CDPP / AMDA_Kernel

Commit 7a41b54fce6faba6c1b1700b19f540aaca3102e3

Authored by Hacene SI HADJ MOHAND
2 parents bd0b2016 bee4e403
Exists in master and in 85 other branches 10038, 10098, 5390, 5770, 6728, 7616, 7811, 7875, 8034_7628, 8038, 8041, 8045_8044, 8295, 8459, 8528, 8928, 9016, 9016Bis, 9017, 9017-new, 9049, 9084, 9259, 9326, 9347, 9383, 9719, 9719.new, AllLegends, CDF_ISTP, CDF_ISTP_HOPEFULLY_ALL_WORKING, FER_10400, FER_10412, FER_10663, FER_10765, FER_11000, FER_11100, FER_11242, FER_11277, FER_11500, FER_11537, FER_11588, FER_11651, FER_19836, FER_5344, FER_6031, FER_6598, FER_6966, FER_7318, FER_7618, FER_7857, FER_8455, FER_9629, FER_CR41, FER_CR42, FER_CR43, FER_TFCat, Histo1D2D, JUNO_JEDI, MAZ_10936, MAZ_6018, MAZ_9016_New, MAZ_FIX_9016, SpeasyGet, amdadev, amdadev_test, cu2022, das2, density_maps, develop, evol_9042, expression-parser-bre, feature/9259, frames-transformation, pickle, rm_6015, rm_6616, rm_6912, rm_7926, rm_8050, rm_8932, shue, shue97, test-merge, ubuntu

Merge branch 'rm_7528'

Showing 9 changed files with 1121 additions and 1276 deletions   Show diff stats
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CMakeLists.txt
  Diff comments   View file @7a41b54
... ... @@ -127,7 +127,7 @@ add_subdirectory(src/XMLRequest)
127 127 add_subdirectory(src/SpiceKernel)
128 128 add_subdirectory(src/amdaXMLRequestorTool)
129 129 add_subdirectory(src/amdaParameterGenerator)
130   -#add_subdirectory(src/expressionParser)
  130 +add_subdirectory(src/expressionParser)
131 131 add_subdirectory(src/amdaParameterInfo)
132 132 add_subdirectory(src/amdaGetErrorMsg)
133 133 add_subdirectory(src/PostProcessing)
... ... @@ -144,7 +144,6 @@ add_subdirectory(src/ParamGetImpl/LocalFileInterface)
144 144 add_subdirectory(src/ParamGetImpl/ConstantInterface)
145 145 add_subdirectory(src/InternLib)
146 146 add_subdirectory(src/ExternLib/Deriv)
147   -add_subdirectory(src/ExternLib/Magnitude)
148 147 add_subdirectory(src/ExternLib/Morschhauser)
149 148 add_subdirectory(src/ExternLib/Ram_Presure)
150 149 add_subdirectory(src/ExternLib/TimeShifted)
... ...
src/ExternLib/Magnitude/CMakeLists.txt deleted
View file @bd0b201
... ... @@ -1,23 +0,0 @@
1   -
2   -PROJECT(Magnitude)
3   -
4   -set(LIBRARY_OUTPUT_PATH ${PLUGIN_OUTPUT_PATH}/magnitude)
5   -
6   -include_directories(
7   -)
8   -
9   -#Library configuration
10   -file(
11   - GLOB_RECURSE
12   - source_files
13   - ./*
14   -)
15   -
16   -ADD_LIBRARY( Magnitude SHARED ${source_files} )
17   -
18   -target_link_libraries(
19   - Magnitude
20   -)
21   -
22   -FILE( GLOB_RECURSE PROJ_HEADERS *.hh )
23   -INSTALL(FILES ${PROJ_HEADERS} DESTINATION ${LIBRARY_OUTPUT_PATH} PERMISSIONS OWNER_READ GROUP_READ WORLD_READ)
src/ExternLib/Magnitude/magnitude.cc deleted
View file @bd0b201
... ... @@ -1,35 +0,0 @@
1   -/**
2   - * Magnitude.cc
3   - *
4   - * Created on: 31 oct. 2012
5   - * Author: AKKA IS
6   - */
7   -
8   -#include "magnitude.hh"
9   -
10   -#include <math.h>
11   -
12   -float magnitude(const std::vector<float>& vec)
13   -{
14   - return sqrtf(vec[0] * vec[0] + vec[1] * vec[1] + vec[2] * vec[2]);
15   -}
16   -
17   -double magnitude(const std::vector<double>& vec)
18   -{
19   - return sqrt(vec[0] * vec[0] + vec[1] * vec[1] + vec[2] * vec[2]);
20   -}
21   -
22   -long double magnitude(const std::vector<long double>& vec)
23   -{
24   - return sqrtl(vec[0] * vec[0] + vec[1] * vec[1] + vec[2] * vec[2]);
25   -}
26   -
27   -int magnitude(const std::vector<int>& vec)
28   -{
29   - return sqrt(vec[0] * vec[0] + vec[1] * vec[1] + vec[2] * vec[2]);
30   -}
31   -
32   -short magnitude(const std::vector<short>& vec)
33   -{
34   - return sqrt(vec[0] * vec[0] + vec[1] * vec[1] + vec[2] * vec[2]);
35   -}
src/ExternLib/Magnitude/magnitude.hh deleted
View file @bd0b201
... ... @@ -1,23 +0,0 @@
1   -/**
2   - * Magnitude.hh
3   - *
4   - * Created on: 31 oct. 2012
5   - * Author: AKKA IS
6   - */
7   -
8   -#ifndef MAGNITUDE_HH_
9   -#define MAGNITUDE_HH_
10   -
11   -#include <vector>
12   -
13   -/**
14   - * @bried Compute the magnitude of el
15   - * @return sqrtf(vec[0] * vec[0] + vec[1] * vec[1] + vec[2] * vec[2]);
16   - */
17   -float magnitude(const std::vector<float>& el);
18   -
19   -double magnitude(const std::vector<double>& vec);
20   -
21   -int magnitude(const std::vector<int>& vec);
22   -
23   -#endif /* MAGNITUDE_HH_ */
src/ExternLib/Morschhauser/Morschhauser.hh
  Diff comments   View file @7a41b54
... ... @@ -89,7 +89,7 @@ public:
89 89  
90 90 protected:
91 91  
92   - virtual void pushResult(std::vector<DataType> field, DataType magnitude) = 0;
  92 + virtual void pushResult(std::vector<DataType> field, DataType magnitude_) = 0;
93 93  
94 94 /**
95 95 * @brief Input paramter data.
... ... @@ -429,7 +429,7 @@ public:
429 429 }
430 430  
431 431 protected:
432   - virtual void pushResult(std::vector<DataType> field, DataType /*magnitude*/) {
  432 + virtual void pushResult(std::vector<DataType> field, DataType /*magnitude_*/) {
433 433 MorschhauserCommon<DataType, ParamDataSpec<std::vector<DataType> >>::_paramOutput->getDataList().push_back(field);
434 434 }
435 435 };
... ... @@ -453,11 +453,11 @@ public:
453 453 }
454 454  
455 455 protected:
456   - virtual void pushResult(std::vector<DataType> /*field*/, DataType magnitude) {
457   - MorschhauserCommon<DataType, ParamDataSpec<DataType>>::_paramOutput->getDataList().push_back(magnitude);
  456 + virtual void pushResult(std::vector<DataType> /*field*/, DataType magnitude_) {
  457 + MorschhauserCommon<DataType, ParamDataSpec<DataType>>::_paramOutput->getDataList().push_back(magnitude_);
458 458 }
459 459 };
460 460  
461 461 } /* namespace Parameters */
462 462 } /* namespace AMDA */
463   -#endif /* MORSCHHAUSER_HH_ */
  463 +#endif /* MORSCHHAUSER_HH_ *//
... ...
src/Parameters/DataTypeMath.hh
  Diff comments   View file @7a41b54
... ... @@ -13,343 +13,343 @@
13 13 #include <cmath>
14 14 #include "ParamData.hh"
15 15  
16   - inline AMDA::Parameters::LogicalData castToLogicalData(int a) {
17   - if (isNAN(a)) {
18   - return AMDA::Parameters::LogicalData::NaN;
19   - }
20   - return (a >= 1) ? AMDA::Parameters::LogicalData::True : AMDA::Parameters::LogicalData::False;
21   - }
22 16  
23   - inline AMDA::Parameters::LogicalData castToLogicalData(AMDA::Parameters::LogicalData a) {
24   - return a;
25   - }
  17 +inline AMDA::Parameters::LogicalData castToLogicalData(int a) {
  18 + if (isNAN(a)) {
  19 + return AMDA::Parameters::LogicalData::NaN;
  20 + }
  21 + return (a >= 1) ? AMDA::Parameters::LogicalData::True : AMDA::Parameters::LogicalData::False;
  22 +}
  23 +
  24 +inline AMDA::Parameters::LogicalData castToLogicalData(AMDA::Parameters::LogicalData a) {
  25 + return a;
  26 +}
26 27  
27 28 /**
28 29 * @brief Operator And (&&) between LogicalData
29 30 */
30   - template<typename Type1 , typename Type2>
31   - inline AMDA::Parameters::LogicalData And(Type1 a, Type2 b) {
32   - AMDA::Parameters::LogicalData aa = castToLogicalData(a);
33   - AMDA::Parameters::LogicalData bb = castToLogicalData(b);
34   - AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::NaN;
35   -
36   - if ( aa != AMDA::Parameters::LogicalData::NaN && bb != AMDA::Parameters::LogicalData::NaN) {
37   - res = ((aa==AMDA::Parameters::LogicalData::True) && (bb==AMDA::Parameters::LogicalData::True))?AMDA::Parameters::LogicalData::True:AMDA::Parameters::LogicalData::False;
38   - }
39   -
40   - return res;
41   - }
42   -
43   - /**
44   - * @brief Operator Or (||) between LogicalData
45   - */
46   - template<typename Type1 , typename Type2>
47   - inline AMDA::Parameters::LogicalData Or(Type1 a, Type2 b) {
48   - AMDA::Parameters::LogicalData aa = castToLogicalData(a);
49   - AMDA::Parameters::LogicalData bb = castToLogicalData(b);
50   - AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::NaN;
51   -
52   - if ( aa != AMDA::Parameters::LogicalData::NaN && bb != AMDA::Parameters::LogicalData::NaN) {
53   - res = (( aa == AMDA::Parameters::LogicalData::True) || (bb == AMDA::Parameters::LogicalData::True))?AMDA::Parameters::LogicalData::True:AMDA::Parameters::LogicalData::False;
54   - }
55   -
56   - return res;
57   - }
58   -
59   -
60   -
61   - /**
62   - * @brief Operator greater_than (>) between LogicalData
63   - */
64   - template <typename Type1, typename Type2>
65   - AMDA::Parameters::LogicalData greater_than(Type1 a, Type2 b) {
66   - AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::True;
67   - if ( std::isfinite(a) && std::isfinite(b)) {
68   - res = (a>b)?AMDA::Parameters::LogicalData::True:AMDA::Parameters::LogicalData::False;
69   - } else {
70   - res = AMDA::Parameters::LogicalData::NaN;
71   - }
72   - return res;
73   - }
74   -
75   -
76   - /**
77   - * @brief Operator greater_than (>) between table of LogicalData
78   - */
79   - template<typename Type1, typename Type2>
80   - std::vector<AMDA::Parameters::LogicalData> greater_than(std::vector<Type1> a,
81   - std::vector<Type2> b) {
82   - std::vector<AMDA::Parameters::LogicalData> r;
83   - if (a.size() != b.size()) {
84   - BOOST_THROW_EXCEPTION(
85   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Logical comparison between two vector of different size"));
86   - }
87   -
88   - for (unsigned int i = 0; i < a.size(); ++i) {
89   - r.push_back(greater_than(a[i], b[i]));
90   - }
91   - return r;
92   - }
93   -
94   - /**
95   - * @brief Operator lower_than (<) between table of LogicalData
96   - */
97   - template <typename Type1, typename Type2>
98   - AMDA::Parameters::LogicalData lower_than(Type1 a, Type2 b) {
99   - AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::True;
100   - if ( std::isfinite(a) && std::isfinite(b)) {
101   - res = (a<b)?AMDA::Parameters::LogicalData::True:AMDA::Parameters::LogicalData::False;
102   - } else {
103   - res = AMDA::Parameters::LogicalData::NaN;
104   - }
105   - return res;
106   - }
107   -
108   - /**
109   - * @brief Operator lower_than (<) between table of LogicalData
110   - */
111   - template<typename Type1, typename Type2>
112   - std::vector<AMDA::Parameters::LogicalData> lower_than(std::vector<Type1> a,
113   - std::vector<Type2> b) {
114   - std::vector<AMDA::Parameters::LogicalData> r;
115   - if (a.size() != b.size()) {
116   - BOOST_THROW_EXCEPTION(
117   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Logical comparison between two vector of different size"));
118   - }
119   -
120   - for (unsigned int i = 0; i < a.size(); ++i) {
121   - r.push_back(lower_than(a[i], b[i]));
122   - }
123   - return r;
124   - }
125   -
126   -
127   -
128   - /**
129   - * @brief Operator * between two scalars, one is LogicalData
130   - */
131   - template <typename Type>
132   - Type operator *(Type a, AMDA::Parameters::LogicalData b)
133   - {
134   - Type r;
135   - r << NotANumber();
136   - if (isNAN(a) || isNAN(b)) {
137   - return r;
138   - }
139   - r = a * (Type)b;
140   - return r;
141   - }
142   -
143   - template <typename Type>
144   - Type operator *(AMDA::Parameters::LogicalData a, Type b)
145   - {
146   - return b * a;
147   - }
148   -
149   - /**
150   - * @brief Operator / between two scalars, one is LogicalData
151   - */
152   - template <typename Type>
153   - Type operator /(Type a, AMDA::Parameters::LogicalData b)
154   - {
155   - Type r;
156   - r << NotANumber();
157   - if (isNAN(a) || isNAN(b) || (b == AMDA::Parameters::LogicalData::False)) {
158   - return r;
159   - }
160   - r = a / (Type)b;
161   - return r;
162   - }
163   -
164   - template <typename Type>
165   - Type operator /(AMDA::Parameters::LogicalData a, Type b)
166   - {
167   - Type r;
168   - r << NotANumber();
169   - if (isNAN(a) || isNAN(b) || (b == 0)) {
170   - return r;
171   - }
172   - r = (Type)a / b;
173   - return r;
