Level audit.Level

	// OmitStages is the stages that need to be omitted from being audited.
	OmitStages []audit.Stage

	// OmitManagedFields indicates whether to omit the managed fields of the request
	// and response bodies from being written to the API audit log.
	OmitManagedFields bool
}

// PolicyRuleEvaluator exposes methods for evaluating the policy rules.
type PolicyRuleEvaluator interface {

// The chunkedReader returns [io.EOF] when the final 0-length chunk is read.
//
// NewChunkedReader is not needed by normal applications. The http package
// automatically decodes chunking when reading response bodies.
func NewChunkedReader(r io.Reader) io.Reader {
	return internal.NewChunkedReader(r)
}

// NewChunkedWriter returns a new chunkedWriter that translates writes into HTTP

from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.schema_extra_example.tutorial004_an import app

client = TestClient(app)


# Test required and embedded body parameters with no bodies sent
def test_post_body_example():
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",
            "price": 35.4,

// license that can be found in the LICENSE file.

// Test escape analysis and liveness inferred for uintptrkeepalive functions.
//
// This behavior is enabled automatically for function declarations with no
// bodies (assembly, linkname), as well as explicitly on complete functions
// with //go:uintptrkeepalive.
//
// This is most important for syscall.Syscall (and similar functions), so we
// test it explicitly.

package p

@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial004_an_py310 import app

    client = TestClient(app)
    return client


# Test required and embedded body parameters with no bodies sent
@needs_py310
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",

@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial004_an_py39 import app

    client = TestClient(app)
    return client


# Test required and embedded body parameters with no bodies sent
@needs_py39
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",

@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial004_py310 import app

    client = TestClient(app)
    return client


# Test required and embedded body parameters with no bodies sent
@needs_py310
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",

include "mlir/Pass/PassBase.td"

// TF SavedModel dialect passes.

def FreezeGlobalTensorsPass : Pass<"tf-saved-model-freeze-global-tensors", "ModuleOp"> {
  let summary = "Freeze tf_saved_model.global_tensor's in func bodies.";

  let description = [{
    This pass will replace a func's bound inputs which are bound to
    tf.ReadVariable ops global tensors with tf.Const ops inside the func's body.

 *     <li>Changes to private class elements, such as private fields, methods and inner classes.</li>
 *     <li>Changes to code, such as method bodies, static initializers and field initializers (except for constants).</li>
 *     <li>Changes to debug information, for example when a change to a comment affects the line numbers in class debug information.</li>

    ```

But that is still not that useful.

Let's make it give us the current user.

## Create a user model

First, let's create a Pydantic user model.

The same way we use Pydantic to declare bodies, we can use it anywhere else:

=== "Python 3.10+"

    ```Python hl_lines="5  12-16"
    {!> ../../../docs_src/security/tutorial002_an_py310.py!}
    ```

=== "Python 3.9+"