</p>

<pre class="grammar">
"var" IdentifierList "=" ExpressionList .
</pre>

<pre>
i, j := 0, 10
f := func() int { return 7 }
ch := make(chan int)
r, w, _ := os.Pipe()  // os.Pipe() returns a connected pair of Files and an error, if any
_, y, _ := coord(p)   // coord() returns three values; only interested in y coordinate
</pre>

<p>

*   1.  Install tf-keras via pip install tf-keras~=2.16

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment
        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows

* 👷 Add pre-commit GitHub Action workflow. PR [#4895](https://github.com/tiangolo/fastapi/pull/4895) by [@tiangolo](https://github.com/tiangolo).
* 📝 Add dark mode auto switch to docs based on OS preference. PR [#4869](https://github.com/tiangolo/fastapi/pull/4869) by [@ComicShrimp](https://github.com/ComicShrimp).

pkg net, method (IP) MarshalText() ([]uint8, error)
pkg net, type Dialer struct, DualStack bool
pkg net/smtp, method (*Client) Close() error
pkg os (linux-arm), const O_SYNC = 1052672
pkg os (linux-arm-cgo), const O_SYNC = 1052672
pkg reflect, method (Value) SetCap(int)
pkg reflect, method (Value) Slice3(int, int, int) Value
pkg runtime, type MemStats struct, GCSys uint64