diff --git a/docs/notebooks/dispersion_analysis/dispersion_class_usage.ipynb b/docs/notebooks/dispersion_analysis/dispersion_class_usage.ipynb index 7c4d045fd..a9ea84e52 100644 --- a/docs/notebooks/dispersion_analysis/dispersion_class_usage.ipynb +++ b/docs/notebooks/dispersion_analysis/dispersion_class_usage.ipynb @@ -41,17 +41,17 @@ "metadata": {}, "outputs": [], "source": [ - "from rocketpy import Environment, SolidMotor, Rocket, Flight, Dispersion, Function\n", - "from rocketpy.monte_carlo import (\n", - " McEnvironment,\n", - " McSolidMotor,\n", - " McRocket,\n", - " McFlight,\n", - " McNoseCone,\n", - " McTail,\n", - " McTrapezoidalFins,\n", - " McParachute,\n", - " McRailButtons,\n", + "from rocketpy import Environment, SolidMotor, Rocket, Flight, MonteCarlo, Function\n", + "from rocketpy.stochastic import (\n", + " StochasticEnvironment,\n", + " StochasticSolidMotor,\n", + " StochasticRocket,\n", + " StochasticFlight,\n", + " StochasticNoseCone,\n", + " StochasticTail,\n", + " StochasticTrapezoidalFins,\n", + " StochasticParachute,\n", + " StochasticRailButtons,\n", ")\n", "import datetime" ] @@ -130,7 +130,7 @@ { "data": { "text/plain": [ - "object: \n", + "object: \n", "last_rnd_dict: {}\n", "elevation: [113]\n", "gravity: ['Function from R1 to R1 : (height (m)) → (gravity (m/s²))']\n", @@ -149,7 +149,7 @@ } ], "source": [ - "mc_env = McEnvironment(\n", + "mc_env = StochasticEnvironment(\n", " environment=env,\n", " ensemble_member = list(range(env.num_ensemble_members)),\n", " wind_velocity_x_factor=(1.0, 0.33, \"normal\"),\n", @@ -168,7 +168,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[-2.43363182401062, -3.2080744792977374, -2.4175938202996714, -0.6800836428870567, -0.4147986561882701, -1.8612257454415737, -0.4147986561882701, -2.43363182401062, -2.77675179028226, -0.4147986561882701]\n" + "[2.8656245783020724, -1.3321216268594456, -0.5359939953111673, 2.1428841311794544, 0.40605086328475914, -0.5314461079973428, -1.9064661216740064, -3.9092318742013705, -0.6878449216372993, 1.79719671498841]\n" ] } ], @@ -244,7 +244,7 @@ { "data": { "text/plain": [ - "object: \n", + "object: \n", "last_rnd_dict: {}\n", "thrust_source: ['../../../data/motors/Cesaroni_M1670.eng', [[0, 6000], [1, 6000], [2, 6000], [3, 6000], [4, 6000]], 'Function from R1 to R1 : (Scalar) → (Scalar)']\n", "total_impulse: 6500.00000 ± 1000.00000 (numpy.random.normal)\n", @@ -278,7 +278,7 @@ } ], "source": [ - "mc_motor = McSolidMotor(\n", + "mc_motor = StochasticSolidMotor(\n", " solid_motor=motor,\n", " thrust_source=[\"../../../data/motors/Cesaroni_M1670.eng\",[[0,6000],[1,6000],[2,6000],[3,6000],[4,6000]], Function([[0,6000],[1,6000],[2,6000],[3,6000],[4,6000]])],\n", " burn_start_time=(0, .1),\n", @@ -305,7 +305,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[4964.74023772148, 6301.063121057903, 6874.945671519245, 7031.676385780169, 4180.972740531396, 7288.821931463088, 6355.952556067599, 7213.048653028296, 6243.881552378145, 5622.112927760851]\n" + "[4852.61864293818, 8049.503157663367, 7993.576486703936, 6209.860432796065, 6220.511807353847, 6441.7702019403805, 5486.7667676554975, 4626.165856788193, 7492.429770191062, 8801.091721035493]\n" ] } ], @@ -408,7 +408,7 @@ { "data": { "text/plain": [ - "object: \n", + "object: \n", "last_rnd_dict: {}\n", "radius: 0.06350 ± 0.00001 (numpy.random.normal)\n", "mass: 15.42600 ± 0.50000 (numpy.random.normal)\n", @@ -439,7 +439,7 @@ } ], "source": [ - "mc_rocket = McRocket(\n", + "mc_rocket = StochasticRocket(\n", " rocket=rocket,\n", " radius=0.0127 / 2000,\n", " mass=(15.426, 0.5, \"normal\"),\n", @@ -457,36 +457,36 @@ "metadata": {}, "outputs": [], "source": [ - "mc_nose_cone = McNoseCone(\n", + "mc_nose_cone = StochasticNoseCone(\n", " nosecone=nose_cone,\n", " length=0.001,\n", ")\n", "\n", - "mc_fin_set = McTrapezoidalFins(\n", + "mc_fin_set = StochasticTrapezoidalFins(\n", " trapezoidal_fins=fin_set,\n", " root_chord=0.0005,\n", " tip_chord=0.0005,\n", " span=0.0005,\n", ")\n", "\n", - "mc_tail = McTail(\n", + "mc_tail = StochasticTail(\n", " tail=tail,\n", " top_radius=0.001,\n", " bottom_radius=0.001,\n", " length=0.001,\n", ")\n", "\n", - "mc_rail_buttons = McRailButtons(\n", + "mc_rail_buttons = StochasticRailButtons(\n", " rail_buttons=rail_buttons, buttons_distance=0.001\n", ")\n", "\n", - "mc_main = McParachute(\n", + "mc_main = StochasticParachute(\n", " parachute=Main,\n", " cd_s=0.1,\n", " lag=0.1,\n", ")\n", "\n", - "mc_drogue = McParachute(\n", + "mc_drogue = StochasticParachute(\n", " parachute=Drogue,\n", " cd_s=0.07,\n", " lag=0.2,\n", @@ -516,7 +516,7 @@ { "data": { "text/plain": [ - "object: \n", + "object: \n", "last_rnd_dict: {}\n", "radius: 0.06350 ± 0.00001 (numpy.random.normal)\n", "mass: 15.42600 ± 0.50000 (numpy.random.normal)\n", @@ -533,13 +533,13 @@ "center_of_mass_without_motor: 0.00000 ± 0.00000 (numpy.random.normal)\n", "coordinate_system_orientation: ['tail_to_nose']\n", "motors:\n", - "\tMcSolidMotor at position: -1.25500 ± 0.00100 (numpy.random.normal)\n", + "\tStochasticSolidMotor at position: -1.25500 ± 0.00100 (numpy.random.normal)\n", "aerodynamic_surfaces:\n", - "\tMcNoseCone at position: 1.13400 ± 0.00100 (numpy.random.normal)\n", - "\tMcTrapezoidalFins at position: -1.04956 ± 0.00100 (numpy.random.normal)\n", - "\tMcTail at position: [-1.194656]\n", + "\tStochasticNoseCone at position: 1.13400 ± 0.00100 (numpy.random.normal)\n", + "\tStochasticTrapezoidalFins at position: -1.04956 ± 0.00100 (numpy.random.normal)\n", + "\tStochasticTail at position: [-1.194656]\n", "rail_buttons:\n", - "\tMcRailButtons at position: -0.61800 ± 0.00100 (numpy.random.normal)\n", + "\tStochasticRailButtons at position: -0.61800 ± 0.00100 (numpy.random.normal)\n", "parachutes: \n", "\tMain \n", "\tDrogue" @@ -580,17 +580,19 @@ "metadata": {}, "outputs": [ { - "ename": "IndexError", - "evalue": "list index out of range", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [17]\u001b[0m, in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m10\u001b[39m):\n\u001b[1;32m----> 2\u001b[0m rnd_rocket\u001b[38;5;241m=\u001b[39m\u001b[43mmc_rocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_object\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(rnd_rocket\u001b[38;5;241m.\u001b[39mstatic_margin(\u001b[38;5;241m0\u001b[39m))\n", - "File \u001b[1;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\monte_carlo\\mc_rocket.py:643\u001b[0m, in \u001b[0;36mMcRocket.create_object\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 641\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m parachute \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparachutes:\n\u001b[0;32m 642\u001b[0m parachute \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_parachute(parachute)\n\u001b[1;32m--> 643\u001b[0m \u001b[43mrocket\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_parachute\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 644\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparachute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 645\u001b[0m \u001b[43m \u001b[49m\u001b[43mcd_s\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparachute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcd_s\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 646\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrigger\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparachute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrigger\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 647\u001b[0m \u001b[43m \u001b[49m\u001b[43msampling_rate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparachute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msampling_rate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 648\u001b[0m \u001b[43m \u001b[49m\u001b[43mlag\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparachute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlag\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 649\u001b[0m \u001b[43m \u001b[49m\u001b[43mnoise\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparachute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnoise\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 650\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 