Line data Source code
1 : !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
2 : !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
3 : !!!!
4 : !!!! MIT License
5 : !!!!
6 : !!!! ParaMonte: plain powerful parallel Monte Carlo library.
7 : !!!!
8 : !!!! Copyright (C) 2012-present, The Computational Data Science Lab
9 : !!!!
10 : !!!! This file is part of the ParaMonte library.
11 : !!!!
12 : !!!! Permission is hereby granted, free of charge, to any person obtaining a
13 : !!!! copy of this software and associated documentation files (the "Software"),
14 : !!!! to deal in the Software without restriction, including without limitation
15 : !!!! the rights to use, copy, modify, merge, publish, distribute, sublicense,
16 : !!!! and/or sell copies of the Software, and to permit persons to whom the
17 : !!!! Software is furnished to do so, subject to the following conditions:
18 : !!!!
19 : !!!! The above copyright notice and this permission notice shall be
20 : !!!! included in all copies or substantial portions of the Software.
21 : !!!!
22 : !!!! THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
23 : !!!! EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
24 : !!!! MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
25 : !!!! IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
26 : !!!! DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
27 : !!!! OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE
28 : !!!! OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
29 : !!!!
30 : !!!! ACKNOWLEDGMENT
31 : !!!!
32 : !!!! ParaMonte is an honor-ware and its currency is acknowledgment and citations.
33 : !!!! As per the ParaMonte library license agreement terms, if you use any parts of
34 : !!!! this library for any purposes, kindly acknowledge the use of ParaMonte in your
35 : !!!! work (education/research/industry/development/...) by citing the ParaMonte
36 : !!!! library as described on this page:
37 : !!!!
38 : !!!! https://github.com/cdslaborg/paramonte/blob/main/ACKNOWLEDGMENT.md
39 : !!!!
40 : !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
41 : !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
42 :
43 : !> \brief This module contains tests of the module [TranGaus_mod](@ref trangaus_mod).
44 : !> \author Amir Shahmoradi
45 :
46 : module Test_TranGaus_mod
47 :
48 : use TranGaus_mod
49 : use Err_mod, only: Err_type
50 : use Test_mod, only: Test_type
51 : implicit none
52 :
53 : private
54 : public :: test_TranGaus
55 :
56 : type(Test_type) :: Test
57 :
58 : !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
59 :
60 : contains
61 :
62 : !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
63 :
64 3 : subroutine test_TranGaus()
65 :
66 : implicit none
67 :
68 3 : Test = Test_type(moduleName=MODULE_NAME)
69 3 : call Test%run(test_getTranGaus_1, "test_getTranGaus_1")
70 3 : call Test%finalize()
71 :
72 3 : end subroutine test_TranGaus
73 :
74 : !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
75 :
76 3 : function test_getTranGaus_1() result(assertion)
77 :
78 3 : use Constants_mod, only: RK, IK ! , NEGINF_RK, POSINF_RK
79 : use String_mod, only: num2str
80 :
81 : implicit none
82 : logical :: assertion
83 : integer(IK), parameter :: NSIM = 5000_IK
84 : real(RK), parameter :: avg = 2._RK
85 : real(RK), parameter :: std = 3._RK
86 : integer(IK) :: isim, fileUnit1, fileUnit2, fileUnit3, fileUnit4, fileUnit5
87 :
88 3 : assertion = .true.
89 :
90 3 : open(newunit=fileUnit1, file=Test%outDir//"/Test_TranGaus_mod@test_getTranGaus_Low1Upp9Avg2Std3."//num2str(Test%Image%id)//".temp", status="replace")
91 3 : open(newunit=fileUnit2, file=Test%outDir//"/Test_TranGaus_mod@test_getTranGaus_Low20Upp30Avg2Std3."//num2str(Test%Image%id)//".temp", status="replace")
92 3 : open(newunit=fileUnit3, file=Test%outDir//"/Test_TranGaus_mod@test_getTranGaus_Low-15Upp4Avg2Std3."//num2str(Test%Image%id)//".temp", status="replace")
93 3 : open(newunit=fileUnit4, file=Test%outDir//"/Test_TranGaus_mod@test_getTranGaus_Low50Upp55Avg2Std3."//num2str(Test%Image%id)//".temp", status="replace")
94 3 : open(newunit=fileUnit5, file=Test%outDir//"/Test_TranGaus_mod@test_getTranGaus_Low-50Upp55Avg2Std3."//num2str(Test%Image%id)//".temp", status="replace") ! test `lowerLim < xmin`
95 3 : write(fileUnit1,*) "TranGaus"
96 3 : write(fileUnit2,*) "TranGaus"
97 3 : write(fileUnit3,*) "TranGaus"
98 3 : write(fileUnit4,*) "TranGaus"
99 :
100 : ! Random variable generation
101 :
102 15003 : do isim = 1, NSIM
103 15000 : write(fileUnit1,*) getTranGaus(lowerLim=1._RK,upperLim=9._RK,avg=avg,std=std)
104 15000 : write(fileUnit2,*) getTranGaus(lowerLim=20._RK,upperLim=30._RK,avg=avg,std=std)
105 15000 : write(fileUnit3,*) getTranGaus(lowerLim=-15._RK,upperLim=4._RK,avg=avg,std=std)
106 15000 : write(fileUnit4,*) getTranGaus(lowerLim=50._RK,upperLim=55._RK,avg=avg,std=std)
107 15000 : write(fileUnit5,*) getTranGaus(lowerLim=-50._RK,upperLim=55._RK,avg=avg,std=std)
108 15000 : write(fileUnit5,*) getTranGaus(lowerLim=0._RK,upperLim=500._RK,avg=avg,std=std)
109 15000 : write(fileUnit5,*) getTranGaus(lowerLim=-5.e2_RK,upperLim=5.e2_RK,avg=avg,std=std)
110 15000 : write(fileUnit5,*) getTranGaus(lowerLim=-5.e2_RK,upperLim=0._RK,avg=avg,std=std)
111 15000 : write(fileUnit5,*) getTranGaus(lowerLim=100._RK,upperLim=100.1_RK,avg=avg,std=std)
112 15000 : write(fileUnit5,*) getTranGaus(lowerLim=9999.8_RK,upperLim=9999.9_RK,avg=avg,std=std)
113 15000 : write(fileUnit5,*) getTranGaus(lowerLim=-9999.9_RK,upperLim=-9999.8_RK,avg=avg,std=std)
114 15000 : write(fileUnit5,*) getTranGaus(lowerLim=-.001_RK,upperLim=.001_RK,avg=avg,std=std)
115 15000 : write(fileUnit5,*) getTranGaus(lowerLim=9999.8_RK,upperLim=9999.9_RK,avg=-avg,std=std)
116 15000 : write(fileUnit5,*) getTranGaus(lowerLim=-9999.9_RK,upperLim=-9999.8_RK,avg=-avg,std=std)
117 15003 : write(fileUnit5,*) getTranGaus(lowerLim=-.001_RK,upperLim=.001_RK,avg=-avg,std=std)
118 : end do
119 3 : close(fileUnit1)
120 3 : close(fileUnit2)
121 3 : close(fileUnit3)
122 3 : close(fileUnit4)
123 3 : close(fileUnit5)
124 :
125 : ! ideally, as a test, one could compute the PDF of the Gaussian and compare it to the histogram of the generated points.
126 : ! This is not an easy task. For now, we rust the giants.
127 :
128 3 : end function test_getTranGaus_1
129 :
130 : !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
131 :
132 : end module Test_TranGaus_mod ! LCOV_EXCL_LINE
|