// have a corresponding 'depth_multiplier' attribute; the multiplier is the
    // fourth dimension in the 4-D filter tensor. We query the multiplier from
    // tf.DepthwiseConv2dNative and set it as the attribute value accordingly.
    auto multiplier =
        mlir::cast<RankedTensorType>(filter.getType()).getDimSize(3);

    filter = legalizeFilter(rewriter, loc, filter);

                $w_factor, TFL_AF_None, $padding, $stride_h, $stride_w,
                $multiplier)),
    (TFL_DepthwiseConv2DOp $input, $filter, $bias, $h_factor, $w_factor,
        ActFnAttr, $padding, $stride_h, $stride_w, $multiplier),
    [(HasOneUse $conv_out)]>;
}

multiclass FuseActFnIntoPoolOpPat<Op ActFnOp, ConstantStrAttr ActFnAttr> {

                        parameters.multiplier.set(2)
                    }
                    registerTransform(MakeColor) {
                        from.attribute(color, 'red')
                        to.attribute(color, 'green')
                        parameters.targetColor.set('green')
                        parameters.multiplier.set(1)
                    }
                }
            }

    int64_t in_channels = input_shape[3];
    // If in_channels is 1, there is no need to restore weight shape.
    if (in_channels == 1) return failure();
    int64_t multiplier = weight_shape[3] / in_channels;

    TensorType new_shape = RankedTensorType::get(
        {weight_shape[0], weight_shape[1], in_channels, multiplier},
        weight_type.getElementType());

    static final int MULTIPLIER = 1682554634;
    static final int SHIFT = Integer.numberOfLeadingZeros(TABLE.length() - 1);

    static final CharMatcher INSTANCE = new Whitespace();

    Whitespace() {
      super("CharMatcher.whitespace()");
    }

    @Override
    public boolean matches(char c) {
      return TABLE.charAt((MULTIPLIER * c) >>> SHIFT) == c;
    }

    static final int MULTIPLIER = 1682554634;
    static final int SHIFT = Integer.numberOfLeadingZeros(TABLE.length() - 1);

    static final CharMatcher INSTANCE = new Whitespace();

    Whitespace() {
      super("CharMatcher.whitespace()");
    }

    @Override
    public boolean matches(char c) {
      return TABLE.charAt((MULTIPLIER * c) >>> SHIFT) == c;
    }

            properties:
              detectMultiplier:
                description: Configures the detection multiplier to determine packet
                  loss. The remote transmission interval will be multiplied by this
                  value to determine the connection loss detection timer.
                format: int32
                maximum: 255
                minimum: 2

                float coreMultiplier = Float.parseFloat(str);

                if (coreMultiplier <= 0.0f) {
                    throw new IllegalArgumentException("Invalid threads core multiplier value: '" + threadConfiguration
                            + "'. Value must be positive.");
                }

                int procs = Runtime.getRuntime().availableProcessors();

	// pointer bitmap for objects of a size smaller than this doesn't cross
	// more than one pointer-word boundary. This sets an upper-bound on this
	// value at the number of bits in a uintptr, multiplied by the pointer
	// size in bytes.
	//
	// We choose a value here that has a natural cutover point in terms of memory
	// overheads. This value just happens to be the maximum possible value this
	// can be.
	//

	return -1
}

// getServerPoolsAvailableSpace will return the available space of each pool after storing the content.
// If there is not enough space the pool will return 0 bytes available.
// The size of each will be multiplied by the number of sets.
// Negative sizes are seen as 0 bytes.
func (z *erasureServerPools) getServerPoolsAvailableSpace(ctx context.Context, bucket, object string, size int64) serverPoolsAvailableSpace {