apply_operation_with_dependencies()

template<ComputeData InputType = std::vector<Kakshya::DataVariant>, ComputeData OutputType = InputType>

output_type MayaFlux::Yantra::ComputeOperation< InputType, OutputType >::apply_operation_with_dependencies ( const input_type &  input )

inline

Applies the operation with dependencies resolved.

Parameters

input

Input data to process

Returns

Processed output data

This method ensures that all dependencies are executed before applying the operation. It is intended for use in scenarios where the operation is part of a larger processing graph.

Note

: This method is for usage outside of ComputeMatrix, and will not work recursively. For ComputeMatrix, simply use a chain of operations.

Definition at line 59 of file ComputeOperation.hpp.

    {
        m_last_execution_context.mode = ExecutionMode::DEPENDENCY;
 
        for (auto& dep : m_dependencies) {
            if (dep->validate_input(input)) {
                dep->apply_operation_internal(input, m_last_execution_context);
            }
        }
 
        m_last_execution_context.mode = ExecutionMode::SYNC;
        return apply_operation_internal(input, m_last_execution_context);
    }

References MayaFlux::Yantra::ComputeOperation< InputType, OutputType >::apply_operation_internal(), MayaFlux::Yantra::DEPENDENCY, input, MayaFlux::Yantra::ComputeOperation< InputType, OutputType >::m_dependencies, MayaFlux::Yantra::ComputeOperation< InputType, OutputType >::m_last_execution_context, MayaFlux::Yantra::ExecutionContext::mode, and MayaFlux::Yantra::SYNC.

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