## URL de OpenAPI { #openapi-url }

Por defecto, el esquema OpenAPI se sirve en `/openapi.json`.

Pero puedes configurarlo con el parámetro `openapi_url`.

Por ejemplo, para configurarlo para que se sirva en `/api/v1/openapi.json`:

{* ../../docs_src/metadata/tutorial002_py39.py hl[3] *}

pkg io/fs, method (*PathError) Timeout() bool
pkg io/fs, method (*PathError) Unwrap() error
pkg io/fs, method (FileMode) IsDir() bool
pkg io/fs, method (FileMode) IsRegular() bool
pkg io/fs, method (FileMode) Perm() FileMode
pkg io/fs, method (FileMode) String() string
pkg io/fs, method (FileMode) Type() FileMode
pkg io/fs, type DirEntry interface { Info, IsDir, Name, Type }
pkg io/fs, type DirEntry interface, Info() (FileInfo, error)

esac

# prepare tmp dir
if TMP_DOWNLOAD_DIR="$(mktemp -d)" && [ -d "$TMP_DOWNLOAD_DIR" ]; then
  clean() { rm -rf -- "$TMP_DOWNLOAD_DIR"; }
  trap clean HUP INT TERM EXIT
else
  die "cannot create temp dir"
fi

mkdir -p -- "${MAVEN_HOME%/*}"

# Download and Install Apache Maven
verbose "Couldn't find MAVEN_HOME, downloading and installing it ..."

covering security practices for the entirety of the TensorFlow ecosystem.

## TensorFlow models are programs

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).

	}

	if !globalSiteReplicationSys.isEnabled() {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrNotImplemented), r.URL)
		return
	}

	nsLock := objectAPI.NewNSLock(minioMetaBucket, "site-net-perf")
	lkctx, err := nsLock.GetLock(ctx, globalOperationTimeout)
	if err != nil {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(toAPIErrorCode(ctx, err)), r.URL)
		return
	}
	ctx = lkctx.Context()

#### Использование `StreamingResponse` с файлоподобными объектами { #using-streamingresponse-with-file-like-objects }

Если у вас есть <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">файлоподобный</a> объект (например, объект, возвращаемый `open()`), вы можете создать функцию-генератор для итерации по этому файлоподобному объекту.

For "synchronous" (contrary to "asynchronous") they commonly also use the term "sequential", because the computer / program follows all the steps in sequence before switching to a different task, even if those steps involve waiting.

### Concurrency and Burgers { #concurrency-and-burgers }

See e.g. section `### List of English terms and their preferred German translations` in `docs/de/llm-prompt.md`.

#### Utilizando `StreamingResponse` com objetos semelhantes a arquivos { #using-streamingresponse-with-file-like-objects }

Se você tiver um objeto <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">semelhante a um arquivo</a> (e.g. o objeto retornado por `open()`), você pode criar uma função geradora para iterar sobre esse objeto.

		}
	}
	return lval, nil
}

func (e *UnaryTerm) evalNode(r Record, tableAlias string) (*Value, error) {
	if e.Negated == nil {
		return e.Primary.evalNode(r, tableAlias)
	}

	v, err := e.Negated.Term.evalNode(r, tableAlias)
	if err != nil {
		return nil, err
	}

	inferTypeForArithOp(v)
	v.negate()
	if v.isNumeric() {
		return v, nil
	}
	return nil, errArithMismatchedTypes
}