diff --git a/examples/__init__.py b/examples/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/examples/scripts/__init__.py b/examples/scripts/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/examples/scripts/sellar_problem.py b/examples/scripts/sellar_problem.py
index ab11ccd6587156a5ad3050447e29dd2fe9de9110..a6c6f2ebaeb4eb1d3c28e40a1e516d7cab154341 100644
--- a/examples/scripts/sellar_problem.py
+++ b/examples/scripts/sellar_problem.py
@@ -25,11 +25,12 @@ mdao_definitions = ['unconverged-MDA-J', # 0
'unconverged-OPT-GS', # 9
'MDF-GS', # 10
'MDF-J', # 11
- 'IDF'] # 12
+ 'IDF', # 12
+ 'CO'] # 13
# Settings for scripting
mdao_definitions_loop_all = True # Option for looping through all MDAO definitions
-mdao_definition_id = 9 # Option for selecting a MDAO definition (in case mdao_definitions_loop_all=False)
+mdao_definition_id = 13 # Option for selecting a MDAO definition (in case mdao_definitions_loop_all=False)
# Settings for saving
pdf_dir = 'sellar_problem/(X)DSM'
diff --git a/examples/scripts/sellar_problem/(X)DSM/FPG_CO.pdf b/examples/scripts/sellar_problem/(X)DSM/FPG_CO.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..3113df5dc46c62d8225030a208815d35e0bfbde6
Binary files /dev/null and b/examples/scripts/sellar_problem/(X)DSM/FPG_CO.pdf differ
diff --git a/examples/scripts/sellar_problem/(X)DSM/RCG.pdf b/examples/scripts/sellar_problem/(X)DSM/RCG.pdf
index 1897b59e04bdb233156372c5e9a8e730a8ce460a..313dcac0651a29e61127c1c771bfe9a11743d0f9 100644
Binary files a/examples/scripts/sellar_problem/(X)DSM/RCG.pdf and b/examples/scripts/sellar_problem/(X)DSM/RCG.pdf differ
diff --git a/examples/scripts/sellar_problem/CMDOWS/FPG_CO.xml b/examples/scripts/sellar_problem/CMDOWS/FPG_CO.xml
new file mode 100644
index 0000000000000000000000000000000000000000..38f78827d90f7596fe52a3ad4495ccbf43e8edff
--- /dev/null
+++ b/examples/scripts/sellar_problem/CMDOWS/FPG_CO.xml
@@ -0,0 +1,417 @@
+<?xml version='1.0' encoding='UTF-8'?>
+<cmdows xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="https://bitbucket.org/imcovangent/cmdows/raw/master/schema/0.7/cmdows.xsd">
+ <header>
+ <creator>Imco van Gent</creator>
+ <description>FPG CMDOWS file of the well-known Sellar problem</description>
+ <timestamp>2018-01-11T18:59:20.064371</timestamp>
+ <fileVersion>0.1</fileVersion>
+ <cmdowsVersion>0.7</cmdowsVersion>
+ <updates>
+ <update>
+ <modification>KADMOS export of a fundamental problem graph (FPG).</modification>
+ <creator>Imco van Gent</creator>
+ <timestamp>2018-01-11T18:59:20.064371</timestamp>
+ <fileVersion>0.1</fileVersion>
+ <cmdowsVersion>0.7</cmdowsVersion>
+ </update>
+ </updates>
+ <organization>
+ <contacts>
+ <contact uID="ivangent">
+ <email>i.vangent@tudelft.nl</email>
+ <company>TU Delft</company>
+ <name>Imco van Gent</name>
+ </contact>
+ <contact uID="lmuller">
+ <email>l.muller@student.tudelft.nl</email>
+ <company>TU Delft</company>
+ <name>Lukas Muller</name>
+ </contact>
+ </contacts>
+ <organigram>
+ <integrators>
+ <integrator>
+ <contactUID>lmuller</contactUID>
+ </integrator>
+ </integrators>
+ <architects>
+ <architect>
+ <contactUID>ivangent</contactUID>
+ </architect>
+ <architect>
+ <contactUID>lmuller</contactUID>
+ </architect>
+ </architects>
+ </organigram>
+ </organization>
+ </header>
+ <executableBlocks>
+ <designCompetences>
+ <designCompetence uID="D1[main][1][1.0]">
+ <ID>D1</ID>
+ <modeID>main</modeID>
+ <instanceID>1</instanceID>
+ <version>1.0</version>
+ <label>D1</label>
+ <inputs>
+ <input>
+ <parameterUID>/data_schema/geometry/x1</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/geometry/z2</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/analyses/y2</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/settings/c</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/geometry/z1</parameterUID>
+ <validRanges>
+ <limitRange>
+ <minimum>-5</minimum>
+ <maximum>5.0</maximum>
+ </limitRange>
+ <listRange>
+ <listRangeItem>7.5</listRangeItem>
+ <listRangeItem>8</listRangeItem>
+ </listRange>
+ </validRanges>
+ </input>
+ </inputs>
+ <outputs>
+ <output>
+ <parameterUID>/data_schema/analyses/y1</parameterUID>
+ </output>
+ </outputs>
+ </designCompetence>
+ <designCompetence uID="D2[main][1][1.0]">
+ <ID>D2</ID>
+ <modeID>main</modeID>
+ <instanceID>1</instanceID>
+ <version>1.0</version>
+ <label>D2</label>
+ <inputs>
+ <input>
+ <parameterUID>/data_schema/analyses/y1</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/geometry/z1</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/settings/c</parameterUID>
+ </input>
+ <input>
+ <parameterUID>/data_schema/geometry/z2</parameterUID>
+ </input>
+ </inputs>
+ <outputs>
+ <output>
+ <parameterUID>/data_schema/analyses/y2</parameterUID>
