/*
* This file is part of the GROMACS molecular simulation package.
*
- * Copyright (c) 2010,2011,2012,2013, by the GROMACS development team, led by
+ * Copyright (c) 2010,2011,2012,2013,2014, by the GROMACS development team, led by
* Mark Abraham, David van der Spoel, Berk Hess, and Erik Lindahl,
* and including many others, as listed in the AUTHORS file in the
* top-level source directory and at http://www.gromacs.org.
{
AbstractAnalysisArrayData::AbstractAnalysisArrayData()
- : rowCount_(0), pointSetInfo_(0, 0, 0, 0), xstart_(0.0), xstep_(1.0),
- bReady_(false)
+ : rowCount_(0), pointSetInfo_(0, 0, 0, 0), xstep_(1.0),
+ bUniformX_(true), bReady_(false)
{
+ xvalue_.push_back(0);
}
AbstractAnalysisArrayData::~AbstractAnalysisArrayData()
GMX_RELEASE_ASSERT(rowCount > 0, "Invalid number of rows");
GMX_RELEASE_ASSERT(!isAllocated(),
"Cannot change row count after data has been allocated");
+ GMX_RELEASE_ASSERT(bUniformX_ || rowCount_ == 0
+ || rowCount == static_cast<int>(xvalue_.size()),
+ "X axis set with setXAxisValue() does not match the row count");
+ xvalue_.resize(rowCount);
+ if (bUniformX_ && rowCount > rowCount_)
+ {
+ for (int i = rowCount_; i < rowCount; ++i)
+ {
+ xvalue_[i] = xvalue_[0] + i * xstep_;
+ }
+ }
rowCount_ = rowCount;
}
AbstractAnalysisArrayData::setXAxis(real start, real step)
{
GMX_RELEASE_ASSERT(!bReady_, "X axis cannot be set after data is finished");
- xstart_ = start;
- xstep_ = step;
+ xvalue_[0] = start;
+ xstep_ = step;
+ bUniformX_ = true;
+ for (int i = 0; i < rowCount_; ++i)
+ {
+ xvalue_[i] = start + i * xstep_;
+ }
+}
+
+
+void
+AbstractAnalysisArrayData::setXAxisValue(int row, real value)
+{
+ GMX_RELEASE_ASSERT(!bReady_, "X axis cannot be set after data is finished");
+ if (rowCount_ > 0)
+ {
+ GMX_RELEASE_ASSERT(row >= 0 && row < rowCount(), "Row index out of range");
+ }
+ else if (row >= static_cast<int>(xvalue_.size()))
+ {
+ xvalue_.resize(row + 1);
+ }
+ bUniformX_ = false;
+ xstep_ = 0.0;
+ xvalue_[row] = value;
}
dest->setColumnCount(src->columnCount());
dest->setRowCount(src->rowCount());
dest->allocateValues();
- dest->setXAxis(src->xstart(), src->xstep());
+ dest->xstep_ = src->xstep_;
+ dest->bUniformX_ = src->bUniformX_;
+ std::copy(src->xvalue_.begin(), src->xvalue_.end(), dest->xvalue_.begin());
std::copy(src->value_.begin(), src->value_.end(), dest->value_.begin());
}
/*
* This file is part of the GROMACS molecular simulation package.
*
- * Copyright (c) 2010,2011,2012,2013, by the GROMACS development team, led by
+ * Copyright (c) 2010,2011,2012,2013,2014, by the GROMACS development team, led by
* Mark Abraham, David van der Spoel, Berk Hess, and Erik Lindahl,
* and including many others, as listed in the AUTHORS file in the
* top-level source directory and at http://www.gromacs.org.
//! Returns true if values have been allocated.
bool isAllocated() const { return !value_.empty(); }
//! Returns the x value of the first frame.
- real xstart() const { return xstart_; }
+ real xstart() const { return xvalue_[0]; }
//! Returns the step between frame x values.
- real xstep() const { return xstep_; }
+ real xstep() const
+ {
+ GMX_ASSERT(bUniformX_, "Accessing x step for non-uniform data");
+ return xstep_;
+ }
//! Returns the x value of a row.
real xvalue(int row) const
{
GMX_ASSERT(row >= 0 && row < rowCount(), "Row index out of range");
- return xstart() + row * xstep();
+ return xvalue_[row];
}
//! Returns a given array element.
const AnalysisDataValue &value(int row, int col) const
* \param[in] step Step between x values of successive frames.
*
* Must not be called after valuesReady().
+ * Any values set with setXAxisValue() are overwritten.
*
* Does not throw.
*/
void setXAxis(real start, real step);
+ /*! \brief
+ * Sets a single value reported as x value for frames.
+ *
+ * \param[in] row Row/frame for which to set the value.
+ * \param[in] value x value for the frame specified by \p row.
+ *
+ * Must not be called after valuesReady().
+ *
+ * Does not throw.
+ */
+ void setXAxisValue(int row, real value);
//! Returns a reference to a given array element.
AnalysisDataValue &value(int row, int col)
{
int rowCount_;
AnalysisDataPointSetInfo pointSetInfo_;
std::vector<AnalysisDataValue> value_;
- real xstart_;
+ std::vector<real> xvalue_;
real xstep_;
+ bool bUniformX_;
bool bReady_;
// Copy and assign disallowed by base.
using AbstractAnalysisArrayData::setRowCount;
using AbstractAnalysisArrayData::allocateValues;
using AbstractAnalysisArrayData::setXAxis;
+ using AbstractAnalysisArrayData::setXAxisValue;
using AbstractAnalysisArrayData::value;
using AbstractAnalysisArrayData::valuesReady;
/*
* This file is part of the GROMACS molecular simulation package.
*
- * Copyright (c) 2010,2011,2012,2013, by the GROMACS development team, led by
+ * Copyright (c) 2010,2011,2012,2013,2014, by the GROMACS development team, led by
* Mark Abraham, David van der Spoel, Berk Hess, and Erik Lindahl,
* and including many others, as listed in the AUTHORS file in the
* top-level source directory and at http://www.gromacs.org.
virtual ~AnalysisDataAverageModule();
using AbstractAnalysisArrayData::setXAxis;
+ using AbstractAnalysisArrayData::setXAxisValue;
/*! \brief
* Sets the averaging to happen over entire data sets.
ASSERT_NO_THROW_GMX(data.valuesReady());
}
+TEST_F(AnalysisArrayDataTest, CanSetXAxis)
+{
+ gmx::AnalysisArrayData data;
+ data.setRowCount(5);
+ data.setXAxis(1.0, 1.0);
+ EXPECT_FLOAT_EQ(1.0, data.xvalue(0));
+ EXPECT_FLOAT_EQ(3.0, data.xvalue(2));
+ EXPECT_FLOAT_EQ(5.0, data.xvalue(4));
+ data.setXAxisValue(0, 3.0);
+ data.setXAxisValue(2, 1.0);
+ EXPECT_FLOAT_EQ(3.0, data.xvalue(0));
+ EXPECT_FLOAT_EQ(2.0, data.xvalue(1));
+ EXPECT_FLOAT_EQ(1.0, data.xvalue(2));
+ EXPECT_FLOAT_EQ(4.0, data.xvalue(3));
+}
+
+TEST_F(AnalysisArrayDataTest, CanSetXAxisBeforeRowCount)
+{
+ {
+ gmx::AnalysisArrayData data;
+ data.setXAxis(1.0, 1.0);
+ data.setRowCount(5);
+ EXPECT_FLOAT_EQ(1.0, data.xvalue(0));
+ EXPECT_FLOAT_EQ(3.0, data.xvalue(2));
+ EXPECT_FLOAT_EQ(5.0, data.xvalue(4));
+ }
+ {
