NumCpp  2.8.0
A Templatized Header Only C++ Implementation of the Python NumPy Library
polygamma.hpp
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1 #pragma once
29 
30 #ifndef NUMCPP_NO_USE_BOOST
31 
32 #include "boost/math/special_functions/polygamma.hpp"
33 
36 #include "NumCpp/NdArray.hpp"
37 
38 namespace nc
39 {
40  namespace special
41  {
42  //============================================================================
43  // Method Description:
52  template<typename dtype>
53  auto polygamma(uint32 n, dtype inValue)
54  {
56 
57  return boost::math::polygamma(n, inValue);
58  }
59 
60  //============================================================================
61  // Method Description:
70  template<typename dtype>
71  auto polygamma(uint32 n, const NdArray<dtype>& inArray)
72  {
73  NdArray<decltype(polygamma(n, dtype{ 0 }))> returnArray(inArray.shape());
74 
76  inArray.cbegin(),
77  inArray.cend(),
78  returnArray.begin(),
79  [n](dtype inValue) -> auto{ return polygamma(n, inValue); });
80 
81  return returnArray;
82  }
83  } // namespace special
84 } // namespace nc
85 
86 #endif // #ifndef NUMCPP_NO_USE_BOOST
#define STATIC_ASSERT_ARITHMETIC(dtype)
Definition: StaticAsserts.hpp:37
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:1221
Shape shape() const noexcept
Definition: NdArrayCore.hpp:4276
const_iterator cend() const noexcept
Definition: NdArrayCore.hpp:1529
iterator begin() noexcept
Definition: NdArrayCore.hpp:1171
auto polygamma(uint32 n, dtype inValue)
Definition: polygamma.hpp:53
auto polygamma(uint32 n, const NdArray< dtype > &inArray)
Definition: polygamma.hpp:71
OutputIt transform(InputIt first, InputIt last, OutputIt destination, UnaryOperation unaryFunction)
Definition: StlAlgorithms.hpp:784
Definition: Coordinate.hpp:45
std::uint32_t uint32
Definition: Types.hpp:40