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stringdtype_ufuncs.cpp
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stringdtype_ufuncs.cpp
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/* Ufunc implementations for the StringDType class */
#define PY_SSIZE_T_CLEAN
#include <Python.h>
#define NPY_NO_DEPRECATED_API NPY_API_VERSION
#define _MULTIARRAYMODULE
#define _UMATHMODULE
#include "numpy/arrayobject.h"
#include "numpy/ndarraytypes.h"
#include "numpy/npy_math.h"
#include "numpy/ufuncobject.h"
#include "numpyos.h"
#include "gil_utils.h"
#include "dtypemeta.h"
#include "abstractdtypes.h"
#include "dispatching.h"
#include "string_ufuncs.h"
#include "stringdtype_ufuncs.h"
#include "string_buffer.h"
#include "string_fastsearch.h"
#include "templ_common.h" /* for npy_mul_size_with_overflow_size_t */
#include "stringdtype/static_string.h"
#include "stringdtype/dtype.h"
#include "stringdtype/utf8_utils.h"
#define LOAD_TWO_INPUT_STRINGS(CONTEXT) \
const npy_packed_static_string *ps1 = (npy_packed_static_string *)in1; \
npy_static_string s1 = {0, NULL}; \
int s1_isnull = NpyString_load(s1allocator, ps1, &s1); \
const npy_packed_static_string *ps2 = (npy_packed_static_string *)in2; \
npy_static_string s2 = {0, NULL}; \
int s2_isnull = NpyString_load(s2allocator, ps2, &s2); \
if (s1_isnull == -1 || s2_isnull == -1) { \
npy_gil_error(PyExc_MemoryError, "Failed to load string in %s", \
CONTEXT); \
goto fail; \
} \
static NPY_CASTING
multiply_resolve_descriptors(
struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const dtypes[], PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[], npy_intp *NPY_UNUSED(view_offset))
{
PyArray_Descr *ldescr = given_descrs[0];
PyArray_Descr *rdescr = given_descrs[1];
PyArray_StringDTypeObject *odescr = NULL;
PyArray_Descr *out_descr = NULL;
if (dtypes[0] == &PyArray_StringDType) {
odescr = (PyArray_StringDTypeObject *)ldescr;
}
else {
odescr = (PyArray_StringDTypeObject *)rdescr;
}
if (given_descrs[2] == NULL) {
out_descr = (PyArray_Descr *)new_stringdtype_instance(
odescr->na_object, odescr->coerce);
if (out_descr == NULL) {
return (NPY_CASTING)-1;
}
}
else {
Py_INCREF(given_descrs[2]);
out_descr = given_descrs[2];
}
Py_INCREF(ldescr);
loop_descrs[0] = ldescr;
Py_INCREF(rdescr);
loop_descrs[1] = rdescr;
loop_descrs[2] = out_descr;
return NPY_NO_CASTING;
}
template <typename T>
static int multiply_loop_core(
npy_intp N, char *sin, char *iin, char *out,
npy_intp s_stride, npy_intp i_stride, npy_intp o_stride,
PyArray_StringDTypeObject *idescr, PyArray_StringDTypeObject *odescr)
{
PyArray_Descr *descrs[2] =
{(PyArray_Descr *)idescr, (PyArray_Descr *)odescr};
npy_string_allocator *allocators[2] = {};
NpyString_acquire_allocators(2, descrs, allocators);
npy_string_allocator *iallocator = allocators[0];
npy_string_allocator *oallocator = allocators[1];
int has_null = idescr->na_object != NULL;
int has_nan_na = idescr->has_nan_na;
int has_string_na = idescr->has_string_na;
const npy_static_string *default_string = &idescr->default_string;
while (N--) {
const npy_packed_static_string *ips =
(npy_packed_static_string *)sin;
npy_static_string is = {0, NULL};
npy_packed_static_string *ops = (npy_packed_static_string *)out;
int is_isnull = NpyString_load(iallocator, ips, &is);
if (is_isnull == -1) {
npy_gil_error(PyExc_MemoryError,
"Failed to load string in multiply");
goto fail;
}
else if (is_isnull) {
if (has_nan_na) {
if (NpyString_pack_null(oallocator, ops) < 0) {
npy_gil_error(PyExc_MemoryError,
"Failed to deallocate string in multiply");
goto fail;
}
sin += s_stride;
iin += i_stride;
out += o_stride;
continue;
}
else if (has_string_na || !has_null) {
