VectorizeOptions

class numpy::VectorizeOptions

numpy C++ class.

Example

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

// Use VectorizeOptions
VectorizeOptions obj;
// ... operations ...

Other Methods

Signature	Return Type	Location	Example
VectorizeOptions & withCache(boolenable_cache = true, size_tsize = 1000)	VectorizeOptions &	NP_VECTORIZE.H:48	View
VectorizeOptions & withDoc(const std::string &documentation)	VectorizeOptions &	NP_VECTORIZE.H:54
VectorizeOptions & withExcluded(const std::vector<size_t>&excl)	VectorizeOptions &	NP_VECTORIZE.H:43	View
VectorizeOptions & withSignature(const std::string &sig)	VectorizeOptions &	NP_VECTORIZE.H:38

Code Examples

The following examples are extracted from the test suite.

withCache (np_test_1_all.cpp:15020)

      }

      // Test 5: Custom vectorized function with options
      std::cout << "========= test_vectorize_with_options =======================";

      auto custom_func = [](double x, double y, double scale) {
        return scale * (x + y);
        };

      numpy::VectorizeOptions opts;
      opts.withExcluded({ 2 }).withCache(true, 500);

      auto vectorized_custom = numpy::vectorize(custom_func, opts);

      // Simplified test - just test with 2 array arguments for now
      numpy::NDArray<double> x({ 2 });
      x.setElementAt({ 0 }, 1.0);
      x.setElementAt({ 1 }, 2.0);

      numpy::NDArray<double> y({ 2 });
      y.setElementAt({ 0 }, 3.0);

withExcluded (np_test_1_all.cpp:15020)

      }

      // Test 5: Custom vectorized function with options
      std::cout << "========= test_vectorize_with_options =======================";

      auto custom_func = [](double x, double y, double scale) {
        return scale * (x + y);
        };

      numpy::VectorizeOptions opts;
      opts.withExcluded({ 2 }).withCache(true, 500);

      auto vectorized_custom = numpy::vectorize(custom_func, opts);

      // Simplified test - just test with 2 array arguments for now
      numpy::NDArray<double> x({ 2 });
      x.setElementAt({ 0 }, 1.0);
      x.setElementAt({ 1 }, 2.0);

      numpy::NDArray<double> y({ 2 });
      y.setElementAt({ 0 }, 3.0);