Function PyArray_IntpConverter

numpy/core/src/multiarray/conversion_utils.c:111–211

NUMPY_API * Get intp chunk from sequence * * This function takes a Python sequence object and allocates and * fills in an intp array with the converted values. * * Remember to free the pointer seq.ptr when done using * PyDimMem_FREE(seq.ptr)** */

 * PyDimMem_FREE(seq.ptr)**
 */
NPY_NO_EXPORT int
PyArray_IntpConverter(PyObject *obj, PyArray_Dims *seq)
{
    seq->ptr = NULL;
    seq->len = 0;

    /*
     * When the deprecation below expires, remove the `if` statement, and
     * update the comment for PyArray_OptionalIntpConverter.
     */
    if (obj == Py_None) {
        /* Numpy 1.20, 2020-05-31 */
        if (DEPRECATE(
                "Passing None into shape arguments as an alias for () is "
                "deprecated.") < 0){
            return NPY_FAIL;
        }
        return NPY_SUCCEED;
    }

    PyObject *seq_obj = NULL;

    /*
     * If obj is a scalar we skip all the useless computations and jump to
     * dimension_from_scalar as soon as possible.
     */
    if (!PyLong_CheckExact(obj) && PySequence_Check(obj)) {
        seq_obj = PySequence_Fast(obj,
               "expected a sequence of integers or a single integer.");
        if (seq_obj == NULL) {
            /* continue attempting to parse as a single integer. */
            PyErr_Clear();
        }
    }

    if (seq_obj == NULL) {
        /*
         * obj *might* be a scalar (if dimension_from_scalar does not fail, at
         * the moment no check have been performed to verify this hypothesis).
         */
        seq->ptr = npy_alloc_cache_dim(1);
        if (seq->ptr == NULL) {
            PyErr_NoMemory();
            return NPY_FAIL;
        }
        else {
            seq->len = 1;

            seq->ptr[0] = dimension_from_scalar(obj);
            if (error_converting(seq->ptr[0])) {
                /*
                 * If the error occurred is a type error (cannot convert the
                 * value to an integer) communicate that we expected a sequence
                 * or an integer from the user.
                 */
                if (PyErr_ExceptionMatches(PyExc_TypeError)) {
                    PyErr_Format(PyExc_TypeError,
                            "expected a sequence of integers or a single "