Rjh8bACorlyZK1u/MadEJgiAIIl/IWJi89tprAKAFyOnr68P3vvc9RCIRtLa24oEHHsj0EsvD4GtAw8PpiZKrPGD4PeX4pVpK1u8ErvXktuwEQRAEkSfo7vxaX1+PJ554AgBw8uRJtLe3o6qqCjabDXV1dXpfTj82P5i+KDGagWtnlePLDUsTJREB2P753JadIAiCIPKErM3K6e/vB8/z2gqTwWAQr776arYulzm3zgHbdqUnSlSfEgAYOQfUtyxBlFgAkSI2EoXL1NQUBVgjaKoyoRsZO7++9dZb2v+xWAzPPfccmpubYTKZ4Pf74XA4EA6H81uUAEAZszRRUm5Qjq/61NJEyaWXgLqv5rToBLFUpqamUFe3G+Xl5cv2qavbjampqVwXfdnheR6NjY3aqr160djYiEAgkNE5fD5fwuKFKm63O2ExQHUdHJ/Pl9a+QsDr9eY6C0VDxhaTjo4OtLa2guM48DwPWZbhcDjg8/mwf/9+PfK4PCxJlBgxeuk3AIBR8aeoaGpbgih5BDj7g9yWnSCWyPT0NC5fHsDowG9RNvQvaQcXxI03gYqGWb+P08rw5qWXFdHe97zy99JPMFn1WWzYdQDT09M5tZrkwjpgsVjQ2tqa8Xlm593j8aCpqWnJ5xMEAUajcU4YeEEQ4PV60d7erm2zWq0IhUJgGAaCIMDtdoPjuEX35ZpU7rfD4dBWVSYyI2OLid/vh91uhyzL6O7uxvT0NI4dO5aRKJEkCV6vF16vF1arNSU17/V6EQgEtL/pMnIjjNjqexA7/wpilVbE3v0HxKoOIvbu3yNW+ZCyvWwvYtfOIjY6idj4GlwJ/wYHHv3vAIAD/+5FXPnt3ynHvPdDxDZ9FrG+k4iV7ERs6DJiw8OITRkQu/gGYusfROyDFxAz/jFi7zyHWNWX084vQeQTZUP/grJtzSibvIqyNetQtmErym6HUVZ9AGXXX0PZnkdQdvlFlDV8HWWDL6Gs7k9QJvWgrOo+lMkxlJXKKKusQ9nI2yirfRhlV3+KsnseVY6551GUXX1F2X7rnVwXFaIooru7O9fZWBLJ8j57VeB06ejoSLpGjyiKCWKF53kAHwWBM5vNmvVnoX25JtX7reZdFMUs56j4ydhiYrFY4Pf7UVlZqUd+ACBBKTscDhgMBoRCIZjN5qTpnU4n7Ha7tsy43W4Hy7Lzpk9G/eefivv2zMxfVfl2LHp8uO8iqi3fB/D9mS3fSeGq6nlJYRMFzhxLyVIdweMsiX0/Uv5e+rGyPXo6L6bWezweNDY25jobS0LvvEuSlHTBPHVBQbfbnZA2GYIgLLgvned4NkinzlpbWxEIBOByubKcq+ImY2HidDp1FSWiKEIURc10xjAMLBYLOjo65l3W2+fzJZj8rFYrOI5LywzY97+fgPFjrcBFv/IgvegHav4EuP4LZUrw2MBHPiUj54CqT2FU/CkO/LsXEe67CFP9Lpz6H1/FBvaPgaHfAJvuASaiMw/dGiD6O2Dr54CBfwR22ZUH9C47MPBTTBoPYHODJcOaI4gcMnsZhmyJkvGxtLLF8zycTicsFgusVisikQhCoRA8Hg8YhtH2qx0ox3EIhUIQBAE8z4NlWYiiCJvNBpZlwfM8ent7NX8Ki8UClmUXTO92u+F0OrV9wWBw3mdZfL4FQQDLsujp6Zl3eCAQCIBhGIiiiHA4rKWTJAnd3d1gWRaSJKGnpwdWq3VO3iVJQltbG5xOJxwOBwDlGcxxHJqbmxGJRHDkyJF5LSrd3d1obm5O2DbfsIfZbE6wJgiCAACIRCIL7ku1fgKBANxuN8xmM/x+PyRJQmNjIywWi9YXJDtuoXuU7H4bjcY5davWu9lshtvtJmGSKXKWOH36tDw8PCzLsiz39fWlfFw4HJYZhpHD4bC2zeFwyGazOWn6YDAoMwyTsI3jOJll2ZSuNzw8LAOQb/b9WpZ/9x9lOXZOlt9+Rpaj78jyB9+X5Wu/lOW+52X5QrcsX+Fl+cx/k+XIaVl+5zuyHDsnD/L/QQYgD77uUraf+W9KugvdynHXfqmcJ/qOct7YOeU6wx/K8rsdsnyzR554/+9kAPLo6GjK9UQQ+cDExIQMQJ44/0LS34f2m3rnO0v+fcjnfLI88DNZvvSyPPFhp3K9iYmU8+hyuWSPx6N99/v9ssVi0b47HA7Z4XBo+8LhcMJ+WZZls9ksR6NR7Xwcx2n7Uklvs9m0fRaLRQ6FQvPmNxwOJzzvOI7T8u/xeBKuDUB7VjocDtnv92vpgsFgwjmS5X32OaPRqMyybELe4+tuNi6Xa05Z4s8ff674a0WjUdnv98sAtOMX2pdq/XAcp93L2XlZ6LiF7tHsOpuvblXm66tSQe2P1L5zpaL7dOHTp0/DbrfDYDCgvb0dhw4dQigUgiiK+PznF4/XwbIsotFowjae57VhmtkkMwEajcZ5lfb4+DjGx8e171oo/QsnALNzQUfXZG+CG+59FMD3FUtJAZunCSIjsm0pmZ5QLJCb9i4pe/Fv8DabDXa7PcEqW1VVpe1T37rjYVkW3d3dmlUhHo7jFkxfVVWlnV/Ny3zPJ/V8RqNR87sAgJ6e5EEYo9GoZjGJRCKa1cFms6GxsREsy6K1tTVpvpOhWgLU+op3XE3GbOsIz/M4cuTIvOldLpdmFVef6epQ0EL74lmoftShfzVMRfzxCx2Xzj1aat0SqaO7MOnu7sb58+cBACdOnAAAHD58GC+99NKSzicIAiKRyLymzEgkAqPRmLCNYZh5xyw7OjrwzDPPzN2x+0jaogT1jwLv/VA5fug3QPUDy2KeJoi8I3b2o1W0sylKBn+Zlewn6wBTIdMprerwkpoHdYjHbDYnvIzN1/l1dHRoASzjy2A0GhGNRiEIArq6umC32xEMBufkffaQy+xtiznFJnvWxjuKiqKozdxUh2vUfKr+I/FOo/Ptm81C9XPkyBHNcXZ2vaVar/MhSVJKdUtkRsazcmYz37Szhd4QFqKtrQ0nT56ct4HOFiXAwlO72tvbMTw8rH0uXbqk7Lh4In1RcqEL2PGwcvymezJ76BJEATPJNGGy/x8xWX0Ik2d/gMmdX8Xk+RcwufUhTA6ewuQ6EyZHr2Ny/DYmy7Zj8loPJqs+i0nRj8kau3JMjR2TYgCTVZ/D5PUeJd34GCZHb2ByrQmTg7/E5NaHlpS/+M4zEAjMmYkS/3xqbW1NeKsGlI4ymSWA5/m00s8mGAwiFAohFAppoiTZ+eK/q2VR/SVcLpfm76Bu7+jogCiKMJvNmj9NsrzPPqfNZtP8O5Klm43JZErwDbFYLHA4HNoHUPwQVYtSY2Ojdi2O4xJeOBfaF89i9aNO2Z3dNyx2XCqkUrfJ+iQiPXS3mPT09OChhx7Cpk2bUFJSAkCJAtvb24tvfOMbaZ3L7Xajs7NzQa/sZCa3ZFYUlTVr1mDNmjVzd+z8UvqipOZLQN9J5fiJKFBWtqzmaYLINatWrcLOnTXYsPPTM1uenvn77KzvC/HtWcf81QJp27FzZw1WrUrvnSocDoPnec1ZURUBPM8nOERaLBatw/F6vZqTpN/v1zogp9MJj8cDn8+nOb/Ol159qwaUTlsURQiCAI7jwLJsUkuNen232605llosljnnampq0hx4AWU2onreqqoq8DyvDWur8U9m5109p9Fo1KwuHMfNufZ8qI6ls6cLS5KkWS08Ho8mTlRn00gkkjCTUk03375U6kdFnZE5+/hU63X2PZpdZ6IoJq1bQBGkVqt13voiUqNElmVZzxP29fXBarXCYDBo2yRJQigUQkVFRcrn8fl8aGpq0kTJQn4mJSUliC+G1+tFOBxOaVZOLBZDZWUlbr7xHVSZDqQ95TFWshOVDV/B8NudqNjWsCRRMjn4S5Q/0I7R0VGsX78+5ToiiHwg30PSu91umEwm8gXIEna7fdFZRiuF+Nk9S0Htj4aHh9PqL4sN3Ydy6uvrcf78eTgcDrS0tMDhcODcuXNpVXJ8sB1VvcabFwVBSAiiZrPZEkxywWAQTqczvYwb7l9iHIaZYZj1NUuzlNz4V6Dmi+nllSDyiNLSUpSVlS3bh9bJyS+cTmfGIe2LAXUYaqmihPiIjIdy+vv7k64a3NbWllK62UiSlNQUFj/e2NXVBUEQNPOh3++H2+3W4p/Ej2mmzO1BYL1xabMLACVOyZ4vL0GUfBk4/0J6eSUIIiXih2riLbCEflgsFvh8vhW/iF9HRweFo9eJjIdy2tvb0dGxeGTUo0eP4vHHH8/kUllBG8o5/RyqttelLUqOv/Iunv3Pz+Ep9/+Dxz5zN31RcqELkzu/ivKqfTSUQxBEwbLShYke0FCOQsbCZNWqVSmF6xVFEUNDQ5lcKitowuS9E6hafXV54jDEiRLUP4rJsz9AedN3SJgQBEGsYEiYKGQ8lNPS0gKDwTAnLPFs8n7Rq5HzQMNDyy5K0PcjZdXVlNbWIQiCIIjiJmNhEgwG0dfXpzmnWq3WwlR6m5tzJEpagf6f5Lr0BEEQBJEX6D5d+PTp0+jr6wPDMCmFoM812lDOv7Sj6oE/X35RMvAKJpkHUV7zBzSUQxAEsYKhoRwF3QOs7d+/H/v37wcAnDx5EsPDw2BZFg888IDel9KX2j/NiSjBlt8HIu/luvQEQRAEkRfoHscknpKSErz22mswm80J0fHykgvduRElI2eAcsPi+SMIgihQMl1TiFhZ6C5M+vv70d7eDqPRCLvdjpKSEoRCIS3kb96y+0juRMmq8lyXniCWzNTUFCYnJ5ftMzU1lesi5x08z6OxsVELA68XjY2NGQdP8/l82rIhoijC6/UiEAjA6/UWnGDxer25zsKKQJehnFgsBp/PhxdffFELfOb3+9HS0qLH6ZeHSz8GPn4kN6JkpD/XpSeIJTE1NYW63XW4PHB52a5ZU1ODCxcu5EUE2HyJ3WGxWHSxSs8uj8fjmXdh1lQQBAFGo1GLhmq32xEKhQAoIqWtrS1vwtmnci8dDoe2SCCRPTK2mDz88MMwGAzo6urCN7/5TUxPT6O7u3uOKGlvb8/0Utml2pobUTJ2GTDsz3XpCWJJTE9P4/LAZQyeGcTgO4M4dfQUxsfH8cZ/fQMXey4icikC/mked8bu4PTzp3Hm1TO4Fb2F1556Dbeit3Dm1TM4/fxp3Bm7A/5pHpFLEVzsuYg3/usbGB8fx6mjpzD4ziBuhG/gn7/zz7g1cgsDAwPLujbPfIiimP9hENIgWXlmr8KcLh0dHVqE7vhViAEldHu6q/tmi1TvpVoXs8tC6EvGwiQYDOKJJ56Aw+GALMt47rnntE9nZyeee+45PPnkk7qbGHXnZk/uRMnVk7kuPUFkxBn/GayvXI97v3wvhL8T8OD/9SCu9lzF+NA4PvUXn8KbR9/E/Ufux6Q0ievCdXy2/bP47fd/i7rP1KFyeyXO//Q8/vCv/hBv/8PbMNQaUH+gHr/7H7/DZ771GVzgLwCTwP7H9qPnb3tyXVSNYntr1rs8kiQlrBujrsgbj9FoTFgHLVekU/bW1lZaGyjLZDyU43K58N3vfnfRdHmvMDftyZEo4YHar2Dhpd4JIr/59OOfxm+//1t84mufwJ4v7MFv/vY3+NRffgq9x3pR++laNDoacarjFA60H8AHL32Agd8M4DOuz+BX3l/hM67PYOA3A/jgpQ9woP0ATnWcQqOjEbWfrkXvsV586i8/hd/87W+w5wt78PF/8/G0fio8zyes+CqKIoLBYMLwgbqWDsuy6Onpgcfj0Y5rbW2Fy+VCIBCA2+0Gx3GwWCzgeR69vb2a74TFYoEoinA6nXC73QAAjuMQCoUgCAJ4nteub7PZNGvBYnmbr0yz85uMQCCgLYQaDoe1dJIkobu7GyzLQpIk9PT0wGq1zimPJEloa2uD0+nUVmYWRREcx6G5uRmRSARHjhyZ16LS3d2dEHhzPn8S9ZqpllW9F2azGX6/H5IkobGxERaLBRzHLXg/k9V1sntpNBrn1JFaf2azGW63Gy6Xa/6bRGSGnCGCIOiabrkZHh6WAcg3Tz8ny33Py/K1X8ryB9+X5eg7svz2M7IcOyfLv/uPsjz8oSy/2yHLN3tk+ZxPlgd+JsuXXpbl8D/I8vU3ZPk9ryxL78vy756W5dh55a/0vrL9+htKuksvK8ed8ynnebdDloc/lCd6n5IByKOjozmtC4JIl4mJCRmA3PP3PfL01LR8quOULF2U5Bsf3pB//f1fy9PT0/Jv/+638pW3rsgjV0fkX3z7F/LU5JT8bte7snhSlMdvjcuv/8fX5fFb47J4UpTf7XpXnpqckn/x7V/II1dH5CtvXZF/+3e/laenp+Vff//X8uA7gzIAeWJiIuU8ulwu2Wazad8tFoscCoVkWZblcDgsm81mbR/HcbLH45FlWZY9Ho/2vyzLss1mk4PBYMJ5OY5LuJbD4ZAdDocsy7Ls9/vlcDgsWyyWhDRms1mORqOL5i0Zi+U3Pj8A5HA4rOXL7/dr6eLLoR6TrDzx54xGozLLsgl5j6+f2bhcroSyeDyeOXXBsqyWr3TKynGcVs/xZVjomIXqenbZ56sjlfhr6InaHw0PD2fl/IVCxhYTNWaJXulyhnw3B5aSPwX6XwDqvwbg2VzXAEEsGQNrwNvPv61ZQbJlOfnVf/lV2nmrqqpCVVWV9p1hGO3tmOM4GI3GBF+Hnp6lDxcxDKNdy2azaW/28bAsi+7ubjgcjgXzlox08huNRjWLSSQS0azWNpsNjY2NYFkWra2tmjVkMVQLgmohWcxvcLYzabKyRSKReS0uC5XV4XDAYDCA47iEIaOFjkmnrpdaR4Q+ZORjMjw8jCeffBJvvfWWTtnJIeuqcyRKHgX6X8x16QkiI7betzVBnLzz/DsoW1+miZOmbzbh0huXcOvqLU2c7Du0D2M3xxLESc2narB+83pNnIR8IWzcvlETJ5/895/UPe9msxkWiwUWiwUOh2NJs0Tihyni/SoywWq1orGxEY2NjbDb7dr2VPPb0dGhTW+Nz5PRaEQ0GkVnZyeGhoYSzp2sPPHbZguNhRxjGYZJOI/FYkmabqFZPwuV9ciRI/D5fOju7k44d6b3U5KklOqIyB4ZCZPKykq0t7ejp6cHR44cwdGjR9Hf369T1paZ6Ns5EiUvALUHc116gsiIN//2TWz9WPbFScgX0jXfra2tc2aGqN8ZhklYEZ3n+Xn9JOLPEf8Wnuz8giDgyJEji+YtGAwiFAohFAppnetC+QU+EhSqn4XL5dL8JNTtHR0dEEURZrMZHo8nqbhIdk6bzTbHUXWhWTUmkynBt3C2YBNFEU1NTfOKm8XKqk7bjXeoXeyYVEiljmY78RL6outaOX19feA4Dn19fbBarThy5Ejex/vX1soJ/wuqRv85B6LkECYvvYry+x+ntXKIgmNychLl5eUYHhrGb/7Lb/DgXz6I6+9fR1SM4v5H7scbR9/Ax//NxzE5Nonwq2F88t9/EiFfCDsf3ImN2zdCeE7A77t/Hx/8+AOs37weNZ+swRtH38CnH/80Bn47gLGbY9j3p/vwr55/hfkbZkQvR2H6P0yYmJhAWVnZovkTBAFtbW0AgM7OToiiqA2veDwezQk1GAxqjprqFFlJkuB2u7W3ZXXYgOM4zYHS4/FojpfquY1GI9xut/YWP9sZs7W1FWazOaW8JSNZftWYIOq5WJbVHFdVOI5Da2srRFEEwzAwGo2IRCIwGo2w2WxzyqM6vxqNRq3M89VVMlRH2Xjn3Hjn2Z6eHrS3ty9odVnsena7HZ2dnQnbUqmf2XUNIKHsquPw7DoCoDkzZ8P5ldbKUdB9ET+V06dPg+M4lJSUwGq14tChQ9m4TMZowuSXblTt/8ayixJc5TG56X6U72whYUIUHFNTU9i9azcGBgeW7Zo7a3ai/0J/XgRYIxbGbrfnTQA1vYif3aM3JEwUdF/ET2X//v04duwYAGUxv29+85soKSmB3W7Pz1WHdx3OiSiB0QwM9+e69ASxJEpLS3Hh4oVlDXi2atUqEiUFgtPpRCAQ0KwNhY46rJUNUUJ8RNaESTwtLS1aJNjOzk4cO3YMn/zkJ/H4448vx+VT40I3sP8byy9Kxi4DqxY3SRNEvlJaWkpCgUiKxWKBz+fLm9D9mdLR0VF0gfXykawN5RQK2lBO369RNfqLnIiSyZIKlO/6IxrKIQiiKCkWYZJtaChHQffVhQGlclVeeuklvPTSS9m4jL5c/qfcWErKjUDsbFpZPX78OPbu3Yvjx49nqTIIgiD0g0QJkQ66CxN1bvnw8DAefvhhdHV1YWhoCEePHtX7Uvqy7XM5EiVngC0PppXVgwcP4uzZszh48GBWqoIgCIIgcoXuPiatra04fPgwTp8+DZ7nMTU1BUDxLclrpN8BNftyIEo+DfT/Y65LTxAEQRB5ge4WE4PBAECZS646vAJICAW8GOoc81RWJBZFUQv6I0nSgkGQFmRdTW5EycA/AbspqiBBEARBAFkQJqFQCC+99BI4jsM3v/lNAMCJEydSXl1YDUYkCEJKAiMQCKCxsRElJSUwGAwQBGFp45k5EyWtQN/z6eeXIAiCIIoQ3YdynnjiCXR2doLjOLS0tODkyZNapMFUUKMldnV1pXzNcDgMSZLmLJaVFpMSsKkpB6LkR7SIH0EQBEHMkJU4JmroXyAxhkm20CXYzcZ7ciRKHgXOv5B5/gmCIAiiCNBdmDz33HP4xje+oX0/ceIEAKCkpCRrYekDgQAAZXnr5ubmBaMMjo+PY3x8XPuuTW2++Sbw8dblFyUXuoCaLwB4Oit1QxAEQRCFhO7CZLZfyOHDhwEga9OFzWaztkKlzWaDyWQCy7LzDut0dHTgmWeembuj+qEciZIvAYOn0irz6Oio9nclB+EhCIIgig9dhMn3vvc9zbm1t7cX4XA4YX86PibpovqkqJjNZnAcB47jkqZvb2/Ht771Le17LBZDbW0tcPFlwOxcflFy4w2gokHLy927dxcs7+joKA4cOAAAOHDgAE6dOoUNGzYsWk8vv/wyHnvssUXTEQRBEEQu0UWYPPHEExgeHobb7YbBYJhjrbDZbFnzM/H5fHA4HNp3dWnu+VizZg3WrFkzd8fuIzkSJXuB0esAgB07dqRV9nA4jOrq6pTSNjQ0kDAhCIIg8h7dhnIqKytx7NgxnDhxQhu+yTaiKMLpdMJisWgOsJIkLc0Z9kI38MD/ufyiZCICTE8CAK5cubLoWjmqxSQcDsNkMqVlMSEIgiCIfEd3H5P5REl7ezs6OjoyPr8gCBBFETabDSzLwuPxJAgRnufh9/vTP/Gug7kTJet3AgAqKioWFSYVFRU4deoUqqurcerUqZStLGQtIQiCIAoB3YXJiRMn4Ha7EY1GtW2yLGN4eDglYaIGWON5XvNbUUUIoMQ3EQRBm3ljs9ngdrtRVVWFcDgMjuOWFs9k8DWg4eHciJJrPWllVbWQpGIpIQiCIIhCokSWZVnPE37zm9+E0+lMsGLIsownn3wSx44d0/NSuqAuM33zw5+jquzq8ouSiIDJqs+ifKsZo6Oji1pM4vO80pfGJgiCKCbo2a6gu8XEbrdj//79c7a73W69L6Uvt84B23YtuyjBdgsgLmHoiSAIgiCKEN3XyikpKfkoaFkcJ0+e1PtS+lLG5EaUXHoJqPtqrktPEARBEHmB7haT7u5uOJ1OMAwDo9EIQBnKCYVCCRFh846ciZJHgLM/yHXpCYIgCCIv0F2Y9Pb2wuVyaaJEZb6AZ3nD7QFgxx8svyjp+9GMxYQW8SMIgiAI3YWJx+NJGkxNl4X2sgnzezkSJY8AYiDXpScIgiCIvEB3HxNVlLz11luar0l/f39Sh9i84tovciNKLv0Y2J5eVNyXX34ZDQ0NFDSNIAiCKDp0FyanT5/Gnj170NbWpoWGD4VCeP311/W+lL7s/FKORIkFiJ5OK6uPPfYYzpw5Q0HTCIIgiKJDd2HS3d2N8+fPo6enB2qIlMOHD89ZdTjvuHAid6JkJvIrQRAEQax0dBcmTU1NSbdHIhG9L6Uvu4/kTpRMT+S69ARBEASRF+guTHp6ejAyMgJAiWkCKD4mvb29el9KXy6eyJ0omYgunj+CIAiCWAHoHpK+r68PVqsVBoNB2yZJEkKhUF6G2NVC0of/BVUToZyIksm1JpTX/EHKIekJgiCI4oNC0ivoPl24vr4e58+fR2dnJ8LhMEwmE9ra2vS+jP5c+xfAdGD5LSWb9gKDv8x16QmCIAgiL9BdmBw9ehSPP/54YYiReAz350aU3PhXoOaLANpzXQMEQRAEkXN09zH5m7/5G7z00kt6nzb73B7MkSj5MnCBFvEjCIIgCCALwqS9vR0tLS3o7OzEc889h/7+fr0vkR1KVudIlHQB9V/LdekJgiAIIi/Q3fl1Nq+//jo4joPVas3LRfw059f3TqBq9dUciJJHMXn2Byhv+g5u3LiRNefX1atXo7y8PCvnJgiCIDKHnF8VdPcxeeutt/DAAw+gv78fx44dg8/nA8uyaG1t1ftS+jJyHmh4aNlFCfp+hFX1rVhb/l1s2bIla8UrLV2FsbHbJE4IgiCIvEZ3YWKz2WAwGCCKIhwOB0KhEOrr6/W+jP5sbs6JKMHuVpQOvIJbF/4Z08MfAuUGYFW54ohr2A9cPQnUfgXof1EZ8ul/Eag9CFx9HTDun+WwexbY8iAw8HNgtx3oex6o/xomwy9iwye/jbt375IwIQiCIPIa3YUJoPiZHDp0KBunzh6DQeCBP192UYKBV4Atv4/SkTMo3bDlI1GytVkJ9sbalIi0DV9X/rJ2Zfu2ZiXdmnUf+cZUH1DE1Z6ZPDV8Xbne7i8D+HaOK5ggCIIgFkd351ePx1N4ogRQVhbOkSjByJkklhJex9WO38x17RIEQRBESmRsMYnFYhBFEaIogmVZHD58GAAwPDyM7u5uDA8PAwBYls1vwXKhGzA7i1CUvAFUNOS6dgmCIAgiJTIWJgaDAS6XC+3t7QlexJWVlVqQtUAgALvdjqmpqUwvlz12HylSUbIXGL2e69olCIIgiJTIWJi0tLSgo6NjwTQ2m02zpOQtl34MfPxI8YkStRwEQRAEUQBk7GNiNpu1/0+cOIEjR46gubkZR48eTQiuxrJsppfKLtXW4hUl63fmunYJgiAIIiUytphUVVVp/x8+fBgtLS148skn8fjjj8+bbjFEUQTHcTCZTHA4HIum93q9YFlW83Ox2WypF0DlZg+wu7E4Rcm1nvTrgyAIgiByQMYWk5KSkoTvDMNgz549i6abD57nIQgCBEGAJEmLpnc6nTCbzbDZbHC5XOjq6oIgCCldK4FNe4pTlEQEYPvn06+POI4fP469e/fi+PHjGZ2HIAiCIBYjY4tJMBiEwWBAfGT7YDAIhmES0nV1dc2xoiTDYrFo6VPB5/OB4zjtu9VqBcdxCdtSYiIKTK8rQlFiAcTMFgk8ePAg/uzP/gwHDx7M6DwEQRAEsRi6CJNkQqSn56PhA0mSUraYpAPP83Ouq25PG/lucYqSSy8BdV8FBVgjCIIgCoGMhYnD4cCxY8cWTffkk09meqk5JBvqMRqNiEQi8x4zPj6O8fFx7XssFlP+WVddpKLkEeDsD3SueYIgCILIDhn7mDidzpTSZWMRv0gkAqPRmLCNYZgFfVM6OjpQWVmpfWpra5Ud0beLU5T0/WjGYkIQBEEQ+U/GwmT//v26pkuH2aIEUKwoyYZ3VNrb2zE8PKx9Ll26pOzY9gdFKkoeAS79RPe6JwiCIIhsoPtaOcsJwzBzhm2SWVHiWbNmDSoqKhI+AIDL/1SkouTHwPaWjOp5dHQ04S9BEARBZIusrC68XFgsljnDNpIkaTN70mLX4SIVJRbguuKIHIvFcPfu3bSqZXR0FAcOHAAAHDhwAKdOncKGDRvSrt6XX34Zjz32WNrHEQRBECuLghMmgiBAFEUtiJrNZgPP85oYCQaD8Hg86Z/4Qjew/xvFJ0rUcgDYsWNHRnUfDodRXV29pGMbGhpImBAEQRCLknfCRA2wxvM8RFEEoIgPNaS9GkBNFSZ+vx9utxuiKEKSJC3gWtrsPly8omR8DABw5coVrF+/Pq1qUS0m4XAYJpMpI4tJqhw/fhzPPvssnnrqKRIzBEEQK4wSOT4ymk7EYjHNd+Oll14CABw6dEjvy+hCLBZDZWUlbp76K1Tt+0rxiZLpCUyO3kD5vW0YHR1NW5gAiqCprq7G4OBgxlaXVFDvyfDwcMKK1QRBEMUMPfsUdHd+PXLkCHw+H4aHh/Hwww+jq6sLQ0NDOHr0qN6X0pdtnytKUaKVIwNUC8lSLCUEQRAEkQ66D+W0trbi8OHDOH36NHiex9TUFACgs7NT70vpi/Q7oGZfcYqSwV/munYJgiAIIiV0t5gYDAYAiq9IS8tH01TTWV04J6yrKU5RcuNfgZov5rp2CYIgCCIldLeYhEIhRKNRcBwHr9cLADhx4gT6+vr0vpS+TE8AE7eLUJR8GTj/Qq5rNy3i46as5HFWgiCIlYjuFpMnnngCkUgEHMfh0KFDOHnyJERRRGVlpd6X0pdJqThFyYUuoP5rGVXNyy+/jIaGhrRm1szm+PHjiMVii36uXLmSEDflypUrKR13/PjxjMpIEARB5Ac0K0edlfPhz1E19U4RipJHMXn2Byhv+s6SZ+Xowd69e3H27Nmsnb+hoQFnzpzJ2vkJgiCyDc3KUaBZOSo33yxKUaKUw57r2sVTTz2VsEbRfJ/BwUGYTCYAgMlkwuDgYErHPfXUUzkuIUEQBKEHultMTpw4oc3KaWpqSpiV09bWpueldEGzmIi/QtXIa0UoSlox2f8TlD/QnlOLSTosd9wUgiCIfIAsJgo0K0fl4stFKUqUcnwm17WbFhQ3hSAIYuWSlVk5kiQV3qyc3UeKVJT8PhB5L9e1SxAEQRApkZVZOUNDQ4U3K+dCd3GKErUcBEEQBFEAZGURv7a2Nrz11luIxWJoaWkBy7Kor6/PxqX0Y