From 055a6c944f9cdb86e5a448cfdff86a9f6f081dfc Mon Sep 17 00:00:00 2001
From: Thomas Fischer <thomas.fischer@ufz.de>
Date: Wed, 17 Jun 2020 14:57:29 +0200
Subject: [PATCH] [T] Add test for pri. var. constraint Dirichlet bc.
---
ProcessLib/LiquidFlow/Tests.cmake | 6 +
.../cuboid_1x1x1_hex_1000.vtu | Bin 0 -> 139157 bytes
...d_1x1x1_hex_1000_Dirichlet_Dirichlet_1.prj | 213 ++++++++++++++++++
...d_1x1x1_hex_1000_Dirichlet_Dirichlet_2.prj | 213 ++++++++++++++++++
...d_1x1x1_hex_1000_Dirichlet_Dirichlet_3.prj | 213 ++++++++++++++++++
.../cuboid_1x1x1_hex_1000_entire_boundary.vtu | 44 ++++
...1_hex_1000_large_part_of_left_boundary.vtu | 25 ++
..._hex_1000_large_part_of_right_boundary.vtu | 25 ++
...x1_hex_1000_large_part_of_top_boundary.vtu | 25 ++
...nt_dirichlet_top_1_ts_1_t_43200.000000.vtu | 30 +++
...nt_dirichlet_top_1_ts_2_t_86400.000000.vtu | 30 +++
...nt_dirichlet_top_2_ts_1_t_43200.000000.vtu | 30 +++
...nt_dirichlet_top_2_ts_2_t_86400.000000.vtu | 30 +++
...nt_dirichlet_top_3_ts_1_t_43200.000000.vtu | 30 +++
...nt_dirichlet_top_3_ts_2_t_86400.000000.vtu | 30 +++
15 files changed, 944 insertions(+)
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_1.prj
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_2.prj
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_3.prj
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_entire_boundary.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_1_t_43200.000000.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_2_t_86400.000000.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_1_t_43200.000000.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_2_t_86400.000000.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_1_t_43200.000000.vtu
create mode 100644 Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_2_t_86400.000000.vtu
diff --git a/ProcessLib/LiquidFlow/Tests.cmake b/ProcessLib/LiquidFlow/Tests.cmake
index 20d43d1a4aa..7f15cacf1f2 100644
--- a/ProcessLib/LiquidFlow/Tests.cmake
+++ b/ProcessLib/LiquidFlow/Tests.cmake
@@ -435,3 +435,9 @@ AddTest(
# DIFF_DATA
# GLOB LF_constraint_bc_1e3_pcs_0_ts_*.vtu p p 1e-15 1e-14
#)
+
+if (NOT (OGS_USE_MPI))
+ OgsTest(PROJECTFILE Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_1.prj)
+ OgsTest(PROJECTFILE Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_2.prj)
+ OgsTest(PROJECTFILE Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_3.prj)
+endif()
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000.vtu
new file mode 100644
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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_1.prj b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_1.prj
new file mode 100644
index 00000000000..7c60c031c65
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_1.prj
@@ -0,0 +1,213 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProject>
+ <meshes>
+ <mesh>cuboid_1x1x1_hex_1000.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu</mesh>
+ </meshes>
+ <processes>
+ <process>
+ <name>LiquidFlow</name>
+ <type>LIQUID_FLOW</type>
+ <integration_order>2</integration_order>
+ <darcy_gravity>
+ <!-- axis_id: 0, 1, or the dimension of space minus one -->
+ <axis_id>0</axis_id>
+ <!-- g>=0. g=0: non gravity term -->
+ <g>0.</g>
+ </darcy_gravity>
+ <process_variables>
+ <process_variable>pressure</process_variable>
+ </process_variables>
+ <secondary_variables>
+ <secondary_variable internal_name="darcy_velocity" output_name="v"/>
+ </secondary_variables>
+ </process>
+ </processes>
+ <time_loop>
+ <processes>
+ <process ref="LiquidFlow">
+ <nonlinear_solver>basic_picard</nonlinear_solver>
+ <convergence_criterion>
+ <type>DeltaX</type>
+ <norm_type>NORM2</norm_type>
+ <abstol>1.e-10</abstol>
+ </convergence_criterion>
+ <time_discretization>
+ <type>BackwardEuler</type>
+ </time_discretization>
+ <time_stepping>
+ <type>FixedTimeStepping</type>
+ <t_initial> 0.0 </t_initial>
+ <t_end> 86400 </t_end>
+ <timesteps>
+ <pair>
+ <repeat>2</repeat>
+ <delta_t>43200</delta_t>
+ </pair>
+ </timesteps>
+ </time_stepping>
+ </process>
+ </processes>
+ <output>
+ <type>VTK</type>
+ <prefix>part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1</prefix>
+ <suffix>_ts_{:timestep}_t_{:time}</suffix>
+ <timesteps>
+ <pair>
+ <repeat> 1 </repeat>
+ <each_steps> 1 </each_steps>
+ </pair>
+ </timesteps>
+ <variables>
+ <variable> pressure </variable>
+ <variable> v </variable>
+ </variables>
+ </output>
+ </time_loop>
+ <media>
+ <medium id="0">
+ <phases>
+ <phase>
+ <type>AqueousLiquid</type>
+ <properties>
+ <property>
+ <name>viscosity</name>
+ <type>Constant</type>
+ <value> 1.295e-4 </value>
+ </property>
+ <property>
+ <name>density</name>
+ <type>Constant</type>
+ <value> 78.68 </value>
+ </property>
+ </properties>
+ </phase>
+ </phases>
+ <properties>
+ <property>
+ <name>permeability</name>
+ <type>Constant</type>
+ <value>9.2e-12 0 0 0 9.2e-12 0 0 0 9.2e-12</value>
+ </property>
+ <property>
+ <name>reference_temperature</name>
+ <type>Constant</type>
+ <value>293.15</value>
+ </property>
+ <property>
+ <name>porosity</name>
+ <type>Constant</type>
+ <value>1</value>
+ </property>
+ <property>
+ <name>storage</name>
+ <type>Constant</type>
+ <value> 0.00e-10 </value>
+ </property>
+ </properties>
+ </medium>
+ </media>
+ <parameters>
+ <parameter>
+ <name>p0</name>
+ <type>Constant</type>
+ <value>0</value>
+ </parameter>
+ <parameter>
+ <name>part_of_left_boundary_Dirichlet</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>part_of_right_boundary_Dirichlet</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>constant_porosity_parameter</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>kappa1</name>
+ <type>Constant</type>
+ <values>9.2e-12 0 0 0 9.2e-12 0 0 0 9.2e-12</values>
+ </parameter>
+ <parameter>
+ <name>p_spatial</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>zero</name>
+ <type>Constant</type>
+ <value>0.0</value>
+ </parameter>
+ <parameter>
+ <name>p_Dirichlet_top</name>
+ <type>Constant</type>
+ <value>-0.1</value>
+ </parameter>
+ </parameters>
+ <process_variables>
+ <process_variable>
+ <name>pressure</name>
+ <components>1</components>
+ <order>1</order>
+ <initial_condition>p0</initial_condition>
+ <boundary_conditions>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_top_boundary</mesh>
+ <type>PrimaryVariableConstraintDirichlet</type>
+ <parameter>p_Dirichlet_top</parameter>
+ <threshold_parameter>zero</threshold_parameter>
+ <comparison_operator>greater</comparison_operator>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_left_boundary</mesh>
+ <type>Dirichlet</type>
+ <parameter>part_of_left_boundary_Dirichlet</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_right_boundary</mesh>
+ <type>Dirichlet</type>
+ <parameter>part_of_right_boundary_Dirichlet</parameter>
+ </boundary_condition>
+ </boundary_conditions>
+ </process_variable>
+ </process_variables>
+ <nonlinear_solvers>
+ <nonlinear_solver>
+ <name>basic_picard</name>
+ <type>Picard</type>
+ <max_iter>10</max_iter>
+ <linear_solver>general_linear_solver</linear_solver>
+ </nonlinear_solver>
+ </nonlinear_solvers>
+ <linear_solvers>
+ <linear_solver>
+ <name>general_linear_solver</name>
+ <lis>-i cg -p jacobi -tol 1e-16 -maxiter 10000</lis>
+ <eigen>
+ <solver_type>CG</solver_type>
+ <precon_type>DIAGONAL</precon_type>
+ <max_iteration_step>10000</max_iteration_step>
+ <error_tolerance>1e-20</error_tolerance>
+ </eigen>
+ <petsc>
+ <prefix>lf</prefix>
+ <parameters>-lf_ksp_type cg -lf_pc_type bjacobi -lf_ksp_rtol 1e-16 -lf_ksp_max_it 10000</parameters>
+ </petsc>
+ </linear_solver>
+ </linear_solvers>
+ <test_definition>
+ <vtkdiff>
+ <regex>part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_.*.vtu</regex>
+ <field>pressure</field>
+ <absolute_tolerance>1e-15</absolute_tolerance>
+ <relative_tolerance>1e-14</relative_tolerance>
+ </vtkdiff>
+ </test_definition>
+</OpenGeoSysProject>
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_2.prj b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_2.prj
new file mode 100644
index 00000000000..2eedeb0a90c
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_2.prj
@@ -0,0 +1,213 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProject>
+ <meshes>
+ <mesh>cuboid_1x1x1_hex_1000.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu</mesh>
+ </meshes>
+ <processes>
+ <process>
+ <name>LiquidFlow</name>
+ <type>LIQUID_FLOW</type>
+ <integration_order>2</integration_order>
+ <darcy_gravity>
+ <!-- axis_id: 0, 1, or the dimension of space minus one -->
+ <axis_id>0</axis_id>
+ <!-- g>=0. g=0: non gravity term -->
+ <g>0.</g>
+ </darcy_gravity>
+ <process_variables>
+ <process_variable>pressure</process_variable>
+ </process_variables>
+ <secondary_variables>
+ <secondary_variable internal_name="darcy_velocity" output_name="v"/>
+ </secondary_variables>
+ </process>
+ </processes>
+ <time_loop>
+ <processes>
+ <process ref="LiquidFlow">
+ <nonlinear_solver>basic_picard</nonlinear_solver>
+ <convergence_criterion>
+ <type>DeltaX</type>
+ <norm_type>NORM2</norm_type>
+ <abstol>1.e-10</abstol>
+ </convergence_criterion>
+ <time_discretization>
+ <type>BackwardEuler</type>
+ </time_discretization>
+ <time_stepping>
+ <type>FixedTimeStepping</type>
+ <t_initial> 0.0 </t_initial>
+ <t_end> 86400 </t_end>
+ <timesteps>
+ <pair>
+ <repeat>2</repeat>
+ <delta_t>43200</delta_t>
+ </pair>
+ </timesteps>
+ </time_stepping>
+ </process>
+ </processes>
+ <output>
+ <type>VTK</type>
+ <prefix>part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2</prefix>
+ <suffix>_ts_{:timestep}_t_{:time}</suffix>
+ <timesteps>
+ <pair>
+ <repeat> 1 </repeat>
+ <each_steps> 1 </each_steps>
+ </pair>
+ </timesteps>
+ <variables>
+ <variable> pressure </variable>
+ <variable> v </variable>
+ </variables>
+ </output>
+ </time_loop>
+ <media>
+ <medium id="0">
+ <phases>
+ <phase>
+ <type>AqueousLiquid</type>
+ <properties>
+ <property>
+ <name>viscosity</name>
+ <type>Constant</type>
+ <value> 1.295e-4 </value>
+ </property>
+ <property>
+ <name>density</name>
+ <type>Constant</type>
+ <value> 78.68 </value>
+ </property>
+ </properties>
+ </phase>
+ </phases>
+ <properties>
+ <property>
+ <name>permeability</name>
+ <type>Constant</type>
+ <value>9.2e-12 0 0 0 9.2e-12 0 0 0 9.2e-12</value>
+ </property>
+ <property>
+ <name>reference_temperature</name>
+ <type>Constant</type>
+ <value>293.15</value>
+ </property>
+ <property>
+ <name>porosity</name>
+ <type>Constant</type>
+ <value>1</value>
+ </property>
+ <property>
+ <name>storage</name>
+ <type>Constant</type>
+ <value> 0.00e-10 </value>
+ </property>
+ </properties>
+ </medium>
+ </media>
+ <parameters>
+ <parameter>
+ <name>p0</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>part_of_left_boundary_Dirichlet</name>
+ <type>Constant</type>
+ <value>-1</value>
+ </parameter>
+ <parameter>
+ <name>part_of_right_boundary_Dirichlet</name>
+ <type>Constant</type>
+ <value>-1</value>
+ </parameter>
+ <parameter>
+ <name>constant_porosity_parameter</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>kappa1</name>
+ <type>Constant</type>
+ <values>9.2e-12 0 0 0 9.2e-12 0 0 0 9.2e-12</values>
+ </parameter>
+ <parameter>
+ <name>p_spatial</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>zero</name>
+ <type>Constant</type>
+ <value>0.0</value>
+ </parameter>
+ <parameter>
+ <name>p_Dirichlet_top</name>
+ <type>Constant</type>
+ <value>-0.1</value>
+ </parameter>
+ </parameters>
+ <process_variables>
+ <process_variable>
+ <name>pressure</name>
+ <components>1</components>
+ <order>1</order>
+ <initial_condition>p0</initial_condition>
+ <boundary_conditions>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_top_boundary</mesh>
+ <type>PrimaryVariableConstraintDirichlet</type>
+ <parameter>p_Dirichlet_top</parameter>
+ <threshold_parameter>zero</threshold_parameter>
+ <comparison_operator>greater</comparison_operator>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_left_boundary</mesh>
+ <type>Dirichlet</type>
+ <parameter>part_of_left_boundary_Dirichlet</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_right_boundary</mesh>
+ <type>Dirichlet</type>
+ <parameter>part_of_right_boundary_Dirichlet</parameter>
+ </boundary_condition>
+ </boundary_conditions>
+ </process_variable>
+ </process_variables>
+ <nonlinear_solvers>
+ <nonlinear_solver>
+ <name>basic_picard</name>
+ <type>Picard</type>
+ <max_iter>10</max_iter>
+ <linear_solver>general_linear_solver</linear_solver>
+ </nonlinear_solver>
+ </nonlinear_solvers>
+ <linear_solvers>
+ <linear_solver>
+ <name>general_linear_solver</name>
+ <lis>-i cg -p jacobi -tol 1e-16 -maxiter 10000</lis>
+ <eigen>
+ <solver_type>CG</solver_type>
+ <precon_type>DIAGONAL</precon_type>
+ <max_iteration_step>10000</max_iteration_step>
+ <error_tolerance>1e-20</error_tolerance>
+ </eigen>
+ <petsc>
+ <prefix>lf</prefix>
+ <parameters>-lf_ksp_type cg -lf_pc_type bjacobi -lf_ksp_rtol 1e-16 -lf_ksp_max_it 10000</parameters>
+ </petsc>
+ </linear_solver>
+ </linear_solvers>
+ <test_definition>
+ <vtkdiff>
+ <regex>part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_.*.vtu</regex>
+ <field>pressure</field>
+ <absolute_tolerance>1e-15</absolute_tolerance>
+ <relative_tolerance>1e-14</relative_tolerance>
+ </vtkdiff>
+ </test_definition>
+</OpenGeoSysProject>
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_3.prj b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_3.prj
new file mode 100644
index 00000000000..d2e2c93429c
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_Dirichlet_Dirichlet_3.prj
@@ -0,0 +1,213 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProject>
+ <meshes>
+ <mesh>cuboid_1x1x1_hex_1000.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu</mesh>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu</mesh>
+ </meshes>
+ <processes>
+ <process>
+ <name>LiquidFlow</name>
+ <type>LIQUID_FLOW</type>
+ <integration_order>2</integration_order>
+ <darcy_gravity>
+ <!-- axis_id: 0, 1, or the dimension of space minus one -->
+ <axis_id>0</axis_id>
+ <!-- g>=0. g=0: non gravity term -->
+ <g>0.</g>
+ </darcy_gravity>
+ <process_variables>
+ <process_variable>pressure</process_variable>
+ </process_variables>
+ <secondary_variables>
+ <secondary_variable internal_name="darcy_velocity" output_name="v"/>
+ </secondary_variables>
+ </process>
+ </processes>
+ <time_loop>
+ <processes>
+ <process ref="LiquidFlow">
+ <nonlinear_solver>basic_picard</nonlinear_solver>
+ <convergence_criterion>
