Переменные окружения могут содержать только текстовые строки, так как они внешние по отношению к Python и должны быть совместимы с другими программами и остальной системой (и даже с разными операционными системами, такими как Linux, Windows, macOS).

Это означает, что любое значение, прочитанное в Python из переменной окружения, будет `str`, а любые преобразования к другим типам или любая валидация должны выполняться в коде.

## Pydantic `Settings` { #pydantic-settings }

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    {% if not config.extra.generator == false %}
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hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=needs_py310),
        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.custom_request_and_route.{request.param}")

import java.util.SortedMap;
import java.util.SortedSet;
import org.jspecify.annotations.Nullable;

/**
 * Implementation of {@code Table} whose iteration ordering across row keys is sorted by their
 * natural ordering or by a supplied comparator. Note that iterations across the columns keys for a
 * single row key may or may not be ordered, depending on the implementation. When rows and columns

    }

    /**
     * Gets the total number of records available across all pages.
     *
     * @return the total record count
     */
    public int getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Sets the total number of records available across all pages.
     *
     * @param allRecordCount the total record count to set
     */

system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas...

/**
 * Pseudo test to generate documentation fragment about supported CLI options. TODO such documentation generation code
 * should not be necessary as unit test but should be run during site generation (Velocity? Doxia macro?)
 */
@Deprecated
class CLIManagerDocumentationTest {
    private static final String LS = System.lineSeparator();

    private static class OptionComparator implements Comparator<Option> {
        @Override

Diese Umgebungsvariablen können nur Text-Zeichenketten verarbeiten, da sie außerhalb von Python liegen und mit anderen Programmen und dem Rest des Systems (und sogar mit verschiedenen Betriebssystemen wie Linux, Windows, macOS) kompatibel sein müssen.

Das bedeutet, dass jeder in Python aus einer Umgebungsvariablen gelesene Wert ein `str` ist und jede Konvertierung in einen anderen Typ oder jede Validierung im Code erfolgen muss.

     * the server.
     */
    int NTLMSSP_REQUEST_TARGET = 0x00000004;

    /**
     * Specifies that communication across the authenticated channel
     * should carry a digital signature (message integrity).
     */
    int NTLMSSP_NEGOTIATE_SIGN = 0x00000010;

    /**
     * Specifies that communication across the authenticated channel
     * should be encrypted (message confidentiality).
     */