Forced dense representation. More...

#include <ForcedDense.hpp>

Inheritance diagram for tatami::ForcedDense< Value_, Index_ >:

Collaboration diagram for tatami::ForcedDense< Value_, Index_ >:

Public Member Functions
	ForcedDense (std::shared_ptr< const Matrix< Value_, Index_ > > matrix)

Index_	nrow () const

Index_	ncol () const

bool	prefer_rows () const

bool	uses_oracle (const bool row) const

bool	is_sparse () const

double	is_sparse_proportion () const

double	prefer_rows_proportion () const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense (const bool row, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense (const bool row, const Index_ block_start, const Index_ block_length, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense (const bool row, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse (const bool row, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse (const bool row, const Index_ block_start, const Index_ block_length, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse (const bool row, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense (const bool row, std::shared_ptr< const Oracle< Index_ > > oracle, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense (const bool row, std::shared_ptr< const Oracle< Index_ > > oracle, const Index_ block_start, const Index_ block_length, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense (const bool row, std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse (const bool row, std::shared_ptr< const Oracle< Index_ > > oracle, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse (const bool row, std::shared_ptr< const Oracle< Index_ > > oracle, const Index_ block_start, const Index_ block_length, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse (const bool row, std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr, const Options &opt) const

Public Member Functions inherited from tatami::Matrix< Value_, Index_ >
std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row () const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (Index_ block_start, Index_ block_length) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_row (std::vector< Index_ > indices) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column () const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (Index_ block_start, Index_ block_length) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > >	dense_column (std::vector< Index_ > indices) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row () const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (Index_ block_start, Index_ block_length) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_row (std::vector< Index_ > indices) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column () const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (Index_ block_start, Index_ block_length) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > >	sparse_column (std::vector< Index_ > indices) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_row (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > >	dense_column (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices, const Options &opt) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_row (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, Index_ block_start, Index_ block_length) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, VectorPtr< Index_ > indices_ptr) const

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > >	sparse_column (std::shared_ptr< const Oracle< Index_ > > oracle, std::vector< Index_ > indices) const

Additional Inherited Members
Public Types inherited from tatami::Matrix< Value_, Index_ >
typedef Value_	value_type

typedef Index_	index_type

Detailed Description

template<typename Value_, typename Index_>
class tatami::ForcedDense< Value_, Index_ >

Forced dense representation.

Template Parameters

Value_	Type of the matrix values.
Index_	Type of the row/column indices.

Override Matrix::is_sparse() to always return false. Similarly, Matrix::is_sparse_proportion() will always return zero. This is occasionally helpful to indicate that downstream applications should ignore structural sparsity in the input Matrix.

To illustrate, consider a structurally sparse matrix like a CompressedSparseMatrix. When performing calculations on such a matrix, we can take advantage of sparsity and only process its non-zero elements for greater efficiency. However, if the CompressedSparseMatrix has a high density of non-zero values, the sparsity-aware algorithm may be less efficient than its dense counterpart, e.g., due to non-contiguous and unpredictable memory look-ups based on the index of the non-zero element. In such cases, it may be better to ignore the sparsity and treat it as a dense matrix, which can be achieved by wrapping the CompressedSparseMatrix in a ForcedDense layer.

Aside from is_sparse() and is_sparse_proportion(), calls to any other method are simply forwarded to the corresponding method of the input Matrix. In particular, calls to ForcedDense::sparse() may return a SparseRange where the number of non-zero elements is not equal to the non-target extraction length.

Constructor & Destructor Documentation

◆ ForcedDense()

template<typename Value_ , typename Index_ >

tatami::ForcedDense< Value_, Index_ >::ForcedDense ( std::shared_ptr< const Matrix< Value_, Index_ > > matrix )

inline

Parameters

matrix Matrix to be wrapped.

Member Function Documentation

◆ nrow()

template<typename Value_ , typename Index_ >

Index_ tatami::ForcedDense< Value_, Index_ >::nrow ( ) const

inlinevirtual

Returns: Number of rows.

It is expected that the number of rows can be represented by a std::size_t without overflow, even if Index_ is of a larger size. This is implied by the fact that MyopicDenseExtractor::fetch() and friends accept a pointer for their buffer arguments; the length of the array referenced by these pointers (possibly equal to the number of rows) must fit in a std::size_t.

Implements tatami::Matrix< Value_, Index_ >.

◆ ncol()

template<typename Value_ , typename Index_ >

Index_ tatami::ForcedDense< Value_, Index_ >::ncol ( ) const

inlinevirtual

Returns: Number of columns.

It is expected that the number of columns can be represented by a std::size_t without overflow, even if Index_ is of a larger size. This is implied by the fact that MyopicDenseExtractor::fetch() and friends accept a pointer for their buffer arguments; the length of the array referenced by these pointers (possibly equal to the number of rows) must fit in a std::size_t.