+ <type>DeltaX</type>
+ <norm_type>NORM2</norm_type>
+ <abstol>1.e-10</abstol>
+ </convergence_criterion>
+ <time_discretization>
+ <type>BackwardEuler</type>
+ </time_discretization>
+ <time_stepping>
+ <type>FixedTimeStepping</type>
+ <t_initial> 0.0 </t_initial>
+ <t_end> 86400 </t_end>
+ <timesteps>
+ <pair>
+ <repeat>2</repeat>
+ <delta_t>43200</delta_t>
+ </pair>
+ </timesteps>
+ </time_stepping>
+ </process>
+ </processes>
+ <output>
+ <type>VTK</type>
+ <prefix>part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3</prefix>
+ <suffix>_ts_{:timestep}_t_{:time}</suffix>
+ <timesteps>
+ <pair>
+ <repeat> 1 </repeat>
+ <each_steps> 1 </each_steps>
+ </pair>
+ </timesteps>
+ <variables>
+ <variable> pressure </variable>
+ <variable> v </variable>
+ </variables>
+ </output>
+ </time_loop>
+ <media>
+ <medium id="0">
+ <phases>
+ <phase>
+ <type>AqueousLiquid</type>
+ <properties>
+ <property>
+ <name>viscosity</name>
+ <type>Constant</type>
+ <value> 1.295e-4 </value>
+ </property>
+ <property>
+ <name>density</name>
+ <type>Constant</type>
+ <value> 78.68 </value>
+ </property>
+ </properties>
+ </phase>
+ </phases>
+ <properties>
+ <property>
+ <name>permeability</name>
+ <type>Constant</type>
+ <value>9.2e-12 0 0 0 9.2e-12 0 0 0 9.2e-12</value>
+ </property>
+ <property>
+ <name>reference_temperature</name>
+ <type>Constant</type>
+ <value>293.15</value>
+ </property>
+ <property>
+ <name>porosity</name>
+ <type>Constant</type>
+ <value>1</value>
+ </property>
+ <property>
+ <name>storage</name>
+ <type>Constant</type>
+ <value> 0.00e-10 </value>
+ </property>
+ </properties>
+ </medium>
+ </media>
+ <parameters>
+ <parameter>
+ <name>p0</name>
+ <type>Constant</type>
+ <value>-1</value>
+ </parameter>
+ <parameter>
+ <name>part_of_left_boundary_Dirichlet</name>
+ <type>Constant</type>
+ <value>-1</value>
+ </parameter>
+ <parameter>
+ <name>part_of_right_boundary_Dirichlet</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>constant_porosity_parameter</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>kappa1</name>
+ <type>Constant</type>
+ <values>9.2e-12 0 0 0 9.2e-12 0 0 0 9.2e-12</values>
+ </parameter>
+ <parameter>
+ <name>p_spatial</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>zero</name>
+ <type>Constant</type>
+ <value>0.0</value>
+ </parameter>
+ <parameter>
+ <name>p_Dirichlet_top</name>
+ <type>Constant</type>
+ <value>-0.1</value>
+ </parameter>
+ </parameters>
+ <process_variables>
+ <process_variable>
+ <name>pressure</name>
+ <components>1</components>
+ <order>1</order>
+ <initial_condition>p0</initial_condition>
+ <boundary_conditions>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_top_boundary</mesh>
+ <type>PrimaryVariableConstraintDirichlet</type>
+ <parameter>p_Dirichlet_top</parameter>
+ <threshold_parameter>zero</threshold_parameter>
+ <comparison_operator>greater</comparison_operator>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_left_boundary</mesh>
+ <type>Dirichlet</type>
+ <parameter>part_of_left_boundary_Dirichlet</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>cuboid_1x1x1_hex_1000_large_part_of_right_boundary</mesh>
+ <type>Dirichlet</type>
+ <parameter>part_of_right_boundary_Dirichlet</parameter>
+ </boundary_condition>
+ </boundary_conditions>
+ </process_variable>
+ </process_variables>
+ <nonlinear_solvers>
+ <nonlinear_solver>
+ <name>basic_picard</name>
+ <type>Picard</type>
+ <max_iter>10</max_iter>
+ <linear_solver>general_linear_solver</linear_solver>
+ </nonlinear_solver>
+ </nonlinear_solvers>
+ <linear_solvers>
+ <linear_solver>
+ <name>general_linear_solver</name>
+ <lis>-i cg -p jacobi -tol 1e-16 -maxiter 10000</lis>
+ <eigen>
+ <solver_type>CG</solver_type>
+ <precon_type>DIAGONAL</precon_type>
+ <max_iteration_step>10000</max_iteration_step>
+ <error_tolerance>1e-20</error_tolerance>
+ </eigen>
+ <petsc>
+ <prefix>lf</prefix>
+ <parameters>-lf_ksp_type cg -lf_pc_type bjacobi -lf_ksp_rtol 1e-16 -lf_ksp_max_it 10000</parameters>
+ </petsc>
+ </linear_solver>
+ </linear_solvers>
+ <test_definition>
+ <vtkdiff>
+ <regex>part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_.*.vtu</regex>
+ <field>pressure</field>
+ <absolute_tolerance>1e-15</absolute_tolerance>
+ <relative_tolerance>1e-14</relative_tolerance>
+ </vtkdiff>
+ </test_definition>
+</OpenGeoSysProject>
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_entire_boundary.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_entire_boundary.vtu
new file mode 100644
index 00000000000..ec442db0d00
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_entire_boundary.vtu
@@ -0,0 +1,44 @@
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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu
new file mode 100644
index 00000000000..8b65fbb6bc0
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_left_boundary.vtu
@@ -0,0 +1,25 @@
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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu
new file mode 100644
index 00000000000..7e8cbc1932e
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_right_boundary.vtu
@@ -0,0 +1,25 @@
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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu
new file mode 100644
index 00000000000..94912afa866
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/cuboid_1x1x1_hex_1000_large_part_of_top_boundary.vtu
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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_1_t_43200.000000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_1_t_43200.000000.vtu
new file mode 100644
index 00000000000..c9ca4f7dafe
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_1_t_43200.000000.vtu
@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
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+ <FieldData>
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+ <DataArray type="Float64" Name="ic_1" format="appended" RangeMin="1" RangeMax="1" offset="160" />
+ <DataArray type="Float64" Name="ic_minus_1" format="appended" RangeMin="-1" RangeMax="-1" offset="244" />
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+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.7320508076" offset="42692" />
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+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="47504" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="59284" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="60984" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
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GQrwDbNcW/tdLa4LZZypv9lxJBDgZpqak6IiK/GOHKZ90cPfz6PVEtiT0OG09uZ/LF8deuJgNJ3rCh7upa19sEsGTu0WAn+QKcpyCDC/tNJDed8Ox84EffuRkG9wdbwo+bpev5HBZwb+HNemsfHGopaYyOmZEBir3Jjtzi7dKJSvuS80NejgsG6X55xkFTFOnfqdhOPB5TR/0ng3DbyMMe3JyLKFiW8vnnEFr0Ip/vLKjJRXZ7FJ3s/fY49AfoRzzL2QUP5yPCo91gfxL3bZMTAs5jUIKjrCag0+6vhD94UhsDuLqnjriC8/9p3p5vxNBdt372TeBE8g4F/VDYc4ReCZaDHObXGEYEzK6wpMwMjE9I9/JAiLSJa74+Hgib3/R80mJYHg21DgCL31xse6AWmRUBJTRprAIF6dg86qx2z6KL+47usrwSTYESm4JyGwGq8Hyjzn6hGPBcPHPkdyeh7ZQQT7IvicqBO/QhRndz/aHV0L8cXQ+jnBLZ6rtppcLJpYl5g8xaWHZ0s9uajd3+MlU+0J3NAxPL7+g+QtknEtNeE/pCMYJHs13JYoJMJqdQn4iqgvFTh0zk78Tsfj2rAjzJTOMOW5tdlAiGsL5lYyGG7Wx87qcyVWpUKTvs+Id9bKC+F2vebZfSQBf6pm8a24eGHZP/HCzvx+6POC7cSLZHmUTM53XXxtt9Q1nXuFbN6jki84eVwvHxAzTMfVEdzB2u902cN4TVhdcdq0G88D7kZPtqktEvE73d8jqZQBOM9BlvPqSAL+HBeapk1PQpIo/PJouHocsXCQecZPwjSdBlnpXEkRdNqhSL4iCOzqfrpAW/XA+cHfa3W9b88fKmtnGGQF81b4KvTvSMMY29Ld+kw3+eO00bm/ggY1X8mvrD5/D728SeN+XxuIZzkBFAS0KyhTuUHpxywiMn623pPS4AP+4z8N7DCaY4nOIvd40HsXXc2cvUmkAU9eAISmVG+3Pfap59CoZylYenfA6S8CN6rzGmXNu8OONtq+Qchxm0rxWL9uvAZZA6lRJDIYjwkdzHOv9odn8wsN12wiIN2cX23lIEIOqmjMT9+Vg3ynXh4rJIeg3//j2qQQfrPawZBNoC8LOAY0PqRaOqNQYZMK6jwg64qN5fyPSkVq47/VtLlNsiItz61kzA6qjz1+Sz7ghp7ygojStMxY6tInAGW1gE3jr73bPB6EtlX6ZLRgTb1180TJLggYRw1GeoBiMuiPIVnrNH3XDZKKK7rNgX33loXVrIuaeeqZ4jc4KdZ1gd5tZAEzJ7frQ8NIcqB3CHJtZNTGedurn9Bg7hLBdaDHrU4E5M+49uF0VW4Y4NTySOFAwpLKd6r4N1EGc0zdaJ1DL0edO5pfF3Tz6gwHy2uBIosn52+CNT/SeT15hDMGpwweNj/4jY171i4aP10moVPyvj1ykiZe/iPrklrljw0Qtv8dlWyimH609WkpGroE/6lPJFPxlxi2qE0zGARG5iYTAKEjPY9/xrOQEyukw/KjTCcUPBe+qTWuJUJ587JPvDxWw+y4wfKbZE3Y2xiWe3E7CytCJpsDMrfPa/MFBeEURNsbG12S3eUNWyUvfWWMHtOWMLQmVPY56xsxSu+/7QIWog9rBMkco8f933zzXG4Z/limevysKyRa0+51uKcIdmlRvVnoirkwsoMoOB+Aynt33IzYaNBoN3I4cdQNRL2ph4VcAs1Q7Np96OOBSwBlSWORJdCih3eYy4YPP/AlRSlV2IMiT92STxRHkmoIoMm5h+PlvqKrUFzc4KJB0zc7GBvoaffqnagJww7KuKaPEEDhNnFx7fZ3w4vtgtWvDftBJUL9wcr8qpHManFD/pIGkuRDDrHg74GOml7x/0w6VKs7eyNslhYOvD3LcDWGHlHO7tcWENbB/U+dy8Vl7lJOnW/uT5wZqVVYv91JcYLgniisijwB+evc2q7tCwaeBIUE42R8lOW6rPX5lCqzSr3fFSnmCf3F5xPwsGSKrR0xJfZao7zTaFaLihGqzR+29QmQhv7k+/If5Foebiry2Zw5F3m10NV3+jkh/lM2gj2SKVLKnbpilVCmRzui9W99FwlMtYubDzu6oE6P125vVBb1Ggo3HTLyggUn962HrEKx7rzWkWZyKdV82d1ps6oDiN4U641cUSJ2r++4+4QvP8m++LL/sjMxOXrG/QnzxxLtCn6ibLjDrSRUfcIIEGjXdh3s3yLg3RI+tyVkDvBzSgjOFdCDb9WpCwLIxbDea9mzm2QdrD2dDL371AU+b4hInHQ/QuPL81WpkKNg4SwTkOxJwXuyyVUEgBY8vMDrxrwbC/WC5RWMnP7y895qW/4YPru15y3d5dxA+i91dkrdLB80Ubhmo33HHom/ndsyLuGMbWfR765wGvry/9Lb3iyuuvd7j6OiniUR/1r5aZ1cwKrvXkx1shz1e4yyC1b6oYcV/RYDsgXdOgDHtSzt0lWfKiWGNR8qBjjT95+rQ4ncyKsPkJJ45iJOO+5NA7X/5NTX9XkltdzgqNPmecKazh+/qZa1/i4lwUCaelnpbDLSy5wT/OC2Dx0QjN3iGtvxJHN6J/gzCMq2TY5x/VFES/mr7Sajh5d6DFtt7KfCX1vq8ypgR0hVVmM4sWUNclgOE7jUHv2jvdobvHlAz/topadwNPw85j1LHeEKlxor4OUNDCOEs3X/OwBtz3pq/csj0gsz0qeAwYx8c385WdPiuDIp8+KslPBcB5sd9pWlLzHCfmDP73Z860Pz5up8VDxFbStt1GVIt0VAzhY9B2Q0YV5/6W6uGgffXxAPRG+GowSR8KPuVAfym67W66++DAS6hZgbtsbA6Ck7HA9UhlK755Ck3P/w7cTHmjSkFzgU8cXj7zhSG3PX2XH7pimcTMuhllRRxOMvgbX/FcbQfKP6dX+IEZ7aTH4isWuK2Db7jh7/qYRN502aJzgBWzF5Oy5cFwHkZ6X9vQzTg+imq+aDdMaiiOyBz9LYlSq6MtTP+tASbX2TK8p4QZDiXGrjbfsvT/vM+a3gfEfi9kpOMVPN1M8KRlnDuVucfFnoy2I4beWUetkI618cP73x1BuPYrLHdl70h28iRaUJWBhoZDmjtu+eNWY+V+tSjFaGfZkx16koQatwcC9a9dAYlacU7ly0soVE/3uG0vDPmXtK9vHQ+DdYsAs3/5utgmGhq6zFNWzB7OMWcNGEN3+f6ZOuIdjiZ+vggqzcFnmmKhQ98ccF4R9NHXJVEPFegfp6FYoHTTRegM0EGSoaOcwbqOCLt44BXJf3msL7TTCZsuxXMaAkO1tpS4Eh5B4P4TQpmRmQ+3f+cAktHrhln5hjg+Vt2eVI90nibTGViR2MNbjpFofsiT4GtxNdrTInOKG659ljpkBuSGMePiaX7odP/P5cIbF7E1Q86+PGrQG3VZ19oECTdbrx2AoRuRFta84bglXAPt/cVIZgeqBbLoGwNs617o+wyktFxvH1gctgCtIS8LlQq2iLbHM830qUt/3zn/GCp1wIDizUNg2n0IL22VtbprSPUqshP36oPQrUYOpVoCgGYbtcqxFfZ4K82w8NWw0E4fOxMKPNNC6iiT0q9URsBiXE/Ew2bFKD2Ks9F4ogbfjGmV803DIP4M91nI1hEgPBbe34m1ws03Pruvom3xT5G2W1rwbZYpvZKJbzAD1NPuBj8lPbGaomrO/dJhGEr6xnj08skSI9ukktWsUZm1+YbyVxmuJ37VXwjoxf2m/8131WmiYfGDs8c1rBAgavVhFzdUBjLke01Sg9FH6mf/SE/CSjb6Sm4MeePQ3vfNVDN+ODcy08bitv24FqukGx8mDMeGjzvaxKmBhG/Hj3/t6CBVExV/zyph5VUBwg7xORtUPS/fYUyXt5OzDjd4ody7F2McXu9wbxam+1XNgW+ig7TfOf3w8LY3iqf8QCwJcY+9H4jjLSOZHc1DzKW+Z7vP7xdAs11KX6Pz8fiwQHlcToaL8i69rLjDosFrtwP3diby4qNCuJSRhshEE43zp/5JgCMJQKveaEWepWgGKZpYF1U6dWHYnaQ/vuVaMVxV2AqM3p50J6MtLq5Y/MdnjjTcemR4RPnLcR+/ZvI74XVH1l+xBa74q+sMrfEBF20D8tCk3wvlPxyufCgUjwOWLGMqq7HgzFF2WaxxAX5vfv382yzA60Lf4cnNqSB2le5l4+JgA3aL8I1CiKgga+vSW/AGzTXfMcy5MKxQeWMbB1ZFZmzq6gKn2TDngRGmp0kV3wv9cCltD4Um66mSPDUbnkis5X8rS/BcNKBPWH7e394odUWRVXngKTywBlOghm6Uf8sUfHyhezeBL+FjwSY+vrZpIwvGFV1nLzZuC1A7ju3IkdTNND/x1vC6HGzYqYt0R40rZq1+Mp8Ubz9caBlOgEaV6ebvPh8sezJru9F3AlgOuzcdO1OArIdmz4q7aiJps0l3bs+ENHQZt0modsfeQYjv8/ujIViljhjYf0MsEm6SngY5oi58zOT1uRgtL9R+rO8IRqDsm4c8J4IxkcTH/YRTnsjefNi9lkBAazfUbnUn0zEVWXjjBhKIGjl6Nxb6ogH6Zu7gsR2RuOp5bDEYjc36KPnubP/YzImMd2rXyp0x3PD7nteCx+A71ZZnTcS4kHnxZzh9jEn2EG4pMjZbgdK/pL8FB97VFYszH5URIGIQJapqybe8Ff96/x7l2gYJ6+0Fu1LAI16kvTlVH/cDNH6p3o0DjOG3/WM7bBGlxrHLvETAej1yamrvzwLXo+Gt7YbxmK4pU8pq6QvVHYPd2bsoyD32Y60pEt6GJboMn3OxwwFDiwyzfGEIb8aQ+QvVytcUbqldcRQE/aZH3G+u+mPNfzxZ4T4LJFDRSTT5jkZrMSyvhnlUGDqqdkFbm1r4Oi0rnqxyg11WWfu0G0zB83YCtan9RpoTjV6geuyIxjve80r7WEH0/bVXwq5PYD07nxJ+bw/UBUt0+9+C1ultLIg1uAOEo8Nm7t+WcI3p22RMdoayB38W4/3li0ON7zcTiXGjBaXhtxu8LjB4pkyRmJwAJi2DCQ1K9EAA/neNrcHrmgeQfV1mscZpYO/NEwsuuIn2/acSz98gduR/0zmG38ouGBQfmUoBs/dkc+iviyNKtedVzgyPMAt/Ze6Ia0fnnwx2/cxMRRzSff/3XFVBhWrPQNBq+FQva1c/D31MXBLHTj847k99H/sd1uLM4Vv3AVZ77qc4MWk+iPBa7bwZH8/mUvZFfquNH9M3B+EzRY1sX1kUdTffn2w3JQAMvRLoC7iA6P9wtvclWSgYSZPXVTWEvs/2jR3ENyhtqhlR842dezV7u+6Z2EH9Ec4zlU0bHHZLFfz4+3q8Lbt2eOmtw7Q29ve6E7tBH0tCycc38jCVw3mjwEdTvi77+L5JxMk8E0P6XLe4gOPEadkyY92qGfwsme8PhgDj+O5jF0ULLoXTFbvcsPkhkpBEw054L5p3cbwLxSWSe1HeqYi8VpARZvOdQLYvTowNvtEDzTKp0TMvwSBPY+FzKSqOWzuyUyVmDJAoSiZptdd+yF/rxacVQzCu72v5pQcvXHD4U/sSrwteKk60r4odYPQ7gKdhLde2FgbHVlkkQDqISr8m51uyDLdeMT5MBGKDrHq7bLf6v17kRkb44fw6PbmEIk4Mqq1/N9+ZqKRc25yxHTDCTofyfNwSUagJ5dVz9B9b+A2PvayYMQH0vz57slv2GLAX9kniyZxqOd6fe/anBrG+8l6X0qabCT1paVmDoahqfeg/xVLaqS3/OX5ytEVnqcdPDxhr4qnTdSWRjrNkTJ/Z0VbKh4d601tm02CkOn/vw/NRunlprymwOx39KbJSyWguc5PV8enhrvizxtTx5qA3FBXC/UtZzgmIaatb+MNuYw3Kir9o7FX78ux+HF7CBKrlOe1tYX5dysgYOmFf7N2/j3baQEl0S8uDkW6w6+xT0fuEl3xd3clqdTeHUZaGU9r7bTAuL6x0RALP9htkbg3tdobHo9KVsT4EWDBIOJSqg4R/3bxJjeuGmDcZ60KfzpNfBG7EWF8XhNnpG8pDroHotaxVTPm90pYMqw6S3xhiGdj40U6Os1w/2uRf23fiVCtLClEI2eJ5bqcbolFJIwYuFKy47IdHAhH/d4PzsgyOKytaUzBv1fffXZ2OAm2MlldP59ZQoUMVYVYfwQ8Hhv89E1NHK0lO7loRDUxgdeJdWxYH6iSTqeeY/7TWPy47pqxjzcq8XeU+Ev4gKbUD/9QPWuM4z9ZZhLhganOnetyf0KBfjKs/4sXgOCsi/7bj/rYOy2p3sdhho78M5Tpb5oodJKlJGfKAQ2nh+qq79nDET85IqqQ0FvLoojv8pZXmhlcK0wkwou22wt0DkbIVvHth+gtJ4ihdfu93SMMWV0rv7yuNIeiW2+3nc3jgQabTqZ5eQ/EDP/UlD9m8HjP9q4mEQrwWpptpIsRkfyn/CHm0eJRaHrD3G+IU3uYL8jfTELD2QzW3y+NwUGXeJtIKwrG+nKBGWr8cKXglEFbnznINmVRmqRdMZ3GdqyomATlxucFaGJtQVFP3KnlQTCyvTN25jhJACquPzJmqj+UvoRTdpuxBeFzdzup7yqWwO11Pnd0igtL1310uG+qQS2vnUZcgBrSmDIsLz8wRfN3Nv6vRD3gHKV90c7bDsjH8/8JZx4H0r/9FZlu+pj/Py+vdGJRp5M0QrvYa3eesnjBXxOp73NXzdB1JP3KnQp//JF046qpmysqBawojk+7Y4g18DjNe8Dy82P3O5hkoHBy8pzliwAk7Wk5dVrrKAQFNPlu5Dnj3rqHJ4jaFDxxwzAhpv8oxGqLLDqUmYD5p5TBsw7JYJgO31M+62D99PYaHwkSDOwGspu2JbRINVhrLXLhbw8X1ikRbxze95CnR54J5WNLzgnes8B/BY6CDcuO8Or3mpCEBxkExlni7pNtYJRvxlPIzAH3PYribB7kBYmmkHvXntrAVyfqF+95KbBtk6uJlU4Rl44cqrfb8qTpbp2WZQZ3rLHk98uz0wZrzu7N0TfOIA82oa+fueHpho+C2mWyMDvuHGcvqot7DV12bLASUdTHYWmHmzl+j5X2bdWyBk6dpiPV065wWcIkNauOjAROGvn7IQBl4nbbLq4HoTYL28hbiVMY5GXgPCBmBUHP4+aqrdSBr59tqkBYDWwlJULqEyzRlaNs88qW57xh7HowwmcIscEfVU/kBGPqpTqJX04eeKiVvfXiuDcMsPfd2enpDH4Nh8vFHxLwll6sVY2JHyxFUXnFXd/i7dPqZUYl/nB6jCoo3t0bK/wZcgp/uUIw23PpmD/R2OpzTird1Qm8jo2U7SYTYaP6u8EpEWdMNb4tF9EVBNUThGvU7frAe8976LssYPKl8ouM6lpYFsVYSy9pjp1OS2untHWhwm6jeUnQDhv3stG0NCpAmk7QFx71CKxVHZWqcw/B+MMqz34zBmBGItXKAq8bNklkiQUpRSLBV99LsmKhkbnhqvbGPROwMNj94RCdL76q23thV6Qh0srkXDWTd0H9F58STQJcwOzGJxHhR1v9M5Xr2XPIGWrsBt6ugS3Qx50pPvrJFvVPKMuwhluACl1hULNfMCxJmDSq+SmiYVXvb1YJaSSx1C7rekXBQ9meQwL5QVi+j+54sQUBdhXKKTXTO+LbXMavVXcioPD3RfMYsh1c2FTZeXC3P8bkymtLORGwbVVwc5rPDR4l5R8p2eGEsW4fzq0lG0D+h+5MTks7THz07Fp4thd+OU1ZSuANw2HqkuzLrQSkOZi3zYdCxpb4tmcTEyyQuE2FX188FOqOCLCqNUvhQx6/bL8t3qXQjIoNFLhAH12luvRpDsz8cYZ0xzQQvaoNHhCOAbYqZQY3frSEke+G29if