}

template <typename T>
void ExpectEquals(AbstractTensorHandle* t, T expected) {
  TF_Tensor* result_t;
  Status s = tensorflow::GetValue(t, &result_t);
  ASSERT_TRUE(s.ok()) << s.message();
  auto value = static_cast<T*>(TF_TensorData(result_t));
  EXPECT_EQ(*value, expected);
  TF_DeleteTensor(result_t);
}

// TODO(srbs): Add tests for captures.

        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick", salutation="Mr.")
        function ->> execute: führe Code der Funktion aus
        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Rick")
        function ->> code: gib das gespeicherte Resultat zurück
    end

	var (
		calledWithToken []string

		resultUsers map[string]user.Info
		resultOk    bool
		resultErr   error
	)
	fakeAuth := authenticator.TokenFunc(func(ctx context.Context, token string) (*authenticator.Response, bool, error) {
		calledWithToken = append(calledWithToken, token)
		return &authenticator.Response{User: resultUsers[token]}, resultOk, resultErr
	})
	fakeClock := testingclock.NewFakeClock(time.Now())

  TF_DeleteAbstractTensor(at);

  // Verify the results.
  ASSERT_EQ(1, TF_OutputListNumOutputs(o));
  TF_AbstractTensor* result = TF_OutputListGet(o, 0);
  TFE_TensorHandle* result_t =
      TF_AbstractTensorGetEagerTensor(result, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  TF_Tensor* result_tensor = TFE_TensorHandleResolve(result_t, status.get());

	for _, testcase := range tests {
		resultName, resultNs, err := getISCSISecretNameAndNamespace(testcase.spec, testcase.defaultNs)
		if err != testcase.expectedError || resultName != testcase.expectedName || resultNs != testcase.expectedNs {
			t.Errorf("%s failed: expected err=%v ns=%q name=%q, got %v/%q/%q", testcase.name, testcase.expectedError, testcase.expectedNs, testcase.expectedName,
				err, resultNs, resultName)
		}
	}

}

			}

			// Return if an error is expected
			if test.expectedError {
				return
			}

			// Validate the resulted kubeconfig
			kubeconfigBytes, err = clientcmd.Write(*kubeconfig)
			if err != nil {
				t.Fatalf("cannot marshal resulted kubeconfig %v", err)
			}
			if string(kubeconfigBytes) != expectedKubeconfig {
				t.Error("unexpected kubeconfig")
				diff := difflib.UnifiedDiff{

  EXPECT_THAT(
      attribute,
      AllOf(Eq(mlir::DenseElementsAttr::get(
                mlir::RankedTensorType::get({1ULL << 35}, builder.getF32Type()),
                42.0f)),
            ResultOf(IsSplat, IsTrue())));
}

TEST(ConvertTensorProtoTest, NonSplatTensor) {
  TensorProto proto = tensor::CreateTensorProto<float>(
      /*values=*/{1.0f, 2.0f, 3.0f, 4.0f}, /*shape=*/{2, 2});

```Python
results = await some_library()
```
Alors, déclarez vos *fonctions de chemins* avec `async def` comme ceci :

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

!!! note
    Vous pouvez uniquement utiliser `await` dans les fonctions créées avec `async def`.

//
// errored
//
// Returns true if the authorization check resulted in an error.
//
//	<Decision>.errored() <bool>
//
// Examples:
//
//	authorizer.group('').resource('pods').namespace('default').check('create').errored() // Returns true if the authorization check resulted in an error
//
// error
//
// If the authorization check resulted in an error, returns the error. Otherwise, returns the empty string.
//

  }

  // If there are no immutable states, use the result's state if it is the
  // only one result and has parameters propagated.
  if (op->getNumResults() == 1 && mutable_results_num == 1) {
    return mutable_states.back()->params;
  }

  // Use the first propagated state to quantize the rest operands and results.
  if (!mutable_states.empty()) return mutable_states.front()->params;