diff --git a/GHA_triaxial/gha1_approx.py b/GHA_triaxial/gha1_approx.py index a15878d..a84edfe 100644 --- a/GHA_triaxial/gha1_approx.py +++ b/GHA_triaxial/gha1_approx.py @@ -1,7 +1,9 @@ import numpy as np +from numpy import sin, cos +from numpy.typing import NDArray from ellipsoide import EllipsoidTriaxial from GHA_triaxial.gha1_ana import gha1_ana -from GHA_triaxial.utils import func_sigma_ell, louville_constant +from GHA_triaxial.utils import func_sigma_ell, louville_constant, pq_ell import plotly.graph_objects as go import winkelumrechnungen as wu diff --git a/GHA_triaxial/numeric_examples_karney.py b/GHA_triaxial/numeric_examples_karney.py index ba204a1..32a59fe 100644 --- a/GHA_triaxial/numeric_examples_karney.py +++ b/GHA_triaxial/numeric_examples_karney.py @@ -97,66 +97,44 @@ def get_random_examples_umbilics_end(num: int, seed: int = None) -> List: def get_random_examples_gamma(group: str, num: int, seed: int = None, length: str = None) -> List: eps = 1e-20 - long_short = 1.5 + long_short = 2 if seed is not None: random.seed(seed) with open(r"C:\Users\moell\OneDrive\Desktop\Vorlesungen\Master-Projekt\Python_Masterprojekt\GHA_triaxial\Karney_2024_Testset.txt") as datei: lines = datei.readlines() examples = [] - while len(examples) < num: + i = 0 + while len(examples) < num and i < len(lines): example = line2example(lines[random.randint(0, len(lines) - 1)]) + if example in examples: + continue + i += 1 + beta0, lamb0, alpha0_ell, beta1, lamb1, alpha1_ell, s = example gamma = jacobi_konstante(beta0, lamb0, alpha0_ell, ell) - if group == "a": - if 1 >= gamma >= 0.1: - if length == "short": - if example[6] < long_short: - examples.append(example) - elif length == "long": - if example[6] >= long_short: - examples.append(example) - else: - examples.append(example) - if group == "b": - if 0.1 > gamma > eps: - if length == "short": - if example[6] < long_short: - examples.append(example) - elif length == "long": - if example[6] >= long_short: - examples.append(example) - else: - examples.append(example) - if group == "c": - if abs(gamma) <= eps: - if length == "short": - if example[6] < long_short: - examples.append(example) - elif length == "long": - if example[6] >= long_short: - examples.append(example) - else: - examples.append(example) - if group == "de": - if eps > gamma > -1e-17: - if length == "short": - if example[6] < long_short: - examples.append(example) - elif length == "long": - if example[6] >= long_short: - examples.append(example) - else: - examples.append(example) - if group == "e": - if -1e-17 >= gamma >= -1: - if length == "short": - if example[6] < long_short: - examples.append(example) - elif length == "long": - if example[6] >= long_short: - examples.append(example) - else: - examples.append(example) + + if group not in ["a", "b", "c", "d", "e"]: + break + elif group == "a" and not 1 >= gamma >= 0.01: + continue + elif group == "b" and not 0.01 > gamma > eps: + continue + elif group == "c" and not abs(gamma) <= eps: + continue + elif group == "d" and not -eps > gamma > -1e-17: + continue + elif group == "e" and not -1e-17 >= gamma >= -1: + continue + + if length == "short": + if example[6] < long_short: + examples.append(example) + elif length == "long": + if example[6] >= long_short: + examples.append(example) + else: + examples.append(example) + return examples diff --git a/Tests/algorithms_test.ipynb