+ </output>
+ </outputs>
+ </designCompetence>
+ </designCompetences>
+ <mathematicalFunctions>
+ <mathematicalFunction uID="A">
+ <label>A</label>
+ <inputs>
+ <input>
+ <parameterUID>/data_schema/settings/a</parameterUID>
+ <equationLabel>a</equationLabel>
+ </input>
+ </inputs>
+ <outputs>
+ <output>
+ <parameterUID>/data_schema/settings/c</parameterUID>
+ <equations uID="A_equation">
+ <equation language="Python">a</equation>
+ <equation language="LaTeX">a</equation>
+ <equation language="MathML"><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math></equation>
+ </equations>
+ </output>
+ </outputs>
+ </mathematicalFunction>
+ <mathematicalFunction uID="F1">
+ <label>F1</label>
+ <inputs>
+ <input>
+ <parameterUID>/data_schema/geometry/x1</parameterUID>
+ <equationLabel>x1</equationLabel>
+ </input>
+ <input>
+ <parameterUID>/data_schema/analyses/y1</parameterUID>
+ <equationLabel>y1</equationLabel>
+ </input>
+ <input>
+ <parameterUID>/data_schema/analyses/y2</parameterUID>
+ <equationLabel>y2</equationLabel>
+ </input>
+ <input>
+ <parameterUID>/data_schema/geometry/z2</parameterUID>
+ <equationLabel>z2</equationLabel>
+ </input>
+ </inputs>
+ <outputs>
+ <output>
+ <parameterUID>/data_schema/analyses/f</parameterUID>
+ <equations uID="F1_equation">
+ <equation language="Python">x1**2+z2+y1+exp(-y2)</equation>
+ <equation language="LaTeX">x1^2+z2+y1+e^{-y2}</equation>
+ <equation language="MathML"><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><msup><mn>1</mn><mn>2</mn></msup><mo>+</mo><mi>z</mi><mn>2</mn><mo>+</mo><mi>y</mi><mn>1</mn><mo>+</mo><msup><mi>e</mi><mrow><mo>-</mo><mi>y</mi><mn>2</mn></mrow></msup></math></equation>
+ </equations>
+ </output>
+ </outputs>
+ </mathematicalFunction>
+ <mathematicalFunction uID="G2">
+ <label>G2</label>
+ <inputs>
+ <input>
+ <parameterUID>/data_schema/analyses/y2</parameterUID>
+ <equationLabel>y2</equationLabel>
+ </input>
+ </inputs>
+ <outputs>
+ <output>
+ <parameterUID>/data_schema/analyses/g2</parameterUID>
+ <equations uID="G2_equation">
+ <equation language="Python">1-y2/24.0</equation>
+ <equation language="LaTeX">1-y2/24.0</equation>
+ <equation language="MathML"><math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><mo>-</mo><mi>y</mi><mn>2</mn><mo>/</mo><mn>24</mn><mo>.</mo><mn>0</mn></math></equation>
+ </equations>
+ </output>
+ </outputs>
+ </mathematicalFunction>
+ <mathematicalFunction uID="G1">
+ <label>G1</label>
+ <inputs>
+ <input>
+ <parameterUID>/data_schema/analyses/y1</parameterUID>
+ <equationLabel>y1</equationLabel>
+ </input>
+ </inputs>
+ <outputs>
+ <output>
+ <parameterUID>/data_schema/analyses/g1</parameterUID>
+ <equations uID="G1_equation">
+ <equation language="Python">y1/3.16-1</equation>
+ <equation language="LaTeX">y1/3.16-1</equation>
+ <equation language="MathML"><math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mn>1</mn><mo>/</mo><mn>3</mn><mo>.</mo><mn>16</mn><mo>-</mo><mn>1</mn></math></equation>
+ </equations>
+ </output>
+ </outputs>
+ </mathematicalFunction>
+ </mathematicalFunctions>
+ </executableBlocks>
+ <parameters>
+ <parameter uID="/data_schema/analyses/y2">
+ <label>y2</label>
+ </parameter>
+ <parameter uID="/data_schema/analyses/y1">
+ <label>y1</label>
+ </parameter>
+ <parameter uID="/data_schema/settings/c">
+ <label>c</label>
+ </parameter>
+ <parameter uID="/data_schema/settings/a">
+ <label>a</label>
+ </parameter>
+ <parameter uID="/data_schema/geometry/x1">
+ <label>x1</label>
+ </parameter>
+ <parameter uID="/data_schema/geometry/z2">
+ <label>z2</label>
+ </parameter>
+ <parameter uID="/data_schema/geometry/z1">
+ <label>z1</label>
+ </parameter>
+ <parameter uID="/data_schema/analyses/f">
+ <label>f</label>
+ </parameter>
+ <parameter uID="/data_schema/analyses/g2">
+ <label>g2</label>
+ </parameter>
+ <parameter uID="/data_schema/analyses/g1">
+ <label>g1</label>
+ </parameter>
+ </parameters>
+ <problemDefinition uID="CONone">
+ <problemFormulation>
+ <mdaoArchitecture>CO</mdaoArchitecture>
+ <executableBlocksOrder>
+ <executableBlock position="1">A</executableBlock>
+ <executableBlock position="2">D2[main][1][1.0]</executableBlock>
+ <executableBlock position="3">D1[main][1][1.0]</executableBlock>
+ <executableBlock position="4">F1</executableBlock>
+ <executableBlock position="5">G2</executableBlock>
+ <executableBlock position="6">G1</executableBlock>
+ </executableBlocksOrder>
+ <allowUnconvergedCouplings>false</allowUnconvergedCouplings>
+ </problemFormulation>
+ <problemRoles>
+ <parameters>
+ <designVariables>
+ <designVariable uID="__desVar__/data_schema/geometry/x1">
+ <parameterUID>/data_schema/geometry/x1</parameterUID>
+ <nominalValue>0.0</nominalValue>