+ gmx::AnalysisArrayData data;
+ data.setXAxisValue(0, 2.0);
+ data.setXAxisValue(1, 3.0);
+ data.setXAxisValue(2, 5.0);
+ data.setRowCount(3);
+ EXPECT_FLOAT_EQ(2.0, data.xvalue(0));
+ EXPECT_FLOAT_EQ(3.0, data.xvalue(1));
+ EXPECT_FLOAT_EQ(5.0, data.xvalue(2));
+ }
+}
+
} // namespace
ASSERT_NO_THROW_GMX(presentAllData(input, &data));
}
+TEST_F(AverageModuleTest, CanCustomizeNonUniformXAxis)
+{
+ const AnalysisDataTestInput &input = SimpleInputData::get();
+ gmx::AnalysisData data;
+ ASSERT_NO_THROW_GMX(setupDataObject(input, &data));
+
+ gmx::AnalysisDataAverageModulePointer module(new gmx::AnalysisDataAverageModule());
+ data.addModule(module);
+ module->setXAxisValue(0, 2.0);
+ module->setXAxisValue(1, 3.0);
+ module->setXAxisValue(2, 5.0);
+
+ ASSERT_NO_THROW_GMX(addStaticCheckerModule(input, &data));
+ ASSERT_NO_THROW_GMX(addReferenceCheckerModule("InputData", &data));
+ ASSERT_NO_THROW_GMX(addReferenceCheckerModule("Average", module.get()));
+ ASSERT_NO_THROW_GMX(presentAllData(input, &data));
+}
+
/********************************************************************
* Tests for gmx::AnalysisDataFrameAverageModule.
*/
--- /dev/null
+<?xml version="1.0"?>
+<?xml-stylesheet type="text/xsl" href="referencedata.xsl"?>
+<ReferenceData>
+ <AnalysisData Name="InputData">
+ <DataFrame Name="Frame0">
+ <Real Name="X">1</Real>
+ <DataValues>
+ <Int Name="Count">3</Int>
+ <DataValue>
+ <Real Name="Value">0</Real>
+ </DataValue>
+ <DataValue>
+ <Real Name="Value">1</Real>
+ </DataValue>
+ <DataValue>
+ <Real Name="Value">2</Real>
+ </DataValue>
+ </DataValues>
+ </DataFrame>
+ <DataFrame Name="Frame1">
+ <Real Name="X">2</Real>
+ <DataValues>
+ <Int Name="Count">3</Int>
+ <DataValue>
+ <Real Name="Value">1</Real>
+ </DataValue>
+ <DataValue>
+ <Real Name="Value">1</Real>
+ </DataValue>
+ <DataValue>
+ <Real Name="Value">1</Real>
+ </DataValue>
+ </DataValues>
+ </DataFrame>
+ <DataFrame Name="Frame2">
+ <Real Name="X">3</Real>
+ <DataValues>
+ <Int Name="Count">3</Int>
+ <DataValue>
+ <Real Name="Value">2</Real>
+ </DataValue>
+ <DataValue>
+ <Real Name="Value">0</Real>
+ </DataValue>
+ <DataValue>
+ <Real Name="Value">0</Real>
+ </DataValue>
+ </DataValues>
+ </DataFrame>
+ </AnalysisData>
+ <AnalysisData Name="Average">
+ <DataFrame Name="Frame0">
+ <Real Name="X">2</Real>
+ <DataValues>
+ <Int Name="Count">1</Int>
+ <DataValue>
+ <Real Name="Value">1</Real>
+ <Real Name="Error">1</Real>
+ </DataValue>
+ </DataValues>
+ </DataFrame>
+ <DataFrame Name="Frame1">
+ <Real Name="X">3</Real>
+ <DataValues>
+ <Int Name="Count">1</Int>
+ <DataValue>
+ <Real Name="Value">0.66666666666666674</Real>
+ <Real Name="Error">0.57735026918962584</Real>
+ </DataValue>
+ </DataValues>
+ </DataFrame>
+ <DataFrame Name="Frame2">
+ <Real Name="X">5</Real>
+ <DataValues>
+ <Int Name="Count">1</Int>
+ <DataValue>
+ <Real Name="Value">1</Real>
+ <Real Name="Error">1</Real>
+ </DataValue>
+ </DataValues>
+ </DataFrame>
+ </AnalysisData>
+</ReferenceData>