diff --git a/ProcessLib/TH2M/Tests.cmake b/ProcessLib/TH2M/Tests.cmake
index f71fe0f127fde1a5b12972c5da407a5ca6ccb300..0bea463bab02ba36d374d38f56ddfcb24236d293 100644
--- a/ProcessLib/TH2M/Tests.cmake
+++ b/ProcessLib/TH2M/Tests.cmake
@@ -9,6 +9,7 @@ if (NOT OGS_USE_MPI)
OgsTest(PROJECTFILE TH2M/THM/Confined_Compression/THM_confined_compression_liquid.prj RUNTIME 55)
OgsTest(PROJECTFILE TH2M/TH/idealGasLaw/compression_gas.prj RUNTIME 1)
OgsTest(PROJECTFILE TH2M/H2M/Liakopoulos/liakopoulos_TH2M.prj RUNTIME 15)
+ OgsTest(PROJECTFILE TH2M/H2M/Liakopoulos/liakopoulos_newton.xml RUNTIME 5)
endif()
# TH2M 1d heat diffusion w/ Dirichlet-BC
diff --git a/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton.xml b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..4b422422b47dc63ce46f03a5f6e24dba4bb3cd80
--- /dev/null
+++ b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="liakopoulos_TH2M.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">liakopoulos_newton</replace>
+ <replace msel="/*/test_definition/vtkdiff/regex/text()">liakopoulos_newton_.*.vtu</replace>
+</OpenGeoSysProjectDiff>
diff --git a/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_0.vtu b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_0.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..26563b4f01a0957d9bf38ced24b0f008dde5c685
--- /dev/null
+++ b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_0.vtu
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45" RangeMax="121" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0" RangeMax="0" offset="284" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.99999858502" RangeMax="0.99999858502" offset="376" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="143295.18921" RangeMax="143295.18921" offset="476" />
+ </FieldData>
+ <Piece NumberOfPoints="202" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="0" RangeMax="0" offset="612" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0" offset="684" />
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="201" offset="764" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="100" RangeMax="100" offset="1280" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="100" RangeMax="100" offset="1360" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0" offset="1440" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="0" RangeMax="0" offset="1520" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1.1759660015" RangeMax="1.1759660015" offset="1604" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="101325" RangeMax="101325" offset="1696" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="101325" RangeMax="101325" offset="1780" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1000" RangeMax="1000" offset="1864" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="101225" RangeMax="101225" offset="1964" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.2975" RangeMax="0.2975" offset="2048" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.99999858502" RangeMax="0.99999858502" offset="2144" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="143295.18921" RangeMax="143295.18921" offset="2244" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="300" RangeMax="300" offset="2388" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="300" RangeMax="300" offset="2472" />
+ <DataArray type="Float64" Name="vapour_pressure" format="appended" RangeMin="0" RangeMax="0" offset="2556" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="9.9625431566e-11" RangeMax="9.9625431578e-11" offset="2628" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="4.4144882872e-06" RangeMax="4.4144882873e-06" offset="5364" />
+ <DataArray type="Float64" Name="xmCG" format="appended" RangeMin="1" RangeMax="1" offset="8024" />
+ <DataArray type="Float64" Name="xmWL" format="appended" RangeMin="1" RangeMax="1" offset="8124" />
+ <DataArray type="Float64" Name="xnCG" format="appended" RangeMin="1" RangeMax="1" offset="8224" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="0" RangeMax="99" offset="8324" />
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.99999858502" RangeMax="0.99999858502" offset="8604" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.0049875621" offset="8680" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="9656" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="10368" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="10676" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _AQAAAAAAAAAAgAAAAAAAAO4AAAAAAAAAbgAAAAAAAAA=eF6FzDEKhEAMheG7pLZZsZqrLBKiGyXgJENmLBaZuzuFjY2W7/3wHSBaeHUqYorJ2kJyp3+G8D1u0fzHDqHvQCkyBMiyRkJJ0J49TuxoC84WkylracBQuzeCyn61B+fz6nDKsj0jQx3rCROkV2E=AQAAAAAAAAAAgAAAAAAAABsAAAAAAAAAIwAAAAAAAAA=eF4z0zPRM9A1NDS11E1Ps0gzSUo1STXXS8ksKqkEAFvyB7E=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAIwAAAAAAAAA=eF7twTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAB4NjIAAAE=AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAAKAAAAAAAAAA=eF4LDAvj+Pv/vX3gKD1Kj9Kj9Cg9So/So/QoPUqP0qM0jWkAc2SJyw==AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAQwAAAAAAAAA=eF7tySERACAAwMBFIzghiIPEchTA/MzEV625R9ffOOecc84555xzzjnnnHPOOeecc84555xzzjnnnHPO+T8/0Zmk+Q==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFQAAAAAAAAA=eF5jYBgFo2AUjIJRMAooBwAGUAABAQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAGgAAAAAAAAA=eF7twTEBAAAAwqD1T20ND6AAAAA+DAygAAE=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAYAEAAAAAAAA=eF4txddCCAAAAMAiIytlr1RSRkb2LE2UIquQnRFJ2TtEZtnKlhFZyd579Vc9uHu5gID/At3CLR3kVm7tNm7rYLdze3dwR3dyiDs71GHu4q7u5u7u4Z7u5d7u477u53D3d4QjHeUBjvZAxzjWgzzYQzzUcR7m4R7hkY73KI/2GI/1OI/3BE/0JE/2FE91ghM9zUlOdopTneZ0T/cMz3SGMz3LWc72bM9xjud6nud7gRc613le5MVe4nwv9TIv9wqv9CqvdoHXeK3Xeb0LvcEbXeRNLvZml7jUW7zV27zdO7zTu7zbe7zX+7zfB1zmgz7kwy73ER91hY/5uE/4pE/5tCtd5TM+63M+7wu+6Eu+7GrX+Iqv+pqv+4Zv+pZvu9Z3fNf3fN91fuCHrvcjP/YTP/UzN/i5G/3CL/3Kr/3Gb/3O7/3BH/3Jn/3FX/3N3/3DP/3Lv/3Hf/3PTW4GwEFPTg==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAGwAAAAAAAAA=eF5jYACBSAeGUXqUHqVH6VF6lKaABgADsHi7AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAGwAAAAAAAAA=eF5jYACBSAeGUXqUHqVH6VF6lKaABgADsHi7AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAGgAAAAAAAAA=eF7twTEBAAAAwqD1T20ND6AAAAA+DAygAAE=AQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAAHQAAAAAAAAA=eF7twTEBAAAAwqD1T+1rCKAAAAAAAAB4AxlAAAE=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAJAAAAAAAAAA=eF5bmXt958ELn+xXQukVo/QoPUqP0qP0KE0EvRyNBgB0G0ODAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHgAAAAAAAAA=eF5jYGBguLDnhwPDKD1Kj9Kj9Cg9SlNAAwD8eC7HAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHgAAAAAAAAA=eF5jYGBguLDnhwPDKD1Kj9Kj9Cg9SlNAAwD8eC7HAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKgAAAAAAAAA=eF5jZAACh34HRijNAKX/g4D9KH+UP8of5Y/yR/nY+f+g9F8oDQBldsyWAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHgAAAAAAAAA=eF5jYGBgmLDthwPDKD1Kj9Kj9Cg9SlNAAwChovd8AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAJQAAAAAAAAA=eF7jur64wJbrsj0PlOYapUfpUXqUHqVHaSJoTijNAaUBjpKa4A==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKAAAAAAAAAA=eF4LDgvj+Pv/vX0wlA6C0gGj/FH+KH+UP8of5ePhw2g/KA0AjeVNRA==AQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAASgAAAAAAAAA=eF7tybENgDAUQ0GTyRicHWAcKj4UiYTS0VGcmyf5WpJjO9fWm2lL/0dnz+vnnHPOOeecc84555xzzjn/g19VtT//6Fe/AScibXs=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFQAAAAAAAAA=eF5jYBgFo2AUjIJRMAooBwAGUAABAQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAA4QcAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAqgcAAAAAAAA=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eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAACADAAAAAAAArwAAAAAAAAA=eF4txdciAgAAAMCQWSFbJCuzsjNDiuyMyo7y///gwd3LBQL/WtzqNgfd7g53usvd7nHIYUfc6z73O+oBD3rIwx7xqMc87pgnPOm4p5zwtGc86znPO+kFL3rJy17xqlNOO+M1r3vDm97ytnec9a73vO8DH/rIOR/7xKfO+8wFF33uC5d86Stf+8a3vvO9y37wo5/87IqrrvnFr37zuz/86S/X/e0fN9z0r/8AXBwTVw==AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAGAAAAAAAAAA=eF4LDAvj+Pv/vX3gKD1Kj9IYNACao6JsAQAAAAAAAAAAgAAAAAAAAPASAAAAAAAAuQIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAA8wEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAxgAAAAAAAAA=eF4txRF0QgEAAMB6LwiCIAiCIAiCIPgQBEEQBEEQBEEQBEEQBEEQBINBEARBEARBMBgEQRAMBoNBEARBEATdyUVCb1HHHHfCSaecdsZZ55x3wYGLLrnsiquuue6Gm2657Y677rnvgYceeeyJp575w5+ee+GlV15746133vvL3z746JPP/vGv//zvi6+++e6Hnw6F30UcdcxxJ5x0ymlnnHXOeRccuOiSy6646prrbrjpltvuuOue+x546JHHnnjqmV/7BioOAQAAAAAAAAAAgAAAAAAAAGQAAAAAAAAADAAAAAAAAAA=eF7j5KQ9AACx7gOF
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_120.vtu b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_120.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..e5282c70bb02b1e7ba2cd2d2f50fec09bd81d88c
--- /dev/null
+++ b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_120.vtu
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45" RangeMax="121" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="8.1902212357e-06" RangeMax="0.0059836609013" offset="284" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.99999919714" RangeMax="1" offset="6252" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="124211.34439" RangeMax="143990.28522" offset="6368" />
+ </FieldData>
+ <Piece NumberOfPoints="202" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-5.3610054308e-13" RangeMax="7.1032509996e-13" offset="15448" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="16288" />
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="201" offset="16716" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="-3133.7705692" RangeMax="100" offset="17232" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="-3133.7705692" RangeMax="100" offset="18768" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0.0022492623615" offset="20304" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="6.6135867871e-06" RangeMax="0.0059836609013" offset="21736" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1.175965868" RangeMax="1.1759660015" offset="25540" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="101324.9885" RangeMax="101325" offset="26488" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="101324.9885" RangeMax="101325" offset="27452" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1000" RangeMax="1000" offset="28416" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="101225" RangeMax="104458.76511" offset="28516" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.2975" RangeMax="0.2975" offset="29888" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.99999891684" RangeMax="1.0000001216" offset="29984" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="124211.34439" RangeMax="143990.28522" offset="30100" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="300" RangeMax="300" offset="36368" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="300" RangeMax="300" offset="36452" />
+ <DataArray type="Float64" Name="vapour_pressure" format="appended" RangeMin="0" RangeMax="0" offset="36536" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="9.6750205095e-11" RangeMax="9.9654471043e-11" offset="36608" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="3.7794780071e-08" RangeMax="8.8467739158e-06" offset="39952" />
+ <DataArray type="Float64" Name="xmCG" format="appended" RangeMin="1" RangeMax="1" offset="43636" />
+ <DataArray type="Float64" Name="xmWL" format="appended" RangeMin="1" RangeMax="1" offset="43736" />
+ <DataArray type="Float64" Name="xnCG" format="appended" RangeMin="1" RangeMax="1" offset="43836" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="0" RangeMax="99" offset="43936" />
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.99999958004" RangeMax="1" offset="44216" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.0049875621" offset="44296" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="45272" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="45984" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="46292" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _AQAAAAAAAAAAgAAAAAAAAO4AAAAAAAAAbgAAAAAAAAA=eF6FzDEKhEAMheG7pLZZsZqrLBKiGyXgJENmLBaZuzuFjY2W7/3wHSBaeHUqYorJ2kJyp3+G8D1u0fzHDqHvQCkyBMiyRkJJ0J49TuxoC84WkylracBQuzeCyn61B+fz6nDKsj0jQx3rCROkV2E=AQAAAAAAAAAAgAAAAAAAABsAAAAAAAAAIwAAAAAAAAA=eF4z0zPRM9A1NDS11E1Ps0gzSUo1STXXS8ksKqkEAFvyB7E=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAWhEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAANQAAAAAAAAA=eF6T2PA94N//9/af10i++Q+kJdD4DGDwYZQepUfpUXqUHqVH6VF6lB6lR+lRmmIaAHIR6tg=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAeRoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAIAEAAAAAAAA=eF69ljEKwlAQRFPGG8TCO1gIFgZsPYkeQ49jGcFOxBxBrFIGqxzBgIUaMNH54GNQTDesu39mZ35MPRxsN2l8iJrnsrw2OGlxFGX1Ynbad3h9x+cX/Hjy3Ts+Ci4mUhccrT7jXPthfilY+ZXKF/jo/OrH87VO/PX3tP9gf9oPdZ1XAR93Py5/nY/5gfmBXpM/nf/tfNUf5MOcr/qJP90/0luAPjv/P+5XfYEe0x+8X9oP+yT/iS/pJ/9In/YH/prnUX4pr8Sf/KP55A+d7+aP9AX3QTHkx86H1PX/kd6/pM/dL+XP7cd9g7+ufjcfLn/y152H/E1//r1f0mO/X8E/2gdhVx+dR98v7v7d7/uuPur35lkaT5943OCkxTcY+QeQAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAYAEAAAAAAAA=eF4txddCCAAAAMAiIytlr1RSRkb2LE2UIquQnRFJ2TtEZtnKlhFZyd579Vc9uHu5gID/At3CLR3kVm7tNm7rYLdze3dwR3dyiDs71GHu4q7u5u7u4Z7u5d7u477u53D3d4QjHeUBjvZAxzjWgzzYQzzUcR7m4R7hkY73KI/2GI/1OI/3BE/0JE/2FE91ghM9zUlOdopTneZ0T/cMz3SGMz3LWc72bM9xjud6nud7gRc613le5MVe4nwv9TIv9wqv9CqvdoHXeK3Xeb0LvcEbXeRNLvZml7jUW7zV27zdO7zTu7zbe7zX+7zfB1zmgz7kwy73ER91hY/5uE/4pE/5tCtd5TM+63M+7wu+6Eu+7GrX+Iqv+pqv+4Zv+pZvu9Z3fNf3fN91fuCHrvcjP/YTP/UzN/i5G/3CL/3Kr/3Gb/3O7/3BH/3Jn/3FX/3N3/3DP/3Lv/3Hf/3PTW4GwEFPTg==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAXQQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAXQQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAEQQAAAAAAAA=eF6N0X00FXYYB3DcaidsXMW835E7i+FIkVVOoyhv81Ly7jJWmJbMS9a8FHJZF3nPUdELko3ZOGdTcffCvGwxsm4zy3Rr2q6iJsfU/tl+z/U9xzl7/vuc85znPOf7VVD4f7P/otIW4zC16/85GGzTMS2x5PGYdcDn49bx4k1NmfPBxf1D/JCzlswpYOtnpgqtCxuYzcBSr5XF/eW2zJPgnhuyDI7JG8zfgV/KvpUYfm4bszq4pd2xJyVnO/PnYHGurtWvGx2ZvwYPcmVTcbedmEfAksTIhvWpO5nvgHUU3unW47owm4C13R95eJzbxWwKHpW1yrpNXSkv8PtK0QpldW7MmeB0XYUPxDwP6g98eHfBrH+hJ3MSePiZRkXU/FvMQ+BD3umlqU1ezHHglcle6XmB3syK4FVCq5TfOT7MK8AvTk+2nGkgq4EbVHvOtLj5Ml8GW3382vT6KbIFODPsskgtew/lBdYPKq6J0d9LfYI/Eqsfc2om54G/GYq/Wrvdb1lXfBvELRogl4M1tJ8eeHnfPmYt8JPvDSUOY+QF8ER2Wq26wJ/5Llij7yuTsnGyFliU2nX3p6CAZe1SXyWcGCbvAj+p++tGh2sg8wxY1GZeFn+VLAQ/v5bVq2wRxDwHHq/LSDhVSb4J/iPfqF6DE8w8CZZYO4tKo8kj4BxldX/+ADkDzJf5vdlvEcJsCK4Um58sySeXgLP5scdzpeRjYAE//OCnDqHLum9FeoV+CXkAvHN2neuglOwM1iw70i2xDWPmglvNozydssiN4EqOaK3mD+QC8I/zHcZNKgL6D7xgLcgQWZIfg8Vbza7YeJE7wKOxCXU1h8iDYJ9mq9ixArI7+PAlu3sPmsixYN1H1YpDveQ14E8UuWUlUnIdeG/47sTNiuHMnuBAYVakWJe8B+zjrWpgZ0N2A3840+tW5UpOAkdVPiicFZCDwZLkE+k7ksiD4FinsOpTeWQBWHVVTcRENVkJrGj0hf3mZvLcK0ttH7wpvaKLbAlePXoh84Uh8vObSy1rKM8U3iFLwTOcqhbjh+Qp8GdCZ9vRRXIjOKbd99VG5QjmMPBqTmderRZ5UWmphcnzoV1G5DRwTJpmkcrr5BDw37lcpexN5GnwEReDHGsH8kFws7Zscq0z+QL4cYCeZIMH+R54x9bjmgW+ZDuwuLN9i0UAuR1sdjRBqh5K5oHPX9O8uC2CXAle8yV/sS1KLm+wgcvPMRkHyJpgfl9reHUMWR/8y9yiO/dd8jC4aCStcFzOJ8BXrqsKVeLIteCnYxtPVsjtT4PbGn/7Uxgrdw/cq8edm4gmd4I97r/38NJ+siN45jTP8FYk+T7Y/rag62g42Qp8WuSmUxoilwe43i/nbb5c32f/9T8l1R8BAQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAABAsAAAAAAAA=eF511nk81FsbAPBJkuwkW5K9brmyZAllLGlMDNkqMdZk38dISN0oikRlCZWm2y5vi8ZQVCq0C6lsSbYkri5SV+8f79vz+P0+nzv/nc/385xznuec5/yGQvnfz0RS4Y7T3via/w8p8QX32TeMLlT9GuuR3JDkQhuFT3g4otsNmdG6GUvMfo3H6UTvW6s2FZ2yGPymU6EPe5gNnu3zbVH62XXguSQf1Lt+IOocFbxIWmyUcwBdSbrYRjvVHjyN5Cw9/pWiRQxwwZMtJ0fU0au4Lhnzhx3BFUju4dvmL/UFfeXazbWed+PAS4SzuCcCLMDtSO59yVhOdNIa53cKy/nuiU7N0OAd4imAa5M8xXLC5HyxOvhctdfWL6dZ4Hn/rMq0SVCr/jVeQHJv+UbphDl84OevVoz256HfWW0c4M5BryY5n7pfwLJTuuDDMkrHaQboHXZPbqRQrcC/k1xbcMeC87EW4LTxMrkfTbHgtqJj1yftdf7Vp9eMUHYl/g7etIBhJhyFbiN+MC/Qlg7OJ0R0p0a+LyOOluAmRz6fThZHH7x1daA/0wE8luSJz+87mMw4gfObRtYxy2LA39YL9C9heoCrk1yEZskaDPQEV5A+9/d1e3SFsKeu7GFfcAbJU+YUnuOrRH+kH7ot7XM0eK6AAO3loB/4DZJ7u2s7rV2P/kyifbgjE13qnETK/Eov8IckF7OpP3xC1xu80fRqxD1t9FoR/ws9wUzwOJIzjlQxa1a5g69cWMEyfRGF98NSgdfeag1eJkX0vowYA3aXCfjoCNvdMRq9siGwaJmIKvRHKckpYqGP2FvwfRKSnaQKLkK3LrOZ48q3CfydDNEn0pY/MqzG/m+qKJQM5kaCu6TGbKLYYvxbkt/s2J0rpeQC7txuHp/ogT4slW+8uscG/CLJL1jN8/hghO9HWFh0z/o56Clcq5pboeuhPidJrpJXJnI4xBh89cXi7/n2EeAfyrJqbRoo4Kok3zX3bzd1X4wXklUI0yoMB3fouJ1UMoH7a5ch+p41h3boTW4EN/gQHLppIAy8xPvZotZwO3BRkvfeK5AUVTEFn3f5Z52UMfoNKYeW8Xh8/0cvEd1M3J+THIJ++GolNyE9FHykOtkhdr8Bnj/JK1aN93zrsAR32O48k9MeAi5hdqv32YwOOD/JKSP7t/Zv04T6ba1TrPXXRa8T/C6vPzEG39d2kusKbZE+q4Xr//VC+MTU/mBw6We9gXP43GD+5y+JTpt8Gtkv7gwuXalc4tYdBD63SrlramAbOJ3kh4Q5KxSGsL+5JYr0NBN0K5pZTFaBK3g3yY+ffuy+Xo4KXt6bfiTreCDe31TbpcUuduBaJBcpOsP/O8cR3L9Q+g3r6w7wGdaRI31U/D58LSB6zNFRvYByKZw/QnfKwgW9ZCHj05PXalDf6nCiP3VRumIvJAHxptslTaZuBoAvX5PhdbgN3wdPf6K79PY9jp92APeidjOL5dHlor10z4hvARcxJ/rE+YV1I7ke4P7ZG4sNdm8HL0sNZFfo7gCPJ3l3b/RcbqQfeC+fI6euzx+coffjZ42bD3jgXKI3Sw/km74JAO/eSS+2d0TXVc5PecjZDs4luXq+K2+5AMa/96Brv6ryAxdTZKlnyGJ+gp5EPzamHpwegfXd6FeauPk3dA+7j6d3qHuCS5N8qY5K/O1ub/AX326sas/3Bd+T7uixd1b+itNEl0xr67K6gb4v8FuMrxA6S+/4tMIid/BIkqfmLm7xz2Rifc8azgwl+YA/NGrO5vy2Afw1ycUuyyd/N8LvR9zTUbG4cW/w7OX3hbNKp+D92PGM6GFPGTT+1aZwf7MXC8TNDUFXXW0f8/WCPvh1kksd2rOw6LwteJr3qJZGgxe41rFq45r32N/GXkTXX1oueueLOXjFvNvN1rVM8O1XvkxrKuH3M2Mu0bOpi0ZEy/D/e4nfP6J+VZ7gncs/ymRew/stQfInm626aALoFaLilok8D3Da4J1bN9VCwEeFif4jairnYmwwxr9sVTl0ext4Q/l43t8CoeBRJC9N9s4aC0GnapSVZda5g2d03B3RbYsANyc5V2T7eVmrKPCEgr1Wu55vBfe9c5HPuxb397CQ6MpbQjobUzC/C2oqJYzOLeDVb8e4XDdcv02d6M7iBvmRjEjwiI9/DlDGNoNb6r4JTK7H/Jo+EL3COHd/mhjGlzMk72fMR+eoXgt6OYr+0p7o5dd6hAf7Mf9lnH67XhU38FHFMxt6XqBHnSG6odSnjgEH9KnWSe15VFdwvej795pSWOD/IbliUZCO0F+zfEb5bK+PC3iKfgNb8z3Wb5LkrcrN5iv34fredzQO7NzvDL4vnf2ogYPxATVEL1T+GOXqFgTuKLlnM6/cCdx1SWhTShDWj0Ly4ON19RqF6FuWGVsVd2wCN6aVHJd4jusPaBK97zG/vuCLGPBwOY6BnBh6YVSU6kp9NniOLNFrsuyYaq+xfuLB2h3Klo7g60aY3+XXxoHXBxF92Dkn2C4W5++QmQzZOs4AX0oPr7m6JhFcdRHRI1+VXNt/OwH87pJ/NH2D7ME10ulysQE4f7Yi0fflacmVFsSDjzh9cLbp2wi+Zc/0QQUfdB+Sq04Nb93vvBP7x4i5ajSIDl7a7Hnq7nASONWQ6MGnxl9V7sX9S1Q8abf9SgOvvS66tmsc11fiEt278GOi1XyMp8o6x69N3YD9c8DRX2wb3k8JGaLX/HH/R7ceuk5TyfKbijbg18ylQ5e24vk6viT616sTE++HosFH9e10TvCssf/K3V5Xn8Z4X5I76vbIWTRifiWNfTNvmFbgIner3PUWY35H6ol+N9aJmdGEXiqbbOGxwBLr96A5QqI9GZwpT3RZ1ulLnJt4PlJ+9X+J8KjgDGayjMCKXbg/kmf6SY2G+uH8XRYnWsrerwNfMO78TVF9N3gdleh7V6TytrJSsL9XrGhnbDMDH0rWlmmc+nevcGVaczNn+cFT8U3da8AVuJsTtD2wPj8ziP6g892VDcWYX0H3D7OF0UZY//qPgw0s3P+DDqLX3XwyHh6E9evMmz/4ScwA+1dDXiBJGvdXl0v03WfDDmhWo1uXeu8zvqUHPuX+3t3nKNa36izRezS9+q0tMb60zY/dGqwDrmjCGCsJwPfD8y3R67hv82ouYf9SvCrX2zprgXPcijp/cNCr/Igu0Dv0Lf0M5p+Rx/9ZoH8Znm+XIC9ID+tfVUD0FcljcX5H8f4fSAoWuZitBs6fbdMcPzlr/d1E971cujr2DL5vlPBe9teTSuBPeOZulyViwePYRC+yygyXaEX/XJHtlGorA27HKykdGMD5pS4QPcdsyXTAC+zvETrfEM1UBHz6wIbr5l9nxa8lemISg1P0APOnKP8R1RExdefXcPhEEWNQBe9nhSnRe995PU9OwPU7Gdxe2u13636Nazr76HYMrF8+7RbB6R84Zfz3cH7KoZ17Fjbzmf8afops1TGQwO/XSBrRedltFZ1X0DMKk7yGRiTAu3IfZ6kk4PrsK0Q/Tq9VyTLC/NMZqQvL6XLgzwY8vqudwvrFuRI9+GIay0sQ55dev/3jwaSl4MuUjspwHPF+UqhE73FJ1zpdgf1R3SEo/spKDXxXS7bBkOGs8+kium+yz6mqY7h+3LE/ZQ7f0ARX0XM1mmmeFZ9DdIv68ydbdmN+1pad9HmSK8BbeIYtZ61nxW8gupAFn6H+NHran8USOryVeD4/flsv3onnw7pC9FiNwxO7K1lm/wXNnRJAAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAApAIAAAAAAAA=eF5V1VtIE2Ach+FhamtRouUqMjNLjbkO4iEqa9NCqSQsJZeWpyQr1FYitMhDImaaQkipy7ObbnPaPJeKIaaZUcjI0liCRDJKtMYwjZD4/vtduKvn+r161amfXw6Om0QquGnG5ilzC2wsjCNVcK9fP7kPVn/dWsash9wHGaQ9jD+oJxOhdmp/OVMHf+YWkfPQRWgkd8CgiZMVTBGMyqojI2Cc1woZDaPGo+XMSBgs6yHF0NV98zPmTrgwJiXnYGf6e1IDr7kIKpmxcONwPmkLFanfSDkU8MVVTC/YMFBJ1kPH5GXSCd5yuFDNvA2HetrJYWgX71DD5MEj3BQyCCbqRsmr8J7Eo5aZDQs4ueQjmK+aJgthRvjROqYMRi6VkZegd62ZFEJz6Ln61aoXWkgNDC/jNTAlcO54MmmCstkhMgcuF7spmJwSizf8M0kp/GCYIiegZ16AkimAad6lpBRq9QukCn6RhTUyP0Kzm9pK7qhdE9MW8m4mknaQw39F/nW2aOzfrmJOw6Erd8he+Jg3QRbAyDYfNTME2ktKyMUoi6qVH6QcipShGqYfHDmjIAeg2MRpZgZCTfllK9eLeq1M+M7XMmOhoiidVMJJn3HSAG0mhS3MNXBX1kPSFR7YM0t6QuFYcCtTAN2kNeQ2aMP/R644W/zUJ3m+2tqELrIGXlzrpGPGQPuWNJILFeffkRoYsOTVxgyEfVV55AD0PzFD+sIq47F2ZgVcLJaTZhjs+8fKnMmIDuZ92JqpIzuh3n1DJ/VA45vrVv5OGSF/wXnH3V3MWWjozib1sD/GQLbBAs7hbmYeDFM+IUOg7WkTuXTKomr+bA+zAYpKm8lAOHqI+4L5GgYbkkgx1OYMkh1wnYcrfYEPE97eJZNgI77RBP8DlhXZPg==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAsQIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAsQIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKgAAAAAAAAA=eF5jZAACh34HRijNAKX/g4D9KH+UP8of5Y/yR/nY+f+g9F8oDQBldsyWAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA5AMAAAAAAAA=eF5F1X1MlXUUB/BrJkRB4EQQlJdekMBIkMGIuHQSVDCvl0QQGb7Fi5HthiDvIKgVoFxQQFSiSbQEAkUXdIUgTMDiNl4MBZIrISQJDtnI5nMgsN/Gd/Ovz57t2W/POd9zfo9MJpOd/EEiGQwafmlS0ySREupMvvMfui7RLehz/2bWog6J3oEHXDotbLsl2g3vRmjiPG5L1AOvXDEz9B+UqBzqH4oLC7gn0UzcgstUk/e2/C3REqhWdVnJJyU6Ar+esSi2+UeiAjhdbNE3LUk0DIuU91X18xJlwHdfffAk8nmmNVA9vcd48YtMybC4biD0hDHTcbgpozxrzpRpPazzWv9+iCWTBobX6cJLbJii4fjlL89ef51pAs7pGzV2OzA9gTu3pZZfe4tpA1y3mtyLXJmWQ91F4wh/D6Z22JEst/vTi+kq9I2bSd/+HpM77B48kV65gelnWL851fuOP1MFzC1rGXugYIqH9o+GKno/YDKFZ7YZtJwLYjoKuwfejPfcydQAa8Kfs6kPYzoNW39cZmWwl6kWXutvHHQLF8+wNM2y1zOKKQte2mGSZR7N9A1c3GCb9dsBJr66YJt5mCpYJfoJV+R7j2pimPRh7Wc5Z6Zixbnw7EVzv7lDTIdhTWV103CCyA3e+ajhl3NJTFq4tdpx4xspTN6wW2Ntk5vK1AyTqr/1aU9jioKG+YmXetNFbnkLHk2tCNccFu9BP5PAmJgMMRdwV8bWiXlhCCyJ65z6MJOpEK4xM6goFdrDnMRReY3wC7i/LHv8lDASpuUZjSmECdB3r1HCsDiX4P5p3xF/YSS8vdYp+bj4rn74dlBRXnn6M09GuacWiLpOwV7ToNJQUXc/rFUqA2eTRU7wabPHknjRt1n4WvBBy19FX+3hQYV8/rHoeyKcL9xl/Z/IRVa0YIdJ1cRdkZsW6vVcuFUicpVBv0AHpesnTHI46vKws0LMhQ4WuDm1S2Ju1DDTKrhqdYToP9zsXPTIZZ/YH6hqzXxh5W6mT2GVrj16JFTMP1xhcuNY9g4mY6hs2njDaDuTD4xuXXU+NkDkCKuHBpM1W5jOw5zK7BadH1MKdEpU9I34MtnBINt1r2iJSQEtm/ueFog9fRl+dcylSy72OB/GaJV/acWeR8AkP8tiz7VMsfDz8lWuakdRN6wKDtBrtXumuenDIJ0tkxXkXOfwP1aKfVEvqO7a9HGjGVMZbHM0Lc9YytQDFc1LvRwMRb0w5bRbhEaPKRsG5t4kx0VMYTCkK3X6yKxEe+D31jOFP/0r7m3YNuDsOTwlUSPcV7f88di4+E/AJuUF7e+jEl2G/wMArkViAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAJQAAAAAAAAA=eF7jur64wJbrsj0PlOYapUfpUXqUHqVHaSJoTijNAaUBjpKa4A==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAANgAAAAAAAAA=eF470lK96+//9/bHoLRQ2VIFBoYPcPo/GLy3ZwCDUf4of5Q/yh/lj/Ih/H9Q/l8oDQDE5VARAQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAAOxIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFQAAAAAAAAA=eF5jYBgFo2AUjIJRMAooBwAGUAABAQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAqQkAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAqAoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAACADAAAAAAAArwAAAAAAAAA=eF4txdciAgAAAMCQWSFbJCuzsjNDiuyMyo7y///gwd3LBQL/WtzqNgfd7g53usvd7nHIYUfc6z73O+oBD3rIwx7xqMc87pgnPOm4p5zwtGc86znPO+kFL3rJy17xqlNOO+M1r3vDm97ytnec9a73vO8DH/rIOR/7xKfO+8wFF33uC5d86Stf+8a3vvO9y37wo5/87IqrrvnFr37zuz/86S/X/e0fN9z0r/8AXBwTVw==AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAGwAAAAAAAAA=eF5rW9ch9///e3sGMPgwSo/SozQSDQDt0Ho0AQAAAAAAAAAAgAAAAAAAAPASAAAAAAAAuQIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAA8wEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAxgAAAAAAAAA=eF4txRF0QgEAAMB6LwiCIAiCIAiCIPgQBEEQBEEQBEEQBEEQBEEQBINBEARBEARBMBgEQRAMBoNBEARBEATdyUVCb1HHHHfCSaecdsZZ55x3wYGLLrnsiquuue6Gm2657Y677rnvgYceeeyJp575w5+ee+GlV15746133vvL3z746JPP/vGv//zvi6+++e6Hnw6F30UcdcxxJ5x0ymlnnHXOeRccuOiSy6646prrbrjpltvuuOue+x546JHHnnjqmV/7BioOAQAAAAAAAAAAgAAAAAAAAGQAAAAAAAAADAAAAAAAAAA=eF7j5KQ9AACx7gOF
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_300.vtu b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_300.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..0c175549de4b5cfc5bbff6af2d979ba84c90fc22
--- /dev/null
+++ b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_300.vtu
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45" RangeMax="121" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0.0011446138092" RangeMax="0.0060001146443" offset="284" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.99468151718" RangeMax="1" offset="6188" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="124160.65169" RangeMax="139555.6412" offset="6708" />
+ </FieldData>
+ <Piece NumberOfPoints="202" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-6.5543762215e-13" RangeMax="2.4073371174e-09" offset="15780" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="17084" />
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="201" offset="17824" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="-770.31277768" RangeMax="3164.7522143" offset="18340" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="-770.31277768" RangeMax="3164.7522143" offset="19916" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0.0032718602805" offset="21492" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="0.0011446138092" RangeMax="0.0060001146443" offset="22924" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1.153553916" RangeMax="1.1759660015" offset="26656" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="99393.902877" RangeMax="101325" offset="28016" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="99393.902877" RangeMax="101325" offset="29360" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1000" RangeMax="1000" offset="30704" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="98160.247786" RangeMax="101316.71738" offset="30804" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.2975" RangeMax="0.2975" offset="32120" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.99393367221" RangeMax="1.0000000199" offset="32216" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="124160.65169" RangeMax="139555.6412" offset="32568" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="300" RangeMax="300" offset="38828" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="300" RangeMax="300" offset="38912" />
+ <DataArray type="Float64" Name="vapour_pressure" format="appended" RangeMin="0" RangeMax="0" offset="38996" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="4.4196402109e-10" RangeMax="2.0884728005e-07" offset="39068" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="1.1573875802e-07" RangeMax="4.6979120194e-06" offset="42756" />
+ <DataArray type="Float64" Name="xmCG" format="appended" RangeMin="1" RangeMax="1" offset="46436" />
+ <DataArray type="Float64" Name="xmWL" format="appended" RangeMin="1" RangeMax="1" offset="46536" />
+ <DataArray type="Float64" Name="xnCG" format="appended" RangeMin="1" RangeMax="1" offset="46636" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="0" RangeMax="99" offset="46736" />
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.99570309241" RangeMax="1" offset="47016" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.0049875621" offset="47292" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="48268" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="48980" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="49288" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _AQAAAAAAAAAAgAAAAAAAAO4AAAAAAAAAbgAAAAAAAAA=eF6FzDEKhEAMheG7pLZZsZqrLBKiGyXgJENmLBaZuzuFjY2W7/3wHSBaeHUqYorJ2kJyp3+G8D1u0fzHDqHvQCkyBMiyRkJJ0J49TuxoC84WkylracBQuzeCyn61B+fz6nDKsj0jQx3rCROkV2E=AQAAAAAAAAAAgAAAAAAAABsAAAAAAAAAIwAAAAAAAAA=eF4z0zPRM9A1NDS11E1Ps0gzSUo1STXXS8ksKqkEAFvyB7E=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAKhEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAAZAEAAAAAAAA=eF5b9L2m4O//9/b26qEJ/4D0IjQ+b8/0FyB6UsXKwv9Y+F9nN2wF0TWPHr3Gxvc0WvEHRDOAwQcM/ig9So/So/QoPUqP0qP0KD28aPdpouD2nnTRv20gGp3/r+CuKYh2Wqjy4y8S3xnKj2MNnPQHSH/Z8PreTyx8Ve5os+9A+vfUhw2fsPH/Oyi8A9IaH3LWPcPCV3xy4PN9IF078+7eK1j4Z19u33cKSM+7tdNhFxb+6vWL564G0nM9mjsmY+HfNbstXwekM+9NOBeFhe9ybaaBNZBuaShbxoaFrz5FnOv6v/f2xi76v9r+YfJtfNfL2QLpLEavs/v+vre3ReN3sOtGuwNpb+WvvmV/MPlfZ+8/t/L3e3vJR7smWfzC5F9QDr2198d7+6mfzUW/fEXwp0H5PZt/aTz+9N6+8evm5r1v3tv3QvlNUD6nX4ii9tP39js3u4fmXXlvzwXl74LyAVlJEqc=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAchoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAsQMAAAAAAAA=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eF4txddCCAAAAMAiIytlr1RSRkb2LE2UIquQnRFJ2TtEZtnKlhFZyd579Vc9uHu5gID/At3CLR3kVm7tNm7rYLdze3dwR3dyiDs71GHu4q7u5u7u4Z7u5d7u477u53D3d4QjHeUBjvZAxzjWgzzYQzzUcR7m4R7hkY73KI/2GI/1OI/3BE/0JE/2FE91ghM9zUlOdopTneZ0T/cMz3SGMz3LWc72bM9xjud6nud7gRc613le5MVe4nwv9TIv9wqv9CqvdoHXeK3Xeb0LvcEbXeRNLvZml7jUW7zV27zdO7zTu7zbe7zX+7zfB1zmgz7kwy73ER91hY/5uE/4pE/5tCtd5TM+63M+7wu+6Eu+7GrX+Iqv+pqv+4Zv+pZvu9Z3fNf3fN91fuCHrvcjP/YTP/UzN/i5G/3CL/3Kr/3Gb/3O7/3BH/3Jn/3FX/3N3/3DP/3Lv/3Hf/3PTW4GwEFPTg==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAewQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAewQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAEQQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA2wMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAzQMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKgAAAAAAAAA=eF5jZAACh34HRijNAKX/g4D9KH+UP8of5Y/yR/nY+f+g9F8oDQBldsyWAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAugMAAAAAAAA=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eF7jur64wJbrsj0PlOYapUfpUXqUHqVHaSJoTijNAaUBjpKa4A==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA5QAAAAAAAAA=eF5r+LBJ4u//9/ZNUDqmzHX7PyRa7O+2Rf+R6C/35vwF0Z+h9B5/PwYGhg9w+j8YvLdnAINR/ih/lD/KHz78Nw/DWZFplyXvFoPkYXTIq7mdoHI0DEprz9jx4gcSvWD/3gsfkGgF/zbGJ0i0Ts++rReAtBaUnsh5NmgLkJ4ApX/L9z/qAtK/oPTlxFI1PyQ6Q2Pfw8//ELThlcnNWUDaCEp/3J5hMenve/sPUHqKp1y87h8EzbS32GXXT6B/obSkc+Rfjq/v7aWg9J5fUfVPXr233welxdsE//qee28vAaUBPdtoiQ==AQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAANRIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFQAAAAAAAAA=eF5jYBgFo2AUjIJRMAooBwAGUAABAQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAArQoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAACADAAAAAAAArwAAAAAAAAA=eF4txdciAgAAAMCQWSFbJCuzsjNDiuyMyo7y///gwd3LBQL/WtzqNgfd7g53usvd7nHIYUfc6z73O+oBD3rIwx7xqMc87pgnPOm4p5zwtGc86znPO+kFL3rJy17xqlNOO+M1r3vDm97ytnec9a73vO8DH/rIOR/7xKfO+8wFF33uC5d86Stf+8a3vvO9y37wo5/87IqrrvnFr37zuz/86S/X/e0fN9z0r/8AXBwTVw==AQAAAAAAAAAAgAAAAAAAACADAAAAAAAArQAAAAAAAAA=eF4r4M988ff/e/uAJgXd/0DaYv/GCyBaRTLkH4hmAIMPo/QoTVfakKXrJij9KXIyTv8HpDWj51n8BtITAubd/gKkl30PS38FpM/bnY+4BaTNHu2oPwRKtzXCk+cD6cVcZuU5QDpFu+O1ApDWzVFmWv/vvX3I8j9f//59b58lOvHKvT/v7dnt9xp8/PXeflP3se8R39/bt4WEh114/97+EYPf7jN33tsDAONbwaI=AQAAAAAAAAAAgAAAAAAAAPASAAAAAAAAuQIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAA8wEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAxgAAAAAAAAA=eF4txRF0QgEAAMB6LwiCIAiCIAiCIPgQBEEQBEEQBEEQBEEQBEEQBINBEARBEARBMBgEQRAMBoNBEARBEATdyUVCb1HHHHfCSaecdsZZ55x3wYGLLrnsiquuue6Gm2657Y677rnvgYceeeyJp575w5+ee+GlV15746133vvL3z746JPP/vGv//zvi6+++e6Hnw6F30UcdcxxJ5x0ymlnnHXOeRccuOiSy6646prrbrjpltvuuOue+x546JHHnnjqmV/7BioOAQAAAAAAAAAAgAAAAAAAAGQAAAAAAAAADAAAAAAAAAA=eF7j5KQ9AACx7gOF
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_4800.vtu b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_4800.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..9f3523ca0fedbe32b576eb773242c1c82af86bc4
--- /dev/null
+++ b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_4800.vtu
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45" RangeMax="121" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0.0030455358151" RangeMax="0.0060094770992" offset="284" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.91825325747" RangeMax="0.99999849242" offset="6152" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="124131.81172" RangeMax="133431.6358" offset="8372" />
+ </FieldData>
+ <Piece NumberOfPoints="202" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-7.0884819272e-13" RangeMax="9.3258483408e-10" offset="17500" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="19260" />
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="201" offset="20816" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="100" RangeMax="9184.115389" offset="21332" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="100" RangeMax="9184.115389" offset="22872" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0.0046219865622" offset="24412" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="0.0030455358151" RangeMax="0.0060094770992" offset="25864" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1.119353899" RangeMax="1.1759660015" offset="29576" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="96447.119794" RangeMax="101325" offset="30940" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="96447.119794" RangeMax="101325" offset="32304" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1000" RangeMax="1000" offset="33668" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="92140.884611" RangeMax="101225" offset="33768" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.2975" RangeMax="0.2975" offset="35144" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.91744145231" RangeMax="0.99999859154" offset="35240" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="124131.81172" RangeMax="133431.6358" offset="36472" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="300" RangeMax="300" offset="42716" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="300" RangeMax="300" offset="42800" />
+ <DataArray type="Float64" Name="vapour_pressure" format="appended" RangeMin="0" RangeMax="0" offset="42884" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="7.0138490887e-10" RangeMax="3.570677046e-07" offset="42956" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="3.9063872807e-09" RangeMax="3.7353891742e-07" offset="46636" />
+ <DataArray type="Float64" Name="xmCG" format="appended" RangeMin="1" RangeMax="1" offset="50396" />
+ <DataArray type="Float64" Name="xmWL" format="appended" RangeMin="1" RangeMax="1" offset="50496" />
+ <DataArray type="Float64" Name="xnCG" format="appended" RangeMin="1" RangeMax="1" offset="50596" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="0" RangeMax="99" offset="50696" />
