{
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

	if err != nil {
		t.Fatalf("Unable to format drives for erasure, %s", err)
	}

	ep := PoolEndpoints{Endpoints: endpoints}

	parity, err := ecDrivesNoConfig(16)
	if err != nil {
		t.Fatalf("Unexpected error during EC drive config: %v", err)
	}
	if _, err := newErasureSets(ctx, ep, storageDisks, format, parity, 0); err != nil {
		t.Fatalf("Unable to initialize erasure")
	}
}

  }

  absl::Status AddInput(AbstractTensorHandle* input) override {
    GraphTensor* t = dyn_cast<GraphTensor>(input);
    if (!t) {
      return tensorflow::errors::InvalidArgument(
          "Unable to cast input to GraphTensor");
    }
    TF_AddInput(op_.get(), t->output_);
    return absl::OkStatus();
  }
  absl::Status AddInputList(
      absl::Span<AbstractTensorHandle* const> inputs) override {

		tmpfile, err := os.CreateTemp("", "helm-testfile-")
		if err != nil {
			t.Fatalf("Unable to create temporary file. %s", err)
		}
		if _, err = tmpfile.WriteString(content); err != nil {
			t.Fatalf("Unable to create temporary file. %s", err)
		}
		if err = tmpfile.Close(); err != nil {
			t.Fatalf("Unable to create temporary file. %s", err)
		}
		return tmpfile.Name()
	}

	filename := createTempFile(

    public void initialize() throws InitializationException {
        String mavenVersion = rtInfo.getMavenVersion();

        if (mavenVersion == null || mavenVersion.isEmpty()) {
            throw new InitializationException("Unable to read Maven version from maven-core");
        }

        applicationVersion = new DefaultArtifactVersion(mavenVersion);
    }

	mac.Sum(sealingKey[:0])
	if n, err := sio.Encrypt(&encryptedKey, bytes.NewReader(key[:]), sio.Config{Key: sealingKey[:], CipherSuites: fips.DARECiphers()}); n != 64 || err != nil {
		logger.CriticalIf(context.Background(), errors.New("Unable to generate sealed key"))
	}
	sealedKey := SealedKey{
		IV:        iv,
		Algorithm: SealAlgorithm,
	}
	copy(sealedKey.Key[:], encryptedKey.Bytes())
	return sealedKey
}

        {
            "detail": [
                {
                    "type": "float_parsing",
                    "loc": ["body", "price"],
                    "msg": "Input should be a valid number, unable to parse string as a number",
                    "input": "invalid price",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

        "Unable to find the enqueue node in the TF graph.");
    return;
  }

  TF_Operation* placeholder_op = TF_GraphOperationByName(
      session->graph,
      tensorflow::strings::StrCat("arg_tensor_enqueue_", tensor_id).c_str());
  if (placeholder_op == nullptr) {
    status->status = tensorflow::errors::Internal(
        "Unable to find the placeholder node as input to enqueue in the TF "

    )
    assert (
        # TODO: remove when deprecating Pydantic v1
        "value is not a valid integer" in response.text
        or "Input should be a valid integer, unable to parse string as an integer"
        in response.text
    )


def test_get_http_error():
    response = client.get("/items/3")
    assert response.status_code == 418, response.text