1 /* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
2 /*
3  * This file is part of the LibreOffice project.
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7  * file, You can obtain one at http://mozilla.org/MPL/2.0/.
8  *
9  * This file incorporates work covered by the following license notice:
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14  *   ownership. The ASF licenses this file to you under the Apache
15  *   License, Version 2.0 (the "License"); you may not use this file
16  *   except in compliance with the License. You may obtain a copy of
17  *   the License at http://www.apache.org/licenses/LICENSE-2.0 .
18  */
19 #pragma once
20 
21 #include <com/sun/star/uno/Sequence.hxx>
22 
23 #include <cmath>
24 #include <utility>
25 #include <vector>
26 
27 namespace chart::RegressionCalculationHelper
28 {
29 
30 typedef std::pair< std::vector< double >, std::vector< double > > tDoubleVectorPair;
31 
32 /** takes the given x- and y-values and copies them into the resulting pair,
33     which contains x-values in the first element and the y-values in the second
34     one.  All tuples for which aPred is false are not copied.
35 
36     <p>The function below provide a set of useful predicates that can be
37     used to pass as parameter aPred.</p>
38  */
39 template< class Pred >
40 tDoubleVectorPair
cleanup(const css::uno::Sequence<double> & rXValues,const css::uno::Sequence<double> & rYValues,Pred aPred)41     cleanup( const css::uno::Sequence< double > & rXValues,
42              const css::uno::Sequence< double > & rYValues,
43              Pred aPred )
44 {
45     tDoubleVectorPair aResult;
46     sal_Int32 nSize = std::min( rXValues.getLength(), rYValues.getLength());
47     for( sal_Int32 i=0; i<nSize; ++i )
48     {
49         if( aPred( rXValues[i], rYValues[i] ))
50         {
51             aResult.first.push_back( rXValues[i] );
52             aResult.second.push_back( rYValues[i] );
53         }
54     }
55 
56     return aResult;
57 }
58 
59 class isValid
60 {
61 public:
operator ()(double x,double y)62     bool operator()( double x, double y )
63     { return ! ( std::isnan( x ) ||
64                  std::isnan( y ) ||
65                  std::isinf( x ) ||
66                  std::isinf( y ) );
67     }
68 };
69 
70 class isValidAndXPositive
71 {
72 public:
operator ()(double x,double y)73     bool operator()( double x, double y )
74     { return ! ( std::isnan( x ) ||
75                  std::isnan( y ) ||
76                  std::isinf( x ) ||
77                  std::isinf( y ) ||
78                  x <= 0.0 );
79     }
80 };
81 
82 class isValidAndYPositive
83 {
84 public:
operator ()(double x,double y)85     bool operator()( double x, double y )
86     { return ! ( std::isnan( x ) ||
87                  std::isnan( y ) ||
88                  std::isinf( x ) ||
89                  std::isinf( y ) ||
90                  y <= 0.0 );
91     }
92 };
93 
94 class isValidAndYNegative
95 {
96 public:
operator ()(double x,double y)97     bool operator()( double x, double y )
98     { return ! ( std::isnan( x ) ||
99                  std::isnan( y ) ||
100                  std::isinf( x ) ||
101                  std::isinf( y ) ||
102                  y >= 0.0 );
103     }
104 };
105 
106 class isValidAndBothPositive
107 {
108 public:
operator ()(double x,double y)109     bool operator()( double x, double y )
110     { return ! ( std::isnan( x ) ||
111                  std::isnan( y ) ||
112                  std::isinf( x ) ||
113                  std::isinf( y ) ||
114                  x <= 0.0 ||
115                  y <= 0.0 );
116     }
117 };
118 
119 class isValidAndXPositiveAndYNegative
120 {
121 public:
operator ()(double x,double y)122     bool operator()( double x, double y )
123     { return ! ( std::isnan( x ) ||
124                  std::isnan( y ) ||
125                  std::isinf( x ) ||
126                  std::isinf( y ) ||
127                  x <= 0.0 ||
128                  y >= 0.0 );
129     }
130 };
131 
132 } //  namespace chart::RegressionCalculationHelper
133 
134 /* vim:set shiftwidth=4 softtabstop=4 expandtab: */
135