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.91936220394" RangeMax="0.99999835703" offset="50976" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.0049875621" offset="51972" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="52948" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="53660" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="53968" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _AQAAAAAAAAAAgAAAAAAAAO4AAAAAAAAAbgAAAAAAAAA=eF6FzDEKhEAMheG7pLZZsZqrLBKiGyXgJENmLBaZuzuFjY2W7/3wHSBaeHUqYorJ2kJyp3+G8D1u0fzHDqHvQCkyBMiyRkJJ0J49TuxoC84WkylracBQuzeCyn61B+fz6nDKsj0jQx3rCROkV2E=AQAAAAAAAAAAgAAAAAAAABsAAAAAAAAAIwAAAAAAAAA=eF4z0zPRM9A1NDS11E1Ps0gzSUo1STXXS8ksKqkEAFvyB7E=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAADxEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAAXgYAAAAAAAA=eF5t1ns0lGkcwPHtnCKLci/aEkcKraS2VHjS3VbKJpeSWqUbpZbEibZsKjIRkuRSyOheOzsr5FKoQcWqpumGGES976uyNDNof3P2d06O8/z1PZ9z3nnnfeb9Pc8ZQU+muO8rR+ITyGJlBUN8RVOjXgGNubd/ioLiq7GO2XKoOJDfJBvk5+jCYMkyZa3zIwO+UCyyT73bC73QIKnuoXhLoreGsswZnryb4jBWbYqyCe0J8k8UG/FTdJWVH2ip6qLYPnjEYw5auypiG0uxh5mLOwP9O9y7/j3FZgcDrnRCByxC1DooVp/l+rAdqn1MoN5G8dqOhnwp9LuKD8+bKXbSaQ14C53e1xLQOMg26E0dRp1voB2q86teUbzYwsj6JVRqcez9c4pjLnnNFivXyzOsf0Lx58rJw+uhY2OtDtRSXBGVk/AIeiO3VFoNrRzi7SFFTSKo/vTzGvcpXms1/kM5tDHJs6uM4qg1dn+WKL/XxJpXRLHBGlubAmi7x9gmIcXBKxt9BdAjibdbb1DcH12w5Br03kjX1EsUOxhJnudCA9hCWRbFmy9Ktc9DtYrXfz1H8Uc7ra4UaKKPYW4SxRpylV2noLqTV76LhaoPcTWvOTJaed1OYekRaNUQi0eOszoMXRLqNymc4pZpIT6h0AM1Au0gipdWd+sFQl+MMw/fQfH9kuLFftAZ2uvXb6TYn6/Svg6a8dPHHLdBTkfHhcuYVVCDuztXOg+yPvpZe7LLImh/heYyB+hTdB/6+5IkxWxolmXZURuo2hAXqNm1WUKzmxpkptDb6Cz06F6LgR+gTvtHx+sN8ny0ytMl00dBpT+rzxpB8Y8zt/oPDMD9Zm4Wd0Oth3ji+HHJDPR89FyvFqgJ+gJawuxMeQUtl/Vm11GsExLmLoKOSu1MuUNx0I4ptwRQe/23BnyKjYblRaVDU87e/BJHcbptz9UoaHhWnt5+ij9udFb4Q49O6ZrnDe0a4rRyX7IaGjBaNIdAz6H90V1jKpxsoa+rr9UbQzn0K7SNSnm5NrTF1LO8v58j09DNaHFp0EEWanj9aKkE+gw9Fn34lq+JCBrzOXXPTeghdDQ6ba+uawZ0rmFX0BHoObQdur/a7uIe6LG9LZ5u0D50FLqNSc51hG5ThGcYQ1vRfuh4+4iHqtA3j7JutvZx5CT6NXpBWllYDbTdqlh6EeqEbkPbbzWUHYe2Lr+8byN0HlqKHnOhLJRAYx0lB7UpFp2cMIJVwHpmr+4pVHzzHLT7xNWRiVBZZ+DFdVBPtBwdfcoux1p5Xa7cmJNz5ATaA22gKJEWQ9konYIQ6JghHkWK9hNoXv7xfZzsm/lo9wfcvFtQ58L7cnfoWvQy9C7e3Dwt6MEXa8Muf4G5QYejvytsFqyD7t2af6qtF95Xwf8ORKudir59Airc9ni6KlQVLUDvrLy3PLMHPhcTsV0VugOtQI+1z9KM/5cjLnzHqW+7Yb3oFWitqtjtHtCR5kSL95kjmujhaDe9qQ7MJzgXdle/HQZ1RQ9HZ9l4BC39yBFS4zBpZhecA2gH9B/pZX5eHEd+E33102dhntGB6EahyFCXgXPLdd3SxPcwV2ghus5wsvWmTo6YJ5ydl/yOIw/Rpuj8AG6TeTvsJ5eSgq9SjvyFbkTHii9FLGzhSO6sRCG/CeYBnYN+dnq+f0wD7Ite237PV3D+omXos3MWdZRIYP84p3bUPOVIMjoSraNe5Bz3D0eOH7gRkvEQfj90JHpPc9vwEyJ43uY8x2X34P2jJ6CfTJ66UK8YnsPSuEpVCOtF16HvrDYzdb7Okd1q3kUV2bBe9Ha0ntkC1cZUjtQYm/Q2xMJ8oh+grwTczW89BPtW9+yw17tgbtE8tEDq2OezgSOWwZJy8QL4X4e2QSelsYFRVnCe69fVho2A8wWdh5Z0hworO1gSFSF0eVrBkjfoo2inWpfjnVdYsnF33a+ZPJbMR3ujhYdT3wtCWZJ9+k6ojQ9LbqIz0QZJwi3py1lSFddzN34GS3TQlei0CZl6J01ZMs2rqs9BgyXJaHO0ZemZAa8+hhxym935SztDxqP3oFe9sYxeLGHIxBViy7kVDLFHa6CTagM96oUMKZx6SDM2C+6DzkW/XLQhIzeJIYImvkX/YYY8QOegz83s7/g9mCGLFoj4br4M4aHnoP8DP6Nbfw==AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAnBoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAABgUAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAbgQAAAAAAAA=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eF4txddCCAAAAMAiIytlr1RSRkb2LE2UIquQnRFJ2TtEZtnKlhFZyd579Vc9uHu5gID/At3CLR3kVm7tNm7rYLdze3dwR3dyiDs71GHu4q7u5u7u4Z7u5d7u477u53D3d4QjHeUBjvZAxzjWgzzYQzzUcR7m4R7hkY73KI/2GI/1OI/3BE/0JE/2FE91ghM9zUlOdopTneZ0T/cMz3SGMz3LWc72bM9xjud6nud7gRc613le5MVe4nwv9TIv9wqv9CqvdoHXeK3Xeb0LvcEbXeRNLvZml7jUW7zV27zdO7zTu7zbe7zX+7zfB1zmgz7kwy73ER91hY/5uE/4pE/5tCtd5TM+63M+7wu+6Eu+7GrX+Iqv+pqv+4Zv+pZvu9Z3fNf3fN91fuCHrvcjP/YTP/UzN/i5G/3CL/3Kr/3Gb/3O7/3BH/3Jn/3FX/3N3/3DP/3Lv/3Hf/3PTW4GwEFPTg==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAYgQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAAvQoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA3QMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA3gMAAAAAAAA=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eF5jZAACh34HRijNAKX/g4D9KH+UP8of5Y/yR/nY+f+g9F8oDQBldsyWAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA5QMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAJQAAAAAAAAA=eF7jur64wJbrsj0PlOYapUfpUXqUHqVHaSJoTijNAaUBjpKa4A==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAewMAAAAAAAA=eF5N1GtM01cYBnAqeJlG7QYRNiCbC47GgCiiVqY5giIKSAYhyHVuZgPFDbkoQ0bEQdgN1BF1OhgwGi8tNkS5tghChLowCZouQdYpJU3HtN2/fxAslyH4Ep/E8+n36U2ec85zXq17/7IXcyLTwuF2Z+kMaYb1Y+mWac4sz5xfpjg/izS7T5IHocb/TIadU3Yq8edx0hsWz+wofUYWwV2WwKgRcidcqw01C/Nz0Ml0cJeVdIRphoKMJ5zD0uLUf+bzwjPm3TITeRquLy28OUiug2+ZBiR/k1KY80aP60PyK3jZVDuq5+wNUp3u4wx4dOtpD7kRPnj8m6OOc4Vb/0AHZ7emLKWV7ILynFZVI7kV6t8xVtXNz8Olcb7BSs4EXerZGjIONloN35STTTA2MMrlHBkDfdoWBpVwDh24ICniTKu0ReZxXtrGVmdy1tuNR1M59YrtG5I53X7qSIgmV0GZonZoN7kGbm5waA4k/WFubWKvL5kDOyu7nN8jb0O5vCDvzfk5mH7y8X8Szt7BiZjRWZHdg6v3HSk3ku/DBGGRopdz6Mf0fRrSCIN1dXkKzlPZnY4lnNqgyfZMsgVGjH98IpYMg4o5YU7O+ev26y5vkxVw6ZeVWfYXIlsM438vu/eA3A+lwaq718gVMEKomc0jw+Cz9X1ze8kR+EOIMsSFLIbfT1m3/DUjsm+hPN7d+xK5Cfb3hO/5iFPiKb3hQDrA8pQ9Ecr/KTf0dy57FEIGQM0V+5OH03QP0DKW25zE2R6nk+unRNYKVYYDDpvJqzBtyUav4knaA1Cr/GBN24TImqFeae7pt1O/YejT8JH7z+k9YJXBK6pmnHLCTwOSN+wco77DQ7F+09dHRZYCZQ2DdfdFkXlBNxe1f7UgMmd45051+GKryNpg/P7LIeK/IouGakn0si1mkV2Btobq7EajyKywO9TnEz8D9RN2OWqWJ/1J54eRx3wu6v8QWRBMPzzgtKCTcsLzjW4eHvX0bjA/vFv6vJr2JVyV5Jrc9x31AY58frxiJuW1ysOFRXu30j+Hap2rxxcTNtYMW7ItJu8WG2uC76rVpbmFNuYKo07G5WfH2FgYzFpgWXl7rY0dgvqbs3dXOtlYB1w01SSrMgpsePKVJR82+ZnaBJYKz8s8FfkVAsuARwuiM72/FlgsrFUF+NYlCuwifAmkrqnUAQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAAKBIAAAAAAAA=eF5l13k4Vdv7APAIyaUrhHBRIcM1FaEsraSSJElykVQ0KJQmDRpvylyiZJ4JGU5mNsshV0ilVKKSSKlc6ex9KqXf/j3nffrjfv/+PHtYa73rHbZPLiyyncrgqz/Wip7P4eG3kl5Riztuk0OR3fkvuKOWXuAx4LJSAt8ZIfDOf9pODYowuFKvpGE0j4dDGm8IeTTcJqevTj56a3aR6gAvA08D/xQkv0lkz0XqYLvePBVxBuuWNppwb/Kwb1b6m5Ts22Ty4w8vdeUI6jC4CbgdeB0eLeLxwqjTNg9aNvzG4MY3FvlxHB4W6zt051X4beIbh3P91jlSF8Hvgyf1Cnyxm35XZfdiKqXskG/4DAZ/jCpR213Jw9LuToUagbfJPtf8POO2BJQP/h2cuAlcbY7fGd17Cej66i6pppkM9vavjbWs42F0y+/yTtfbxPJV2bwko3SUAh4IPskR+GGqVDGjMB1ldKaUfJNjMG06Ki7dyMP9YdOP51vdJt+iCxzSBnNREbjYIoFfBOe67ZPsWpmHcOplpwWKDB7wf3b89W32/aIH9nzUuE1mr84avzerBK0EfwfOBTfzUU/DV1hP3PJ5tzKD3+z6/WNFGw8/1ZzqY/TbbZLufDRdtrP0f/wVuHuRnpnVsxI0V6UuJl2VwQa6Sh5h99j9V1PzPfCpmTyOK1wRGlX8y43Av6gK3HfTx9YR5xIk997VqGcOg5O8zrdufsTDfrnmwRVPmsniHz0tCsZlvzwL3A78ZNPC6FXLypCM+Zt2aU0Gz3buMTbu4eFDSzvTvlLNpL7TNvCYezlSANcGXw6+p1ZW+Y+UCmR1WcbHVpvBz3oSr4m84GHtw3ueWGY1k4zNPW7t+jXIGnwQfPiQwImp1tcYyWrU8Cxs4pQeg+fbOn59MsDD73VuzDsd1kzETg9477tbi1rBdcHbwL3uh6zKcKxDC1Z9i6o0YHCb7xGXgmEedm3Rv9i0r5n0ly5/naxZg0zBW8HjwYuxgj0VUYNq1kmo/WvM4IQj0UUnP/Cw+tmb06ZtaibNml65bzoqUDl4GPgucK2YkQdjwpWopHBbgZYpG19T5YScPvFwaMJIlh1qJp29awIWlFSgHHC+sMDvg78dJCvPtZajurU3Fnqas9/nBa/VZNj9iynfFjWvmSz/Uyy5dB0H1YDHgZuAd6R+vtxucQtJOJ2tjFvC4N+PL7/y5RsPcwI+Lu+a3ky26h45lce9hSTBZ4JngZtnXxhf01+GvvyMXnTXisGffj550P6TPd8pp9fIjzURjeXyRvrtHDQOPg6+A1z29cG87+Ic5FwXWCJizeBTSoXiqSI03viH7wm3x6yT8NhHU24hL/AIcHXwZ6pF7gt7OGiJ0B0NyxUM7j6jbxY4ncYGTGVPSl0TeWV22fVkcgWyBh8CH6MFnu9Se1x7eyVSdDa8csCWwQqTLR4rZtD48JbzO15nNBHJGr/ztTXVSARcErwa/I1sNbdfvxrdX4wn8tcwGLv2BynK0thbZ1JTO7SJRDReatI4WoE6wLXA28E9LY4OfVKuRI1GsR4DDgxWXf0i7L0CjYWPeSr7BTQRS05vvcGRMlQGLgm+G7y+IldD3LEM9V9vrJjtxOCOHXNj6lVoLGb8eTVnYxNZ+VfuXFXvMvQAvAI8Anxbx671o2plqLDcY/r6jQw+If1b1OU5NC5xUirnL2kiIfOmpL1qLkZZ4PvAv4ETzc4VuVcKUecl/oaLrgxe9NfnYG8tGl86utwLzW0i0m5W8aIaN9B9cAvwQ+CxVfazrgYXoBZ6ztUGdwYXji3YaqZHY7J+zOGceBMpalrXuX1rHqoBvw4+30ngupHbxE+UFSBnj933GE8Gn5ZQNZMwovGGP8r/vjPKJVsDKrdPI5noL/C/wa3Be7G8sJRtGjr71PWn/jYGUzaiP/tMaDy5xEJUuptLAlVGLuxQzUQnwKvB1S0F3un2ZG0OLwe9mnZU08eHwY/CTauKLWjcT8weudRyiWuYkyF/cwp6Ck7A3RoFnvSCqz4RmIKqJtctS9rFYLlJ/tazVjReJHGaTk7nkrXub1XM9dN/+UxwF/DRH7fyV2mmogUmW50e7mHw8s7LE87L2fP1ZPYOXeASmUMPqbb8NKQNvhj8Dvj2jXca7y9KR4yfvqtEAIM/aNj8Pd+WxrsuxVrp+3PJfqeSIzmnotF78AHwBHAt/rWVESsT0LuCBU7LAtn8LGQ/8dWexrFpvv6HnLnk5OGvv/lYxKI34M/AW8FfT8hulU6KRTZyH5YGHWLwHtWBLR3rady1OXVK/WIu0b9Xtt9AYx+yAvcAV/QUOMf+1NrisI3U15cP1IuDGPzl3uLSFBcaz5qy/6vYHC4R9Xu6xMg3mvoC/hl8NbjhzsqRg1MiqVOr/+INHWfv7+j50X3uNJYrM93sOI1LshTEg/O/JlFnwa3Bv9wSOLOzfKXUpnTKLphXrXKKwSO1o/LLvWj8zywPo4SPjWTbJXrv+Y4Uyhz8Kbi2vMCzvZnHuacyKPsomf0bzjL4YHeiziwfGl+L3HNk8GEjGdQQMvyxKY+yBfcH54LvzpyXuFY1j2oNUJsddp7BBfOLNYd307jzjIiZYU0j4fYtWji7OJfqAC8BbwD32tJuNq5+gyqiz5WSiww+O7ZCotqfxlFO/QeOpTUS3x+mFjGPC6kS8BDwBPANJe80/1pZStW9yLbghzNYsTPocdgBGitJPFjQEtJIgjrOn8nUKaFqwZXANcCjHo+7X8ktoGa/Hy7Rj2ZwXr97qEcQjXVySZCMXyMxWpNoN5JcSMmDZ4Jbg4f16A2vzy2mVKbmy3vHMJgj8nOOQTCNxYeL7bZsaCTrbT/KpjzgUNrgdeBdbwRewgkKem5XQkUdWO2bEMfgDfr+qT/PsOvbXnaz0KKRjGosf6eUlEVFg3uAnwAvks7eyKAsqsVmTsH9eAZrDJdOeRBC47c9dM43tUZy8kmbbeCsLKoRfD74OLhwYb9un2cmdbY87KlYEht/0vdtMsJpPLEhf8lqMdYt8yN3Xk6mzoPbg7eB73dx/vOzZTZ1feD5J8tUBr9+2OF74BKNV76X3h//gZDC4JMN/c27qFzwSXDOiMCnaAwpRs+QoNzyApnADLY/+V6w3yaOxrqUr/3bLkLaJlVn3TmQhLaBXwL/UifwpDUyy0U849Gxu+lDedls/i8LdJ2VwOav2E9d5tWEyBeuOLFza/4vXwquCH5RAy1MTy1AmREt9S/y2PvZpaP6JoXG/ya0Tw9LJSTspbyBzisO4oCLPhT4UfDCcq7/wmAOMrqKz8gVsvfzVX9jRSaN4x0m6N7zhCS0KG8LiC5Dhv/xBPAV8RrtjollqLng8J92xWx8CXGsL+Sx/UG6XZLBXkJq/IM+x0SVIi54Bvg4+KO700a22VegNqFnDac47Pwl/E/qppts/vtkKHTWiRDzeGuVT35s/QUvA48Gl8hUKuC8LEXfk0cWl5ez5/Nhy9P5HBpLSxdoPzYnRCErt0B7RzWiwT+BbwBPzx66EGlYjXgTlskjVez8dLT3Pb+Cxl7qivJ6aoQMJcZ5c9zK0XvwF+D54JJ62oNW1dUozuXMG7U6BvcJcXv+qaXxjjV0+2lRQnz3t4057S9AIeAE/Au4x0aXUdHdJah1ZqT8xgb2/iY8TL9G2PW/NrhW9KSB4KkP/dze5aJm8Czwz+DrZ644l9SYheKHd+iHcRm8zV3JZudtNv+FXNbZnNVAPPVWzM1Qy0Qx4G7gDLjQXO9wmwU5yKDYRa/hNoObxIQbF7XReI5UnJ3U/gbyaFfIk9jecKQNXgeeD75Tu27B96wr6HnvV2leK4Pb7xyeLXaPxlrW28bqUQNJ2qL60+trFhoEfwzeskzgYm1L1j3xiUMZxp4vtTvY/shOal33Q/b/hlQkAiUaSEJyHL9qZhaqAo8FDxkU+NWJ4/pxorkoqlgjfvM9BjtNM/POesre32nlwVpP6klrgFRrwbKbKBJ8E7gouMmfo6eC1t5CtTuKUUwXg2WULngceE7jlNjpmn2Z9aRMTbfMgb6FasAVwJeAH77WVXJ2oARl/bv5YUs3+//Dksh6gMbvRee0xeyrJ5/vXli790rZLz8JHgZutWzmYpPUSmQT/XzzxFO2/rt0SM4cpnHdb/Pn2qF6IhfZOiFuVYUMwFvBRaUE3mQ4f9d3x3L0QDr2tWEfgy1ne3a/fE/ju+P1LUIS9aRwjmuL7f1s1Ao+D7zrs8BNs6xcjvNzEFYz9PN+yfYXRS2ZRWM0NpKcoV/9mCJT8tdelHNIQHPBq8FrpAT++71Q52VzE9HJYR+x6wNs/u2NDw2m2fp/Mf16QCZFCmWl7Rv7zyFvcBXw+FCB77iSe2Ig9BrVkjql4e4QG///nk6x/0bj7KnM7xr7KPLlgcVx44sRVAN4MriOiMDfdVSGb0jdQ8WqWhcKv2P7A/3twio/aUzLv1jSbUkR8XoblQ6SSaWBj4JLgidUJz9wd8mkXPz7Rsw+MDg4267//VR2n5UsnM5Mp0h1C0fm72NHKAfww+A6ygKfMByIvJdzlfIKLUz3+5fBEp1nA+vEGbzQ12xI83Edse19LKt/Jo1yARcBjwH3GIzomrQMp1L6ropmjTOYsdsmHiXF4H7TmJyGjDoi418zpVs1iaoCl1wj8BoTgWf7VtJSUtvRjuHftvTS/7+/l2dslWFwYuiy3+0C6kjRhUuNmVUp6CD4n+BdFwUeYbT0m+FUGzQeKCIj95XBuwvFlBcpMFj+QdXL+iV1pLPU1XSTdQqiwQ+CX7ov8FZlXc6HjVlooKTqhsN3BjtMj5uUUmHwz08HvWeJ15Gl4nc4sRGJqA/cEVx1XOBjAZ52R/sy0FEx2ZHwn2z/Eary8p06W0fj73kue1RLPphsoQya4tAR8LL/+PjCg9tJXQRKuKE80iHMxztP6mxp12TwsR0rPI3Taom3+zWJGoUQlAa+C1wN3CQ4dL9YegxqXVdhKSvGx0VHZvaW6TJ419REk449tQRHvtukH8rOX+AV4Frgg7zsb5Ui19H6yVqjrdP5+MiP2XduGLLnqIR5HxbVkiATrdjBtVfQXvAMcIfZAl+EFq+Lm3kNDVurmNdI8rGbt65zsQmD0x4sOekhVEtqgl78fmRGARoD3wvee1/gFYk/iiT8SpHYk8+X50nzcRj3o9tdCwbHRXP7W9pqSOrwsfkZ80v+x6+Ai+5LXdb3by7ytR/1zZbl46xAH3XppWydt1BefyOmhsjkjVRILyxFHuDnwR0XC/yRmtO0DSNsfTe+0G2vwD7fZofDbdg5+nVE7gLXGqK1SmbXbu2rvzwHfAi85O7htREmyShbM8HNUJmPD5kPT9tix+D72ZtdJJRqyAenyOLSgASUBu4PLpcj8BmeIQEnt55GX4x9bu5X4+OxNoW/uY4MLu0v1BnqriZyMtF1S6PyqA/g/eDyrwQuIeye0HP5KrVw1LjbWYOP1wy1LVVg52z5P14Vci5Uk1G3bIP+FeGUIfhKcEXwiJ2PN56ezKTsOO88RnX4eE+4Z3iwFxt/vd7GSgbVxDFvu4ZeRA6Fwb3BhfoEvm9j5rj2xHVK/Y+9De2GfHxDb27q6t0MXmlgNd3mfhW56fB0nS2T/csrwCf1Ba6s8rzHxZFDmTvoBAaa8rErjQqa9jP4L5U9z58eqiKeKhqjYyoFlCq4Lri9qsAbJc1O/VOaRql/XDf98WI+LnnNl+o5yuYRA6E9qWpVxNtHOGduXwWlCJ4F7gquZZpyd67DLcoJHfKfgfmY31ucffMMuz69QsXZHZXkzhPfadzwW5QruHCfwLN0Ba7ipFC0oLOUGoi4Hqm9go+dNux45BzKzqHGO7WOHKskQQcSZ716eYt6Be74Hxd2OfhJyo1DnTDwCf7Tjo/rbivUPbvE1kHFmzrmupXEmvfaQzqyjPIFTwO3mS3wKI93g733yqiqoNR/1NbxsZxpQMEqds7wPSgeMrW3gthv97uRbFpNNYPPB687IPDNc266Hz1XSz00rDog5szHVatib6azc8IH4eDm+IgKMtYyxyfQj1Bd//H34InJjor95xqos3u3xLx25WMyN9r9Yw7rZtOftVhVEEs7jYYkf4o6CV4Fbmcu8NYXe20dJKupjGNz5Bzd2f03W6B6KZ/BqRvfUpMKFeSu5M6Fh7sbqevgg+BbXQR+IO9mhLhGE/V/Swon0A==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFQAAAAAAAAA=eF5jYBgFo2AUjIJRMAooBwAGUAABAQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAApQoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAA4goAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAACADAAAAAAAArwAAAAAAAAA=eF4txdciAgAAAMCQWSFbJCuzsjNDiuyMyo7y///gwd3LBQL/WtzqNgfd7g53usvd7nHIYUfc6z73O+oBD3rIwx7xqMc87pgnPOm4p5zwtGc86znPO+kFL3rJy17xqlNOO+M1r3vDm97ytnec9a73vO8DH/rIOR/7xKfO+8wFF33uC5d86Stf+8a3vvO9y37wo5/87IqrrvnFr37zuz/86S/X/e0fN9z0r/8AXBwTVw==AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAygIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAA8wEAAAAAAAA=eF5dyFUbCAYARmHdHRPTzXQzXZvujqlpwzBs2nQM00w302Ziasb8KxfOd3POzfs8p0CBzxXEwlhI5hfFIjK/OBaT+SWxhMwvjaVkflksI/PLYzmZXxEryPzKWEnmV8UqMr8afiHza2B1mf8l1pT5tbGWzK+LdWR+fawn8xtiA5nfGBvJ/KbYROY3x2Yy/ytsIfNbYUuZ3wZby/x22Fbmd8D2Mr8TdpT5XbCzzO+GXWX+19hd5vfEHjK/N/aS+X2xj8zvj/1k/kAcIPO/wUEyfzB+K/OH4hCZPxyHyfyROELmj8ZRMn8sjpH543GczJ+IE2T+ZJwk86fiFJk/HafJ/O9whsyfhTNl/hycLfO/x7kyfz7Ok/kLcYHMX4yLZP5SXCLzl+EPMn8FLpf5K/FHmb8aV8n8NfiTzF+Ha2X+L/izzN+A62X+Jtwo87fgZpm/DbfK/O34q8zfiTtk/m7cJfP34h6Zvx/3yfzf8IDMP4QHZf7veFjmH8UjMv84HpP5J/GEzD+Np2T+H3hG5p/DszL/Ap6X+Zfwosy/gpdl/jW8KvNv4HWZfwtvyvw/8bbMv4t3ZP59vCfzH+IDmf8YH8n8J/iXzH+Kf8v85/hM5v+DL2T+K3wp89/ga5n/L76V+f/hO5n/Ad/L/I/4P34Cj66dCQ==AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAxgAAAAAAAAA=eF4txRF0QgEAAMB6LwiCIAiCIAiCIPgQBEEQBEEQBEEQBEEQBEEQBINBEARBEARBMBgEQRAMBoNBEARBEATdyUVCb1HHHHfCSaecdsZZ55x3wYGLLrnsiquuue6Gm2657Y677rnvgYceeeyJp575w5+ee+GlV15746133vvL3z746JPP/vGv//zvi6+++e6Hnw6F30UcdcxxJ5x0ymlnnHXOeRccuOiSy6646prrbrjpltvuuOue+x546JHHnnjqmV/7BioOAQAAAAAAAAAAgAAAAAAAAGQAAAAAAAAADAAAAAAAAAA=eF7j5KQ9AACx7gOF
