RecordSorter

class numpy::RecordSorter

numpy C++ class.

Example

#include <numpy/np_ndarray.h>
using namespace numpy;

// Use RecordSorter
RecordSorter obj;
// ... operations ...

Sorting

Signature	Return Type	Location	Example
void sort(std::vector<Record>&records, boolstable = true)	void	NP_SORTING_ALGORITHMS.H:1444	View

Math Operations

Signature	Return Type	Location	Example
void add_field(const std::string &name, FieldComparatorcomp, boolascending = true)	void	NP_SORTING_ALGORITHMS.H:1440

Code Examples

The following examples are extracted from the test suite.

sort (np_test_1_all.cpp:6258)

    std::vector<int> data = gen.generate(100, DataPattern::FEW_UNIQUE);

    if (!(data.size() == 100)) {
        std::string description = std::string("test_data_generator_few_uniqueBenchmarkSorting():") + __FILE__ + ":" + std::to_string(__LINE__) + ": !(data.size() == 100)";
        std::cout << std::string("[FAIL] ") + description << std::endl;
        throw std::runtime_error(description);
    }

    // Count unique values
    std::vector<int> sorted_copy = data;
    std::sort(sorted_copy.begin(), sorted_copy.end());
    auto unique_end = std::unique(sorted_copy.begin(), sorted_copy.end());
    size_t unique_count = std::distance(sorted_copy.begin(), unique_end);

    // Should have significantly fewer unique values than total elements
    if (!(unique_count < data.size() / 2)) {
        std::string description = std::string("test_data_generator_few_uniqueBenchmarkSorting():") + __FILE__ + ":" + std::to_string(__LINE__) + ": !(unique_count < data.size() / 2)";
        std::cout << std::string("[FAIL] ") + description << std::endl;
        throw std::runtime_error(description);
    }