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// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
using System.Runtime.Intrinsics;
namespace System.Numerics.Tensors
{
public static partial class TensorPrimitives
{
/// <summary>Computes the element-wise result of raising 10 to the number powers in the specified tensor, minus one.</summary>
/// <param name="x">The tensor, represented as a span.</param>
/// <param name="destination">The destination tensor, represented as a span.</param>
/// <exception cref="ArgumentException">Destination is too short.</exception>
/// <exception cref="ArgumentException"><paramref name="x"/> and <paramref name="destination"/> reference overlapping memory locations and do not begin at the same location.</exception>
/// <remarks>
/// <para>
/// This method effectively computes <c><paramref name="destination" />[i] = <typeparamref name="T"/>.Exp10M1(<paramref name="x" />[i])</c>.
/// </para>
/// <para>
/// This method may call into the underlying C runtime or employ instructions specific to the current architecture. Exact results may differ between different
/// operating systems or architectures.
/// </para>
/// </remarks>
public static void Exp10M1<T>(ReadOnlySpan<T> x, Span<T> destination)
where T : IExponentialFunctions<T> =>
InvokeSpanIntoSpan<T, Exp10M1Operator<T>>(x, destination);
/// <summary>T.Exp10M1(x)</summary>
private readonly struct Exp10M1Operator<T> : IUnaryOperator<T, T>
where T : IExponentialFunctions<T>
{
public static bool Vectorizable => Exp2Operator<T>.Vectorizable;
public static T Invoke(T x) => T.Exp10M1(x);
public static Vector128<T> Invoke(Vector128<T> x) => Exp10Operator<T>.Invoke(x) - Vector128<T>.One;
public static Vector256<T> Invoke(Vector256<T> x) => Exp10Operator<T>.Invoke(x) - Vector256<T>.One;
public static Vector512<T> Invoke(Vector512<T> x) => Exp10Operator<T>.Invoke(x) - Vector512<T>.One;
}
}
}
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