2sFS4YLIty4vmP98PD/maxAkiNP4u/X7Ycxpl2MBRimYHjZ0PTNAFaYmfVMN8mLA9um5/SPdASD5eIqdv5QEpFPqFwZyT2PvRIRTNUcSpD+9trcl0xe6MlqBxkYYuniOhOr+UAW2P2SFrA0JmErusno44Ia8ous2s81+wDSWoOdi7o+9kQPJ9+dCwHZ7/Y/br30w7YmpdM2UD2qvu5wsSYrAu7uSnyiJ2KLmnq6W6w9IwIC8n4cLyTB3qdCSeHk/LjDtfCuY6Ahvv+z0cGqJgVMHhEUXWSiY+vJnN9kiGQg/omyvvw2BFqr8Q2OmGtBr55Df0RwOFPFdDqKdvBBhud6T7aGJIhFs5Il8bcxTO5v2QsYf06+ee7PP5DgEf7lR0c4VBvUZsyPmH8Jg4FUsf06VDjw7H/tVKDsIPpiEN37alYQH2p78oJe2hYtxpZW2Yx5bfcU1JrjDCt4/EBXUeU0GoYHerkPrdqjD/njKDrLR3PhIgcdMJKSEDXQYsSSgke/rKRdTU6iLUC16xmSGT+SKh640mcHgr9BqFz4b0Ju75dg14gdrpVIhRp+IGObXYFu7yw1uRdz2MvrkhZv6qccyopOwZcTmR7K3B5pbxw/Wu5NgtPGxtXGaH1Skzx0aN/GAufk9cH1aEkLlqLl+R1uBRfhFsfeSRIhiiFRxtyJCOkMV3eiQA0yZ7rQilXjgjXW7qrn97qjwCadv/989kqrPcvQsnLiXm/lSW5UHSOmLv+Y97QXbt7zwrQAZt/mdqV16bYEKKJOfacKOf91jTHcGW6Bl92r+v85QCLmxU76JzgtN7746vOdbGMrTk4b3qJFx9ay2OuOiPLIwuxm1LuijUb1S9q6P5jDPoWG5z80HigImhX63bXFDrsm/NSsCrpgOUDOFeqCE4kz3zmoLXDzRpLmZ5wlv+F8WeoyewQi5rj31h8zh4NHN1pBlJxCo1WIft0uG3ee4GB/tNwKn9zI3OyPtYeF8/GtlJk04ZjP0tavYBwmTGRo2rz1xqNJvseCML8aoXjh+leSDI45f9t+bc4HHXj97921597890Y72jaaocvXJz2UqexyYnfd/W0WE+JsM4yzKzKhZEWD/qMINHjbavRwWl0X247jswhWJ2kUH0mOf8sH5WpFrjQXHoFkg+8TJmzagb2W1EFVojZUp4/TFR/3wH+tehp3bDODyf/wghWy3Rsv8i49A/JsM0X3VHxrHRlubG6rVQHxC1XtWxQr57h2IkPANwS9BTUIar/UhL5lRauePZLT8a7PRmiePxcxDFYzGVsCbBVMCeSQUL9NLCuNzQnn5/S7mr11xxSPWetTeCml/p2kJP0vCsz8lc1qPkbF2MDNy5W4wxFc9/tc7TY2nTo4smh0j4sCJYv6PLl6g8CCqCZkt0P7Fb/o7g+pQ6oymGxokfH7Nl0aqUxu4e+4kKTZ7493s8lSRQ75gn6HMvLDDHFr22vdGPCdC0MU9dpmtAdCvRdv6nUcVAx2TxC0hCAucPmTYdTshX22x2TMLLcw+Yu3G30XG8wvFD0P/beXUVxktXpFjEM9kPlKRMNAoSFHfY8zhg9d2JIs83k5GmXvNCiM2RKy/+ry80dgTbTUNfg7UyeJn9qeDD6f0IfLgsLOhShLe6M1+6lpoBjdTTyx8uCyJalITy+u2hzDilXHPCx9P+DDO+aLvwSFIplw6aLAeBjofRG3F7Fxgni5vZplGH5WuGccXkShQWNLaNJtrjX5NtJ1ft9mCSLWrgdsUGX7Idr+astUDW6Mr/w4QD0NSsYyweLYcnlVvMVD9RQF3N8WmiCAiWtlE+huft8U+ZU+eDmcCLL32MniQ6o6bZrvNK2KJ6DeVEe5wQACVdG5q7l4hge57+0ssQyQ8P7ZZdqvmJA58qz3SPu4DLHyhgxRfItbyuF09sd0Jns/KFbd3mKIGjQTXjq0e/yBj7fGvmhFf5u/htF1yAULH+9Bvr0ig2PY3wmLIFViFi9iomkzx6QInGm6egA+Jrs2fwA2oeLLYjN8S8JPlqWcpUmYQ8fa04OIwOw49HmA9ZR4Cu0OG+lVZfGGww0Dh5rUguJSvvHdzPgALRIJj5nf6wFCyytIB2xOocSd4ITfaBXh9jYfEzvrAxbRzguufnIB3rUW2rSMMcn0VuJRvWeI/V9Gery/1kOoPfnN9bwK3mxyP+X/1wpCcb/VX+GywlTOruDTeHwMY93eM/zLHCPGOB/cpTlBkrHG9tNwe7uRyHb03S8bPKgWtl2Y8IWStoOdIZDjKUg7zWEpGYo8Nr+J2KxPs2/Fq/1qDG2Btc+KJPhKePMjOVX/SBFmSLlwhBlgDrTddiJUDwFq4UJ4ogy68GI2JJ2tpwPH4rJf3rkcDLb/cxuG9RKBqXi9i+6KIAUb9jjskKdCjIMnjFuuBmiUxcTdEIsAYjKlOM1hB3jEu/TeWlpBtx/Ugg90EG3LOitec5Ubm2JYs0cdROGgXbTht6gcNDLPWrO1eGEX/sOJtjg/2ecxen/gbgD3uMlqT5hZ4tbf/y61wE1ArU9szL0gAge0lKm8s7aClaCfvpxFnOM30wP/s1pyu/LNW7SkMROeGHjPTJ+4YNSu6X7TVFauiKX3FginI2WnFUraqB9JtdiYmrrxowCuj/3TOA7gCPj+VanQDtp16Xs4+1jCT/1OwjdoeypSNwoUEAuDebRnTerVQVO11uNR2WQ20OH9/ur+hDjfSefyVwj3A/K4p8/NZb9g5XWsxs5uCy5T6Rx83jWG5lGWj6AYBDXd+ji++ZQ3jtT5VYtf9gT+9Xlf3oiRkTV8fKCyywggPP4Xnb71gx5Gu/spToTCj/v7VryQn2DBpOiZ+2Q8s/tvTH8fqQuujckFucLRMuWI+xR1K/iQIZKb7oEBepaLbEx/0zdNS7fkQBGl3uA7zewfhGyF7qjJJMn44fNaz6J4vhn64ulLn4YeP3+0dvUhlg/TeamJ7d3nC7djbt7WVyHB/70KP72dl2P/8ScxTka1eFHqR8JpDFy6caPtaSeOAusox3K3NB4Fj3yfnJg5JLF0ZYQ/fdEOhh9W+T6g9EMy8Dhs+CIMjgq8fl793g1rGC8ERUT74oHhSxUTBA7ZbaSxf/GCHhvbhV463UpDK+9yOlXwOlH4SVSRdRIF9siwTxzopIPRU4aFS8XYY3d/7io2eDYd+u4V42pDQ8LtX997oYLSkGnupclEcswO8z9fweqG1zsTU60F3TDOpp/iYuiAxvf7RNw0yZq10FHnutMcFtl3XZm5EwIFJO9niRWO0tO5YeUITjLb8+uSjkkJ4crpjm4yUFqi66UQ0awFkMdEo2AZZoPFrLD2w3QBGX7G/+WJ1HP5wxly40K8PtCkrk2ru4RDRtHUKVn1B93G/gqy0Mz6h4dr5rC0Av62n37gw5gvJzv2Ee+/8YDRblaV6fyTM6cQMjlW6gJ/1tfVPF7Y4RMFgbxH1Fu++V/1zM0YarxTeKSn3BZS8v23xdrIZKlH0rveWyuPglHneDK8/iLZ+of+VZI+62xXeXX1OQJYdGu6qV2xQ4UQ1TXxpMHjUUAq+1/rBewfDHilmL6hfImivi+qBiGjg3tpWM2TKevv+hbYqWE8Hpt88FAafZBanJrbloJvPckKaAwHM/52vbeYjoA+HQXNuRhxMSTBoqmzTQs6PWGMTHAbDMqduVpgw48KOknuN+0mQqi3/fi40CBYPWPfeNSaDbqPkp6b6QHSt00l72W0K8bJ2UZfTtri09JncQ8VgYDpNWgzJsgCy6F/JDDobfHMx8mODcCK8O/5Bh3EtAgxWLvxk328B53a+Vo5T3Ooxf/P94Vc9gb5dXF7D0AKG3U4QPSkZQE96WEXLSICWkbxSma5QzPNdXNDN9sRdJZEVjCP+WGCsZ1FKMMErMv53JF0iQPJW0axAhT3EMwSaHY/xwzyxlfwU/gScDnqkbKkoAVXtnQOsuRQc40qKnnZXB6F+puMnfyfAOa76z9wtmmD4pO/7UR5vpHnanOngHQpru96UL+S5YZdm0SMLIRsc+un45MG4Ix7VqPS+PWSMc43Hf3fqGcHIt5HKvB43+KqbR01fkQCVw6v4dd4DFHRbvMny1lB75X2Q2PcIaO1nllS7lYSuktN76IgEFDrNHmflw4mVY36NWT52uBRSMK7Yq4Unku2C7slao0Vy++uh/Rko6PnSnHUzDFXMynvXWMPw9AGzXdRJIdj4Rk6gfNMPNYgVvjcfEXGoLdA/Wc0PuHWdjL68iAG6nyxO7WMGwLRvcupzjgHudnpj63skAuOvHr16fc+DxqMTtxUj6E7hn76MBPc5MqzplZXPxRtB40PKncn7ptiSzudksmqDdaVGn2parCBC+fLejt9END5gPtHaEALMHd0zus/dIdvB0n6Bxh845e909qlt8eR7V+sPx9zggKrDq1EmBbjLoy2c/tYbbus17nas9YWek4LSxXlBSHf+pZWP+VZPcKwdunvNDfvjrTaZogJRmjfvr2VTKGrs/7Wc7+qCX15I8vp1hOCU1cuEsJRwOC1Pe2BizAsmUz51xNb5ofqrJrFwfTJQSzPFsfboIUPB9SUVURKmr2ZN5Gc6Isv6v5XLp4Mwm5mobpANMFfx1tjdmYx8hfOMnTOxmHpjPws1iYxTF8+L+5sQMH5SGpUvmADVEhpXDRniyR8nD54QIuKrdfbbCR99oMWzft19wweHnS83Pr4qgXIXEnMJMq7g6HGDds7PBbvvP/tTyeYD3Dccy5/qKwDl1Vg0N8EcnqoMPNktTAEtrG8sY9WDo23bTgoXWIAVPUPscIsrUEnVxfvNPFYqUm0LdtkQA+oHyYo5qXbwsJqo41BqjjUFdVodqs6gfnf/92kRCkgFlu9sVyTggeT5oxdG9aCF3/JP8/GTkOjz4Zj5cUcYuR8gqX3UHNOfqvuyqvgCY3zNXo5ZW/RfEcn0lfFBXLnKQdfmhfIj/BdtxGOw8pWhJPNdeWTYn0Zp2+MI4tMq3mqxkWi5s/bxj3dHwYIhd2A2KRgJBuNT3Bz26FVrHP4mWhp1K60qFrn9QPaNx+9dUjHwZ/WUc9Q2It74Yx9ZwqoPj94dzP2pHw8F0/yLS+x60IWtdImHpPD+3EWDzw2+cNm2d3x3hSjs3yX0t1DlOAgU1OrdniQhlWky7UhUXiOVhzWRMc0NfrrUOBKVDPFjtrD+nxJ72O05fnXjlhn66M8r3p+3xQTGg+98W8lAjhmif3qbhM5B1jhVF4B/dXnv62iFg8asVc+6+9ZcqElf7Rwk4LjP4/Z5Y3vkjnCPWvPRg19WPzgY+L2wZJ/ute/hduA8vyZKGdGA284dY6HR2jD8+wnna0MJFPjf/jKRaGxcTNaADhGPp1WyFJgcC9925Hc4/BU/erv9nS+kPZMT/mgRB0JSJ2kjeYPAZKIpduNkIDDll0VPXF5QqpO6ojZ8Jhq+pdJeVNWXQa/IpPn1Tnf4zW9Auv1KAZne6l8cYmDC7s+nRx+Qg6Cia1DbfC4U1KLv35lS8ASh4092WTF6QTvNR7eU8iA4lk03YdnnAJ+UT/1EVmd0nQl4ajtABI+5VJeJcH9MiZIbCokOgfZBa+/VnDgo9FPmKBWLxCn/fb3kwzpYqlEiZfPvJPaS9tLVqEUhR+EZX9GfSmhZVvbZa10BVrhKfld9N4UjInrlu1KVkZPw6JaGsiVyPhly+bwYDlaOztMmF0nQSPDqdywmwEf6bvq7C0FwVuJu7TENMtRrhhZLLHmCuFaZ2i8xa5CeZVSiq/QDKpXp0Xd8gSDTcCZasDgSfALeHb9H74SF2R1t7P/0Qav+Dl+3pSCclXW+qUnvAmUO7h6P1WzRXaJ5LHogAu2ePGsZrtLBtQnB9l9VVliuqrT656El0kh2NT0adwPjuY4+tV4CVMoJiotLe2AFv1ZfZIsWqgRd+PPSWB8mfj158ssxAu+3Gu59yWOJBK+FHaNWwtgoGPa0zzYIr2TueM13RQEPSP9SF5rUA7a++frfHH5wdY/Qy7Lz6lBd7nlGbFELbt053E/MCYMHSUn0Gnu8UVgm9cTDR2pw68LvwRM/QyAkseZvcnowav6dMWpxPAW3Yq7VBG0aIq+qjJqsjw0oR10+SxzZylsuuoMiFTYocrpYVFPKFOvcmqI8qgTQNuaSkePsIXhY8EZLKjAI7VVkLtJWe0B7odRdjwlvsJ2THdJ0NMX2vN0fv/NY4bmj74dVSrRhxfuupuqiGaQ90NtxLywY9k7faeBLiEYWl51ySzNGkGmVG8JnoYypWQf3JiyGoKD++7N9YTZY3Peq7ysxGoerIfdwvRdq3GP10vplhRajU56y282BdLYZugXcEdt2Td775YUpZjeq+q65wI5vS+6Hx7a49aap2RVNIXiv/bpgcNUPBJQ5Ds29OgXvVy13JQSHY5XxAytmSQ+04fu5tF0pCArFv8R5TfriBZ96MyP5KOBp1MYaPmuImdL88hoc8O1RpUKQt8H45R0Xag5KYF57SsJ5GT+8ztwhteiQCrTrDYP50+ZoR6pfZnHUxf3995xDnIlwy/JDTmmCJlxPWpA7uj0MuW0Cx+uy9fC2/GT7NoUAFIcdS74/LfFMmH1ZqLgaNl0oPcCuFIM6Iy8ucY7YwLe+dV2LOiKc46cOc3D0RjhmFjV2Twt1Vu486MlwhZOUPrFPfTLwaPXfuYZSY4htXr82GOCGrFzW1aWTdlgn9ei6S/ZWLi07rCktmcB45+GEixJO4Ja7eqmmMQDZ9wTnaHCbo3b6neJ0Hl+I/+9/HyPsravTqRgIAcnl36FeV0Vx4dW0LP9cAMYP+YrfvuECz1PH9ea7raD57eF1gYrj2Dm6nXl/nAwkM/4dW453hNyTsr++enjj1W4vR1FDIsx4aCo7dlEhJ81hjoKfFhBvVfntvO1e+PEYXnQeVILQP8F2C16u+OWKRUtdtT0MBibuWD3qg+P8jdPHJH2AWeuOX3elEcqcZr44rBCL0/k8CtQkI+ilP/ZJep88JiY8n99WHAWDxw+EVcQEQWvIT9bKWhnQ/nD/m+pHG5SKn/VXsiBB+uJX3qdtFviGqMEQ988cdoXnVCgfI0GUs+fXpAkS9Mx3Daamh8I3J84XV7d6TLQ5brRxkwD/JC2ui1MfBxVau3GreDKolRiIWdB4IZPtzenrrOooUO2rsFARC3+8yz3WCr1xaPypiMWiK9yOtN1viKFQMcOd86jSC3R5ttWmeFgCe0H+29V6M2QZdWL8vrmVW6z2G8dfk/AvfYhBWD8Pvpn/lmOesA8nExa48oPI2PNnPfnva31gF+4+lcESh65rWZnXbqbgpquy916XUGDqNTCbHScBd7oB7StTPVAXojI+N+kARRa8HvVBwfAocyz9wgMZPMj1f35hj29SN/ZXaJGwYFP7QX+KGzD7yLDKywVC1ZyCBB1dMCzson0g9TsUpoi7zytcVAKar7mXrbUpyF2RtqDZT4E/h2bD/j6JhAia8yUnN4nw8tLlf65vCZAWcckx6dIp2L6fS7Cq2QQ89q3OWlmfQsi58aV2OQ0Mbl7745yuCul9yiU1qWGIb8wF9ojF43EpU93FeQrS8kmHbz/rDEuFafuWnvlg4PAvf6rZAAz59k79zTMC+HV69DAGyuC5S89GCo/p4abIrT0BP9VR/tvwxoGidFgwNUywbSCChf3EjxeGBmhxva9U1swPWxZC+7pYjuDM1NnWtOvucELePtrBPx4echG63T4GwdD/cvSc2WFi4Q0S7n1nwbEzgQjZFw/fRmUyzBnTceSrJkCLn4fWQ1dO2D1yZ+01twuMdvseH5dLwWVln7UrU3rA9FXT07NUDNrvzx2KcPbEqamfT1oWvOGK9f/NuwQOVXYOl7O54adG1rBURzMYd38as55NwGGFd1Uq+yIhof8oD8gRIOqJktdKsB/m1qjvS3ZJQIKnnu2qNhFXsjeHOBZ08OChjqWneWFwl8NKW/RsAHY/vxT1oC8FHIlXa/4+jcO1sl4pqRMRIK35iUIKzID5rFc6I54k5N84ceeTox4m2IWvC173hh1HUMnupBuUcIfXBZK9IWQmtU1MVgmzrecmeJvlMCA/dv/jcnNo+Tke/yBytFH4WMlgz4tQYL74vezaCwqIbQoeY9TzR85Fz5ulfo5oyh3g7FGoiA/uBYq4WpChpVOgSWDcAl40zOXebwoBJjWJ0qum/sAYGBn1k9YQP8wzJ1yn9YXbLL9ey+VHok3P5CiHSAQYzQuYJngHwn65916Gz7xwz681O5KaBz5b2a54UcoN4ZN5sY6FPQo8fNqUYecLtipLPxO4JMBBIqG+tTZiq68Kwrrn/DC4r/LBxWwSdJqOHlfzCocshR9nmox5ccG2QMJZ0wmuPA2piZ/wA7P/7iM5oGPc1b80QEC/nKqmwTUf0IH25Y27PshHRXP39BkTnDZYVl+94Q+WGiUCef4umFDxkXHfZy/we0wX7XSBgCo3TbPkrusBMXVcReyEEUhujKbuTJSAqwMJPdcP+EPnPscK8/kAUBNfHXvx2h8aemTuMYlzw65b5/dubnnoxNyONLoz3qhfr6JdXuyHawyPb7PqBkLWb2e+a1VBmBY7P0U66AvB/YU/hNY0wMfYQVnknQ8+uWEUuiPIGj7wfPkhs18APDQXyxWEo1CIjvpMdYgrNGveMxuy9gTjXXrjhpsR0M8WGdWxxRPT+haTXL1muOFrqbdT4ijSRP7mjHcjYLnBm8b8syQIKXXdfKkngJHdZLu0MU9oq7e+UHjKHT6e2HiRcNsLxjxE++MTToKq2O5rTOXqGCu7rU37vjmk7r/rOp5KQIeAD4sO1K5Y/13aRknHFhTZRMTmTpwCGi2Rm1QCzijwPLis29wO89TDd1t/1wHeNOEP4hJ8UG4pSFyxMMVLt1In3iQ6o2Qa6w29l05oGs8jpPZxsdH5qZLhqU9hsDeglD7JxgIYuBWpKx+ScWXsw+XQV8aoa2AnsvrPHRWic+M/p0ai0gXumYejplD93/16Ucg8zVR/VtcKGIKV/aNb1ECmmtX12nFd1Lquz3nqfCQkO4Zzai37QbKrRtY5PwJMqF3Yo1EUAhayR5Yb9wSB7lin1SmKE2yyHu3HcDtU8h6ZS9n6rk7/uycpNGDvfOl8MJzyd7+MDSQYyzUICnRQgRLCCtE+wAMohJYF3++uoNvZJ/kvygn2enYXve8LwsaclbEoFW54Lj5+RHlMGj4QLIL2cO+Bd9nq8plxYTAjaHkmVFwJE+PKPTS5fFDlvJrYVVZdWP60TW7dxhoDxGr5c4NjsYvaeeIQdyBs52mfZaacwOWPvzieRZCxxPFCu/ILIiT1blQetVEHw2N1BUVPU+DRr/yFSUZDpHX63a10g4CXXUNsZi2DYMxnJebKPTv8eGoX1TYzH/xW8/7EgywC7Lqj1rOUqAINM8/zT/UyoUjuramv1kSwXzryl/WJNpj/t1exQYnKwHqvQHc04qhxgw9bfk7YReavMsP5t8Zc7Zet8YPzCacAHUXYmBcaS/LUAOPh+pCNJCKUF5wOv2aij7oJTd/M60iQePVvtGqNBT4qS6SN3Mr3nQnx48mHI6CkbqNkKpyARbWjQoNdh6Es2iCwIIqIqv37aszqKRh33tg3vyQI/5pE/FNMNAE/GiazFEjBD6UzY3sjdSC3y44SZWwKms4LKhsfPXFg5NG7tCpu5O9k/fGKkx8TWxaYTzSFwVjc+S+C5wkY0m31dkLWGnKjZ9JXaGOBc2zAPethEJJ0R9zPb3l9i5723oydM0rUo+fzd8e54mnZqnUeah/IKZCTaJQLgWeL/+f1HLjxPkyjy08N/td3eOKZl93M3UDYkI55cKROCvQTsuiEZ/0wcelzgvgtO1B4lNGZ4WoHwmM1X16o2kMTvXeYNCkQHUvdCaNlWvAr1p925H4CDsa30rJsd8G2599rFKsA9jzgzf8hH4l3ryk87eC2hGNVZpNj/o6Y8r2r13ORBN8byTH2d+yBHmStq84Robi1aPLxaiiQFyMvz5BNwZYQ4RyxxWFrU7mPpksloYOD5Q3FLASoxD27M88qw8MDbavNr0zA9CajmQ1DAKrNWLzgjDWHy9uIHgGBkcB2Ojz2UTkBmN9JO+eGuQO7/oUfTLke0HxhjtP8niuI0xO62c1dcdjjmOW38nmlexqZl8K/heJqG82g74A7nCIt+j/S9MR4cerfNiwxYCgrpf73HAfKWQvWWLwJwtbAqICQMkP09N7OdPocAYrbiyxH75hAXVWt3h+yOzbKfbb4fz2dh1/O//f/K0US0qRS0aCp0j5tbe29u7pa19W8urraeydJJQ0zIQlJCB2SQtHQUkkqhNCO0PLr7fO9/f6A1+32uj1f53XO436eZ6g5e6Nl3Wb1u7eIyJjmd+n9vkgotPjdlXXHBELzrqikq2SiWUzV8taTlmBnl2Zbr64PZwLsiueGI0F7zlkiRVcUn3EECtyjBeAOD5PTxDYibCTaXptWDsTPXqbkI02OmBRU3lEYHwji3LZxTH98YUj+FHfxrCtosQeZ+j6IgdQFX/XokQDIszEWqKoDjN1Kd0M9QR8LbSsN3nIG4u2Cnp75kiCYOJ3CZ3PKBdi+9IlRfwTh7t8917xiDRFWHeM9KWbAMpZBRy44BH/3mv31WrUEPpYLur3HY5FjaG1/5y9/0KYbfHiKzgeG47cr9Vf5ooy4Y+8zDy1Itxfc0ytkChK7jNVatgXgLmGfB9KLBMyT/cuyzzsQx8UGjHxeROLSjhzezx/cwb3yhpuUrS/a3zz5l+ilAb5mJBuGCiLUjK8JG2ebwQTym6iu2IKs8kHuSE9fnFVXrHV2MkAZ3WFhhsposE49UjG1fh6zFe81/2abQ15/N8HnjBLiZcZ0XWMa3rlTLHH9tjTaH6rRymbxxfzQpKxOog2s1Gzh9flmBivt7mCMYVCs66v10dwO+u7PsYwIBkF9Cfl5imwI1HOLimZ/IiBz1bmVwEdBYKD8qHhbfCg+ObA21XnIC1k82hL0c9wxMKr/2jxfGPIM37n1hqCIUdlctJgUEs64YIuxgBNa0L9VIzJbYhopOfqNkBxoUEIZF2IisW6m0vP20TAo6n6dZDQsinXD5LZgEW+kxWw9EjtFguHzNX58u4IxTvH+z4b4AKhnETFZY1rnmpN9wyE3uWDScm1U4KMRtH22uepjHA1bcuf5y9yC8HZwMywPhAEltWDC8HoGLk9GZlzXIsEfP24T4dtUOHdFxb6oLw/SZBX5xFIpEGLGH72tk4CeuSEfdxhGQU4G05W6al0oai20aCs2RtdXZTwRNtHw4fvRPT+PBoD8wLM6hs9UbDrE19jPnoy6YlwPTxY7gPH/6lfxra0z98qlUHCr6L+8QzUY2lcfrFTbKADFLesVzJHQ7bL1Xfqdfqgef3Qf8AVDAVGC3d09GkQyFyOX+rRhitfMm9WMApzbT767Ok/C/vPHVdpFQvFh5shc87wVBHUxLIebeCHlnVbxITlJqBQQtTCc9oSUMY9Vvu1c+C3+xw2lJW+kc064830+AsgSHtEpubbg6Cp9ajmMBkU9V43pjcJgdxeDpykhBrvc83OHxRyx9sXDALlqOyg+1F1M0gnELL0A66kiKtAU6ivUuWio7GFgl2KdhDfcZtp+e4WDpmVSUQNTPHZdyHavOBEJW1Tx6DkGIux5lLTbPJyARx9+kU5V0sXTF4LCHR5445aX/j/zfSnwqeNykBrBGVTcvmYLKnlCX9g5Tb8bUSArfE+te0cuToSMfq9Ti8TFgufHB/b91y/Q85d9PV5uMneW7M8gQ+3M2RVHS2/wVWU9kDwRjFvWMm+4cftixXyAnZJzMLDLVnQ9XvLER5+t5eALAeVdbile1yOC4gE5UZqLKVYyf7Sv2xkEQY5C8Slf3eHMFOmzXYMvjrIuLbVWhgJhuPjrxCYWvGtML+5jGYP3A8aIBinJcFJ4e87BA1ZAPRD3eyDKDhsNEi5KVhhh15Orow1dBLyu/SGJW9obA8+cfVBfI407oy4w8x4Nwf3CQ3OdO/mw/fFDtxlNfyjIotOUfEZCi43O7gQdK+jk385eeV8FVhIbQ2/tTce0PTau95/GYAsfdzJb9rqufg1pE1dV4XHzGE1dQxb3nk6d3r5igwl3w/eXuTnCxu9oP1dARG2S4LHO2g/1n8nWnyJ202CvkttB8mMdlPm/etHbO44yFxQFwWgh17HGZ4dxbWJXZbqAPlYt8A2FiB1CFQbN4GBzbihJY1Jon3GA+43cVf619mB9rUM5SHldH5Lqn6u85AX+BZsK2QUlGI1+7hkcaw0WJpXS4bKhQPlTkUjHG468rk2fPyYH4dxpJR2PJjJsbBGfTOZwxrHbMW8zmjfgdh+tOG15E6gtKyclqLvjzclayU32vsjV+ZrCsTkMyzZeoz+0LwFT9hvkDFo54672+5xLbEGQVJsd2pxfq8YaxJEq89MMC3XbT4l5WMDjRebT/eVEIHnLSt0X0IZuEb0LuYqhGCa0IacnZZ2jBofPbo93hkCB+tPbXcLg4ZFPPz48pIDUFxWcSSHA8LvBDQJ87tBfXmrkmO8MBrXdJq0NFlglcVL4+xsCrna1KAaL8ELdHbmKNwQTWM4ceCft5QMBDseVN2xxQK789mZXfy3Mk2JX+J3sCuxfn1TqZHhjeZpI2HNBb8hM3fdKdUMoBCdG9byRC8K7nXfzNzVSwU7jtJL0dWMQoLoWTbUH4HubSnajNRNkt9btTcz0xbq15wPbZ/zwTbD6id1XTGA444D99mkfbCUvXxqI1YC4v+fdbxeqwKDkqjpdkAGO9bZfeegbAH1593xztYj4rel8eZLhIWRUueXxazQaLHlkOst/BQM987FvIuucOlb0Y+9SqQRoL14ED1SB33oX3ZhY1/30LV6dESUCJu/UtyhVsgSZIwobUokBsLwh/ah9nzWs1cqOn3gaAnc69tx6ZOeNKuxCS35CjnAucE6nbTEYjpq+GCrgdoL7QSadlp8kUZSXLoiu2BZyqx3MTlfZgvvrYU43xxCsX2M43mDlAI2yxscPXPLBHnsDIfr7EfjBJ2S5+K4u9Lz6mDmxwRfPmViyZWRFoinLhzE+NgugKh/M3LHZAKaLZT7kHSAhXdTfJTL/NtQzzPBKrDYH7x2BB2TUoiFpD6v2TTFX2Ot5ddzD6zCqF13tI8lGgkLh/dNrwwawX3+HZcd5P+Ss5NOf5bCHc7zfRdU4/UCW7Z3WqQUyfl/aKjUjEAN0dqFqbB3K2FdbvmOnqxqaF6y5ONYS4Sors8yf09YgHmto9ciJBtnvOU5ZpZLxd9gQ3dAFWSx52zPyOCMErjy67X/aioqNatL+K/eoUBUn1+3lEYlVMf4lzJnBmDSlle8qexijRxiGmc46Q/0t8QxiBBVvKgfsOd7vhVMrqpdWOcj49D4Xc/OROIzb1pP1fnYnNGLujn2NDjBvuvHSyWdkeNL3OP+SlS12yRnZn5HyxYO3Zhm0tWkworO9nV7UBj6WyjznKiKC2EjeZlvDRJjZoR121iYUoyKUfTKMtUEk6XmXImE97r2ZSjmV6wdJHO9vq1UT4LBAU0n2yRCkNVXwT02u6xARD+r7fjH03uVL2B3DD+xJSbS9hl54I9iftUTXCmmjF/Wyq8PhZWRPI2OGH+6c3a/w8lsYiFHJ312zTZFXKUl8rcYB895Enrh3UQ1Y26Uj9+alYJoEv/x5oT2Q49HE+dTbCRICTVseaIdhm2NJ+uZSXxy2kQz3cSADfRxPFAj5Y25laEX8nBKMKF05yBZLxNlZsToeDT+s0TJz23OQAXMPVou8XPaHC161Hxx0vGHwY7701ne+WGkkZF3Ma4DVfx88+fUmCb6947G/VxWLdmuTEmXVFLg11kaYfeoJC6etdb4W0HCf2rUrs5GOOB3zk0F/izM4b0mGxmkHeHE8UqLV1R1KXtGPuAU6wa8DpbGWGlbourglM3ILF76s8JmNfOKKG0mnkqpHRcFll+S4VYUDHut07hTn8UKd9z7JR6nr37/islDtJyrw9C1fFF2k4sGpXOJdBiPYSG78oaMYCRfsY7S3LFIwx9znafOgMYoWGpd/7rIDBuWn157e8MHhJbWWVlFHGOZn+NyiYQUtnYovfyj4Y56BPXV4BwtkKVEFz+oegMntZyuf5DhguPN4RBAxAiqd50KI1ib4g/sLj6x0FHxQlGil9NrjZb7OSf72QMxnb5iZwCTIaz06lD7igo71hvxuZn5QdNj2XWWQLhZwNbAzbfUGIUtixSjFEwlffkQ2UlzQOXtxy62OQ8CueWJpYi8rCLVwbrH29gY3Ti6OlcjDMHKZjXhF3xZns0g+xfVbIY8z3p2z1RB/bxNWyBy1h6rM0zl23EF4eYfdng+RwvjzbTfdX0stPBLRPrRaSkUD6ic2rlc+UFL3Z2m8wxzlhza1lC+EYhtXUoT+igly7FoOabjjgJwKc4X8W5KAu3pQNKbYCNZuUIY8DU0h8AvpQCqNABIO2mnhX/3B61zjrfMPgiHxdzgPo4wpnBPMvXfP3Q8qMy9cnD4uCRUBvI5mEA1Rws8TubZbQUZaZpPerlDMCRc8qSAdAsSu4JzcO2SYvi6q+l6fCo32XRdKeuXAclzC52NSLBimRC3ZFKbAt/g3osXGXripmDnVli0GLrkZbDGM9IVbjmcP9clRUbZLm5lNPwC9vtOfVF3WxpzjFVU9tWaYkrZP58yAHXrb2r4mPnAFjtide8laZMzKjWDI2RwOUjll9yLf+kDxSrmr+nw6CiTzC64QYqAvuerohdskqNlOkTxx0hokZNRc9kp4QmXMlO4cgy3erVKy1/2qC4xCi2dU38aiZ87J5nuG9nCZJnN6TwoJune/b0+aswFGUu79pKhQjFvkHJnjSAF4Pj1fUSgLdD6lS2uX4sBfISz7YGQ4iIQP+A7oJsIZVlOteypCSKM28Lf5H8ZuvczJsRM+0Ff4MGOSqguFORW/LTfH4NmrX5+yGieAebJyl4StPuTl1w4r8SfhWs7ONgaPcGTMo1x2+EiE/bkVutfTA+C9rHX49nX9Lz8RLxZ7xBevNLDWfJ5yhYWSg6M9O3wgt8+97aEKDaKOf/BM5grCRy/sNp8TTYEyB0MNVWUSXmLqfP+KQgPCWXGlw8nOUCa6+fWjYgVo/RW24HKSDEf2PrGYuJAE9cusTuz8/lghXhkyaEQDhbBdpT5vVbFgO9/tl0/ImOv5OvXYhySQZfzhe/HAQXRU8J90j3VHc487/cfPEqDntFqm4CkaHr33o5R/KhxzFFM+JfI7Qjqlg3V2PU5Etfx4uumhOb610W45UO2O1dFHfMo+pCNpz8/VV2bheB3P6Cmvc8VNi8+fV3UsYK6u/tzMT1/sE7UXkyQQse/RqSuJY2JQy05jYvGlYL6DXFhaIxlFHs7/EbknCidyBZs1FlNxflEn7aZZEjLGfWxRe6AGw3VJ1Rl5llD0rPyPkW8iOObJWK+yEWDCk+m30Dp3ECbMn8K4A/S9tj5HltaHRbZ7vzqekVGTS333Nl1fKPuYICcj4AxzsRGiiTQLaKHsXaRG0MAiOIP6e78NHDNN6qQtGsFb5buXBxwDQcozlUQn6I9CFreuxurS4MxL+oGHdyRh0xV5IxUGbySM51y8+0ABd2a1ynNYBuDthBdKn75Z4fjUQ96WrH0wP6By2uhlML4cp2uX3xgK2qZyq3wi6iBQ4EiOi/dBCgetSlnECsSGLxQfmFMGeQ0vpTet3ni54Y7thD4FV6RFnjpqRmBdkXo/OSYRGQ9PVJRnmuD5tPdbd9ITQOR7sROreBiYG+2/m5VpDX1/TqkzmUjDaA16GG5zgpWSu2pl82RcovjqVbiGglrLW2zSiwRetTAlhikvCJf/cjku2gCNooImXrFEgOSSsJW9EgUbu3OkPEqDodU61/rCbjKyNL+K+2buj3dk2Jq6C4JAb/HOcc6HVDC+2zspUOmDd/7KyZ58Hwwjx/kVRjPDwDX39+S5C9aYdcE5OmpJGdK+eIUOxsVh1rnP2xXMtNBm/57486fJMBk/3JgckYwctuKCMY8pcPX9xHSgmw98lSy/1z1GxXtqnExunL7oZBrYxhRvg886dh1q5bTEkqisWJv1+NXKvpLjpCkGDR2TPCr7pGApTi3NUVEOhjeUD8U+dcXsrQEzb8g0IGpbzM60O+Pvhg6bOS59YKx0rT9SQ4JjroZ6Q9P6cCddJWd1jYxtxXGpLxltkOZIr2kU6YUbr4UekOUmwiA55XFjqhc0fvKXjafNqtXIeT4r3qmBPv1DXucT/CB/F0+sqZM/jAaKnR30Bgh7rCV2MUAbqpyZwrrbPHByZVRU64I9FDXbeKYHSuEFenX6bC8PfHlRnPvGVn+IuGBifzA9HAf/1ffp40eNjT+NqCRsxvFBf/YoZKsbbOw2NMbnF9L2d6u6IIdPy9aPgQHYc2/Cnj7OADZ85T//baclTMenfDZS2gvHWldOffyiD06K32RLAhVw452Mb9sEiDBBDjDhfkKBRImSucZ8IhzMrlnkMY6AjvGrOYyFfjg9aCeeLmSDOppjF+7XhoDHttnPTpdMQT2E2+NFywFUpIxsXWT0g+tMO0ubYd2eBCg8X6Kt4Wrtj4JYRRJwSirkFw14gncPHmxfccPmkCSu8YuOGOTL9nJ+2Btcp4363L8Roec7gcl+NwXRZUKVpuOLH5UerT6ds8Ti1uJ734ZikeEfZ1tiZxBbI/8rW7wswPttspaKcaStY+87AqHnz/OuYGVnXCnY7zHHsxeEthtvqOM1xOY0xcSuc8GQN925XUkmFQYLbaFvrwGs1dtIKz62BG235rM+OSEweLa1Pf2JCFTRebznvuEDzM0XozdUbAdO68sz1ioh8FWbz39mIBQnmRZmmff5QMJ1wd/7HvgAwahWSVsvHGKtFtKzVKlQI7mxVl/MFtLarj4NXbWGTRuspF6bOoCyB9FO6qk1sH3zFnzpRIf6zz+cfvaIiq+otQxa6nZw46fzuw+9vvjm2qjd0UZ/7Krh3XqUaI7MfmcjOYaEIOLIfVnnHh0wGNu48ehuD9C8snpTeIMxZpRfe2LkGoH1mVfIp0J9oDDz+M2uKB+suk3JYONPxb3nVznbrVVAKNmB+66mCagdSTLf8UEdyx5NB6oQ90LJfRW5dj9u7O8nVzNtioBEypYvCftDcbWieuXke1c4HqwZZb4YC3RlGf/qmqqENwgdiSWhRFAkz/VUAuy09w4omDJG9q63y/vYrVB5alJMwcwHdBsOnavQlcPNHtvGb5O8oHsnT7/AaSfY9jPe4Y2xD3Jz3rIL2auDN15Q8jXWeWDmZfLwuVU/PKnx+eLST394yZ+VabdIwI1POSiHF/xA9UzxJsO3ZPT7Lk41Iofhmzv5P4p4iND6O/9Pk5kvLsnY0/Eux+LOQ6KvzTKcofy5uPXOL54gY5DFuaofiZcOHH5l3a+B/er9bzOb/CAypeT6UM+63pL709nksxnuzu3YHHuJiANJC44kyRCo/Haa6SK3D7gfp5zfwZgG6mWrNsLLnhCQo6G4zcEH2UbT9u6W3Igktyqm03wU6E5tcQz/oQ8KFXfWBkRIgLvnZp75+sIqW6dqkKsVdCoP8V75QIP+X15d3EJ+2CH6+vMUNRRfcCp6m/xwhOuCJ87JvT0IUoUVWZc+EaFA6rkTY5U/hOryqhMUnOG5i/jNrSNGyC404KZ1LQTEerSkzosZYP8z57+alp7Is+YTufY9GATv1V64sxqNHRuuZoEmEcx3rCpyy5BgfIiaPuKchRS21PLzZbuQqqIlb3PFAQaDbbz3FlHhy6VJ0YCDh9ft88Y4+dc6xzBN73N2cQJxBvGqEiFvsMm8fszliQfobSn/o/AnHHw5qPXE8WD82SWdEPYgFiI8rVS+P4mGMsL755U2bNjAWSFSuWqNYkFaPCUf/NEk9N4X0gVfXJDaILzJyQVG+mkcBF07qPAll+yuSQY+nXqWDEIEXOXtOnvKKxwmr8oclbCwhbFf2YrLkqHwg3dIRIFMwxrD//pvWZGvsn/nyq/1c+NNLPScDMGYTvrzG5+GYGP4VgO9PnEclNXmfWlMQUXhrMH8QAswKdddY6qyAuvpfZctVNLxlI7fV7ZgPXjZXxeaUKGNbAyH6s1uxYGvpI5Dmbou1g3/4ffxkwT/1lD24VpV3PtD+FSzjCpc1Srya7tOwrhLJUeFbQ4h3etTx0JCJHFNNlBwOlEPXx+/9Cy5iQbvnbOVzpl74KwctxPVORryJoPkR4TToXLj9qLGu5agc5o/Jy6MgD8+Z3o9YLcFSy/LS+nMAUDn8CNpvtMCSMoPrIINEnAlVEtA9ZQR6gYplVuLu8GxmD0533yDMcenJ55ezQsTtr30X/IIAKMLm3of3BWC0+WbZPmtTHC3xFRFl4ox/HipXlP13h/5ZLIna5pdkYFWKCBVGYFD8QuKpkNHcTFQJdNrwB6WPUnpuVJkYOvOjdzIlwTVy+Ldz82DUPvFf334v9R074T9OXgwCL7xpuhJ3dJB+i9cZ9rMPUHC/XlVwaQ/KBS1cngRwuB2S8yp/UdDYG18gW1rXxJ8fr/Ti87CBxg3UnZbiRkC1UZUIUfcB+J/+yFjXQrsij0VrySUgJqwkiAmrwxDTcSKHotcvPmuwUmrzBXL6ke8BEJMcKLhO+/7tCSQyrpRFXaejOz6T3Ns6eKxcuHV31hzK4yMNdcIlA+Hxu1N1xeDCZjFY+Xu2WsGMYm8n44S/UBj6Ar79n026Pwh5Ia1UgLWCZE2c/ERcHBKfZILqbjo8EJeliECFrm1DU80OePzNf+h/gth6LjH8/jEvVgcvn2Po4/BCRqMJTseoB0WPOFL2G3tjwRKlPCxkViwvmHAEPMsBP5Ytp29q+oHdP3+ImXbGWGvTM92liFvmPmVHmmpEA8ZD2y/kVeV8TAjLdtSnALN7ylmIltTQeMT6VafcDzSyUZl/mbcBAuvU3cdexOEdDIVsWWTDshwciFx9l0QvplpSxp4TIUtYs/y3nGEYXZ0++qu7z7Ikfb3hVdiDMyKnaqcc5VFf56PAaVaEbg08LzXeWMgBF8XSNIojQP+rzYl06kuoPC6II+zPwIO9595+LbUFy2njLfOe6bAwUqGGz6fwjHqsYT+7TUy9D/n+sp+yhtZe/SrEj+R8AfTIIkccQgWuj4+T5wOhjOHEraH37ADFuUXQ8bHScjzjCiSXJYMtXuudMgKmeApxeAtjRlhQGtXsonAKBgULSqkpblAOZ9SyymaE7ZYnGJl8TfDFxQyexxnGJy/r8pUueCCJ9i3//EM98FG6fbNMUELatEeES8UP/lh60/Xjl92RpCqtJ3mreoLU7ULd+r/+iFb4cm4oUo/PGfrHNdT7wiXG7p+Kx81A735ba+37YpGlR3uxD5XD/hwPKn1jKMdBt7n51dd579Mrm2XTlR4wA2nfW/DfgaigFxM7NSvIByd2uMdwRKKT17Uxfs90IIoWlQ63WAUPInOPyBbYA5+n+Jpf0Z1MXaAqFDqSQQ6MT95xVFTKPHcxyS3FoRpdDhisUSG5CPuOjpLwWgRpauxJcMYaZbfur8PxIBj9v1jD4MkIeHmW41rbYfx/Uud4JN87iCzjaF7nJuEEXkGrC2bCXiYkNz7aMQPK8NHBE/nuWLK4fgn+36u27lE2tAu1n3YFHm18JSaPmoeddgoteqN7s2vuDlVvdBbrf1vZ7U5FHZkOLyi7gOb+9q7NFOjsGhDLOOjzkP4vzmSzlilSszb9jwE97u9+/lJSwvHd+x9cmP3Hsh10Cl6oRiI/R0Dz0f+emE5q3Keio4nHP43F8QJhP7ltazAhn5bfNu6P9BRtn9Kt66b65xH0wdG3bGmol8LhP2AMCMWOOwZD3aLl8ffbLJCWcq7k98PRaDV8mr5gkIUBHdG7rbY5IbHd+0hxcnroOYRvWJiohty/5jTFjweggFXU88U7qWA+pZYBsenjND2wDKjoZeGkYpikdf3eSO4uN/4Pe8P8jdbddpZPWBP3dqNtoPOqD2bfTmzmoIybIbVBTfDcJ6DsjYW5Y6uv66SrQLikPR/89LZZByqDHkBS//ld8non99Ge2JCgLIAfdp1PzuwXry7STA+DEv+2WUADjszXF7mCAbW4q6RmKVQ0BSt3VnGpwl3sgZSXPYYQPDdJwyFis5Q+MbWvrVBDYdrL1Fb/uN824+CL3QCoEL34/Czn74QXFpxn3OvMTBdes/XXBIGzEW/4+QbnSFJh3X/0Jsvahophe01nUQ0lEthp8YGQE1ihkypnzLsPz81l/HODtIMA8I3T/iA5ZbMUKaoJOgqqlM4k0iAoKGPLx4d0YXfS3qivRNu6HDetNWJRkPBUo5So32WuPmJcSfzNWUg+50Zm3zjhO3O7K10hp4gtbPj3nUZFVTh6A03EPfDzmuOaSMsqrgx9biu0zUCUPc48l5ci8edphGGb2edsDGN0zK5al3X/8sjGENpebW40ZolFNSe9tpZ5oPTLoecJh3X+Ye0SU/J3Rik5I21PJXMkWUz7elwQDI8fNbgHzTihBuHSQOfsmwg6wGdi0FBInT6Rt2kOalC9pMXKw+iTKGn10q33tsaN/kcPI+FRNjVMVi6HsSg7sC97meXvfGldG0DujkAQWFLzd1OEm7tn3gn7iOP+b+thziNTbGpwO/BU3MCNFNFXkrRkbDyYWPSiWeecJb7287uznDIuBjktNIYgQsyZj0yiirwcD1+TRgRsNjV+qqCRDjy7ystPVfKjUvUkaJKcWuUSLEOLvCPxJelOvvb/O3RwGYD/++bmjBSsdR/5EECNK7FrPLx2IOt5INnq/Q6ePP3vfC9BQ7goD3E73aCCpf9omzLefyhT8b7oMl0IFiejwic3uOBaxaMRsrqAcgxPXUoJygBBoUren9YeiODUeXNCk1fYI+Y1Xiwi4xjzMqtMjRXPBvb4fTithEwOzjx0+10wTu7Gj5Zzx6A04pfOZmjKYCJC7u6tX2B9dG/OlmUHfzD9fSmGaz8r84fn1N5wh/pGkKXVIKHWr8LED3SaZa/PTF26bTT7v0OICTsrXOo3w+PvTK7L3cxDGUu1u/Il/YEH8+IG/WHrWEwY17M/mU6Hjp2LrLwuyt+2V5Mb33UBW6JnhpScM2ADBf2lRNu8qi7oBFx2TcUZHmqUhoLSfB9WjH+xldfHD6vnHxizhdK7BhTA1j84U/b45+XuCKg9XXfHSl5PjC9ecePNTIGTt0h/pbO8sdaOaWeK8fWOfF/fZdQ8/bSD396f3zcvNS+Iu8B/U+bttD9tkF+maE30RPhwH6D9YI9DxWO1C/obRsmQMSJshsXOuyg/8fuzStz4ZC+R8DmxVsCQtqvdubPdnj+1rsRJ3EaFG06kdHVH4lnyqplshl2AXd36XBZiTv+fPhyk1lgFJ5zJYV9LfNCFp9+8ZJ9dhC+dediwKt0dI8PHuSStEX21EHzyDYCnpE/s3zlnC9Yby3xFJFxQhgQP9xY5w0KYMp2UiIWNso+cfS45oVf1S6KKTgfxgeJJk6Ctn7AqbihwX2zKzJ1HhG9LOEEMiUdQZtGjEGB8Rvzm+pA0Jacvzh99JfaKOFXeqlKBITq1LgwXQrAGy/LO0bmQsFfZWKesdAXjnTt0rAT9scePxn/5idkgJu3Z95zUrGe/sstyx4PyI7OMwjIsodFiUJ9E/0o3HdjPu/JPisUvs9AP7ZoCN67hBJ/+ZPQYonlQdsmAmYk3mw767yuJ+O6v45vCseyUtF7FfMBSPzFpuGx5Ifzux1oJQ+iUexz7RDLXj/U9r77/Ke7PZSETCoSfUOg53VObk+BCyT+m2+xruv4p/70rhBB9up//ezs2NVA3EFrMwPaMs3XpToFBCdCjZVkgrF3XL4of9oTLJfzSmeromCntj7ZvuUwcqdPr8x+I8Hdj15Xg9spWPDBrEyXNRTtr3/eZrGNBCfLyX1PzzsDPXlGuMiCiH2jnB0JMSlovLHFz6uNAsNSpJPpHuv+cXBYWdXPC9SMr/oyV1KQ+bKh/kVmbTy+r9TgVbkf1L4hM7qFJmMqPN937J04HPtNOrg9MgwOXzmxTYiPhjtHevyo10zwc+RwDDmciqa7bnSmjQbilu3/zSWgwMQ3jayEx3LQF+q9NzjOE5YK/+k4GPt3/+kP7wYkDd6wBgNbx/OM5OuGGPhvf4Y7vNjKHJSX4QIv/nFzNNgk9B6R5A+BrtNpH0qKbdFRkvTwafZRfLbtm0m1gtP/j0dt4TqbD9FSkNQa0xnr4YkvRSTVZ/JpIL889yy4mAIs4TuHZc8S4cFX/7MZR/RQ9fuYj4RxGAqMfioeT4rC83nHd4oGemDEjmPuGpMR/zcfZ52Lq8zZWD9QkVHihkomJwF0PU+sjEIgTCyE0O5tdMHDb34UyQp4A9veWYaRlEPgXJqU1qjrDrXpx9sOs8fCmEjX2vctHnBdPZLpruQ6Dz1hvtbx2h4fuj/5dS0jEdWk5zy3iBtDtV0ttXwwFv/4W13fYBgHTbPux86ctkGD9KET388GgKRi2AFPxQgg7BEdVLVzhbXcQe6EUC0ISuV/Hq1kgM/5zrHffmoHBjtIkPOFDUevPAzeHe+HF1j5md/0uMNvucMNpzspYGnmLTzA/Lf+Gffk9cMf5DEEDshLrOsjr7NS0jWxdljcc268gtUb/ra/0cu/kQTSBCsPiSlDbKhNb5oPsMSxZlarbtmjGDWT0/K3KwQal3vyoyAOR6b379eU8sX9d/Nz6fT8YZDNqfSTOQ31Cp5GLAjpoaO5qqzzd3U8uWGAfpHPEVyZhT9mX3PAzuO2CgcDHOHbeWZBhWsUCO12OCImSkO2BFJ/75eodb1dS5NsCYYTm42Yc1qM8IrFfaJWnidcefQSGt/rQPZAbqtufjCI26aYv7P1womH3B+ELhLBoNa38W87EYrGG4lX+pNQybvUrvuzCxI3UH+aSQYBI6/XTtUyM1x85MG4SdwGsmk/qu7z64KBQeyE61YL7IgMLTRwIKDhlchtRSZk+DjIv/XJt1AsTzyJzAFROHt/yVTFPBL3vVDeBjrxoOZEfrTwzhKZf/4wM53xx+urxUqqHpbgPd53NvFYGLZwiuowJfpCZQ5njOZ/dUu/rr0cW/DBGo7wSI5hdvB8wnvS0YgIgX85+695mEK7JVlqsI8KZPe2CtZyKo5EVjdrPUoE4UOeOSsTZLQzqCuJvWuH4/++cyRkCQSktD1VRhsjC95jCjTMegiPnusSoYR1NuzA+nkc3JNtct8lGGWSGLLGm/ZgmvCNL9ljljA2xf2X75Unigi7bwmOO4xqx/ITEp1DgXSqz9rllx+6bQwtE4ym4PRFXSNPMS80L/t2csExFKcZAtSz3yWiW9jQtx3qFODVfjRwO8cEa5h/krs6PLFYKcKwgEyGoGWKjW+jF2rb7KnZ5dekJk8I2LyZRIZBoQ9+LZdCgHfJ6Lm+ZxIsuupUyiRaQ6iQsewcXSzO+tBb+jtwgvRKhAx5kAIG2k/uvctzA/k6RjtQNMC/P7eKyjxf/+8umpTl0jsAjffRBbwUBX0Y+yvOUgJFWEJJR8QD8ZupveI4vy/Yrk6/dcsiQVbt0VcqqV7A2BvSOLqPHpj0DitkX44Cfu5nba3OVribbYN04agzroXsqPuZTAEj6YPFp0xcwJfZLHOU2wt3XMil9NrqYLWyncOQhw/qMt3SzllWhlyxx09868NgQtgwulFRGpi37uadGqZgrsOZHGqrH1jf90vYe5wIrEnt5tyC6Vgpx5Rk40uFxonk02MbV+r5/rfnCGy5rnGLmTugiWiXJUv+ut80Js6Ykv0hT+hr836Hg6gc43b1wFkfyJ6PoZNrX9c7wlLhKZtpQBe/wuT92gjG6X8mVN2Mhk7VSnqGSCowPuqqHt7migxJZPnUmljI8A9+tEs5DCxbl1QVGtafW/3qk3BbEsZ65o1UFXfA9mRvTmbtJLhz89XScec4bNrvyNYxGwRk8xibk40aEHOu/FsIMw3Nf4o0PdYKAzaelu7Lujb4vf4vPvTyRBv2l/KM0gTYGBx4PjtABQoEtm3NqqNiWf2BlYea2kh31uDi8qgPzIr+x41xKPeP+xzB59GnU10WMeAS2vx0SjMYPq/ovPwyY49C83JRhd1CWFBlMd3OEwYRbu/XzmUEQFPDAo/rY1ekGp4aMDpGgxzPS3LRqx6gWKab5OBkjqtv/TyWSTFgu23zbEJMIHDYjvpl/AhD7YTFuaPl7Oh+xUthcd2PRlC+9JWmG0Bn6pdzf0ec0SpOP8hWmQTWcfv7vUSU4e7c35+EGTcw+lKcz+AaDNpQrBXGFQp/Fb8czVcNwL2mUnktaeGgpLSNyDZliyNNCjNGd2iosHm+Yu2rMpaRtr3a7/OzvsH6U/6MbAzu+zeH1R2yS3w+O0q5YrIKWxcHQzQ+m9wjKkj0AzORjH19BZGg2rv9zUBwAnT73B8RO6GK1XxXMn/He0E5xzRzVUAo7Ordzpp6jwp+DYYJXQa2oNz699eaPQVKJBU509uIyKLvSUm28IY/dNc73LujwIiwbbhm90HQmVzYqPycgMp2G0J5GqJANmZh5AzVEMvDLrBq+PiDvsTl6xt9nOFll/QtAQYKFPFmbc5kzICPrEq1kVtCce3xctzZQ94ww2T+ZW7ZA35Z649d/5KMVu9uXhR64A86eilLxENWeHcHJ/tfCwo+03qjwRnmikNa3y1l9ntCKSx+iGla9yNfGVyz1+3HaJKjwcXRDnviY1s6w9JR6NBYpZO/G/wOLxvl2pIMReS3tkPH0iGl4GBu/zs7zOXSWrxylADZ+wOjezRcQLLu7T0lXT2cFT+ZsOpmgff06IidHGZg+a9vRxX0XonWhllpw4NmScEdO5PgPv/+KvkvjmBEflufx2CH87V2Tl7mJBgjHL/Gl0eG7gNysipT3iB8f3M+J4MUlBpsfMpRQsXXRiEqbC3hkPZOcXTAxQbq0t6cJzIAWn8I/7hphgqXXji3ZHmE4/XeyIZdV73g1pLSl3N77OAio6OIbHoQ/j07qcbUu867+7V6ORndsPFg2Vy0HxVTynxvvXqjCfPFLyPKP5rDE9s2n79GR3FQxUdih6gn+Pe/WtM7RIKF4eTqTeXrOvh7r2o222FUsip4XCZkDdVhtwWL1+1SduIiR3i4A+qSu+yUWnyw1n6VY4NqAtyNi81ykPCGpwlDuq9aaVi9UmQ66Z8CZQJHW+1u8mP64B+hLB170CHf7Sji1sNpTzq1iGFT3Kk9kFywSR35328SvrjsiD0pzcTUbCJybUhyEV9/bzr1HREChkFQdU/PVu2FCTbIvPcomHIH6Ys3ryvNh6JKSgLDioMeCv2bU2EP5jn2HffF4tGZX+v9lAkFOmJ6Xbb88oK6O2Xn5wJj8bNtzpjzMSrmxFSb9miHYelVa57wHWm4JJXvsuskCZ6Jv44NLIkGGcGbbxkS48D0+NRZ1nYvfLqw/8DoRy9oo1nVi3JRQIC96XTiVSqUOVbcV83xg6NNZ69cOUgGefE4Hf3QYOjc70zX1B0J0HpF+/PTIGjyeJRYedMcp1jjOxu/B+NvUc5nXz7OqvXZvZQK7A7AHW0y8THTTnDRpb9OlvMAZtCHsqiymIBg380XcgKeQD7QqyyW4wttTq/FmGbDUJbc+kU7Qw7LcspiKCaGKHtkw61tp8Iw252PKW+7DX6+OvJnuSQRTXM9tQyvK0P8xx5mt+koIGl+aZQPj8NWPmuVx5NeMN3DZK1JDoHWZ892Bp0KRsGbIlrPeGhQzPDieHCSG2z8d7+WCa25/D8zR8moua+y1TnMERk0nab7byTAzHsZ6bvPvKDgOXZJaESDV/LdT794CeCylrjnrEgoCLCGqQuzO+Kk/+uMLY024MbhZ9fqS4B7V2vCNb4kg724YlF/jAe86li9PfjdG+KSrJevXHOFtP/1DSNdX+z2EVtfqOEaqDoOnKBADzOKPO4YJRB7mU3NGbnrXE+/aSSARcv4hSYDU3hJv5B7UjoKYw3A1UjFDsUuZWkEqUujpb719M8EG9xcMMPdR7VEbcqskOWKP7L47dEATAPtZrv7F+aoQJuj9B25GoXBa783iZpGQU0roK67FDLnxbLUChQA26bVY/4F3lBEMxviq03DVnKzgrNQBHTYtDr2TCRiMYvVQ1JAIjhN2VJNz4ZiXOHuXTrhoUDYsNJ8e34nKh3mX/aId8OxqpNSXEmhYPOvDtwPYzKGmxxaI8DhcslE+rQrmAb0XljaEYNshX8aVGuVgePfXIgwLJ+tz3494Qc99j4efEf88Q/HRKCmZjw0X56RLzmRgZVdb7QqKijrOsSz722UM8z/OpSdo7jOTdFNB8TmTeGbx1cO9rOx4C4g+X3eLRwFK+KOfS1dt5uQn1VXBONRxVOFZdlXFBMWB8UO3UpB1++NgmNl8XBkQ/BNsx2p6L/Kllp8JgHSXNtHeA64wpmkeJPNAqLg9Muq9ndRDAjmNZ97Fp+Mk/ZsbB9+xUCW6b/9bVjNT+k4ukpANvOPCl7vw4Apcztb+oZQzEtmuFqz4oQTluQ/rN990eEStrKr2EDy3x/H94Q7wNVvX0aLpn3RRsvew/GcPYi5VvbLzHkjofjs6JUMLqTbvHPgIEOn2vLWvTwh9G5QffHpZqbdHnDqoZ8VhRoMYWG2xmmpBHygw7rg95aEgudPU4QZSUj3JFp5kMUDJ/J+nPRjzIZr1EbFkAMRuGJR+cbLMBJZKhgFc/psMY975VWegx1cl1Owkb5tCQcquCSLbBLBP4JJ4oZzJPKrZErtjo3A78G0E3JGFAg+uu5DGoxAQEYkP+g2ERutH1/6qUeGbCOSqee0N9CY3z6es6ZgDAtP+18mY6xenh9o+mgFI8dczV64eMGfBNVdTeu6tH5fbVQqUuB+q1yHJ0c0EGoSdXhZ0nH2CIE589c+IMT/IewmWILyoatCsxWh+Mp+avZRswsSTJg4bT6HQzddFMcW5gRMo/q+FC1kxf2nZjLqk6XhnAmxRX9HJv7QOL72up2ITczLbEk7gjDK5nbgOR/iuv903RA8aoVG/a+bE3/qQbtfYfxyoBvQ1dWcny5/X5+9jf3v1O4wtOo2URhgjgXDuuf9Bq/jgW6u+b3F3Hp8zJM14/aLxi4NKwf2iVBwLNtGkI6JA48h5hpD1xRUFGy3uXcrBMY5fHd/JuzGrop37q/XdZYpyTUrgC8ZVkeLhKs3+UKKxlXaHrkw8PawDLhg5QAXl3vVZfST4RCr20fmQ9FgrVXAvYneHj82J+a9uBsM8k+/n9V2MkO6gOPtxaZD9f1md1SWrOJA/LNxFpGHCGeYvpJD9kRgxN2j87Z99hC55U68eAkZHk6NN+uOOeLgSRupZA915Jz4yDZ+MxRZ/2xwGVr2xCvxixv2FsTD0yuVAdUbiMgs5WA38SIZf1w2LGe6pAo3mnbfOBJnBykdDcJ5WgEQVnvyYeW5aBh59Ov+9GAE/DDedaXky350yJJs1Pa1RfGdHN9lmYKh69+eLBUYa1z0GmuxgsA297mtY2SUOXs5ujMiDXLm0gRsuFVg3ql5bHSbN54PuaO4LTUGGkufFXy9oYZv7uk966PEQOtwfOe7s2Tce7xbasKGDDU2jy7s+qyJ9ub7lxvFo9G4kGU3sc4bdNpPP+sTssHkf/ceFOR9bsL0wsMQ/DJiBG5GG4Dsu5my4wvesPaXN2t03hJ2Sf0qs121BplmLpOS7U7IGXCT5XosFc/fz3DI+B4BlXQ5cWx2sRgiHqbhvDsUDuQMB4tppoPuEMl7+UUU9rBdDnsj5gtlLZu+hT+igeVStYmKnQvUO5+49nFTEL5lDBDaruePIotf9xm7hsOgWwhBm0keKDLMkls7LPHTlBufz81EUKh552nj7Q77RG9NJAm44n3OANoRu0BwkpPsFSb5g4xY6IPOcRfUPrP/k4eJELJfnLn6KTgAyvMOacoVBoEUA12CzGtPlFH7Eud/VAUY6Mb/3g2lwSGtclXTiCgUTbQeehuqB6N1rtqbEkNRIu8nScSXivZTLkKmTr5QGi71zauSAL5Sr0+kcdnhmX97j6zxbwDPslx7MLKYRm3bM02E7SGmdUR+M9CtoLeq40+FVFuBZ8KO0eiosrf+HI2GaZXfVs83xgOFZd+MXqwLLrmETNkZRMK88vNbF076YWxeZU2IIwUKk34ofRWg4PKtoXeD+4MxrPz8+EePDBipV3h2zdQFTPps9YQPhuNx/sKXFL8kuLRb1hQ1zTHwW8glRo40aPxnjz5of7Z31fQzETR/6jFLHCEAobzSybg+Fgu3zh75xXwIVYK3MZ728gbOEYZu+hdU5Axj5fN7GwJpUvVxiaxhKPpDLH+/uB6uCQ5edzawxCMz0kftRWJAXzFfkC6LiGKl40qbU6zwaeOlD3HTYbAx7fUdWmAIMouPzy8UWuOF88Jbs7vWOVMqUGeYJQmS9j8SH3n8t95eymRL/BgJ2H5zHXhn4gqVKdcqH+RTcSlp+lT8nAsK/+ubJcFk5XlFOsUgvHzm4pW0y4cwaJzEmvk0DfpiWMYVoizh3IdqjdMfHOAuHe/dvflRsPe+uan562Ts9WZ2vpHmA7IHHymiiClMbebbtHI4Fnk1e/oETkSAo0pL88/3jljyr1/XBOZKlnwLt0VCYqYXn+G3JBxrWmRN0uRBlqS6NM9KX1AtfdNdbUDFRsbDVT91mTHHnOjC8Uweebe0S8089MRE11MUjrAkPDfh55d9iYK7AoyUG44lYFKmEuP2Kl5QFoxua94dDRHir98zBCbjizy8nuvkCqx03C8VluNgrJnjNaV4L6hXKs505jpA046JaYtrMUh38oDyee14YA+TZ96THgrjx7qnLMmWMK2ll5T/KAzU7yxn9weZwx2SxAvZykSkq90SmBrCBrHguUJ66YmXd2beGIBUdHa4K7K66AebCEEedx5R0TYg7DRzgjHulX96SXjRAZKarhQOsFKw9N8+GWec17jcmn0oFOm7UnttlR3Q7FYCUHdHY6HlyZRag1gM9Lp4tpeeCg81k/+qzFpDhOOTV5onnZDxt06zgYoxrNyx+rXvXST6nd9i0ziQDO3Xew02+LrivODji4qUJFCmZzgwWU0GIaswB55qV/Q+vMHrtXk8GNPJ0jgigiF4c7Pe+YvJMHaV+Zyslw0MFn4I++zuBZKX7k1MHCSAQpC42ceAQIg81faOS9Mfcrizi5knqfD5yNdjtR3G0FlZvqF/0h0cX/9XHyCCzUwNDdnLnlAd9ENWukIVsg32655rdYBM1j8Td86FgHt2aw39RzOoSeD9XZCshSNZWbcYLJzg0798ogKkam4mmU744x0eHeB3X9eC96U6N3w5jK6LvwM7ThtiK/NISdsIGcpZG0s/qadisJZGS0eIL/Twf8nj2JkKX7JJm9g35a1zzs+BFmkK0vU69F7QDQLzG0JcSW9ygZyyKy/eKgWPWg5VVxBJuCub7VpbXRyQjgp/phdIBZECjffD7akw7lzLERRDhIaerY0LfnoY9aF8BkdDcHp4s3bVsBsc6c3v7FSNg+e5NV4h4amQJ7Fj0OgBGVlNs+R8vewQul7sOHveBwiMnDekeXcC8/2wJxp0VDRJMzYPfOyFgc83pVjk6WJN3WjOmTsCEO0hwL56Kx5k5zVvqoxQ8OmzI54NyiH4gT870j+KCIcZLA0UXbhAwl9xE2tEMp58dVTJ4JINSu1+y2vmHoJj9o8yp71sUbczZ02TFgb705XyRb4n4pr1G/O+xzGwpn/oserlUPx/sd7JXQ==AQAAAACAAADIfAAABg4AAA==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AgAAAACAAAAAegAA7REAAIAQAAA=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AQAAAACAAABAHwAA5wQAAA==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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_2_t_86400.000000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_2_t_86400.000000.vtu
new file mode 100644
index 00000000000..cc3a2e9abe6
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_1_ts_2_t_86400.000000.vtu
@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
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+ <FieldData>
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+ </FieldData>
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+ <DataArray type="Float64" Name="ic_0" format="appended" RangeMin="0" RangeMax="0" offset="92" />
+ <DataArray type="Float64" Name="ic_1" format="appended" RangeMin="1" RangeMax="1" offset="160" />
+ <DataArray type="Float64" Name="ic_minus_1" format="appended" RangeMin="-1" RangeMax="-1" offset="244" />
+ <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-0.1" RangeMax="1" offset="328" />
+ <DataArray type="Float64" Name="v" NumberOfComponents="3" format="appended" RangeMin="4.1000432109e-09" RangeMax="5.5270044878e-07" offset="6356" />
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+ <CellData>
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.7320508076" offset="30576" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="35388" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="47168" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="48868" />
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+ </UnstructuredGrid>
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AQAAAACAAADIfAAABg4AAA==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AgAAAACAAAAAegAA7REAAIAQAAA=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AQAAAACAAABAHwAA5wQAAA==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AQAAAACAAADoAwAAEQAAAA==eF7j4RkFo2AUDHcAAK4tLuE=
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+</VTKFile>
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_1_t_43200.000000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_1_t_43200.000000.vtu
new file mode 100644
index 00000000000..c62d6b86539
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_1_t_43200.000000.vtu
@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="41" format="appended" RangeMin="45" RangeMax="121" offset="0" />
+ </FieldData>
+ <Piece NumberOfPoints="1331" NumberOfCells="1000" >
+ <PointData>
+ <DataArray type="Float64" Name="ic_0" format="appended" RangeMin="0" RangeMax="0" offset="92" />
+ <DataArray type="Float64" Name="ic_1" format="appended" RangeMin="1" RangeMax="1" offset="160" />
+ <DataArray type="Float64" Name="ic_minus_1" format="appended" RangeMin="-1" RangeMax="-1" offset="244" />
+ <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-1" RangeMax="-0.1" offset="328" />
+ <DataArray type="Float64" Name="v" NumberOfComponents="3" format="appended" RangeMin="3.3545808089e-09" RangeMax="4.522094581e-07" offset="6396" />
+ </PointData>
+ <CellData>
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.7320508076" offset="30904" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="35716" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="47496" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="49196" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
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AQAAAACAAADIfAAAuUcAAA==eF5lnHlcjlv3/2+ZyZQk6ZAkUUiodHVvlTRrHjUPmtGMhBshUzInSaYkSeZ0dW0hSUIRMiUOISEJyfRz9lq+5z7P7/nH69mvdT6919prr/Wpbs6o641vzzKlZRm+p25UatJl62NPx7yeSL/GjzTPfGFJb1120OFaNUje/XAXcdYQojDfZGcfX1taGqOx+MziJjGnX7fnk80ImjRu+JGW+Ra0bMjwByOfvxfLmh1uqDytTq3rr/XJVDWgz86n1PGix+IeD57eerZUk4r++V+UHx8cUeH85kmdWPaS6j7ll1q09jGLJzYaEN/3IcQHgD7p9nAY0+fMQT8ugfGQr2OBZ5ke8BQAP1G8Avwaj4FfdzTLl/imQ74BGyHfiZzmrbt0HO0Y2H11ppwsefy6ouzURS+yZeLuzuZ6ZjRU98XqvkfUyPNbea6Va0fQCv1mz/Ise0qecpO+repKAg5oXLlCh9Bbn4y83my0oDG7q3q8XP9FHBDd5dcU8WjqfnVteWSUARWdtH+69HyTOKlyTNDmQKyDJIlPvF1YtqLmhVhHb7pHepMWVaxg8WTLfohXLof4MtAnZntBXzcO9KuAh2g9Bp5dO4HHS4fxk0tTgF+tGvhXEZYvqVSAfIc1Qb4tj6w+p+zgqExu1/weumOI7sqqURNT3IhojJ+Xq60V3VtjvnP5oyHEoPiQx/zLIlpwLLHT6WAHGtl59qYbpv2JiuTVMrsbyvRB7nWfgNmW9OeFtl9NqSLSY/rw7uPK1WnxiEl+9c0GVP/d4t4b3rSJr8SFarcHYB3iQngLQXb6mPEfxHdGlT7s+USLrlVh8ST7E8QHxUL8VtAnny6CftYM0N8FPESpG/BMXAY864GfTKkC/rk5wC/3hOVLsjDfB5ivqs/8Cp3RHH1XXWn//Eh3Urb0yk6deFei9y3aa0KSFTXZpPSwaEFPEqFVMyZxczf6uN+ycYOLHGj20x9XjnR0JTLyFwu8+wylL3IGlGt8sKQ9vta/uxj0Q+y77OnHeefV6eBt7ptD5nE0f2mSzfwTH8VPrugb3LLFOhSF8a/viv6WPd4ifpxkc+tBnRb12MriycVlEB9YDvFRoE/U20C/VzLoZwMPOfsCeNI7A08u8BNxFvCvHQb8E3xZvuT0NchXTQL5Zjefue2kxtGoBze/LzFsEZvUnW+I6eNKZNqbn4eFWdFZj0cVTKpoER97fOTxev9uNLZHesnLEgf6Pattr27FR/Fwubpl1zWG0of7XvstHG1FL865u8tIeC92PdV9Yene3++384fSIUUc/WJ7JeKz5Utxfnm9prw51kF5Hp9bW+/8efBz8bsB25vn3tKit2RYPEkzg/hTZRA/fT/TJ1viQd+gCPT3Ag/ZfRl4rssDz8IvjJ+Uvgf+TveA/2sTy5d0w3z3Yb75u210SgZxwGXUhWsWPd1r+9GFjLtjsafG1wrOm0dwxYVNdYrru9ElHZ0WCbwDO5dsmMMFvM61PztsKH03PmaviQ7ES2x9eLO5fQ4dylKnCx3Snm+qQv1KW26H/65y+elYh5QAnv3Z7snbJE1Uvl6tRQ/bs3jyz3Ga2kLupQ/Ee05g+uxclK/NLQkD/cXAA+fuevyRduARahk/Ozdq8eEX7gF+gyyWL5w/iedUO0G+adgPqn+z+gjqWB8/qCftXM/qKZzCeiZjP7jks/oLYcOh/lFwX/SpD7svIf0k3Jch9sNqS3a/gvtlqX6IcuQabrF+EM73g35Ih3gyzBDiVbF/zkG/kbwloN8f+y0G+6G4HHgaBwBPFfbDt2fAP+AF8HtDvkSzEfItwnyHecF8WFzJ3gs1wPcSifNh92b2vmgPe3hfDTgfwt+x90jX4XuU4Hxofcner9C2Gt5vM7x3ariCvXehRno+VPjyJtfYfBBEEpgPPzbDfLi+G+LvXYN4DZwP7e9B334F6D/D+aDVCjyj5IBnO86HvdnA7zYd+L29YT4k1kC+8ZhveT3sC9UcNj/ptmSYn5m4LwxvsHlLv+6BebsV98X6H0H/zGeavgDm8xncFy5FbJ7T5aYwzxfgvmi5y+a/sDFWal8sj+fP3GL7QshRh33RA+JJzFeIr4iB+BG4LyphX9BwS9C3wX1RIsP2Ba1dCDztuC9GVwP/1o3An9MA+6LfIcjX489+NAD/0DKY7VP6DP1DLvqHwsls/9La27B/T6N/qLrP9jXtnQ37+ib6h3v72H4XbGNgv++vBP9QVcD8gHCqWso/9Ejizzxi/kEwmgL+IeEK+AfZMoivqID4ePQP/XNAX20O6MtNBf/w+RHwdNsFPOroH4Yif9I94FeFfIm7IuSbgP7BBv0kB36S6GwAf9WAftIE/CQtfAB+LBz95P6dzL8JNVPAv21AP0k0mZ8U1qKf3IF+0v0p84eC0X0pP1kdzzdlMD8pvBDAT85BP/nXboiPQj8Zin7y4mfmJwV1C9CXBx7SagY8vZDHKgH8ZEwF8I99CPxu6Cf190C+NZjvpF7ZDu+atWnN/Z27zl7yJqKLy1YlnVWguTsvzKzfak6fN001PJvVlcrtjt82VL9DOK/uNvtOiAM9edwj7ZRLD6K65OD3E0e06RN/iYMttaT9YyLboue8FMupGr6eWK5H2w3HLmkp4OjHaZfvBc1oEE/l+o54rWOIPiqY3119Liouqk58u2T/0aIcMX3JsXhyKwjib2P8GdAnlkagT0aC/ingIZ1LgSdvMfAkAj/5/hz4k1cBv2dPli858gDyvVAG+Vbf+RDX5uJPy1gdZpI69i5syDvHSNU2q1m0pv+R1GwXRaJuOeazkYsiTb8VrfD2qz0NvNX5w3bH3qSgW53JKzqBVh9w0or2s6KKR9rm+lh/ERc4fJ11oEKPmi5S8r78kKP9/x76qTbnjdhzYtvlOE2sQ7Y1P2Xv5S9D5BrFybtdPioeFFPHhSyeqLyB+OoJEP8K9EnxAdAf5gj6jcBD9lcDTzfk6eXE+InZIOBPMgV+ubssXxL4APLVaYJ8TRK1hk1r8wGuEifek80NczJ51yjxmRoPunDseR23p6pk/Vr7EZ0nfhMGdV3V1inNkXbO1Oa6c/1Ik4Ph2uvHJlCvCSWRj7pYU790A4X5azuRTJOXll479GjqLM9tg2IN6V8dxic3kE/iGyo1/caNwDo4O/Izjr/0GR7/QTx2e8lu2z1iOtaDxZP81xB/BuM1QJ/M3gf6k1E/BnjIyQzgofbAEwL8REcT+D03AL8j5Mv8Q+lGf/4M5tv96aS/tnz0Bv/z2Z7rx/aIGVG+sfnVUAcPmixRHFKQ140M25vWbuDbiY76e7Bp2VVHmuPSt2JcdnfyraZB67gwnt7IitQZl2dN32uJR8d//iH2nnnfaMMiParl9NHy4idD2tdgv0931TZx1oJXwtOBWIcX0fxKtcN7FvzdIrYJ8crqlyGmcY4snuyZBPHP5kM8t4fpEzdN0K9AfU3gIS+dgWdaNfCoAT/ZtRz4V20AflfIl9VBoqzPKWC+Wq0ZhlvXQB1EN/W4acxXmJH1Gi9unJL3oE/8ZH9tvdEijr2kJX/mfScaVns8bfF1Ryr7Tt1nxcGP4iunxd0X5I6nVR3mfW8+tqY5K7hlF/xbxAnrI44sm61HB+2q9Z5hKqZPEk/0eHbopVjs/rJsjizWITGA33H9TNcg9+fi8dfsvtpsF9OCnSyeWO2A+AMYz4M+6bEF9A+g/kXgIUueA88r5HkI/GRoFPD3KQd+W8iX1UGlzonbjfk2Lubih83Bfmg14K8wXz2DhOooPVwp4wG8X725vjsS39/UlKEZ6v02z7/myM5LNwfzVm/VT27KHk/dZbnL515Zs3MjEyd+Tumlx8b+evSH833joR5i0Jnuxm1KKXPa2xPrIBrGfHWDYxj38sPuXVO2ielTiAdOpSBOBePLejN9du5XMY9bhfrHgAd8tcFIzug98GwHfnau8WUh75gG/JWQLzvPe+vHm3eCfEVS/SDpH8CPxPrkYT+sjWD1FE5dgHpmYD/UvGb1F5KKoP5W2A/D0th9CXJ4X21wvzRkHbtfYZ2HVD8UufBWdawfBNtK6IdeGdAPfY9C/DiMt8N+UMoA/ekbQF8O++GYaDTj+Yb9UIv9MHUZ8NdiP3dI9UPcdz9eBfO1kJoPDZ9d+aal8F5EOB/i5rP3RSfnwPtSwfngZM7eI025Ce/RCt4vjR7L3q9Qhu93LM6HlmnsvQvK0vMhO5K30GTzQbgTCvNhAs4HewuIN8D4JTB/SL4V6D9D/Y5nMB/uuwPPKpxXW3E+LE4A/sw9wN/92b/zQVShxCfifNi1UGpfJOjxZ5Jhfv7KgH0xXoPNWypaBPN2Pu6LpHQ2n6kO7ovvuC/ubGbznI7Aed4L90XaRzb/BUXpfVHmy0fms30htG2DfXHDDfbF1XcQ32c4xItxX4yGfUSLjEF/K+6L9k3A89wOeFJwX1SMAf7iJOCPk94XFcb8AdwX2egfloF/+N3vsE9Po3+okGP7l26ygP17Hv2DVg3b1/RlV9jXdgfBP2Tksv0uqDnBfh+C/iGgivkBoU7aP8Q58k8LmH8QNqB/ECWCf2iph3hXbYhvRP/gkwP6XuhP5qJ/kAf/QE07A48c+odw5N8xA/jt0D8Q8A+0D/qHEvBXdBH4SVqD/ioZ/eQm8JOkLBf82A30k0WnmH+jHkng3xQCwE9WzmN+T8hBv9dNDH5y/QjmD4V6aT/ZEc9fOcD8pNCIfrLIAPzkmdkQf9kA4p+hn/yQDvraqN+EfrJFAJ4g9JPP0E/adgC/zA7g79Ib/GQy+En64DLka9X/3eWMrUaUju+z1ErFi/jLb06xy1eiq78fnLwqyI4e3jR4VZd8WVJwPWSxlpoO3Tcno06nyJk2Xn7q6BnYmSjdqlsSp2VC56x3EtZxtvSF2+3w1ebvxQHze53W8bCkT/ghYZs6GdGId+Un4rwbxKeMup+sPTwT6qAdyU8U1S2qOHZfvEReWe/GMDsaAvHkwIQrLD4T41GfWOiD/jjUbwceQi8Bz1jksQF+8j0V+Mciv2U/li/ZOgHy7SUL+WoKr+t3XfSnV1gdbGB+uJlyK/umNj+I86YD6sK2f1inRtSm9h3jbjSenmg3D9zV24UGr0147zVKlqjMm1tQN9yENsuuLHhz2paW5Sj9NErsENsmX/2w2dSS5q2NPRalbkTjZNp6yHxpFnPue7J8DmEdJCP5NbnbLlymjeKksW1ZBr/r8GwNiyfmwyB+H8argT7JzQX94hWg/xh4yPIU4JFHnqvAT/TuAr+uPvA7Qr4kdMK/+VZrxvOfS8OSdpn7ApeyMdvnpT8n8+5PvWPET73onaCtPQdeUCPbO3oMGMeNoUpkXveKJ640P9xJMDSXI7K1o+YmFhrT12qjk7uutaONj9uq93+RIQn+iu8ej7KkWw26zApNNKLPE6auF4I+i6O+rjU02YN1aHfmM9SzN9P6D+KbaQ1d+/2uwxSIJ1lzID4X41eBPkl6BvpTUL9DzHiITRjwDEWeXOAn+2cDv9534M+7wPKF+35rzfKNWhXI6/jP/dbqDPvC6IAD/LzwjiX/4F6RSoi9F9VT2O6WPKIr+elbv7pY0KCG9a0HRbJuVDyz/XYnxV7k+oag6QUBxlT/XmP+3VH2NH3MzAhdYxE5sXfgpHXdLGnUvbdf2sqN6KWuQ75F/GwTS55pTVqVjnVI8+QrJdfHjDb+IB5SMFGS+LsOJXdZPFF5r8jix2L8SNAnU1FfA/WTgIckuQNPeCrwyNcxfhKtCPyPvIE/APJldZD0hHz7jwzkc3xbdFd8Ql89dwA7N8qbxD0bRgMX9/eiI+7slwz0eScWT16UwRdr0KCVNQmV3dxo66VL83SOt4kd3l1rumljTL+0lKtcNban27qbLnVd8UEccHxUj7JPFtR5b/jqmDYjqqw1o7Dz5ldi9YOdOz3einUQRfPcqqP5uiefi4fd9I87NNyOlmazeKJuDfGaGD/tA9Mn+b1A3wb1JcBDrGuApxvyPAV+ktcI/DG6wD/Kj+XL6lCoEQn3Pn8cX1ITcTTxIdShYoMTO88eYMOdrvjquu+HJzuPSgznJOG3io/wGvTroC8xx2TcII9mbe7uQ4dP1hbG9IfnjHnzze2hr8a78l927TxS/cGCLjWeUmMiMmbn2a0B/KovYyc/3/JnPkzj2J9DHbiYZUY3Z6jYUQLxcF+L7bg5GF8D+uy8YWggp5YJ+v0VGA87V9kTyicgzx3gZ+f9beZwbRHAnwf5svOgnm7s60vMbfgYqX5oUDGG87MjuRfYDycesnoKw6ZAPVdhP7heYPUXZLD+2nBf9MgAdl/CZ7yvQdgPp6AfhD7S/eA3ncvJZ/0gbMd+OIb9kDUJ4jmM/wz9Rqgy6GueAP2d2A937wHPROTpOhz6oUfPA4z/2iTgf+D7bz/4zbaCeZjkwCtLzQfRz8GsDtU9PbgSnA9Kcux90WycD844H4wd2Hukc/A9GuF82Azvlw7E93sH50PMK/behU5/S82HbGM+NJnNB0Ed50MniCcKnyBeFefDz7swH5RHgX57Nui74Hy4MAt45JFHAecDUQb+Si/gfyY1H0TuWixfowdO/BKpfSG5pMfqE6kQwUXivnCGfUG9fsG81cV94Qr7gk7H+eyJ++LnEzbPqT/O8/24L94uZfNfaGuX2hevXPh5f7F9IZTgvpiI+8JKAvHvMT53JOyLyqegn476z3Bf+IYAj91t4HmG+0I2EPg3fQP+fKl90bDBF+bAVxu+N/oHFdinUI8ho7h56B9e3GP7lz7Rg/3b+Sv4h5BVbF/T0biv7fuAf5hcyPa7cAb3+3z0DwXjmR8Qxkv7h2pX/nYl8w+CPvqHOvQPZTMhfi7GP0D/MPsM6Ieh/if0D23JwPNiLvDs++MfkH/AFOC3R/+QJ5VvGpnNP+gLfnI0+Cv6uDf4K4J+cv065sfoQfRjdegnJ1cx/0Zd0L8J6CdljJnfEyrQ72mVgJ9c0Mb8pOBjLOUng+L4a/7MTwqu6Cdz0U9GqjI/KeSgn8xAP3lgPOg/iwf9G+gn99cBD0EePfSTr7cCvxfyb0c/eRHzpf0gX13bgWUb30+nMn1dy7PX+5HwpdH1kys5+lm+bM7zKU7UWa3GwW5vL9LxSC2ubqYJbZu7PDtwnQd99lfO7vGvexKvj/Lf3jvaUdvQeyb3djvSWW9iKg/Xt4gLnSa3jr3jTE/x6hcG7p5OlePO9Z4neSoeN1sja+RAd5yTvjw5sT9dtst9ceHiL1U5YzzoAIgnqbsg/lkQxOuDPnnQLZbpx6H+E+AhUYOB50Mr8NQBP7GaBPzlyJ8D+ZIRmO/1JZBvW+bAxF9/zaaf+/xzDntJFEo4g8s1hlFH/ekZDeWJ3/VGk5Cx5Op2NRO6//rktZq1HlTr/pCfQ9cMIFYaP9o9P9hSDXOT1G8fHamMv97ML6d/iBtOzXJIv+5M8/8+67n2ynQqXzxua4z1O3FO7O7j2n/qkOvCJ6zKMWs0bhSXD4/Xy9XyoBEQT3TKIH45xvcDfXIvCPT3oX4h8JBs5OmEPM7AT1pHA38M8g/ZzfIlQ/pK5bvZjEv00pu4cm8AcCUZgK8Y48NnmSgXf3X2p6Iu72+3BWoQ0aHu83yHGdFkhWjLdd88ab3zy093Vw0i/leWZ8SH2dKEvLS/bi10oikX0zt9DO9K6mMKc1x+vx/XR/HP+ImmtOZc2ohdQ76It7apn2+WxzoUOfHzjPT0Rs75IJbxWFEUONmD3n/I4onqSYifhfFBoE/qy0B/Lep7AA856AI8p8qB5wjwk6udgT8pB/gbIF/IX94H8m0K5WNKtj2RDMA6RDuBfxBCuc1rVVdO7eRPazPtPsbm9yDjt8bs6u47jfZ+dXC94xQvejo//8edB33I46/aU/7+MpOmL1TaJNPiREu3XW2t+96JrBNu7vU+5Ez7nBkcU73ZlNaWbbhZMPeT+O+Ngq2XItahzodf6bbsZnhhi3jbj+setsSDXj3N4smwSxBfiPGoTw7sBP1Q1H/ykvGQ8ALgEdqBpwD4yZVdwJ+B/AWQL9Th+miog4Ubt+tJ5qYRj/wZl7usN9RBdxb/euOogNTHfnRS78iQ3k9axG2Xl8hNVJ1GM83iR/SY6EVryGKV6x8+i1cttH2meWcmLambJvdOzpkOn5IUJfe1VbxlstentD3OlESoD+1WZUqbdcdd9a9+JTZZPHFViDLWoX8AP+5pJ5O0F3+LvRIuFqw0+z13wlk8WWgM8eYYfwP0SbepoO+M+v7AQ/Ygj0Yi8HwEfnK2L/DnlQN/nwaWL9QhZBjLt9RhNs/Jth/vcgPqUFg8A85zAzjFtKdNLrf92Hn2Rnt+/THraQcUplGnQ8uimrS8II/Dtnx7bnCMwY2ZdKx8L5kxSs6wdz0i+bk74hbZZTnTHxu3lMk8NGXnfh89uG7L18noDvszJ6eAn+tpwTUPeJJaZOlBH0A84zT6Fsy5YnzrQKYP5+lBfDjqqwIPOy9t8ePrkGc88LNzFT1vrkch8CdCvuzcXhk+h1I6bS5/QKofSlvVoU9W2vHvsB8uybF6ClFYzwfYD23GrP7Ca+yHndgPi8ex+xIW430lwv3Syy7sfoUB0v3w+/tu+oP1g3AB+yEc+8HXFOKHYfxW7IcM6AdhGuqnYT9o2QJPFfLIpEE/6HcF/hjk//Hk3344oO8O+RaK+cVS80GySRnOpxlxmTgfsrPZ+6It+L7q4T1S+Tz2HqmoA95jI84HjY3s/dLN+H69cT70vMreu6CRJjUfZIO4Cd5sPgjuOB9kIZ5YXYB4NYwX43w4nwn681D/Dc6H0qPAk4bzqhbnw8V04F+6BfjTpeaD+1gX6P/BEfwBqX3hp+EF3//d8+K34L7o34nNW1qM+8IH90WoA5vP9BrO5zm4LxYLbJ7THzjPvXFfBO1h81+ok94XoucGiRPYvhBm4L6wwn1x9wzEr8b4abgvUs+Bfgnq5+G+uGEPPHOQJxf3RTHsC7oK98V9qX0hWakH+V735lLRPxwE/wB9oePCaaJ/WK7O9i/tpQn798gf/1DH9jWVx31N0D9ow34X8nG/6z4H/9BUw/yAME3aP6SH80qbmH8QstA/FKB/2Af+QZBgvD76hyUzQN8U9U3QPwSBf6Cto4HHGv0DAf9D29E/KKJ/0O4rle8pH07DDvzkNlYHP3oK/VUr+kkRx/wYlX8MfmzCPPCT3gOZf6Na6Cf3oZ8002J+T+jkDH5vE/rJ53nMHwoy0n7SIpgbp3jgHz8pzEI/uQT95FsriO9AP/k1BPzkkaGgfwH95D30kzVDgecy+sla9JPGmsAfgvxZ6CcNwE/S8j9+0rr8pkKwJZX9ojr/hMxson66KrFIMKNmisYN48Lcqf/nhA/KTf3JUkPFnZ+DZ9LoMT4V+pP86PvxD7c93NaPvJO8imnp507LjpsvjV7tRs17TlWVn/NRnOzDda/W8KWp/bKHrcmzoGO2FIn97RvELTMNN3wpgbkskqjxc7dvkXzMvy3+3J5lahgbQJMgnmzOgfhbGL8f9MmEXqCfh/qRwEPOI8815FEAftLwHvjfcMA/GfIlxpjvy1OQr9utlOkva8NpX3buAnv1kQ9n67AqriwhmFocq8+7YzmOaH6c2nXFXRtqUNVJIy7Qj044aJO0zGcQiTyo7aFwz402zvZfv+CTG10Yveb91XsiYvVXhnicqi818ctdlPbcgv50yl8TLdcsfufTWWn0BaxDoSPHNR/6Zuf3VDxK7YFP1MIAagzxpP9siO/tC/EloE8OJYC+POorAw9RPQQ8G5DHFfhJfiHwG7UCfzbkS6ZL5/sujP96sij+x4kQ9DW6MDc+zOKW7Ls5/HuvYJry4tAXn23jSf6jX9be6y1p9ruZ3xLK/GlO/amHMgOViPXbRzm5i92oy8ivJycfdKcPrjld/Eq7E7fznWsi5H2pfve8xckxlvSbk47p3SG//WFn+lOvCuugbcP1j6tpj2hqErvpmf2yWhNAx0A8uegK8ZcwPhj0SWgV6Juifi7wkOIG4KlvBh7kJ5+RvzvyDz7F8oU5qegH+/GBJ7/