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[BUG]: problem with python and c++ data type conversion

Open qqjjdd opened this issue 2 years ago • 1 comments

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What version (or hash if on master) of pybind11 are you using?

2.10.4

Problem description

I try to create an ndarray(whose size is 5, and dtype is float) in c++ interface as the return value, which will be passed to a python function as output. I tried this ↓ image

and this ↓ image

But all the methods turns out that the python function output data only retains one digit after the decimal point, which does not match the precision of float. For example: the return_data[0]=0.0025783 but the arr[0]=0.0

Where did I make a mistake? Anyone gets any ideas??

Reproducible example code

No response

Is this a regression? Put the last known working version here if it is.

Not a regression

qqjjdd avatar May 23 '23 09:05 qqjjdd


#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>

namespace py = pybind11;

py::array_t<float> create_array() {
    // Create a NumPy array with 5 elements, dtype=float
    py::array_t<float> arr(5);  // 5 elements, float dtype
    
    // Access the data buffer and set the values
    auto buf = arr.request();
    float* ptr = static_cast<float*>(buf.ptr);

    // Assign values with high precision
    ptr[0] = 0.0025783f;
    ptr[1] = 1.2345678f;
    ptr[2] = 3.1415926f;
    ptr[3] = 2.7182818f;
    ptr[4] = 1.6180339f;

    return arr;
}

PYBIND11_MODULE(example, m) {
    m.def("create_array", &create_array, "Create an array of floats with high precision");
}

ljluestc avatar Nov 23 '24 22:11 ljluestc