NumCpp  2.6.2
A Templatized Header Only C++ Implementation of the Python NumPy Library
Functions/cube.hpp
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1 
28 #pragma once
29 
32 #include "NumCpp/NdArray.hpp"
33 #include "NumCpp/Utils/cube.hpp"
34 
35 namespace nc
36 {
37  //============================================================================
38  // Method Description:
46  template<typename dtype>
47  constexpr dtype cube(dtype inValue) noexcept
48  {
50 
51  return utils::cube(inValue);
52  }
53 
54  //============================================================================
55  // Method Description:
63  template<typename dtype>
65  {
66  NdArray<dtype> returnArray(inArray.shape());
67  stl_algorithms::transform(inArray.cbegin(), inArray.cend(), returnArray.begin(),
68  [](dtype inValue) noexcept -> dtype
69  {
70  return cube(inValue);
71  });
72 
73  return returnArray;
74  }
75 } // namespace nc
#define STATIC_ASSERT_ARITHMETIC_OR_COMPLEX(dtype)
Definition: StaticAsserts.hpp:50
Holds 1D and 2D arrays, the main work horse of the NumCpp library.
Definition: NdArrayCore.hpp:72
const_iterator cbegin() const noexcept
Definition: NdArrayCore.hpp:1270
Shape shape() const noexcept
Definition: NdArrayCore.hpp:4483
const_iterator cend() const noexcept
Definition: NdArrayCore.hpp:1614
iterator begin() noexcept
Definition: NdArrayCore.hpp:1214
OutputIt transform(InputIt first, InputIt last, OutputIt destination, UnaryOperation unaryFunction)
Definition: StlAlgorithms.hpp:702
constexpr dtype cube(dtype inValue) noexcept
Definition: Utils/cube.hpp:44
Definition: Coordinate.hpp:45
constexpr dtype cube(dtype inValue) noexcept
Definition: Functions/cube.hpp:47