+ <validRanges>
+ <limitRange>
+ <minimum>0.0</minimum>
+ <maximum>10</maximum>
+ </limitRange>
+ </validRanges>
+ </designVariable>
+ <designVariable uID="__desVar__/data_schema/geometry/z2">
+ <parameterUID>/data_schema/geometry/z2</parameterUID>
+ <nominalValue>0.0</nominalValue>
+ <validRanges>
+ <limitRange>
+ <minimum>0.0</minimum>
+ <maximum>10</maximum>
+ </limitRange>
+ </validRanges>
+ </designVariable>
+ <designVariable uID="__desVar__/data_schema/geometry/z1">
+ <parameterUID>/data_schema/geometry/z1</parameterUID>
+ <nominalValue>0.0</nominalValue>
+ <validRanges>
+ <limitRange>
+ <minimum>-10</minimum>
+ <maximum>10</maximum>
+ </limitRange>
+ </validRanges>
+ </designVariable>
+ </designVariables>
+ <objectiveVariables>
+ <objectiveVariable uID="__objVar__/data_schema/analyses/f">
+ <parameterUID>/data_schema/analyses/f</parameterUID>
+ </objectiveVariable>
+ </objectiveVariables>
+ <constraintVariables>
+ <constraintVariable uID="__conVar__/data_schema/analyses/g2">
+ <parameterUID>/data_schema/analyses/g2</parameterUID>
+ <constraintType>inequality</constraintType>
+ <constraintOperator>>=</constraintOperator>
+ <referenceValue>0.0</referenceValue>
+ </constraintVariable>
+ <constraintVariable uID="__conVar__/data_schema/analyses/g1">
+ <parameterUID>/data_schema/analyses/g1</parameterUID>
+ <constraintType>inequality</constraintType>
+ <constraintOperator>>=</constraintOperator>
+ <referenceValue>0.0</referenceValue>
+ </constraintVariable>
+ </constraintVariables>
+ </parameters>
+ <executableBlocks>
+ <preCouplingBlocks>
+ <preCouplingBlock>A</preCouplingBlock>
+ </preCouplingBlocks>
+ <coupledBlocks>
+ <coupledBlock>D2[main][1][1.0]</coupledBlock>
+ <coupledBlock>D1[main][1][1.0]</coupledBlock>
+ </coupledBlocks>
+ <postCouplingBlocks>
+ <postCouplingBlock>F1</postCouplingBlock>
+ <postCouplingBlock>G2</postCouplingBlock>
+ <postCouplingBlock>G1</postCouplingBlock>
+ </postCouplingBlocks>
+ </executableBlocks>
+ </problemRoles>
+ </problemDefinition>
+ <workflow>
+ <dataGraph>
+ <name>FPG - CO</name>
+ <edges>
+ <edge>
+ <fromExecutableBlockUID>A</fromExecutableBlockUID>
+ <toParameterUID>/data_schema/settings/c</toParameterUID>
+ </edge>
+ <edge>
+ <fromExecutableBlockUID>F1</fromExecutableBlockUID>
+ <toParameterUID>/data_schema/analyses/f</toParameterUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/analyses/y2</fromParameterUID>
+ <toExecutableBlockUID>D1[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/analyses/y2</fromParameterUID>
+ <toExecutableBlockUID>F1</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/analyses/y2</fromParameterUID>
+ <toExecutableBlockUID>G2</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromExecutableBlockUID>G2</fromExecutableBlockUID>
+ <toParameterUID>/data_schema/analyses/g2</toParameterUID>
+ </edge>
+ <edge>
+ <fromExecutableBlockUID>G1</fromExecutableBlockUID>
+ <toParameterUID>/data_schema/analyses/g1</toParameterUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/analyses/y1</fromParameterUID>
+ <toExecutableBlockUID>F1</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/analyses/y1</fromParameterUID>
+ <toExecutableBlockUID>G1</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/analyses/y1</fromParameterUID>
+ <toExecutableBlockUID>D2[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/x1</fromParameterUID>
+ <toExecutableBlockUID>D1[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/x1</fromParameterUID>
+ <toExecutableBlockUID>F1</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromExecutableBlockUID>D1[main][1][1.0]</fromExecutableBlockUID>
+ <toParameterUID>/data_schema/analyses/y1</toParameterUID>
+ </edge>
+ <edge>
+ <fromExecutableBlockUID>D2[main][1][1.0]</fromExecutableBlockUID>
+ <toParameterUID>/data_schema/analyses/y2</toParameterUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/z2</fromParameterUID>
+ <toExecutableBlockUID>D1[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/z2</fromParameterUID>
+ <toExecutableBlockUID>F1</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/z2</fromParameterUID>
+ <toExecutableBlockUID>D2[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/z1</fromParameterUID>
+ <toExecutableBlockUID>D1[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/geometry/z1</fromParameterUID>
+ <toExecutableBlockUID>D2[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/settings/c</fromParameterUID>
+ <toExecutableBlockUID>D1[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/settings/c</fromParameterUID>
+ <toExecutableBlockUID>D2[main][1][1.0]</toExecutableBlockUID>
+ </edge>
+ <edge>
+ <fromParameterUID>/data_schema/settings/a</fromParameterUID>
+ <toExecutableBlockUID>A</toExecutableBlockUID>