174   - }
175   -
176   - /**
177   - * @brief Operator + between two scalars, one is LogicalData
178   - */
179   - template <typename Type>
180   - Type operator +(Type a, AMDA::Parameters::LogicalData b)
181   - {
182   - Type r;
183   - r << NotANumber();
184   - if (isNAN(a) || isNAN(b)) {
185   - return r;
186   - }
187   - r = a + (Type)b;
188   - return r;
189   - }
  31 +template<typename Type1, typename Type2>
  32 +inline AMDA::Parameters::LogicalData And(Type1 a, Type2 b) {
  33 + AMDA::Parameters::LogicalData aa = castToLogicalData(a);
  34 + AMDA::Parameters::LogicalData bb = castToLogicalData(b);
  35 + AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::NaN;
190 36  
191   - template <typename Type>
192   - Type operator +(AMDA::Parameters::LogicalData a, Type b)
193   - {
194   - return b + a;
195   - }
  37 + if (aa != AMDA::Parameters::LogicalData::NaN && bb != AMDA::Parameters::LogicalData::NaN) {
  38 + res = ((aa == AMDA::Parameters::LogicalData::True) && (bb == AMDA::Parameters::LogicalData::True)) ? AMDA::Parameters::LogicalData::True : AMDA::Parameters::LogicalData::False;
  39 + }
196 40  
197   - /**
198   - * @brief Operator - between two scalars, one is LogicalData
199   - */
200   - template <typename Type>
201   - Type operator -(Type a, AMDA::Parameters::LogicalData b)
202   - {
203   - Type r;
204   - r << NotANumber();
205   - if (isNAN(a) || isNAN(b)) {
206   - return r;
207   - }
208   - r = a - (Type)b;
209   - return r;
210   - }
  41 + return res;
  42 +}
211 43  
212   - template <typename Type>
213   - Type operator -(AMDA::Parameters::LogicalData a, Type b)
214   - {
215   - Type r;
216   - r << NotANumber();
217   - if (isNAN(a) || isNAN(b)) {
218   - return r;
219   - }
220   - r = (Type)a - b;
221   - return r;
222   - }
223   -
224   -
225   - /**
226   - * @brief Operator addition between two vector
227   - * @details
228   - * r[0] = a[0] + b[0]
229   - * r[1] = a[1] + b[1]
230   - * r[2] = a[2] + b[2]
231   - * @return r
232   - */
233   - template <typename Type1, typename Type2>
234   - std::vector<Type1> operator +(std::vector<Type1> a, std::vector<Type2> b) {
235   - std::vector<Type1> r;
236   - if(a.size() != b.size()) {
237   - BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Add two vector of different size"));
238   - }
239   -
240   - for(unsigned int i = 0; i < a.size(); ++i) {
241   - r.push_back((Type1)(a[i] + b[i]));
242   - }
243   - return r;
244   - }
245   -
246   -
247   - /**
248   - * @brief Operator subtraction between two vector
249   - * @details
250   - * r[0] = a[0] - b[0]
251   - * r[1] = a[1] - b[1]
252   - * r[2] = a[2] - b[2]
253   - * @return r
254   - */
255   - template <typename Type1, typename Type2>
256   - std::vector<Type1> operator -(std::vector<Type1> a, std::vector<Type2> b) {
257   - std::vector<Type1> r;
258   - if(a.size() != b.size()) {
259   - BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Subtract two vector of different size"));
260   - }
261   -
262   - for(unsigned int i = 0; i < a.size(); ++i) {
263   - r.push_back(a[i] - b[i]);
264   - }
265   - return r;
266   - }
267   -
268   -
269   -
270   - /**
271   - * @brief Operator dot product between two vector
272   - * @details
273   - * r = a[0]*b[0] + a[1]*b[1] + a[2]+b[2]
274   - * @return the scalar r
275   - */
276   - template <typename Type1, typename Type2>
277   - Type1 operator *(std::vector<Type1> a, std::vector<Type2> b) {
278   - Type1 r = 0;
279   - if(a.size() != b.size()) {
280   - BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Multiply two vector of different size"));
281   - }
282   -
283   - for(unsigned int i = 0; i < a.size(); ++i) {
284   - r += a[i]*b[i];
285   - }
286   - return r;
287   - }
288   -
289   - /**
290   - * @brief Function dot between two vectors can be used for dot product
291   - */
292   - template <typename Type1, typename Type2>
293   - Type1 dot(std::vector<Type1> a, std::vector<Type2> b) {
294   - return a*b;
295   - }
  44 +/**
  45 + * @brief Operator Or (||) between LogicalData
  46 + */
  47 +template<typename Type1, typename Type2>
  48 +inline AMDA::Parameters::LogicalData Or(Type1 a, Type2 b) {
  49 + AMDA::Parameters::LogicalData aa = castToLogicalData(a);
  50 + AMDA::Parameters::LogicalData bb = castToLogicalData(b);
  51 + AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::NaN;
  52 +
  53 + if (aa != AMDA::Parameters::LogicalData::NaN && bb != AMDA::Parameters::LogicalData::NaN) {
  54 + res = ((aa == AMDA::Parameters::LogicalData::True) || (bb == AMDA::Parameters::LogicalData::True)) ? AMDA::Parameters::LogicalData::True : AMDA::Parameters::LogicalData::False;
  55 + }
  56 +
  57 + return res;
  58 +}
  59 +
  60 +/**
  61 + * @brief Operator greater_than (>) between LogicalData
  62 + */
  63 +template <typename Type1, typename Type2>
  64 +AMDA::Parameters::LogicalData greater_than(Type1 a, Type2 b) {
  65 + AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::True;
  66 + if (std::isfinite(a) && std::isfinite(b)) {
  67 + res = (a > b) ? AMDA::Parameters::LogicalData::True : AMDA::Parameters::LogicalData::False;
  68 + } else {
  69 + res = AMDA::Parameters::LogicalData::NaN;
  70 + }
  71 + return res;
  72 +}
  73 +
  74 +/**
  75 + * @brief Operator greater_than (>) between table of LogicalData
  76 + */
  77 +template<typename Type1, typename Type2>
  78 +std::vector<AMDA::Parameters::LogicalData> greater_than(std::vector<Type1> a,
  79 + std::vector<Type2> b) {
  80 + std::vector<AMDA::Parameters::LogicalData> r;
  81 + if (a.size() != b.size()) {
  82 + BOOST_THROW_EXCEPTION(
  83 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Logical comparison between two vector of different size"));
  84 + }
  85 +
  86 + for (unsigned int i = 0; i < a.size(); ++i) {
  87 + r.push_back(greater_than(a[i], b[i]));
  88 + }
  89 + return r;
  90 +}
  91 +
  92 +/**
  93 + * @brief Operator lower_than (<) between table of LogicalData
  94 + */
  95 +template <typename Type1, typename Type2>
  96 +AMDA::Parameters::LogicalData lower_than(Type1 a, Type2 b) {
  97 + AMDA::Parameters::LogicalData res = AMDA::Parameters::LogicalData::True;
  98 + if (std::isfinite(a) && std::isfinite(b)) {
  99 + res = (a < b) ? AMDA::Parameters::LogicalData::True : AMDA::Parameters::LogicalData::False;
  100 + } else {
  101 + res = AMDA::Parameters::LogicalData::NaN;
  102 + }
  103 + return res;
  104 +}
  105 +
  106 +/**
  107 + * @brief Operator lower_than (<) between table of LogicalData
  108 + */
  109 +template<typename Type1, typename Type2>
  110 +std::vector<AMDA::Parameters::LogicalData> lower_than(std::vector<Type1> a,
  111 + std::vector<Type2> b) {
  112 + std::vector<AMDA::Parameters::LogicalData> r;
  113 + if (a.size() != b.size()) {
  114 + BOOST_THROW_EXCEPTION(
  115 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Logical comparison between two vector of different size"));
  116 + }
  117 +
  118 + for (unsigned int i = 0; i < a.size(); ++i) {
  119 + r.push_back(lower_than(a[i], b[i]));
  120 + }
  121 + return r;
  122 +}
  123 +
  124 +/**
  125 + * @brief Operator * between two scalars, one is LogicalData
  126 + */
  127 +template <typename Type>
  128 +Type operator*(Type a, AMDA::Parameters::LogicalData b) {
  129 + Type r;
  130 + r << NotANumber();
  131 + if (isNAN(a) || isNAN(b)) {
  132 + return r;
  133 + }
  134 + r = a * (Type) b;
  135 + return r;
  136 +}
  137 +
  138 +template <typename Type>
  139 +Type operator*(AMDA::Parameters::LogicalData a, Type b) {
  140 + return b * a;
  141 +}
  142 +
  143 +/**
  144 + * @brief Operator / between two scalars, one is LogicalData
  145 + */
  146 +template <typename Type>
  147 +Type operator/(Type a, AMDA::Parameters::LogicalData b) {
  148 + Type r;
  149 + r << NotANumber();
  150 + if (isNAN(a) || isNAN(b) || (b == AMDA::Parameters::LogicalData::False)) {
  151 + return r;
  152 + }
  153 + r = a / (Type) b;
  154 + return r;
  155 +}
  156 +
  157 +template <typename Type>
  158 +Type operator/(AMDA::Parameters::LogicalData a, Type b) {
  159 + Type r;
  160 + r << NotANumber();
  161 + if (isNAN(a) || isNAN(b) || (b == 0)) {
  162 + return r;
  163 + }
  164 + r = (Type) a / b;
  165 + return r;
  166 +}
  167 +
  168 +/**
  169 + * @brief Operator + between two scalars, one is LogicalData
  170 + */
  171 +template <typename Type>
  172 +Type operator+(Type a, AMDA::Parameters::LogicalData b) {
  173 + Type r;
  174 + r << NotANumber();
  175 + if (isNAN(a) || isNAN(b)) {
  176 + return r;
  177 + }
  178 + r = a + (Type) b;
  179 + return r;
  180 +}
  181 +
  182 +template <typename Type>
  183 +Type operator+(AMDA::Parameters::LogicalData a, Type b) {
  184 + return b + a;
  185 +}
  186 +
  187 +/**
  188 + * @brief Operator - between two scalars, one is LogicalData
  189 + */
  190 +template <typename Type>
  191 +Type operator-(Type a, AMDA::Parameters::LogicalData b) {
  192 + Type r;
  193 + r << NotANumber();
  194 + if (isNAN(a) || isNAN(b)) {
  195 + return r;
  196 + }
  197 + r = a - (Type) b;
  198 + return r;
  199 +}
  200 +
  201 +template <typename Type>
  202 +Type operator-(AMDA::Parameters::LogicalData a, Type b) {
  203 + Type r;
  204 + r << NotANumber();
  205 + if (isNAN(a) || isNAN(b)) {
  206 + return r;
  207 + }
  208 + r = (Type) a - b;
  209 + return r;
  210 +}
  211 +
  212 +/**
  213 + * @brief Operator addition between two vector
  214 + * @details
  215 + * r[0] = a[0] + b[0]
  216 + * r[1] = a[1] + b[1]
  217 + * r[2] = a[2] + b[2]
  218 + * @return r
  219 + */
  220 +template <typename Type1, typename Type2>
  221 +std::vector<Type1> operator+(std::vector<Type1> a, std::vector<Type2> b) {
  222 + std::vector<Type1> r;
  223 + if (a.size() != b.size()) {
  224 + BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Add two vector of different size"));
  225 + }
  226 +
  227 + for (unsigned int i = 0; i < a.size(); ++i) {
  228 + r.push_back((Type1) (a[i] + b[i]));
  229 + }
  230 + return r;
  231 +}
  232 +
  233 +/**
  234 + * @brief Operator subtraction between two vector
  235 + * @details
  236 + * r[0] = a[0] - b[0]
  237 + * r[1] = a[1] - b[1]
  238 + * r[2] = a[2] - b[2]
  239 + * @return r
  240 + */
  241 +template <typename Type1, typename Type2>
  242 +std::vector<Type1> operator-(std::vector<Type1> a, std::vector<Type2> b) {
  243 + std::vector<Type1> r;
  244 + if (a.size() != b.size()) {
  245 + BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Subtract two vector of different size"));
  246 + }
  247 +
  248 + for (unsigned int i = 0; i < a.size(); ++i) {
  249 + r.push_back(a[i] - b[i]);
  250 + }
  251 + return r;
  252 +}
296 253  
297   - /**
298   - * @brief Operator cross product between two vector
299   - * @details
300   - * r[0] = a[1]*b[2] - a[2]*b[1]
301   - * r[1] = a[2]*b[0] - a[0]*b[2]
302   - * r[2] = a[0]*b[1] - a[1]*b[0]
303   - * @return r
304   - */
305   - template <typename Type1, typename Type2>
306   - std::vector<Type1> operator ^(std::vector<Type1> a, std::vector<Type2> b) {
307   - std::vector<Type1> r;
308   - if(a.size() != b.size() || b.size() != 3) {
309   - BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Vector product on two vector of different size"));
310   - }
311   -
312   - r.push_back(a[1]*b[2] - a[2]*b[1]);
313   - r.push_back(a[2]*b[0] - a[0]*b[2]);
314   - r.push_back(a[0]*b[1] - a[1]*b[0]);
315   -
316   - return r;
317   - }
318   -
319   - /**
320   - * @brief Function cross between two vectors can be used for cross product
321   - */
322   - template <typename Type1, typename Type2>
323   - std::vector<Type1> cross(std::vector<Type1> a, std::vector<Type2> b) {
324   - return a^b;
325   - }
326   -
327   - /**
328   - * @brief div each coordinate one to one
