using System;

using NumSharp.Backends;

namespace NumSharp

{

public static partial class np

{

/// <summary>

/// Return the fractional and integral parts of an array, element-wise.

/// The fractional and integral parts are negative if the given number is negative.

/// </summary>

/// <param name="x">Input array.</param>

/// <param name="outType">The dtype the returned ndarray should be of, only non integer values are supported.</param>

/// <returns>Fractional part of x. This is a scalar if x is a scalar.</returns>

/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.modf.html</remarks>

public static (NDArray Fractional, NDArray Intergral) modf(in NDArray x, NPTypeCode? outType = null)

=> x.TensorEngine.ModF(x, outType);

/// <summary>

/// Return the fractional and integral parts of an array, element-wise.

/// The fractional and integral parts are negative if the given number is negative.

/// </summary>

/// <param name="x">Input array.</param>

/// <param name="outType">The dtype the returned ndarray should be of, only non integer values are supported.</param>

/// <returns>Fractional part of x. This is a scalar if x is a scalar.</returns>

/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.modf.html</remarks>

public static (NDArray Fractional, NDArray Intergral) modf(in NDArray x, Type outType)

=> x.TensorEngine.ModF(x, outType);

}

}