BroadcastView

class numpy::BroadcastView

View class for array data access.

Example

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

// Use BroadcastView
BroadcastView obj;
// ... operations ...

Constructors

Signature	Location	Example
BroadcastView(const NDArray<T>&source, const std::vector<size_t>&target_shape)	NP_BROADCASTING_UTILS.H:127

Indexing / Selection

Signature	Return Type	Location	Example
T getElementAt(const std::vector<size_t>&indices)	T	NP_BROADCASTING_UTILS.H:165	View
const std::vector<size_t>& getShape()	const std::vector<size_t>&	NP_BROADCASTING_UTILS.H:162	View
const std::vector<ssize_t>& getStrides()	const std::vector<ssize_t>&	NP_BROADCASTING_UTILS.H:163	View

Code Examples

The following examples are extracted from the test suite.

getElementAt (np_test_1_all.cpp:49)

using namespace numpy::benchmark;
using namespace numpy::char_;

// Helper functions for array comparison tests
namespace {
    const double TOLERANCE = 1e-10;

    bool allTrue(const NDArray<bool>& arr) {
        std::vector<size_t> indices(arr.getShape().size(), 0);
        do {
            if (!arr.getElementAt(indices)) {
                return false;
            }
        } while (incrementIndices(indices, arr.getShape()));
        return true;
    }

    bool allFalse(const NDArray<bool>& arr) {
        std::vector<size_t> indices(arr.getShape().size(), 0);
        do {
            if (arr.getElementAt(indices)) {

getShape (np_test_1_all.cpp:47)

using namespace numpy;
using namespace numpy::benchmark;
using namespace numpy::char_;

// Helper functions for array comparison tests
namespace {
    const double TOLERANCE = 1e-10;

    bool allTrue(const NDArray<bool>& arr) {
        std::vector<size_t> indices(arr.getShape().size(), 0);
        do {
            if (!arr.getElementAt(indices)) {
                return false;
            }
        } while (incrementIndices(indices, arr.getShape()));
        return true;
    }

    bool allFalse(const NDArray<bool>& arr) {
        std::vector<size_t> indices(arr.getShape().size(), 0);

getStrides (np_test_1_all.cpp:13373)

namespace numpy_tests {

  using namespace numpy;


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

    // Test 1D array
    auto array1d = createInt32Array({ 5 }, 10);
    const auto& strides1d = array1d.getStrides();

    // std::cout << "1D array shape: (" << array1d.getShape()[0] << ")" << std::endl;
    // std::cout << "1D array strides: (" << strides1d[0] << ")" << std::endl;

    if (!(strides1d.size() == 1)) {
        std::string description = std::string("testBasicStrides():") + __FILE__ + ":" + std::to_string(__LINE__) + ": !(strides1d.size() == 1)";
        std::cout << std::string("[FAIL] ") + description << std::endl;
        throw std::runtime_error(description);
    }
    if (!(strides1d[0] == 1)) {