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4da1ce8404
Run clang-tidy modernize-use-override to remove all the redundant virtual keywords from overridden methods, and add some missing overrides. Another benefit is that this has also added the overrides on destructors, which will cause a build failure if a base class is missing a virtual destructor.
145 lines
3.4 KiB
Plaintext
145 lines
3.4 KiB
Plaintext
/************************************************************************
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* This file has been generated automatically from *
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* *
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* src/core/qgscachedfeatureiterator.h *
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* *
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* Do not edit manually ! Edit header and run scripts/sipify.pl again *
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************************************************************************/
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class QgsCachedFeatureIterator : QgsAbstractFeatureIterator
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{
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%Docstring
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\brief
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Delivers features from the cache
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%End
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%TypeHeaderCode
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#include "qgscachedfeatureiterator.h"
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%End
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public:
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QgsCachedFeatureIterator( QgsVectorLayerCache *vlCache, const QgsFeatureRequest &featureRequest );
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%Docstring
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This constructor creates a feature iterator, that delivers all cached features. No request is made to the backend.
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:param vlCache: The vector layer cache to use
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:param featureRequest: The feature request to answer
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%End
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virtual bool rewind();
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%Docstring
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Rewind to the beginning of the iterator
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:return: bool true if the operation was OK
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:rtype: bool
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%End
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virtual bool close();
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%Docstring
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Close this iterator. No further features will be available.
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:return: true if successful
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:rtype: bool
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%End
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protected:
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virtual bool fetchFeature( QgsFeature &f );
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%Docstring
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Implementation for fetching a feature.
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:param f: Will write to this feature
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:return: bool true if the operation was OK
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:rtype: bool
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.. seealso:: :py:func:`bool`
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%End
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virtual bool nextFeatureFilterFids( QgsFeature &f );
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%Docstring
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We have a local special iterator for FilterFids, no need to run the generic.
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:param f: Will write to this feature
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:return: bool true if the operation was OK
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:rtype: bool
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%End
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};
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class QgsCachedFeatureWriterIterator : QgsAbstractFeatureIterator
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{
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%Docstring
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\brief
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Uses another iterator as backend and writes features to the cache
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%End
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%TypeHeaderCode
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#include "qgscachedfeatureiterator.h"
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%End
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public:
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QgsCachedFeatureWriterIterator( QgsVectorLayerCache *vlCache, const QgsFeatureRequest &featureRequest );
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%Docstring
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This constructor creates a feature iterator, which queries the backend and caches retrieved features.
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:param vlCache: The vector layer cache to use
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:param featureRequest: The feature request to answer
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%End
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virtual bool rewind();
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%Docstring
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Rewind to the beginning of the iterator
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:return: bool true if the operation was OK
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:rtype: bool
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%End
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virtual bool close();
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%Docstring
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Close this iterator. No further features will be available.
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:return: true if successful
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:rtype: bool
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%End
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protected:
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virtual bool fetchFeature( QgsFeature &f );
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%Docstring
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Implementation for fetching a feature.
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:param f: Will write to this feature
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:return: bool true if the operation was OK
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:rtype: bool
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.. seealso:: :py:func:`bool`
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%End
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};
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/************************************************************************
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* This file has been generated automatically from *
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* *
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* src/core/qgscachedfeatureiterator.h *
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* *
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* Do not edit manually ! Edit header and run scripts/sipify.pl again *
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************************************************************************/
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