1zpYgTgbqULpvOpyPc+d883K9tXJmU19XpVOtn/qQ/LVDS0a2WNDIbzHaN97+np/bso7YFgwgUY8ulAfruNGkpt7+xiYe9FVr7bYqj84kWPFTzYh+vnS4W1PI3TZLeuBWgn7x8I/iWcmd/qq7j3VQDuQ0XWQnO0W/Fu8/9Wzb610B9L0riyfJAsSbY3wQ6BOd96Cfhfp2wEMSNgHPFOSxBn7SYgf8JWuAvxHyhTqI4eeQIm8f3vbp4IaZl4IZl8XHQKjDmkCu4WhM3prFs6m1Uenyaac/iveW7bk5qNKCTuhyZcvLd/7U/2Gfq1aNX8UdmV3ino9wo34Ta05nxHpQbksfhYbyj+Jhlqvetw3wpY/U9Do8TayowSSbq2MOvhCfmHB6wtfnf97FHD5ilZmF/vfH4rNO1Tun5gXQEogntb0gPg3jJaBPJqwBfVXUVwMekn4NeHrsBp7PwE8UJwH/PORPhXzhPRBDyLdai8+pTQkOPgl1MIr3hPpUET43VaHCN2Y2O8+2D+O1QxRem5RZ0Ao/m/d5bzGP2iFckW6qaLyKG52/Zrd+2hL83MicEF4x4wdvPsiXHtft1S7vBp+7bqi258y0/C+Me43/fbYd46g7HM2/SmlUlRwLoH4QD5wVQZwWxq8EfTifYM11R/0DwAPnT/S4bOQpAH52rlLlxH8KBv6xd1i+7LyhVAx1SBvGzZLqB/ce8HN70Stz7jn2wzILVk/hMtZzMvbDm2pWf6EG+8ES++HKJnZfwnMLuK/gUdAPzwi7XyFTuh9UAvifGawfhDPYD3MgnniNhvitGI/9RqozQV8J+2EQ9sPOF8BzF3neYj9cHw/8Osh/TKofjGaOhXu3n8RfkpoPFuf84fy7Dm+D8+G8O3tfVGYdvC8fnA9nt7L3SOfjezyA80H2I3u/tBDfbwDOh+AG9t6FmdLzwW8at3Qqmw/CUZwP9TgfaDXEh2O8H84HbdRPRv3Zf+bDFuB59BB4InE+dLYFfl3kfyo1H1T8TCHfzw58p1NS+2KjK/RDgj8fh/viLsxbqoHz9izuC+Exm89UDvfFKtwX4ZVsntNVOM974r7oa8rmv3BKel/Y23MK9mxfCBa4LzrjvlCZBfGv/2dfXCoF/X0U9A/ivoh8ADwqf3hwX4S+BP5tD4F/hNS+8JvoDfn2ceC3o3949JntU+xXDW4S+oeLBWz/UkX0D3LoH6rBP9CNuK+r0T/YRLH9TgNwv3dB/6BhwfyA8FjaP2RF8yfvMP8g2KJ/kEf/0B4G8Y0Y3z0Y/MMN8Cc0A/V/XAP/EJMLPL8OAI8J+odlx4H/DPqHKvQPOl+k8vWfx6egn1QAf0XXop+0Qj/Zt5n5MVqOflKCfvKEHvNvtNsy8G/l6CdTFZjfE9LQ7/mgn7S/xvyh8B8/me7Pu25mflJ4jX5SHf1kcBHE38D4B+gn1YeAfgrqO6OfNDMBnmHI44h+8mor8Fehn3xtA36yD+abjPkuH+8i6rbXniaFlnRe/CaC2Pz87js0yoGacmb72xt96TGN640Nbgok8K+CxvAxrjT/Xvo4L9Fs6rP0xsoH/eRJ1A49uuGIP/22PKTpTncf+jR/4K6+2m3iS4/XqgeaBNNhzzQvByna0cvHxn/LM7kl9tQ91yO+NhTqUGrA1UYHfrtTEyZ2LNumMWhfGL37lMWTRhuIn4/xbaBPdM+DfiHqVwEPaVgIPEuQRw34ycsJwK+O/K3jWL7kDOa7EPMVW7svyS6LpqfYOfxeVGQ0nXs1ODzsW/ocSmrpCW2HSeS78U6/EsGF5rWn71s3Yza1GHSbph9V+j3X35Mrq/zpGV/FsEl7fGhD5sY5y0M6kTMG/iOemwdTOYNmzw+hdtSq5r2ajEK9OOYnfXvyOdZB34N/l6J66ua2heJI94dnmk+FUQWIJyZLIX4Xxh8FfdKcDvoFqF8GPOTLYOBxQR4ZRcZPUm8D/1fkHwX5knTpfKcF8yet9O6dDJkHXHfQP3yK4I3Pre1zY+Ac+sJh8vein5NI7PijjWONnagQa2DwXC2Eaj2/rVxdM5w4jXkz5pyzP80omxC3c6svNfKYmuBX1Z3cNw9Y9sA5mC7afWlYj8H2lFP6bjpp+QtxZEW5zjjZMPh6hlH8r6tL59+fniL2dx4ca/ksjI6HeHJPDuKXYPwX0Cfz3UD/AepXAw8peQE8q5BHF/hJJvJ7I/8TyJflX+o7G+bk+AS+ftl+YfOauYzLL9YB6tAykS9fsOJVZEYkLVmX+yg+VI60nOk2ZcwzR7p+t5nRxOAQmuDhqVVwWJ40mfpM0tX2p09vjZPJ0fejG2ctUD1tLUNss4sKNoYF06uajzYPibGnWzPeH9JSfibuc9Pux2h9rEN/b97aau3Uy6nrxRfa3nz2lQ+nZRBPgk9DvC7Gt4I+WeT5X/1M4CH9nIFHYQbwVAA/iVgD/CnIXwP5go/i8e/Jef3enxcjF2oZQx0s1AOhDg1j+fD60ZmSuZE0YmH/ilGen8V9b2z98fqOIz1yd5v817khtMfe4KM/l34Ty1xT8RTp+NNV12/9XOztR7/e9Hy3Y94HsVHhio55i4Jp+5ajDsty7anrrF63Ez/dEu9Msd441w3rIFLlH2vPW3ezdIXY693c/FV64VSAeKK7DeI3Y3ws6JNrt0FfE/UPAw+he4DnUyXwJAA/SYwD/m7Iz0G+rA4as/H7LNVIvnHaCnV1baiDdqM5/tzSiltwRONNZGAkO1c5OZs74L7AfFadI33RrcOzRxT4DYntdL4u8taPu1P8abehw000g/Hn2+/s+QTabZXhimCaOm1I89Sz8HMf0SRL7vRpu4bVAVgHSeg/dZd4m4dwrrTlavP0cJoP8YxT8onw6zD+byWmDz6QePMS1L8BPPDOrQn3BnlWAT/Ea4RyVsgvY8TyZedlXZ0hX1cvvuLCv/1QUW8D/fDMgfPFfni6jNVTaL4O9azBfuCOsPoLjVj/ldgPjXfZfQmT8b7OYD8o8+x+heL/9IMm92B7zD/9IPhhPyzFfliO8ZL/6YdH90BfFfWvYD8YZABPx//0w8H1wH8B+QdK9cP6wTgfokbzzVLzQdIZPv8gMhrIV+F8SN7E3hc9iu9rFc6Hh27sPVI1fI+9bsN8uBrI3i91xvd7E+fDlr3svQsi6fnQI4C71rb5n/kgXMb5UI3zYX0ZxPfHeHnQJ6+cQV8P9f1xPvSFeUVbcV7l4XwYDPONnkV+q+X/zgejJR6Qb8No/q70vuDHQz84R3HquC+6wrylZjhvK3BfDP2bzWdqgfO5GPfFZFc2z2kyznMj3Behf3/7Z/4LCdL7QiWW36eU/M++EMS4L6JwX4T2Z/tCcMb4ZtwXH71Bn0f987gvvBqBx+N/9gVvD/wpyF8rtS+MZuGctHLl5dE/RME+Bb4cl//zD7vAP1CRCezfUvQPNrCvqQnua9zvtBT8Az2C+30p+oesV8wPCMul/UNmBC/kqv3jHwRr9A9T0T8kzP5v/F30D17ZoH8Q9U+if2hVAJ4w5HkO/GQm8hejf5iC/qFZOt9Qd74C/WQi+Cvqiv7KEv2k6hTmx2gX9GP70E+uXcL8G12G/m30CvCT768wvyf88ZOPwB/SsIET/vGHQpC0nxTN5pIaHP/xk4IJ+slG9JOtc5mfFP74z6foJ1t40N+J+ofQT6YkA08I8siin7SbCPxjkJ+DfMk9zNcP820InBGfN8qVHujY+CZ4aizRWWdS3DjTky444PFTQWM29feVO/XWdxjRaFjs7fLcj6a0b1rU6BdB4/b03L3huyJZZbSn3KY8jN6aP6pXdnMA/aJbtEOn7o249uaEd1G/5tKHtbO35Mo70ZuF966HjmsQ6vcofM46E4V1mMdHL6iv3Ff3RvDefPnA/d7R9BHEk4J9EN+E8bWgT16PA/1y1PcFHvI9C3iCkMcV+Mk0H+A3Rf6dkC9pwnwPrYV8NXoNuOVguYDuZeeBsH9KrTnnkuL7l3/G0mdysXeaZhgQWWuLWT9S/WjzbIUhiVURtHTyW5m1yipkftnze7MOhNHha0Wfct0D6fm73rGNse3ilJnjVzeNnEfnRFSEetg40SknXqwoOvhG8DxcMOj+daxDth8vO7jN5EfYFyGm4fIo/5HRdD3Ek0cHId4J45VBn7jcBP0s1K8EHjIceRyQxx/4ybWBwD8e+W0gX3JeOt8ST97ig854+cR44ErGz0Uo6vONsx8feHAslsoNHzb2e5EBCSfXHhxN9ab6ezx6liyYS+O3vlLfHKNKMr4dXXB7exit1K4L6NsriCpcaqvTyv0pPmt6YtX4JfPoQuVpqiq1TvTthynJE7PbhGPC7FETukfD1yu14Ztoa9cpqp3oZ7+KPiHev+cUxJP5zRB/FOOLQJ8UCqCfgfrjgYekIM9D5PkC/CRQBfjdkd8F8oX8eQ/YCzkBvKnZdRud1jjgKsefV/+K4vLmr7CYGBFLMydvedP92CBis0SxU6ieNzU2yjW1bJxLDX2akkO7KhBXh+vztu4Io45L5yfKHQ6ibwo+ZTwK/SjWWfOyPqz2dz/Uepb1tnemz2a87tkmaRUUhhDFF4ZYhzR3vv/98gEfX/wQ7tamJm7YGk1DIZ7sN4X4vhhvBvpk7EnQn4b6HsBDynyBxxJ5ioCf9JoA/M7ITyBf8Gml9vhz2mn8Pre773ZVQR38YqygPlFefFzJVZnLbrE07LpbY4fGZ7FCZ73Dhu7edP5MycaA3+8y68nX1BeDvojbtbul3CoOo9NcB27kngTR3d07+JoLD8Xvejqtndg1ih7u2+rnudOZ6odn6J4rfi50zYpK/uaNdZDM4kM1naI8zVuEQZ0jZe+ciaaFEE80LCC+L8ZbgD651/6V6T9EfTPgIfbPgacNeRKAn9RVAv8zGeCvh3xZHRa8Rl/d34fP3C5ya7gMdch+MwrqIPLmri1uCxjqHMvOjWY48ao/UnbeDvCmLa3bHYq7gN/wmxvIvc0fq1NwOYwu6VP1s/1NEOSXOpiX7Wni+lM2iioOvd/5TT58PqRwfCAvWjD64vQQrENREPt6Ub99xJFRZ7UOlUbTDiUWzzj7N83jfs6HeE/Qh3vc7cPJoP5z4IE+3zeKr0WeW8APOpF+3MvvwH8K8mXnkeYuUIeWMVyhVD80HMOf3wbN4GOwHyxusnoK5tgPwdgP71+z+gsvsf7u2A/b3rD7Eprxvnr0g34YtJDdr7iXdD/YR3Hpw1g/iBWxHzQgnrzygvgBGK+F/TDoJeg/Qn0j7Ifd9cDzv/0QdRX4uyF/tVQ/RJlzkG/uRE5Xej6808X6jOKO4Xwg8L6oAb6vaTgfKr3Ye6R/3uN4nA/2Wez9CoPw/Z7D+fCKsPcu7io9H0S2/IiPbD6IH+J8WI3zgRpB/ECMt8D54HIG9DVQ3xbngzbMB5qAPMdxPiRoA78f8ltKzYeW6Z6Q78w5/HjpfbFpMpxLNPjnuC/uwr6gVjhvJ+C+8NvE5jMtwfn8GfdF6BU2z4UVOM8rcV/YtrH5L86V3heR87mMq2xfkEe4LzbivjCCfSHOxvg83Bep50A/B/XlcV94wL6g55GnDfeFFuwLaoH8QdL7InUq9ENfP24K+oedsE+Br8cUfgb6hxfgH+go3L8P0T846rJ9Tefgvh6L/iH6DdvvQibudxv0D3I3mB8Qz5X2DxIPPl2J+QdxAvoHB/QPq3dDfDjGq6N/aK8E/Q2oL6B/+AH+gcYhjxP6B1nwD3Qs8rujf6iRzvfpbP4Y+skM8Fc0Hf3kavSTam7Mj1E59GMH0U+65DH/Rp3Rv11BP/nZgPk9oRT93mX0k65rmT8UP/iPn9Tir3owPyn2QT8pcwf85I/DEP8S41GfnHt5lunnoP509JNX9gPPcuTxQT+5yh34FZC/Ev1kJeb7xz8fSr/SKXX7732y8Ff98cxFRJM7v100MITuUBzB35GLpN10hzxouTuKzO1qlTdSJYLmB456wm+IpvfWzJnsul6ZJETfCIx9E0NLSi8oPcoLpht6hweutWwRNulrROd9jKNNGTZDzpa40Pqc/fqVH7rQ4NP6V1Vi8R2KJnAcublWdll3qv2lpcfFZfG0EeLJd4yfhfG3QJ/07Qf6h1A/F3jI+BTgCUae+cBPnuoDvzXyl0G+pA3z/WIA+apb2zffGLOMPmHnEfBufvubUXMPqRzJWkSnzS0dslnZhHR6uq7xVdcIumnx+RDDt9GU1C0m/rYqZLFs9JfACbHUgHbp8cEshFKDocFXNn4XrIa6fbZ3jqdlnY/ranS40GcJC44fMZGjfhYvjMVXsA5G+nzzrvKqNi95umlR9yEnauLpLognlxZAvAvGoz45ORH0nVE/HXhI7R3giUEeNeAndXOAv60B+MdDvuSddL7tjnyCaaf72ouW4D63hrmx1Z1bOEv5kr3LInrPvdeLZVXGRCgZKuNqEkoPrL/0+vHbWLpk5NONtqdVyIb7rdb2u2PpF/8p6+8Zh9KmLYMWxDt1ofUv7S8pNcXTBzskFuZprjQh0pArlhtCy6x3GvexTcB+cOcj3JbN+EiUqZv+8sn3HBLoM4gn1XMgvgTj34E+8VkL+lWovxV4iP0I4FmPPGuBn1xH/jzkz4V8wYcU4M8ftsfwA0U+vosbFgOX8gQ4z9bh+s3WyBcNWUQvGjZ/Srk5iPS3yzESrobSux/tN8baxdG7J52Nq8b0Jw4DxWPzfsXSipOPLj5UCqNj4hbNmntBRDeNipo2IzKBbou0OL9oqBv9oFo8bvO8gbTT5uedOl/BOhS68kcuWpvpz1SgDZcTRuRcTqBHIZ5MUIN4EcZXgj5ZFgH6aah/BXjI6dPA44M8CsBPLhgD/wDk14Z8oQ9M0C9pePA7nzlsOlUFdagutIQ6/PaTB7oP3nxYfhH1yH/qtlT0Utw33zBlTnMoXTLZvikrOI72sf27I76qRiw7Yka8/PA4WlB3dOk+nzA6Mu3VkxseH4TK5JJ+4ZsSqO+CAbP6zXOjGhq2GQerZWi+/GWLr2+xDmmB/NPvmaaKX7vSd+cTD5S+SaCHIJ5kKUH8GYw/AfrkQiboU9QPBx6iOht4OlSA5wTwk+UC8NceAf69kC+rQ6YO+upSYy5mWLeGpKvYD/seGbA/q4J4/fzDqRt+14H9/xFu3KD7nSIK20Kp3vVHu2dGgu+a9dmRN/noNmWIehzt6zN9a5d5+PO2M07cmqTk1Y07E+jkE29nPF6Jf8/RVIfr023L06ufsQ7psXAfzTpc8PPWzPy2BKoF8dC3xxw5WYxv8mb67NzooDu/CPUNgYedpx0dyVsjD/Kz8+oJLtyXOuCfD/my87o++P21Vxi/VqofCgX8vFB7EHcI+6ES+kG4h/WUYD8o6bL6Cz+x/nnYD9kF7L7ExXhfAdgPL9XZ/ZIc6X4wsuO7fGP9QB5hP2zFflCFfiAU4/OxHwz3gv5F1I/CfjBKAx4Z7M987IeltcDfjvyZUv3gl6EGdVgVystLzQcjZyM4T5vBdcf5cGIae19UEd8Xj/OhfyF7j9Qe3+MTnA/hMB9IPr7fXzgf1o9k753ISc8H0QCu9DKbD6Qa58MjnA8XYZ6QfhhfivPBB+YDyUL9HJwPqqeAJxx5huJ8MCHAL4f8rlLz4VWuP+T73ZNfKbUvjJbg589fGXMRuC8iYN7Sszhv03Ff/IR9QdfgfO4TAPvCGeY5eYjz/BTui4vhbP6To9L7ItuTv+XM9gXxwn2xHfeFQQTEX8T4n7gv6taAfjXq78Z90UcVeJKRZynui1nIfxz5d0rtC9Gyafh9hA2njP7hNexT4LMn/Fj0D/dg/9Ku6B92oH+4dI/taxqL+5qgfwjQY/tdbIP7vQ39QzP4BxIo7R8kTnzCDuYfyA70D1fRP0zE+BCMt0L/4M6Bvivqr0T/sAt5EpFHHf1DEfLXon+Ygv5BNVEqX8Ug3gD95CvwV7QD/VUk+kl78GN0HfqxPPSTfZcx/0b90b9Vo59814f5PXEG+r2uu8BPPipg/pD4/8dP2vA605mfJBroJ7tBPHE8AvFzMP42+sn1g0A/H/Vz0E8uAz9JY5EnAP3k0snAb4n8SugneyRCvkPRP9uYFfkPHRf42/+OvjBJfSWxG3E7f2zeAjo4Z9eOn5+i6VL+uoPdfFVytEBn/lWlBVRVp+p+b/l4Gly1OnTBl0507RxZrYlHF9GiX19rO76F0FJNseqwSHXqlzCmNE20iI67mdLabaYLfTJVpqitpzoN2Wr5uKNxIdSh1IMv+Gmrk3puFM2vzZhZsGAh7QbxZJQuxAdjfAHok2DUD0L90cBDjpcBz2bkGQ78xEsA/uPIvwzyJe8wXwvMd2u8rdfuQ2uwDvj9qIovF/Z82yv5HSvoqPyY3loZFqTSzHNvTvQCetE7c+POs/G0mVvazSapB13eVZj31C6Jvuz0eo1nSiitHZeXsOG8Jv28p8ulKZGLqE/zmo+PjV1osbrD1qbB42jqz2QyZVIi1KG/H2d1eJXSi/dadEBkYMJ6YSE1gniSOgriN2L8fdAnTZqg/wX1LwEPyZkKPGuRJwL4iTvylyL/HsiXvJHOt8WF/+Y6WnFK/SrG5dffF33FaK50eOiCbTkraJjbwXytmWYkpCnLsvhQIlW6/758ZteFdL2Sf2W1e19q9Hap+c03S+mYQaNsUyLCaEWhTMqKMRNo7Sy7Qz/bF9OdPl1eDoh1oaZf9RR9zSbS9P5j1V87JuEccuEO/DgxenXgRBqZ6XSyu/C7ryCeBHdAfCrGDwN9chL1H6H+AOAhP9WAZyryCMBPriG/E/LLuLF8Wf4NWc7gE9xn8wcrz5V/eczqILlpZYPzM4JbPsPv3JzTK6h+sePjq115cWigaER+10VUd1i08brEhTRCxm7P9HtdaN+/r3yo1pDQnKTyMWV64VTvlXzH9SRVeuB1sjHxWULzXRJsNp52oRKzM8F7ZqpTC7k94+buwjrUhfL7r1v6N39Vp4unHVrw4scimgPxpM4c4vUwfjvok79QvxD1OeAhg3/aMp6eyLMB+IlcA/B7IX8u5PtPHUoXP8B//yQlgr+9bA2f/IjVobR1K/x9PZG9JXdhbveSSH4FpYs85M42HxQv7RAC6n/7quUuPlueZyykPdSqBlufeCf0Sp96Nm6ShErEA3W7Lg6nkVPzb4W5d6ajA4XptyOXUPKt6eRpGVf6NqtBbZhcH6rjEp25+ADWodCLd6zVT3iT049uSv5meL9zEnWFeLI1HeJVMH4/6JP0KaCvi/pJwEPei4CnB/IIwE/29gH+Bch/H/L9pw6Fsjfx992KPvw9vU7+FtAPIpEdfr5U24lbq69uoySsYOeZnQM59xMdV28MXkTjet5MfLMX5tyrwjjuVlHLpbFTJPSHjonbrA3h8L7ywrlZlSNe6s1bQtcUb/borOgK+hvt+cpumWO6H8Q6+NnC16t24106R7y9/LsOuyEe3m2wOX8L41tBn51LxpnxXqg/G3ggfk8gX4k864CfnWtMm8cHI/9LyJed22uaw9fv78SX/dsPotrrY/H7zVCuGPvh8Qu3f+oprMd6rsR+2PkXq7+4K9b/KPaDug67L6KJ97UC+0Exg90v0ZLuhygPXqmO9QPZjv3gg/1QBf1AxmF8DvZDA+proH4o9kO3n9cYjwzyYD8Tf2PWD8JK5G/+tx8k+4vgc+6iBjN+17/zIbtLL1s41zbik3E+fP3I3pcQg+/LBueDiojNB9If3+MpnA8L4P2Scny//jgfwmA+ECPp+SDS4t7AfCArcT4swvkQDvOBmGB8Ks6HZNQvRX09nA8pv9h8IH/m1TqcD7nJDozfFflP/jsfqsllR8jXaCrfKrUv7L2NoE9aZnFFuC8U3dm8pUE4b+VwXxiPYvOZGON8NsV90XiczXNyB+d5Fe6L17AvyHbpfWEk5txgX5D5uC/KcF/IYnwKxk/CfaGI+lWo3wX3BVX9L08J7ouhsC+oJ/L3kNoXklz8PUWDG5eN/uE27FPge+TH+aB/2An7l17D/VuM/qFen+1rEov7up8M+IdjsN/JL9zvdugf2sA/kGXS/qHFn9fIZf6B9EX/YI3+4QH4B7Ic47+ifzg0FvTbUb8c/YML+AeSjDyR6B/6IH8B8u9G/9AqnW9MPH8V/eQd8FeUoL9SRz95B/wkPYB+TAH95L0i5t9IKvo39HvURIv5PRKNfs8Q/eQR8JNkrrSf1A7gN/1gfpIUoJ8cin6SYHw4xgvoJyvGgH4E6muin9x9GXi2IM8w9JNXkT8H+VPRT77BfP/4yfTOZc7JQz2o4rwxN4wNt5AR/Z8Mejk0nqbVXfWKlo2mkqvaH+1yjok1FN4krxoXS8M0lTVWxMZRB/33NS9mj6WGozcs+GSTQJP7Gi6eNyyQuuXodY5p1aItkhoVzd/fn/fTUMuaZWBH1WI6P+5lrUHb7DYs6rgVA3WQmHFnD993vj54NA1W3qOwzzGGPh/N4olDLMS/xfj5oE9u/49+APAQ+6nAMxV5koCf1KbqMH515C+AfMlIzFcB8/1Ucae8+PpWOpSdryDF24+s7C2zkt6ZqmNh9mUdvbuo9/X9bnJUcX/GqBPyqbTsbuiaay/jaMbq7+vcn86kiV8130Q4rKZWhVsPpvcJpEo/fOPeHrKgenFV3i/0V9DoUPce3Zba0uAWHeHKoRn0W9HxHi4TluGcnMz7DPC9ElZgSnN1PfccTpNQA4gnVhjf9RzEm4A++f4d9HVQvwJ4SAHyLECeB8BPTBL/y/8d8iVKmO95zNexvJ/n4datjEv7vSXnppixqWHCSlo/0rZrWvYGGu3fVmq/W4EG6xSYBy/cSAf/iDVXnTafypXs7jjWYE1VqIfnG+PV9GjuGsve/f3p7ZwV1ovuWNDaGbpB5z8vp9aGIz/cNbKm1pr6pcOCzOjdBdXmPV9KoA6h3tzo8huJOWtnUJlil9HeFhJqCPGkP8bfx/hM0Cc7Uf8u6isADynggUcVeZ4CP9nqB/yByO8B+bI5GVQaw0divkXH3UI/dUAd0gu/FEddGzajUXcl3THokbnD6Q10zF++5p9efBLWtwe1JP/W+SvxzrGuufPpq07tnxOn9qFe6f5KAyetpoo231zjCvyp/ktftfd5qjQqLN9uWslyemX1fr2Jk61p1oHLT9yaRtJJX9/3Uz2IddBw5RReqrpfF6lRIeuv4A1dJfQixJON+yF+PMYrgz5peQH6c1FfDnhIuAh4nJFnM/CTU8OAPw35L0C+/9Qh10s/ll+I+TbEn3TJ/AF16OA/G5iM7nGtQH8lfTJ0huSqsIHWH1gw9eCaB0K78o94kriRTtptd20LnU8Lj7feWmXUJgyfVzxYftxq+kE172HlfX8auj+IFI/pRCe1ztSqyl9Orb4PXGK73ZquCK9IH7m7OxX2TKm8tQHrkBjFXW1ckuP4ugfNHLX3TVPdUpoM8WRDKMSfw/ha0Cd2e0HfAPX/Ah4y5QTwqCHPM+AnN0KA/yvyN0O+/9RBQ8Y4lHfEfK81/Mw0+wl1ULWz5pX67P6gOHUlbUmdsS76/AZ2bvTSjm81Nt7/6Hc9dV905s9cms/OVeb4ca4Hd60O1lxNfVOK7oXg38OTbLDgdIX7Lxpzl9N+WqPo2EL4d61LrwRw2xWvfeiXgnVQwc+125hx16/Zfqq6tpROgHjY72F+/A6MnwX67Ly01ZXjUF8HeCDeMJhzRJ53wM/ORQtncy3IXwP5/nNupCUbzY/FfJ/92w9Gi4vN+D/9UI/9kJrG6in+ifUcg/2gLrD6izWw/k3YDxugH4ge3pc99oN9JLtfwkv3g5E23+kF6weyDftBwH6QhX4gRRj/A/tBaQ/o66O+MvaDTj7wqCLPI+yH1TuBv/n/74dXlV1D+ZmYb8m/86H/jJopXCi+lzScD6Ej2fsSb8f3NQjnQ5sMe4/kz3wYg/NhO8wHEoHv9wnOh2qYD2SC9HyQaHPXGtl8IOdxPlzF+ZByEOInYvwAnA/9G0H/z3zoi/PB7/sXxuOIPOk4H4JHA38q8l/8dz5YPGgN4lMwX+l9IfrZmwvC+fkY90X1bDZvSSjOWzncF71gX5DR/7MvHsE8J49wnifhvrCA+U/+sy8WOHOzYV+QP/tiNe6LyRh/B+O34764gvoPUF8W94UM8oxEHtx3pAr5fZDfU2pfJJ4N/L990Yr+AfcpPYv7tAb9g8pitn+JPO7f6+gfqmBfk2Tc167oH27AfieTcb9boX/48Z75ASI6J+0fdHlX8A8kD/0Dh/7hDsZ/R79hjv7hyv/oV6F/WIw8f/zMQ/QPFkuAXwn5O9A/aGG+NzDfz+gn/wJ/RbXRX61FP6lWM/kfPyYooR+LQD95BPwb0UH/loV+Uu4A83tEtAz83nfwh7QjivlD0iLtJ0t1uL8OMT9JnNFPvkM/qRkN8e8wXoJ+ct9B0H+OfjIY/aQV+FtiijzL0U+qLWF+UlBF/r3oJ9UwXw7z7Sip5nReulJRFb33otNwUhGcdeecjQ+dLFh2yI6OpSuTlpmKPLbSV8OPlIQoetF3mSfiC6ck0CVOk+7eD0mhovIbftfSQuhYh44HXXr407Fe9gPtk5bTdpdj8q/lZ9N7C5dsuXzaita5RNYUXFlKjaytlT8H4udxSo35uiEXLoy3XkKblnhtzLoVQKsgnlRjvB/GK4E+UUX9/q6g3wY8JB55Wi4DjwnwkxTkz0Z+OYHlS8oqIN+vsyFfdXMF2/jGbTTtwMpxNjk/hCLWJ9uoJjtfSdcxnWTaIt8sW660Hft5AL+Qfd0FVNli+OD4Zxtw7qlwGowzhso5zUsrnbka4xX5KpbXPPr5vXNZrmcynqtgHebSLmZBN58shp9/iSYb8JUY/1E6XmUsPxz1ZaX1sy34WORRQJ5RwI91SKZvkR/y2kbWX4N8L2K+SZdHm2QX/f5zVsY53zlK1JvNjW10BTtfCV/nyyw+dfCJBfc+bUN+HfZ9u1EvR7573MvMpxvX4v3Cv3csmmzOd9VpObw+/w9/f/x8iSWfv0e1/WH35XBeoQnxGmJ+aeW1a9GmODdU8N/zyjXjT0nHF02E8x5T+E7S+pIZcN5ox4uQZwHwg39wJfwG5F8G+ZIH/pDvPMw3XG5/asbxbVTp0l+PYjI/CCFsj2yjMewc6qDIe/OaWuER697+qYMs+7r2Bxz4LWnXBvsGYx0kmO8WbV6n/qf6gEl/7r0f/rxDl1/ZNLNZbSPmqz0EzqvEvMGcXqJ1VZL/6x/2h+skfq10vJ8GnPua8VOk9UPhc+GScCN+G/IEAz+rQ8NKe14d+aMgX2JxF/KVYL47zpzrcevYNrrtaJ/WwG01ghHzFdvoHnYOdSi0sOFFoX2XPG/COhjB5yy14yx5UfLXnLkua/+Tb3bn6fxVnevaUwb/qcOvYvafdSZ8Soza1DWhmFf2L/i8hQPHG5/s5R9x4I+vgM9hSEwJv1063m8c1OGyKV8trR+Fv68dYPR/PNuBn9WhJWoG3x4C/JmQL1F8Cvm6Yr5nqtWehRyD/PprRnEqzGduoyXsHOoQXOnMy/+4qGvwpw4i6E/lV47837vb04Y5/nkXCuy86PJ0vkV++Qmh/5++7QP3tdKUP+ahfLDJF/MqHcnO/daI+XnzhFlFGViH7K5wPkrMl0jHZ6vAe5w0mf8gra8Nn+ORv2PPv0Kek8DP6tA/SJcfgPwU8mXn9vJR/GTMF+tDQ9JZfcQGWJ99//aDZEYvZ74jRLof4N8J9HNz4btK94OkLztv+TmDv/6ffujE3kvpB0M+Tfp+k0ayc4npmP/2wwFVuN/P0/hU6Xh7qJskbwp/V1pfEeaDRN2U7408GVL9sOSe0//1Qxb2w6vukK8F5vtnPiyoYO9FHIvvJVpqPkg6z+TVpOeDBDhLK6bzWf+ZD31YXn5fHfjJ0u/XSB7yctbnU6Tfezb0iciF8IbS80EW732AyX/jo+DzK0ZuRv/VF82EOvyeM3/mVYDUfJCoq/zffMB8ydl9kG8y5puI+yLQm81P4oPzUyK1L6JUXfiN0vtCAr/nyJ5jxctK7ws/FZiTQSb/3ReSdjYfRM8m8ael578a3K+o1IifL70vbPDcfjBfLB0vUYJzQyO+m7R+A37Or4Xwv2KBJ056XyzQ4dcjP+ZLZrlDvlGY7x//EHqO7VPxcdynWugfkmH/kg//8Q9K3HLY10RV2j9kq3JDYb+T/tL7XfLD4Bb4AdIm7Qf8lP/4B9Jd2j90aPPlGP/uP/5Bl1dF/b7S+r/361zkkUee4f/1D+Qd8mugf7A9Aflex3zPoJ/MvsX8FU1FPzkW/ST6MZLxP35yGfg3Uo/+bSL6ySHg98gfPxmNfvIq+EOiLu0nJfb8A/CT5Az6yT3oJyswfjzG90U/OQz1n6H+Q/ST4cjTjjyT/usnSRTyd0E/efAa5HsU8/1/0u+Myg==AQAAAACAAADIfAAABg4AAA==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AgAAAACAAAAAegAA7REAAIAQAAA=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AQAAAACAAABAHwAA5wQAAA==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AQAAAACAAADoAwAAEQAAAA==eF7j4RkFo2AUDHcAAK4tLuE=
