Checkout prev versions of the notebooks that got modified somehow

mitchute · Apr 26, 2024 · ec9fb6a · ec9fb6a
1 parent 048d45a
commit ec9fb6a
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Showing 9 changed files with 610 additions and 610 deletions.
diff --git a/studies/aggregation/scripts/Pareto_Investigations.ipynb b/studies/aggregation/scripts/Pareto_Investigations.ipynb
diff --git a/validation/MFRTRT/Investigate_Aggregation.ipynb b/validation/MFRTRT/Investigate_Aggregation.ipynb
diff --git a/validation/MFRTRT/MFRTRT_Validation.ipynb b/validation/MFRTRT/MFRTRT_Validation.ipynb
diff --git a/validation/MFRTRT_STS/STS_Flow_Testing.ipynb b/validation/MFRTRT_STS/STS_Flow_Testing.ipynb
diff --git a/validation/Pipe/plot_pipe_temps.ipynb b/validation/Pipe/plot_pipe_temps.ipynb
@@ -4,72 +4,73 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "import os\n",
     "import sys\n",
     "\n",
     "import numpy as np"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "cwd = os.getcwd()\n",
     "join = os.path.join\n",
     "norm = os.path.normpath"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "sys.path.insert(0, norm(join(cwd, '..', '..', '..', 'GLHE')))"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "from unit_tests.glhe.topology.test_pipe import TestPipe\n",
     "from glhe.interface.response import SimulationResponse"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "%matplotlib inline"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plt.style.use('seaborn-bright')\n",
     "plt.rcParams['figure.figsize'] = [7, 5]\n",
     "plt.rcParams['font.size'] = 14\n",
     "\n",
     "# pd.set_option('display.max_columns', None)\n",
     "# pd.set_option('display.max_rows', None)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "def check_response(m_dot, dt):\n",
     "    init_temp = 20\n",
@@ -90,13 +91,13 @@
     "        tau.append(t / t_tr)\n",
     "        \n",
     "    return tau, temps, re, t_tr"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "def plot_results(m_dot):\n",
     "    fig = plt.figure(dpi=200)\n",
@@ -118,80 +119,79 @@
     "    plt.grid()\n",
     "    plt.savefig('Pipe_Re-{:0.0f}.PNG'.format(re), bbox_inches='tight')\n",
     "    plt.show()"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_results(0.01)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_results(0.03)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_results(0.05)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_results(0.1)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_results(0.25)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_results(0.5)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
     "scrolled": false
    },
+   "outputs": [],
    "source": [
     "plot_results(1.0)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "source": [],
-   "outputs": []
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

diff --git a/validation/Radial_Numerical_BH/compare_radial_g-vals.ipynb b/validation/Radial_Numerical_BH/compare_radial_g-vals.ipynb
@@ -4,6 +4,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "import os\n",
     "import sys\n",
@@ -13,105 +14,105 @@
     "\n",
     "# from io import StringIO\n",
     "# from scipy.interpolate import interp1d"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "# shortcuts\n",
     "cwd = os.getcwd()\n",
     "join = os.path.join\n",
     "norm = os.path.normpath"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "sys.path.append(norm(join(cwd, '..', '..', 'tests')))"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "import tests"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "%matplotlib inline"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plt.style.use('seaborn-bright')\n",
     "plt.rcParams['figure.figsize'] = [15, 9]\n",
     "plt.rcParams['font.size'] = 12\n",
     "\n",
     "pd.set_option('display.max_columns', None)\n",
     "# pd.set_option('display.max_rows', None)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "df = pd.read_csv(\"GLHEPro_g-vals.csv\")"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "f_glhepro = interp1d(df['LNTTS (GLHEPro)'].dropna().values, df['g (GLHEPro)'].dropna().values)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "tst = tests.glhe.topology.test_radial_numerical_borehole.TestRadialNumericalBH().add_instance()\n",
     "lntts, g = tst.calc_sts_g_functions()\n",
     "f_sts = interp1d(lntts, g, fill_value='extrapolate')"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "x = np.arange(-14.5, -9, 0.1)"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plt.plot(x, f_eplus(x), label='E+')\n",
     "plt.plot(x, f_glhepro(x), label='GLHEPro')\n",
@@ -123,15 +124,14 @@
     "plt.legend()\n",
     "plt.grid()\n",
     "plt.show()"
-   ],
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "source": [],
-   "outputs": []
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {