Example #1
0
        /// <summary>
        /// 执行Get操作
        /// </summary>
        /// <typeparam name="T"></typeparam>
        /// <param name="target"></param>
        /// <returns></returns>
        protected Result <T> Wrap <T>(WrapDelegate <T> target)
        {
            var result = new Result <T>();

            try
            {
                T entity = target();
                result.Code    = null == entity ? ResultCode.Error : ResultCode.Success;
                result.Message = result.Code == ResultCode.Success ? "" : "操作失败";
                result.Data    = entity;
            }
            catch (Exception ex)
            {
                result.Code    = ResultCode.Error;
                result.Message = "系统异常!" + ex.Message;
            }
            return(result);
        }
Example #2
0
        /// <summary>
        /// Create a two-dimensional array with the flattened input as a diagonal.
        /// </summary>
        /// <param name="v">Input data</param>
        /// <param name="k">Diagonal to set; 0, the default, corresponds to the "main" diagonal, a positive(negative) `k` giving the number of the diagonal above (below) the main.</param>
        /// <returns></returns>
        public static ndarray diagflat(ndarray v, int k = 0)
        {
            /*
             * Create a two-dimensional array with the flattened input as a diagonal.
             *
             * Parameters
             * ----------
             * v : array_like
             *  Input data, which is flattened and set as the `k`-th
             *  diagonal of the output.
             * k : int, optional
             *  Diagonal to set; 0, the default, corresponds to the "main" diagonal,
             *  a positive (negative) `k` giving the number of the diagonal above
             *  (below) the main.
             *
             * Returns
             * -------
             * out : ndarray
             *  The 2-D output array.
             *
             * See Also
             * --------
             * diag : MATLAB work-alike for 1-D and 2-D arrays.
             * diagonal : Return specified diagonals.
             * trace : Sum along diagonals.
             *
             * Examples
             * --------
             * >>> np.diagflat([[1,2], [3,4]])
             * array([[1, 0, 0, 0],
             *     [0, 2, 0, 0],
             *     [0, 0, 3, 0],
             *     [0, 0, 0, 4]])
             *
             * >>> np.diagflat([1,2], 1)
             * array([[0, 1, 0],
             *     [0, 0, 2],
             *     [0, 0, 0]])
             */

            ndarray fi;

            WrapDelegate wrap = null;

            v = asarray(v).ravel();
            int     s   = len(v);
            int     n   = s + Math.Abs(k);
            ndarray res = zeros(new shape(n, n), dtype: v.Dtype);

            if (k >= 0)
            {
                ndarray i = arange(0, n - k, null, null);
                fi = i + k + i * n;
            }
            else
            {
                ndarray i = arange(0, n + k, null, null);
                fi = i + (i - k) * n;
            }
            res.Flat[fi] = v;
            if (wrap == null)
            {
                return(res);
            }
            return(wrap(res));
        }