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_2_t_86400.000000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_2_t_86400.000000.vtu
new file mode 100644
index 00000000000..35410c30a84
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_2_ts_2_t_86400.000000.vtu
@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="41" format="appended" RangeMin="45" RangeMax="121" offset="0" />
+ </FieldData>
+ <Piece NumberOfPoints="1331" NumberOfCells="1000" >
+ <PointData>
+ <DataArray type="Float64" Name="ic_0" format="appended" RangeMin="0" RangeMax="0" offset="92" />
+ <DataArray type="Float64" Name="ic_1" format="appended" RangeMin="1" RangeMax="1" offset="160" />
+ <DataArray type="Float64" Name="ic_minus_1" format="appended" RangeMin="-1" RangeMax="-1" offset="244" />
+ <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-1" RangeMax="-1" offset="328" />
+ <DataArray type="Float64" Name="v" NumberOfComponents="3" format="appended" RangeMin="2.5853207814e-23" RangeMax="1.2896383744e-21" offset="2056" />
+ </PointData>
+ <CellData>
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.7320508076" offset="42752" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="47564" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="59344" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="61044" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
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AQAAAACAAADIfAAABg4AAA==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AgAAAACAAAAAegAA7REAAIAQAAA=eF6F3FWwdwXZhnH3BqRbulOU7pZOkVKQEl66u7s7lRRUQkJaUFrgpbu7u8Pu4Dv47t/Bfmb+86yTZ2bNuq6j6+yeWV/72v8/Q7kT5I6fe2DuQbnH5h6TixvOnTCXB3dw7nG5PLgxcifK5cEdknt8Lg9uzNyJc3lwh+aekMuDGyt3klwe3GG5J+by4L6eO2kuD+7w3JNyeXBj506Wy4M7IvfkXB7cOLmT5/IckXtk7im5PLhxc7+Ry4M7KvfUXB7ceLlT5PLgjs49LZdHZ3qZKnfKXJ3p5Yzc03Nxepk6lwenlx/n8uD0Mk0uD04vP8nlwell2lwenF7OzOXB6WW6XB6cXs7K5cHpZfpcHpxezs7lwellhlwenF7OyeXB6WXGXB6cXs7N5cHpZaZcHpxezsvlwelu5lwenO5+msujM73MmjtLrs70ckHu+bk4vcyWy4PTy89yeXB6mT2XB6eXn+fy4PQyRy4PTi+/yOXB6WXOXB6cXi7M5cHp5Zu5PDi9XJTLg9PLXLk8OL1cnHtRLk4v38rlwenlklwenF6+ncuD08svc3lwM+fOncuD092luTw608u8ufPk6kwvl+delovTy3y5PDi9XJHLg9PL/Lk8OL38KpcHp5cFcnlwerkylwenlwVzeXB6uSqXB6eXhXJ5cBflXp3Lg9PLwrk8F+Xq5ZpcHpxeFsnlwenl2lwenF4WzeXB6eW6XB6c7hbL5cHp7vpcHp3pZYncxXN1ppcbcn+di9PLkrk8OL3cmMuD08tSuTw4vfwmlwenl6VzeXB6+W0uD04vy+Ty4PRyUy4PTi/L5vLg9HJzLg9OL9/J5cHp5ZZcHpxelsvlwenl1lwenF6Wz+XB6eW2XB6c7lbIXT4Xp7vbc3l0ppeVclfM1Zlefpd7Ry5OLyvn8uD0cmcuD04vq+Ty4PRyVy4PTi+r5vLg9HJ3Lg9OL6vl8uD0MjqXB6eX1XN5cHq5J3d0Lk4va+Ty4PRyby4PTi9r5vLg9HJfLg9u+dzv5vLg9HJ/Ls/yubpbK5cHp7sHcnl0ppe1c7+XqzO9PJT7YC5OL+vk8uD08nAuD04v6+by4PTySC4PTi/r5fLg9PJoLg9OL+vn8uBG5z6Wy4PTy/dzeUbn6uXxXB6cXn6Qy4PTyxO5PDi9bJDLg9PLk7k8OL1smMuD08tTuTw43f0wlwenu6dzeXSml41zN8rVmV6ezX0mF6eXTXJ5cHp5LpcHp5dNc3lwenk+lwenl81yeXB6eSGXB6eXH+Xy4PTyYi4PTi+b5/Lg9PJSLg9OL1vk8uD08nIuD04vo3J5cHp5JZcHp5ctc0fl4vTyai4PTndb5fLgdPdaLo/O9LJN7ta5OtPLG7mv5+L0sm0uD04vb+by4PSyXS4PTi9v5fLg9LJ9Lg9OL2/n8uD0skMuD04v7+S+nYvTy465PDi9vJvLg9PLTrk8OL28l8uDG5W7cy4PTi/v5/KMytXLLrk8OL18kMuD092uuTw43X2Yy6Mzveyeu1uuzvTyce5HuTi97JHLg9PLJ7k8OL3smcuD08unuTw4veyVy4N7O/ezXB6cXvbO5Xk7Vy+f5/Lg9LJPLg9OL1/k8uD0sm8uD04vX+by4PSyXy4PTi+/z+XB6WX/XB6cXv6Qy4PT3QG5PDjd/TGXp9s3/pT759z/5f43t9s3cH/J/SqXp9s3cH/NNbjwdPsG7m+5Qwab3G7fwP09dzgcT7dv4P6RO0Y4nm7fwP0zd8xwPEfkvZ2i7hu4f+WOFY4HN2jfwP079+vheLp9A/ef3LHD8XT7hs70Mm64cXK7fQOnl/HC8XT7Bk4v4+fydPsGTi8TFE+3b+D0MmHxdPsGTi8TFU+3b+D0MnHxdPsGTi+TFE+3b+D0MmnxdPsGTneTFU+3b+hML9/InXxoJDdo38DpZYri6fYNnF6mLJ5u38DpZari6fYNnF6mLp5u38DpZZri6fYNnF6mLZ5u38DpZbri6fYNnF6mL55u38Dpbobi6fYNnellptwZh0Zyg/YNnF5mLp5u38DpZZbi6fYNnF5mLZ5u38DpZbbi6fYNnF5mLx7cxbl138DpZY7iwQ3aN3B6mbN4un0Dp5dvFk+3b+B0N1fxdPuGzvTy7dxvDY3kBu0bOL3MXTzdvoHTyzzF0+0bOL3MWzzdvoHTy3zF0+0bOL3MXzzdvoHTywLF0+0bOL0sWDzdvoHTy0LF0+0bON0tXDzdvqEzvSyau8jQSG7QvoHTy2LF0+0bOL0sXjzdvoHTyxLF0+0bOL0sWTzdvoHTy1LF0+0bOL0sXTzdvoHTyzLF0+0bOL0sWzzdvoHT3XeKp9s3dKaX5XOXGxrJDdo3cHpZoXi6fQOnlxWLp9s3cHpZqXi6fQOnl5WLB3dPbt03cHpZpXhwg/YNnF5WLZ5u38DpZbXi6fYNnF5WL55u38Dpbo3i6fYNnenlu7lrDo3kBu0bOL2sVTzdvoHTy/eKp9s3cHpZu3i6fQOnl3WKp9s3cHpZt3i6fQOnl/WKp9s3cHpZv3i6fQOnl+8XT7dv4HT3g+Lp9g2d6WXD3A2GRnKD9g2cXn5YPN2+gdPLRsXT7Rs4vWxcPN2+gdPLJsXT7Rs4vWxaPN2+gdPLZsXT7Rs4vfyoeLp9A6eXzYun2zdwutuieLp9Q2d62TJ31NBIbtC+gdPLVsXT7Rs4vWxdPN2+gdPLNsWDeye37hs4vWxbPLhB+wZOL9sVT7dv4PSyffF0+wZOLzsUT7dv4PSyY/F0+wZOdzsVT7dv7JzvdsndP3e/oZHcoH0Dt2vuAcXT7Ru43XIPLJ5u38DtnntQ8XT7Bm6P3IOLp9s3cHvmHlI83b6B2yv30OLp9g3c3rmHFU+3b+D2yT28eLp9A7dv7hHF0+0bOtPLUblHDo3kBu0bOL0cXTzdvoHTyzHF0+0bOL0cWzzdvoHTy3HF0+0bOL0cXzzdvoHTywnF0+0bOL2cWDzdvoHTy0nF0+0bON2dXDzdvqEzvZyae0rhBu0bOL2cVjzdvoHTy+nF0+0bOL2cUTzdvoHTy4+Lp9s3cHr5SfF0+wZOL2cWT7dv4PRyVvF0+wZOL2cXT7dv4HR3TvF0+4bO9HJe7rmFG7Rv4PTy0+Lp9g2cXs4vnm7fwOnlguLp9g2cXn5WPN2+gdPLz4un2zdwevlF8XT7Bk4vFxZPt2/g9HJR8XT7Bk53FxdPt2/oTC+/zL2kcIP2DZxeLi2ebt/A6eWy4un2DZxeLi+ebt/A6eWK4un2DZxeflU83b6B08uVxdPtGzi9XFU83b6B08vVxdPtGzjdXVM83b6hM71cl3tt4QbtGzi9XF883b6B08uvi6fbN3B6uaF4un0Dp5cbi6fbN3B6+U3xdPsGTi+/LZ5u38Dp5abi6fYNnF5uLp5u38Dp7pbi6fYNnenlttxbCzdo38Dp5fbi6fYNnF7uKJ5u38Dp5XfF0+0bOL3cWTzdvoHTy13F0+0bOL3cXTzdvoHTy+ji6fYNnF7uKZ5u38Dp7t7i6fYNnenl/tz7Cjdo38Dp5YHi6fYNnF4eLJ5u38Dp5aHi6fYNnF4eLp5u38Dp5ZHi6fYNnF4eLZ5u38Dp5bHi6fYNnF4eL55u38Dp7oni6fYNnenlqdwnCzdo38Dp5eni6fYNnF6eKZ5u38Dp5dni6fYNnF6eK55u38Dp5fni6fYNnF5eKJ5u38Dp5cXi6fYNnF5eKp5u38Dp7uXi6fYNnenl1dxXCjdo38Dp5bXi6fYNnF5eL55u38Dp5Y3i6fYNnF7eLJ5u38Dp5a3i6fYNnF7eLp5u38Dp5Z3i6fYNnF7eLZ5u38Dp7r3i6faN93M/yP1D7u8LN2jfwH2Y+8fi6fYN3Ee5fyqebt/AfZz75+Lp9g3cJ7l/KZ5u38B9mvvX4un2DdxnuX8rnm7fwH2e+/fi6fYN3Be5/yiebt/AfZn7z+Lp9g2d6eXfuf8q3KB9A6eX/xRPt2/g9PLf4un2DZxe/lc83b6B08tXxdPtGzi9+OHcV4UbtG/g9DIUnqfbN3B6GQ7H0+0bOL2MEY6n2zdwuhszHE+3b+hML18PN9bwSG7QvoHTy9jheLp9A6eXccLxdPsGTi/jhuPp9g2cXsYLx9PtGzi9jJ/L0+0bOL1MUDzdvoHTy4TF0+0bOL1MVDzdvoHT3cTF0+0bOtPLpLmTDI/kBu0bOL1MVjzdvoHTy+TF0+0bOL18o3i6fQOnlymKp9s3cHqZsni6fQOnl6mKp9s3cHqZuni6fQOnl2mKp9s3cLqbtni6fUNnepk+d7rhkdygfQOnlxmKp9s3cHqZsXi6fQOnl5mKp9s3cHqZuXi6fQOnl1mKp9s3cHqZtXi6fQOnl9mKp9s3cHqZvXi6fQOnuzmKp9s3dKaXb+bOOTySG7Rv4PQyV/F0+wZOL98qnm7fwOnl28XT7Rs4vcxdPN2+gdPLPMXT7Rs4vcxbPN2+gdPLfMXT7Rs4vcxfPN2+gdPdAsXT7Rs608tCuQsOj+QG7Rs4vSxcPN2+gdPLIsXT7Rs4vSxaPN2+gdPLYsXT7Rs4vSxePN2+gdPLEsXT7Rs4vSxZPN2+gdPLUsXT7Rs43S1dPN2+oTO9LJu7zPBIbtC+gdPLd4qn2zdwelmueLp9A6eX5Yun2zdwelmheLp9A6eXFYun2zdwelmpeLp9A6eXlYun2zdwelmleLp9A6e7VYun2zd0ppfVc1cbHskN2jdwelmjeLp9A6eXNYun2zdwevlu8XT7Bk4vaxVPt2/g9PK94un2DZxe1i6ebt/A6WWd4un2DZxe1i2ebt/A6W694un2DZ3p5fu56w+P5AbtGzi9/KB4un0Dp5cNiqfbN3B62bB4un0Dp5cfFk+3b+D0slHxdPsGTi8bF0+3b+D0sknxdPsGTi+bFk+3b+B0t1nxdPvGj/Ld5rk75u4wPJIbtG/gtsjdqXi6fQM3Knfn4un2DdyWubsUT7dv4LbK3bV4un0Dt3XubsXT7Ru4bXJ3L55u38Btm7tH8XT7Bm673D2Lp9s3cNvn7lU83b6hM73sk7v38Ehu0L6B08u+xdPtGzi97Fc83b6B08v+xdPtGzi9HFA83b6B08uBxdPtGzi9HFQ83b6B08vBxdPtGzi9HFI83b6B092hxdPtGzrTy+G5hw2P5AbtGzi9HFE83b6B08uRxdPtGzi9HFU83b6B08vRxdPtGzi9HFM83b6B08uxxdPtGzi9HFc83b6B08vxxdPtGzjdnVA83b6hM72clHti4QbtGzi9nFw83b6B08spxdPtGzi9nFo83b6B08tpxdPtGzi9nF483b6B08sZxdPtGzi9/Lh4un0Dp5efFE+3b+B0d2bxdPuGzvRydu5ZhRu0b+D0ck7xdPsGTi/nFk+3b+D0cl7xdPsGTi8/LZ5u38Dp5fzi6fYNnF4uKJ5u38Dp5WfF0+0bOL38vHi6fQOnu18UT7dv6EwvF+VeWLhB+wZOLxcXT7dv4PRySfF0+wZOL78snm7fwOnl0uLp9g2cXi4rnm7fwOnl8uLp9g2cXq4onm7fwOnlV8XT7Rs43V1ZPN2+oTO9XJ17VeEG7Rs4vVxTPN2+gdPLtcXT7Rs4vVxXPN2+gdPL9cXT7Rs4vfy6eLp9A6eXG4qn2zdwermxeLp9A6eX3xRPt2/gdPfb4un2DZ3p5ebcmwo3aN/A6eWW4un2DZxebi2ebt/A6eW24un2DZxebi+ebt/A6eWO4un2DZxeflc83b6B08udxdPtGzi93FU83b6B093dxdPtGzrTyz25ows3aN/A6eXe4un2DZxe7iuebt/A6eX+4un2DZxeHiiebt/A6eXB4un2DZxeHiqebt/A6eXh4un2DZxeHimebt/A6e7R4un2DZ3p5fHcxwo3aN/A6eWJ4un2DZxeniyebt/A6eWp4un2DZxeni6ebt/A6eWZ4un2DZxeni2ebt/A6eW54un2DZxeni+ebt/A6e6F4un2jRdzX8p9N/edwg3aN3Av575XPN2+gXsl9/3i6fYN3Ku5HxRPt2/gXsv9sHi6fQP3eu5HxdPtG7g3cj8unm7fwL2Z+0nxdPsG7q3cT4un2zdwb+d+VjzdvqEzvXyR+3nhBu0bOL18WTz/B6F3rep4XoWZQ9Bl6RYFq+vev23btm3btm3btm3btm1b5aruahv1Il7vHJyMOLHOZE++zFGOztq5d6//f7vU3b/ufnX71O1b97u6Q8XtWvcAeeD61f1eHrjd6h4oD1z/uj/IA7d73YPkgRtQ90d54Paoe7A8cAPr/iQP3J51D5EHblDdn+WB26vuofLADa77izxwe9c9TB64IXV/lWefuvvWPaLu4XW/qftt3d/r/iaOXo6UB45e/pAHjl6OkgeOXv6UB45ejpYHjl7+kgeOXo6RB45e/pYHjl6OlQeOXv6RB45ejpMHjl7+lQeOXo6XB45ehskDRy8nyANHL706/51h4ujuRHng6G644vHQGb2cXPekunRGL53ieneaHL2cIg8cvXSLwwNHL6fKA0cvPcXhgaOX0+SBo5fhi8MDRy+nywNHLyMUhweOXs6QB45eRiwODxy9nCkPHL2MVBweOHo5Sx44ehm5ODxw9HK2PHD0MkpdPHB0d448cHQ3qjx0Ri/n1T23Lp3Ry+h1R+s0OXo5Xx44ehlDHjh6uUAeOHoZUx44erlQHjh6GUseOHq5SB44ehlbHjh6uVgeOHoZRx44erlEHjh6GVceOHq5VB44ehlPHjh6uUweOHoZXx44urtcHji6m0AeOqOXK+teUZfO6GWiuhN2mhy9XCUPHL1MLA8cvVwtDxy9TCIPHL1cIw8cvUwqDxy9XCsPHL1MJg8cvVwnDxy9TC4PHL1cLw8cvUwhDxy93CAPHL1MKQ8cvdwoDxy9TCUPHN3dJA8c3U0tD53Ryy11b65LZ/Qybd1pOk2OXm6VB45eppMHjl5ukweOXqaXB45ebpcHjl5mkAeOXu6QB45eZpQHjl7ulAeOXmaSB45e7pIHjl5mlgeOXu6WB45eZpEHjl7ukQeOXmaVB47u7pUHju5mk4fO6OX+uvfVpTN6maPu7J0mRy8PyANHL3PKA0cvD8oDRy9zyQNHLw/JA0cvc8sDRy8PywNHL/PIA0cvj8gDRy/zygNHL4/KA0cv88kDRy+PyQNHL/PLA0cvj8sDRy8LyANHd0/IA0d3C8pDZ/TyVN0n69IZvSxcd6FOk6OXp+WBo5dF5IGjl2fkgaOXReWBo5dn5YGjl8XkgaOX5+SBo5fF5YGjl+flgaOXJeSBo5cX5IGjlyXlgaOXF+WBo5el5IGjl5fkgaOXpeWBo7uX5YGju2XkoTN6ebXuK3XpjF6Wq7tsp8nRy2vywNHL8vLA0cvr8sDRywrywNHLG/LA0cuK8sDRy5vywNHLSvLA0ctb8sDRy8rywNHL2/LA0csq8sDRyzvywNHLqvLA0cu78sDRy2rywNHde/LA0d3q8rxf7z6o+3Xdr+quUe/WrLtJ3Y07Te7Dun3kgVur7qbywH1Ut688cGvX3UweuI/r9pMHbp26m8sD90nd/vLArVt3C3ngPq07QB649epuKQ/cZ3UHygO3ft2t5IH7vO4geeA2qLu1PHBf1B0sD9yGdbeRB+7LukPkgduo7rby0Bm98L+Y/850Ri/b192u0+ToZag8cPSygzxp34Cjlx3lSfsGHL3sJE/aN+DoZWd50r4BRy+7yJP2DTh62VWetG/A0ctu8qR9A45edpcn7RtwdLeHPGnfoDN62avunp0m17ZvwNHL3vKkfQOOXvaRJ+0bcPSyrzxp34Cjl/3kSfsGHL3sL0/aN+Do5QB50r4BRy8HypP2DTh6OUietG/A0d3B8qR9g87o5dC6h3SaXNu+AUcvh8mT9g04ejlcnrRvwNHLEfKkfQOOXo6UJ+0bcPRylDxp34Cjl6PlSfsGHL0cI0/aN+Do5Vh50r4BR3fHyZP2DTqjlxPqHi+ubd+Ao5cT5Un7Bhy9nCRP2jfg6OVkedK+AUcvp8iT9g04ejlVnrRvwNHLafKkfQOOXk6XJ+0bcPRyhjxp34CjuzPlSfsGndHL2XXPEte2b8DRyznypH0Djl7OlSftG3D0cp48ad+Ao5fz5Un7Bhy9XCBP2jfg6OVCedK+AUcvF8mT9g04erlYnrRvwNHdJfKkfYPO6OWyupeKa9s34OjlcnnSvgFHL1fIk/YNOHq5Up60b8DRy1XypH0Djl6uliftG3D0co08ad+Ao5dr5Un7Bhy9XCdP2jfg6O56edK+QWf0cmPdG8S17Rtw9HKTPGnfgKOXm+VJ+wYcvdwiT9o34OjlVnnSvgFHL7fJk/YNOHq5XZ60b8DRyx3ypH0Djl7ulCftG3B0d5c8ad+gM3q5p+7d4tr2DTh6uVeetG/A0ct98qR9A45e7pcn7Rtw9PKAPGnfgKOXB+VJ+wYcvTwkT9o34OjlYXnSvgFHL4/Ik/YNOLp7VJ60b9AZvTxe9zFxbfsGHL08IU/aN+Do5Ul50r4BRy9PyZP2DTh6eVqetG/A0csz8qR9A45enpUn7Rtw9PKcPGnfgKOX5+VJ+wYc3b0gT9o3Xqz7Ut13674jrm3fgHu57nvypH0D7pW678uT9g24V+t+IE/aN+Beq/uhPGnfgHu97kfypH0D7o26H8uT9g24N+t+Ik/aN+DeqvupPGnfgHu77mfypH2Dzujli7qfi2vbN+Do5Ut50r4BRy9fyZP2DTh6+VqetG/A0UsfedK+AUcvfeVJ+wYcvfSTJ+0bcPTSX560b8DRywB50r4BR3cD5Un7Bp3Ry+C6g8S17Rtw9DJEnrRvwNHLN/KkfQOOXr6VJ+0bcPQyVJ60b8DRy3fypH0Djl6+lyftG3D08oM8ad+Ao5cf5Un7Bhzd/SRP2jfojF5+qfuzuLZ9A45efpUn7Rtw9PKbPGnfgKOX3+VJ+wYcvfwhT9o34OjlT3nSvgFHL3/Jk/YNOHr5W560b8DRyz/ypH0Dju7+lSftG3RGL726/51h4tr2DTh6Ga54PGnfgKOX3sXhSfsGHL10isOT9g04eukWhyftG3D00lMcnrRvwNHL8MXhSfsGHL2MUByetG/A0cuIxeFJ+wYc3Y1UHJ60b9AZvYxSd+Ruk2vbN+DoZVR50r4BRy+jyZP2DTh6GV2etG/A0csY8qR9A45expQn7Rtw9DKWPGnfgKOXseVJ+wYcvYwjT9o34OhuXHnSvkFn9DJ+3fG6Ta5t34CjlwnkSfsGHL1MKE/aN+DoZSJ50r4BRy8Ty5P2DTh6mUSetG/A0cuk8qR9A45eJpMn7Rtw9DK5PGnfgKO7KeRJ+wad0ctUdafsNrm2fQOOXqaWJ+0bcPQyjTxp34Cjl2nlSfsGHL1MJ0/aN+DoZXp50r4BRy8zyJP2DTh6mVGetG/A0ctM8qR9A47uZpYn7Rt0Ri+z1p2l2+Ta9g04eplNnrRvwNHL7PKkfQOOXuaQJ+0bcPQypzxp34Cjl7nkSfsGHL3MLU/aN+DoZR550r4BRy/zypP2DTi6m0+etG/QGb0sUHf+bpNr2zfg6GVBedK+AUcvC8mT9g04ellYnrRvwNHLIvKkfQOOXhaVJ+0bcPSymDxp34Cjl8XlSfsGHL0sIU/aN+Dobkl50r6xVL1buu5qdVftNrm2fQNumbqry5P2Dbhl664hT9o34Jaru6Y8ad+AW77uWvKkfQNuhbpry5P2DbgV664jT9o34Faqu648ad+AW7nuevKkfQNulbrry5P2DTqjlw3rbtBtcm37Bhy9bCRP2jfg6GVjedK+AUcvm8iT9g04etlUnrRvwNHLZvKkfQOOXjaXJ+0bcPSyhTxp34Cjly3lSfsGHN1tJU/aN+iMXrapu3W3ybXtG3D0sq08ad+Ao5ft5En7Bhy9bC9P2jfg6GUHedK+AUcvO8qT9g04etlJnrRvwNHLzvKkfQOOXnaRJ+0bcHS3qzxp36Azetm97m7dJte2b8DRyx7ypH0Djl72lCftG3D0spc8ad+Ao5e95Un7Bhy97CNP2jfg6GVfedK+AUcv+8mT9g04etlfnrRvwNHdAfKkfYPO6OWgugd2m1zbvgFHLwfLk/YNOHo5RJ60b8DRy6HypH0Djl4OkyftG3D0crg8ad+Ao5cj5En7Bhy9HClP2jfg6OUoedK+AUd3R8uT9g06o5dj6x7TbXJt+wYcvRwnT9o34OjleHnSvgFHLyfIk/YNOHo5UZ60b8DRy0nypH0Djl5OliftG3D0coo8ad+Ao5dT5Un7BhzdnSZP2jfojF7OqHu6uLZ9A45ezpQn7Rtw9HKWPGnfgKOXs+VJ+wYcvZwjT9o34OjlXHnSvgFHL+fJk/YNOHo5X560b8DRywXypH0Dju4ulCftG3RGLxfXvUhc274BRy+XyJP2DTh6uVSetG/A0ctl8qR9A45eLpcn7Rtw9HKFPGnfgKOXK+VJ+wYcvVwlT9o34OjlannSvgFHd9fIk/YNOqOX6+peK65t34Cjl+vlSfsGHL3cIE/aN+Do5UZ50r4BRy83yZP2DTh6uVmetG/A0cst8qR9A45ebpUn7Rtw9HKbPGnfgKO72+VJ+wad0cudde8Q17ZvwNHLXfKkfQOOXu6WJ+0bcPRyjzxp34Cjl3vlSfsGHL3cJ0/aN+Do5X550r4BRy8PyJP2DTh6eVCetG/A0d1D8qR94+G6j9R9vu5z4tr2DbhH674gT9o34B6r+6I8ad+Ae7zuS/KkfQPuibovy5P2Dbgn674iT9o34J6q+6o8ad+Ae7rua/KkfQPumbqvy5P2Dbhn674hT9o36Ixe3qr7pri2fQOOXt6WJ+0bcPTyjjxp34Cjl3flSfsGHL28J0/aN+Do5X150r4BRy8fyJP2DTh6+VCetG/A0ctH8qR9A47uPpYn7Rt0Ri+f1v1EXNu+AUcvn8mT9g04evlcnrRvwNHLF/KkfQOOXr6UJ+0bcPTylTxp34Cjl6/lSfsGHL30kSftG3D00leetG/A0V0/edK+QWf0MqBuf3Ft+wYcvQyUJ+0bcPQySJ60b8DRy2B50r4BRy9D5En7Bhy9fCNP2jfg6OVbedK+AUcvQ+VJ+wYcvXwnT9o34Ojue3nSvkFn9PJj3R/Ete0bcPTykzxp34Cjl5/lSfsGHL38Ik/aN+Do5Vd50r4BRy+/yZP2DTh6+V2etG/A0csf8qR9A45e/pQn7RtwdPeXPGnfoDN6+afu3+La9g04evlXnrRvwNHLMHnSvgFHL716/jvDxLXtG3D0MlzxeNK+AUcvvYvDk/YNOHrpFIcn7Rtw9NItDk/aN+Dopac4PGnfgKO74YvDk/YNOqOXEYsboafJte0bcPQyUnF40r4BRy8jF4cn7Rtw9DJKXTxp34Cjl1HlSfsGHL2MJk/aN+DoZXR50r4BRy9jyJP2DTh6GVOetG/A0d1Y8qR9g87oZZy6Y/c0ubZ9A45expUn7Rtw9DKePGnfgKOX8eVJ+wYcvUwgT9o34OhlQnnSvgFHLxPJk/YNOHqZWJ60b8DRyyTypH0Dju4mlSftG3RGL5PXnaynybXtG3D0MoU8ad+Ao5cp5Un7Bhy9TCVP2jfg6GVqedK+AUcv08iT9g04eplWnrRvwNHLdPKkfQOOXqaXJ+0bcHQ3gzxp36Azepmp7ow9Ta5t34Cjl5nlSfsGHL3MIk/aN+DoZVZ50r4BRy+zyZP2DTh6mV2etG/A0csc8qR9A45e5pQn7Rtw9DKXPGnfgKO7ueX5H0d9tDg=AQAAAACAAABAHwAA5wQAAA==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diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_1_t_43200.000000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_1_t_43200.000000.vtu
new file mode 100644
index 00000000000..9c0105c394d
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_1_t_43200.000000.vtu
@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
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+ <FieldData>
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+ </FieldData>
+ <Piece NumberOfPoints="1331" NumberOfCells="1000" >
+ <PointData>
+ <DataArray type="Float64" Name="ic_0" format="appended" RangeMin="0" RangeMax="0" offset="92" />
+ <DataArray type="Float64" Name="ic_1" format="appended" RangeMin="1" RangeMax="1" offset="160" />
+ <DataArray type="Float64" Name="ic_minus_1" format="appended" RangeMin="-1" RangeMax="-1" offset="244" />
+ <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-1" RangeMax="1" offset="328" />