+ </edge>
+ </edges>
+ </dataGraph>
+ </workflow>
+</cmdows>
diff --git a/examples/scripts/sellar_problem/CMDOWS/RCG.xml b/examples/scripts/sellar_problem/CMDOWS/RCG.xml
index d22342934efb1a560326aa915155ab184609c029..ac16894f14143161b1f0fffa6677eebe99894b53 100644
--- a/examples/scripts/sellar_problem/CMDOWS/RCG.xml
+++ b/examples/scripts/sellar_problem/CMDOWS/RCG.xml
@@ -3,14 +3,14 @@
<header>
<creator>Imco van Gent</creator>
<description>RCG CMDOWS file of the well-known Sellar problem</description>
- <timestamp>2017-12-21T14:33:18.069486</timestamp>
+ <timestamp>2018-01-11T18:59:20.064371</timestamp>
<fileVersion>0.1</fileVersion>
<cmdowsVersion>0.7</cmdowsVersion>
<updates>
<update>
<modification>KADMOS export of a repository connectivity graph (RCG).</modification>
<creator>Imco van Gent</creator>
- <timestamp>2017-12-21T14:33:18.069486</timestamp>
+ <timestamp>2018-01-11T18:59:20.064371</timestamp>
<fileVersion>0.1</fileVersion>
<cmdowsVersion>0.7</cmdowsVersion>
</update>
diff --git a/examples/scripts/sellar_problem/KDMS/FPG_CO.kdms b/examples/scripts/sellar_problem/KDMS/FPG_CO.kdms
new file mode 100644
index 0000000000000000000000000000000000000000..d65e59e0eb829a092a8907a13b7a49a55c4919ba
Binary files /dev/null and b/examples/scripts/sellar_problem/KDMS/FPG_CO.kdms differ
diff --git a/examples/scripts/sellar_problem/VISTOMS/VISTOMS.html b/examples/scripts/sellar_problem/VISTOMS/VISTOMS.html
index d8b321e151f9f570bd4713a2158629dafa122ff4..9cef173d7479ab8b7e34b414db49553eb0723697 100644
--- a/examples/scripts/sellar_problem/VISTOMS/VISTOMS.html
+++ b/examples/scripts/sellar_problem/VISTOMS/VISTOMS.html
@@ -1873,7 +1873,7 @@ th, td {
}
//@Imco: Here is the sellar problem example data
- theData = {"graphs": [{"description": "Repository graph of tools where a subset can be used to solve the Sellar problem", "xdsm": {"nodes": [{"metadata": [{"name": "Coordinator"}, {"description": "Action block providing system inputs and collecting outputs."}, {"creator": "Imco van Gent"}], "type": "coordinator", "id": "id_Coordinator", "name": "Coordinator"}, {"metadata": [{"name": "A"}], "type": "rcganalysis", "id": "id_A", "name": "A"}, {"metadata": [{"name": "D1"}], "type": "rcganalysis", "id": "id_D1", "name": "D1"}, {"metadata": [{"name": "D2"}], "type": "rcganalysis", "id": "id_D2", "name": "D2"}, {"metadata": [{"name": "D3"}], "type": "rcganalysis", "id": "id_D3", "name": "D3"}, {"metadata": [{"name": "F1"}], "type": "rcganalysis", "id": "id_F1", "name": "F1"}, {"metadata": [{"name": "F2"}, {"performance_info": {"run_time": 1.5, "precision": 20, "fidelity_level": 2}}, {"general_info": {"description": "dummy function that is not part of the original Sellar problem"}}], "type": 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"x1", "value": "unknown", "dimension": null}, {"level": 2, "type": "variable", "name": "z2", "value": "unknown", "dimension": null}, {"level": 2, "type": "variable", "name": "z1", "value": "unknown", "dimension": null}], "name": "geometry"}, {"level": 1, "type": "variable", "children": [{"level": 2, "type": "variable", "name": "c", "value": "unknown", "dimension": null}, {"level": 2, "type": "variable", "name": "a", "value": "unknown", "dimension": null}], "name": "settings"}]}}, "id": "02", "name": "FPG - CO"}], "categories": [{"name": "schema", "description": "schema"}, {"name": "catschema_nodeLev", "description": "node levels"}, {"name": "catschema_funLev", "description": "function levels"}, {"name": "catschema_roleLev", "description": "role levels"}, {"name": "catschema_sysLev", "description": "system levels"}]}
function loadAllData(data)
{
makeKadmosMenu(data);
diff --git a/examples/scripts/sellar_problem_dev_CO.py b/examples/scripts/sellar_problem_dev_CO.py
new file mode 100644
index 0000000000000000000000000000000000000000..3803b1c34dba5b770a3ea518c478da5c96c7ae1d
--- /dev/null
+++ b/examples/scripts/sellar_problem_dev_CO.py
@@ -0,0 +1,225 @@
+# Imports
+import logging
+
+from collections import OrderedDict
+
+import networkx as nx
+
+from kadmos.graph import RepositoryConnectivityGraph, FundamentalProblemGraph, load
+from kadmos.utilities.general import get_mdao_setup
+
+
+# Settings for logging
+logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.DEBUG)
+
+# Settings for scripting
+mdao_definitions_loop_all = True # Option for looping through all MDAO definitions
+mdao_definition_id = 13 # Option for selecting a MDAO definition (in case mdao_definitions_loop_all=False)
+
+# Settings for saving
+pdf_dir = 'sellar_problem/(X)DSM'
+cmdows_dir = 'sellar_problem/CMDOWS'
+kdms_dir = 'sellar_problem/KDMS'
+vistoms_dir = 'sellar_problem/VISTOMS'
+
+
+print 'Scripting RCG...'