652\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m rocket\n", - "File \u001b[1;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\rocket\\rocket.py:1123\u001b[0m, in \u001b[0;36mRocket.add_parachute\u001b[1;34m(self, name, cd_s, trigger, sampling_rate, lag, noise)\u001b[0m\n\u001b[0;32m 1059\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21madd_parachute\u001b[39m(\n\u001b[0;32m 1060\u001b[0m \u001b[38;5;28mself\u001b[39m, name, cd_s, trigger, sampling_rate\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m100\u001b[39m, lag\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, noise\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m 1061\u001b[0m ):\n\u001b[0;32m 1062\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Creates a new parachute, storing its parameters such as\u001b[39;00m\n\u001b[0;32m 1063\u001b[0m \u001b[38;5;124;03m opening delay, drag coefficients and trigger function.\u001b[39;00m\n\u001b[0;32m 1064\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1121\u001b[0m \u001b[38;5;124;03m Flight simulation.\u001b[39;00m\n\u001b[0;32m 1122\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m-> 1123\u001b[0m parachute \u001b[38;5;241m=\u001b[39m \u001b[43mParachute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcd_s\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrigger\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msampling_rate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlag\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnoise\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1124\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparachutes\u001b[38;5;241m.\u001b[39mappend(parachute)\n\u001b[0;32m 1125\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparachutes[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n", - "File \u001b[1;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\rocket\\parachute.py:163\u001b[0m, in \u001b[0;36mParachute.__init__\u001b[1;34m(self, name, cd_s, trigger, sampling_rate, lag, noise)\u001b[0m\n\u001b[0;32m 161\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlag \u001b[38;5;241m=\u001b[39m lag\n\u001b[0;32m 162\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnoise \u001b[38;5;241m=\u001b[39m noise\n\u001b[1;32m--> 163\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnoise_signal \u001b[38;5;241m=\u001b[39m [[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1e-6\u001b[39m, np\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mnormal(noise[\u001b[38;5;241m0\u001b[39m], \u001b[43mnoise\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m)]]\n\u001b[0;32m 164\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnoisy_pressure_signal \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m 165\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclean_pressure_signal \u001b[38;5;241m=\u001b[39m []\n", - "\u001b[1;31mIndexError\u001b[0m: list index out of range" + "name": "stdout", + "output_type": "stream", + "text": [ + "2.449944567018549\n", + "2.571842854527979\n", + "2.546703381357366\n", + "2.59392423412476\n", + "2.5919180256418075\n", + "2.6559017893347763\n", + "2.6812750141491803\n", + "2.381599844315245\n", + "2.556417003106341\n", + "2.721378903740952\n" ] } ], @@ -611,7 +613,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -626,13 +628,14 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "object: \n", + "object: \n", + "last_rnd_dict: {}\n", "rail_length: [5]\n", "inclination: 84.70000 ± 1.00000 (numpy.random.normal)\n", "heading: 53.00000 ± 2.00000 (numpy.random.normal)\n", @@ -640,13 +643,13 @@ "terminate_on_apogee: None" ] }, - "execution_count": 18, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "mc_flight = McFlight(\n", + "mc_flight = StochasticFlight(\n", " flight=test_flight,\n", " inclination=(84.7, 1),\n", " heading=(53, 2),\n", @@ -664,12 +667,12 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -702,11 +705,11 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ - "test_dispersion = Dispersion(\n", + "test_dispersion = MonteCarlo(\n", " filename=\"dispersion_analysis_outputs/disp_class_example4\",\n", " environment=mc_env,\n", " rocket=mc_rocket,\n", @@ -736,36 +739,21 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Completed 1 iterations. Total CPU time: 18.7 s. Total wall time: 79.0 sstimated time left: 0 s \r" - ] - }, - { - "ename": "SyntaxError", - "evalue": "invalid syntax (, line 1)", - "output_type": "error", - "traceback": [ - "Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n", - " File \u001b[0;32m~\\AppData\\Roaming\\Python\\Python310\\site-packages\\IPython\\core\\interactiveshell.py:3398\u001b[0m in \u001b[0;35mrun_code\u001b[0m\n exec(code_obj, self.user_global_ns, self.user_ns)\n", - " Input \u001b[0;32mIn [38]\u001b[0m in \u001b[0;35m\u001b[0m\n test_dispersion.run_dispersion(number_of_simulations=1,append=False)\n", - " File \u001b[0;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\simulation\\dispersion.py:342\u001b[0m in \u001b[0;35mrun_dispersion\u001b[0m\n self._finalize_simulation(input_file, output_file, error_file)\n", - " File \u001b[0;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\simulation\\dispersion.py:444\u001b[0m in \u001b[0;35m_finalize_simulation\u001b[0m\n self.input_file = f\"{self.filename}.disp_inputs.txt\"\n", - " File \u001b[0;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\simulation\\dispersion.py:162\u001b[0m in \u001b[0;35minput_file\u001b[0m\n self.set_inputs_log()\n", - " File \u001b[0;32mC:\\Mateus\\GitHub\\RocketPy\\rocketpy\\simulation\\dispersion.py:217\u001b[0m in \u001b[0;35mset_inputs_log\u001b[0m\n d = ast.literal_eval(line)\n", - " File \u001b[0;32mc:\\Program Files\\Python310\\lib\\ast.py:62\u001b[0m in \u001b[0;35mliteral_eval\u001b[0m\n node_or_string = parse(node_or_string.lstrip(\" \\t\"), mode='eval')\n", - "\u001b[1;36m File \u001b[1;32mc:\\Program Files\\Python310\\lib\\ast.py:50\u001b[1;36m in \u001b[1;35mparse\u001b[1;36m\u001b[0m\n\u001b[1;33m return compile(source, filename, mode, flags,\u001b[0m\n", - "\u001b[1;36m File \u001b[1;32m:1\u001b[1;36m\u001b[0m\n\u001b[1;33m {'elevation': 113, 'gravity': 'Function from R1 to R1 : (height (m)) → (gravity (m/s²))', 'latitude': 39.3897, 'longitude': -8.288964, 'wind_velocity_x_factor': 0.6352139725096725, 'wind_velocity_y_factor': 1.0319467868368157, 'datum': 'SIRGAS2000', 'timezone': 'UTC', 'ensemble_member': 30, 'radius': 0.06350039157986298, 'mass': 14.98296447726694, 'I_11_without_motor': 6.321, 'I_22_without_motor': 6.3255884039545, 'I_33_without_motor': 0.0375264094622778, 'I_12_without_motor': 0, 'I_13_without_motor': 0, 'I_23_without_motor': 0, 'power_off_drag': 'Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power Off)', 'power_on_drag': 'Function from R1 to R1 : (Mach Number) → (Drag Coefficient with Power On)', 'power_off_drag_factor': 1.0, 'power_on_drag_factor': 1.0, 'center_of_mass_without_motor': 0.0, 'coordinate_system_orientation': 'nozzle_to_combustion_chamber', 'parachutes': object: Parachute Drogue with a cd_s of 1.0000 m2\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n" + "Completed 1 iterations. Total CPU time: 5.0 s. Total wall time: 5.0 sEstimated time left: 0 s\n", + "Saving results. \n", + "Results saved to dispersion_analysis_outputs/disp_class_example4.disp_outputs.txt\n" ] } ], "source": [ - "test_dispersion.run_dispersion(number_of_simulations=1,append=False)" + "test_dispersion.simulate(number_of_simulations=1,append=False)" ] }, { diff --git a/rocketpy/__init__.py b/rocketpy/__init__.py index 7fc243add..e4814d135 100644 --- a/rocketpy/__init__.py +++ b/rocketpy/__init__.py @@ -5,16 +5,16 @@ funcify_method, reset_funcified_methods, ) -from .monte_carlo import ( - McEllipticalFins, - McEnvironment, - McFlight, - McNoseCone, - McParachute, - McRocket, - McSolidMotor, - McTail, - McTrapezoidalFins, +from .stochastic import ( + StochasticEllipticalFins, + StochasticEnvironment, + StochasticFlight, + StochasticNoseCone, + StochasticParachute, + StochasticRocket, + StochasticSolidMotor, + StochasticTail, + StochasticTrapezoidalFins, ) from .motors import ( CylindricalTank, @@ -45,5 +45,5 @@ Tail, TrapezoidalFins, ) -from .simulation import Flight, Dispersion +from .simulation import Flight, MonteCarlo from .plots.compare import Compare, CompareFlights diff --git a/rocketpy/monte_carlo/__init__.py b/rocketpy/monte_carlo/__init__.py deleted file mode 100644 index 2dd400d71..000000000 --- a/rocketpy/monte_carlo/__init__.py +++ /dev/null @@ -1,14 +0,0 @@ -from .dispersion_model import DispersionModel -from .mc_aero_surfaces import ( - McEllipticalFins, - McNoseCone, - McRailButtons, - McTail, - McTrapezoidalFins, -) -from .mc_environment import McEnvironment -from .mc_flight import McFlight -from .mc_parachute import McParachute -from .mc_rocket import McRocket -from .mc_solid_motor import McSolidMotor -from .mc_generic_motor import McGenericMotor diff --git a/rocketpy/plots/dispersion_plots.py b/rocketpy/plots/monte_carlo_plots.py similarity index 84% rename from rocketpy/plots/dispersion_plots.py rename to rocketpy/plots/monte_carlo_plots.py index 0291b5334..d729b5ccd 100644 --- a/rocketpy/plots/dispersion_plots.py +++ b/rocketpy/plots/monte_carlo_plots.py @@ -1,21 +1,13 @@ -__author__ = ( - "Mateus Stano Junqueira, Guilherme Fernandes Alves, Bruno Abdulklech Sorban" -) -__copyright__ = "Copyright 20XX, RocketPy Team" -__license__ = "MIT" - - import matplotlib.pyplot as plt -from ..tools import generate_dispersion_ellipses +from ..tools import generate_monte_carlo_ellipses -class _DispersionPlots: - """Class to plot the dispersion results of the dispersion analysis.""" +class _MonteCarloPlots: + """Class to plot the monte carlo analysis results.""" - def __init__(self, dispersion): - self.dispersion = dispersion - return None + def __init__(self, monte_carlo): + self.monte_carlo = monte_carlo def ellipses( self, @@ -36,7 +28,7 @@ def ellipses( The path to the image to be used as the background actual_landing_point : tuple, optional A tuple containing the actual landing point of the rocket, if known. - Useful when comparing the dispersion results with the actual landing. + Useful when comparing the monte_carlo results with the actual landing. Must be given in tuple format, such as (x, y) in meters. By default None. perimeterSize : int, optional @@ -76,7 +68,7 @@ def ellipses( apogeeY, impactX, impactY, - ) = generate_dispersion_ellipses(self.dispersion.results) + ) = generate_monte_carlo_ellipses(self.monte_carlo.results) # Create plot figure plt.figure(num=None, figsize=(8, 6), dpi=150, facecolor="w", edgecolor="k") @@ -117,7 +109,7 @@ def ellipses( # Add title and labels to plot ax.set_title( - "1$\\sigma$, 2$\\sigma$ and 3$\\sigma$ Dispersion Ellipses: Apogee and Landing Points" + "1$\\sigma$, 2$\\sigma$ and 3$\\sigma$ monte_carlo Ellipses: Apogee and Landing Points" ) ax.set_ylabel("North (m)") ax.set_xlabel("East (m)") @@ -146,16 +138,15 @@ def ellipses( # Save plot and show result if save: plt.savefig( - str(self.dispersion.filename) + ".png", + str(self.monte_carlo.filename) + ".png", bbox_inches="tight", pad_inches=0, ) else: plt.show() - return None def all_results(self, keys=None): - """Plot the results of the dispersion analysis. + """Plot the results of the monte_carlo analysis. Parameters ---------- @@ -169,11 +160,11 @@ def all_results(self, keys=None): """ if keys is None: - keys = self.dispersion.results.keys() + keys = self.monte_carlo.results.keys() elif isinstance(keys, str): keys = [keys] elif isinstance(keys, (list, tuple)): - keys = list(set(keys).intersection(self.dispersion.results.keys())) + keys = list(set(keys).intersection(self.monte_carlo.results.keys())) if len(keys) == 0: raise ValueError( "The selected 'keys' are not available in the results. " @@ -187,10 +178,8 @@ def all_results(self, keys=None): for key in keys: plt.figure() plt.hist( - self.dispersion.results[key], + self.monte_carlo.results[key], ) plt.title("Histogram of " + key) plt.ylabel("Number of Occurrences") plt.show() - - return None diff --git a/rocketpy/prints/dispersion_prints.py b/rocketpy/prints/monte_carlo_prints.py similarity index 54% rename from rocketpy/prints/dispersion_prints.py rename to rocketpy/prints/monte_carlo_prints.py index 71acf18c8..a0b30fd81 