package cmd

import (
	"slices"
	"testing"

	"gopkg.in/yaml.v3"
)

func TestParseBatchJobExpire(t *testing.T) {
	expireYaml := `
expire: # Expire objects that match a condition
  apiVersion: v1
  bucket: mybucket # Bucket where this batch job will expire matching objects from
  prefix: myprefix # (Optional) Prefix under which this job will expire objects matching the rules below.
  rules:

    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
    - uses: zofrex/mirror-branch@0be56f4c8077a288a635a491b306ba0bb1c810e6 # v1.0.4
      name: Set nightly branch to master HEAD
      with:

          Supplier<I> tableSupplier) {
    return TableCollectors.<T, R, C, V, I>toTable(
        rowFunction,
        columnFunction,
        valueFunction,
        (v1, v2) -> {
          throw new IllegalStateException("Conflicting values " + v1 + " and " + v2);
        },
        tableSupplier);
  }

  static <
          T extends @Nullable Object,
          R extends @Nullable Object,

//// tab | Pydantic v2

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[17:22, 24] *}

////

//// tab | Pydantic v1

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py hl[17:22, 24] *}

////

/// info | Información

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

/// info | Información

En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`.

Los ejemplos aquí usan `.dict()` para compatibilidad con Pydantic v1, pero deberías usar `.model_dump()` en su lugar si puedes usar Pydantic v2.

///

### Acerca de `**user_in.dict()`

    $("#numSearchOption").prop("selectedIndex", 0);
    return false;
  });

  if (typeof $.fn.suggestor === "function") {
    $("#query").suggestor({
      ajaxinfo: {
        url: contextPath + "/api/v1/suggest-words",
        fn: ["_default", "content", "title"],
        num: 10,
        lang: $("#langSearchOption").val()
      },
      boxCssInfo: {
        border: "1px solid rgba(82, 168, 236, 0.5)",

          Supplier<I> tableSupplier) {
    return TableCollectors.<T, R, C, V, I>toTable(
        rowFunction,
        columnFunction,
        valueFunction,
        (v1, v2) -> {
          throw new IllegalStateException("Conflicting values " + v1 + " and " + v2);
        },
        tableSupplier);
  }

  static <
          T extends @Nullable Object,
          R extends @Nullable Object,

Because we are using a relative URL, if your API was located at `https://example.com/`, then it would refer to `https://example.com/token`. But if your API was located at `https://example.com/api/v1/`, then it would refer to `https://example.com/api/v1/token`.

Using a relative URL is important to make sure your application keeps working even in an advanced use case like [Behind a Proxy](../../advanced/behind-a-proxy.md){.internal-link target=_blank}.

Puedes declarar `examples` para un modelo de Pydantic que se añadirá al JSON Schema generado.

//// tab | Pydantic v2

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

////

//// tab | Pydantic v1

{* ../../docs_src/schema_extra_example/tutorial001_pv1_py310.py hl[13:23] *}

////

Esa información extra se añadirá tal cual al **JSON Schema** generado para ese modelo, y se usará en la documentación de la API.

Now you know that whenever you need them you can use them in **FastAPI**.

### Pydantic v1 `regex` instead of `pattern` { #pydantic-v1-regex-instead-of-pattern }

Before Pydantic version 2 and before FastAPI 0.100.0, the parameter was called `regex` instead of `pattern`, but it's now deprecated.

You could still see some code using it:

//// tab | Pydantic v1

{* ../../docs_src/query_params_str_validations/tutorial004_regex_an_py310.py hl[11] *}