NumCpp  2.7.0
A Templatized Header Only C++ Implementation of the Python NumPy Library
Functions/cube.hpp
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1 #pragma once
29 
32 #include "NumCpp/NdArray.hpp"
33 #include "NumCpp/Utils/cube.hpp"
34 
35 namespace 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  {
62  NdArray<dtype> returnArray(inArray.shape());
63  stl_algorithms::transform(inArray.cbegin(), inArray.cend(), returnArray.begin(),
64  [](dtype inValue) noexcept -> dtype
65  {
66  return cube(inValue);
67  });
68 
69  return returnArray;
70  }
71 } // 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:1216
Shape shape() const noexcept
Definition: NdArrayCore.hpp:4283
const_iterator cend() const noexcept
Definition: NdArrayCore.hpp:1524
iterator begin() noexcept
Definition: NdArrayCore.hpp:1166
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:45