+ <DataArray type="Float64" Name="v" NumberOfComponents="3" format="appended" RangeMin="6.9034735987e-08" RangeMax="2.2659798264e-07" offset="6076" />
+ </PointData>
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+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.7320508076" offset="26488" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="31300" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="43080" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="44780" />
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AQAAAACAAADIfAAAujsAAA==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AQAAAACAAADIfAAABg4AAA==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AgAAAACAAAAAegAA7REAAIAQAAA=eF6F3FWwdwXZhnH3BqRbulOU7pZOkVKQEl66u7s7lRRUQkJaUFrgpbu7u8Pu4Dv47t/Bfmb+86yTZ2bNuq6j6+yeWV/72v8/Q7kT5I6fe2DuQbnH5h6TixvOnTCXB3dw7nG5PLgxcifK5cEdknt8Lg9uzNyJc3lwh+aekMuDGyt3klwe3GG5J+by4L6eO2kuD+7w3JNyeXBj506Wy4M7IvfkXB7cOLmT5/IckXtk7im5PLhxc7+Ry4M7KvfUXB7ceLlT5PLgjs49LZdHZ3qZKnfKXJ3p5Yzc03Nxepk6lwenlx/n8uD0Mk0uD04vP8nlwell2lwenF7OzOXB6WW6XB6cXs7K5cHpZfpcHpxezs7lwellhlwenF7OyeXB6WXGXB6cXs7N5cHpZaZcHpxezsvlwelu5lwenO5+msujM73MmjtLrs70ckHu+bk4vcyWy4PTy89yeXB6mT2XB6eXn+fy4PQyRy4PTi+/yOXB6WXOXB6cXi7M5cHp5Zu5PDi9XJTLg9PLXLk8OL1cnHtRLk4v38rlwenlklwenF6+ncuD08svc3lwM+fOncuD092luTw608u8ufPk6kwvl+delovTy3y5PDi9XJHLg9PL/Lk8OL38KpcHp5cFcnlwerkylwenlwVzeXB6uSqXB6eXhXJ5cBflXp3Lg9PLwrk8F+Xq5ZpcHpxeFsnlwenl2lwenF4WzeXB6eW6XB6c7hbL5cHp7vpcHp3pZYncxXN1ppcbcn+di9PLkrk8OL3cmMuD08tSuTw4vfwmlwenl6VzeXB6+W0uD04vy+Ty4PRyUy4PTi/L5vLg9HJzLg9OL9/J5cHp5ZZcHpxelsvlwenl1lwenF6Wz+XB6eW2XB6c7lbIXT4Xp7vbc3l0ppeVclfM1Zlefpd7Ry5OLyvn8uD0cmcuD04vq+Ty4PRyVy4PTi+r5vLg9HJ3Lg9OL6vl8uD0MjqXB6eX1XN5cHq5J3d0Lk4va+Ty4PRyby4PTi9r5vLg9HJfLg9u+dzv5vLg9HJ/Ls/yubpbK5cHp7sHcnl0ppe1c7+XqzO9PJT7YC5OL+vk8uD08nAuD04v6+by4PTySC4PTi/r5fLg9PJoLg9OL+vn8uBG5z6Wy4PTy/dzeUbn6uXxXB6cXn6Qy4PTyxO5PDi9bJDLg9PLk7k8OL1smMuD08tTuTw43f0wlwenu6dzeXSml41zN8rVmV6ezX0mF6eXTXJ5cHp5LpcHp5dNc3lwenk+lwenl81yeXB6eSGXB6eXH+Xy4PTyYi4PTi+b5/Lg9PJSLg9OL1vk8uD08nIuD04vo3J5cHp5JZcHp5ctc0fl4vTyai4PTndb5fLgdPdaLo/O9LJN7ta5OtPLG7mv5+L0sm0uD04vb+by4PSyXS4PTi9v5fLg9LJ9Lg9OL2/n8uD0skMuD04v7+S+nYvTy465PDi9vJvLg9PLTrk8OL28l8uDG5W7cy4PTi/v5/KMytXLLrk8OL18kMuD092uuTw43X2Yy6Mzveyeu1uuzvTyce5HuTi97JHLg9PLJ7k8OL3smcuD08unuTw4veyVy4N7O/ezXB6cXvbO5Xk7Vy+f5/Lg9LJPLg9OL1/k8uD0sm8uD04vX+by4PSyXy4PTi+/z+XB6WX/XB6cXv6Qy4PT3QG5PDjd/TGXp9s3/pT759z/5f43t9s3cH/J/SqXp9s3cH/NNbjwdPsG7m+5Qwab3G7fwP09dzgcT7dv4P6RO0Y4nm7fwP0zd8xwPEfkvZ2i7hu4f+WOFY4HN2jfwP079+vheLp9A/ef3LHD8XT7hs70Mm64cXK7fQOnl/HC8XT7Bk4v4+fydPsGTi8TFE+3b+D0MmHxdPsGTi8TFU+3b+D0MnHxdPsGTi+TFE+3b+D0MmnxdPsGTneTFU+3b+hML9/InXxoJDdo38DpZYri6fYNnF6mLJ5u38DpZari6fYNnF6mLp5u38DpZZri6fYNnF6mLZ5u38DpZbri6fYNnF6mL55u38Dpbobi6fYNnellptwZh0Zyg/YNnF5mLp5u38DpZZbi6fYNnF5mLZ5u38DpZbbi6fYNnF5mLx7cxbl138DpZY7iwQ3aN3B6mbN4un0Dp5dvFk+3b+B0N1fxdPuGzvTy7dxvDY3kBu0bOL3MXTzdvoHTyzzF0+0bOL3MWzzdvoHTy3zF0+0bOL3MXzzdvoHTywLF0+0bOL0sWDzdvoHTy0LF0+0bON0tXDzdvqEzvSyau8jQSG7QvoHTy2LF0+0bOL0sXjzdvoHTyxLF0+0bOL0sWTzdvoHTy1LF0+0bOL0sXTzdvoHTyzLF0+0bOL0sWzzdvoHT3XeKp9s3dKaX5XOXGxrJDdo3cHpZoXi6fQOnlxWLp9s3cHpZqXi6fQOnl5WLB3dPbt03cHpZpXhwg/YNnF5WLZ5u38DpZbXi6fYNnF5WL55u38Dpbo3i6fYNnenlu7lrDo3kBu0bOL2sVTzdvoHTy/eKp9s3cHpZu3i6fQOnl3WKp9s3cHpZt3i6fQOnl/WKp9s3cHpZv3i6fQOnl+8XT7dv4HT3g+Lp9g2d6WXD3A2GRnKD9g2cXn5YPN2+gdPLRsXT7Rs4vWxcPN2+gdPLJsXT7Rs4vWxaPN2+gdPLZsXT7Rs4vfyoeLp9A6eXzYun2zdwutuieLp9Q2d62TJ31NBIbtC+gdPLVsXT7Rs4vWxdPN2+gdPLNsWDeye37hs4vWxbPLhB+wZOL9sVT7dv4PSyffF0+wZOLzsUT7dv4PSyY/F0+wZOdzsVT7dv7JzvdsndP3e/oZHcoH0Dt2vuAcXT7Ru43XIPLJ5u38DtnntQ8XT7Bm6P3IOLp9s3cHvmHlI83b6B2yv30OLp9g3c3rmHFU+3b+D2yT28eLp9A7dv7hHF0+0bOtPLUblHDo3kBu0bOL0cXTzdvoHTyzHF0+0bOL0cWzzdvoHTy3HF0+0bOL0cXzzdvoHTywnF0+0bOL2cWDzdvoHTy0nF0+0bON2dXDzdvqEzvZyae0rhBu0bOL2cVjzdvoHTy+nF0+0bOL2cUTzdvoHTy4+Lp9s3cHr5SfF0+wZOL2cWT7dv4PRyVvF0+wZOL2cXT7dv4HR3TvF0+4bO9HJe7rmFG7Rv4PTy0+Lp9g2cXs4vnm7fwOnlguLp9g2cXn5WPN2+gdPLz4un2zdwevlF8XT7Bk4vFxZPt2/g9HJR8XT7Bk53FxdPt2/oTC+/zL2kcIP2DZxeLi2ebt/A6eWy4un2DZxeLi+ebt/A6eWK4un2DZxeflU83b6B08uVxdPtGzi9XFU83b6B08vVxdPtGzjdXVM83b6hM71cl3tt4QbtGzi9XF883b6B08uvi6fbN3B6uaF4un0Dp5cbi6fbN3B6+U3xdPsGTi+/LZ5u38Dp5abi6fYNnF5uLp5u38Dp7pbi6fYNnenlttxbCzdo38Dp5fbi6fYNnF7uKJ5u38Dp5XfF0+0bOL3cWTzdvoHTy13F0+0bOL3cXTzdvoHTy+ji6fYNnF7uKZ5u38Dp7t7i6fYNnenl/tz7Cjdo38Dp5YHi6fYNnF4eLJ5u38Dp5aHi6fYNnF4eLp5u38Dp5ZHi6fYNnF4eLZ5u38Dp5bHi6fYNnF4eL55u38Dp7oni6fYNnenlqdwnCzdo38Dp5eni6fYNnF6eKZ5u38Dp5dni6fYNnF6eK55u38Dp5fni6fYNnF5eKJ5u38Dp5cXi6fYNnF5eKp5u38Dp7uXi6fYNnenl1dxXCjdo38Dp5bXi6fYNnF5eL55u38Dp5Y3i6fYNnF7eLJ5u38Dp5a3i6fYNnF7eLp5u38Dp5Z3i6fYNnF7eLZ5u38Dp7r3i6faN93M/yP1D7u8LN2jfwH2Y+8fi6fYN3Ee5fyqebt/AfZz75+Lp9g3cJ7l/KZ5u38B9mvvX4un2DdxnuX8rnm7fwH2e+/fi6fYN3Be5/yiebt/AfZn7z+Lp9g2d6eXfuf8q3KB9A6eX/xRPt2/g9PLf4un2DZxe/lc83b6B08tXxdPtGzi9+OHcV4UbtG/g9DIUnqfbN3B6GQ7H0+0bOL2MEY6n2zdwuhszHE+3b+hML18PN9bwSG7QvoHTy9jheLp9A6eXccLxdPsGTi/jhuPp9g2cXsYLx9PtGzi9jJ/L0+0bOL1MUDzdvoHTy4TF0+0bOL1MVDzdvoHT3cTF0+0bOtPLpLmTDI/kBu0bOL1MVjzdvoHTy+TF0+0bOL18o3i6fQOnlymKp9s3cHqZsni6fQOnl6mKp9s3cHqZuni6fQOnl2mKp9s3cLqbtni6fUNnepk+d7rhkdygfQOnlxmKp9s3cHqZsXi6fQOnl5mKp9s3cHqZuXi6fQOnl1mKp9s3cHqZtXi6fQOnl9mKp9s3cHqZvXi6fQOnuzmKp9s3dKaXb+bOOTySG7Rv4PQyV/F0+wZOL98qnm7fwOnl28XT7Rs4vcxdPN2+gdPLPMXT7Rs4vcxbPN2+gdPLfMXT7Rs4vcxfPN2+gdPdAsXT7Rs608tCuQsOj+QG7Rs4vSxcPN2+gdPLIsXT7Rs4vSxaPN2+gdPLYsXT7Rs4vSxePN2+gdPLEsXT7Rs4vSxZPN2+gdPLUsXT7Rs43S1dPN2+oTO9LJu7zPBIbtC+gdPLd4qn2zdwelmueLp9A6eX5Yun2zdwelmheLp9A6eXFYun2zdwelmpeLp9A6eXlYun2zdwelmleLp9A6e7VYun2zd0ppfVc1cbHskN2jdwelmjeLp9A6eXNYun2zdwevlu8XT7Bk4vaxVPt2/g9PK94un2DZxe1i6ebt/A6WWd4un2DZxe1i2ebt/A6W694un2DZ3p5fu56w+P5AbtGzi9/KB4un0Dp5cNiqfbN3B62bB4un0Dp5cfFk+3b+D0slHxdPsGTi8bF0+3b+D0sknxdPsGTi+bFk+3b+B0t1nxdPvGj/Ld5rk75u4wPJIbtG/gtsjdqXi6fQM3Knfn4un2DdyWubsUT7dv4LbK3bV4un0Dt3XubsXT7Ru4bXJ3L55u38Btm7tH8XT7Bm673D2Lp9s3cNvn7lU83b6hM73sk7v38Ehu0L6B08u+xdPtGzi97Fc83b6B08v+xdPtGzi9HFA83b6B08uBxdPtGzi9HFQ83b6B08vBxdPtGzi9HFI83b6B092hxdPtGzrTy+G5hw2P5AbtGzi9HFE83b6B08uRxdPtGzi9HFU83b6B08vRxdPtGzi9HFM83b6B08uxxdPtGzi9HFc83b6B08vxxdPtGzjdnVA83b6hM72clHti4QbtGzi9nFw83b6B08spxdPtGzi9nFo83b6B08tpxdPtGzi9nF483b6B08sZxdPtGzi9/Lh4un0Dp5efFE+3b+B0d2bxdPuGzvRydu5ZhRu0b+D0ck7xdPsGTi/nFk+3b+D0cl7xdPsGTi8/LZ5u38Dp5fzi6fYNnF4uKJ5u38Dp5WfF0+0bOL38vHi6fQOnu18UT7dv6EwvF+VeWLhB+wZOLxcXT7dv4PRySfF0+wZOL78snm7fwOnl0uLp9g2cXi4rnm7fwOnl8uLp9g2cXq4onm7fwOnlV8XT7Rs43V1ZPN2+oTO9XJ17VeEG7Rs4vVxTPN2+gdPLtcXT7Rs4vVxXPN2+gdPL9cXT7Rs4vfy6eLp9A6eXG4qn2zdwermxeLp9A6eX3xRPt2/gdPfb4un2DZ3p5ebcmwo3aN/A6eWW4un2DZxebi2ebt/A6eW24un2DZxebi+ebt/A6eWO4un2DZxeflc83b6B08udxdPtGzi93FU83b6B093dxdPtGzrTyz25ows3aN/A6eXe4un2DZxe7iuebt/A6eX+4un2DZxeHiiebt/A6eXB4un2DZxeHiqebt/A6eXh4un2DZxeHimebt/A6e7R4un2DZ3p5fHcxwo3aN/A6eWJ4un2DZxeniyebt/A6eWp4un2DZxeni6ebt/A6eWZ4un2DZxeni2ebt/A6eW54un2DZxeni+ebt/A6e6F4un2jRdzX8p9N/edwg3aN3Av575XPN2+gXsl9/3i6fYN3Ku5HxRPt2/gXsv9sHi6fQP3eu5HxdPtG7g3cj8unm7fwL2Z+0nxdPsG7q3cT4un2zdwb+d+VjzdvqEzvXyR+3nhBu0bOL18WTz/B6F3rep4XoWZQ9Bl6RYFq+vev23btm3btm3btm3btm1b5aruahv1Il7vHJyMOLHOZE++zFGOztq5d6//f7vU3b/ufnX71O1b97u6Q8XtWvcAeeD61f1eHrjd6h4oD1z/uj/IA7d73YPkgRtQ90d54Paoe7A8cAPr/iQP3J51D5EHblDdn+WB26vuofLADa77izxwe9c9TB64IXV/lWefuvvWPaLu4XW/qftt3d/r/iaOXo6UB45e/pAHjl6OkgeOXv6UB45ejpYHjl7+kgeOXo6RB45e/pYHjl6OlQeOXv6RB45ejpMHjl7+lQeOXo6XB45ehskDRy8nyANHL706/51h4ujuRHng6G644vHQGb2cXPekunRGL53ieneaHL2cIg8cvXSLwwNHL6fKA0cvPcXhgaOX0+SBo5fhi8MDRy+nywNHLyMUhweOXs6QB45eRiwODxy9nCkPHL2MVBweOHo5Sx44ehm5ODxw9HK2PHD0MkpdPHB0d448cHQ3qjx0Ri/n1T23Lp3Ry+h1R+s0OXo5Xx44ehlDHjh6uUAeOHoZUx44erlQHjh6GUseOHq5SB44ehlbHjh6uVgeOHoZRx44erlEHjh6GVceOHq5VB44ehlPHjh6uUweOHoZXx44urtcHji6m0AeOqOXK+teUZfO6GWiuhN2mhy9XCUPHL1MLA8cvVwtDxy9TCIPHL1cIw8cvUwqDxy9XCsPHL1MJg8cvVwnDxy9TC4PHL1cLw8cvUwhDxy93CAPHL1MKQ8cvdwoDxy9TCUPHN3dJA8c3U0tD53Ryy11b65LZ/Qybd1pOk2OXm6VB45eppMHjl5ukweOXqaXB45ebpcHjl5mkAeOXu6QB45eZpQHjl7ulAeOXmaSB45e7pIHjl5mlgeOXu6WB45eZpEHjl7ukQeOXmaVB47u7pUHju5mk4fO6OX+uvfVpTN6maPu7J0mRy8PyANHL3PKA0cvD8oDRy9zyQNHLw/JA0cvc8sDRy8PywNHL/PIA0cvj8gDRy/zygNHL4/KA0cv88kDRy+PyQNHL/PLA0cvj8sDRy8LyANHd0/IA0d3C8pDZ/TyVN0n69IZvSxcd6FOk6OXp+WBo5dF5IGjl2fkgaOXReWBo5dn5YGjl8XkgaOX5+SBo5fF5YGjl+flgaOXJeSBo5cX5IGjlyXlgaOXF+WBo5el5IGjl5fkgaOXpeWBo7uX5YGju2XkoTN6ebXuK3XpjF6Wq7tsp8nRy2vywNHL8vLA0cvr8sDRywrywNHLG/LA0cuK8sDRy5vywNHLSvLA0ctb8sDRy8rywNHL2/LA0csq8sDRyzvywNHLqvLA0cu78sDRy2rywNHde/LA0d3q8rxf7z6o+3Xdr+quUe/WrLtJ3Y07Te7Dun3kgVur7qbywH1Ut688cGvX3UweuI/r9pMHbp26m8sD90nd/vLArVt3C3ngPq07QB649epuKQ/cZ3UHygO3ft2t5IH7vO4geeA2qLu1PHBf1B0sD9yGdbeRB+7LukPkgduo7rby0Bm98L+Y/850Ri/b192u0+ToZag8cPSygzxp34Cjlx3lSfsGHL3sJE/aN+DoZWd50r4BRy+7yJP2DTh62VWetG/A0ctu8qR9A45edpcn7RtwdLeHPGnfoDN62avunp0m17ZvwNHL3vKkfQOOXvaRJ+0bcPSyrzxp34Cjl/3kSfsGHL3sL0/aN+Do5QB50r4BRy8HypP2DTh6OUietG/A0d3B8qR9g87o5dC6h3SaXNu+AUcvh8mT9g04ejlcnrRvwNHLEfKkfQOOXo6UJ+0bcPRylDxp34Cjl6PlSfsGHL0cI0/aN+Do5Vh50r4BR3fHyZP2DTqjlxPqHi+ubd+Ao5cT5Un7Bhy9nCRP2jfg6OVkedK+AUcvp8iT9g04ejlVnrRvwNHLafKkfQOOXk6XJ+0bcPRyhjxp34CjuzPlSfsGndHL2XXPEte2b8DRyznypH0Djl7OlSftG3D0cp48ad+Ao5fz5Un7Bhy9XCBP2jfg6OVCedK+AUcvF8mT9g04erlYnrRvwNHdJfKkfYPO6OWyupeKa9s34OjlcnnSvgFHL1fIk/YNOHq5Up60b8DRy1XypH0Djl6uliftG3D0co08ad+Ao5dr5Un7Bhy9XCdP2jfg6O56edK+QWf0cmPdG8S17Rtw9HKTPGnfgKOXm+VJ+wYcvdwiT9o34OjlVnnSvgFHL7fJk/YNOHq5XZ60b8DRyx3ypH0Djl7ulCftG3B0d5c8ad+gM3q5p+7d4tr2DTh6uVeetG/A0ct98qR9A45e7pcn7Rtw9PKAPGnfgKOXB+VJ+wYcvTwkT9o34OjlYXnSvgFHL4/Ik/YNOLp7VJ60b9AZvTxe9zFxbfsGHL08IU/aN+Do5Ul50r4BRy9PyZP2DTh6eVqetG/A0csz8qR9A45enpUn7Rtw9PKcPGnfgKOX5+VJ+wYc3b0gT9o3Xqz7Ut13674jrm3fgHu57nvypH0D7pW678uT9g24V+t+IE/aN+Beq/uhPGnfgHu97kfypH0D7o26H8uT9g24N+t+Ik/aN+DeqvupPGnfgHu77mfypH2Dzujli7qfi2vbN+Do5Ut50r4BRy9fyZP2DTh6+VqetG/A0UsfedK+AUcvfeVJ+wYcvfSTJ+0bcPTSX560b8DRywB50r4BR3cD5Un7Bp3Ry+C6g8S17Rtw9DJEnrRvwNHLN/KkfQOOXr6VJ+0bcPQyVJ60b8DRy3fypH0Djl6+lyftG3D08oM8ad+Ao5cf5Un7Bhzd/SRP2jfojF5+qfuzuLZ9A45efpUn7Rtw9PKbPGnfgKOX3+VJ+wYcvfwhT9o34OjlT3nSvgFHL3/Jk/YNOHr5W560b8DRyz/ypH0Dju7+lSftG3RGL726/51h4tr2DTh6Ga54PGnfgKOX3sXhSfsGHL10isOT9g04eukWhyftG3D00lMcnrRvwNHL8MXhSfsGHL2MUByetG/A0cuIxeFJ+wYc3Y1UHJ60b9AZvYxSd+Ruk2vbN+DoZVR50r4BRy+jyZP2DTh6GV2etG/A0csY8qR9A45expQn7Rtw9DKWPGnfgKOXseVJ+wYcvYwjT9o34OhuXHnSvkFn9DJ+3fG6Ta5t34CjlwnkSfsGHL1MKE/aN+DoZSJ50r4BRy8Ty5P2DTh6mUSetG/A0cuk8qR9A45eJpMn7Rtw9DK5PGnfgKO7KeRJ+wad0ctUdafsNrm2fQOOXqaWJ+0bcPQyjTxp34Cjl2nlSfsGHL1MJ0/aN+DoZXp50r4BRy8zyJP2DTh6mVGetG/A0ctM8qR9A47uZpYn7Rt0Ri+z1p2l2+Ta9g04eplNnrRvwNHL7PKkfQOOXuaQJ+0bcPQypzxp34Cjl7nkSfsGHL3MLU/aN+DoZR550r4BRy/zypP2DTi6m0+etG/QGb0sUHf+bpNr2zfg6GVBedK+AUcvC8mT9g04ellYnrRvwNHLIvKkfQOOXhaVJ+0bcPSymDxp34Cjl8XlSfsGHL0sIU/aN+Dobkl50r6xVL1buu5qdVftNrm2fQNumbqry5P2Dbhl664hT9o34Jaru6Y8ad+AW77uWvKkfQNuhbpry5P2DbgV664jT9o34Faqu648ad+AW7nuevKkfQNulbrry5P2DTqjlw3rbtBtcm37Bhy9bCRP2jfg6GVjedK+AUcvm8iT9g04etlUnrRvwNHLZvKkfQOOXjaXJ+0bcPSyhTxp34Cjly3lSfsGHN1tJU/aN+iMXrapu3W3ybXtG3D0sq08ad+Ao5ft5En7Bhy9bC9P2jfg6GUHedK+AUcvO8qT9g04etlJnrRvwNHLzvKkfQOOXnaRJ+0bcHS3qzxp36Azetm97m7dJte2b8DRyx7ypH0Djl72lCftG3D0spc8ad+Ao5e95Un7Bhy97CNP2jfg6GVfedK+AUcv+8mT9g04etlfnrRvwNHdAfKkfYPO6OWgugd2m1zbvgFHLwfLk/YNOHo5RJ60b8DRy6HypH0Djl4OkyftG3D0crg8ad+Ao5cj5En7Bhy9HClP2jfg6OUoedK+AUd3R8uT9g06o5dj6x7TbXJt+wYcvRwnT9o34OjleHnSvgFHLyfIk/YNOHo5UZ60b8DRy0nypH0Djl5OliftG3D0coo8ad+Ao5dT5Un7BhzdnSZP2jfojF7OqHu6uLZ9A45ezpQn7Rtw9HKWPGnfgKOXs+VJ+wYcvZwjT9o34OjlXHnSvgFHL+fJk/YNOHo5X560b8DRywXypH0Dju4ulCftG3RGLxfXvUhc274BRy+XyJP2DTh6uVSetG/A0ctl8qR9A45eLpcn7Rtw9HKFPGnfgKOXK+VJ+wYcvVwlT9o34OjlannSvgFHd9fIk/YNOqOX6+peK65t34Cjl+vlSfsGHL3cIE/aN+Do5UZ50r4BRy83yZP2DTh6uVmetG/A0cst8qR9A45ebpUn7Rtw9HKbPGnfgKO72+VJ+wad0cudde8Q17ZvwNHLXfKkfQOOXu6WJ+0bcPRyjzxp34Cjl3vlSfsGHL3cJ0/aN+Do5X550r4BRy8PyJP2DTh6eVCetG/A0d1D8qR94+G6j9R9vu5z4tr2DbhH674gT9o34B6r+6I8ad+Ae7zuS/KkfQPuibovy5P2Dbgn674iT9o34J6q+6o8ad+Ae7rua/KkfQPumbqvy5P2Dbhn674hT9o36Ixe3qr7pri2fQOOXt6WJ+0bcPTyjjxp34Cjl3flSfsGHL28J0/aN+Do5X150r4BRy8fyJP2DTh6+VCetG/A0ctH8qR9A47uPpYn7Rt0Ri+f1v1EXNu+AUcvn8mT9g04evlcnrRvwNHLF/KkfQOOXr6UJ+0bcPTylTxp34Cjl6/lSfsGHL30kSftG3D00leetG/A0V0/edK+QWf0MqBuf3Ft+wYcvQyUJ+0bcPQySJ60b8DRy2B50r4BRy9D5En7Bhy9fCNP2jfg6OVbedK+AUcvQ+VJ+wYcvXwnT9o34Ojue3nSvkFn9PJj3R/Ete0bcPTykzxp34Cjl5/lSfsGHL38Ik/aN+Do5Vd50r4BRy+/yZP2DTh6+V2etG/A0csf8qR9A45e/pQn7RtwdPeXPGnfoDN6+afu3+La9g04evlXnrRvwNHLMHnSvgFHL716/jvDxLXtG3D0MlzxeNK+AUcvvYvDk/YNOHrpFIcn7Rtw9NItDk/aN+Dopac4PGnfgKO74YvDk/YNOqOXEYsboafJte0bcPQyUnF40r4BRy8jF4cn7Rtw9DJKXTxp34Cjl1HlSfsGHL2MJk/aN+DoZXR50r4BRy9jyJP2DTh6GVOetG/A0d1Y8qR9g87oZZy6Y/c0ubZ9A45expUn7Rtw9DKePGnfgKOX8eVJ+wYcvUwgT9o34OhlQnnSvgFHLxPJk/YNOHqZWJ60b8DRyyTypH0Dju4mlSftG3RGL5PXnaynybXtG3D0MoU8ad+Ao5cp5Un7Bhy9TCVP2jfg6GVqedK+AUcv08iT9g04eplWnrRvwNHLdPKkfQOOXqaXJ+0bcHQ3gzxp36Azepmp7ow9Ta5t34Cjl5nlSfsGHL3MIk/aN+DoZVZ50r4BRy+zyZP2DTh6mV2etG/A0csc8qR9A45e5pQn7Rtw9DKXPGnfgKO7ueX5H0d9tDg=AQAAAACAAABAHwAA5wQAAA==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AQAAAACAAADoAwAAEQAAAA==eF7j4RkFo2AUDHcAAK4tLuE=
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_2_t_86400.000000.vtu b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_2_t_86400.000000.vtu
new file mode 100644
index 00000000000..20139c631cf
--- /dev/null
+++ b/Tests/Data/Parabolic/LiquidFlow/SimpleSynthetics/PrimaryVariableConstraintDirichletBC/part_of_left_boundary_to_part_of_right_boundary_primary_variable_constraint_dirichlet_top_3_ts_2_t_86400.000000.vtu
@@ -0,0 +1,30 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="41" format="appended" RangeMin="45" RangeMax="121" offset="0" />
+ </FieldData>
+ <Piece NumberOfPoints="1331" NumberOfCells="1000" >
+ <PointData>
+ <DataArray type="Float64" Name="ic_0" format="appended" RangeMin="0" RangeMax="0" offset="92" />
+ <DataArray type="Float64" Name="ic_1" format="appended" RangeMin="1" RangeMax="1" offset="160" />
+ <DataArray type="Float64" Name="ic_minus_1" format="appended" RangeMin="-1" RangeMax="-1" offset="244" />
+ <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-1" RangeMax="1" offset="328" />
+ <DataArray type="Float64" Name="v" NumberOfComponents="3" format="appended" RangeMin="4.1485310631e-08" RangeMax="5.53225386e-07" offset="8668" />
+ </PointData>
+ <CellData>
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.7320508076" offset="38704" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="43516" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="55296" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="56996" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
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AgAAAACAAAAAegAA7REAAIAQAAA=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AQAAAACAAABAHwAA5wQAAA==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AQAAAACAAADoAwAAEQAAAA==eF7j4RkFo2AUDHcAAK4tLuE=
+ </AppendedData>
+</VTKFile>
--
GitLab