329   - * @details
330   - * r[0] = a[0] / b[0]
331   - * r[1] = a[1] / b[1]
332   - * r[2] = a[2] / b[2]
333   - */
334   - template <typename Type1, typename Type2>
335   - std::vector<Type1> div(std::vector<Type1> a, std::vector<Type2> b) {
336   - std::vector<Type1> r;
337   - if(a.size() != b.size()) {
338   - BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Vector div on two vector of different size"));
339   -
340   - }
341   -
342   - for(unsigned int i = 0; i < a.size(); ++i) {
343   - r.push_back( a[i]/b[i]);
344   - }
345   -
346   - return r;
347   - }
348   -
349   - //
350   - //Idea but more complex: template <typename Type1, typename Type2>
351   - //auto operator ^(std::vector<Type1> a, std::vector<Type2> b) -> std::vector<decltype(Type1()*Type2())> {
352   - // std::vector<decltype(Type1()*Type2())> r;
  254 +/**
  255 + * @brief Operator dot product between two vector
  256 + * @details
  257 + * r = a[0]*b[0] + a[1]*b[1] + a[2]+b[2]
  258 + * @return the scalar r
  259 + */
  260 +template <typename Type1, typename Type2>
  261 +Type1 operator*(std::vector<Type1> a, std::vector<Type2> b) {
  262 + Type1 r = 0;
  263 + if (a.size() != b.size()) {
  264 + BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Multiply two vector of different size"));
  265 + }
  266 +
  267 + for (unsigned int i = 0; i < a.size(); ++i) {
  268 + r += a[i] * b[i];
  269 + }
  270 + return r;
  271 +}
  272 +
  273 +/**
  274 + * @brief Function dot between two vectors can be used for dot product
  275 + */
  276 +template <typename Type1, typename Type2>
  277 +Type1 dot(std::vector<Type1> a, std::vector<Type2> b) {
  278 + return a*b;
  279 +}
  280 +
  281 +template <typename Type>
  282 +Type magnitude(std::vector<Type> a) {
  283 + Type mag = 0;
  284 + for (unsigned int i = 0; i < a.size(); ++i)
  285 + mag += a[i]*a[i];
  286 + return std::sqrt(mag);
  287 +}
  288 +
  289 +template <typename Type1, typename Type2>
  290 +Type1 angle(std::vector<Type1> a, std::vector<Type2> b) {
  291 + if(magnitude(a) ==0 || magnitude(b) == 0){
  292 + BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("One of the two vectors is NULL"));
  293 + }
  294 + return std::acos(dot(a,b)/magnitude(a)/magnitude(b));
  295 +}
  296 +
  297 +/**
  298 + * @brief Operator cross product between two vector
  299 + * @details
  300 + * r[0] = a[1]*b[2] - a[2]*b[1]
  301 + * r[1] = a[2]*b[0] - a[0]*b[2]
  302 + * r[2] = a[0]*b[1] - a[1]*b[0]
  303 + * @return r
  304 + */
  305 +template <typename Type1, typename Type2>
  306 +std::vector<Type1> operator ^(std::vector<Type1> a, std::vector<Type2> b) {
  307 + std::vector<Type1> r;
  308 + if (a.size() != b.size() || b.size() != 3) {
  309 + BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Vector product on two vector of different size"));
  310 + }
  311 +
  312 + r.push_back(a[1] * b[2] - a[2] * b[1]);
  313 + r.push_back(a[2] * b[0] - a[0] * b[2]);
  314 + r.push_back(a[0] * b[1] - a[1] * b[0]);
  315 +
  316 + return r;
  317 +}
  318 +
  319 +/**
  320 + * @brief Function cross between two vectors can be used for cross product
  321 + */
  322 +template <typename Type1, typename Type2>
  323 +std::vector<Type1> cross(std::vector<Type1> a, std::vector<Type2> b) {
  324 + return a^b;
  325 +}
  326 +
  327 +/**
  328 + * @brief div each coordinate one to one
  329 + * @details
  330 + * r[0] = a[0] / b[0]
  331 + * r[1] = a[1] / b[1]
  332 + * r[2] = a[2] / b[2]
  333 + */
  334 +template <typename Type1, typename Type2>
  335 +std::vector<Type1> div(std::vector<Type1> a, std::vector<Type2> b) {
  336 + std::vector<Type1> r;
  337 + if (a.size() != b.size()) {
  338 + BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Vector div on two vector of different size"));
  339 +
  340 + }
  341 +
  342 + for (unsigned int i = 0; i < a.size(); ++i) {
  343 + r.push_back(a[i] / b[i]);
  344 + }
  345 +
  346 + return r;
  347 +}
  348 +
  349 +//
  350 +//Idea but more complex: template <typename Type1, typename Type2>
  351 +//auto operator ^(std::vector<Type1> a, std::vector<Type2> b) -> std::vector<decltype(Type1()*Type2())> {
  352 +// std::vector<decltype(Type1()*Type2())> r;
353 353  
354 354  
355 355 // Idea but more complex: template <typename Type1, typename Type2>
... ... @@ -376,934 +376,859 @@
376 376 // return pow(a, b._i);
377 377 // }
378 378  
379   - // vector with scalar operation
380   -
381   - /**
382   - * @brief Operator division between a vector and a scalar
383   - * @details all member of vector are divided by the scalar
384   - */
385   - template <typename Type1, typename Type2>
386   - std::vector<Type1> operator /(std::vector<Type1> a, Type2 b) {
387   - std::vector<Type1> r;
388   - for(typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
389   - r.push_back((Type1)(*it / b));
390   - }
391   - return r;
392   - }
393   -
394   - /**
395   - * @brief Operator division between a scalar and a vector
396   - * @details apply the division on each vector component
397   - */
398   - template <typename Type1, typename Type2>
399   - std::vector<Type2> operator /(Type1 a, std::vector<Type2> b) {
400   - std::vector<Type2> r;
401   - for(typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
402   - r.push_back((Type2)(a / *it));
403   - }
404   - return r;
405   - }
406   -
407   -
408   - /**
409   - * @brief Operator addition between a vector and a scalar
410   - * @details all member of vector are added with the scalar
411   - */
412   - template <typename Type1, typename Type2>
413   - std::vector<Type1> operator +(std::vector<Type1> a, Type2 b) {
414   - std::vector<Type1> r;
415   - for(typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
416   - r.push_back((Type1)(*it + b));
417   - }
418   - return r;
419   - }
420   -
421   - /**
422   - * @brief Operator addition between a scalar and a vector
423   - * @details all member of vector are added with the scalar
424   - */
425   - template <typename Type1, typename Type2>
426   - std::vector<Type2> operator +( Type1 a, std::vector<Type2> b) {
427   - std::vector<Type2> r;
428   - for(typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
429   - r.push_back((Type2)(a + *it));
430   - }
431   - return r;
  379 +// vector with scalar operation
  380 +
  381 +/**
  382 + * @brief Operator division between a vector and a scalar
  383 + * @details all member of vector are divided by the scalar
  384 + */
  385 +template <typename Type1, typename Type2>
  386 +std::vector<Type1> operator/(std::vector<Type1> a, Type2 b) {
  387 + std::vector<Type1> r;
  388 + for (typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
  389 + r.push_back((Type1) (*it / b));
  390 + }
  391 + return r;
  392 +}
  393 +
  394 +/**
  395 + * @brief Operator division between a scalar and a vector
  396 + * @details apply the division on each vector component
  397 + */
  398 +template <typename Type1, typename Type2>
  399 +std::vector<Type2> operator/(Type1 a, std::vector<Type2> b) {
  400 + std::vector<Type2> r;
  401 + for (typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
  402 + r.push_back((Type2) (a / *it));
  403 + }
  404 + return r;
  405 +}
  406 +
  407 +/**
  408 + * @brief Operator addition between a vector and a scalar
  409 + * @details all member of vector are added with the scalar
  410 + */
  411 +template <typename Type1, typename Type2>
  412 +std::vector<Type1> operator+(std::vector<Type1> a, Type2 b) {
  413 + std::vector<Type1> r;
  414 + for (typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
  415 + r.push_back((Type1) (*it + b));
  416 + }
  417 + return r;
  418 +}
  419 +
  420 +/**
  421 + * @brief Operator addition between a scalar and a vector
  422 + * @details all member of vector are added with the scalar
  423 + */
  424 +template <typename Type1, typename Type2>
  425 +std::vector<Type2> operator+(Type1 a, std::vector<Type2> b) {
  426 + std::vector<Type2> r;
  427 + for (typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
  428 + r.push_back((Type2) (a + *it));
  429 + }
  430 + return r;
  431 +}
  432 +
  433 +/**
  434 + * @brief Operator subtraction between a vector and a scalar
  435 + * @details scalar is substracted to all vector components
  436 + */
  437 +template <typename Type1, typename Type2>
  438 +std::vector<Type1> operator-(std::vector<Type1> a, Type2 b) {
  439 + std::vector<Type1> r;
  440 + for (typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
  441 + r.push_back((Type1) (*it - b));
  442 + }
  443 + return r;
  444 +}
  445 +
  446 +/**
  447 + * @brief Operator subtraction between a scalar and a vector
  448 + * @details all member of vector are subtracted with the scalar
  449 + */
  450 +template <typename Type1, typename Type2>
  451 +std::vector<Type2> operator-(Type1 a, std::vector<Type2> b) {
  452 + std::vector<Type2> r;
  453 + for (typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
  454 + r.push_back((Type2) (a - *it));
  455 + }
  456 + return r;
  457 +}
  458 +
  459 +/**
  460 + * @brief Operator product between a vector and a scalar
  461 + * @details product applied in all member of vector
  462 + */
  463 +template <typename Type1, typename Type2>
  464 +std::vector<Type1> operator*(std::vector<Type1> a, Type2 b) {
  465 + std::vector<Type1> r;
  466 + for (typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
  467 + r.push_back((Type1) ((*it) * b));
  468 + }
  469 + return r;
  470 +}
  471 +
  472 +/**
  473 + * @brief Operator product between a scalar and a vector
  474 + * @details all member of vector are added by the scalar
  475 + */
  476 +template <typename Type1, typename Type2>
  477 +std::vector<Type2> operator*(Type1 a, std::vector<Type2> b) {
  478 + std::vector<Type2> r;
  479 + for (typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
  480 + r.push_back((Type2) (a * (*it)));
  481 + }
  482 + return r;
  483 +}
  484 +
  485 +/**
  486 + * @return false if val is NaN or inf or -inf
  487 + */
  488 +template <typename Type>
  489 +inline bool isFinite(Type val) {
  490 + return std::isfinite(val);
  491 +}
  492 +
  493 +inline bool isFinite(AMDA::Parameters::LogicalData val) {
  494 + return !isNAN(val);
  495 +}
  496 +
  497 +/**
  498 + * @return false if elem of val is NaN or inf or -inf
  499 + */
  500 +template <typename Type>
  501 +inline bool isFinite(std::vector<Type> val) {
  502 + bool ret = false;
  503 + auto it = val.begin();
  504 + while (it != val.end() && !ret) {
  505 + ret &= std::isfinite(*it);
  506 + ++it;
  507 + }
  508 + return ret;
  509 +}
  510 +
  511 +/**
  512 + * @return false if elem of val is NaN or inf or -inf
  513 + */
  514 +template <typename Type>
  515 +inline bool isFinite(const AMDA::Parameters::Tab2DData<Type>& val) {
  516 + bool ret = false;
  517 + for (int i = 0; i < val.getDim1Size(); ++i)
  518 + for (int j = 0; j < val.getDim2Size(); ++j)
  519 + ret &= std::isfinite(val[i][j]);
  520 + return ret;
  521 +}
  522 +
  523 +/**
  524 + * @return the average of std::list
  525 + */
  526 +template <typename Type>
  527 +inline Type average(std::list<Type> tab, int /*dim1*/, int /*dim2*/) {
  528 + Type mean;
  529 + if (tab.empty()) {
  530 + mean << NotANumber();
  531 + } else {
  532 + mean << ElemNull();
  533 + auto it = tab.begin();
  534 + if (it != tab.end()) {
  535 + unsigned int nbNan = 0;
  536 + Type sum;
  537 + sum << NotANumber();
  538 + for (; it != tab.end(); ++it) {
  539 + if (isFinite(*it) && !isNAN(*it)) {
  540 + if (isNAN(sum))
  541 + sum = *it;
  542 + else
  543 + sum = sum + *it;
  544 + } else {
  545 + ++nbNan;
  546 + }
  547 + }
  548 + if ((tab.size() - nbNan == 0) || isNAN(sum)) {
  549 + mean << NotANumber();
  550 + } else {
  551 + mean = sum / (int) (tab.size() - nbNan);
