/* Array Descr Object */ #define NPY_NO_DEPRECATED_API NPY_API_VERSION #define _MULTIARRAYMODULE #define PY_SSIZE_T_CLEAN #include #include #include "numpy/arrayobject.h" #include "npy_config.h" #include "npy_import.h" #include "common.h" #include "conversion_utils.h" #include "ctors.h" #include "dtypemeta.h" #include "scalartypes.h" #include "descriptor.h" #include "flagsobject.h" #include "getset.h" #include "arrayobject.h" #include "mem_overlap.h" #include "alloc.h" #include "npy_buffer.h" #include "shape.h" #include "multiarraymodule.h" #include "array_api_standard.h" /******************* array attribute get and set routines ******************/ static PyObject * array_ndim_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyLong_FromLong(PyArray_NDIM(self)); } static PyObject * array_flags_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_NewFlagsObject((PyObject *)self); } static PyObject * array_shape_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_IntTupleFromIntp(PyArray_NDIM(self), PyArray_DIMS(self)); } static int array_shape_set(PyArrayObject *self, PyObject *val, void* NPY_UNUSED(ignored)) { int nd; PyArrayObject *ret; if (val == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete array shape"); return -1; } /* Assumes C-order */ ret = (PyArrayObject *)PyArray_Reshape(self, val); if (ret == NULL) { return -1; } if (PyArray_DATA(ret) != PyArray_DATA(self)) { Py_DECREF(ret); PyErr_SetString(PyExc_AttributeError, "Incompatible shape for in-place modification. Use " "`.reshape()` to make a copy with the desired shape."); return -1; } nd = PyArray_NDIM(ret); if (nd > 0) { /* create new dimensions and strides */ npy_intp *_dimensions = npy_alloc_cache_dim(2 * nd); if (_dimensions == NULL) { Py_DECREF(ret); PyErr_NoMemory(); return -1; } /* Free old dimensions and strides */ npy_free_cache_dim_array(self); ((PyArrayObject_fields *)self)->nd = nd; ((PyArrayObject_fields *)self)->dimensions = _dimensions; ((PyArrayObject_fields *)self)->strides = _dimensions + nd; if (nd) { memcpy(PyArray_DIMS(self), PyArray_DIMS(ret), nd*sizeof(npy_intp)); memcpy(PyArray_STRIDES(self), PyArray_STRIDES(ret), nd*sizeof(npy_intp)); } } else { /* Free old dimensions and strides */ npy_free_cache_dim_array(self); ((PyArrayObject_fields *)self)->nd = 0; ((PyArrayObject_fields *)self)->dimensions = NULL; ((PyArrayObject_fields *)self)->strides = NULL; } Py_DECREF(ret); PyArray_UpdateFlags(self, NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_F_CONTIGUOUS); return 0; } static PyObject * array_strides_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_IntTupleFromIntp(PyArray_NDIM(self), PyArray_STRIDES(self)); } static int array_strides_set(PyArrayObject *self, PyObject *obj, void *NPY_UNUSED(ignored)) { if (obj == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete array strides"); return -1; } /* Deprecated NumPy 2.4, 2025-05-11 */ if (DEPRECATE("Setting the strides on a NumPy array has been deprecated in NumPy 2.4.\n" "As an alternative, you can create a new view using np.lib.stride_tricks.as_strided." ) < 0 ) { return -1; } PyArray_Dims newstrides = {NULL, -1}; PyArrayObject *new; npy_intp numbytes = 0; npy_intp offset = 0; npy_intp lower_offset = 0; npy_intp upper_offset = 0; Py_buffer view; if (!PyArray_OptionalIntpConverter(obj, &newstrides) || newstrides.len == -1) { PyErr_SetString(PyExc_TypeError, "invalid strides"); return -1; } if (newstrides.len != PyArray_NDIM(self)) { PyErr_Format(PyExc_ValueError, "strides must be " \ " same length as shape (%d)", PyArray_NDIM(self)); goto fail; } new = self; while(PyArray_BASE(new) && PyArray_Check(PyArray_BASE(new))) { new = (PyArrayObject *)(PyArray_BASE(new)); } /* * Get the available memory through the buffer interface on * PyArray_BASE(new) or if that fails from the current new */ if (PyArray_BASE(new) && PyObject_GetBuffer(PyArray_BASE(new), &view, PyBUF_SIMPLE) >= 0) { offset = PyArray_BYTES(self) - (char *)view.buf; numbytes = view.len + offset; PyBuffer_Release(&view); } else { PyErr_Clear(); offset_bounds_from_strides(PyArray_ITEMSIZE(new), PyArray_NDIM(new), PyArray_DIMS(new), PyArray_STRIDES(new), &lower_offset, &upper_offset); offset = PyArray_BYTES(self) - (PyArray_BYTES(new) + lower_offset); numbytes = upper_offset - lower_offset; } /* numbytes == 0 is special here, but the 0-size array case always works */ if (!PyArray_CheckStrides(PyArray_ITEMSIZE(self), PyArray_NDIM(self), numbytes, offset, PyArray_DIMS(self), newstrides.ptr)) { PyErr_SetString(PyExc_ValueError, "strides is not "\ "compatible with available memory"); goto fail; } if (newstrides.len) { memcpy(PyArray_STRIDES(self), newstrides.ptr, sizeof(npy_intp)*newstrides.len); } PyArray_UpdateFlags(self, NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_F_CONTIGUOUS | NPY_ARRAY_ALIGNED); npy_free_cache_dim_obj(newstrides); return 0; fail: npy_free_cache_dim_obj(newstrides); return -1; } static PyObject * array_priority_get(PyArrayObject *NPY_UNUSED(self), void *NPY_UNUSED(ignored)) { return PyFloat_FromDouble(NPY_PRIORITY); } static PyObject * array_typestr_get(PyArrayObject *self) { return arraydescr_protocol_typestr_get(PyArray_DESCR(self), NULL); } static PyObject * array_descr_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { Py_INCREF(PyArray_DESCR(self)); return (PyObject *)PyArray_DESCR(self); } static PyObject * array_protocol_descr_get(PyArrayObject *self) { PyObject *res; PyObject *dobj; res = arraydescr_protocol_descr_get(PyArray_DESCR(self), NULL); if (res) { return res; } PyErr_Clear(); /* get default */ dobj = PyTuple_New(2); if (dobj == NULL) { return NULL; } PyTuple_SET_ITEM(dobj, 0, PyUnicode_FromString("")); PyTuple_SET_ITEM(dobj, 1, array_typestr_get(self)); res = PyList_New(1); if (res == NULL) { Py_DECREF(dobj); return NULL; } PyList_SET_ITEM(res, 0, dobj); return res; } static PyObject * array_protocol_strides_get(PyArrayObject *self) { if (PyArray_ISCONTIGUOUS(self)) { Py_RETURN_NONE; } return PyArray_IntTupleFromIntp(PyArray_NDIM(self), PyArray_STRIDES(self)); } static PyObject * array_dataptr_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return Py_BuildValue("NO", PyLong_FromVoidPtr(PyArray_DATA(self)), ((PyArray_FLAGS(self) & NPY_ARRAY_WRITEABLE) && !(PyArray_FLAGS(self) & NPY_ARRAY_WARN_ON_WRITE)) ? Py_False : Py_True); } static PyObject * array_ctypes_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { PyObject *_numpy_internal; PyObject *ret; _numpy_internal = PyImport_ImportModule("numpy._core._internal"); if (_numpy_internal == NULL) { return NULL; } ret = PyObject_CallMethod(_numpy_internal, "_ctypes", "ON", self, PyLong_FromVoidPtr(PyArray_DATA(self))); Py_DECREF(_numpy_internal); return ret; } static PyObject * array_interface_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { PyObject *dict; PyObject *obj; dict = PyDict_New(); if (dict == NULL) { return NULL; } int ret; /* dataptr */ obj = array_dataptr_get(self, NULL); ret = PyDict_SetItemString(dict, "data", obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(dict); return NULL; } obj = array_protocol_strides_get(self); ret = PyDict_SetItemString(dict, "strides", obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(dict); return NULL; } obj = array_protocol_descr_get(self); ret = PyDict_SetItemString(dict, "descr", obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(dict); return NULL; } obj = arraydescr_protocol_typestr_get(PyArray_DESCR(self), NULL); ret = PyDict_SetItemString(dict, "typestr", obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(dict); return NULL; } obj = array_shape_get(self, NULL); ret = PyDict_SetItemString(dict, "shape", obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(dict); return NULL; } obj = PyLong_FromLong(3); ret = PyDict_SetItemString(dict, "version", obj); Py_DECREF(obj); if (ret < 0) { Py_DECREF(dict); return NULL; } return dict; } static PyObject * array_data_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyMemoryView_FromObject((PyObject *)self); } static PyObject * array_itemsize_get(PyArrayObject *self, void* NPY_UNUSED(ignored)) { return PyLong_FromLong((long) PyArray_ITEMSIZE(self)); } static PyObject * array_size_get(PyArrayObject *self, void* NPY_UNUSED(ignored)) { return PyArray_PyIntFromIntp(PyArray_SIZE(self)); } static PyObject * array_nbytes_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_PyIntFromIntp(PyArray_NBYTES(self)); } /* * If the type is changed. * Also needing change: strides, itemsize * * Either itemsize is exactly the same or the array is single-segment * (contiguous or fortran) with compatible dimensions The shape and strides * will be adjusted in that case as well. */ static int array_descr_set(PyArrayObject *self, PyObject *arg, void *NPY_UNUSED(ignored)) { PyArray_Descr *newtype = NULL; if (arg == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete array dtype"); return -1; } if (!(PyArray_DescrConverter(arg, &newtype)) || newtype == NULL) { PyErr_SetString(PyExc_TypeError, "invalid data-type for array"); return -1; } /* check that we are not reinterpreting memory containing Objects. */ if (_may_have_objects(PyArray_DESCR(self)) || _may_have_objects(newtype)) { PyObject *safe; if (npy_cache_import_runtime( "numpy._core._internal", "_view_is_safe", &npy_runtime_imports._view_is_safe) == -1) { goto fail; } safe = PyObject_CallFunction(npy_runtime_imports._view_is_safe, "OO", PyArray_DESCR(self), newtype); if (safe == NULL) { goto fail; } Py_DECREF(safe); } /* * Viewing as an unsized void implies a void dtype matching the size of the * current dtype. */ if (newtype->type_num == NPY_VOID && PyDataType_ISUNSIZED(newtype) && newtype->elsize != PyArray_ITEMSIZE(self)) { PyArray_DESCR_REPLACE(newtype); if (newtype == NULL) { return -1; } newtype->elsize = PyArray_ITEMSIZE(self); } /* Changing the size of the dtype results in a shape change */ if (newtype->elsize != PyArray_ITEMSIZE(self)) { /* forbidden cases */ if (PyArray_NDIM(self) == 0) { PyErr_SetString(PyExc_ValueError, "Changing the dtype of a 0d array is only supported " "if the itemsize is unchanged"); goto fail; } else if (PyDataType_HASSUBARRAY(newtype)) { PyErr_SetString(PyExc_ValueError, "Changing the dtype to a subarray type is only supported " "if the total itemsize is unchanged"); goto fail; } /* resize on last axis only */ int axis = PyArray_NDIM(self) - 1; if (PyArray_DIMS(self)[axis] != 1 && PyArray_SIZE(self) != 0 && PyArray_STRIDES(self)[axis] != PyArray_ITEMSIZE(self)) { PyErr_SetString(PyExc_ValueError, "To change to a dtype of a different size, the last axis " "must be contiguous"); goto fail; } npy_intp newdim; if (newtype->elsize < PyArray_ITEMSIZE(self)) { /* if it is compatible, increase the size of the last axis */ if (newtype->elsize == 0 || PyArray_ITEMSIZE(self) % newtype->elsize != 0) { PyErr_SetString(PyExc_ValueError, "When changing to a smaller dtype, its size must be a " "divisor of the size of original dtype"); goto fail; } newdim = PyArray_ITEMSIZE(self) / newtype->elsize; PyArray_DIMS(self)[axis] *= newdim; PyArray_STRIDES(self)[axis] = newtype->elsize; } else /* newtype->elsize > PyArray_ITEMSIZE(self) */ { /* if it is compatible, decrease the size of the