Added regression tests for tutorial

ADRSolver/ADRSolver/completed/ADR_mesh_aligned.fld

+<?xml version="1.0" encoding="utf-8" ?>
+<NEKTAR>
+    <Metadata>
+        <Provenance>
+            <GitBranch>refs/heads/feature/hdf5</GitBranch>
+            <GitSHA1>34b0da287d03a983b0d9ee9cb3c33c6c5d604fff</GitSHA1>
+            <Hostname>Spencers-MacBook-Pro.local</Hostname>
+            <NektarVersion>4.3.0</NektarVersion>
+            <Timestamp>01-Apr-2016 16:21:55</Timestamp>
+        </Provenance>
+        <SessionName0>ADR_mesh_aligned.xml</SessionName0>
+        <SessionName1>ADR_conditions.xml</SessionName1>
+        <Time>1.0000000000000007</Time>
+    </Metadata>
+    <ELEMENTS FIELDS="u" SHAPE="Triangle" BASIS="Modified_A,Modified_B" NUMMODESPERDIR="UNIORDER:5,5" ID="0-61" COMPRESSED="B64Z-LittleEndian" BITSIZE="64">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</ELEMENTS>
+    <ELEMENTS FIELDS="u" SHAPE="Quadrilateral" BASIS="Modified_A,Modified_A" NUMMODESPERDIR="UNIORDER:5,5" ID="62-85" COMPRESSED="B64Z-LittleEndian" BITSIZE="64">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</ELEMENTS>
+</NEKTAR>

ADRSolver/CMakeLists.txt

@@ -6,5 +6,8 @@ ADD_NEKTAR_TUTORIAL(PDF HTML TARGET ADRSolver
 
 # Add tests only if we are building from within the Nektar++ tree
 IF (DEFINED NEKTAR_BUILD_TESTS)
-
+    ADD_NEKTAR_TUTORIAL_TEST(NekMesh      ADRSolver-msh)
+    ADD_NEKTAR_TUTORIAL_TEST(NekMesh      ADRSolver-msh-align)
+    ADD_NEKTAR_TUTORIAL_TEST(FieldConvert ADRSolver-post)
+    ADD_NEKTAR_TUTORIAL_TEST(ADRSolver    ADRSolver-slv)
 ENDIF()

ADRSolver/tests/ADRSolver-msh-align.tst

+<?xml version="1.0" encoding="utf-8" ?>
+<test>
+    <description>ADR Solver, align xml to be periodic</description>
+    <executable>NekMesh</executable>
+    <parameters> -m peralign:surf1=200:surf2=400:dir=x -m jac:list ADR_mesh.xml ADR_mesh_aligned.xml </parameters>
+    <files>
+        <file description="Input File">../ADRSolver/completed/ADR_mesh.xml</file>
+    </files>
+    <metrics>
+        <metric type="regex" id="1">
+            <regex>^Total negative Jacobians: (\d+)</regex>
+            <matches>
+                <match>
+                    <field id="0">0</field>
+                </match>
+            </matches>
+        </metric        >
+    </metrics>          
+</test>                 

ADRSolver/tests/ADRSolver-msh.tst

+<?xml version="1.0" encoding="utf-8" ?>
+<test>
+    <description>ADR Solver, convert gmsh to xml</description>
+    <executable>NekMesh</executable>
+    <parameters> -m jac:list ADR_mesh.msh ADR_mesh.xml</parameters>
+    <files>
+        <file description="Input File">../ADRSolver/completed/ADR_mesh.msh</file>
+    </files>
+    <metrics>
+        <metric type="regex" id="1">
+            <regex>^Total negative Jacobians: (\d+)</regex>
+            <matches>
+                <match>
+                    <field id="0">0</field>
+                </match>
+            </matches>
+        </metric        >
+    </metrics>          
+</test>                 

ADRSolver/tests/ADRSolver-post.tst

+<?xml version="1.0" encoding="utf-8" ?>
+<test>
+    <description>ADR Solver, post process fld </description>
+    <executable>FieldConvert</executable>
+    <parameters> -e ADR_mesh_aligned.xml ADR_conditions.xml ADR_mesh_aligned.fld ADR_mesh_aligned.dat</parameters>
+    <files>
+        <file description="Session File">../ADRSolver/completed/ADR_mesh_aligned.xml</file>
+        <file description="Session File">../ADRSolver/completed/ADR_conditions.xml</file>
+        <file description="Session File">../ADRSolver/completed/ADR_mesh_aligned.fld</file>
+    </files>
+    <metrics>
+        <metric type="L2" id="1">
+            <value variable="x" tolerance="1e-8">1.1547</value>
+            <value variable="y" tolerance="1e-8">1.1547</value>
+            <value variable="u" tolerance="1e-8">0.999236</value>
+        </metric>
+    </metrics>
+</test>

ADRSolver/tests/ADRSolver-slv.tst

+<?xml version="1.0" encoding="utf-8" ?>
+<test>
+    <description>ADR Solver, advection diffusion DG</description>
+    <executable>ADRSolver</executable>
+    <parameters>ADR_mesh_aligned.xml ADR_conditions.xml</parameters>
+    <files>
+        <file description="Session File">../ADRSolver/completed/ADR_mesh_aligned.xml</file>
+        <file description="Session File">../ADRSolver/completed/ADR_conditions.xml</file>
+    </files>
+    <metrics>
+        <metric type="L2" id="1">
+            <value variable="u" tolerance="1e-8">0.00863475</value>
+        </metric>
+        <metric type="Linf" id="2">
+            <value variable="u" tolerance="1e-8">0.0390366</value>
+        </metric>
+    </metrics>
+</test>