100644 --- a/rocketpy/prints/dispersion_prints.py +++ b/rocketpy/prints/monte_carlo_prints.py @@ -1,13 +1,8 @@ -__author__ = "Guilherme Fernandes Alves" -__copyright__ = "Copyright 20XX, RocketPy Team" -__license__ = "MIT" +class _MonteCarloPrints: + """Class to print the monte carlo analysis results.""" - -class _DispersionPrints: - """Class to print the dispersion results of the dispersion analysis.""" - - def __init__(self, dispersion): - self.dispersion = dispersion + def __init__(self, monte_carlo): + self.monte_carlo = monte_carlo return None def all_results(self): @@ -24,12 +19,12 @@ def all_results(self): """ print("Monte Carlo Simulation by RocketPy") - print("Data Source: ", self.dispersion.filename) - print("Number of simulations: ", self.dispersion.num_of_loaded_sims) + print("Data Source: ", self.monte_carlo.filename) + print("Number of simulations: ", self.monte_carlo.num_of_loaded_sims) print("Results: \n") print("{:>25} {:>15} {:>15}".format("Parameter", "Mean", "Std. Dev.")) print("-" * 60) - for key, value in self.dispersion.processed_results.items(): + for key, value in self.monte_carlo.processed_results.items(): print("{:>25} {:>15.3f} {:>15.3f}".format(key, value[0], value[1])) return None diff --git a/rocketpy/simulation/__init__.py b/rocketpy/simulation/__init__.py index 207fa5f33..e118c2434 100644 --- a/rocketpy/simulation/__init__.py +++ b/rocketpy/simulation/__init__.py @@ -1,3 +1,3 @@ -from .dispersion import Dispersion +from .monte_carlo import MonteCarlo from .flight import Flight from .flight_data_importer import FlightDataImporter diff --git a/rocketpy/simulation/dispersion.py b/rocketpy/simulation/monte_carlo.py similarity index 92% rename from rocketpy/simulation/dispersion.py rename to rocketpy/simulation/monte_carlo.py index 87f5175b4..10a526016 100644 --- a/rocketpy/simulation/dispersion.py +++ b/rocketpy/simulation/monte_carlo.py @@ -5,12 +5,12 @@ import simplekml from rocketpy.mathutils.function import Function -from rocketpy.plots.dispersion_plots import _DispersionPlots -from rocketpy.prints.dispersion_prints import _DispersionPrints +from rocketpy.plots.monte_carlo_plots import _MonteCarloPlots +from rocketpy.prints.monte_carlo_prints import _MonteCarloPrints from rocketpy.simulation.flight import Flight from rocketpy.tools import ( - generate_dispersion_ellipses, - generate_dispersion_ellipses_coordinates, + generate_monte_carlo_ellipses, + generate_monte_carlo_ellipses_coordinates, ) # TODO: How to save Functions? With pickle? Save just the source? @@ -21,7 +21,7 @@ # TODO: Create evolution plots to analyze convergence -class Dispersion: +class MonteCarlo: """Class to run a Monte Carlo simulation of a rocket flight. Attributes @@ -32,8 +32,7 @@ class Dispersion: is 'filename', the exported output files will be named 'filename.disp_outputs.txt'. When analyzing the results of a previous simulation, this parameter should be set to the .txt - file containing the outputs of the previous dispersion - analysis. + file containing the outputs of the previous monte carlo analysis. environment : StochasticEnvironment The stochastic environment object to be iterated over. rocket : StochasticRocket @@ -53,23 +52,23 @@ class Dispersion: num_of_loaded_sims : int Number of simulations loaded from output_file being currently used. results : dict - Dispersion results organized in a dictionary where the keys are the - names of the saved attributes, and the values are a list with all the - result number of the respective attribute + Monte carlo analysis results organized in a dictionary where the keys + are the names of the saved attributes, and the values are a list with + all the result number of the respective attribute processed_results : dict Creates a dictionary with the mean and standard deviation of each parameter available in the results - prints : _DispersionPrints - Object with methods to print information about the dispersion + prints : _MonteCarloPrints + Object with methods to print information about the monte carlo simulation. - plot : _DispersionPlots - Object with methods to plot information about the