Implements tatami::Matrix< Value_, Index_ >.

◆ prefer_rows()

template<typename Value_ , typename Index_ >

bool tatami::ForcedDense< Value_, Index_ >::prefer_rows ( ) const

inlinevirtual

Returns: The preferred dimension for extracting values. If true, row-wise extraction is preferred; if false, column-wise extraction is preferred.

Implements tatami::Matrix< Value_, Index_ >.

◆ uses_oracle()

template<typename Value_ , typename Index_ >

bool tatami::ForcedDense< Value_, Index_ >::uses_oracle ( const bool row ) const

inlinevirtual

Parameters

row	Row access if `true`, column access otherwise.

Returns: Whether this matrix's tatami::Extractor classes make use of oracle predictions for row (if row = true) or column access (otherwise).

The output of this method indicates whether callers should construct an oracle for use in ExtractorBase::set_oracle(). If false, callers should not bother to pass an oracle as it will be ignored.

Implements tatami::Matrix< Value_, Index_ >.

◆ is_sparse()

template<typename Value_ , typename Index_ >

bool tatami::ForcedDense< Value_, Index_ >::is_sparse ( ) const

inlinevirtual

Returns: Boolean indicating whether this matrix is sparse.

This can be used to choose between dense and sparse outputs.

Implements tatami::Matrix< Value_, Index_ >.

◆ is_sparse_proportion()

template<typename Value_ , typename Index_ >

double tatami::ForcedDense< Value_, Index_ >::is_sparse_proportion ( ) const

inlinevirtual

Returns: Approximate proportion of the matrix that is sparse.

This is defined as the proportion of matrix elements that lie within sparse submatrices. It is intended for use in Matrix representations that consist of combinations of multiple submatrices (e.g., DelayedBind), allowing them to derive a suitable value for is_sparse() based on whether most of its submatrices are sparse. (A more granular approach would be to report the density of structural non-zero elements, but this may not be known by all representations at construction time.)

Implements tatami::Matrix< Value_, Index_ >.

◆ prefer_rows_proportion()

template<typename Value_ , typename Index_ >

double tatami::ForcedDense< Value_, Index_ >::prefer_rows_proportion ( ) const

inlinevirtual

Returns: Approximate proportion of the matrix that prefers row-level access.

This is defined as the proportion of matrix elements that lie within submatrices that prefer row-level access. It is useful for determining the return value of prefer_rows() in combined matrices consisting of both row- and column-preferred submatrices. In such cases, the net preference can be determined based on the combined size of the submatrices for each preference. (A more granular approach would be to report the iteration cost on each dimension, but this is difficult to estimate.)

Implements tatami::Matrix< Value_, Index_ >.

◆ dense() [1/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::dense	(	const bool	row,
		const Options &	opt ) const

inlinevirtual

Create an extractor that retrieves the full extent of the non-target dimension in dense form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
opt	Options for extraction.

Returns: Object for extracting each row (if row = true) or column (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ dense() [2/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::dense	(	const bool	row,
		const Index_	block_start,
		const Index_	block_length,
		const Options &	opt ) const

inlinevirtual

Create an extractor that retrieves a contiguous block of the non-target dimension in dense form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
block_start	Index of the column (if `row = true`) or row (otherwise) at the start of the block.
block_length	Number of columns (if `row = true`) or rows (otherwise) in the block.
opt	Options for extraction.

Returns: Object for extracting a contiguous block from each row (if row = true) or column (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ dense() [3/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< MyopicDenseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::dense	(	const bool	row,
		VectorPtr< Index_ >	indices_ptr,
		const Options &	opt ) const

inlinevirtual

Create an extractor that retrieves an indexed subset of the non-target dimension in dense form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
indices_ptr	Pointer to a vector of sorted and unique column indices (if `row = true`) or row indices (otherwise). This should be non-NULL.
opt	Options for extraction.

Returns: Object for extracting an indexed subset from each row (if row = true) or column (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ sparse() [1/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::sparse	(	const bool	row,
		const Options &	opt ) const

inlinevirtual

Create an extractor that retrieves the full extent of the non-target dimension in sparse form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
opt	Options for extraction.

Returns: Object for extracting each row (if row = true) or columns (otherwise) in sparse form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ sparse() [2/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::sparse	(	const bool	row,
		const Index_	block_start,
		const Index_	block_length,
		const Options &	opt ) const

inlinevirtual

Create an extractor that retrieves a contiguous block of the non-target dimension in sparse form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
block_start	Index of the column (if `row = true`) or row (otherwise) at the start of the block.
block_length	Number of columns (if `row = true`) or rows (otherwise) in the block.
opt	Options for extraction.