is = *(npy_static_string *)default_string;
}
else {
npy_gil_error(PyExc_TypeError,
"Cannot multiply null that is not a nan-like "
"value");
goto fail;
}
}
T factor = *(T *)iin;
size_t cursize = is.size;
size_t newsize;
int overflowed = npy_mul_with_overflow_size_t(
&newsize, cursize, factor);
if (overflowed) {
npy_gil_error(PyExc_MemoryError,
"Failed to allocate string in string multiply");
goto fail;
}
char *buf = NULL;
npy_static_string os = {0, NULL};
// in-place
if (descrs[0] == descrs[1]) {
buf = (char *)PyMem_RawMalloc(newsize);
if (buf == NULL) {
npy_gil_error(PyExc_MemoryError,
"Failed to allocate string in multiply");
goto fail;
}
}
else {
if (load_new_string(
ops, &os, newsize,
oallocator, "multiply") == -1) {
goto fail;
}
/* explicitly discard const; initializing new buffer */
buf = (char *)os.buf;
}
for (size_t i = 0; i < (size_t)factor; i++) {
/* multiply can't overflow because cursize * factor */
/* has already been checked and doesn't overflow */
memcpy((char *)buf + i * cursize, is.buf, cursize);
}
// clean up temp buffer for in-place operations
if (descrs[0] == descrs[1]) {
if (NpyString_pack(oallocator, ops, buf, newsize) < 0) {
npy_gil_error(PyExc_MemoryError,
"Failed to pack string in multiply");
goto fail;
}
PyMem_RawFree(buf);
}
sin += s_stride;
iin += i_stride;
out += o_stride;
}
NpyString_release_allocators(2, allocators);
return 0;
fail:
NpyString_release_allocators(2, allocators);
return -1;
}
template <typename T>
static int multiply_right_strided_loop(
PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[], npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
PyArray_StringDTypeObject *idescr =
(PyArray_StringDTypeObject *)context->descriptors[0];
PyArray_StringDTypeObject *odescr =
(PyArray_StringDTypeObject *)context->descriptors[2];
npy_intp N = dimensions[0];
char *sin = data[0];
char *iin = data[1];
char *out = data[2];
npy_intp in1_stride = strides[0];
npy_intp in2_stride = strides[1];
npy_intp out_stride = strides[2];
return multiply_loop_core<T>(
N, sin, iin, out, in1_stride, in2_stride, out_stride,
idescr, odescr);
}
template <typename T>
static int multiply_left_strided_loop(
PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[], npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
PyArray_StringDTypeObject *idescr =
(PyArray_StringDTypeObject *)context->descriptors[1];
PyArray_StringDTypeObject *odescr =
(PyArray_StringDTypeObject *)context->descriptors[2];
npy_intp N = dimensions[0];
char *iin = data[0];
char *sin = data[1];
char *out = data[2];
npy_intp in1_stride = strides[0];
npy_intp in2_stride = strides[1];
npy_intp out_stride = strides[2];
return multiply_loop_core<T>(
N, sin, iin, out, in2_stride, in1_stride, out_stride,
idescr, odescr);
}
static NPY_CASTING
binary_resolve_descriptors(struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const NPY_UNUSED(dtypes[]),
PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[],
npy_intp *NPY_UNUSED(view_offset))
{
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)given_descrs[0];
PyArray_StringDTypeObject *descr2 = (PyArray_StringDTypeObject *)given_descrs[1];
int out_coerce = descr1->coerce && descr1->coerce;
PyObject *out_na_object = NULL;
if (stringdtype_compatible_na(
descr1->na_object, descr2->na_object, &out_na_object) == -1) {
return (NPY_CASTING)-1;
}
Py_INCREF(given_descrs[0]);
loop_descrs[0] = given_descrs[0];
Py_INCREF(given_descrs[1]);
loop_descrs[1] = given_descrs[1];
PyArray_Descr *out_descr = NULL;
if (given_descrs[2] == NULL) {
out_descr = (PyArray_Descr *)new_stringdtype_instance(
out_na_object, out_coerce);
if (out_descr == NULL) {
return (NPY_CASTING)-1;
}
}
else {
