Resubmitting pull request for new state definition FpTPxpc with testing

idaes/apps/uncertainty_propagation/examples/uncertainty_propagation_NRTL.ipynb

@@ -28,10 +28,16 @@
    "source": [
     "import sys\n",
     "import os\n",
-    "sys.path.append(os.path.abspath('..')) # current folder is ~/examples\n",
+    "\n",
+    "sys.path.append(os.path.abspath(\"..\"))  # current folder is ~/examples\n",
     "import pandas as pd\n",
-    "from idaes.apps.uncertainty_propagation.uncertainties import quantify_propagate_uncertainty\n",
-    "from idaes.apps.uncertainty_propagation.examples.NRTL_model_scripts import NRTL_model, NRTL_model_opt"
+    "from idaes.apps.uncertainty_propagation.uncertainties import (\n",
+    "    quantify_propagate_uncertainty,\n",
+    ")\n",
+    "from idaes.apps.uncertainty_propagation.examples.NRTL_model_scripts import (\n",
+    "    NRTL_model,\n",
+    "    NRTL_model_opt,\n",
+    ")"
    ]
   },
   {
@@ -41,11 +47,14 @@
    "outputs": [],
    "source": [
     "def SSE(model, data):\n",
-    "    expr = ((float(data[\"vap_benzene\"]) -\n",
-    "             model.fs.flash.vap_outlet.mole_frac_comp[0, \"benzene\"])**2 +\n",
-    "            (float(data[\"liq_benzene\"]) -\n",
-    "             model.fs.flash.liq_outlet.mole_frac_comp[0, \"benzene\"])**2)\n",
-    "    return expr*1E4"
+    "    expr = (\n",
+    "        float(data[\"vap_benzene\"])\n",
+    "        - model.fs.flash.vap_outlet.mole_frac_comp[0, \"benzene\"]\n",
+    "    ) ** 2 + (\n",
+    "        float(data[\"liq_benzene\"])\n",
+    "        - model.fs.flash.liq_outlet.mole_frac_comp[0, \"benzene\"]\n",
+    "    ) ** 2\n",
+    "    return expr * 1e4"
    ]
   },
   {
@@ -54,9 +63,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "variable_name = [\"fs.properties.tau['benzene', 'toluene']\", \"fs.properties.tau['toluene','benzene']\"]\n",
+    "variable_name = [\n",
+    "    \"fs.properties.tau['benzene', 'toluene']\",\n",
+    "    \"fs.properties.tau['toluene','benzene']\",\n",
+    "]\n",
     "current_path = os.path.dirname(os.path.realpath(__file__))\n",
-    "data = pd.read_csv(os.path.join(current_path, 'BT_NRTL_dataset.csv'))"
+    "data = pd.read_csv(os.path.join(current_path, \"BT_NRTL_dataset.csv\"))"
    ]
   },
   {
@@ -65,7 +77,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "results =  quantify_propagate_uncertainty(NRTL_model,NRTL_model_opt, data, variable_name, SSE)"
+    "results = quantify_propagate_uncertainty(\n",
+    "    NRTL_model, NRTL_model_opt, data, variable_name, SSE\n",
+    ")"
    ]
   }
  ],

idaes/apps/uncertainty_propagation/examples/uncertainty_propagation_rooney.ipynb

@@ -28,10 +28,16 @@
    "source": [
     "import sys\n",
     "import os\n",
-    "sys.path.append(os.path.abspath('..')) # current folder is ~/examples\n",
+    "\n",
+    "sys.path.append(os.path.abspath(\"..\"))  # current folder is ~/examples\n",
     "import pandas as pd\n",
-    "from idaes.apps.uncertainty_propagation.uncertainties import quantify_propagate_uncertainty\n",
-    "from idaes.apps.uncertainty_propagation.examples.rooney_biegler import rooney_biegler_model,rooney_biegler_model_opt"
+    "from idaes.apps.uncertainty_propagation.uncertainties import (\n",
+    "    quantify_propagate_uncertainty,\n",
+    ")\n",
+    "from idaes.apps.uncertainty_propagation.examples.rooney_biegler import (\n",
+    "    rooney_biegler_model,\n",
+    "    rooney_biegler_model_opt,\n",
+    ")"
    ]
   },
   {
@@ -41,7 +47,9 @@
    "outputs": [],
    "source": [
     "def SSE(model, data):\n",
-    "    expr = sum((data.y[i] - model.response_function[data.hour[i]])**2 for i in data.index)\n",
+    "    expr = sum(\n",
+    "        (data.y[i] - model.response_function[data.hour[i]]) ** 2 for i in data.index\n",
+    "    )\n",
     "    return expr"
    ]
   },
@@ -51,14 +59,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "variable_name = ['asymptote', 'rate_constant']\n",
-    "data = pd.DataFrame(data=[[1,8.3],\n",
-    "                          [2,10.3],\n",
-    "                          [3,19.0],\n",
-    "                          [4,16.0],\n",
-    "                          [5,15.6],\n",
-    "                          [7,19.8]],\n",
-    "                    columns=['hour', 'y'])"
+    "variable_name = [\"asymptote\", \"rate_constant\"]\n",
+    "data = pd.DataFrame(\n",
+    "    data=[[1, 8.3], [2, 10.3], [3, 19.0], [4, 16.0], [5, 15.6], [7, 19.8]],\n",
+    "    columns=[\"hour\", \"y\"],\n",
+    ")"
    ]
   },
   {
@@ -67,7 +72,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "results =  quantify_propagate_uncertainty(rooney_biegler_model,rooney_biegler_model_opt, data, variable_name, SSE)"
+    "results = quantify_propagate_uncertainty(\n",
+    "    rooney_biegler_model, rooney_biegler_model_opt, data, variable_name, SSE\n",
+    ")"
    ]
   }
  ],

idaes/models/properties/modular_properties/base/generic_property.py

@@ -2873,6 +2873,7 @@ def build(self):
                 initialize=t_value,
                 doc="Temperature for calculating phase equilibrium",
                 units=t_units,
+                bounds=self.temperature.bounds,
             )
 
         # Create common components for each property package