  552 + }
  553 + } else {
  554 + mean << NotANumber();
  555 + }
  556 + }
  557 + return mean;
  558 +}
  559 +
  560 +inline AMDA::Parameters::LogicalData average(std::list<AMDA::Parameters::LogicalData> /*tab*/, int /*dim1*/, int /*dim2*/) {
  561 + AMDA::Parameters::LogicalData mean;
  562 + mean << NotANumber();
  563 + return mean;
  564 +}
  565 +
  566 +template <typename Type>
  567 +inline AMDA::Parameters::Tab2DData<Type> average(std::list<AMDA::Parameters::Tab2DData<Type> > tab, int dim1, int dim2) {
  568 + AMDA::Parameters::Tab2DData<Type> mean(dim1, dim2);
  569 + AMDA::Parameters::Tab2DData<unsigned int > nbNan(dim1, dim2);
  570 + AMDA::Parameters::Tab2DData<Type> sum(dim1, dim2);
  571 + if (tab.empty()) {
  572 + mean << NotANumber();
  573 + return mean;
  574 + }
  575 + for (int index1 = 0; index1 < dim1; ++index1) {
  576 + for (int index2 = 0; index2 < dim2; ++index2) {
  577 + nbNan[index1][index2] = 0;
  578 + }
  579 + }
  580 + sum << NotANumber();
  581 + for (auto it = tab.begin(); it != tab.end(); ++it) {
  582 + for (int index1 = 0; index1 < dim1; ++index1) {
  583 + for (int index2 = 0; index2 < dim2; ++index2) {
  584 + Type val = (*it)[index1][index2];
  585 + if (std::isfinite(val) && !isNAN(val)) {
  586 + if (isNAN(sum[index1][index2]))
  587 + sum[index1][index2] = val;
  588 + else
  589 + sum[index1][index2] += val;
  590 + } else {
  591 + ++(nbNan[index1][index2]);
  592 + }
  593 + }
  594 + }
  595 + }
  596 + for (int index1 = 0; index1 < dim1; ++index1) {
  597 + for (int index2 = 0; index2 < dim2; ++index2) {
  598 + if (tab.size() - nbNan[index1][index2] == 0) {
  599 + mean[index1][index2] << NotANumber();
  600 + } else {
  601 + mean[index1][index2] = sum[index1][index2] / (int) (tab.size() - nbNan[index1][index2]);
  602 + }
432 603 }
  604 + }
  605 +
  606 + return mean;
  607 +}
433 608  
434   - /**
435   - * @brief Operator subtraction between a vector and a scalar
436   - * @details scalar is substracted to all vector components
437   - */
438   - template <typename Type1, typename Type2>
439   - std::vector<Type1> operator -(std::vector<Type1> a, Type2 b) {
440   - std::vector<Type1> r;
441   - for(typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
442   - r.push_back((Type1)(*it-b));
443   - }
444   - return r;
445   - }
446   -
447   - /**
448   - * @brief Operator subtraction between a scalar and a vector
449   - * @details all member of vector are subtracted with the scalar
450   - */
451   - template <typename Type1, typename Type2>
452   - std::vector<Type2> operator -(Type1 a, std::vector<Type2> b) {
453   - std::vector<Type2> r;
454   - for(typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
455   - r.push_back((Type2)(a-*it));
456   - }
457   - return r;
458   - }
459   -
460   - /**
461   - * @brief Operator product between a vector and a scalar
462   - * @details product applied in all member of vector
463   - */
464   - template <typename Type1, typename Type2>
465   - std::vector<Type1> operator *(std::vector<Type1> a, Type2 b) {
466   - std::vector<Type1> r;
467   - for(typename std::vector<Type1>::iterator it = a.begin(); it != a.end(); ++it) {
468   - r.push_back((Type1)((*it) * b));
469   - }
470   - return r;
471   - }
472   -
473   - /**
474   - * @brief Operator product between a scalar and a vector
475   - * @details all member of vector are added by the scalar
476   - */
477   - template <typename Type1, typename Type2>
478   - std::vector<Type2> operator *( Type1 a, std::vector<Type2> b) {
479   - std::vector<Type2> r;
480   - for(typename std::vector<Type2>::iterator it = b.begin(); it != b.end(); ++it) {
481   - r.push_back((Type2)(a * (*it)));
482   - }
483   - return r;
484   - }
485   -
486   -
487   -
488   - /**
489   - * @return false if val is NaN or inf or -inf
490   - */
491   - template <typename Type>
492   - inline bool isFinite(Type val) {
493   - return std::isfinite(val);
494   - }
495   -
496   - inline bool isFinite(AMDA::Parameters::LogicalData val) {
497   - return !isNAN(val);
  609 +inline AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData> average(std::list<AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData>> /*tab*/, int dim1, int dim2) {
  610 + AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData> mean(dim1, dim2);
  611 + mean << NotANumber();
  612 + return mean;
  613 +}
  614 +
  615 +/**
  616 + * @return the average of std::list
  617 + */
  618 +template <typename Type>
  619 +inline std::vector<Type> average(std::list<std::vector<Type> > tab, int dim1, int /*dim2*/) {
  620 + std::vector<Type> mean;
  621 + mean.resize(dim1);
  622 + std::vector<unsigned int >nbNan;
  623 + nbNan.resize(dim1);
  624 + std::vector<Type> sum;
  625 + sum.resize(dim1);
  626 + if (tab.empty()) {
  627 + mean << NotANumber();
  628 + return mean;
  629 + }
  630 + for (unsigned int index = 0; index < tab.begin()->size(); ++index) {
  631 + nbNan[index] = 0;
  632 + }
  633 + sum << NotANumber();
  634 + for (auto it = tab.begin(); it != tab.end(); ++it) {
  635 + for (unsigned int index = 0; index < it->size(); ++index) {
  636 + Type val = it->at(index);
  637 + if (std::isfinite(val) && !isNAN(val)) {
  638 + if (isNAN(sum[index]))
  639 + sum[index] = val;
  640 + else
  641 + sum[index] += val;
  642 + } else {
  643 + ++(nbNan[index]);
  644 + }
  645 + }
  646 + }
  647 + for (unsigned int index = 0; index < tab.begin()->size(); ++index) {
  648 + if (tab.size() - nbNan[index] == 0) {
  649 + mean[index] << NotANumber();
  650 + } else {
  651 + mean[index] = sum[index] / (int) (tab.size() - nbNan[index]);
498 652 }
  653 + }
  654 +
499 655  
  656 + return mean;
  657 +}
500 658  
501   - /**
502   - * @return false if elem of val is NaN or inf or -inf
503   - */
504   - template <typename Type>
505   - inline bool isFinite(std::vector<Type> val) {
506   - bool ret =false;
507   - auto it = val.begin();
508   - while(it != val.end() && !ret) {
509   - ret &= std::isfinite(*it);
510   - ++it;
511   - }
512   - return ret;
513   - }
514   -
515   - /**
516   - * @return false if elem of val is NaN or inf or -inf
517   - */
518   - template <typename Type>
519   - inline bool isFinite(const AMDA::Parameters::Tab2DData<Type>& val) {
520   - bool ret =false;
521   - for (int i = 0; i < val.getDim1Size(); ++i)
522   - for (int j = 0; j < val.getDim2Size(); ++j)
523   - ret &= std::isfinite(val[i][j]);
524   - return ret;
525   - }
526   -
527   - /**
528   - * @return the average of std::list
529   - */
530   - template <typename Type>
531   - inline Type average(std::list<Type> tab, int /*dim1*/, int /*dim2*/) {
532   - Type mean;
533   - if(tab.empty()) {
534   - mean << NotANumber();
535   - }
536   - else {
537   - mean << ElemNull();
538   - auto it = tab.begin();
539   - if (it != tab.end()) {
540   - unsigned int nbNan = 0;
541   - Type sum;
542   - sum << NotANumber();
543   - for (; it != tab.end(); ++it) {
544   - if(isFinite(*it) && !isNAN(*it)) {
545   - if (isNAN(sum))
546   - sum = *it;
547   - else
548   - sum = sum + *it;
549   - }
550   - else {
551   - ++nbNan;
552   - }
553   - }
554   - if ((tab.size() - nbNan == 0) || isNAN(sum)) {
555   - mean << NotANumber();
556   - }
557   - else {
558   - mean = sum / (int)(tab.size() - nbNan);
559   - }
560   - }
561   - else {
562   - mean << NotANumber();
563   - }
564   - }
565   - return mean;
566   - }
567   -
568   - inline AMDA::Parameters::LogicalData average(std::list<AMDA::Parameters::LogicalData> /*tab*/, int /*dim1*/, int /*dim2*/) {
569   - AMDA::Parameters::LogicalData mean;
570   - mean << NotANumber();
571   - return mean;
572   - }
573   -
574   - template <typename Type>
575   - inline AMDA::Parameters::Tab2DData<Type> average(std::list<AMDA::Parameters::Tab2DData<Type> > tab, int dim1, int dim2) {
576   - AMDA::Parameters::Tab2DData<Type> mean(dim1,dim2);
577   - AMDA::Parameters::Tab2DData<unsigned int > nbNan(dim1,dim2);
578   - AMDA::Parameters::Tab2DData<Type> sum(dim1,dim2);
579   - if(tab.empty()) {
580   - mean << NotANumber();
581   - return mean;
582   - }
583   - for (int index1 = 0; index1 < dim1; ++index1) {
584   - for (int index2 = 0; index2 < dim2; ++index2) {
585   - nbNan[index1][index2] = 0;
586   - }
587   - }
588   - sum << NotANumber();
589   - for (auto it = tab.begin(); it != tab.end(); ++it) {
590   - for(int index1 = 0; index1 < dim1; ++index1) {
591   - for(int index2 = 0; index2 < dim2; ++index2) {
592   - Type val = (*it)[index1][index2];
593   - if(std::isfinite(val) && !isNAN(val)) {
594   - if (isNAN(sum[index1][index2]))
595   - sum[index1][index2] = val;
596   - else
597   - sum[index1][index2] +=val;
598   - }
599   - else {
600   - ++(nbNan[index1][index2]);
601   - }
602   - }
603   - }
604   - }
605   - for(int index1 = 0; index1 < dim1; ++index1) {
606   - for(int index2 = 0; index2 < dim2; ++index2) {
607   - if (tab.size() - nbNan[index1][index2] == 0) {
608   - mean[index1][index2] << NotANumber();
609   - }
610   - else {
611   - mean[index1][index2] = sum[index1][index2] / (int)(tab.size() - nbNan[index1][index2]);
612   - }
613   - }
614   - }
615   -
616   - return mean;
617   - }
618   -
619   - inline AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData> average(std::list<AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData>> /*tab*/, int dim1, int dim2) {
620   - AMDA::Parameters::Tab2DData<AMDA::Parameters::LogicalData> mean(dim1,dim2);
621   - mean << NotANumber();
622   - return mean;
623   - }
624   -
625   - /**
626   - * @return the average of std::list
627   - */
628   - template <typename Type>
629   - inline std::vector<Type> average(std::list<std::vector<Type> > tab, int dim1, int /*dim2*/) {
630   - std::vector<Type> mean;
631   - mean.resize(dim1);
632   - std::vector<unsigned int >nbNan;
633   - nbNan.resize(dim1);
634   - std::vector<Type> sum;
635   - sum.resize(dim1);
636   - if(tab.empty()) {
637   - mean << NotANumber();
638   - return mean;
639   - }
640   - for(unsigned int index = 0; index < tab.begin()->size(); ++index) {
641   - nbNan[index] = 0;
642   - }
643   - sum << NotANumber();
644   - for (auto it = tab.begin(); it != tab.end(); ++it) {
645   - for(unsigned int index = 0; index < it->size(); ++index) {
646   - Type val = it->at(index);
647   - if(std::isfinite(val) && !isNAN(val)) {
648   - if (isNAN(sum[index]))
649   - sum[index] = val;
650   - else
651   - sum[index] +=val;
652   - }
653   - else {
654   - ++(nbNan[index]);
655   - }
656   - }
657   - }
658   - for(unsigned int index = 0; index < tab.begin()->size(); ++index) {
659   - if (tab.size() - nbNan[index] == 0) {
660   - mean[index] << NotANumber();
661   - }
662   - else {
663   - mean[index] = sum[index] / (int)(tab.size() - nbNan[index]);
664   - }
665   - }
666   -
667   -
668   - return mean;
669   - }
670   -
671   - inline std::vector<AMDA::Parameters::LogicalData> average(std::list<std::vector<AMDA::Parameters::LogicalData>> /*tab*/, int dim1, int /*dim2*/) {
672   - std::vector<AMDA::Parameters::LogicalData> mean;
673   - mean.resize(dim1);
674   - mean << NotANumber();
675   - return mean;
676   - }
  659 +inline std::vector<AMDA::Parameters::LogicalData> average(std::list<std::vector<AMDA::Parameters::LogicalData>> /*tab*/, int dim1, int /*dim2*/) {
  660 + std::vector<AMDA::Parameters::LogicalData> mean;
  661 + mean.resize(dim1);
  662 + mean << NotANumber();
  663 + return mean;
  664 +}
677 665  
678 666 /**
679 667 *
680 668 */
681   - template <typename Type>
682   - inline Type interpolation(const Type& leftVal, const Type& rightVal, double coef, int /*dim1*/, int /*dim2*/) {
683   - Type val;
684   - val << NotANumber();
685   - if (isNAN(leftVal) || isNAN(rightVal) || coef < 0. || coef > 1.)