+
+# A new repository connectivity graph is defined to describe the general problem
+rcg = RepositoryConnectivityGraph(name='Sellar problem graph')
+# A description is added to the graph
+rcg.graph['description'] = 'Repository graph of tools where a subset can be used to solve the Sellar problem'
+# All function nodes are defined
+rcg.add_node('A', category='function')
+rcg.add_node('D1', category='function')
+rcg.add_node('D2', category='function')
+rcg.add_node('D3', category='function')
+rcg.add_node('F1', category='function')
+rcg.add_node('F2', category='function')
+rcg.add_node('G1', category='function')
+rcg.add_node('G2', category='function')
+# All variable nodes are defined
+rcg.add_node('/data_schema/settings/a', category='variable', label='a')
+rcg.add_node('/data_schema/settings/c', category='variable', label='c')
+rcg.add_node('/data_schema/analyses/f', category='variable', label='f')
+rcg.add_node('/data_schema/analyses/g1', category='variable', label='g1')
+rcg.add_node('/data_schema/analyses/g2', category='variable', label='g2')
+rcg.add_node('/data_schema/geometry/x1', category='variable', label='x1')
+rcg.add_node('/data_schema/analyses/y1', category='variable', label='y1')
+rcg.add_node('/data_schema/analyses/y2', category='variable', label='y2')
+rcg.add_node('/data_schema/geometry/z1', category='variable', label='z1')
+rcg.add_node('/data_schema/geometry/z2', category='variable', label='z2')
+# The edges between the nodes are defined
+rcg.add_edge('A', '/data_schema/settings/c')
+rcg.add_edge('D1', '/data_schema/analyses/y1')
+rcg.add_edge('D2', '/data_schema/analyses/y2')
+rcg.add_edge('D3', '/data_schema/geometry/x1')
+rcg.add_edge('D3', '/data_schema/geometry/z1')
+rcg.add_edge('D3', '/data_schema/geometry/z2')
+rcg.add_edge('F1', '/data_schema/analyses/f')
+rcg.add_edge('F2', '/data_schema/analyses/f')
+rcg.add_edge('G1', '/data_schema/analyses/g1')
+rcg.add_edge('G2', '/data_schema/analyses/g2')
+rcg.add_edge('/data_schema/settings/a', 'A')
+rcg.add_edge('/data_schema/settings/c', 'D1')
+rcg.add_edge('/data_schema/settings/c', 'D2')
+rcg.add_edge('/data_schema/geometry/x1', 'D1')
+rcg.add_edge('/data_schema/geometry/x1', 'F1')
+rcg.add_edge('/data_schema/geometry/x1', 'F2')
+rcg.add_edge('/data_schema/analyses/y1', 'D2')
+rcg.add_edge('/data_schema/analyses/y1', 'D3')
+rcg.add_edge('/data_schema/analyses/y1', 'F1')
+rcg.add_edge('/data_schema/analyses/y1', 'G1')
+rcg.add_edge('/data_schema/analyses/y2', 'D1')
+rcg.add_edge('/data_schema/analyses/y2', 'D3')
+rcg.add_edge('/data_schema/analyses/y2', 'F1')
+rcg.add_edge('/data_schema/analyses/y2', 'G2')
+rcg.add_edge('/data_schema/geometry/z1', 'D1')
+rcg.add_edge('/data_schema/geometry/z1', 'D2')
+rcg.add_edge('/data_schema/geometry/z1', 'F2')
+rcg.add_edge('/data_schema/geometry/z2', 'D1')
+rcg.add_edge('/data_schema/geometry/z2', 'D2')
+rcg.add_edge('/data_schema/geometry/z2', 'F1')
+rcg.add_edge('/data_schema/geometry/z2', 'F2')
+
+# Add some (optional) equations
+rcg.add_equation_labels(rcg.get_function_nodes())
+rcg.add_equation('A', 'a', 'Python')
+rcg.add_equation('A', 'a', 'LaTeX')
+rcg.add_equation('A', '<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi></math>', 'MathML')
+rcg.add_equation('G1', 'y1/3.16-1', 'Python')
+rcg.add_equation('G1', 'y1/3.16-1', 'LaTeX')
+rcg.add_equation('G1', '<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>y</mi><mn>1</mn><mo>/</mo><mn>3</mn><mo>.</mo><mn>16</mn><mo>-</mo><mn>1</mn></math>', 'MathML')
+rcg.add_equation('G2', '1-y2/24.0', 'Python')
+rcg.add_equation('G2', '1-y2/24.0', 'LaTeX')
+rcg.add_equation('G2', '<math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><mo>-</mo><mi>y</mi><mn>2</mn><mo>/</mo><mn>24</mn><mo>.</mo><mn>0</mn></math>', 'MathML')
+rcg.add_equation('F1', 'x1**2+z2+y1+exp(-y2)', 'Python')
+rcg.add_equation('F1', 'x1^2+z2+y1+e^{-y2}', 'LaTeX')
+rcg.add_equation('F1', '<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>x</mi><msup><mn>1</mn><mn>2</mn></msup><mo>+</mo><mi>z</mi><mn>2</mn><mo>+</mo><mi>y</mi><mn>1</mn><mo>+</mo><msup><mi>e</mi><mrow><mo>-</mo><mi>y</mi><mn>2</mn></mrow></msup></math>', 'MathML')
