## List of metrics exposed by MinIO

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 
- MinIO exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
- MinIO exports Prometheus compatible data by default which is node centric as an authorized endpoint at `/minio/v2/metrics/node`.

on:
  - pr_created
  - commit
  - comment_added

automations:

  # Also post a comment that lists the best experts for the files that were modified.
  comment_experts:
    if:
      - {{ ('code_experts' | isEnabledAutomation(pr)) }}
    run:
      - action: explain-code-experts@v1
        args:

{% for user in people.last_month_experts[:10] %}

<div class="user"><a href="{{ user.url }}" target="_blank"><div class="avatar-wrapper"><img src="{{ user.avatarUrl }}"/></div><div class="title">@{{ user.login }}</div></a> <div class="count">Questions répondues: {{ user.count }}</div></div>
{% endfor %}

</div>
{% endif %}

## Experts

Voici les **Experts FastAPI**. 🤓

{% if people %}
<div class="user-list user-list-center">
{% for user in people.last_month_experts[:10] %}

{% if people %}
<div class="user-list user-list-center">
{% for user in people.last_month_experts[:10] %}

W wielu przypadkach możesz już znać odpowiedź na te pytania. 🤓

Jeśli pomożesz wielu ludziom, możesz zostać oficjalnym [Ekspertem FastAPI](fastapi-people.md#fastapi-experts){.internal-link target=_blank}. 🎉

## Ports {#ports}

### Darwin {#darwin}

<!-- go.dev/issue/64207 -->
As [announced](go1.22#darwin) in the Go 1.22 release notes,
Go 1.23 requires macOS 11 Big Sur or later;
support for previous versions has been discontinued.

### Wasm {#wasm}

<!-- go.dev/issue/63718 -->
The `go_wasip1_wasm_exec` script in `GOROOT/misc/wasm` has dropped support

*   `tf.estimator`:
    *   `Estimator`s now use custom savers included in `EstimatorSpec` scaffolds
        for saving SavedModels during export.
    *   `EstimatorSpec` will now add a default prediction output for export if
        no `export_output` is provided, eliminating the need to explicitly
        include a `PredictOutput` object in the `model_fn` for simple use-cases.

    Use the chat only for other general conversations.

### Don't use the chat for questions

You can think of it as a *path operation function* without the "decorator" (without the `@app.get("/some-path")`).

And it can return anything you want.

In this case, this dependency expects:

* An optional query parameter `q` that is a `str`.
* An optional query parameter `skip` that is an `int`, and by default is `0`.
* An optional query parameter `limit` that is an `int`, and by default is `100`.