relevant axis */ newdim = PyArray_DIMS(self)[axis] * PyArray_ITEMSIZE(self); if ((newdim % newtype->elsize) != 0) { PyErr_SetString(PyExc_ValueError, "When changing to a larger dtype, its size must be a " "divisor of the total size in bytes of the last axis " "of the array."); goto fail; } PyArray_DIMS(self)[axis] = newdim / newtype->elsize; PyArray_STRIDES(self)[axis] = newtype->elsize; } } /* Viewing as a subarray increases the number of dimensions */ if (PyDataType_HASSUBARRAY(newtype)) { /* * create new array object from data and update * dimensions, strides and descr from it */ PyArrayObject *temp; /* * We would decref newtype here. * temp will steal a reference to it */ temp = (PyArrayObject *) PyArray_NewFromDescr(&PyArray_Type, newtype, PyArray_NDIM(self), PyArray_DIMS(self), PyArray_STRIDES(self), PyArray_DATA(self), PyArray_FLAGS(self), NULL); if (temp == NULL) { return -1; } npy_free_cache_dim_array(self); ((PyArrayObject_fields *)self)->dimensions = PyArray_DIMS(temp); ((PyArrayObject_fields *)self)->nd = PyArray_NDIM(temp); ((PyArrayObject_fields *)self)->strides = PyArray_STRIDES(temp); newtype = PyArray_DESCR(temp); Py_INCREF(PyArray_DESCR(temp)); /* Fool deallocator not to delete these*/ ((PyArrayObject_fields *)temp)->nd = 0; ((PyArrayObject_fields *)temp)->dimensions = NULL; Py_DECREF(temp); } Py_DECREF(PyArray_DESCR(self)); ((PyArrayObject_fields *)self)->descr = newtype; PyArray_UpdateFlags(self, NPY_ARRAY_UPDATE_ALL); return 0; fail: Py_DECREF(newtype); return -1; } static PyObject * array_struct_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { PyArrayInterface *inter; inter = (PyArrayInterface *)PyArray_malloc(sizeof(PyArrayInterface)); if (inter==NULL) { return PyErr_NoMemory(); } inter->two = 2; inter->nd = PyArray_NDIM(self); inter->typekind = PyArray_DESCR(self)->kind; inter->itemsize = PyArray_ITEMSIZE(self); inter->flags = PyArray_FLAGS(self); if (inter->flags & NPY_ARRAY_WARN_ON_WRITE) { /* Export a warn-on-write array as read-only */ inter->flags = inter->flags & ~NPY_ARRAY_WARN_ON_WRITE; inter->flags = inter->flags & ~NPY_ARRAY_WRITEABLE; } /* reset unused flags */ inter->flags &= ~(NPY_ARRAY_WRITEBACKIFCOPY | NPY_ARRAY_OWNDATA); if (PyArray_ISNOTSWAPPED(self)) inter->flags |= NPY_ARRAY_NOTSWAPPED; /* * Copy shape and strides over since these can be reset *when the array is "reshaped". */ if (PyArray_NDIM(self) > 0) { inter->shape = (npy_intp *)PyArray_malloc(2*sizeof(npy_intp)*PyArray_NDIM(self)); if (inter->shape == NULL) { PyArray_free(inter); return PyErr_NoMemory(); } inter->strides = inter->shape + PyArray_NDIM(self); if (PyArray_NDIM(self)) { memcpy(inter->shape, PyArray_DIMS(self), sizeof(npy_intp)*PyArray_NDIM(self)); memcpy(inter->strides, PyArray_STRIDES(self), sizeof(npy_intp)*PyArray_NDIM(self)); } } else { inter->shape = NULL; inter->strides = NULL; } inter->data = PyArray_DATA(self); if (PyDataType_HASFIELDS(PyArray_DESCR(self))) { inter->descr = arraydescr_protocol_descr_get(PyArray_DESCR(self), NULL); if (inter->descr == NULL) { PyErr_Clear(); } else { inter->flags &= NPY_ARR_HAS_DESCR; } } else { inter->descr = NULL; } PyObject *ret = PyCapsule_New(inter, NULL, gentype_struct_free); if (ret == NULL) { return NULL; } Py_INCREF(self); if (PyCapsule_SetContext(ret, self) < 0) { return NULL; } return ret; } static PyObject * array_base_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { if (PyArray_BASE(self) == NULL) { Py_RETURN_NONE; } else { Py_INCREF(PyArray_BASE(self)); return PyArray_BASE(self); } } /* * Create a view of a complex array with an equivalent data-type * except it is real instead of complex. */ static PyArrayObject * _get_part(PyArrayObject *self, int imag) { int float_type_num; PyArray_Descr *type; PyArrayObject *ret; int offset; switch (PyArray_DESCR(self)->type_num) { case NPY_CFLOAT: float_type_num = NPY_FLOAT; break; case NPY_CDOUBLE: float_type_num = NPY_DOUBLE; break; case NPY_CLONGDOUBLE: float_type_num = NPY_LONGDOUBLE; break; default: PyErr_Format(PyExc_ValueError, "Cannot convert complex type number %d to float", PyArray_DESCR(self)->type_num); return NULL; } type = PyArray_DescrFromType(float_type_num); if (type == NULL) { return NULL; } offset = (imag ? type->elsize : 0); if (!PyArray_ISNBO(PyArray_DESCR(self)->byteorder)) { Py_SETREF(type, PyArray_DescrNew(type)); if (type == NULL) { return NULL; } type->byteorder = PyArray_DESCR(self)->byteorder; } ret = (PyArrayObject *)PyArray_NewFromDescrAndBase( Py_TYPE(self), type, PyArray_NDIM(self), PyArray_DIMS(self), PyArray_STRIDES(self), PyArray_BYTES(self) + offset, PyArray_FLAGS(self), (PyObject *)self, (PyObject *)self); if (ret == NULL) { return NULL; } return ret; } /* For Object arrays, we need to get and set the real part of each element. */ static PyObject * array_real_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { PyArrayObject *ret; if (PyArray_ISCOMPLEX(self)) { ret = _get_part(self, 0); return (PyObject *)ret; } else { Py_INCREF(self); return (PyObject *)self; } } static int array_real_set(PyArrayObject *self, PyObject *val, void *NPY_UNUSED(ignored)) { PyArrayObject *ret; PyArrayObject *new; int retcode; if (val == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete array real part"); return -1; } if (PyArray_ISCOMPLEX(self)) { ret = _get_part(self, 0); if (ret == NULL) { return -1; } } else { Py_INCREF(self); ret = self; } new = (PyArrayObject *)PyArray_FROM_O(val); if (new == NULL) { Py_DECREF(ret); return -1; } retcode = PyArray_CopyInto(ret, new); Py_DECREF(ret); Py_DECREF(new); return retcode; } /* For Object arrays we need to get and set the imaginary part of each element */ static PyObject * array_imag_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { PyArrayObject *ret; if (PyArray_ISCOMPLEX(self)) { ret = _get_part(self, 1); } else { Py_INCREF(PyArray_DESCR(self)); ret = (PyArrayObject *)PyArray_NewFromDescr_int( Py_TYPE(self), PyArray_DESCR(self), PyArray_NDIM(self), PyArray_DIMS(self), NULL, NULL, PyArray_ISFORTRAN(self), (PyObject *)self, NULL, _NPY_ARRAY_ZEROED); if (ret == NULL) { return NULL; } PyArray_CLEARFLAGS(ret, NPY_ARRAY_WRITEABLE); } return (PyObject *) ret; } static int array_imag_set(PyArrayObject *self, PyObject *val, void *NPY_UNUSED(ignored)) { if (val == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete array imaginary part"); return -1; } if (PyArray_ISCOMPLEX(self)) { PyArrayObject *ret; PyArrayObject *new; int retcode; ret = _get_part(self, 1); if (ret == NULL) { return -1; } new = (PyArrayObject *)PyArray_FROM_O(val); if (new == NULL) { Py_DECREF(ret); return -1; } retcode = PyArray_CopyInto(ret, new); Py_DECREF(ret); Py_DECREF(new); return retcode; } else { PyErr_SetString(PyExc_TypeError, "array does not have imaginary part to set"); return -1; } } static PyObject * array_flat_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_IterNew((PyObject *)self); } static int array_flat_set(PyArrayObject *self, PyObject *val, void *NPY_UNUSED(ignored)) { PyArrayObject *arr = NULL; int retval = -1; PyArrayIterObject *selfit = NULL, *arrit = NULL; PyArray_Descr *typecode; int swap; PyArray_CopySwapFunc *copyswap; if (val == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete array flat iterator"); return -1; } if (PyArray_FailUnlessWriteable(self, "array") < 0) return -1; typecode = PyArray_DESCR(self); Py_INCREF(typecode); arr = (PyArrayObject *)PyArray_FromAny(val, typecode, 0, 0, NPY_ARRAY_FORCECAST | PyArray_FORTRAN_IF(self), NULL); if (arr == NULL) { return -1; } arrit = (PyArrayIterObject *)PyArray_IterNew((PyObject *)arr); if (arrit == NULL) { goto exit; } selfit = (PyArrayIterObject *)PyArray_IterNew((PyObject *)self); if (selfit == NULL) { goto exit; } if (arrit->size == 0) { retval = 0; goto exit; } swap = PyArray_ISNOTSWAPPED(self) != PyArray_ISNOTSWAPPED(arr); copyswap = PyDataType_GetArrFuncs(PyArray_DESCR(self))->copyswap; if (PyDataType_REFCHK(PyArray_DESCR(self))) { while (selfit->index < selfit->size) { PyArray_Item_XDECREF(selfit->dataptr, PyArray_DESCR(self)); PyArray_Item_INCREF(arrit->dataptr, PyArray_DESCR(arr)); memmove(selfit->dataptr, arrit->dataptr, sizeof(PyObject **)); if (swap) { copyswap(selfit->dataptr, NULL, swap, self); } PyArray_ITER_NEXT(selfit); PyArray_ITER_NEXT(arrit); if (arrit->index == arrit->size) { PyArray_ITER_RESET(arrit); } } retval = 0; goto exit; } while(selfit->index < selfit->size) { copyswap(selfit->dataptr, arrit->dataptr, swap, self); PyArray_ITER_NEXT(selfit); PyArray_ITER_NEXT(arrit); if (arrit->index == arrit->size) { PyArray_ITER_RESET(arrit); } } retval = 0; exit: Py_XDECREF(selfit); Py_XDECREF(arrit); Py_XDECREF(arr); return retval; } static PyObject * array_transpose_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_Transpose(self, NULL); } static PyObject * array_matrix_transpose_get(PyArrayObject *self, void *NPY_UNUSED(ignored)) { return PyArray_MatrixTranspose(self); } static PyObject * array_ptp(PyArrayObject *self, void *NPY_UNUSED(ignored)) { PyErr_SetString(PyExc_AttributeError, "`ptp` was removed from the ndarray class in NumPy 2.0. " "Use np.ptp(arr, ...) instead."); return NULL; } static PyObject * array_newbyteorder(PyArrayObject *self, PyObject *args) { PyErr_SetString(PyExc_AttributeError, "`newbyteorder` was removed from the ndarray class " "in NumPy 2.0. " "Use `arr.view(arr.dtype.newbyteorder(order))` instead."); return NULL; } static PyObject * array_itemset(PyArrayObject *self, PyObject *args) { PyErr_SetString(PyExc_AttributeError, "`itemset` was removed from the ndarray class in " "NumPy 2.0. Use `arr[index] = value` instead."); return NULL; } NPY_NO_EXPORT PyGetSetDef array_getsetlist[] = { {"ndim", (getter)array_ndim_get, NULL, NULL, NULL}, {"flags", (getter)array_flags_get, NULL, NULL, NULL}, {"shape", (getter)array_shape_get, (setter)array_shape_set, NULL, NULL}, {"strides", (getter)array_strides_get, (setter)array_strides_set, NULL, NULL}, {"data", (getter)array_data_get, NULL, NULL, NULL}, {"itemsize", (getter)array_itemsize_get, NULL, NULL, NULL}, {"size", (getter)array_size_get, NULL, NULL, NULL}, {"nbytes", (getter)array_nbytes_get, NULL, NULL, NULL}, {"base", (getter)array_base_get, NULL, NULL, NULL}, {"dtype", (getter)array_descr_get, (setter)array_descr_set, NULL, NULL}, {"real", (getter)array_real_get, (setter)array_real_set, NULL, NULL}, {"imag", (getter)array_imag_get, (setter)array_imag_set, NULL, NULL}, {"flat", (getter)array_flat_get, (setter)array_flat_set, NULL, NULL}, {"ctypes", (getter)array_ctypes_get, NULL, NULL, NULL}, {"T", (getter)array_transpose_get, NULL, NULL, NULL}, {"mT", (getter)array_matrix_transpose_get, NULL, NULL, NULL}, {"ptp", (getter)array_ptp, NULL, NULL, NULL}, {"newbyteorder", (getter)array_newbyteorder, NULL, NULL, NULL}, {"itemset", (getter)array_itemset, NULL, NULL, NULL}, {"device", (getter)array_device, NULL, NULL, NULL}, {"__array_interface__", (getter)array_interface_get, NULL, NULL, NULL}, {"__array_struct__", (getter)array_struct_get, NULL, NULL, NULL}, {"__array_priority__", (getter)array_priority_get, NULL, NULL, NULL}, {NULL, NULL, NULL, NULL, NULL}, /* Sentinel */ }; /****************** end of attribute get and set routines *******************/