Helper for a delayed unary isometric boolean NOT operation. More...

#include <boolean_helpers.hpp>

Inheritance diagram for tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >:

Collaboration diagram for tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >:

Public Member Functions
std::optional< Index_ >	nrow () const

std::optional< Index_ >	ncol () const

bool	zero_depends_on_row () const

bool	zero_depends_on_column () const

bool	non_zero_depends_on_row () const

bool	non_zero_depends_on_column () const

void	dense (bool, Index_, Index_, Index_ length, const InputValue_ input, OutputValue_ output) const

void	dense (bool, Index_, const std::vector< Index_ > &indices, const InputValue_ input, OutputValue_ output) const

bool	is_sparse () const

void	sparse (bool, Index_, Index_ number, const InputValue_ input_value, const Index_ , OutputValue_ *output_value) const

OutputValue_	fill (bool, Index_) const

Public Member Functions inherited from tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >

Detailed Description

template<typename OutputValue_, typename InputValue_, typename Index_>
class tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >

Helper for a delayed unary isometric boolean NOT operation.

This class applies a boolean NOT operation to each element of a Matrix. It should be used as the Operation_ in the DelayedUnaryIsometricOperation class.

Template Parameters

OutputValue_	Type of the result of the operation.
InputValue_	Type of the value of the input matrix.
Index_	Integer type for the row/column indices.

Member Function Documentation

◆ nrow()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

std::optional< Index_ > tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::nrow ( ) const

inlinevirtual

Returns: Expected number of rows in the matrix to which this operation is to be applied (i.e., the underlying matrix in the DelayedUnaryIsometricOperation constructor). If no value is returned, the matrix may have any number of rows.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ ncol()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

std::optional< Index_ > tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::ncol ( ) const

inlinevirtual

Returns: Expected number of columns in the matrix to which this operation is to be applied (i.e., the underlying matrix in the DelayedUnaryIsometricOperation constructor). If no value is returned, the matrix may have any number of columns.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ zero_depends_on_row()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

bool tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::zero_depends_on_row ( ) const

inlinevirtual

Returns: Whether the operation will convert a structural zero to a non-zero value, in a manner that depends on the identity of the column in which the structural zero occurs.

This method is only called when is_sparse() returns false. It is not necessary to explicitly return false here for sparsity-preserving operations, as DelayedUnaryIsometricOperation will automatically recognize such operations as being row-independent.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ zero_depends_on_column()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

bool tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::zero_depends_on_column ( ) const

inlinevirtual

Returns: Whether the operation will convert a structural zero to a non-zero value, in a manner that depends on the identity of the column in which the structural zero occurs.

This method is only called when is_sparse() returns false. It is not necessary to explicitly return false here for sparsity-preserving operations, as DelayedUnaryIsometricOperation will automatically recognize such operations as being row-independent.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ non_zero_depends_on_row()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

bool tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::non_zero_depends_on_row ( ) const

inlinevirtual

Returns: Whether the result of the operation on a non-zero operand depends on the identity of the row containing the operand.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ non_zero_depends_on_column()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

bool tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::non_zero_depends_on_column ( ) const

inlinevirtual

Returns: Whether the result of the operation on a non-zero operand depends on the identity of the column containing the operand.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ dense() [1/2]

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

void tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::dense	(	bool	row,
		Index_	i,
		Index_	start,
		Index_	length,
		const InputValue_ *	input,
		OutputValue_ *	output ) const

inlinevirtual

This method accepts a contiguous block of an element of the target dimension from the underlying matrix (input), applies the operation to each value, and stores the result in another array of different type (output).

Parameters

	row	Whether the rows are the target dimension. If true, `buffer` contains row `i`, otherwise it contains column `i`.
	i	Index of the extracted row (if `row = true`) or column (otherwise). This argument should be ignored if the operation does not depend on the row/column (i.e., when all of `zero_depends_on_row()` and friends return false), in which case an arbitrary placeholder may be supplied.
	start	Start of the contiguous block of columns (if `row = true`) or rows (otherwise) extracted from `i`.
	length	Length of the contiguous block.
[in]	input	Pointer to an array containing a contiguous block of a row/column extracted from the matrix. This has `length` addressable elements.
[out]	output	Pointer to an array to store the results of the operation applied to elements of `input`. This has `length` addressable elements. If `InputValue_ == OutputValue_`, this is guaranteed to be the same as `input`.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ dense() [2/2]

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

void tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::dense	(	bool	row,
		Index_	i,
		const std::vector< Index_ > &	indices,
		const InputValue_ *	input,
		OutputValue_ *	output ) const

inlinevirtual

This method accepts an indexed subset of an element of the target dimension from the underlying matrix (input), applies the operation to each value, and stores the result in another array of different type (output).

