Add Pyomo.DOE to contrib

doc/OnlineDocs/contributed_packages/doe/CCSI-license.txt

@@ -0,0 +1,43 @@
+# Pyomo.DoE was originally developed as part of the Carbon Capture Simulation for Industry
+# Impact (CCSI2) project under the following license:
+#
+# *** License Agreement ***
+# 
+# Pyomo.DoE Copyright (c) 2022, by the software owners: TRIAD National Security, LLC., Lawrence 
+# Livermore National Security, LLC., Lawrence Berkeley National Laboratory, 
+# Pacific Northwest National Laboratory,  Battelle Memorial Institute, University of Notre Dame,
+# The University of Pittsburgh, The University of Texas at Austin, University of Toledo, 
+# West Virginia University, et al. All rights reserved.
+# 
+# Redistribution and use in source and binary forms, with or without modification, are permitted provided
+# that the following conditions are met:
+# (1) Redistributions of source code must retain the above copyright notice, this list of conditions and the
+# following disclaimer.
+# (2) Redistributions in binary form must reproduce the above copyright notice, this list of conditions and
+# the following disclaimer in the documentation and/or other materials provided with the distribution.
+# (3) Neither the name of the Carbon Capture Simulation for Industry Impact, 
+# TRIAD National Security, LLC., Lawrence Livermore National Security, LLC., 
+# Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory,  
+# Battelle Memorial Institute, University of Notre Dame, The University of Pittsburgh, 
+# U.S. Dept. of Energy nor the names of its contributors may be used to endorse or promote products 
+# derived from this software without specific prior written permission.
+# 
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
+# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
+# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL
+# THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
+# THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+# 
+# You are under no obligation whatsoever to provide any bug fixes, patches, or upgrades to the features,
+# functionality or performance of the source code ("Enhancements") to anyone; however, if you choose to
+# make your Enhancements available either publicly, or directly to Lawrence Berkeley National Laboratory,
+# without imposing a separate written license agreement for such Enhancements, then you hereby grant
+# the following license: a non-exclusive, royalty-free perpetual license to install, use, modify, prepare
+# derivative works, incorporate into other computer software, distribute, and sublicense such
+# enhancements or derivative works thereof, in binary and source code form.
+#
+# Lead Developers: Jialu Wang and Alexander Dowling, University of Notre Dame

doc/OnlineDocs/contributed_packages/index.rst

@@ -16,6 +16,7 @@ Contributed packages distributed with Pyomo:
    :maxdepth: 1
 
    community.rst
+   doe/doe.rst
    gdpopt.rst
    iis.rst
    mindtpy.rst

pyomo/contrib/doe/__init__.py

@@ -0,0 +1,13 @@
+#  ___________________________________________________________________________
+#
+#  Pyomo: Python Optimization Modeling Objects
+#  Copyright 2017 National Technology and Engineering Solutions of Sandia, LLC
+#  Under the terms of Contract DE-NA0003525 with National Technology and
+#  Engineering Solutions of Sandia, LLC, the U.S. Government retains certain
+#  rights in this software.
+#  This software is distributed under the 3-clause BSD License.
+#  ___________________________________________________________________________
+from .measurements import Measurements
+from .doe import DesignOfExperiments
+from .scenario import Scenario_generator
+from .result import FisherResults, GridSearchResult