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random.hpp
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1
14 #pragma once
15
16 // Dependency:
17 #include "../vec2.hpp"
18 #include "../vec3.hpp"
19
20 #if GLM_MESSAGES == GLM_MESSAGES_ENABLED && !defined(GLM_EXT_INCLUDED)
21 # pragma message("GLM: GLM_GTC_random extension included")
22 #endif
23
24 namespace glm
25 {
28
35 template<typename genType>
36 GLM_FUNC_DECL genType linearRand(genType Min, genType Max);
37
45 template<length_t L, typename T, qualifier Q>
46 GLM_FUNC_DECL vec<L, T, Q> linearRand(vec<L, T, Q> const& Min, vec<L, T, Q> const& Max);
47
51 template<typename genType>
52 GLM_FUNC_DECL genType gaussRand(genType Mean, genType Deviation);
53
57 template<typename T>
58 GLM_FUNC_DECL vec<2, T, defaultp> circularRand(T Radius);
59
63 template<typename T>
64 GLM_FUNC_DECL vec<3, T, defaultp> sphericalRand(T Radius);
65
69 template<typename T>
70 GLM_FUNC_DECL vec<2, T, defaultp> diskRand(T Radius);
71
75 template<typename T>
76 GLM_FUNC_DECL vec<3, T, defaultp> ballRand(T Radius);
77
79 }//namespace glm
80
81 #include "random.inl"
glm::ballRand
GLM_FUNC_DECL vec< 3, T, defaultp > ballRand(T Radius)
Generate a random 3D vector which coordinates are regulary distributed within the volume of a ball of...
glm::circularRand
GLM_FUNC_DECL vec< 2, T, defaultp > circularRand(T Radius)
Generate a random 2D vector which coordinates are regulary distributed on a circle of a given radius...
glm
Definition: common.hpp:20
glm::gaussRand
GLM_FUNC_DECL genType gaussRand(genType Mean, genType Deviation)
Generate random numbers in the interval [Min, Max], according a gaussian distribution.
glm::sphericalRand
GLM_FUNC_DECL vec< 3, T, defaultp > sphericalRand(T Radius)
Generate a random 3D vector which coordinates are regulary distributed on a sphere of a given radius...
glm::diskRand
GLM_FUNC_DECL vec< 2, T, defaultp > diskRand(T Radius)
Generate a random 2D vector which coordinates are regulary distributed within the area of a disk of a...
glm::linearRand
GLM_FUNC_DECL vec< L, T, Q > linearRand(vec< L, T, Q > const &Min, vec< L, T, Q > const &Max)
Generate random numbers in the interval [Min, Max], according a linear distribution.