b/Tests/algorithms_test.ipynb index a69ec18..1906acb 100644 --- a/Tests/algorithms_test.ipynb +++ b/Tests/algorithms_test.ipynb @@ -3,8 +3,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-02-08T18:12:51.803705Z", - "start_time": "2026-02-08T18:12:51.310195Z" + "end_time": "2026-02-09T10:12:48.665236Z", + "start_time": "2026-02-09T10:12:48.507869Z" } }, "cell_type": "code", @@ -14,13 +14,13 @@ ], "id": "89aa93e9dbedd113", "outputs": [], - "execution_count": 2 + "execution_count": 1 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-02-08T18:12:54.141970Z", - "start_time": "2026-02-08T18:12:52.406964Z" + "end_time": "2026-02-09T10:12:50.479637Z", + "start_time": "2026-02-09T10:12:49.503680Z" } }, "cell_type": "code", @@ -38,6 +38,7 @@ "import warnings\n", "import pickle\n", "import random\n", + "from GHA_triaxial.gha1_ES import jacobi_konstante\n", "\n", "from ellipsoide import EllipsoidTriaxial\n", "from GHA_triaxial.utils import alpha_para2ell, alpha_ell2para\n", @@ -57,13 +58,13 @@ ], "id": "2005e5a8854eea1e", "outputs": [], - "execution_count": 3 + "execution_count": 2 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-02-08T18:12:55.013436Z", - "start_time": "2026-02-08T18:12:54.788777Z" + "end_time": "2026-02-09T09:02:39.843851Z", + "start_time": "2026-02-09T09:02:38.998139Z" } }, "cell_type": "code", @@ -76,7 +77,7 @@ ], "id": "90f107a11ff0de7e", "outputs": [], - "execution_count": 4 + "execution_count": 3 }, { "metadata": {}, @@ -101,8 +102,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-02-08T18:27:32.626200Z", - "start_time": "2026-02-08T18:27:28.458773Z" + "end_time": "2026-02-09T10:12:04.519634Z", + "start_time": "2026-02-09T10:12:00.680678Z" } }, "cell_type": "code", @@ -110,9 +111,9 @@ "def build_examples(test):\n", " if test == \"Karney\":\n", " ell: EllipsoidTriaxial = EllipsoidTriaxial.init_name(\"KarneyTest2024\")\n", - " num = 1\n", + " num = 5\n", " seed = 42\n", - " groups = [\"a_short\", \"a_long\", \"b_short\", \"b_long\", \"c_short\", \"c_long\", \"de_short\", \"de_long\"]\n", + " groups = [\"a_short\", \"a_long\", \"b_short\", \"b_long\", \"c_short\", \"c_long\", \"de_short\", \"de_long\", \"e_short\", \"e_long\"]\n", " group_indices = []\n", " examples = []\n", " for group in groups:\n", @@ -151,7 +152,7 @@ ], "id": "6770dbd57d475127", "outputs": [], - "execution_count": 23 + "execution_count": 14 }, { "metadata": { @@ -267,7 +268,6 @@ " # with warnings.catch_warnings():\n", " # warnings.simplefilter(\"ignore\", RuntimeWarning)\n", " # alpha0_num, alpha1_num_2, s_num = gha2_num(ell, beta0, lamb0, beta1, lamb1, n=steps)\n", - " # print(alpha0_num, alpha1_num_2, s_num)\n", " # end = time.perf_counter()\n", " # d_alpha0 = abs(alpha0_num - alpha0_ell)\n", " # d_alpha1 = abs(alpha1_num_2 - alpha1_ell)\n", @@ -361,12 +361,7 @@ "execution_count": null }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-02-08T18:28:33.883389Z", - "start_time": "2026-02-08T18:27:55.460398Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "# dsPart = [60, 125, 600, 1250, 6000, 60000] entspricht bei der Erde ca. 100km, 50km, 10km, 5km, 1km, 100m\n", @@ -387,35 +382,8 @@ "save_results(test, results_karney)" ], "id": "5d35a01ba8d6e2b1", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "----- Beispiel 1/10\n", - "----- Beispiel 2/10\n", - "Umrechnung cart2ell: Punktdifferenz\n", - "----- Beispiel 3/10\n", - "----- Beispiel 