686   - return val;
687   - val = leftVal + (rightVal - leftVal) * coef;
688   - return val;
689   - }
  669 +template <typename Type>
  670 +inline Type interpolation(const Type& leftVal, const Type& rightVal, double coef, int /*dim1*/, int /*dim2*/) {
  671 + Type val;
  672 + val << NotANumber();
  673 + if (isNAN(leftVal) || isNAN(rightVal) || coef < 0. || coef > 1.)
  674 + return val;
  675 + val = leftVal + (rightVal - leftVal) * coef;
  676 + return val;
  677 +}
690 678  
691   - inline AMDA::Parameters::LogicalData interpolation(const AMDA::Parameters::LogicalData& leftVal, const AMDA::Parameters::LogicalData& rightVal, double /*coef*/, int /*dim1*/, int /*dim2*/) {
692   - AMDA::Parameters::LogicalData val;
693   - if (leftVal == rightVal) {
694   - val = leftVal;
695   - }
696   - else {
697   - val << NotANumber();
698   - }
699   - return val;
700   - }
  679 +inline AMDA::Parameters::LogicalData interpolation(const AMDA::Parameters::LogicalData& leftVal, const AMDA::Parameters::LogicalData& rightVal, double /*coef*/, int /*dim1*/, int /*dim2*/) {
  680 + AMDA::Parameters::LogicalData val;
  681 + if (leftVal == rightVal) {
  682 + val = leftVal;
  683 + } else {
  684 + val << NotANumber();
  685 + }
  686 + return val;
  687 +}
701 688  
702 689 /**
703 690 *
704 691 */
705 692  
706   - template <typename Type>
707   - inline AMDA::Parameters::Tab2DData<Type> interpolation(const AMDA::Parameters::Tab2DData<Type>& leftVal, const AMDA::Parameters::Tab2DData<Type>& rightVal, double coef, int dim1, int dim2) {
708   - AMDA::Parameters::Tab2DData<Type> val(dim1,dim2);
709   - val << NotANumber();
710   - for(int index1 = 0; index1 < dim1; ++index1) {
711   - for(int index2 = 0; index2 < dim2; ++index2) {
712   - Type leftValComp = leftVal[index1][index2];
713   - Type rightValComp = rightVal[index1][index2];
714   - val[index1][index2] = interpolation(leftValComp, rightValComp, coef, 1, 1);
715   - }
716   - }
717   - return val;
718   - }
719   -
720   - template <typename Type>
721   - inline std::vector<Type> interpolation(const std::vector<Type>& leftVal, const std::vector<Type>& rightVal, double coef, int dim1, int /*dim2*/) {
722   - std::vector<Type> val;
723   - val.resize(dim1);
724   - val << NotANumber();
725   - for(int index = 0; index < dim1; ++index) {
726   - Type leftValComp = leftVal[index];
727   - Type rightValComp = rightVal[index];
728   - val[index] = interpolation(leftValComp, rightValComp, coef, 1, 1);
729   - }
730   - return val;
731   - }
  693 +template <typename Type>
  694 +inline AMDA::Parameters::Tab2DData<Type> interpolation(const AMDA::Parameters::Tab2DData<Type>& leftVal, const AMDA::Parameters::Tab2DData<Type>& rightVal, double coef, int dim1, int dim2) {
  695 + AMDA::Parameters::Tab2DData<Type> val(dim1, dim2);
  696 + val << NotANumber();
  697 + for (int index1 = 0; index1 < dim1; ++index1) {
  698 + for (int index2 = 0; index2 < dim2; ++index2) {
  699 + Type leftValComp = leftVal[index1][index2];
  700 + Type rightValComp = rightVal[index1][index2];
  701 + val[index1][index2] = interpolation(leftValComp, rightValComp, coef, 1, 1);
  702 + }
  703 + }
  704 + return val;
  705 +}
  706 +
  707 +template <typename Type>
  708 +inline std::vector<Type> interpolation(const std::vector<Type>& leftVal, const std::vector<Type>& rightVal, double coef, int dim1, int /*dim2*/) {
  709 + std::vector<Type> val;
  710 + val.resize(dim1);
  711 + val << NotANumber();
  712 + for (int index = 0; index < dim1; ++index) {
  713 + Type leftValComp = leftVal[index];
  714 + Type rightValComp = rightVal[index];
  715 + val[index] = interpolation(leftValComp, rightValComp, coef, 1, 1);
  716 + }
  717 + return val;
  718 +}
732 719  
733 720 /**
734 721 * @brief Operator + between Tab2D and scalar
735 722 */
736 723 template <typename Type1, typename Type2>
737   -AMDA::Parameters::Tab2DData<Type1> operator +(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b)
738   -{
739   - AMDA::Parameters::Tab2DData<Type1> r(a);
740   -
741   - if (isNAN(b))
742   - {
743   - r << NotANumber();
744   - return r;
745   - }
746   -
747   - for(int i = 0; i < r.getDim1Size(); ++i)
748   - for(int j = 0; j < r.getDim2Size(); ++j)
749   - {
750   - if (!isNAN(r[i][j]))
751   - r[i][j] += b;
752   - }
753   - return r;
  724 +AMDA::Parameters::Tab2DData<Type1> operator+(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b) {
  725 + AMDA::Parameters::Tab2DData<Type1> r(a);
  726 +
  727 + if (isNAN(b)) {
  728 + r << NotANumber();
  729 + return r;
  730 + }
  731 +
  732 + for (int i = 0; i < r.getDim1Size(); ++i)
  733 + for (int j = 0; j < r.getDim2Size(); ++j) {
  734 + if (!isNAN(r[i][j]))
  735 + r[i][j] += b;
  736 + }
  737 + return r;
754 738 }
755 739  
756 740 template <typename Type1, typename Type2>
757   -AMDA::Parameters::Tab2DData<Type2> operator +(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b)
758   -{
759   - return (b+a);
  741 +AMDA::Parameters::Tab2DData<Type2> operator+(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  742 + return (b + a);
760 743 }
761 744  
762 745 /**
763 746 * @brief Operator - between Tab2D and scalar
764 747 */
765 748 template <typename Type1, typename Type2>
766   -AMDA::Parameters::Tab2DData<Type1> operator -(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b)
767   -{
768   - return (a+(-b));
  749 +AMDA::Parameters::Tab2DData<Type1> operator-(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b) {
  750 + return (a + (-b));
769 751 }
770 752  
771 753 template <typename Type1, typename Type2>
772   -AMDA::Parameters::Tab2DData<Type2> operator -(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b)
773   -{
774   - AMDA::Parameters::Tab2DData<Type2> r(b);
775   -
776   - if (isNAN(a))
777   - {
778   - r << NotANumber();
779   - return r;
780   - }
781   -
782   - for(int i = 0; i < r.getDim1Size(); ++i)
783   - for(int j = 0; j < r.getDim2Size(); ++j)
784   - {
785   - if (!isNAN(r[i][j]))
786   - r[i][j] = a - r[i][j];
787   - }
788   - return r;
  754 +AMDA::Parameters::Tab2DData<Type2> operator-(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  755 + AMDA::Parameters::Tab2DData<Type2> r(b);
  756 +
  757 + if (isNAN(a)) {
  758 + r << NotANumber();
  759 + return r;
  760 + }
  761 +
  762 + for (int i = 0; i < r.getDim1Size(); ++i)
  763 + for (int j = 0; j < r.getDim2Size(); ++j) {
  764 + if (!isNAN(r[i][j]))
  765 + r[i][j] = a - r[i][j];
  766 + }
  767 + return r;
789 768 }
790 769  
791 770 /**
792 771 * @brief Operator * between Tab2D and scalar
793 772 */
794 773 template <typename Type1, typename Type2>
795   -AMDA::Parameters::Tab2DData<Type1> operator *(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b)
796   -{
797   - AMDA::Parameters::Tab2DData<Type1> r(a);
798   -
799   - if (isNAN(b))
800   - {
801   - r << NotANumber();
802   - return r;
803   - }
804   -
805   - for(int i = 0; i < r.getDim1Size(); ++i)
806   - for(int j = 0; j < r.getDim2Size(); ++j)
807   - {
808   - if (!isNAN(r[i][j]))
809   - r[i][j] *= b;
810   - }
811   - return r;
  774 +AMDA::Parameters::Tab2DData<Type1> operator*(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b) {
  775 + AMDA::Parameters::Tab2DData<Type1> r(a);
  776 +
  777 + if (isNAN(b)) {
  778 + r << NotANumber();
  779 + return r;
  780 + }
  781 +
  782 + for (int i = 0; i < r.getDim1Size(); ++i)
  783 + for (int j = 0; j < r.getDim2Size(); ++j) {
  784 + if (!isNAN(r[i][j]))
  785 + r[i][j] *= b;
  786 + }
  787 + return r;
812 788 }
813 789  
814 790 template <typename Type1, typename Type2>
815   -AMDA::Parameters::Tab2DData<Type2> operator *(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b)
816   -{
817   - return (b*a);
  791 +AMDA::Parameters::Tab2DData<Type2> operator*(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  792 + return (b * a);
818 793 }
819 794  
820 795 /**
821 796 * @brief Operator / between Tab2D and scalar
822 797 */
823 798 template <typename Type1, typename Type2>
824   -AMDA::Parameters::Tab2DData<Type1> operator /(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b)
825   -{
826   - if (b==0)
827   - {
828   - AMDA::Parameters::Tab2DData<Type1> r(a);
829   - r << NotANumber();
830   - return r;
831   - }
832   - return (a*(1./b));
  799 +AMDA::Parameters::Tab2DData<Type1> operator/(const AMDA::Parameters::Tab2DData<Type1>& a, Type2 b) {
  800 + if (b == 0) {
  801 + AMDA::Parameters::Tab2DData<Type1> r(a);
  802 + r << NotANumber();
  803 + return r;
  804 + }
  805 + return (a * (1. / b));
833 806 }
834 807  
835 808 template <typename Type1, typename Type2>
836   -AMDA::Parameters::Tab2DData<Type2> operator /(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b)
837   -{
838   - AMDA::Parameters::Tab2DData<Type2> r(b);
839   -
840   - if (isNAN(a))
841   - {
842   - r << NotANumber();
843   - return r;
844   - }
845   -
846   - for(int i = 0; i < r.getDim1Size(); ++i)
847   - for(int j = 0; j < r.getDim2Size(); ++j)
848   - {
849   - if (isNAN(r[i][j]) || (r[i][j] == 0))
850   - r[i][j] << NotANumber();
851   - else
852   - r[i][j] = a / r[i][j];
853   - }
854   - return r;
  809 +AMDA::Parameters::Tab2DData<Type2> operator/(Type1 a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  810 + AMDA::Parameters::Tab2DData<Type2> r(b);
  811 +
  812 + if (isNAN(a)) {
  813 + r << NotANumber();
  814 + return r;
  815 + }
  816 +
  817 + for (int i = 0; i < r.getDim1Size(); ++i)
  818 + for (int j = 0; j < r.getDim2Size(); ++j) {
  819 + if (isNAN(r[i][j]) || (r[i][j] == 0))
  820 + r[i][j] << NotANumber();
  821 + else
  822 + r[i][j] = a / r[i][j];
  823 + }
  824 + return r;
855 825 }
856 826  
857 827 /*
858 828 * @brief Function add between a Tab2D and a vector
859 829 */
860 830 template <typename Type1, typename Type2>
861   -AMDA::Parameters::Tab2DData<Type1> add(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode)
862   -{
863   - AMDA::Parameters::Tab2DData<Type1> r(a);
864   -
865   - switch (mode)
866   - {
867   - case 1 :
868   - if (r.getDim1Size() != b.size()) {
869   - BOOST_THROW_EXCEPTION(
870   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
871   - }
872   -
873   - for(int i = 0; i < r.getDim1Size(); ++i)
874   - for(int j = 0; j < r.getDim2Size(); ++j)
875   - {
876   - if (isNAN(r[i][j]) || isNAN(b[i]))
877   - r[i][j] << NotANumber();
878   - else
879   - r[i][j] += b[i];
880   - }
881   - break;
882   - case 2 :
883   - if (r.getDim2Size() != b.size()) {
884   - BOOST_THROW_EXCEPTION(
885   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
886   - }
887   -
888   - for(int i = 0; i < r.getDim1Size(); ++i)
889   - for(int j = 0; j < r.getDim2Size(); ++j)
890   - {
891   - if (isNAN(r[i][j]) || isNAN(b[j]))