+# Add some (optional) organization information
+contacts = [{'attrib': {'uID': 'ivangent'}, 'name': 'Imco van Gent', 'email': 'i.vangent@tudelft.nl', 'company': 'TU Delft'},
+ {'attrib': {'uID': 'lmuller'}, 'name': 'Lukas Muller', 'email': 'l.muller@student.tudelft.nl', 'company': 'TU Delft'}]
+architects = [{'contactUID': 'ivangent'}, {'contactUID': 'lmuller'}]
+integrators = [{'contactUID': 'lmuller'}]
+rcg.graph['organization'] = OrderedDict([('contacts', contacts),
+ ('organigram', {'architects': architects,
+ 'integrators': integrators})])
+# Add some (optional) ranges
+rcg.adj['/data_schema/geometry/z1']['D1']['valid_ranges'] = {'limit_range': {'minimum': -5, 'maximum': 5.},
+ 'list_range': [('list_range_item', 7.5), ('list_range_item', 8)]}
+# Add some (optional) metadata
+rcg.node['F2']['general_info'] = {'description': 'dummy function that is not part of the original Sellar problem'}
+rcg.node['F2']['performance_info'] = {'precision': 20,
+ 'fidelity_level': 2,
+ 'run_time': 1.5}
+
+function_order = ['A', 'D1', 'D2', 'D3', 'F1', 'F2', 'G1', 'G2']
+
+# Create a DSM visualization of the RCG
+rcg.create_dsm(file_name='RCG', function_order=function_order, include_system_vars=True, destination_folder=pdf_dir)
+# Create a VISTOMS visualization of the RCG
+rcg.vistoms_create(vistoms_dir, function_order=function_order, compress=False)
+
+# Save the RCG as kdms
+rcg.save('RCG', destination_folder=kdms_dir)
+# Save the RCG as cmdows (and do an integrity check)
+rcg.save('RCG', file_type='cmdows', destination_folder=cmdows_dir,
+ description='RCG CMDOWS file of the well-known Sellar problem',
+ creator='Imco van Gent',
+ version='0.1',
+ pretty_print=True,
+ integrity=True)
+
+print 'Scripting initial FPG...'
+
+# A initial fundamental problem graph is created based on the rcg
+fpg_initial = rcg.deepcopy_as(FundamentalProblemGraph)
+# The dummy function nodes are removed
+fpg_initial.remove_function_nodes('D3', 'F2')
+# A new function order is defined
+function_order = fpg_initial.get_possible_function_order('single-swap')
+
+# On to the wrapping of the MDAO architectures
+# Get iterator (all or single one)
+mdao_definition = 'CO'
+
+print 'Scripting ' + str(mdao_definition) + '...'
+
+# Determine the three main settings: architecture, convergence type and unconverged coupling setting
+mdao_architecture, convergence_type, allow_unconverged_couplings = get_mdao_setup(mdao_definition)
+
+# Reset FPG
+fpg = fpg_initial.deepcopy()
+fpg.graph['name'] = 'FPG - ' + mdao_definition
+fpg.graph['description'] = 'Fundamental problem graph for solving the Sellar problem using the strategy: ' \
+ + mdao_definition + '.'
+
+# Define settings of the problem formulation
+fpg.graph['problem_formulation'] = dict()
+fpg.graph['problem_formulation']['function_order'] = function_order
+fpg.graph['problem_formulation']['mdao_architecture'] = mdao_architecture
+fpg.graph['problem_formulation']['convergence_type'] = convergence_type
+fpg.graph['problem_formulation']['allow_unconverged_couplings'] = allow_unconverged_couplings
+fpg.graph['problem_formulation']['coupled_functions_groups'] = [['D1'],['D2']]
+if mdao_architecture in ['unconverged-DOE', 'converged-DOE']:
+ fpg.graph['problem_formulation']['doe_settings'] = dict()
+ fpg.graph['problem_formulation']['doe_settings']['doe_method'] = 'Custom design table'
+ if fpg.graph['problem_formulation']['doe_settings']['doe_method'] in ['Latin hypercube design',
+ 'Monte Carlo design']:
+ fpg.graph['problem_formulation']['doe_settings']['doe_seed'] = 6
+ fpg.graph['problem_formulation']['doe_settings']['doe_runs'] = 5
+ elif fpg.graph['problem_formulation']['doe_settings']['doe_method'] in ['Full factorial design']:
+ fpg.graph['problem_formulation']['doe_settings']['doe_runs'] = 5
+
+# Depending on the architecture, different additional node attributes have to be specified. This is automated here
+# to allow direct execution of all different options.