4/10\n", - "----- Beispiel 5/10\n", - "Umrechnung cart2ell: Punktdifferenz\n", - "Umrechnung cart2ell: Punktdifferenz\n", - "----- Beispiel 6/10\n", - "GHA1_ana: explodiert, Punkt liegt nicht mehr auf dem Ellipsoid\n", - "GHA1_ana: explodiert, Punkt liegt nicht mehr auf dem Ellipsoid\n", - "----- Beispiel 7/10\n", - "Umrechnung cart2ell: Punktdifferenz\n", - "Umrechnung cart2ell: Punktdifferenz\n", - "----- Beispiel 8/10\n", - "GHA1_ana: explodiert, Punkt liegt nicht mehr auf dem Ellipsoid\n", - "GHA1_ana: explodiert, Punkt liegt nicht mehr auf dem Ellipsoid\n", - "----- Beispiel 9/10\n", - "----- Beispiel 10/10\n", - "Umrechnung cart2ell: Punktdifferenz\n" - ] - } - ], - "execution_count": 25 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -443,19 +411,29 @@ "execution_count": null }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-02-09T10:12:58.413282Z", + "start_time": "2026-02-09T10:12:58.243121Z" + } + }, "cell_type": "code", "source": [ - "test = \"Random\"\n", + "test = \"Karney\"\n", "with open(f\"gha_results{test}.pkl\", \"rb\") as f:\n", " results = pickle.load(f)" ], "id": "4c20a0579c0f7038", "outputs": [], - "execution_count": null + "execution_count": 3 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-02-09T10:12:59.354458Z", + "start_time": "2026-02-09T10:12:59.191379Z" + } + }, "cell_type": "code", "source": [ "# results wrappen\n", @@ -469,8 +447,10 @@ " if '[\"]' in metrics_gha1[i]:\n", " if not np.isnan(metric):\n", " metric %= (2*np.pi)\n", - " if not \"beta\" in metrics_gha1[i]:\n", + " if not \"Beta\" in metrics_gha1[i]:\n", " metric = min(metric, abs(metric - 2*np.pi))\n", + " if \"Alpha\" in metrics_gha1[i]:\n", + " metric = min(metric, abs(metric - np.pi))\n", " results[example][method][i] = metric\n", " if \"GHA2\" in method:\n", " for i, metric in enumerate(method_metrics):\n", @@ -480,15 +460,22 @@ " if not np.isnan(metric):\n", " metric %= (2*np.pi)\n", " metric = min(metric, abs(metric - 2*np.pi))\n", + " if \"Alpha\" in metrics_gha1[i]:\n", + " metric = min(metric, abs(metric - np.pi))\n", " results[example][method][i] = metric\n", " pass" ], "id": "24ee93abe040e707", "outputs": [], - "execution_count": null + "execution_count": 4 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-02-09T10:15:11.057178Z", + "start_time": "2026-02-09T10:15:10.842564Z" + } + }, "cell_type": "code", "source": [ "# results nach Gruppe sortieren\n", @@ -515,26 +502,66 @@ ], "id": "2086b5bcd8416e33", "outputs": [], + "execution_count": 12 + }, + { + "metadata": {}, + "cell_type": "code", + "source": "pass", + "id": "8d46dd972dfdc66f", + "outputs": [], "execution_count": null }, { "metadata": { "ExecuteTime": { - "end_time": "2026-02-08T18:30:41.031480Z", - "start_time": "2026-02-08T18:30:40.781585Z" + "end_time": "2026-02-09T10:13:44.482218Z", + "start_time": "2026-02-09T10:13:44.328266Z" } }, "cell_type": "code", - "source": "results = results_karney", - "id": "59f0b7f88002aff6", + "source": [ + "# group_indices Karney\n", + "group_indices = []\n", + "ell: EllipsoidTriaxial = EllipsoidTriaxial.init_name(\"KarneyTest2024\")\n", + "for example in results.keys():\n", + " long_short = 2\n", + " split = example.split(\",\")\n", + " beta0 = wu.deg2rad(float(split[0].split(\":\")[1]))\n", + " lamb0 = wu.deg2rad(float(split[1].split(\":\")[1]))\n", + " alpha0 = wu.deg2rad(float(split[2].split(\":\")[1]))\n", + " s = float(split[3].split(\":\")[1])\n", + " gamma = jacobi_konstante(beta0, lamb0, alpha0, ell)\n", + "\n", + " index = \"\"\n", + " if 1 >= gamma >= 0.01:\n", + " index = \"a\"\n", + " elif 0.01 > gamma > 1e-20:\n", + " index = \"b\"\n", + " elif abs(gamma) <= 1e-20:\n", + " index = \"c\"\n", + " elif -1e-20 > gamma > -1e-17:\n", + " index = \"d\"\n", + " elif -1e-17 >= gamma >= -1:\n", + " index = \"e\"\n", + "\n", + " if index != \"\":\n", + " if s < long_short:\n", + " index += \"_short\"\n", + " elif s >= long_short:\n", + " index += \"_long\"\n", + "\n", + " group_indices.append(index)" + ], + "id": "567b66ef21126628", "outputs": [], - "execution_count": 27 + "execution_count": 9 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-02-08T18:30:43.764880Z", - "start_time": "2026-02-08T18:30:42.661191Z" + "end_time": "2026-02-09T10:13:51.135041Z", + "start_time": "2026-02-09T10:13:47.712516Z" } }, "cell_type": "code", @@ -566,7 +593,6 @@ " example_keys = [example_key for example_key in list(results.keys())]\n", " else:\n", " example_keys = [example_key for example_key, group_index in zip(results.keys(), group_indices) if group_index==group_value]\n", - "\n", " algorithms = sorted({algorithm for example_key in example_keys for algorithm in results[example_key].keys() if algorithm.startswith(gha_prefix)})\n", "\n", " header = [\"Algorithmus\", \"Parameter\", \"NaN\"] + list(metrics)\n", @@ -628,28 +654,54 @@ ], "id": "eeb5a204cc4bbf7d", "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "5\n", + "1\n" + ] + }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_13876\\3822503802.py:6: RuntimeWarning:\n", + "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_7832\\3781407476.py:6: RuntimeWarning:\n", "\n", "All-NaN slice encountered\n", "\n", - "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_13876\\3822503802.py:6: RuntimeWarning:\n", + "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_7832\\3781407476.py:6: RuntimeWarning:\n", "\n", "All-NaN slice encountered\n", "\n", - "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_13876\\3822503802.py:6: RuntimeWarning:\n", + "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_7832\\3781407476.py:6: RuntimeWarning:\n", "\n", "All-NaN slice encountered\n", "\n", - "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_13876\\3822503802.py:6: RuntimeWarning:\n", + "C:\\Users\\moell\\AppData\\Local\\Temp\\ipykernel_7832\\3781407476.py:6: RuntimeWarning:\n", "\n", "All-NaN slice encountered\n", "\n" ] }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n" + ] + }, { "data": { "application/vnd.plotly.v1+json": { @@ -659,60 +711,123 @@ "align": "center", "values": [ [ + "ES", + "ES", + "ES", "ana", "ana", "ana", "ana", "ana", - "ana" + "ana", + "approx", + "approx", + "approx", + "num", + "num", + "num" ], [ + "1250", + "60", + "600", "20_16", "20_64", "20_8", "60_16", "60_64", - "60_8" + "60_8", + "1250", + "30000", + "6000", + "1000", + "10000", + "50000" ], [ 0, 0, - 1, + 0, + 0, + 0, + 4, + 0, + 0, + 2, + 0, + 0, + 0, 0, 0, 0 ], [ - "8.4e-07", - "1.14e-11", - "nan", - "5.72e-11", - "1.14e-11", - "4e-07" + "9.62e+04", + "4.95e+04", + "7.42e+04", + "0.00999", + "2.73e-09", + "8.89e-05", + "8.93e-10", + "2.73e-09", + "0.042", + "8.27e+03", + "1.72e+05", + "1.72e+05", + "0.373", + "0.373", + "0.373" ], [ - "1.2e-07", - "0", - "nan", - "4.58e-11", - "0", - "1.69e-09" + "3.28e+04", + "6.27e+04", + "8.06e+04", + "0.0177", + "3.46e-09", + "2.23e-05", + "1.2e-09", + "3.46e-09", + "0.00507", + "9.92e+03", + "1.16e+05", + "1.16e+05", + "0.547", + "0.547", + "0.547" ], [ - "1.09e-07", - "4.58e-11", - "nan", - "0", - "4.58e-11", - "4.86e-08" + "2.18e+04", + "7.32e+04", + "1.08e+05", + "0.0327", + "3.66e-09", + "1.47e-05", + "1.47e-09", + "3.66e-09", + "0.839", + "1.05e+04", + "2.74e+05", + "2.74e+05", + "0.853", + "0.853", + "0.853" ], [ - "0.0339", - "0.125", - "nan", - "0.529", - "2.04", - "0.278" + "57.1", + "4.12", + "32.3", + "0.0606", + "0.248", + "0.0308", + "1.02", + "4.01", + "0.502", + "1.61", + "38.7", + "7.43", + "0.0388", + "0.413", + "2.08" ] ] }, @@ -1588,13 +1703,83 @@ "cells": { "align": "center", "values": [ - [], - [], - [], - [], - [], - [], - [] + [ + "ES", + "ES", + "ES", + "approx", + "approx", + "approx", + "num", + "num", + "num" + ], + [ + "1250", + "60", + "600", + "1250", + "600", + "6000", + "1000", + "10000", + "5000" + ], + [ + 0, + 0, + 0, + 1, + 1, + 1, + 0, + 0, + 0 + ], + [ + "1.04e+05", + "1.04e+05", + "1.04e+05", + "1.76e+05", + "1.76e+05", + "1.76e+05", + "3.46e+05", + "3.46e+05", + "3.46e+05" + ], + [ + "9.27e+04", + "9.29e+04", + "9.27e+04", + "2.94e+05", + "2.94e+05", + "2.94e+05", + "3.15e+05", + "3.15e+05", + "3.15e+05" + ], + [ + "0.00785", + "0.00782", + "0.00785", + "0.106", + "0.106", + "0.106", + "2.11", + "2.11", + "2.11" + ], + [ + "73.1", + "5.53", + "37.5", + "0.568", + "0.242", + "1.63", + "14.4", + "56.4", + "55.2" + ] ] }, "header": { @@ -2470,22 +2655,49 @@ "align": "center", "values": [ [ + "ES", + "ES", + "ES", "ana", "ana", "ana", "ana", "ana", - 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"showgrid": false, - "showline": true, - "ticks": "outside" - }, - "baxis": { - "gridcolor": "rgb(232,232,232)", - "linecolor": "rgb(36,36,36)", - "showgrid": false, - "showline": true, - "ticks": "outside" - }, - "bgcolor": "white", - "caxis": { - "gridcolor": "rgb(232,232,232)", - "linecolor": "rgb(36,36,36)", - "showgrid": false, - "showline": true, - "ticks": "outside" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "rgb(232,232,232)", - "linecolor": "rgb(36,36,36)", - "showgrid": false, - "showline": true, - "ticks": "outside", - "title": { - "standoff": 15 - }, - "zeroline": false, - "zerolinecolor": "rgb(36,36,36)" - }, - "yaxis": { - "automargin": true, - "gridcolor": "rgb(232,232,232)", - "linecolor": "rgb(36,36,36)", - "showgrid": false, - "showline": true, - "ticks": "outside", - "title": { - "standoff": 15 - }, - "zeroline": false, - "zerolinecolor": "rgb(36,36,36)" - } - } - }, - "margin": { - "l": 20, - "r": 20, - "t": 60, - "b": 20 - }, "title": { "text": "Karney - Gruppe e_short - GHA1" }, @@ -17789,13 +13367,83 @@ "cells": { "align": "center", "values": [ - [], - [], - [], - [], - [], - [], - [] + [ + "ES", + "ES", + "ES", + "approx", + "approx", + "approx", + "num", + "num", + "num" + ], + [ + "1250", + "60", + "600", + "1250", + "600", + "6000", + "1000", + "10000", + "5000" + ], + [ + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 1, + 1 + ], + [ + "1.89e+05", + "1.9e+05", + "1.89e+05", + "1.66e+05", + "1.36e+05", + "4.24e+05", + "nan", + "nan", + "nan" + ], + [ + "3.48e+05", + "3.48e+05", + "3.48e+05", + "3.23e+05", + "3.23e+05", + "3.23e+05", + "nan", + "nan", + "nan" + ], + [ + "1.11", + "1.11", + "1.11", + "1.11", + "1.11", + "1.11", + "nan", + "nan", + "nan" + ], + [ + "36.4", + "2.72", + "18.9", + "0.177", + "0.0886", + "0.686", + "nan", + "nan", + "nan" + ] ] }, "header": { @@ -18663,10 +14311,15 @@ } } ], - "execution_count": 28 + "execution_count": 10 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-02-09T09:19:29.235114Z", + "start_time": "2026-02-09T09:19:29.040806Z" + } + }, "cell_type": "code", "source": [ "# Latex-Tabelle ausgeben\n", @@ -18821,7 +14474,7 @@ " cols = 2 + (1 if include_nan_col else 0) + len(metric_headers)\n", " colspec = \"|\" + \"|\".join([\"c\"] * cols) + \"|\"\n", "\n", - " header_cells = [\"Methode\", \"Parameterwerte\"]\n", + " header_cells = [\"Methode\", \"Parameter\"]\n", " if include_nan_col:\n", " header_cells.append(\"NaN\")\n", " header_cells += metric_headers\n", @@ -18911,30 +14564,85 @@ ], "id": "12591c3b707da905", "outputs": [], - "execution_count": null + "execution_count": 31 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-02-09T09:19:47.264504Z", + "start_time": "2026-02-09T09:19:47.022633Z" + } + }, "cell_type": "code", "source": [ "example_keys = list(key for i, key in enumerate(results.keys()))\n", "group = None\n", "# group = \"a\"\n", "# example_keys = list(key for i, key in enumerate(results.keys()) if group_indices[i] == group)\n", - "gha = \"GHA1\"\n", + "gha = \"GHA2\"\n", "latex = build_latex_table_from_results(\n", " results,\n", " gha_prefix=gha,\n", " example_keys=example_keys,\n", " caption=f\"Ergebnisse der Lösungsmethoden der {gha[3]}. GHA ({test})\" if group is None else f\"Ergebnisse der Lösungsmethoden der {gha[3]}. GHA ({test}, Gruppe {group})\",\n", " label=f\"tab:results_{test}_{gha}\" if group is None else f\"tab:results_{test}_{gha}_{group}\",\n", - " include_nan_col=True\n", + " include_nan_col=True,\n", + " wu=wu\n", ")\n", "print(latex)" ], "id": "44f20396e6c5493c", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GHA2_num_200: 22 falsche Linien\n", + "GHA2_num_200: 22 falsche Linien\n", + "GHA2_num_200: 22 falsche Linien\n", + "GHA2_num_200: 22 falsche Linien\n", + "GHA2_num_500: 21 falsche Linien\n", + "GHA2_num_500: 21 falsche Linien\n", + "GHA2_num_500: 21 falsche Linien\n", + "GHA2_num_500: 21 falsche Linien\n", + "GHA2_num_1000: 19 falsche Linien\n", + "GHA2_num_1000: 19 falsche Linien\n", + "GHA2_num_1000: 19 falsche Linien\n", + "GHA2_num_1000: 19 falsche Linien\n", + "GHA2_num_5000: 19 falsche Linien\n", + "GHA2_num_5000: 19 falsche Linien\n", + "GHA2_num_5000: 19 falsche Linien\n", + "GHA2_num_5000: 19 falsche Linien\n", + "GHA2_num_10000: 19 falsche Linien\n", + "GHA2_num_10000: 19 falsche Linien\n", + "GHA2_num_10000: 19 falsche Linien\n", + "GHA2_num_10000: 19 falsche Linien\n", + "\\begin{table}[H]\n", + "\\centering\n", + "\\caption{Ergebnisse der Lösungsmethoden der 2. GHA (Random)}\n", + "\\label{tab:results_Random_GHA2}\n", + "\\begin{tabular}{|c|c|c|c|c|c|c|}\n", + "\\hline\n", + "Methode & Parameter & NaN & $\\max(|\\Delta \\alpha_0|)$ [$''$] & $\\max(|\\Delta \\alpha_1|)$ [$''$] & $\\max(|\\Delta s|)$ [m] & time [s] \\\\\n", + "\\Xhline{1.5pt}\n", + "\\multirow{5}{*}{numerisch} & 200 & 4 & $1.490\\cdot10^{-02}$ & $1.276\\cdot10^{-02}$ & $1.317\\cdot10^{+00}$ & $0.21$ \\\\\n", + " & 500 & 3 & $3.833\\cdot10^{-02}$ & $4.408\\cdot10^{-02}$ & $1.355\\cdot10^{+00}$ & $0.52$ \\\\\n", + " & 1000 & 3 & $3.160\\cdot10^{-02}$ & $2.663\\cdot10^{-02}$ & $3.863\\cdot10^{+00}$ & $1.02$ \\\\\n", + " & 5000 & 3 & $1.275\\cdot10^{-04}$ & $2.077\\cdot10^{-05}$ & $6.141\\cdot10^{-02}$ & $4.67$ \\\\\n", + " & 10000 & 3 & $1.275\\cdot10^{-04}$ & $1.036\\cdot10^{-04}$ & $1.108\\cdot10^{-01}$ & $5.16$ \\\\\\hline\n", + "\\multirow{3}{*}{approximiert} & 600 & 0 & $8.033\\cdot10^{+03}$ & $8.043\\cdot10^{+03}$ & $1.730\\cdot10^{+02}$ & $0.18$ \\\\\n", + " & 1250 & 0 & $8.033\\cdot10^{+03}$ & $8.043\\cdot10^{+03}$ & $1.744\\cdot10^{+02}$ & $0.37$ \\\\\n", + " & 6000 & 0 & $8.033\\cdot10^{+03}$ & $8.043\\cdot10^{+03}$ & $1.749\\cdot10^{+02}$ & $2.61$ \\\\\\hline\n", + "\\multirow{3}{*}{ES} & 60 & 0 & $7.167\\cdot10^{+03}$ & $7.166\\cdot10^{+03}$ & $1.526\\cdot10^{+02}$ & $4.93$ \\\\\n", + " & 600 & 0 & $7.167\\cdot10^{+03}$ & $7.166\\cdot10^{+03}$ & $1.370\\cdot10^{+02}$ & $39.08$ \\\\\n", + " & 1250 & 0 & $7.167\\cdot10^{+03}$ & $7.166\\cdot10^{+03}$ & $1.384\\cdot10^{+02}$ & $73.40$ \\\\\\hline\n", + "\\end{tabular}\n", + "\\end{table}\n", + "\\noindent\n" + ] + } + ], + "execution_count": 33 } ], "metadata": { diff --git a/Tests/gha_resultsKarney.pkl b/Tests/gha_resultsKarney.pkl new file mode 100644 index 0000000..1096240 Binary files /dev/null and b/Tests/gha_resultsKarney.pkl differ diff --git a/Tests/gha_resultsPanou.pkl b/Tests/gha_resultsPanou.pkl new file mode 100644 index 0000000..8a58672 Binary files /dev/null and b/Tests/gha_resultsPanou.pkl differ diff --git a/Tests/gha_resultsRandom.pkl b/Tests/gha_resultsRandom.pkl new file mode 100644 index 0000000..70c3739 Binary files /dev/null and b/Tests/gha_resultsRandom.pkl differ diff --git a/dashboard.py b/dashboard.py index 9a7f595..fddffe4 100644 --- a/dashboard.py +++ b/dashboard.py @@ -764,7 +764,7 @@ def compute_gha1_stoch(n1, cb_stoch, n_in, beta0, lamb0, s, a0, ax, ay, b): if "on" not in (cb_stoch or []): return "", None - n_in = int(n_in) if n_in else 1000 + n_in = float(n_in) if n_in else 1000 try: ell = EllipsoidTriaxial(ax, ay, b) @@ -818,7 +818,7 @@ def compute_gha1_approx(n1, cb_approx, ds_in, beta0, lamb0, s, a0, ax, ay, b): if not n1 or "on" not in (cb_approx or []): return "", None - ds_in = int(ds_in) if ds_in else 1000 + ds_in = float(ds_in) if ds_in else 1000 try: ell = EllipsoidTriaxial(ax, ay, b) @@ -931,7 +931,7 @@ def compute_gha2_stoch(n2, cb_stoch, n_in, beta0, lamb0, beta1, lamb1, ax, ay, b if "on" not in (cb_stoch or []): return "", None - n_in = int(n_in) if n_in else 1000 + n_in = float(n_in) if n_in else 1000 try: ell = EllipsoidTriaxial(ax, ay, b) @@ -984,7 +984,7 @@ def compute_gha2_approx(n2, cb_approx, ds_in, beta0, lamb0, beta1, lamb1, ax, ay if "on" not in (cb_approx or []): return "", None - ds_in = int(ds_in) if ds_in else 1000 + ds_in = float(ds_in) if ds_in else 1000 try: ell = EllipsoidTriaxial(ax, ay, b) diff --git a/ellipsoide.py b/ellipsoide.py index 6428eb1..2208699 100644 --- a/ellipsoide.py +++ b/ellipsoide.py @@ -58,7 +58,7 @@ class EllipsoidBiaxial: phi2p = lambda self, phi: self.N(phi) * cos(phi) - def bi_cart2ell(self, point: NDArrayself, Eh: float = 0.001, Ephi: float = wu.gms2rad([0, 0, 0.001])) -> Tuple[float, float, float]: + def bi_cart2ell(self, point: NDArray, Eh: float = 0.001, Ephi: float = wu.gms2rad([0, 0, 0.001])) -> Tuple[float, float, float]: """ Umrechnung von kartesischen in ellipsoidische Koordinaten auf einem Rotationsellipsoid # TODO: Quelle