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).

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)

#### Using `StreamingResponse` with file-like objects { #using-streamingresponse-with-file-like-objects }

If you have a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> object (e.g. the object returned by `open()`), you can create a generator function to iterate over that file-like object.

#### Verwendung von `StreamingResponse` mit dateiartigen Objekten { #using-streamingresponse-with-file-like-objects }

Wenn Sie ein dateiartiges (<a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a>) Objekt haben (z. B. das von `open()` zurückgegebene Objekt), können Sie eine Generatorfunktion erstellen, um über dieses dateiartige Objekt zu iterieren.

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 }

#### 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.

#### Usando `StreamingResponse` con objetos similares a archivos { #using-streamingresponse-with-file-like-objects }

Si tienes un <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">objeto similar a un archivo</a> (por ejemplo, el objeto devuelto por `open()`), puedes crear una función generadora para iterar sobre ese objeto similar a un archivo.

		}
	}
	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
}

		statusCode: 400,
		cause:      err,
	}
}

func errParseUnexpectedTerm(err error) *s3Error {
	return &s3Error{
		code:       "ParseUnexpectedTerm",
		message:    "The SQL expression contains an unexpected term.",
		statusCode: 400,
		cause:      err,
	}
}

func errParseUnexpectedToken(err error) *s3Error {
	return &s3Error{
		code:       "ParseUnexpectedToken",

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