+fpg.mark_as_objective('/data_schema/analyses/f')
+fpg.mark_as_constraints(['/data_schema/analyses/g1','/data_schema/analyses/g2'], '>=', 0.0)
+fpg.mark_as_design_variables(['/data_schema/geometry/z1','/data_schema/geometry/z2','/data_schema/geometry/x1'],
+ lower_bounds=[-10,0.0,0.0], upper_bounds=10, nominal_values=0.0)
+
+# Search for problem roles
+fpg.add_function_problem_roles()
+
+# Create a DSM visualization of the FPG
+fpg.create_dsm(file_name='FPG_'+mdao_definition, function_order=function_order, include_system_vars=True,
+ destination_folder=pdf_dir)
+# Create a VISTOMS visualization of the FPG (and add it to the existing directory)
+fpg.vistoms_add(vistoms_dir, function_order=function_order)
+
+# Save the FPG as kdms
+fpg.save('FPG_'+mdao_definition, destination_folder=kdms_dir, graph_check_critical=False) # TODO: add graph check for CO
+# Save the FPG as cmdows (and do an integrity check)
+fpg.save('FPG_'+mdao_definition, file_type='cmdows', destination_folder=cmdows_dir,
+ description='FPG CMDOWS file of the well-known Sellar problem',
+ creator='Imco van Gent',
+ version='0.1',
+ pretty_print=True,
+ integrity=True,
+ graph_check_critical=False) # TODO: add graph check for CO
+
+# Get Mdao graphs
+mdg = fpg.get_mdg(name='mdg Sellar problem')
+mpg = mdg.get_mpg(name='mpg Sellar problem')
+mdg.graph['name'] = 'XDSM - ' + mdao_definition
+mdg.graph['description'] = 'Solution strategy to solve the Sellar problem using the strategy: ' \
+ + str(mdao_architecture) + ('_' + str(convergence_type) if convergence_type else '') + '.'
+
+# Create a DSM visualization of the Mdao
+mdg.create_dsm(file_name='Mdao_'+mdao_definition, include_system_vars=True, destination_folder=pdf_dir, mpg=mpg)
+# Create a VISTOMS visualization of the Mdao (and add it to the existing directory)
+mdg.vistoms_add(vistoms_dir, mpg=mpg)
+
+# Save the Mdao as kdms
+mdg.save('Mdao_'+mdao_definition, destination_folder=kdms_dir, mpg=mpg)
+# Save the Mdao as cmdows (and do an integrity check)
+mdg.save('Mdao_'+mdao_definition, file_type='cmdows', destination_folder=cmdows_dir,
+ mpg=mpg,
+ description='Mdao CMDOWS file of the well-known Sellar problem',
+ creator='Imco van Gent',
+ version='0.1',
+ pretty_print=True,
+ integrity=True,
+ convention=True)
+
+print 'Done!'
diff --git a/kadmos/graph/graph_data.py b/kadmos/graph/graph_data.py
index a79a71a8d3875fa8f977a7cde11ebc9dad0c79c3..19c4c601b7cc8f8209a485d63e2d3d2e2b7bf1fe 100644
--- a/kadmos/graph/graph_data.py
+++ b/kadmos/graph/graph_data.py
@@ -196,7 +196,11 @@ class DataGraph(KadmosGraph):
:return:
"""
# Input assertions
- assert self.has_node(node), 'Node %s is not present in the graph.' % node
+ assert self.has_node(node), 'Node {} is not present in the graph.'.format(node)
+ assert self.in_degree(node) <= 1, \
+ 'Node {} has to have an indegree of zero or one to be allowed as design variable.'.format(node)
+ assert self.out_degree(node) > 0, \
+ 'Node {} has to have an outdegree of at least one to be a design variable.'.format(node)
assert isinstance(lower_bound, (numbers.Number, list, NoneType)), \
'Lower bound should be a number or list of numbers.'
assert isinstance(upper_bound, (numbers.Number, list, NoneType)), \
@@ -2492,6 +2496,77 @@ class FundamentalProblemGraph(DataGraph, KeChainMixin):
return mpg
+ def determine_scope_design_variables(self, des_vars=None, coupled_functions_groups=None):
+ """
+ Method to determine the scope (global, local) of the design variables and to determine to which coupled function
+ groups the design variable belongs.
+
+ :param des_vars: list of design variables (if not given, it is taken from the graph)
+ :type des_vars: list
+ :param coupled_functions_groups: list with list of coupled function groups
+ :type coupled_functions_groups: list
+ :return: list of global design variables, list of local design variables, dictionary with dependencies
+ :rtype: tuple
+ """
+
+ # Start empty lists and dictionary
+ global_des_vars = []
+ local_des_vars = []
+ des_vars_group_idxs = dict()
+
+ # Get and check design variables
+ if des_vars:
+ for des_var in des_vars:
+ assert self.has_node(des_var), 'Design variable {} is not a node in the graph.'.format(des_var)
+ assert 'problem_role' in self.node[des_var], \
+ 'Design variable {} does not have a problem role.'.format(des_var)
+ assert self.node[des_var]['problem_role'] == self.PROBLEM_ROLES_VARS[0], \
+ 'Design variable {} lacks the problem role "{}".'.format(des_var, self.PROBLEM_ROLES_VARS[0])
+ else:
+ des_vars = self.find_all_nodes(category='variable',
+ attr_cond=['problem_role', '==', self.PROBLEM_ROLES_VARS[0]])
+ assert len(des_vars) > 0, 'No design variables found in the graph.'
+
+ # Get and check coupled function groups
+ if not coupled_functions_groups:
+ coupled_functions_groups = self.graph['problem_formulation']['coupled_functions_groups']
+ functions_found = []
+ for coupled_functions_group in coupled_functions_groups:
+ assert isinstance(coupled_functions_group, list), \
+ 'The elements of the coupled_functions_groups should be lists.'
