LegacyGenerator

class numpy::LegacyGenerator

numpy C++ class.

Example

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

// Use LegacyGenerator
LegacyGenerator obj;
// ... operations ...

Constructors

Signature	Location	Example
LegacyGenerator(uint64_tseed)	NP_RANDOM.H:1763

Random

Signature	Return Type	Location	Example
void seed(uint32_tseed)	void	NP_RANDOM.H:2810	View
void shuffle(NDArray<T>&array)	void	NP_RANDOM.H:2643	View

Code Examples

The following examples are extracted from the test suite.

seed (np_test_1_all.cpp:14339)

    }
    // std::cout << "[OK] Generator integers method\n";

    std::cout << " -> tests passed\n";
  }

  void test_vsl_reproducibility() {
    std::cout << "========= test_vsl_reproducibility ====";

    // Test seed reproducibility
    seed(42);
    auto arr1 = normal<double>(0.0, 1.0, { {10} });

    seed(42);
    auto arr2 = normal<double>(0.0, 1.0, { {10} });



    for (size_t i = 0; i < 10; ++i) {
      double val1 = arr1.getElementAt({ i });
      double val2 = arr2.getElementAt({ i });

shuffle (np_test_1_all.cpp:12901)

    large_dataset.reserve(1000);

    for (int i = 0; i < 1000; ++i) {
      std::string str = "string" + std::to_string(i);
      large_dataset.push_back(str);
    }

    // Shuffle the dataset
    std::random_device rd;
    std::mt19937 gen(rd());
    std::shuffle(large_dataset.begin(), large_dataset.end(), gen);

    // Sort using our string sort
    sort_strings(large_dataset);

    // Verify it's sorted
    if (!(std::is_sorted(large_dataset.begin(), large_dataset.end()))) {
        std::string description = std::string("test_large_string_dataset():") + __FILE__ + ":" + std::to_string(__LINE__) + ": !(std::is_sorted(large_dataset.begin(), large_dataset.end()))";
        std::cout << std::string("[FAIL] ") + description << std::endl;
        throw std::runtime_error(description);
    }