/// tip | Tipp

Das Attribut `model_config` wird nur für die Pydantic-Konfiguration verwendet. Weitere Informationen finden Sie unter <a href="https://docs.pydantic.dev/latest/concepts/config/" class="external-link" target="_blank">Pydantic: Concepts: Configuration</a>.

///

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`

- plugin metadata missing
- plugin metadata retrieval problem
- plugin artifact missing
- plugin artifact retrieval problem
- plugin dependency metadata missing
- plugin dependency metadata retrieval problem
- plugin configuration problem
- plugin execution failure due to something that is known to possibly go wrong (like compilation failure)
- plugin execution error due to something that is not expected to go wrong (the compiler executable missing)

            }
            logger.warn("");
            if (validationReportLevel == ValidationReportLevel.VERBOSE) {
                logger.warn(
                        "Fix reported issues by adjusting plugin configuration or by upgrading above listed plugins. If no upgrade available, please notify plugin maintainers about reported issues.");
            }
            logger.warn(

Where the spec is ambiguous, OkHttp follows modern user agents such as popular Browsers or common HTTP Libraries.

OkHttp is principled and avoids being overly configurable, especially when such configuration is
to workaround a buggy server, test invalid scenarios or that contradict the relevant RFC.
Other HTTP libraries exist that fill that gap allowing extensive customisation including potentially
invalid requests.

Handlers should remain backwards compatible. If a breaking API change is required, a new handler ID should be created.

## Setup & Configuration

A **Manager** is used to manage all incoming and outgoing connections to a server.

On startup all remote servers must be specified.
From that individual connections will be spawned to each remote server,

	)

	ErrCertsAndHTTPEndpoints = newErrFn(
		"HTTP specified in endpoints, but the server in the local machine is configured with a TLS certificate",
		"Please remove the certificate in the configuration directory or switch to HTTPS",
		"",
	)

	ErrTLSWrongPassword = newErrFn(
		"Unable to decrypt the private key using the provided password",

Na versão 2 do Pydantic, você usaria o atributo `model_config`, que recebe um `dict`, conforme descrito na <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">documentação do Pydantic: Configuration</a>.

Você pode definir `"json_schema_extra"` com um `dict` contendo quaisquer dados adicionais que você queira que apareçam no JSON Schema gerado, incluindo `examples`.

////

//// tab | Pydantic v1

{* ../../docs_src/settings/app03_an_py39/config.py hl[9] *}

/// tip | Consejo

El atributo `model_config` se usa solo para configuración de Pydantic. Puedes leer más en <a href="https://docs.pydantic.dev/latest/concepts/config/" class="external-link" target="_blank">Pydantic: Concepts: Configuration</a>.

///

////

//// tab | Pydantic v1

{* ../../docs_src/settings/app03_an_py39/config_pv1.py hl[9:10] *}

use lazy types (ConfigurableFileCollection, Provider API, domain object containers) when defining configurable parts of a plugin (tasks, extensions, domain objects).  The Provider API provides a consistent way to set conventions, wire related configuration together (extension <- domain object <- task) and avoid evaluation ordering problems.

The Gradle codebase has evolved over time and has a mixture of simple getter/setter methods, Provider API and things in between.  It can be hard to follow...