small formatations
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -14,7 +14,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -30,13 +30,12 @@
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"n = 10 # number of pipe segments in discretization\n",
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"nt = 1500 # number of time steps after initial conditions\n",
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"f_D = 0.05 # Darcy friction factor\n",
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"c = 400 # propagation velocity of the pressure wave [m/s]\n",
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"\n"
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"c = 400 # propagation velocity of the pressure wave [m/s]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -64,14 +63,14 @@
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"v_1 = np.zeros_like(t_vec)\n",
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"\n",
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"# storage vector for time evolution of parameters at node N+1 (at valve)\n",
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"p_np1 = np.zeros_like(t_vec)\n",
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"v_np1 = np.zeros_like(t_vec)\n",
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"p_np1 = np.full_like(t_vec,p_old)\n",
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"v_np1 = np.full_like(t_vec,v_old)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -92,7 +91,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -123,14 +122,13 @@
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" p_old = p_new.copy()\n",
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" v_old = v_new.copy()\n",
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"\n",
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"\n",
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" lo_00.set_ydata(p_new)\n",
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" lo_01.set_ydata(v_new)\n",
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" \n",
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" fig1.suptitle(str(it))\n",
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" fig1.canvas.draw()\n",
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" fig1.tight_layout()\n",
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" plt.pause(0.1)\n",
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" plt.pause(0.01)\n",
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"\n",
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" # store parameters of node 1 (at reservoir)\n",
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" p_1[it] = p_new[0]\n",
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@@ -139,6 +137,20 @@
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" p_np1[it] = p_new[-1]\n",
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" v_np1[it] = v_new[-1]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig2,axs2 = plt.subplots(2,2)\n",
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"axs2[0,0].plot(t_vec,p_1)\n",
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"axs2[0,1].plot(t_vec,v_1)\n",
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"axs2[1,0].plot(t_vec,p_np1)\n",
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"axs2[1,1].plot(t_vec,v_np1)\n",
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"plt.show()"
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]
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}
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],
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"metadata": {
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