diff --git a/dependencies.xml b/dependencies.xml
index a9308cdd90..cf4623ca42 100644
--- a/dependencies.xml
+++ b/dependencies.xml
@@ -35,7 +35,7 @@ Note all install methods after "main" take
 -->
 <dependencies>
   <main>
-    <h5py>2.10</h5py>
+    <h5py>3.6</h5py>
     <numpy>1.18</numpy>
     <scipy>1.5</scipy>
     <scikit-learn>0.24</scikit-learn>
@@ -59,7 +59,7 @@ Note all install methods after "main" take
     <nomkl os='linux' skip_check='True'/>
     <numexpr os='linux'/>
     <cmake skip_check='True' optional='True'/>
-    <ray os="mac,linux" source="pip" pip_extra="[default]">1.9</ray>
+    <ray os="mac,linux" source="pip" pip_extra="[default]">1.12</ray>
     <imageio>2.9</imageio>
     <line_profiler optional='True'/>
     <!-- <ete3 optional='True'/> -->
diff --git a/tests/framework/PostProcessors/Validation/test_validation_gate_representativityLinModel.xml b/tests/framework/PostProcessors/Validation/test_validation_gate_representativityLinModel.xml
deleted file mode 100644
index cb38dfe134..0000000000
--- a/tests/framework/PostProcessors/Validation/test_validation_gate_representativityLinModel.xml
+++ /dev/null
@@ -1,183 +0,0 @@
-<?xml version="1.0" ?>
-<Simulation verbosity="all">
-  <RunInfo>
-    <WorkingDir>Representativity</WorkingDir>
-    <Sequence>mcRunExp, mcRunTar, PP1</Sequence>
-    <batchSize>1</batchSize>
-  </RunInfo>
-
-  <TestInfo>
-    <name>framework/PostProcessors/Validation/test_validation_gate_representativity</name>
-    <author>Mohammad Abdo (@Jimmy-INL)</author>
-    <created>2021-04-29</created>
-    <classesTested>PostProcessors.Validation</classesTested>
-    <description>
-        This test assesses the mechanics of the representativity workflow; one of the validation algorithms used in RAVEN.
-        This test a linear model as both the mock experiment and the target plant models. The expected representativity factor should be close to one for each measurable F_i and Figure of merit FOM_i. Currently the test utilizes the bias factor metric to compute the representativity factors.
-    </description>
-    <revisions>
-      <revision author="Mohammad Abdo (@Jimmy-INL)" date="2021-04-11">Added Modification for new PP API</revision>
-    </revisions>
-  </TestInfo>
-
-  <Models>
-    <ExternalModel ModuleToLoad="../../../AnalyticModels/expLinModel.py" name="linModel" subType="">
-      <variables>p1, p2, e1, e2, e3, bE, F1, F2, F3</variables>
-    </ExternalModel>
-    <ExternalModel ModuleToLoad="../../../AnalyticModels/tarLinModel.py" name="tarModel" subType="">
-      <variables>p1, p2, o1, o2, o3, bT, FOM1, FOM2, FOM3</variables>
-    </ExternalModel>
-    <PostProcessor name="pp1" subType="Representativity">
-      <Features>outputDataMC1|F1, outputDataMC1|F2, outputDataMC1|F3</Features>
-      <Targets>outputDataMC2|FOM1, outputDataMC2|FOM2, outputDataMC2|FOM3</Targets><!---->
-      <!-- <Metric class="Metrics" type="Metric">simIndex</Metric> -->
-      <featureParameters>outputDataMC1|p1,outputDataMC1|p2</featureParameters>
-      <targetParameters>outputDataMC2|p1,outputDataMC2|p2</targetParameters>
-      <pivotParameter>outputDataMC1|time</pivotParameter>
-      <targetPivotParameter>outputDataMC2|time</targetPivotParameter>
-    </PostProcessor>
-  </Models>
-
-  <!-- <Metrics>
-    <Metric name="simIndex" subType="RepresentativityFactors"/>
-  </Metrics> -->
-
-  <Distributions>
-    <Normal name="dist1">
-      <mean>5.5</mean>
-      <sigma>0.55</sigma>
-    </Normal>
-    <Normal name="dist2">
-      <mean>8</mean>
-      <sigma>0.8</sigma>
-    </Normal>
-  </Distributions>
-
-  <Samplers>
-    <MonteCarlo name="ExperimentMCSampler">
-      <samplerInit>
-        <limit>100</limit>
-      </samplerInit>
-      <variable name="p1">
-        <distribution>dist1</distribution>
-      </variable>
-      <variable name="p2">
-        <distribution>dist2</distribution>
-      </variable>
-      <constant name="e1">2,-3</constant>
-      <constant name="e2">1, 8</constant>
-      <constant name="e3">-5,-5</constant>
-      <constant name="bE">0,0,0</constant>
