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ChunkedArrayHDF5< N, T, Alloc > Class Template Reference | ![]() |
#include <vigra/multi_array_chunked_hdf5.hxx>
Public Member Functions | |
| ChunkedArrayHDF5 (HDF5File const &file, std::string const &dataset, HDF5File::OpenMode mode, shape_type const &shape, shape_type const &chunk_shape=shape_type(), ChunkedArrayOptions const &options=ChunkedArrayOptions(), Alloc const &alloc=Alloc()) | |
| Construct with given 'shape', 'chunk_shape' and 'options', using 'alloc' to manage the in-memory version of the data.. More... | |
| ChunkedArrayHDF5 (HDF5File const &file, std::string const &dataset, HDF5File::OpenMode mode=HDF5File::ReadOnly, ChunkedArrayOptions const &options=ChunkedArrayOptions(), Alloc const &alloc=Alloc()) | |
| Construct for an already existing dataset with given 'options', using 'alloc' to manage the in-memory version of the data. More... | |
| virtual std::size_t | overheadBytesPerChunk () const |
| Bytes of main memory needed to manage a single chunk. | |
Public Member Functions inherited from ChunkedArray< N, T > | |
| std::string | backend () const |
| Return the class that implements this ChunkedArray. | |
| iterator | begin () |
| Create a scan-order iterator for the entire chunked array. | |
| const_iterator | begin () const |
| Create a read-only scan-order iterator for the entire chunked array. | |
| template<unsigned int M> | |
| MultiArrayView< N-1, T, ChunkedArrayTag > | bind (difference_type_1 index) const |
| Create a lower dimensional view to the chunked array. More... | |
| MultiArrayView< N-1, T, ChunkedArrayTag > | bindAt (MultiArrayIndex dim, MultiArrayIndex index) const |
| Create a lower dimensional view to the chunked array. More... | |
| MultiArrayView< N-1, T, ChunkedArrayTag > | bindInner (difference_type_1 index) const |
| Create a lower dimensional view to the chunked array. More... | |
| template<int M, class Index > | |
| MultiArrayView< N-M, T, ChunkedArrayTag > | bindInner (const TinyVector< Index, M > &d) const |
| Create a lower dimensional view to the chunked array. More... | |
| MultiArrayView< N-1, T, ChunkedArrayTag > | bindOuter (difference_type_1 index) const |
| Create a lower dimensional view to the chunked array. More... | |
| template<int M, class Index > | |
| MultiArrayView< N-M, T, ChunkedArrayTag > | bindOuter (const TinyVector< Index, M > &d) const |
| Create a lower dimensional view to the chunked array. More... | |
| std::size_t | cacheMaxSize () const |
| Get the number of chunks the cache will hold. More... | |
| int | cacheSize () const |
| Number of chunks currently fitting into the cache. | |
| const_iterator | cbegin () const |
| Create a read-only scan-order iterator for the entire chunked array. | |
| const_iterator | cend () const |
| Create the end iterator for read-only scan-order iteration over the entire chunked array. | |
| template<class U , class Stride > | |
| void | checkoutSubarray (shape_type const &start, MultiArrayView< N, U, Stride > &subarray) const |
| Copy an ROI of the chunked array into an ordinary MultiArrayView. More... | |
| chunk_iterator | chunk_begin (shape_type const &start, shape_type const &stop) |
| Create an iterator over all chunks intersected by the given ROI. | |
| chunk_const_iterator | chunk_begin (shape_type const &start, shape_type const &stop) const |
| Create a read-only iterator over all chunks intersected by the given ROI. | |
| chunk_const_iterator | chunk_cbegin (shape_type const &start, shape_type const &stop) const |
| Create a read-only iterator over all chunks intersected by the given ROI. | |
| chunk_const_iterator | chunk_cend (shape_type const &start, shape_type const &stop) const |
| Create the end iterator for read-only iteration over all chunks intersected by the given ROI. | |
| chunk_iterator | chunk_end (shape_type const &start, shape_type const &stop) |
| Create the end iterator for iteration over all chunks intersected by the given ROI. | |
| chunk_const_iterator | chunk_end (shape_type const &start, shape_type const &stop) const |
| Create the end iterator for read-only iteration over all chunks intersected by the given ROI. | |
| virtual shape_type | chunkArrayShape () const |
| Number of chunks along each coordinate direction. | |
| shape_type | chunkShape (shape_type const &chunk_index) const |
| Find the shape of the chunk indexed by 'chunk_index'. More... | |
| shape_type const & | chunkShape () const |
| Return the global chunk shape. More... | |