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_7200.vtu b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_7200.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..d412d7385b9a7c6795258c80104fea0b0b1e34a5
--- /dev/null
+++ b/Tests/Data/TH2M/H2M/Liakopoulos/liakopoulos_newton_t_7200.vtu
@@ -0,0 +1,54 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45" RangeMax="121" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0.0030935508939" RangeMax="0.0060072224773" offset="284" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.91387938833" RangeMax="0.99999845838" offset="6120" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="124138.75649" RangeMax="133278.45292" offset="8356" />
+ </FieldData>
+ <Piece NumberOfPoints="202" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-7.0897333491e-13" RangeMax="5.7049049761e-10" offset="17480" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="19260" />
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="201" offset="20804" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="100" RangeMax="9376.6360074" offset="21320" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="100" RangeMax="9376.6360074" offset="22844" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0.0046483724574" offset="24368" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="0.0030935508939" RangeMax="0.0060072224773" offset="25812" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1.1247432239" RangeMax="1.1759660015" offset="29504" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="96911.481301" RangeMax="101325" offset="30860" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="96911.481301" RangeMax="101325" offset="32228" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1000" RangeMax="1000" offset="33596" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="91948.363993" RangeMax="101225" offset="33696" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.2975" RangeMax="0.2975" offset="35088" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.91317358761" RangeMax="0.99999859712" offset="35184" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="124138.75649" RangeMax="133278.45292" offset="36444" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="300" RangeMax="300" offset="42680" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="300" RangeMax="300" offset="42764" />
+ <DataArray type="Float64" Name="vapour_pressure" format="appended" RangeMin="0" RangeMax="0" offset="42848" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="4.0916837128e-10" RangeMax="2.6984778761e-07" offset="42920" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="2.1750018919e-09" RangeMax="2.8356005743e-07" offset="46612" />
+ <DataArray type="Float64" Name="xmCG" format="appended" RangeMin="1" RangeMax="1" offset="50352" />
+ <DataArray type="Float64" Name="xmWL" format="appended" RangeMin="1" RangeMax="1" offset="50452" />
+ <DataArray type="Float64" Name="xnCG" format="appended" RangeMin="1" RangeMax="1" offset="50552" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="0" RangeMax="99" offset="50652" />
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.91484353004" RangeMax="0.99999826885" offset="50932" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.0049875621" offset="51940" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="52916" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="53628" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="53936" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _AQAAAAAAAAAAgAAAAAAAAO4AAAAAAAAAbgAAAAAAAAA=eF6FzDEKhEAMheG7pLZZsZqrLBKiGyXgJENmLBaZuzuFjY2W7/3wHSBaeHUqYorJ2kJyp3+G8D1u0fzHDqHvQCkyBMiyRkJJ0J49TuxoC84WkylracBQuzeCyn61B+fz6nDKsj0jQx3rCROkV2E=AQAAAAAAAAAAgAAAAAAAABsAAAAAAAAAIwAAAAAAAAA=eF4z0zPRM9A1NDS11E1Ps0gzSUo1STXXS8ksKqkEAFvyB7E=AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAA+BAAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFgUAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAYAEAAAAAAAA=eF4txddCCAAAAMAiIytlr1RSRkb2LE2UIquQnRFJ2TtEZtnKlhFZyd579Vc9uHu5gID/At3CLR3kVm7tNm7rYLdze3dwR3dyiDs71GHu4q7u5u7u4Z7u5d7u477u53D3d4QjHeUBjvZAxzjWgzzYQzzUcR7m4R7hkY73KI/2GI/1OI/3BE/0JE/2FE91ghM9zUlOdopTneZ0T/cMz3SGMz3LWc72bM9xjud6nud7gRc613le5MVe4nwv9TIv9wqv9CqvdoHXeK3Xeb0LvcEbXeRNLvZml7jUW7zV27zdO7zTu7zbe7zX+7zfB1zmgz7kwy73ER91hY/5uE/4pE/5tCtd5TM+63M+7wu+6Eu+7GrX+Iqv+pqv+4Zv+pZvu9Z3fNf3fN91fuCHrvcjP/YTP/UzN/i5G/3CL/3Kr/3Gb/3O7/3BH/3Jn/3FX/3N3/3DP/3Lv/3Hf/3PTW4GwEFPTg==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAVQQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAVQQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAGAQAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAEAZAAAAAAAArgoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA1wMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA4QMAAAAAAAA=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eF5jZAACh34HRijNAKX/g4D9KH+UP8of5Y/yR/nY+f+g9F8oDQBldsyWAQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAA8gMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAJQAAAAAAAAA=eF7jur64wJbrsj0PlOYapUfpUXqUHqVHaSJoTijNAaUBjpKa4A==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAkAMAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAHAAAAAAAAAA=eF5jYACCA0UODKP0KD1Kj9Kj9ChNAQ0A02EkBA==AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAFQAAAAAAAAA=eF5jYBgFo2AUjIJRMAooBwAGUAABAQAAAAAAAAAAgAAAAAAAAKAMAAAAAAAAsAoAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAAFAGAAAAAAAAKQAAAAAAAAA=eF5jYACBD/aMUPo/GLy3Zxjlj/JH+aP8Uf4oHw//H5T/F0oDAJ/vSn8=AQAAAAAAAAAAgAAAAAAAACADAAAAAAAArwAAAAAAAAA=eF4txdciAgAAAMCQWSFbJCuzsjNDiuyMyo7y///gwd3LBQL/WtzqNgfd7g53usvd7nHIYUfc6z73O+oBD3rIwx7xqMc87pgnPOm4p5zwtGc86znPO+kFL3rJy17xqlNOO+M1r3vDm97ytnec9a73vO8DH/rIOR/7xKfO+8wFF33uC5d86Stf+8a3vvO9y37wo5/87IqrrvnFr37zuz/86S/X/e0fN9z0r/8AXBwTVw==AQAAAAAAAAAAgAAAAAAAACADAAAAAAAA0QIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAPASAAAAAAAAuQIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAA8wEAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAACADAAAAAAAAxgAAAAAAAAA=eF4txRF0QgEAAMB6LwiCIAiCIAiCIPgQBEEQBEEQBEEQBEEQBEEQBINBEARBEARBMBgEQRAMBoNBEARBEATdyUVCb1HHHHfCSaecdsZZ55x3wYGLLrnsiquuue6Gm2657Y677rnvgYceeeyJp575w5+ee+GlV15746133vvL3z746JPP/vGv//zvi6+++e6Hnw6F30UcdcxxJ5x0ymlnnHXOeRccuOiSy6646prrbrjpltvuuOue+x546JHHnnjqmV/7BioOAQAAAAAAAAAAgAAAAAAAAGQAAAAAAAAADAAAAAAAAAA=eF7j5KQ9AACx7gOF
+ </AppendedData>
+</VTKFile>