892   - r[i][j] << NotANumber();
893   - else
894   - r[i][j] += b[j];
895   - }
896   - break;
897   - default:
898   - BOOST_THROW_EXCEPTION(
899   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
900   - }
901   - return r;
  831 +AMDA::Parameters::Tab2DData<Type1> add(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode) {
  832 + AMDA::Parameters::Tab2DData<Type1> r(a);
  833 +
  834 + switch (mode) {
  835 + case 1:
  836 + if (r.getDim1Size() != b.size()) {
  837 + BOOST_THROW_EXCEPTION(
  838 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  839 + }
  840 +
  841 + for (int i = 0; i < r.getDim1Size(); ++i)
  842 + for (int j = 0; j < r.getDim2Size(); ++j) {
  843 + if (isNAN(r[i][j]) || isNAN(b[i]))
  844 + r[i][j] << NotANumber();
  845 + else
  846 + r[i][j] += b[i];
  847 + }
  848 + break;
  849 + case 2:
  850 + if (r.getDim2Size() != b.size()) {
  851 + BOOST_THROW_EXCEPTION(
  852 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  853 + }
  854 +
  855 + for (int i = 0; i < r.getDim1Size(); ++i)
  856 + for (int j = 0; j < r.getDim2Size(); ++j) {
  857 + if (isNAN(r[i][j]) || isNAN(b[j]))
  858 + r[i][j] << NotANumber();
  859 + else
  860 + r[i][j] += b[j];
  861 + }
  862 + break;
  863 + default:
  864 + BOOST_THROW_EXCEPTION(
  865 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
  866 + }
  867 + return r;
902 868 }
903 869  
904 870 template <typename Type1, typename Type2>
905   -AMDA::Parameters::Tab2DData<Type2> add(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode)
906   -{
907   - return add(b,a,mode);
  871 +AMDA::Parameters::Tab2DData<Type2> add(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode) {
  872 + return add(b, a, mode);
908 873 }
909 874  
910 875 /**
911 876 * @brief Operator + between Tab2D and vector
912 877 */
913 878 template <typename Type1, typename Type2>
914   -AMDA::Parameters::Tab2DData<Type1> operator +(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b)
915   -{
916   - return add(a,b,1);
  879 +AMDA::Parameters::Tab2DData<Type1> operator+(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b) {
  880 + return add(a, b, 1);
917 881 }
918 882  
919 883 template <typename Type1, typename Type2>
920   -AMDA::Parameters::Tab2DData<Type2> operator +(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b)
921   -{
922   - return add(a,b,1);
  884 +AMDA::Parameters::Tab2DData<Type2> operator+(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  885 + return add(a, b, 1);
923 886 }
924 887  
925 888 /**
926 889 * @brief Function sub between Tab2D and vector
927 890 */
928 891 template <typename Type1, typename Type2>
929   -AMDA::Parameters::Tab2DData<Type1> sub(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode)
930   -{
931   - return add(a,(-1)*b,mode);
  892 +AMDA::Parameters::Tab2DData<Type1> sub(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode) {
  893 + return add(a, (-1) * b, mode);
932 894 }
933 895  
934 896 template <typename Type1, typename Type2>
935   -AMDA::Parameters::Tab2DData<Type2> sub(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode)
936   -{
937   - AMDA::Parameters::Tab2DData<Type2> r(b);
938   -
939   - switch(mode)
940   - {
941   - case 1 :
942   - if (r.getDim1Size() != a.size()) {
943   - BOOST_THROW_EXCEPTION(
944   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
945   - }
946   -
947   - for(int i = 0; i < r.getDim1Size(); ++i)
948   - for(int j = 0; j < r.getDim2Size(); ++j)
949   - {
950   - if (isNAN(r[i][j]) || isNAN(a[i]))
951   - r[i][j] << NotANumber();
952   - else
953   - r[i][j] = a[i] - r[i][j];
954   - }
955   - break;
956   - case 2 :
957   - if (r.getDim2Size() != a.size()) {
958   - BOOST_THROW_EXCEPTION(
959   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
960   - }
961   -
962   - for(int i = 0; i < r.getDim1Size(); ++i)
963   - for(int j = 0; j < r.getDim2Size(); ++j)
964   - {
965   - if (isNAN(r[i][j]) || isNAN(a[j]))
966   - r[i][j] << NotANumber();
967   - else
968   - r[i][j] = a[j] - r[i][j];
969   - }
970   - break;
971   - default:
972   - BOOST_THROW_EXCEPTION(
973   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
974   - }
975   - return r;
  897 +AMDA::Parameters::Tab2DData<Type2> sub(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode) {
  898 + AMDA::Parameters::Tab2DData<Type2> r(b);
  899 +
  900 + switch (mode) {
  901 + case 1:
  902 + if (r.getDim1Size() != a.size()) {
  903 + BOOST_THROW_EXCEPTION(
  904 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  905 + }
  906 +
  907 + for (int i = 0; i < r.getDim1Size(); ++i)
  908 + for (int j = 0; j < r.getDim2Size(); ++j) {
  909 + if (isNAN(r[i][j]) || isNAN(a[i]))
  910 + r[i][j] << NotANumber();
  911 + else
  912 + r[i][j] = a[i] - r[i][j];
  913 + }
  914 + break;
  915 + case 2:
  916 + if (r.getDim2Size() != a.size()) {
  917 + BOOST_THROW_EXCEPTION(
  918 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  919 + }
  920 +
  921 + for (int i = 0; i < r.getDim1Size(); ++i)
  922 + for (int j = 0; j < r.getDim2Size(); ++j) {
  923 + if (isNAN(r[i][j]) || isNAN(a[j]))
  924 + r[i][j] << NotANumber();
  925 + else
  926 + r[i][j] = a[j] - r[i][j];
  927 + }
  928 + break;
  929 + default:
  930 + BOOST_THROW_EXCEPTION(
  931 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
  932 + }
  933 + return r;
976 934 }
977 935  
978 936 /**
979 937 * @brief Operator - between Tab2D and vector
980 938 */
981 939 template <typename Type1, typename Type2>
982   -AMDA::Parameters::Tab2DData<Type1> operator -(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b)
983   -{
984   - return sub(a,b,1);
  940 +AMDA::Parameters::Tab2DData<Type1> operator-(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b) {
  941 + return sub(a, b, 1);
985 942 }
986 943  
987 944 template <typename Type1, typename Type2>
988   -AMDA::Parameters::Tab2DData<Type2> operator -(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b)
989   -{
990   - return sub(a,b,1);
  945 +AMDA::Parameters::Tab2DData<Type2> operator-(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  946 + return sub(a, b, 1);
991 947 }
992 948  
993 949 /**
994 950 * @brief Function mult between Tab2D and vector
995 951 */
996 952 template <typename Type1, typename Type2>
997   -AMDA::Parameters::Tab2DData<Type1> mult(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode)
998   -{
999   - AMDA::Parameters::Tab2DData<Type1> r(a);
1000   -
1001   - switch (mode)
1002   - {
1003   - case 1 :
1004   - if (r.getDim1Size() != b.size()) {
1005   - BOOST_THROW_EXCEPTION(
1006   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1007   - }
1008   -
1009   - for(int i = 0; i < r.getDim1Size(); ++i)
1010   - for(int j = 0; j < r.getDim2Size(); ++j)
1011   - {
1012   - if (isNAN(r[i][j]) || isNAN(b[i]))
1013   - r[i][j] << NotANumber();
1014   - else
1015   - r[i][j] *= b[i];
1016   - }
1017   - break;
1018   - case 2:
1019   - if (r.getDim2Size() != b.size()) {
1020   - BOOST_THROW_EXCEPTION(
1021   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1022   - }
1023   -
1024   - for(int i = 0; i < r.getDim1Size(); ++i)
1025   - for(int j = 0; j < r.getDim2Size(); ++j)
1026   - {
1027   - if (isNAN(r[i][j]) || isNAN(b[j]))
1028   - r[i][j] << NotANumber();
1029   - else
1030   - r[i][j] *= b[j];
1031   - }
1032   - break;
1033   - default:
1034   - BOOST_THROW_EXCEPTION(
1035   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
1036   - }
1037   - return r;
  953 +AMDA::Parameters::Tab2DData<Type1> mult(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode) {
  954 + AMDA::Parameters::Tab2DData<Type1> r(a);
  955 +
  956 + switch (mode) {
  957 + case 1:
  958 + if (r.getDim1Size() != b.size()) {
  959 + BOOST_THROW_EXCEPTION(
  960 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  961 + }
  962 +
  963 + for (int i = 0; i < r.getDim1Size(); ++i)
  964 + for (int j = 0; j < r.getDim2Size(); ++j) {
  965 + if (isNAN(r[i][j]) || isNAN(b[i]))
  966 + r[i][j] << NotANumber();
  967 + else
  968 + r[i][j] *= b[i];
  969 + }
  970 + break;
  971 + case 2:
  972 + if (r.getDim2Size() != b.size()) {
  973 + BOOST_THROW_EXCEPTION(
  974 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  975 + }
  976 +
  977 + for (int i = 0; i < r.getDim1Size(); ++i)
  978 + for (int j = 0; j < r.getDim2Size(); ++j) {
  979 + if (isNAN(r[i][j]) || isNAN(b[j]))
  980 + r[i][j] << NotANumber();
  981 + else
  982 + r[i][j] *= b[j];
  983 + }
  984 + break;
  985 + default:
  986 + BOOST_THROW_EXCEPTION(
  987 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
  988 + }
  989 + return r;
1038 990 }
1039 991  
1040 992 template <typename Type1, typename Type2>
1041   -AMDA::Parameters::Tab2DData<Type2> mult(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode)
1042   -{
1043   - return mult(b,a,mode);
  993 +AMDA::Parameters::Tab2DData<Type2> mult(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode) {
  994 + return mult(b, a, mode);
1044 995 }
1045 996  
1046 997 /**
1047 998 * @brief Operator * between Tab2D and vector
1048 999 */
1049 1000 template <typename Type1, typename Type2>
1050   -AMDA::Parameters::Tab2DData<Type1> operator *(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b)
1051   -{
1052   - return mult(a,b,1);
  1001 +AMDA::Parameters::Tab2DData<Type1> operator*(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b) {
  1002 + return mult(a, b, 1);
1053 1003 }
1054 1004  
1055 1005 template <typename Type1, typename Type2>
1056   -AMDA::Parameters::Tab2DData<Type2> operator *(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b)
1057   -{
1058   - return mult(b,a,1);
  1006 +AMDA::Parameters::Tab2DData<Type2> operator*(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  1007 + return mult(b, a, 1);
1059 1008 }
1060 1009  
1061 1010 /**
1062 1011 * @brief Function div between Tab2D and vector
1063 1012 */
1064 1013 template <typename Type1, typename Type2>
1065   -AMDA::Parameters::Tab2DData<Type1> div(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode)
1066   -{
1067   - AMDA::Parameters::Tab2DData<Type1> r(a);
1068   -
1069   - switch (mode)
1070   - {
1071   - case 1 :
1072   - if (r.getDim1Size() != b.size()) {
1073   - BOOST_THROW_EXCEPTION(
1074   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1075   - }
1076   -
1077   - for(int i = 0; i < r.getDim1Size(); ++i)
1078   - for(int j = 0; j < r.getDim2Size(); ++j)
1079   - {
1080   - if (isNAN(r[i][j]) || isNAN(b[i]) || (b[i] == 0))
1081   - r[i][j] << NotANumber();
1082   - else
1083   - r[i][j] = r[i][j] / b[i];
1084   - }
1085   - break;
1086   - case 2 :
1087   - if (r.getDim2Size() != b.size()) {
1088   - BOOST_THROW_EXCEPTION(