Py_INCREF(given_descrs[2]);
out_descr = given_descrs[2];
}
loop_descrs[2] = out_descr;
return NPY_NO_CASTING;
}
static int
add_strided_loop(PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[], npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
PyArray_StringDTypeObject *s1descr = (PyArray_StringDTypeObject *)context->descriptors[0];
PyArray_StringDTypeObject *s2descr = (PyArray_StringDTypeObject *)context->descriptors[1];
PyArray_StringDTypeObject *odescr = (PyArray_StringDTypeObject *)context->descriptors[2];
int has_null = s1descr->na_object != NULL;
int has_nan_na = s1descr->has_nan_na;
int has_string_na = s1descr->has_string_na;
const npy_static_string *default_string = &s1descr->default_string;
npy_intp N = dimensions[0];
char *in1 = data[0];
char *in2 = data[1];
char *out = data[2];
npy_intp in1_stride = strides[0];
npy_intp in2_stride = strides[1];
npy_intp out_stride = strides[2];
npy_string_allocator *allocators[3] = {};
NpyString_acquire_allocators(3, context->descriptors, allocators);
npy_string_allocator *s1allocator = allocators[0];
npy_string_allocator *s2allocator = allocators[1];
npy_string_allocator *oallocator = allocators[2];
while (N--) {
LOAD_TWO_INPUT_STRINGS("add")
char *buf = NULL;
npy_static_string os = {0, NULL};
size_t newsize = 0;
npy_packed_static_string *ops = (npy_packed_static_string *)out;
if (NPY_UNLIKELY(s1_isnull || s2_isnull)) {
if (has_nan_na) {
if (NpyString_pack_null(oallocator, ops) < 0) {
npy_gil_error(PyExc_MemoryError,
"Failed to deallocate string in add");
goto fail;
}
goto next_step;
}
else if (has_string_na || !has_null) {
if (s1_isnull) {
s1 = *default_string;
}
if (s2_isnull) {
s2 = *default_string;
}
}
else {
npy_gil_error(PyExc_ValueError,
"Cannot add null that is not a nan-like value");
goto fail;
}
}
// check for overflow
newsize = s1.size + s2.size;
if (newsize < s1.size) {
npy_gil_error(PyExc_MemoryError, "Failed to allocate string in add");
goto fail;
}
// in-place
if (s1descr == odescr || s2descr == odescr) {
buf = (char *)PyMem_RawMalloc(newsize);
if (buf == NULL) {
npy_gil_error(PyExc_MemoryError,
"Failed to allocate string in add");
goto fail;
}
}
else {
if (load_new_string(ops, &os, newsize, oallocator, "add") == -1) {
goto fail;
}
// explicitly discard const; initializing new buffer
buf = (char *)os.buf;
}
memcpy(buf, s1.buf, s1.size);
memcpy(buf + s1.size, s2.buf, s2.size);
// clean up temporary in-place buffer
if (s1descr == odescr || s2descr == odescr) {
if (NpyString_pack(oallocator, ops, buf, newsize) < 0) {
npy_gil_error(PyExc_MemoryError,
"Failed to pack output string in add");
goto fail;
}
PyMem_RawFree(buf);
}
next_step:
in1 += in1_stride;
in2 += in2_stride;
out += out_stride;
}
NpyString_release_allocators(3, allocators);
return 0;
fail:
NpyString_release_allocators(3, allocators);
return -1;
}
static int
minimum_maximum_strided_loop(PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[], npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
const char *ufunc_name = ((PyUFuncObject *)context->caller)->name;
npy_bool invert = *(npy_bool *)context->method->static_data; // true for maximum
PyArray_StringDTypeObject *in1_descr =
((PyArray_StringDTypeObject *)context->descriptors[0]);
PyArray_StringDTypeObject *in2_descr =
((PyArray_StringDTypeObject *)context->descriptors[1]);
npy_intp N = dimensions[0];
char *in1 = data[0];
char *in2 = data[1];
char *out = data[2];
npy_intp in1_stride = strides[0];
npy_intp in2_stride = strides[1];
npy_intp out_stride = strides[2];
npy_string_allocator *allocators[3] = {};
NpyString_acquire_allocators(3, context->descriptors, allocators);
npy_string_allocator *in1_allocator = allocators[0];
