// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package art

import (
	_ "embed"

	"github.com/fatih/color"
)

//go:embed istio-ascii.txt
var istioASCIIArt string

func IstioArt() string {
	return istioASCIIArt
}

func IstioColoredArt() string {

            getExtension() >> "art-ext"
            getType() >> "art-type"
            getClassifier() >> "art-classifier"
        }

        when:
        1 * publishArtifact.getName() >> "art-name"

        then:
        def name = DefaultIvyArtifactName.forPublishArtifact(publishArtifact)
        name.name == "art-name"
        name.extension == "art-ext"
        name.type == "art-type"

const char* art = R"(
  ___  ___  __  __ _       ___                     _
 / _ \|   \|  \/  | |     / __|___ _ ___ _____ _ _| |_ ___ _ _
| (_) | |) | |\/| | |__  | (__/ _ \ ' \ V / -_) '_|  _/ -_) '_|
 \___/|___/|_|  |_|____|  \___\___/_||_\_/\___|_|  \__\___|_|
)";

int main(int argc, char* argv[]) {
  tensorflow::InitMlir y(&argc, &argv);
  llvm::errs() << art << "\n";

                    // enable re-resolution
                    org.eclipse.aether.artifact.Artifact art = dep.getArtifact();
                    art = art.setFile(null).setVersion(art.getBaseVersion());
                    dep = dep.setArtifact(art);
                }
                collect.addDependency(dep);
            }
        }

        when:
        ModuleComponentArtifactMetadata result = serialize(identifier, serializer)

        then:
        result.id.componentIdentifier.group == 'group'
        result.id.componentIdentifier.module == 'module'
        result.id.componentIdentifier.version == 'version'
        result.name.name == "art-name"
        result.name.type == "type"

                        arts.collect { art ->
                            objects.newInstance(ResolvedArtifactBean).tap { bean ->
                                bean.file = art.file
                                bean.id = art.id
                                bean.type = art.type
                                bean.variant = art.variant
                            }
                        }

        when:
        ModuleComponentArtifactIdentifier result = serialize(identifier, serializer)

        then:
        result.componentIdentifier.group == 'group'
        result.componentIdentifier.module == 'module'
        result.componentIdentifier.version == 'version'
        result.name.name == "art-name"
        result.name.type == "type"

                            confs += it
                        }
                    }
                    def attrs = [name: art.name, type: art.type, ext: art.ext, conf: confs.join(',')]
                    if (art.classifier) {
                        attrs["m:classifier"] = art.classifier
                    }
                    builder.artifact(attrs)
                }
            }
        }

Verwenden Sie einfach jede Art von Modell, jede Art von Klasse, jede Art von Datenbank, die Sie für Ihre Anwendung benötigen. **FastAPI** deckt das alles mit seinem Dependency Injection System ab.

## Codegröße

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }