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LibreOffice
core
Commits
230524a3
Kaydet (Commit)
230524a3
authored
Agu 24, 2013
tarafından
Tomaž Vajngerl
Dosyalara gözat
Seçenekler
Dosyalara Gözat
İndir
Eposta Yamaları
Sade Fark
Forgotten one SAL_CALL in AgileDocumentHandler
Change-Id: I28ad4fe77c9c8474f4f650e9ea5ab309be307fb5
üst
7ee7a126
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2 changed files
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-1
PolynomialRegressionCurveCalculator2.cxx
chart2/source/tools/PolynomialRegressionCurveCalculator2.cxx
+264
-0
DocumentDecryption.cxx
oox/source/crypto/DocumentDecryption.cxx
+1
-1
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chart2/source/tools/PolynomialRegressionCurveCalculator2.cxx
0 → 100644
Dosyayı görüntüle @
230524a3
/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
* This file is part of the LibreOffice project.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* This file incorporates work covered by the following license notice:
*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed
* with this work for additional information regarding copyright
* ownership. The ASF licenses this file to you under the Apache
* License, Version 2.0 (the "License"); you may not use this file
* except in compliance with the License. You may obtain a copy of
* the License at http://www.apache.org/licenses/LICENSE-2.0 .
*/
#include "PolynomialRegressionCurveCalculator.hxx"
#include "macros.hxx"
#include "RegressionCalculationHelper.hxx"
#include <cmath>
#include <rtl/math.hxx>
#include <rtl/ustrbuf.hxx>
using
namespace
com
::
sun
::
star
;
namespace
chart
{
PolynomialRegressionCurveCalculator
::
PolynomialRegressionCurveCalculator
()
{}
PolynomialRegressionCurveCalculator
::~
PolynomialRegressionCurveCalculator
()
{}
// ____ XRegressionCurveCalculator ____
void
SAL_CALL
PolynomialRegressionCurveCalculator
::
recalculateRegression
(
const
uno
::
Sequence
<
double
>&
aXValues
,
const
uno
::
Sequence
<
double
>&
aYValues
)
throw
(
uno
::
RuntimeException
)
{
rtl
::
math
::
setNan
(
&
m_fCorrelationCoeffitient
);
RegressionCalculationHelper
::
tDoubleVectorPair
aValues
(
RegressionCalculationHelper
::
cleanup
(
aXValues
,
aYValues
,
RegressionCalculationHelper
::
isValid
()));
const
size_t
aNoValues
=
aValues
.
first
.
size
();
std
::
vector
<
sal_Int32
>
aDegrees
;
printf
(
"%d
\n
"
,
mDegree
);
for
(
sal_Int32
i
=
0
;
i
<
mDegree
+
1
;
i
++
)
{
aDegrees
.
push_back
(
i
);
}
float_50
yAverage
=
0.0
;
std
::
vector
<
float_50
>
aTransposedMatrix
;
aTransposedMatrix
.
resize
(
aNoValues
*
aDegrees
.
size
(),
0.0
);
std
::
vector
<
float_50
>
yVector
;
yVector
.
resize
(
aNoValues
,
0.0
);
for
(
size_t
i
=
0
;
i
<
aNoValues
;
i
++
)
{
float_50
x
=
aValues
.
first
[
i
];
float_50
y
=
aValues
.
second
[
i
];
yVector
[
i
]
=
y
;
yAverage
+=
y
;
for
(
size_t
j
=
0
;
j
<
aDegrees
.
size
();
j
++
)
{
aTransposedMatrix
[
i
+
j
*
aNoValues
]
=
boost
::
multiprecision
::
pow
((
float_50
)
x
,
aDegrees
[
j
]);
}
}
yAverage
/=
aNoValues
;
sal_Int32
m
=
aNoValues
;
sal_Int32
n
=
aDegrees
.
size
();
sal_Int32
minorSize
=
std
::
min
(
m
,
n
);
std
::
vector
<
float_50
>
rDiag
;
rDiag
.
resize
(
minorSize
,
0.0
);
for
(
sal_Int32
minor
=
0
;
minor
<
minorSize
;
minor
++
)
{
float_50
xNormSqr
=
0.0
;
for
(
sal_Int32
row
=
minor
;
row
<
m
;
row
++
)
{
float_50
c
=
aTransposedMatrix
[
row
+
minor
*
aNoValues
];
xNormSqr
+=
c
*
c
;
}
float_50
a
=
0.0
;
if
(
aTransposedMatrix
[
minor
+
minor
*
aNoValues
]
>
0.0
)
a
=
-
boost
::
multiprecision
::
sqrt
(
xNormSqr
);
else
a
=
boost
::
multiprecision
::
sqrt
(
xNormSqr
);
rDiag
[
minor
]
=
a
;
if
(
a
!=
0.0
)
{
aTransposedMatrix
[
minor
+
minor
*
aNoValues
]
-=
a
;
for
(
sal_Int32
col
=
minor
+
1
;
col
<
n
;
col
++
)
{
float_50
alpha
=
0
;
for
(
sal_Int32
row
=
minor
;
row
<
m
;
row
++
)
{
alpha
-=
aTransposedMatrix
[
row
+
col
*
aNoValues
]
*
aTransposedMatrix
[
row
+
minor
*
aNoValues
];
}
alpha
/=
a
*
aTransposedMatrix
[
minor
+
minor
*
aNoValues
];
for
(
sal_Int32
row
=
minor
;
row
<
m
;
row
++
)
{
aTransposedMatrix
[
row
+
col
*
aNoValues
]
-=
alpha
*
aTransposedMatrix
[
row
+
minor
*
aNoValues
];
}
}
}
}
// apply Householder transforms to solve Q.y = b
for
(
sal_Int32
minor
=
0
;
minor
<
minorSize
;
minor
++
)
{
float_50
dotProduct
=
0
;
for
(
sal_Int32
row
=
minor
;
row
<
m
;
row
++
)
{
dotProduct
+=
yVector
[
row
]
*
aTransposedMatrix
[
row
+
minor
*
aNoValues
];
}
dotProduct
/=
rDiag
[
minor
]
*
aTransposedMatrix
[
minor
+
minor
*
aNoValues
];
for
(
sal_Int32
row
=
minor
;
row
<
m
;
row
++
)
{
yVector
[
row
]
+=
dotProduct
*
aTransposedMatrix
[
row
+
minor
*
aNoValues
];
}
}
mResult
.
