==============================================================================*/

#include "tensorflow/compiler/jit/cluster_scoping_pass.h"

#include "absl/container/flat_hash_map.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/test_util.h"
#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/common_runtime/graph_def_builder_util.h"

from tensorflow.python.framework import function


@function.Defun(tf.float32, tf.float32)
def plus(a, b):
  return a + b


def test_defun():
  x = tf.constant([[1.0], [1.0], [1.0]])
  y = tf.constant([[2.0], [2.0], [2.0]])

  # Verify that the function defined using function.Defun
  # has a corresponding tf.LegacyCall op.
  # CHECK:      func {{@[a-zA-Z_0-9]+}}(

  OUT(2) << "}\n";

  OUT(2) << "auto spec = std::make_unique<quant::OpQuantSpec>();\n";
  llvm::SmallVector<llvm::StringRef, 3> matches;
  for (auto *def : defs) {
    Operator op(def);
    for (const auto t : op.getTraits()) {
      if (auto opTrait = llvm::dyn_cast<mlir::tblgen::NativeTrait>(&t)) {
        auto trait_str = opTrait->getFullyQualifiedTraitName();

  for (Node* node : graph->nodes()) {
    if (CanCreateXlaKernel(node->def())) {
      const FunctionBody* fbody = nullptr;
      std::vector<int> constant_arg_indices;
      std::vector<int> resource_arg_indices;

      NameAttrList function;
      TF_RETURN_IF_ERROR(NameAndAttrsFromFunctionCall(node->def(), &function));

      // Force all constants to be on the host memory.

=== "Python 3.8+"

    ```Python hl_lines="1"
    async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
        return {"fresh_value": fresh_value}

)

load("@rules_jvm_external//:defs.bzl", "maven_install")

maven_install(
    artifacts = [

    ],
    repositories = [
        "https://repo.maven.apache.org/maven2/"
    ],
)
"""
    }

    String generateBuildFile(Integer subProjectNumber, DependencyTree dependencyTree) {
        def isRoot = subProjectNumber == null

Es kann sich um eine `async def`- oder normale `def`-Funktion handeln. **FastAPI** weiß, wie damit zu verfahren ist.

In diesem Fall schreibt die Taskfunktion in eine Datei (den Versand einer E-Mail simulierend).

Und da der Schreibvorgang nicht `async` und `await` verwendet, definieren wir die Funktion mit normalem `def`:

```Python hl_lines="6-9"
{!../../../docs_src/background_tasks/tutorial001.py!}

			defs := GetOpenAPIDefinitionsWithoutDisabledFeatures(getOpenAPIDefs)(func(path string) spec.Ref {
				return spec.Ref{}
			})
			def := defs["k8s.io/api/apps/v1.DeploymentCondition"]
			enumAppeared := false
			for _, prop := range def.Schema.Properties {
				if strings.Contains(prop.Description, "enum") {
					enumAppeared = true

}

func canonicalMethod(pass *analysis.Pass, id *ast.Ident) {
	// Expected input/output.
	expect, ok := canonicalMethods[id.Name]
	if !ok {
		return
	}

	// Actual input/output
	sign := pass.TypesInfo.Defs[id].Type().(*types.Signature)
	args := sign.Params()
	results := sign.Results()

	// Special case: WriteTo with more than one argument,
	// not trying at all to implement io.WriterTo,

      if (env_->FileExists(file_path).ok()) {
        TF_CHECK_OK(api_def_map_->LoadFile(env_, file_path)) << file_path;
      } else {
        // API defs are currently used for only optional pieces.
      }
    }
  }

  // Doc strings (summary, description) typically come from the API def.
  api_def_map_->UpdateDocs();
}

void Controller::BuildModel() {
  // Build the internal data model for the requested ops