.daterangepicker.opensleft:after {
  right: 10px;
}

.daterangepicker.openscenter:before {
  left: 0;
  right: 0;
  width: 0;
  margin-left: auto;
  margin-right: auto;
}

.daterangepicker.openscenter:after {
  left: 0;
  right: 0;
  width: 0;
  margin-left: auto;
  margin-right: auto;
}

.daterangepicker.opensright:before {
  left: 9px;
}

.daterangepicker.opensright:after {
  left: 10px;
}

                "-Porg.gradle.java.installations.auto-download=false",
                "-Porg.gradle.java.installations.auto-detect=false"
            ).joinToString(" "),
            gradleStep.gradleParams
        )
    }

    @Test
    fun `functional test parameters are correct`() {
        val functionalTest = FunctionalTest(

  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();

  std::vector<TFE_TensorHandle*> handles_task2;
  for (auto* h_task0 : handles_task0) {
    handles_task2.push_back(
        TFE_TensorHandleCopyToDevice(h_task0, ctx, task2_name, status));
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  }

  auto* h1_task2 =
      TFE_TensorHandleCopyToDevice(h1_task0, ctx, task2_name, status);

TEST(CAPI, MonitoringSampler0) {
  TF_Status* status = TF_NewStatus();
  auto* buckets = TFE_MonitoringNewExponentialBuckets(1.0, 2.0, 2);
  auto* sampler =
      TFE_MonitoringNewSampler0("test/sampler", buckets, status, "test");
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  auto* cell = TFE_MonitoringGetCellSampler0(sampler);
  TFE_MonitoringSamplerCellAdd(cell, 1.0);
  auto* collection_registry = monitoring::CollectionRegistry::Default();

  return new TFE_Executor(&tensorflow::unwrap(ctx)->Executor());
}

void TFE_HostAddressSpace(TFE_Context* ctx, TF_Buffer* buf) {
  auto address_space = tensorflow::DeviceNameUtils::AddressSpace(
      tensorflow::unwrap(ctx)->HostCPUParsedName());
  auto str = tensorflow::DeviceNameUtils::ParsedNameToString(address_space);
  void* data = tensorflow::port::Malloc(str.length());

                    <mxGeometry x="710" y="-50" width="300" height="80" as="geometry"/>
                </mxCell>
                <mxCell id="8" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;strokeWidth=3;exitX=0.092;exitY=1.01;exitDx=0;exitDy=0;dashed=1;exitPerimeter=0;" parent="1" edge="1">
                    <mxGeometry relative="1" as="geometry">
                        <Array as="points">

    # Either the 'source' or 'remote' *must* be the "local" deployment
#    endpoint: "http://127.0.0.1:9000"
#    # path: "on|off|auto" # "on" enables path-style bucket lookup. "off" enables virtual host (DNS)-style bucket lookup. Defaults to "auto"
#    credentials:
#      accessKey: minioadmin # Required
#      secretKey: minioadmin # Required

                    <mxGeometry x="710" y="-50" width="300" height="80" as="geometry"/>
                </mxCell>
                <mxCell id="8" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;strokeWidth=3;exitX=0.092;exitY=1.01;exitDx=0;exitDy=0;dashed=1;exitPerimeter=0;" parent="1" edge="1">
                    <mxGeometry relative="1" as="geometry">
                        <Array as="points">

margin-top:-3rem!important}.mr-n5,.mx-n5{margin-right:-3rem!important}.mb-n5,.my-n5{margin-bottom:-3rem!important}.ml-n5,.mx-n5{margin-left:-3rem!important}.m-auto{margin:auto!important}.mt-auto,.my-auto{margin-top:auto!important}.mr-auto,.mx-auto{margin-right:auto!important}.mb-auto,.my-auto{margin-bottom:auto!important}.ml-auto,.mx-auto{margin-left:auto!important}@media (min-width:576px){.m-sm-0{margin:0!important}.mt-sm-0,.my-sm-0{margin-top:0!important}.mr-sm-0,.mx-sm-0{margin-right:0!import...