npy_string_allocator *in2_allocator = allocators[1];
npy_string_allocator *out_allocator = allocators[2];
while (N--) {
const npy_packed_static_string *sin1 = (npy_packed_static_string *)in1;
const npy_packed_static_string *sin2 = (npy_packed_static_string *)in2;
npy_packed_static_string *sout = (npy_packed_static_string *)out;
int cmp = _compare(in1, in2, in1_descr, in2_descr);
if (cmp == 0 && (in1 == out || in2 == out)) {
goto next_step;
}
if ((cmp < 0) ^ invert) {
// if in and out are the same address, do nothing to avoid a
// use-after-free
if (in1 != out) {
if (free_and_copy(in1_allocator, out_allocator, sin1, sout,
ufunc_name) == -1) {
goto fail;
}
}
}
else {
if (in2 != out) {
if (free_and_copy(in2_allocator, out_allocator, sin2, sout,
ufunc_name) == -1) {
goto fail;
}
}
}
next_step:
in1 += in1_stride;
in2 += in2_stride;
out += out_stride;
}
NpyString_release_allocators(3, allocators);
return 0;
fail:
NpyString_release_allocators(3, allocators);
return -1;
}
static int
string_comparison_strided_loop(PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[],
npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
const char *ufunc_name = ((PyUFuncObject *)context->caller)->name;
npy_bool res_for_eq = ((npy_bool *)context->method->static_data)[0];
npy_bool res_for_lt = ((npy_bool *)context->method->static_data)[1];
npy_bool res_for_gt = ((npy_bool *)context->method->static_data)[2];
npy_bool res_for_ne = !res_for_eq;
npy_bool eq_or_ne = res_for_lt == res_for_gt;
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)context->descriptors[0];
int has_null = descr1->na_object != NULL;
int has_nan_na = descr1->has_nan_na;
int has_string_na = descr1->has_string_na;
const npy_static_string *default_string = &descr1->default_string;
npy_intp N = dimensions[0];
char *in1 = data[0];
char *in2 = data[1];
npy_bool *out = (npy_bool *)data[2];
npy_intp in1_stride = strides[0];
npy_intp in2_stride = strides[1];
npy_intp out_stride = strides[2];
npy_string_allocator *allocators[2] = {};
NpyString_acquire_allocators(2, context->descriptors, allocators);
npy_string_allocator *s1allocator = allocators[0];
npy_string_allocator *s2allocator = allocators[1];
while (N--) {
int cmp;
LOAD_TWO_INPUT_STRINGS(ufunc_name);
if (NPY_UNLIKELY(s1_isnull || s2_isnull)) {
if (has_nan_na) {
// s1 or s2 is NA
*out = NPY_FALSE;
goto next_step;
}
else if (has_null && !has_string_na) {
if (eq_or_ne) {
if (s1_isnull && s2_isnull) {
*out = res_for_eq;
}
else {
*out = res_for_ne;
}
}
else {
npy_gil_error(PyExc_ValueError,
"'%s' not supported for null values that are not "
"nan-like or strings.", ufunc_name);
goto fail;
}
}
else {
if (s1_isnull) {
s1 = *default_string;
}
if (s2_isnull) {
s2 = *default_string;
}
}
}
cmp = NpyString_cmp(&s1, &s2);
if (cmp == 0) {
*out = res_for_eq;
}
else if (cmp < 0) {
*out = res_for_lt;
}
else {
*out = res_for_gt;
}
next_step:
in1 += in1_stride;
in2 += in2_stride;
out += out_stride;
}
NpyString_release_allocators(2, allocators);
return 0;
fail:
NpyString_release_allocators(2, allocators);
return -1;
}
static NPY_CASTING
string_comparison_resolve_descriptors(
struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const NPY_UNUSED(dtypes[]),
PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[], npy_intp *NPY_UNUSED(view_offset))
{
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)given_descrs[0];
PyArray_StringDTypeObject *descr2 = (PyArray_StringDTypeObject *)given_descrs[1];
if (stringdtype_compatible_na(descr1->na_object, descr2->na_object, NULL) == -1) {
return (NPY_CASTING)-1;
}
Py_INCREF(given_descrs[0]);
loop_descrs[0] = given_descrs[0];
Py_INCREF(given_descrs[1]);
loop_descrs[1] = given_descrs[1];