clear
();
mResult
.
resize
(
n
,
(
float_50
)
0.0
);
// solve triangular system R.x = y
for
(
sal_Int32
row
=
rDiag
.
size
()
-
1
;
row
>=
0
;
--
row
)
{
yVector
[
row
]
/=
rDiag
[
row
];
float_50
yRow
=
yVector
[
row
];
mResult
[
row
]
=
yRow
;
for
(
sal_Int32
i
=
0
;
i
<
row
;
i
++
)
{
yVector
[
i
]
-=
yRow
*
aTransposedMatrix
[
i
+
row
*
aNoValues
];
}
}
// Calculate correlation coeffitient
float_50
aSumError
=
0.0
;
float_50
aSumTotal
=
0.0
;
for
(
size_t
i
=
0
;
i
<
aNoValues
;
++
i
)
{
float_50
x
=
aValues
.
first
[
i
];
float_50
yActual
=
aValues
.
second
[
i
];
float_50
yPredicted
=
getCurveValue
(
(
double
)
x
);
aSumTotal
+=
(
yActual
-
yAverage
)
*
(
yActual
-
yAverage
);
aSumError
+=
(
yActual
-
yPredicted
)
*
(
yActual
-
yPredicted
);
}
float_50
aRSquared
=
1.0
-
(
aSumError
/
aSumTotal
);
if
(
aRSquared
>
0.0
)
aRSquared
=
boost
::
multiprecision
::
sqrt
(
aRSquared
);
else
aRSquared
=
0.0
;
m_fCorrelationCoeffitient
=
(
double
)
aRSquared
;
}
double
SAL_CALL
PolynomialRegressionCurveCalculator
::
getCurveValue
(
double
x
)
throw
(
lang
::
IllegalArgumentException
,
uno
::
RuntimeException
)
{
double
fResult
;
rtl
::
math
::
setNan
(
&
fResult
);
if
(
mResult
.
empty
())
{
return
fResult
;
}
float_50
m
=
0.0
;
float_50
aa
;
for
(
size_t
i
=
0
;
i
<
mResult
.
size
();
i
++
)
{
aa
=
boost
::
multiprecision
::
pow
((
float_50
)
x
,
i
);
aa
=
aa
*
mResult
[
i
];
m
+=
aa
;
}
fResult
=
(
double
)
m
;
return
fResult
;
}
uno
::
Sequence
<
geometry
::
RealPoint2D
>
SAL_CALL
PolynomialRegressionCurveCalculator
::
getCurveValues
(
double
min
,
double
max
,
sal_Int32
nPointCount
,
const
uno
::
Reference
<
chart2
::
XScaling
>&
xScalingX
,
const
uno
::
Reference
<
chart2
::
XScaling
>&
xScalingY
,
sal_Bool
bMaySkipPointsInCalculation
)
throw
(
lang
::
IllegalArgumentException
,
uno
::
RuntimeException
)
{
return
RegressionCurveCalculator
::
getCurveValues
(
min
,
max
,
nPointCount
,
xScalingX
,
xScalingY
,
bMaySkipPointsInCalculation
);
}
OUString
PolynomialRegressionCurveCalculator
::
ImplGetRepresentation
(
const
uno
::
Reference
<
util
::
XNumberFormatter
>&
xNumFormatter
,
sal_Int32
nNumberFormatKey
)
const
{
OUStringBuffer
aBuf
(
"f(x) = "
);
sal_Int32
aLastIndex
=
mResult
.
size
()
-
1
;
for
(
sal_Int32
i
=
aLastIndex
;
i
>=
0
;
i
--
)
{
double
aValue
=
(
double
)
mResult
[
i
];
if
(
aValue
==
0.0
)
{
continue
;
}
else
if
(
aValue
<
0.0
)
{
aBuf
.
appendAscii
(
" - "
);
}
else
{
if
(
i
!=
aLastIndex
)
aBuf
.
appendAscii
(
" + "
);
}
aBuf
.
append
(
getFormattedString
(
xNumFormatter
,
nNumberFormatKey
,
std
::
abs
(
aValue
)
)
);
if
(
i
>
0
)
{
if
(
i
==
1
)
{
aBuf
.
appendAscii
(
"x"
);
}
else
{
aBuf
.
appendAscii
(
"x^"
);
aBuf
.
append
(
i
);
}
}
}
return
aBuf
.
makeStringAndClear
();
}
}
// namespace chart
/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
oox/source/crypto/DocumentDecryption.cxx
Dosyayı görüntüle @
230524a3
...
...
@@ -78,7 +78,7 @@ public:
void
SAL_CALL
startDocument
()
throw
(
RuntimeException
,
SAXException
)
{}
void
endDocument
()
void
SAL_CALL
endDocument
()
throw
(
RuntimeException
,
SAXException
)
{}
void
SAL_CALL
setDocumentLocator
(
const
Reference
<
XLocator
>&
/*xLocator*/
)
...
...
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