-    </MonteCarlo>
-    <MonteCarlo name="TargetMCSampler">
-      <samplerInit>
-        <limit>100</limit>
-      </samplerInit>
-      <variable name="p1">
-        <distribution>dist1</distribution>
-      </variable>
-      <variable name="p2">
-        <distribution>dist2</distribution>
-      </variable>
-      <constant name="o1">2,-3</constant>
-      <constant name="o2">1, 8</constant>
-      <constant name="o3">-5,-5</constant>
-      <constant name="bT">0,0,0</constant>
-    </MonteCarlo>
-  </Samplers>
-
-  <Steps>
-    <MultiRun name="mcRunExp" re-seeding="20021986">
-      <Input class="DataObjects" type="PointSet">inputPlaceHolder2</Input>
-      <Model class="Models" type="ExternalModel">linModel</Model>
-      <Sampler class="Samplers" type="MonteCarlo">ExperimentMCSampler</Sampler>
-      <Output class="DataObjects" type="PointSet">outputDataMC1</Output>
-    </MultiRun>
-    <MultiRun name="mcRunTar" re-seeding="68912002">
-      <Input class="DataObjects" type="PointSet">inputPlaceHolder2</Input>
-      <Model class="Models" type="ExternalModel">tarModel</Model>
-      <Sampler class="Samplers" type="MonteCarlo">TargetMCSampler</Sampler>
-      <Output class="DataObjects" type="PointSet">outputDataMC2</Output>
-    </MultiRun>
-    <PostProcess name="PP1">
-      <Input class="DataObjects" type="PointSet">outputDataMC1</Input>
-      <Input class="DataObjects" type="PointSet">outputDataMC2</Input>
-      <Model class="Models" type="PostProcessor">pp1</Model>
-      <Output class="DataObjects" type="PointSet">pp1_metric</Output>
-      <Output class="OutStreams" type="Print">pp1_metric_dump</Output>
-    </PostProcess>
-  </Steps>
-
-  <DataObjects>
-    <PointSet name="inputPlaceHolder2">
-      <Input>p1,p2</Input>
-      <Output>OutputPlaceHolder</Output>
-    </PointSet>
-    <PointSet name="outputDataMC1">
-      <Input>p1,p2</Input>
-      <Output>F1, F2, F3</Output>
-    </PointSet>
-    <PointSet name="outputDataMC2">
-      <Input>p1,p2</Input>
-      <Output>FOM1, FOM2, FOM3</Output>
-    </PointSet>
-    <PointSet name="pp1_metric">
-      <Input>InputPlaceHolder</Input>
-      <Output>
-        BiasFactor_MockF1_TarFOM1,
-        BiasFactor_MockF1_TarFOM2,
-        BiasFactor_MockF1_TarFOM3,
-        BiasFactor_MockF2_TarFOM1,
-        BiasFactor_MockF2_TarFOM2,
-        BiasFactor_MockF2_TarFOM3,
-        BiasFactor_MockF3_TarFOM1,
-        BiasFactor_MockF3_TarFOM2,
-        BiasFactor_MockF3_TarFOM3,
-        ExactBiasFactor_MockF1_TarFOM1,
-        ExactBiasFactor_MockF1_TarFOM2,
-        ExactBiasFactor_MockF1_TarFOM3,
-        ExactBiasFactor_MockF2_TarFOM1,
-        ExactBiasFactor_MockF2_TarFOM2,
-        ExactBiasFactor_MockF2_TarFOM3,
-        ExactBiasFactor_MockF3_TarFOM1,
-        ExactBiasFactor_MockF3_TarFOM2,
-        ExactBiasFactor_MockF3_TarFOM3,
-        CorrectedParameters_p1,
-        CorrectedParameters_p2,
-        CorrectedTargets_FOM1,
-        CorrectedTargets_FOM2,
-        CorrectedTargets_FOM3,
-        VarianceInCorrectedParameters_p1,
-        VarianceInCorrectedParameters_p2,
-        CovarianceInCorrectedParameters_p1_p2,
-        CovarianceInCorrectedParameters_p2_p1,
-        CorrectedVar_TarFOM1,
-        CorrectedVar_TarFOM2,
-        CorrectedVar_TarFOM3,
-        ExactCorrectedVar_TarFOM1,
-        ExactCorrectedVar_TarFOM2,
-        ExactCorrectedVar_TarFOM3,
-        CorrectedCov_TarFOM1_TarFOM2,
-        CorrectedCov_TarFOM2_TarFOM1,
-        CorrectedCov_TarFOM1_TarFOM3,
-        CorrectedCov_TarFOM3_TarFOM1,
-        CorrectedCov_TarFOM2_TarFOM3,
-        CorrectedCov_TarFOM3_TarFOM2,
-        ExactCorrectedCov_TarFOM1_TarFOM2,
-        ExactCorrectedCov_TarFOM2_TarFOM1,
-        ExactCorrectedCov_TarFOM1_TarFOM3,
-        ExactCorrectedCov_TarFOM3_TarFOM1,
-        ExactCorrectedCov_TarFOM2_TarFOM3,
-        ExactCorrectedCov_TarFOM3_TarFOM2
-      </Output>
-    </PointSet>
-  </DataObjects>
-
-  <OutStreams>
-    <Print name="pp1_metric_dump">
-      <type>csv</type>
-      <source>pp1_metric</source>
-    </Print>
-  </OutStreams>
-
-</Simulation>