loop_descrs[2] = PyArray_DescrFromType(NPY_BOOL); // cannot fail
return NPY_NO_CASTING;
}
static int
string_isnan_strided_loop(PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[],
npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
PyArray_StringDTypeObject *descr = (PyArray_StringDTypeObject *)context->descriptors[0];
int has_nan_na = descr->has_nan_na;
npy_intp N = dimensions[0];
char *in = data[0];
npy_bool *out = (npy_bool *)data[1];
npy_intp in_stride = strides[0];
npy_intp out_stride = strides[1];
while (N--) {
const npy_packed_static_string *s = (npy_packed_static_string *)in;
if (has_nan_na && NpyString_isnull(s)) {
*out = NPY_TRUE;
}
else {
*out = NPY_FALSE;
}
in += in_stride;
out += out_stride;
}
return 0;
}
static NPY_CASTING
string_bool_output_resolve_descriptors(
struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const NPY_UNUSED(dtypes[]),
PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[], npy_intp *NPY_UNUSED(view_offset))
{
Py_INCREF(given_descrs[0]);
loop_descrs[0] = given_descrs[0];
loop_descrs[1] = PyArray_DescrFromType(NPY_BOOL); // cannot fail
return NPY_NO_CASTING;
}
static NPY_CASTING
string_intp_output_resolve_descriptors(
struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const NPY_UNUSED(dtypes[]),
PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[], npy_intp *NPY_UNUSED(view_offset))
{
Py_INCREF(given_descrs[0]);
loop_descrs[0] = given_descrs[0];
loop_descrs[1] = PyArray_DescrFromType(NPY_INTP); // cannot fail
return NPY_NO_CASTING;
}
using utf8_buffer_method = bool (Buffer<ENCODING::UTF8>::*)();
static int
string_bool_output_unary_strided_loop(
PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[],
npy_intp const strides[],
NpyAuxData *NPY_UNUSED(auxdata))
{
const char *ufunc_name = ((PyUFuncObject *)context->caller)->name;
utf8_buffer_method is_it = *(utf8_buffer_method *)(context->method->static_data);
PyArray_StringDTypeObject *descr = (PyArray_StringDTypeObject *)context->descriptors[0];
npy_string_allocator *allocator = NpyString_acquire_allocator(descr);
int has_string_na = descr->has_string_na;
int has_nan_na = descr->has_nan_na;
const npy_static_string *default_string = &descr->default_string;
npy_intp N = dimensions[0];
char *in = data[0];
char *out = data[1];
npy_intp in_stride = strides[0];
npy_intp out_stride = strides[1];
while (N--) {
const npy_packed_static_string *ps = (npy_packed_static_string *)in;
npy_static_string s = {0, NULL};
const char *buffer = NULL;
size_t size = 0;
Buffer<ENCODING::UTF8> buf;
int is_null = NpyString_load(allocator, ps, &s);
if (is_null == -1) {
npy_gil_error(PyExc_MemoryError, "Failed to load string in %s", ufunc_name);
goto fail;
}
if (is_null) {
if (has_nan_na) {
// NA values are always falsy
*out = NPY_FALSE;
goto next_step;
}
else if (!has_string_na) {
npy_gil_error(PyExc_ValueError,
"Cannot use the %s function with a null that is "
"not a nan-like value", ufunc_name);
goto fail;
}
buffer = default_string->buf;
size = default_string->size;
}
else {
buffer = s.buf;
size = s.size;
}
buf = Buffer<ENCODING::UTF8>((char *)buffer, size);
*(npy_bool *)out = (buf.*is_it)();
next_step:
in += in_stride;
out += out_stride;
}
NpyString_release_allocator(allocator);
return 0;
fail:
NpyString_release_allocator(allocator);
return -1;
}
static int
string_strlen_strided_loop(PyArrayMethod_Context *context, char *const data[],
npy_intp const dimensions[],
npy_intp const strides[],
NpyAuxData *auxdata)
{
PyArray_StringDTypeObject *descr = (PyArray_StringDTypeObject *)context->descriptors[0];
npy_string_allocator *allocator = NpyString_acquire_allocator(descr);
int has_string_na = descr->has_string_na;
