public List<org.apache.maven.api.Toolchain> getToolchains(
                @Nonnull Session session, @Nonnull String type, @Nullable Map<String, String> requirements)
                throws ToolchainManagerException {
            return getDelegate().getToolchains(session, type, requirements);
        }

        @Nonnull
        @Override
        public Optional<org.apache.maven.api.Toolchain> getToolchainFromBuildContext(

    /**
     * Let the toolchain decide if it matches requirements defined
     * in the toolchain plugin configuration.
     *
     * @param requirements key value pair, may not be {@code null}
     * @return {@code true} if the requirements match, otherwise {@code false}
     */
    boolean matchesRequirements(Map<String, String> requirements);

    /**
     * Select all toolchains available in user settings matching the type and requirements,
     * independently from <code>maven-toolchains-plugin</code>.
     *
     * @param session the Maven session, must not be {@code null}
     * @param type the type, must not be {@code null}
     * @param requirements the requirements, may be {@code null}
     * @return the matching toolchains, never {@code null}
     * @since 3.3.0

    srcs = [
        "nvidia-requirements.txt",
        "requirements.in",
        ":nvidia_constraints",
    ],
    extra_args = [
        "--allow-unsafe",
        "--build-isolation",
        "--rebuild",
        "-c $(location :nvidia_constraints)",
    ],
    generate_hashes = True,
    requirements_txt = REQUIREMENTS,

public interface ToolchainManager extends Service {

    /**
     * Retrieves toolchains matching the specified type and requirements.
     *
     * @param session The Maven session context
     * @param type The type of toolchain (e.g., "jdk", "compiler")
     * @param requirements Key-value pairs specifying toolchain requirements (e.g., "version": "11")
     * @return List of matching toolchains, never null

///

## Dependencies errors and return values { #dependencies-errors-and-return-values }

You can use the same dependency *functions* you use normally.

### Dependency requirements { #dependency-requirements }

They can declare request requirements (like headers) or other sub-dependencies:

{* ../../docs_src/dependencies/tutorial006_an_py310.py hl[8,13] *}

### Raise exceptions { #raise-exceptions }

  @StartStop
  public final MockWebServer server = new MockWebServer();

  @Test
  void test() {
    ...
  }
}
```

Requirements
------------

MockWebServer's JUnit 5 integration works on Android 7.0+ (API level 24+) and Java 8+. Note that

* Using a cloud service that would run a container image for you, etc.

### Package Requirements { #package-requirements }

You would normally have the **package requirements** for your application in some file.

It would depend mainly on the tool you use to **install** those requirements.

The most common way to do it is to have a file `requirements.txt` with the package names and their versions, one per line.

All in a way that provided the best development experience for all the developers.

## Requirements { #requirements }

After testing several alternatives, I decided that I was going to use [**Pydantic**](https://docs.pydantic.dev/) for its advantages.

     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   
   -----------------------------------------------------------------------------------------------
   
   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**