Returns: Object for extracting a contiguous block from each row (if row = true) or column (otherwise) in sparse form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ sparse() [3/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< MyopicSparseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::sparse	(	const bool	row,
		VectorPtr< Index_ >	indices_ptr,
		const Options &	opt ) const

inlinevirtual

Create an extractor that retrieves an indexed subset of the non-target dimension in sparse form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
indices_ptr	Pointer to a vector of sorted and unique column indices (if `row = true`) or row indices (otherwise). This should be non-NULL.
opt	Options for extraction.

Returns: Object for extracting an indexed subset from each row (if row = true) or column (otherwise) in sparse form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ dense() [4/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::dense	(	const bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		const Options &	opt ) const

inlinevirtual

Create an oracle-aware extractor that retrieves the full extent of the non-target dimension in dense form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
oracle	An oracle supplying predictions of the next requested row (if `row = true`) or column (otherwise).
opt	Options for extraction.

Returns: Object for extracting each row (if row = true) or columns (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ dense() [5/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::dense	(	const bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		const Index_	block_start,
		const Index_	block_length,
		const Options &	opt ) const

inlinevirtual

Create an oracle-aware extractor that retrieves a contiguous block of the non-target dimension in dense form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
oracle	An oracle supplying predictions of the next requested row (if `row = true`) or column (otherwise).
block_start	Index of the column (if `row = true`) or row (otherwise) at the start of the block.
block_length	Number of columns (if `row = true`) or rows (otherwise) in the block.
opt	Options for extraction.

Returns: Object for extracting a contiguous block from each row (if row = true) or column (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ dense() [6/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< OracularDenseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::dense	(	const bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		VectorPtr< Index_ >	indices_ptr,
		const Options &	opt ) const

inlinevirtual

Create an oracle-aware extractor that retrieves an indexed subset of the non-target dimension in dense form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
oracle	An oracle supplying predictions of the next requested row (if `row = true`) or column (otherwise).
indices_ptr	Pointer to a vector of sorted and unique column indices (if `row = true`) or row indices (otherwise). This should not be NULL.
opt	Options for extraction.

Returns: Object for extracting an indexed subset from each row (if row = true) or column (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ sparse() [4/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::sparse	(	const bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		const Options &	opt ) const

inlinevirtual

Create an oracle-aware extractor that retrieves the full extent of the non-target dimension in sparse form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
oracle	An oracle supplying predictions of the next requested row (if `row = true`) or column (otherwise).
opt	Options for extraction.

Returns: Object for extracting each row (if row = true) or columns (otherwise) in sparse form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ sparse() [5/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::sparse	(	const bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		const Index_	block_start,
		const Index_	block_length,
		const Options &	opt ) const

inlinevirtual

Create an oracle-aware extractor that retrieves a contiguous block of the non-target dimension in sparse form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
oracle	An oracle supplying predictions of the next requested row (if `row = true`) or column (otherwise).
block_start	Index of the column (if `row = true`) or row (otherwise) at the start of the block.
block_length	Number of columns (if `row = true`) or rows (otherwise) in the block.
opt	Options for extraction.

Returns: Object for extracting a contiguous block from each row (if row = true) or column (otherwise) in dense form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

◆ sparse() [6/6]

template<typename Value_ , typename Index_ >

std::unique_ptr< OracularSparseExtractor< Value_, Index_ > > tatami::ForcedDense< Value_, Index_ >::sparse	(	const bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		VectorPtr< Index_ >	indices_ptr,
		const Options &	opt ) const

inlinevirtual

Create an oracle-aware extractor that retrieves an indexed subset of the non-target dimension in sparse form.

Parameters

row	Whether to create a row-wise extractor, i.e., the rows are the target dimension.
oracle	An oracle supplying predictions of the next requested row (if `row = true`) or column (otherwise).
indices_ptr	Pointer to a vector of sorted and unique column indices (if `row = true`) or row indices (otherwise). This should not be NULL.
opt	Options for extraction.

Returns: Object for extracting an indexed subset from each row (if row = true) or column (otherwise) in sparse form. This should not outlive the parent Matrix from which it was created.

Implements tatami::Matrix< Value_, Index_ >.

The documentation for this class was generated from the following file:

tatami/dense/ForcedDense.hpp

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ ForcedDense()

Member Function Documentation

◆ nrow()

◆ ncol()

◆ prefer_rows()

◆ uses_oracle()

◆ is_sparse()

◆ is_sparse_proportion()

◆ prefer_rows_proportion()

◆ dense() [1/6]

◆ dense() [2/6]

◆ dense() [3/6]

◆ sparse() [1/6]

◆ sparse() [2/6]

◆ sparse() [3/6]

◆ dense() [4/6]

◆ dense() [5/6]

◆ dense() [6/6]

◆ sparse() [4/6]

◆ sparse() [5/6]

◆ sparse() [6/6]