* <pre>
     * message: {item} is numeric value out of bounds (&lt;{integer} digits&gt;.&lt;{fraction} digits&gt; expected).
     * </pre>
     * @param property The property name for the message. (NotNull)
     * @param fraction The parameter fraction for message. (NotNull)
     * @param integer The parameter integer for message. (NotNull)
     * @return this. (NotNull)
     */

			completions:   6,
			wantTotal:     0,
			wantError:     errors.New(`cannot convert string to integer for index: ""`),
		},
		"invalid due to ending with '-'": {
			indexesString: "0,1-",
			completions:   6,
			wantTotal:     0,
			wantError:     errors.New(`cannot convert string to integer for index: ""`),
		},
		"invalid due to repeated '-'": {
			indexesString: "0,1--3",
			completions:   6,

      slice_op.getEndMask() != 0 || slice_op.getNewAxisMask() != 0 ||
      slice_op.getShrinkAxisMask() != 1)
    return {};

  // Returns a value if the `value` is defined by a ConstOp with a single
  // integer element in it and has an expected rank.
  auto get_const_int = [](Value value,
                          int expected_rank) -> std::optional<int64_t> {
    auto const_op = dyn_cast_or_null<ConstOp>(value.getDefiningOp());

                    property('output')
                        .forbiddenAt(reserved)
                        .includeLink()
                }))
                verifyAll(receivedProblem(index as Integer)) {
                    fqid == 'validation:property-validation:cannot-write-to-reserved-location'
                    contextualLabel == "Property \'output\' points to \'${reserved.absolutePath}\' which is managed by Gradle"

                              << input_element_type << ".\n");
      return failure();
    }

    // Output type of `UniformQuantizeOp` is guaranteed to be a quantized
    // tensor with integer storage type.
    const auto output_storage_type = GetElementType(op.getResult())
                                         .cast<QuantizedType>()
                                         .getStorageType()

func.func private @max_unpooling_2d_filter_wrong_type(%arg0: tensor<1x1x2x1xf32>, %arg1: tensor<1x1x2x1xi32>) -> tensor<1x2x4x1xf32> attributes {tf._implements = #tf_type.func<@"addons:MaxUnpooling2D", {padding = "SAME", pool_size = ["a", "b"], strides = [2, 2]}>}

  // expected-warning @+1 {{'strides' attribute for MaxUnpooling2D does not contain integer values}}

	// execute the HTTP request.
	response, err = s.client.Do(request)
	c.Assert(err, nil)
	// validating the error response.
	verifyError(c, response, "InvalidArgument", "Argument maxKeys must be an integer between 0 and 2147483647", http.StatusBadRequest)

	// create listObjectsV2 request with invalid value of max-keys parameter. max-keys is set to -2.

constexpr size_t kInitialBufferSize = 10240;

// Flatbuffer fields to be padded to 16 bytes aligned.
constexpr size_t kFbAlignment = 16;

// Set `isSigned` to false if the `type` is an 8-bit unsigned integer type.
// Since tflite doesn't support unsigned for other types, returns error if
// `isSigned` is set to false for other types.
static StatusOr<tflite::TensorType> GetTFLiteType(Type type,

				} else {
					*(*unsafe.Pointer)(addr) = v.ptr
				}
				// There's only one step for a stack-allocated value.
				break stepsLoop
			case abiStepIntReg, abiStepPointer:
				// Copy values to "integer registers."
				if v.flag&flagIndir != 0 {
					offset := add(v.ptr, st.offset, "precomputed value offset")
					if st.kind == abiStepPointer {
						// Duplicate this pointer in the pointer area of the

   * // Result.writeRowsToOutputStreamFuture() returns a ListenableFuture that resolves to the
   * // number of written rows. openOutputFile() returns a FileOutputStream (which implements
   * // Closeable).
   * ClosingFuture<Integer> rowsFuture2 =
   *     queryFuture.transformAsync(
   *         (closer, result) -> {
   *           FileOutputStream fos = closer.eventuallyClose(openOutputFile(), closingExecutor);