1089   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1090   - }
1091   -
1092   - for(int i = 0; i < r.getDim1Size(); ++i)
1093   - for(int j = 0; j < r.getDim2Size(); ++j)
1094   - {
1095   - if (isNAN(r[i][j]) || isNAN(b[j]) || (b[j] == 0))
1096   - r[i][j] << NotANumber();
1097   - else
1098   - r[i][j] = r[i][j] / b[j];
1099   - }
1100   - break;
1101   - default:
1102   - BOOST_THROW_EXCEPTION(
1103   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
1104   - }
1105   - return r;
  1014 +AMDA::Parameters::Tab2DData<Type1> div(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b, int mode) {
  1015 + AMDA::Parameters::Tab2DData<Type1> r(a);
  1016 +
  1017 + switch (mode) {
  1018 + case 1:
  1019 + if (r.getDim1Size() != b.size()) {
  1020 + BOOST_THROW_EXCEPTION(
  1021 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1022 + }
  1023 +
  1024 + for (int i = 0; i < r.getDim1Size(); ++i)
  1025 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1026 + if (isNAN(r[i][j]) || isNAN(b[i]) || (b[i] == 0))
  1027 + r[i][j] << NotANumber();
  1028 + else
  1029 + r[i][j] = r[i][j] / b[i];
  1030 + }
  1031 + break;
  1032 + case 2:
  1033 + if (r.getDim2Size() != b.size()) {
  1034 + BOOST_THROW_EXCEPTION(
  1035 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1036 + }
  1037 +
  1038 + for (int i = 0; i < r.getDim1Size(); ++i)
  1039 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1040 + if (isNAN(r[i][j]) || isNAN(b[j]) || (b[j] == 0))
  1041 + r[i][j] << NotANumber();
  1042 + else
  1043 + r[i][j] = r[i][j] / b[j];
  1044 + }
  1045 + break;
  1046 + default:
  1047 + BOOST_THROW_EXCEPTION(
  1048 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
  1049 + }
  1050 + return r;
1106 1051 }
1107 1052  
1108 1053 template <typename Type1, typename Type2>
1109   -AMDA::Parameters::Tab2DData<Type2> div(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode)
1110   -{
1111   - AMDA::Parameters::Tab2DData<Type2> r(b);
1112   -
1113   - switch (mode)
1114   - {
1115   - case 1 :
1116   - if (r.getDim1Size() != a.size()) {
1117   - BOOST_THROW_EXCEPTION(
1118   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1119   - }
1120   -
1121   - for(int i = 0; i < r.getDim1Size(); ++i)
1122   - for(int j = 0; j < r.getDim2Size(); ++j)
1123   - {
1124   - if (isNAN(r[i][j]) || isNAN(a[i]) || (r[i][j] == 0))
1125   - r[i][j] << NotANumber();
1126   - else
1127   - r[i][j] = a[i] / r[i][j];
1128   - }
1129   - break;
1130   - case 2 :
1131   - if (r.getDim2Size() != a.size()) {
1132   - BOOST_THROW_EXCEPTION(
1133   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1134   - }
1135   -
1136   - for(int i = 0; i < r.getDim1Size(); ++i)
1137   - for(int j = 0; j < r.getDim2Size(); ++j)
1138   - {
1139   - if (isNAN(r[i][j]) || isNAN(a[j]) || (r[i][j] == 0))
1140   - r[i][j] << NotANumber();
1141   - else
1142   - r[i][j] = a[j] / r[i][j];
1143   - }
1144   - break;
1145   - default:
1146   - BOOST_THROW_EXCEPTION(
1147   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
1148   - }
1149   - return r;
  1054 +AMDA::Parameters::Tab2DData<Type2> div(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b, int mode) {
  1055 + AMDA::Parameters::Tab2DData<Type2> r(b);
  1056 +
  1057 + switch (mode) {
  1058 + case 1:
  1059 + if (r.getDim1Size() != a.size()) {
  1060 + BOOST_THROW_EXCEPTION(
  1061 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1062 + }
  1063 +
  1064 + for (int i = 0; i < r.getDim1Size(); ++i)
  1065 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1066 + if (isNAN(r[i][j]) || isNAN(a[i]) || (r[i][j] == 0))
  1067 + r[i][j] << NotANumber();
  1068 + else
  1069 + r[i][j] = a[i] / r[i][j];
  1070 + }
  1071 + break;
  1072 + case 2:
  1073 + if (r.getDim2Size() != a.size()) {
  1074 + BOOST_THROW_EXCEPTION(
  1075 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1076 + }
  1077 +
  1078 + for (int i = 0; i < r.getDim1Size(); ++i)
  1079 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1080 + if (isNAN(r[i][j]) || isNAN(a[j]) || (r[i][j] == 0))
  1081 + r[i][j] << NotANumber();
  1082 + else
  1083 + r[i][j] = a[j] / r[i][j];
  1084 + }
  1085 + break;
  1086 + default:
  1087 + BOOST_THROW_EXCEPTION(
  1088 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
  1089 + }
  1090 + return r;
1150 1091 }
1151 1092  
1152 1093 /**
1153 1094 * @brief Operator / between Tab2D and vector
1154 1095 */
1155 1096 template <typename Type1, typename Type2>
1156   -AMDA::Parameters::Tab2DData<Type1> operator /(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b)
1157   -{
1158   - return div(a,b,1);
  1097 +AMDA::Parameters::Tab2DData<Type1> operator/(const AMDA::Parameters::Tab2DData<Type1>& a, std::vector<Type2> b) {
  1098 + return div(a, b, 1);
1159 1099 }
1160 1100  
1161 1101 template <typename Type1, typename Type2>
1162   -AMDA::Parameters::Tab2DData<Type2> operator /(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b)
1163   -{
1164   - return div(b,a,1);
  1102 +AMDA::Parameters::Tab2DData<Type2> operator/(std::vector<Type1> a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  1103 + return div(b, a, 1);
1165 1104 }
1166 1105  
1167 1106 /**
1168 1107 * @brief Operator + between two Tab2D
1169 1108 */
1170 1109 template <typename Type1, typename Type2>
1171   -AMDA::Parameters::Tab2DData<Type1> operator +(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b)
1172   -{
1173   - if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
1174   - BOOST_THROW_EXCEPTION(
1175   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1176   - }
1177   -
1178   - AMDA::Parameters::Tab2DData<Type1> r(a);
1179   -
1180   - for(int i = 0; i < r.getDim1Size(); ++i)
1181   - for(int j = 0; j < r.getDim2Size(); ++j)
1182   - {
1183   - if (isNAN(a[i][j]) || isNAN(b[i][j]))
1184   - r[i][j] << NotANumber();
1185   - else
1186   - r[i][j] = a[i][j] + b[i][j];
1187   - }
  1110 +AMDA::Parameters::Tab2DData<Type1> operator+(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  1111 + if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
  1112 + BOOST_THROW_EXCEPTION(
  1113 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1114 + }
  1115 +
  1116 + AMDA::Parameters::Tab2DData<Type1> r(a);
  1117 +
  1118 + for (int i = 0; i < r.getDim1Size(); ++i)
  1119 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1120 + if (isNAN(a[i][j]) || isNAN(b[i][j]))
  1121 + r[i][j] << NotANumber();
  1122 + else
  1123 + r[i][j] = a[i][j] + b[i][j];
  1124 + }
1188 1125  
1189   - return r;
  1126 + return r;
1190 1127 }
1191 1128  
1192 1129 /**
1193 1130 * @brief Operator - between two Tab2D
1194 1131 */
1195 1132 template <typename Type1, typename Type2>
1196   -AMDA::Parameters::Tab2DData<Type1> operator -(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b)
1197   -{
1198   - if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
1199   - BOOST_THROW_EXCEPTION(
1200   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1201   - }
1202   -
1203   - AMDA::Parameters::Tab2DData<Type1> r(a);
1204   -
1205   - for(int i = 0; i < r.getDim1Size(); ++i)
1206   - for(int j = 0; j < r.getDim2Size(); ++j)
1207   - {
1208   - if (isNAN(a[i][j]) || isNAN(b[i][j]))
1209   - r[i][j] << NotANumber();
1210   - else
1211   - r[i][j] = a[i][j] - b[i][j];
1212   - }
1213   - return r;
  1133 +AMDA::Parameters::Tab2DData<Type1> operator-(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  1134 + if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
  1135 + BOOST_THROW_EXCEPTION(
  1136 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1137 + }
  1138 +
  1139 + AMDA::Parameters::Tab2DData<Type1> r(a);
  1140 +
  1141 + for (int i = 0; i < r.getDim1Size(); ++i)
  1142 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1143 + if (isNAN(a[i][j]) || isNAN(b[i][j]))
  1144 + r[i][j] << NotANumber();
  1145 + else
  1146 + r[i][j] = a[i][j] - b[i][j];
  1147 + }
  1148 + return r;
1214 1149 }
1215 1150  
1216 1151 /**
1217 1152 * @brief Operator * between two Tab2D
1218 1153 */
1219 1154 template <typename Type1, typename Type2>
1220   -AMDA::Parameters::Tab2DData<Type1> operator *(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b)
1221   -{
1222   - if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
1223   - BOOST_THROW_EXCEPTION(
1224   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1225   - }
1226   -
1227   - AMDA::Parameters::Tab2DData<Type1> r(a);
1228   -
1229   - for(int i = 0; i < r.getDim1Size(); ++i)
1230   - for(int j = 0; j < r.getDim2Size(); ++j)
1231   - {
1232   - if (isNAN(a[i][j]) || isNAN(b[i][j]))
1233   - r[i][j] << NotANumber();
1234   - else
1235   - r[i][j] = a[i][j] * b[i][j];
1236   - }
1237   - return r;
  1155 +AMDA::Parameters::Tab2DData<Type1> operator*(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  1156 + if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
  1157 + BOOST_THROW_EXCEPTION(
  1158 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1159 + }
  1160 +
  1161 + AMDA::Parameters::Tab2DData<Type1> r(a);
  1162 +
  1163 + for (int i = 0; i < r.getDim1Size(); ++i)
  1164 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1165 + if (isNAN(a[i][j]) || isNAN(b[i][j]))
  1166 + r[i][j] << NotANumber();
  1167 + else
  1168 + r[i][j] = a[i][j] * b[i][j];
  1169 + }
  1170 + return r;
1238 1171 }
1239 1172  
1240 1173 /**
1241 1174 * @brief Operator + between two Tab2D
1242 1175 */
1243 1176 template <typename Type1, typename Type2>
1244   -AMDA::Parameters::Tab2DData<Type1> operator /(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b)
1245   -{
1246   - if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
1247   - BOOST_THROW_EXCEPTION(
1248   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
1249   - }
1250   -
1251   - AMDA::Parameters::Tab2DData<Type1> r(a);
1252   -
1253   - for(int i = 0; i < r.getDim1Size(); ++i)
1254   - for(int j = 0; j < r.getDim2Size(); ++j)
1255   - {
1256   - if (isNAN(a[i][j]) || isNAN(b[i][j]) || (b[i][j] == 0))
1257   - r[i][j] << NotANumber();
1258   - else
1259   - r[i][j] = a[i][j] / b[i][j];
1260   - }
1261   - return r;
  1177 +AMDA::Parameters::Tab2DData<Type1> operator/(const AMDA::Parameters::Tab2DData<Type1>& a, const AMDA::Parameters::Tab2DData<Type2>& b) {
  1178 + if ((a.getDim1Size() != b.getDim1Size()) || (a.getDim2Size() != b.getDim2Size())) {
  1179 + BOOST_THROW_EXCEPTION(
  1180 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due to incompatibility in data dimensions"));
  1181 + }
  1182 +
  1183 + AMDA::Parameters::Tab2DData<Type1> r(a);
  1184 +
  1185 + for (int i = 0; i < r.getDim1Size(); ++i)
  1186 + for (int j = 0; j < r.getDim2Size(); ++j) {
  1187 + if (isNAN(a[i][j]) || isNAN(b[i][j]) || (b[i][j] == 0))
