},
		wantErr: ErrHeader,
	}, {
		inputHdrs: map[string]string{
			paxGNUSparseNumBlocks: "2",
			paxGNUSparseMap:       "0,1,02,3",
			paxGNUSparseRealSize:  "4321",
		},
		wantMap:  sparseDatas{{0, 1}, {2, 3}},
		wantSize: 4321,
	}, {
		inputHdrs: map[string]string{
			paxGNUSparseNumBlocks: "2",
			paxGNUSparseMap:       "0,one1,2,3",
		},
		wantErr: ErrHeader,
	}, {

maven-3.2.2-src.tar.gz Apache Maven 3.2.1 2014-02-21 3.2.1 http://archive.apache.org/dist/maven/maven-3/3.2.1/binaries/apache-maven-3.2.1-bin.zip http://archive.apache.org/dist/maven/maven-3/3.2.1/binaries/apache-maven-3.2.1-bin.tar.gz http://archive.apache.org/dist/maven/maven-3/3.2.1/source/apache-maven-3.2.1-src.zip http://archive.apache.org/dist/maven/maven-3/3.2.1/source/apache-maven-3.2.1-src.tar.gz Apache Maven 3.1.1 2013-10-04 3.1.1 http://archive.apache.org/dist/maven/maven-3/3.1.1/bina...

name: Update jdks.yaml

on:
  workflow_dispatch: # Allows manual triggering of the action
  schedule: # Runs the action weekly on Monday at 3:42 UTC
    - cron: '42 3 * * 1'

permissions:
  contents: write
  pull-requests: write

jobs:
  update-jdks:
    if: github.repository == 'gradle/gradle'
    permissions:
      contents: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:

Puedes usar `jsonable_encoder` para eso.

Recibe un objeto, como un modelo de Pydantic, y devuelve una versión compatible con JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

name: Auto update test buckets

on:
  schedule:
    - cron: '42 2 * * 1' # Every monday 2:42am UTC
  workflow_dispatch:

permissions:
  contents: write
  id-token: write
  pull-requests: write

jobs:
  update-test-buckets:
    runs-on: ubuntu-latest

    if: github.repository == 'gradle/gradle'

    steps:
      - name: Checkout repository
        uses: actions/checkout@v6
      - name: configure aws credentials

### Changed
_Nothing has changed._

### Removed
_Nothing has changed._



# v1.32.1


## Downloads for v1.32.1



### Source Code

filename | sha512 hash
-------- | -----------

    "pyyaml >=5.3.1",
    # For UJSONResponse
    "ujson >=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0",
    # For ORJSONResponse
    "orjson >=3.2.1",
    # To validate email fields
    "email-validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # Settings management
    "pydantic-settings >=2.0.0",

            completed.countDown();
          }
        };
    ListeningScheduledExecutorService service = listeningDecorator(delegate);
    ListenableFuture<Integer> future = service.schedule(Callables.returning(42), 1, MILLISECONDS);

    /*
     * Wait not just until the Future's value is set (as in future.get()) but
     * also until ListeningScheduledExecutorService's wrapper task is done

    checkInitialCapacity(2, 7, 4);
    checkInitialCapacity(2, 8, 4);

    checkInitialCapacity(4, 0, 1);
    checkInitialCapacity(4, 1, 1);
    checkInitialCapacity(4, 2, 1);
    checkInitialCapacity(4, 3, 1);
    checkInitialCapacity(4, 4, 1);
    checkInitialCapacity(4, 5, 2);
    checkInitialCapacity(4, 6, 2);
    checkInitialCapacity(4, 7, 2);
    checkInitialCapacity(4, 8, 2);
  }

    checkInitialCapacity(2, 7, 4);
    checkInitialCapacity(2, 8, 4);

    checkInitialCapacity(4, 0, 1);
    checkInitialCapacity(4, 1, 1);
    checkInitialCapacity(4, 2, 1);
    checkInitialCapacity(4, 3, 1);
    checkInitialCapacity(4, 4, 1);
    checkInitialCapacity(4, 5, 2);
    checkInitialCapacity(4, 6, 2);
    checkInitialCapacity(4, 7, 2);
    checkInitialCapacity(4, 8, 2);
  }