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Fix prunning in (sparse*sparse).pruned() when the result is nearly dense.
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@ -336,7 +336,7 @@ class AmbiVector<_Scalar,_StorageIndex>::Iterator
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{
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do {
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++m_cachedIndex;
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} while (m_cachedIndex<m_vector.m_end && abs(m_vector.m_buffer[m_cachedIndex])<m_epsilon);
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} while (m_cachedIndex<m_vector.m_end && abs(m_vector.m_buffer[m_cachedIndex])<=m_epsilon);
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if (m_cachedIndex<m_vector.m_end)
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m_cachedValue = m_vector.m_buffer[m_cachedIndex];
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else
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@ -347,7 +347,7 @@ class AmbiVector<_Scalar,_StorageIndex>::Iterator
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ListEl* EIGEN_RESTRICT llElements = reinterpret_cast<ListEl*>(m_vector.m_buffer);
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do {
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m_currentEl = llElements[m_currentEl].next;
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} while (m_currentEl>=0 && abs(llElements[m_currentEl].value)<m_epsilon);
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} while (m_currentEl>=0 && abs(llElements[m_currentEl].value)<=m_epsilon);
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if (m_currentEl<0)
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{
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m_cachedIndex = -1;
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@ -363,9 +363,9 @@ class AmbiVector<_Scalar,_StorageIndex>::Iterator
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protected:
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const AmbiVector& m_vector; // the target vector
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StorageIndex m_currentEl; // the current element in sparse/linked-list mode
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StorageIndex m_currentEl; // the current element in sparse/linked-list mode
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RealScalar m_epsilon; // epsilon used to prune zero coefficients
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StorageIndex m_cachedIndex; // current coordinate
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StorageIndex m_cachedIndex; // current coordinate
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Scalar m_cachedValue; // current value
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bool m_isDense; // mode of the vector
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};
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