NumCpp  2.6.2
A Templatized Header Only C++ Implementation of the Python NumPy Library
exponential.hpp
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1 
28 #pragma once
29 
31 #include "NumCpp/Core/Shape.hpp"
32 #include "NumCpp/NdArray.hpp"
34 
35 #include <algorithm>
36 #include <random>
37 
38 namespace nc
39 {
40  namespace random
41  {
42  //============================================================================
43  // Method Description:
52  template<typename dtype>
53  dtype exponential(dtype inScaleValue = 1)
54  {
56 
57  std::exponential_distribution<dtype> dist(inScaleValue);
58  return dist(generator_);
59  }
60 
61  //============================================================================
62  // Method Description:
73  template<typename dtype>
74  NdArray<dtype> exponential(const Shape& inShape, dtype inScaleValue = 1)
75  {
77 
78  NdArray<dtype> returnArray(inShape);
79 
80  std::exponential_distribution<dtype> dist(inScaleValue);
81 
82  std::for_each(returnArray.begin(), returnArray.end(),
83  [&dist](dtype& value) -> void
84  {
85  value = dist(generator_);
86  });
87 
88  return returnArray;
89  }
90  } // namespace random
91 } // namespace nc
#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
iterator end() noexcept
Definition: NdArrayCore.hpp:1558
iterator begin() noexcept
Definition: NdArrayCore.hpp:1214
A Shape Class for NdArrays.
Definition: Core/Shape.hpp:41
dtype exponential(dtype inScaleValue=1)
Definition: exponential.hpp:53
static std::mt19937_64 generator_
generator function
Definition: generator.hpp:39
void for_each(InputIt first, InputIt last, UnaryFunction f)
Definition: StlAlgorithms.hpp:213
Definition: Coordinate.hpp:45