const npy_static_string *default_string = &descr->default_string;
npy_intp N = dimensions[0];
char *in = data[0];
char *out = data[1];
npy_intp in_stride = strides[0];
npy_intp out_stride = strides[1];
while (N--) {
const npy_packed_static_string *ps = (npy_packed_static_string *)in;
npy_static_string s = {0, NULL};
const char *buffer = NULL;
size_t size = 0;
Buffer<ENCODING::UTF8> buf;
int is_null = NpyString_load(allocator, ps, &s);
if (is_null == -1) {
npy_gil_error(PyExc_MemoryError, "Failed to load string in str_len");
goto fail;
}
if (is_null) {
if (!has_string_na) {
npy_gil_error(PyExc_ValueError,
"The length of a null string is undefined");
goto next_step;
}
buffer = default_string->buf;
size = default_string->size;
}
else {
buffer = s.buf;
size = s.size;
}
buf = Buffer<ENCODING::UTF8>((char *)buffer, size);
*(npy_intp *)out = buf.num_codepoints();
next_step:
in += in_stride;
out += out_stride;
}
NpyString_release_allocator(allocator);
return 0;
fail:
NpyString_release_allocator(allocator);
return -1;
}
static int
string_findlike_promoter(PyObject *NPY_UNUSED(ufunc),
PyArray_DTypeMeta *const op_dtypes[],
PyArray_DTypeMeta *const signature[],
PyArray_DTypeMeta *new_op_dtypes[])
{
new_op_dtypes[0] = NPY_DT_NewRef(&PyArray_StringDType);
new_op_dtypes[1] = NPY_DT_NewRef(&PyArray_StringDType);
new_op_dtypes[2] = NPY_DT_NewRef(&PyArray_Int64DType);
new_op_dtypes[3] = NPY_DT_NewRef(&PyArray_Int64DType);
new_op_dtypes[4] = PyArray_DTypeFromTypeNum(NPY_DEFAULT_INT);
return 0;
}
static NPY_CASTING
string_findlike_resolve_descriptors(
struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const NPY_UNUSED(dtypes[]),
PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[],
npy_intp *NPY_UNUSED(view_offset))
{
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)given_descrs[0];
PyArray_StringDTypeObject *descr2 = (PyArray_StringDTypeObject *)given_descrs[1];
if (stringdtype_compatible_na(descr1->na_object, descr2->na_object, NULL) == -1) {
return (NPY_CASTING)-1;
}
Py_INCREF(given_descrs[0]);
loop_descrs[0] = given_descrs[0];
Py_INCREF(given_descrs[1]);
loop_descrs[1] = given_descrs[1];
Py_INCREF(given_descrs[2]);
loop_descrs[2] = given_descrs[2];
Py_INCREF(given_descrs[3]);
loop_descrs[3] = given_descrs[3];
if (given_descrs[4] == NULL) {
loop_descrs[4] = PyArray_DescrFromType(NPY_DEFAULT_INT);
}
else {
Py_INCREF(given_descrs[4]);
loop_descrs[4] = given_descrs[4];
}
return NPY_NO_CASTING;
}
static int
string_startswith_endswith_promoter(
PyObject *NPY_UNUSED(ufunc),
PyArray_DTypeMeta *const op_dtypes[],
PyArray_DTypeMeta *const signature[],
PyArray_DTypeMeta *new_op_dtypes[])
{
new_op_dtypes[0] = NPY_DT_NewRef(&PyArray_StringDType);
new_op_dtypes[1] = NPY_DT_NewRef(&PyArray_StringDType);
new_op_dtypes[2] = NPY_DT_NewRef(&PyArray_Int64DType);
new_op_dtypes[3] = NPY_DT_NewRef(&PyArray_Int64DType);
new_op_dtypes[4] = PyArray_DTypeFromTypeNum(NPY_BOOL);
return 0;
}
static NPY_CASTING
string_startswith_endswith_resolve_descriptors(
struct PyArrayMethodObject_tag *NPY_UNUSED(method),
PyArray_DTypeMeta *const NPY_UNUSED(dtypes[]),
PyArray_Descr *const given_descrs[],
PyArray_Descr *loop_descrs[],
npy_intp *NPY_UNUSED(view_offset))
{
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)given_descrs[0];
PyArray_StringDTypeObject *descr2 = (PyArray_StringDTypeObject *)given_descrs[1];
if (stringdtype_compatible_na(descr1->na_object, descr2->na_object, NULL) == -1) {
return (NPY_CASTING)-1;
}
Py_INCREF(given_descrs[0]);
loop_descrs[0] = given_descrs[0];
Py_INCREF(given_descrs[1]);
loop_descrs[1] = given_descrs[1];
Py_INCREF(given_descrs[2]);
loop_descrs[2] = given_descrs[2];
Py_INCREF(given_descrs[3]);
