//
	// misspelled     x.foo   ==    Foo    type X has no field or method foo, but does have field Foo
	// misspelled     x.foo   ==    FoO    type X has no field or method foo, but does have field FoO
	// ok             x.foo   ==    foo
	// misspelled     x.foo   ==    foO    type X has no field or method foo, but does have field foO
	//
	// ok             x.Foo   !=    Foo

import org.apache.maven.lifecycle.internal.builder.Builder;
import org.apache.maven.project.MavenProject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Builds the full lifecycle in weave-mode (phase by phase as opposed to project-by-project).
 * <p>
 * This builder uses a number of threads equal to the minimum of the degree of concurrency (which is the thread count

	//
	// misspelled     x.foo   ==    Foo    type X has no field or method foo, but does have field Foo
	// misspelled     x.foo   ==    FoO    type X has no field or method foo, but does have field FoO
	// ok             x.foo   ==    foo
	// misspelled     x.foo   ==    foO    type X has no field or method foo, but does have field foO
	//
	// ok             x.Foo   !=    Foo

	var _ To0 /* ERROR "not enough type arguments for type To0: have 1, want 2" */ [int]
	var _ To1 /* ERROR "not enough type arguments for type To1: have 1, want 2" */ [int]
	var _ To2 /* ERROR "not enough type arguments for type To2: have 1, want 2" */ [int]
	var _ To3 /* ERROR "not enough type arguments for type To3: have 1, want 2" */ [int]
	var _ To4 /* ERROR "not enough type arguments for type To4: have 2, want 3" */ [int, string]
}

// failed inference

      op.erase();
    });
    if (!success) return failure();

    // Erase tf_saved_model attributes we consumed. We can't delete them
    // right away, since they might weave through blocks, but we can replace
    // them with a dummy which DCE can pick up later.
    llvm::BitVector argsToErase(func.getNumArguments());
    for (int i = 0; i < func.getNumArguments(); i++) {

			id, inserted := m.PutString(s)
			if !inserted {
				t.Errorf("expected to have inserted string %q, but did not", s)
			}
			if id != uint64(i+1) {
				t.Errorf("expected string %q to have ID %d, but got %d instead", s, i+1, id)
			}
		}
		for i, s := range d {
			id, inserted := m.PutString(s)
			if inserted {
				t.Errorf("inserted string %q, but expected to have not done so", s)
			}
			if id != uint64(i+1) {

				t.Fatalf("Manager should not have an error %v", err)
			}
			// we should have disk pressure (because transition period not yet met)
			if !manager.IsUnderDiskPressure() {
				t.Fatalf("Manager should report disk pressure")
			}

			// no pod should have been killed
			if podKiller.pod != nil {
				t.Fatalf("Manager chose to kill pod: %v when no pod should have been killed", podKiller.pod.Name)
			}

In fact, in some cases, it will even have **two JSON Schemas** in OpenAPI for the same Pydantic model, for input and output, depending on if they have **default values**.

Let's see how that works and how to change it if you need to do that.

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

=== "Python 3.10+"

type F[RCT RC[RG], RG any] interface {
	Fn() Fn /* ERROR "not enough type arguments for type Fn: have 1, want 2" */ [RCT]
}

type concreteF[RCT RC[RG], RG any] struct {
	makeFn func() Fn /* ERROR "not enough type arguments for type Fn: have 1, want 2" */ [RCT]
}

func (c *concreteF[RCT, RG]) Fn() Fn /* ERROR "not enough type arguments for type Fn: have 1, want 2" */ [RCT] {
	return c.makeFn()
}

If you have not deployed the `Jaeger` service, you can follow [this](https://istio.io/latest/docs/ops/integrations/jaeger/) installation to install the service.

You may also choose any existing tracing system if you have, and you should change the exporter settings in the configmap mentioned above.