// launched by this test is either:
    //
    // (a) Blocked attempting to enter the monitor.
    // (b) Waiting for the single guard to become satisfied.
    // (c) Occupying the monitor and awaiting the tearDownLatch.
    //
    // Except for (c), every thread should occupy the monitor very briefly, and every thread leaves

    // launched by this test is either:
    //
    // (a) Blocked attempting to enter the monitor.
    // (b) Waiting for the single guard to become satisfied.
    // (c) Occupying the monitor and awaiting the tearDownLatch.
    //
    // Except for (c), every thread should occupy the monitor very briefly, and every thread leaves

        assert isolatables.every { it instanceof IsolatedManagedValue }

        when:
        serialize(isolatables)

        and:
        Isolatable<?>[] newIsolatables = deserialize()

        then:
        assert newIsolatables.every { it instanceof IsolatedManagedValue }

        and:
        newIsolatables[0].isolate().getFoo() == "bar"

  // clusters.  Useful for debugging.
  bool tf_xla_print_cluster_outputs;

  // If true, insert CheckNumerics nodes for every floating point typed input to
  // an XLA cluster.
  bool tf_xla_check_cluster_input_numerics;

  // If true, insert CheckNumerics nodes for every floating point typed output
  // from an XLA cluster.
  bool tf_xla_check_cluster_output_numerics;

        pluginContainerCallbackBuildOps.every { it.details.applicationId == callbackPluginApplication.details.applicationId }

        def tasksContainerCallbackBuildOps = findCallbackActionBuildOps('task container callback')
        tasksContainerCallbackBuildOps.size > 0 // not necessary to track exact count here; adding removing build-in tasks should not break this

// Insert a "requant" op after the mean op if the mean has different scales for
// input & output.
// Please note: THIS IS NOT a mathmetically-equivalent transformation and it may
// loose accuracy, so we need to use this very very carefully.
LogicalResult InsertRequantForReduceMean::matchAndRewrite(
    TFL::MeanOp mean_op, PatternRewriter& rewriter) const {
  auto input = mean_op.getInput();

// PolicyRule maps requests based off metadata to an audit Level.
// Requests must match the rules of every field (an intersection of rules).
message PolicyRule {
  // The Level that requests matching this rule are recorded at.
  optional string level = 1;

  // The users (by authenticated user name) this rule applies to.
  // An empty list implies every user.
  // +optional
  // +listType=atomic
  repeated string users = 2;

    * Although it's probably not very problematic here with the way `SQLAlchemy` works.
    * But if you added more code to the middleware that had a lot of <abbr title="input and output">I/O</abbr> waiting, it could then be problematic.
* A middleware is run for *every* request.
    * So, a connection will be created for every request.

# Dependencies

**FastAPI** has a very powerful but intuitive **<abbr title="also known as components, resources, providers, services, injectables">Dependency Injection</abbr>** system.

It is designed to be very simple to use, and to make it very easy for any developer to integrate other components with **FastAPI**.

## What is "Dependency Injection"

// It cannot be removed by loop-invariant-code-motion pass since every value
// is used and changed in the while loop.

// Moreover, we require
// 1. no implicit argument: For every operation in whileOp, all dependent values
//    (except for constant) are explicitly passed in.
// 2. no side effect: Every operation inside whileOp can be safely
//    remove when it is useEmpty().