9fB4hUlU7rrT4IgCILICrr3WKdPn8aePXvQ1tYGnucBAIIg4PXXX9f7Uvoy+FpxihK1HARBEARRAOhuMenu7sb58+cBKL4lAHD48GEtnknesvnB4hUlhv0AgLGxsZxV7+rVq1FeXp5S2viAbo899liWc0YQBEHkE7oLk6ampqTbI5GI3pfSl1vngG27ilKUrBp4DWvWlGPLli05q97S0lUYG7udkjh57LHHSJAQBEGsUHQXJj09PXjooYewadMmlJSUAAD6+/vR29uLb3zjG3pfTj/KmKIUJbjKo7TuMEZ/fRvTux8B+l8Eag8CV18HjPtnleMssOVBYODnSlC2vueVcPYX/EDNF4AbbwIVDbPKcRrY/nng0stA3VeVY+q+Clz6CbC9BYiexmT5dmzYcwh3795N2WpCEARBrEx0D7DW19cHq9WqxTMBAEmSEAqF8jJgjBrQ5orwP1G1NjbTmZ8Ear+idOL1X1uWznwV+whKB/9Rd1GSD+JqcnwM5aytYAK8EQRB5AIKsKaQlbVyAMDn80EURZhMpryM+KqiNoRcU73NiItv/wylsbeLSpRgegKTozdQfm8bCROCIIgFIGGikJXpwgDgcDi0//v7+1FXV5etS+nCq2++g4FbJTBtrcC0LKP/xgj27TTiqjSKyalp7N68CR8MRFHNbMDa8lKcuzqMfTUGRG+NIzo2joYdDM5ekWBYvwaGjWvwwUAU92yvxJ2JKQxKo9hXY8CFmyMoK12F7cwGfHA5grotm7CqpARnByNo+6MHMD0koLSyrqhEiVYOgiAIgkgB3acLnzhxAqWlpQnTg8PhcN5PFz5/bRR7a6qwavVqXI7ewf3123Dz1gTkklLs2WHEuWu3sGsLg40b1qLv5hg+UbcVI+PTGJmYxsd2bYF4YxRbKjdii2Ejzl27hX21m3FXXoXrtyZwf91WDEh3sG7NGtRuYXDu6gj2VBtRXl6OC5Hb+ETdjFNqkVlKPirHr3J7cwmCIIiCISuRt86fP4/Pf/7z2veWlhZIkpSNS+lG/ZZNiqXk+gjuqzXiSlSxlNRt2YT3L0dRbZixlFwZxr6dM5aS0XHsrWZwZlCCYcOMpeRyFPfsmLGUREdx304D+m8olpIdhg14/1IEdVsVS0n4Wgz31RpwTbqtZKIoRcm/AjVfzO3NJQiCIAoG3YVJNBpNGuU136cL51KU3LmrrMBcnKLky4ojMEEQBEGkgO7CpLe3F7/73e8Str311lvo7e3V+1K6cvHmrdyIkskp1G/ZpGSiKEVJlzJLiSAIgiBSQHfnV4/Hg5aWFvT19YFlWYiiCKPRiFAolNZ5vF6vdjzLsrDZbPOmFUURkiTBbDZDkiT09vaiqakJDMOkfL29NYaciBJ26ya83X9dycSNXwF1XykyUfIocPYHad17giAIYuWiu8WksrISvb296OrqgsPhQHd3N86dO5fW1Cen0wmz2QybzQaXy4Wuri4IgjBv+kAggMbGRpSUlMBgMEAQhLRECQBcG86NKHn/chQ7mJkptDVfLD5R0vcjJb4LQRAEQaSA7sJEnX1jsVjQ1taGlpYWAMBzzz2X8jl8Ph8sFov23Wq1guO4BY8Jh8MIhUKQZRkulyvtfE9OybkRJYb1WL9mxnB1wV+EoqQVGPhZ2veDIAiCWJnoLkw8Hs+cbcPDw4sKCxWe55NaO9SViueDZVmYzeaUrpGM2qqNORMlZ68MK5mo/1oRipJXgC2fWfJ9IQiCIFYWuguTnp4etLe3a99PnjyJ+vp6iKKY0vHJphUbjcZFZ/UEAgEEAgG43W4EAoF5042PjyMWiyV8AODsoJQbUTI4jHurGSVzfc8XoSiZKQdBEARBpIDuzq99fX2orKzE0aNHEQ6H0dvbm5bjayQSgdFoTNjGMMyCcVDMZrPm7Gqz2WAymea1oHR0dOCZZ56Zs3175frciJIaBkPDo0omdtuLU5SUG+bUN0EQBEEkIytxTN566y0cO3YMQ0NDePLJJ1FfX580tkkyZosSQLGiLOTMarFYEvabzeZ5h47a29sxPDysfS5dugQAORMlw2MTGLp1R8ncwM+KU5SsohWFCYIgiNTQXZiYzWbY7Xb4/X50d3fDbDbjySefxB/90R+ldDzDMHOGbZJZUeLx+XwJ31mWnTduypo1a1BRUZHwAYDwtVhuRMnIHTSoQzlbPlOcomTsckr3niAIgiB0FyaqKNi/fz8AoL6+Ht/97ndx/vz5lI63WCxzhm0kSUqYpROPKIpwOp0JPiySJIFl2bTyvbeayYko2VvD4Lzq/FqsosSwP617QRAEQaxcdBcm7e3tqKysnLPd7XanfA6bzZYwCycYDMLpdGrfBUHQHFxZloXH40kQIjzPJzjgpoKUI1FybnAYFetmhjqKVZRcPZnWvSAIgiBWLhk7v8ZiMYiiqEVoPXz4MABlinB3dzeGhxVrQDoWDL/fD7fbrUV0VQOuqagB19RosDabDW63G1VVVQiHw+A4Lu2pw9HbE2iuq1l+UbK+HJVrS5VMFKUo4YHarwD4q7TuB0EQBLEyKZFlWc7kBKWlpXC5XGhvb583umsgEEBrayumpqYyuVRWiMViqKysxD8LZ3H99qplFyVVm9bi7b7r+HfWj2Pi/b9D2dbmIhMlf4rJcz9CedOzuHHjBtavX5+V+7h69WqUl5OTLUEQhYvaHw0PD6cVLb3YyNhi0tLSgo6OjgXT2Gw2zZKSr5y/Oozd1duXXZS8fymKe7bPDH0VnaVEKccq06NYW+7Bli1bsnb/SktXYWzsNokTgiCIAidjYRI/ZHLixAl0dXWhr68Pra2tsNlsqKurA5DeUE4uMKwrz40o2VGJsdsz04WvngRYW1GJEtQ/itL+F3BrsBfTgzxg3D+rHGeBLQ8CAz9X4rj0Pa9EwL3gB2q+ANx4E6homFWO08D2zwOXXgbqvorJcz/Chgc7cPfu3RUjTI4fP45nn30WTz31FB577LFcZ4cgCEI3MnZ+raqq0v4/fPgwfD4fGhsb8fjjj2uiZHa6fITJkSiZuDuFyxElwNrk9i9h8tyPMLlT6Wwnt/8xJi+9islN92NyuB+TUyWYLKnA5ND7mGSaMdn/j5isPoTJsz9Qjjn/Aia3PoTJwVOYXGfC5Oh1TI7fxmTZdkzd6M2JKFHFVemNf0bZtmaUTV5F2Zp1KNuwFWW3wyirPoCy66+hbM8jKLv8Isoavo6ywZdQVvcnKJN6UFZ1H8rkGMpKZZRV1qFs5G2U1T6Msqs/Rdk9jyrH7Hkkx61n+Tl48CDOnj2LgwcP5jorBEEQupKxxaSkpCThO8Mw2LNnz6Lp8o0zgxLM99YtvygZGsXHdlVh67Yd2LBDnVb77Mzfb6eQ86dnHfN00lTV1dtx8Z9iKDX922UXJVm3+IjzL0FAEARBFBYZC5NgMAiDwYB4H9pgMDgnUmtXVxcef/zxTC+XNUzbKnIiSu6rNeDizVvgfnIK1Yb1eP9yFLs3b0Tpqplr1RhwI3Ybt8bvwrS9AmcGJGytWIeNa8vw4aCEe6sZ3Lozieux29hbwyB8NYaNa1ZjS8U6vD8QhWlbBcYnJvBQ4x5M72pFabGJkks/Bra3YKXN+hkdHdX+rmQnOYIgig9dhEkyIdLT06P9L0lS3ltM7kxMYWgiN6JkVQmwc2sl3rsUhWmHQRElV2O4v24rbsRu485UCe6trcKHlyVUV1UoomRAwsd3b8GtO5OIjN3Fx+u24PyVGJiN6xRRcjmKvTurMDUtY0AaUQrZ9zxwz6NFJkoswPWehW9unnD8+HFdhl5GR0dx4MABAMCBAwdw6tQpbNiwIePzvvzyy+SvQhBEzslYmDgcDhw7dmzRdE8++WSml8oqV4fH8KmPbc+NKKnaiPcuRbF7y0ZNlNy3c8ZScucu9uyowIeXJWytXKeJkntrZiwlw7dx704G56/EsHHtak2UmLZXYGpaxoUbt3DfzplF9Oq+WnyiRC1HAfDss8/iz/7sz3Q9ZzgcRnV1tS7namhoIGFCEETOyViYxEdkXYjW1tZML5VVGqqZohQlH6s1oP9aVCnkpZ8AtQ8XnygZH8tt40mRp556SleLSTgchslk0tViQhAEkWsyDrBW6KgBbX74WghVxqqiEyWXh25hYnIStk83YOLKr1F2653iEiXTE5gcvYHye9uyGsBND/QMAnflyhVUV1djcHAQO3bs0OWcBEHkFgqwppCxxaRYKCstKUpRMi0DtVUblUJGTwOVdUUlSjARxarKe7G2fHVWA7jpgZ5B4FQLiR6WEoIgiHyChMkM2yqLU5Ts2rwRb/ddVwpZZJYStRylN/4Vt66cxnRflxKcre95JVjbwM+ALZ+Zf2HB2q8A/S8qx/S/CNQeBK6+XhBB4F5++WU0NDSQwypBEEUHDeXMmM7+7idv4hP37Co6UfL+pSi2V5TDsr8Oo2e7UDYdmxElvwJqvqh0rsvQma+68AJK9/xZXkamXQ5xNVljR/nmT2B0dDSvh5sIgsgdNJSjQMJkpiG88qt3YTBWFZ0o2Vm1AaUlwJ/+YSNuXr+as3qurt6Biz/7C5Tu+uMVJ0pQ9wgmxQDK9/8VCROCIOaFhIkCDeXMUIyWkp1VG1C+uhTnrgzjlVOncXN4DLHbE9izoxJnByVUbVyLyvXl+HBQQsOOSoyN38UVaQz7agzouzGCtatLsY2ZudbWCkzLMvpvjGDfTiOuSqOYnJrG7s2b8MFAFNXMBqwtL8W5q8PYV2NA9NY4omPjaNjB4INLN/FYyycwveOPUFoAouT4y7149vs/wFOu/xuPHaAgcARBEMtJxmvlFAt9N0aKVpTcV2uANDaJsUkZ+3Zthnh9FNsMm1BVuQHnr4/ivl2bMTFdghu3JnF/3VZcit7BxnVrUbOlAmev3sLemiqsWr0al6N3cH/9Nty8NQG5pBR7dhhx7tot7NrCYOOGtei7OYZP1G3FyPg0Riam8bFdWyDeGMXmihkHzRtv5r0oQbkRB39/K872X8fB/RP6+sYQBEEQi0LCZIZ7a5iiFSVDI3cQG5vAPdWVODMgoWrTjKVkQEJD9YylJDqG+3YaIF4fwdqyGUvJJSWk/bQso//6CO6rNeJKVLGU1G1R6qjaMGMpuTKMfTtnLCWj49hbzeDMoATDhjUwbFyjVPIcB9H8EyWIncHouvsBAKNVX1hxQeAIgiByDQ3lzHB9+DbKN5STKMmCKHmnf2ZW0EQEKJWzIkqOvz6CgwfeAsoZYPIuMHYBMNwPnH8FqPlj4N1/UNK++/dAzZ8o2w2/B1w7OyNKNgI338Louvtx4OGvAgAOtHwZp06+gg3v/RDY8TDQdxLYdA8wdHlGlNQAF98Atn4O+OAFYJcdeOc55e8H/wvY9jll//oaTI5JAICxsfwNBqdnnBWCIIilQs6vM85G//BqCA/cs4tEic6i5IPLUdRvXo8DH6/FxNkfoqyyLiuWkr2fOoSzfblz7i0G9IyzQuQfnZ2d+E//6T/hr//6r9HW1pbr7BBJIOdXBRImMw3h9dAZXBktIVGisyi5Z0clbo3egdVch9G+V1E28k5CfA/0PT+zhs9PFAfRpKJk8anNz//T2zj0pc8CYwOKpeTaLxRLyUW/ImAu+hVLyfVfKJaSsYEZS4kBGDkHVH0KuPIqRqu+gAMtX0b4UhSmWiNOvfoiNtx+W7GUTEQ/spREf6dYSgb+UbGQXOhS/g78VLGURN9W0k1PABMSsOkevPS/fPia86+WbYp2OvFWJvtOYMOnnqVZQzlGr4UeZ5OtZQxmQ3F1MoOEiQIJk5mGcOynv0FDXQ2JEp1FyZ2JKVy+GcMTj3weV69cydp9rNmxFRf++dso3dyY8ZTgK+seRnXDZzD4/mvYUXquIBx2M53aPFljR3nVfSRMcszevXtx9uzZXGdjyTQ0NODMmTO5zkbBQsJEgXxMZthWuY5ESRZEyWB0FB/fvRn/34l/wepVwHZmAz64HEHdlpkIu9eVOrom3cadu1Oo36JMP97BzFiurgzj3uqZ+3HrDhqqGZy/MoyKdTP3Y2ao6PP7WUxX/h5KdejMN7z3QwBQLCXVDxS9KEHdI8DZH+T090co6LXQ42yW02JCEJlCFpMZhfrqb97HtdulJEp0FiX37TRkfdXmsdt3lMi2Pc+grP5QxsMesYoD2Lzn87j53glUrBmfN8x8usNQq0yPovTiC/knSuIi0+b7QogLQc67C0MLP+Y/ZDFRIGEy0xD+20/eRPN99SRKCkyUTNydwsXrMbge+UNcvZrfzq8124248N4vUXr153klSlD3CKb6T2DDJ5/B+PhErqtpyZSWlmJsbIzEyTwcP34czz77LJ566inyA8lTSJgo5K0w8Xq9YFkWoiiCZVnYbDZd06uoDSH42w+ANRtJlBSYKFHvR9+1YZRgGjXGjXj/chS7N8/cj2sx3Fczcz/G78K0vQJnBiRsrZi5H4MS7q2euR+x29hbwyB8NYaNa2bux4BSR1PTMi7cvIX7dhowEPlo1eYPLkex0zhzP64O476dM/djVoTdDeUl+IP76zHxVgfKqj+bV6JEHYaauhnC9NrqtB2Pc71AIvqex2SNDRt27CcfGaKgIWGikJc+Jk6nE3a7HRaLBQBgt9vBsizMZrMu6ZMxPDaBuxMkSgpRlFy8eQtlq0uxs6oS712KwrTDoN2P++u24kbsNu5MleDe2ip8eFlCdVWFdj8+vnsLbt2ZRGTsLj5etwXnr8TAbFyn3Y+9O6swNS1jIHILv1e/FZeHbmFVaRnqZu5H3TZGux/312/F0MgdLcLumQEJ2wybULm+HO9euAEAmGQ+BUTeUzrzqVXASL/SmV96VenMz/1I6ZjP/UjpzC+9qnTmw/1KZ15aAQy9r3Tm/f+odOZnf6Acc/4FpTMfPKV05qPXP+rMr/UonbnoVzrzsz9Q/ooBZRjqeg9WbaxFWckUMDUCGD+m+MbUfUUROw1fV4TMnkeUYShVXG3Y8pEo2dqsiCjWpoiqhq8rf1m7sn1bs5JuzbqPxFX1AUVc7ZkRSg1fV65X9yeKuKq676P4N5vqFHFV+7Airu6Z8de551GlHARBFAV5aTEpKSlBfLZ8Ph9CoRA4jtMlfTyqQvX902/RfF89iZICFCWFcD9M2zbi0B824drV7M1MypSaHVtw4ZffRSmzrzAcduMsPpNVn0P5jv+joH1kigHy88kMspgo5J3FhOd5MAyTdLse6edjz47KoukESZTk5/04+r9ex97qSl0XSDx7RYJh/cz9GIjinu0z90Maxb4aAy7cVO7HYrOhag1r8emP7cZ4eT3KBn+pDN+cf0GxxJz9gWKZ6f+JMnyzBIvP//zh/0THf/8p2v/91/BvH9qtu8Vn6qaANeVl2LJlS1q/e0Jf8j1I3+joKN577z187GMfy8qsJEIf8k6YSJI0Z5vRaEQkEtEl/fj4OMbHx7XvsVgMAHD+cgTV27eicm0p3u67jnu2K7M9LkdGsW+nAeLVKFaVADuMG/G7vuvYvXkj5Km7ODOo+DBcGYppPgzv9t/A1op1WFsKvHvhBu6tZiCNjGk+DB9eGsLGNathWLcab/dfh2lbBcbHJzQfhv5rUc2H4e2+69hp3IBV8jQ+uBRVOpPIiObD8N6FG4oPQ1kJ3r1wAw07KhG7dVtbJfjsYARrV5eiasMavN13HaatFZiYmNA6wUs3JK0TfLv/OqqZDVhdolxrX40BN6K3tE7wvYs3YFi/BpvWrMI7/Uod3Rq9o3WC569EUFa6Cps3rsXbfddQt2UTpu/exbmZTnDgRkybEvx2/3XsYNajfJWM9y/exL3VDIaGR7UpwR9cvImKdeVFdz/yUZTUb9mE9y4OoWrzZmyo+/zML6N95u93Zv1dCHX15Gdn/n57Too//9Z/xp8nbHl61jFPY3HU86rHFM+qzVs2G/DOa99H6VQM2LgHGHoT2P4QcPknSgC/i35g51eAq68BVQ8Ct84ryzCsKgPGBgHmfiWIYPWXFMvSLjtw6YRi/br2SyX44O1BJX0ZA4yEgc3NwJUgsPOgcv5dduDyy8AOK3CzB9hkAiYlRSSuq1aCB277rGI9qz2sHFN7CJMXX0H1H/4N3nnnHaxduzaX1ZiUsbExfPGLX8TQ0BCqqqrws5/9LO+sa7du3cp1FvIDOc/gOE5mWTZhWzAYlOfLarrpn376aRkAfehDH/rQhz55+RkeHtanQy1Q8s5iYjQa52yTJCnpcM1S0re3t+Nb3/qW9j0Wi6G2thYXL15c0WN6BNHU1ITz58/nOhtLpqysDJOTk7nORkaYTCa8+eabuc7Gknn++ee1SQj5xtjYGOx2Oy5cuIDdu3fD7/fnpcXkwQcfzHU2ck7eCROGYeYMw0QikaQCZCnp16xZgzVr1szZXllZScKEWNH89V//dUFHHX3iiSfwve99T/fzAssbOXXz5s26n3e5+Mu//MtcZ2FBnnrqKXznO9/BU089hebm5lxnZw6qa8FKpyBm5Xi9XoTD4ZRn5SyWPh7ygiaI7FMMUUeLoQxEfkP9kcKqXGcgGTabLWFWTTAYhNPp1L4LgoBAIJByeoIgcotqXSjkmRDBYBANDQ0IBoO5zgpBFDV5aTEBALfbDZPJBEmS5kRydbvdEAQh4QGxUPqFIIVKENmHwqETxOJQf6SQt8JkuaCGQBAEQeQD1B8p5J3z63Kj6jJyOiIIgiByidoPrXB7AQmToaEhAEBtbW2Oc0IQBEEQwMjICCorK3OdjZyx4oWJOq344sWLK7YhqLFcLl26tCLNhyu9/ADVAUB1sNLLD+S+DmRZxsjICKqrq5f92vnEihcmq1YpE5MojglQUVGxoutgpZcfoDoAqA5WevmB3NbBSn1BjicvpwsTBEEQBLEyIWFCEARBEETesOKFyZo1a/D0008nDVO/UljpdbDSyw9QHQBUByu9/ADVQb6w4uOYEARBEASRP6x4iwlBEARBEPkDCROCIAiCIPIGEiYEQRAEQeQNKyaOidfrBcuyEEVx0UX+JEmCz+cD8NFKxakuCpivpFP+eERRBMdx8Hg8Wc5h9km3DtSyNzc3AwAsFgsYhlmGnGaHdMvv9XrBMEzaC2PmK+r9NJlMcDgci6Zf6m8mX0mn/MX4DATSbwOzjyuG52BBIK8AHA6HHAwGte82m00OhUILpleJRqMygAXT5zvplj8ei8WSUB+FSrp1EA6HZbPZnJDe4/FkNY/ZJN3yzy6rx+Mp6N9AMBiU/X6/bLFYUrqPmfxm8pGllF+lGJ6Bspx+HcRTLM/BQmFFDOX4fD5YLBbtu9VqBcdxSdOKoghRFCFJEgCAYRhYLBZ0dHQsR1azQjrlj4fnebAsm82sLRvp1oHb7YbT6dS+t7e3p/WGlW+kW/6enp6E7xaLBTzPZy1/2cZiscBms6Vs8VrqbyZfSaf8xfgMBNJvAyrF9BwsFIpemPA8n7QhLvSQ7e3tRSQS0b6r5txCZCnlVxFFESaTKQu5Wl6WUgeBQCChYzKbzQU7jLOU8guCoJnyAeU3YTabs5G9vCOT30yxUEzPwEwpludgIVH0wkRV/fEYjcaEH108LMsiGo0mKGSe59HU1JStLGaVdMuv4vP5CtpCEE+6dSAIAgDlgRQIBODz+RI66UJjKW1AtRjZ7XYIggBJkhKEWjGz1N9MsVBsz8BMKKbnYCFR9M6vkUhEW0FYRXXoSwVBEBCJRArW6Wkp5VedHYuFdOtAfTOUJElz+LNarTAajQXpALiUNuBwOBAKheDz+cDzPE6ePJnlXOYPmT4zio1CfwYulWJ7DhYSRW8xmf2AAZQGl6pZvq2tDSdPnixYM/5Syt/d3V1Ub8dLbQPxQxdWq7Vgx9iXUn6fzwer1YpwOIympiY0NjaumKGMTJ8ZxUahPwOXSrE9BwuJohcmDMPMMcEmeyNKhtvtRmdnZ0GPradbfp7ni+7HmG4dqG9Js9+WCnWMPd3yi6KIYDAIm80GlmURDAbh8XjgdruXI7s5J5NnRrFRDM/ApVCMz8FCouiHciwWyxwTbCrj5T6fD62trdoPslAb6lLKHwgEtP+7uroAKDEdHA5HQb41pVsH6j1X41cAwNDQUMGaddMtvyAIWuwWFZfLpbWFYmepz4xio1iegUul2J6DhUTRW0wAwGazJZih1YBBKoIgJDRCNS3DMBBFEYIgaA6RhUg65bdYLHC5XNrHYrGAZVm4XK6C/jGm2wZcLldCekEQ0N7evjyZzQLptoFgMJhwvCiKaG1tXZ7M5oDZ93+x+io2iv0ZmAor4TlYKKyY1YXdbjdMJlPSKJZutxuCICAYDEKSJBgMhjnHezweuFyu5cyyrqRa/ni8Xq8Wu8HpdBZ0+YH060AduqiqqgLDMAXvnZ9O+QVBQFdXV8I0yUIuP8/zEAQBHR0dYFkWra2t2lAVMP/9n6++Co10yl+sz8CltAGg+J6DhcCKESYEQRAEQeQ/K2IohyAIgiCIwoCECUEQBEEQeQMJE4IgCIIg8gYSJgRBEARB5A0kTAiCIAiCyBtImBAEQRAEkTcUfeRXgihU4mOJqOHQe3p6EhZTSyWNGr+BZVkt1Loak0QURS1+gxq3RZIkcByHYDBYsNFuCYIoXCiOCUHkITzPw+PxJAR7EkVRW1gv1TSBQADBYFALEKUe5/f7tW08z4PjOPj9fi2NuqJsvoYgX8mL6hFEsUNDOQSxjPh8PjQ2NsJgMMDtdsPr9cLr9WpRRlWrhd1uTxATAOZEH00lTVtb25zl6i0WC3p7e+cNMc7zPMxmc94uWidJUtKVnkVRhNPp1OrU5/NBFEV4vd45a98kIxAIwGq1oqSkBHa7fU79WK1WGAyGog5NTxD5AFlMCGKZsdvtMBqNc0SFIAjgeR42mw0mkwkL/TRFUUwpTWNjI6LR6Jx9TqcTJpNJWxPI7XbD6XQiFArBarWmHX5dEARNKHEcB4/HA5Zl4fV6wbIsRFGE2WyGxWLRhpYAaKH+fT6fJoQikciC4e99Ph+ampoSVrz1+Xzw+/3w+/0JlhRV9EWj0ZQsLGo4dr/fP6cOJEmCz+ejkOQEkWXIx4Qglhme59HZ2Tlnu9lshiiKOciRYmlxOBzgeT4l68JszGaz5o/S2dkJhmEQCAQwNDSkdeRWqxUsy8LtdiMUCgFQRBrLsgiHw5oY8Xq9CAQC84qjYDCYIFwEQYDT6UwqPlwu1xwBuBAMw8BisYDjuDnX7+7uLuj1ggiiUCBhQhDLiCiKkCQp4W0/fjl5tYNXV3Wd7XyqdtippgGS+2P09vYmHZKwWCyaOPL5fJo1Q/VZmU17e7t2boZhtHwBihOuJEnaSrUejweBQCDBb8Xv92vDWCosyyIYDCYVJqIoorm5OWGb2+2GzWab1yKSrvXH6XTCbrfPqbdwOEx+LQSxDJAwIYhlhOd5rQMHkLDUPABtu9phxzukzrZkpJPG4/Fo1wYwZyhkdh4kSdLOlY6VIN4vxWq1wu/3a0JEnRkUL3IkSUJzczN6enq0baoDbzI4jpsjqFQn4PmIF0/q+TmO067b2tqaUBeqkIm3kCQTRARBZAcSJgSxjIRCIc33YmhoCD6fD319fXPSWSwWGI1GzZqgdvjxb//ppmlsbERXVxdYlgXHcZAkCZFIBBzHQRAE+Hw+AB9NF16os5+NIAjaOdShG9X6ovqPMAwDm82mOaSqIkzdFi/S5rNyzLYQqeJpIUvG7H1WqxWhUEjLj8lkmmMRcjgc4DhOEyaBQIB8SwhiuZAJglg2WJaVOY7Tvns8nmW9fjgc1q7v9/uX9dqZEgqFEupOBcCceoxGo7LH45E5jpM5jpM9Ho8cjUZljuNks9mckNZsNsuhUGjOtQDI4XBYlmVZdrlcOpeGIIj5oOnCBLFMSJIEURTR1NSkbYsfJlEtFtlEtZbwPK8FWysUOI7DkSNH5my3WCwJQ0GAYiVRLRxOpxMWiwUMwyTEd1E/7e3tc/x0VF8fta5aW1uzVCqCIGZDQzkEsUyoTqDx/gzqMIMgCAmCJZs0NTVpU4MLjWRDNh6PB42NjUmdfNU6VYWHyWTSpmQvhs1m08RiOsNaBEFkBllMCGKZCAaDSSOpSpIEt9s9rzOq3nAcV3AzTNTgZ8kwm83gOA4tLS1znH9VMajicDg0y1X8uZNN03Y6nZAkCVVVVZkXgCCIlCGLCUFkGXUWSHd3t+b4CgBDQ0Oa02f8G7nb7dYcUAGlg/R4PAUlJPRmdlj92TgcDlgsloSpxz09PbBarXNmFYVCIc0ZWHXKTbYmEMuysFgsaU83JggiMyjyK0HkGV6vV4uIKkkSWlpaCnLYRS9Ui1I6gdIIgihcaCiHIPKM+CEft9udNErsSqK7u5vWpyGIFQQJE4LIM9RYHV6vF3a7fdl8T/KVYDC44uuAIFYS5GNCEHmEKIpgGEYLB7+S/UqAjyLDEgSxciAfE4IgCIIg8gYayiEIgiAIIm8gYUIQBEEQRN5AwoQgCIIgiLyBhAlBEARBEHkDCROCIAiCIPIGEiYEQRAEQeQNJEwIgiAIgsgbSJgQBEEQBJE3kDAhCIIgCCJv+P8B3JaQ1mLTj/wAAAAASUVORK5CYII=", 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", 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", 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", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pt2.batch_plot_signalMB(df_0, Nevents=minimize(lambda x: 1/get_pval_nevents(df_0, x), x0=(500)).x[0], PATH='plots/', title=rf'TMM $\\vert$ $m_5 = 470$ MeV, $\\Delta_{{54}} = {delta_TMM}$ $\\vert$ $N_5 \\to N_4 \\gamma$', prefix='BP0_split', bkg_subtract=True)\n", + "pt2.batch_plot_signalMB(df_1, Nevents=minimize(lambda x: 1/get_pval_nevents(df_1, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Vector $\\vert$ $m_5 = 150$ MeV, $\\Delta_{54} = 1$, $m_{Z^\\prime} = 30$ MeV $\\vert$ $N\\to \\nu (Z^\\prime \\to e^+e^-)$', prefix='BP1', bkg_subtract=True)\n", + "pt2.batch_plot_signalMB(df_2, Nevents=minimize(lambda x: 1/get_pval_nevents(df_2, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Vector $\\vert$ $m_5 = 150$ MeV, $\\Delta_{54} = 1$, $m_{Z^\\prime} = 1.25$ GeV $\\vert$ $N\\to \\nu (Z^{\\prime *} \\to e^+e^-)$', prefix='BP2', bkg_subtract=True)\n", + "pt2.batch_plot_signalMB(df_3, Nevents=minimize(lambda x: 1/get_pval_nevents(df_3, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Scalar $\\vert$ $m_5 = 200$ MeV, $\\Delta_{54} = 1$, $m_{h^\\prime} = 1$ GeV $\\vert$ $N\\to \\nu (h^{\\prime *} \\to e^+e^-)$', prefix='BP3', bkg_subtract=True)\n", + "pt2.batch_plot_signalMB(df_4, Nevents=minimize(lambda x: 1/get_pval_nevents(df_4, x), x0=(500)).x[0], PATH='plots/', title=r'Dark Scalar $\\vert$ $m_5 = 200$ MeV, $\\Delta_{54} = 1$, $m_{h^\\prime} = 30$ MeV $\\vert$ $N\\to \\nu (h^\\prime \\to e^+e^-)$', prefix='BP4', bkg_subtract=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "darknews", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/junit.xml b/junit.xml new file mode 100644 index 0000000..c21ac4a --- /dev/null +++ b/junit.xml @@ -0,0 +1 @@ +/Users/mhostert/Repos/DarkNews-generator/tests/test_scripts.py:34: Still need to find a way to set up git for venvs \ No newline at end of file diff --git a/src/DarkNews/const.py b/src/DarkNews/const.py index a697338..30af02f 100755 --- a/src/DarkNews/const.py +++ b/src/DarkNews/const.py @@ -36,6 +36,8 @@ rad_to_deg = 180.0 / np.pi deg_to_rad = 1 / rad_to_deg +s_in_year = 60 * 60 * 24 * 365.25 + invGeV_to_cm = hb * c_LIGHT # hbar c = 197.3269804e-16 GeV.cm invGeV2_to_cm2 = invGeV_to_cm**2 diff --git a/src/DarkNews/model.py b/src/DarkNews/model.py index 04f2786..8461e45 100755 --- a/src/DarkNews/model.py +++ b/src/DarkNews/model.py @@ -1,16 +1,16 @@ import numpy as np import math -import logging - -logger = logging.getLogger("logger." + __name__) -prettyprinter = logging.getLogger("prettyprinter." + __name__) - from particle import literals as lp from DarkNews import const from DarkNews import pdg +import logging + +logger = logging.getLogger("logger." + __name__) +prettyprinter = logging.getLogger("prettyprinter." + __name__) + class HNLModel: def __init__(self, model_file=None, **user_input): @@ -413,26 +413,28 @@ def set_vertices(self): # self.tanof2beta = const.sw * self.sinof2chi / (entry_22) # Mass mixing and kinetic mixing - entry_11 = const.sw * self.sinof2chi + 2 * self.epsilonZ * np.sqrt(self.c2chi) - entry_22 = self.c2chi - const.s2w * self.s2chi - (self.mzprime / const.m_Z) ** 2 - 2 * self.epsilonZ * const.sw * np.sqrt(self.s2chi) - self.tanof2beta = entry_11 / entry_22 + self._entry_11 = const.sw * self.sinof2chi + 2 * self.epsilonZ * np.sqrt(self.c2chi) + self._entry_22 = self.c2chi - const.s2w * self.s2chi - (self.mzprime / const.m_Z) ** 2 - 2 * self.epsilonZ * const.sw * np.sqrt(self.s2chi) + self.tanof2beta = self._entry_11 / self._entry_22 # self.beta = const.sw * self.chi - self.sinof2beta = entry_11 / np.sqrt(entry_22**2 + entry_11**2) - self.cosof2beta = entry_22 / np.sqrt(entry_22**2 + entry_11**2) + self.sinof2beta = self._entry_11 / np.sqrt(self._entry_22**2 + self._entry_11**2) + self.cosof2beta = self._entry_22 / np.sqrt(self._entry_22**2 + self._entry_11**2) # ##################### if self.tanof2beta != 0: self.tbeta = self.sinof2beta / (1 + self.cosof2beta) + self.cbeta = math.sqrt((1 + self.cosof2beta) / 2.0) # FIX ME -- works only for |beta| < pi/2 + self.sbeta = math.sqrt(1 - self.cbeta**2) # FIX ME -- works only for |beta| < pi/2 else: self.tbeta = 0.0 - - self.sbeta = math.sqrt((1 - self.cosof2beta) / 2.0) * np.sign(self.sinof2beta) # FIX ME -- works only for |beta| < pi/2 - self.cbeta = math.sqrt((1 + self.cosof2beta) / 2.0) # FIX ME -- works only for |beta| < pi/2 + self.cbeta = 1.0 + self.sbeta = 0.0 # some abbreviations self._weak_vertex = const.gweak / const.cw / 2.0 self._gschi = self.gD * self.sbeta + # dark couplings acquired by Z