+ for func in coupled_functions_group:
+ assert self.has_node(func), 'Function {} is not a node in the graph.'.format(func)
+ assert 'problem_role' in self.node[func], \
+ 'Function {} does not have a problem role.'.format(func)
+ assert self.node[func]['problem_role'] == self.FUNCTION_ROLES[1], \
+ 'Coupled function {} lacks the problem role "{}".'.format(func, self.FUNCTION_ROLES[1])
+ assert func not in functions_found, \
+ 'Coupled function {} is present multiple times in the coupled_functions_group.'.format(func)
+ functions_found.append(func)
+
+ # Determine the scope of the design variables
+ pre_coupling_functions = self.graph['problem_formulation']['function_ordering']['pre-coupling']
+ for des_var in des_vars:
+ linked_groups = []
+ for idx, coupled_functions_group in enumerate(coupled_functions_groups):
+ subgraph = self.get_subgraph_by_function_nodes(pre_coupling_functions + coupled_functions_group)
+ for func in coupled_functions_group:
+ if subgraph.has_node(des_var):
+ if nx.has_path(subgraph, des_var, func):
+ linked_groups.append(idx)
+ break
+ else:
+ break
+ if len(linked_groups) == 0:
+ raise AssertionError(
+ "Design variable {} could not be associated with a coupled function.".format(des_var))
+ elif len(linked_groups) == 1:
+ local_des_vars.append(des_var)
+ else:
+ global_des_vars.append(des_var)
+ des_vars_group_idxs[des_var] = linked_groups
+ return global_des_vars, local_des_vars, des_vars_group_idxs
+
def get_mdg(self, name='MDG'):
"""
Create the MDAO data graph for a given FPG.
@@ -2621,6 +2696,33 @@ class FundamentalProblemGraph(DataGraph, KeChainMixin):
mdg.connect_doe_block(doe, des_var_nodes, qoi_nodes)
# Connect remaining system inputs and outputs to the coordinator
mdg.connect_coordinator()
+ elif mdao_arch == graph.OPTIONS_ARCHITECTURES[7]: # CO
+ coupled_functions_groups = graph.graph['problem_formulation']['coupled_functions_groups']
+ n_groups = len(coupled_functions_groups)
+ sys_opt = 'System {}'.format(graph.OPTIMIZER_STRING)
+ sub_opts = ['Sub{}-{}'.format(graph.OPTIMIZER_STRING, item[0]+1) for item in enumerate(coupled_functions_groups)]
+ # Determine coupling variables between coupled_function_groups (these become design variables of the system optimizer)
+
+ # Determine objective function based on objective value (assessment before that only one output exists for that function)
+
+ # Get system constraints (contraints that use input from multiple discipline groups and other system functions
+
+ # Get local constraints for each discipline group and other local functions (pre-/post-coupling)
+
+ # Determine local and global design variables (assess that each discipline group is dependent on at least one design variable)
+ global_des_vars, local_des_vars, des_vars_groups = graph.determine_scope_design_variables()
+
+ # Add instances of tools depending on the coupled groups and the role of pre-/post-coupling functions
+
+ # Add the system level optimizer
+ # mdg.connect_optimizer
+
+ # For each discipline group, add the sub-optimizer and the consistency constraint determination
+ # mdg.connect_optimizer
+
+ #
+
+
logger.info('Composed MDG.')
diff --git a/kadmos/graph/graph_kadmos.py b/kadmos/graph/graph_kadmos.py
index a6fc900bafe1c210be2786083ca777065467fcbe..a9bba8d2b85951284362520979f8c3ecb1fc5747 100644
--- a/kadmos/graph/graph_kadmos.py
+++ b/kadmos/graph/graph_kadmos.py
@@ -52,7 +52,8 @@ class KadmosGraph(nx.DiGraph, EquationMixin, VistomsMixin):
'MDF', # 3
'unconverged-OPT', # 4
'unconverged-DOE', # 5
- 'converged-DOE'] # 6
+ 'converged-DOE', # 6
+ 'CO'] # 7
OPTIONS_DOE_METHODS = ['Full factorial design', # 0
'Latin hypercube design', # 1
'Monte Carlo design', # 2
diff --git a/kadmos/utilities/general.py b/kadmos/utilities/general.py
index 13011eff3400945b2feba098a40f583cfd8d5ff2..63dbc9b4fea923dc639736a1f1c349e79f7547a0 100644
--- a/kadmos/utilities/general.py
+++ b/kadmos/utilities/general.py
@@ -140,7 +140,8 @@ def get_mdao_setup(mdao_setup):
'unconverged-DOE-GS', # 12
'unconverged-DOE-J', # 13
'converged-DOE-GS', # 14
- 'converged-DOE-J'] # 15
+ 'converged-DOE-J', # 15
+ 'CO'] # 16
if mdao_setup == mdao_defintions[0]:
mdo_architecture = 'unconverged-MDA'
mda_type = None
@@ -205,6 +206,10 @@ def get_mdao_setup(mdao_setup):
mdo_architecture = 'converged-DOE'
mda_type = 'Jacobi'
allow_unconverged_couplings = False
+ elif mdao_setup == mdao_defintions[16]:
+ mdo_architecture = 'CO'
+ mda_type = None
+ allow_unconverged_couplings = False
else:
raise IOError('Incorrect mdao_setup "%s" specified.' % mdao_setup)