Delayed isometric operation on a single matrix. More...

#include <DelayedUnaryIsometricOperation.hpp>

Inheritance diagram for tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >:

Collaboration diagram for tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >:

Public Member Functions
	DelayedUnaryIsometricOperation (std::shared_ptr< const Matrix< InputValue_, Index_ > > matrix, Operation_ operation)

Index_	nrow () const

Index_	ncol () const

bool	is_sparse () const

double	is_sparse_proportion () const

bool	prefer_rows () const

double	prefer_rows_proportion () const

bool	uses_oracle (bool row) const

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

typedef Index_	index_type

Detailed Description

template<typename OutputValue_, typename InputValue_, typename Index_, class Operation_>
class tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >

Delayed isometric operation on a single matrix.

Implements any operation that preserves the shape of the matrix and operates on each matrix value independently. This operation is "delayed" in that it is only evaluated during data extraction, e.g., with MyopicDenseExtractor::fetch() or friends. We only consider "unary" operations that involve a single Matrix - see DelayedBinaryIsometricOperation for operations between two Matrix instances.

This class is inspired by the DelayedUnaryIsoOp classes from the DelayedArray Bioconductor package.

Template Parameters

OutputValue_	Type of the result of the operation. This is the type of the value of the output matrix.
InputValue_	Type of the value of the input matrix, to use in the operation. This may or may not be the same as `OutputValue_`, depending on the methods available in `Operation_`.
Index_	Type of index value.
Operation_	Helper class representing the operation of interest. This should implement the same methods as `DelayedUnaryIsometricMockBasic` or `DelayedUnaryIsometricMockAdvanced`, depending on whether it can take advantage of matrix sparsity.

Constructor & Destructor Documentation

◆ DelayedUnaryIsometricOperation()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::DelayedUnaryIsometricOperation	(	std::shared_ptr< const Matrix< InputValue_, Index_ > >	matrix,
		Operation_	operation
	)

inline

Parameters

matrix	Pointer to the underlying matrix.
operation	Instance of the functor class.

Member Function Documentation

◆ nrow()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

Index_ tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::nrow ( ) const

inlinevirtual

Returns: Number of rows.

Implements tatami::Matrix< OutputValue_, Index_ >.

◆ ncol()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

Index_ tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::ncol ( ) const

inlinevirtual

Returns: Number of columns.

Implements tatami::Matrix< OutputValue_, Index_ >.

◆ is_sparse()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

bool tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::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< OutputValue_, Index_ >.

◆ is_sparse_proportion()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

double tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::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< OutputValue_, Index_ >.

◆ prefer_rows()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

bool tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::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< OutputValue_, Index_ >.

◆ prefer_rows_proportion()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

double tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::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< OutputValue_, Index_ >.

◆ uses_oracle()

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

bool tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::uses_oracle ( 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< OutputValue_, Index_ >.

◆ dense() [1/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< MyopicDenseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::dense	(	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< OutputValue_, Index_ >.

◆ dense() [2/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< MyopicDenseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::dense	(	bool	row,
		Index_	block_start,
		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< OutputValue_, Index_ >.

◆ dense() [3/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< MyopicDenseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::dense	(	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< OutputValue_, Index_ >.

◆ sparse() [1/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< MyopicSparseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::sparse	(	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< OutputValue_, Index_ >.

◆ sparse() [2/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< MyopicSparseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::sparse	(	bool	row,
		Index_	block_start,
		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< OutputValue_, Index_ >.

◆ sparse() [3/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< MyopicSparseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::sparse	(	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< OutputValue_, Index_ >.

◆ dense() [4/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< OracularDenseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::dense	(	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< OutputValue_, Index_ >.

◆ dense() [5/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< OracularDenseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::dense	(	bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		Index_	block_start,
		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< OutputValue_, Index_ >.

◆ dense() [6/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< OracularDenseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::dense	(	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< OutputValue_, Index_ >.

◆ sparse() [4/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< OracularSparseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::sparse	(	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< OutputValue_, Index_ >.

◆ sparse() [5/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< OracularSparseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::sparse	(	bool	row,
		std::shared_ptr< const Oracle< Index_ > >	oracle,
		Index_	block_start,
		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< OutputValue_, Index_ >.

◆ sparse() [6/6]

template<typename OutputValue_ , typename InputValue_ , typename Index_ , class Operation_ >

std::unique_ptr< OracularSparseExtractor< OutputValue_, Index_ > > tatami::DelayedUnaryIsometricOperation< OutputValue_, InputValue_, Index_, Operation_ >::sparse	(	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< OutputValue_, Index_ >.

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

tatami/isometric/unary/DelayedUnaryIsometricOperation.hpp

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ DelayedUnaryIsometricOperation()

Member Function Documentation

◆ nrow()

◆ ncol()

◆ is_sparse()

◆ is_sparse_proportion()

◆ prefer_rows()

◆ prefer_rows_proportion()

◆ uses_oracle()

◆ 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]