* **`300`** und darüber steht für „Redirection“ („Umleitung“).  Responses mit diesen Statuscodes können einen oder keinen Body haben, mit Ausnahme von `304`, „Not Modified“ („Nicht verändert“), welche keinen haben darf.

Der Marker `@pytest.mark.anyio` teilt pytest mit, dass diese Testfunktion asynchron aufgerufen werden soll:

{* ../../docs_src/async_tests/test_main.py hl[7] *}

/// tip | "Tipp"

Beachten Sie, dass die Testfunktion jetzt `async def` ist und nicht nur `def` wie zuvor, wenn Sie den `TestClient` verwenden.

///

Dann können wir einen `AsyncClient` mit der App erstellen und mit `await` asynchrone Requests an ihn senden.

## Ports {#ports}

### Linux {#linux}

As [announced](go1.23#linux) in the Go 1.23 release notes, Go 1.24 requires Linux
kernel version 3.2 or later.

### WebAssembly {#wasm}

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

Go 1.22 changed how the runtime interacts with transparent huge pages on Linux.
In particular, a common default Linux kernel configuration can result in
significant memory overheads, and Go 1.22 no longer works around this default.
To work around this issue without adjusting kernel settings, transparent huge
pages can be disabled for Go memory with the
[`disablethp` setting](/pkg/runtime#hdr-Environment_Variable).

# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.
# Users can still include debug info for a specific kernel, e.g. with:
#     --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g
# Since this .bazelrc file is synced between the tensorflow/tensorflow repo and

debugging information with `--config=dbg`, as issues occur on Linux if
there is too much debug info (see [this GitHub
issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If
you want to debug a kernel, you can compile specific files with `-g` using the
`--per_file_copt` bazel option. For example, if you want to debug the Identity
op, which are in files starting with `identity_op`, you can run

```bash

- Allow pods to use the `net.ipv4.tcp_rmem` and `net.ipv4.tcp_wmem` sysctl by default
  when the kernel version is 4.15 or higher. With the kernel 4.15 the sysctl became namespaced.

- Add `/sys/devices/virtual/powercap` to default masked paths. It avoids the potential security risk that the ability to read these files may offer a power-based sidechannel attack against any workloads running on the same kernel. ([#125970](https://github.com/kubernetes/kubernetes/pull/125970), [@carlory](https://github.com/carlory)) [SIG Node]
- Fix a bug that Pods could stuck in the unschedulable pod pool 

- The (alpha) nftables mode of kube-proxy now requires version 1.0.1 or later
  of the nft command-line, and kernel 5.13 or later. (For testing/development
  purposes, you can use older kernels, as far back as 5.4, if you set the
  `nftables.skipKernelVersionCheck` option in the kube-proxy config, but this is not