  1188 + r[i][j] << NotANumber();
  1189 + else
  1190 + r[i][j] = a[i][j] / b[i][j];
  1191 + }
  1192 + return r;
1262 1193 }
1263 1194  
1264 1195 /**
1265 1196 * @brief Function total on all components of a vector => result is a scalar
1266 1197 */
1267 1198 template <typename Type>
1268   -Type total(const std::vector<Type>& a)
1269   -{
1270   - Type sum;
1271   - sum << NotANumber();
1272   -
1273   - for(int j = 0; j < a.size(); ++j)
1274   - {
1275   - if (isFinite(a[j]))
1276   - {
1277   - if (isNAN(sum))
1278   - sum = a[j];
1279   - else
1280   - sum += a[j];
1281   - }
1282   - }
1283   - return sum;
  1199 +Type total(const std::vector<Type>& a) {
  1200 + Type sum;
  1201 + sum << NotANumber();
  1202 +
  1203 + for (int j = 0; j < a.size(); ++j) {
  1204 + if (isFinite(a[j])) {
  1205 + if (isNAN(sum))
  1206 + sum = a[j];
  1207 + else
  1208 + sum += a[j];
  1209 + }
  1210 + }
  1211 + return sum;
1284 1212 }
1285 1213  
1286 1214 /**
1287 1215 * @brief Function total on all components of a Tab2D => result is a scalar
1288 1216 */
1289 1217 template <typename Type>
1290   -Type total(const AMDA::Parameters::Tab2DData<Type>& a)
1291   -{
1292   - Type sum;
1293   - sum << NotANumber();
1294   -
1295   - for(int i = 0; i < a.getDim1Size(); ++i)
1296   - for(int j = 0; j < a.getDim2Size(); ++j)
1297   - {
1298   - if (isFinite(a[i][j]))
1299   - {
1300   - if (isNAN(sum))
1301   - sum = a[i][j];
1302   - else
1303   - sum += a[i][j];
1304   - }
1305   - }
1306   - return sum;
  1218 +Type total(const AMDA::Parameters::Tab2DData<Type>& a) {
  1219 + Type sum;
  1220 + sum << NotANumber();
  1221 +
  1222 + for (int i = 0; i < a.getDim1Size(); ++i)
  1223 + for (int j = 0; j < a.getDim2Size(); ++j) {
  1224 + if (isFinite(a[i][j])) {
  1225 + if (isNAN(sum))
  1226 + sum = a[i][j];
  1227 + else
  1228 + sum += a[i][j];
  1229 + }
  1230 + }
  1231 + return sum;
1307 1232 }
1308 1233  
1309 1234 /**
... ... @@ -1312,131 +1237,122 @@ Type total(const AMDA::Parameters::Tab2DData&lt;Type&gt;&amp; a)
1312 1237 * mode = 2 => sum on columns
1313 1238 */
1314 1239 template <typename Type>
1315   -std::vector<Type> total(const AMDA::Parameters::Tab2DData<Type>& a,int mode)
1316   -{
1317   - std::vector<Type> sum;
1318   -
1319   - switch (mode)
1320   - {
1321   - case 1 :
1322   - for(int j = 0; j < a.getDim2Size(); ++j)
1323   - {
1324   - Type elem;
1325   - elem << NotANumber();
1326   - for(int i = 0; i < a.getDim1Size(); ++i)
1327   - {
1328   - if (isFinite(a[i][j]))
1329   - {
1330   - if (isNAN(elem))
1331   - elem = a[i][j];
1332   - else
1333   - elem += a[i][j];
1334   - }
1335   - }
1336   - sum.push_back(elem);
1337   - }
1338   - break;
1339   - case 2 :
1340   - for(int i = 0; i < a.getDim1Size(); ++i)
1341   - {
1342   - Type elem;
1343   - elem << NotANumber();
1344   - for(int j = 0; j < a.getDim2Size(); ++j)
1345   - {
1346   - if (isFinite(a[i][j]))
1347   - {
1348   - if (isNAN(elem))
1349   - elem = a[i][j];
1350   - else
1351   - elem += a[i][j];
1352   - }
1353   - }
1354   - sum.push_back(elem);
1355   - }
1356   - break;
1357   - default:
1358   - BOOST_THROW_EXCEPTION(
1359   - AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
1360   - }
1361   -
1362   - return sum;
  1240 +std::vector<Type> total(const AMDA::Parameters::Tab2DData<Type>& a, int mode) {
  1241 + std::vector<Type> sum;
  1242 +
  1243 + switch (mode) {
  1244 + case 1:
  1245 + for (int j = 0; j < a.getDim2Size(); ++j) {
  1246 + Type elem;
  1247 + elem << NotANumber();
  1248 + for (int i = 0; i < a.getDim1Size(); ++i) {
  1249 + if (isFinite(a[i][j])) {
  1250 + if (isNAN(elem))
  1251 + elem = a[i][j];
  1252 + else
  1253 + elem += a[i][j];
  1254 + }
  1255 + }
  1256 + sum.push_back(elem);
  1257 + }
  1258 + break;
  1259 + case 2:
  1260 + for (int i = 0; i < a.getDim1Size(); ++i) {
  1261 + Type elem;
  1262 + elem << NotANumber();
  1263 + for (int j = 0; j < a.getDim2Size(); ++j) {
  1264 + if (isFinite(a[i][j])) {
  1265 + if (isNAN(elem))
  1266 + elem = a[i][j];
  1267 + else
  1268 + elem += a[i][j];
  1269 + }
  1270 + }
  1271 + sum.push_back(elem);
  1272 + }
  1273 + break;
  1274 + default:
  1275 + BOOST_THROW_EXCEPTION(
  1276 + AMDA::AMDA_exception() << AMDA::errno_code(AMDA_OPER_NOT_ALLOWED) << AMDA::ex_msg("Operation not allowed due a not implemented mode"));
  1277 + }
  1278 +
  1279 + return sum;
1363 1280 }
1364 1281  
1365   -
1366 1282 template <typename Type1, typename Type2>
1367   -std::vector<Type1> operator +(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1368   - std::vector<Type1> av(a);
1369   - std::vector<Type1> bv(b);
1370   - return av+bv;
  1283 +std::vector<Type1> operator+(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1284 + std::vector<Type1> av(a);
  1285 + std::vector<Type1> bv(b);
  1286 + return av + bv;
1371 1287 }
1372 1288  
1373 1289 template <typename Type1, typename Type2>
1374   -std::vector<Type1> operator +(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1375   - std::vector<Type2> bv(b);
1376   - return a+bv;
  1290 +std::vector<Type1> operator+(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1291 + std::vector<Type2> bv(b);
  1292 + return a + bv;
1377 1293 }
1378 1294  
1379 1295 template <typename Type1, typename Type2>
1380   -std::vector<Type1> operator +(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
1381   - std::vector<Type1> av(a);
1382   - return av+b;
  1296 +std::vector<Type1> operator+(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
  1297 + std::vector<Type1> av(a);
  1298 + return av + b;
1383 1299 }
1384 1300  
1385 1301 template <typename Type1, typename Type2>
1386   -std::vector<Type1> operator *(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1387   - std::vector<Type1> av(a);
1388   - std::vector<Type1> bv(b);
1389   - return av*bv;
  1302 +std::vector<Type1> operator*(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1303 + std::vector<Type1> av(a);
  1304 + std::vector<Type1> bv(b);
  1305 + return av*bv;
1390 1306 }
1391 1307  
1392 1308 template <typename Type1, typename Type2>
1393   -std::vector<Type1> operator *(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1394   - std::vector<Type2> bv(b);
1395   - return a*bv;
  1309 +std::vector<Type1> operator*(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1310 + std::vector<Type2> bv(b);
  1311 + return a*bv;
1396 1312 }
1397 1313  
1398 1314 template <typename Type1, typename Type2>
1399   -std::vector<Type1> operator *(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
1400   - std::vector<Type1> av(a);
1401   - return av*b;
  1315 +std::vector<Type1> operator*(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
  1316 + std::vector<Type1> av(a);
  1317 + return av*b;
1402 1318 }
1403 1319  
1404 1320 template <typename Type1, typename Type2>
1405   -std::vector<Type1> operator -(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1406   - std::vector<Type1> av(a);
1407   - std::vector<Type1> bv(b);
1408   - return av-bv;
  1321 +std::vector<Type1> operator-(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1322 + std::vector<Type1> av(a);
  1323 + std::vector<Type1> bv(b);
  1324 + return av - bv;
1409 1325 }
1410 1326  
1411 1327 template <typename Type1, typename Type2>
1412   -std::vector<Type1> operator -(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1413   - std::vector<Type2> bv(b);
1414   - return a-bv;
  1328 +std::vector<Type1> operator-(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1329 + std::vector<Type2> bv(b);
  1330 + return a - bv;
1415 1331 }
1416 1332  
1417 1333 template <typename Type1, typename Type2>
1418   -std::vector<Type1> operator -(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
1419   - std::vector<Type1> av(a);
1420   - return av-b;
  1334 +std::vector<Type1> operator-(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
  1335 + std::vector<Type1> av(a);
  1336 + return av - b;
1421 1337 }
1422 1338  
1423 1339 template <typename Type1, typename Type2>
1424   -std::vector<Type1> operator /(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1425   - std::vector<Type1> av(a);
1426   - std::vector<Type1> bv(b);
1427   - return av/bv;
  1340 +std::vector<Type1> operator/(AMDA::Parameters::TabRow<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1341 + std::vector<Type1> av(a);
  1342 + std::vector<Type1> bv(b);
  1343 + return av / bv;
1428 1344 }
1429 1345  
1430 1346 template <typename Type1, typename Type2>
1431   -std::vector<Type1> operator /(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
1432   - std::vector<Type2> bv(b);
1433   - return a/bv;
  1347 +std::vector<Type1> operator/(std::vector<Type1> a, AMDA::Parameters::TabRow<Type2> b) {
  1348 + std::vector<Type2> bv(b);
  1349 + return a / bv;
1434 1350 }
1435 1351  
1436 1352 template <typename Type1, typename Type2>
1437   -std::vector<Type1> operator /(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
1438   - std::vector<Type1> av(a);
1439   - return av/b;
  1353 +std::vector<Type1> operator/(AMDA::Parameters::TabRow<Type1> a, std::vector<Type2> b) {
  1354 + std::vector<Type1> av(a);
  1355 + return av / b;
1440 1356 }
1441 1357  
1442 1358 #endif /* LOGICALDATATYPE_HH_ */
... ...
src/Parameters/StatisticData.hh
  Diff comments   View file @7a41b54
... ... @@ -36,7 +36,7 @@ void pushStatisticDataInVectorString(std::vector&lt;std::string&gt; &amp;result, std::vect
36 36 //push coverage
37 37 if (isCoverageIndependantOfResultType && (coverage.size() >= 1))
38 38 return;
39   - double c = (double)data._nbDataProcessed / (double)ideal;
  39 + double c = (double)data._nbDataProcessed / ((double)ideal+1);
40 40 if (c < 0.)
41 41 c = 0.;
42 42 if (c > 1.)
... ...
test/FitNesseRoot/ReleaseS/SecondPart/ReLease1/SprinT2/UserStory43/.txt
  Diff comments   View file @7a41b54
1 1 # Union between ;
2 2 # Name: ;
3 3 # Historic: ;
4   -# Creation Date: 2018-06-06T12:19:56;
  4 +# Creation Date: 2020-02-24T14:22:26;
5 5  
... ...
test/data/functions.xml
  Diff comments   View file @7a41b54
... ... @@ -92,6 +92,17 @@
92 92 <info_brief>Cross product</info_brief>
93 93 <new_kernel>cross</new_kernel>
94 94 </function>
  95 +
  96 + <function name="angle(,)" args="2" kind="vectors">
  97 + <info_brief>Angle between two vectors</info_brief>
  98 + <new_kernel>angle</new_kernel>
  99 + </function>
  100 +
  101 + <function name="magnitude_(,)" args="2" kind="vectors">
  102 + <info_brief>magnitude of a vector</info_brief>
  103 + <new_kernel>magnitude</new_kernel>
  104 + </function>
  105 +
95 106 <function name="dot(,)" args="2" kind="vectors">
96 107 <info_brief>Dot product</info_brief>
97 108 <new_kernel>dot</new_kernel>
... ...