Parameters

	row	Whether the rows are the target dimension. If true, `buffer` contains row `i`, otherwise it contains column `i`.
	i	Index of the extracted row (if `row = true`) or column (otherwise). This argument should be ignored if the operation does not depend on the row/column (i.e., when all of `zero_depends_on_row()` and friends return false), in which case an arbitrary placeholder may be supplied.
	indices	Sorted and unique indices of columns (if `row = true`) or rows (otherwise) extracted from `i`.
[in]	input	Pointer to an array containing an indexed subset of a row/column extracted from the matrix. This has `length` addressable elements.
[out]	output	Pointer to an array to store the results of the operation applied to elements of `input`. This has `length` addressable elements. If `InputValue_ == OutputValue_`, this is guaranteed to be the same as `input`.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ is_sparse()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

bool tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::is_sparse ( ) const

inlinevirtual

Returns: Does this operation preserve sparsity? This may return false.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ sparse()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

void tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::sparse	(	bool	row,
		Index_	i,
		Index_	num,
		const InputValue_ *	input_value,
		const Index_ *	index,
		OutputValue_ *	output_value ) const

inlinevirtual

This method is expected to iterate over input_value, apply the operation to each value, and store the result in output_value. We assume that the operation only needs to be applied to the structural non-zeros; structural zeros are either ignored for sparsity-preserving operations, or the result of the operation on zeros will be populated by fill().

If non_zero_depends_on_row() && !row or non_zero_depends_on_column() && row, index is guaranteed to be non-NULL. Otherwise, it may be NULL and should be ignored. Even if non-NULL, indices are not guaranteed to be sorted.

Implementations of this method do not necessarily need to have the same template arguments as shown here. It will be called without any explicit template arguments so anything can be used as long as type deduction works.

Parameters

	row	Whether the rows are the target dimension. If true, `buffer` contains row `i`, otherwise it contains column `i`.
	i	Index of the extracted row (if `row = true`) or column (otherwise). This argument should be ignored if the operation does not depend on the row/column (i.e., when all of `zero_depends_on_row()` and friends return false), in which case an arbitrary placeholder may be supplied.
	num	Number of non-zero elements for row/column `i`.
[in]	input_value	Pointer to an array of values of the structural non-zero elements from the row/column of the matrix. This is guaranteed to have `num` addressable elements.
[in]	index	Pointer to an array of column (if `row = true`) or row indices (otherwise) of the non-zero elements. Alternatively NULL.
[out]	output_value	Pointer to an array in which to store the result of the operation on each element of `input_value`. This is guaranteed to have `num` addressable elements. If `InputValue_ == OutputValue_`, this is guaranteed to be the same as `input`.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

◆ fill()

template<typename OutputValue_ , typename InputValue_ , typename Index_ >

OutputValue_ tatami::DelayedUnaryIsometricBooleanNotHelper< OutputValue_, InputValue_, Index_ >::fill	(	bool	row,
		Index_	i ) const

inlinevirtual

Parameters

row	Whether `i` refers to the row or column index.
i	The index of the row (if `row = true`) or column (otherwise) containing the zeros. This argument should be ignored if the operation does not depend on the row/column, i.e., when all of `zero_depends_on_row()` and friends return false.

Returns: The result of the operation being applied on zeros from the i-th row/column of the matrix.

This function will never be called by DelayedUnaryIsometricOperation if the operation depends on the dimension that is not specified by row, i.e., when row = true && zero_depends_on_column() or row = false && zero_depends_on_row(). In such cases, no single fill value would exist.

Implements tatami::DelayedUnaryIsometricOperationHelper< OutputValue_, InputValue_, Index_ >.

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

tatami/isometric/unary/boolean_helpers.hpp

Public Member Functions

Detailed Description

Member Function Documentation

◆ nrow()

◆ ncol()

◆ zero_depends_on_row()

◆ zero_depends_on_column()

◆ non_zero_depends_on_row()

◆ non_zero_depends_on_column()

◆ dense() [1/2]

◆ dense() [2/2]

◆ is_sparse()

◆ sparse()

◆ fill()