| shape_type | chunkStart (shape_type const &global_start) const |
| Find the chunk that contains array element 'global_start'. | |
| shape_type | chunkStop (shape_type global_stop) const |
| Find the chunk that is beyond array element 'global_stop'. More... | |
| template<class U , class Stride > | |
| void | commitSubarray (shape_type const &start, MultiArrayView< N, U, Stride > const &subarray) |
| Copy an ordinary MultiArrayView into an ROI of the chunked array. More... | |
| const_view_type | const_subarray (shape_type const &start, shape_type const &stop) const |
| Create a read-only view to the specified ROI. More... | |
| std::size_t | dataBytes () const |
| Bytes of main memory occupied by the array's data. More... | |
| std::size_t | dataBytesPerChunk () const |
| Number of data bytes in an uncompressed chunk. | |
| iterator | end () |
| Create the end iterator for scan-order iteration over the entire chunked array. | |
| const_iterator | end () const |
| Create the end iterator for read-only scan-order iteration over the entire chunked array. | |
| value_type | getItem (shape_type const &point) const |
| Read the array element at index 'point'. More... | |
| bool | isInside (shape_type const &p) const |
| Check if the given point is in the array domain. | |
| template<class U , class C1 > | |
| bool | operator!= (MultiArrayView< N, U, C1 > const &rhs) const |
| Check if two arrays differ in at least one element. | |
| template<class U , class C1 > | |
| bool | operator== (MultiArrayView< N, U, C1 > const &rhs) const |
| Check if two arrays are elementwise equal. | |
| std::size_t | overheadBytes () const |
| Bytes of main memory needed to manage the chunked storage. | |
| void | releaseChunks (shape_type const &start, shape_type const &stop, bool destroy=false) |
| void | setCacheMaxSize (std::size_t c) |
| Set the number of chunks the cache will hold. More... | |
| void | setItem (shape_type const &point, value_type const &v) |
| Write the array element at index 'point'. More... | |
| shape_type const & | shape () const |
| Return the shape in this array. | |
| MultiArrayIndex | size () const |
| Return the number of elements in this array. | |
| view_type | subarray (shape_type const &start, shape_type const &stop) |
| Create a view to the specified ROI. More... | |
| const_view_type | subarray (shape_type const &start, shape_type const &stop) const |
| Create a read-only view to the specified ROI. More... | |
Implement ChunkedArray as a chunked dataset in an HDF5 file.
#include <vigra/multi_array_chunked_hdf5.hxx>
Namespace: vigra
This uses the native chunking and compression functionality provided by the HDF5 library. Note: This file must only be included when the HDF5 headers and libraries are installed on the system.
| ChunkedArrayHDF5 | ( | HDF5File const & | file, |
| std::string const & | dataset, | ||
| HDF5File::OpenMode | mode, | ||
| shape_type const & | shape, | ||
| shape_type const & | chunk_shape = shape_type(), |
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| ChunkedArrayOptions const & | options = ChunkedArrayOptions(), |
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| Alloc const & | alloc = Alloc() |
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| ) |
Construct with given 'shape', 'chunk_shape' and 'options', using 'alloc' to manage the in-memory version of the data..
The data are placed in 'file' at the internal path 'dataset'. Argument 'mode' must be one of the following:
The supported compression algorithms are:
| ChunkedArrayHDF5 | ( | HDF5File const & | file, |
| std::string const & | dataset, | ||
| HDF5File::OpenMode | mode = HDF5File::ReadOnly, |
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| ChunkedArrayOptions const & | options = ChunkedArrayOptions(), |
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| Alloc const & | alloc = Alloc() |
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| ) |
Construct for an already existing dataset with given 'options', using 'alloc' to manage the in-memory version of the data.
The data must be located in 'file' at the internal path 'dataset'. The array's shape and chunk_shape are read from the file. It is an error to use this constructor when 'dataset' doesn't exist.
Argument 'mode' must be one of the following:
The supported compression algorithms are:
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© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) |
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