np.cumsum.cs

using NumSharp.Backends;

namespace NumSharp
{
    public static partial class np
    {
        /// <summary>
        ///     Return the cumulative sum of the elements along a given axis.
        /// </summary>
        /// <param name="arr">Input array.</param>
        /// <param name="axis">Axis along which the cumulative sum is computed. The default (None) is to compute the cumsum over the flattened array.</param>
        /// <param name="typeCode">Type of the returned array and of the accumulator in which the elements are summed. If dtype is not specified, it defaults to the dtype of a, unless a has an integer dtype with a precision less than that of the default platform integer. In that case, the default platform integer is used.</param>
        /// <returns>A new array holding the result is returned unless out is specified, in which case a reference to out is returned. The result has the same size as a, and the same shape as a if axis is not None or a is a 1-d array.</returns>
        /// <remarks>https://numpy.org/doc/stable/reference/generated/numpy.cumsum.html</remarks>
        public static NDArray cumsum(NDArray arr, int? axis = null, NPTypeCode? typeCode = null)
        {
            return arr.TensorEngine.ReduceCumAdd(arr, axis, typeCode);
        }
    }
}