boson self._g_weak_correction = self.cbeta + self.tanchi * const.sw * self.sbeta self._g_dark_correction = self.cbeta * self.tanchi * const.sw - self.sbeta @@ -440,8 +442,8 @@ def set_vertices(self): # Charged leptons self.ceV = self._weak_vertex * (self.cbeta * (2 * const.s2w - 0.5) + 3.0 / 2.0 * self.sbeta * const.sw * self.tanchi) self.ceA = self._weak_vertex * (-(self.cbeta + self.sbeta * const.sw * self.tanchi) / 2.0) - # self.ceV = weak_vertex*(const.gweak/(2*const.cw) * (2*const.s2w - 0.5)) - # self.ceA = weak_vertex*(const.gweak/(2*const.cw) * (-1.0/2.0)) + # self.ceV = self._weak_vertex * (const.gweak / (2 * const.cw) * (2 * const.s2w - 0.5)) + # self.ceA = self._weak_vertex * (const.gweak / (2 * const.cw) * (-1.0 / 2.0)) # quarks self.cuV = self._weak_vertex * (self.cbeta * (0.5 - 4 * const.s2w / 3.0) - 5.0 / 6.0 * self.sbeta * const.sw * self.tanchi) diff --git a/src/DarkNews/processes.py b/src/DarkNews/processes.py index 6edee13..3ca6377 100644 --- a/src/DarkNews/processes.py +++ b/src/DarkNews/processes.py @@ -1,11 +1,6 @@ import numpy as np import vegas as vg import json -import os - -import logging - -logger = logging.getLogger("logger." + __name__) from DarkNews import const from DarkNews import pdg @@ -18,6 +13,10 @@ from . import Cfourvec as Cfv +import logging + +logger = logging.getLogger("logger." + __name__) + class UpscatteringProcess: def __init__(self, nu_projectile, nu_upscattered, nuclear_target, scattering_regime, TheoryModel, helicity): @@ -270,14 +269,14 @@ def __init__(self, nu_parent, nu_daughter, final_lepton1, final_lepton2, TheoryM else: self.CC_mixing1 = 0 self.CC_mixing2 = 0 - ## Minus sign important for interference! + # Minus sign important for interference! self.CC_mixing2 *= -1 if self.m_parent - self.m_daughter - self.mm - self.mp < 0: logger.error(f"Error! Final states are above the mass of parent particle: mass excess = {self.m_parent - self.m_daughter - self.mm - self.mp}.") raise ValueError("Energy not conserved.") - ## Is the mediator on shell? + # Is the mediator on shell? self.vector_on_shell = ( (TheoryModel.mzprime is not None) and (self.m_parent - self.m_daughter > TheoryModel.mzprime) and (TheoryModel.mzprime > self.mm + self.mp) ) @@ -288,7 +287,7 @@ def __init__(self, nu_parent, nu_daughter, final_lepton1, final_lepton2, TheoryM ) self.scalar_off_shell = not self.scalar_on_shell - ## does it have transition magnetic moment? + # does it have transition magnetic moment? self.TMM = TheoryModel.has_TMM def SamplePS( @@ -336,13 +335,11 @@ def total_width(self, NINT=MC.NINT, NEVAL=MC.NEVAL, NINT_warmup=MC.NINT_warmup, logger.error("Vector and scalar simultaneously on shell is not implemented.") raise NotImplementedError("Feature not implemented.") elif self.vector_on_shell and self.scalar_off_shell: - return dr.gamma_Ni_to_Nj_V(vertex_ij=self.Dih, mi=self.m_parent, mj=self.m_daughter, mV=self.mzprime, HNLtype=self.HNLtype) * dr.gamma_V_to_ell_ell( - vertex=self.TheoryModel.deV, mV=self.mzprime, m_ell=self.mm - ) + return dr.gamma_Ni_to_Nj_V(vertex_ij=self.Dih, mi=self.m_parent, mj=self.m_daughter, mV=self.mzprime, HNLtype=self.HNLtype) + # * dr.gamma_V_to_ell_ell(vertex=self.TheoryModel.deV, mV=self.mzprime, m_ell=self.mm) elif self.vector_off_shell and self.scalar_on_shell: - return dr.gamma_Ni_to_Nj_S(vertex_ij=self.Sih, mi=self.m_parent, mj=self.m_daughter, mS=self.mhprime, HNLtype=self.HNLtype) * dr.gamma_S_to_ell_ell( - vertex=self.TheoryModel.deS, mS=self.mhprime, m_ell=self.mm - ) + return dr.gamma_Ni_to_Nj_S(vertex_ij=self.Sih, mi=self.m_parent, mj=self.m_daughter, mS=self.mhprime, HNLtype=self.HNLtype) + # * dr.gamma_S_to_ell_ell(vertex=self.TheoryModel.deS, mS=self.mhprime, m_ell=self.mm) elif self.vector_off_shell and self.scalar_off_shell: # We need to integraate the differential cross section diff --git a/tox.ini b/tox.ini index 9f6081c..510ad91 100644 --- a/tox.ini +++ b/tox.ini @@ -23,13 +23,11 @@ setenv = PYTHONHASHSEED = 0 commands = - pytest - # pytest --basetemp={envtmpdir} --cov={envtmpdir} --cov-append --cov-report=xml + pytest --basetemp={envtmpdir} --cov={envtmpdir} --cov-append --cov-report=xml --cov --junitxml=junit.xml -o junit_family=legacy depends = {py38,py39,py310,py311,py312}: clean report: py38,py39,py310,py311,py312 - [testenv:report] deps = coverage skip_install = true