- CustomResourcesDefinition conversion via Web Hooks is promoted to beta. Note that you must set `spec.preserveUnknownFields` to `false`. ([#78426](https://github.com/kubernetes/kubernetes/pull/78426), [@sttts](https://github.com/sttts))

{"version":3,"file":"moment-with-locales.min.js","sources":["moment-with-locales.js"],"names":["global","factory","exports","module","define","amd","moment","this","hookCallback","some","hooks","apply","arguments","isArray","input","Array","Object","prototype","toString","call","isObject","hasOwnProp","a","b","hasOwnProperty","isObjectEmpty","obj","getOwnPropertyNames","length","k","isUndefined","isNumber","isDate","Date","map","arr","fn","res","i","push","extend","valueOf","createUTC","forma...

Harshavardhana <******@****.***> 1622584780 -0700

        for more details.
    *   Usability improvement: The frequently used tensor filter
        `has_inf_or_nan` is now added to `Session` wrappers and hooks by
        default. So there is no need for clients to call
        `.add_tensor_filter(tf_debug.has_inf_or_nan)` anymore.
*   SinhArcsinh (scalar) distribution added to `contrib.distributions`.

- Fixes a 1.32 regression starting pods with postStart hooks specified ([#130496](https://github.com/kubernetes/kubernetes/pull/130496), [@sreeram-venkitesh](https://github.com/sreeram-venkitesh)) [SIG Node]

* 🔥 Remove languages without translations. PR [#9743](https://github.com/tiangolo/fastapi/pull/9743) by [@tiangolo](https://github.com/tiangolo).
* ✨ Refactor docs for building scripts, use MkDocs hooks, simplify (remove) configs for languages. PR [#9742](https://github.com/tiangolo/fastapi/pull/9742) by [@tiangolo](https://github.com/tiangolo).

		"select * from s3object[*].books[*]",
		"select * from s3object[*].books[*].name",
		"select * from s3object where name > 2",
		"select * from s3object[*].name where name > 2",
		"select * from s3object[*].books[*] where name > 2",
		"select * from s3object[*].books[*].name where name > 2",
		"select * from s3object[*].books[*] s",
		"select * from s3object[*].books[*].name as s",

# words checklist
segfault_memory:
   - segfault
   - memory leaks
# assignees
filesystem_security_assignee:
   - mihaimaruseac
   
# Cuda Comment
cuda_comment: >
   From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries:
      * For TF-GPU - See point 1
      * For TF-CPU - See point 2
   -----------------------------------------------------------------------------------------------

# Build execution model

At the highest level, Gradle's execution model is quite simple:

Below is the protocol in some more detail:

1. The client looks for a compatible idle daemon. If there isn't one, it starts a new daemon.
2. The client connects to the idle daemon and sends it a request to do some work. If the daemon is no longer running, the client starts again.

    for prod and one for tests. However, unlike our other packages, as of this
    writing it has test supersource but no prod supersource.

    GWT happens to use the prod .gwt.xml, so it looks for no supersource for
    tests, either. This causes it to fail to find AtomicLongMapTest.

    Our workaround is to tell GWT that util.concurrent and all other packages