NumCpp  2.14.0
A Templatized Header Only C++ Implementation of the Python NumPy Library
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Functions/cube.hpp
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1
28#pragma once
29
32#include "NumCpp/NdArray.hpp"
33#include "NumCpp/Utils/cube.hpp"
34
35namespace nc
36{
37 //============================================================================
38 // Method Description:
44 template<typename dtype>
45 constexpr dtype cube(dtype inValue) noexcept
46 {
48
49 return utils::cube(inValue);
50 }
51
52 //============================================================================
53 // Method Description:
59 template<typename dtype>
61 {
64 inArray.cend(),
65 returnArray.begin(),
66 [](dtype inValue) noexcept -> dtype { return cube(inValue); });
67
68 return returnArray;
69 }
70} // namespace nc
#define STATIC_ASSERT_ARITHMETIC_OR_COMPLEX(dtype)
Definition StaticAsserts.hpp:56
Holds 1D and 2D arrays, the main work horse of the NumCpp library.
Definition NdArrayCore.hpp:139
OutputIt transform(InputIt first, InputIt last, OutputIt destination, UnaryOperation unaryFunction)
Definition StlAlgorithms.hpp:775
constexpr dtype cube(dtype inValue) noexcept
Definition Utils/cube.hpp:42
Definition Cartesian.hpp:40
constexpr dtype cube(dtype inValue) noexcept
Definition Functions/cube.hpp:45
NdArray< dtype > arange(dtype inStart, dtype inStop, dtype inStep=1)
Definition arange.hpp:59