applying black

Sakshi21299 · Apr 30, 2024 · 5ddd40c · 5ddd40c
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diff --git a/pareto/examples/Membrane_Distillation/MD_PARETO.ipynb b/pareto/examples/Membrane_Distillation/MD_PARETO.ipynb
@@ -23,7 +23,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To effectively run this Jupyter Notebook and utilize the associated flowsheet for the Membrane Distillation process simulation and optimization, it's necessary to have the WaterTAP package installed on your system. Detailed installation instructions can be found inthe [WaterTAP documentation](https://watertap.readthedocs.io/en/latest/getting_started.html).\n",
+    "To effectively run this Jupyter Notebook and utilize the associated flowsheet for the Membrane Distillation process simulation and optimization, it's necessary to have the WaterTAP package installed on your system. Detailed installation instructions can be found in the [WaterTAP documentation](https://watertap.readthedocs.io/en/latest/getting_started.html).\n",
     "Note: This model depends on some features in WaterTAP that are not part of the latest release. So, at present, the only way to successfully run this notebook is to install the development version of WaterTAP rather than pip install watertap"
    ]
   },

diff --git a/pareto/examples/Membrane_Distillation/MD_single_stage_continuous_recirculation.py b/pareto/examples/Membrane_Distillation/MD_single_stage_continuous_recirculation.py
@@ -82,7 +82,6 @@ def main():
 
 
 def build():
-
     # flowsheet set up
     m = ConcreteModel()
     m.fs = FlowsheetBlock(dynamic=False)

diff --git a/...egrated_desalination_jupyter_notebooks/integrated_optimization_mvr_jupyter_notebook.ipynb b/...egrated_desalination_jupyter_notebooks/integrated_optimization_mvr_jupyter_notebook.ipynb
@@ -6,7 +6,7 @@
    "metadata": {},
    "source": [
     "## Integrating rigorous desalination models into network optimization\n",
-    "It is often desired to design a desalination plant at a certain desalination site in the network. However, it is not clear what the optimal design and operation opf the plant should be. In this notebook we show how to co-optimize the network operation and desalination design by using the integrated optimization model available in PARETO. \n",
+    "It is often desired to design a desalination plant at a certain desalination site in the network. However, it is not clear what the optimal design and operation of the plant should be. In this notebook we show how to co-optimize the network operation and desalination design by using the integrated optimization model available in PARETO. \n",
     "\n",
     "First we import the necessary utilities to read the network data, the function to build the integrated model with MEE-MVR as the desalination model choice (`integrated_model_build`) and the Pyomo package."
    ]
@@ -60,7 +60,7 @@
    "source": [
     "Along with network data the integrated model inputs a dictionary with the name of the site at which the desalination unit needs to be built and the corresponding number of evaporator stages that need to be built at that site. For example if at site \"R01_IN\" we want to build an MEE-MVR unit consisting of a single evaporator stage, the dictionary will be: {\"R01\":1}\n",
     "\n",
-    "For more information on MEE-MVR desalination please refer to the `mee_mvr_jupyter_notebook`. "
+    "For more information on MEE-MVR desalination please refer to the [mee_mvr_jupyter_notebook](../desalination_jupyter_notebooks/mee_mvr_jupyter_notebook.ipynb). "
    ]
   },
   {