loop_descrs[3] = given_descrs[3];
if (given_descrs[4] == NULL) {
loop_descrs[4] = PyArray_DescrFromType(NPY_BOOL);
}
else {
Py_INCREF(given_descrs[4]);
loop_descrs[4] = given_descrs[4];
}
return NPY_NO_CASTING;
}
typedef npy_intp find_like_function(Buffer<ENCODING::UTF8>, Buffer<ENCODING::UTF8>,
npy_int64, npy_int64);
static int
string_findlike_strided_loop(PyArrayMethod_Context *context,
char *const data[],
npy_intp const dimensions[],
npy_intp const strides[],
NpyAuxData *auxdata)
{
const char *ufunc_name = ((PyUFuncObject *)context->caller)->name;
find_like_function *function = *(find_like_function *)(context->method->static_data);
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)context->descriptors[0];
int has_null = descr1->na_object != NULL;
int has_string_na = descr1->has_string_na;
const npy_static_string *default_string = &descr1->default_string;
npy_string_allocator *allocators[2] = {};
NpyString_acquire_allocators(2, context->descriptors, allocators);
npy_string_allocator *s1allocator = allocators[0];
npy_string_allocator *s2allocator = allocators[1];
char *in1 = data[0];
char *in2 = data[1];
char *in3 = data[2];
char *in4 = data[3];
char *out = data[4];
npy_intp N = dimensions[0];
while (N--) {
LOAD_TWO_INPUT_STRINGS(ufunc_name);
if (NPY_UNLIKELY(s1_isnull || s2_isnull)) {
if (has_null && !has_string_na) {
npy_gil_error(PyExc_ValueError,
"'%s' not supported for null values that are not "
"strings.", ufunc_name);
goto fail;
}
else {
if (s1_isnull) {
s1 = *default_string;
}
if (s2_isnull) {
s2 = *default_string;
}
}
}
npy_int64 start = *(npy_int64 *)in3;
npy_int64 end = *(npy_int64 *)in4;
Buffer<ENCODING::UTF8> buf1((char *)s1.buf, s1.size);
Buffer<ENCODING::UTF8> buf2((char *)s2.buf, s2.size);
npy_intp pos = function(buf1, buf2, start, end);
if (pos == -2) {
goto fail;
}
*(npy_intp *)out = pos;
in1 += strides[0];
in2 += strides[1];
in3 += strides[2];
in4 += strides[3];
out += strides[4];
}
NpyString_release_allocators(2, allocators);
return 0;
fail:
NpyString_release_allocators(2, allocators);
return -1;
}
static int
string_startswith_endswith_strided_loop(PyArrayMethod_Context *context,
char *const data[],
npy_intp const dimensions[],
npy_intp const strides[],
NpyAuxData *auxdata)
{
const char *ufunc_name = ((PyUFuncObject *)context->caller)->name;
STARTPOSITION startposition = *(STARTPOSITION *)context->method->static_data;
PyArray_StringDTypeObject *descr1 = (PyArray_StringDTypeObject *)context->descriptors[0];
int has_null = descr1->na_object != NULL;
int has_string_na = descr1->has_string_na;
int has_nan_na = descr1->has_nan_na;
const npy_static_string *default_string = &descr1->default_string;
npy_string_allocator *allocators[2] = {};
NpyString_acquire_allocators(2, context->descriptors, allocators);
npy_string_allocator *s1allocator = allocators[0];
npy_string_allocator *s2allocator = allocators[1];
char *in1 = data[0];
char *in2 = data[1];
char *in3 = data[2];
char *in4 = data[3];
char *out = data[4];
npy_intp N = dimensions[0];
while (N--) {
LOAD_TWO_INPUT_STRINGS(ufunc_name);
if (NPY_UNLIKELY(s1_isnull || s2_isnull)) {
if (has_null && !has_string_na) {
if (has_nan_na) {
// nulls are always falsey for this operation.
*(npy_bool *)out = 0;
goto next_step;
}
else {
npy_gil_error(PyExc_ValueError,
"'%s' not supported for null values that "
"are not nan-like or strings.", ufunc_name);
goto fail;
}
}
else {
if (s1_isnull) {
s1 = *default_string;
}
if (s2_isnull) {
s2 = *default_string;
}
}
}
{
npy_int64 start = *(npy_int64 *)in3;
npy_int64 end = *(npy_int64 *)in4;
Buffer<ENCODING::UTF8> buf1((char *)s1.buf, s1.size);
Buffer<ENCODING::UTF8> buf2((char *)s2.buf, s2.size);