PyArray_NewFromDescr(<PyTypeObject *> np.ndarray, np.dtype('<H'), 2,dims, strides,pBuf, np.NPY_C_CONTIGUOUS, None)

PyArray_NewFromDescr( &PyArray_Type, PyArray_DescrFromType(m_table.datatypeid()), m_table.ndim(), shape, strides, data, NPY_ARRAY_WRITEABLE, nullptr));




/******INFOS******/
PyObject* PyArray_NewFromDescr(PyTypeObject* subtype, PyArray_Descr* descr, int nd, npy_intp* dims, npy_intp* strides, void* data, int flags, PyObject* obj)


nd dimensions
described by dims
data-type descriptor of the new array is descr.

    If subtype is of an array subclass instead of the base &PyArray_Type, then obj is the object to pass to the __array_finalize__ method of the subclass.

    If data is NULL, then new memory will be allocated and flags can be non-zero to indicate a Fortran-style contiguous array. If data is not NULL, then it is assumed to point to the memory to be used for the array and the flags argument is used as the new flags for the array (except the state of NPY_OWNDATA, NPY_ARRAY_WRITEBACKIFCOPY and NPY_ARRAY_UPDATEIFCOPY flags of the new array will be reset).

    In addition, if data is non-NULL, then strides can also be provided. If strides is NULL, then the array strides are computed as C-style contiguous (default) or Fortran-style contiguous (flags is nonzero for data = NULL or flags & NPY_ARRAY_F_CONTIGUOUS is nonzero non-NULL data). Any provided dims and strides are copied into newly allocated dimension and strides arrays for the new array object.






https://searchcode.com/file/101698327/numpy/core/src/multiarray/compiled_base.c#l-1251