dispersion + plot : _MonteCarloPlots + Object with methods to plot information about the monte carlo simulation. """ def __init__(self, filename, environment, rocket, flight, export_list=None): """ - Initialize a Dispersion object. + Initialize a MonteCarlo object. Parameters ---------- @@ -79,7 +78,7 @@ def __init__(self, filename, environment, rocket, flight, export_list=None): is 'filename', the exported output files will be named 'filename.disp_outputs.txt'. When analyzing the results of a previous simulation, this parameter should be set to the .txt - file containing the outputs of the previous dispersion + file containing the outputs of the previous monte carlo analysis. environment : StochasticEnvironment The stochastic environment object to be iterated over. @@ -108,8 +107,8 @@ def __init__(self, filename, environment, rocket, flight, export_list=None): self.num_of_loaded_sims = 0 self.results = {} self.processed_results = {} - self.prints = _DispersionPrints(self) - self.plots = _DispersionPlots(self) + self.prints = _MonteCarloPrints(self) + self.plots = _MonteCarloPlots(self) self._inputs_dict = {} self._last_print_len = 0 # used to print on the same line @@ -134,9 +133,9 @@ def __init__(self, filename, environment, rocket, flight, export_list=None): # TODO: Initialize variables so they can be accessed by MATLAB # TODO move export_list to init - def run_dispersion(self, number_of_simulations, append=False): + def simulate(self, number_of_simulations, append=False): """ - Runs the dispersion simulation and saves all data. + Runs the monte carlo simulation and saves all data. Parameters ---------- @@ -186,7 +185,7 @@ def __run_single_simulation(self, input_file, output_file): # Update iteration count self.iteration_count += 1 # Run trajectory simulation - dispersion_flight = Flight( + monte_carlo_flight = Flight( rocket=self.rocket.create_object(), environment=self.environment.create_object(), rail_length=self.flight._randomize_rail_length(), @@ -208,7 +207,7 @@ def __run_single_simulation(self, input_file, output_file): # Export inputs and outputs to file self.__export_flight_data( - flight=dispersion_flight, + flight=monte_carlo_flight, inputs_dict=self._inputs_dict, input_file=input_file, output_file=output_file, @@ -499,7 +498,7 @@ def set_num_of_loaded_sims(self): self.num_of_loaded_sims += 1 def set_results(self): - """Dispersion results organized in a dictionary where the keys are the + """Monte carlo results organized in a dictionary where the keys are the names of the saved attributes, and the values are a list with all the result number of the respective attribute""" self.results = {} @@ -520,13 +519,14 @@ def set_processed_results(self): self.processed_results[result] = (mean, stdev) def import_outputs(self, filename=None): - """Import dispersion results from .txt file and save it into a dictionary. + """Import monte carlo results from .txt file and save it into a + dictionary. Parameters ---------- filename : str - Name or directory path to the file to be imported. If none, Dispersion - filename will be used + Name or directory path to the file to be imported. If none, + self.filename will be used. Returns ------- @@ -553,14 +553,14 @@ def import_outputs(self, filename=None): ) def import_inputs(self, filename=None): - """Import dispersion results from .txt file and save it into a + """Import monte carlo results from .txt file and save it into a dictionary. Parameters ---------- filename : str Name or directory path to the file to be imported. If none, - Dispersion filename will be used + self.filename will be used. Returns ------- @@ -583,14 +583,14 @@ def import_inputs(self, filename=None): print(f"The following input file was imported: {filepath}\n") def import_errors(self, filename=None): - """Import dispersion results from .txt file and save it into a + """Import monte carlo results from .txt file and save it into a dictionary. Parameters ---------- filename : str Name or directory path to the file to be imported. If none, - Dispersion filename will be used + self.filename will be used. Returns ------- @@ -613,14 +613,14 @@ def import_errors(self, filename=None): print(f"The following error file was imported: {filepath}\n") def import_results(self, filename=None): - """Import dispersion results from .txt file and save it into a + """Import monte carlo results from .txt file and save it into a dictionary. Parameters ---------- filename : str Name or directory path to the file to be imported. If none, - Dispersion filename will be used + self.filename will be used. Returns ------- @@ -647,7 +647,7 @@ def export_ellipses_to_kml( Parameters ---------- results : dict - Contains dispersion results from the Monte Carlo simulation. + Contains results from the Monte Carlo simulation. filename : String Name to the KML exported file. origin_lat : float @@ -676,16 +676,16 @@ def export_ellipses_to_kml( _, _, _, - ) = generate_dispersion_ellipses(self.results) + ) = generate_monte_carlo_ellipses(self.results) outputs = [] if type == "all" or type == "impact": - outputs = outputs + generate_dispersion_ellipses_coordinates( + outputs = outputs + generate_monte_carlo_ellipses_coordinates( impact_ellipses, origin_lat, origin_lon, resolution=resolution ) if type == "all" or type == "apogee": - outputs = outputs + generate_dispersion_ellipses_coordinates( + outputs = outputs + generate_monte_carlo_ellipses_coordinates( apogee_ellipses, origin_lat, origin_lon, resolution=resolution ) diff --git a/rocketpy/tools.py b/rocketpy/tools.py index 36db24ace..cc5d0105c 100644 --- a/rocketpy/tools.py +++ b/rocketpy/tools.py @@ -114,7 +114,7 @@ def bilinear_interpolation(x, y, x1, x2, y1, y2, z11, z12, z21, z22): def get_distribution(distribution_function_name): - """Sets the distribution function to be used in the dispersion analysis. + """Sets the distribution function to be used in the monte carlo analysis. Parameters ---------- @@ -281,16 +281,16 @@ def decimalDegreesToArcSeconds(angle): return deg, min, sec -# Functions for dispersion analysis -def generate_dispersion_ellipses(results): - """A function to create apogee and impact ellipses from the dispersion - results. +# Functions for monte carlo analysis +def generate_monte_carlo_ellipses(results): + """A function to create apogee and impact ellipses from the monte carlo + analysis results. Parameters ---------- results : dict - A dictionary containing the results of the dispersion analysis. It should - contain the following keys: + A dictionary containing the results of the monte carlo analysis. It + should contain the following keys: - apogeeX: an array containing the x coordinates of the apogee - apogeeY: an array containing the y coordinates of the apogee - xImpact: an array containing the x coordinates of the impact @@ -312,7 +312,7 @@ def generate_dispersion_ellipses(results): An array containing the y coordinates of the impact ellipse. """ - # Retrieve dispersion data por apogee and impact XY position + # Retrieve monte carlo data por apogee and impact XY position try: apogee_x = np.array(results["apogeeX"]) apogee_y = np.array(results["apogeeY"]) @@ -403,7 +403,7 @@ def create_ellipse_objects(x, y, n, w, h, theta, rgb): return impact_ellipses, apogee_ellipses, apogee_x, apogee_y, impact_x, impact_y -def generate_dispersion_ellipses_coordinates( +def generate_monte_carlo_ellipses_coordinates( ellipses, origin_lat, origin_lon, resolution=100 ): """Generate a list of latitude and longitude points for each ellipse in diff --git a/tests/conftest.py b/tests/conftest.py index aa9554918..5e4d3d146 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -26,17 +26,17 @@ TrapezoidalFins, UllageBasedTank, ) -from rocketpy.Dispersion import Dispersion -from rocketpy.monte_carlo import ( - McEnvironment, - McFlight, - McNoseCone, - McParachute, - McRailButtons, - McRocket, - McSolidMotor, - McTail, - McTrapezoidalFins, +from rocketpy.simulation.monte_carlo import MonteCarlo +from rocketpy.stochastic import ( + StochasticEnvironment, + StochasticFlight, + StochasticNoseCone, + StochasticParachute, + StochasticRailButtons, + StochasticRocket, + StochasticSolidMotor, + StochasticTail, + StochasticTrapezoidalFins, ) # Pytest configuration